We need to translate Russian news post into English, format per rules.
First line: short headline under 90 chars, no markdown. Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines.
Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks. At most 4-5 per post, never a whole sentence.
Wrap study/journal citations and publication references in single underscores (e.g., Nature Aging, July 2026).
We need to preserve all facts, numbers, names, citations exactly. No added commentary.
We need to identify important facts: numbers like 15-миллиметрового (15-millimeter), 21-месячных крыс (21-month-old rats), date 25 августа (August 25), journal Advanced Science, maybe speed values 38.3 ± 4.2 m/s, 41.8 ± 4.7 m/s, time frames 10–16 weeks, 16 weeks, etc. Also Ga-PTA nanoparticles, mesenchymal stem cells, etc. But we need to be selective: at most 4-5 double asterisk wrapped facts.
We need to decide which facts to highlight: maybe the 15-millimeter defect, 21-month-old rats, August 25 publication in Advanced Science, nerve conduction speed results (38.3 ± 4.2 m/s vs 41.8 ± 4.7 m/s), and perhaps the 10–16 week timeframe. That's 5.
We must wrap each fact in double asterisks, not whole sentence. So we need to embed them within sentences.
Also need to wrap study/journal citations in single underscores: e.g., Advanced Science, August 25? Actually citation: "25 августа в Advanced Science вышла работа". So we should wrap the journal and date: Advanced Science, August 25. Possibly also mention the study year? Not needed.
We need to preserve all facts exactly. So we need to translate the Russian content into English, preserving numbers, names, etc.
Let's draft.
Headline: maybe "Ga‑PTA Nanoparticles and Stem Cells Aid 15‑mm Nerve Gap Repair in Aged Rats". Under 90 chars.
Now body paragraphs.
Paragraph 1: Introduce study: On August 25, a paper in Advanced Science described a 15‑mm defect in the sciatic nerve of 21‑month‑old rats. Authors placed Ga‑PTA nanoparticles, mesenchymal stem cells from jaw‑face tissue, and aligned microfibers into an artificial conduit.
Paragraph 2: Explain nerve regeneration basics: After injury, Schwann cells clear debris, guide regrowing axons, and remyelinate. In old rats, fewer myelinating Schwann cells and signs of ferroptosis were observed. Ferroptosis is iron‑dependent lipid peroxidation causing cell death. Prior work showed aged Schwann cells stall transition from repair to remyelination.
Paragraph 3: Describe how Ga‑PTA works: Nanoparticles release gallium in presence of Fe2+ and H2O2, lowering oxidants and ferrous iron in a cellular model of aging Schwann cells. In rats, Ga‑PTA reduced iron signal but did not increase myelin area by week 16, so stem cells were added to acquire Schwann‑cell traits, while microfibers gave directional cues.
Paragraph 4: Results: The conduit with gallium, cells, and microfibers was compared to cell‑only conduit and autograft. Rats showed restored cold/hot sensitivity, ankle movement, grip strength, myelin, and gait. At 16 weeks, nerve conduction velocity was 38.3 ± 4.2 m/s for the construct versus 41.8 ± 4.7 m/s for autograft.
Paragraph 5: Conclude: Each component contributed—gallium reduced ferroptosis markers, cells adopted Schwann‑cell properties, microfibers directed growth. The combination was validated by histology, sensitivity, motion, and signal conduction.
We need to ensure double asterisks around key numbers: maybe 15‑mm, 21‑month‑old, August 25, 38.3 ± 4.2 m/s, 41.8 ± 4.7 m/s. That's five. Ensure not whole sentence.
We need to wrap each fact individually with double asterisks, not the whole sentence. Eg: "15‑mm" etc.…
🔗 Read original →
First line: short headline under 90 chars, no markdown. Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines.
Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks. At most 4-5 per post, never a whole sentence.
Wrap study/journal citations and publication references in single underscores (e.g., Nature Aging, July 2026).
We need to preserve all facts, numbers, names, citations exactly. No added commentary.
We need to identify important facts: numbers like 15-миллиметрового (15-millimeter), 21-месячных крыс (21-month-old rats), date 25 августа (August 25), journal Advanced Science, maybe speed values 38.3 ± 4.2 m/s, 41.8 ± 4.7 m/s, time frames 10–16 weeks, 16 weeks, etc. Also Ga-PTA nanoparticles, mesenchymal stem cells, etc. But we need to be selective: at most 4-5 double asterisk wrapped facts.
We need to decide which facts to highlight: maybe the 15-millimeter defect, 21-month-old rats, August 25 publication in Advanced Science, nerve conduction speed results (38.3 ± 4.2 m/s vs 41.8 ± 4.7 m/s), and perhaps the 10–16 week timeframe. That's 5.
We must wrap each fact in double asterisks, not whole sentence. So we need to embed them within sentences.
Also need to wrap study/journal citations in single underscores: e.g., Advanced Science, August 25? Actually citation: "25 августа в Advanced Science вышла работа". So we should wrap the journal and date: Advanced Science, August 25. Possibly also mention the study year? Not needed.
We need to preserve all facts exactly. So we need to translate the Russian content into English, preserving numbers, names, etc.
Let's draft.
Headline: maybe "Ga‑PTA Nanoparticles and Stem Cells Aid 15‑mm Nerve Gap Repair in Aged Rats". Under 90 chars.
Now body paragraphs.
Paragraph 1: Introduce study: On August 25, a paper in Advanced Science described a 15‑mm defect in the sciatic nerve of 21‑month‑old rats. Authors placed Ga‑PTA nanoparticles, mesenchymal stem cells from jaw‑face tissue, and aligned microfibers into an artificial conduit.
Paragraph 2: Explain nerve regeneration basics: After injury, Schwann cells clear debris, guide regrowing axons, and remyelinate. In old rats, fewer myelinating Schwann cells and signs of ferroptosis were observed. Ferroptosis is iron‑dependent lipid peroxidation causing cell death. Prior work showed aged Schwann cells stall transition from repair to remyelination.
Paragraph 3: Describe how Ga‑PTA works: Nanoparticles release gallium in presence of Fe2+ and H2O2, lowering oxidants and ferrous iron in a cellular model of aging Schwann cells. In rats, Ga‑PTA reduced iron signal but did not increase myelin area by week 16, so stem cells were added to acquire Schwann‑cell traits, while microfibers gave directional cues.
Paragraph 4: Results: The conduit with gallium, cells, and microfibers was compared to cell‑only conduit and autograft. Rats showed restored cold/hot sensitivity, ankle movement, grip strength, myelin, and gait. At 16 weeks, nerve conduction velocity was 38.3 ± 4.2 m/s for the construct versus 41.8 ± 4.7 m/s for autograft.
Paragraph 5: Conclude: Each component contributed—gallium reduced ferroptosis markers, cells adopted Schwann‑cell properties, microfibers directed growth. The combination was validated by histology, sensitivity, motion, and signal conduction.
We need to ensure double asterisks around key numbers: maybe 15‑mm, 21‑month‑old, August 25, 38.3 ± 4.2 m/s, 41.8 ± 4.7 m/s. That's five. Ensure not whole sentence.
We need to wrap each fact individually with double asterisks, not the whole sentence. Eg: "15‑mm" etc.…
🔗 Read original →
PubMed Central (PMC)
A Microenvironment‐Adaptive Scaffold Rejuvenates Peripheral Nerve Regeneration During Aging Via Dual Modulation of Ferroptotic…
Repairing peripheral nerve injury remains a clinical challenge due to its limited regenerative capacity and the situation is further compounded with age. In this study, we identified the dysregulated repair program of Schwann cells (SCs) as a key ...
Single CTX310 infusion silences ANGPTL3, cuts LDL and triglycerides after one year
At the European Society of Cardiology congress, August 28, researchers presented 12‑month data from the phase 1 trial of CTX310. The drug delivers CRISPR‑Cas9 components to the liver in a single infusion to knock out the ANGPTL3 gene.
In the four participants who received the highest dose of 0.8 mg/kg, LDL‑cholesterol was on average 52.5% lower than baseline after one year, and triglycerides were 47.8% lower. These changes persisted for the full 12‑month period.
CTX310 uses a lipid nanoparticle to ferry mRNA for Cas9 and a guide RNA targeting ANGPTL3 into hepatocytes; once inside, Cas9 cuts the DNA, and the repaired gene loses function. ANGPTL3 normally inhibits enzymes that clear fats from the blood, so its loss improves lipid levels.
The phase 1 study enrolled 15 adults with severe lipid disorders unresponsive to maximal tolerated therapy, split into five dose groups. Safety and tolerability were the primary outcomes, while ANGPTL3 editing and lipid changes were secondary measures, as listed in the trial registry.
🔗 Read original →
At the European Society of Cardiology congress, August 28, researchers presented 12‑month data from the phase 1 trial of CTX310. The drug delivers CRISPR‑Cas9 components to the liver in a single infusion to knock out the ANGPTL3 gene.
In the four participants who received the highest dose of 0.8 mg/kg, LDL‑cholesterol was on average 52.5% lower than baseline after one year, and triglycerides were 47.8% lower. These changes persisted for the full 12‑month period.
CTX310 uses a lipid nanoparticle to ferry mRNA for Cas9 and a guide RNA targeting ANGPTL3 into hepatocytes; once inside, Cas9 cuts the DNA, and the repaired gene loses function. ANGPTL3 normally inhibits enzymes that clear fats from the blood, so its loss improves lipid levels.
The phase 1 study enrolled 15 adults with severe lipid disorders unresponsive to maximal tolerated therapy, split into five dose groups. Safety and tolerability were the primary outcomes, while ANGPTL3 editing and lipid changes were secondary measures, as listed in the trial registry.
🔗 Read original →
Synthetic mRNA pulse doubles rat beta‑cell count and drives human beta‑cell division
On 24 August a preprint appeared on bioRxiv, 24 August describing synthetic modified mRNAs that transiently activate a division program in beta‑cells. In sorted rat beta‑cell cultures, the number of cells rose from **24,654 → 4
🔗 Read original →
On 24 August a preprint appeared on bioRxiv, 24 August describing synthetic modified mRNAs that transiently activate a division program in beta‑cells. In sorted rat beta‑cell cultures, the number of cells rose from **24,654 → 4
🔗 Read original →
We need to translate the Russian news post into natural English, format according to rules:
- First line: short headline under 90 chars, no markdown, no # prefix.
- Then a blank line.
- Then body split into short paragraphs (2-3 sentences each), separated by blank lines.
- Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks . At most 4-5 per post, never a whole sentence.
- Wrap study/journal citations and publication references in single underscores _ (e.g., Nature Aging, July 2026).
- Preserve all facts, numbers, names, citations exactly. No added commentary.
- No source link.
We need to identify important facts to bold: numbers like 12,779 genes, 28 August, Cell, 33.4 million cells, 21.99 million cells, 11,527 suppressed genes, 2,035,311 significant pairs, nine regulators, 12 independently tested links, ten statistically significant, etc. Also dates: 28 August, maybe mention Cell publication date. Also gene names: IL10, IL21, mTORC1, SUMO. Also study: OneK1K with 782 participants, validated on 199. Also mention Gladstone Institutes release.
We need to limit bold to at most 4-5 per post. So we need to select maybe 4-5 key facts. Let's pick: 12,779 genes, 33.4 million cells, 21.99 million cells, 11,527 suppressed genes, 2,035,311 significant pairs. That's 5 bold items. Ensure not bold whole sentences.
We also need to wrap study/journal citations in single underscores: The work published in Cell on August 28 -> Cell, August 28. Also maybe mention OneK1K study -> OneK1K. Also Gladstone Institutes release maybe not a journal citation; but could be just text.
We need to ensure we don't bold whole sentences; only wrap the specific numbers/names.
Let's craft headline: something like "Perturb‑seq maps state‑dependent gene effects in human CD4+ T cells". Count characters: Let's count: "Perturb‑seq maps state‑dependent gene effects in human CD4+ T cells". Characters: Let's count roughly: P(1) e2 r3 t4 u5 r6 b7 ‑ (maybe counts as one) 8 s9 e10 q11 (space)12 m13 a14 p15 s16 (space)17 s18 t19 a20 t21 e22 ‑23 d24 e25 p26 e27 n28 d29 e30 n31 t32 (space)33 g34 e35 n36 e37 (space)38 e39 f40 f41 e42 c43 t44 s45 (space)46 i47 n48 (space)49 h50 u51 m52 a53 n54 (space)55 C56 D57 4 58 + 59 (space)60 T61 (space)62 c63 e64 l65 l66 s67. That's about 67 chars, okay under 90.
Now body paragraphs: We need short paragraphs 2-3 sentences each.
Let's break content:
Paragraph 1: Introduce study: On August 28, Cell published work on CD4+ T cells measuring effects of suppressing 12,779 genes in primary human T cells. Team took blood from four healthy donors, partially knocked down each gene one at a time, and read responses at rest, 8h, and 48h after restimulation.
Paragraph 2: Explain Perturb-seq method: They used CRISPRi with guide RNAs to partially suppress a gene, then measured which other genes became more or less active. After QC, from 33.4 million cells they kept 21.99 million with unambiguous guide assignments. For 11,527 suppressed genes they evaluated changes and found 2,035,311 significant gene‑pair links, each tied to a specific T‑cell state.
Paragraph 3: Validation: Nine known and novel regulators of IL10 and IL21 were tested with two independent guides, RNA readout and protein measurement. In all 12 tested links the effect direction matched the main experiment; ten were statistically significant. The same suppressed gene gave different effects in three cell states.
Paragraph 4: Temporal patterns: At 8h after stimulation they saw early gene clusters linked to calcium‑mediated signaling; at 48h they saw late clusters linked to cell division and genome maintenance. This state‑dependence turns a “virtual cell” into a testable problem: a computer model must predict the measured response from cell state and perturbation.…
🔗 Read original →
- First line: short headline under 90 chars, no markdown, no # prefix.
- Then a blank line.
- Then body split into short paragraphs (2-3 sentences each), separated by blank lines.
- Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks . At most 4-5 per post, never a whole sentence.
- Wrap study/journal citations and publication references in single underscores _ (e.g., Nature Aging, July 2026).
- Preserve all facts, numbers, names, citations exactly. No added commentary.
- No source link.
We need to identify important facts to bold: numbers like 12,779 genes, 28 August, Cell, 33.4 million cells, 21.99 million cells, 11,527 suppressed genes, 2,035,311 significant pairs, nine regulators, 12 independently tested links, ten statistically significant, etc. Also dates: 28 August, maybe mention Cell publication date. Also gene names: IL10, IL21, mTORC1, SUMO. Also study: OneK1K with 782 participants, validated on 199. Also mention Gladstone Institutes release.
We need to limit bold to at most 4-5 per post. So we need to select maybe 4-5 key facts. Let's pick: 12,779 genes, 33.4 million cells, 21.99 million cells, 11,527 suppressed genes, 2,035,311 significant pairs. That's 5 bold items. Ensure not bold whole sentences.
We also need to wrap study/journal citations in single underscores: The work published in Cell on August 28 -> Cell, August 28. Also maybe mention OneK1K study -> OneK1K. Also Gladstone Institutes release maybe not a journal citation; but could be just text.
We need to ensure we don't bold whole sentences; only wrap the specific numbers/names.
Let's craft headline: something like "Perturb‑seq maps state‑dependent gene effects in human CD4+ T cells". Count characters: Let's count: "Perturb‑seq maps state‑dependent gene effects in human CD4+ T cells". Characters: Let's count roughly: P(1) e2 r3 t4 u5 r6 b7 ‑ (maybe counts as one) 8 s9 e10 q11 (space)12 m13 a14 p15 s16 (space)17 s18 t19 a20 t21 e22 ‑23 d24 e25 p26 e27 n28 d29 e30 n31 t32 (space)33 g34 e35 n36 e37 (space)38 e39 f40 f41 e42 c43 t44 s45 (space)46 i47 n48 (space)49 h50 u51 m52 a53 n54 (space)55 C56 D57 4 58 + 59 (space)60 T61 (space)62 c63 e64 l65 l66 s67. That's about 67 chars, okay under 90.
Now body paragraphs: We need short paragraphs 2-3 sentences each.
Let's break content:
Paragraph 1: Introduce study: On August 28, Cell published work on CD4+ T cells measuring effects of suppressing 12,779 genes in primary human T cells. Team took blood from four healthy donors, partially knocked down each gene one at a time, and read responses at rest, 8h, and 48h after restimulation.
Paragraph 2: Explain Perturb-seq method: They used CRISPRi with guide RNAs to partially suppress a gene, then measured which other genes became more or less active. After QC, from 33.4 million cells they kept 21.99 million with unambiguous guide assignments. For 11,527 suppressed genes they evaluated changes and found 2,035,311 significant gene‑pair links, each tied to a specific T‑cell state.
Paragraph 3: Validation: Nine known and novel regulators of IL10 and IL21 were tested with two independent guides, RNA readout and protein measurement. In all 12 tested links the effect direction matched the main experiment; ten were statistically significant. The same suppressed gene gave different effects in three cell states.
Paragraph 4: Temporal patterns: At 8h after stimulation they saw early gene clusters linked to calcium‑mediated signaling; at 48h they saw late clusters linked to cell division and genome maintenance. This state‑dependence turns a “virtual cell” into a testable problem: a computer model must predict the measured response from cell state and perturbation.…
🔗 Read original →
Cell
Genome-scale perturb-seq in primary human CD4+ T cells maps context-specific regulators of T cell programs and human immune traits
A dynamic atlas of gene regulation was generated by perturbing every expressed gene
across 22 million primary human CD4+ T cells under resting conditions and following
re-stimulation. The resulting map reveals context-specific regulators of immune programs…
across 22 million primary human CD4+ T cells under resting conditions and following
re-stimulation. The resulting map reveals context-specific regulators of immune programs…
We need to translate Russian news post into English, format per rules.
First line: short headline under 90 chars, no markdown. Then blank line, then body with short paragraphs (2-3 sentences each), separated by blank lines.
Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks . At most 4-5 per post, never a whole sentence.
Wrap study/journal citations and publication references in single underscores _ (e.g., Nature Aging, July 2026).
We need to preserve all facts, numbers, names, citations exactly. No added commentary.
We need to identify important facts: dates (26 August), names (Lucrezia Trustus? Actually Russian: "Лукреция Трастус и Фабрицио д’Адда ди Фаганья". Likely "Lucrezia Trustus and Fabrizio d’Adda di Fagagna". Genes: p16Ink4a, p53, DNA polymerases ε and δ, telomeres, SASP. Numbers: less than a million senescent cells introduced, etc. Also mention of study in journal Aging.
We need to limit double asterisks to at most 4-5. Choose key facts: date 26 August, gene p16Ink4a, gene p53, DNA polymerases ε and δ, maybe less than a million senescent cells. That's 5.
We need to wrap study/journal citation: Aging (the journal). Possibly also mention of experiment by Fabrizio d’Adda di Fagagna group. But that's not a citation; it's a researcher. We'll keep citation as Aging.
Now produce translation.
First line headline: something like "Review Proposes Ways to Separate DNA Damage Signaling from Mutations in Aging". Under 90 chars.
Let's count: "Review Proposes Ways to Separate DNA Damage Signaling from Mutations in Aging" length: count characters: Review(6) space1=7, Proposes(8)=15, space=16, Ways(4)=20, space=21, to(2)=23, space=24, Separate(8)=32, space=33, DNA(3)=36, space=37, Damage(6)=43, space=44, Signaling(8)=52, space=53, from(4)=57, space=58, Mutations(9)=67, space=68, in(2)=70, space=71, Aging(5)=76. So 76 chars, okay.
Now blank line.
Now body paragraphs.
Paragraph 1: summarize that on August 26, Lucrezia Trustus and Fabrizio d’Adda di Fagagna in Aging reviewed cellular senescence vs somatic mutations, evaluating experiments distinguishing cause vs marker.
We need to keep facts: date 26 August, journal Aging, names, maybe mention "cellular senescence" and "somatic mutations". We'll wrap date and maybe journal? Journal citation is single underscore, not double. So date double asterisk, journal single underscore.
Paragraph 2: talk about somatic mutation definition, clonal expansion, genomic mosaic.
Paragraph 3: DNA damage includes signaling and repair; error can leave mutation; question.
Paragraph 4: experiments both ways for senescence: mouse models with altered genes removing p16Ink4a cells; later animals showed or weakened sarcopenia, cataract, lipodystrophy; introducing <1 million senescent cells to young mice worsened physical function. Need to wrap p16Ink4a double asterisk, maybe also "less than a million". We'll wrap p16Ink4a and "less than a million". That's two double asterisks.
Paragraph 5: Senescent cells secrete SASP, etc.
Paragraph 6: People with inherited defects in DNA polymerases ε and δ have more mutations but no premature aging signs. Wrap polymerases ε and δ double asterisk (maybe as "ε and δ").
Paragraph 7: In several accelerated aging models, suppressing p53 alleviated age-related pathologies despite critically short telomeres, indicating role of signaling. Wrap p53 double asterisk.
Paragraph 8: Experiment with telomeric damage signaling by Fabrizio d’Adda di Fagagna group improved hematopoietic recovery in mice without lengthening telomeres.
Paragraph 9: To test mutation role, authors suggest creating many base substitutions using base editors that change a letter without cutting both DNA strands; need to measure residual damage signal separately.…
🔗 Read original →
First line: short headline under 90 chars, no markdown. Then blank line, then body with short paragraphs (2-3 sentences each), separated by blank lines.
Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks . At most 4-5 per post, never a whole sentence.
Wrap study/journal citations and publication references in single underscores _ (e.g., Nature Aging, July 2026).
We need to preserve all facts, numbers, names, citations exactly. No added commentary.
We need to identify important facts: dates (26 August), names (Lucrezia Trustus? Actually Russian: "Лукреция Трастус и Фабрицио д’Адда ди Фаганья". Likely "Lucrezia Trustus and Fabrizio d’Adda di Fagagna". Genes: p16Ink4a, p53, DNA polymerases ε and δ, telomeres, SASP. Numbers: less than a million senescent cells introduced, etc. Also mention of study in journal Aging.
We need to limit double asterisks to at most 4-5. Choose key facts: date 26 August, gene p16Ink4a, gene p53, DNA polymerases ε and δ, maybe less than a million senescent cells. That's 5.
We need to wrap study/journal citation: Aging (the journal). Possibly also mention of experiment by Fabrizio d’Adda di Fagagna group. But that's not a citation; it's a researcher. We'll keep citation as Aging.
Now produce translation.
First line headline: something like "Review Proposes Ways to Separate DNA Damage Signaling from Mutations in Aging". Under 90 chars.
Let's count: "Review Proposes Ways to Separate DNA Damage Signaling from Mutations in Aging" length: count characters: Review(6) space1=7, Proposes(8)=15, space=16, Ways(4)=20, space=21, to(2)=23, space=24, Separate(8)=32, space=33, DNA(3)=36, space=37, Damage(6)=43, space=44, Signaling(8)=52, space=53, from(4)=57, space=58, Mutations(9)=67, space=68, in(2)=70, space=71, Aging(5)=76. So 76 chars, okay.
Now blank line.
Now body paragraphs.
Paragraph 1: summarize that on August 26, Lucrezia Trustus and Fabrizio d’Adda di Fagagna in Aging reviewed cellular senescence vs somatic mutations, evaluating experiments distinguishing cause vs marker.
We need to keep facts: date 26 August, journal Aging, names, maybe mention "cellular senescence" and "somatic mutations". We'll wrap date and maybe journal? Journal citation is single underscore, not double. So date double asterisk, journal single underscore.
Paragraph 2: talk about somatic mutation definition, clonal expansion, genomic mosaic.
Paragraph 3: DNA damage includes signaling and repair; error can leave mutation; question.
Paragraph 4: experiments both ways for senescence: mouse models with altered genes removing p16Ink4a cells; later animals showed or weakened sarcopenia, cataract, lipodystrophy; introducing <1 million senescent cells to young mice worsened physical function. Need to wrap p16Ink4a double asterisk, maybe also "less than a million". We'll wrap p16Ink4a and "less than a million". That's two double asterisks.
Paragraph 5: Senescent cells secrete SASP, etc.
Paragraph 6: People with inherited defects in DNA polymerases ε and δ have more mutations but no premature aging signs. Wrap polymerases ε and δ double asterisk (maybe as "ε and δ").
Paragraph 7: In several accelerated aging models, suppressing p53 alleviated age-related pathologies despite critically short telomeres, indicating role of signaling. Wrap p53 double asterisk.
Paragraph 8: Experiment with telomeric damage signaling by Fabrizio d’Adda di Fagagna group improved hematopoietic recovery in mice without lengthening telomeres.
Paragraph 9: To test mutation role, authors suggest creating many base substitutions using base editors that change a letter without cutting both DNA strands; need to measure residual damage signal separately.…
🔗 Read original →
Aging-Us
Assessing mechanisms and evidence of a causal role for cellular senescence and somatic mutations in aging | Aging
Understanding the primary molecular and cellular drivers of aging and how they trigger systemic functional decline remains a fundamental challenge. This review focuses on two proposed drivers of agin
DNA methylation patterns in blood split into ten age‑related types
A preprint posted 29 August mapped age‑related changes in DNA methylation — chemical tags on DNA — in whole blood. Using 3,501 whole blood samples, the researchers confidently assigned more than 600 000 of the 811 870 CpG sites — short DNA regions where methylation is measured — to ten distinct methylation patterns.
For each CpG site they plotted age on one axis and methylation level on the other, letting a neural network recognise the shape of the plot and assign the site to one of the ten types. One of the types was linked to an inflammatory signal and to mortality. The same age‑related methylation shift can look different: some sites show a gradual change in average level, others display increasing variability between people, and yet others form clusters tied to sex or genetic variants.
To isolate the component driven by increasing variability, the authors built the NoiseClock metric from 399 CpG selected in three independent cohorts after statistically correcting for the estimated proportions of twelve cell types. At these CpG the average methylation level does not change with age, but the inter‑individual spread grows. NoiseClock was defined as the average deviation of these marks from their usual level and was tested in 14 blood‑based datasets and five sorted immune‑cell datasets, where the age association persisted.
NoiseClock also correlated with a methylation‑based inflammation score that had been adjusted for cell composition. In the Generation Scotland cohort the metric was calculated for 18,859 participants, during which 842 deaths were
🔗 Read original →
A preprint posted 29 August mapped age‑related changes in DNA methylation — chemical tags on DNA — in whole blood. Using 3,501 whole blood samples, the researchers confidently assigned more than 600 000 of the 811 870 CpG sites — short DNA regions where methylation is measured — to ten distinct methylation patterns.
For each CpG site they plotted age on one axis and methylation level on the other, letting a neural network recognise the shape of the plot and assign the site to one of the ten types. One of the types was linked to an inflammatory signal and to mortality. The same age‑related methylation shift can look different: some sites show a gradual change in average level, others display increasing variability between people, and yet others form clusters tied to sex or genetic variants.
To isolate the component driven by increasing variability, the authors built the NoiseClock metric from 399 CpG selected in three independent cohorts after statistically correcting for the estimated proportions of twelve cell types. At these CpG the average methylation level does not change with age, but the inter‑individual spread grows. NoiseClock was defined as the average deviation of these marks from their usual level and was tested in 14 blood‑based datasets and five sorted immune‑cell datasets, where the age association persisted.
NoiseClock also correlated with a methylation‑based inflammation score that had been adjusted for cell composition. In the Generation Scotland cohort the metric was calculated for 18,859 participants, during which 842 deaths were
🔗 Read original →
Researchsquare
An error has occurred
Research Square is a preprint platform that makes research communication faster, fairer, and more useful.
Audrey Krus Uses Neuralink Implant to Draw Digitally
Previously, by decoding motor cortex signals, Audrey Krus could only move a cursor. She could also sign documents digitally and play video games.
In the latest demonstration her abilities expanded to full‑scale digital drawing. This requires far more complex, continuous, and precise decoding of neural impulses than simple mouse clicks.
These new results with Audrey Krus serve as an important data set for regulators. Neuralink hopes to use them to obtain expanded FDA approval and move toward scalable, high‑volume implant deployment by end of this year.
🔗 Read original →
Previously, by decoding motor cortex signals, Audrey Krus could only move a cursor. She could also sign documents digitally and play video games.
In the latest demonstration her abilities expanded to full‑scale digital drawing. This requires far more complex, continuous, and precise decoding of neural impulses than simple mouse clicks.
These new results with Audrey Krus serve as an important data set for regulators. Neuralink hopes to use them to obtain expanded FDA approval and move toward scalable, high‑volume implant deployment by end of this year.
🔗 Read original →
X (formerly Twitter)
Neuralink (@neuralink) on X
With Neuralink, Audrey is creating art with her mind.
We need to translate Russian news post into natural English, format per guidelines.
First line: short headline under 90 chars, no markdown, no '#'.
Then blank line, then body paragraphs short (2-3 sentences each), separated by blank lines.
Wrap few genuinely important facts (key numbers, percentages, drug/company/gene names, dates) in double asterisks . At most 4-5 per post, never a whole sentence.
Wrap study/journal citations and publication references in single underscores _ (e.g., Nature Medicine, August 26, 2024? Actually they gave date: published August 26, 2024? The Russian says "опубликованной 26 августа". No year given but likely 2024? We'll keep as given: Nature Medicine, August 26 maybe include year if known? We'll just follow: Nature Medicine, August 26.
We need to preserve facts: recombinant shingles vaccine vs live attenuated vaccine; 7-year follow-up; older than 60 US; cohorts: April-Sept 2017 (live vaccine) and same months 2018 (recombinant). Each cohort 36,460 people. In 2017 cohort 98.6% got live vaccine; in 2018 cohort 93.5% got recombinant. Over 7 years, participants in later cohort spent 9% more time free of at least one of these diagnoses (ischemic heart disease, ischemic stroke, heart failure). Difference persisted separately for ischemic heart disease and heart failure. In year before vaccination, groups had same rates of those diagnoses and preventive care. Calendar period check: tetanus-diphtheria-pertussis vaccine recipients showed similar time free of CV diagnosis. Authors previously used vaccine switch as natural experiment for dementia study; now applied to CV diagnoses. Authors consider AS01 adjuvant component of recombinant vaccine as possible link between immune response and vascular state. In another vaccine study with AS01 in healthy adults, monocyte subtypes changed; some DNA methylation changes persisted up to six months. Authors suggest similar immune changes may be linked to vascular state.
We need to bold key numbers: maybe 7 years, 9%, 36,460, 98.6%, 93.5%, AS01, etc. But limit to 4-5 total bolded items. Choose most important: 7 years, 9%, 36,460, 98.6%, 93.5%? That's 5. Could also bold AS01 but that would be 6. So maybe bold: 7 years, 9%, 36,460, 98.6%, 93.5%. That's 5.
We must not bold whole sentences. So embed bold within sentences.
Citation: Nature Medicine, August 26 (maybe include year if known but not given). We'll just put Nature Medicine, August 26.
Now format: Headline line, blank line, then paragraphs.
Paragraph 1: summary of study and cohorts.
Paragraph 2: results (9% more time free, etc.)
Paragraph 3: details about cohorts matching, baseline similarity, calendar period check.
Paragraph 4: link to previous dementia work, AS01 adjuvant, monocyte changes.
Make sure each paragraph 2-3 sentences.
Let's craft.
Headline: "Recombinant shingles vaccine linked to longer cardiovascular disease‑free period in older adults"
Count characters: Let's count: "Recombinant shingles vaccine linked to longer cardiovascular disease‑free period in older adults". Count: R(1) e2 c3 o4 m5 b6 i7 n8 a9 n10 t11 (space12) s13 h14 i15 n16 g17 l18 e19 s20 (space21) v22 a23 c24 c25 i26 n27 e28 (space29) l30 i31 n32 k33 e34 d35 (space36) t37 o38 (space39) l40 o41 n42 g43 e44 r45 (space46) c47 a48 r49 d50 i51 o52 v53 a54 s55 c56 u57 l58 a59 r60 (space61) d62 i63 s64 e65 a66 s67 e‑ (maybe hyphen counts as char) f68 r69 e70 e71 (space72) p73 e74 r75 i76 o77 d78 (space79) i80 n81 (space82) o83 l84 d85 e86 r87 (space88) a89 d90 u91 l92 t93 s94 (space95) a96 d97 l98 t99. That's 99 characters, exceeds 90. Need under 90.…
🔗 Read original →
First line: short headline under 90 chars, no markdown, no '#'.
Then blank line, then body paragraphs short (2-3 sentences each), separated by blank lines.
Wrap few genuinely important facts (key numbers, percentages, drug/company/gene names, dates) in double asterisks . At most 4-5 per post, never a whole sentence.
Wrap study/journal citations and publication references in single underscores _ (e.g., Nature Medicine, August 26, 2024? Actually they gave date: published August 26, 2024? The Russian says "опубликованной 26 августа". No year given but likely 2024? We'll keep as given: Nature Medicine, August 26 maybe include year if known? We'll just follow: Nature Medicine, August 26.
We need to preserve facts: recombinant shingles vaccine vs live attenuated vaccine; 7-year follow-up; older than 60 US; cohorts: April-Sept 2017 (live vaccine) and same months 2018 (recombinant). Each cohort 36,460 people. In 2017 cohort 98.6% got live vaccine; in 2018 cohort 93.5% got recombinant. Over 7 years, participants in later cohort spent 9% more time free of at least one of these diagnoses (ischemic heart disease, ischemic stroke, heart failure). Difference persisted separately for ischemic heart disease and heart failure. In year before vaccination, groups had same rates of those diagnoses and preventive care. Calendar period check: tetanus-diphtheria-pertussis vaccine recipients showed similar time free of CV diagnosis. Authors previously used vaccine switch as natural experiment for dementia study; now applied to CV diagnoses. Authors consider AS01 adjuvant component of recombinant vaccine as possible link between immune response and vascular state. In another vaccine study with AS01 in healthy adults, monocyte subtypes changed; some DNA methylation changes persisted up to six months. Authors suggest similar immune changes may be linked to vascular state.
We need to bold key numbers: maybe 7 years, 9%, 36,460, 98.6%, 93.5%, AS01, etc. But limit to 4-5 total bolded items. Choose most important: 7 years, 9%, 36,460, 98.6%, 93.5%? That's 5. Could also bold AS01 but that would be 6. So maybe bold: 7 years, 9%, 36,460, 98.6%, 93.5%. That's 5.
We must not bold whole sentences. So embed bold within sentences.
Citation: Nature Medicine, August 26 (maybe include year if known but not given). We'll just put Nature Medicine, August 26.
Now format: Headline line, blank line, then paragraphs.
Paragraph 1: summary of study and cohorts.
Paragraph 2: results (9% more time free, etc.)
Paragraph 3: details about cohorts matching, baseline similarity, calendar period check.
Paragraph 4: link to previous dementia work, AS01 adjuvant, monocyte changes.
Make sure each paragraph 2-3 sentences.
Let's craft.
Headline: "Recombinant shingles vaccine linked to longer cardiovascular disease‑free period in older adults"
Count characters: Let's count: "Recombinant shingles vaccine linked to longer cardiovascular disease‑free period in older adults". Count: R(1) e2 c3 o4 m5 b6 i7 n8 a9 n10 t11 (space12) s13 h14 i15 n16 g17 l18 e19 s20 (space21) v22 a23 c24 c25 i26 n27 e28 (space29) l30 i31 n32 k33 e34 d35 (space36) t37 o38 (space39) l40 o41 n42 g43 e44 r45 (space46) c47 a48 r49 d50 i51 o52 v53 a54 s55 c56 u57 l58 a59 r60 (space61) d62 i63 s64 e65 a66 s67 e‑ (maybe hyphen counts as char) f68 r69 e70 e71 (space72) p73 e74 r75 i76 o77 d78 (space79) i80 n81 (space82) o83 l84 d85 e86 r87 (space88) a89 d90 u91 l92 t93 s94 (space95) a96 d97 l98 t99. That's 99 characters, exceeds 90. Need under 90.…
🔗 Read original →
Nature
Recombinant shingles vaccination and the risk of cardiovascular events
Nature Medicine - A natural experiment comparing recipients of the live attenuated versus recombinant herpes zoster vaccines found that the recombinant vaccine was associated with a lower incidence...
Extropianism: The Philosophical Roots of Modern Transhumanism
Extropianism became the practical and philosophical foundation from which modern transhumanism grew in the late 20th century. The term extropy, coined by philosopher Max More in 1988, was conceived as a metaphorical opposite of entropy — a measure of intellect, functional order, vital energy, and a system’s drive for continual improvement.
While classical physics predicts the inevitable decline of systems, extropianism proposes a reverse process: the constant increase of complex order in the human organism and mind through science. This movement transformed abstract dreams of immortality into a concrete technological vector focused on cryonics, nanotechnology, mind uploading, and exponential growth of computing power.
The organizational center of the philosophy was the Institute of Extropy (ExI), founded by Max More and Tom Bell, together with the journal Extropy: The Journal of Transhumanist Thought, which created the first cohesive network of futurists.
In the 1990s, heated debates took place via the institute’s mailing list, involving key figures of the forthcoming technological revolution: nanotech advocate Eric Drexler, B‑money creator Wei Dai, Bitcoin developer Hal Finney, WikiLeaks founder Julian Assange, and philosopher Nick Bostrom.
By 2006, ExI’s board announced its closure with the statement
🔗 Source: @solid_state_humanity
Extropianism became the practical and philosophical foundation from which modern transhumanism grew in the late 20th century. The term extropy, coined by philosopher Max More in 1988, was conceived as a metaphorical opposite of entropy — a measure of intellect, functional order, vital energy, and a system’s drive for continual improvement.
While classical physics predicts the inevitable decline of systems, extropianism proposes a reverse process: the constant increase of complex order in the human organism and mind through science. This movement transformed abstract dreams of immortality into a concrete technological vector focused on cryonics, nanotechnology, mind uploading, and exponential growth of computing power.
The organizational center of the philosophy was the Institute of Extropy (ExI), founded by Max More and Tom Bell, together with the journal Extropy: The Journal of Transhumanist Thought, which created the first cohesive network of futurists.
In the 1990s, heated debates took place via the institute’s mailing list, involving key figures of the forthcoming technological revolution: nanotech advocate Eric Drexler, B‑money creator Wei Dai, Bitcoin developer Hal Finney, WikiLeaks founder Julian Assange, and philosopher Nick Bostrom.
By 2006, ExI’s board announced its closure with the statement
🔗 Source: @solid_state_humanity
Telegram
Solid State Humanity
Экстропианство стало тем самым практическим и философским фундаментом, из которого в конце XX века вырос современный трансгуманизм
Термин "экстропия", введенный философом Максом Мором в 1988 году, был задуман как метафорическая противоположность энтропии…
Термин "экстропия", введенный философом Максом Мором в 1988 году, был задуман как метафорическая противоположность энтропии…
We need to translate Russian text into English, format per rules.
First line: short headline under 90 chars, no markdown, no '#'.
Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines.
Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks. At most 4-5 per post.
Wrap study/journal citations and publication references in single underscores (e.g., Nature Aging, July 2026).
We need to preserve all facts, numbers, names, citations exactly. No added commentary.
We need to identify important facts: dates: 1988 (term introduced), 1990s (discussions), 2006 (board announced closing). Also maybe names: Max More, Tom Bell, Institute of Extropy (ExI), journal Extropy: The Journal of Transhumanist Thought, Eric Drexler, Wei Dai, Hal Finney, Julian Assange, Nick Bostrom. Also maybe "cryonics", "nanotechnologies", "mind uploading", "exponential growth of computing power". But we need to limit double asterisks to at most 4-5. Choose the most important: 1988, 2006, maybe Max More, Institute of Extropy (ExI), journal Extropy: The Journal of Transhumanist Thought. But those are names not numbers; still can be wrapped? The rule says "key numbers, percentages, drug/company/gene names, dates". So we can wrap dates and maybe company names? It says drug/company/gene names. So we can wrap company/institute names? Possibly yes as they are organization names. But better to stick to dates and maybe the term "ExI". However we need at most 4-5 double asterisks. Let's pick: 1988, 2006, Max More, Institute of Extropy (ExI), Extropy: The Journal of Transhumanist Thought. That's 5.
But we also need to wrap study/journal citations in single underscores. There's no explicit citation like a journal article; but we have the journal Extropy: The Journal of Transhumanist Thought. That is a publication reference; we could wrap it in single underscores as per rule: Extropy: The Journal of Transhumanist Thought. However we already used double asterisks for that name; we cannot double wrap? The rule says wrap study/journal citations and publication references in single underscores. So we should use single underscores for that journal name, not double asterisks. So we need to decide: we have limited double asterisks for key numbers etc. For journal citation we use single underscores. So we could double asterisk the dates and maybe Max More and Institute of Extropy (ExI). Then single underscore the journal name.
Let's choose double asterisks: 1988, 2006, Max More, Institute of Extropy (ExI). That's 4.
Single underscore: Extropy: The Journal of Transhumanist Thought.
Now we need to ensure we preserve all facts. Let's translate the Russian paragraph into English, then split into short paragraphs (2-3 sentences each). We'll need to embed the formatting.
Let's draft translation:
"Extropianism became the practical and philosophical foundation from which modern transhumanism grew in the late 20th century. The term 'extropy', coined by philosopher Max More in 1988, was intended as a metaphorical opposite of entropy—a measure of intelligence, functional order, vital energy, and a system's drive toward continual improvement. While classical physics speaks of the inevitable decline of systems, extropianism proposed the reverse process: a constant increase in the complex order of the human organism and mind through science."
That's maybe 3 sentences. Good.…
🔗 Source: @solid_state_humanity
First line: short headline under 90 chars, no markdown, no '#'.
Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines.
Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks. At most 4-5 per post.
Wrap study/journal citations and publication references in single underscores (e.g., Nature Aging, July 2026).
We need to preserve all facts, numbers, names, citations exactly. No added commentary.
We need to identify important facts: dates: 1988 (term introduced), 1990s (discussions), 2006 (board announced closing). Also maybe names: Max More, Tom Bell, Institute of Extropy (ExI), journal Extropy: The Journal of Transhumanist Thought, Eric Drexler, Wei Dai, Hal Finney, Julian Assange, Nick Bostrom. Also maybe "cryonics", "nanotechnologies", "mind uploading", "exponential growth of computing power". But we need to limit double asterisks to at most 4-5. Choose the most important: 1988, 2006, maybe Max More, Institute of Extropy (ExI), journal Extropy: The Journal of Transhumanist Thought. But those are names not numbers; still can be wrapped? The rule says "key numbers, percentages, drug/company/gene names, dates". So we can wrap dates and maybe company names? It says drug/company/gene names. So we can wrap company/institute names? Possibly yes as they are organization names. But better to stick to dates and maybe the term "ExI". However we need at most 4-5 double asterisks. Let's pick: 1988, 2006, Max More, Institute of Extropy (ExI), Extropy: The Journal of Transhumanist Thought. That's 5.
But we also need to wrap study/journal citations in single underscores. There's no explicit citation like a journal article; but we have the journal Extropy: The Journal of Transhumanist Thought. That is a publication reference; we could wrap it in single underscores as per rule: Extropy: The Journal of Transhumanist Thought. However we already used double asterisks for that name; we cannot double wrap? The rule says wrap study/journal citations and publication references in single underscores. So we should use single underscores for that journal name, not double asterisks. So we need to decide: we have limited double asterisks for key numbers etc. For journal citation we use single underscores. So we could double asterisk the dates and maybe Max More and Institute of Extropy (ExI). Then single underscore the journal name.
Let's choose double asterisks: 1988, 2006, Max More, Institute of Extropy (ExI). That's 4.
Single underscore: Extropy: The Journal of Transhumanist Thought.
Now we need to ensure we preserve all facts. Let's translate the Russian paragraph into English, then split into short paragraphs (2-3 sentences each). We'll need to embed the formatting.
Let's draft translation:
"Extropianism became the practical and philosophical foundation from which modern transhumanism grew in the late 20th century. The term 'extropy', coined by philosopher Max More in 1988, was intended as a metaphorical opposite of entropy—a measure of intelligence, functional order, vital energy, and a system's drive toward continual improvement. While classical physics speaks of the inevitable decline of systems, extropianism proposed the reverse process: a constant increase in the complex order of the human organism and mind through science."
That's maybe 3 sentences. Good.…
🔗 Source: @solid_state_humanity
Telegram
Solid State Humanity
Экстропианство стало тем самым практическим и философским фундаментом, из которого в конце XX века вырос современный трансгуманизм
Термин "экстропия", введенный философом Максом Мором в 1988 году, был задуман как метафорическая противоположность энтропии…
Термин "экстропия", введенный философом Максом Мором в 1988 году, был задуман как метафорическая противоположность энтропии…
We need to translate Russian news post into English, format per rules.
First line: short headline under 90 chars, no markdown, no '#'.
Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines.
Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks . At most 4-5 per post, never a whole sentence.
Wrap study/journal citations and publication references in single underscores _ (e.g., Nature Aging, July 2026). There's no citation in the text, but maybe we can add none.
We must preserve all facts, numbers, names, citations exactly. No added commentary.
Let's extract facts:
- LatchBio presented BioSecBench-Function on August 27.
- BioSecBench-Function is a set of 111 testable tasks about properties of viruses, bacteria, toxins.
- Agent receives genetic sequence, molecular structure, or experiment results, selects analysis and formulates conclusion, compared to known answer.
- Among 22 combinations of language models and agent programs, best configuration performed 50.3% of tasks, excluding refusals due to biosafety rules; counting refusals as errors, another configuration led with 44.1%.
- When surveillance system detects a new pathogen, researchers need to understand its properties and choose an experiment to test a hypothesis. Decision depends on what measurements considered sufficient and how to match results. BioSecBench-Function moves this work into testable tasks.
- In each task, agent reads data, selects needed analysis and formulates conclusion; compared to known answer. Test evaluates how system links data, selected analysis, and final conclusion.
- Two numbers answer different questions. 50.3% considered among attempts where system did not refuse to perform task per biosafety rules; 44.1% obtained when such refusals counted as errors.
- Authors separate ability to reason from data from reaction of protective filters, therefore counting rule changes leader.
- Answer trajectories show what hides behind percentages. In one task, two types of experiment gave divergent results; next step should have been a confirmatory experiment. Almost no agent suggested it.
- In another task, measurement error for different variants differed by more than a hundredfold. Agents with a single numeric threshold took noise for drug resistance.
- In such tasks, agent must match data, assess its sufficiency for conclusion, and in conflict assign next experiment. BioSecBench-Function checks this decision together with final answer.
We need to wrap key numbers, percentages, drug/company/gene names, dates in double asterisks. At most 4-5 per post.
Key numbers/dates: August 27 (date), 111 tasks, 22 combinations, 50.3%, 44.1%, two types of experiment, measurement error > hundredfold.
We need to be selective: maybe 4-5 double asterisks.
Potential double asterisks: August 27, 111, 22, 50.3%, 44.1%, hundredfold. That's 6. Need at most 5. Could combine some.
We could do: August 27, 111 tasks, 22 combinations, 50.3%, 44.1%. That's 5. The hundredfold maybe not needed as double asterisk; we can leave it plain.
Also need to wrap study/journal citations in single underscores; none present, so none.
Now format: headline line, blank line, then paragraphs.…
🔗 Read original →
First line: short headline under 90 chars, no markdown, no '#'.
Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines.
Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks . At most 4-5 per post, never a whole sentence.
Wrap study/journal citations and publication references in single underscores _ (e.g., Nature Aging, July 2026). There's no citation in the text, but maybe we can add none.
We must preserve all facts, numbers, names, citations exactly. No added commentary.
Let's extract facts:
- LatchBio presented BioSecBench-Function on August 27.
- BioSecBench-Function is a set of 111 testable tasks about properties of viruses, bacteria, toxins.
- Agent receives genetic sequence, molecular structure, or experiment results, selects analysis and formulates conclusion, compared to known answer.
- Among 22 combinations of language models and agent programs, best configuration performed 50.3% of tasks, excluding refusals due to biosafety rules; counting refusals as errors, another configuration led with 44.1%.
- When surveillance system detects a new pathogen, researchers need to understand its properties and choose an experiment to test a hypothesis. Decision depends on what measurements considered sufficient and how to match results. BioSecBench-Function moves this work into testable tasks.
- In each task, agent reads data, selects needed analysis and formulates conclusion; compared to known answer. Test evaluates how system links data, selected analysis, and final conclusion.
- Two numbers answer different questions. 50.3% considered among attempts where system did not refuse to perform task per biosafety rules; 44.1% obtained when such refusals counted as errors.
- Authors separate ability to reason from data from reaction of protective filters, therefore counting rule changes leader.
- Answer trajectories show what hides behind percentages. In one task, two types of experiment gave divergent results; next step should have been a confirmatory experiment. Almost no agent suggested it.
- In another task, measurement error for different variants differed by more than a hundredfold. Agents with a single numeric threshold took noise for drug resistance.
- In such tasks, agent must match data, assess its sufficiency for conclusion, and in conflict assign next experiment. BioSecBench-Function checks this decision together with final answer.
We need to wrap key numbers, percentages, drug/company/gene names, dates in double asterisks. At most 4-5 per post.
Key numbers/dates: August 27 (date), 111 tasks, 22 combinations, 50.3%, 44.1%, two types of experiment, measurement error > hundredfold.
We need to be selective: maybe 4-5 double asterisks.
Potential double asterisks: August 27, 111, 22, 50.3%, 44.1%, hundredfold. That's 6. Need at most 5. Could combine some.
We could do: August 27, 111 tasks, 22 combinations, 50.3%, 44.1%. That's 5. The hundredfold maybe not needed as double asterisk; we can leave it plain.
Also need to wrap study/journal citations in single underscores; none present, so none.
Now format: headline line, blank line, then paragraphs.…
🔗 Read original →
blog.latch.bio
We Can Detect New Pathogens in Days. Can AI Help Us Understand Them?
Benchmarking AI agents on pathogen functional characterization.
We need to translate Russian news post into natural English, format with headline line (<90 chars), blank line, then body paragraphs (2-3 sentences each) separated by blank lines. Wrap few genuinely important facts (key numbers, percentages, drug/company/gene names, dates) in double asterisks. At most 4-5 per post. Wrap study/journal citations and publication references in single underscores.
We need to preserve all facts, numbers, names, citations exactly. No added commentary. No source link.
We need to identify important facts: Outer Bio presented Yuna on August 24 (date). Yuna system for four-week experiments on living human skin experiments. 8-millimeter full-thickness biopsy. 3D-printed porous insert. Study 2020 other model preserved integrity up to nine days. Authors observed biopsies from 19 donors up to four weeks and performed 118 replicates. Early adaptation period; gene activity profiles weeks 1-4 closer to each other than fresh skin. Next experiment: biopsies of four donors treated three weeks with immune signaling molecules IL-17A and IL-22. Inflammatory changes persisted: gene activity related to inflammation and skin barrier changed; inflammatory proteins secreted into medium. Tofacitinib, a drug that blocks one immune signaling pathway, attenuated part of these changes. Separate experiment: skin of three donors aged 58–74 treated three weeks with dasatinib alone or combined with quercetin. At end, authors registered reduced levels of IL-6 and MMP1. Calculated by SenSkin gene activity — a marker of skin cellular aging — and authors' chronic inflammation signature also decreased. Four-week window allows separating early tissue adaptation from changes caused by long treatment. In it one can observe processes in human skin that unfold over weeks, not only first days of culture.
We need to wrap key numbers, percentages, drug/company/gene names, dates in double asterisks. At most 4-5 per post. So we need to select maybe 4-5 important facts: date August 24, 8‑millimeter biopsy, 19 donors, 118 replicates, four‑week window, maybe IL-17A/IL-22, tofacitinib, dasatinib+quercetin, SenSkin, etc. But we must limit to 4-5 double asterisks total. So we need to be selective: maybe highlight date, 8‑mm biopsy, 19 donors, 118 replicates, four‑week window. Or maybe include drug names as important facts? The instruction: "Wrap the few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks. Be selective: at most 4-5 per post, never a whole sentence." So we can include drug names as important facts. But we need to limit total double asterisk occurrences to 4-5. Let's decide to include: August 24, 8‑millimeter, 19 donors, 118 replicates, four‑week. That's 5. Good.
We must not double asterisk other numbers like 58–74 years, IL-6, MMP1, etc. So we will leave those plain.
Now citations: we have a 2020 study (other model). We need to wrap study/journal citations and publication references in single underscores. The text mentions "В исследовании 2020 года другая модель человеческих кожных эксплантатов сохраняла целостность ткани до девяти дней в описанных авторами условиях." No journal name given. So we can just put 2020 study? But we need to preserve citation exactly; we don't have a journal name. Could use 2020 study as placeholder. However instruction: "Wrap study/journal citations and publication references in single underscores (e.g. Nature Aging, July 2026)." So we need to wrap whatever citation appears. Since there is no explicit journal, we can wrap the phrase "2020 study" in underscores. Or maybe "В исследовании 2020 года" -> we can wrap "2020 study". Let's do 2020 study.…
🔗 Read original →
We need to preserve all facts, numbers, names, citations exactly. No added commentary. No source link.
We need to identify important facts: Outer Bio presented Yuna on August 24 (date). Yuna system for four-week experiments on living human skin experiments. 8-millimeter full-thickness biopsy. 3D-printed porous insert. Study 2020 other model preserved integrity up to nine days. Authors observed biopsies from 19 donors up to four weeks and performed 118 replicates. Early adaptation period; gene activity profiles weeks 1-4 closer to each other than fresh skin. Next experiment: biopsies of four donors treated three weeks with immune signaling molecules IL-17A and IL-22. Inflammatory changes persisted: gene activity related to inflammation and skin barrier changed; inflammatory proteins secreted into medium. Tofacitinib, a drug that blocks one immune signaling pathway, attenuated part of these changes. Separate experiment: skin of three donors aged 58–74 treated three weeks with dasatinib alone or combined with quercetin. At end, authors registered reduced levels of IL-6 and MMP1. Calculated by SenSkin gene activity — a marker of skin cellular aging — and authors' chronic inflammation signature also decreased. Four-week window allows separating early tissue adaptation from changes caused by long treatment. In it one can observe processes in human skin that unfold over weeks, not only first days of culture.
We need to wrap key numbers, percentages, drug/company/gene names, dates in double asterisks. At most 4-5 per post. So we need to select maybe 4-5 important facts: date August 24, 8‑millimeter biopsy, 19 donors, 118 replicates, four‑week window, maybe IL-17A/IL-22, tofacitinib, dasatinib+quercetin, SenSkin, etc. But we must limit to 4-5 double asterisks total. So we need to be selective: maybe highlight date, 8‑mm biopsy, 19 donors, 118 replicates, four‑week window. Or maybe include drug names as important facts? The instruction: "Wrap the few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks. Be selective: at most 4-5 per post, never a whole sentence." So we can include drug names as important facts. But we need to limit total double asterisk occurrences to 4-5. Let's decide to include: August 24, 8‑millimeter, 19 donors, 118 replicates, four‑week. That's 5. Good.
We must not double asterisk other numbers like 58–74 years, IL-6, MMP1, etc. So we will leave those plain.
Now citations: we have a 2020 study (other model). We need to wrap study/journal citations and publication references in single underscores. The text mentions "В исследовании 2020 года другая модель человеческих кожных эксплантатов сохраняла целостность ткани до девяти дней в описанных авторами условиях." No journal name given. So we can just put 2020 study? But we need to preserve citation exactly; we don't have a journal name. Could use 2020 study as placeholder. However instruction: "Wrap study/journal citations and publication references in single underscores (e.g. Nature Aging, July 2026)." So we need to wrap whatever citation appears. Since there is no explicit journal, we can wrap the phrase "2020 study" in underscores. Or maybe "В исследовании 2020 года" -> we can wrap "2020 study". Let's do 2020 study.…
🔗 Read original →
FDA increasingly relies on single studies for drug approvals
In 2024, the US FDA approved 69.4% of new drugs based on the results of a single study. An article published August 26 examined all FDA approvals from 2016 to 2024 and the 6,763 related studies. Over that period, the average number of studies supporting each approval fell from 3.41 to 1.39.
The authors extracted from FDA packages the studies the agency directly relied on and those cited in the decision rationale. In February, FDA guidance proposed treating one pivotal study as the usual basis for approval. In the authors’ data, a single study became the most common approval basis already in 2017; in 2024, only 5.6% of approved drugs relied on three or more studies.
The historical preference for two studies is tied to reproducibility: “Requiring at least two studies for approval reflects the core scientific principle of reproducibility.” The evidentiary package also includes trial design details—what treatment was compared to, how participants were allocated, and
🔗 Read original →
In 2024, the US FDA approved 69.4% of new drugs based on the results of a single study. An article published August 26 examined all FDA approvals from 2016 to 2024 and the 6,763 related studies. Over that period, the average number of studies supporting each approval fell from 3.41 to 1.39.
The authors extracted from FDA packages the studies the agency directly relied on and those cited in the decision rationale. In February, FDA guidance proposed treating one pivotal study as the usual basis for approval. In the authors’ data, a single study became the most common approval basis already in 2017; in 2024, only 5.6% of approved drugs relied on three or more studies.
The historical preference for two studies is tied to reproducibility: “Requiring at least two studies for approval reflects the core scientific principle of reproducibility.” The evidentiary package also includes trial design details—what treatment was compared to, how participants were allocated, and
🔗 Read original →
PubMed Central (PMC)
Analysis of Supportive Evidence for US Food and Drug Administration Approvals of Novel Drugs in 2020
What were the key design characteristics of the pivotal trials supporting novel drugs approved by the US Food and Drug Administration (FDA) in 2020? This cohort study of 49 drugs approved by the FDA in 2020 found that they were supported by 75 ...
We need to translate Russian news post into natural English, format per rules.
First line: short headline under 90 chars? Actually under 90 characters. No markdown, no '#'.
Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines.
Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks . At most 4-5 per post, never a whole sentence.
Wrap study/journal citations and publication references in single underscores _ (e.g., Nature Aging, July 2026).
We have a preprint by Zongmin Lu dated August 26. So date is August 26 (year unspecified). We'll put date in double asterisks? It's a key fact. Also numbers: average correlation 0.555, 0.681, ceilings 0.745, 0.825, consistency 0.897, 70–90%, 63%, 18%, accuracy rose from 0.175 to 0.235, etc. Need to select at most 4-5 double-asterisk facts. Choose the most important: date, average correlations, ceilings, consistency, maybe the improvement in accuracy. That's 5.
We must not wrap whole sentences, only the facts inside double asterisks. So embed them within sentences.
Also need to wrap study/journal citations in single underscores. There's no explicit journal citation; it's a preprint. Could treat the preprint as a citation? Probably not needed. But we could wrap the preprint reference: Preprint by Zongmin Lu, August 26? However rule says wrap study/journal citations and publication references in single underscores. Since it's a preprint, we can treat as a publication reference: Preprint, August 26. We'll do that.
We need to ensure we don't exceed 4-5 double asterisks. Let's pick:
- August 26 (date)
- 0.555 and 0.681 (two numbers) maybe combine? But each number counts as a fact. Could combine as "average correlations of 0.555 and 0.681". That's two double asterisks.
- 0.745 and 0.825 (ceilings) two more.
- 0.897 (consistency) one more.
- 70–90% (percentage) one more.
- 63% and 18% maybe two more but that would exceed.
We need at most 4-5 total. Let's aim for 5 double asterisks.
Pick: date, average correlations (maybe combine as one fact? but two numbers). Could treat the pair as one fact? Might be risky. Better to select: date, average correlation 0.555, ceiling 0.745, consistency 0.897, improvement in accuracy from 0.175 to 0.235 (two numbers though). Hmm.
We could embed multiple numbers within same double asterisks? Eg 0.555–0.681 as a range counts as one fact. Similarly 0.745–0.825 as another. Then we have date, those two ranges, consistency, maybe accuracy improvement. That's 5.
Let's do:
- August 26
- 0.555–0.681 (average correlations)
- 0.745–0.825 (ceilings)
- 0.897 (consistency)
- 0.175 → 0.235 (accuracy improvement)
That's 5 double asterisks.
Now we need to wrap study/journal citation in single underscores. We'll do Preprint, August 26 maybe but date already used. Could do Preprint by Zongmin Lu . We'll put that somewhere.
Now produce headline under 90 chars. Something like: "Study Sets Precision Limit for Single‑Score Protein Variant Models". Count characters: Let's count: "Study Sets Precision Limit for Single‑Score Protein Variant Models". That's about 61. Good.
Now body paragraphs, each 2-3 sentences.
We need to preserve facts.
Let's craft paragraphs.
Paragraph 1: Introduce preprint, its aim, limit depends on agreement between experiments. Mention that one amino acid substitution can show differently across assays; one measures activity, another measures abundance. Model with single score still ranks variants similarly; lab picks top hits.…
🔗 Read original →
First line: short headline under 90 chars? Actually under 90 characters. No markdown, no '#'.
Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines.
Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks . At most 4-5 per post, never a whole sentence.
Wrap study/journal citations and publication references in single underscores _ (e.g., Nature Aging, July 2026).
We have a preprint by Zongmin Lu dated August 26. So date is August 26 (year unspecified). We'll put date in double asterisks? It's a key fact. Also numbers: average correlation 0.555, 0.681, ceilings 0.745, 0.825, consistency 0.897, 70–90%, 63%, 18%, accuracy rose from 0.175 to 0.235, etc. Need to select at most 4-5 double-asterisk facts. Choose the most important: date, average correlations, ceilings, consistency, maybe the improvement in accuracy. That's 5.
We must not wrap whole sentences, only the facts inside double asterisks. So embed them within sentences.
Also need to wrap study/journal citations in single underscores. There's no explicit journal citation; it's a preprint. Could treat the preprint as a citation? Probably not needed. But we could wrap the preprint reference: Preprint by Zongmin Lu, August 26? However rule says wrap study/journal citations and publication references in single underscores. Since it's a preprint, we can treat as a publication reference: Preprint, August 26. We'll do that.
We need to ensure we don't exceed 4-5 double asterisks. Let's pick:
- August 26 (date)
- 0.555 and 0.681 (two numbers) maybe combine? But each number counts as a fact. Could combine as "average correlations of 0.555 and 0.681". That's two double asterisks.
- 0.745 and 0.825 (ceilings) two more.
- 0.897 (consistency) one more.
- 70–90% (percentage) one more.
- 63% and 18% maybe two more but that would exceed.
We need at most 4-5 total. Let's aim for 5 double asterisks.
Pick: date, average correlations (maybe combine as one fact? but two numbers). Could treat the pair as one fact? Might be risky. Better to select: date, average correlation 0.555, ceiling 0.745, consistency 0.897, improvement in accuracy from 0.175 to 0.235 (two numbers though). Hmm.
We could embed multiple numbers within same double asterisks? Eg 0.555–0.681 as a range counts as one fact. Similarly 0.745–0.825 as another. Then we have date, those two ranges, consistency, maybe accuracy improvement. That's 5.
Let's do:
- August 26
- 0.555–0.681 (average correlations)
- 0.745–0.825 (ceilings)
- 0.897 (consistency)
- 0.175 → 0.235 (accuracy improvement)
That's 5 double asterisks.
Now we need to wrap study/journal citation in single underscores. We'll do Preprint, August 26 maybe but date already used. Could do Preprint by Zongmin Lu . We'll put that somewhere.
Now produce headline under 90 chars. Something like: "Study Sets Precision Limit for Single‑Score Protein Variant Models". Count characters: Let's count: "Study Sets Precision Limit for Single‑Score Protein Variant Models". That's about 61. Good.
Now body paragraphs, each 2-3 sentences.
We need to preserve facts.
Let's craft paragraphs.
Paragraph 1: Introduce preprint, its aim, limit depends on agreement between experiments. Mention that one amino acid substitution can show differently across assays; one measures activity, another measures abundance. Model with single score still ranks variants similarly; lab picks top hits.…
🔗 Read original →
Did DARPA Develop Injectable Mind‑Control Tech? Spoiler: No
The N3 (Next‑Generation Nonsurgical Neurotechnology) program was launched in 2018 with the goal of creating a non‑ or minimally invasive neurointerface capable of reading and writing neural signals in under 50 ms, providing at least 10 degrees of freedom, and achieving 95 % of the fidelity of implanted electrodes. The effort was divided into external helmets (TA1) and minimally invasive delivery routes (TA2) such as injections, swallowing, or nasal administration.
The most ambitious TA2 track was BrainSTORMS from Battelle, funded with $12.9 million by DoD, which proposed injecting magnetoelectric nanoparticles into the bloodstream, steering them with external magnets to target brain areas, and converting neuronal electric activity into magnetic signals for an external helmet. Rice University’s MOANA project received $13.8 million to use viral vectors to make brain cells optically readable and magnetically stimulable, reaching phase III in May 2024.
To date, the only human‑tested system is Carnegie‑Mellon’s SharpFocus, which relies on external electrodes and focused electric fields. A March 2026 study on BrainSTORMS traces concluded that reverse reading of neural activity via nanoparticles remains “predominantly theoretical,” and the Johns Hopkins Lab, end 2024 admitted that picking up signals through the scalp and skull is still
🔗 Read original →
The N3 (Next‑Generation Nonsurgical Neurotechnology) program was launched in 2018 with the goal of creating a non‑ or minimally invasive neurointerface capable of reading and writing neural signals in under 50 ms, providing at least 10 degrees of freedom, and achieving 95 % of the fidelity of implanted electrodes. The effort was divided into external helmets (TA1) and minimally invasive delivery routes (TA2) such as injections, swallowing, or nasal administration.
The most ambitious TA2 track was BrainSTORMS from Battelle, funded with $12.9 million by DoD, which proposed injecting magnetoelectric nanoparticles into the bloodstream, steering them with external magnets to target brain areas, and converting neuronal electric activity into magnetic signals for an external helmet. Rice University’s MOANA project received $13.8 million to use viral vectors to make brain cells optically readable and magnetically stimulable, reaching phase III in May 2024.
To date, the only human‑tested system is Carnegie‑Mellon’s SharpFocus, which relies on external electrodes and focused electric fields. A March 2026 study on BrainSTORMS traces concluded that reverse reading of neural activity via nanoparticles remains “predominantly theoretical,” and the Johns Hopkins Lab, end 2024 admitted that picking up signals through the scalp and skull is still
🔗 Read original →
We need to translate Russian news post into natural English, format per rules.
First line: short headline under 90 chars, no markdown, no '#'.
Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines.
Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks . At most 4-5 per post, never a whole sentence.
Wrap study/journal citations and publication references in single underscores _ (e.g., Nature Machine Intelligence, August 28, 2026? Actually article date: 28 августа в Nature Machine Intelligence вышла статья. So we need to wrap that citation: Nature Machine Intelligence, August 28, 2026? The year not given; article presumably 2024? But we just keep as given: "28 августа в Nature Machine Intelligence вышла статья". We'll wrap the journal name and date: Nature Machine Intelligence, August 28.
We need to preserve facts, numbers, names, citations exactly.
Important facts: GOLLuM method, date Aug 28, article in Nature Machine Intelligence, 23 tasks, budget 50 experiments, GOLLuM average found 36.3% of conditions in top 5% results; standard Bayesian optimization 29.7%; in Buchwald-Hartwig reactions test, proportion of top 5% conditions rose from 24% (language model without fine-tuning) to 43% after joint training with GP. Also mention that they started with ten conditions below median. Also mention they released code, data, configs.
We need to select at most 4-5 double asterisk facts. Choose: August 28, Nature Machine Intelligence, 23 tasks, 50 experiments, 36.3%, 29.7%, 24%, 43%. That's many; need limit to 4-5. We'll pick the most important: date, journal, 23 tasks, 50 experiments, 36.3% vs 29.7%, maybe also the Buchwald-Hartwig improvement 24% to 43%. That's more than 5. Let's think: we need at most 4-5 double asterisk facts. Could combine some: maybe we can embed multiple numbers in one double asterisk? The rule: wrap the few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks. Be selective: at most 4-5 per post, never a whole sentence.
Thus we need to choose up to 5 items to bold. Let's pick: August 28, Nature Machine Intelligence, 23 tasks, 50 experiments, 36.3% (maybe also mention 29.7% but that would be 6). Could we combine 36.3% and 29.7% into one double asterisk? Like "36.3% vs 29.7%"? That's still one fact (comparison). That counts as one. Then we also need Buchwald-Hartwig improvement maybe as another fact: "24% → 43%". That would be total: date, journal, 23 tasks, 50 experiments, 36.3% vs 29.7%, 24% → 43% = 6. Too many.
We could drop one: maybe we don't need to bold the date if we can put date in underscores? No, date is not a citation; it's a fact. Could we embed date inside the underscores with journal? Eg Nature Machine Intelligence, August 28 includes date, but that's underscores not double asterisk. So date can be inside underscores, not counting toward double asterisk limit. Good! So we can put the date inside the single underscores with journal citation. Then we have double asterisks for: 23 tasks, 50 experiments, 36.3% vs 29.7%, 24% → 43%. That's 4 double asterisks. Good.
Now we need to wrap study/journal citations and publication references in single underscores. So we will have Nature Machine Intelligence, August 28 (maybe include year if known but not given). We'll keep as given.
Now produce headline: short under 90 chars. Something like: "GOLLuM uses language models to pick next experiment via uncertainty". Count characters: Let's count: "GOLLuM uses language models to pick next experiment via uncertainty". That's about 61. Good.
Now body paragraphs: 2-3 sentences each.
We need to preserve all facts, numbers, names, citations exactly. No extra commentary.
Let's draft:…
🔗 Read original →
First line: short headline under 90 chars, no markdown, no '#'.
Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines.
Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks . At most 4-5 per post, never a whole sentence.
Wrap study/journal citations and publication references in single underscores _ (e.g., Nature Machine Intelligence, August 28, 2026? Actually article date: 28 августа в Nature Machine Intelligence вышла статья. So we need to wrap that citation: Nature Machine Intelligence, August 28, 2026? The year not given; article presumably 2024? But we just keep as given: "28 августа в Nature Machine Intelligence вышла статья". We'll wrap the journal name and date: Nature Machine Intelligence, August 28.
We need to preserve facts, numbers, names, citations exactly.
Important facts: GOLLuM method, date Aug 28, article in Nature Machine Intelligence, 23 tasks, budget 50 experiments, GOLLuM average found 36.3% of conditions in top 5% results; standard Bayesian optimization 29.7%; in Buchwald-Hartwig reactions test, proportion of top 5% conditions rose from 24% (language model without fine-tuning) to 43% after joint training with GP. Also mention that they started with ten conditions below median. Also mention they released code, data, configs.
We need to select at most 4-5 double asterisk facts. Choose: August 28, Nature Machine Intelligence, 23 tasks, 50 experiments, 36.3%, 29.7%, 24%, 43%. That's many; need limit to 4-5. We'll pick the most important: date, journal, 23 tasks, 50 experiments, 36.3% vs 29.7%, maybe also the Buchwald-Hartwig improvement 24% to 43%. That's more than 5. Let's think: we need at most 4-5 double asterisk facts. Could combine some: maybe we can embed multiple numbers in one double asterisk? The rule: wrap the few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks. Be selective: at most 4-5 per post, never a whole sentence.
Thus we need to choose up to 5 items to bold. Let's pick: August 28, Nature Machine Intelligence, 23 tasks, 50 experiments, 36.3% (maybe also mention 29.7% but that would be 6). Could we combine 36.3% and 29.7% into one double asterisk? Like "36.3% vs 29.7%"? That's still one fact (comparison). That counts as one. Then we also need Buchwald-Hartwig improvement maybe as another fact: "24% → 43%". That would be total: date, journal, 23 tasks, 50 experiments, 36.3% vs 29.7%, 24% → 43% = 6. Too many.
We could drop one: maybe we don't need to bold the date if we can put date in underscores? No, date is not a citation; it's a fact. Could we embed date inside the underscores with journal? Eg Nature Machine Intelligence, August 28 includes date, but that's underscores not double asterisk. So date can be inside underscores, not counting toward double asterisk limit. Good! So we can put the date inside the single underscores with journal citation. Then we have double asterisks for: 23 tasks, 50 experiments, 36.3% vs 29.7%, 24% → 43%. That's 4 double asterisks. Good.
Now we need to wrap study/journal citations and publication references in single underscores. So we will have Nature Machine Intelligence, August 28 (maybe include year if known but not given). We'll keep as given.
Now produce headline: short under 90 chars. Something like: "GOLLuM uses language models to pick next experiment via uncertainty". Count characters: Let's count: "GOLLuM uses language models to pick next experiment via uncertainty". That's about 61. Good.
Now body paragraphs: 2-3 sentences each.
We need to preserve all facts, numbers, names, citations exactly. No extra commentary.
Let's draft:…
🔗 Read original →
Intestinal ACP7 secretion extends lifespan in C. elegans
Researchers artificially boosted ACP7 production in the intestine of C. elegans and found that lifespan increased only when the enzyme was secreted from gut cells.
The median lifespan rose by 10%, and the age at which 10 % of worms survived increased by 22%; the study appeared on 27 August in Cell Reports.
Using TurboID labeling in the endoplasmic reticulum, the team performed mass spectrometry on worms aged 3, 8, and 13 days, identifying 238 extracellular or secreted proteins, of which 191 changed with age and 89 have human homologs.
Four candidate proteins were tagged with fluorescent markers and all were detected outside the intestine and in coelomocytes; ACP7 levels were shown to rise with the worms’ age.
Removing the 21‑amino‑acid signal peptide kept ACP7 inside the intestine and abolished its life‑extending effect, while the ACP7‑7A variant with seven substitutions in the metal‑binding domain retained secretion but lost phosphatase activity and failed to prolong lifespan.
Human ACP7 was secreted in cell culture and demonstrated phosphatase activity on an artificial substrate; a computational screen pointed to 28 extracellular proteins that could be dephosphorylated by worm ACP7, providing targets for future work linking the enzyme’s activity to longevity.
🔗 Read original →
Researchers artificially boosted ACP7 production in the intestine of C. elegans and found that lifespan increased only when the enzyme was secreted from gut cells.
The median lifespan rose by 10%, and the age at which 10 % of worms survived increased by 22%; the study appeared on 27 August in Cell Reports.
Using TurboID labeling in the endoplasmic reticulum, the team performed mass spectrometry on worms aged 3, 8, and 13 days, identifying 238 extracellular or secreted proteins, of which 191 changed with age and 89 have human homologs.
Four candidate proteins were tagged with fluorescent markers and all were detected outside the intestine and in coelomocytes; ACP7 levels were shown to rise with the worms’ age.
Removing the 21‑amino‑acid signal peptide kept ACP7 inside the intestine and abolished its life‑extending effect, while the ACP7‑7A variant with seven substitutions in the metal‑binding domain retained secretion but lost phosphatase activity and failed to prolong lifespan.
Human ACP7 was secreted in cell culture and demonstrated phosphatase activity on an artificial substrate; a computational screen pointed to 28 extracellular proteins that could be dephosphorylated by worm ACP7, providing targets for future work linking the enzyme’s activity to longevity.
🔗 Read original →
We need to translate Russian news post into natural English, format per rules.
First line: short headline under 90 chars, no markdown, no '#'.
Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines.
Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks . At most 4-5 per post, never a whole sentence.
Wrap study/journal citations and publication references in single underscores ....
We need to preserve facts, numbers, names, citations exactly. No added commentary.
We need to identify important facts: numbers: 27 August (date), 6,053 people, 443 centenarians with preserved cognition, 3,219 control participants, 2,391 Alzheimer's patients, 24,651 DNA variants grouped, Hap-B associated with DRB1*04, Hap-R with DRB1*01:01, Hap-Y with DRB1*15:01, Braak stage, etc.
We need to select at most 4-5 double-asterisk facts. Choose maybe: 27 August, 6,053 participants, 443 centenarians, 3,219 controls, 2,391 Alzheimer's patients? That's 5. But we need to be selective; maybe we can include date and total participants, and numbers of groups. Could also include gene names: DRB1*04, DRB1*01:01, DRB1*15:01. Those are also important facts. But we have limit 4-5 double asterisks total. We need to decide which to highlight.
Probably highlight: 27 August, 6,053 participants, 443 centenarians, DRB1*04, DRB1*01:01? But also need DRB1*15:01 maybe not.
Alternatively we could highlight numbers and gene names combined: e.g., DRB1*04, DRB1*01:01, DRB1*15:01 as three, plus date and total participants = 5.
Let's decide: double asterisk for: 27 August, 6,053 participants, DRB1*04, DRB1*01:01, DRB1*15:01. That's 5.
Now single underscores for study/journal citations and publication references. The text mentions a preprint published 27 August. No journal name given. Could be something like bioRxiv? Not given. It says "В препринте, опубликованном 27 августа". So we can wrap the preprint reference: preprint, published 27 August. But we need to keep citation exactly; we don't have journal name. Could just wrap "preprint" maybe. The rule: wrap study/journal citations and publication references in single underscores. So we can do preprint published 27 August. Or preprint, 27 August. We'll keep as preprint published 27 August.
Now we need to produce body paragraphs, each 2-3 sentences.
Let's craft translation.
First, headline: maybe "HLA-II variants linked to Alzheimer's, longevity, and microglial activity". Count characters: Let's count: "HLA-II variants linked to Alzheimer's, longevity, and microglial activity". That's about 66 characters. Good.
Now blank line.
Paragraph 1: talk about study comparing HLA-II genes among 6,053 individuals: 443 centenarians with preserved cognition, 3,219 controls, 2,391 Alzheimer's patients. Mention date.
We need to include double asterisks for numbers and date.
Paragraph 2: talk about grouping 24,651 DNA variants into seven sets, three overlapping previous signals.
Paragraph 3: explain HLA-II function, variability, inheritance.
Paragraph 4: talk about Hap-B associated with DRB1*04, more common in controls and centenarians, linked to lower Braak tau stage, persists after accounting for amyloid.
Paragraph 5: Hap-R associated with DRB1*01:01 more frequent in patients, less in centenarians and controls.
Paragraph 6: Hap-Y associated with DRB1*15:01 linked to greater HLA-II staining area in microglia, reflecting microglial immune state; tau pathology assessed by another scale.
We need to ensure each paragraph 2-3 sentences.
Now incorporate double asterisks: we already decided which to bold.
We need to embed them in text.
Let's list:
- 27 August
- 6,053 participants
- DRB1*04
- DRB1*01:01
- DRB1*15:01…
🔗 Read original →
First line: short headline under 90 chars, no markdown, no '#'.
Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines.
Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks . At most 4-5 per post, never a whole sentence.
Wrap study/journal citations and publication references in single underscores ....
We need to preserve facts, numbers, names, citations exactly. No added commentary.
We need to identify important facts: numbers: 27 August (date), 6,053 people, 443 centenarians with preserved cognition, 3,219 control participants, 2,391 Alzheimer's patients, 24,651 DNA variants grouped, Hap-B associated with DRB1*04, Hap-R with DRB1*01:01, Hap-Y with DRB1*15:01, Braak stage, etc.
We need to select at most 4-5 double-asterisk facts. Choose maybe: 27 August, 6,053 participants, 443 centenarians, 3,219 controls, 2,391 Alzheimer's patients? That's 5. But we need to be selective; maybe we can include date and total participants, and numbers of groups. Could also include gene names: DRB1*04, DRB1*01:01, DRB1*15:01. Those are also important facts. But we have limit 4-5 double asterisks total. We need to decide which to highlight.
Probably highlight: 27 August, 6,053 participants, 443 centenarians, DRB1*04, DRB1*01:01? But also need DRB1*15:01 maybe not.
Alternatively we could highlight numbers and gene names combined: e.g., DRB1*04, DRB1*01:01, DRB1*15:01 as three, plus date and total participants = 5.
Let's decide: double asterisk for: 27 August, 6,053 participants, DRB1*04, DRB1*01:01, DRB1*15:01. That's 5.
Now single underscores for study/journal citations and publication references. The text mentions a preprint published 27 August. No journal name given. Could be something like bioRxiv? Not given. It says "В препринте, опубликованном 27 августа". So we can wrap the preprint reference: preprint, published 27 August. But we need to keep citation exactly; we don't have journal name. Could just wrap "preprint" maybe. The rule: wrap study/journal citations and publication references in single underscores. So we can do preprint published 27 August. Or preprint, 27 August. We'll keep as preprint published 27 August.
Now we need to produce body paragraphs, each 2-3 sentences.
Let's craft translation.
First, headline: maybe "HLA-II variants linked to Alzheimer's, longevity, and microglial activity". Count characters: Let's count: "HLA-II variants linked to Alzheimer's, longevity, and microglial activity". That's about 66 characters. Good.
Now blank line.
Paragraph 1: talk about study comparing HLA-II genes among 6,053 individuals: 443 centenarians with preserved cognition, 3,219 controls, 2,391 Alzheimer's patients. Mention date.
We need to include double asterisks for numbers and date.
Paragraph 2: talk about grouping 24,651 DNA variants into seven sets, three overlapping previous signals.
Paragraph 3: explain HLA-II function, variability, inheritance.
Paragraph 4: talk about Hap-B associated with DRB1*04, more common in controls and centenarians, linked to lower Braak tau stage, persists after accounting for amyloid.
Paragraph 5: Hap-R associated with DRB1*01:01 more frequent in patients, less in centenarians and controls.
Paragraph 6: Hap-Y associated with DRB1*15:01 linked to greater HLA-II staining area in microglia, reflecting microglial immune state; tau pathology assessed by another scale.
We need to ensure each paragraph 2-3 sentences.
Now incorporate double asterisks: we already decided which to bold.
We need to embed them in text.
Let's list:
- 27 August
- 6,053 participants
- DRB1*04
- DRB1*01:01
- DRB1*15:01…
🔗 Read original →
PubMed Central (PMC)
Multiancestry analysis of the HLA locus in Alzheimer’s and Parkinson’s diseases uncovers a shared adaptive immune response mediated…
We report that specific HLA-DRB1*04 alleles are protective against Alzheimer’s dementia (AD), Parkinson’s disease (PD), and other neurodegenerative disorders. Further, we found that these HLA (Human Leukocyte Antigen) subtypes selectively bind a ...
Adaptyv Bio Links Lab Validation to Rosalind Workbench via API
Adaptyv Bio announced on 29 August that it has linked its lab validation to Rosalind Workbench OpenAI via the Adaptyv API; experimental data will flow into the next round of protein design.
On 28 August, OpenAI launched Rosalind Workbench as a workspace for biological research, where a researcher can pose a question, run analysis, and draft an experiment plan.
In an example, Workbench helped select nanobody candidates — small proteins that bind a given molecule — and plan and evaluate the cost of binding tests for five nanobodies. The new integration adds a laboratory step to this workflow. Through the Adaptyv API, the protein sequence (the amino‑acid order) is sent to the experiment; the lab can test whether the produced protein binds the target molecule and return the results via the platform or API.
Adaptyv Bio notes that the physical‑experiment data feed directly into the next design round, so the subsequent protein‑sequence choice is based on the binding‑test result.
🔗 Read original →
Adaptyv Bio announced on 29 August that it has linked its lab validation to Rosalind Workbench OpenAI via the Adaptyv API; experimental data will flow into the next round of protein design.
On 28 August, OpenAI launched Rosalind Workbench as a workspace for biological research, where a researcher can pose a question, run analysis, and draft an experiment plan.
In an example, Workbench helped select nanobody candidates — small proteins that bind a given molecule — and plan and evaluate the cost of binding tests for five nanobodies. The new integration adds a laboratory step to this workflow. Through the Adaptyv API, the protein sequence (the amino‑acid order) is sent to the experiment; the lab can test whether the produced protein binds the target molecule and return the results via the platform or API.
Adaptyv Bio notes that the physical‑experiment data feed directly into the next design round, so the subsequent protein‑sequence choice is based on the binding‑test result.
🔗 Read original →
X (formerly Twitter)
Adaptyv Bio (@adaptyvbio) on X
We're bringing experimental validation to @OpenAI's Rosalind Workbench through the Adaptyv API.
Rosalind Workbench is a new way to orchestrate complex life science research workflows across model…
Rosalind Workbench is a new way to orchestrate complex life science research workflows across model…
We need to translate Russian news post into English, format per rules.
First line: short headline under 90 chars, no markdown, no '#'.
Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines.
Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks . At most 4-5 per post, never a whole sentence.
Wrap study/journal citations and publication references in single underscores _ (e.g., Nature Aging, July 2026).
We need to preserve all facts, numbers, names, citations exactly.
Let's extract facts:
- Date: 28 августа (August 28) in Cell Reports (re-analysis of data). So date: August 28 (year not given? The article presumably 2024? Not given. We'll keep "August 28" as given.
- Data: single-cell brain data of male mice.
- After QC: 12,310 cells remained.
- Pairs of young and old mice with surgically joined circulations – heterochronic parabiosis.
- One-cell atlas of such pairs in 2022 collected by Robert Palovich with coauthors; Palovich also in current team.
- Mice of same age served as control.
- Authors identified eight microglial states.
- In six activated states, 75 genes changed similarly in at least five of them.
- Forty of these 75 genes entered the common age shift in all four brain regions.
- Common program manifested in all regions, but each had its own shifts.
- In young mice with old partners, gene activity in cerebellum and cortex changed in same direction as normal aging, albeit weaker.
- Under both influences, most changes seen in cerebellum.
- In old mice with young partners, in cerebellum 41 genes changed activity opposite to age changes; in cortex and hippocampus 25 each; in striatum three.
We need to wrap key numbers, percentages, drug/company/gene names, dates in . At most 4-5 per post.
Select maybe: 12,310 cells, August 28, 75 genes, 40 genes, 41 genes, 25 genes, three genes? That's many. Need max 4-5. Choose most important: total cells, date, number of genes commonly shifted (40), number of opposite changes in cerebellum (41), maybe number of opposite changes in cortex/hippocampus (25). That's 5.
We must not wrap whole sentences. So embed within sentences.
Citations: we have Cell Reports (journal) and the 2022 one-cell atlas by Robert Palovich et al. We need to wrap study/journal citations and publication references in single underscores _. So we should put Cell Reports and maybe 2022 one-cell atlas? The instruction: wrap study/journal citations and publication references in single underscores (e.g., Nature Aging, July 2026). So we should put the journal name in underscores. Also maybe the 2022 atlas reference? Could be considered a publication reference; we can put Robert Palovich et al., 2022 or similar. But we need to preserve exact names. The Russian text: "Одно-клеточный атлас таких пар в 2022 году собрал Роберт Палович с соавторами ; Палович вошёл и в нынешнюю команду." So we can cite as Robert Palovich et al., 2022 (or 2022 one-cell atlas by Robert Palovich et al.). We'll put the citation in underscores.
We need to ensure we don't add extra commentary.
Now format: Headline line, blank line, then paragraphs.
Paragraphs 2-3 sentences each.
Let's craft:
Headline: "Heterochronic parabiosis reshapes microglial gene activity across mouse brain regions"
Check length: count characters: "Heterochronic parabiosis reshapes microglial gene activity across mouse brain regions" Let's count: H(1) ... I'll approximate less than 90. It's fine.
Blank line.
Paragraph 1: maybe 2-3 sentences about study date, data, QC.…
🔗 Read original →
First line: short headline under 90 chars, no markdown, no '#'.
Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines.
Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks . At most 4-5 per post, never a whole sentence.
Wrap study/journal citations and publication references in single underscores _ (e.g., Nature Aging, July 2026).
We need to preserve all facts, numbers, names, citations exactly.
Let's extract facts:
- Date: 28 августа (August 28) in Cell Reports (re-analysis of data). So date: August 28 (year not given? The article presumably 2024? Not given. We'll keep "August 28" as given.
- Data: single-cell brain data of male mice.
- After QC: 12,310 cells remained.
- Pairs of young and old mice with surgically joined circulations – heterochronic parabiosis.
- One-cell atlas of such pairs in 2022 collected by Robert Palovich with coauthors; Palovich also in current team.
- Mice of same age served as control.
- Authors identified eight microglial states.
- In six activated states, 75 genes changed similarly in at least five of them.
- Forty of these 75 genes entered the common age shift in all four brain regions.
- Common program manifested in all regions, but each had its own shifts.
- In young mice with old partners, gene activity in cerebellum and cortex changed in same direction as normal aging, albeit weaker.
- Under both influences, most changes seen in cerebellum.
- In old mice with young partners, in cerebellum 41 genes changed activity opposite to age changes; in cortex and hippocampus 25 each; in striatum three.
We need to wrap key numbers, percentages, drug/company/gene names, dates in . At most 4-5 per post.
Select maybe: 12,310 cells, August 28, 75 genes, 40 genes, 41 genes, 25 genes, three genes? That's many. Need max 4-5. Choose most important: total cells, date, number of genes commonly shifted (40), number of opposite changes in cerebellum (41), maybe number of opposite changes in cortex/hippocampus (25). That's 5.
We must not wrap whole sentences. So embed within sentences.
Citations: we have Cell Reports (journal) and the 2022 one-cell atlas by Robert Palovich et al. We need to wrap study/journal citations and publication references in single underscores _. So we should put Cell Reports and maybe 2022 one-cell atlas? The instruction: wrap study/journal citations and publication references in single underscores (e.g., Nature Aging, July 2026). So we should put the journal name in underscores. Also maybe the 2022 atlas reference? Could be considered a publication reference; we can put Robert Palovich et al., 2022 or similar. But we need to preserve exact names. The Russian text: "Одно-клеточный атлас таких пар в 2022 году собрал Роберт Палович с соавторами ; Палович вошёл и в нынешнюю команду." So we can cite as Robert Palovich et al., 2022 (or 2022 one-cell atlas by Robert Palovich et al.). We'll put the citation in underscores.
We need to ensure we don't add extra commentary.
Now format: Headline line, blank line, then paragraphs.
Paragraphs 2-3 sentences each.
Let's craft:
Headline: "Heterochronic parabiosis reshapes microglial gene activity across mouse brain regions"
Check length: count characters: "Heterochronic parabiosis reshapes microglial gene activity across mouse brain regions" Let's count: H(1) ... I'll approximate less than 90. It's fine.
Blank line.
Paragraph 1: maybe 2-3 sentences about study date, data, QC.…
🔗 Read original →
PubMed Central (PMC)
Molecular hallmarks of heterochronic parabiosis at single cell resolution
Slowing or reversing biological ageing would have major implications for mitigating disease risk and maintaining vitality1. While an increasing number of interventions show promise for rejuvenation2, the effectiveness on disparate cell types across ...
TranslAGE Defends Biomarker Responsiveness Amid Critique
TranslAGE brought together 51 studies in which human participants had blood drawn before and after an intervention. In every dataset the authors uniformly calculated 16 epigenetic clocks — algorithms that estimate age‑related changes from DNA chemical marks.
On August 30 Raghav Segal, the first author of TranslAGE, replied to criticism from biogerontologist Matt Kaeberlein. Kaeberlein’s objection is whether a shift in such a marker can be used to judge the impact of a drug, diet, or exercise regimen on a person.
The authors harmonized the data from those 51 studies and applied a single panel of the 16 clocks to each dataset, making it possible to compare marker shifts across different groups, time periods, and interventions. Segal phrases the article’s core question as: “Do these biomarkers respond to interventions in the expected direction, how strongly, and how consistently?”
He describes the route to a clinically useful marker in three words: prognostic → responsive → surrogate. Prognostic ties the marker to future disease, function, or mortality; responsiveness shows its shift after an intervention; surrogacy would let that shift predict a patient‑relevant outcome. In the paper responsiveness is presented as a step toward a surrogate marker, which TranslAGE tests by examining how the clocks react to presumed anti‑aging interventions. Kaeberlein’s follow‑up question is whether that shift can be linked to the concrete outcome of a specific intervention in an individual.
🔗 Read original →
TranslAGE brought together 51 studies in which human participants had blood drawn before and after an intervention. In every dataset the authors uniformly calculated 16 epigenetic clocks — algorithms that estimate age‑related changes from DNA chemical marks.
On August 30 Raghav Segal, the first author of TranslAGE, replied to criticism from biogerontologist Matt Kaeberlein. Kaeberlein’s objection is whether a shift in such a marker can be used to judge the impact of a drug, diet, or exercise regimen on a person.
The authors harmonized the data from those 51 studies and applied a single panel of the 16 clocks to each dataset, making it possible to compare marker shifts across different groups, time periods, and interventions. Segal phrases the article’s core question as: “Do these biomarkers respond to interventions in the expected direction, how strongly, and how consistently?”
He describes the route to a clinically useful marker in three words: prognostic → responsive → surrogate. Prognostic ties the marker to future disease, function, or mortality; responsiveness shows its shift after an intervention; surrogacy would let that shift predict a patient‑relevant outcome. In the paper responsiveness is presented as a step toward a surrogate marker, which TranslAGE tests by examining how the clocks react to presumed anti‑aging interventions. Kaeberlein’s follow‑up question is whether that shift can be linked to the concrete outcome of a specific intervention in an individual.
🔗 Read original →
Nature
Responsiveness of epigenetic aging biomarkers to longevity interventions in humans
Nature Medicine - The responsiveness of 16 different epigenetic aging clocks to a broad array of pharmacological and lifestyle interventions in humans was assessed across 51 different longitudinal...