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). No citations in this text? There's mention of OMB rule, H.R. 6500, etc. No journal citations. So we may not need underscores unless we find any. There's no explicit citation like a journal. So we may not need underscores.

We need to preserve all facts, numbers, names, dates exactly.

Let's extract facts:

- House of Representatives agreed on bill with temporary block of new federal grants rule effective September 1? Actually text: "Палата представителей согласовала законопроект с временной блокировкой нового правила федеральных грантов 1 сентября Палата представителей США 370 голосами против 48 согласилась с сенатской версией H.R. 6500 ."

Interpretation: House passed bill with temporary block of new federal grants rule effective September 1? Actually "временной блокировкой нового правила федеральных грантов 1 сентября" maybe means temporary block of new rule effective September 1. Then House passed with 370-48 vote agreeing with Senate version of H.R. 6500.

- Bill directed to president; after it takes effect, its §157 will until Dec 11 prohibit issuing and finalizing May rule of US Office of Management and Budget (OMB) on federal financial assistance.

- Federal scientific grants already go through several stages of selection. At NIH, application first evaluated by scientific and technical criteria, then council checks if project aligns with institute's mission.

- On May 29 OMB proposed to change general federal grants rules. New §200.205 added mandatory pre-award review for all grants where agency itself selects recipient. Agency head had to assign one or more senior appointees to conduct it; they would check whether proposal aligns with law, agency priorities, national interests; in applicable cases grant should explicitly advance presidential priorities.

- Expert review retained as recommendations; appointees had to evaluate proposals using their own judgment. Text of proposed rule: "Senior appointees or their representatives must not mechanically approve or usually follow recommendations of others, but must exercise their own judgment when evaluating applications for federal funding."

- Mandatory review by appointees becomes separate step between expert evaluation and disbursement of funds.

- §157 specifically ties prohibition to May OMB notice and substantially similar rules. It will take effect immediately after H.R. 6500 takes effect; House already completed Senate concurrence, bill now with president.

We need to wrap key numbers, percentages, drug/company/gene names, dates in double asterisks. Key numbers: 370, 48, September 1, December 11, May 29, §157, §200.205, H.R. 6500. Possibly also "May rule". But we need at most 4-5 double asterisks. Choose most important: vote counts (370-48), dates (September 1, December 11, May 29), maybe the bill number H.R. 6500, and sections §157 and §200.205. That's many. We need to limit to 4-5. Let's pick: 370-48, September 1, December 11, May 29, H.R. 6500. Or maybe include §157 as important. But we need to be selective. Let's decide: include vote counts, dates of block (Sept 1), effective date of prohibition (Dec 11), proposal date (May 29), and bill number (H.R. 6500). That's 5.

We must not wrap whole sentences. So we wrap just those numbers/dates.…

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Grok 4.6 Scores Over 50% on Both Safety and Utility Scales in BioSecBench-Refusal Test

LatchBio, the developer of the BioSecBench-Refusal test, reported on 1 September that its evaluation of Grok 4.6 showed the model exceeding 50% on both safety and utility scales. The company said Grok 4.6 is the only model tested so far to achieve this result independently of the software wrapper used to run it.

The BioSecBench-Refusal benchmark evaluates an AI agent on two kinds of biological tasks. In 61 ordinary tasks the agent must assist with data analysis from published studies, while in 46 dangerous scenarios a harmful intent is concealed in the input or the task description. Because the same biological terminology appears in both sets, the test records two error types: missing a hidden threat and refusing legitimate research work.

In the July check of BioSecBench-Refusal most of the 16 model‑wrapper combinations refused ordinary tasks at least as often as they refused risky scenarios, with filters often cutting off work before the agent could parse the goal. The new series measures both sides of this problem specifically for Grok 4.6.

LatchBio attributes the score to Grok 4.6’s ability to match a harmless cover story with the content of an attached file and to consider the experiment’s purpose. In their examples a request to neutralize a

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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.

We need to preserve facts, numbers, names, citations exactly.

Let's extract facts:

- In Cell Reports, article published August 31 (31 августа) in Cell Reports about combined experiments with yeast, worms, flies, short-lived fish, mice.

- Authors automated counting of survivors to compare action of substances in different organisms and conditions.

- Mouse experiment with a substance that extends life in lab models, when started late, lasts from one to one and a half years.

- To choose next such experiment, need comparable results from fast models.

- In different studies dose, feed, genetic line, observation method vary; thus same candidate may get different evaluations.

- Authors built compatible systems for five models.

- In yeast, miniature viability test accounts for medium acidity: it itself can change cell survival.

- Chambers at set intervals photograph worms and flies, program recognizes death by sustained immobility.

- In killifish, short-lived fish, authors standardized drug pellets.

- In mice, interventions start at late age and together with lifespan they observe animal activity.

- Full comparison of 423 substances authors performed in three fast models: yeast, worms, flies.

- Of them 130 extended life in at least one species, 32 in two, and metformin, rifampicin, and furazolidone — in all three.

- In experiments with canagliflozin, drug extended lifespan in male mice but not females; with late start females lived less, and subsequent work linked this to about 20 times higher concentration of substance in blood.

- Next check here concerns dose, sex, diet, and mode of delivery.

- Five compatible systems help choose next long mouse experiment: they show whether result holds when changing species and conditions, and where it depends on dose, sex, diet, or mode of delivery.

We need to wrap key numbers, percentages, drug/company/gene names, dates in double asterisks. At most 4-5 per post.

We need to decide which facts to highlight: maybe date (August 31), number of substances (423), numbers 130, 32, three drugs (metformin, rifampicin, furazolidone), maybe 20 times higher concentration. That's 5 items: date, 423, 130, 32, 20 times. Or we could include drug names as important facts. But drug names also need to be highlighted? The rule says wrap key numbers, percentages, drug/company/gene names, dates. So drug names also should be wrapped. But we have limited to 4-5 double asterisks total. We need to be selective.

We could choose: date (August 31), number of substances (423), numbers (130, 32), and maybe the 20‑fold higher concentration. That's 5 double asterisks. Drug names we could leave without asterisks, but they are drug names; maybe we can include one drug name as double asterisk instead of a number? But we need at most 4-5, we could do 4: date, 423, 130, 20‑fold. Or we could do date, 423, metformin, rifampicin, furazolidone (that's 5). But we need to include numbers too. Let's think: The most important facts: date, total substances tested, number that extended life in at least one model, number that extended in two models, the three drugs that worked in all three, and the 20-fold concentration difference. That's many.…

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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. No added commentary.

We need to identify citations: The text mentions "По оценке ARPA-H, которую приводит Pharmaphorum". That's a citation: Pharmaphorum. Should we wrap that in single underscores? It's a publication reference. So Pharmaphorum.

Also maybe other citations? Not many.

We need to wrap key numbers etc in double asterisks. Let's list important facts:

- ARPA-H allocated up to $125 million.
- Date: 1 September (American agency...).
- Five groups.
- Program GIVE funds four automated manufacturing systems and separate quality check at University of Utah.
- Personal RNA therapy starts with patient-specific sequence.
- Steps: synthesize, purify, package into lipid nanoparticles, fill vials, test, release batch.
- Some individualized genetic therapies take months and cost hundreds of thousands of dollars (per Pharmaphorum).
- Release time determined by each step.
- Five awards have different technical solutions.
- In FUSE project, fluid stays inside disposable chip; system should combine manufacturing and quality check in less than three days.
- Closed chip moves part of production from sterile room to compact setup.
- Separate University of Utah system should test drug by several parameters and release batch within a day, using microfluidic droplet control, optical measurements, AI.
- Project ESCALATOR by Waterfall Scientific assembles whole chain in one installation.
- Enzymes create DNA template — molecule used to copy RNA; then system continuously synthesizes RNA, forms lipid nanoparticles, fills vials.
- Automatic verification covers substance and final product.
- In July ARPA-H launched THRIVE, program reusing parts of development of personal genetic editors for different mutations.
- GIVE continues this work after selecting RNA sequence: takes it through production to dose that passed necessary checks.

We need to wrap key numbers etc: $125 million, 1 September, five groups, four automated systems, University of Utah, less than three days, within a day, July (maybe), THRIVE launched July.

But we must be selective: at most 4-5 double asterisks per post. So we need to pick maybe 4-5 most important facts.

Potential picks:
- $125 million
- 1 September
- five groups
- less than three days
- within a day

But also need to include maybe "THRIVE launched in July". Could replace one.

We need to ensure we don't wrap whole sentence. Just wrap the fact.

We'll embed double asterisks around those numbers/phrases.

Also need to wrap study/journal citations in single underscores: Pharmaphorum.

We must not add any extra commentary.

Now format: first line headline under 90 chars. Let's craft: "ARPA-H awards up to $125 million for personalized RNA‑medicine manufacturing". Count characters: Let's count roughly: "ARPA-H awards up to $125 million for personalized RNA‑medicine manufacturing". Count: ARPA-H (6) + space (1)=7, awards (6)=13, space=14, up (2)=16, space=17, to (2)=19, space=20, $125 million (maybe 12 inc space?) Let's just trust it's under 90.

Make sure no markdown, no '#'.

Then blank line.

Then body paragraphs, each 2-3 sentences.

We need to split into short paragraphs.

Let's create maybe 4 paragraphs.…

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Rethinking Sarcopenia as a Disease of the Aging Motor System

On August 28, The Lancet Healthy Longevity published an article proposing that sarcopenia be viewed as a disease of the aging motor system. The authors argue that the loss of strength and mobility with age should be examined along the entire chain of movement, from the brain and spinal cord to the nerves, their junctions with muscle, and the muscle fibers themselves.

They note that when a person rises from a chair or

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OmicsPred catalog surpasses 3.3 million predictive models

On September 1, Nature Genetics, September 1, 2026 published a description of the OmicsPred catalog, which currently holds 3.3 million models that predict RNA, protein, and metabolite levels from DNA data. Each model is accompanied by metadata that lets researchers judge its suitability for a new study.

Models are trained on individuals who have both genotype and molecular measurements; they weigh DNA variant contributions to forecast a specific molecule’s level. The resulting formula can be applied to genotypes from another cohort or to summary statistics from genetic studies. However, a simple list of coefficients is insufficient for transfer.

To address this, OmicsPred stores the DNA variants and their weights, the genome‑build version, tissue type, training and validation sample details, participant ancestry, and prediction accuracy. This lets users compare their own data with the conditions under which a model was trained and tested.

By May 2026 the catalog contained 3,339,469 models, up from 17,227 models in the 2023 version. Most predict gene expression across 49 human tissues, with additional models for proteins and metabolites.

The authors applied the catalog to summary results from the Million Veteran Program, matching predicted RNA and protein levels in blood and plasma against 1,233 health conditions in African, admixed American, and European ancestry groups. This yielded about ~46 million comparisons; after correcting for multiple testing, >190,000 associations remained statistically significant.

For each association the catalog records the exact formula used, the training data, and the prediction accuracy, enabling other researchers to reuse the model and test the hypotheses on new datasets.

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Mouse Ovary Stiffness Map Links Gene Activity to Mechanical Properties

On 31 August a preprint appeared on bioRxiv describing how researchers measured the resistance of fresh mouse ovarian tissue to indentation and matched those measurements to a map of gene activity on an adjacent slice. They examined 21 regions and collected 2 915 pairs of measurements from eight young and 14‑month‑old mice.

Old ovaries resisted indentation about 2.5‑fold more than young ones; treatment with collagenase, an enzyme that breaks down collagen, brought the stiffness of old tissue closer to that of young tissue. These measurements were taken at many points across the whole ovary, revealing a general age‑related shift, while resistance within a single ovary could vary several‑fold.

For a follicle — the sac where an egg matures — the mechanical environment shaped by the surrounding theca cells influences growth. In 2025 researchers showed that theca cells assemble fibronectin fibers around the follicle and contract them, altering pressure and thereby changing follicle growth.

The work explains why organ‑averaged measurements can hide local biology. Authors took a fresh 100‑micrometer thick slice from each ovary, swept a spherical nanoindenter tip across it in a grid to measure stiffness, and placed a frozen parallel surface underneath for spatial transcriptomics — a map of gene activity by tissue point. Images of tissue and follicle boundaries allowed the two maps to be aligned in a common coordinate system.

After quality control, 2 915 measurement pairs remained, with each mechanical point corresponding on average to 92 gene‑activity spots. In stiffer zones, interferon‑response gene programs were more active; in softer zones, programs linked to elastic fibers prevailed. These associations differed between young and old animals.

When the ovary’s anatomical compartments were analyzed separately, the authors uncovered 1 763 statistical links between gene activity and indentation resistance, whereas averaging across the whole tissue yielded only 316 links. Future experiments could modify collagen, inflammation, or pressure and then use the two maps to see where mechanical properties and gene activity change together.

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We need to translate Russian news post into natural 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 facts, numbers, names, citations exactly. No added commentary.

We need to identify important facts to bold: numbers like 31 August, 50 thousand fragments, median correlation 0.774, best human strategy 0.763, four series of 30 rounds, etc. Also maybe "Claude Opus 4.7". Also maybe "MPRAbox". Also "CodonBox". Also "Fibonacci positions". Also "Claude raised score". Also "Claude discovered groups of four". Also maybe "14 hidden made-up rules". Also "14 closed sets". Also "31 August authors posted preprint and code". Need to be selective: at most 4-5 double asterisks. Choose the most important numbers: date (31 August), median correlation 0.774, best human 0.763, 50 thousand DNA fragments, four series of 30 rounds. That's 5. Could also include 14 hidden rules, but that would exceed. We'll stick with 5.

We need to ensure we don't bold whole sentences; just wrap the fact.

We need to wrap study/journal citations in single underscores. There's no explicit journal citation in the text; it's a preprint. Maybe we can treat "preprint" as not a journal citation. There's no citation like _Nature Aging... So maybe we don't need any underscores. But we could still include if there is a reference like "authors posted preprint". Not a journal citation. So maybe none.

We must not add source link.

Now produce headline: something like "AI Agents Test Hypotheses in 'Science Sandboxes' with DNA Experiments". Count characters: Let's count: "AI Agents Test Hypotheses in 'Science Sandboxes' with DNA Experiments". That's length? Count: AI(2)+space=3, Agents(6)=9, space=10, Test(4)=14, space=15, Hypotheses(10)=25, space=26, in(2)=28, space=29, 'Science Sandboxes' (including quotes?) Let's count: 'Science Sandboxes' length inside quotes: Science(7) + space=1 + Sandboxes(9)=17, plus two quotes =2? Actually we have single quotes around phrase: 'Science Sandboxes' => 1 quote + 17 + 1 quote =19. So add 19 => 48. space=49, with(4)=53, space=54, DNA(3)=57, space=58, Experiments(10)=68. So 68 chars, under 90. Good.

Now blank line.

Now body paragraphs.

We need to split into short paragraphs 2-3 sentences each.

Let's craft paragraphs:

Paragraph 1: Introduce preprint and concept.

Sentence 1: On 31 August the authors released a preprint and code for “science sandboxes”—test environments where an AI agent forms a hypothesis, selects an experiment, receives a hidden system’s response, and records how that response changes its explanation. Sentence 2: Instead of a single final score, the agent iteratively updates its hypothesis and chooses the next test to discriminate among possible explanations. Sentence 3: The authors assess a narrower skill: can the program, after an observation, explain the result and pick a follow‑up experiment that distinguishes competing hypotheses?

That's 3 sentences.

Paragraph 2: Describe MPRAbox.

Sentence 1: In MPRAbox the agent builds a library of 50 000 DNA fragments for a massively parallel assay that reveals how sequence influences gene activity. Sentence 2: A hidden model scores the fragments; those scores train a predictor that is then evaluated on 14 held‑out sets. Sentence 3: Performance is measured by median correlation, indicating how well predictions match the hidden scores.

Paragraph 3: Results with Claude Opus 4.7.…

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We need to translate Russian text into English, format as 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:

- Experience on human cells and mice: turning off ALDH3B2 shifted duct cells to β-like state.
- September 2 (date) in journal Science Translational Medicine article about how turning off one gene changed part of cells lining pancreatic ducts.
- After transplantation of these cells into diabetic mice, glucose level was lower than in animals with control cells.
- β-cells of pancreas secrete insulin — hormone regulating blood sugar level.
- In diabetes these cells are lacking or insufficient, so their function is attempted to be replenished by donor islets and cells grown from stem cells.
- Authors looked for another source: duct cells that pancreas uses to secrete digestive juice.
- To find gene that keeps these cells in original state, researchers performed whole-genome CRISPR screening: they turned off different genes one by one and selected cells where insulin gene activity started.
- For mass search they used PANC-1 duct cell line, which can be grown in large quantity.
- Among eight candidates ALDH3B2 gave in this line the highest insulin gene activity and lowest KRT19 gene, a marker of duct cells.
- Then ALDH3B2 was turned off in purified primary human duct cells.
- In them activity of β-cell genes increased, insulin granules appeared, and raising glucose caused secretion of human insulin.
- In two groups of five diabetic mice each, altered or control cells were transplanted under kidney's outer capsule; in animals with altered cells glucose was lower.
- On day 56 after removal of transplant it returned to control group level, and after glucose injection human insulin was detected in blood.
- Single-cell analysis, where gene activity measured in each cell separately, showed scale of transition: insulin gene worked in 18.1% of cells with ALDH3B2 knocked out and 0.6% of controls.
- About 93% of cells in both groups remained active KRT19 — marker of duct identity.
- Resulted mixed β-like population: part of cells combined duct cell and β-cell markers.
- ALDH3B2 became genetic target for further research on how cells of the organ itself can be directed to replenish lost function.

Now we need to format.

First line: short headline under 90 chars. Something like: "Turning off ALDH3B2 reprograms pancreatic duct cells toward insulin‑producing β‑like state". Count characters: Let's count: "Turning off ALDH3B2 reprograms pancreatic duct cells toward insulin‑producing β‑like state". Count: T(1) ... Let's approximate: It's likely under 90. We'll ensure.

Now blank line.

Then paragraphs: each 2-3 sentences.

We need to wrap key numbers, percentages, gene names, dates in double asterisks. At most 4-5 per post.

Important facts: date September 2, journal Science Translational Medicine, gene ALDH3B2, gene KRT19, PANC-1 line, percentages 18.1% and 0.6%, about 93%, day 56, groups of five mice each.

We need to be selective: maybe choose date, journal, gene ALDH3B2, percentages 18.1% and 0.6%, day 56. That's 5 items.

Wrap each in .…

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We need to translate Russian news post into natural English, format per rules.

Rules:

1. First line = short headline under 90 chars. No markdown, no '#'.

2. Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines.

3. 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.

4. Wrap study/journal citations and publication references in single underscores _ (e.g., Nature Aging, July 2026).

We must preserve all facts, numbers, names, citations exactly. No commentary.

We need to identify important facts: numbers: 520 genes, 19 programs, 111,003 cells, 20 nearest control cells, 148 people, ages 23 to 91, June analysis (maybe June 2026?), preprint date: 29 August on bioRxiv. Also drug name: venetoclax. Also disease: acute myeloid leukemia. Also method: CRISPRi-Perturb-seq. Also maybe GRP18 program.

We need to wrap key numbers etc in . Must be selective: at most 4-5 per post. So choose maybe: 520 genes, 19 programs, 111,003 cells, 148 people, 29 August (date). Or maybe include venetoclax as drug name. But limit to 4-5. Let's pick: 520 genes, 19 programs, 111,003 cells, 148 people, 29 August. That's 5.

We must not wrap whole sentences. So embed these within sentences but only the numbers/dates inside .

Citations: we have preprint on bioRxiv, maybe also reference to June analysis (maybe a prior study). We need to wrap study/journal citations and publication references in single underscores _. Eg: bioRxiv, 29 August 2026? Actually the preprint date is given: "29 августа на bioRxiv вышел препринт". So we can wrap "bioRxiv, 29 August" maybe. Also mention "июньском разборе" (June analysis) maybe referencing a prior study; we can wrap "June 2026 analysis" but we need to keep exact? The instruction: wrap study/journal citations and publication references in single underscores. So we can put the citation like bioRxiv, 29 August and maybe June 2026 analysis if it's a reference. We'll keep minimal.

We must not add source link.

Now produce headline under 90 chars. Something like: "Scientists map hematopoietic stem cell responses by suppressing 520 genes". Count characters: Let's count: "Scientists map hematopoietic stem cell responses by suppressing 520 genes". That's about 66 characters. Good.

Now body paragraphs, each 2-3 sentences.

We need to include the facts with double asterisks.

Let's craft paragraphs.

Paragraph 1: Introduce preprint, date, method, number of genes, controls, cells.

Paragraph 2: Describe analysis: 19 programs, local response, comparison to controls, etc.

Paragraph 3: Link programs to functional data: transplantation, aging, leukemia, venetoclax.

Paragraph 4: Conclude about utility.

Make sure to wrap numbers in .

We need to ensure not to wrap whole sentences. So embed 520 genes, 19 programs, 111,003 cells, 148 people, 29 August.

Also maybe wrap CRISPRi-Perturb-seq? That's a method name, but maybe not needed as important fact. Could be considered a key name but we already have 5. We'll stick to 5.

Now citations: wrap bioRxiv, 29 August maybe. Also maybe June 2026 analysis for the June analysis.

We need to preserve exact names: "CRISPRi-Perturb-seq". Keep as is.

Now produce final answer.

Check formatting: first line headline, then blank line, then paragraphs separated by blank lines.

Make sure no markdown elsewhere (like no for bold except for the important facts). We'll use double asterisks for those facts.

Let's draft.

Headline:
Scientists map hematopoietic stem cell responses by suppressing 520 genes

Blank line.…

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Model predicts timing windows for partial cellular reprogramming via OSK(M)

On 1 September Matteo Chiarki and Steffen Rudolph posted a theoretical preprint on bioRxiv. In a minimal model and computer simulations, transient activation of OSK(M) — proteins that alter gene activity — produces three distinct outcomes. Epigenetic marks that regulate genes remodel faster than the three‑dimensional packing of DNA in the model.

Partial reprogramming should change age‑related gene‑expression signatures while preserving cell identity. The authors linked epigenetic marks to chromatin — DNA with proteins in the nucleus — noting that marks influence chromatin packing and that contacts between distant DNA regions help maintain a similar mark distribution. A short pulse nearly restores the original state; an intermediate duration makes the average mark balance sensitive to small perturbations at the boundary between stable states, while chromatin stays compact and retains long‑range contacts. After OSK(M) is switched off, this network restores mark correlations. A long pulse opens chromatin, reduces long‑range contacts, and erases correlational memory.

The authors tested one model prediction using published mouse‑cell data. In embryonic fibroblasts, correlations of the repressive epigenetic mark H3K9me3 decayed more slowly in dense B‑compartments than in open A‑compartments; in embryonic stem cells with weaker chromatin compartmentalization the difference was smaller, qualitatively supporting the model’s link between chromatin compactness and correlation range. In their 2025 preprint Chiarki, Benjamin Simons and Rudolph described three timescales of methylation changes — fast molecular events, intermediate dynamics, and slow transitions — and the new work adds the three‑dimensional shape of chromatin to this framework.

They propose measuring chromatin contacts and several epigenetic marks over time during OSK(M) induction. In the model, altering chromatin compactness or the feedback between mark reading and writing should shift the boundaries between the three regimes.

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We need to translate Russian news post into natural 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. 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: Generation Lab, Michael West, Matt Kaberlain, Alina Su, 1 Generation (injection combination), date: September 1 (Michael West post), September 2 (Alina Su response). Also mention eight people data, one participant anecdote, one blood marker. Also mention pilot study data. Also mention that Generation Lab began assigning 1 Generation to limited group before dispute. Also mention controlled trial design: random allocation, double-blind, placebo.

We need to wrap key numbers/dates/names in . For example: Generation Lab, Michael West, Matt Kaberlain, Alina Su, 1 Generation, September 1, September 2, eight people, maybe one blood marker. But limit to 4-5 total. So choose most important: dates, drug name, company name, maybe number of participants.

We need to wrap study/journal citations in single underscores. There are none explicit citations like journal names. There's mention of "pilot study". No journal citation. So maybe none.

We must not add source link.

We need to produce only formatted translation.

Let's craft headline: "Experts Call for Controlled Trial to Test Generation Lab's Anti‑Aging Claims". Count characters: let's count: "Experts Call for Controlled Trial to Test Generation Lab's Anti‑Aging Claims". Count: Experts(7) + space=1 =>8, Call(4)=12, space=13, for(3)=16, space=17, Controlled(10)=27, space=28, Trial(5)=33, space=34, to(2)=36, space=37, Test(4)=41, space=42, Generation(10)=52, space=53, Lab's(4 inc apostrophe?) Actually "Lab's" =5 inc apostrophe? L a b ' s =5, so 58, space=59, Anti‑Aging (maybe hyphen) let's count: Anti‑Aging = 10? A n t i ‑ A g i n g =10 inc hyphen? We'll approximate 10 =>69, space=70, Claims(6)=76. Under 90. Good.

Now blank line.

Now body paragraphs.

Paragraph 1: Introduce Michael West's call for controlled trial on September 1, referencing his review of a fragment of Generation Lab's presentation about 1 Generation injection combination, data from eight people, one participant anecdote, one blood marker, linking therapy to regeneration and tissue improvement. Wrap important facts: Michael West, September 1, Generation Lab, 1 Generation, eight people. That's 5 items, okay.

Paragraph 2: Matt Kaberlain's support for precise language, noting scientific basis real, consisting of two FDA‑approved drugs and animal data, distinguishing basis from needed placebo comparison. Wrap: Matt Kaberlain, FDA‑approved, maybe two FDA‑approved drugs but that's phrase. We need limit to 4-5 total across whole post; we already used 5 in paragraph1. Can't exceed total 4-5 per post. So we need to be selective overall, max 4-5 total. So we need to reduce.

We need at most 4-5 double asterisk wrapped facts total. So we need to choose maybe 4 facts: Generation Lab, 1 Generation, September 1, September 2? Or include Michael West and Matt Kaberlain as names. Let's decide: we need to include key numbers, percentages, drug/company/gene names, dates. So we need company name, drug name, dates, maybe number of participants (eight). That's four: Generation Lab, 1 Generation, September 1, eight people. Could also include September 2 but that would be fifth. We'll keep four.…

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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 Aging, July 2026).

We need to preserve all facts, numbers, names, citations exactly.

Let's extract facts:

- Essay by Jen Pollock Michel about aging links youth cult with fear of becoming a burden.
- September 1 writer Jen Pollock Michel published in Christianity Today a review of Jen Wilkin's book "Dust to Dust" about aging and family care.
- She traces how desire to look young connects with fear of becoming invisible and needing help.
- Michel begins with a photograph of 60-year-old Elizabeth Elliot, taken in 1986.
- On the portrait visible gray hair, wrinkles around eyes and folds on neck.
- Michel sees these signs of age as what the cosmetic industry has trained us to hide.
- Behind anxiety about appearance, she writes, lies fear of losing attractiveness, becoming invisible to others and burdening loved ones.
- Wilkin describes human life as a cycle of receiving and giving care: child receives it, adult cares for younger and older, elderly person again receives help.
- Such mutual aid links generations and preserves human dignity.
- Wilkin formulates it thus: "I want to direct the unearned gift of good health and long years to serving others. I want to relate to my body with reverence, but not make it the highest goal."
- To explain this anxiety, Michel recounts Rebecca Konyndyk DeYoung's book on vanity.
- DeYoung calls vanity dependence on public approval: fearing its loss, a person tries to hide what they consider their flaw.
- In the review, fear of aging is linked to fear that others will stop noticing the person, consider them needed and independent.
- Michel includes in this conversation longevity medicine: in her view, fear of future helplessness may push a person to try to avoid dependence.
- In a June conversation with Ross Douthat, Christian Angermayer also separated health from appearance: excess weight he linked to health risk, hair loss he suggested to leave alone, and desire to live longer — with time spent with children.
- In the review sit two motifs: preserve strength and be near loved ones; hold onto youth, beauty, independence and others' approval.

We need to include numbers: 60-year-old, 1986, September 1, June conversation (no year given). Possibly also "Christianity Today" date? Not given.

We need to wrap key numbers, percentages, drug/company/gene names, dates in . At most 4-5 per post.

Potential important facts: "60-year-old", "1986", "September 1", "June". That's four.

We could also include "Christianity Today" but that's a publication name, not a number/date. Could be considered a citation? It's a publication reference; we should wrap in single underscores Christianity Today? The rule: wrap study/journal citations and publication references in single underscores. So we should wrap "Christianity Today" in Christianity Today.

Also "Dust to Dust" is a book title; maybe treat as publication reference? It's a book; could be considered a citation; we can wrap in Dust to Dust.

Also "Rebecca Konyndyk DeYoung" is author; not needed.

We need to keep at most 4-5 double asterisks. Let's pick: 60-year-old, 1986, September 1, June. That's four.

Now we need to ensure we don't wrap whole sentences. Just those numbers.…

🔗 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 Aging, July 2026).

We need to preserve facts, numbers, names, citations exactly.

We need to identify key facts: date: 2 September (the experiment date?), article published 2 September in Nature about STV-C8. Actually: "2 сентября в Nature вышла статья о STV-C8". So date: September 2, article in Nature. Also mention STV-C8 protein particle delivering CRISPR-Cas9 to pig muscle, removal of exon 51 in ~40% cases. Also mention that compared to lipid nanoparticles, proportion of cells where delivered RNA worked was >1000-fold higher; required >10,000-fold lower dose. Also mention that in human cell line, STV-C8 gave more test protein than other protein carriers. Also mention that they screened >100 variants. Also mention that they used VSV-G for membrane fusion. Also mention that scaffold is protein assembly of eight identically arranged parts designed by RFdiffusion. Also mention that they chose exon 51 based on pig model of muscular dystrophy, removal of exon 51 restores reading frame.

We need to limit double asterisks to at most 4-5 facts. Choose the most important: date (September 2), article in Nature, STV-C8, exon 51 removal ~40%, >1000-fold higher efficiency vs lipid nanoparticles, >10,000-fold lower dose. That's 5 facts. Could also include >100 variants screened, but we need to keep <=5. Let's pick: September 2, Nature article, STV-C8, exon 51 removal ~40%, >1000-fold higher efficiency vs lipid nanoparticles, >10,000-fold lower dose. That's 6 if we count each separately. Actually each double asterisk can wrap multiple items? 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. So we need to decide which facts to bold. Could combine multiple items in one double asterisk? Eg September 2, Nature article about STV-C8. That's one fact (date and publication). Another: exon 51 removal in ~40% of cells. Another: >1000-fold higher efficiency vs lipid nanoparticles. Another: >10,000-fold lower dose required. That's four. Good.

We also need to wrap study/journal citations in single underscores. The citation is the Nature article: Nature, September 2 maybe. Actually the article is in Nature, published September 2. So we can put Nature, September 2. That satisfies citation wrapping.

We must not add source link.

Now format: first line headline. Something like: "Protein nanoparticle STV-C8 delivers CRISPR-Cas9 to pig muscle, editing dystrophin exon". Must be under 90 chars. Let's count: "Protein nanoparticle STV-C8 delivers CRISPR-Cas9 to pig muscle, editing dystrophin exon" length? Let's approximate: Protein(6) + space=1 =>7, nanoparticle(11)=>18, space=19, STV-C8(6)=>25, space=26, delivers(7)=>33, space=34, CRISPR-Cas9(12)=>46, space=47, to(2)=>49, space=50, pig(3)=>53, space=54, muscle,(7)=>61, space=62, editing(7)=>69, space=70, dystrophin(10)=>80, space=81, exon(4)=>85. So 85 chars, okay.

Now blank line.

Then body paragraphs, each 2-3 sentences.

We need to incorporate the facts with double asterisks and single underscores.

Paragraph 1: talk about the article date and STV-C8 description.

Paragraph 2: talk about design, screening, variants, VSV-G, scaffold.

Paragraph 3: talk about efficiency compared to lipid nanoparticles, test protein expression.…

🔗 Read original →

We need to translate Russian news into English, format as 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 explicit citation in the text, but there is mention of experiment 2023 with rat kidneys. Possibly we can treat that as a citation? It says "Эта химическая проблема уже определяла исход эксперимента 2023 года с почками крыс". That's not a journal citation. No explicit journal. So maybe no underscores needed. But we could still put something like 2023 rat kidney experiment? The rule says wrap study/journal citations and publication references in single underscores. If none, we can skip.

We need to preserve all facts, numbers, names, citations exactly. So we need to include dates: 1 September, report published, second quarter, etc. Also numbers: 85%, 50%, 250 thousand molecules, 7,684 new substances, >10 thousand cellular tests, 2,903 formulas, CPA-1042 consists of four components, etc.

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 be selective: maybe highlight: September 1, 85%, 50%, 250,000 molecules, 7,684 new substances, >10,000 cellular tests, 2,903 formulas, CPA-1042, VMP, Until Labs. But we can only have 4-5 total. So we need to choose the most important facts: maybe the date of report, the viabilities percentages, the number of molecules screened, the number of new substances tested, and the name CPA-1042. That's 5.

We must not wrap whole sentences. So we need to embed the double asterisks around just the fact, not the whole sentence.

We need to ensure we don't exceed 4-5 double asterisk groups. Let's decide on 5:

- September 1 (date)
- 85% (viability)
- 50% (VMP viability)
- 250,000 molecules (screened)
- 7,684 new substances (tested)

Alternatively could include CPA-1042 name. But we need to keep within limit. Perhaps we can include CPA-1042 as a name, but then we need to drop something else. The name is important. Maybe we replace one of the numbers with the name. Let's think: The key facts: date, viabilities, number of molecules screened, number of new substances tested, name of mixture CPA-1042. That's 5.

Thus double asterisks around: September 1, 85%, 50%, 250,000 molecules, 7,684 new substances, CPA-1042? That's 6. Too many.

We need max 4-5. Let's aim for 5.

Pick: September 1, 85%, 50%, 250,000 molecules, CPA-1042. Then we omit the 7,684 new substances? But that is also important. Could we combine "7,684 new substances" into a sentence without asterisks? The rule says 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 choose to not wrap some numbers if we want to stay within limit. But we must preserve all facts; we can still mention them without asterisks. So we can leave the 7,684 new substances without asterisks. That's okay.

Thus we will have double asterisks around: September 1, 85%, 50%, 250,000 molecules, CPA-1042. That's 5.

Check if any other numbers like ">10 thousand cellular tests" or "2,903 formulas" could be left without asterisks.

Now we need to format paragraphs: short paragraphs 2-3 sentences each, separated by blank lines.

We need to produce a headline first line, then blank line, then body.…

🔗 Read original →

We need to translate Russian news 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 explicit citation in the text; maybe none. So we may not need underscores unless we infer a citation? The text doesn't mention a journal. So we likely won't use underscores.

We need to preserve facts, numbers, names, etc. The text mentions: "мю-опиоидных рецепторов (mu opioid receptors)", "синее пятно (locus coeruleus)", "мышей", etc. No numbers except maybe "миллионы взрослых людей". That's a number: millions. Should we wrap "миллионы" in double asterisks? It's a key number. Also maybe "мю-опиоидных рецепторов" is a name; could be wrapped. But we need at most 4-5 double asterisks. Let's select: millions of adults, mu opioid receptors, locus coeruleus, maybe neuropathic pain? Not a number. Could also include "chronic neuropathic pain". But we need to be selective.

We need to avoid wrapping whole sentences. So we wrap only the specific phrase.

Let's craft headline: something like "Brain's 'Brake' Switch Could Turn Off Chronic Neuropathic Pain". Count characters: Let's count: "Brain's 'Brake' Switch Could Turn Off Chronic Neuropathic Pain". Count: Brain's (6 inc apostrophe?), actually let's count precisely: B(1) r2 a3 i4 n5 '6 s7 space8 '9 B10 r11 a12 k13 e14 '15 space16 S17 w18 i19 t20 c21 h22 space23 C24 o25 u26 l27 d28 space29 T30 u31 r32 n33 space34 O35 f36 f37 space38 C39 h40 r41 o42 n43 i44 c45 space46 N47 e48 u49 r50 o51 p52 a53 t54 h55 i56 c57 space58 P59 a60 i61 n62. That's 62 characters. Good under 90.

Now body paragraphs.

We need to split into short paragraphs 2-3 sentences each.

Let's draft translation:

Paragraph 1: Describe the problem: In nerve injury, locus coeruleus switches from natural analgesia to hyperactive generator of chronic neuropathic pain. This affects millions of adults worldwide due to diabetes, viral infections, or nerve compressions; traditional opioids act systemically, cause side effects, addiction.

Paragraph 2: Experiment details: Scientists focused on mu opioid receptors covering locus coeruleus neurons. They deleted these receptors specifically in locus coeruleus cells of mice with nerve injury. Without these biochemical brakes, animals showed heightened hypersensitivity to touch and heat vs controls.

Paragraph 3: Rescue: When mu opioid receptors were precisely restored on the same neurons, hypersensitivity vanished, effectively switching off the pathological pain mechanism. In neuropathic pain, the ability of mu opioid receptors to dampen locus coeruleus hyperactivity is impaired.

Paragraph 4: Future work: Researchers are developing methods to target these local receptors without affecting the rest of the nervous system. Creating pinpoint drugs that selectively activate the "biological brake" in locus coeruleus could shut down chronic pain without systemic addiction risk or toxic side effects.

Now we need to wrap key facts in double asterisks: maybe "millions of adults", "mu opioid receptors", "locus coeruleus", maybe "neuropathic pain"? But neuropathic pain is not a number; still could be considered important fact but maybe we limit to 4-5. Let's choose: millions of adults, mu opioid receptors, locus coeruleus, chronic neuropathic pain? That's 4.

We need to ensure we don't wrap whole sentences. So we wrap only those phrases.

Check each paragraph for those phrases.…

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Non‑Invasive Sensors Could Monitor 3D‑Printed Organs in Real Time

Currently, assessing the health of 3D‑printed organs and implant engraftment requires injections, biopsies, and blood draws—in other words, damaging the body's cells. Researchers have been asking whether this invasiveness can be avoided and replaced with non‑invasive methods.

One promising approach mixes phosphorescent micro‑particles directly into the bio‑ink before printing. These microscopic sensors respond to oxygen levels and are linked to special enzymes. When an ordinary red LED shines through the skin, the particles absorb photons and instantly emit an optical signal whose parameters shift with the surrounding glucose, lactate, and nutrient concentrations.

The entire chemical diagnosis occurs in just milliseconds. For people with diabetes or kidney failure, this means a tiny implant smaller than a grain of rice can be placed under the skin and read out with a regular smartphone. In transplantation, it offers a direct path to creating and safely engrafting full‑size bioprinted hearts and kidneys, whose condition doctors could monitor in real time.

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We need to translate Russian news post into English, format: first line 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. Wrap study/journal citations and publication references in single underscores.

We need to preserve facts, numbers, names, citations exactly. No added commentary.

Identify important facts: dates: 31 августа (August 31). Possibly year? Not given. Could be 2024? Not specified. We'll keep "31 августа". Could wrap date in double asterisks? It's a date. Also maybe "80,000 Hours". That's an organization name. Could be considered important fact. Also "JKM". Also "Will MacAskill". Also "Better Futures". Also "EA Forum". Also "effective altruism". But we need at most 4-5 double asterisks. Choose: date (31 августа), organization 80,000 Hours, Will MacAskill, Better Futures, maybe EA Forum? But we need to be selective.

We also need to wrap study/journal citations in single underscores. There are none explicit like "Nature Aging, July 2026". The text mentions no journal citations. So we may not need underscores.

Thus we will put double asterisks around: 31 августа, 80,000 Hours, Will MacAskill, Better Futures, maybe EA Forum? That's 5. Ensure not more than 5.

Now produce headline under 90 chars: maybe "EA Forum Essay Urges Considering Welfare of Future Digital Minds". Count characters: Let's count: "EA Forum Essay Urges Considering Welfare of Future Digital Minds". That's 61? Let's count: EA(2) + space=3, Forum=5 =>8, space=9, Essay=4 =>13, space=14, Urges=5 =>19, space=20, Considering=10 =>30, space=31, Welfare=7 =>38, space=39, of=2 =>41, space=42, Future=6 =>48, space=49, Digital=7 =>56, space=57, Minds=5 =>62. Under 90.

Now body: need short paragraphs 2-3 sentences each, separated by blank lines.

We'll translate the Russian content.

Let's craft paragraphs:

Paragraph 1: On August 31, forum user JKM posted a normative essay on effective altruism priorities, proposing separate evaluation of preserving humanity, loss of human influence over the future, and aligning AI with human values. He argues that the possibility of future AI systems having subjective experience calls for taking their welfare seriously.

Paragraph 2: Effective altruism directs resources where the greatest expected benefit lies. JKM critiques how its long‑term branch prioritizes issues, splitting the analysis into preserving humanity, the risk of human disempowerment, and AI alignment. Under disempowerment he envisions a future where people survive but lose the ability to shape decisions about that future.

Paragraph 3: This reframing changes the basis on which JKM evaluates civilization’s preservation: its value depends on how well its inhabitants fare in the continued future. Since humans could maintain factory farming or create digital beings capable of suffering, he makes the welfare of future beings a separate strategic criterion.

Paragraph 4: In discussing disempowerment, JKM adds another risk: advanced AI could displace humans from work, concentrating wealth and decision‑making among system owners. He treats power concentration as a distinct harm that may persist even under formal human oversight.

Paragraph 5: For AI, JKM prefers Will MacAskill’s “value alignment” proposal: a system should explain its reasoning, revise its values, and abandon harmful goals, remaining corrigible and limited. Digital minds, in his argument, are possible future AI systems capable of experience ranging from pleasant to painful; their numbers could be enormous, and decisions made in the coming decades could set long‑term conditions for their existence.…

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Michael West Discusses Growth Hormone Supplements and Age‑Dependent IGF‑1 Risks

Michael West raised the question of whether growth hormone and IGF‑1 supplements slow, reverse, or accelerate aging, citing an observational analysis of 440,185 participants from the UK Biobank project. The study found that baseline IGF‑1 levels were linked to future disease and mortality in a U‑shaped, age‑dependent pattern, with the discussion posted on 2 сентября.

Growth hormone exerts much of its effect through IGF‑1, a protein that participates in tissue growth and development. West argues that supplements of growth hormone and IGF‑1 actually speed up the overall aging process.

The the 2021 article examined contradictory early findings: in younger cohorts high IGF‑1 was associated with better outcomes, whereas in older cohorts it was linked to worse outcomes. Researchers tested whether age changes the direction of this association by measuring IGF‑1 at baseline, relating it to later disease and death, and then repeating the comparison within age‑specific groups.

For mortality, dementia, diabetes, vascular disease, and osteoporosis the association was U‑shaped: individuals with the lowest and highest IGF‑1 levels had higher risk than those with mid‑range levels. In contrast, for cancer higher IGF‑1 overall correlated with greater incidence of new cases.

In younger age groups high IGF‑1 was tied to lower risk for several outcomes; with advancing age this protective link weakened, and high IGF‑1 levels became adverse for multiple outcomes. In experiments on old mice, IGF‑1 derived from young blood helped restore the protective blood‑brain barrier.

The UK Biobank authors measured natural IGF‑1 levels in participants and later matched them to occurring diseases and deaths, while the mouse study altered the signal in specific tissue. They interpreted the pattern as an example of antagonistic pleiotropy—a trait that supports growth and development early in life may later contribute to disease.

West discusses growth hormone supplements in relation to age, baseline IGF‑1 level, and the specific function for which the signal is intended to be enhanced.

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We need to translate Russian news post into natural English, format: 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 facts, numbers, names, citations exactly. No commentary. No source link.

We need to identify important facts: Michael West, date September 2 (maybe year unspecified). He is aging researcher. He gave hypothesis. He had childhood anecdote with father. He studied senescent cells, SASP, proteases, plasminogen activators, plasmin, metalloproteinases, elastin. He mentions cutis laxa in 16-year-old girl. He references Nature Aging comment about aging matrix. He references review about skin aging. He suggests testing hypothesis by comparing SASP composition, protease activity, matrix state, tissue properties.

We need to wrap key numbers, percentages, drug/company/gene names, dates in double asterisks. So we need to decide which are key: date "2 сентября" (September 2) maybe year not given; we can treat as date. Also "16-летней девушки" (16-year-old girl). Also maybe "SASP" is an acronym but not a number. "proteases", "plasminogen activators", "plasmin", "metalloproteinases", "elastin". Those are names but not numbers. The rule says wrap key numbers, percentages, drug/company/gene names, dates. So gene/protein names could be considered? It says drug/company/gene names. So we could wrap gene/protein names like elastin, plasmin, plasminogen activators, metalloproteinases, SASP? SASP is not a gene but a phenotype. Might be okay to wrap some.

We need at most 4-5 double asterisk wraps. So we need to be selective. Choose maybe: September 2, 16-year-old girl, elastin, plasmin, SASP. That's 5.

We also need to wrap study/journal citations in single underscores. We have: Nature Aging (comment), maybe also a review about skin aging (unspecified journal). The text mentions "Обзор о старении кожи подтверждает общий механизм: SASP может поддерживать воспаление и деградацию внеклеточного матрикса." No specific journal given. So only Nature Aging citation. Also maybe "журнал Nature Aging о стареющем матриксе". So we wrap that as Nature Aging.

We need to ensure we don't wrap whole sentences. So we need to embed the double asterisks around the selected phrases within sentences, not wrapping entire sentence.

We need to produce headline under 90 chars. Something like: "Michael West proposes senescent cells alter tissue elasticity via protease‑driven elastin breakdown". Count characters: Let's count: "Michael West proposes senescent cells alter tissue elasticity via protease‑driven elastin breakdown". Count: M(1) ... Let's approximate: It's likely under 90. We'll ensure.

Now body: split into short paragraphs 2-3 sentences each, separated by blank lines.

We need to preserve all facts. Let's craft paragraphs.

Paragraph 1: Introduce Michael West's hypothesis and anecdote.

Paragraph 2: Details of his research: senescent cells, SASP, proteases, plasminogen activators, plasmin, metalloproteinases, elastin.

Paragraph 3: Connection to cutis laxa case and feedback loop per Nature Aging comment.

Paragraph 4: Review of skin aging and West's mechanism, and how to test hypothesis.

We need to embed double asterisks for selected facts.

Let's decide which facts to bold:

- September 2 (date)
- 16-year-old girl (age)
- elastin (protein)
- plasmin (enzyme)
- SASP (phenotype)

We'll wrap each with double asterisks.

Now ensure we don't wrap whole sentences: e.g., "On September 2, researcher Michael West posted..." That's okay.…

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Tahoe-100M atlas shows limited gain from complex models over simple average drug effect

On September 1 a preprint appeared describing the Tahoe-100M atlas, which measures how drugs alter gene activity in cells. The author asked whether a cancer cell line’s baseline gene‑expression profile could predict its response to a given compound.

Six models barely outperformed a simple forecast based on the drug’s average effect; the best added only 0.004 R² to that baseline for the contextual response. The atlas covers 47 cancer cell lines and 377 drugs at 5 µM.

For 107 drugs the median similarity between replicates was 0.067, with only four exceeding 0.2, indicating low repeatability that constrains predictive power for new lines.

Among five drugs with repeatability above 0.15, one model achieved an average R² +0.058 using the baseline profile, and in three of those cases it surpassed the simple average‑effect prediction. The benchmark evaluates both model quality and measurement stability, pairing repeatability with R² to separate a true contextual signal from experimental noise.

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