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.…

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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.…

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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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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 explicit citation in the text; maybe we need to embed any reference like "TxBench-AB" etc? The rule says wrap study/journal citations and publication references in single underscores. The text mentions "TxBench-Antibody Discovery", "TxBench-PP". Those are dataset names, not citations. There's no journal citation. So we may not need underscores unless we infer something like "authors" but not needed. We'll not add underscores unless there is a citation.

We need to preserve all facts, numbers, names, dates exactly. Must not add commentary.

We need to be selective: at most 4-5 double asterisk wrapped facts. Choose key numbers: 53.0%, September 2, 100 tasks, Opus 5 and Claude Code, 152 of 287 attempts, 28 of 92 tasks with three attempts all three wrong, 82.3% of 3517 erroneous attempts, etc. Also maybe mention dates: September 2. Also mention company LatchBio. Also mention Opus 5, Claude Code, Grok 4.6. Also mention TxBench-AB, TxBench-PP. Need to limit to 4-5 double asterisks. Choose the most important: 53.0%, September 2, 100 tasks, Opus 5 in Claude Code passed 152 of 287 attempts, 82.3% of 3517 erroneous attempts due to data interpretation errors. That's 5 facts. Could also include 28 of 92 tasks all three wrong, but that would be 6. We'll stick to 5.

We must not wrap whole sentence; just wrap the fact inside double asterisks, not the whole sentence. So embed them within sentences.

We need to ensure we don't exceed 4-5 double asterisks. We'll have exactly 5.

Now produce headline: maybe "LatchBio releases TxBench-AB to test AI agents on antibody drug design". Count characters: Let's count: "LatchBio releases TxBench-AB to test AI agents on antibody drug design". Count: LatchBio(8) + space=1 =>9, releases(7)=>16, space=1=>17, TxBench-AB(10)=>27, space=1=>28, to(2)=>30, space=1=>31, test(4)=>35, space=1=>36, AI(2)=>38, space=1=>39, agents(6)=>45, space=1=>46, on(2)=>48, space=1=>49, antibody(8)=>57, space=1=>58, drug(4)=>62, space=1=>63, design(6)=>69. So 69 chars, under 90. Good.

Now blank line.

Now body paragraphs, each 2-3 sentences.

We need to embed double asterisks around selected facts.

Let's craft paragraphs.

Paragraph 1: Introduce TxBench-AB release date and description.

"On September 2, LatchBio unveiled TxBench-Antibody Discovery (TxBench‑AB), a benchmark consisting of 100 tasks in which an AI agent receives experimental data before deciding on the next step in antibody‑drug development." That's three facts: September 2, TxBench-Antibody Discovery, 100 tasks. That's three double asterisks.

Paragraph 2: Describe the evaluation results for Opus 5 + Claude Code.

"The combination of the Opus 5 model and the Claude Code environment solved 53.0 % of the evaluable attempts, successfully completing 152 out of 287 trials." That's two facts: 53.0%, 152 out of 287. That's now total 5 facts (we used 5). We must not exceed 4-5; we have exactly 5 now. Good.

Paragraph 3: Talk about task structure and other model performance.…

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Hippocampal tTIS trial launched for mild cognitive impairment

On September 2, ClinicalTrials.gov posted record NCT07799584 for a hippocampal stimulation study in mild cognitive impairment. Investigators plan to enroll 120 participants aged 60–80 years with mild cognitive impairment. Active stimulation will be compared to sham while both groups follow the same tai‑chi program.

The active intervention, called tTIS, delivers two high‑frequency currents (2000 Hz and 2005 Hz) via scalp electrodes; where the fields overlap they generate a 5 Hz rhythm in the target region. Before treatment each participant undergoes MRI, and a computer model uses the scan to position the electrodes over the left hippocampus. The sham condition keeps electrodes, timing and sensation identical but supplies current only for 30 seconds at ramp‑up and ramp‑down.

Both groups attend identical tai‑chi sessions that include attention, memory and movement‑switching tasks; the only difference is the stimulation regime. An independent statistician will assign participants to active or sham in a 1:1 ratio, and the allocation will be concealed from participants, staff, investigators and outcome assessors.

Prior work reported in Nature Neuroscience, 2023 first validated the electric‑field calculations in a post‑mortem human brain, then measured hippocampal response with fMRI in 20 healthy volunteers. In a separate sample of 21 young participants a statistical model estimated that tTIS improved correct face‑name recall by 12%.

The current trial will administer 20‑minute tTIS three times per week for eight weeks (24 sessions total). Memory, attention, dual‑task walking and MRI metrics will be assessed before and after the course, with some tests repeated at week 24. Comparing changes between the active and sham groups will isolate the specific contribution of tTIS to cognitive function.

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Lacuna tool finds hidden protein pockets for small‑molecule binding

In a preprint published on 18 August, Clayton Moor described Lacuna — an open‑source tool that searches for hidden pockets where a small molecule can enter a protein.

In its baseline mode Lacuna builds 20 nearby protein states from a single structure; on one CPU core the median time per chain is 2.6 seconds. Proteins constantly shift shape, and a static model shows only one snapshot, so pockets may open only during motion.

When tested on 925 binding maps with GNINA, the program recovered the correct ligand position in less than 5% cases when given a structure with a loop closing the pocket. Lacuna creates the 20 states using normal modes, finds cavities, merges overlapping ones, and ranks regions by how often they open, their volume, and their displacement.

Ranking changes the outcome. In CryptoBench, the old analytical rule placed the correct region in the top five in 17.8% of cases; a linear model that considers

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E. coli RNA polymerase transcribes synthetic eight‑letter DNA into RNA

the article published 2 September reports that purified E. coli RNA polymerase — the enzyme that copies DNA into RNA — read a synthetic DNA strand containing four natural and four artificial letters. It incorporated the letters P, Z, B, and S into RNA and continued elongation after a P:Z pair.

Normal DNA stores hereditary information with four letters: A, T, G, and C. In 2019 researchers created the Hachimoji system and added P, Z, B, and S to them. The new letters form pairs P:Z and B:S, preserving the double‑helix shape. The whole set was then transcribed into RNA by a modified viral T7 polymerase.

The team of Dun Wan assembled E. coli RNA polymerase with short synthetic DNA fragments and examined the eight nucleotides that make up RNA. Correct P:Z and B:S pairs were incorporated into RNA especially efficiently. For P:Z the attachment rate was about half that of G:C under the same conditions, after which the enzyme continued to synthesize long RNA.

However, the letter Z showed a specific error: under some conditions it loses a proton and can pair with G instead of P. In the Z* variant the nitro group of Z was

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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. No added commentary.

We need to identify citations: The article published 2 September (date). Probably a journal article. The text: "В статье, опубликованной 2 сентября , авторы изменили короткий ДНК-адрес, который распознаёт бактериофаговый фермент Bxb1." So citation: article published September 2 (year unspecified). We need to wrap date in double asterisks? It's a date, yes key fact. Also numbers: 144 variants, 49–52% recombination, 1.7 times higher, 31% insertion for CD19-CAR, 25% for OTC, 5.8 thousand nucleotides, 31 of 129 regenerated transgene-positive plants.

Gene names: HEK293T, Bxb1, attP, attB, PASSIGE, prime editor, CD19-CAR, OTC.

We need to wrap key numbers and percentages and maybe gene names? The rule: wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks. So we can wrap gene names as well but be selective: at most 4-5 per post. So we need to choose maybe 4-5 important facts: e.g., 144 variants, 49–52%, 1.7-fold, 31%, 25%, 5.8 kb, 31 of 129. That's many. Need to limit to 4-5. We can combine some? Perhaps we can wrap only the most salient: 144 variants, 49–52% recombination, 31% insertion for CD19-CAR, 25% for OTC, 5.8 kb cassette. That's 5. Also date maybe not needed if we already have 5. But date is also important. Could replace one. Let's decide: we need at most 4-5. Choose 5: 144 variants, 49–52%, 31%, 25%, 5.8 kb. Also we could include date but then exceed. Maybe we can include date as part of citation? The citation is not required to be wrapped; we wrap study/journal citations in single underscores. The date is part of the citation? The article published 2 September. Could be considered a citation reference. We could wrap the date in single underscores? No, that's for study/journal citations and publication references. So we could put September 2 (or 2 September) as a publication reference. That would be okay. Then we can still have 4-5 double asterisks for numbers.

Thus: double asterisks for: 144 variants, 49–52%, 31%, 25%, 5.8 kb. That's five.

Now single underscores for citation: maybe September 2 or published September 2. The rule: wrap study/journal citations and publication references in single underscores (e.g., Nature Aging, July 2026). So we can put September 2 as publication reference.

Now we need to format paragraphs: short paragraphs 2-3 sentences each.

Let's craft translation.

First line headline: something like "144 DNA-address variants boost large gene cassette insertion in human cells and rice". Under 90 chars.

Now blank line.

Paragraph 1: talk about article published Sep 2, authors modified short DNA address recognized by phage enzyme Bxb1. Best variants increased successful docking proportion in HEK293T line. In rice same idea with modified Bxb1 helped insert long genetic cassette at chosen genome site.

That's maybe 3 sentences.…

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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 facts, numbers, names, citations exactly. No added commentary.

We need to identify important facts to bold: numbers like 30–70%, dates (2 сентября), maybe names: Masayoshi Suda, Tamara Chkonia, James Kirkland, Geromedicine, p16, p21, CXCL1, CXCL5, CXCL8, PDGF-AA, TNFα, IL-6, eNOS, etc. Also percentages like 1–1.5% body mass. Also maybe mention "obese mice". Also mention "after intervention". But limit to 4-5 bolded items.

We need to be selective: at most 4-5 per post. So choose maybe: 2 сентября, 30–70%, p16, p21, 1–1.5%? That's 5. Or maybe include drug name? There's no specific drug name given, just senolytics. Could bold "Geromedicine". But we need to keep within limit.

We also need to wrap study/journal citations in single underscores. The citation: "Масаёси Суда, Тамар Чкония и Джеймс Киркленд опубликовали в Geromedicine обзор о стареющих клетках при ожирении." So we need to underscore the journal: Geromedicine. Also maybe date? The date is part of headline? We'll bold date.

Thus we will have: Geromedicine as citation.

Now produce headline: maybe "Senolytics must be tailored to cell type and tissue, review says". Under 90 chars.

Check length: "Senolytics must be tailored to cell type and tissue, review says" length ~55.

Now blank line, then body paragraphs.

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

Let's craft paragraphs:

Paragraph 1: Introduce review, authors, date, journal.

Paragraph 2: Explain senolytics, SASP, inflammatory vs growth signals, residual senescent cells after treatment (30–70%), changes in CXCL1/5/8 and PDGF-AA.

Paragraph 3: Mechanisms: protective anti-apoptotic pathways, inflammatory SASP makes cells dependent, senolytics temporarily inhibit.

Paragraph 4: In obese mouse fat tissue, differences by cell type: p21+ progenitors and immune cells have more inflammatory signals; p16+ endothelial subtype more inflammatory with DNA damage, TNFα, IL-6.

Paragraph 5: Time after stress changes marker role: irradiated mice p21+ at 1 month, p16+ accumulate by month 4, clearance only effective late; p16+ immune cells help tolerate infection and irradiation.

Paragraph 6: Tissue, stress, time determine harm vs benefit; endothelial cells ~1–1.5% body mass but line vasculature; exposed to glucose, fatty acids; senescent endothelial SASP drives inflammation and secondary senescence; creates feedback loop with other inflamed cells.

Paragraph 7: Genetic mouse model: drug removed p16+ senescent endothelial cells; obese mice after intervention had reduced fat mass, lipid accumulation, improved glucose tolerance, increased eNOS expression.

Paragraph 8: Conclusion: senolytic design must consider cell type, tissue, stress source; targeting vascular endothelium links blood and fat tissue.

Now we need to bold key numbers/names/dates: choose 2 сентября, 30–70%, p16, p21, 1–1.5% (maybe also eNOS? but that's a gene name; could be bold but we already have 5). We'll keep those 5.

We need to ensure we don't bold whole sentences. So embed bold within sentences.

Also need to wrap journal citation in single underscores: Geromedicine.

Now produce final answer.

Check for any extra formatting: no markdown except bold and underscores. Headline line no markdown.

Make sure blank line after headline, then paragraphs separated by blank lines.

Let's craft.…

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US Launches National AI Resource Access Center for Science

The United States is establishing a national AI‑resource access center for science. On September 1, the University of California, San Diego announced that the U.S. National Science Foundation has awarded $35 million over five years to the NAIRR Operations Center.

The center will link researchers, educators, and students with computing power, data, AI models, software, and technical support. According to the NSF award notice, the agreement begins October 1 2024 and runs through September 30 2031.

In its first two and a half years, the NAIRR pilot — an NSF program that connects research and education teams with AI resources — has engaged about 900 teams and instructors across all 50 states.

NAIRR‑OC will be led by the San Diego Supercomputer Center at UC San Diego together with the Texas Advanced Computing Center at the University of Texas at Austin. Private, federal, and academic organizations will supply the computing, data, models, and software for research.

The operations center will coordinate providers and pool their resources into a single national online service. Teams can request needed resources in one place, then receive documentation, training, and technical assistance; forums and feedback channels will help the center adapt to user needs.

The center will be built on the existing national services of those two centers, transferring suitable pilot functions into long‑term infrastructure along with user‑access and support procedures. Biomedicine and public health are highlighted as areas where combining computation, data, and AI tools will support reproducible collaborative science.

The grant funds day‑to‑day operations: matching a science team’s request with distributed resources and helping them use those resources in their projects.

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