Longevity InTime: Autonomous AI Institute. Anti-Aging Digital Health Immortality Transhumanist AI Channel

Longevity Study Results A recent study published in Nature Medicine on August 21 analyzed 51 longevity studies with 3,128 blood samples. The authors calculated 16 epigenetic clocks, which are markers on DNA associated with age, mortality risk, or aging rate. Clinical outcomes of anti-aging interventions become apparent over years, as diseases and mortality develop slowly. The researchers took blood samples before and after interventions and used the clocks as a rapid measure. They should notice changes and provide consistent results upon repeated measurements. The same group had previously shown that re-analyzing the same sample can be accurate, but a new sample from the same person can give a different result. The authors collected pairs of samples before and after interventions from the TranslAGE database, unified participant information and observation periods, and recalculated the same panel of clocks for each sample. They separated the clock measurements from calendar age and compared the results for each person. This allowed them to determine which measures shifted after different interventions and in different participant groups. Measures developed to assess aging rate or mortality risk, such as DunedinPACE, more often provided a consistent response. 🔗 Read original →

IGF-1 Restores Brain Barrier Researchers found that IGF-1 is a crucial factor in restoring the protective barrier of the brain in old mice with young circulation. In a study published on August 20, 2026, 18-month-old mice were surgically connected to 4.5-month-old mice through a shared circulatory system. The young circulation reduced leakage through the protective barrier between the blood and brain tissue and increased the density of small vessels. When the level of IGF-1 was reduced in young mice, and its receptor was removed from the vascular wall of old mice, both improvements weakened. This experiment is called heterochronic parabiosis, where an old and young mouse are surgically connected to share a circulatory system. In a 2024 study, the same group found that old partners had a less permeable blood-brain barrier and a denser network of capillaries, the smallest vessels. The new study checks which signal in the shared blood is involved in these changes. The authors chose IGF-1, a signaling protein whose level in the blood decreases with age. To respond to it, the protein must enter the shared circulation, and the inner lining of the vessel, the endothelium, must receive the signal through the IGF-1R receptor. The researchers evaluated the state of the barrier by introducing glowing molecules of different sizes into the blood and observing whether they exited the vessels into the brain tissue, as reported in Nature Aging, July 2026. 🔗 Read original →

IGF-1 Key to Brain Barrier The protein IGF-1 has been found to be a crucial link in restoring the protective barrier of the brain in old mice with young circulation. In a study published on August 20, 2026, 18-month-old mice were surgically connected to 4.5-month-old mice through a shared circulatory system. The young circulation reduced leakage through the protective barrier between the blood and brain tissue and increased the density of small vessels. When the level of IGF-1 was reduced in young mice, and its receptor was removed from the vascular wall in old mice, both improvements weakened. This type of experiment is called heterochronic parabiosis, where an old and young mouse are surgically connected to share a circulatory system. In a 2024 study, the same group had already found that old partners had a less permeable blood-brain barrier and a denser network of capillaries, the smallest vessels. The new study checks which signal in the shared blood is involved in these changes. The authors chose IGF-1, a signaling protein whose level in the blood decreases with age. To respond to it, the protein must enter the shared circulation, and the inner lining of the vessel, the endothelium, must receive the signal through the IGF-1R receptor. In one group, IGF-1R was removed from the endothelium of the old mouse, and in another, IGF-1 production was reduced in the liver of the young partner. These interventions test different parts of the same chain. The state of the barrier was assessed through a transparent window in the skull: fluorescent molecules of different sizes were introduced into the blood, and it was observed whether they exited the vessels into the brain tissue. With a deficiency of IGF-1 or its receptor, the smallest of these molecules exited more strongly; the density of capillaries with a diameter of up to 10 micrometers also decreased. In groups with altered IGF-1 or its receptor, part of the improvements were still preserved, as reported in Na

Longer Lives in Worms Researchers from McGill University published a study on August 20 in eLife examining nine long-lived lines of the roundworm Caenorhabditis elegans. All of these lines lived longer than typical worms, but in two groups, some of the shared genes worked in opposite directions. The authors then tested some of these genes in experiments on the animals themselves. The study's authors first confirmed that all nine lines indeed lived longer than typical worms, and then compared them in a single design. For each line, they took at least six independent samples, and for control worms, 18. They measured gene function using RNA-seq, a method that counts RNA and shows how actively a cell is using each gene. The profiles were divided into three groups, with 507 genes showing increased activity in four lines, and 188 of those same genes showing decreased activity in two lines. The authors checked whether such changes were involved in life extension, rather than just accompanying it. Out of 196 genes active in at least six lines, they were able to test 116 using RNA interference, a method that reduces the activity of a chosen gene. Most interventions did not change lifespan, but seven candidates passed a repeat test, with suppression of each reducing life in both normal worms and a line with disrupted mitochondrial function. 🔗 Read original →

Longer Life in Worms Researchers from McGill University published a study on August 20 in eLife examining nine long-lived lines of the roundworm Caenorhabditis elegans. All of these lines lived longer than normal worms, but in two groups, some of the same genes worked in opposite directions. The authors then tested some of these genes in animal experiments. The study found that mutations that extend life are usually studied one line at a time and under different conditions, which can reflect both biology and experimental design. The authors first confirmed that all nine lines indeed lived longer than normal worms, and then compared them in a single design. For each line, they took at least six independent samples, and for control worms, 18 samples. The authors measured gene function using RNA-seq, a method that counts RNA and shows how actively a cell uses each gene. The profiles were divided into three groups, with 507 genes showing increased activity in four lines, and 188 of the same genes showing decreased activity in two lines. A similar divergence was found in genes regulated by the DAF-16/FOXO protein, which turns other genes on and off. 🔗 Read original →

NSF Grants Down The National Science Foundation (NSF) will award around 6,100 new grants, a 30% decrease from the previous year. By the end of the fiscal year, the foundation will have awarded approximately 6,100 new research grants, 46% fewer than the average from 2021-2024. This is the lowest number of new grants awarded by the NSF in over forty years. The application process for a research grant at the NSF typically involves independent review, followed by review at a division level, which then finalizes funding. As of August 19, the foundation had awarded 5,684 new grants, with around 400 more applications pending. All new applications were due by August 3, so the estimated yearly total is around 6,100 grants. Chemist Jarret Wilcoxen from the University of Wisconsin-Milwaukee requested equipment for his laboratory and twenty other laboratories in the region. He comments on the application process: "The applications were not rejected, but they have not been fully approved with funding either." The 43-day government shutdown at the beginning of the fiscal year delayed hundreds of panel meetings, and funding for new grants did not begin until mid-April. In July, the foundation recalled around $300 million from two directorates, affecting over 150 applications that had already been recommended for funding. Cuts to regular NSF programs for the X-Labs initiative began earlier, and the current numbers show the scope of these cuts for the entire fiscal year. An internal NSF registry, seen by Nature, shows that $1,016,862,632 is being held from the foundation's $8.8 billion annual budget, which is not available for regular grant programs. 🔗 Read original →

NSF Grants Reduced The National Science Foundation (NSF) will award around 6,100 new grants, a 30% decrease from the previous year. By the end of the fiscal year, the foundation will have awarded approximately 6,100 new research grants, which is also 46% less than the average from 2021-2024. This is the lowest number of new grants awarded by the NSF in over forty years. The application process for a research grant at the NSF typically involves independent review, followed by review at a division level, where funding is finalized. As of August 19, the foundation had awarded 5,684 new grants, with around 400 more applications pending. All new applications were due by August 3, so the estimated yearly total is around 6,100 grants. A 43-day government shutdown at the beginning of the fiscal year delayed hundreds of panel meetings, and funding for new grants did not begin until mid-April. In July, the foundation withdrew around $300 million from two directorates, affecting more than 150 applications that had already been recommended for funding. Cuts to regular NSF programs in favor of the X-Labs initiative began earlier, and the current numbers show the scale of these cuts for the entire fiscal year. According to an internal NSF registry obtained by Nature, $1,016,862,632 is being held on the central account from the foundation's $8.8 billion yearly budget. These funds are not available for regular grant programs. A significant portion of the pool is being directed towards the White House's Grand Research Challenges initiative, which includes large research challenges in areas such as artificial intelligence and advanced materials. 🔗 Read original →

Pixelgen Funding Pixelgen has raised $15.5 million to commercialize the measurement of protein neighborhood on the surface of individual cells. On August 20, Pixelgen announced a Series B round of $15.5 million, led by Flat Capital, with existing investors Industrifonden and Navigare Ventures participating. The company will use the funds for global commercialization of the Proxiome Kit, team expansion, and product portfolio growth. The surface of a cell contains proteins that receive external signals and respond to them. Traditional single-cell analysis counts which proteins are present in a cell and how many there are. The Proxiome Kit adds arrangement information: which proteins cluster together and which are nearby on the cell membrane. The kit is based on the Proximity Network Assay. Cells are fixed, then antibodies with DNA barcodes bind to selected surface proteins. The barcodes are copied multiple times near the binding site, and neighboring copies are connected and read by sequencing - a method of reading DNA sequences. In a preprint, the authors described a panel of 155 plasma membrane proteins and applied the method to blood cells, blood cancer cell lines, CAR-T models, and autoimmune disease samples. In one cell, they obtained tens of thousands of spatial nodes and around 12 thousand pairwise relationships between proteins. A single sample provides both a traditional list of protein markers and a scheme of their neighborhood on the cell surface. Pixelgen is bringing this measurement method to a commercial kit, as described in preprint, August 2026. Laboratories will be able to compare cells not only by their protein set but also by how these proteins are arranged next to each other. 🔗 Read original →

Viral Gene Therapy Researchers have used a viral vector to deliver a working copy of the ALPK3 gene to heart cells in adult mice with a inherited heart muscle disease. The study, published in Nature Cardiovascular Research on August 19, found that the treatment restored heart function and structure to levels similar to those of healthy animals. The heart contracts due to sarcomeres, repeating protein structures in muscle cells, and ALPK3 helps maintain these proteins in working condition. Without two working copies of ALPK3, the heart becomes enlarged and pumps blood less efficiently. In humans, disease-causing variants of this gene lead to inherited cardiomyopathies, with ALPK3 variants accounting for around 2% of cases of hypertrophic cardiomyopathy. The researchers used an AAV viral vector to package a 5,800-base pair construct containing ALPK3, and found that it restored order to the contraction apparatus in diseased hearts. They also tested the therapy in human heart organoids with variants of the TTN gene, which codes for the massive protein titin that forms the sarcomere framework. The results showed that delivering ALPK3 restored contraction strength to levels similar to those of organoids without the variant. 🔗 Read original →

Cas9d Ultra Editor The compact Cas9d Ultra editor was placed in a single AAV viral vector and used to modify a gene in the livers of mice. On August 19, authors published a study on Cas9d Ultra, a compact genetic editor. One of its variants, 9dCBE, changes the letter C in DNA; it was packaged with a guide RNA in a single AAV9 viral vector and administered to newborn mice. Through five weeks, the editor modified the target region of the Pcsk9 gene in the liver by an average of 15.7%, and the level of LDL cholesterol in the serum was lower than in mice after PBS injection. The base editor makes precise changes to one "letter" of DNA. The guide RNA sets the address in the genome, the CRISPR protein holds the editor in place, and the attached enzyme performs the chemical replacement of the base. The AAV virus, which carries the genetic cargo into cells, typically holds around 4,700 nucleotides. Large editors are often split between two vectors. In this study, a single AAV9 delivered both the editor and its guide RNA. The Cas9d MG34-1 was chosen due to its size: this protein consists of 747 amino acids and works with a guide RNA of normal length for CRISPR. In a 2022 study, its early version achieved up to 22% base editing on three targets in human cells. The current authors modified four amino acids in the protein and the guide RNA scaffold. In a cellular test, where DNA cutting triggers a fluorescent signal, activity increased from 20.44% to 63.32%. 🔗 Read original →

Jacek Hoffmann Proposal Jacek Hoffmann proposed building systems from multiple AI agents with different data and verification methods. On August 20, Hoffmann published an essay on "heterogeneous cognitive ecology": humans and AI approach a task with different methods and data, then cross-check results. He calls the scenario where multiple agents share one mistake "Beryl Cage". Hoffmann assumes a possible asymmetry: AI systems will increasingly create and transform information, while an individual will find it harder to reconstruct the solution path. He sees a sample verification device in science: one participant proposes an explanation, another looks for a counterexample, and a third repeats the analysis with different data or methods. This makes the error more noticeable where the results diverge. Diverging data, methods, and criteria create different reasoning paths and different errors. The divergence can reveal a hidden assumption or condition that the first participant missed. Ten copies of one system can agree because they err in the same way. "The number of models is not equal to diversity," Hoffmann writes, citing an official report from Anthropic, August 13. 🔗 Read original →

AC Immune Reports Progress AC Immune reported that ACI-19764 reached the cerebrospinal fluid around the brain and dose-dependently suppressed the inflammatory signal IL-1β in blood analysis. On August 20, AC Immune published interim data from the first cohorts of the ACI-19764 study in healthy volunteers. The company checked if the drug reached the central nervous system environment, achieved the necessary concentration there, and was associated with a biochemical response in the blood. The ACI-19764 is an orally administered small chemical compound. AC Immune is developing it as an NLRP3-inflammasome inhibitor - an intracellular complex of the immune system involved in the formation of inflammatory signals, including IL-1β. In the August 20 release, the company reported on cohorts with single and repeated doses. The detection of ACI-19764 in cerebrospinal fluid shows that the drug reached the central nervous system environment. Daily doses of up to 10 mg gave concentrations above the IC90 level - the level of substance that in a laboratory test suppresses 90% of the chosen response. In whole blood samples, IL-1β release decreased with increasing dose. These measurements answer different questions: did the drug reach the central nervous system environment, is its concentration sufficient for the laboratory goal, and does IL-1β release in the blood decrease with dose. The original protocol in the NCT07463196 registry is designed for 78 healthy volunteers. 🔗 Read original →

Perturb-ME Maps Cell Mechanisms Researchers from Genentech and the Broad Institute presented the Perturb-ME method in a preprint on August 18, which combines genome-wide CRISPR knockout with cell sorting and single-cell analysis to build maps of cell mechanisms. The approach combines genome-wide gene knockout with cell sorting by target protein level and simultaneous reading of the knocked-out gene, RNA, and surface markers in each cell. In an experiment on melanoma cells, the authors reconstructed a regulatory network of 221 regulator genes and 1998 response genes, and deposited the code and computational pipelines in an open repository. The main obstacle in studying complex cellular processes remains the gap between arrays of genetic correlations and testable causal links. When biologists want to determine how each individual gene controls a trait, they have to choose between two extremes. The new Perturb-ME approach (Perturb-seq with Marker Enrichment) overcomes this limitation with a two-step design. First, genes are knocked out across the genome in a pool of cells using the CRISPR system. Then, the population is passed through a flow cytometer, selecting only the top and bottom 5% of cells with the minimum and maximum levels of the protein of interest. This step filters out cells without an expressed response and concentrates the effective mutations. Only after this cell sorting step are the cells sent for multimodal single-cell profiling. Within each cell, the guiding RNA, transcriptome, and level of surface proteins are read simultaneously using DNA-barcoded antibodies. The work of the method was verified using the example of the major histocompatibility complex I (MHC-I) in human melanoma cells, and the results were published in Nature Aging, July 2026. 🔗 Read original →

UK Clinical Trials The UK has published clinical trial metrics, with 82% of already open studies recruiting participants on schedule, but launch after approval is lagging. On August 19, the UK's Department of Health and Social Care published July metrics for the UKCRD program, which tracks clinical trial timelines. The program measures the path from application to first participant separately, including the stages of regulatory and ethics committee approval, research center opening, and first participant enrollment. The 82% metric describes recruitment in already open studies, while launch after approval is measured by separate metrics. In the CPMS registry, a database of the UK's National Institute for Health and Care Research network, there were 4,347 open studies in July, with 82% of them recruiting on schedule and reaching target participant numbers, exceeding the 80% goal. The UKCRD has been publishing these metrics since 2024. For commercial drug trials, a 150-day metric covers the entire path from application to first participant, with all nine January-submitted studies meeting this timeline. After approval, the report tracks two more stages: 56% of studies opened recruitment within 60 days, and 61% enrolled their first participant within 30 days of opening recruitment, with a 90% goal for both stages, as reported in the UKCRD July metrics. 🔗 Read original →

Virtual Gene Knockout The authors of a preprint compared eight methods that attempt to predict the consequences of gene knockout based on single-cell RNA data. In a test on K562 leukemia cells, the direction predicted by the linear version of CellOracle matched the experiment in 18 out of 44 "transcription factor — gene" pairs. The data on single-cell RNA shows which genes are usually active together, allowing researchers to build a hypothesis about the regulatory network and choose a gene for the next experiment. The actual gene knockout answers a different question: how will the work of each specific gene change after intervention. The authors tested four transcription factors — proteins that control the work of other genes — and 11 glycolysis genes, the first stage of a cell obtaining energy from glucose. In Perturb-seq, researchers use CRISPRi to suppress the work of a selected gene and then read the RNA of individual cells. The average activity of these 11 genes decreased in all four factors. The measurements were then compared to the signs of coefficients in the linear version of CellOracle. The sign of the coefficient describes the relationship between genes in the RNA data, and CRISPRi shows their response to intervention. The directions matched in 18 out of 44 cases, as reported in the preprint of August 19. 🔗 Read original →

AI Model Helps Find Gene Researchers combined an AI model with data on gene activity in individual blood stem cells, genetic regulator testing, and cell transplantation in mice. They found that the Pbx1 gene is involved in the age-related shift: after transplantation, old cells are less effective at restoring erythrocytes and more likely to produce thrombocyte precursors. The study, published on August 21 in Science Advances, used the Geneformer AI model to identify the Pbx1 gene as a key regulator of this shift. The model was trained on ten datasets of young and old mouse HSC cells and used to predict which genes, when activated, would make young cells resemble old cells. The team then tested the prediction in cells by activating 143 genetic regulators associated with blood formation in young HSC cells and tracking the CD48 marker. They found that increased Pbx1 activity slowed the appearance of CD48, and that its activity was higher in old HSC cells. 🔗 Read original →

Mambbot Project Molecular biologist Майкл Левин proposes using a series of AI-driven experiments to search for the desired form of living tissue. On 21 августа, he released a lecture on "free lunches," where he describes Mambbot, a collaborative project that uses AI to suggest light, vibration, temperature, or chemical signals to apply to cells to search for a biobot with a specific form and function. The concept of a "free lunch" refers to the gap between what a system provides and the effort explicitly invested in it through design, selection, or training. According to Levin, this gap defines the next experiment: what property of the system produced the result, and how can it be induced again. This idea grows out of his laboratory's long-standing work at Университете Тафтса on morphogenesis, or how cellular collectives assemble, repair, and change body shape. In a 2021 article, the authors described ksenobots, mobile constructs made from frog embryo cells. These clusters assembled free cells into new clusters, and an algorithm selected forms that reproduced better. In work on anthrobots, adult human airway cells self-organized into mobile constructs, and in neural cultures, they accelerated the closure of damaged areas. These results provided researchers with a material in which to observe the form and function of cellular collectives after changing conditions. 🔗 Read original →

Gene Regulator Found Researchers have discovered that the NHR-49 gene regulator in worms prevents egg cells from maturing without sperm and preserves the organism's reserve. On August 22, the journal Nature Communications published an article on how nutrition is linked to the decision to expend resources on reproduction in the roundworm C. elegans. When the nhr-49 gene was disrupted, egg cells matured and were released without sperm, causing the organism to lose its yolk and fat reserves, and its lifespan was reduced. In C. elegans, sperm serve as a signal to initiate reproduction, and without this signal, egg cells remain in the oviduct. A 2025 study by the same group found that sperm-free lines at 25 °C accumulated more fat and lived longer. The current article seeks to identify the molecular mechanism that maintains this waiting state, which was found to be NHR-49, a protein that regulates genes related to nutrition and fat metabolism. 🔗 Read original →

AI Research Evaluation Authors propose evaluating AI researchers based on a trail of research decisions. On August 18, nine authors posted a framework for assessing scientific AI agents on ChemRxiv, a preprint repository. The framework's unit is the "discovery episode": a preserved sequence of hypotheses, actions, data, and revisions. The authors suggest evaluating the entire sequence, including episodes of discovery, which record what was known before the next step, the action chosen by the agent, what was observed, and how the plan changed afterwards. For each step, the episode records the code version, instrument settings, human involvement, and safety rules. The framework breaks down research work into three connected parts: hypothesis, execution, and interpretation. The authors advise starting with limited tasks, which have a clear goal, can be automatically evaluated, and fit within acceptable time and cost. The separate stages can then be connected into episodes and tested through independent repetition, allowing the evaluator to trace the path from decision to data and the next question, as published in ChemRxiv. 🔗 Read original →