
Resident physician @BIDMCpath @harvardmed| Molecular Genetic Pathology trained @MGBpathology| PhD @lab_hobbs @UTSW via @SaumyaDas_lab| Views are my own|
Boston, MA
Joined February 2010
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Avash Das, MBBS, PhD retweeted
Most human exercise studies can only sample a muscle and a blood draw. A new Cell atlas followed mice through 8 weeks of running and measured 22 tissues, 25,859 genes, 7,354 proteins, 1,628 metabolites, and the DNA methylation of 35,759 individual muscle nuclei. Nearly half the genes changed somewhere in the body.
We know exercise protects the whole body, but most of the evidence comes from muscle and blood, so we know little about what happens in the other organs. A map of every tissue could show where training acts and which organs respond differently by sex or time of day.
Researchers at the Salk Institute, led by @SatchinPanda, put mice on voluntary running wheels for 8 weeks and compared them with sedentary mice. “Voluntary” means the animals chose how much to run, which is closer to real exercise than forced treadmill work. The team then layered several kinds of measurement on the same animals.
That layering is called multi-omics. Each omic reads a different level of biology. Genes show which instructions are being switched on. Proteins are the molecules that do the work. Metabolites are the small chemicals those proteins process. DNA methylation (chemical tags on DNA that influence gene activity) shows how that switching is regulated.
Key points:
• 12,540 of 25,859 detected genes (48.5%) changed in at least one of the 22 tissues
• Running mice and sedentary mice had similar body weight and composition, so the changes were not just weight loss
• Of the 60 genes turned down in 10 or more tissues, 18 were involved in protein synthesis
• Three days of running changed more genes in muscle than 8 weeks did, which suggests repeated training dampens the acute response while keeping a core adaptive signature
• A 51-gene network signature separated trained from sedentary muscle across 26 outside datasets and 1,398 samples, including human data
Two results stood out to me.
First, timing. Most muscles responded more at night, when mice are active. The hypothalamus (a brain region that regulates hunger, temperature, and hormones), kidney, and lung responded more during the day, when mice rest. The same exercise appears to act on different organs at different times.
Second, sex. Male and female mice ran similar amounts, though females ran about 16% farther. Even so, exercise changed about 1,990 genes across five or more tissues in females, and 48% fewer in males. In female biceps femoris muscle, fast-glycolytic type IIB fibers (fibers built for short, powerful bursts) dropped by 35 percentage points. That shift showed up in the cell types and in the methylation data.
The paper never tests aging or lifespan, but one result points in that direction. The most consistent whole-body signal was a turn down in protein production. Beyond the 18 protein synthesis genes, several ubiquitin genes (the tags that mark proteins for breakdown) also fell. In females, ribosomal and proteasome genes dropped across muscle, liver, and heart, while males showed little of this. The authors read that as reduced protein turnover.
In single-nucleus muscle data, most mTOR pathway genes were lower too. mTOR is a growth-signaling hub that aging research has tied to lifespan in animals. But the list mixes drivers (Rptor, Rictor, Akt2) with brakes (Tsc1, Deptor), so gene expression alone can't say whether pathway activity went up or down.
This was a mouse model, so there are a lot of caveats. These were young, healthy mice on free-access chow, and the running mice were housed alone, which can change behavior and stress. Mouse physiology does not map cleanly onto humans. And a change in gene activity is not a health outcome. The atlas shows where the body responds, not which responses matter for disease or lifespan.
The human data used to test the 51-gene signature is encouraging, but it was a validation of the signature in muscle, not a test of the full atlas in people. Any use of this map to guide training, timing, or sex-specific advice is years away.
The value of the paper is the framework. Exercise is not a muscle event with side effects. It is a coordinated response across organs, with its own timing and its own sex differences.
If you want to understand what training does, you have to measure the whole body.
Avash Das, MBBS, PhD retweeted
Interventional murine and observational human studies implicate the restoration of intracellular taurine and mitigated NLRP3 inflammasome activation. Taurine is a dietary non-essential AA, synthesized from cysteine during ↓ food intake or when diets are largely plant based sciencedirect.com/science/ar… @CellCellPress
Avash Das, MBBS, PhD retweeted
Glycosylation is among the most important modifications in biology.
We know relatively little about glycobiology, because it is hard to study.
This Nat Rev Methods primer describes our best tools for analyzing glycosylation 🔽
Avash Das, MBBS, PhD retweeted
Identifying independent causal cell types for human diseases and risk variants.
Check out this study by Steven Gazal @USC & colleagues in @Cellgenomics #ASHG26 hubs.ly/Q04BHsTB0
Avash Das, MBBS, PhD retweeted
Disrupting the PNPLA3-ABHD5 Interaction Stimulates Lipolysis and Improves PNPLA3-I148M–Associated Hepatic Steatosis #MASLD @Diabetes_ADA diabetesjournals.org/diabete…
Avash Das, MBBS, PhD retweeted
Now online! Proteomic atlas of T cell exhaustion defines proteostatic collapse dlvr.it/TW2Xks
Avash Das, MBBS, PhD retweeted
Our new work by @YuyangLiu1996! Short-lived proteins are key regulators of metabolic homeostasis. By investigating their degradation, we identified TXNDC15 as a regulator of ER protein degradation and lipid homeostasis via a catalysis-independent mech. cell.com/cell-chemical-biolo…
Avash Das, MBBS, PhD retweeted
New! Online now: On the interpretation of diet-specific metabolic effects following weight loss dlvr.it/TW1bjx
Avash Das, MBBS, PhD retweeted
Weight loss during intermittent fasting, not Mediterranean diet quality alone, is associated with lower inflammation: A randomized controlled trial sciencedirect.com/science/ar…
Avash Das, MBBS, PhD retweeted
Heading to #AMP2026? Don’t miss the plenary presentations and awards ceremony!
@AMPath #MolPath #PrecisionMedicine
Avash Das, MBBS, PhD retweeted
New! Online now: Weight loss during intermittent fasting, not Mediterranean diet quality alone, is associated with lower inflammation: A randomized controlled trial dlvr.it/TW0rQh
Avash Das, MBBS, PhD retweeted
Gut-derived glucagon-like peptides attenuate T cell-induced intestinal injury
cell.com/cell-reports-medici…
Avash Das, MBBS, PhD retweeted
New online! Small variant calling in the era of long-read sequencing dlvr.it/TW0GMJ
Avash Das, MBBS, PhD retweeted
"I’m still not the person who has the loudest voice, or who speaks first or most frequently in a meeting. I still feel the urge to wait for perfect words. But I have become more willing to offer my voice." #ScienceWorkingLife scim.ag/4dGTutR
Avash Das, MBBS, PhD retweeted
📢 New review from the Zhang Lab in @naturemethods led by @AMMGest !
Explore recent advances in fluorescent proteins and biosensors, including improved photostability, high-throughput screening, quantitative imaging, and multiplexing.🔬 Check it out!
doi.org/10.1038/s41592-026-0…
Avash Das, MBBS, PhD retweeted
Useful chart: how long it takes different drugs to reach treatment targets in inflammatory bowel disease.
🆕Updated treatment targets in inflammatory bowel disease (STRIDE-III): an initiative of the International Organization for the Study of IBD
thelancet.com/journals/langa…
#GITwitter #IBD #MedTwitter #UEGWeek @my_ueg @IOIBD1 @DignassAxel
Avash Das, MBBS, PhD retweeted
Google has another banger 🤯
It’s called PaperBanana.
It turns your methodology text into academic illustrations, helping you explain your research visually.
100% free.
Avash Das, MBBS, PhD retweeted
Excited to share our new preprint! ChromE-seq reads 3D chromatin and gene expression in one cell. Across ~400,000 human primary cells, B lineage has the fewest chromatin loops and is most perturbed in trisomy 21, driving the B-cell block in Down syndrome.
biorxiv.org/content/10.64898…
Avash Das, MBBS, PhD retweeted
TM6SF2 acts at ER membrane contact sites to enable RAB7-dependent endolysosomal VLDL secretion and maintain Golgi structure dlvr.it/TVxRnq


































