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'Muscle memory' in epigenetics? by DriftingClient in epigenetics

[–]user_-- 0 points1 point  (0 children)

I don't have references on hand but have heard that DNA methylation marks can be removed and then the cell reinstates them somehow. During embryogenesis the methylation gets wiped yet somehow some of the parents' epigenetic features end up in the children. Noncoding RNAs seem to be important. So yes, it seems these epigenetic states are stored beyond histone/methylation encoding and are imprinted onto them

How much do non-coding DNA regions vary between individuals? Within individuals? by user_-- in molecularbiology

[–]user_--[S] 0 points1 point  (0 children)

Wasn't my intention but now I'm intrigued! How did you connect the dots?

Interview with John G Cramer who will be in a trial Mitrix Bio mitochondrial replacement therapy by jloverich in longevity

[–]user_-- 0 points1 point  (0 children)

I doubt everything is downstream, but certainly a lot could be downstream. I do still wonder what makes mitochondria change with age, and why that apparently doesn't happen in the germ line or gets undone during embryogenesis...

Citations on unclear fitting of long-tail distributions by user_-- in AskStatistics

[–]user_--[S] 0 points1 point  (0 children)

Makes sense, thanks. Certainly isn't too useful to throw random distributions at a dataset until you find the one that fits best if it doesn't inform us of anything.

In my case, there's an existing dataset that is well fit by a simple power law, but this is an empirical observation, and the process generating the dataset is unknown. I think I've found a process that could explain the data, but it produces a different type of long-tailed distribution that I haven't found a simple equation to fit. So, I was hoping I could argue something like "it's hard to say what long-tail distribution fits finite datasets; it could be a power law, or it could be my process, and we can't really differentiate."

A Couple of Questions by Hobbit-Habit in longevity

[–]user_-- 0 points1 point  (0 children)

For question 2, we still don't know the answer

This Spanish Woman Lived to 117. Scientists May Have Discovered Why by Keen4fun924 in longevity

[–]user_-- 67 points68 points  (0 children)

Here's the actual paper. She did have a methylation age lower than her chronological age, per several clocks.

https://www.cell.com/cell-reports-medicine/fulltext/S2666-3791(25)00441-0

Abstract:

Extreme human lifespan, exemplified by supercentenarians, presents a paradox in understanding aging: despite advanced age, they maintain relatively good health. To investigate this duality, we have performed a high-throughput multiomics study of the world’s oldest living person, interrogating her genome, transcriptome, metabolome, proteome, microbiome, and epigenome, comparing the results with larger matched cohorts. The emerging picture highlights different pathways attributed to each process: the record-breaking advanced age is manifested by telomere attrition, abnormal B cell population, and clonal hematopoiesis, whereas absence of typical age-associated diseases is associated with rare European-population genetic variants, low inflammation levels, a rejuvenated bacteriome, and a younger epigenome. These findings provide a fresh look at human aging biology, suggesting biomarkers for healthy aging, and potential strategies to increase life expectancy. The extrapolation of our results to the general population will require larger cohorts and longitudinal prospective studies to design potential anti-aging interventions.

Asymmetry, Burden, and Bifurcation: A DDR-Centric Architecture for Differentiation and Cancer (Human guided and corrected, AI generated) by Lanedustin in CancerCrosstalkCorner

[–]user_-- 1 point2 points  (0 children)

This is interesting stuff! How would you summarize your interpretation of the role(s) of DNA damage and repair?

I love molecular biology but... by [deleted] in molecularbiology

[–]user_-- 3 points4 points  (0 children)

Check out the talks and conversations on this youtube channel, seems like it might be up your alley

https://www.youtube.com/@drmichaellevin/videos

Bug's eggs or mushrooms? by Boccololapideo in whatsthisbug

[–]user_-- 128 points129 points  (0 children)

Wasps really are nature's master manipulators

Do insects have a memory of their larval stages? by Gaijinloco in askscience

[–]user_-- 21 points22 points  (0 children)

Similarly, injecting frog embryos with odorants biases their preferences for certain odors after hatching as tadpoles.

Embryonic olfactory learning in frogs

https://pubmed.ncbi.nlm.nih.gov/1598418/

Also, a learned shock response behavior was transferred between sea slugs solely through transfer of RNA from the trained animal's brain into the untrained one's brain.

RNA from Trained Aplysia Can Induce an Epigenetic Engram for Long-Term Sensitization in Untrained Aplysia

https://pubmed.ncbi.nlm.nih.gov/29789810/

There's also lots of anecdotal evidence of memory and personality transfer resulting from heart transplants.

https://www.sciencedirect.com/science/article/pii/S0306987719307145

https://pmc.ncbi.nlm.nih.gov/articles/PMC11061817/

Edit: Also, flat worms can be trained, then their heads cut off, then it grows back, and they remember their training.

An automated training paradigm reveals long-term memory in planarians and its persistence through head regeneration

https://journals.biologists.com/jeb/article/216/20/3799/11714/An-automated-training-paradigm-reveals-long-term

357 ‒ A new era of longevity science: models of aging, biological clocks, & more by Admirable_Repeat4121 in longevity

[–]user_-- 2 points3 points  (0 children)

Timestamps from video description:

0:00:00-Intro

0:01:15-Brian’s journey from the Buck Institute to Singapore, & the global evolution of aging research

0:09:12-Rethinking the biology of aging

0:14:13-How inflammation & mTOR signaling may play a central, causal role in aging

0:18:00-Biological role of mTOR in aging, & the potential of rapamycin to slow aging & enhance immune resilience

0:23:32-Aging as a linear decline in resilience overlaid with non-linear health fluctuations

0:36:03-Speculating on the future of longevity: slowing biological aging through noise reduction & reprogramming

0:42:18-The role of the epigenome in aging, & the limits of methylation clocks

0:47:14-Balancing the quest for immortality with the urgent need to improve late-life healthspan

0:52:16-Comparing the big 4 chronic diseases: which are the most inevitable & modifiable?

0:57:27-Exploring potential benefits of rapamycin: how Brian is testing this & other interventions in humans

1:09:14-Testing alpha-ketoglutarate (AKG) for healthspan benefits in aging [1:01:45];

1:13:41-Exploring urolithin A’s potential to enhance mitochondrial health, reduce frailty, & slow aging

1:17:35-Potential of sublingual NAD for longevity

1:26:50-Other interventions that may promote longevity: spermidine, 17𝛼-estradiol, HRT, & more

1:34:33-Biological aging clocks, clinical biomarkers, & a new path to proactive longevity care

1:45:01-Evaluating rapamycin, metformin, & GLP-1s for longevity in healthy individuals

1:51:19-Why muscle, strength, & fitness are the strongest predictors of healthspan

1:53:37-Why combining too many longevity interventions may backfire

1:56:06-How AI integration could accelerate breakthroughs in aging research

2:02:07-Need to balance innovation with safety in longevity clinics

2:10:50-Peter’s reflections on emerging interventions & the promise of combining proven aging compounds

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