If you aren’t where you want to be, change yourself

This 2021 human study evaluated associations among epigenetic clocks and socioeconomic status: “We conducted a comprehensive, comparative analysis of associations between various dimensions of socioeconomic status (SES) (education, income, wealth, occupation, neighbourhood environment, and childhood SES) and eight epigenetic clocks in two well-powered US ageing studies: The Multi-Ethnic Study of Atherosclerosis (MESA); and The Health … Continue reading If you aren’t where you want to be, change yourself

Smoke and die early, while your twin lives on

A 2021 human twin study investigated epigenetic clocks: “This study showed that accelerated epigenetic aging is associated with increased mortality, and smoking plays a role in explaining this association. Present findings suggest that DNAm GrimAge is a strong predictor of mortality independent of genetic influences among female twin pairs. An invitation to participate in the … Continue reading Smoke and die early, while your twin lives on

Clearing out the 2020 queue of interesting papers

I’ve partially read these 39 studies and reviews, but haven’t taken time to curate them. Early Life Intergenerational Transmission of Cortical Sulcal Patterns from Mothers to their Children (not freely available) Differences in DNA Methylation Reprogramming Underlie the Sexual Dimorphism of Behavioral Disorder Caused by Prenatal Stress in Rats Maternal Diabetes Induces Immune Dysfunction in … Continue reading Clearing out the 2020 queue of interesting papers

Part 2 of Reversal of aging and immunosenescent trends with sulforaphane

Reversal of aging and immunosenescent trends with sulforaphane covered only the first 13 minutes of a super informative presentation by the lead researcher of clinical trial Reversal of aging and immunosenescent trends.  Commonalities with sulforaphane research were found by PubMed searches of sulforaphane and each presentation topic, and used a 1/1/2015 publication date cutoff. Continuing … Continue reading Part 2 of Reversal of aging and immunosenescent trends with sulforaphane

A hair color anecdote

Will you excuse a poorly-evidenced observation that’s a positive development I left out of Week 8 of Changing to a youthful phenotype with broccoli sprouts? I got a haircut last weekend after waiting for Governor Klan Robes Blackface to not arrest barbershop and hair salon owners for the crime of earning a living. A thirty-something … Continue reading A hair color anecdote

Do epigenetic clocks measure causes or effects?

The founder of the PhenoAge epigenetic clock methodology authored this 2020 article: “The Ge[r]oscience paradigm suggests that targeting the aging process could delay or prevent the risk of multiple major age-related diseases. We need clinically valid measures of the underlying biological process and/or classification criteria for what it means to be biologically, rather than chronologically, … Continue reading Do epigenetic clocks measure causes or effects?

An epigenetic clock review by committee

This 2019 worldwide review of epigenetic clocks was a semi-anonymous mishmash of opinions, facts, hypotheses, unwarranted extrapolations, and beliefs. The diversity of viewpoints among the 21 coauthors wasn’t evident. 1. Citations of the coauthors’ works seemed excessive, and they apologized for omissions. However: Challenge 5 was titled “Single-cell analysis of aging changes and disease” and … Continue reading An epigenetic clock review by committee

A strawman argument against epigenetic clocks

This 2019 review of epigenetic clocks by Washington cancer researchers ignored the elephant in the room: Their epigenetic drift paradigm is generally inapplicable to humans because the vast majority of our cells don’t divide/proliferate. They repeatedly returned to an argument for randomness as a cause for aging and disease: “A time-dependent stochastic event process, like … Continue reading A strawman argument against epigenetic clocks

Statistical inferences vs. biological realities

A 2019 UCLA study introduced a derivative of the epigenetic clock named GrimAge: “DNAm GrimAge, a linear combination of chronological age, sex, and DNAm-based surrogate biomarkers for seven plasma proteins and smoking pack-years, outperforms all other DNAm-based biomarkers, on a variety of health-related metrics. An age-adjusted version of DNAm GrimAge, which can be regarded as … Continue reading Statistical inferences vs. biological realities