Biological Age Can Be Moved in Both Directions DOI

Khachik K. Muradian,

Vadim E. Fraifeld

Healthy ageing and longevity, Год журнала: 2024, Номер unknown, С. 97 - 110

Опубликована: Янв. 1, 2024

Язык: Английский

Glycine and aging: Evidence and mechanisms DOI Creative Commons
Adiv A. Johnson, Trinna Cuellar

Ageing Research Reviews, Год журнала: 2023, Номер 87, С. 101922 - 101922

Опубликована: Март 31, 2023

The restriction of calories, branched-chain amino acids, and methionine have all been shown to extend lifespan in model organisms. Recently, glycine was found boost longevity genetically heterogenous mice. This simple acid similarly extends rats improves health mammalian models age-related disease. While compelling data indicate that is a pro-longevity molecule, divergent mechanisms may underlie its effects on aging. Glycine abundant collagen, building block for glutathione, precursor creatine, an acceptor the enzyme N-methyltransferase (GNMT). A review literature strongly implicates GNMT, which clears from body by taking methyl group S-adenosyl-L-methionine methylating form sarcosine. In flies, Gnmt required reduced insulin/insulin-like growth factor 1 signaling dietary fully lifespan. geroprotector spermidine requires upregulate autophagy genes longevity. Moreover, overexpression sufficient reduce levels. Sarcosine, or methylglycine, declines with age multiple species capable inducing both vitro vivo. Taken together, existing evidence suggests prolongs life mimicking activating autophagy.

Язык: Английский

Процитировано

23

CheekAge: a next-generation buccal epigenetic aging clock associated with lifestyle and health DOI Creative Commons
Maxim N. Shokhirev, Nicole S. Torosin, Daniel J. Kramer

и другие.

GeroScience, Год журнала: 2024, Номер 46(3), С. 3429 - 3443

Опубликована: Март 5, 2024

Abstract Epigenetic aging clocks are computational models that predict age using DNA methylation information. Initially, first-generation were developed to make predictions CpGs change with age. Over time, next-generation created relate both and health. Since existing constructed in blood, we sought develop a clock optimized for prediction cheek swabs, which non-invasive easy collect. To do this, collected MethylationEPIC data as well lifestyle health information from 8045 diverse adults. Using novel simulated annealing approach allowed us incorporate factors into training combination of CpG filtering, clustering, ensembling, CheekAge, an epigenetic has strong correlation age, displays high test–retest reproducibility across replicates, significantly associates plethora factors, such BMI, smoking status, alcohol intake. We validated CheekAge internal dataset multiple publicly available datasets, including samples patients progeria or meningioma. In addition exploring the underlying biology clock, provide free online tool allows users mine our methylomic

Язык: Английский

Процитировано

8

Various diseases and conditions are strongly associated with the next-generation epigenetic aging clock CheekAge DOI Creative Commons
Maxim N. Shokhirev, Adiv A. Johnson

GeroScience, Год журнала: 2025, Номер unknown

Опубликована: Март 7, 2025

Epigenetic aging clocks represent contemporary biomarkers that predict age using methylomic data. These models can be categorized as first-generation estimate chronological or next-generation are designed to associate with health, lifestyle, and/or outcomes. Recently, we created a buccal clock called CheekAge associates all-cause mortality risk in older adults. To better understand our model, collated 25 Infinium MethylationEPIC datasets the Gene Expression Omnibus database and analyzed ability of five other well-known distinct health disease signals. outcompeted every tested by significantly associating total 33 different variables, including human immunodeficiency virus, major depressive disorder, psychological trauma, prediabetes, body mass index, non-alcoholic fatty liver disease, pulmonary fibrosis, exposure chemical endocrine disruptor PBB-153, various cancers tumors. Of six tested, outperformed clocks. underlying biology CheekAge, iteratively removed CpG inputs identify DNA methylation sites promoted antagonized each association. Finally, performed detailed enrichment analyses on these unveil overrepresented biological processes transcription factor targets.

Язык: Английский

Процитировано

0

A Sex-Specific Minimal CpG-Based Model for Biological Aging Using ELOVL2 Methylation Analysis DOI Open Access
José Santiago Ibáñez-Cabellos, Juan Sandoval, Federico V. Pallardó

и другие.

International Journal of Molecular Sciences, Год журнала: 2025, Номер 26(7), С. 3392 - 3392

Опубликована: Апрель 4, 2025

Significant deviations between chronological and biological age can signal the early risk of chronic diseases, driving need for tools that accurately determine age. While DNA methylation-based clocks have demonstrated strong predictive power aging determination, their clinical application is limited by several barriers including high costs, to analyze hundreds methylation sites using sophisticated platforms lack standardized measurement protocols. In this study, we developed a multivariate linear model analysis eight CpGs within promoter region very long chain fatty acid elongase 2 gene (ELOVL2). The generated predicts with mean absolute error (MAE) 5.04, providing simplified, cost-effective alternative more complex clocks. Additionally, identified sex-specific clocks, achieving MAEs 4.37 males 5.38 females, highlighting sex-related molecular differences in during aging. Our minimal CpG-based clock offers practical solution estimating age, potential applications practice assessing age-related disease risks personalized healthcare interventions.

Язык: Английский

Процитировано

0

Epigenetics, Microbiome and Personalized Medicine: Focus on Kidney Disease DOI Open Access

Giuseppe Gigliotti,

Rashmi Joshi,

Anam Khalid

и другие.

International Journal of Molecular Sciences, Год журнала: 2024, Номер 25(16), С. 8592 - 8592

Опубликована: Авг. 6, 2024

Personalized medicine, which involves modifying treatment strategies/drug dosages based on massive laboratory/imaging data, faces large statistical and study design problems. The authors believe that the use of continuous multidimensional such as those regarding gut microbiota, or binary systems properly transformed into a variable, epigenetic clock, offer an advantageous scenario for trials personalized medicine. We will discuss examples focusing kidney diseases, specifically IgA nephropathy. While dysbiosis can provide strategy to restore standard microbiota using probiotics, transforming omics data clocks offers promising tool acute chronic disease care. Epigenetic involve complex transformation DNA methylome estimated biological age. These identify people at high risk developing problems even before symptoms appear. Some effects both clock diseases seem be mediated by endothelial dysfunction. “big data” (epigenetic microbiota) help tailor plans pinpointing patients likely experience rapid declines who might not need overly aggressive therapies.

Язык: Английский

Процитировано

3

The Latent Aging of Cells DOI Creative Commons

Peter Niimi,

Victoria Gould,

Kyra Thrush

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Май 30, 2024

Abstract As epigenetic clocks have evolved from powerful estimators of chronological aging to predictors mortality and disease risk, it begs the question what role DNA methylation plays in process. We hypothesize that while has potential serve as an informative biomarker, could also be a key understanding biology entangled between aging, (de)differentiation, reprogramming. Here we use unsupervised approach analyze time associated both vivo vitro samples measure underlying signal ties these phenomena together. identify pattern shared across all three, well tracks tissues but appears refractory reprogramming, suggesting reprogramming may not fully mirrored processes.

Язык: Английский

Процитировано

1

Biological Age Can Be Moved in Both Directions DOI

Khachik K. Muradian,

Vadim E. Fraifeld

Healthy ageing and longevity, Год журнала: 2024, Номер unknown, С. 97 - 110

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0