Inflammaging Markers in the Extremely Cold Climate: A Case Study of Yakutian Population DOI Open Access
Alena Kalyakulina, Igor Yusipov, Elena Kondakova

et al.

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(24), P. 13741 - 13741

Published: Dec. 23, 2024

Yakutia is one of the coldest permanently inhabited regions in world, characterized by a subarctic climate with average January temperatures near −40 °C and minimum below −60 °C. Recently, we demonstrated accelerated epigenetic aging Yakutian population comparison to their Central Russian counterparts, residing considerably milder climate. In this paper, analyzed these cohorts from inflammaging perspective addressed two hypotheses: mismatch immunological profiles inflammatory Yakuts. We found that levels 17 cytokines displayed statistically significant differences mean values between groups (with minimal p-value = 2.06 × 10−19), 6 them are among 10 SImAge markers. five out six markers (PDGFB, CD40LG, VEGFA, PDGFA, CXCL10) had higher cohort, therefore, due positive chronological age correlation, might indicate trend toward aging. At same time, biological acceleration difference according clock was not detected because they similar CXCL9, CCL22, IL6, top contributing biomarkers SImAge. introduced an explainable deep neural network separate individual groups, resulting over 95% accuracy. The obtained results allow for hypothesizing specificity cytokine chemokine people living extremely cold climates, possibly reflecting effects long-term human (dis)adaptation conditions related risk developing number pathologies.

Language: Английский

Epigenetic Age Acceleration and Rheumatoid Arthritis: An NHANES-Based Analysis and Survival Prediction Models DOI

Yuhang Ou,

Zhihao Wang,

Yunbo Yuan

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 3, 2025

Abstract Objective: Epigenetic aging has been confirmed to be associated with the pathogenesis of rheumatoid arthritis (RA), however, its role in prognosis RA remains unclear. Methods: In this cross-sectional and prospective study, age acceleration participants National Health Nutrition Examination Survey (NHANES) were calculated Horvath’s clock, Hannum’s PhenoAge, GrimAge, GrimAge version 2 (GrimAge2). The association epigenetic risk mortality was assessed prediction models constructed. Results: Accelerated ageing increased hazard ratio 1.075 (95% CI 1.043 - 1.107, p<0.0001) for GrimAge2 (GrimAge2Accel) 1.064 (1.032 1.098, (GrimAgeAccel). GrimAge2Accel-based models, adjusted three groups covariates, excelled predicting 1-year, 10-year, 20-year survival area under curve 0.856 0.666 1.046), 0.871 (0.819 0.923), 0.898 (0.839 0.956), respectively. Conclusion: may play a harmfully promotive onset progression RA, could effectively predict patients. Further research is needed elucidate underlying mechanisms explore potential clinical implications.

Language: Английский

Citations

0
Linked emergence of racial disparities in mental health and epigenetic biological aging across childhood and adolescence DOI Creative Commons
Muna Aikins, Yayouk E. Willems, Deniz Fraemke

et al.

Molecular Psychiatry, Journal Year: 2025, Volume and Issue: unknown

Published: April 9, 2025

Language: Английский

Citations

0
Influence of race, ethnicity, and sex on the performance of epigenetic predictors of phenotypic traits DOI Creative Commons
Dennis Khodasevich, Nicole Gladish, Saher Daredia

et al.

Clinical Epigenetics, Journal Year: 2025, Volume and Issue: 17(1)

Published: April 9, 2025

Abstract Background DNA methylation-based predictors of phenotypic traits including leukocyte proportions, smoking activity, biological aging, and circulating levels plasma proteins are widely used as biomarkers in public health research. However, limited racial ethnic diversity research participants is an ongoing issue for epigenetics research, the potential downstream impacts training samples on performance epigenetic remains poorly understood. We examined chronological age (also known clocks), telomere length, cell within a diverse sample adult NHANES during 1999–2000 2001–2002 survey cycles, both overall stratified by self-reported race/ethnicity sex. utilized correlation coefficients median absolute errors (MAE) to judge predictor performance, bootstrapping multivariate regression assess significance differences between groups. Results All were significantly associated with their corresponding population, particularly high correlations clocks proportion estimates. Several significant observed racial/ethnic groups, protein predictors, reoccurring trend lower Mexican American non-Hispanic Black compared White participants. Sex-differences several also identified but not pronounced. Multivariate models indicated that disparities persisted after accounting predictions related sex, well further adjustment estimated proportions SES variables. Conclusions found evidence substantial each exhibiting at least one difference or MAE race, ethnicity,

Language: Английский

Citations

0
KoMethylNet: A Novel Epigenetic Clock Based on Neural Network Analysis of DNA Methylation Data and Epigenetic Age Acceleration in a Korean Population DOI

Dabin Yun,

Kyu‐Seon Oh, Xiaoxi Meng

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
The COVID-19 legacy: consequences for the human DNA methylome and therapeutic perspectives DOI Creative Commons
Carlo Gaetano, Sandra Atlante, Michela Gottardi Zamperla

et al.

GeroScience, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 5, 2024

Abstract The COVID-19 pandemic has left a lasting legacy on human health, extending beyond the acute phase of infection. This article explores evidence suggesting that SARS-CoV-2 infection can induce persistent epigenetic modifications, particularly in DNA methylation patterns, with potential long-term consequences for individuals’ health and aging trajectories. review discusses methylation-based biomarkers, such as clocks, to identify individuals at risk accelerated tailor personalized interventions. Integrating clock analysis into clinical management could mark new era treatment COVID-19, possibly helping clinicians understand patient susceptibility severe outcomes establish preventive strategies. Several valuable reviews address role epigenetics infectious diseases, including Sars-CoV-2 However, this provides an original overview current understanding dimensions offering insights implications pandemic. While acknowledging limitations data, we emphasize need future research unravel precise mechanisms underlying COVID-19-induced changes explore approaches target these modifications. Graphical Abstract: Impact landscape individual response Following infection, may develop either normal immune or aberrant one, cytokine storm. Both scenarios result long-lasting consequences, known “long COVID.” condition reshape by altering contributing “epigenetic drift.” drift, further influenced various factors, lead gene expression, functionality, disease susceptibility. One significant consequence drift is acceleration biological aging, which profoundly impact medical Created BioRender.com.

Language: Английский

Citations

0
Inflammaging Markers in the Extremely Cold Climate: A Case Study of Yakutian Population DOI Open Access
Alena Kalyakulina, Igor Yusipov, Elena Kondakova

et al.

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(24), P. 13741 - 13741

Published: Dec. 23, 2024

Yakutia is one of the coldest permanently inhabited regions in world, characterized by a subarctic climate with average January temperatures near −40 °C and minimum below −60 °C. Recently, we demonstrated accelerated epigenetic aging Yakutian population comparison to their Central Russian counterparts, residing considerably milder climate. In this paper, analyzed these cohorts from inflammaging perspective addressed two hypotheses: mismatch immunological profiles inflammatory Yakuts. We found that levels 17 cytokines displayed statistically significant differences mean values between groups (with minimal p-value = 2.06 × 10−19), 6 them are among 10 SImAge markers. five out six markers (PDGFB, CD40LG, VEGFA, PDGFA, CXCL10) had higher cohort, therefore, due positive chronological age correlation, might indicate trend toward aging. At same time, biological acceleration difference according clock was not detected because they similar CXCL9, CCL22, IL6, top contributing biomarkers SImAge. introduced an explainable deep neural network separate individual groups, resulting over 95% accuracy. The obtained results allow for hypothesizing specificity cytokine chemokine people living extremely cold climates, possibly reflecting effects long-term human (dis)adaptation conditions related risk developing number pathologies.

Language: Английский

Citations

0