CheekAge, a next-generation epigenetic buccal clock, is predictive of mortality in human blood DOI Creative Commons
Maxim N. Shokhirev, Daniel J. Kramer, Janie Corley

и другие.

Frontiers in Aging, Год журнала: 2024, Номер 5

Опубликована: Окт. 1, 2024

While earlier first-generation epigenetic aging clocks were trained to estimate chronological age as accurately possible, more recent next-generation incorporate DNA methylation information pertinent health, lifestyle, and/or outcomes. Recently, we produced a non-invasive clock using Infinium MethylationEPIC data from than 8,000 diverse adult buccal samples. this correlated with various and disease factors, did not assess its ability capture mortality. To address gap, applied CheekAge the longitudinal Lothian Birth Cohorts of 1921 1936. Despite missing nearly half CpG inputs, was significantly associated mortality in blood dataset. Specifically, change one standard deviation corresponded hazard ratio (HR) 1.21 (FDR q = 1.66e-6). performed better all tested displayed comparable HR next-generation, blood-trained DNAm PhenoAge (HR 1.23, 2.45e-9). understand relative importance each input blood, iteratively removed re-calculated overall association. The most significant effect came omitting cg14386193, which is annotated gene ALPK2 . Excluding site increased FDR value by threefold (to 4.92e-06). We additionally enrichment analyses top CpGs that impact their biology. Taken together, provide important validation for highlight novel underlie newly identified

Язык: Английский

Functions of the Muscleblind-like protein family and their role in disease DOI Creative Commons
Hui Zhou,

Jiachi Xu,

Lijian Pan

и другие.

Cell Communication and Signaling, Год журнала: 2025, Номер 23(1)

Опубликована: Фев. 18, 2025

Язык: Английский

Процитировано

1

Exploring the Impact of Microgravity on Gene Expression: Dysregulated Pathways and Candidate Repurposed Drugs DOI Open Access

Karina Galčenko,

Marilena M. Bourdakou, George M. Spyrou

и другие.

International Journal of Molecular Sciences, Год журнала: 2025, Номер 26(3), С. 1287 - 1287

Опубликована: Фев. 2, 2025

Space exploration has progressed from contemporary discoveries to current endeavors, such as space tourism and Mars missions. As human activity in accelerates, understanding the physiological effects of microgravity on body is becoming increasingly critical. This study analyzes transcriptomic data cell lines exposed microgravity, investigates its gene expression, identifies potential therapeutic interventions for health challenges posed by spaceflight. Our analysis identified five under-expressed genes (DNPH1, EXOSC5, L3MBTL2, LGALS3BP, SPRYD4) six over-expressed (CSGALNACT2, CSNK2A2, HIPK1, MBNL2, PHF21A, RAP1A), all which exhibited distinct expression patterns response microgravity. Enrichment highlighted significant biological functions influenced these conditions, while silico drug repurposing modulators that could counteract changes. introduces a novel approach addressing during missions existing drugs specific pathways biomarkers health. findings represent first systematic effort repurpose spaceflight, establishing foundation development targeted therapies astronauts. Future research should aim validate authentic environments explore broader impacts.

Язык: Английский

Процитировано

0

New insights into Smad3 in cardiac fibrosis DOI
Zhen Gao

Gene, Год журнала: 2025, Номер 952, С. 149418 - 149418

Опубликована: Март 14, 2025

Язык: Английский

Процитировано

0

DsbA-L activates TGF-β1/SMAD3 signaling and M2 macrophage polarization by stimulating AKT1 and NLRP3 to promote pulmonary fibrosis DOI Creative Commons
Juan Wang, Zhenkun Xia, Bei Qing

и другие.

Molecular Medicine, Год журнала: 2024, Номер 30(1)

Опубликована: Ноя. 23, 2024

Abstract Background Pulmonary fibrosis (PF) is a progressive and difficult-to-heal lung disease that poses significant threat to human life health. This study aimed investigate the potential pathological mechanisms of PF identify new avenues for treatment PF. Methods Clinical samples were collected assess effect disulfide-bond A oxidoreductase-like protein (DsbA-L) on TGF-β1-induced MLE-12 cell model bleomycin (BLM)-induced mice established. Changes in physiological morphology observed tissues. The degree apoptosis mitochondrial function was analyzed. expression relative cytokines examined. CD68 + /CD206 ratio determined indicate M2 macrophage polarization. Results DsbA-L upregulated patients with PF-like models. In vitro, overexpression exacerbated deposition extracellular matrix (ECM), apoptosis, inflammation, damage, whereas silencing exerted opposite effects. inhibited activation AKT1, NLRP3, SMAD3 by TGF-β1. cells limited polarization RAW264.7 towards phenotype. AKT1 agonist or NLRP3 reversed role inhibiting TGF-β1/SMAD3 pathway vivo, knockout protected from damage caused BLM. Conclusion exhibited profibrotic epithelial mice, which increased levels activate These findings could shed light clues comprehension

Язык: Английский

Процитировано

2

CheekAge, a next-generation epigenetic buccal clock, is predictive of mortality in human blood DOI Creative Commons
Maxim N. Shokhirev, Daniel J. Kramer, Janie Corley

и другие.

Frontiers in Aging, Год журнала: 2024, Номер 5

Опубликована: Окт. 1, 2024

While earlier first-generation epigenetic aging clocks were trained to estimate chronological age as accurately possible, more recent next-generation incorporate DNA methylation information pertinent health, lifestyle, and/or outcomes. Recently, we produced a non-invasive clock using Infinium MethylationEPIC data from than 8,000 diverse adult buccal samples. this correlated with various and disease factors, did not assess its ability capture mortality. To address gap, applied CheekAge the longitudinal Lothian Birth Cohorts of 1921 1936. Despite missing nearly half CpG inputs, was significantly associated mortality in blood dataset. Specifically, change one standard deviation corresponded hazard ratio (HR) 1.21 (FDR q = 1.66e-6). performed better all tested displayed comparable HR next-generation, blood-trained DNAm PhenoAge (HR 1.23, 2.45e-9). understand relative importance each input blood, iteratively removed re-calculated overall association. The most significant effect came omitting cg14386193, which is annotated gene ALPK2 . Excluding site increased FDR value by threefold (to 4.92e-06). We additionally enrichment analyses top CpGs that impact their biology. Taken together, provide important validation for highlight novel underlie newly identified

Язык: Английский

Процитировано

1