Journal of Ethnopharmacology, Journal Year: 2024, Volume and Issue: 339, P. 119105 - 119105
Published: Nov. 22, 2024
Language: Английский
Journal of Ethnopharmacology, Journal Year: 2024, Volume and Issue: 339, P. 119105 - 119105
Published: Nov. 22, 2024
Language: Английский
Cell, Journal Year: 2024, Volume and Issue: 187(22), P. 6358 - 6378.e29
Published: Sept. 12, 2024
Language: Английский
Citations
51Nature Aging, Journal Year: 2024, Volume and Issue: 4(4), P. 464 - 482
Published: April 15, 2024
Language: Английский
Citations
27Nature Aging, Journal Year: 2025, Volume and Issue: unknown
Published: March 3, 2025
Testicular aging is associated with declining reproductive health, but the molecular mechanisms are unclear. Here we generate a dataset of 214,369 single-cell transcriptomes from testicular cells 35 individuals aged 21–69, offering resource for studying and physiology. Machine learning analysis reveals stronger response in somatic compared to germ cells. Two waves aging-related changes identified: first peritubular donors their 30s, marked by increased basement membrane thickness, indicating priming state aging. In 50s, exhibit functional changes, including altered steroid metabolism Leydig immune responses macrophages. Further analyses reveal impact body mass index on spermatogenic capacity as age progresses, particularly after 45. Altogether, our findings illuminate alterations during testis relationship index, providing foundation future research potential diagnostic markers therapeutic targets. To enhance understanding human testis, authors provide map characteristics throughout lifespan. Using samples donors, they identify two examine interactions between index.
Language: Английский
Citations
2Protein & Cell, Journal Year: 2024, Volume and Issue: 15(8), P. 575 - 593
Published: March 14, 2024
Epigenetic clocks are accurate predictors of human chronological age based on the analysis DNA methylation (DNAm) at specific CpG sites. However, a systematic comparison between data and other omics datasets has not yet been performed. Moreover, available DNAm with limited ethnic representation. To address these knowledge gaps, we generated analyzed from two independent Chinese cohorts, revealing age-related changes. Additionally, aging clock (iCAS-DNAmAge) group DNAm-based multi-modal for individuals were developed, most them demonstrating strong predictive capabilities age. The further employed to predict factors influencing rates. clock, derived features (compositeAge-DNAmAge), exhibited close association multi-omics changes, lifestyles, disease status, underscoring its robust potential precise biological assessment. Our findings offer novel insights into regulatory mechanism changes extend application measuring pace, providing basis evaluating intervention strategies.
Language: Английский
Citations
15Cell, Journal Year: 2024, Volume and Issue: 187(24), P. 7025 - 7044.e34
Published: Nov. 1, 2024
Language: Английский
Citations
15Ageing Research Reviews, Journal Year: 2024, Volume and Issue: 95, P. 102245 - 102245
Published: Feb. 23, 2024
The human female reproductive lifespan significantly diminishes with age, leading to decreased fertility, reduced fertility quality and endocrine function disorders. While many aspects of aging in general have been extensively documented, the precise mechanisms governing programmed system remain elusive. Recent advancements omics technologies computational capabilities facilitated emergence multiomics deep phenotyping. Through application refinement various high-throughput methods, a substantial volume data has generated, deepening our comprehension pathogenesis molecular underpinnings aging. This review highlights current emerging approaches for investigating aging, encompassing genomics, epigenomics, transcriptomics, proteomics, metabolomics, microbiomics. We elucidate their influence on fundamental cell biology translational research context address limitations challenges associated studies, offer glimpse into future prospects.
Language: Английский
Citations
10Human Reproduction Update, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 20, 2025
Ovarian aging occurs earlier than the of many other organs and has a lasting impact on women's overall health well-being. However, effective interventions to slow ovarian remain limited, primarily due an incomplete understanding underlying molecular mechanisms drug targets. Recent advances in omics data resources, combined with innovative computational tools, are offering deeper insight into complexities aging, paving way for new opportunities discovery development. This review aims synthesize expanding multi-omics data, spanning genome, transcriptome, proteome, metabolome, microbiome, related from both tissue-level single-cell perspectives. We will specially explore how analysis these emerging datasets can be leveraged identify novel targets guide therapeutic strategies slowing reversing aging. conducted comprehensive literature search PubMed database using range relevant keywords: age at natural menopause, premature insufficiency (POI), diminished reserve (DOR), genomics, transcriptomics, epigenomics, DNA methylation, RNA modification, histone proteomics, metabolomics, lipidomics, single-cell, genome-wide association studies (GWAS), whole-exome sequencing, phenome-wide (PheWAS), Mendelian randomization (MR), epigenetic target, machine learning, artificial intelligence (AI), deep multi-omics. The was restricted English-language articles published up September 2024. Multi-omics have uncovered key driving including damage repair deficiencies, inflammatory immune responses, mitochondrial dysfunction, cell death. By integrating researchers critical regulatory factors across various biological levels, leading potential Notable examples include genetic such as BRCA2 TERT, like Tet FTO, metabolic sirtuins CD38+, protein BIN2 PDGF-BB, transcription FOXP1. advent cutting-edge technologies, especially technologies spatial provided valuable insights guiding treatment decisions become powerful tool aimed mitigating or As technology advances, integration AI models holds more accurately predict candidate convergence offers promising avenues personalized medicine precision therapies, tailored Not applicable.
Language: Английский
Citations
1Trends in Endocrinology and Metabolism, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 1, 2025
Language: Английский
Citations
1Trends in Endocrinology and Metabolism, Journal Year: 2024, Volume and Issue: unknown
Published: Aug. 1, 2024
Language: Английский
Citations
5Cancer Letters, Journal Year: 2025, Volume and Issue: unknown, P. 217569 - 217569
Published: Feb. 1, 2025
Language: Английский
Citations
0