Tuo Zhang, Jin Niu, Lu Yang ...
· DEAD-box RNA Helicases
· Prenatal Diagnosis Center in Guizhou Province, the Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou 550025, China; Transformation Engineering Research Center of Chronic Disease Diagnosis and Treatment, Department of Physiology, College of Basic Medicine, Guizhou Medical University, Guiyang, Guizhou 550025, China; Guizhou Institute of Precision Medicine, the Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou 550025, China; Reproductive Medicine Center, Department of Obstetrics and Gynecology, the Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou 550025, China; Center for Reproductive Medicine, Shandong University, Jinan, Shandong 250012, China. Electronic address: zhangyt7788@163.com.
· pubmed
Arsenic, a widespread environmental toxicant, is increasingly implicated in female reproductive dysfunction. Long-term exposure to low concentrations of arsenic leads to diminished ovarian reserve. However, the mechanisms by which arsenic exposure accelerates ovarian aging remain...
Arsenic, a widespread environmental toxicant, is increasingly implicated in female reproductive dysfunction. Long-term exposure to low concentrations of arsenic leads to diminished ovarian reserve. However, the mechanisms by which arsenic exposure accelerates ovarian aging remain unclear. Here, we demonstrate that arsenic exposure induces widespread disruption of pre-mRNA splicing programs in granulosa cells, and these aberrantly spliced genes are predominantly responsible for maintaining genomic stability. Arsenic exposure induces proteasomal degradation of the RNA helicase DDX5 through the UBE3A-mediated ubiquitin-proteasome pathway. Loss of DDX5 impairs the alternative splicing of FANCA, a core gene in the Fanconi anemia pathway, resulting in the production of a truncated isoform. This aberration leads to the excessive accumulation of R-loops and γH2AX-marked DNA damage in ovarian granulosa cells. Consequently, arsenic-exposed mice exhibit hallmark features of premature ovarian aging. Our findings establish the DDX5-FANCA axis as a novel paradigm in which environmental toxins dysregulate RNA splicing, driving reproductive aging through R-loops-mediated genomic instability. These insights highlight splice-switching therapies as a promising strategy to counteract pollutant-induced fertility decline.
Longevity Relevance Analysis
(5)
Arsenic exposure disrupts DDX5-mediated FANCA splicing, leading to ovarian aging through genomic instability. This paper is relevant as it explores the mechanisms by which environmental toxins can accelerate aging processes, specifically in the context of ovarian function, which is a critical aspect of reproductive aging.
Ruiqing Chen, Qiongye Dong, Lihong Zhou ...
· Hematopoietic Stem Cells
· State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China; School of Pharmaceutical Sciences, Tsinghua University, Beijing 100084.
· pubmed
Aging-related accumulation of DNA damage adversely affects hematopoietic stem cell (HSC). However, the mechanisms underlying this accumulation and strategies for its elimination to rejuvenate aged HSC remain largely obscure. This study uncovers a notable surge in R-Loop presence ...
Aging-related accumulation of DNA damage adversely affects hematopoietic stem cell (HSC). However, the mechanisms underlying this accumulation and strategies for its elimination to rejuvenate aged HSC remain largely obscure. This study uncovers a notable surge in R-Loop presence within aged HSC, notably co-localized with γH2AX and replication protein A (RPA), and correlated with RNA residency in the nucleus. Targeted induction of R-Loop impairs the function of HSC. Mechanistically, RNA exportation is compromised in aged HSC due to a decline in Alyref, the primary constituent of the transcription- export complex (TREX). Specifically, Alyref dysfunction results in RNA retention within the nucleus, mimicking the functional characteristics of aged HSC. The nuclear accumulation of RNA leads to the formation of RNA:DNA hybrids, known as R-Loop structures, consequently inducing replication stress and DNA damage. Introducing a quantitative boost of Alyref in aged HSC notably reinstates RNA transportation, diminishes R-Loop formation and replication stress, and ultimately enhances the performance of aged HSC. Taken together, our research demonstrates the initial revelation that aging-triggered replication stress stems from abnormal RNA transportation-propelled R-Loop configurations, hinting at the potential of quantitatively modulating RNA transportation to mitigate the physiological drawbacks of aging on HSC.
Longevity Relevance Analysis
(5)
The paper claims that aging-induced decline in RNA exportation leads to R-loop formation, which impairs hematopoietic stem cell function. This research addresses a potential root cause of aging-related decline in stem cell function, contributing to the understanding of mechanisms underlying aging and potential interventions.
Shindyapina, A. V., Tyshkovskiy, A., Bozaykut, P. ...
· systems biology
· Brigham and Women\'s Hospital, Harvard Medical School, Boston, MA 02115, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
· biorxiv
Longevity interventions in mammals are typically discovered on a case-by-case basis, hindering systematic geroprotector development. We developed a platform for the identification of longevity interventions integrating longevity gene expression biomarkers within and across specie...
Longevity interventions in mammals are typically discovered on a case-by-case basis, hindering systematic geroprotector development. We developed a platform for the identification of longevity interventions integrating longevity gene expression biomarkers within and across species, in silico chemical screening, analyses of selected compounds in cell culture, short-term dietary interventions coupled with omics profiling, and ultimately lifespan studies in mice. This approach identified compounds (selumetinib, vorinostat, celastrol, AZD-8055, LY-294002) that extended lifespan and/or healthspan in aged C57BL/6JN male mice, with limited effects in females. In addition, selumetinib and vorinostat increased lifespan when administered to young, genetically heterogeneous UM-HET3 mice. Our biomarker-driven platform accelerates geroprotector discovery, offering a scalable approach to target conserved longevity pathways.
Longevity Relevance Analysis
(5)
The paper claims that a biomarker-driven platform can identify compounds that extend lifespan and healthspan in mice. This research is relevant as it addresses the root causes of aging by discovering geroprotectors that target conserved longevity pathways, rather than merely treating age-related diseases.
Quill, Q., Agarwal, V., Li, O. ...
· geriatric medicine
· Biostate AI
· medrxiv
Transcriptomic age prediction has emerged as a powerful approach for understanding biological aging processes, yet systematic comparisons of large-scale RNA-sequencing datasets remain limited. We developed and validated a mixture-of-experts machine learning model using the ARCHS4...
Transcriptomic age prediction has emerged as a powerful approach for understanding biological aging processes, yet systematic comparisons of large-scale RNA-sequencing datasets remain limited. We developed and validated a mixture-of-experts machine learning model using the ARCHS4 dataset comprising 56,877 human RNA-sequencing samples spanning ages 2-114 years across diverse tissues. Our model achieved superior performance (MAE = 7.58 years) compared to traditional approaches, with tissue-specific variations revealing lung and brain as optimal predictors while liver showed reduced accuracy. Feature importance analysis identified FOSB as the dominant age predictor (importance = 1.00), followed by complement component C4B_2 (0.95), long non-coding RNA PAX8-AS1 (0.85), mitochondrial gene MT-RNR2 (0.64), and glial marker GFAP (0.53), collectively representing stress response, immunosenescence, epigenetic regulation, mitochondrial dysfunction, and neuroinflammation pathways. Residual analysis revealed heteroscedasticity with prediction variance increasing from +-5 years in young adults to +-40 years in centenarians, indicating systematic model limitations at extreme ages. Comparison with David Sinclair's epigenetic clock approaches demonstrates that transcriptomic models achieve comparable accuracy while providing unique insights into tissue-specific aging mechanisms unavailable in blood-based methylation clocks. These findings establish transcriptomic age prediction as a complementary tool to epigenetic clocks, enabling precision aging medicine through identification of accelerated aging signatures and therapeutic targets across the human lifespan.
Longevity Relevance Analysis
(5)
The paper claims that a mixture-of-experts machine learning model can predict transcriptomic age with tissue-specific variations, providing insights into biological aging mechanisms. This research is relevant as it addresses the biological processes of aging and offers a novel approach to understanding and potentially intervening in aging mechanisms, which aligns with longevity research goals.