Multiomics insights into the female reproductive aging

• DOI: 10.1016/j.arr.2024.102245
• Publication Date: 2024-02-23T17:52:25Z
• Authors: Simin Wei; Weicheng Tang; Dan Chen; Jiaqiang Xiong; Liru Xue; Yun Dai; Yican Guo; Chuqing Wu; Jun Dai; Meng Wu; Shixuan Wang

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 aging in the female reproductive system remain elusive. Recent advancements in omics technologies and computational capabilities have facilitated the emergence of multiomics deep phenotyping. Through the application and refinement of various high-throughput omics methods, a substantial volume of omics data has been generated, deepening our comprehension of the pathogenesis and molecular underpinnings of reproductive aging. This review highlights current and emerging multiomics approaches for investigating female reproductive aging, encompassing genomics, epigenomics, transcriptomics, proteomics, metabolomics, and microbiomics. We elucidate their influence on fundamental cell biology and translational research in the context of reproductive aging, address the limitations and current challenges associated with multiomics studies, and offer a glimpse into future prospects.