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Integrated Metabolomic and Transcriptomic Profiling Reveals a Distinct Pathological Aging State in Diminished Ovarian Reserve of Advanced Reproductive-Age Women.

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Bibliographic Details
Title: Integrated Metabolomic and Transcriptomic Profiling Reveals a Distinct Pathological Aging State in Diminished Ovarian Reserve of Advanced Reproductive-Age Women.
Authors: Li Z; Reproductive Medical and Genetic Center, The People's Hospital of Guangxi Zhuang Autonoumous Region, Nanning, Guangxi, China., Wang S; Reproductive Medical and Genetic Center, The People's Hospital of Guangxi Zhuang Autonoumous Region, Nanning, Guangxi, China., Mao X; Reproductive Medical and Genetic Center, The People's Hospital of Guangxi Zhuang Autonoumous Region, Nanning, Guangxi, China., Zhang X; Reproductive Medical and Genetic Center, The People's Hospital of Guangxi Zhuang Autonoumous Region, Nanning, Guangxi, China., Wei P; Reproductive Medical and Genetic Center, The People's Hospital of Guangxi Zhuang Autonoumous Region, Nanning, Guangxi, China., Chen L; Reproductive Medical and Genetic Center, The People's Hospital of Guangxi Zhuang Autonoumous Region, Nanning, Guangxi, China., Xue L; Reproductive Medical and Genetic Center, The People's Hospital of Guangxi Zhuang Autonoumous Region, Nanning, Guangxi, China. ltxgxh@163.com., Ruan Z; Reproductive Medical and Genetic Center, The People's Hospital of Guangxi Zhuang Autonoumous Region, Nanning, Guangxi, China. ziyunruan@163.com.; School of Basic Medicine, Guangxi Key Laboratory of Chinese Medicine Foundation Research, Guangxi University of Chinese Medicine, Nanning, Guangxi, China. ziyunruan@163.com.
Source: Reproductive sciences (Thousand Oaks, Calif.) [Reprod Sci] 2026 Jul; Vol. 33 (7), pp. 1432-1446. Date of Electronic Publication: 2026 Jul 09.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: United States NLM ID: 101291249 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1933-7205 (Electronic) Linking ISSN: 19337191 NLM ISO Abbreviation: Reprod Sci Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1933-7205
DOI:10.1007/s43032-026-02145-0