Evidence map›Paper›PMID 42639619›Full record

ArticleLife medicine2026

Cross-species metabolic profiling of follicular compartments in obesity.

Yiqiu Wu, Shiyu Xie, Mengyuan Zhu, Yu Tian, Hengjie Wang, Shoubin Tang, Minjian Chen, Qiang Wang, Longsen Han, Shuai Zhu

Abstract read
In one paragraph

Article in Life medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Yiqiu WuState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, China.
Shiyu XieState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, China.
Mengyuan ZhuKey Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Yu TianState Key Laboratory of Reproductive Medicine and Offspring Health, Center for Reproductive Medicine, Institute of Women, Children and Reproductive Health, Shandong University, Jinan 250012, China.
Hengjie WangNanjing Women and Children's Healthcare Hospital, Women's Hospital of Nanjing Medical University, Nanjing 210004, China.
Shoubin TangState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, China.
Minjian ChenKey Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Qiang WangState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, China.
Longsen HanState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, China.
Shuai ZhuState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing 211166, China.ORCID https://orcid.org/0000-0002-8426-9554

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Impaired fertility in obese women is closely associated with disruptions in follicular microenvironment homeostasis. However, the underlying metabolic signatures remain poorly characterized. In this study, we employed a high-fat diet induced obese mouse model and conducted comparative metabolomic analyses of granulosa cells, follicular fluid, and serum from obese mice and women. Our results revealed prevalent metabolic disturbances across species, including dysregulated amino acid metabolism, suppressed steroidogenesis, and impaired fatty acid β-oxidation. Notably, ceramide accumulation in granulosa cells and follicular fluid suggested an insulin-resistant follicular microenvironment. These findings indicate obesity-induced metabolic reprogramming in the follicular niche, highlighting conserved disruptions in energy metabolism and steroidogenic capacity. Overall, our data provide a metabolic framework to elucidate obesity-associated subfertility and suggest potential metabolic targets for diagnosing and treating reproductive disorders.

Indexed as

follicular microenvironmentgranulosa cellsmetabolic profilingobesity

Identifiers

PMID42639619
PMCPMC13503033

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.