Evidence map›Paper›PMID 41530643›Full record

ArticleScience China. Life sciences2026

Whole-grain black rice diet rewires the single-cell transcriptomic landscape of age-related ovarian decline in mice.

Yi-Xuan Tu, Dan-Yang Wang, Jun Ma, Ke-Chun Yu, Sheng-Hui Li, Bo-Han Li, Xin-Yin Deng, Shan Li, Hong-Kai Wang, Tailang Yin and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Science China. Life sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Review
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

12 authors.

Yi-Xuan Tu *Hubei Hongshan Laboratory, Hubei Key Laboratory of Agricultural Bioinformatics, College of Life Science and Technology, College of Biomedicine and Health, Interdisciplinary Sciences Institute, Huazhong Agricultural University, Wuhan, 430070, China.
Dan-Yang Wang *Hubei Hongshan Laboratory, Hubei Key Laboratory of Agricultural Bioinformatics, College of Life Science and Technology, College of Biomedicine and Health, Interdisciplinary Sciences Institute, Huazhong Agricultural University, Wuhan, 430070, China.
Jun Ma *Hubei Hongshan Laboratory, Hubei Key Laboratory of Agricultural Bioinformatics, College of Life Science and Technology, College of Biomedicine and Health, Interdisciplinary Sciences Institute, Huazhong Agricultural University, Wuhan, 430070, China.
Ke-Chun YuHubei Hongshan Laboratory, Hubei Key Laboratory of Agricultural Bioinformatics, College of Life Science and Technology, College of Biomedicine and Health, Interdisciplinary Sciences Institute, Huazhong Agricultural University, Wuhan, 430070, China.
Sheng-Hui LiHubei Hongshan Laboratory, Hubei Key Laboratory of Agricultural Bioinformatics, College of Life Science and Technology, College of Biomedicine and Health, Interdisciplinary Sciences Institute, Huazhong Agricultural University, Wuhan, 430070, China.
Bo-Han LiHubei Hongshan Laboratory, Hubei Key Laboratory of Agricultural Bioinformatics, College of Life Science and Technology, College of Biomedicine and Health, Interdisciplinary Sciences Institute, Huazhong Agricultural University, Wuhan, 430070, China.
Xin-Yin DengHubei Hongshan Laboratory, Hubei Key Laboratory of Agricultural Bioinformatics, College of Life Science and Technology, College of Biomedicine and Health, Interdisciplinary Sciences Institute, Huazhong Agricultural University, Wuhan, 430070, China.
Shan LiHubei Hongshan Laboratory, Hubei Key Laboratory of Agricultural Bioinformatics, College of Life Science and Technology, College of Biomedicine and Health, Interdisciplinary Sciences Institute, Huazhong Agricultural University, Wuhan, 430070, China.
Hong-Kai WangHubei Hongshan Laboratory, Hubei Key Laboratory of Agricultural Bioinformatics, College of Life Science and Technology, College of Biomedicine and Health, Interdisciplinary Sciences Institute, Huazhong Agricultural University, Wuhan, 430070, China.
Tailang YinReproductive Medicine Center, Renmin Hospital of Wuhan University, Wuhan, 430060, China. reproductive@whu.edu.cn.
Ling WangHubei Hongshan Laboratory, Hubei Key Laboratory of Agricultural Bioinformatics, College of Life Science and Technology, College of Biomedicine and Health, Interdisciplinary Sciences Institute, Huazhong Agricultural University, Wuhan, 430070, China. lingwang@webmail.hzau.edu.cn.
Zhen-Xia ChenHubei Hongshan Laboratory, Hubei Key Laboratory of Agricultural Bioinformatics, College of Life Science and Technology, College of Biomedicine and Health, Interdisciplinary Sciences Institute, Huazhong Agricultural University, Wuhan, 430070, China. zhen-xia.chen@mail.hzau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian aging poses significant challenges to female fertility and overall health. While whole-grain black rice diet (BRD) has emerged as a promising anti-aging intervention, its translational potential for ovarian health remains underexplored. This study systematically evaluated BRD's effects on ovarian functional decline through single-cell profiling and phenotypic validation. We demonstrated that BRD intervention effectively delays ovarian aging by preserving the ovarian reserve and maintaining hormonal balance, with granulosa cells (GCs) exhibiting the most pronounced responsiveness. Notably, BRD counteracts age-associated reductions in the GCs population and restores ovarian functional capacity. These findings highlight BRD's ability to rejuvenate the ovarian cellular landscape and stabilize aging-related tran-scriptional profiles. Our study provides actionable insights for developing BRD-based nutritional strategies to combat female reproductive aging, paving the way for clinically translatable dietary interventions and functional food innovations targeting the extension of women's healthspan.

Indexed as

AgingOryzaOvaryTranscriptomeWhole GrainsAnimalsDietFemaleGranulosa CellsMiceMice, Inbred C57BLSingle-Cell Analysisfemale reproductive healthgranulosa cellsovary agingsingle-cell RNA sequencingwhole-grain black rice

Identifiers

PMID41530643

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.