Evidence map›Paper›PMID 40026314›Full record

ArticleJournal of inflammation research2025

Single-Cell RNA Sequencing Reveals Peripheral Immune Cell Senescence and Inflammatory Phenotypes in Patients with Premature Ovarian Failure.

Jianan Liu, Li Wang, Weijun Zhong, Jing Cai, Yan Sun, SongJun Li, Jiayi Li, Yanhui Liu, Fu Xiong

Abstract read
In one paragraph

Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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  3. 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

9 authors.

Jianan LiuDepartment of Medical Genetics/Experimental Education/Administration Center, School of Basic Medical Sciences, Southern Medical University, Guangzhou, People's Republic of China.ORCID 0009-0004-7420-1136
Li WangReproductive Medicine Department, The Third Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, People's Republic of China.
Weijun ZhongDepartment of Medical Genetics/Experimental Education/Administration Center, School of Basic Medical Sciences, Southern Medical University, Guangzhou, People's Republic of China.
Jing CaiReproductive Medicine Department, Dongguan Maternal and Children Health Hospital, Dongguan, Guangdong, People's Republic of China.
Yan SunReproductive Medicine Department, Dongguan Maternal and Children Health Hospital, Dongguan, Guangdong, People's Republic of China.
SongJun LiReproductive Medicine Department, The Third Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, People's Republic of China.
Jiayi LiThe First Clinical Medical School, Nan Fang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Yanhui LiuReproductive Medicine Department, The Third Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, People's Republic of China.
Fu XiongDepartment of Medical Genetics/Experimental Education/Administration Center, School of Basic Medical Sciences, Southern Medical University, Guangzhou, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Premature Ovarian Failure (POF) is a heterogeneous syndrome characterized by ovarian dysfunction, frequently associated with autoimmune factors. The interaction between peripheral and ovarian immune signals remains unclear. Recent advancements in single-cell technology provide a unique opportunity to examine the complex peripheral immune response in POF patients at the microstructural level. This study investigates the immune microenvironment's complexity through the interaction between peripheral and ovarian local immune responses. Methods: Peripheral blood mononuclear cells (PBMCs) were isolated from three healthy individuals and four POF patients. Single-cell RNA sequencing (scRNA-seq) was used to delineate cell clusters and identify differentially expressed genes (DEGs). Enrichment, SCENIC, and pseudo-time analyses were utilized to explore cellular phenotype diversity, regulatory patterns, and evolutionary trajectories. A POF mouse model was used for validation. Results: Seven clusters were identified and classified into two groups. POF patients exhibited increased proportions in T cells, NK cells, and B cells as well as upregulated IGLC2, GNLY, GZMB, FCGR3A, and CCL5 expressions compared to healthy controls. Monocytes, particularly non-classical monocytes, exhibited inflammatory phenotypes. CD8 Conclusion: In summary, this study provides in-depth insights into the immune landscape of POF, revealing distinct cell populations, pathways, and signaling networks linked to the disease. These findings enhance our understanding of POF's immunological mechanisms, contributing to the development of potential diagnostic and therapeutic strategies.

Indexed as

CCL5CD8+ effector T cellsimmune microenvironmentmonocytespremature ovarian failuresingle-cell RNA sequencing

Identifiers

PMID40026314
PMCPMC11871908

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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.