Evidence map›Paper›PMID 41041130›Full record

ArticleFrontiers in nutrition2025

Intestinal SURF4 in dyslipidaemia and female-specific metabolic disorders: insights from rats with polycystic ovary syndrome.

Yating Xu, Yu Si, Li Ning, Ruyue Wang, Hua Ma, Xiu Li, Hongting Zhao, Qingling Ren

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

8 authors.

Yating XuNanjing University of Chinese Medicine, Nanjing, China.
Yu SiNanjing University of Chinese Medicine, Nanjing, China.
Li NingNanjing University of Chinese Medicine, Nanjing, China.
Ruyue WangNanjing University of Chinese Medicine, Nanjing, China.
Hua MaNanjing University of Chinese Medicine, Nanjing, China.
Xiu LiNanjing University of Chinese Medicine, Nanjing, China.
Hongting ZhaoJiangsu Provincial Traditional Chinese Medicine Obstetrics and Gynecology Reproductive Clinical Medical Innovation Center, Nanjing, China.
Qingling RenNanjing University of Chinese Medicine, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Polycystic ovary syndrome (PCOS) is a complex endocrine disorder characterized by hyperandrogenism, ovulatory dysfunction, and metabolic disturbances, including dyslipidaemia. Recent studies have suggested that intestinal surfeit locus protein 4 (SURF4) contributes to elevated serum PCSK9 levels and subsequent lipid accumulation, with evidence of sex-specific differences in its expression and regulatory effects. This study aimed to investigate the involvement of intestinal SURF4 in the pathogenesis of PCOS and its potential contribution to metabolic lipid disturbances, as well as to explore lipid-PCOS associations through Mendelian randomization (MR) analysis. Methods: This research established two rat models of PCOS: one by administering letrozole in combination with a high-fat diet (Model, Results: The PCOS rat model exhibited significant upregulation of intestinal SURF4 accompanied by dyslipidaemia and elevated androgen levels. Elevated androgen levels may regulate intestinal SURF4 expression, contributing to disturbances in lipid metabolism. MR analyses indicated that PCOS leads to serum lipid abnormalities rather than vice versa. Conclusion: These findings suggest that intestinal SURF4 may serve as a potential intervention target for improving lipid metabolic disorders associated with PCOS.

Indexed as

circulating lipidsHDLLDLlipid metabolismpolycystic ovarian syndromeSURF4TG

Identifiers

PMID41041130
PMCPMC12483925

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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.