Evidence map›Paper›PMID 42204289›Full record

Articlenpj metabolic health and disease2026

snRNA-seq identifies Fmo2

Shihan Xu, Chunxiao Ju, Mengmeng Zhu, Yajie Cai, Fengqin Xu, Yanfei Liu, Yue Liu

Abstract read
In one paragraph

Article in npj metabolic health and disease, 2026. 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

7 authors.

Shihan Xu *National Clinical Research Center for TCM Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Chunxiao Ju *National Clinical Research Center for TCM Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Mengmeng ZhuNational Clinical Research Center for TCM Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Yajie CaiNational Clinical Research Center for TCM Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Fengqin XuNational Clinical Research Center for TCM Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Yanfei LiuNational Clinical Research Center for TCM Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China. yanfeitcm@163.com.
Yue LiuNational Clinical Research Center for TCM Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China. liuyueheart@hotmail.com.

Funding

Excellent Young Science and Technology Talent Cultivation Special Project of CACMS CI2023D006Hospital capability enhancement project of Xiyuan Hospital of CACMS. XYZX0405-21
6 · The paper itself

Abstract

Despite intensive glycemic control, diabetic cardiomyopathy (DCM) often progresses due to hyperglycemic memory (HGM), yet the specific cardiac cells perpetuating this injury remain unknown. To address this, we performed single-nucleus RNA sequencing (snRNA-seq) on hearts from an HGM rat model. Our analysis of 86,120 nuclei revealed HGM-specific inflammatory and epigenetic reprogramming signatures. Fibroblasts emerged as potential mediators, appearing to drive extracellular matrix remodeling via upregulated LAMININ and COLLAGEN signaling. We uncovered a distinct HGM-specific fibroblast subpopulation characterized by oxidative stress and H3K27 demethylation. Integrative analysis prioritized Fmo2 as a key pathogenic candidate, which was further supported via Mendelian randomization and clinical data as a putative causal gene. This study suggests that a pathogenic Fmo2

Identifiers

PMID42204289
PMCPMC13216310

What OpenQuestion holds

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Registered trials

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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.