Evidence map›Paper›PMID 41630049›Full record

ArticleJournal of cardiothoracic surgery2026

Integration of transcriptome and mendelian randomization analyses to explore the molecular mechanisms of atrial fibrillation.

Mei-Juan Zheng, Jiao Wang, Yu-Chun Yang, Zhen Bao, Ruo-Nan Wang, Muhuyati Wulasihan

Abstract read
In one paragraph

Article in Journal of cardiothoracic surgery, 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

6 authors.

Mei-Juan Zheng *Department of Integrated Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Xinjiang Uygur Autonomous Region, Urumqi, 830054, People's Republic of China.
Jiao Wang *Department of Integrated Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Xinjiang Uygur Autonomous Region, Urumqi, 830054, People's Republic of China.
Yu-Chun Yang *Department of Integrated Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Xinjiang Uygur Autonomous Region, Urumqi, 830054, People's Republic of China.
Zhen BaoDepartment of Integrated Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Xinjiang Uygur Autonomous Region, Urumqi, 830054, People's Republic of China.
Ruo-Nan WangDepartment of Integrated Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Xinjiang Uygur Autonomous Region, Urumqi, 830054, People's Republic of China.
Muhuyati WulasihanXinjiang Medical University, Xinjiang Uygur Autonomous Region, No. 567 Shangde North Road, Urumqi, 830017, People's Republic of China. wulasihan8@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtrial fibrillation (AF) is a prevalent arrhythmia associated with significant adverse outcomes and elevated mortality rates, though its underlying molecular mechanisms remain poorly understood. This study sought to identify key genes linked to AF through the integration of transcriptome analysis and Mendelian randomization (MR), supplemented by bioinformatics.

methodsDifferentially expressed genes (DEGs) were identified by comparing patients with AF to those without the condition. MR analysis was used to assess causal relationships between key genes and expression quantitative trait loci-associated outcomes. Single-cell sequencing, combined with Area Under the Curve for Single Cell analysis, was used to assess the activity of immune and metabolic pathways. This was further complemented by immunoinfiltration analysis.

resultsAmong the 503 DEGs identified—312 upregulated and 191 downregulated—MR analysis highlighted ST8SIA4 and SLPI as potential protective genes in AF pathogenesis. ST8SIA4 was predominantly enriched in immune and inflammatory pathways and demonstrated associations with γδ T cells, M2 macrophages, and CD8+T cells. Conversely, SLPI was implicated in coagulation pathways, with expression observed in endothelial cells, macrophages, and T cells, and exhibited a negative correlation with eosinophil levels.

conclusionsST8SIA4 and SLPI are associated with a reduced AF risk highlighting their potential involvement in the pathogenesis of the disease and their promise as therapeutic targets.

Indexed as

Atrial FibrillationMendelian Randomization AnalysisTranscriptomeGene Expression ProfilingGenetic Predisposition to DiseaseHumansAtrial fibrillationImmune infiltrationMendelian randomizationSingle-cell sequencingSLPIST8SIA4Transcriptome

Identifiers

PMID41630049
PMCPMC12955290

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.