Evidence map›Paper›PMID 39822856›Full record

ArticleIndian journal of thoracic and cardiovascular surgery2025

Serum metabolites and risk of aortic dissection: a two-sample Mendelian randomization study.

ZiAn Feng, Nan Chen, Hui Li, Yi Zhang, BuChun Zhang

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Article in Indian journal of thoracic and cardiovascular surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

ZiAn Feng *Department of Cardiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001 Anhui China.
Nan Chen *Graduate School, Wannan Medical College, Wuhu, 241002 Anhui China.
Hui LiGraduate School, Wannan Medical College, Wuhu, 241002 Anhui China.
Yi ZhangGraduate School, Wannan Medical College, Wuhu, 241002 Anhui China.
BuChun ZhangDepartment of Cardiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001 Anhui China.ORCID 0000-0002-3528-0730

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Acute aortic dissection is a serious cardiovascular emergency with a high mortality rate. Its pathogenesis is complex and remains unclear. This study aimed to assess the connection between the levels of genetically predicted circulating metabolites and the risk of aortic dissection. Methods: A two-sample Mendelian randomization (MR) approach was employed to determine the causal relationship between genetically determined metabolites and the incidence of aortic dissection. In total, 1091 specific metabolites were identified from genome-wide association study (GWAS) data and aortic dissection involving 207,011 participants. Causal inference was performed using the inverse-variance weighted (IVW) method, supplemented by extensive sensitivity analyses to ensure the validity of the results. In addition, pathway analysis was performed using the Metaconflict 5.0 platform. Results: We found that six serum metabolites were genetically associated with an increased risk of aortic dissection, whereas eleven metabolites were associated with a decreased risk, and these associations were confirmed by rigorous sensitivity analyses. Reverse MR analysis indicated that aortic dissection could decrease the serum level of kynurenine (odds ratio (OR) = 0.9675, 95% confidence interval (CI) 0.9383-0.9976, Conclusion: This MR analysis revealed a significant association between seventeen serum metabolites and the risk of aortic dissection. Further research is needed to fully elucidate the complex mechanisms underlying these associations. Graphical Abstract: Supplementary information: The online version contains supplementary material available at 10.1007/s12055-024-01807-5.

Indexed as

Aortic dissectionCirculating metabolitesMendelian randomization

Identifiers

PMID39822856
PMCPMC11732802

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