Evidence mapPaperPMID 40241080Full record

ArticleCardiovascular diabetology2025

Integrative metabolomics and genomics reveal molecular signatures for type 2 diabetes and its cardiovascular complications.

Chunxiao Cheng, Yuanjiao Liu, Lingyun Sun, Jiayao Fan, Xiaohui Sun, Ju-Sheng Zheng, Lin Zheng, Yimin Zhu, Dan Zhou

Abstract read
In one paragraph

Article in Cardiovascular diabetology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. A Multi-Omics Integration Analysis Reveals ThatAntioxidants (Basel, Switzerland) · 2026
    Article
  6. Article
  7. Review
  8. Article
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  10. Causal Associations Between Human Blood Metabolites and Cardio-Cerebrovascular Diseases: A Mendelian Randomisation Study.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Article
4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Chunxiao ChengThe Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou, 310058, China.
Yuanjiao LiuDepartment of Epidemiology and Biostatistics, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Lingyun SunThe Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou, 310058, China.
Jiayao FanThe Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou, 310058, China.
Xiaohui SunSchool of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, China.
Ju-Sheng ZhengZhejiang Key Laboratory of Multi-Omics in Infection and Immunity, Center for Infectious Disease Research, School of Medicine, Westlake University, Hangzhou, 310024, China.
Lin ZhengHangzhou Xihu District Health Supervision Institute, Hangzhou, 310030, Zhejiang, China. zhenglin919@126.com.
Yimin ZhuDepartment of Epidemiology and Biostatistics, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China. zhuym@zju.edu.cn.
Dan ZhouThe Second Affiliated Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou, 310058, China. danzhou@zju.edu.cn.

Funding

National Key Research and Development Program of China 2017YFC0907004National Natural Sciences Foundation of China 82204118
6 · The paper itself

Abstract

backgroundMetabolites are pivotal in the biological process underlying type 2 diabetes (T2D) and its cardiovascular complications. Nevertheless, their contributions to these diseases have not been comprehensively evaluated, particularly in East Asian ancestry. This study aims to elucidate the metabolic underpinnings of T2D and its cardiovascular complications and leverage multi-omics integration to uncover the molecular pathways involved.

methodThis study included 1180 Chinese participants from the Zhejiang Metabolic Syndrome Cohort (ZMSC). A total of 1912 metabolites were profiled using high-coverage widely targeted and non-targeted metabolic techniques. Multivariable logistic regression models and orthogonal partial least squares discriminant analysis were used to identify T2D-related metabolites. A metabolome-wide genome-wide association study (GWAS) in ZMSC, followed by two-sample Mendelian randomization (MR) analyses, was conducted to explore potential causal metabolite-T2D associations. To enhance cross-ancestry generalizability, MR analyses were conducted in European ancestry to explore the potential causal effects of serum metabolites on T2D and its cardiovascular complications. Furthermore, multi-omics evidence was integrated to explore the underlying molecular mechanisms.

resultsWe identified six metabolites associated with T2D in Chinese, supported by metabolome analysis and genetic-informed causal inference. These included two potential protective factors (PC [O-16:0/0:0] and its derivative LPC [O-16:0]) and four potential risk factors ([R]-2-hydroxybutyric acid, 2-methyllactic acid, eplerenone, and rauwolscine). Cross-ancestry metabolome-wide analysis further revealed four shared potential causal metabolites, highlighting the potential protective role of creatine for T2D. Through multi-omics integration, we revealed a potential regulatory path initialized by a genetic variant near CPS1 (coding for a urea cycle-related mitochondrial enzyme) influencing serum creatine levels and subsequently modulating the risk of T2D. MR analyses further demonstrated that nine urea cycle-related metabolites significantly influence cardiovascular complications of T2D.

conclusionOur study provides novel insights into the metabolic underpinnings of T2D and its cardiovascular complications, emphasizing the role of urea cycle-related metabolites in disease risk and progression. These findings advance our understanding of circulating metabolites in the etiology of T2D, offering potential biomarkers and therapeutic targets for future research. RESEARCH INSIGHTS: WHAT IS CURRENTLY KNOWN ABOUT THIS TOPIC?: Metabolites are crucial for understanding diabetes biology.Multi-omics integration aids in revealing complex mechanisms. WHAT IS THE KEY RESEARCH QUESTION?: How do serum metabolites affect diabetes and its cardiovascular outcomes? WHAT IS NEW?: Novel diabetes-related metabolites identified in Chinese populations.Consistent metabolites associated with diabetes and glycemic traits in East Asians and Europeans.Emphasizing the role of urea cycle pathway in cardiometabolic disease. HOW MIGHT THIS STUDY INFLUENCE CLINICAL PRACTICE?: Findings could guide diabetes prevention and personalized management strategies.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2MetabolomeAdultAgedBiomarkersChinaEast Asian PeopleFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyGenomicsHumansMaleMendelian Randomization AnalysisMiddle AgedBiomarkersCardiometabolic diseasesEast AsiansGenetic association studiesMendelian randomizationMetabolomeType 2 diabetesZhejiang Metabolic Syndrome Cohort

Identifiers

PMID40241080
PMCPMC12004867

What Socratic 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 Socratic graph.