Evidence map›Paper›PMID 38049831›Full record

ArticleBMC medicine2023

Proteomic insights into the associations between obesity, lifestyle factors, and coronary artery disease.

Fangkun Yang, Fengzhe Xu, Han Zhang, Dipender Gill, Susanna C Larsson, Xue Li, Hanbin Cui, Shuai Yuan

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
7.2field-weighted citation impact, top 2% of its field
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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
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 at 7 institutions in 4 countries.

Fangkun Yang *Department of Cardiology, First Affiliated Hospital of Ningbo University (Ningbo First Hospital), School of Medicine, Ningbo University, 59 Liuting Road, Ningbo, 315010, China.
Fengzhe Xu *Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.
Han ZhangDepartment of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Dipender GillDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Susanna C LarssonUnit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Xue LiDepartment of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China. xueli157@zju.edu.cn.
Hanbin CuiDepartment of Cardiology, First Affiliated Hospital of Ningbo University (Ningbo First Hospital), School of Medicine, Ningbo University, 59 Liuting Road, Ningbo, 315010, China. hbcui_nbdyyy@outlook.com.
Shuai YuanUnit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden. shuai.yuan@ki.se.ORCID 0000-0001-5055-5627
Second Affiliated Hospital of Zhejiang University · CNImperial College London · GBKarolinska Institutet · SENingbo No. 2 Hospital · CNNingbo University · CNUppsala University · SEWestlake University · CN

Funding

Key Laboratory of Precision Medicine for Atherosclerotic Diseases of Zhejiang Province, China 2022E10026Key research and development project of Zhejiang Province, China 2021C03096Major Project of Science and Technology Innovation 2025 in Ningbo, China 2021Z134National Natural Science Foundation of China 82200489
6 · The paper itself

Abstract

backgroundWe aimed to investigate the protein pathways linking obesity and lifestyle factors to coronary artery disease (CAD).

methodsSummary-level genome-wide association statistics of CAD were obtained from the CARDIoGRAMplusC4D consortium (60,801 cases and 123,504 controls) and the FinnGen study (R8, 39,036 cases and 303,463 controls). Proteome-wide Mendelian randomization (MR) analysis was conducted to identify CAD-associated blood proteins, supplemented by colocalization analysis to minimize potential bias caused by linkage disequilibrium. Two-sample MR analyses were performed to assess the associations of genetically predicted four obesity measures and 13 lifestyle factors with CAD risk and CAD-associated proteins' levels. A two-step network MR analysis was conducted to explore the mediating effects of proteins in the associations between these modifiable factors and CAD.

resultsGenetically predicted levels of 41 circulating proteins were associated with CAD, and 17 of them were supported by medium to high colocalization evidence. PTK7 (protein tyrosine kinase-7), RGMB (repulsive guidance molecule BMP co-receptor B), TAGLN2 (transgelin-2), TIMP3 (tissue inhibitor of metalloproteinases 3), and VIM (vimentin) were identified as promising therapeutic targets. Several proteins were found to mediate the associations between some modifiable factors and CAD, with PCSK9, C1S, AGER (advanced glycosylation end product-specific receptor), and MST1 (mammalian Ste20-like kinase 1) exhibiting highest frequency among the mediating networks.

conclusionsThis study suggests pathways explaining the associations of obesity and lifestyle factors with CAD from alterations in blood protein levels. These insights may be used to prioritize therapeutic intervention for further study.

Indexed as

Coronary Artery DiseaseCell Adhesion MoleculesGenome-Wide Association StudyHumansLife StyleMendelian Randomization AnalysisObesityPolymorphism, Single NucleotideProprotein Convertase 9ProteomicsReceptor Protein-Tyrosine KinasesRisk FactorsCell Adhesion MoleculesPCSK9 protein, humanProprotein Convertase 9PTK7 protein, humanReceptor Protein-Tyrosine KinasesBlood proteinCoronary artery diseaseLifestyle factorMediationMendelian randomizationObesity

Identifiers

PMID38049831
PMCPMC10696760
OpenAlexW4389323284

What OpenQuestion holds

Texttitle and abstract
LicenceCC BY
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 OpenQuestion graph.