Evidence map›Paper›PMID 40155054›Full record

ArticleEuropean journal of preventive cardiology2026

Association and predictive value of immunoglobulin and complement levels for incident coronary heart disease: a nested case-control study in Chinese adults.

Qin Jiang, Rundong Niu, Jing Jiang, Hanyu Hu, Shiqi He, Hao Wang, Yu Yuan, Handong Yang, Chengwei Xu, Xiaomin Zhang and 6 more

Abstract read
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Article in European journal of preventive cardiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Navigating immunity to predict cardiovascular risk.European journal of preventive cardiology · 2026
    Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Qin JiangDepartment of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan 430030, China.
Rundong NiuDepartment of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan 430030, China.
Jing JiangDepartment of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan 430030, China.
Hanyu HuDepartment of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan 430030, China.
Shiqi HeDepartment of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan 430030, China.
Hao WangDepartment of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan 430030, China.
Yu YuanDepartment of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan 430030, China.
Handong YangDepartment of Cardiovascular Diseases, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan 442000, China.
Chengwei XuDepartment of Cardiovascular Diseases, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan 442000, China.
Xiaomin ZhangDepartment of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan 430030, China.
Meian HeDepartment of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan 430030, China.
Huan GuoDepartment of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan 430030, China.ORCID 0000-0002-7838-2585
Xiang ChengDepartment of Cardiology, Union Hospital, and Key Laboratory of Biological Targeted Therapy of the Ministry of Education, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Chaolong WangDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.ORCID 0000-0003-3945-1012
Tangchun WuDepartment of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan 430030, China.ORCID 0000-0001-9931-5106
Pinpin LongDepartment of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan 430030, China.ORCID 0000-0002-4435-7111

Funding

Chief Scientist Research Project of Hubei Shizhen Laboratory HSL2024SX0003Fundamental Research Funds for the Central UniversitiesHigh-level Medical TeamProject in Baoan, Shenzhen 202407HUST 2019kfyXMBZ015National Natural Science Foundation of China 82021005National Natural Science Foundation of China 82192903National Natural Science Foundation of China 82325044
6 · The paper itself

Abstract

aimsTo investigate the associations of serum immunoglobulin (Ig) and complement levels with incident coronary heart disease (CHD), and to explore the potential mediating role of C-reactive protein (CRP). METHODS AND

resultsWe measured serum levels of IgA, IgE, IgG, IgM, complement 3 (C3), complement 4 (C4), and CRP in a nested case-control study within the Dongfeng-Tongji cohort, consisting of 1605 CHD cases and 1605 age- and sex-matched controls. We quantified the associations of serum Ig and complement levels with incident CHD using conditional logistic regression and restricted cubic spline models. Mediation analysis was conducted to explore the role of CRP in these associations. The additional predictive ability of an immune indicator score beyond traditional risk factors was also evaluated. Higher IgA and C3 levels were associated with an increased risk of CHD in a linear manner [odds ratio (OR) (95% confidence interval, CI): 1.35 (1.11-1.62), P = 0.002; OR (95% CI): 2.01 (1.17-3.44), P = 0.01, respectively]. Conversely, higher IgG exhibited a significant linear decrease in CHD risk [OR (95% CI): 0.55 (0.36-0.83), P = 0.005]. C-reactive protein mediated 5.70% and 12.51% in the associations of IgA and C3 with incident CHD, respectively. Adding an immune indicator score to the traditional risk model improved CHD prediction more effectively than adding CRP [area under receiver operating characteristic curve (AUC): 0.85% vs. 0.21%; net reclassification improvement (NRI): 15.33% vs. 7.85%; integrated discrimination improvement (IDI): 0.80% vs. 0.17%].

conclusionOur study identified IgA and C3 as independent risk factors and IgG as a protective factor for CHD. These immune markers may improve CHD risk prediction beyond traditional and CRP models, highlighting their potential for better risk assessment.

Indexed as

Complement System ProteinsCoronary DiseaseImmunoglobulinsAdultAgedBiomarkersCase-Control StudiesChinaC-Reactive ProteinEast Asian PeopleFemaleHumansImmunoglobulin AIncidenceMaleMiddle AgedBiomarkersComplement System ProteinsC-Reactive ProteinImmunoglobulin AImmunoglobulinsComplementCoronary heart diseaseC-reactive proteinImmunoglobulinRisk prediction

Identifiers

PMID40155054

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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.