Evidence map›Paper›PMID 42893041›Full record

ArticleAmerican journal of preventive cardiology2027

Heterogeneity in proteomic risk factors for coronary heart disease by sex and menopause status.

Janina M Herold, Aditya Surapaneni, Josef Coresh, Lucas Mavromatis, Kelly V Ruggles, Eric Boerwinkle, Harmony Reynolds, Christie M Ballantyne, Bing Yu, Carina Flaherty and 1 more

Abstract read
In one paragraph

Article in American journal of preventive cardiology, 2027. 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

11 authors.

Janina M HeroldDivision of Precision Medicine, Department of Medicine, NYU Grossman School of Medicine, NY, USA.
Aditya SurapaneniDivision of Precision Medicine, Department of Medicine, NYU Grossman School of Medicine, NY, USA.
Josef CoreshOptimal Aging Institute, Department of Population Health, NYU Grossman School of Medicine, NY, USA.
Lucas MavromatisDivision of Precision Medicine, Department of Medicine, NYU Grossman School of Medicine, NY, USA.
Kelly V RugglesDivision of Precision Medicine, Department of Medicine, NYU Grossman School of Medicine, NY, USA.
Eric BoerwinkleSchool of Public Health, University of Texas Health System- Houston, Houston, TX, USA.
Harmony ReynoldsCardiovascular Clinical Research Center, Department of Medicine, New York University Grossman School of Medicine, NY, NY, USA.
Christie M BallantyneDivision of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
Bing YuSchool of Public Health, University of Texas Health System- Houston, Houston, TX, USA.
Carina FlahertyDivision of Precision Medicine, Department of Medicine, NYU Grossman School of Medicine, NY, USA.
Morgan E GramsDivision of Precision Medicine, Department of Medicine, NYU Grossman School of Medicine, NY, USA.

Funding

THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - COORDINATING CENTER - TASK AREA B.2 AND B.375N92022D00001 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COUPER, DAVID · 2022 to 2025
$13.7M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00003 · NHLBI · UNIVERSITY OF MINNESOTA · PI LUTSEY, PAMELA · 2022 to 2025
$5.1M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00005 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI WAGENKNECHT, LYNNE · 2022 to 2025
$5.0M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00004 · NHLBI · UNIVERSITY OF MISSISSIPPI MED CTR · PI WINDHAM, BEVERLY GWEN · 2022 to 2025
$4.8M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00002 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI ARGANI, PEDRAM · 2022 to 2025
$4.7M
Profiling Cardiovascular Events and Biomarkers in the Very Old to Improve Personalized Approaches for the Prevention of Cardiac and Vascular DiseaseR01HL134320 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI BALLANTYNE, CHRISTIE MITCHELL, SELVIN, ELIZABETH · 2016 to 2019
$3.1M
NHLBI NIH HHS 75N92022D00001NHLBI NIH HHS 75N92022D00002NHLBI NIH HHS 75N92022D00003NHLBI NIH HHS 75N92022D00004NHLBI NIH HHS 75N92022D00005NHLBI NIH HHS R01 HL134320
6 · The paper itself

Abstract

Background: Coronary heart disease (CHD) is the leading cause of morbidity and mortality worldwide, yet current prediction tools do not fully capture sex differences in risk. Menopause further modifies women's risk of CHD, but underlying molecular mechanisms are not well understood. Proteomic profiling may provide new insights into these mechanisms. Methods: We analyzed 4,877 SomaScan™-based plasma proteins in 10,034 Atherosclerosis Risk in Communities (ARIC) participants. Using linear regression, we identified sex- and menopause-related differences in circulating protein concentrations. We performed pathway enrichment analyses to capture underlying biological mechanisms. To evaluate the associations between proteins and incident CHD and differences by sex or menopause status, we applied Cox regression. Finally, we used LASSO regression to identify proteins that improve CHD risk prediction beyond an established clinical model. Results: We observed significant differences in circulating proteins by sex and menopausal status, including early changes during the menopausal transition. We found protein associations with incident CHD differed markedly by sex and menopausal stage: eight proteins were associated with CHD in men, compared with 54 in women, and six and 17 proteins in peri‑ and postmenopausal women, respectively. In risk prediction analyses, adding sex-specific protein panels improved CHD prediction (ΔC-statistic=0.05 in men and 0.03 in women), with similar improvement across menopausal stages. Conclusions: Proteomic profiles underlying CHD risk differ substantially by sex and menopausal stage. These findings suggest potential biological heterogeneity in CHD and support the study of sex- and menopause-related differences in underlying mechanisms.

Indexed as

Coronary heart diseaseMenopauseProteomicsRisk predictionSex differences

Identifiers

PMID42893041
PMCPMC13676126

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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.