Evidence map›Paper›PMID 41717923›Full record

Observational studyJournal of the American Heart Association2026

Proteomic Profiling of Pulmonary Function and Cardiovascular Disease Risk in the Atherosclerosis Risk in Communities Study.

Yura Lee, Astrid M Manuel, Ngoc Quynh H Nguyen, Christine Ladd-Acosta, Alanna C Morrison, Kari E North, Eric Boerwinkle, Amil M Shah, Zhongming Zhao, Stephanie J London and 1 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Journal of the American Heart Association, 2026. 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.

Yura LeeHuman Genetics Center, School of Public Health The University of Texas Health Science Center at Houston TX USA.ORCID 0000-0003-2341-0179
Astrid M ManuelDepartment of Molecular and Human Genetics Baylor College of Medicine Houston TX USA.ORCID 0000-0001-8303-8116
Ngoc Quynh H NguyenHuman Genetics Center, School of Public Health The University of Texas Health Science Center at Houston TX USA.
Christine Ladd-AcostaDepartment of Epidemiology, Bloomberg School of Public Health Johns Hopkins University Baltimore MD USA.ORCID 0000-0002-7697-3998
Alanna C MorrisonHuman Genetics Center, School of Public Health The University of Texas Health Science Center at Houston TX USA.ORCID 0000-0001-6381-4296
Kari E NorthHuman Genetics Center, School of Public Health The University of Texas Health Science Center at Houston TX USA.ORCID 0000-0002-8903-0366
Eric BoerwinkleHuman Genetics Center, School of Public Health The University of Texas Health Science Center at Houston TX USA.ORCID 0000-0001-8813-0544
Amil M ShahDepartment of Internal Medicine and Division of Cardiology The University of Texas Southwestern Medical Center Dallas TX USA.ORCID 0000-0003-1056-4451
Zhongming ZhaoCenter for Precision Health, School of Biomedical Informatics The University of Texas Health Science Center at Houston TX USA.ORCID 0000-0002-3477-0914
Stephanie J LondonEpidemiology Branch, National Institute of Environmental Health Sciences National Institutes of Health, Research Triangle Park Durham NC USA.ORCID 0000-0003-4911-5290
Bing YuHuman Genetics Center, School of Public Health The University of Texas Health Science Center at Houston TX USA.ORCID 0000-0003-4818-1077

Funding

Mapping the Progression to HFpEF in the Elderly through Longitudinal Changes in Cardiac FunctionR01HL135008 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI Amil M Shah · 2017 to 2026
$11.5M
Transforming dbGaP genetic and genomic data to FAIR-ready by artificial intelligence and machine learning algorithmsR01LM012806 · NLM · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Zhongming Zhao · 2017 to 2026
$3.7M
Proteomic signatures to identifypathways underlying the progression toheart failureR01HL148218 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI SHAH, AMIL M, YU, BING · 2020 to 2023
$3.4M
Mentoring patient-oriented research in deep phenotyping of cardiac function for heart failure preventionK24HL152008 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI SHAH, AMIL M · 2020 to 2024
$608k
NHLBI NIH HHS K24 HL152008NHLBI NIH HHS R01 HL135008NHLBI NIH HHS R01 HL148218NLM NIH HHS R01 LM012806
6 · The paper itself

Abstract

backgroundPulmonary function is linked to cardiovascular disease risk; however, the underlying mechanisms remain unclear. We aimed to identify protein biomarkers associated with pulmonary function and examine their impact on incident chronic obstructive pulmonary disease, coronary heart disease, heart failure, and all-cause mortality.

methodsData from White and Black Americans in the Atherosclerosis Risk in Communities study (visit 2: N=11 354, mean age=57 years; visit 5: N=3517, mean age=75 years), a prospective cohort, were analyzed. Linear regression assessed associations between protein levels and pulmonary function measures, including forced expiratory volume in 1 second and forced vital capacity. The impact of the identified proteins on incident chronic obstructive pulmonary disease, coronary heart disease, heart failure, and mortality was estimated using logistic regression and Cox proportional hazards models. Pathway enrichment and Mendelian randomization explored underlying biological functions and causal effects.

resultsOf 4766 proteins analyzed, 364 were cross-sectionally associated with forced expiratory volume in 1 second (and forced vital capacity (false discovery rate<0.05). Ninety-four and 270 proteins had concordant positive and negative effects, respectively. Five pathways related to pulmonary and cardiac function were enriched. Of the 364 proteins, 112 were linked to all 4 outcomes, where 86 were associated with increased risk (odds ratio/hazard ratio [OR/HR], 1.05-1.42) and 26 with reduced risk (OR/HR, 0.69-0.96). Six proteins (STAT3 [signal transducer and activator of transcription 3], MIC-1 [growth differentiation factor 15], apoA-II [apolipoprotein A-II], TPST1 [protein-tyrosine sulfotransferase 1], integrin a1b1 [integrin alpha-I: beta-1 complex], and BLC [C-X-C motif chemokine 13]) showed potential inverse causal effects on with forced expiratory volume in 1 second and forced vital capacity, and integrin a1b1 demonstrated consistent inverse associations with chronic obstructive pulmonary disease, coronary heart disease, and heart failure risks.

conclusionsProteins associated with pulmonary function may influence CVD risk. Six proteins, including integrin a1b1, represent promising targets for future interventions.

Indexed as

LungProteomicsPulmonary Disease, Chronic ObstructiveAgedBiomarkersBlack or African AmericanCoronary DiseaseCross-Sectional StudiesFemaleForced Expiratory VolumeHeart FailureHumansIncidenceMaleMiddle AgedProspective StudiesBiomarkersbiomarkerforced expiratory volume in 1 secondforced vital capacityproteomicspulmonary function

Identifiers

PMID41717923
PMCPMC13055669

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.