Article in Journal of the American Heart Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 27% 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
6 citing papers in PubMed, 3 citations in OpenAlex.
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
18 authors at 8 institutions in 2 countries.
Ravi V ShahVanderbilt Translational and Clinical Research Center, Cardiology Division Vanderbilt University Medical Center Nashville TN.ORCID 0000-0002-4471-7156
Shih-Jen HwangPopulation Sciences Branch, Division of Intramural Research National Heart, Lung, and Blood Institute, National Institutes of Health Bethesda MD.ORCID 0000-0002-2129-5704
Venkatesh L MurthyDepartments of Medicine and Radiology University of Michigan Medical School Ann Arbor MI.ORCID 0000-0002-7901-1321
Shilin ZhaoVanderbilt Center for Quantitative Sciences Vanderbilt University Medical Center Nashville TN.ORCID 0000-0002-3921-3965
Kahraman TanriverdiVanderbilt Translational and Clinical Research Center, Cardiology Division Vanderbilt University Medical Center Nashville TN.ORCID 0000-0002-1491-8803
Priya GajjarCardiology Section, Department of Medicine Boston University School of Medicine Boston MA.ORCID 0009-0002-2693-1578
Kevin DuarteUniversité de Lorraine, Centre d'Investigations Cliniques Plurithématique 1433, INSERM 1116 Nancy France.ORCID 0000-0002-0292-0498
Mark SchoenikeCardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School Boston MA.
Robyn FarrellCardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School Boston MA.ORCID 0000-0002-2099-364X
Liana C BrooksCardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School Boston MA.
Deepa M GopalCardiology Section, Department of Medicine Boston University School of Medicine Boston MA.ORCID 0000-0003-3534-9360
Jennifer E HoCardioVascular Institute and Division of Cardiology, Department of Medicine, Beth Israel Deaconess Medical Center Boston MA.ORCID 0000-0002-7987-4768
Nicholas GirerdUniversité de Lorraine, Centre d'Investigations Cliniques Plurithématique 1433, INSERM 1116 Nancy France.ORCID 0000-0002-3278-2057
Ramachandran S VasanUniversity of Texas School of Public Health San Antonio, and Departments of Medicine and Population Health Sciences, University of Texas Health Science Center San Antonio TX.ORCID 0000-0001-7357-5970
Daniel LevyPopulation Sciences Branch, Division of Intramural Research National Heart, Lung, and Blood Institute, National Institutes of Health Bethesda MD.ORCID 0000-0003-1843-8724
Jane E FreedmanVanderbilt Translational and Clinical Research Center, Cardiology Division Vanderbilt University Medical Center Nashville TN.ORCID 0000-0002-0011-6164
Gregory D LewisCardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School Boston MA.ORCID 0000-0001-8108-8240
Matthew NayorCardiology Section, Department of Medicine Boston University School of Medicine Boston MA.ORCID 0000-0002-6993-9396
Harvard University · USVanderbilt University Medical Center · USBoston University · USInserm · FRNational Institutes of Health · USBeth Israel Deaconess Medical Center · USThe University of Texas Health Science Center at San Antonio · USUniversity of Michigan · US
Funding
Proteomic Profiling of Precise Exercise Pathophenotypes Across the HFpEF SpectrumR01HL131029 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Gregory Dyer Lewis, Matthew G. Nayor · 2016 to 2026
$7.7M
Metabolic Responses to an Oral Mixed Meal Tolerance Test: Intra-individual changes, correlates, and prognostic significanceR01HL156975 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI NAYOR, MATTHEW G. · 2021 to 2025
$3.3M
Eicosanoid Profiles as Determinants of HFpEFR01HL140224 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI HO, JENNIFER E · 2018 to 2021
$3.1M
Implications of metabolism on healthy aging in African and Caucasian Americans: the Health ABC studyR01AG059729 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MURTHY, VENKATESH LOCHARLA, NEWMAN, ANNE B. · 2018 to 2022
$3.1M
The Association of Metabolic Disease and Pulmonary HypertensionR01HL134893 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI HO, JENNIFER E · 2017 to 2021
$2.9M
Characterization of Molecular and Physiologic Signatures of Impaired Multi-Organ System Reserve Capacity During Exercise in Heart Failure with Preserved Ejection FractionR01HL151841 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI LEWIS, GREGORY DYER, SHAH, RAVI · 2020 to 2023
$2.7M
Molecular markers of early cardiometabolic health transitions in the CARDIA studyR01HL136685 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MURTHY, VENKATESH LOCHARLA, SHAH, RAVI · 2017 to 2021
$2.6M
Metabolic Signatures of Impaired Cardiorespiratory Fitness: Correlates, Prognostic Significance and Modulation with Exercise TrainingK23HL138260 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI NAYOR, MATTHEW G. · 2017 to 2021
$998k
Mentoring in Patient-Oriented and Translational HFpEF ResearchK24HL153669 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Jennifer E Ho · 2020 to 2026
backgroundWhile exercise impairments are central to symptoms and diagnosis of heart failure with preserved ejection fraction (HFpEF), prior studies of HFpEF biomarkers have mostly focused on resting phenotypes. We combined precise exercise phenotypes with cardiovascular proteomics to identify protein signatures of HFpEF exercise responses and new potential therapeutic targets. METHODS AND
resultsWe analyzed 277 proteins (Olink) in 151 individuals (N=103 HFpEF, 48 controls; 62±11 years; 56% women) with cardiopulmonary exercise testing with invasive monitoring. Using ridge regression adjusted for age/sex, we defined proteomic signatures of 5 physiological variables involved in HFpEF: peak oxygen uptake, peak cardiac output, pulmonary capillary wedge pressure/cardiac output slope, peak pulmonary vascular resistance, and peak peripheral O
conclusionsThe cardiovascular proteome is associated with precision exercise phenotypes in HFpEF, suggesting novel mechanistic targets and potential methods for risk stratification to prevent HFpEF early in its pathogenesis.
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.
Proteomics and Precise Exercise Phenotypes in Heart Failure With Preserved Ejection Fraction: A Pilot Study. · full record | OpenQuestion