Evidence map›Paper›PMID 40298290›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2025

Identifying Metabolomic Biomarkers of Lung Function Decline in People with HIV.

Tyler C Lovelace, Stacy L Gelhaus, Barbara Methé, Steven J Mullett, Biying Zhang, Kelvin Li, Stephen Y Chan, Cathy Murray, Heather Gentry, Shulin Qin and 3 more

Abstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2025. 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

13 authors.

Tyler C LovelaceDepartment of Computational & Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.ORCID 0000-0002-7881-9054
Stacy L GelhausDepartment of Pharmacology and Chemical Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Barbara MethéDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Steven J MullettDepartment of Pharmacology and Chemical Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Biying ZhangDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Kelvin LiCenter for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Stephen Y ChanCenter for Pulmonary Vascular Biology and Medicine, Heart, Lung, and Blood Vascular Medicine Institute, University of Pittsburgh, Pittsburgh, PA, USA.
Cathy MurrayDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Heather GentryDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Shulin QinDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Charles R RinaldoDivision of Infectious Diseases, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Panayiotis V BenosDepartment of Epidemiology, University of Florida, Gainesville, FL, USA.
Alison MorrisDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.

Funding

Defining the Complex Biology of the miR-130/301 Family in Pulmonary HypertensionR01HL124021 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHAN, STEPHEN Y · 2014 to 2025
$4.9M
Iron-Sulfur Deficiency as a Critical Pathogenic Cause of Pulmonary HypertensionR01HL122596 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHAN, STEPHEN Y · 2015 to 2024
$4.5M
Systems Biology of Diffusion Impairment in HIVR01HL140963 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BENOS, PANAGIOTIS V, CHAN, STEPHEN Y · 2018 to 2021
$3.7M
COPD SUBTYPES AND EARLY PREDICTION USING INTEGRATIVE PROBABILISTIC GRAPHICAL MODELS R01HL157879R01HL157879 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BENOS, PANAGIOTIS V, SCIURBA, FRANK · 2021 to 2024
$2.9M
An Exploris 240 for MetabolomicsS10OD032141 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GELHAUS, STACY LYNN · 2022 to 2022
$600k
Bringing Untargeted Metabolomics to PittS10OD023402 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GELHAUS, STACY LYNN · 2018 to 2018
$594k
Causal graphical methods for high-dimensional heterogeneous biomedical dataF31LM013966 · NLM · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LOVELACE, TYLER · 2022 to 2024
$143k
NHLBI NIH HHS R01 HL122596NHLBI NIH HHS R01 HL124021NHLBI NIH HHS R01 HL140963NHLBI NIH HHS R01 HL157879NIH HHS S10 OD023402NIH HHS S10 OD032141NLM NIH HHS F31 LM013966
6 · The paper itself

Abstract

backgroundPulmonary complications in people living with HIV (PWH) have shifted away from infectious disease and towards chronic disease. HIV is an independent risk factor for chronic obstructive pulmonary disease (COPD), with PWH developing COPD younger and declining faster in pulmonary function. As an accelerated decline is associated with greater mortality, there is a need to identify individuals at high risk of longitudinal decline.

setting59 adults with HIV enrolled from the Pittsburgh Lung HIV study cohort.

methodsTargeted metabolite profiling was performed on baseline bronchoalveolar lavage fluid (BALF, n=35) and serum samples (n=54) using liquid chromatography-high resolution mass spectrometry. Longitudinal pulmonary function tests (median 3 measurements over 2.95 years with a follow-up interval of 1.34 years) were used to determine rates of decline. Predictive modeling and feature selection algorithms identified baseline clinical and metabolomic factors associated with longitudinal decline across forced expiratory volume, forced vital capacity, and diffusing capacity of the lung.

resultsPredictive models found the BALF metabolome to successfully predict outcomes more consistently than serum. Key BALF metabolites such as elevated carnitine and reduced pyruvate predicted greater risk of longitudinal decline. Low serum citrate levels were a robust predictor of decline across multiple tests. Probabilistic graphical models supported direct relationships between these metabolites and lung function decline.

conclusionBaseline metabolomic profiling, especially using BALF, can help identify PWH at risk for accelerated lung function decline. Key metabolic pathways related to glucose oxidation, fatty acid metabolism, and amino acid metabolism underlie observed lung function changes.

Indexed as

Chronic obstructive pulmonary diseaseHIVLongitudinal studiesMachine learningMetabolomeSpirometry

Identifiers

PMID40298290
PMCPMC13404749

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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.