Evidence map›Paper›PMID 39867385›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Assessing Inflammatory Protein Biomarkers in COPD Subjects with and without Alpha-1 Antitrypsin Deficiency.

Matthew Moll, Brian D Hobbs, Katherine A Pratte, Chengyue Zhang, Auyon J Ghosh, Russell P Bowler, David A Lomas, Edwin K Silverman, Dawn L DeMeo

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 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

5 · Who and what money

Authors and funding

9 authors.

Matthew MollChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115.
Brian D HobbsRegeneron Pharmaceutical, Tarrytown, NY.ORCID 0000-0001-9564-0745
Katherine A PratteDepartment of Biostatistics, National Jewish Health, Denver, CO, 80206.
Chengyue ZhangChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115.
Auyon J GhoshDivision of Pulmonary and Critical Care Medicine, SUNY Upstate Medical Center, Syracuse, NY 13210.ORCID 0000-0003-0334-4039
Russell P BowlerDepartment of Genomic Medicine, Cleveland Clinic Lerner College of Medicine, Cleveland, OH, 44195.ORCID 0000-0003-4651-363X
David A LomasDivision of Medicine, UCL Respiratory, Rayne Institute, University College London, UK.ORCID 0000-0003-2339-6979
Edwin K SilvermanChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115.
Dawn L DeMeoChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115.ORCID 0000-0001-9653-0636

Funding

Genetic Epidemiology of COPDU01HL089897 · NHLBI · NATIONAL JEWISH HEALTH · PI CRAPO, JAMES D · 2007 to 2021
$56.9M
GENETIC EPIDEMIOLOGY OF COPD (COPD GENE) TASK A: STUDY VISIT 4, COLLECTION OF COPDGENE STUDY DATA ANDBIOSPECIMENS AND OVERSIGHT OF THE COPDGENE STUDY75N92023D00011 · NHLBI · NATIONAL JEWISH HEALTH · PI NEWMAN, LEE S · 2023 to 2025
$29.6M
Respiratory Computational Discovery CoreP01HL114501 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI CHOI, MARY E · 2013 to 2025
$24.9M
Genetic Epidemiology of COPDU01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2007 to 2021
$20.7M
COPD Susceptibility, Heterogeneity, and Progression: Proteomics and GeneticsR01HL133135 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI MORITZ, ROBERT L, SILVERMAN, EDWIN K · 2017 to 2025
$7.2M
Biomarker of Lung Disease in African AmericansR01HL137995 · NHLBI · NATIONAL JEWISH HEALTH · PI BOWLER, RUSSELL PAUL, KECHRIS-MAYS, KATHERINA · 2018 to 2021
$3.4M
Identifying Protein-Protein Network Interactions between COPD Susceptibility GenesR01HL152728 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K, WEI, WENYI · 2021 to 2024
$3.2M
Multi-omic networks associated with COPD progression in TOPMed CohortsR01HL152735 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI BANAEI-KASHANI, FARNOUSH, BOWLER, RUSSELL PAUL · 2020 to 2023
$3.1M
Networks Tools to Understand Sex- and Gender-Specific Drivers of DiseaseR01HG011393 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI DEMEO, DAWN L, QUACKENBUSH, JOHN · 2021 to 2024
$2.1M
Multi-omic Risk Prediction of Chronic Obstructive Pulmonary Disease in European- and African-Ancestry Populations_SupplementK08HL159318 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI Matthew R Moll · 2022 to 2026
$918k
Mentoring in Patient Oriented Research in Lung Disease through the Lens of Sex as a Biological VariableK24HL171900 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI DAWN L DEMEO · 2024 to 2026
$386k
NHGRI NIH HHS R01 HG011393NHLBI NIH HHS 75N92023D00011NHLBI NIH HHS K08 HL159318NHLBI NIH HHS K24 HL171900NHLBI NIH HHS P01 HL114501NHLBI NIH HHS R01 HL133135NHLBI NIH HHS R01 HL137995NHLBI NIH HHS R01 HL152728NHLBI NIH HHS R01 HL152735NHLBI NIH HHS U01 HL089856NHLBI NIH HHS U01 HL089897
6 · The paper itself

Abstract

Rationale: Individuals homozygous for the Alpha-1 Antitrypsin (AAT) Z allele (Pi*ZZ) exhibit heterogeneity in COPD risk. COPD occurrence in non-smokers with AAT deficiency (AATD) suggests inflammatory processes may contribute to COPD risk independently of smoking. We hypothesized that inflammatory protein biomarkers in non-AATD COPD are associated with moderate-to-severe COPD in AATD individuals, after accounting for clinical factors. Methods: Participants from the COPDGene (Pi*MM) and AAT Genetic Modifier Study (Pi*ZZ) were included. Proteins associated with FEV Results: Among 4,446 Pi*MM and 352 Pi*ZZ individuals, sixteen blood proteins were associated with airflow obstruction, fourteen of which were highly expressed in lung. PPI networks implicated regulation of immune system function, cytokine and interleukin signaling, and matrix metalloproteinases. Eleven proteins, including IL4R, were linked to augmentation therapy. Drug repurposing identified antibiotics, thyroid medications, hormone therapies, and antihistamines as potential AATD treatments. Adding protRS improved COPD prediction in AAT GMS (AUC 0.86 vs. 0.80, p = 0.0001). AGER was the top-ranked protein predictor of COPD. Conclusions: Sixteen proteins are associated with COPD and inflammatory processes that predict airflow obstruction in AATD after accounting for age and smoking. Immune activation and inflammation are modulators of COPD risk in AATD.

Identifiers

PMID39867385
PMCPMC11759610

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