Evidence map›Paper›PMID 40894069›Full record

ArticleResearch square2025

Molecular Determinants of Lung Function Decline: A Multi- Level Analysis of Gene Expression.

Zaid W Elhusseini, Omar Rafique, Min Hyung Ryu, Peter Castaldi, Don D Sin, Ingo Ruczinski, Craig P Hersh

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in Research square, 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

7 authors.

Zaid W ElhusseiniHarvard Medical School.
Omar RafiqueHarvard Medical School.
Min Hyung RyuSt. Paul's Hospital, University of British Columbia.
Peter CastaldiHarvard Medical School.
Don D SinSt. Paul's Hospital, University of British Columbia.
Ingo RuczinskiJohns Hopkins Bloomberg School of Public Health.
Craig P HershHarvard Medical School.

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
Genetic Epidemiology of COPDU01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2007 to 2021
$20.7M
Defining a gene expression signature of airway disease, COPD exacerbations, and response to treatmentR01HL166231 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI CRAIG P HERSH · 2023 to 2026
$3.3M
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
Patient oriented research and mentoring in COPD biomarker studiesK24HL173667 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI CRAIG P HERSH · 2025 to 2026
$264k
NHLBI NIH HHS 75N92023D00011NHLBI NIH HHS K24 HL173667NHLBI NIH HHS R01 HL157879NHLBI NIH HHS R01 HL166231NHLBI NIH HHS U01 HL089856NHLBI NIH HHS U01 HL089897
6 · The paper itself

Abstract

Background: Chronic obstructive pulmonary disease (COPD) is characterized by progressive lung function decline, commonly measured by forced expiratory volume in one second (FEV Methods: We analyzed whole blood RNA-sequencing data from the 5 (n = 4,147) and 10 year visits (n = 435) in the COPDGene Study. Gene expression was assessed in three analyses: cross-sectional associations with FEV Results: Distinct gene sets emerged in the three analyses (Cross-sectional: 961 genes; FEV Conclusions: These findings reveal molecular markers of FEV

Indexed as

BiomarkersCOPDLongitudinal analysisPulmonary function testsRNA-sequencing

Identifiers

PMID40894069
PMCPMC12393492

What Socratic holds

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LicenceCC BY
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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 Socratic graph.