Evidence map›Paper›PMID 34038697›Full record

ArticleAmerican journal of respiratory cell and molecular biology2021

Molecular Signatures of Idiopathic Pulmonary Fibrosis.

Iain R Konigsberg, Raphael Borie, Avram D Walts, Jonathan Cardwell, Mauricio Rojas, Fabian Metzger, Stefanie M Hauck, Tasha E Fingerlin, Ivana V Yang, David A Schwartz

Open access · greenAbstract read
In one paragraph

Article in American journal of respiratory cell and molecular biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
7.3field-weighted citation impact, top 2% 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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Review
  7. Multi-omics to study chronic respiratory diseases and viral infections.European respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  8. Article
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  10. Article
  11. Review
  12. Article
  13. Adiponectin suppresses stiffness-dependent, profibrotic activation of lung fibroblasts.American journal of physiology. Lung cellular and molecular physiology · 2024
    Article
  14. Review
  15. Review
  16. Article
  17. The Genetic Landscape of Familial Pulmonary Fibrosis.American journal of respiratory and critical care medicine · 2023
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 3 countries.

Iain R KonigsbergDepartment of Medicine, Anschutz Medical Campus, University of Colorado, Aurora, Colorado.
Raphael BorieDepartment of Medicine, Bichat Hospital, Paris, France.ORCID 0000-0002-9906-0024
Avram D WaltsDepartment of Medicine, Anschutz Medical Campus, University of Colorado, Aurora, Colorado.
Jonathan CardwellDepartment of Medicine, Anschutz Medical Campus, University of Colorado, Aurora, Colorado.
Mauricio RojasDepartment of Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
Fabian MetzgerResearch Unit for Protein Science, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany; and.
Stefanie M HauckResearch Unit for Protein Science, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany; and.
Tasha E FingerlinDepartment of Immunology and Genomic Medicine and Center for Genes, Environment and Health, National Jewish Health, Denver, Colorado.
Ivana V YangDepartment of Medicine, Anschutz Medical Campus, University of Colorado, Aurora, Colorado.
David A SchwartzDepartment of Medicine, Anschutz Medical Campus, University of Colorado, Aurora, Colorado.
University of Colorado Anschutz Medical Campus · USHelmholtz Zentrum München · DEHôpital Bichat-Claude-Bernard · FRNational Jewish Health · USUniversity of Pittsburgh Medical Center · US

Funding

Mechanisms of Familial Pulmonary FibrosisP01HL092870 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BLACKWELL, TIMOTHY S. · 2010 to 2020
$21.6M
Preclinical Pulmonary Fibrosis, an opportune rare disease cohortUH3HL151865 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI SCHWARTZ, DAVID ALBERT · 2022 to 2025
$4.3M
NRSA Training CoreTL1TR002533 · NCATS · UNIVERSITY OF COLORADO DENVER · PI CICUTTO, LISA · 2018 to 2022
$3.0M
Genes and Transcripts that Interact with MUC5B in Pulmonary FibrosisR01HL149836 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI CLOUTHIER, DAVID E., SCHWARTZ, DAVID ALBERT · 2020 to 2023
$3.0M
Mapping Age-Related Changes in the LungU01HL145550 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BENOS, PANAGIOTIS V, FINKEL, TOREN · 2019 to 2022
$2.4M
BLRD VA I01 BX005295NCATS NIH HHS TL1 TR002533NHLBI NIH HHS P01 HL092870NHLBI NIH HHS R01 HL149836NHLBI NIH HHS U01 HL145550NHLBI NIH HHS UH3 HL151865
6 · The paper itself

Abstract

Molecular patterns and pathways in idiopathic pulmonary fibrosis (IPF) have been extensively investigated, but few studies have assimilated multiomic platforms to provide an integrative understanding of molecular patterns that are relevant in IPF. Herein, we combine the coding and noncoding transcriptomes, DNA methylomes, and proteomes from IPF and healthy lung tissue to identify molecules and pathways associated with this disease. RNA sequencing, Illumina MethylationEPIC array, and liquid chromatography-mass spectrometry proteomic data were collected on lung tissue from 24 subjects with IPF and 14 control subjects. Significant differential features were identified by using linear models adjusting for age and sex, inflation, and bias when appropriate. Data Integration Analysis for Biomarker Discovery Using a Latent Component Method for Omics Studies was used for integrative multiomic analysis. We identified 4,643 differentially expressed transcripts aligning to 3,439 genes, 998 differentially abundant proteins, 2,500 differentially methylated regions, and 1,269 differentially expressed long noncoding RNAs (lncRNAs) that were significant after correcting for multiple tests (false discovery rate < 0.05). Unsupervised hierarchical clustering using 20 coding mRNA, protein, methylation, and lncRNA features with the highest loadings on the top latent variable from the four data sets demonstrates perfect separation of IPF and control lungs. Our analysis confirmed previously validated molecules and pathways known to be dysregulated in disease and implicated novel molecular features as potential drivers and modifiers of disease. For example, 4 proteins, 18 differentially methylated regions, and 10 lncRNAs were found to have strong correlations (|

Indexed as

AgedCase-Control StudiesFemaleGene Expression ProfilingHumansIdiopathic Pulmonary FibrosisLungMaleMatrix Metalloproteinase 7Middle AgedRNA, Long NoncodingRNA, MessengerTranscriptomeMatrix Metalloproteinase 7RNA, Long NoncodingRNA, Messengermethylomemultiomicsproteomesystems biologytranscriptome

Identifiers

PMID34038697
PMCPMC8525208
OpenAlexW3165522953

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.