Evidence map›Paper›PMID 22847105›Full record

ReviewCurrent opinion in pulmonary medicine2012

Biomarkers in idiopathic pulmonary fibrosis.

Yingze Zhang, Naftali Kaminski

Abstract readReview
In one paragraph

Review in Current opinion in pulmonary medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
9.8field-weighted citation impact, top 1% 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

48 citing papers in PubMed, 1 synthesis or guideline pooled it, 107 citations in OpenAlex.

  1. Pooled it
  2. Ancestry and genetic associations with bronchopulmonary dysplasia in preterm infants.American journal of physiology. Lung cellular and molecular physiology · 2018
    Trial
  3. Article
  4. Article
  5. Article
  6. Biomarkers in idiopathic pulmonary fibrosis: Current insight and future direction.Chinese medical journal pulmonary and critical care medicine · 2024
    Article
  7. Review
  8. Review
  9. Review
  10. Observational
  11. Review
  12. Review
  13. Article
  14. Article
  15. Therapeutic targeting of argininosuccinate synthase 1 (ASS1)-deficient pulmonary fibrosis.Molecular therapy : the journal of the American Society of Gene Therapy · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. Pulmonary Aptamer Signatures in Children's Interstitial and Diffuse Lung Disease.American journal of respiratory and critical care medicine · 2019
    Article
  20. Review
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

2 authors at 1 institution in 1 country.

Yingze ZhangDivision of Pulmonary, Allergy and Critical Care Medicine, Dorothy P. and Richard P. Simmons Center for Interstitial Lung Disease, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, USA.
Naftali Kaminski
University of Pittsburgh · US

Funding

Lung Genomics Research ConsortiumRC2HL101715 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI GERACI, MARK W, KAMINSKI, NAFTALI · 2009 to 2010
$11.4M
Sarcoidosis and A1AT Genomics & Informatics CenterU01HL112707 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BECICH, MICHAEL JOHN, KAMINSKI, NAFTALI · 2012 to 2015
$8.5M
Molecular Phenotypes within and across disease boundaries in IPF and COPDR01HL095397 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KAMINSKI, NAFTALI, SHAPIRO, STEVEN D · 2008 to 2011
$3.0M
Modeling in vivo Protein-DNA Interactions from High-Throughput Data MP1/1R01LM009657 · NLM · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BENOS, PANAGIOTIS V, KAMINSKI, NAFTALI · 2007 to 2011
$2.5M
Gene networks beyond organ boundaries; heart, lung and pulmonary vascular diseaseU01HL108642 · NHLBI · YALE UNIVERSITY · PI AHMAD, FERHAAN, BENOS, PANAGIOTIS V · 2011 to 2014
$2.2M
NHLBI NIH HHS R01 HL095397NHLBI NIH HHS R01HL095397NHLBI NIH HHS RC2 HL101715NHLBI NIH HHS RC2HL101715NHLBI NIH HHS U01 HL108642NHLBI NIH HHS U01HL108642NHLBI NIH HHS U01 HL112707NHLBI NIH HHS U01HL112707NLM NIH HHS R01 LM009657NLM NIH HHS R01LM009657
6 · The paper itself

Abstract

purpose of reviewThis review examines the recent literature on molecular biomarkers of idiopathic pulmonary fibrosis (IPF). Specific attention is dedicated to the recent studies that identified the genes associated with IPF and the peripheral blood biomarkers that predict outcome in IPF. RECENT

findingsMultiple studies attempted to identify diagnostic and predictive biomarkers in IPF. Until recently, these studies were limited in size and lacked replication, but still when taken together provided convincing evidence that changes in blood proteins (KL-6, SP-A, MMP-7, CCL-18, among others) or cells (fibrocytes and T-cell subpopulations) are indicative of the disease presence and outcome. More recently, larger studies have identified gene polymorphisms associated with IPF, as well as protein markers and integrated clinical and molecular prediction rules that accurately predict outcome in patients with IPF. SUMMARY: The peripheral blood contains disease presence and outcome relevant information, and suggests distinct biologically defined outcome trajectories in patients with IPF. Although recently identified biomarkers should still be validated in multiple clinical contexts, there is sufficient evidence to suggest that collection of peripheral blood biomarkers needs to be incorporated in the design of drug studies and that some of these markers be clinically evaluated in lung transplant prioritization.

Indexed as

BiomarkersChemokines, CCHumansIdiopathic Pulmonary FibrosisMatrix Metalloproteinase 7Mucin-1Predictive Value of TestsPrognosisPulmonary Surfactant-Associated Protein ABiomarkersCCL18 protein, humanChemokines, CCMatrix Metalloproteinase 7MUC1 protein, humanMucin-1Pulmonary Surfactant-Associated Protein A

Identifiers

PMID22847105
PMCPMC4165635
OpenAlexW2330561691

What OpenQuestion holds

Textmetadata
LicenceTDM
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.