Evidence map›Paper›PMID 24111704›Full record

ArticleCOPD2014

Analysis of the plasma proteome in COPD: Novel low abundance proteins reflect the severity of lung remodeling.

Salim Merali, Carlos A Barrero, Russell P Bowler, Diane Er Chen, Gerard Criner, Alan Braverman, Samuel Litwin, Anthony Yeung, Steven G Kelsen

Abstract readMulticenter Study
In one paragraph

Article in COPD, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Understanding the impact of ER stress on lung physiology.Frontiers in cell and developmental biology · 2024
    Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Early chronic obstructive pulmonary disease: A new perspective.Chronic diseases and translational medicine · 2021
    Review
  10. Article
  11. Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
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

9 authors at 4 institutions in 1 country.

Salim Merali1Department of Biochemistry, Temple University School of Medicine , Philadelphia, PA , USA.
Carlos A Barrero
Russell P Bowler
Diane Er Chen
Gerard Criner
Alan Braverman
Samuel Litwin
Anthony Yeung
Steven G Kelsen
Temple University · USFox Chase Cancer Center · USSigma Research (United States) · USUniversity of Colorado Denver · US

Funding

Metabolomic signatures of empysema and COPD progression in the COPDGene cohortR01HL089897 · NHLBI · NATIONAL JEWISH HEALTH · PI CRAPO, JAMES D · 2012 to 2016
$31.1M
(2 of 2) Genetic Epidemiology of COPDR01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2012 to 2016
$18.9M
Ancillary Study: Identification of Plasma Biomarkers in COPDRC2HL101713 · NHLBI · TEMPLE UNIV OF THE COMMONWEALTH · PI KELSEN, STEVEN G, MERALI, SALIM · 2009 to 2010
$1.6M
Metabolome and proteome profiles of emphysema and airway diseaseR01HL095432 · NHLBI · NATIONAL JEWISH HEALTH · PI BOWLER, RUSSELL PAUL · 2009 to 2012
$1.6M
Sphingolipids and inflammatory biomarkers of COPD progression in healthy smokersR01HL129937 · NHLBI · NATIONAL JEWISH HEALTH · PI BOWLER, RUSSELL PAUL · 2015 to 2017
$1.3M
NHLBI NIH HHS 2R01 HL089856NHLBI NIH HHS 2R01 HL089897NHLBI NIH HHS 5RC2 HL101713NHLBI NIH HHS R01 HL089856NHLBI NIH HHS R01 HL089897NHLBI NIH HHS R01 HL 095432NHLBI NIH HHS R01 HL095432NHLBI NIH HHS R01 HL129937NHLBI NIH HHS RC2 HL101713
6 · The paper itself

Abstract

The search for COPD biomarkers has largely employed a targeted approach that focuses on plasma proteins involved in the systemic inflammatory response and in lung injury and repair. This proof of concept study was designed to test the idea that an open, unbiased, in-depth proteomics approach could identify novel, low abundance plasma proteins i.e., ng/mL concentration, which could serve as potential biomarkers. Differentially expressed proteins were identified in a discovery group with severe COPD (FEV1 <45% predicted; n = 10). Subjects with normal lung function matched for age, sex, ethnicity and smoking history served as controls (n = 10). Pooled plasma from each group was exhaustively immunodepleted of abundant proteins, d separated by 1-D gel electrophoresis and extensively fractionated prior to LC-tandem mass spectroscopy (GeLC-MS). Thirty one differentially expressed proteins were identified in the discovery group including markers of lung defense against oxidant stress, alveolar macrophage activation, and lung tissue injury and repair. Four of the 31 proteins (i.e., GRP78, soluble CD163, IL1AP and MSPT9) were measured in a separate verification group of 80 subjects with varying COPD severity by immunoassay. All 4 were significantly altered in COPD and 2 (GRP78 and soluble CD163) correlated with both FEV1 and the extent of emphysema. In-depth, plasma proteomic analysis identified a group of novel, differentially expressed, low abundance proteins that reflect known pathogenic mechanisms and the severity of lung remodeling in COPD. These proteins may also prove useful as COPD biomarkers.

Indexed as

Airway RemodelingAgedBiomarkersBlood ProteinsCase-Control StudiesEndoplasmic Reticulum Chaperone BiPForced Expiratory VolumeGenome-Wide Association StudyHumansMaleMiddle AgedProteomicsPulmonary Disease, Chronic ObstructiveSensitivity and SpecificitySeverity of Illness IndexWhite PeopleBiomarkersBlood ProteinsEndoplasmic Reticulum Chaperone BiPHSPA5 protein, human

Identifiers

PMID24111704
PMCPMC4497366
OpenAlexW2046684143

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.