Evidence map›Paper›PMID 34113087›Full record

ArticleInternational journal of chronic obstructive pulmonary disease

A Proteomics-Based Analysis of Blood Biomarkers for the Diagnosis of COPD Acute Exacerbation.

Soo Han Kim, Hee-Sung Ahn, Jin-Soo Park, Jeonghun Yeom, Jiyoung Yu, Kyunggon Kim, Yeon-Mok Oh

Open access · goldAbstract read
In one paragraph

Article in International journal of chronic obstructive pulmonary disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
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  7. Prognostic Biomarkers Based on Proteomic Technology in COPD: A Recent Review.International journal of chronic obstructive pulmonary disease · 2023
    Review
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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

7 authors at 3 institutions in 1 country.

Soo Han Kim *Department of Internal Medicine, Biomedical Research Institute, Pusan National University Hospital, Busan, 49241, Korea.
Hee-Sung Ahn *Asan Institute for Life Science, Asan Medical Center, Seoul, Korea.ORCID 0000-0003-2241-6536
Jin-Soo ParkAsan Institute for Life Science, Asan Medical Center, Seoul, Korea.
Jeonghun YeomConvergence Medicine Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea.
Jiyoung YuAsan Institute for Life Science, Asan Medical Center, Seoul, Korea.
Kyunggon KimAsan Institute for Life Science, Asan Medical Center, Seoul, Korea.
Yeon-Mok OhDepartment of Pulmonary and Critical Care Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.ORCID 0000-0003-0116-4683
Asan Medical Center · KRUlsan College · KRPusan National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe identification of blood biomarkers to diagnose acute exacerbation of chronic obstructive pulmonary disease (AECOPD) will have clinical utility. Here, we used a proteomics-based approach to identify biomarkers capable of identifying AECOPD. PATIENTS AND

methodsThis prospective, single-center pilot study enrolled 12 patients who came to Asan Medical Center (South Korea) via the outpatient clinic or emergency department with symptoms of AECOPD and were follow-up in the outpatient clinic during convalescence between 2015 and 2017. Paired blood samples collected from each patient during the treatment naïve AECOPD and convalescence stages were analyzed. A sequential window acquisition of all theoretical fragmentation spectra-mass spectrometry (SWATH-MS)-based proteome analysis was performed and a subset of the data were verified by ELISA.

resultsThe SWATH-MS analysis identified 226 plasma proteins across all samples examined. The median coefficient of variation for triplicate technical replicates of each sample was 1.13 ± 1.38%, indicating high precision of the technique. Fold-change and paired

conclusionPotential plasma biomarkers of AECOPD were discovered using the SWATH-MS proteomics method, and functional molecular associations were investigated. SERPINA3 could be a promising diagnostic biomarker for the early identification and tracking of AECOPD.

Indexed as

ProteomicsPulmonary Disease, Chronic ObstructiveBiomarkersDisease ProgressionHumansPilot ProjectsProspective StudiesRepublic of KoreaBiomarkersbiomarkerCOPDELISAmass spectrometryplasmaSWATH

Identifiers

PMID34113087
PMCPMC8183188
OpenAlexW3172453232

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.