Evidence map›Paper›PMID 35334492›Full record

ArticleJournal of clinical laboratory analysis2022

Biomarkers of connective tissue disease-associated interstitial lung disease in bronchoalveolar lavage fluid: A label-free mass spectrometry-based relative quantification study.

Jing Ye, Pengcheng Liu, Renming Li, Hui Liu, Wenjing Pei, Changxiu Ma, Bing Shen, Dahai Zhao, Xiaoyu Chen

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Jing YeDepartment of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.ORCID https://orcid.org/0000-0002-5741-2896
Pengcheng LiuDepartment of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
Renming LiDepartment of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
Hui LiuDepartment of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
Wenjing PeiDepartment of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
Changxiu MaDepartment of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
Bing ShenSchool of Basic Medicine, Anhui Medical University, Hefei, China.
Dahai ZhaoDepartment of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.ORCID https://orcid.org/0000-0003-1500-5608
Xiaoyu ChenSchool of Basic Medicine, Anhui Medical University, Hefei, China.
Anhui Medical University · CN

Funding

Anhui Medical University Basic and Clinical Cooperative Research Promotion Plan 2019xkjT027Key Research and Development Project of Anhui Province 201904a07020064Research Fund of Anhui Medical University 2019xkj135
6 · The paper itself

Abstract

backgroundThe pathogenesis of connective tissue disease-associated interstitial lung disease (CTD-ILD) is unclear. This study aims to identify differentially expressed proteins (DEPs) in CTD-ILD to determine the potential role of these DEPs that may play in the pathogenesis of CTD-ILD and to offer potential therapeutic targets.

methodsBronchoalveolar lavage fluid (BALF) samples were collected from four patients with CTD-ILD and four patients without CTD-ILD. Label-free mass spectrometry-based relative quantification was used to identify the DEPs. Bioinformatics were used to determine the potential biological processes and signaling pathways associated with these DEPs.

resultsWe found 65 upregulated DEPs including SFTPD, CADM1, ACSL4, TSTD1, CD163, LUM, SIGLEC1, CPB2, TGFBI and HGD, and 67 downregulated DEPs including SGSH, WIPF1, SIL1, RAB20, OAS3, GMPR2, PLBD1, DNAJC3, RNASET2 and OAS2. The results of GO functional annotation for the DEPs showed that the DEPS were mainly enriched in the binding, cellular anatomical entity, cellular processes, and biological regulation GO terms. The results of KEGG analyses showed that the pathways most annotated with the DEPs were complement and coagulation cascades, metabolic pathways, pathways in cancer, and PPAR signaling pathway. COG analyses further informed the functions associated with these DEPs, with most focused on signal transduction mechanisms; posttranslational modification, protein turnover, chaperones; intracellular trafficking, secretion, and vesicular transport; amino acid transport and metabolism; and lipid transport and metabolism.

conclusionsDEPs identified between patients with vs. without CTD-ILD may play important roles in the development of CTD-ILD and are potential new biomarkers for early diagnosis of CTD-ILD.

Indexed as

Connective Tissue DiseasesLung Diseases, InterstitialBiomarkersBronchoalveolar Lavage FluidCell Adhesion Molecule-1Cytoskeletal ProteinsGuanine Nucleotide Exchange FactorsHumansIntracellular Signaling Peptides and ProteinsMass Spectrometryrab GTP-Binding ProteinsBiomarkersCADM1 protein, humanCell Adhesion Molecule-1Cytoskeletal ProteinsGuanine Nucleotide Exchange FactorsIntracellular Signaling Peptides and ProteinsRab20 protein, humanrab GTP-Binding ProteinsSIL1 protein, humanWIPF1 protein, humanBALFCTD-ILDLC-MC/MSpathogenesisproteomics

Identifiers

PMID35334492
PMCPMC9102639
OpenAlexW4220902231

What OpenQuestion holds

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Registered trials

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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.