Evidence map›Paper›PMID 24188068›Full record

ArticleJournal of proteome research2014

Large-scale, ion-current-based proteomics investigation of bronchoalveolar lavage fluid in chronic obstructive pulmonary disease patients.

Chengjian Tu, Manoj Jacob Mammen, Jun Li, Xiaomeng Shen, Xiaosheng Jiang, Qiang Hu, Jianmin Wang, Sanjay Sethi, Jun Qu

Open access · greenAbstract readValidation Study
In one paragraph

Article in Journal of proteome research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
5.0field-weighted citation impact, top 4% 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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.

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  19. Application of Proteomics in Sarcoidosis.American journal of respiratory cell and molecular biology · 2020
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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 3 institutions in 1 country.

Chengjian Tu *Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY 14260 USA.
Manoj Jacob Mammen *University at Buffalo, SUNY.
Jun LiDepartment of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY 14260 USA.
Xiaomeng ShenDepartment of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY 14260 USA.
Xiaosheng JiangDepartment of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY 14260 USA.
Qiang HuDepartment of Biostatistics and Bioinformatics, Roswell Park Cancer Institute, Buffalo, NY14203.
Jianmin WangDepartment of Biostatistics and Bioinformatics, Roswell Park Cancer Institute, Buffalo, NY14203.
Sanjay SethiUniversity at Buffalo, SUNY.
Jun QuDepartment of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY 14260 USA.
University at Buffalo, State University of New York · USCenter for Excellence in Education · USRoswell Park Comprehensive Cancer Center · US

Funding

Systems Biology of GlycosylationR01HL103411 · NHLBI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI NEELAMEGHAM, SRIRAM · 2011 to 2025
$7.1M
Synergistic Pharmacologicjntervention for Prevention of ROP (SPIPROP STUDY)U54HD071594 · NICHD · SUNY DOWNSTATE MEDICAL CENTER · PI QU, JUN · 2011 to 2015
$3.6M
Innate Immunity and exacerbations of COPDR01HL082561 · NHLBI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI SETHI, SANJAY · 2005 to 2009
$1.8M
Peripheral biomarkers of cocaine dependence and relapseR21DA027528 · NIDA · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI QU, JUN, STRAUBINGER, ROBERT M · 2009 to 2010
$631k
NHLBI NIH HHS HL082561NHLBI NIH HHS HL103411NHLBI NIH HHS R01 HL082561NHLBI NIH HHS R01 HL103411NICHD NIH HHS U54 HD071594NICHD NIH HHS U54HD071594NIDA NIH HHS DA027528NIDA NIH HHS R21 DA027528
6 · The paper itself

Abstract

Proteomic analysis of bronchoalveolar lavage fluid (BALF) in chronic obstructive pulmonary disease (COPD) patients may provide new biomarkers and deeper understanding of the disease mechanisms but remains challenging. Here we describe an ion-current-based strategy for comparative analysis of BALF proteomes from patients with moderate and stable COPD versus healthy controls. The strategy includes an efficient preparation procedure providing quantitative recovery and a nano-LC/MS analysis with a long, heated column. Under optimized conditions, high efficiency and reproducibility were achieved for each step, enabling a "20-plex" comparison of clinical subjects (n = 10/group). Without depletion/fractionation, a total of 423 unique protein groups were quantified under stringent criteria with at least two quantifiable peptides. Seventy-six proteins were determined as significantly altered in COPD, which represent a diversity of biological processes such as alcohol metabolic process, gluconeogenesis/glycolysis, inflammatory response, proteolysis, and oxidation reduction. Interestingly, altered alcohol metabolism responding to oxidant stress is a novel observation in COPD. The prominently elevated key enzymes involved in alcohol metabolism (e.g., ADH1B, ALDH2, and ALDH3A1) may provide a reasonable explanation for a bewildering observation in COPD patients known for decades: the underestimation of the blood alcohol concentrations through breath tests. These discoveries could provide new insights for identifying novel biomarkers and pathological mediators in clinical studies.

Indexed as

Bronchoalveolar Lavage FluidProteomicsBlotting, WesternBronchoscopyCase-Control StudiesChromatography, Reverse-PhaseHumansMass SpectrometryPulmonary Disease, Chronic Obstructive

Identifiers

PMID24188068
PMCPMC4073647
OpenAlexW2334039158

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.