Evidence map›Paper›PMID 35631392›Full record

ArticlePharmaceuticals (Basel, Switzerland)2022

Proteomic Network Analysis of Bronchoalveolar Lavage Fluid in Ex-Smokers to Discover Implicated Protein Targets and Novel Drug Treatments for Chronic Obstructive Pulmonary Disease.

Manoj J Mammen, Chengjian Tu, Matthew C Morris, Spencer Richman, William Mangione, Zackary Falls, Jun Qu, Gordon Broderick, Sanjay Sethi, Ram Samudrala

Open access · goldAbstract read
In one paragraph

Article in Pharmaceuticals (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Pneumonic Injury and Repair: A Synopsis.Pharmaceuticals (Basel, Switzerland) · 2023
    Article
  11. 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

10 authors at 4 institutions in 1 country.

Manoj J MammenDepartment of Medicine, School of Medicine and Dentistry, University of Rochester, Rochester, NY 14642, USA.ORCID 0000-0003-0343-3234
Chengjian TuDepartment of Pharmaceutical Sciences, State University of New York at Buffalo, Buffalo, NY 14260, USA.
Matthew C MorrisCenter for Clinical Systems Biology, Rochester General Hospital, Rochester, NY 14621, USA.ORCID 0000-0002-1236-1255
Spencer RichmanCenter for Clinical Systems Biology, Rochester General Hospital, Rochester, NY 14621, USA.
William MangioneDepartment of Biomedical Informatics, Jacobs School of Medicine and Biological Sciences, State University of New York, Buffalo, NY 14214, USA.ORCID 0000-0003-0582-4247
Zackary FallsDepartment of Biomedical Informatics, Jacobs School of Medicine and Biological Sciences, State University of New York, Buffalo, NY 14214, USA.ORCID 0000-0003-4116-0441
Jun QuDepartment of Pharmaceutical Sciences, State University of New York at Buffalo, Buffalo, NY 14260, USA.ORCID 0000-0002-1346-6809
Gordon BroderickCenter for Clinical Systems Biology, Rochester General Hospital, Rochester, NY 14621, USA.
Sanjay SethiWNY VA Healthcare System, Buffalo, NY 14215, USA.
Ram SamudralaDepartment of Biomedical Informatics, Jacobs School of Medicine and Biological Sciences, State University of New York, Buffalo, NY 14214, USA.ORCID 0000-0001-9069-8497
Jacobs (United States) · USRochester General Hospital · USUniversity at Buffalo, State University of New York · USVA Western New York Healthcare System · US

Funding

University of Buffalo Clinical and Translational Science Institute - Supplement SchulyerUL1TR001412 · NCATS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI MURPHY, TIMOTHY F · 2015 to 2024
$33.8M
National Library of Medicine Conference 2022T15LM012495 · NLM · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI PETER L. ELKIN · 2017 to 2026
$4.3M
Synergistic Pharmacologicjntervention for Prevention of ROP (SPIPROP STUDY)U54HD071594 · NICHD · SUNY DOWNSTATE MEDICAL CENTER · PI QU, JUN · 2011 to 2015
$3.6M
NOVEL PARADIGMS FOR DRUG DISCOVERY: COMPUTATIONAL MULTITARGET SCREENINGDP1LM011509 · NLM · UNIVERSITY OF WASHINGTON · PI SAMUDRALA, RAM · 2012 to 2014
$2.4M
NOVEL PARADIGMS FOR DRUG DISCOVERY: COMPUTATIONAL MULTITARGET SCREENINGDP1OD006779 · OD · UNIVERSITY OF WASHINGTON · PI SAMUDRALA, RAM · 2010 to 2011
$1.7M
Acquisition of High Performance Data and Computing Infrastructure to Advance Biomedical ResearchS10OD024973 · OD · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI FURLANI, THOMAS · 2019 to 2019
$1.0M
NCATS NIH HHS UL1 TR001412NICHD NIH HHS U54 HD071594NIH HHS DP1 OD006779NIH HHS DP1OD006779NIH HHS T15LM012495NIH HHS U54HD071594NIH HHS UL1TR001412NLM NIH HHS DP1 LM011509NLM NIH HHS T15 LM012495
6 · The paper itself

Abstract

Bronchoalveolar lavage of the epithelial lining fluid (BALF) can sample the profound changes in the airway lumen milieu prevalent in chronic obstructive pulmonary disease (COPD). We compared the BALF proteome of ex-smokers with moderate COPD who are not in exacerbation status to non-smoking healthy control subjects and applied proteome-scale translational bioinformatics approaches to identify potential therapeutic protein targets and drugs that modulate these proteins for the treatment of COPD. Proteomic profiles of BALF were obtained from (1) never-smoker control subjects with normal lung function (n = 10) or (2) individuals with stable moderate (GOLD stage 2, FEV1 50−80% predicted, FEV1/FVC < 0.70) COPD who were ex-smokers for at least 1 year (n = 10). After identifying potential crucial hub proteins, drug−proteome interaction signatures were ranked by the computational analysis of novel drug opportunities (CANDO) platform for multiscale therapeutic discovery to identify potentially repurposable drugs. Subsequently, a literature-based knowledge graph was utilized to rank combinations of drugs that most likely ameliorate inflammatory processes. Proteomic network analysis demonstrated that 233 of the >1800 proteins identified in the BALF were significantly differentially expressed in COPD versus control. Functional annotation of the differentially expressed proteins was used to detail canonical pathways containing the differential expressed proteins. Topological network analysis demonstrated that four putative proteins act as central node proteins in COPD. The drugs with the most similar interaction signatures to approved COPD drugs were extracted with the CANDO platform. The drugs identified using CANDO were subsequently analyzed using a knowledge-based technique to determine an optimal two-drug combination that had the most appropriate effect on the central node proteins. Network analysis of the BALF proteome identified critical targets that have critical roles in modulating COPD pathogenesis, for which we identified several drugs that could be repurposed to treat COPD using a multiscale shotgun drug discovery approach.

Indexed as

biomarkerbronchoalveolar lavage fluidchronic obstructive pulmonary diseasedrug repurposinginteraction signaturelabel-free quantitationplasmaproteomicsserumtranslational bioinformatics

Identifiers

PMID35631392
PMCPMC9147475
OpenAlexW4225264311

What OpenQuestion holds

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LicenceCC BY
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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.