Evidence map›Paper›PMID 29481576›Full record

ArticlePloS one2018

Comparative and network-based proteomic analysis of low dose ethanol- and lipopolysaccharide-induced macrophages.

Abu Hena M Kamal, Michael B Fessler, Saiful M Chowdhury

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 23 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

3 authors at 2 institutions in 1 country.

Abu Hena M KamalDepartment of Chemistry and Biochemistry, University of Texas at Arlington, Arlington, Texas, United States of America.
Michael B FesslerImmunity, Inflammation and Disease Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, United States of America.
Saiful M ChowdhuryDepartment of Chemistry and Biochemistry, University of Texas at Arlington, Arlington, Texas, United States of America.ORCID 0000-0002-2553-985X
The University of Texas at Arlington · USNational Institutes of Health · US

Funding

Cell Signaling of Host DefenseZIAES102005 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI FESSLER, MICHAEL B · 2009 to 2025
$41.7M
Cell Signaling of Host DefenseZ01ES102005 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI FESSLER, MICHAEL B · 2006 to 2008
$3.3M
Identifying host-defense interactome caused by environmental and external agentsUA5GM113216 · NIGMS · UNIVERSITY OF TEXAS ARLINGTON · PI CHOWDHURY, SAIFUL M · 2015 to 2015
$355k
Intramural NIH HHS Z01 ES102005NIGMS NIH HHS UA5 GM113216
6 · The paper itself

Abstract

Macrophages are specialized phagocytes that play an essential role in inflammation, immunity, and tissue repair. Profiling the global proteomic response of macrophages to microbial molecules such as bacterial lipopolysaccharide is key to understanding fundamental mechanisms of inflammatory disease. Ethanol is a widely abused substance that has complex effects on inflammation. Reports have indicated that ethanol can activate or inhibit the lipopolysaccharide receptor, Toll-like Receptor 4, in different settings, with important consequences for liver and neurologic inflammation, but the underlying mechanisms are poorly understood. To profile the sequential effect of low dose ethanol and lipopolysaccharide on macrophages, a gel-free proteomic technique was applied to RAW 264.7 macrophages. Five hundred four differentially expressed proteins were identified and quantified with high confidence using ≥ 5 peptide spectral matches. Among these, 319 proteins were shared across all treatment conditions, and 69 proteins were exclusively identified in ethanol-treated or lipopolysaccharide-stimulated cells. The interactive impact of ethanol and lipopolysaccharide on the macrophage proteome was evaluated using bioinformatics tools, enabling identification of differentially responsive proteins, protein interaction networks, disease- and function-based networks, canonical pathways, and upstream regulators. Five candidate protein coding genes (PGM2, ISYNA1, PARP1, and PSAP) were further validated by qRT-PCR that mostly related to glucose metabolism and fatty acid synthesis pathways. Taken together, this study describes for the first time at a systems level the interaction between ethanol and lipopolysaccharide in the proteomic programming of macrophages, and offers new mechanistic insights into the biology that may underlie the impact of ethanol on infectious and inflammatory disease in humans.

Indexed as

AnimalsCell LineEthanolInflammationLipopolysaccharidesMacrophagesMiceProteomeProteomicsSignal TransductionEthanolLipopolysaccharidesProteome

Identifiers

PMID29481576
PMCPMC5826526
OpenAlexW2788691422

What OpenQuestion holds

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LicenceCC0
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.