Evidence map›Paper›PMID 34234508›Full record

ArticleJournal of inflammation research2021

The Association Between Inflammatory and Oxidative Stress Biomarkers and Plasma Metabolites in a Longitudinal Study of Healthy Male Welders.

Shangzhi Gao, Corbin Quick, Marta Guasch-Ferre, Zhu Zhuo, John M Hutchinson, Li Su, Frank Hu, Xihong Lin, David Christiani

Open access · goldAbstract read
In one paragraph

Article in Journal of inflammation research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Metabolomics and proteomics in occupational medicine: a comprehensive systematic review.Journal of occupational medicine and toxicology (London, England) · 2024
    Review
  5. Article
  6. Article
  7. Metabolomic changes in cats with renal disease and calcium oxalate uroliths.Metabolomics : Official journal of the Metabolomic Society · 2022
    Article
  8. 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

9 authors at 1 institution in 1 country.

Shangzhi GaoEnvironmental Health, Harvard University T H Chan School of Public Health, Boston, MA, USA.ORCID 0000-0003-2832-3058
Corbin QuickBiostatistics, Harvard University T H Chan School of Public Health, Boston, MA, USA.
Marta Guasch-FerreNutrition, Harvard University T H Chan School of Public Health, Boston, MA, USA.
Zhu ZhuoBiostatistics, Harvard University T H Chan School of Public Health, Boston, MA, USA.ORCID 0000-0003-4787-017X
John M HutchinsonBiostatistics, Harvard University T H Chan School of Public Health, Boston, MA, USA.
Li SuEnvironmental Health, Harvard University T H Chan School of Public Health, Boston, MA, USA.
Frank HuNutrition, Harvard University T H Chan School of Public Health, Boston, MA, USA.
Xihong LinBiostatistics, Harvard University T H Chan School of Public Health, Boston, MA, USA.
David ChristianiEnvironmental Health, Harvard University T H Chan School of Public Health, Boston, MA, USA.
Harvard University · US

Funding

The Cardiopulmonary Effects of Particulate ExposureR01ES009860 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI CHRISTIANI, DAVID C · 1999 to 2014
$4.0M
ACL HHS T42OH008416NIEHS NIH HHS R01 ES009860NIOSH CDC HHS T42 OH008416
6 · The paper itself

Abstract

introductionHuman metabolism and inflammation are closely related modulators of homeostasis and immunity. Metabolic profiling is a useful tool to understand the association between metabolism and inflammation at a systemic level.

objectiveTo investigate the longitudinal associations between the concentration of plasma metabolites and biomarkers related to inflammation and oxidative stress.

methodsWe conducted a repeated cross-sectional analysis consisting of 8 short-term panels that included 88 healthy adult male welders in Massachusetts, USA. In each panel, we collected 1-6 repeated measurements of blood and urine. We used a human vascular injury panel assay and custom cytokine/chemokine assay to quantify inflammatory biomarker plasma levels, liquid chromatography-mass spectrometry to quantify the concentrations of 665 plasma metabolites, and a competitive enzyme-linked immunoassay to quantify urinary 8-OHdG and 8-isoprostane levels. We used linear mixed effects models to estimate the longitudinal association between each inflammatory and oxidative stress biomarker and each metabolite.

resultsAt a 5% FDR threshold, we detected ≥1metabolite association for 8 unique inflammatory and oxidative stress biomarkers: urinary 8-isoprostane, plasma C-reactive protein (CRP), serum amyloid A (SAA), intercellular adhesion molecule 1, circulating vascular cell adhesion molecule-1, interleukin 8 (IL-8), interleukin 10 (IL-10) and vascular endothelial growth factor. Specifically, 3 metabolites in the androgenic steroids pathway were negatively associated with SAA; 3 dihydrosphingomyelins metabolites were positively associated with 1 or more of CRP, SAA, IL-8 and IL-10; 4 metabolites in acyl choline metabolism pathways were negatively associated with IL-8; 7 lysophospholipid metabolites were negatively associated with 1 or more of CRP, SAA and IL-8; 4 sphingomyelins were positively associated with CRP and/or SAA; and 10 metabolites in the xanthine pathway were positively associated with urinary 8-isoprostane.

conclusionWe found that metabolites in phospholipid groups had strong associations with multiple inflammatory biomarkers, especially CRP, SAA and IL-8. The mechanism of these associations warrants further investigation.

Indexed as

inflammationmetabolismmetabolomicsmetalsoccupational healthparticulatesphospholipids

Identifiers

PMID34234508
PMCPMC8254568
OpenAlexW3176371575

What OpenQuestion holds

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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.