Evidence map›Paper›PMID 34089746›Full record

ArticleEnvironmental research2021

Changes in arachidonic acid (AA)- and linoleic acid (LA)-derived hydroxy metabolites and their interplay with inflammatory biomarkers in response to drastic changes in air pollution exposure.

Kexin Zhu, Richard W Browne, Rachael Hageman Blair, Matthew R Bonner, Mingmei Tian, Zhongzheng Niu, Furong Deng, Zeinab Farhat, Lina Mu

Open access · greenAbstract read
In one paragraph

Article in Environmental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 21% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 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 2 institutions in 2 countries.

Kexin ZhuDepartment of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA.
Richard W BrowneDepartment of Biotechnical and Clinical Laboratory Sciences, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA.
Rachael Hageman BlairDepartment of Biostatistics, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA.
Matthew R BonnerDepartment of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA.
Mingmei TianDepartment of Biostatistics, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA.
Zhongzheng NiuDepartment of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA.
Furong DengDepartment of Occupational and Environmental Health, School of Public Health, Peking University, Beijing, China.
Zeinab FarhatDepartment of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA.
Lina MuDepartment of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA. Electronic address: linamu@buffalo.edu.
University at Buffalo, State University of New York · USPeking University · CN

Funding

Biological Response to Air Quality Change in Beijing pre-, mid- and post-OlympicsR01ES018846 · NIEHS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI MU, LINA · 2011 to 2013
$1.3M
Metabolomics Profiling of Biological Responses to Changes in Air Pollution LevelsR21ES026429 · NIEHS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI MU, LINA · 2016 to 2017
$426k
NIEHS NIH HHS R01 ES018846NIEHS NIH HHS R21 ES026429
6 · The paper itself

Abstract

backgroundUntargeted metabolomics analyses have indicated that fatty acids and their hydroxy derivatives may be important metabolites in the mechanism through which air pollution potentiates diseases. This study aimed to use targeted analysis to investigate how metabolites in arachidonic acid (AA) and linoleic acid (LA) pathways respond to short-term changes in air pollution exposure. We further explored how they might interact with markers of antioxidant enzymes and systemic inflammation.

methodsThis study included a subset of participants (n = 53) from the Beijing Olympics Air Pollution (BoaP) study in which blood samples were collected before, during, and after the Beijing Olympics. Hydroxy fatty acids were measured by liquid chromatography/mass spectrometry (LC/MS). Native total fatty acids were measured as fatty acid methyl esters (FAMEs) using gas chromatography. A set of chemokines were measured by ELISA-based chemiluminescent assay and antioxidant enzyme activities were analyzed by kinetic enzyme assays. Changes in levels of metabolites over the three time points were examined using linear mixed-effects models, adjusting for age, sex, body mass index (BMI), and smoking status. Pearson correlation and repeated measures correlation coefficients were calculated to explore the relationships of metabolites with levels of serum chemokines and antioxidant enzymes.

results12-hydroxyeicosatetraenoic acid (12-HETE) decreased by 50.5% (95% CI: -66.5, -34.5; p < 0.0001) when air pollution dropped during the Olympics and increased by 119.4% (95% CI: 36.4, 202.3; p < 0.0001) when air pollution returned to high levels after the Olympics. In contrast, 13-hydroxyoctadecadienoic acid (13-HODE) elevated significantly (p = 0.023) during the Olympics and decreased nonsignificantly after the games (p = 0.104). Interleukin 8 (IL-8) correlated with 12-HETE (r = 0.399, BH-adjusted p = 0.004) and 13-HODE (r = 0.342, BH-adjusted p = 0.014) over the three points; it presented a positive and moderate correlation with 12-HETE during the Olympics (r = 0.583, BH-adjusted p = 0.002) and with 13-HODE before the Olympics (r = 0.543, BH-adjusted p = 0.008).

conclusionAA- and LA-derived hydroxy metabolites are associated with air pollution and might interact with systemic inflammation in response to air pollution exposure.

Indexed as

Air PollutionLinoleic AcidArachidonic AcidBiomarkersGas Chromatography-Mass SpectrometryHumansLinoleic AcidsArachidonic AcidBiomarkersLinoleic AcidLinoleic Acids12-Hydroxyeicosatetraenoic acidAir pollutionInflammationLipid peroxidationOxidative stress

Identifiers

PMID34089746
PMCPMC11483949
OpenAlexW3166970390

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.