Evidence map›Paper›PMID 38420854›Full record

ArticleResearch report (Health Effects Institute)2023

Chemical and Cellular Formation of Reactive Oxygen Species from Secondary Organic Aerosols in Epithelial Lining Fluid.

M Shiraiwa, T Fang, J Wei, Psj Lakey, Bch Hwang, K C Edwards, S Kapur, Jem Mena, Y-K Huang, M A Digman and 3 more

Abstract read
In one paragraph

Article in Research report (Health Effects Institute), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. 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

13 authors at 2 institutions in 2 countries.

M ShiraiwaDepartment of Chemistry, University of California, Irvine, CA, USA.
T FangDepartment of Chemistry, University of California, Irvine, CA, USA.
J WeiDepartment of Chemistry, University of California, Irvine, CA, USA.
Psj LakeyDepartment of Chemistry, University of California, Irvine, CA, USA.
Bch HwangDepartment of Chemistry, University of California, Irvine, CA, USA.
K C EdwardsDepartment of Chemistry, University of California, Irvine, CA, USA.
S KapurDepartment of Chemistry, University of California, Irvine, CA, USA.
Jem MenaDivision of Occupational and Environmental Medicine, University of California, Irvine, CA, USA.
Y-K HuangDepartment of Biomedical Engineering, University of California, Irvine, CA, USA.
M A DigmanDepartment of Biomedical Engineering, University of California, Irvine, CA, USA.
S A WeichenthalDepartment of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada.
S NizkorodovDepartment of Chemistry, University of California, Irvine, CA, USA.
M T KleinmanDivision of Occupational and Environmental Medicine, University of California, Irvine, CA, USA.
University of California, Irvine · USMcGill University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionOxidative stress mediated by reactive oxygen species (ROS) is a key process for adverse aerosol health effects. Secondary organic aerosols (SOA) account for a major fraction of particulate matter with aerodynamic diameter ≤2.5 µm (PM

methodsSOA particles were generated using reaction chambers from oxidation of various precursors including isoprene, terpenes, and aromatic compounds with or without nitrogen oxides (NO

resultsSuperoxide radicals (·O Organic radicals in the ELF were formed by mixtures of Fe Wildfire PM mainly generated ·OH and R· with minor contributions from superoxide and oxygen-centered organic radicals (RO·). PM OP was high in wildfire PM, exhibiting very weak correlation with radical forms of ROS. These results were in stark contrast with PM collected at highway and urban sites, which generated much higher amounts of radicals dominated by ·OH radicals that correlated well with OP. By combining field measurements of size-segregated chemical composition, a human respiratory tract model, and kinetic modeling, we quantified production rates and concentrations of different types of ROS in different regions of the ELF by considering particle-size-dependent respiratory deposition. While hydrogen peroxide (H Quinones and isoprene SOA activated nicotinamide adenine dinucleotide phosphate (NADPH) oxidase in macrophages, releasing massive amounts of superoxide via respiratory burst and overwhelming the superoxide formation by aqueous chemical reactions in the ELF. The threshold dose for macrophage activation was much smaller for quinones compared with isoprene SOA. The released ROS caused lipid peroxidation to increase cell membrane fluidity, inducing oxidative damage and stress. Further increases of doses led to the activation of antioxidant response elements, reducing the net cellular superoxide production. At very high doses and long exposure times, chemical production became comparably important or dominant if the escalation of oxidative stress led to cell death.

conclusionsThe mechanistic understandings and quantitative information on ROS generation by SOA particles provided a basis for further elucidation of adverse aerosol health effects and oxidative stress by PM

Indexed as

Air PollutantsButadienesCyclohexane MonoterpenesHemiterpenesAerosolsHumansHydrogen PeroxideHydroxyl RadicalOrganic ChemicalsParticulate MatterQuinonesReactive Oxygen SpeciesSuperoxidesWaterAerosolsAir Pollutantsalpha-terpineolButadienesCyclohexane MonoterpenesHemiterpenesHydrogen PeroxideHydroxyl RadicalisopreneOrganic ChemicalsParticulate MatterQuinonesReactive Oxygen SpeciesSuperoxidesWater

Identifiers

PMID38420854
PMCPMC10957138
OpenAlexW4394766603

What OpenQuestion holds

Textmetadata
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.