Evidence map›Paper›PMID 41526934›Full record

SynthesisRespiratory research2026

Multi-omics of oxidative stress and particulate matter exposure: a systematic review.

Aida Fallahzadeh, Tara Mahmoodi, Sophia Kwon, Mengling Liu, Anna Nolan

Abstract readSystematic ReviewReview
In one paragraph

Synthesis in Respiratory research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Spatiotemporal Variation of PMHealth services insights · 2026
    Article
  4. Review
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

5 authors.

Aida FallahzadehDepartment of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, New York University Grossman School of Medicine (NYUGSoM), New Bellevue, 16 N Room 20, New York (NY), NY, USA.
Tara MahmoodiDepartment of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, New York University Grossman School of Medicine (NYUGSoM), New Bellevue, 16 N Room 20, New York (NY), NY, USA.
Sophia KwonDepartment of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, New York University Grossman School of Medicine (NYUGSoM), New Bellevue, 16 N Room 20, New York (NY), NY, USA.
Mengling LiuDepartment of Population Health, Division of Biostatistics, NYUGSoM, New York (NY), NY, USA.
Anna NolanDepartment of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, New York University Grossman School of Medicine (NYUGSoM), New Bellevue, 16 N Room 20, New York (NY), NY, USA. anna.nolan@med.nyu.edu.

Funding

Project-005UL1TR001445 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BREDELLA, MIRIAM ANTOINETTE, HOCHMAN, JUDITH S · 2015 to 2025
$103.5M
Institutional Career DevelopmentKL2TR001446 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI PILLINGER, MICHAEL · 2015 to 2025
$6.7M
Centers for Disease Control and Prevention Foundation U01 -OH012069; -OH011855; -OH011300NCATS NIH HHS KL2 TR001446NCATS NIH HHS UL1 TR001445NCATS NIH HHS UL1TR001445; KL2TR001446NHLBI NIH HHS L70 HL170444NIOSH CDC HHS K01 OH012795NIOSH CDC HHS U01 OH011300NIOSH CDC HHS U01 OH011855NIOSH CDC HHS U01 OH012069
6 · The paper itself

Abstract

backgroundExposure to particulate matter (PM) is a significant public health concern associated with respiratory, cardiovascular, and metabolic diseases. Oxidative stress is a key biological mechanism mediating the harmful effects of PM exposure. However, a comprehensive review of relating PM exposure to omics layers of oxidative stress has been lacking. We aimed to systematically review the current evidence on the associations between PM exposure and the multi-omics signatures of oxidative stress.

methodsWe conducted a systematic review of studies published between January 2021 and March 2024 in PubMed and Web of Science, following a registered protocol (PROSPERO ID: CRD42024617742). Eligible studies assessed the impact of PM exposure on oxidative stress-related omics in adult human populations. Data on exposure assessment, study characteristics, and omics outcomes were extracted, and the risk of bias was evaluated using the Newcastle-Ottawa Scale and Cochrane's.

resultsSeventy-seven studies were included. PM exposure was consistently associated with oxidative stress markers across multiple omics platforms. Studies on the analytes showed that PM was associated with an increase in oxidative markers. Metabolomics studies revealed alterations in pro-oxidant metabolites (e.g., eicosanoids, ceramides) and disruptions in antioxidant pathways (e.g., glutathione, vitamin C, and E metabolism). PM exposure was also linked to changes in energy metabolism, fatty acid oxidation, and detoxification pathways. Genomics studies reported differential methylation in genes involved in oxidative stress and inflammation. Microbiome studies suggest that PM exposure alters the composition of gut and nasal microbiota, favoring a pro-oxidative profile. However, some studies reported no significant associations, highlighting heterogeneity in findings.

conclusionOur systematic review demonstrates that PM exposure affects multiple molecular pathways related to oxidative stress across diverse omics platforms. These findings highlight the complex responses to PM, underscoring the need for integrative multi-omics approaches to fully understand the health impacts of air pollution.

Indexed as

Air PollutantsEnvironmental ExposureInhalation ExposureMetabolomicsOxidative StressParticulate MatterHumansMultiomicsAir PollutantsParticulate MatterParticulate Matter; Oxidative Stress; Multi-Omics

Identifiers

PMID41526934
PMCPMC12888558

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.