Evidence map›Paper›PMID 33948261›Full record

ArticleJournal of clinical and translational science2020

Biomarkers and indoor air quality: A translational research review.

Araliya M Senerat, Sheila M Manemann, Nicholas S Clements, Robert D Brook, Leslie C Hassett, Véronique L Roger

Abstract read
In one paragraph

Article in Journal of clinical and translational science, 2020. 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
–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

2 citing papers in PubMed.

  1. Article
  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

6 authors.

Araliya M SeneratWell Living Lab, Inc., Mayo Clinic, Rochester, MN 55902, USA.
Sheila M ManemannDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA.
Nicholas S ClementsWell Living Lab, Inc., Mayo Clinic, Rochester, MN 55902, USA.
Robert D BrookDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
Leslie C HassettLibrary Public Services, Mayo Clinic, Rochester, MN 55905, USA.
Véronique L RogerWell Living Lab, Inc., Mayo Clinic, Rochester, MN 55902, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAir pollution is linked to mortality and morbidity. Since humans spend nearly all their time indoors, improving indoor air quality (IAQ) is a compelling approach to mitigate air pollutant exposure. To assess interventions, relying on clinical outcomes may require prolonged follow-up, which hinders feasibility. Thus, identifying biomarkers that respond to changes in IAQ may be useful to assess the effectiveness of interventions.

methodsWe conducted a narrative review by searching several databases to identify studies published over the last decade that measured the response of blood, urine, and/or salivary biomarkers to variations (natural and intervention-induced) of changes in indoor air pollutant exposure.

resultsNumerous studies reported on associations between IAQ exposures and biomarkers with heterogeneity across study designs and methods. This review summarizes the responses of 113 biomarkers described in 30 articles. The biomarkers which most frequently responded to variations in indoor air pollutant exposures were high sensitivity C-reactive protein (hsCRP), von Willebrand Factor (vWF), 8-hydroxy-2'-deoxyguanosine (8-OHdG), and 1-hydroxypyrene (1-OHP).

conclusionsThis review will guide the selection of biomarkers for translational studies evaluating the impact of indoor air pollutants on human health.

Indexed as

air pollutionambient airbiomarkersIndoor air qualityinflammationoxidative stress

Identifiers

PMID33948261
PMCPMC8057458

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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.