Evidence map›Paper›PMID 39850067›Full record

ReviewFrontiers in psychiatry2024

From air to mind: unraveling the impact of indoor pollutants on psychiatric disorders.

German Torres, Ryia T Subbaiah, Riya A Sood, Joerg R Leheste

Abstract readReview
In one paragraph

Review in Frontiers in psychiatry, 2024. 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

4 authors.

German TorresDepartment of Biomedical Sciences, New York Institute of Technology College of Osteopathic Medicine (NYITCOM), Old Westbury, NY, United States.
Ryia T SubbaiahDepartment of Arts and Sciences, Georgetown University, Washington, DC, United States.
Riya A SoodDepartment of Biomedical Sciences, New York Institute of Technology College of Osteopathic Medicine (NYITCOM), Old Westbury, NY, United States.
Joerg R LehesteDepartment of Biomedical Sciences, New York Institute of Technology College of Osteopathic Medicine (NYITCOM), Old Westbury, NY, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidemiological evidence from the past 20 years indicates that environmental chemicals brought into the air by the vaporization of volatile organic compounds and other anthropogenic pollutants might be involved, at least in part, in the development or progression of psychiatric disorders. This evidence comes primarily from occupational work studies in humans, with indoor occupations being the most important sources of airborne pollutants affecting neural circuits implicated in mood disorders (e.g., major depressive disorder and bipolar disorder). The current mini review brings together recent findings of indoor airborne pollution from different fields of research, including genetics, neuropathology, and neuroimaging, for gauging underlying physiological mechanisms leading to emotional disturbances that impact nearly all aspects of human behavior. A better understanding of how indoor airborne pollutants affect brain neurons to augment clinical symptoms associated with psychiatric disorders will undoubtedly be useful in the subsequent treatment of patients with major depressive and/or bipolar disorders. This article is part of the themed issue, "Understanding the Link Between Environmental Pollutants, Brain & Behavior."

Indexed as

anthropogenic pollutantsepidemiologygeneticsindoor air pollutionmood disordersneural circuitspsychiatric disordersvolatile organic compounds (VOCs)

Identifiers

PMID39850067
PMCPMC11754266

What OpenQuestion holds

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LicenceCC BY
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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.