Evidence map›Paper›PMID 40234853›Full record

ArticleBMC public health2025

Association between chronic PM

Rakesh Balachandar, Ankit Viramgami, Dhirendra Pratap Singh, Nikhil Kulkarni, Beena Chudasama, P Sivaperumal, Kuldip Upadhyay

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

7 authors.

Rakesh BalachandarICMR-National Institute of Occupational Health, Near Raksha Shakti University, Meghaninagar, Ahmedabad, Gujarat, 380016, India.
Ankit ViramgamiICMR-National Institute of Occupational Health, Near Raksha Shakti University, Meghaninagar, Ahmedabad, Gujarat, 380016, India.
Dhirendra Pratap SinghICMR-National Institute of Occupational Health, Near Raksha Shakti University, Meghaninagar, Ahmedabad, Gujarat, 380016, India.
Nikhil KulkarniICMR-National Institute of Occupational Health, Near Raksha Shakti University, Meghaninagar, Ahmedabad, Gujarat, 380016, India.
Beena ChudasamaICMR-National Institute of Occupational Health, Near Raksha Shakti University, Meghaninagar, Ahmedabad, Gujarat, 380016, India.
P SivaperumalICMR-National Institute of Occupational Health, Near Raksha Shakti University, Meghaninagar, Ahmedabad, Gujarat, 380016, India.
Kuldip UpadhyayICMR-National Institute of Occupational Health, Near Raksha Shakti University, Meghaninagar, Ahmedabad, Gujarat, 380016, India. upadhyay.kul@icmr.gov.in.ORCID http://orcid.org/0000-0002-0416-1923

Funding

Department of Health Research, India Grant No. R.11013/01/2023-GIA/HR
6 · The paper itself

Abstract

backgroundAir pollution is a significant public health concern, increasingly recognized for its association with adverse health outcomes including neurodegenerative and neuroinflammatory conditions. The present study aimed to characterize plasma levels of key biomarkers related to neurodegeneration and neuroinflammation among middle-aged to elderly adults living in areas designated as critically polluted.

methodsA total of 202 adults, aged 41 to 60 years, residing in CPA (CEPI > 70) for over ten years were recruited in the study. The exposures of air pollutant were measured as per the established protocols by CPCB. The plasma levels of neurodegenerative markers (Aβ

resultsThis study confirmed the elevated PM

conclusionThis study is among the first community-based investigations in India to assess plasma levels of neurodegenerative and neuroinflammatory biomarkers in apparently healthy adults chronically exposed to high ambient air pollution. By integrating chronic exposure data from a Critically Polluted Area (CEPI > 70) with biomarker profiling, the study offers early insights into potential neurobiological alterations associated with environmental pollutants, highlighting sex- and age-specific vulnerabilities. These findings emphasize the importance of considering environmental influences in neurodegenerative disease research and the potential need for tailored health interventions.

Indexed as

Air PollutantsAir PollutionEnvironmental ExposureNeurodegenerative DiseasesParticulate MatterAdultAgedAmyloid beta-PeptidesBiomarkersFemaleHumansMaleMiddle AgedAir PollutantsAmyloid beta-PeptidesBiomarkersParticulate MatterAir pollutionAmyloid β(1–42)BDNF levelsNeurodegenerative markersPM2.5 exposureα-Synuclein

Identifiers

PMID40234853
PMCPMC11998342

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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.