Evidence map›Paper›PMID 40234570›Full record

ArticleScientific reports2025

Comparison of airborne bacterial communities in PM2.5 between a dry-season haze period and a wet-season non-haze period in thailand.

Nopadol Precha, Kittipong Chaisiri, Suwalee Worakhunpiset, Yanin Limpanont, Naomichi Yamamoto, Wantanasak Suksong, Wissanupong Kliengchuay, Kraichat Tantrakarnapa

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Nopadol PrechaDepartment of Social and Environmental Medicine, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Kittipong ChaisiriDepartment of Helminthology, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Suwalee WorakhunpisetDepartment of Social and Environmental Medicine, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Yanin LimpanontDepartment of Social and Environmental Medicine, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Naomichi YamamotoDepartment of Environmental Health Sciences, Graduate School of Public Health, Seoul National University, Seoul, Korea.
Wantanasak SuksongExcellent Center of Waste Utilization and Management (ECoWASTE), Pilot Plant Development and Training Institute, King Mongkut's University and Technology Thonburi (KMUTT), Bangkok, Thailand.
Wissanupong KliengchuayDepartment of Social and Environmental Medicine, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Kraichat TantrakarnapaDepartment of Social and Environmental Medicine, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand. kraichat.tan@mahidol.ac.th.

Funding

the e-ASIA Joint Research Program and National Research Council of Thailand (NRCT) Grant No. 110/2021.
6 · The paper itself

Abstract

Thailand experiencing severe air pollution for over a decade. Although the physical and chemical properties of particulate matter have been extensively studied, the biological aspects, particularly microorganisms present in fine particles during haze and non-haze periods, are still unclear. To address this gap, we aim to profile the bacterial communities in PM2.5 in Bangkok and Chiang Mai, Thailand. The samples were collected during the haze and non-haze periods in 2021-2022. Using 16 S rRNA gene sequencing, we identified a markedly higher number of bacterial genera in Chiang Mai (247) compared to Bangkok (31). In Bangkok, Actinobacteriota (80.4%) and Proteobacteria (18.3%) dominated, whereas Chiang Mai's samples were enriched with Firmicutes (52.2%) and Bacteroidota (13.0%). Interestingly, Bangkok's samples were dominated by Cutibacterium (68.4%) and Enhydrobacter (14.6%), while Chiang Mai had Bacillus (11.0%) and Blautia (7.6%). Despite substantially higher PM2.5 levels during haze, alpha diversity analyses showed that bacterial community structure was more strongly influenced by geographic location than by haze conditions. Chiang Mai consistently exhibited greater microbial richness and evenness than Bangkok. These findings highlight the importance of biological factors in urban air pollution studies and underscore the need to incorporate the biological aspects into health risk assessments and air quality management strategies.

Indexed as

Air MicrobiologyAir PollutantsBacteriaMicrobiotaParticulate MatterAir PollutionEnvironmental MonitoringRNA, Ribosomal, 16SSeasonsThailandAir PollutantsParticulate MatterRNA, Ribosomal, 16SBacterial diversityBioaerosolsHigh-throughput sequencing (HTS)Southeast Asian hazeThailand

Identifiers

PMID40234570
PMCPMC12000368

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LicenceCC BY-NC-ND
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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.