Evidence map›Paper›PMID 41835010›Full record

ArticleFrontiers in cellular and infection microbiology2026

Longitudinal associations between PM

Shanshan Mei, Jingyi Ye, Yaoyao Teng, Yisheng Chen, Yan Long, Xueqin Zhao, Xueqing Cen, Xiaoyan Zhang, Chunyan Zhu

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Shanshan Mei *Department of Obstetrics, Guangzhou Women and Children's Medical Centre, Guangzhou Medical University, Guangzhou, China.
Jingyi Ye *Department of Epidemiology and Health Statistics, School of Public Health, Guangzhou Medical University, Guangzhou, China.
Yaoyao Teng *Department of Microbiological Laboratory, Chongqing Jiulongpo District Center for Disease Control and Prevention, Chongqing, China.
Yisheng ChenDepartment of Disease Prevention and Control, Dachong Community Health Service Center, Zhongshan, China.
Yan LongLiuzhou Hospital, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Liuzhou, China.
Xueqin ZhaoDepartment of Laboratory, Guangzhou Women and Children's Medical Centre, Guangzhou Medical University, Guangzhou, China.
Xueqing CenDepartment of Epidemiology and Health Statistics, School of Public Health, Guangzhou Medical University, Guangzhou, China.
Xiaoyan ZhangDepartment of Obstetrics, Guangzhou Women and Children's Medical Centre, Guangzhou Medical University, Guangzhou, China.
Chunyan ZhuDepartment of Epidemiology and Health Statistics, School of Public Health, Guangzhou Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Exposure to particulate matter pollution with aerodynamic diameters < 2.5 μm (PM Methods: Participants (n = 1,248) were selected from the Pregnancy Metabolic Disease and Adverse Pregnancy Outcome (PMDAPO) cohort in Guangzhou, China. Demographic information, blood and fecal samples were collected from the participants. The fecal microbial composition and relative abundance were characterized using 16S rRNA gene sequencing, while blood differential metabolites and circRNAs of pregnant women with GDM were assessed using non-targeted metabolomics and RT-qPCR, respectively. Exposure levels of air pollutants were assessed using data from the nearest monitoring station. Spearman correlation and regression models were conducted to estimate the associations among PM Results: Elevated PM Conclusions: The gut microbiota may moderate the associations between PM

Indexed as

Diabetes, GestationalGastrointestinal MicrobiomeParticulate MatterAdultAir PollutantsChinaDysbiosisFecesFemaleHumansLongitudinal StudiesPregnancyProspective StudiesRNA, CircularRNA, Ribosomal, 16SAir PollutantsParticulate MatterRNA, CircularRNA, Ribosomal, 16Sblood glucosecircRNAsgestational diabetes mellitusgut microbiotametabolitesPM2.5

Identifiers

PMID41835010
PMCPMC12982432

What Socratic holds

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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 Socratic graph.