Evidence map›Paper›PMID 35785964›Full record

SynthesisEnvironmental science & technology2022

Global Meta-analysis of Airborne Bacterial Communities and Associations with Anthropogenic Activities.

Xiaoqing Jiang, Chunhui Wang, Jinyuan Guo, Jiaheng Hou, Xiao Guo, Haoyu Zhang, Jie Tan, Mo Li, Xin Li, Huaiqiu Zhu

Abstract readMeta-Analysis
In one paragraph

Synthesis in Environmental science & technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Analysis of metagenomic data.Nature reviews. Methods primers · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. 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

10 authors.

Xiaoqing JiangState Key Laboratory for Turbulence and Complex Systems, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing 100871, China.ORCID 0000-0001-7475-1630
Chunhui WangSchool of Life Sciences, Peking University, Beijing 100871, China.ORCID 0000-0001-8292-4896
Jinyuan GuoState Key Laboratory for Turbulence and Complex Systems, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing 100871, China.ORCID 0000-0001-8218-5974
Jiaheng HouState Key Laboratory for Turbulence and Complex Systems, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing 100871, China.ORCID 0000-0002-1406-991X
Xiao GuoState Key Laboratory for Turbulence and Complex Systems, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing 100871, China.ORCID 0000-0002-1495-103X
Haoyu ZhangState Key Laboratory for Turbulence and Complex Systems, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing 100871, China.ORCID 0000-0003-1383-9406
Jie TanState Key Laboratory for Turbulence and Complex Systems, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing 100871, China.ORCID 0000-0002-5231-2124
Mo LiSchool of Life Sciences, Peking University, Beijing 100871, China.ORCID 0000-0002-6496-9756
Xin LiSchool of Life Sciences, Peking University, Beijing 100871, China.ORCID 0000-0001-5922-9174
Huaiqiu ZhuState Key Laboratory for Turbulence and Complex Systems, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing 100871, China.ORCID 0000-0002-6376-218X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Airborne microbiome alterations, an emerging global health concern, have been linked to anthropogenic activities in numerous studies. However, these studies have not reached a consensus. To reveal general trends, we conducted a meta-analysis using 3226 air samples from 42 studies, including 29 samples of our own. We found that samples in anthropogenic activity-related categories showed increased microbial diversity, increased relative abundance of pathogens, increased co-occurrence network complexity, and decreased positive edge proportions in the network compared with the natural environment category. Most of the above conclusions were confirmed using the samples we collected in a particular period with restricted anthropogenic activities. Additionally, unlike most previous studies, we used 15 human-production process factors to quantitatively describe anthropogenic activities. We found that microbial richness was positively correlated with fine particulate matter concentration, NH

Indexed as

Air PollutantsMicrobiotaAir MicrobiologyAnthropogenic EffectsBacteriaEnvironmental MonitoringHumansParticulate MatterAir PollutantsParticulate Matterairborne bacteriaanthropogenic activitiesNH3 emissionspathogensPM2.5 concentration

Identifiers

PMID35785964
PMCPMC9301914

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.