Evidence map›Paper›PMID 36154139›Full record

ArticlemSystems2022

Regionalization and Shaping Factors for Microbiomes and Core Resistomes in Atmospheric Particulate Matters.

Ziyun Li, Mei Li, Shuhui Tong, Meng Fang, Weiwei Li, Ling Li, Xiang Li, Hai Xu, Xiaomin Sun, Mingyu Wang

Abstract read
In one paragraph

Article in mSystems, 2022. 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

10 authors.

Ziyun LiState Key Laboratory of Microbial Technology, Shandong Universitygrid.27255.37, Qingdao, China.
Mei LiInstitute of Mass Spectrometer and Atmospheric Environment, Jinan University, Guangzhou, China.
Shuhui TongState Key Laboratory of Microbial Technology, Shandong Universitygrid.27255.37, Qingdao, China.
Meng FangState Key Laboratory of Microbial Technology, Shandong Universitygrid.27255.37, Qingdao, China.
Weiwei LiState Key Laboratory of Microbial Technology, Shandong Universitygrid.27255.37, Qingdao, China.
Ling LiState Key Laboratory of Microbial Technology, Shandong Universitygrid.27255.37, Qingdao, China.
Xiang LiDepartment of Environmental Science and Engineering, Fudan University, Shanghai, China.
Hai XuState Key Laboratory of Microbial Technology, Shandong Universitygrid.27255.37, Qingdao, China.ORCID 0000-0001-8710-3026
Xiaomin SunEnvironment Research Institute, Shandong Universitygrid.27255.37, Qingdao, China.
Mingyu WangState Key Laboratory of Microbial Technology, Shandong Universitygrid.27255.37, Qingdao, China.ORCID 0000-0003-1215-9556

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance (AMR) seriously threatens public health by reducing antibiotic effectiveness in curing bacterial infections. Atmospheric particulate matter (APM) is a common environmental hazard that affects human health by causing various diseases and disseminating bacterial pathogenesis, of which pathogenic bacteria and AMR are essential parts. The properties of APM microbiomes and resistomes, along with their shaping factors and mutual relationships, need further examination. To address this, we analyzed APMs collected from 13 cities within four clusters (North and South China, Inner Mongolia, and Tibet). Significant regionalization was found for both the microbiomes (

Indexed as

Drug Resistance, BacterialMicrobiotaAnti-Bacterial AgentsBacteriaHumansR FactorsAnti-Bacterial Agentsantimicrobial resistanceatmospheric particulate matterbacterial pathogenesismicrobiomeresistomeshaping factors

Identifiers

PMID36154139
PMCPMC9600985

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.