Evidence map›Paper›PMID 39538143›Full record

ArticleBMC infectious diseases2024

Respiratory tract bacteria distribution and transmission patterns among individuals in close contact.

Na Zhao, Xingxing Lian, Juan Du, Hongyu Ren, Tianshuo Zhao, Qingbin Lu, Yinan Li, Fuqiang Cui, Tian Qin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC infectious diseases, 2024. 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.

Na Zhao *National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102211, China.
Xingxing Lian *National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102211, China.
Juan DuDepartment of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, 100091, China.
Hongyu RenNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102211, China.
Tianshuo ZhaoDepartment of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, 100091, China.
Qingbin LuDepartment of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, 100091, China.
Yinan LiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102211, China.
Fuqiang CuiDepartment of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, 100091, China.
Tian QinNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102211, China. qintian@icdc.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRespiratory disease outbreaks frequently occur in settings where individuals are in close contact, for example, schools and factories. However, the transmission patterns of oropharyngeal microbiota among healthy individuals living in clusters are unclear. Therefore, we aimed to investigate the respiratory tract bacteria distribution and transmission patterns among individuals in close contact.

methodsA total of 36 freshmen from Peking University Medical School participated in the study. We collected pharyngeal swabs on the first day of enrollment, 15, 30, and 60 days after cohabitation. DNA was extracted from the swabs and subjected to high-throughput sequencing to profile the microbial composition. Statistical analyses were performed to assess diversity and significance.

resultsNeisseriaceae, Prevotellaceae, and Streptococcaceae were the most abundant bacterial families detected. Over time, changes were observed in the bacterial communities, with a tendency for increased similarity between dormitory room members. By day 60 of cohabitation, the bacterial communities appeared to be more similar compared to the baseline (prior to cohabitation). The transmission patterns included spreading with colonization, spreading without colonization, and non-spreading. Bacteria belonging to the core genera are most likely to spread and colonize easily.

conclusionThe risk of healthy cohabitants acquiring respiratory pathogens through close contact may be overestimated in epidemiological studies. Therefore, monitoring the spread of core genera that are easily transmitted and colonized is crucial for effective prevention of respiratory pathogen transmission.

Indexed as

BacteriaRespiratory Tract InfectionsAdolescentAdultDNA, BacterialFemaleHigh-Throughput Nucleotide SequencingHumansMaleMicrobiotaOropharynxRespiratory SystemYoung AdultDNA, BacterialClose contactHigh-throughput sequencingOropharyngeal microbiotaRespiratory disease

Identifiers

PMID39538143
PMCPMC11562301

What OpenQuestion holds

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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.