Evidence map›Paper›PMID 39614169›Full record

ArticleBMC microbiology2024

Nasal, dermal, oral and indoor dust microbe and their interrelationship in children with allergic rhinitis.

Hao Tang, Shuang Du, Zhiping Niu, Dongjun Zhang, Zhiwei Tang, Han Chen, Zhuoru Chen, Mei Zhang, Yanyi Xu, Yu Sun and 4 more

Abstract read
In one paragraph

Article in BMC microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. The Indoor Microbiome: Sampling, Analysis and Emerging Trends.Environmental microbiology reports · 2026
    Pooled it
  2. Article
  3. 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

14 authors.

Hao TangDepartment of Environmental Health, School of Public Health, Fudan University, NHC Key Laboratory of Health Technology Assessment (Fudan University), Shanghai, 200032, China.
Shuang DuDepartment of Environmental Health, School of Public Health, Fudan University, NHC Key Laboratory of Health Technology Assessment (Fudan University), Shanghai, 200032, China.
Zhiping NiuDepartment of Environmental Health, School of Public Health, Fudan University, NHC Key Laboratory of Health Technology Assessment (Fudan University), Shanghai, 200032, China.
Dongjun ZhangDepartment of Allergy, Wu Xi Branch of Ruijin Hospital Shang Hai Jiao Tong University School of Medicine, Jiangsu, 214028, China.
Zhiwei TangDepartment of Pediatrics, Ruijin Hospital Affiliated to Shang Hai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Han ChenDepartment of Environmental Health, School of Public Health, Fudan University, NHC Key Laboratory of Health Technology Assessment (Fudan University), Shanghai, 200032, China.
Zhuoru ChenDepartment of Environmental Health, School of Public Health, Fudan University, NHC Key Laboratory of Health Technology Assessment (Fudan University), Shanghai, 200032, China.
Mei ZhangGuangdong Provincial Key Laboratory of Protein Function and Regulation in Agricultural Organisms, College of Life Sciences, South China Agricultural University, Guangzhou, 510642, China.
Yanyi XuDepartment of Environmental Health, School of Public Health, Fudan University, NHC Key Laboratory of Health Technology Assessment (Fudan University), Shanghai, 200032, China.
Yu SunGuangdong Provincial Key Laboratory of Protein Function and Regulation in Agricultural Organisms, College of Life Sciences, South China Agricultural University, Guangzhou, 510642, China.
Xi FuGuangdong Provincial Engineering Research Center of Public Health Detection and Assessment, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, 510006, China.
Dan NorbackDepartment of Medical Sciences, Uppsala University, Uppsala, SE-751, Sweden.
Jie ShaoDepartment of Allergy, Wu Xi Branch of Ruijin Hospital Shang Hai Jiao Tong University School of Medicine, Jiangsu, 214028, China. dr.shaojie@163.com.
Zhuohui ZhaoDepartment of Environmental Health, School of Public Health, Fudan University, NHC Key Laboratory of Health Technology Assessment (Fudan University), Shanghai, 200032, China. zhzhao@fudan.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAllergic rhinitis (AR) subjects might have their microenvironment changed due to pathogenesis and living environment. Whether the nasal microbe in AR children differs from healthy subjects and how it interplays with dermal, oral and indoor dust microbe needs to be elucidated.

methodsIn this case-control study, we analyzed and compared the bacterial characterization and associations in nasal, dermal, oral swab samples and dust samples in 62 children with physician-diagnosed AR(cases) and 51 age- and gender-matched healthy ones with no history of allergic diseases(controls). Full-length 16S rRNA sequencing(swabs) and shotgun metagenomics(dust) were applied. Bacterial diversity, composition, abundance difference characteristics and fast expectation-maximization for microbial source tracking(FEAST) analysis were performed and compared between cases and controls.

resultsThe α-diversity of dust microorganisms in AR was lower than that in control group (P = 0.034), and the β-diversity indices of microorganisms in nasal cavity (P = 0.020), skin (P = 0.001) and dust (P = 0.004) were significantly different from those in control group. At species levels, a total of 10, 15, 12, and 15 bacterial species were differentially enriched in either cases or controls in nasal, dermal, oral, and dust samples, respectively(Linear Discriminant Analysis(LDA) score > 2, P < 0.05). Staphylococcus epidermidis was the single species simultaneously more abundant in nasal, dermal and dust samples in AR children. By FEAST analysis, 8.85% and 10.11% of S. epidermidis in AR dermal and dust samples came from nasal cavity. These proportions were significantly higher than those in controls (2.70% and 3.86%) (P < 0.05). The same significantly higher transfer proportions(P < 0.05) were observed for Staphylococcus aureus enriched in the nasal cavity in AR children. Classification models by random forest regression at species levels showed, bacterial species enriched in indoor dust, nasal and dermal samples had substantial power in distinguishing AR children from healthy ones, with the highest power in the dust samples (AUC = 0.88) followed by nasal(AUC = 0.81) and dermal ones(AUC = 0.80).

conclusionsOur study presented the microbial enrichment characteristics in AR children both in the living environment(dust) and body sites exposed to environment through inhalation(nasal cavity), contact(skin) and ingestion(oral cavity) pathways, respectively. Nasal S.epidermidis and S.aureus had dominant influences on dust and other body sites in AR children.

Indexed as

BacteriaDustMicrobiotaMouthRhinitis, AllergicRNA, Ribosomal, 16SSkinAir Pollution, IndoorCase-Control StudiesChildChild, PreschoolFemaleHumansMaleMetagenomicsNasal CavityDustRNA, Ribosomal, 16SAllergic rhinitisHuman microbiomeIndoor microbiomeStaphylococcus aureusStaphylococcus epidermidis

Identifiers

PMID39614169
PMCPMC11606197

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.