Evidence map›Paper›PMID 36017065›Full record

ArticleThe World Allergy Organization journal2022

Microbiome profiling of nasal extracellular vesicles in patients with allergic rhinitis.

Tsai-Yeh Chiang, Yu-Ru Yang, Ming-Ying Zhuo, Feng Yang, Ying-Fei Zhang, Chia-Hsiang Fu, Ta-Jen Lee, Wen-Hung Chung, Liang Chen, Chih-Jung Chang

Open access · goldAbstract read
In one paragraph

Article in The World Allergy Organization journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Nasal Mucosa-Derived Extracellular Vesicles as a Systemic Antiaging Intervention.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. 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 at 4 institutions in 2 countries.

Tsai-Yeh ChiangDepartment of Otorhinolaryngology, Xiamen Chang Gung Hospital, Xiamen, Fujian, China.
Yu-Ru YangDepartment of Otorhinolaryngology, Xiamen Chang Gung Hospital, Xiamen, Fujian, China.
Ming-Ying ZhuoDepartment of Otorhinolaryngology, Xiamen Chang Gung Hospital, Xiamen, Fujian, China.
Feng YangDepartment of Otorhinolaryngology, Xiamen Chang Gung Hospital, Xiamen, Fujian, China.
Ying-Fei ZhangDepartment of Otorhinolaryngology, Xiamen Chang Gung Hospital, Xiamen, Fujian, China.
Chia-Hsiang FuDepartment of Otolaryngology-Head and Neck Surgery, Linkou Chang Gung Memorial Hospital, Taoyuan City, Taiwan.
Ta-Jen LeeDepartment of Otorhinolaryngology, Xiamen Chang Gung Hospital, Xiamen, Fujian, China.
Wen-Hung ChungXiamen Chang Gung Allergology Consortium, Xiamen Chang Gung Hospital, Xiamen, Fujian, China.
Liang ChenXiamen Chang Gung Allergology Consortium, Xiamen Chang Gung Hospital, Xiamen, Fujian, China.
Chih-Jung ChangXiamen Chang Gung Allergology Consortium, Xiamen Chang Gung Hospital, Xiamen, Fujian, China.
Xiamen Chang Gung Hospital · CNChang Gung University · TWChang Gung Memorial Hospital · TWHuaqiao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nasal microbiota is crucial for the pathogenesis of allergic rhinitis (AR), which has been reported to be different from that of healthy individuals. However, no study has investigated the microbiota in nasal extracellular vesicles (EVs). We aimed to compare the microbiome composition and diversity in EVs between AR patients and healthy controls (HCs) and reveal the potential metabolic mechanisms in AR. Methods: Eosinophil counts and serum immunoglobulin E (IgE) levels were measured in patients with AR (n = 20) and HCs (n = 19). Nasal EVs were identified using transmission electron microscopy and flow cytometry. 16S rRNA sequencing was used to profile the microbial communities. Alpha and beta diversities were analyzed to determine microbial diversity. Taxonomic abundance was analyzed based on the linear discriminant analysis effect size (LEfSe). Microbial metabolic pathways were characterized using Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUst2) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. Results: Eosinophils, total serum IgE, and IgE specific to Conclusion: Patients with AR had distinct microbiota characteristics in nasal EVs compared to that in HCs. The metabolic mechanisms of the microbiota that regulate AR development were also different. These findings show that nasal fluid may reflect the specific pattern of microbiome EVs in patients with AR.

Indexed as

16S rRNA sequencingAllergic rhinitisAR, Allergic rhinitisASV, Amplicon sequence variantEVs, Extracellular vesiclesExtracellular vesicleFITC, Fluorescein isothiocyanateGPI, GlycosylphosphatidylinositolHCs, Healthy controlsHDM, House dust miteKEGG, Kyoto Encyclopedia of Genes and GenomesLEfSe, Linear discriminant analysis (LDA) effect sizeLPS, LipopolysaccharideMAMPs, Microorganism-associated molecular patternsMicrobiotaMRPP, Multiple response permutation procedureOMVs, Outer membrane vesiclesPBS, Phosphate-buffered salinePCoA, Principal coordinate analysisPLS–DA, Partial least squares discriminant analysisPRRs, Pattern recognition receptorsTEM, Transmission electron microscopyUPGMA, Unweighted pair-group method with arithmetic means

Identifiers

PMID36017065
PMCPMC9386106
OpenAlexW4290040456

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.