Evidence map›Paper›PMID 32172346›Full record

ReviewCurrent allergy and asthma reports2020

Th17/IL-17 Axis Regulated by Airway Microbes Get Involved in the Development of Asthma.

Dan Liu, Yurong Tan, Ousman Bajinka, Lili Wang, Zhongxiang Tang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current allergy and asthma reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

26 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Nasal delivery ofMicrobiology spectrum · 2026
    Article
  6. Gut Microbiota Modulation in Asthma-An In Vitro Study.Pharmaceuticals (Basel, Switzerland) · 2025
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. Neutrophils and Asthma.Diagnostics (Basel, Switzerland) · 2022
    Review
  18. Article
  19. Article
  20. Review
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

5 authors at 1 institution in 1 country.

Dan LiuDepartment of Microbiology, Xiangya School of Medicine, Central South University, Changsha, 410078, Hunan, China.
Yurong TanDepartment of Microbiology, Xiangya School of Medicine, Central South University, Changsha, 410078, Hunan, China.
Ousman BajinkaDepartment of Microbiology, Xiangya School of Medicine, Central South University, Changsha, 410078, Hunan, China.
Lili WangDepartment of Microbiology, Xiangya School of Medicine, Central South University, Changsha, 410078, Hunan, China.
Zhongxiang TangDepartment of Microbiology, Xiangya School of Medicine, Central South University, Changsha, 410078, Hunan, China. tangzhongxiang@csu.edu.cn.
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewBronchial asthma is a common respiratory disease induced by immune imbalance, characterized by chronic non-specific airway inflammation and airway hyperresponsiveness (AHR). Many factors induce asthma, among which respiratory infection is the important cause. In this review, we discuss how respiratory microbes participate in the occurrence and progression of asthma via Th17/IL-17 axis. RECENT

findingsPathogenesis of asthma has been considered as closely related to the imbalance in number and function of Th1/Th2 in the CD4

Indexed as

AnimalsAsthmaHumansInterleukin-17Respiratory HypersensitivityRespiratory Tract InfectionsTh17 CellsInterleukin-17AsthmaIL-17Respiratory microbesTh17

Identifiers

PMID32172346
OpenAlexW3011838924

What OpenQuestion holds

Textmetadata
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.