Evidence map›Paper›PMID 28912779›Full record

ArticleFrontiers in immunology2017

Vγ4

Chunxue Xue, Mingjie Wen, Linlin Bao, Hui Li, Fengdi Li, Meng Liu, Qi Lv, Yunqing An, Xulong Zhang, Bin Cao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

22 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Where do T cell subsets stand in SARS-CoV-2 infection: an update.Frontiers in cellular and infection microbiology · 2022
    Review
  9. Article
  10. Article
  11. Review
  12. The phenotypic changes of γδ T cells in COVID-19 patients.Journal of cellular and molecular medicine · 2020
    Article
  13. Article
  14. Article
  15. Article
  16. Progress and Current Status of Influenza Researches in China.Journal of translational internal medicine · 2019
    Article
  17. Article
  18. Type 3 ILCs in Lung Disease.Frontiers in immunology · 2019
    Review
  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

10 authors at 6 institutions in 1 country.

Chunxue XueDepartment of Respiratory and Critical Care Medicine, Beijing Luhe Hospital, Capital Medical University, Beijing, China.
Mingjie WenDepartment of Immunology, The Research Centre of Microbiome, School of Basic Medical Sciences, Capital Medical University, Beijing, China.
Linlin BaoInstitute of Laboratory Animal Sciences, Chinese Academy of Medical Sciences, Beijing, China.
Hui LiDepartment of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China.
Fengdi LiInstitute of Laboratory Animal Sciences, Chinese Academy of Medical Sciences, Beijing, China.
Meng LiuDepartment of Pulmonary and Critical Care Medicine, Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University, Beijing, China.
Qi LvInstitute of Laboratory Animal Sciences, Chinese Academy of Medical Sciences, Beijing, China.
Yunqing AnDepartment of Immunology, The Research Centre of Microbiome, School of Basic Medical Sciences, Capital Medical University, Beijing, China.
Xulong ZhangDepartment of Immunology, The Research Centre of Microbiome, School of Basic Medical Sciences, Capital Medical University, Beijing, China.
Bin CaoDepartment of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China.
Capital Medical University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNBeijing Hospital of Traditional Chinese Medicine · CNBeijing Luhe Hospital Affiliated to Capital Medical University · CNChina-Japan Friendship Hospital · CNInstitute of Laboratory Animal Science · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The influenza A (H1N1) pdm09 virus remains a critical global health concern and causes high levels of morbidity and mortality. Severe acute lung injury (ALI) and acute respiratory distress syndrome (ARDS) are the major outcomes among severely infected patients. Our previous study found that interleukin (IL)-17A production by humans or mice infected with influenza A (H1N1) pdm09 substantially contributes to ALI and subsequent morbidity and mortality. However, the cell types responsible for IL-17A production during the early stage of severe influenza A (H1N1) pdm09 infection remained unknown. In this study, a mouse model of severe influenza A (H1N1) pdm09 infection was established. Our results show that, in the lungs of infected mice, the percentage of γδT cells, but not the percentages of CD4

Indexed as

acute lung injuryA (H1N1) pdm09 virusinfluenzainterleukin-17ANKG2DγδT cell subsets

Identifiers

PMID28912779
PMCPMC5583159
OpenAlexW2750766843

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.