Evidence map›Paper›PMID 33772013›Full record

ArticleNature communications2021

Host-derived lipids orchestrate pulmonary γδ T cell response to provide early protection against influenza virus infection.

Xiaohui Wang, Xiang Lin, Zihan Zheng, Bingtai Lu, Jun Wang, Andy Hee-Meng Tan, Meng Zhao, Jia Tong Loh, Sze Wai Ng, Qian Chen and 14 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 9% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. γδ T cells in oral diseases.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2024
    Pooled it
  2. Review
  3. Single-Cell RNA Sequencing of Thyroid Tissues Reveals Pathogenesis of Graves' Disease.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  4. Article
  5. γ9δ2 T cells detect mevalonate diphosphate via BTN3A3.Cellular and molecular life sciences : CMLS · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. γδ T cells: origin and fate, subsets, diseases and immunotherapy.Signal transduction and targeted therapy · 2023
    Review
  20. 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

24 authors at 9 institutions in 5 countries.

Xiaohui WangDepartment of Pathology and Shenzhen Institute of Research and Innovation, The University of Hong Kong, Hong Kong, China. xiaohuiwang@hku.hk.ORCID 0000-0003-1434-2055
Xiang LinDepartment of Pathology and Shenzhen Institute of Research and Innovation, The University of Hong Kong, Hong Kong, China.ORCID 0000-0002-9065-2744
Zihan ZhengChongqing International Institute for Immunology, Chongqing, China.
Bingtai LuDepartment of Respiratory Medicine and Guangzhou Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Jun WangDepartment of Respiratory Medicine and Guangzhou Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.ORCID 0000-0003-2553-196X
Andy Hee-Meng TanBioprocessing Technology Institute, Agency for Science, Technology and Research, Singapore, Singapore.
Meng ZhaoMinistry of Education Key Laboratory of Protein Sciences, Center for Life Sciences, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Institute for Immunology, School of Life Sciences, Tsinghua University, Beijing, China.ORCID 0000-0002-9967-7075
Jia Tong LohBioprocessing Technology Institute, Agency for Science, Technology and Research, Singapore, Singapore.
Sze Wai NgBioprocessing Technology Institute, Agency for Science, Technology and Research, Singapore, Singapore.
Qian ChenDepartment of Pathology and Shenzhen Institute of Research and Innovation, The University of Hong Kong, Hong Kong, China.
Fan XiaoDepartment of Pathology and Shenzhen Institute of Research and Innovation, The University of Hong Kong, Hong Kong, China.
Enyu HuangDepartment of Pathology and Shenzhen Institute of Research and Innovation, The University of Hong Kong, Hong Kong, China.
King-Hung KoDepartment of Pathology and Shenzhen Institute of Research and Innovation, The University of Hong Kong, Hong Kong, China.
Zhong HuangDepartment of Pathogen Biology and Immunology, Shenzhen University School of Medicine, Shenzhen, China.
Jingyi LiChongqing International Institute for Immunology, Chongqing, China.
Kin-Hang KokDepartment of Microbiology, State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Hong Kong, China.ORCID 0000-0003-3426-332X
Gen LuDepartment of Respiratory Medicine and Guangzhou Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Xiaohui LiuNational Protein Science Facility, Tsinghua University, Beijing, China.
Kong-Peng LamBioprocessing Technology Institute, Agency for Science, Technology and Research, Singapore, Singapore.ORCID 0000-0002-1316-4333
Wanli LiuMinistry of Education Key Laboratory of Protein Sciences, Center for Life Sciences, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Institute for Immunology, School of Life Sciences, Tsinghua University, Beijing, China.ORCID 0000-0003-0395-2800
Yuxia ZhangDepartment of Respiratory Medicine and Guangzhou Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.ORCID 0000-0003-2715-0925
Kwok-Yung YuenDepartment of Microbiology, State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Hong Kong, China.ORCID 0000-0002-2083-1552
Tak Wah MakDepartment of Pathology and Shenzhen Institute of Research and Innovation, The University of Hong Kong, Hong Kong, China.
Liwei LuDepartment of Pathology and Shenzhen Institute of Research and Innovation, The University of Hong Kong, Hong Kong, China. liweilu@hku.hk.ORCID 0000-0002-8634-0967
City University of Hong Kong, Shenzhen Research Institute · CNAgency for Science, Technology and Research · SGGuangzhou Medical University · CNCenter for Life Sciences · CNUniversity of Hong Kong · HKShenzhen University · CNSichuan International Studies University · CNTsinghua University · CNUniversity Health Network · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Innate immunity is important for host defense by eliciting rapid anti-viral responses and bridging adaptive immunity. Here, we show that endogenous lipids released from virus-infected host cells activate lung γδ T cells to produce interleukin 17 A (IL-17A) for early protection against H1N1 influenza infection. During infection, the lung γδ T cell pool is constantly supplemented by thymic output, with recent emigrants infiltrating into the lung parenchyma and airway to acquire tissue-resident feature. Single-cell studies identify IL-17A-producing γδ T (Tγδ17) cells with a phenotype of TCRγδ

Indexed as

AnimalsAntigens, CD1dFemaleHost-Pathogen InteractionsHumansImmunity, InnateInfluenza A Virus, H1N1 SubtypeInfluenza, HumanInterferon Regulatory Factor-4Interferon Regulatory FactorsInterleukin-17LipidsLungMiceMice, Inbred C57BLMice, KnockoutAntigens, CD1dInterferon Regulatory Factor-4Interferon Regulatory FactorsInterleukin-17LipidsReceptors, Antigen, T-Cell, gamma-delta

Identifiers

PMID33772013
PMCPMC7997921
OpenAlexW3136813358

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.