Evidence map›Paper›PMID 40078747›Full record

ArticleBiosafety and health2023

Rare peptide anchors of HLA class I alleles contribute to the COVID-19 disease severity and T cell memory.

Xin Wang, Jie Zhang, Peipei Guo, Yuanyuan Guo, Xiaonan Yang, Maoshun Liu, Danni Zhang, Yaxin Guo, Jianbo Zhan, Kun Cai and 3 more

Abstract read
In one paragraph

Article in Biosafety and health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Impact ofFrontiers in cellular and infection microbiology · 2026
    Article
  2. Article
  3. HLA-B*15:01-positive severe COVID-19 patients lack CD8Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. 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

13 authors.

Xin WangDepartment of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China.
Jie ZhangBeijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China.
Peipei GuoDepartment of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China.
Yuanyuan GuoDepartment of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China.
Xiaonan YangDepartment of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China.
Maoshun LiuNHC Key Laboratory of Biosafety, Research Unit of Adaptive Evolution and Control of Emerging Viruses, Chinese Academy of Medical Sciences, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China.
Danni ZhangNHC Key Laboratory of Biosafety, Research Unit of Adaptive Evolution and Control of Emerging Viruses, Chinese Academy of Medical Sciences, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China.
Yaxin GuoNHC Key Laboratory of Biosafety, Research Unit of Adaptive Evolution and Control of Emerging Viruses, Chinese Academy of Medical Sciences, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China.
Jianbo ZhanHubei Provincial Center for Disease Control and Prevention, Wuhan 430079, China.
Kun CaiHubei Provincial Center for Disease Control and Prevention, Wuhan 430079, China.
Jikun ZhouShijiazhuang Fifth Hospital, Shijiazhuang 050011, China.
Shaobo DongMacheng Center for Disease Control and Prevention, Huanggang 438300, China.
Jun LiuNHC Key Laboratory of Biosafety, Research Unit of Adaptive Evolution and Control of Emerging Viruses, Chinese Academy of Medical Sciences, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding how human leukocyte antigen (HLA) polymorphism affects both the susceptibility and severity of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection will help to identify individuals at higher risk to better manage and prioritize vaccination at the clinical level and explain the differences in epidemic trends in different regions at the epidemiological level. This study compared the frequencies of HLA class I alleles (HLA-A, B) in 214 coronavirus disease 2019 (COVID-19) patients with different disease severity and 35 healthy controls and analyzed the correlations between specific HLA alleles and disease severity and T cell memory. The results showed no significant difference in HLA allele frequencies between COVID-19 patients and healthy controls (

Indexed as

COVID-19Disease severityHLASARS-CoV-2Susceptibility

Identifiers

PMID40078747
PMCPMC11895035

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Registered trials

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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.