Evidence map›Paper›PMID 36403042›Full record

ArticleVirology journal2022

Characteristics of lymphocyte subset alterations in COVID-19 patients with different levels of disease severity.

Wei Dai, Aifang Zhong, Qinghua Qiao, Jian Wu, Weiwei Li, Qiuyue Wu, Hongjian Zhou, Shijie Qin, Weijun Jiang, Jing Zhang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Virology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Observational
  3. Review
  4. Article
  5. Article
  6. Article
  7. Alterations in the CD56International journal of molecular sciences · 2023
    Article
  8. Article
  9. In Response to Author: COVID-19 and T Cells: Do T Cells Really Matter?Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2023
    Article
  10. Review
  11. What Is the Impact of Baseline Inflammatory and Hemostatic Indicators with the Risk of Mortality in Severe Inpatients with COVID-19: A Retrospective Study.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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

11 authors at 5 institutions in 1 country.

Wei Dai *Institute of Laboratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing, 210002, Jiangsu, China.
Aifang Zhong *Department of Laboratory Medicine and Blood Transfusion, Wuhan Huoshenshan Hospital, Wuhan, 430100, Hubei, China.
Qinghua Qiao *Department of Laboratory Medicine and Blood Transfusion, Wuhan Huoshenshan Hospital, Wuhan, 430100, Hubei, China.
Jian WuInstitute of Laboratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing, 210002, Jiangsu, China.
Weiwei LiInstitute of Laboratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing, 210002, Jiangsu, China.
Qiuyue WuInstitute of Laboratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing, 210002, Jiangsu, China.
Hongjian ZhouInstitute of Laboratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing, 210002, Jiangsu, China.
Shijie QinInstitute of Laboratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing, 210002, Jiangsu, China.
Weijun JiangInstitute of Laboratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing, 210002, Jiangsu, China.
Jing ZhangInstitute of Laboratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing, 210002, Jiangsu, China.
Xinyi XiaInstitute of Laboratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing, 210002, Jiangsu, China. xinyixia@nju.edu.cn.
Nanjing General Hospital of Nanjing Military Command · CNNanjing University · CNChangzhou No.2 People's Hospital · CNJinling Institute of Technology · CNPingdingshan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 (COVID-19) is a respiratory disorder caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which had rapidly spread all over the world and caused public health emergencies in the past two years. Although the diagnosis and treatment for COVID-19 have been well defined, the immune cell characteristics and the key lymphocytes subset alterations in COVID-19 patients have not been thoroughly investigated.

methodsThe levels of immune cells including T cells, B cells, and natural killer (NK) cells in 548 hospitalized COVID-19 patients, and 30 types of lymphocyte subsets in 125 hospitalized COVID-19 patients admitted to Wuhan Huoshenshan Hospital of China were measured using flow cytometry. The relationship between lymphocytes subsets with the cytokine interleukin-6 (IL-6) and the characteristics of lymphocyte subsets in single-cell RNA sequencing (scRNA-seq) data obtained from peripheral blood mononuclear cells (PBMCs) were also analysed in COVID-19 patients.

resultsIn this study, we found that patients with critical COVID-19 infection exhibited an overall decline in lymphocytes including CD4

conclusionA comprehensive decrease in immune cell and lymphocyte subsets in critical COVID-19 patients, and peripheral lymphocyte subset alterations showed a clear association with clinical characteristics.

Indexed as

COVID-19CD8-Positive T-LymphocytesHumansInterleukin-6Leukocytes, MononuclearLymphocyte SubsetsSARS-CoV-2Severity of Illness IndexInterleukin-6COVID-19IL-6Immune cellsLymphocyte subsetsscRNA-seq

Identifiers

PMID36403042
PMCPMC9675966
OpenAlexW4309561663

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.