Evidence map›Paper›PMID 36379915›Full record

ArticleSignal transduction and targeted therapy2022

Innate immune imprints in SARS-CoV-2 Omicron variant infection convalescents.

Zhiqing Li, Xiaosu Chen, Junyan Dan, Tianju Hu, Ye Hu, Shuxun Liu, Yangyang Chai, Yansong Shi, Jian Wu, Hailai Ni and 10 more

Open access · goldAbstract read
In one paragraph

Article in Signal transduction and targeted therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 19% 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, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Mucosal immune response in biology, disease prevention and treatment.Signal transduction and targeted therapy · 2025
    Pooled it
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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

20 authors at 5 institutions in 2 countries.

Zhiqing Li *National Key Laboratory of Medical Immunology, Institute of Immunology, Naval Medical University, Shanghai, 200433, China.
Xiaosu Chen *Frontier Research Center for Cell Response, Institute of Immunology, College of Life Sciences, Nankai University, Tianjin, 300071, China.
Junyan Dan *National Key Laboratory of Medical Immunology, Institute of Immunology, Naval Medical University, Shanghai, 200433, China.
Tianju Hu *Department of Immunology, Institute of Basic Medical Research, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, 100005, China.
Ye Hu *Frontier Research Center for Cell Response, Institute of Immunology, College of Life Sciences, Nankai University, Tianjin, 300071, China.
Shuxun Liu *National Key Laboratory of Medical Immunology, Institute of Immunology, Naval Medical University, Shanghai, 200433, China. liusx@immunol.org.
Yangyang ChaiDepartment of Immunology, Institute of Basic Medical Research, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, 100005, China.
Yansong ShiFrontier Research Center for Cell Response, Institute of Immunology, College of Life Sciences, Nankai University, Tianjin, 300071, China.
Jian WuNational Key Laboratory of Medical Immunology, Institute of Immunology, Naval Medical University, Shanghai, 200433, China.
Hailai NiThe Health Care Department, Shanghai Changhai Hospital, Shanghai, 200433, China.
Jiaqi ZhuDepartment of Cardiology, Shanghai Changhai Hospital, Shanghai, 200433, China.
Yanfeng WuNational Key Laboratory of Medical Immunology, Institute of Immunology, Naval Medical University, Shanghai, 200433, China.
Nan LiNational Key Laboratory of Medical Immunology, Institute of Immunology, Naval Medical University, Shanghai, 200433, China.
Yizhi YuNational Key Laboratory of Medical Immunology, Institute of Immunology, Naval Medical University, Shanghai, 200433, China.
Zhongfang WangGuangzhou Laboratory, Guangzhou, 510300, China.
Jincun ZhaoGuangzhou Laboratory, Guangzhou, 510300, China.ORCID 0000-0003-2515-5589
Nanshan ZhongGuangzhou Laboratory, Guangzhou, 510300, China.
Xianwen RenChangping Laboratory, Beijing, 102206, China. renxwise@cpl.ac.cn.
Zhongyang ShenOrgan Transplant Center, Tianjin First Central Hospital, Nankai University, Tianjin, 300192, China. zhongyangshen@nankai.edu.cn.
Xuetao CaoNational Key Laboratory of Medical Immunology, Institute of Immunology, Naval Medical University, Shanghai, 200433, China. caoxt@immunol.org.
Nankai University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNSecond Military Medical University · CNChangchun Observatory · CNInstitute of Immunology · HR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2 Omicron variant infection generally gives rise to asymptomatic to moderate COVID-19 in vaccinated people. The immune cells can be reprogrammed or "imprinted" by vaccination and infections to generate protective immunity against subsequent challenges. Considering the immune imprint in Omicron infection is unclear, here we delineate the innate immune landscape of human Omicron infection via single-cell RNA sequencing, surface proteome profiling, and plasma cytokine quantification. We found that monocyte responses predominated in immune imprints of Omicron convalescents, with IL-1β-associated and interferon (IFN)-responsive signatures with mild and moderate symptoms, respectively. Low-density neutrophils increased and exhibited IL-1β-associated and IFN-responsive signatures similarly. Mild convalescents had increased blood IL-1β, CCL4, IL-9 levels and PI3

Indexed as

COVID-19CytokinesHumansImmunity, InnateSARS-CoV-2Cytokines

Identifiers

PMID36379915
PMCPMC9666472
OpenAlexW4309190139

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.