Evidence map›Paper›PMID 33521209›Full record

ArticleGenes & diseases2022

Immune characteristics analysis reveals two key inflammatory factors correlated to the expressions of SARS-CoV-2 S1-specific antibodies.

Shenglong Li, Wang Wang, Tingting Li, Xiaojian Han, Chao Hu, Yingming Wang, Meiying Shen, Li Du, Yaru Nai, Jianwei Wang and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Genes & diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 38% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. A non-RBM targeted RBD specific antibody neutralizes SARS-CoV-2 inducing S1 shedding.Biochemical and biophysical research communications · 2021
    Article
  4. Article
  5. 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 2 institutions in 1 country.

Shenglong LiDepartment of Immunology, College of Basic Medicine, Chongqing Medical University, Chongqing 400016, PR China.
Wang WangDepartment of Immunology, College of Basic Medicine, Chongqing Medical University, Chongqing 400016, PR China.
Tingting LiDepartment of Immunology, College of Basic Medicine, Chongqing Medical University, Chongqing 400016, PR China.
Xiaojian HanDepartment of Immunology, College of Basic Medicine, Chongqing Medical University, Chongqing 400016, PR China.
Chao HuDepartment of Immunology, College of Basic Medicine, Chongqing Medical University, Chongqing 400016, PR China.
Yingming WangDepartment of Immunology, College of Basic Medicine, Chongqing Medical University, Chongqing 400016, PR China.
Meiying ShenDepartment of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin 150081, PR China.
Li DuDepartment of Immunology, College of Basic Medicine, Chongqing Medical University, Chongqing 400016, PR China.
Yaru NaiDepartment of Immunology, College of Basic Medicine, Chongqing Medical University, Chongqing 400016, PR China.
Jianwei WangDepartment of Immunology, College of Basic Medicine, Chongqing Medical University, Chongqing 400016, PR China.
Aishun JinDepartment of Immunology, College of Basic Medicine, Chongqing Medical University, Chongqing 400016, PR China.
Chongqing Medical University · CNThird Affiliated Hospital of Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pandemic of COVID-19 caused by SARS-CoV-2 has made serious threats to the public health. Antibodies have been considered as promising therapeutics for the prevention and treatment of pathogens. So far, effectors that can influence the sustainability of SARS-CoV-2 specific antibodies in COVID-19 patients are still unclear. In this paper, we attempted to find potential key factors correlated with SARS-CoV-2 specific antibodies. Transcriptional analysis with the peripheral blood mononuclear cells (PBMCs) revealed proportional changes of immune cell subsets in COVID-19 convalescent patients, including a substantial decrease of monocytes and evident increase of dendritic cells (DCs). Moreover, we found that the gene expressions of chemokines associated with monocyte/macrophage were significantly up-regulated during the COVID-19 recovery phase. Most importantly, we found a set of 27 immune genes corresponding to a comparatively lower amount of SARS-CoV-2 specific antibodies, and identified two hub genes,

Indexed as

AntibodiesConvalescent stageCOVID-19CytokinesIL1β and IL6

Identifiers

PMID33521209
PMCPMC7832135
OpenAlexW3117070727

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.