Evidence map›Paper›PMID 36203586›Full record

ReviewFrontiers in immunology2022

Proteomic insights into SARS-CoV-2 infection mechanisms, diagnosis, therapies and prognostic monitoring methods.

Shengman Yu, Xiaoyan Li, Zhuoyuan Xin, Liyuan Sun, Jingwei Shi

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Utility of Protein Markers in COVID-19 Patients.International journal of molecular sciences · 2025
    Review
  4. The Impact of Serum/Plasma Proteomics on SARS-CoV-2 Diagnosis and Prognosis.International journal of molecular sciences · 2024
    Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Circulating Peptidome Is Strongly Altered in COVID-19 Patients.International journal of environmental research and public health · 2023
    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

5 authors at 2 institutions in 1 country.

Shengman YuDepartment of Laboratory Medicine Center, China-Japan Union Hospital, Jilin University, Changchun, China.
Xiaoyan LiDepartment of Infection Control Department, Hospital of Stomatology, Jilin University, Changchun, China.
Zhuoyuan XinThe Key Laboratory of Zoonosis Research, Chinese Ministry of Education, College of Basic Medical Science, Jilin University, Changchun, China.
Liyuan SunSchool of Laboratory Medicine, Beihua University, Jilin, China.
Jingwei ShiDepartment of Laboratory Medicine Center, China-Japan Union Hospital, Jilin University, Changchun, China.
Jilin University · CNBeihua University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

At the end of 2019, the COVID-19 pandemic, caused by severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) infection, seriously damaged world public health security. Several protein markers associated with virus infection have been extensively explored to combat the ever-increasing challenge posed by SARS-CoV-2. The proteomics of COVID-19 deepened our understanding of viral particles and their mechanisms of host invasion, providing us with information on protein changes in host tissues, cells and body fluids following infection in COVID-19 patients. In this review, we summarize the proteomic studies of SARS-CoV-2 infection and review the current understanding of COVID-19 in terms of the quantitative and qualitative proteomics of viral particles and host entry factors from the perspective of protein pathological changes in the organism following host infection.

Indexed as

COVID-19Angiotensin-Converting Enzyme 2COVID-19 TestingHumansPandemicsPeptidyl-Dipeptidase APrognosisProteomicsSARS-CoV-2Angiotensin-Converting Enzyme 2Peptidyl-Dipeptidase ACOVID-19protein biomarkerproteomicsSARS-CoV-2virus infection

Identifiers

PMID36203586
PMCPMC9530739
OpenAlexW4297907335

What Socratic 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 Socratic graph.