Evidence map›Paper›PMID 35686122›Full record

ArticleFrontiers in immunology2022

Proteomic and Metabolomic Signatures Associated With the Immune Response in Healthy Individuals Immunized With an Inactivated SARS-CoV-2 Vaccine.

Yi Wang, Xiaoxia Wang, Laurence Don Wai Luu, Shaojin Chen, Fu Jin, Shufang Wang, Xiaolan Huang, Licheng Wang, Xiaocui Zhou, Xi Chen and 4 more

Open access · goldAbstract read
In one paragraph

Article 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 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
6.8field-weighted citation impact, top 2% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.

  1. Pooled it
  2. Article
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  5. Recent Trends in Metabolomics by NMR Spectroscopy.Angewandte Chemie (International ed. in English) · 2026
    Review
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  16. iScience · 2023
    Article
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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

14 authors at 5 institutions in 2 countries.

Yi WangExperimental Research Center, Capital Institute of Pediatrics, Beijing, China.
Xiaoxia WangCentral & Clinical Laboratory of Sanya People's Hospital, Sanya, China.
Laurence Don Wai LuuSchool of Biotechnology and Biomolecular Science, University of New South Wales, Sydney, NSW, Australia.
Shaojin ChenCentral & Clinical Laboratory of Sanya People's Hospital, Sanya, China.
Fu JinExperimental Research Center, Capital Institute of Pediatrics, Beijing, China.
Shufang WangNursing department of Sanya People's Hospital, Sanya, China.
Xiaolan HuangExperimental Research Center, Capital Institute of Pediatrics, Beijing, China.
Licheng WangCentral & Clinical Laboratory of Sanya People's Hospital, Sanya, China.
Xiaocui ZhouCentral & Clinical Laboratory of Sanya People's Hospital, Sanya, China.
Xi ChenCentral & Clinical Laboratory of Sanya People's Hospital, Sanya, China.
Xiaodai CuiExperimental Research Center, Capital Institute of Pediatrics, Beijing, China.
Jieqiong LiDepartment of Respiratory Disease, Beijing Pediatric Research Institute, Beijing Children's Hospital, National Center for Children's Health, Capital Medical University, Beijing, China.
Jun TaiDepartment of Otolaryngology, Head and Neck Surgery, Children's Hospital Capital Institute of Pediatrics, Beijing, China.
Xiong ZhuCentral & Clinical Laboratory of Sanya People's Hospital, Sanya, China.
Sanya Central Hospital · CNCapital Institute of Pediatrics · CNBeijing Children’s Hospital · CNChildren's Hospital of Capital Institute of Pediatrics · CNUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CoronaVac (Sinovac), an inactivated vaccine for SARS-CoV-2, has been widely used for immunization. However, analysis of the underlying molecular mechanisms driving CoronaVac-induced immunity is still limited. Here, we applied a systems biology approach to understand the mechanisms behind the adaptive immune response to CoronaVac in a cohort of 50 volunteers immunized with 2 doses of CoronaVac. Vaccination with CoronaVac led to an integrated immune response that included several effector arms of the adaptive immune system including specific IgM/IgG, humoral response and other immune response, as well as the innate immune system as shown by complement activation. Metabolites associated with immunity were also identified implicating the role of metabolites in the humoral response, complement activation and other immune response. Networks associated with the TCA cycle and amino acids metabolic pathways, such as phenylalanine metabolism, phenylalanine, tyrosine and tryptophan biosynthesis, and glycine, serine and threonine metabolism were tightly coupled with immunity. Critically, we constructed a multifactorial response network (MRN) to analyze the underlying interactions and compared the signatures affected by CoronaVac immunization and SARS-CoV-2 infection to further identify immune signatures and related metabolic pathways altered by CoronaVac immunization. These results help us to understand the host response to vaccination of CoronaVac and highlight the utility of a systems biology approach in defining molecular correlates of protection to vaccination.

Indexed as

COVID-19Viral VaccinesAdaptive ImmunityCOVID-19 VaccinesHumansPhenylalanineProteomicsSARS-CoV-2Vaccines, InactivatedCOVID-19 VaccinesPhenylalanineVaccines, InactivatedViral VaccinesCoronaVacCOVID-19immune response.metabolomicsproteomicsSARS-CoV-2

Identifiers

PMID35686122
PMCPMC9171821
OpenAlexW4285741981

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.