Evidence map›Paper›PMID 34864875›Full record

ReviewBriefings in bioinformatics2022

Multiomics integration-based molecular characterizations of COVID-19.

Chuan-Xing Li, Jing Gao, Zicheng Zhang, Lu Chen, Xun Li, Meng Zhou, Åsa M Wheelock

Abstract readReview
In one paragraph

Review in Briefings in bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
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

22 citing papers in PubMed.

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  16. Article
  17. Structural insights into ORF10 recognition by ZYG11B.Biochemical and biophysical research communications · 2022
    Article
  18. COVIDomics: The Proteomic and Metabolomic Signatures of COVID-19.International journal of molecular sciences · 2022
    Review
  19. Review
  20. Review
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

7 authors.

Chuan-Xing LiRespiratory Medicine Unit, Department of Medicine & Centre for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0003-2189-5010
Jing GaoRespiratory Medicine Unit, Department of Medicine & Centre for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-7732-456X
Zicheng ZhangSchool of Biomedical Engineering, School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou, China.
Lu ChenSchool of Biomedical Engineering, School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou, China.
Xun LiThe First Hospital of Lanzhou University, Lanzhou, China.
Meng ZhouSchool of Biomedical Engineering, School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou, China.
Åsa M WheelockRespiratory Medicine Unit, Department of Medicine & Centre for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.

Funding

Lanzhou Municipal Chenguan District Science and Technology Program 2020JSCX0019Major Science and Technology Projects of Gansu Province 20ZD2FA001Sigrid Jusélius FoundationSwedish Asthma and Allergy FoundationSwedish Heart-Lung FoundationSwedish Research CouncilVäinö and Laina Kivi Foundation
6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) pandemic, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), rapidly became a global health challenge, leading to unprecedented social and economic consequences. The mechanisms behind the pathogenesis of SARS-CoV-2 are both unique and complex. Omics-scale studies are emerging rapidly and offer a tremendous potential to unravel the puzzle of SARS-CoV-2 pathobiology, as well as moving forward with diagnostics, potential drug targets, risk stratification, therapeutic responses, vaccine development and therapeutic innovation. This review summarizes various aspects of understanding multiomics integration-based molecular characterizations of COVID-19, which to date include the integration of transcriptomics, proteomics, genomics, lipidomics, immunomics and metabolomics to explore virus targets and developing suitable therapeutic solutions through systems biology tools. Furthermore, this review also covers an abridgment of omics investigations related to disease pathogenesis and virulence, the role of host genetic variation and a broad array of immune and inflammatory phenotypes contributing to understanding COVID-19 traits. Insights into this review, which combines existing strategies and multiomics integration profiling, may help further advance our knowledge of COVID-19.

Indexed as

COVID-19GenomicsPandemicsSARS-CoV-2Systems BiologyHumansCOVID-19molecular characteristicsmultiomics integrationoutcomeseveritysingle-cell omics

Identifiers

PMID34864875
PMCPMC8769889

What OpenQuestion holds

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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.