Evidence map›Paper›PMID 36404352›Full record

ArticleScientific reports2022

Plasma metabolomics and gene regulatory networks analysis reveal the role of nonstructural SARS-CoV-2 viral proteins in metabolic dysregulation in COVID-19 patients.

V A Ivanisenko, E V Gaisler, N V Basov, A D Rogachev, S V Cheresiz, T V Ivanisenko, P S Demenkov, E L Mishchenko, O P Khripko, Yu I Khripko and 6 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 28 citations in OpenAlex.

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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

16 authors at 4 institutions in 1 country.

V A IvanisenkoNovosibirsk State University, Pirogova Str., 2, 630090, Novosibirsk, Russia. salix@bionet.nsc.ru.
E V GaislerNovosibirsk State University, Pirogova Str., 2, 630090, Novosibirsk, Russia.
N V BasovNovosibirsk State University, Pirogova Str., 2, 630090, Novosibirsk, Russia.
A D RogachevNovosibirsk State University, Pirogova Str., 2, 630090, Novosibirsk, Russia.
S V CheresizNovosibirsk State University, Pirogova Str., 2, 630090, Novosibirsk, Russia.
T V IvanisenkoInstitute of Cytology and Genetics of Siberian Branch of Russian Academy of Sciences, Acad. Lavrentiev Ave., 10, 630090, Novosibirsk, Russia.
P S DemenkovInstitute of Cytology and Genetics of Siberian Branch of Russian Academy of Sciences, Acad. Lavrentiev Ave., 10, 630090, Novosibirsk, Russia.
E L MishchenkoInstitute of Cytology and Genetics of Siberian Branch of Russian Academy of Sciences, Acad. Lavrentiev Ave., 10, 630090, Novosibirsk, Russia.
O P KhripkoFederal Research Center for Fundamental and Translational Medicine, Timakov Str., 2, 630117, Novosibirsk, Russia.
Yu I KhripkoFederal Research Center for Fundamental and Translational Medicine, Timakov Str., 2, 630117, Novosibirsk, Russia.
S M VoevodaFederal Research Center for Fundamental and Translational Medicine, Timakov Str., 2, 630117, Novosibirsk, Russia.
T N KarpenkoState Budgetary Healthcare Institution of Novosibirsk Region 'City Clinical Hospital No. 11', Tankistov str., 23, 630120, Novosibirsk, Russia.
A J VelichkoState Budgetary Healthcare Institution of Novosibirsk Region 'City Clinical Hospital No. 11', Tankistov str., 23, 630120, Novosibirsk, Russia.
M I VoevodaFederal Research Center for Fundamental and Translational Medicine, Timakov Str., 2, 630117, Novosibirsk, Russia.
N A KolchanovNovosibirsk State University, Pirogova Str., 2, 630090, Novosibirsk, Russia.
A G PokrovskyNovosibirsk State University, Pirogova Str., 2, 630090, Novosibirsk, Russia.
Novosibirsk State University · RUFederal Research Center of Fundamental and Translational Medicine · RUInstitute of Cytology and Genetics · RUCity Clinical Hospital · RU

Funding

Ministry of Science and Higher Education of the Russian Federation 075-15-2021-944Ministry of Science and Higher Education of the Russian Federation FSUS-2020-0035Ministry of Science and Higher Education of the Russian Federation FWNR-2022-0020Russian Foundation for Basic Research 20-04-60314
6 · The paper itself

Abstract

Metabolomic analysis of blood plasma samples from COVID-19 patients is a promising approach allowing for the evaluation of disease progression. We performed the metabolomic analysis of plasma samples of 30 COVID-19 patients and the 19 controls using the high-performance liquid chromatography (HPLC) coupled with tandem mass spectrometric detection (LC-MS/MS). In our analysis, we identified 103 metabolites enriched in KEGG metabolic pathways such as amino acid metabolism and the biosynthesis of aminoacyl-tRNAs, which differed significantly between the COVID-19 patients and the controls. Using ANDSystem software, we performed the reconstruction of gene networks describing the potential genetic regulation of metabolic pathways perturbed in COVID-19 patients by SARS-CoV-2 proteins. The nonstructural proteins of SARS-CoV-2 (orf8 and nsp5) and structural protein E were involved in the greater number of regulatory pathways. The reconstructed gene networks suggest the hypotheses on the molecular mechanisms of virus-host interactions in COVID-19 pathology and provide a basis for the further experimental and computer studies of the regulation of metabolic pathways by SARS-CoV-2 proteins. Our metabolomic analysis suggests the need for nonstructural protein-based vaccines and the control strategy to reduce the disease progression of COVID-19.

Indexed as

COVID-19SARS-CoV-2Chromatography, LiquidDisease ProgressionGene Regulatory NetworksHumansPlasmaTandem Mass SpectrometryViral ProteinsViral Proteins

Identifiers

PMID36404352
PMCPMC9676188
OpenAlexW4309425106

What OpenQuestion holds

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LicenceCC BY
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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.