Evidence map›Paper›PMID 36758022›Full record

ArticlePloS one2023

Fraction of plasma exomeres and low-density lipoprotein cholesterol as a predictor of fatal outcome of COVID-19.

Tatiana Usenko, Valentina Miroshnikova, Anastasia Bezrukova, Katerina Basharova, Sergey Landa, Zoia Korobova, Natalia Liubimova, Ivan Vlasov, Mikhael Nikolaev, Artem Izyumchenko and 8 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. CD66bJournal of extracellular vesicles · 2024
    Article
  3. 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

18 authors at 3 institutions in 1 country.

Tatiana UsenkoPetersburg Nuclear Physics Institute Named by B.P. Konstantinov of National Research Centre «Kurchatov Institute», Gatchina, Russia.ORCID 0000-0002-5132-2283
Valentina MiroshnikovaPetersburg Nuclear Physics Institute Named by B.P. Konstantinov of National Research Centre «Kurchatov Institute», Gatchina, Russia.
Anastasia BezrukovaPetersburg Nuclear Physics Institute Named by B.P. Konstantinov of National Research Centre «Kurchatov Institute», Gatchina, Russia.
Katerina BasharovaPetersburg Nuclear Physics Institute Named by B.P. Konstantinov of National Research Centre «Kurchatov Institute», Gatchina, Russia.
Sergey LandaPetersburg Nuclear Physics Institute Named by B.P. Konstantinov of National Research Centre «Kurchatov Institute», Gatchina, Russia.ORCID 0000-0001-5546-250X
Zoia KorobovaSaint Petersburg Pasteur Institute, Saint-Petersburg, Russia.
Natalia LiubimovaSaint Petersburg Pasteur Institute, Saint-Petersburg, Russia.
Ivan VlasovInstitute of Molecular Genetics, National Research Center "Kurchatov Institute", Moscow, Russia.
Mikhael NikolaevPetersburg Nuclear Physics Institute Named by B.P. Konstantinov of National Research Centre «Kurchatov Institute», Gatchina, Russia.
Artem IzyumchenkoPetersburg Nuclear Physics Institute Named by B.P. Konstantinov of National Research Centre «Kurchatov Institute», Gatchina, Russia.
Elena GavrilovaPavlov First Saint-Petersburg State Medical University, Saint-Petersburg, Russia.
Irina ShlykPavlov First Saint-Petersburg State Medical University, Saint-Petersburg, Russia.
Elena ChernitskayaPavlov First Saint-Petersburg State Medical University, Saint-Petersburg, Russia.
Yurii KovalchukPavlov First Saint-Petersburg State Medical University, Saint-Petersburg, Russia.
Petr SlominskyInstitute of Molecular Genetics, National Research Center "Kurchatov Institute", Moscow, Russia.
Areg TotolianSaint Petersburg Pasteur Institute, Saint-Petersburg, Russia.
Yurii PolushinPavlov First Saint-Petersburg State Medical University, Saint-Petersburg, Russia.
Sofya PchelinaPetersburg Nuclear Physics Institute Named by B.P. Konstantinov of National Research Centre «Kurchatov Institute», Gatchina, Russia.
First Pavlov State Medical University of St. Petersburg · RUKurchatov Institute · RUSaint Petersburg Pasteur Institute · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcriptomic analysis conducted by us previously revealed upregulation of genes involved in low-density lipoprotein particle receptor (LDLR) activity pathway in lethal COVID-19 caused by SARS-CoV-2 virus (severe acute respiratory syndrome coronavirus 2). Last data suggested the possible role of extracellular vesicles in COVID-19 pathogenesis. The aim of the present study was to retrospectively evaluate parameters of cholesterol metabolism and newly identified EVs, exomeres, as possible predictors of fatal outcome of COVID-19 patients infected by the Alpha and the Delta variants of SARS-CoV-2 virus. Blood from 67 patients with severe COVID-19 were collected at the time of admission to the intensive care unit (ICU) and 7 days after admission to the ICU. After 30 days patients were divided into two subgroups according to outcome-34 non-survivors and 33 survivors. This study demonstrated that plasma low- and high-density lipoprotein cholesterol levels (LDL-C and HDL-C) were decreased in non-survivors compared to controls at the time of admission to the ICU. The conjoint fraction of exomeres and LDL particles measured by dynamic light scattering (DLS) was decreased in non-survivors infected by the Alpha and the Delta variants compared to survivors at the time of admission to the ICU. We first showed that reduction of exomeres fraction may be critical in fatal outcome of COVID-19.

Indexed as

COVID-19Cholesterol, LDLHumansRetrospective StudiesSARS-CoV-2Cholesterol, LDL

Identifiers

PMID36758022
PMCPMC9910704
OpenAlexW4319656048

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.