Evidence map›Paper›PMID 41853380›Full record

ArticleFrontiers in microbiomes2023

Microbial communities of the upper respiratory tract in mild and severe COVID-19 patients: a possible link with the disease course.

Julia S Galeeva, Elizaveta V Starikova, Dmitry E Fedorov, Alexander I Manolov, Alexander V Pavlenko, Dmitry N Konanov, Danil V Krivonos, Vladislav V Babenko, Ksenia M Klimina, Vladimir A Veselovsky and 5 more

Abstract read
In one paragraph

Article in Frontiers in microbiomes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

15 authors.

Julia S GaleevaResearch Institute for Systems Biology and Medicine, Department of Mathematical Biology and Bioinformatics, Moscow, Russia.
Elizaveta V StarikovaResearch Institute for Systems Biology and Medicine, Department of Mathematical Biology and Bioinformatics, Moscow, Russia.
Dmitry E FedorovResearch Institute for Systems Biology and Medicine, Department of Mathematical Biology and Bioinformatics, Moscow, Russia.
Alexander I ManolovResearch Institute for Systems Biology and Medicine, Department of Mathematical Biology and Bioinformatics, Moscow, Russia.
Alexander V PavlenkoResearch Institute for Systems Biology and Medicine, Department of Mathematical Biology and Bioinformatics, Moscow, Russia.
Dmitry N KonanovResearch Institute for Systems Biology and Medicine, Department of Mathematical Biology and Bioinformatics, Moscow, Russia.
Danil V KrivonosResearch Institute for Systems Biology and Medicine, Department of Mathematical Biology and Bioinformatics, Moscow, Russia.
Vladislav V BabenkoLopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Department of Molecular Genetics of Microorganisms, Moscow, Russia.
Ksenia M KliminaLopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Department of Molecular Genetics of Microorganisms, Moscow, Russia.
Vladimir A VeselovskyLopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Department of Molecular Genetics of Microorganisms, Moscow, Russia.
Maxim D MorozovLopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Department of Molecular Genetics of Microorganisms, Moscow, Russia.
Ilshat R GafurovKazan Federal University, Department of Molecular Medicine and Biology, Kazan, Russia.
Raushaniya F GaifullinaKazan Federal University, Department of Molecular Medicine and Biology, Kazan, Russia.
Vadim M GovorunResearch Institute for Systems Biology and Medicine, Department of Mathematical Biology and Bioinformatics, Moscow, Russia.
Elena N IlinaResearch Institute for Systems Biology and Medicine, Department of Mathematical Biology and Bioinformatics, Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The microbiota of the respiratory tract remains a relatively poorly studied subject. At the same time, it is involved in modulating the immune response to infectious agents in the host organism, just like the intestinal microbiota. A relationship between the composition of the respiratory microbiota and the likelihood of development and the severity of COVID-19 may be assumed. In this study, we applied the 16S rRNA metagenomic sequencing to analyze the oropharyngeal swabs from 120 COVID-19 patients collected during the first and the second waves of the COVID-19 epidemic in Russia. Differential abundance analysis with respect to comorbidities suggested association of

Indexed as

16SCOVID-19human microbiomeoropharyngeal swabsSARS-CoV-2upper respiratory tract

Identifiers

PMID41853380
PMCPMC12993638

What OpenQuestion holds

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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.