Evidence map›Paper›PMID 35185811›Full record

ArticleFrontiers in microbiology2021

Hi-C Metagenomics in the ICU: Exploring Clinically Relevant Features of Gut Microbiome in Chronically Critically Ill Patients.

Valeriia Ivanova, Ekaterina Chernevskaya, Petr Vasiluev, Artem Ivanov, Ivan Tolstoganov, Daria Shafranskaya, Vladimir Ulyantsev, Anton Korobeynikov, Sergey V Razin, Natalia Beloborodova and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2021. 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
2.7field-weighted citation impact, top 9% 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, 33 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
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  6. Article
  7. Article
  8. GGut microbes · 2025
    Review
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  20. Unraveling the Polysaccharide Biosynthesis Potential ofJournal of fungi (Basel, Switzerland) · 2023
    Article
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

12 authors at 5 institutions in 1 country.

Valeriia IvanovaInstitute of Gene Biology Russian Academy of Sciences, Moscow, Russia.
Ekaterina ChernevskayaInstitute of Gene Biology Russian Academy of Sciences, Moscow, Russia.
Petr VasiluevInstitute of Gene Biology Russian Academy of Sciences, Moscow, Russia.
Artem IvanovComputer Technologies Laboratory, ITMO University, Saint Petersburg, Russia.
Ivan TolstoganovCenter for Algorithmic Biotechnologies, Saint Petersburg State University, Saint Petersburg, Russia.
Daria ShafranskayaCenter for Algorithmic Biotechnologies, Saint Petersburg State University, Saint Petersburg, Russia.
Vladimir UlyantsevComputer Technologies Laboratory, ITMO University, Saint Petersburg, Russia.
Anton KorobeynikovCenter for Algorithmic Biotechnologies, Saint Petersburg State University, Saint Petersburg, Russia.
Sergey V RazinInstitute of Gene Biology Russian Academy of Sciences, Moscow, Russia.
Natalia BeloborodovaFederal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Moscow, Russia.
Sergey V UlianovInstitute of Gene Biology Russian Academy of Sciences, Moscow, Russia.
Alexander TyakhtInstitute of Gene Biology Russian Academy of Sciences, Moscow, Russia.
Institute of Gene Biology · RUSt Petersburg University · RUITMO University · RULomonosov Moscow State University · RUV.A. Negovsky Scientific Research Institute of General Reanimatology · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gut microbiome in critically ill patients shows profound dysbiosis. The most vulnerable is the subgroup of chronically critically ill (CCI) patients - those suffering from long-term dependence on support systems in intensive care units. It is important to investigate their microbiome as a potential reservoir of opportunistic taxa causing co-infections and a morbidity factor. We explored dynamics of microbiome composition in the CCI patients by combining "shotgun" metagenomics with chromosome conformation capture (Hi-C). Stool samples were collected at 2 time points from 2 patients with severe brain injury with different outcomes within a 1-2-week interval. The metagenome-assembled genomes (MAGs) were reconstructed based on the Hi-C data using a novel hicSPAdes method (along with the bin3c method for comparison), as well as independently of the Hi-C using MetaBAT2. The resistomes of the samples were derived using a novel assembly graph-based approach. Links of bacteria to antibiotic resistance genes, plasmids and viruses were analyzed using Hi-C-based networks. The gut community structure was enriched in opportunistic microorganisms. The binning using hicSPAdes was superior to the conventional WGS-based binning as well as to the bin3c in terms of the number, completeness and contamination of the reconstructed MAGs. Using

Indexed as

antibiotic resistancebinningcritical caregut microbiomeHi-C metagenomicsKlebsiellametagenome-assembled genomeplasmids

Identifiers

PMID35185811
PMCPMC8851603
OpenAlexW4210525733

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.