Evidence map›Paper›PMID 39130620›Full record

ArticleJournal of clinical and translational hepatology2024

Gut Microbiota and Cytokine Profile in Cirrhosis.

Irina Efremova, Roman Maslennikov, Anna Kudryavtseva, Anastasia Avdeeva, George Krasnov, Mikhail Diatroptov, Vyacheslav Bakhitov, Salekh Aliev, Natalia Sedova, Maria Fedorova and 5 more

Abstract read
In one paragraph

Article in Journal of clinical and translational hepatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
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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.

Irina EfremovaDepartment of Internal Medicine, Gastroenterology and Hepatology, Sechenov University, Moscow, Russia.
Roman MaslennikovDepartment of Internal Medicine, Gastroenterology and Hepatology, Sechenov University, Moscow, Russia.ORCID https://orcid.org/0000-0001-7513-1636
Anna KudryavtsevaPost-Genomic Research Laboratory, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
Anastasia AvdeevaV.A. Nasonova Research Institute of Rheumatology, Moscow, Russia.
George KrasnovPost-Genomic Research Laboratory, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
Mikhail DiatroptovV.A. Nasonova Research Institute of Rheumatology, Moscow, Russia.
Vyacheslav BakhitovConsultative and Diagnostic Center 2 of the Moscow Health Department, Moscow, Russia.
Salekh AlievConsultative and Diagnostic Center 2 of the Moscow Health Department, Moscow, Russia.
Natalia SedovaConsultative and Diagnostic Center 2 of the Moscow Health Department, Moscow, Russia.
Maria FedorovaPost-Genomic Research Laboratory, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
Elena PoluektovaDepartment of Internal Medicine, Gastroenterology and Hepatology, Sechenov University, Moscow, Russia.
Oxana ZolnikovaDepartment of Internal Medicine, Gastroenterology and Hepatology, Sechenov University, Moscow, Russia.
Nariman AlievConsultative and Diagnostic Center 2 of the Moscow Health Department, Moscow, Russia.
Anna LevshinaDepartment of Internal Medicine, Gastroenterology and Hepatology, Sechenov University, Moscow, Russia.
Vladimir IvashkinDepartment of Internal Medicine, Gastroenterology and Hepatology, Sechenov University, Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Gut dysbiosis and abnormal cytokine profiles are common in cirrhosis. This study aimed to evaluate the correlations between them. Methods: In the blood plasma of cirrhosis patients and controls, 27 cytokines were examined using a multiplex assay. The plasma levels of nitrites (stable metabolites of the endothelial dysfunction biomarker nitric oxide) and lipopolysaccharide (LPS) were examined. The fecal microbiota was assessed by 16S rRNA gene sequencing. Results: Levels of IL-1b, IL-2, IL-6, IL-13, IP-10, IFN-g, TNF-a, LPS, and nitrites were higher in cirrhosis patients than in controls, while levels of IL-4, IL-7, and PDGF-BB were lower. The LPS level was directly correlated with the levels of IL-1b, IL1-Ra, IL-9, IL-17, PDGF-BB, IL-6, TNF-a, and nitrites. The nitrite level was significantly directly correlated with the levels of TNF-a, GM-CSF, IL-17, and IL-12, and inversely correlated with the IL-7 level. TNF-a levels were directly correlated with ascites severity and the abundance of Negativicutes, Enterobacteriaceae, Veillonellaceae, and Klebsiella, while inversely correlated with the abundance of Firmicutes, Clostridia, and Subdoligranulum. IFN-g levels were directly correlated with the abundance of Bacteroidaceae, Lactobacillaceae, Bacteroides, and Megasphaera, and inversely correlated with the abundance of Verrucomicrobiota, Akkermansiaceae, Coriobacteriaceae, Akkermansia, Collinsella, and Gemella. IL-1b levels were directly correlated with the abundance of Comamonadaceae and Enterobacteriaceae and inversely correlated with the abundance of Marinifilaceae and Dialister. IL-6 levels were directly correlated with the abundance of Enterobacteriaceae, hepatic encephalopathy, and ascites severity, and inversely correlated with the abundance of Peptostreptococcaceae, Streptococcaceae, and Streptococcus. Conclusions: The abundance of harmful gut microbiota taxa and endotoxinemia directly correlates with the levels of proinflammatory cytokines.

Indexed as

EndotoxemiaEndotoxinGut-liver axisGut microbiomeLeaky gutSystemic inflammation

Identifiers

PMID39130620
PMCPMC11310756

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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.