Evidence map›Paper›PMID 31441799›Full record

ArticleEuropean journal of gastroenterology & hepatology2019

Characterisation of blood microbiota in patients with liver cirrhosis.

Mikio Kajihara, Shigeo Koido, Tomoya Kanai, Zensho Ito, Yoshihiro Matsumoto, Kazuki Takakura, Masayuki Saruta, Kumiko Kato, Toshitaka Odamaki, Jin-Zhong Xiao and 2 more

Abstract read
In one paragraph

Article in European journal of gastroenterology & hepatology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Pathological Alterations in Human Blood Microbiome-An Updated Review.International journal of molecular sciences · 2025
    Review
  5. Research advance in correlation between childhood asthma and gut microbiota.Frontiers in cellular and infection microbiology · 2025
    Review
  6. Review
  7. Review
  8. The Impact of ProbioticLife (Basel, Switzerland) · 2024
    Review
  9. Article
  10. Bacterial Analysis of the Whole Blood in Chinese Healthy Donors Using 16S rDNA-Targeted Metagenomic Sequencing.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2024
    Article
  11. The Role ofMicroorganisms · 2023
    Review
  12. Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. Review
  20. 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.

Mikio KajiharaDepartment of Gastroenterology and Hepatology, The Jikei University Kashiwa Hospital, Kashiwa.
Shigeo KoidoDepartment of Gastroenterology and Hepatology, The Jikei University Kashiwa Hospital, Kashiwa.
Tomoya KanaiDepartment of Gastroenterology and Hepatology, The Jikei University Kashiwa Hospital, Kashiwa.
Zensho ItoDepartment of Gastroenterology and Hepatology, The Jikei University Kashiwa Hospital, Kashiwa.
Yoshihiro MatsumotoDepartment of Gastroenterology and Hepatology, The Jikei University Kashiwa Hospital, Kashiwa.
Kazuki TakakuraDepartment of Gastroenterology and Hepatology, The Jikei University Kashiwa Hospital, Kashiwa.
Masayuki SarutaDivision of Gastroenterology and Hepatology, Department of Internal Medicine, The Jikei University School of Medicine.
Kumiko KatoNext Generation Science Institute, Morinaga Milk Industry Co., Ltd.
Toshitaka OdamakiNext Generation Science Institute, Morinaga Milk Industry Co., Ltd.
Jin-Zhong XiaoNext Generation Science Institute, Morinaga Milk Industry Co., Ltd.
Nobuhiro SatoDepartment of Microbiota Research, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Toshifumi OhkusaDepartment of Gastroenterology and Hepatology, The Jikei University Kashiwa Hospital, Kashiwa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsBacterial infections arising in patients with liver cirrhosis are associated with life-threatening complications such as hepatic encephalopathy and spontaneous bacterial peritonitis in relation to bacterial translocation. To investigate the state of bacterial translocation, we surveyed the peripheral blood microbiota by 16S rRNA gene sequencing and analysed the blood microbial profiles.

methodsSixty-six patients with liver cirrhosis were enrolled in this study, whereas 14 healthy individuals were also analysed as controls. Total RNA was purified from the peripheral blood, and an approximately 430 base pair genomic locus which included the V3-V4 region of the 16s rRNA gene was amplified and assessed using bacterial pyrosequencing.

resultsAt the genus level, a total of 183 operational taxonomic units were identified in cirrhotic patients, whereas 123 units in controls. Intergroup differences in gut microbiota were analysed by the linear discriminant analysis effect size, which showed that the abundance of Enterobacteriaceae was significantly higher in cirrhotics. On the contrary, the abundance of Akkermansia, Rikenellaceae and Erysipelotrichales were significantly lower in cirrhotics (relative abundance of Akkermansia in cirrhotics and controls: 0% and 0.2%, respectively; Rikenellaceae: 0.1% and 0.92%; Erysipelotrichales: 0.58% and 1.21%).

conclusionThe present study has demonstrated that various circulating bacteria are present in cirrhotic patients, and the diversity of such bacteria is consistent with the presence of dysbiosis in cirrhotics. Although the clinical significance of the findings remains to be clarified, the findings may potentially facilitate diagnostic and therapeutic attempts to comprehend and furthermore to manipulate bacterial infections in cirrhotic patients.

Indexed as

AgedBloodFemaleHumansLiver CirrhosisMaleMicrobiotaRNA, BacterialRNA, Ribosomal, 16SRNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID31441799
PMCPMC6844652

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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.