Evidence map›Paper›PMID 37424791›Full record

ArticleFrontiers in cellular and infection microbiology2023

Metabolic pathway prediction of core microbiome based on enterotype and orotype.

Song Hee Lee, Han Lee, Hee Sang You, Ho-Joong Sung, Sung Hee Hyun

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. The importance of gut microbiome in the perinatal period.European journal of pediatrics · 2024
    Review
  6. Enterotype-Specific Effects of Red Beetroot (Life (Basel, Switzerland) · 2024
    Article
  7. Article
  8. 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

5 authors.

Song Hee LeeDepartment of Biomedical Laboratory Science, Graduate School, Eulji University, Uijeongbu, Republic of Korea.
Han LeeDepartment of Biomedical Laboratory Science, Graduate School, Eulji University, Uijeongbu, Republic of Korea.
Hee Sang YouLaboratory of Gastrointestinal Mucosal Immunology, Chung-Ang University College of Medicine, Seoul, Republic of Korea.
Ho-Joong SungDepartment of Biomedical Laboratory Science, College of Health Sciences, Eulji University, Seongnam, Republic of Korea.
Sung Hee HyunDepartment of Biomedical Laboratory Science, Graduate School, Eulji University, Uijeongbu, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Identification of key microbiome components has been suggested to help address the maintenance of oral and intestinal health in humans. The core microbiome is similar in all individuals, whereas the diverse microbiome varies across individuals, based on their unique lifestyles and phenotypic and genotypic determinants. In this study, we aimed to predict the metabolism of core microorganisms in the gut and oral environment based on enterotyping and orotyping. Materials and methods: Gut and oral samples were collected from 83 Korean women aged 50 years or older. The extracted DNA was subjected to next-generation sequencing analysis of 16S rRNA hypervariable regions V3-V4. Results: Gut bacteria were clustered into three enterotypes, while oral bacteria were clustered into three orotypes. Sixty-three of the core microbiome between the gut and oral population were correlated, and different metabolic pathways were predicted for each type. Conclusion: Overall, the study suggested that collapsing the human body's multidimensional microbiome into a few categories may help characterize the microbiomes better and address health issues more deeply.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaBacteriaFecesFemaleHumansMetabolic Networks and PathwaysRNA, Ribosomal, 16SRNA, Ribosomal, 16SActinomycesAtopobiumcore microbiomeEnterococcusEubacterium_g11gut microbiomeoral-gut axisoral microbiome

Identifiers

PMID37424791
PMCPMC10325833

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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.