Evidence map›Paper›PMID 31623075›Full record

ReviewMicroorganisms2019

Gut Microbiome Modulation Based on Probiotic Application for Anti-Obesity: A Review on Efficacy and Validation.

Kaliyan Barathikannan, Ramachandran Chelliah, Momna Rubab, Eric Banan-Mwine Daliri, Fazle Elahi, Dong-Hwan Kim, Paul Agastian, Seong-Yoon Oh, Deog Hwan Oh

Open access · goldAbstract readReview
In one paragraph

Review in Microorganisms, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 82 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Trial
  7. Article
  8. Review
  9. Article
  10. Article
  11. Non-invasive treatment ofFrontiers in microbiology · 2025
    Article
  12. Review
  13. Review
  14. Biomolecular Actions by Intestinal Endotoxemia in Metabolic Syndrome.International journal of molecular sciences · 2024
    Review
  15. Review
  16. Article
  17. Article
  18. MixedFrontiers in microbiology · 2024
    Article
  19. Article
  20. Weight Loss Supplements.Molecules (Basel, Switzerland) · 2023
    Review
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

9 authors at 1 institution in 1 country.

Kaliyan BarathikannanDepartment of Food Science and Biotechnology, College of Agriculture and Life Sciences, Kangwon National University, Chuncheon, Gangwon-do 24341, Korea. bkannanbio@gmail.com.ORCID 0000-0003-2316-5249
Ramachandran ChelliahDepartment of Food Science and Biotechnology, College of Agriculture and Life Sciences, Kangwon National University, Chuncheon, Gangwon-do 24341, Korea. ramachandran865@gmail.com.
Momna RubabDepartment of Food Science and Biotechnology, College of Agriculture and Life Sciences, Kangwon National University, Chuncheon, Gangwon-do 24341, Korea. rubab.momna@gmail.com.
Eric Banan-Mwine DaliriDepartment of Food Science and Biotechnology, College of Agriculture and Life Sciences, Kangwon National University, Chuncheon, Gangwon-do 24341, Korea. ericdaliri@yahoo.com.
Fazle ElahiDepartment of Food Science and Biotechnology, College of Agriculture and Life Sciences, Kangwon National University, Chuncheon, Gangwon-do 24341, Korea. elahidr@gmail.com.ORCID 0000-0001-8831-7632
Dong-Hwan KimKangwon Institute of Inclusive Technology, Kangwon National University, Chuncheon, Gangwon-do 24341, Korea. donghwan@kangwon.ac.kr.ORCID 0000-0003-4250-2335
Paul AgastianDepartment of Plant Biology and Biotechnology, Loyola College, Chennai 600-034, India. agastian@loyolacollege.edu.
Seong-Yoon OhThree & Four Co., Ltd., 992-15, Jusan-ri, Hojeo-myeon, Wonju-si 26460, Korea. 3n4world@hanmail.net.
Deog Hwan OhDepartment of Food Science and Biotechnology, College of Agriculture and Life Sciences, Kangwon National University, Chuncheon, Gangwon-do 24341, Korea. deoghwa@kangwon.ac.kr.
Kangwon National University · KR

Funding

Kangwon National University 2018-2019Korean Ministry of SMEs and start-ups (MSS), under the supervision of the Korea Institute for Advancement of Technology (KIAT), "Regional specialized industrial development program P00004989National Research Foundation of Korea (NRF) 2018007551
6 · The paper itself

Abstract

The growing prevalence of obesity has become an important problem worldwide as obesity has several health risks. Notably, factors such as excessive food consumption, a sedentary way of life, high sugar consumption, a fat-rich diet, and a certain genetic profile may lead to obesity. The present review brings together recent advances regarding the significance of interventions involving intestinal gut bacteria and host metabolic phenotypes. We assess important biological molecular mechanisms underlying the impact of gut microbiota on hosts including bile salt metabolism, short-chain fatty acids, and metabolic endotoxemia. Some previous studies have shown a link between microbiota and obesity, and associated disease reports have been documented. Thus, this review focuses on obesity and gut microbiota interactions and further develops the mechanism of the gut microbiome approach related to human obesity. Specifically, we highlight several alternative diet treatments including dietary changes and supplementation with probiotics. The future direction or comparative significance of fecal transplantation, synbiotics, and metabolomics as an approach to the modulation of intestinal microbes is also discussed.

Indexed as

dietgut microbiomemechanismobesityprobiotics

Identifiers

PMID31623075
PMCPMC6843309
OpenAlexW2981127177

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.