Evidence map›Paper›PMID 36333752›Full record

ArticleMicrobiome2022

Bifidobacterial carbohydrate/nucleoside metabolism enhances oxidative phosphorylation in white adipose tissue to protect against diet-induced obesity.

Gihyeon Kim, Youngmin Yoon, Jin Ho Park, Jae Won Park, Myung-Guin Noh, Hyun Kim, Changho Park, Hyuktae Kwon, Jeong-Hyeon Park, Yena Kim and 18 more

Open access · goldAbstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 4% 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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
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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

28 authors at 10 institutions in 3 countries.

Gihyeon Kim *Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, Korea.
Youngmin Yoon *Division of Nephrology, Department of Medicine, Chosun University Hospital, Chosun University School of Medicine, Gwangju, Korea.
Jin Ho Park *Department of Family Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Jae Won Park *Genome and Company, Pangyo-ro 255, Bundang-gu, Seongnam, Korea.
Myung-Guin NohDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, Korea.
Hyun KimDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, Korea.
Changho ParkGenome and Company, Pangyo-ro 255, Bundang-gu, Seongnam, Korea.
Hyuktae KwonDepartment of Family Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Jeong-Hyeon ParkGenome and Company, Pangyo-ro 255, Bundang-gu, Seongnam, Korea.
Yena KimGenome and Company, Pangyo-ro 255, Bundang-gu, Seongnam, Korea.
Jinyoung SohnGenome and Company, Pangyo-ro 255, Bundang-gu, Seongnam, Korea.
Shinyoung ParkGenome and Company, Pangyo-ro 255, Bundang-gu, Seongnam, Korea.
Hyeonhui KimGraduate school of Medical Science, Brain Korea 21 Project, Severance Biomedical Science Institute, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
Sun-Kyoung ImGraduate school of Medical Science, Brain Korea 21 Project, Severance Biomedical Science Institute, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
Yeongmin KimDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, Korea.
Ha Yung ChungKorea Basic Science Institute, Seoul Center, Seoul, South Korea.
Myung Hee NamKorea Basic Science Institute, Seoul Center, Seoul, South Korea.
Jee Young KwonThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut, 06032, USA.
Il Yong KimLaboratory of Developmental Biology and Genomics, BK21 Plus Program for Advanced Veterinary Science and Research Institute for Veterinary Science, College of Veterinary Medicine, Seoul National University, Seoul, Korea.
Yong Jae KimKorea Mouse Phenotyping Center, Seoul National University, Seoul, Korea.
Ji Hyeon BaekKorea Mouse Phenotyping Center, Seoul National University, Seoul, Korea.
Hak Su KimKorea Mouse Phenotyping Center, Seoul National University, Seoul, Korea.
George M WeinstockThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut, 06032, USA.
Belong Cho *Department of Family Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Charles Lee *The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut, 06032, USA.
Sungsoon FangGraduate school of Medical Science, Brain Korea 21 Project, Severance Biomedical Science Institute, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea. sfang@yuhs.ac.
Hansoo ParkDepartment of Biomedical Science and Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, Korea. hspark27@gist.ac.kr.
Je Kyung SeongLaboratory of Developmental Biology and Genomics, BK21 Plus Program for Advanced Veterinary Science and Research Institute for Veterinary Science, College of Veterinary Medicine, Seoul National University, Seoul, Korea. snumouse@snu.ac.kr.
Genome and Company (South Korea) · KRGwangju Institute of Science and Technology · KRSeoul National University · KRSeoul National University Hospital · KRGangnam Severance Hospital · KRJackson Laboratory · USKorea Basic Science Institute · KRChosun University Hospital · KREwha Womans University · KRYonsei University · KR

Funding

PROVIDE RABBITS, RATS MICE, HAMSTERS GERBILS, GUINEA PIGS27307C0012 · NIEHS · PI BOLEN, WAYNE · 2007 to 2007
$1.0M
NIEHS NIH HHS 27307C0012
6 · The paper itself

Abstract

backgroundComparisons of the gut microbiome of lean and obese humans have revealed that obesity is associated with the gut microbiome plus changes in numerous environmental factors, including high-fat diet (HFD). Here, we report that two species of Bifidobacterium are crucial to controlling metabolic parameters in the Korean population.

resultsBased on gut microbial analysis from 99 Korean individuals, we observed the abundance of Bifidobacterium longum and Bifidobacterium bifidum was markedly reduced in individuals with increased visceral adipose tissue (VAT), body mass index (BMI), blood triglyceride (TG), and fatty liver. Bacterial transcriptomic analysis revealed that carbohydrate/nucleoside metabolic processes of Bifidobacterium longum and Bifidobacterium bifidum were associated with protecting against diet-induced obesity. Oral treatment of specific commercial Bifidobacterium longum and Bifidobacterium bifidum enhanced bile acid signaling contributing to potentiate oxidative phosphorylation (OXPHOS) in adipose tissues, leading to reduction of body weight gain and improvement in hepatic steatosis and glucose homeostasis. Bifidobacterium longum or Bifidobacterium bifidum manipulated intestinal sterol biosynthetic processes to protect against diet-induced obesity in germ-free mice.

conclusionsOur findings support the notion that treatment of carbohydrate/nucleoside metabolic processes-enriched Bifidobacterium longum and Bifidobacterium bifidum would be a novel therapeutic strategy for reprograming the host metabolic homeostasis to protect against metabolic syndromes, including diet-induced obesity. Video Abstract.

Indexed as

BifidobacteriumBifidobacterium longumAdipose Tissue, WhiteAnimalsDiet, High-FatHumansMiceNucleosidesObesityOxidative PhosphorylationNucleosides

Identifiers

PMID36333752
PMCPMC9635107
OpenAlexW4308203309

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.