Evidence map›Paper›PMID 32935533›Full record

ArticleObesity (Silver Spring, Md.)2020

A Distinct Brain-Gut-Microbiome Profile Exists for Females with Obesity and Food Addiction.

Tien S Dong, Emeran A Mayer, Vadim Osadchiy, Candace Chang, William Katzka, Venu Lagishetty, Kimberly Gonzalez, Amir Kalani, Jean Stains, Jonathan P Jacobs and 2 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Obesity (Silver Spring, Md.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 2 pooled it
4.5field-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

51 citing papers in PubMed, 2 syntheses or guidelines pooled it, 95 citations in OpenAlex.

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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

12 authors at 2 institutions in 1 country.

Tien S DongVatche and Tamar Manoukian Division of Digestive Diseases, University of California, Los Angeles, Department of Medicine, Los Angeles, California, USA.ORCID 0000-0003-0105-8063
Emeran A MayerVatche and Tamar Manoukian Division of Digestive Diseases, University of California, Los Angeles, Department of Medicine, Los Angeles, California, USA.ORCID 0000-0003-3923-3349
Vadim OsadchiyUniversity of California, Los Angeles, California, USA.
Candace ChangUCLA Microbiome Center, University of California, Los Angeles, Department of Medicine, Los Angeles, California, USA.
William KatzkaUCLA Microbiome Center, University of California, Los Angeles, Department of Medicine, Los Angeles, California, USA.
Venu LagishettyVatche and Tamar Manoukian Division of Digestive Diseases, University of California, Los Angeles, Department of Medicine, Los Angeles, California, USA.ORCID 0000-0001-6500-8255
Kimberly GonzalezVatche and Tamar Manoukian Division of Digestive Diseases, University of California, Los Angeles, Department of Medicine, Los Angeles, California, USA.
Amir KalaniVatche and Tamar Manoukian Division of Digestive Diseases, University of California, Los Angeles, Department of Medicine, Los Angeles, California, USA.
Jean StainsVatche and Tamar Manoukian Division of Digestive Diseases, University of California, Los Angeles, Department of Medicine, Los Angeles, California, USA.
Jonathan P JacobsVatche and Tamar Manoukian Division of Digestive Diseases, University of California, Los Angeles, Department of Medicine, Los Angeles, California, USA.ORCID 0000-0003-4698-0254
Valter D LongoUSC Longevity Institute, University of Southern California, Los Angeles, CA, USA.
Arpana GuptaVatche and Tamar Manoukian Division of Digestive Diseases, University of California, Los Angeles, Department of Medicine, Los Angeles, California, USA.ORCID 0000-0002-1669-9624
University of California, Los Angeles · USUniversity of Southern California · US

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Pilot and Feasibility ProgramP30DK041301 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ROZENGURT, JUAN ENRIQUE · 1990 to 2019
$18.0M
Women's Health and Functional Visceral Disorders CenterP50DK064539 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MAYER, EMERAN A · 2002 to 2017
$17.5M
GASTROENTEROLOGYT32DK007180 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI JENSEN, DENNIS MICHAEL · 1986 to 2025
$10.0M
PERCEPTION AND MODULATION OF VISCERAL SENSATIONSR01DK048351 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MAYER, EMERAN A · 1996 to 2019
$8.2M
Social Isolation and Discrimination as Stressors Influencing Brain-Gut Microbiome Alterations among Filipino and Mexican AmericanR01MD015904 · NIMHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHURCH, ARPANA · 2021 to 2025
$4.1M
Role of Inflammatory Processes in Reward Network Alterations in ObesityK23DK106528 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHURCH, ARPANA · 2016 to 2020
$1.0M
Role of the Gut Microbiome in Reward Network Alterations in ObesityR03DK121025 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHURCH, ARPANA · 2020 to 2021
$234k
Modulation of the Intestinal Microbiome in Obesity by a High Protein DietIK2CX001717 · VA · VA GREATER LOS ANGELES HEALTHCARE SYSTEM · PI JACOBS, JONATHAN PATRICK · 2018 to 2023
–
CSRD VA IK2 CX001717NCATS NIH HHS UL1 TR001881NIDDK NIH HHS K23 DK106528NIDDK NIH HHS P30 DK041301NIDDK NIH HHS P50 DK064539NIDDK NIH HHS R01 DK048351NIDDK NIH HHS R03 DK121025NIDDK NIH HHS T32 DK007180NIMHD NIH HHS R01 MD015904
6 · The paper itself

Abstract

backgroundAlterations in brain-gut-microbiome interactions have been implicated as an important factor in obesity. This study aimed to explore the relationship between food addiction (FA) and the brain-gut-microbiome axis, using a multi-omics approach involving microbiome data, metabolomics, and brain imaging.

methodsBrain magnetic resonance imaging was obtained in 105 females. FA was defined by using the Yale Food Addiction Scale. Fecal samples were collected for sequencing and metabolomics. Statistical analysis was done by using multivariate analyses and machine learning algorithms.

resultsOf the females with obesity, 33.3% exhibited FA as compared with 5.3% and 0.0% of females with overweight and normal BMI, respectively (P = 0.0001). Based on a multilevel sparse partial least square discriminant analysis, there was a difference in the gut microbiome of females with FA versus those without. Differential abundance testing showed Bacteroides, Megamonas, Eubacterium, and Akkermansia were statistically associated with FA (q < 0.05). Metabolomics showed that indolepropionic acid was inversely correlated with FA. FA was also correlated with increased connectivity within the brain's reward network, specifically between the intraparietal sulcus, brain stem, and putamen.

conclusionsThis is the first study to examine FA along the brain-gut-microbiome axis and it supports the idea of targeting the brain-gut-microbiome axis for the treatment of FA and obesity.

Indexed as

AdolescentAdultBrainFemaleFood AddictionGastrointestinal MicrobiomeHumansMetabolomicsMiddle AgedObesityYoung Adult

Identifiers

PMID32935533
PMCPMC7494955
OpenAlexW3044870576

What OpenQuestion holds

Textmetadata
LicenceTDM
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.