Evidence map›Paper›PMID 37091587›Full record

ArticleBrain communications2023

Integrated multi-modal brain signatures predict sex-specific obesity status.

Ravi R Bhatt, Svetoslav Todorov, Riya Sood, Soumya Ravichandran, Lisa A Kilpatrick, Newton Peng, Cathy Liu, Priten P Vora, Neda Jahanshad, Arpana Gupta

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Brain communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

10 authors.

Ravi R BhattImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Marina del Rey, CA, 90089, USA.ORCID https://orcid.org/0000-0003-2498-8888
Svetoslav TodorovGoodman-Luskin Microbiome Center, G. Oppenheimer Center for Neurobiology of Stress and Resilience, Vatche and Tamar Manoukian Division of Digestive Diseases, Ingestive Behavior and Obesity Program, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA.
Riya SoodGoodman-Luskin Microbiome Center, G. Oppenheimer Center for Neurobiology of Stress and Resilience, Vatche and Tamar Manoukian Division of Digestive Diseases, Ingestive Behavior and Obesity Program, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA.
Soumya RavichandranGoodman-Luskin Microbiome Center, G. Oppenheimer Center for Neurobiology of Stress and Resilience, Vatche and Tamar Manoukian Division of Digestive Diseases, Ingestive Behavior and Obesity Program, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA.
Lisa A KilpatrickGoodman-Luskin Microbiome Center, G. Oppenheimer Center for Neurobiology of Stress and Resilience, Vatche and Tamar Manoukian Division of Digestive Diseases, Ingestive Behavior and Obesity Program, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA.
Newton PengGoodman-Luskin Microbiome Center, G. Oppenheimer Center for Neurobiology of Stress and Resilience, Vatche and Tamar Manoukian Division of Digestive Diseases, Ingestive Behavior and Obesity Program, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA.
Cathy LiuGoodman-Luskin Microbiome Center, G. Oppenheimer Center for Neurobiology of Stress and Resilience, Vatche and Tamar Manoukian Division of Digestive Diseases, Ingestive Behavior and Obesity Program, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA.
Priten P VoraGoodman-Luskin Microbiome Center, G. Oppenheimer Center for Neurobiology of Stress and Resilience, Vatche and Tamar Manoukian Division of Digestive Diseases, Ingestive Behavior and Obesity Program, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA.
Neda JahanshadImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Marina del Rey, CA, 90089, USA.
Arpana GuptaGoodman-Luskin Microbiome Center, G. Oppenheimer Center for Neurobiology of Stress and Resilience, Vatche and Tamar Manoukian Division of Digestive Diseases, Ingestive Behavior and Obesity Program, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA.

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
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
NCATS NIH HHS UL1 TR001881NIDDK NIH HHS K23 DK106528NIDDK NIH HHS P30 DK041301NIDDK NIH HHS R03 DK121025NIMHD NIH HHS R01 MD015904
6 · The paper itself

Abstract

Investigating sex as a biological variable is key to determine obesity manifestation and treatment response. Individual neuroimaging modalities have uncovered mechanisms related to obesity and altered ingestive behaviours. However, few, if any, studies have integrated data from multi-modal brain imaging to predict sex-specific brain signatures related to obesity. We used a data-driven approach to investigate how multi-modal MRI and clinical features predict a sex-specific signature of participants with high body mass index (overweight/obese) compared to non-obese body mass index in a sex-specific manner. A total of 78 high body mass index (55 female) and 105 non-obese body mass index (63 female) participants were enrolled in a cross-sectional study. All participants classified as high body mass index had a body mass index greater than 25 kg/m

Indexed as

data integrationmachine learningmulti-modal brain imagingobesitysex differences

Identifiers

PMID37091587
PMCPMC10116578

What OpenQuestion holds

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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.