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Ravichandran S, Sood R, Das I, Dong T, Figueroa JD, Yang J, Finger N, Vaughan A, Vora P, Selvaraj K, Labus JS, Gupta A. Early life adversity impacts alterations in brain structure and food addiction in individuals with high BMI. Sci Rep 2024; 14:13141. [PMID: 38849441 PMCID: PMC11161480 DOI: 10.1038/s41598-024-63414-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Accepted: 05/28/2024] [Indexed: 06/09/2024] Open
Abstract
Obesity and food addiction are associated with distinct brain signatures related to reward processing, and early life adversity (ELA) also increases alterations in these same reward regions. However, the neural mechanisms underlying the effect of early life adversity on food addiction are unknown. Therefore, the aim of this study was to examine the interactions between ELA, food addiction, and brain morphometry in individuals with obesity. 114 participants with high body mass index (BMI) underwent structural MRIs, and completed several questionnaires (e.g., Yale Food Addiction Scale (YFAS), Brief Resilience Scale (BRS), Early Traumatic Inventory (ETI)). Freesurfer 6 was applied to generate the morphometry of brain regions. A multivariate pattern analysis was used to derive brain morphometry patterns associated with food addiction. General linear modeling and mediation analyses were conducted to examine the effects of ELA and resilience on food addiction in individuals with obesity. Statistical significance was determined at a level of p < 0.05. High levels of ELA showed a strong association between reward control brain signatures and food addiction (p = 0.03). Resilience positively mediated the effect of ELA on food addiction (B = 0.02, p = 0.038). Our findings suggest that food addiction is associated with brain signatures in motivation and reward processing regions indicative of dopaminergic dysregulation and inhibition of cognitive control regions. These mechanistic variabilities along with early life adversity suggest increased vulnerability to develop food addiction and obesity in adulthood, which can buffer by the neuroprotective effects of resilience, highlighting the value of incorporating cognitive appraisal into obesity therapeutic regimens.
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Affiliation(s)
- Soumya Ravichandran
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
- UC San Diego School of Medicine, University of California, San Diego, USA
| | - Riya Sood
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
| | - Isha Das
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
| | - Tien Dong
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, Los Angeles, USA
- Goodman Luskin Microbiome Center, University of California, Los Angeles, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
- David Geffen School of Medicine, University of California, Los Angeles, USA
| | - Johnny D Figueroa
- Center for Health Disparities and Molecular Medicine, Department of Basic Sciences, Loma Linda University School of Medicine, Loma Linda, USA
| | - Jennifer Yang
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, Los Angeles, USA
- Goodman Luskin Microbiome Center, University of California, Los Angeles, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
| | - Nicholas Finger
- David Geffen School of Medicine, University of California, Los Angeles, USA
| | - Allison Vaughan
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, Los Angeles, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
| | - Priten Vora
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, Los Angeles, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
| | - Katie Selvaraj
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
| | - Jennifer S Labus
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, Los Angeles, USA
- Goodman Luskin Microbiome Center, University of California, Los Angeles, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
| | - Arpana Gupta
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, Los Angeles, USA.
- Goodman Luskin Microbiome Center, University of California, Los Angeles, USA.
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA.
- David Geffen School of Medicine, University of California, Los Angeles, USA.
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Semeia L, Veit R, Zhao S, Luo S, Angelo B, Birkenfeld AL, Preissl H, Xiang AH, Kullmann S, Page KA. Influence of insulin sensitivity on food cue evoked functional brain connectivity in children. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.12.579924. [PMID: 38405878 PMCID: PMC10888780 DOI: 10.1101/2024.02.12.579924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Objective Insulin resistance during childhood is a risk factor for developing type 2 diabetes and other health problems later in life. Studies in adults have shown that insulin resistance affects regional and network activity in the brain which are vital for behavior, e.g. ingestion and metabolic control. To date, no study has investigated whether brain responses to food cues in children are associated with peripheral insulin sensitivity. Methods We included 53 children (36 girls) between the age of 7-11 years, who underwent an oral Glucose Tolerance Test (oGTT) to estimate peripheral insulin sensitivity (ISI). Brain responses were measured using functional magnetic resonance imaging (fMRI) before and after glucose ingestion. We compared food-cue task-based activity and functional connectivity (FC) between children with low and high ISI, adjusted for age and BMIz. Results Independent of prandial state (i.e., glucose ingestion), children with lower ISI showed higher FC between the anterior insula and caudate and lower FC between the posterior insula and mid temporal cortex than children with higher ISI. Sex differences were found based on prandial state and peripheral insulin sensitivity in the insular FC. No differences were found on whole-brain food-cue reactivity. Conclusions Children with low peripheral insulin sensitivity showed differences in food cue evoked response particularly in insula functional connectivity. These differences might influence eating behavior and future risk of developing diabetes.
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Affiliation(s)
- Lorenzo Semeia
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, German Center for Diabetes Research (DZD), Tübingen, Germany
- Graduate Training Centre of Neuroscience, International Max Planck Research School, Tübingen, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Ralf Veit
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, German Center for Diabetes Research (DZD), Tübingen, Germany
| | - Sixiu Zhao
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, German Center for Diabetes Research (DZD), Tübingen, Germany
| | - Shan Luo
- Division of Endocrinology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Diabetes and Obesity Research Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Brendan Angelo
- Division of Endocrinology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Diabetes and Obesity Research Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Andreas L Birkenfeld
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, German Center for Diabetes Research (DZD), Tübingen, Germany
- Department of Internal Medicine, Division of Endocrinology, Diabetology and Nephrology, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Hubert Preissl
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, German Center for Diabetes Research (DZD), Tübingen, Germany
- Department of Internal Medicine, Division of Endocrinology, Diabetology and Nephrology, Eberhard Karls University Tübingen, Tübingen, Germany
- Department of Pharmacy and Biochemistry, University of Tübingen, Germany
| | - Anny H Xiang
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Stephanie Kullmann
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, German Center for Diabetes Research (DZD), Tübingen, Germany
- Department of Internal Medicine, Division of Endocrinology, Diabetology and Nephrology, Eberhard Karls University Tübingen, Tübingen, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Kathleen A Page
- Division of Endocrinology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Diabetes and Obesity Research Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, USA
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Ma J, McGlade EC, Huber RS, Lyoo IK, Renshaw PF, Yurgelun-Todd DA. Overweight/Obesity-related microstructural alterations of the fimbria-fornix in the ABCD study: The role of aerobic physical activity. PLoS One 2023; 18:e0287682. [PMID: 37437033 PMCID: PMC10337868 DOI: 10.1371/journal.pone.0287682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 06/08/2023] [Indexed: 07/14/2023] Open
Abstract
Childhood overweight/obesity has been associated with negative consequences related to brain function and may involve alterations in white matter pathways important for cognitive and emotional processing. Aerobic physical activity is a promising lifestyle factor that could restore white matter alterations. However, little is known about either regional white matter alterations in children with overweight/obesity or the effects of aerobic physical activity targeting the obesity-related brain alterations in children. Using a large-scale cross-sectional population-based dataset of US children aged 9 to 10 years (n = 8019), this study explored the associations between overweight/obesity and microstructure of limbic white matter tracts, and examined whether aerobic physical activity may reduce the overweight/obesity-related white matter alterations in children. The primary outcome measure was restriction spectrum imaging (RSI)-derived white matter microstructural integrity measures. The number of days in a week that children engaged in aerobic physical activity for at least 60 minutes per day was assessed. We found that females with overweight/obesity had lower measures of integrity of the fimbria-fornix, a major limbic-hippocampal white matter tract, than their lean peers, while this difference was not significant in males. We also found a positive relationship between the number of days of aerobic physical activity completed in a week and integrity measures of the fimbria-fornix in females with overweight/obesity. Our results provide cross-sectional evidence of sex-specific microstructural alteration in the fimbria-fornix in children with overweight/obesity and suggest that aerobic physical activity may play a role in reducing this alteration. Future work should examine the causal direction of the relationship between childhood overweight/obesity and brain alterations and evaluate potential interventions to validate the effects of aerobic physical activity on this relationship.
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Affiliation(s)
- Jiyoung Ma
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, Utah, United States of America
- Diagnostic Neuroimaging Laboratory, Huntsman Mental Health Institute, University of Utah School of Medicine, Salt Lake City, Utah, United States of America
| | - Erin C. McGlade
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, Utah, United States of America
- Diagnostic Neuroimaging Laboratory, Huntsman Mental Health Institute, University of Utah School of Medicine, Salt Lake City, Utah, United States of America
- George E. Wahlen Department of Veterans Affairs Medical Center, VA VISN 19 Mental Illness Research, Education and Clinical Center, Salt Lake City, Utah, United States of America
| | - Rebekah S. Huber
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, Utah, United States of America
- Diagnostic Neuroimaging Laboratory, Huntsman Mental Health Institute, University of Utah School of Medicine, Salt Lake City, Utah, United States of America
| | - In Kyoon Lyoo
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, Utah, United States of America
- Diagnostic Neuroimaging Laboratory, Huntsman Mental Health Institute, University of Utah School of Medicine, Salt Lake City, Utah, United States of America
- Ewha Brain Institute, Ewha W. University, Seoul, South Korea
| | - Perry F. Renshaw
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, Utah, United States of America
- Diagnostic Neuroimaging Laboratory, Huntsman Mental Health Institute, University of Utah School of Medicine, Salt Lake City, Utah, United States of America
- George E. Wahlen Department of Veterans Affairs Medical Center, VA VISN 19 Mental Illness Research, Education and Clinical Center, Salt Lake City, Utah, United States of America
| | - Deborah A. Yurgelun-Todd
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, Utah, United States of America
- Diagnostic Neuroimaging Laboratory, Huntsman Mental Health Institute, University of Utah School of Medicine, Salt Lake City, Utah, United States of America
- George E. Wahlen Department of Veterans Affairs Medical Center, VA VISN 19 Mental Illness Research, Education and Clinical Center, Salt Lake City, Utah, United States of America
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Vosberg DE, Pausova Z, Paus T. The genetics of a "femaleness/maleness" score in cardiometabolic traits in the UK biobank. Sci Rep 2023; 13:9109. [PMID: 37277458 DOI: 10.1038/s41598-023-36132-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 05/30/2023] [Indexed: 06/07/2023] Open
Abstract
We recently devised continuous "sex-scores" that sum up multiple quantitative traits, weighted by their respective sex-difference effect sizes, as an approach to estimating polyphenotypic "maleness/femaleness" within each binary sex. To identify the genetic architecture underlying these sex-scores, we conducted sex-specific genome-wide association studies (GWASs) in the UK Biobank cohort (females: n = 161,906; males: n = 141,980). As a control, we also conducted GWASs of sex-specific "sum-scores", simply aggregating the same traits, without weighting by sex differences. Among GWAS-identified genes, while sum-score genes were enriched for genes differentially expressed in the liver in both sexes, sex-score genes were enriched for genes differentially expressed in the cervix and across brain tissues, particularly for females. We then considered single nucleotide polymorphisms with significantly different effects (sdSNPs) between the sexes for sex-scores and sum-scores, mapping to male-dominant and female-dominant genes. Here, we identified brain-related enrichment for sex-scores, especially for male-dominant genes; these findings were present but weaker for sum-scores. Genetic correlation analyses of sex-biased diseases indicated that both sex-scores and sum-scores were associated with cardiometabolic, immune, and psychiatric disorders.
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Affiliation(s)
- Daniel E Vosberg
- Centre Hospitalier Universitaire Sainte-Justine, University of Montreal, Montreal, QC, Canada
- Department of Neuroscience, Faculty of Medicine, University of Montreal, Montreal, QC, Canada
- Research Institute of the Hospital for Sick Children, Toronto, ON, Canada
| | - Zdenka Pausova
- Research Institute of the Hospital for Sick Children, Toronto, ON, Canada
- Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON, Canada
| | - Tomáš Paus
- Centre Hospitalier Universitaire Sainte-Justine, University of Montreal, Montreal, QC, Canada.
- Department of Neuroscience, Faculty of Medicine, University of Montreal, Montreal, QC, Canada.
- Departments of Psychology and Psychiatry, University of Toronto, Toronto, ON, Canada.
- ECOGENE-21, Chicoutimi, QC, Canada.
- Department of Psychiatry and Addictology, Faculty of Medicine, University of Montreal, Montreal, QC, Canada.
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Kilpatrick LA, An HM, Pawar S, Sood R, Gupta A. Neuroimaging Investigations of Obesity: a Review of the Treatment of Sex from 2010. Curr Obes Rep 2023; 12:163-174. [PMID: 36933153 PMCID: PMC10250271 DOI: 10.1007/s13679-023-00498-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/15/2023] [Indexed: 03/19/2023]
Abstract
PURPOSE OF REVIEW To summarize the results of adult obesity neuroimaging studies (structural, resting-state, task-based, diffusion tensor imaging) published from 2010, with a focus on the treatment of sex as an important biological variable in the analysis, and identify gaps in sex difference research. RECENT FINDINGS Neuroimaging studies have shown obesity-related changes in brain structure, function, and connectivity. However, relevant factors such as sex are often not considered. We conducted a systematic review and keyword co-occurrence analysis. Literature searches identified 6281 articles, of which 199 met inclusion criteria. Among these, only 26 (13%) considered sex as an important variable in the analysis, directly comparing the sexes (n = 10; 5%) or providing single-sex/disaggregated data (n = 16, 8%); the remaining studies controlled for sex (n = 120, 60%) or did not consider sex in the analysis (n = 53, 27%). Synthesizing sex-based results, obesity-related parameters (e.g., body mass index, waist circumference, obese status) may be generally associated with more robust morphological alterations in men and more robust structural connectivity alterations in women. Additionally, women with obesity generally expressed increased reactivity in affect-related regions, while men with obesity generally expressed increased reactivity in motor-related regions; this was especially true under a fed state. The keyword co-occurrence analysis indicated that sex difference research was especially lacking in intervention studies. Thus, although sex differences in the brain associated with obesity are known to exist, a large proportion of the literature informing the research and treatment strategies of today has not specifically examined sex effects, which is needed to optimize treatment.
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Affiliation(s)
- Lisa A Kilpatrick
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, Los Angeles, USA
- David Geffen School of Medicine, Goodman-Luskin Microbiome Center, University of California, Los Angeles, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
| | - Hyeon Min An
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, Los Angeles, USA
- David Geffen School of Medicine, Goodman-Luskin Microbiome Center, University of California, Los Angeles, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
| | - Shrey Pawar
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
| | - Riya Sood
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
| | - Arpana Gupta
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, Los Angeles, USA.
- David Geffen School of Medicine, Goodman-Luskin Microbiome Center, University of California, Los Angeles, USA.
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA.
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Osadchiy V, Bal R, Mayer EA, Kunapuli R, Dong T, Vora P, Petrasek D, Liu C, Stains J, Gupta A. Machine learning model to predict obesity using gut metabolite and brain microstructure data. Sci Rep 2023; 13:5488. [PMID: 37016129 PMCID: PMC10073225 DOI: 10.1038/s41598-023-32713-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Accepted: 03/31/2023] [Indexed: 04/06/2023] Open
Abstract
A growing body of preclinical and clinical literature suggests that brain-gut-microbiota interactions may contribute to obesity pathogenesis. In this study, we use a machine learning approach to leverage the enormous amount of microstructural neuroimaging and fecal metabolomic data to better understand key drivers of the obese compared to overweight phenotype. Our findings reveal that although gut-derived factors play a role in this distinction, it is primarily brain-directed changes that differentiate obese from overweight individuals. Of the key gut metabolites that emerged from our model, many are likely at least in part derived or influenced by the gut-microbiota, including some amino-acid derivatives. Remarkably, key regions outside of the central nervous system extended reward network emerged as important differentiators, suggesting a role for previously unexplored neural pathways in the pathogenesis of obesity.
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Affiliation(s)
- Vadim Osadchiy
- Vatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, USA
- UCLA Microbiome Center, Los Angeles, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, Los Angeles, USA
- Department of Urology, David Geffen School of Medicine, Los Angeles, USA
| | - Roshan Bal
- Vatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, USA
| | - Emeran A Mayer
- Vatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, USA
- UCLA Microbiome Center, Los Angeles, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, Los Angeles, USA
| | - Rama Kunapuli
- Vatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, USA
| | - Tien Dong
- Vatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, USA
- UCLA Microbiome Center, Los Angeles, USA
| | - Priten Vora
- Vatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, Los Angeles, USA
- Division of Gastroenterology, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA
| | - Danny Petrasek
- Department of Mathematics, California Institute of Technology, Pasadena, USA
| | - Cathy Liu
- Vatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, Los Angeles, USA
| | - Jean Stains
- Vatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, Los Angeles, USA
- Division of Gastroenterology, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA
| | - Arpana Gupta
- Vatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, USA.
- UCLA Microbiome Center, Los Angeles, USA.
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, Los Angeles, USA.
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine at UCLA, CHS 42-210 MC737818, 10833 Le Conte Avenue, Los Angeles, CA, USA.
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7
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Brain functional and structural magnetic resonance imaging of obesity and weight loss interventions. Mol Psychiatry 2023; 28:1466-1479. [PMID: 36918706 DOI: 10.1038/s41380-023-02025-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 02/26/2023] [Accepted: 02/28/2023] [Indexed: 03/16/2023]
Abstract
Obesity has tripled over the past 40 years to become a major public health issue, as it is linked with increased mortality and elevated risk for various physical and neuropsychiatric illnesses. Accumulating evidence from neuroimaging studies suggests that obesity negatively affects brain function and structure, especially within fronto-mesolimbic circuitry. Obese individuals show abnormal neural responses to food cues, taste and smell, resting-state activity and functional connectivity, and cognitive tasks including decision-making, inhibitory-control, learning/memory, and attention. In addition, obesity is associated with altered cortical morphometry, a lowered gray/white matter volume, and impaired white matter integrity. Various interventions and treatments including bariatric surgery, the most effective treatment for obesity in clinical practice, as well as dietary, exercise, pharmacological, and neuromodulation interventions such as transcranial direct current stimulation, transcranial magnetic stimulation and neurofeedback have been employed and achieved promising outcomes. These interventions and treatments appear to normalize hyper- and hypoactivations of brain regions involved with reward processing, food-intake control, and cognitive function, and also promote recovery of brain structural abnormalities. This paper provides a comprehensive literature review of the recent neuroimaging advances on the underlying neural mechanisms of both obesity and interventions, in the hope of guiding development of novel and effective treatments.
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Dong TS, Guan M, Mayer EA, Stains J, Liu C, Vora P, Jacobs JP, Lagishetty V, Chang L, Barry RL, Gupta A. Obesity is associated with a distinct brain-gut microbiome signature that connects Prevotella and Bacteroides to the brain's reward center. Gut Microbes 2022; 14:2051999. [PMID: 35311453 PMCID: PMC8942409 DOI: 10.1080/19490976.2022.2051999] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
The prevalence of obesity has risen to its highest values over the last two decades. While many studies have either shown brain or microbiome connections to obesity, few have attempted to analyze the brain-gut-microbiome relationship in a large cohort adjusting for cofounders. Therefore, we aim to explore the connection of the brain-gut-microbiome axis to obesity controlling for such cofounders as sex, race, and diet. Whole brain resting state functional MRI was acquired, and connectivity and brain network properties were calculated. Fecal samples were obtained from 287 obese and non-obese participants (males n = 99, females n = 198) for 16s rRNA profiling and fecal metabolites, along with a validated dietary questionnaire. Obesity was associated with alterations in the brain's reward network (nucleus accumbens, brainstem). Microbial diversity (p = .03) and composition (p = .03) differed by obesity independent of sex, race, or diet. Obesity was associated with an increase in Prevotella/Bacteroides (P/B) ratio and a decrease in fecal tryptophan (p = .02). P/B ratio was positively correlated to nucleus accumbens centrality (p = .03) and negatively correlated to fecal tryptophan (p = .004). Being Hispanic, eating a standard American diet, having a high Prevotella/Bacteroides ratio, and a high nucleus accumbens centrality were all independent risk factors for obesity. There are obesity-related signatures in the BGM-axis independent of sex, race, and diet. Race, diet, P/B ratio and increased nucleus accumbens centrality were independent risk factors for obesity. P/B ratio was inversely related to fecal tryptophan, a metabolite related to serotonin biosynthesis, and positively related to nucleus accumbens centrality, a region central to the brain's reward center. These findings may expand the field of therapies for obesity through novel pathways directed at the BGM axis.
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Affiliation(s)
- Tien S. Dong
- Department of Medicine, Vatche and Tamar Manoukian Division of Digestive DiseasesLos Angeles, USA,Department of Medicine, David Geffen School of MedicineLos Angeles, USA,Department of Medicine, UCLA Microbiome Center, David Geffen School of Medicine at UCLALos Angeles, USA,Department of Medicine, G. Oppenheimer Center for Neurobiology of Stress and ResilienceLos Angeles, USA,Department of Medicine, University of California, Los Angeles, USA,Division of Gastroenterology, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA,CONTACT Tien S. Dong Vatche and Tamar Manoukian Division of Digestive Diseases , David Geffen School of Medicine at UCLA; Microbiome Center, David Geffen School of Medicine at UCLA, 10833 Le Conte Avenue Center for Health Sciences 43-133; MC:737818, Los AngelesCA90095
| | - Michelle Guan
- Department of Medicine, David Geffen School of MedicineLos Angeles, USA
| | - Emeran A. Mayer
- Department of Medicine, Vatche and Tamar Manoukian Division of Digestive DiseasesLos Angeles, USA,Department of Medicine, David Geffen School of MedicineLos Angeles, USA,Department of Medicine, UCLA Microbiome Center, David Geffen School of Medicine at UCLALos Angeles, USA,Department of Medicine, G. Oppenheimer Center for Neurobiology of Stress and ResilienceLos Angeles, USA,Department of Medicine, University of California, Los Angeles, USA
| | - Jean Stains
- Department of Medicine, Vatche and Tamar Manoukian Division of Digestive DiseasesLos Angeles, USA,Department of Medicine, David Geffen School of MedicineLos Angeles, USA,Department of Medicine, G. Oppenheimer Center for Neurobiology of Stress and ResilienceLos Angeles, USA,Department of Medicine, University of California, Los Angeles, USA
| | - Cathy Liu
- Department of Medicine, Vatche and Tamar Manoukian Division of Digestive DiseasesLos Angeles, USA,Department of Medicine, David Geffen School of MedicineLos Angeles, USA,Department of Medicine, G. Oppenheimer Center for Neurobiology of Stress and ResilienceLos Angeles, USA,Department of Medicine, University of California, Los Angeles, USA
| | - Priten Vora
- Department of Medicine, Vatche and Tamar Manoukian Division of Digestive DiseasesLos Angeles, USA,Department of Medicine, David Geffen School of MedicineLos Angeles, USA,Department of Medicine, G. Oppenheimer Center for Neurobiology of Stress and ResilienceLos Angeles, USA,Department of Medicine, University of California, Los Angeles, USA
| | - Jonathan P. Jacobs
- Department of Medicine, Vatche and Tamar Manoukian Division of Digestive DiseasesLos Angeles, USA,Department of Medicine, UCLA Microbiome Center, David Geffen School of Medicine at UCLALos Angeles, USA,Department of Medicine, University of California, Los Angeles, USA,Division of Gastroenterology, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA
| | - Venu Lagishetty
- Department of Medicine, UCLA Microbiome Center, David Geffen School of Medicine at UCLALos Angeles, USA,Department of Medicine, University of California, Los Angeles, USA
| | - Lin Chang
- Department of Medicine, Vatche and Tamar Manoukian Division of Digestive DiseasesLos Angeles, USA,Department of Medicine, David Geffen School of MedicineLos Angeles, USA,Department of Medicine, G. Oppenheimer Center for Neurobiology of Stress and ResilienceLos Angeles, USA,Department of Medicine, University of California, Los Angeles, USA
| | - Robert L. Barry
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA,Department of Radiology, Harvard Medical School, Boston, MA, USA,Harvard-Massachusetts Institute of Technology Health Sciences & Technology, Cambridge, MA, USA
| | - Arpana Gupta
- Department of Medicine, Vatche and Tamar Manoukian Division of Digestive DiseasesLos Angeles, USA,Department of Medicine, David Geffen School of MedicineLos Angeles, USA,Department of Medicine, UCLA Microbiome Center, David Geffen School of Medicine at UCLALos Angeles, USA,Department of Medicine, G. Oppenheimer Center for Neurobiology of Stress and ResilienceLos Angeles, USA,Department of Medicine, University of California, Los Angeles, USA
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9
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Brain Expression, Physiological Regulation and Role in Motivation and Associative Learning of Peroxisome Proliferator-activated Receptor γ. Neuroscience 2021; 479:91-106. [PMID: 34762981 DOI: 10.1016/j.neuroscience.2021.10.029] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Revised: 10/27/2021] [Accepted: 10/28/2021] [Indexed: 12/25/2022]
Abstract
Like other members of the superfamily of nuclear receptors, the peroxisome proliferator-activated receptor γ (PPARγ), is a ligand-activated transcription factor known for its insulin-sensitizing actions in the periphery. Despite only sparse evidence for PPARγ in the CNS, many reports suggest direct PPARγ-mediated actions in the brain. This study aimed to (i) map PPARγ expression in rodent brain areas, involved in the regulation of cognitive, motivational, and emotional functions, (ii) examine the regulation of central PPARγ by physiological variables (age, sex, obesity); (iii) chemotypically identify PPARγ-expressing cells in the frontal cortex (FC) and hippocampus (HP); (iv) study whether activation of PPARγ by pioglitazone (Pio) in FC and HP cells can induce target gene expression; and (v) demonstrate the impact of activated PPARγ on learning behavior and motivation. Immunoreactive PPARγ was detectable in specific sub-nuclei/subfields of the FC, HP, nucleus accumbens, amygdala, hypothalamus, thalamus, and granular layers of the cerebellum. PPARγ protein levels were upregulated during aging and in high fat diet-induced obesity. PPARγ mRNA expression was upregulated in the amygdala of females (but not males) that were made obese. Neural precursor cells, mature neurons, and astrocytes in primary FC and HP cultures were shown to express PPARγ. Pioglitazone dose-dependently upregulated PPARγ target genes in manner that was specific to the origin (FC or HP) of the cultures. Lastly, administration of Pio impaired motivation and associative learning. Collectively, we provide evidence for the presence of regulatable PPARγ in the brain and demonstrate their participation the regulation of key behaviors.
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10
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Bhargava A, Arnold AP, Bangasser DA, Denton KM, Gupta A, Hilliard Krause LM, Mayer EA, McCarthy M, Miller WL, Raznahan A, Verma R. Considering Sex as a Biological Variable in Basic and Clinical Studies: An Endocrine Society Scientific Statement. Endocr Rev 2021; 42:219-258. [PMID: 33704446 PMCID: PMC8348944 DOI: 10.1210/endrev/bnaa034] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Indexed: 02/08/2023]
Abstract
In May 2014, the National Institutes of Health (NIH) stated its intent to "require applicants to consider sex as a biological variable (SABV) in the design and analysis of NIH-funded research involving animals and cells." Since then, proposed research plans that include animals routinely state that both sexes/genders will be used; however, in many instances, researchers and reviewers are at a loss about the issue of sex differences. Moreover, the terms sex and gender are used interchangeably by many researchers, further complicating the issue. In addition, the sex or gender of the researcher might influence study outcomes, especially those concerning behavioral studies, in both animals and humans. The act of observation may change the outcome (the "observer effect") and any experimental manipulation, no matter how well-controlled, is subject to it. This is nowhere more applicable than in physiology and behavior. The sex of established cultured cell lines is another issue, in addition to aneuploidy; chromosomal numbers can change as cells are passaged. Additionally, culture medium contains steroids, growth hormone, and insulin that might influence expression of various genes. These issues often are not taken into account, determined, or even considered. Issues pertaining to the "sex" of cultured cells are beyond the scope of this Statement. However, we will discuss the factors that influence sex and gender in both basic research (that using animal models) and clinical research (that involving human subjects), as well as in some areas of science where sex differences are routinely studied. Sex differences in baseline physiology and associated mechanisms form the foundation for understanding sex differences in diseases pathology, treatments, and outcomes. The purpose of this Statement is to highlight lessons learned, caveats, and what to consider when evaluating data pertaining to sex differences, using 3 areas of research as examples; it is not intended to serve as a guideline for research design.
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Affiliation(s)
- Aditi Bhargava
- Center for Reproductive Sciences, San Francisco, CA, USA
- Department of Obstetrics and Gynecology, University of California, San Francisco, CA, USA
| | - Arthur P Arnold
- Department of Integrative Biology & Physiology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Debra A Bangasser
- Department of Psychology and Neuroscience Program, Temple University, Philadelphia, PA, USA
| | - Kate M Denton
- Cardiovascular Disease Program, Monash Biomedicine Discovery Institute and Department of Physiology, Monash University, Clayton, Victoria, Australia
| | - Arpana Gupta
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, Division of Digestive Diseases, University of California, Los Angeles, Los Angeles, CA, USA
| | - Lucinda M Hilliard Krause
- Cardiovascular Disease Program, Monash Biomedicine Discovery Institute and Department of Physiology, Monash University, Clayton, Victoria, Australia
| | - Emeran A Mayer
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, Division of Digestive Diseases, University of California, Los Angeles, Los Angeles, CA, USA
| | - Margaret McCarthy
- Department of Pharmacology and Program in Neuroscience, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Walter L Miller
- Center for Reproductive Sciences, San Francisco, CA, USA
- Department of Pediatrics, University of California, San Francisco, CA, USA
| | - Armin Raznahan
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institutes of Mental Health, Intramural Research Program, Bethesda, MD, USA
| | - Ragini Verma
- Diffusion and Connectomics In Precision Healthcare Research (DiCIPHR) lab, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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11
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Ravichandran S, Bhatt RR, Pandit B, Osadchiy V, Alaverdyan A, Vora P, Stains J, Naliboff B, Mayer EA, Gupta A. Alterations in reward network functional connectivity are associated with increased food addiction in obese individuals. Sci Rep 2021; 11:3386. [PMID: 33564081 PMCID: PMC7873272 DOI: 10.1038/s41598-021-83116-0] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 01/07/2021] [Indexed: 12/19/2022] Open
Abstract
Functional neuroimaging studies in obesity have identified alterations in the connectivity within the reward network leading to decreased homeostatic control of ingestive behavior. However, the neural mechanisms underlying sex differences in the prevalence of food addiction in obesity is unknown. The aim of the study was to identify functional connectivity alterations associated with: (1) Food addiction, (2) Sex- differences in food addiction, (3) Ingestive behaviors. 150 participants (females: N = 103, males: N = 47; food addiction: N = 40, no food addiction: N = 110) with high BMI ≥ 25 kg/m2 underwent functional resting state MRIs. Participants were administered the Yale Food Addiction Scale (YFAS), to determine diagnostic criteria for food addiction (YFAS Symptom Count ≥ 3 with clinically significant impairment or distress), and completed ingestive behavior questionnaires. Connectivity differences were analyzed using a general linear model in the CONN Toolbox and images were segmented using the Schaefer 400, Harvard-Oxford Subcortical, and Ascending Arousal Network atlases. Significant connectivities and clinical variables were correlated. Statistical significance was corrected for multiple comparisons at q < .05. (1) Individuals with food addiction had greater connectivity between brainstem regions and the orbital frontal gyrus compared to individuals with no food addiction. (2) Females with food addiction had greater connectivity in the salience and emotional regulation networks and lowered connectivity between the default mode network and central executive network compared to males with food addiction. (3) Increased connectivity between regions of the reward network was positively associated with scores on the General Food Cravings Questionnaire-Trait, indicative of greater food cravings in individuals with food addiction. Individuals with food addiction showed greater connectivity between regions of the reward network suggesting dysregulation of the dopaminergic pathway. Additionally, greater connectivity in the locus coeruleus could indicate that the maladaptive food behaviors displayed by individuals with food addiction serve as a coping mechanism in response to pathological anxiety and stress. Sex differences in functional connectivity suggest that females with food addiction engage more in emotional overeating and less cognitive control and homeostatic processing compared to males. These mechanistic pathways may have clinical implications for understanding the sex-dependent variability in response to diet interventions.
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Affiliation(s)
- Soumya Ravichandran
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity Program, CHS 42-210 MC737818, 10833 Le Conte Avenue, Los Angeles, USA
| | - Ravi R Bhatt
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity Program, CHS 42-210 MC737818, 10833 Le Conte Avenue, Los Angeles, USA
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, USA
| | - Bilal Pandit
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity Program, CHS 42-210 MC737818, 10833 Le Conte Avenue, Los Angeles, USA
| | - Vadim Osadchiy
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity Program, CHS 42-210 MC737818, 10833 Le Conte Avenue, Los Angeles, USA
- David Geffen School of Medicine At UCLA, Los Angeles, USA
| | - Anita Alaverdyan
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity Program, CHS 42-210 MC737818, 10833 Le Conte Avenue, Los Angeles, USA
| | - Priten Vora
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity Program, CHS 42-210 MC737818, 10833 Le Conte Avenue, Los Angeles, USA
| | - Jean Stains
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity Program, CHS 42-210 MC737818, 10833 Le Conte Avenue, Los Angeles, USA
- David Geffen School of Medicine At UCLA, Los Angeles, USA
- Vatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, USA
| | - Bruce Naliboff
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity Program, CHS 42-210 MC737818, 10833 Le Conte Avenue, Los Angeles, USA
- David Geffen School of Medicine At UCLA, Los Angeles, USA
- Vatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, USA
- UCLA Microbiome Center, Los Angeles, USA
| | - Emeran A Mayer
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity Program, CHS 42-210 MC737818, 10833 Le Conte Avenue, Los Angeles, USA
- David Geffen School of Medicine At UCLA, Los Angeles, USA
- Vatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, USA
- UCLA Microbiome Center, Los Angeles, USA
- Ahmanson-Lovelace Brain Mapping Center, University of California Los Angeles (UCLA), Los Angeles, USA
| | - Arpana Gupta
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity Program, CHS 42-210 MC737818, 10833 Le Conte Avenue, Los Angeles, USA.
- David Geffen School of Medicine At UCLA, Los Angeles, USA.
- Vatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, USA.
- UCLA Microbiome Center, Los Angeles, USA.
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12
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Zhou Y, Song X, Guo Y, Lang X, Li Z, Zhang XY. Sex differences in metabolic disorder patterns of first-episode drug-naive patients with schizophrenia. Psychoneuroendocrinology 2021; 124:105061. [PMID: 33291004 DOI: 10.1016/j.psyneuen.2020.105061] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Revised: 11/11/2020] [Accepted: 11/11/2020] [Indexed: 12/16/2022]
Abstract
Although metabolic disorders are common in schizophrenia, few studies investigated sex differences in metabolic disorder. This study aimed to examine the sex differences in the clinical correlates of metabolic disorders and MetS in patients with first-episode drug-naïve (FEDN) schizophrenia. A total of 257 FEDN schizophrenia patients and 118 controls were recruited. Body mass index (BMI), waist circumference (WC) and blood pressure were measured. Fasting blood samples were drawn to detect triglycerides, cholesterol, high density lipoprotein cholesterol (HDLC), low density lipoprotein cholesterol (LDLC), blood glucose, glycosylated hemoglobin (HbA1c) and insulin. The Positive and Negative Syndrome Scale (PANSS) was applied to assess the clinical symptoms. There was sex difference in the prevalence of high BMI and dyslipidemia of schizophrenia patients. Female patients had lower prevalence of high BMI (p = 0.03) and hypertriglyceridemia (p = 0.006), but had higher prevalence of hypo-HDLC (p = 0.005), compared with male patients. Further, there were sex differences in the relationship between metabolic parameters and psychopathological dimensions. In male patients, WC was associated with positive symptoms and negative symptoms (r = 0.26, p Bonferroni = 0.02; r = 0.26, p Bonferroni = 0.02). In female patients, BMI (r = 0.26, p Bonferroni = 0.01), WC (r = 0.30, p Bonferroni = 0.004) and HAb1c were associated with positive symptoms (r = 0.27, p Bonferroni = 0.008). Insulin (r = 0.24, p Bonferroni = 0.02; r = 0.23, p Bonferroni = 0.04) and HOMA-IR (r = 0.29, p Bonferroni = 0.004; r = 0.25, p Bonferroni = 0.02) were associated with positive symptoms and general psychopathology symptoms. The contribution of clinical and metabolic components to MetS was almost same between male and female patients. Our study demonstrates sex difference in metabolic disorder patterns in schizophrenia patients.
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Affiliation(s)
- Yongjie Zhou
- Shenzhen Kangning Hospital, Shenzhen, Guangdong, China
| | - Xinxin Song
- Qingdao Mental Health Center, Qingdao University, Qingdao, China
| | - Yanhong Guo
- Qingdao Mental Health Center, Qingdao University, Qingdao, China
| | - Xiaoe Lang
- Department of Psychiatry, The First Clinical Medical College, Shanxi Medical University, Taiyuan, China
| | - Zezhi Li
- Department of Neurology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Xiang Yang Zhang
- Shenzhen Kangning Hospital, Shenzhen, Guangdong, China; CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
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13
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Zhang P, Liu Y, Yu FX, Wu GW, Li MY, Wang Z, Ding HY, Wang LX, Zhao KX, Zhang ZY, Zhao PF, Li J, Yang ZH, Lv H, Zhang ZT, Wang ZC. Hierarchical integrated processing of reward-related regions in obese males: A graph-theoretical-based study. Appetite 2020; 159:105055. [PMID: 33248191 DOI: 10.1016/j.appet.2020.105055] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Revised: 10/20/2020] [Accepted: 11/17/2020] [Indexed: 10/22/2022]
Abstract
Abnormal activities in reward-related regions are associated with overeating or obesity. Preliminary studies have shown that changes in neural activity in obesity include not only regional reward regions abnormalities but also impairments in the communication between reward-related regions and multiple functional areas. A recent study has shown that the transitions between different neural networks are nonrandom and hierarchical, and that activation of particular brain networks is more likely to occur after other brain networks. The aims of this study were to investigate the key nodes of reward-related regions in obese males and explore the hierarchical integrated processing of key nodes. Twenty-four obese males and 24 normal-weight male controls of similar ages were recruited. The fMRI data were acquired using 3.0 T MRI. The fMRI data preprocessing was performed in DPABI and SPM 12. Degree centrality analyses were conducted using GRETNA toolkit, and Granger causality analyses were calculated using DynamicBC toolbox. Decreased degree centrality was observed in left ventral medial prefrontal cortex (vmPFC) and right parahippocampal/hippocampal gyrus in group with obesity. The group with obesity demonstrated increased effective connectivity between left vmPFC and several regions (left inferior temporal gyrus, left supplementary motor area, right insular cortex, right postcentral gyrus, right paracentral lobule and bilateral fusiform gyrus). Increased effective connectivity was observed between right parahippocampal/hippocampal gyrus and left precentral/postcentral gyrus. Decreased effective connectivity was found between right parahippocampal/hippocampal gyrus and left inferior parietal lobule. This study identified the features of hierarchical interactions between the key reward nodes and multiple function networks. These findings may provide more evidence for the existing view of hierarchical organization in reward processing.
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Affiliation(s)
- Peng Zhang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China
| | - Yang Liu
- Department of General Surgery, Beijing Friendship Hospital, Capital Medical University & National Clinical Research Center for Digestive Diseases, Beijing, 100050, China
| | - Feng-Xia Yu
- Medical Imaging Center, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China
| | - Guo-Wei Wu
- School of Language Science and Art, Jiang Su Normal University, Xuzhou, 221116, China
| | - Meng-Yi Li
- Department of General Surgery, Beijing Friendship Hospital, Capital Medical University & National Clinical Research Center for Digestive Diseases, Beijing, 100050, China
| | - Zheng Wang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China
| | - He-Yu Ding
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China
| | - Li-Xue Wang
- Department of General Surgery, Beijing Friendship Hospital, Capital Medical University & National Clinical Research Center for Digestive Diseases, Beijing, 100050, China
| | - Kai-Xin Zhao
- Department of General Surgery, Beijing Friendship Hospital, Capital Medical University & National Clinical Research Center for Digestive Diseases, Beijing, 100050, China
| | - Zheng-Yu Zhang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China
| | - Peng-Fei Zhao
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China
| | - Jing Li
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China
| | - Zheng-Han Yang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China
| | - Han Lv
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
| | - Zhong-Tao Zhang
- Department of General Surgery, Beijing Friendship Hospital, Capital Medical University & National Clinical Research Center for Digestive Diseases, Beijing, 100050, China.
| | - Zhen-Chang Wang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
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14
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Gupta A, Osadchiy V, Mayer EA. Brain-gut-microbiome interactions in obesity and food addiction. Nat Rev Gastroenterol Hepatol 2020; 17:655-672. [PMID: 32855515 PMCID: PMC7841622 DOI: 10.1038/s41575-020-0341-5] [Citation(s) in RCA: 111] [Impact Index Per Article: 27.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/24/2020] [Indexed: 12/13/2022]
Abstract
Normal eating behaviour is coordinated by the tightly regulated balance between intestinal and extra-intestinal homeostatic and hedonic mechanisms. By contrast, food addiction is a complex, maladaptive eating behaviour that reflects alterations in brain-gut-microbiome (BGM) interactions and a shift of this balance towards hedonic mechanisms. Each component of the BGM axis has been implicated in the development of food addiction, with both brain to gut and gut to brain signalling playing a role. Early-life influences can prime the infant gut microbiome and brain for food addiction, which might be further reinforced by increased antibiotic usage and dietary patterns throughout adulthood. The ubiquitous availability and marketing of inexpensive, highly palatable and calorie-dense food can further shift this balance towards hedonic eating through both central (disruptions in dopaminergic signalling) and intestinal (vagal afferent function, metabolic endotoxaemia, systemic immune activation, changes to gut microbiome and metabolome) mechanisms. In this Review, we propose a systems biology model of BGM interactions, which incorporates published reports on food addiction, and provides novel insights into treatment targets aimed at each level of the BGM axis.
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Affiliation(s)
- Arpana Gupta
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity Program, University of California Los Angeles, Los Angeles, CA, USA
- David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Vatche and Tamar Manoukian Division of Digestive Diseases, University of California Los Angeles, Los Angeles, CA, USA
| | - Vadim Osadchiy
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity Program, University of California Los Angeles, Los Angeles, CA, USA
- David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Emeran A Mayer
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity Program, University of California Los Angeles, Los Angeles, CA, USA.
- David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
- Vatche and Tamar Manoukian Division of Digestive Diseases, University of California Los Angeles, Los Angeles, CA, USA.
- Ahmanson-Lovelace Brain Mapping Center at University of California Los Angeles, University of California Los Angeles, Los Angeles, CA, USA.
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15
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Higher BMI, but not obesity-related genetic polymorphisms, correlates with lower structural connectivity of the reward network in a population-based study. Int J Obes (Lond) 2020; 45:491-501. [PMID: 33100325 PMCID: PMC7906899 DOI: 10.1038/s41366-020-00702-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Revised: 09/13/2020] [Accepted: 10/14/2020] [Indexed: 11/08/2022]
Abstract
BACKGROUND Obesity is of complex origin, involving genetic and neurobehavioral factors. Genetic polymorphisms may increase the risk for developing obesity by modulating dopamine-dependent behaviors, such as reward processing. Yet, few studies have investigated the association of obesity, related genetic variants, and structural connectivity of the dopaminergic reward network. METHODS We analyzed 347 participants (age range: 20-59 years, BMI range: 17-38 kg/m2) of the LIFE-Adult Study. Genotyping for the single nucleotid polymorphisms rs1558902 (FTO) and rs1800497 (near dopamine D2 receptor) was performed on a microarray. Structural connectivity of the reward network was derived from diffusion-weighted magnetic resonance imaging at 3 T using deterministic tractography of Freesurfer-derived regions of interest. Using graph metrics, we extracted summary measures of clustering coefficient and connectivity strength between frontal and striatal brain regions. We used linear models to test the association of BMI, risk alleles of both variants, and reward network connectivity. RESULTS Higher BMI was significantly associated with lower connectivity strength for number of streamlines (β = -0.0025, 95%-C.I.: [-0.004, -0.0008], p = 0.0042), and, to lesser degree, fractional anisotropy (β = -0.0009, 95%-C.I. [-0.0016, -0.00008], p = 0.031), but not clustering coefficient. Strongest associations were found for left putamen, right accumbens, and right lateral orbitofrontal cortex. As expected, the polymorphism rs1558902 in FTO was associated with higher BMI (F = 6.9, p < 0.001). None of the genetic variants was associated with reward network structural connectivity. CONCLUSIONS Here, we provide evidence that higher BMI correlates with lower reward network structural connectivity. This result is in line with previous findings of obesity-related decline in white matter microstructure. We did not observe an association of variants in FTO or near DRD2 receptor with reward network structural connectivity in this population-based cohort with a wide range of BMI and age. Future research should further investigate the link between genetics, obesity and fronto-striatal structural connectivity.
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Peng SL, Chen CM. The influence of obesity on cerebral blood flow in young adults using arterial spin labeling MRI. NMR IN BIOMEDICINE 2020; 33:e4375. [PMID: 32729160 DOI: 10.1002/nbm.4375] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2020] [Revised: 06/25/2020] [Accepted: 06/26/2020] [Indexed: 06/11/2023]
Abstract
Obesity causes damage to several organs, including the brain. Recent studies have been focusing on understanding the mechanisms through which obesity affects brain structure and function using neuroimaging techniques. A functional biomarker, such as cerebral blood flow (CBF), is a powerful tool that can be used to explore neural dysfunction. However, there is currently limited information regarding the association between CBF and obesity. The study was conducted to investigate the potential effect of obesity on brain perfusion in a young cohort aged 20-30 years. A total of 21 obese (body mass index (BMI) > 26 kg/m2 ) and 21 lean (BMI < 24 kg/m2 ) right-handed volunteers were included in this study. CBF was acquired using the 2D single post-labeling delay (PLD) arterial spin labeling (ASL) technique on a 3 T MRI scanner. A multiple regression analysis was performed to examine the difference in global and regional gray matter (GM) CBF between the groups. CBF value was assigned as the dependent variable, whereas age, sex, and group (obese or lean) were considered as the independent variables. Results showed that group-related differences in CBF were homogeneous across brain regions, as obese subjects had significantly lower global GM CBF than lean subjects (P < 0.05). In the voxelwise analysis, obese individuals had significantly lower CBF in the left pulvinar of the thalamus and visual association areas, including Brodmann area (BA) 7, BA18, and BA19, than lean subjects. Although the signal-to-noise ratio was slightly compromised for 2D sequences and subject-specific arterial transit time was not estimated due to a single PLD sequence, this study demonstrated alterations in CBF in obese subjects, particularly in regions of the pulvinar of the thalamus and its synchronously related areas such as visual association areas. These results suggest that ASL provides a potential platform for further obesity-related research.
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Affiliation(s)
- Shin-Lei Peng
- Department of Biomedical Imaging and Radiological Science, China Medical University, Taichung, Taiwan
| | - Chun-Ming Chen
- Department of Radiology, China Medical University Hospital, Taichung, Taiwan
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17
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Improvement in Uncontrolled Eating Behavior after Laparoscopic Sleeve Gastrectomy Is Associated with Alterations in the Brain-Gut-Microbiome Axis in Obese Women. Nutrients 2020; 12:nu12102924. [PMID: 32987837 PMCID: PMC7599899 DOI: 10.3390/nu12102924] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 09/17/2020] [Accepted: 09/21/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Bariatric surgery is proven to change eating behavior and cause sustained weight loss, yet the exact mechanisms underlying these changes are not clearly understood. We explore this in a novel way by examining how bariatric surgery affects the brain-gut-microbiome (BGM) axis. METHODS Patient demographics, serum, stool, eating behavior questionnaires, and brain magnetic resonance imaging (MRI) were collected before and 6 months after laparoscopic sleeve gastrectomy (LSG). Differences in eating behavior and brain morphology and resting-state functional connectivity in core reward regions were correlated with serum metabolite and 16S microbiome data. RESULTS LSG resulted in significant weight loss and improvement in maladaptive eating behaviors as measured by the Yale Food Addiction Scale (YFAS). Brain imaging showed a significant increase in brain volume of the putamen (p.adj < 0.05) and amygdala (p.adj < 0.05) after surgery. Resting-state connectivity between the precuneus and the putamen was significantly reduced after LSG (p.adj = 0.046). This change was associated with YFAS symptom count. Bacteroides, Ruminococcus, and Holdemanella were associated with reduced connectivity between these areas. Metabolomic profiles showed a positive correlation between this brain connection and a phosphatidylcholine metabolite. CONCLUSION Bariatric surgery modulates brain networks that affect eating behavior, potentially through effects on the gut microbiota and its metabolites.
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Park BY, Byeon K, Lee MJ, Chung CS, Kim SH, Morys F, Bernhardt B, Dagher A, Park H. Whole-brain functional connectivity correlates of obesity phenotypes. Hum Brain Mapp 2020; 41:4912-4924. [PMID: 32804441 PMCID: PMC7643372 DOI: 10.1002/hbm.25167] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 07/09/2020] [Accepted: 08/01/2020] [Indexed: 12/11/2022] Open
Abstract
Dysregulated neural mechanisms in reward and somatosensory circuits result in an increased appetitive drive for and reduced inhibitory control of eating, which in turn causes obesity. Despite many studies investigating the brain mechanisms of obesity, the role of macroscale whole‐brain functional connectivity remains poorly understood. Here, we identified a neuroimaging‐based functional connectivity pattern associated with obesity phenotypes by using functional connectivity analysis combined with machine learning in a large‐scale (n ~ 2,400) dataset spanning four independent cohorts. We found that brain regions containing the reward circuit positively associated with obesity phenotypes, while brain regions for sensory processing showed negative associations. Our study introduces a novel perspective for understanding how the whole‐brain functional connectivity correlates with obesity phenotypes. Furthermore, we demonstrated the generalizability of our findings by correlating the functional connectivity pattern with obesity phenotypes in three independent datasets containing subjects of multiple ages and ethnicities. Our findings suggest that obesity phenotypes can be understood in terms of macroscale whole‐brain functional connectivity and have important implications for the obesity neuroimaging community.
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Affiliation(s)
- Bo-Yong Park
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada
| | - Kyoungseob Byeon
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, South Korea.,Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea
| | - Mi Ji Lee
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Chin-Sang Chung
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Se-Hong Kim
- Department of Family Medicine, St. Vincent's Hospital, Catholic University College of Medicine, Suwon, South Korea
| | - Filip Morys
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada
| | - Boris Bernhardt
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada
| | - Alain Dagher
- McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada
| | - Hyunjin Park
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea.,School of Electronic and Electrical Engineering, Sungkyunkwan University, Suwon, South Korea
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Neuroimaging of Sex/Gender Differences in Obesity: A Review of Structure, Function, and Neurotransmission. Nutrients 2020; 12:nu12071942. [PMID: 32629783 PMCID: PMC7400469 DOI: 10.3390/nu12071942] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 06/24/2020] [Accepted: 06/25/2020] [Indexed: 02/06/2023] Open
Abstract
While the global prevalence of obesity has risen among both men and women over the past 40 years, obesity has consistently been more prevalent among women relative to men. Neuroimaging studies have highlighted several potential mechanisms underlying an individual’s propensity to become obese, including sex/gender differences. Obesity has been associated with structural, functional, and chemical alterations throughout the brain. Whereas changes in somatosensory regions appear to be associated with obesity in men, reward regions appear to have greater involvement in obesity among women than men. Sex/gender differences have also been observed in the neural response to taste among people with obesity. A more thorough understanding of these neural and behavioral differences will allow for more tailored interventions, including diet suggestions, for the prevention and treatment of obesity.
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20
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Massa MG, Correa SM. Sexes on the brain: Sex as multiple biological variables in the neuronal control of feeding. Biochim Biophys Acta Mol Basis Dis 2020; 1866:165840. [PMID: 32428559 DOI: 10.1016/j.bbadis.2020.165840] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 05/05/2020] [Accepted: 05/13/2020] [Indexed: 12/21/2022]
Abstract
Neuronal interactions at the level of vagal, homeostatic, and hedonic circuitry work to regulate the neuronal control of feeding. This integrative system appears to vary across sex and gender in the animal and human worlds. Most feeding research investigating these variations across sex and gender focus on how the organizational and activational mechanisms of hormones contribute to these differences. However, in limited studies spanning both the central and peripheral nervous systems, sex differences in feeding have been shown to manifest not just at the level of the hormonal, but also at the chromosomal, epigenetic, cellular, and even circuitry levels to alter food intake. In this review, we provide a brief orientation to the current understanding of how these neuronal systems interact before dissecting selected studies from the recent literature to exemplify how feeding physiology at all levels can be affected by the various components of sex.
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Affiliation(s)
- Megan G Massa
- Department of Integrative Biology and Physiology, University of California, Los Angeles, CA, United States of America; Laboratory of Neuroendocrinology of the Brain Research Institute, University of California, Los Angeles, CA, United States of America; Neuroscience Interdepartmental Doctoral Program, University of California, Los Angeles, CA, United States of America.
| | - Stephanie M Correa
- Department of Integrative Biology and Physiology, University of California, Los Angeles, CA, United States of America; Laboratory of Neuroendocrinology of the Brain Research Institute, University of California, Los Angeles, CA, United States of America.
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21
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Evidence for a sex-specific contribution of polygenic load for anorexia nervosa to body weight and prefrontal brain structure in nonclinical individuals. Neuropsychopharmacology 2019; 44:2212-2219. [PMID: 31284291 PMCID: PMC6898345 DOI: 10.1038/s41386-019-0461-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2019] [Revised: 06/27/2019] [Accepted: 07/01/2019] [Indexed: 12/14/2022]
Abstract
Genetic predisposition and brain structural abnormalities have been shown to be involved in the biological underpinnings of anorexia nervosa (AN). Prefrontal brain regions are suggested to contribute through behavioral inhibition mechanisms to body weight. However, it is unknown if and to which extent biological correlates for AN might be present in individuals without clinical AN symptomatology. We therefore investigated the contribution of polygenic load for AN on body weight and prefrontal brain structure in a sample of n = 380 nonclinical individuals. A polygenic score (PGS) reflecting the individual genetic load for the trait of anorexia nervosa was calculated. Structural MRI data were acquired and preprocessed using the cortical parcellation stream of FreeSurfer. We observed a significant PGS × sex interaction effect on body mass index (BMI), which was driven by a negative correlation between PGS and BMI in female participants. Imaging analyses revealed significant interaction effects of sex × PGS on surface area of the lateral orbitofrontal cortex (OFC), the pars orbitalis (PO), the rostral middle frontal gyrus (RMF) and the pars triangularis (PT) of the left frontal cortex. The interaction effects were driven by positive correlations between PGS and prefrontal surface areas in female participants and negative correlations in male participants. We furthermore found sex-specific associations between BMI and left RMF surface area as well as between BMI and left PO and left RMF thickness. Our findings demonstrate a sex-specific association between polygenic load for AN, BMI, and prefrontal brain structure in nonclinical individuals. Hence, this study identifies structural abnormalities associated with polygenic load for AN and BMI in brain regions deeply involved in behavioral inhibition and impulse regulation as candidate brain regions for future research.
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22
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Osadchiy V, Mayer EA, Bhatt R, Labus JS, Gao L, Kilpatrick LA, Liu C, Tillisch K, Naliboff B, Chang L, Gupta A. History of early life adversity is associated with increased food addiction and sex-specific alterations in reward network connectivity in obesity. Obes Sci Pract 2019; 5:416-436. [PMID: 31687167 PMCID: PMC6819979 DOI: 10.1002/osp4.362] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2019] [Revised: 07/17/2019] [Accepted: 07/18/2019] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Neuroimaging studies have identified obesity-related differences in the brain's resting state activity. An imbalance between homeostatic and reward aspects of ingestive behaviour may contribute to obesity and food addiction. The interactions between early life adversity (ELA), the reward network and food addiction were investigated to identify obesity and sex-related differences, which may drive obesity and food addiction. METHODS Functional resting state magnetic resonance imaging was acquired in 186 participants (high body mass index [BMI]: ≥25: 53 women and 54 men; normal BMI: 18.50-24.99: 49 women and 30 men). Participants completed questionnaires to assess ELA (Early Traumatic Inventory) and food addiction (Yale Food Addiction Scale). A tripartite network analysis based on graph theory was used to investigate the interaction between ELA, brain connectivity and food addiction. Interactions were determined by computing Spearman rank correlations, thresholded at q < 0.05 corrected for multiple comparisons. RESULTS Participants with high BMI demonstrate an association between ELA and food addiction, with reward regions playing a role in this interaction. Among women with high BMI, increased ELA was associated with increased centrality of reward and emotion regulation regions. Men with high BMI showed associations between ELA and food addiction with somatosensory regions playing a role in this interaction. CONCLUSIONS The findings suggest that ELA may alter brain networks, leading to increased vulnerability for food addiction and obesity later in life. These alterations are sex specific and involve brain regions influenced by dopaminergic or serotonergic signalling.
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Affiliation(s)
- V. Osadchiy
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- David Geffen School of MedicineUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
| | - E. A. Mayer
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- David Geffen School of MedicineUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- Vatche and Tamar Manoukin Division of Digestive DiseasesUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- Ahmanson‐Lovelace Brain Mapping CenterUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
| | - R. Bhatt
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- Pediatric Pain and Palliative Care ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
| | - J. S. Labus
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- David Geffen School of MedicineUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- Vatche and Tamar Manoukin Division of Digestive DiseasesUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
| | - L. Gao
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
| | - L. A. Kilpatrick
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- David Geffen School of MedicineUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- Vatche and Tamar Manoukin Division of Digestive DiseasesUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
| | - C. Liu
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- David Geffen School of MedicineUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- Vatche and Tamar Manoukin Division of Digestive DiseasesUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
| | - K. Tillisch
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- David Geffen School of MedicineUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- Vatche and Tamar Manoukin Division of Digestive DiseasesUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- Pediatric Pain and Palliative Care ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
| | - B. Naliboff
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- David Geffen School of MedicineUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- Vatche and Tamar Manoukin Division of Digestive DiseasesUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
| | - L. Chang
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- David Geffen School of MedicineUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- Vatche and Tamar Manoukin Division of Digestive DiseasesUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
| | - A. Gupta
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity ProgramUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- David Geffen School of MedicineUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
- Vatche and Tamar Manoukin Division of Digestive DiseasesUniversity of California, Los Angeles (UCLA)Los AngelesCAUSA
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Pak K, Kim H, Seok JW, Lee MJ, Shin S, Kim K, Lee JM, Seo Y, Kim BS, Jun S, Kim IJ. Prediction of future weight change with dopamine transporter in patients with Parkinson's disease. J Neural Transm (Vienna) 2019; 126:723-729. [PMID: 31102003 DOI: 10.1007/s00702-019-02016-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2019] [Accepted: 05/11/2019] [Indexed: 12/15/2022]
Abstract
Fluctuating body weight is a commonly reported nonmotor feature in patients with Parkinson's disease (PD). We hypothesised that striatal dopamine transporter (DAT) density at the time of diagnosis might play an important role in weight regulation in patients with PD. DAT density was measured from 123I-FP-CIT single-photon emission computed tomography. Region-of-interest analyses were performed to measure the specific binding of 123I-FP-CIT to DAT, and the putamen-to-caudate nucleus ratio (PCR) was calculated. Body weight was measured at baseline (W0) and at 48 months (W48). We classified subjects into three groups: weight loss, stable, and weight gain. In final analyses, 163 patients (106 men, 57 women) were included. PCR significantly differed by group in men, but not in women or across all patients. In men, PCR was slightly negatively associated with the percentage change in weight. No such correlation was found across all patients or in women. In univariate and multivariate logistic regression analyses, low PCR was associated with future weight gain in men with PD but not in women. In conclusion, striatal DAT availability at the time of diagnosis could predict subsequent weight change in men with PD.
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Affiliation(s)
- Kyoungjune Pak
- Department of Nuclear Medicine and Biomedical Research Institute, Pusan National University Hospital, 179 Gudeok-ro, Seo-gu, Busan, 49241, Republic of Korea.
| | - Heeyoung Kim
- Department of Nuclear Medicine, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Republic of Korea
| | - Ju Won Seok
- Department of Nuclear Medicine, Chung-Ang University College of Medicine, Seoul, Republic of Korea
| | - Myung Jun Lee
- Department of Neurology and Biomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea.
| | - Seunghyeon Shin
- Department of Nuclear Medicine, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Republic of Korea
| | - Keunyoung Kim
- Department of Nuclear Medicine and Biomedical Research Institute, Pusan National University Hospital, 179 Gudeok-ro, Seo-gu, Busan, 49241, Republic of Korea
| | - Jae Meen Lee
- Department of Neurosurgery and Biomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea
| | - Youngduk Seo
- Department of Nuclear Medicine, Busan Seongso Hospital, Busan, Republic of Korea
| | - Bum Soo Kim
- Department of Nuclear Medicine, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Republic of Korea
| | - Sungmin Jun
- Department of Nuclear Medicine, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Republic of Korea
| | - In Joo Kim
- Department of Nuclear Medicine and Biomedical Research Institute, Pusan National University Hospital, 179 Gudeok-ro, Seo-gu, Busan, 49241, Republic of Korea
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Salience network connectivity is reduced by a meal and influenced by genetic background and hypothalamic gliosis. Int J Obes (Lond) 2019; 44:167-177. [PMID: 30967608 PMCID: PMC6785381 DOI: 10.1038/s41366-019-0361-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Revised: 03/04/2019] [Accepted: 03/10/2019] [Indexed: 01/30/2023]
Abstract
Background/Objectives: The salience network (SN) comprises brain regions that evaluate cues in the external environment in light of internal signals. We examined the SN response to meal intake and potential genetic and acquired influences on SN function. Subjects/Methods: Monozygotic (MZ; 40 pairs) and dizygotic (15 pairs) twins had body composition and plasma metabolic profile evaluated (glucose, insulin, leptin, ghrelin and GLP-1). Twins underwent resting-state functional magnetic resonance imaging (fMRI) scans before and after a standardized meal. The strength of SN connectivity was analyzed pre- and post-meal and the percentage change elicited by a meal was calculated. A multi-echo T2 MRI scan measured T2 relaxation time, a radiologic index of gliosis, in the mediobasal hypothalamus (MBH) and control regions. Statistical approaches included intraclass correlations (ICC) to investigate genetic influences and within-pair analyses to exclude genetic confounders. Results: SN connectivity was reduced by meal ingestion (β=−0.20; P<0.001). Inherited influences on both pre- and post-meal connectivity were present (ICC MZ twins 26%, P<0.05 and 47%, P<0.001, respectively), but not percentage change in response to the meal. SN connectivity in response to a meal did not differ between participants with obesity and of normal weight (χ2(1)=0.93; P=0.33). However, when participants were classified as having high or low signs of MBH gliosis, the high MBH gliosis group failed to reduce the connectivity in response to a meal (z=−1.32; P=0.19). Excluding genetic confounders, the percentage change in SN connectivity by a meal correlated to body fat percentage (r=0.24; P<0.01). Conclusions: SN connectivity was reduced by a meal, indicating potential participation of the SN in control of feeding. The strength of SN connectivity is inherited, but the degree to which SN connectivity is reduced by eating appears to be influenced by adiposity and the presence of hypothalamic gliosis.
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25
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Zhang P, Liu Y, Lv H, Li MY, Yu FX, Wang Z, Ding HY, Wang LX, Zhao KX, Zhang ZY, Zhao PF, Li J, Yang ZH, Zhang ZT, Wang ZC. Integration of Neural Reward Processing and Appetite-Related Signaling in Obese Females: Evidence From Resting-State fMRI. J Magn Reson Imaging 2019; 50:541-551. [PMID: 30653786 DOI: 10.1002/jmri.26576] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2018] [Revised: 10/25/2018] [Accepted: 10/27/2018] [Indexed: 12/19/2022] Open
Affiliation(s)
- Peng Zhang
- Department of Radiology; Beijing Friendship Hospital, Capital Medical University; Beijing China
| | - Yang Liu
- Department of General Surgery; Beijing Friendship Hospital, Capital Medical University & National Clinical Research Center for Digestive Diseases; Beijing China
| | - Han Lv
- Department of Radiology; Beijing Friendship Hospital, Capital Medical University; Beijing China
| | - Meng-yi Li
- Department of General Surgery; Beijing Friendship Hospital, Capital Medical University & National Clinical Research Center for Digestive Diseases; Beijing China
| | - Feng-xia Yu
- Medical Imaging Center; Beijing Tongren Hospital, Capital Medical University; Beijing China
| | - Zheng Wang
- Department of Radiology; Beijing Friendship Hospital, Capital Medical University; Beijing China
| | - He-yu Ding
- Department of Radiology; Beijing Friendship Hospital, Capital Medical University; Beijing China
| | - Li-xue Wang
- Department of General Surgery; Beijing Friendship Hospital, Capital Medical University & National Clinical Research Center for Digestive Diseases; Beijing China
| | - Kai-xin Zhao
- Department of General Surgery; Beijing Friendship Hospital, Capital Medical University & National Clinical Research Center for Digestive Diseases; Beijing China
| | - Zheng-yu Zhang
- Department of Radiology; Beijing Friendship Hospital, Capital Medical University; Beijing China
| | - Peng-fei Zhao
- Department of Radiology; Beijing Friendship Hospital, Capital Medical University; Beijing China
| | - Jing Li
- Department of Radiology; Beijing Friendship Hospital, Capital Medical University; Beijing China
| | - Zheng-han Yang
- Department of Radiology; Beijing Friendship Hospital, Capital Medical University; Beijing China
| | - Zhong-tao Zhang
- Department of General Surgery; Beijing Friendship Hospital, Capital Medical University & National Clinical Research Center for Digestive Diseases; Beijing China
| | - Zhen-chang Wang
- Department of Radiology; Beijing Friendship Hospital, Capital Medical University; Beijing China
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26
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Gupta A, Mayer EA, Labus JS, Bhatt RR, Ju T, Love A, Bal A, Tillisch K, Naliboff B, Sanmiguel CP, Kilpatrick LA. Sex Commonalities and Differences in Obesity-Related Alterations in Intrinsic Brain Activity and Connectivity. Obesity (Silver Spring) 2018; 26:340-350. [PMID: 29280306 PMCID: PMC5783781 DOI: 10.1002/oby.22060] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2017] [Revised: 10/02/2017] [Accepted: 10/04/2017] [Indexed: 01/11/2023]
Abstract
OBJECTIVE This study aimed to characterize obesity-related sex differences in the intrinsic activity and connectivity of the brain's reward networks. METHODS Eighty-six women (n = 43) and men (n = 43) completed a 10-minute resting functional magnetic resonance imaging scan. Sex differences and commonalities in BMI-related frequency power distribution and reward seed-based connectivity were investigated by using partial least squares analysis. RESULTS For whole-brain activity in both men and women, increased BMI was associated with increased slow-5 activity in the left globus pallidus (GP) and substantia nigra. In women only, increased BMI was associated with increased slow-4 activity in the right GP and bilateral putamen. For seed-based connectivity in women, increased BMI was associated with reduced slow-5 connectivity between the left GP and putamen and the emotion and cortical regulation regions, but in men, increased BMI was associated with increased connectivity with the medial frontal cortex. In both men and women, increased BMI was associated with increased slow-4 connectivity between the right GP and bilateral putamen and the emotion regulation and sensorimotor-related regions. CONCLUSIONS The stronger relationship between increased BMI and decreased connectivity of core reward network components with cortical and emotion regulation regions in women may be related to the greater prevalence of emotional eating. The present findings suggest the importance of personalized treatments for obesity that consider the sex of the affected individual.
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Affiliation(s)
- Arpana Gupta
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity Program, University of California Los Angeles (UCLA)
- David Geffen School of Medicine, University of California Los Angeles (UCLA)
- Vatche and Tamar Manoukin Division of Digestive Diseases, University of California Los Angeles (UCLA)
| | - Emeran A. Mayer
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity Program, University of California Los Angeles (UCLA)
- David Geffen School of Medicine, University of California Los Angeles (UCLA)
- Vatche and Tamar Manoukin Division of Digestive Diseases, University of California Los Angeles (UCLA)
- Ahmanson-Lovelace Brain Mapping Center at University of California Los Angeles (UCLA)
| | - Jennifer S. Labus
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity Program, University of California Los Angeles (UCLA)
- David Geffen School of Medicine, University of California Los Angeles (UCLA)
- Vatche and Tamar Manoukin Division of Digestive Diseases, University of California Los Angeles (UCLA)
| | - Ravi R. Bhatt
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity Program, University of California Los Angeles (UCLA)
- Pediatric Pain and Palliative Care Program at UCLA
| | - Tiffany Ju
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity Program, University of California Los Angeles (UCLA)
| | - Aubrey Love
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity Program, University of California Los Angeles (UCLA)
| | - Amanat Bal
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity Program, University of California Los Angeles (UCLA)
| | - Kirsten Tillisch
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity Program, University of California Los Angeles (UCLA)
- David Geffen School of Medicine, University of California Los Angeles (UCLA)
- Vatche and Tamar Manoukin Division of Digestive Diseases, University of California Los Angeles (UCLA)
- Pediatric Pain and Palliative Care Program at UCLA
| | - Bruce Naliboff
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity Program, University of California Los Angeles (UCLA)
- David Geffen School of Medicine, University of California Los Angeles (UCLA)
- Vatche and Tamar Manoukin Division of Digestive Diseases, University of California Los Angeles (UCLA)
| | - Claudia P. Sanmiguel
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity Program, University of California Los Angeles (UCLA)
- David Geffen School of Medicine, University of California Los Angeles (UCLA)
- Vatche and Tamar Manoukin Division of Digestive Diseases, University of California Los Angeles (UCLA)
| | - Lisa A. Kilpatrick
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Ingestive Behavior and Obesity Program, University of California Los Angeles (UCLA)
- David Geffen School of Medicine, University of California Los Angeles (UCLA)
- Vatche and Tamar Manoukin Division of Digestive Diseases, University of California Los Angeles (UCLA)
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