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Pereira SS, Guimarães M, Monteiro MP. Towards precision medicine in bariatric surgery prescription. Rev Endocr Metab Disord 2023; 24:961-977. [PMID: 37129798 PMCID: PMC10492755 DOI: 10.1007/s11154-023-09801-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/12/2023] [Indexed: 05/03/2023]
Abstract
Obesity is a complex, multifactorial and chronic disease. Bariatric surgery is a safe and effective treatment intervention for obesity and obesity-related diseases. However, weight loss after surgery can be highly heterogeneous and is not entirely predictable, particularly in the long-term after intervention. In this review, we present and discuss the available data on patient-related and procedure-related factors that were previously appointed as putative predictors of bariatric surgery outcomes. In addition, we present a critical appraisal of the available evidence on which factors could be taken into account when recommending and deciding which bariatric procedure to perform. Several patient-related features were identified as having a potential impact on weight loss after bariatric surgery, including age, gender, anthropometrics, obesity co-morbidities, eating behavior, genetic background, circulating biomarkers (microRNAs, metabolites and hormones), psychological and socioeconomic factors. However, none of these factors are sufficiently robust to be used as predictive factors. Overall, there is no doubt that before we long for precision medicine, there is the unmet need for a better understanding of the socio-biological drivers of weight gain, weight loss failure and weight-regain after bariatric interventions. Machine learning models targeting preoperative factors and effectiveness measurements of specific bariatric surgery interventions, would enable a more precise identification of the causal links between determinants of weight gain and weight loss. Artificial intelligence algorithms to be used in clinical practice to predict the response to bariatric surgery interventions could then be created, which would ultimately allow to move forward into precision medicine in bariatric surgery prescription.
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Affiliation(s)
- Sofia S Pereira
- UMIB - Unit for Multidisciplinary Research in Biomedicine, ICBAS - School of Medicine and Biomedical Sciences, University of Porto, Rua Jorge Viterbo Ferreira 228, 4050-313, Porto, Portugal
- ITR - Laboratory of Integrative and Translocation Research in Population Health, Rua das Taipas 135, 4050-600, Porto, Portugal
| | - Marta Guimarães
- UMIB - Unit for Multidisciplinary Research in Biomedicine, ICBAS - School of Medicine and Biomedical Sciences, University of Porto, Rua Jorge Viterbo Ferreira 228, 4050-313, Porto, Portugal
- ITR - Laboratory of Integrative and Translocation Research in Population Health, Rua das Taipas 135, 4050-600, Porto, Portugal
- Department of General Surgery, Hospital São Sebastião, Centro Hospitalar de Entre o Douro e Vouga, Rua Dr. Cândido Pinho, 4050-220, Santa Maia da Feira, Portugal
| | - Mariana P Monteiro
- UMIB - Unit for Multidisciplinary Research in Biomedicine, ICBAS - School of Medicine and Biomedical Sciences, University of Porto, Rua Jorge Viterbo Ferreira 228, 4050-313, Porto, Portugal.
- ITR - Laboratory of Integrative and Translocation Research in Population Health, Rua das Taipas 135, 4050-600, Porto, Portugal.
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2
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Custers E, Vreeken D, Kaufmann LK, Pujol-Gualdo N, Asbreuk M, Wiesmann M, Aarts E, Hazebroek EJ, Kiliaan AJ. Cognitive Control and Weight Loss After Bariatric Surgery: the BARICO Study. Obes Surg 2023; 33:2799-2807. [PMID: 37477832 PMCID: PMC10435598 DOI: 10.1007/s11695-023-06744-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 07/05/2023] [Accepted: 07/14/2023] [Indexed: 07/22/2023]
Abstract
BACKGROUND AND OBJECTIVES Bariatric surgery (BS) is an effective treatment for obesity. However, some individuals experience insufficient weight loss after surgery. Therefore, we investigated whether cognitive control affects weight loss after Roux-en-Y gastric bypass (RYGB). METHODS Within this exploratory observational study, part of the BARICO study (BAriatric surgery Rijnstate and Radboudumc neuroImaging and Cognition in Obesity), participants aged between 35 and 55 years eligible for RYGB were included. Before and after BS, body weight, (delta) BMI and percentage total body weight loss (%TBWL) were determined. Additionally, at baseline, Stroop task-performance, -activation and -connectivity were assessed by a color-word paradigm task during functional neuroimaging to determine the ability of participants to inhibit cognitive interference. RESULTS Seventy-six participants were included, of whom 14 were excluded from fMRI analysis, leaving 62 participants. Participants were aged 45.0 ± 5.9 years with a mean pre-surgery BMI of 40.2 ± 3.3 kg/m2, and 86% were women. Mean decrease in BMI was 13.8 ± 2.5 kg/m2, and mean %TBWL was 34.9 ± 6.3% 1 year after BS. Stroop task performance did not correlate with (delta) BMI and %TBWL. The inferior parietal/middle occipital gyrus, inferior frontal gyrus, and supplementary motor cortex were involved in cognitive interference, although activity in these regions did not predict weight loss after surgery. Lastly, generalized psychophysiological interaction did not provide evidence for (delta) BMI- and %TBWL-dependent connectivity modulation. DISCUSSION Cognitive control did not predict weight loss after surgery. Future studies should focus on longer follow-up periods to understand the relation between cognitive control and weight loss. TRIAL REGISTRATION NL7090 ( https://www.clinicaltrialregister.nl/nl/trial/28949 ).
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Affiliation(s)
- Emma Custers
- Department of Medical Imaging, Anatomy, Preclinical Imaging Centre, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Bariatric Surgery, Vitalys, Part of Rijnstate Hospital, Arnhem, The Netherlands
- Donders Institute for Brain, Cognition, and Behavior, Geert Grooteplein 21N, 6525 EZ, Nijmegen, The Netherlands
| | - Debby Vreeken
- Department of Medical Imaging, Anatomy, Preclinical Imaging Centre, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Bariatric Surgery, Vitalys, Part of Rijnstate Hospital, Arnhem, The Netherlands
- Donders Institute for Brain, Cognition, and Behavior, Geert Grooteplein 21N, 6525 EZ, Nijmegen, The Netherlands
| | - Lisa-Katrin Kaufmann
- Donders Institute for Brain, Cognition, and Behavior, Geert Grooteplein 21N, 6525 EZ, Nijmegen, The Netherlands
| | - Natalia Pujol-Gualdo
- Department of Medical Imaging, Anatomy, Preclinical Imaging Centre, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Marije Asbreuk
- Department of Medical Imaging, Anatomy, Preclinical Imaging Centre, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Maximilian Wiesmann
- Department of Medical Imaging, Anatomy, Preclinical Imaging Centre, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition, and Behavior, Geert Grooteplein 21N, 6525 EZ, Nijmegen, The Netherlands
| | - Esther Aarts
- Donders Institute for Brain, Cognition, and Behavior, Geert Grooteplein 21N, 6525 EZ, Nijmegen, The Netherlands
| | - Eric J Hazebroek
- Department of Bariatric Surgery, Vitalys, Part of Rijnstate Hospital, Arnhem, The Netherlands
- Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands
| | - Amanda J Kiliaan
- Department of Medical Imaging, Anatomy, Preclinical Imaging Centre, Radboud University Medical Center, Nijmegen, The Netherlands.
- Donders Institute for Brain, Cognition, and Behavior, Geert Grooteplein 21N, 6525 EZ, Nijmegen, The Netherlands.
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3
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Szmygin H, Szmygin M, Cheda M, Kłobuszewski B, Drelich-Zbroja A, Matyjaszek-Matuszek B. Current Insights into the Potential Role of fMRI in Discovering the Mechanisms Underlying Obesity. J Clin Med 2023; 12:4379. [PMID: 37445414 DOI: 10.3390/jcm12134379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 06/19/2023] [Accepted: 06/28/2023] [Indexed: 07/15/2023] Open
Abstract
Obesity is becoming one of the major global health concerns. This chronic disease affects around 650 million people worldwide and is an underlying cause of a number of significant comorbidities. According to the World Health Organization (WHO) report on obesity from 2022, this disorder became the fourth leading cause of deaths in Europe. Thus, understanding the mechanisms underlying obesity is of essential importance to successfully prevent and treat this disease. The aim of this study was to review the current insights into the potential role of fMRI in discovering the mechanisms underlying obesity on the basis of recent scientific literature published up to December 2022 and searches of the PubMed, Google Scholar and Web of Science databases. The literature assessed indicated that a growing body of evidence suggests that obesity leads to changes in both structure and connectivity within the central nervous system. Emerging data from recent functional magnetic resonance imaging (fMRI) studies prove that obese individuals present an increased motivational drive to eat as well as impaired processing in reward- and control-related brain regions. Apart from this, it is clear that fMRI might be a useful tool in detection of obesity-induced changes within the central nervous system.
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Affiliation(s)
- Hanna Szmygin
- Department of Endocrinology, Diabetology and Metabolic Diseases, Medical University of Lublin, 20-093 Lublin, Poland
| | - Maciej Szmygin
- Department of Interventional Radiology and Neuroradiology, Medical University of Lublin, 20-093 Lublin, Poland
| | - Mateusz Cheda
- Department of Interventional Radiology and Neuroradiology, Medical University of Lublin, 20-093 Lublin, Poland
| | - Bartosz Kłobuszewski
- Department of Interventional Radiology and Neuroradiology, Medical University of Lublin, 20-093 Lublin, Poland
| | - Anna Drelich-Zbroja
- Department of Interventional Radiology and Neuroradiology, Medical University of Lublin, 20-093 Lublin, Poland
| | - Beata Matyjaszek-Matuszek
- Department of Endocrinology, Diabetology and Metabolic Diseases, Medical University of Lublin, 20-093 Lublin, Poland
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4
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Kapała J, Maroszczuk T, Lewandowska J, Lech P, Dowgiałło-Gornowicz N. Weight Regain in the Second Year after Sleeve Gastrectomy Could Be a Predictor of Long-Term Outcomes? MEDICINA (KAUNAS, LITHUANIA) 2023; 59:medicina59040766. [PMID: 37109724 PMCID: PMC10143935 DOI: 10.3390/medicina59040766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Revised: 04/11/2023] [Accepted: 04/12/2023] [Indexed: 04/29/2023]
Abstract
Background and Objectives: Sleeve gastrectomy (SG) is an effective surgical procedure in the treatment of obesity. However, a significant percentage of patients suffer from weight regain over long-term follow-up. The mechanisms responsible for this process are still poorly understood. The aim of the study is to evaluate the predictive effect of weight regain in the second year after SG on long-term bariatric surgery effectiveness. Methods: A retrospective cohort study was performed using the database of routinely collected information about patients undergoing SG in the Department of General, Minimally Invasive and Elderly Surgery in Olsztyn. Patients were divided into two groups according to the change in body weight between the first and second years after the surgery: weight gainers (WG) and weight maintainers (WM). Results: A study group consisting of 206 patients, with follow-up over 5 years, was included in the study. The WG group consisted of 69 patients while the WM group had 137 patients. There were no significant differences between the patient characteristics (p > 0.05). The WM group had a mean %EWL of 7.45% (SD, 15.83%) and %TWL of 3.74 (SD, 8.43). The WG group had a mean %EWL of 22.78% (SD, 17.11%) and %TWL of 11.29% (SD, 8.68). The difference between the groups was statistically significant (p < 0.05). The study showed significantly better results in WM compared to WG (p < 0.05). Conclusion: Weight regain in the second year after SG may be a good factor for long-term bariatric surgery effectiveness prognosis.
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Affiliation(s)
- Jan Kapała
- Department of General, Minimally Invasive and Elderly Surgery, Collegium Medicum, University of Warmia and Mazury, Niepodległosci 44 St., 10-045 Olsztyn, Poland
| | - Tomasz Maroszczuk
- Department of General, Minimally Invasive and Elderly Surgery, Collegium Medicum, University of Warmia and Mazury, Niepodległosci 44 St., 10-045 Olsztyn, Poland
| | - Julia Lewandowska
- Department of General, Minimally Invasive and Elderly Surgery, Collegium Medicum, University of Warmia and Mazury, Niepodległosci 44 St., 10-045 Olsztyn, Poland
| | - Paweł Lech
- Department of General, Minimally Invasive and Elderly Surgery, Collegium Medicum, University of Warmia and Mazury, Niepodległosci 44 St., 10-045 Olsztyn, Poland
| | - Natalia Dowgiałło-Gornowicz
- Department of General, Minimally Invasive and Elderly Surgery, Collegium Medicum, University of Warmia and Mazury, Niepodległosci 44 St., 10-045 Olsztyn, Poland
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Albaugh VL, He Y, Münzberg H, Morrison CD, Yu S, Berthoud HR. Regulation of body weight: Lessons learned from bariatric surgery. Mol Metab 2023; 68:101517. [PMID: 35644477 PMCID: PMC9938317 DOI: 10.1016/j.molmet.2022.101517] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Revised: 05/04/2022] [Accepted: 05/21/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Bariatric or weight loss surgery is currently the most effective treatment for obesity and metabolic disease. Unlike dieting and pharmacology, its beneficial effects are sustained over decades in most patients, and mortality is among the lowest for major surgery. Because there are not nearly enough surgeons to implement bariatric surgery on a global scale, intensive research efforts have begun to identify its mechanisms of action on a molecular level in order to replace surgery with targeted behavioral or pharmacological treatments. To date, however, there is no consensus as to the critical mechanisms involved. SCOPE OF REVIEW The purpose of this non-systematic review is to evaluate the existing evidence for specific molecular and inter-organ signaling pathways that play major roles in bariatric surgery-induced weight loss and metabolic benefits, with a focus on Roux-en-Y gastric bypass (RYGB) and vertical sleeve gastrectomy (VSG), in both humans and rodents. MAJOR CONCLUSIONS Gut-brain communication and its brain targets of food intake control and energy balance regulation are complex and redundant. Although the relatively young science of bariatric surgery has generated a number of hypotheses, no clear and unique mechanism has yet emerged. It seems increasingly likely that the broad physiological and behavioral effects produced by bariatric surgery do not involve a single mechanism, but rather multiple signaling pathways. Besides a need to improve and better validate surgeries in animals, advanced techniques, including inducible, tissue-specific knockout models, and the use of humanized physiological traits will be necessary. State-of-the-art genetically-guided neural identification techniques should be used to more selectively manipulate function-specific pathways.
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Affiliation(s)
- Vance L Albaugh
- Translational and Integrative Gastrointestinal and Endocrine Research Laboratory, Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA
| | - Yanlin He
- Brain Glycemic and Metabolism Control Department, Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA
| | - Heike Münzberg
- Neurobiology of Nutrition & Metabolism Department, Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA
| | - Christopher D Morrison
- Neurobiology of Nutrition & Metabolism Department, Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA
| | - Sangho Yu
- Neurobiology of Nutrition & Metabolism Department, Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA
| | - Hans-Rudolf Berthoud
- Neurobiology of Nutrition & Metabolism Department, Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA.
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Koenis MMG, Ng J, Anderson B, Stevens MC, Tishler DS, Papasavas PK, Stone A, McLaughlin T, Verhaak A, Domakonda MJ, Pearlson GD. Food cue reactivity in successful laparoscopic gastric banding: A sham-deflation-controlled pilot study. Front Hum Neurosci 2022; 16:902192. [PMID: 36092648 PMCID: PMC9454014 DOI: 10.3389/fnhum.2022.902192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 08/09/2022] [Indexed: 11/24/2022] Open
Abstract
Laparoscopic adjustable gastric banding (LAGB) offers a unique opportunity to examine the underlying neuronal mechanisms of surgically assisted weight loss due to its instant, non-invasive, adjustable nature. Six participants with stable excess weight loss (%EWL ≥ 45) completed 2 days of fMRI scanning 1.5-5 years after LAGB surgery. In a within-subject randomized sham-controlled design, participants underwent (sham) removal of ∼ 50% of the band's fluid. Compared to sham-deflation (i.e., normal band constriction) of the band, in the deflation condition (i.e., decreasing restriction) participants showed significantly lower activation in the anterior (para)cingulate, angular gyrus, lateral occipital cortex, and frontal cortex in response to food images (p < 0.05, whole brain TFCE-based FWE corrected). Higher activation in the deflation condition was seen in the fusiform gyrus, inferior temporal gyrus, lingual gyrus, lateral occipital cortex. The findings of this within-subject randomized controlled pilot study suggest that constriction of the stomach through LAGB may indirectly alter brain activation in response to food cues. These neuronal changes may underlie changes in food craving and food preference that support sustained post-surgical weight-loss. Despite the small sample size, this is in agreement with and adds to the growing literature of post-bariatric surgery changes in behavior and control regions.
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Affiliation(s)
- Marinka M. G. Koenis
- Olin Neuropsychiatry Research Center, Institute of Living at Hartford Hospital, Hartford, CT, United States
| | - Janet Ng
- Olin Neuropsychiatry Research Center, Institute of Living at Hartford Hospital, Hartford, CT, United States
| | - Beth Anderson
- Olin Neuropsychiatry Research Center, Institute of Living at Hartford Hospital, Hartford, CT, United States
| | - Michael C. Stevens
- Olin Neuropsychiatry Research Center, Institute of Living at Hartford Hospital, Hartford, CT, United States
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
| | - Darren S. Tishler
- Division of Metabolic and Bariatric Surgery, Hartford Hospital, Hartford, CT, United States
| | - Pavlos K. Papasavas
- Division of Metabolic and Bariatric Surgery, Hartford Hospital, Hartford, CT, United States
| | - Andrea Stone
- Olin Neuropsychiatry Research Center, Institute of Living at Hartford Hospital, Hartford, CT, United States
| | - Tara McLaughlin
- Division of Metabolic and Bariatric Surgery, Hartford Hospital, Hartford, CT, United States
| | - Allison Verhaak
- Division of Metabolic and Bariatric Surgery, Hartford Hospital, Hartford, CT, United States
| | - Mirjana J. Domakonda
- Olin Neuropsychiatry Research Center, Institute of Living at Hartford Hospital, Hartford, CT, United States
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
| | - Godfrey D. Pearlson
- Olin Neuropsychiatry Research Center, Institute of Living at Hartford Hospital, Hartford, CT, United States
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT, United States
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7
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Kozarzewski L, Maurer L, Mähler A, Spranger J, Weygandt M. Computational approaches to predicting treatment response to obesity using neuroimaging. Rev Endocr Metab Disord 2022; 23:773-805. [PMID: 34951003 PMCID: PMC9307532 DOI: 10.1007/s11154-021-09701-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/02/2021] [Indexed: 12/11/2022]
Abstract
Obesity is a worldwide disease associated with multiple severe adverse consequences and comorbid conditions. While an increased body weight is the defining feature in obesity, etiologies, clinical phenotypes and treatment responses vary between patients. These variations can be observed within individual treatment options which comprise lifestyle interventions, pharmacological treatment, and bariatric surgery. Bariatric surgery can be regarded as the most effective treatment method. However, long-term weight regain is comparably frequent even for this treatment and its application is not without risk. A prognostic tool that would help predict the effectivity of the individual treatment methods in the long term would be essential in a personalized medicine approach. In line with this objective, an increasing number of studies have combined neuroimaging and computational modeling to predict treatment outcome in obesity. In our review, we begin by outlining the central nervous mechanisms measured with neuroimaging in these studies. The mechanisms are primarily related to reward-processing and include "incentive salience" and psychobehavioral control. We then present the diverse neuroimaging methods and computational prediction techniques applied. The studies included in this review provide consistent support for the importance of incentive salience and psychobehavioral control for treatment outcome in obesity. Nevertheless, further studies comprising larger sample sizes and rigorous validation processes are necessary to answer the question of whether or not the approach is sufficiently accurate for clinical real-world application.
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Affiliation(s)
- Leonard Kozarzewski
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Clinic of Endocrinology, Diabetes and Metabolism, 10117, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité Center for Cardiovascular Research, 10117, Berlin, Germany
| | - Lukas Maurer
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Clinic of Endocrinology, Diabetes and Metabolism, 10117, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité Center for Cardiovascular Research, 10117, Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, 10117, Berlin, Germany
| | - Anja Mähler
- Max Delbrück Center for Molecular Medicine and Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Experimental and Clinical Research Center (ECRC), 13125, Berlin, Germany
- DZHK (German Center for Cardiovascular Research), partner site Berlin, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, NeuroCure Clinical Research Center, 10117, Berlin, Germany
| | - Joachim Spranger
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Clinic of Endocrinology, Diabetes and Metabolism, 10117, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité Center for Cardiovascular Research, 10117, Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, 10117, Berlin, Germany
- DZHK (German Center for Cardiovascular Research), partner site Berlin, Berlin, Germany
| | - Martin Weygandt
- Max Delbrück Center for Molecular Medicine and Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Experimental and Clinical Research Center (ECRC), 13125, Berlin, Germany.
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, NeuroCure Clinical Research Center, 10117, Berlin, Germany.
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8
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Zhang P, Wu GW, Tang LR, Yu FX, Li MY, Wang Z, Yang ZH, Zhang ZT, Lv H, Liu Y, Wang ZC. Altered Brain Structural Reorganization and Hierarchical Integrated Processing in Obesity. Front Neurosci 2022; 16:796792. [PMID: 35368267 PMCID: PMC8971659 DOI: 10.3389/fnins.2022.796792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Accepted: 02/01/2022] [Indexed: 11/17/2022] Open
Abstract
The brain receives sensory information about food, evaluates its desirability and value, and responds with approach or withdrawal. The evaluation process of food in the brain with obesity may involve a variety of neurocircuit abnormalities in the integration of internal and external information processing. There is a lack of consistency of the results extant reported for aberrant changes in the brain with obesity that prohibits key brain alterations to be identified. Moreover, most studies focus on the observation of neural plasticity of function or structure, and the evidence for functional and structural correlations in the neuronal plasticity process of obesity is still insufficient. The aims of this article are to explore the key neural structural regions and the hierarchical activity pattern of key structural nodes and evaluate the correlation between changes in functional modulation and eating behavior. Forty-two participants with obesity and 33 normal-weight volunteers were recruited. Gray matter volume (GMV) and Granger causality analysis (GCA) were performed using the DPARSF, CAT12, and DynamicBC toolbox. Compared with the normal weight group, the obesity group exhibited significantly increased GMV in the left parahippocampal gyrus (PG). The obesity group showed decreased causal inflow to the left PG from the left orbitofrontal cortex (OFC), right calcarine, and bilateral supplementary motor area (SMA). Decreased causal outflow to the left OFC, right precuneus, and right SMA from the left PG, as well as increased causal outflow to the left middle occipital gyrus (MOG) were observed in the obesity group. Negative correlations were found between DEBQ-External scores and causal outflow from the left PG to the left OFC, and DEBQ-Restraint scores and causal inflow from the left OFC to the left PG in the obesity group. Positive correlation was found between DEBQ-External scores and causal outflow from the left PG to the left MOG. These results show that the increased GMV in the PG may play an important role in obesity, which may be related to devalued reward system, altered behavioral inhibition, and the disengagement of attentional and visual function for external signals. These findings have important implications for understanding neural mechanisms in obesity and developing individual-tailored strategies for obesity prevention.
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Affiliation(s)
- Peng Zhang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Guo-wei Wu
- Chinese Institute for Brain Research, Beijing, China
| | - Li-rong Tang
- Department of Clinical Psychology Center, Beijing Anding Hospital, Capital Medical University and National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders, Beijing, China
| | - Feng-xia Yu
- Medical Imaging Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Meng-yi Li
- Department of General Surgery, Beijing Friendship Hospital, Capital Medical University and National Clinical Research Center for Digestive Diseases, Beijing, China
| | - Zheng Wang
- 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 and National Clinical Research Center for Digestive Diseases, Beijing, China
| | - Han Lv
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
- *Correspondence: Han Lv,
| | - Yang Liu
- Department of General Surgery, Beijing Friendship Hospital, Capital Medical University and National Clinical Research Center for Digestive Diseases, Beijing, China
- Yang Liu,
| | - Zhen-chang Wang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
- Zhen-chang Wang,
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