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Navarro MDC, Gálvez I, Hinchado MD, Otero E, Torres-Piles S, Francisco-Morcillo J, de La Fuente M, Martín-Cordero L, Ortega E. Immunoneuroendocrine, Stress, Metabolic, and Behavioural Responses in High-Fat Diet-Induced Obesity. Nutrients 2024; 16:2209. [PMID: 39064652 PMCID: PMC11279988 DOI: 10.3390/nu16142209] [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: 06/13/2024] [Revised: 07/02/2024] [Accepted: 07/08/2024] [Indexed: 07/28/2024] Open
Abstract
Obesity has reached global epidemic proportions, and even though its effects are well-documented, studying the interactions among all influencing factors is crucial for a better understanding of its physiopathology. In a high-fat-diet-induced obesity animal model using C57BL/6J mice, behavioural responses were assessed through a battery of tests, while stress biomarkers and systemic inflammatory cytokines were measured using an Enzyme-Linked ImmunoSorbent Assay and a Bio-Plex Multiplex System. The peritoneal macrophage microbicide capacity was analysed via flow cytometry, and crown-like structures (CLSs) in white adipose tissue (WAT) were evaluated through staining techniques. Results indicated that obese mice exhibited increased body weight, hyperglycaemia, and hyperlipidaemia after 18 weeks on a high-fat diet, as well as worse physical conditions, poorer coordination and balance, and anxiety-like behaviour. Differences in corticosterone and noradrenaline concentrations were also found in obese animals, revealing a stress response and noradrenergic dysregulation, along with a weakened innate immune response characterized by a lower microbicide capacity, and the presence of an underlying inflammation evidenced by more CLSs in WAT. Altogether, these findings indicate that obesity deteriorates the entire stress, inflammatory, metabolic, sensorimotor and anxiety-like behavioural axis. This demonstrates that jointly evaluating all these aspects allows for a deeper and better exploration of this disease and its associated comorbidities, emphasizing the need for individualized and context-specific strategies for its management.
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Affiliation(s)
- María del Carmen Navarro
- Immunophyisiology Research Group, Instituto Universitario de Investigación Biosanitaria de Extremadura (INUBE), 06071 Badajoz, Spain; (M.d.C.N.); (I.G.); (M.D.H.); (E.O.)
- Immunophysiology Research Group, Physiology Department, Faculty of Sciences, University of Extremadura, 06071 Badajoz, Spain
| | - Isabel Gálvez
- Immunophyisiology Research Group, Instituto Universitario de Investigación Biosanitaria de Extremadura (INUBE), 06071 Badajoz, Spain; (M.d.C.N.); (I.G.); (M.D.H.); (E.O.)
- Immunophysiology Research Group, Nursing Department, Faculty of Medicine and Health Sciences, University of Extremadura, 06071 Badajoz, Spain
| | - María Dolores Hinchado
- Immunophyisiology Research Group, Instituto Universitario de Investigación Biosanitaria de Extremadura (INUBE), 06071 Badajoz, Spain; (M.d.C.N.); (I.G.); (M.D.H.); (E.O.)
- Immunophysiology Research Group, Physiology Department, Faculty of Sciences, University of Extremadura, 06071 Badajoz, Spain
| | - Eduardo Otero
- Immunophyisiology Research Group, Instituto Universitario de Investigación Biosanitaria de Extremadura (INUBE), 06071 Badajoz, Spain; (M.d.C.N.); (I.G.); (M.D.H.); (E.O.)
- Immunophysiology Research Group, Physiology Department, Faculty of Sciences, University of Extremadura, 06071 Badajoz, Spain
| | - Silvia Torres-Piles
- Immunophysiology Research Group, Department of Medical-Surgical Therapy, Faculty of Medicine, University of Extremadura, 06071 Badajoz, Spain;
| | - Javier Francisco-Morcillo
- Anatomy, Cell Biology and Zoology Department, Faculty of Sciences, University of Extremadura, 06071 Badajoz, Spain;
| | - Mónica de La Fuente
- Unit of Animal Physiology, Department of Genetics, Physiology, and Microbiology, Faculty of Biology, Complutense University of Madrid, 28040 Madrid, Spain;
| | - Leticia Martín-Cordero
- Immunophyisiology Research Group, Instituto Universitario de Investigación Biosanitaria de Extremadura (INUBE), 06071 Badajoz, Spain; (M.d.C.N.); (I.G.); (M.D.H.); (E.O.)
- Immunophysiology Research Group, Nursing Department, University Center of Plasencia, University of Extremadura, 10600 Plasencia, Spain
| | - Eduardo Ortega
- Immunophyisiology Research Group, Instituto Universitario de Investigación Biosanitaria de Extremadura (INUBE), 06071 Badajoz, Spain; (M.d.C.N.); (I.G.); (M.D.H.); (E.O.)
- Immunophysiology Research Group, Physiology Department, Faculty of Sciences, University of Extremadura, 06071 Badajoz, Spain
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Li J, Sun J, Zhang Y, Zhang B, Zhou L. Association between weight-adjusted-waist index and cognitive decline in US elderly participants. Front Nutr 2024; 11:1390282. [PMID: 38903624 PMCID: PMC11187255 DOI: 10.3389/fnut.2024.1390282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Accepted: 05/16/2024] [Indexed: 06/22/2024] Open
Abstract
Objective To investigate the association between the weight-adjusted-waist index (WWI) and cognitive decline in elderly Americans from 2011 to 2014. Methods A cross-sectional study was conducted on 2,762 elderly participants from the National Health and Nutrition Examination (NHANES) between 2011 and 2014. WWI was calculated by dividing waist circumference (cm) by the square root of body weight (kg). Participants assessed their cognitive functions using tests such as the DSST, AFT, and CERAD W-L. In this research, multiple logistic regression, HIA, limited cubic spline (RCS), and threshold effect analysis methods were utilized to explore the relationship between cognitive decline and WWI. Results The study involved 2,762 participants aged 60 years and older, comprising 1,353 males (49%) and 1,409 females (51%), with a median age of 69.3 years (standard deviation = 6.7). The analysis revealed that the risk of cognitive decline was positively associated with the WWI. Fully adjusted models indicated significant correlations with the CERAD W-L [odds ratio (OR) = 1.24, 95% confidence interval (CI) = 1.06-1.46, p < 0.008], AFT (OR = 1.27, 95% CI = 1.08-1.49, p = 0.003), and DSST (OR = 1.56, 95% CI = 1.29-1.9, p < 0.001). Subgroup analysis demonstrated a consistent relationship across different population settings except for gender (average of interactions, p > 0.05). A J-shaped relationship between WWI and low DSST scores was observed using multivariate restricted cubic spline (RCS) regression (P for non-linearity <0.05), with the curve steepening when WWI ≥ 12.21 cm/√kg. Additionally, the study found that WWI was more strongly associated with an increased risk of cognitive decline than other obesity indicators such as Body Mass Index (BMI), waist circumference (WC), and A Body Shape Index (ABSI). Conclusion Our data have shown a significant positive association between the WWI and a higher risk of cognitive decline in older Americans, with a J-shaped non-linear relationship between WWI and DSST. In addition, our findings indicate that WWI was associated with greater cognitive decline than other markers of obesity.
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Affiliation(s)
| | | | | | | | - Liya Zhou
- Changchun University of Chinese Medicine, Changchun, China
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Vázquez-de Sebastián J, Ortiz-Zuñiga AM, Ciudin A, Ars J, Inzitari M, Simó R, Hernández C, Ariño-Blasco S, Barahona MJ, Franco M, Gironès X, Crespo-Maraver MC, Rovira JC, Castellano-Tejedor C. Cognitive Profile and Cardiovascular Risk Factors in Older Adults with Mild Cognitive Impairment. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:500. [PMID: 38673411 PMCID: PMC11050679 DOI: 10.3390/ijerph21040500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 04/11/2024] [Accepted: 04/15/2024] [Indexed: 04/28/2024]
Abstract
The prevalence of cardiovascular risk factors (CVRFs) in the older adults population and their specific impact on their cognitive profiles still requires further research. For this purpose, a cross-sectional study was carried out to describe the presence of CVRFs and their association with cognitive performance in a sample of older adults (65-85 years old) with Mild Cognitive Impairment (MCI). Participants (n = 185) were divided into three groups concerning their cardiovascular risk level determined by the presence of different CVRFs, including Type 2 Diabetes (T2D), dyslipidemia, hypertension, and obesity. The primary outcome measures were the participant's scores in the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). Sociodemographic, clinical, and psychosocial data were collected. Non-parametrical statistical analyses and effect sizes were calculated. Findings revealed that a greater presence of CVRFs was not associated with a worse overall cognitive performance. High-risk patients were more likely to have significantly worse performance in the attentional domain compared to medium-risk (p = 0.029, r = 0.42) and compared to low-risk (p = 0.041, r = 0.35), specifically in the digits repetition subtest (p = 0.042). T2D alone was the CVRF associated with cognitive differences (p = 0.037, r = 0.32), possibly mediated by the duration of the condition. Consequently, a higher presence of CVRFs did not lead to a worse overall cognitive performance. However, high-risk individuals were more likely to experience cognitive impairment, particularly in the attentional domain. T2D played a significant role in these cognitive profile differences, possibly influenced by its duration.
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Affiliation(s)
- Julia Vázquez-de Sebastián
- Facultat de Psicologia, Universitat Autònoma de Barcelona (UAB), 08192 Barcelona, Spain
- RE-FiT Barcelona Research Group, Vall d’Hebron Institute of Research & Parc Sanitari Pere Virgili (VHIR-PSPV), 08023 Barcelona, Spain (C.C.-T.)
- Vall d’Hebron Research Institute, Universitat Autònoma de Barcelona (VHIR-UAB), 08035 Barcelona, Spain
| | - Angel M. Ortiz-Zuñiga
- Vall d’Hebron Research Institute, Universitat Autònoma de Barcelona (VHIR-UAB), 08035 Barcelona, Spain
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III Spain & Endocrinology Department, University Hospital Vall d’Hebron, 08035 Barcelona, Spain
| | - Andreea Ciudin
- Vall d’Hebron Research Institute, Universitat Autònoma de Barcelona (VHIR-UAB), 08035 Barcelona, Spain
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III Spain & Endocrinology Department, University Hospital Vall d’Hebron, 08035 Barcelona, Spain
| | - Joan Ars
- RE-FiT Barcelona Research Group, Vall d’Hebron Institute of Research & Parc Sanitari Pere Virgili (VHIR-PSPV), 08023 Barcelona, Spain (C.C.-T.)
- Medicine Department, Universitat Autònoma de Barcelona (UAB), 08192 Bellaterra, Spain
| | - Marco Inzitari
- RE-FiT Barcelona Research Group, Vall d’Hebron Institute of Research & Parc Sanitari Pere Virgili (VHIR-PSPV), 08023 Barcelona, Spain (C.C.-T.)
- Faculty of Health Sciences, Universitat Oberta de Catalunya (UOC), 08018 Barcelona, Spain
| | - Rafael Simó
- Vall d’Hebron Research Institute, Universitat Autònoma de Barcelona (VHIR-UAB), 08035 Barcelona, Spain
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III Spain & Endocrinology Department, University Hospital Vall d’Hebron, 08035 Barcelona, Spain
| | - Cristina Hernández
- Vall d’Hebron Research Institute, Universitat Autònoma de Barcelona (VHIR-UAB), 08035 Barcelona, Spain
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III Spain & Endocrinology Department, University Hospital Vall d’Hebron, 08035 Barcelona, Spain
| | - Sergio Ariño-Blasco
- Geriatric Service, Fundació Privada Hospital Asil de Granollers (FPHAG), 08402 Barcelona, Spain
| | - María José Barahona
- Endocrinology Service, Hospital Universitari Mutua Terrassa (HUMT), 08221 Terrassa, Spain
| | - Maite Franco
- Consorci Sanitari de Terrassa (CST), 08227 Terrassa, Spain
| | - Xavier Gironès
- Faculty of Health Sciences (UM-FUB), University of Vic-Central University of Catalonia, 08500 Vic, Spain
| | | | - Joan Carles Rovira
- Consorci Hospitalari de Vic (University Hospital of Vic), 08500 Vic, Spain
| | - Carmina Castellano-Tejedor
- RE-FiT Barcelona Research Group, Vall d’Hebron Institute of Research & Parc Sanitari Pere Virgili (VHIR-PSPV), 08023 Barcelona, Spain (C.C.-T.)
- GIES Research Group, Basic Psychology Department, Universitat Autònoma de Barcelona (UAB), 08192 Bellaterra, Spain
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Orellana SC, Bethlehem RAI, Simpson-Kent IL, van Harmelen AL, Vértes PE, Bullmore ET. Childhood maltreatment influences adult brain structure through its effects on immune, metabolic, and psychosocial factors. Proc Natl Acad Sci U S A 2024; 121:e2304704121. [PMID: 38593073 PMCID: PMC11032474 DOI: 10.1073/pnas.2304704121] [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: 04/13/2023] [Accepted: 02/16/2024] [Indexed: 04/11/2024] Open
Abstract
Childhood maltreatment (CM) leads to a lifelong susceptibility to mental ill-health which might be reflected by its effects on adult brain structure, perhaps indirectly mediated by its effects on adult metabolic, immune, and psychosocial systems. Indexing these systemic factors via body mass index (BMI), C-reactive protein (CRP), and rates of adult trauma (AT), respectively, we tested three hypotheses: (H1) CM has direct or indirect effects on adult trauma, BMI, and CRP; (H2) adult trauma, BMI, and CRP are all independently related to adult brain structure; and (H3) childhood maltreatment has indirect effects on adult brain structure mediated in parallel by BMI, CRP, and AT. Using path analysis and data from N = 116,887 participants in UK Biobank, we find that CM is related to greater BMI and AT levels, and that these two variables mediate CM's effects on CRP [H1]. Regression analyses on the UKB MRI subsample (N = 21,738) revealed that greater CRP and BMI were both independently related to a spatially convergent pattern of cortical effects (Spearman's ρ = 0.87) characterized by fronto-occipital increases and temporo-parietal reductions in thickness. Subcortically, BMI was associated with greater volume, AT with lower volume and CPR with effects in both directions [H2]. Finally, path models indicated that CM has indirect effects in a subset of brain regions mediated through its direct effects on BMI and AT and indirect effects on CRP [H3]. Results provide evidence that childhood maltreatment can influence brain structure decades after exposure by increasing individual risk toward adult trauma, obesity, and inflammation.
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Affiliation(s)
- Sofia C. Orellana
- Department of Psychiatry, University of Cambridge, CambridgeCB2 0SZ, United Kingdom
| | - Richard A. I. Bethlehem
- Department of Psychiatry, University of Cambridge, CambridgeCB2 0SZ, United Kingdom
- Department of Psychology, University of Cambridge, CambridgeCB2 3EB, United Kingdom
| | - Ivan L. Simpson-Kent
- Institute of Psychology, Leiden University, Leiden2333AK, The Netherlands
- Medical Research Council Cognition and Brain Sciences Unit, University of Cambridge, CambridgeCB2 7EF, United Kingdom
- Department of Psychology, University of Pennsylvania, Philadelphia, PA19104-6241
| | - Anne-Laura van Harmelen
- Department of Psychiatry, University of Cambridge, CambridgeCB2 0SZ, United Kingdom
- Institute of Education and Child Studies, Leiden University, Leiden2333AK, The Netherlands
| | - Petra E. Vértes
- Department of Psychiatry, University of Cambridge, CambridgeCB2 0SZ, United Kingdom
| | - Edward T. Bullmore
- Department of Psychiatry, University of Cambridge, CambridgeCB2 0SZ, United Kingdom
- Cambridgeshire & Peterborough NHS Foundation Trust, CambridgeCB21 5EF, United Kingdom
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Tang J, Xu H, Xin Z, Mei Q, Gao M, Yang T, Zhang X, Levy D, Liu CT. Identifying BMI-associated genes via a genome-wide multi-omics integrative approach using summary data. Hum Mol Genet 2024; 33:733-738. [PMID: 38215789 PMCID: PMC11000658 DOI: 10.1093/hmg/ddad212] [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: 10/05/2023] [Revised: 11/30/2023] [Accepted: 12/19/2023] [Indexed: 01/14/2024] Open
Abstract
OBJECTIVE This study aims to identify BMI-associated genes by integrating aggregated summary information from different omics data. METHODS We conducted a meta-analysis to leverage information from a genome-wide association study (n = 339 224), a transcriptome-wide association study (n = 5619), and an epigenome-wide association study (n = 3743). We prioritized the significant genes with a machine learning-based method, netWAS, which borrows information from adipose tissue-specific interaction networks. We also used the brain-specific network in netWAS to investigate genes potentially involved in brain-adipose interaction. RESULTS We identified 195 genes that were significantly associated with BMI through meta-analysis. The netWAS analysis narrowed down the list to 21 genes in adipose tissue. Among these 21 genes, six genes, including FUS, STX4, CCNT2, FUBP1, NDUFS3, and RAPSN, were not reported to be BMI-associated in PubMed or GWAS Catalog. We also identified 11 genes that were significantly associated with BMI in both adipose and whole brain tissues. CONCLUSION This study integrated three types of omics data and identified a group of genes that have not previously been reported to be associated with BMI. This strategy could provide new insights for future studies to identify molecular mechanisms contributing to BMI regulation.
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Affiliation(s)
- Jingxian Tang
- Department of Biostatistics, Boston University School of Public Health, 801 Massachusetts Ave, Boston, MA 02118, United States
| | - Hanfei Xu
- Department of Biostatistics, Boston University School of Public Health, 801 Massachusetts Ave, Boston, MA 02118, United States
| | - Zihao Xin
- Department of Biostatistics, Boston University School of Public Health, 801 Massachusetts Ave, Boston, MA 02118, United States
| | - Quanshun Mei
- Department of Biostatistics, Boston University School of Public Health, 801 Massachusetts Ave, Boston, MA 02118, United States
| | - Musong Gao
- Department of Biostatistics, Boston University School of Public Health, 801 Massachusetts Ave, Boston, MA 02118, United States
| | - Tiantian Yang
- Department of Biostatistics, Boston University School of Public Health, 801 Massachusetts Ave, Boston, MA 02118, United States
| | - Xiaoyu Zhang
- Department of Biostatistics, Boston University School of Public Health, 801 Massachusetts Ave, Boston, MA 02118, United States
| | - Daniel Levy
- Framingham Heart Study, National Heart, Lung, and Blood Institute’s Framingham Heart Study, 73 Mt Wayte Ave, Framingham, MA, United States
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, 9000 Rockville Pike, Bethesda, MD, United States
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, 801 Massachusetts Ave, Boston, MA 02118, United States
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Jamka M, Chrobot M, Jaworska N, Brylak J, Makarewicz-Bukowska A, Popek J, Janicka A, Walkowiak J. Comparison of Eating Habits, Body Composition and Densitometric Parameters between Subjects with Normal Cognitive Function and Mild Cognitive Impairment: An Observational Study. Nutrients 2024; 16:644. [PMID: 38474772 PMCID: PMC10934958 DOI: 10.3390/nu16050644] [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: 01/13/2024] [Revised: 02/16/2024] [Accepted: 02/23/2024] [Indexed: 03/14/2024] Open
Abstract
The role of nutrition in the ageing process of the brain is pivotal. Therefore, the study aimed to compare eating habits, body composition and densitometric parameters between subjects with normal cognitive function (NCF) and mild cognitive impairment (MCI). A total of 95 subjects with NCF (74% of women) and 95 individuals with MCI (77% of women) aged 50-70 years were studied. Densitometric parameters were evaluated using dual-energy X-ray absorptiometry methods. Eating habits were assessed using the food frequency questionnaire and 3-day diary records, and advanced glycation end products (AGEs) intake was calculated. Significant differences between groups were detected for the %fat in the right arm (NCF vs. MCI: 38.4 (30.4-46.8) vs. 43.5 (35.5-49.2)%, p = 0.0407). Moreover, the MCI group had a significantly lower intake of calcium (p = 0.0010), phosphor (p = 0.0411), vitamins B2 (p = 0.0138) and B12 (p = 0.0024) compared to the NCF group, with both groups also differing in the frequency of butter (p = 0.0191) and fermented milk beverages (p = 0.0398) intake. Analysis restricted to women showed significant differences between groups in right arm %fat, VAT mass, calcium, vitamins B2, B12, butter and fermented milk products intake, while in men, differences were detected in the intake of calcium, iodine, vitamin B1, water and AGEs. In conclusion, subjects with NCF and MCI have comparable densitometric variables but differ significantly in some body composition parameters and the intake of some food groups and nutrients.
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Affiliation(s)
| | | | | | | | | | | | | | - Jarosław Walkowiak
- Department of Pediatric Gastroenterology and Metabolic Diseases, Poznan University of Medical Sciences, Szpitalna Str. 27/33, 60-572 Poznań, Poland; (M.J.); (M.C.); (N.J.); (J.B.); (A.M.-B.); (J.P.); (A.J.)
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Ijaz N, Jamil Y, Brown CH, Krishnaswami A, Orkaby A, Stimmel MB, Gerstenblith G, Nanna MG, Damluji AA. Role of Cognitive Frailty in Older Adults With Cardiovascular Disease. J Am Heart Assoc 2024; 13:e033594. [PMID: 38353229 PMCID: PMC11010094 DOI: 10.1161/jaha.123.033594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 12/19/2023] [Indexed: 02/21/2024]
Abstract
As the older adult population expands, an increasing number of patients affected by geriatric syndromes are seen by cardiovascular clinicians. One such syndrome that has been associated with poor outcomes is cognitive frailty: the simultaneous presence of cognitive impairment, without evidence of dementia, and physical frailty, which results in decreased cognitive reserve. Driven by common pathophysiologic underpinnings (eg, inflammation and neurohormonal dysregulation), cardiovascular disease, cognitive impairment, and frailty also share the following risk factors: hypertension, diabetes, obesity, sedentary behavior, and tobacco use. Cardiovascular disease has been associated with the onset and progression of cognitive frailty, which may be reversible in early stages, making it essential for clinicians to diagnose the condition in a timely manner and prescribe appropriate interventions. Additional research is required to elucidate the mechanisms underlying the development of cognitive frailty, establish preventive and therapeutic strategies to address the needs of older patients with cardiovascular disease at risk for cognitive frailty, and ultimately facilitate targeted intervention studies.
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Affiliation(s)
- Naila Ijaz
- Thomas Jefferson University HospitalPhiladelphiaPAUSA
| | - Yasser Jamil
- Yale University School of MedicineNew HavenCTUSA
| | | | | | - Ariela Orkaby
- New England GRECC, VA Boston Healthcare SystemBostonMAUSA
- Division of AgingBrigham & Women’s Hospital, Harvard Medical SchoolBostonMAUSA
| | | | | | | | - Abdulla A. Damluji
- Johns Hopkins University School of MedicineBaltimoreMDUSA
- The Inova Center of Outcomes ResearchInova Heart and Vascular InstituteFalls ChurchVAUSA
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Lin S, Jiang L, Wei K, Yang J, Cao X, Li C. Sex-Specific Association of Body Mass Index with Hippocampal Subfield Volume and Cognitive Function in Non-Demented Chinese Older Adults. Brain Sci 2024; 14:170. [PMID: 38391744 PMCID: PMC10887390 DOI: 10.3390/brainsci14020170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 01/28/2024] [Accepted: 02/01/2024] [Indexed: 02/24/2024] Open
Abstract
Recent research suggests a possible association between midlife obesity and an increased risk of dementia in later life. However, the underlying mechanisms remain unclear. Little is known about the relationship between body mass index (BMI) and hippocampal subfield atrophy. In this study, we aimed to explore the associations between BMI and hippocampal subfield volumes and cognitive function in non-demented Chinese older adults. Hippocampal volumes were assessed using structural magnetic resonance imaging. Cognitive function was evaluated using the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). A total of 66 participants were included in the final analysis, with 35 females and 31 males. We observed a significant correlation between BMI and the hippocampal fissure volume in older females. In addition, there was a negative association between BMI and the RBANS total scale score, the coding score, and the story recall score, whereas no significant correlations were observed in older males. In conclusion, our findings revealed sex-specific associations between BMI and hippocampal subfield volumes and cognitive performance, providing valuable insights into the development of effective interventions for the early prevention of cognitive decline.
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Affiliation(s)
- Shaohui Lin
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
- Department of Geriatrics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
| | - Lijuan Jiang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Kai Wei
- Department of Traditional Chinese Medicine, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 201108, China
- Shanghai Institute of Traditional Chinese Medicine for Mental Health, Shanghai 201108, China
| | - Junjie Yang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Xinyi Cao
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
- Clinical Neurocognitive Research Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Chunbo Li
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
- Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai 200030, China
- CAS Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Sciences, Shanghai 200030, China
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Roy A. Association Between Body Mass Index and Cognitive Function Among Older Adults in India: Findings from a Cross-Sectional Study. Exp Aging Res 2024; 50:102-116. [PMID: 36701477 DOI: 10.1080/0361073x.2023.2171686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Accepted: 01/13/2023] [Indexed: 01/27/2023]
Abstract
OBJECTIVE The study aimed to explore the association between body mass index (BMI) and cognitive function among older adults in India. METHODS Cross-sectional data on 21,000 older adults aged 60 years and older from the first wave of the Longitudinal Ageing Study of India (LASI), conducted in India during 2017-18, were used. Bivariate analysis and multivariate linear regression models were applied. The cognition tests include memory, orientation, arithmetic function, executive function, and object naming. RESULTS The mean overall cognition score was 24.6 in the study population. Further, BMI status showed a significant and positive association with cognition. The association of underweight with poor cognition (β=-0.72; 95% CI = -0.89, -0.54) whereas overweight (β = 0.57; 95% CI = 0.39, 0.75) and obese (β = 0.97; 95% CI = 0.68, 1.26) with better cognition remained statistically significant after adjusting for sociodemographic, health-related behavior, and health covariates. The mean cognition score of female older adults was always lower than male older adults with normal BMI, irrespective of their BMI categories. CONCLUSIONS This study shows that an underweight BMI is associated with poor cognition in both male and female older adults. In the context of providing health care for older individuals, underweight individuals should be given more attention in India.
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Affiliation(s)
- Alok Roy
- Department of Geography, Krishnagar Govt. College, Krishnanagar, WB, India
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Sader M, Waiter GD, Williams JHG. The cerebellum plays more than one role in the dysregulation of appetite: Review of structural evidence from typical and eating disorder populations. Brain Behav 2023; 13:e3286. [PMID: 37830247 PMCID: PMC10726807 DOI: 10.1002/brb3.3286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 09/14/2023] [Accepted: 09/29/2023] [Indexed: 10/14/2023] Open
Abstract
OBJECTIVE Dysregulated appetite control is characteristic of anorexia nervosa (AN), bulimia nervosa (BN), and obesity (OB). Studies using a broad range of methods suggest the cerebellum plays an important role in aspects of weight and appetite control, and is implicated in both AN and OB by reports of aberrant gray matter volume (GMV) compared to nonclinical populations. As functions of the cerebellum are anatomically segregated, specific localization of aberrant anatomy may indicate the mechanisms of its relationship with weight and appetite in different states. We sought to determine if there were consistencies in regions of cerebellar GMV changes in AN/BN and OB, as well as across normative (NOR) variation. METHOD Systematic review and meta-analysis using GingerALE. RESULTS Twenty-six publications were identified as either case-control studies (nOB = 277; nAN/BN = 510) or regressed weight from NOR data against brain volume (total n = 3830). AN/BN and OB analyses both showed consistently decreased GMV within Crus I and Lobule VI, but volume reduction was bilateral for AN/BN and unilateral for OB. Analysis of the NOR data set identified a cluster in right posterior lobe that overlapped with AN/BN cerebellar reduction. Sensitivity analyses indicated robust repeatability for NOR and AN/BN cohorts, but found OB-specific heterogeneity. DISCUSSION Findings suggest that more than one area of the cerebellum is involved in control of eating behavior and may be differentially affected in normal variation and pathological conditions. Specifically, we hypothesize an association with sensorimotor and emotional learning via Lobule VI in AN/BN, and executive function via Crus I in OB.
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Affiliation(s)
- Michelle Sader
- Biomedical Imaging CentreUniversity of AberdeenAberdeenUK
| | | | - Justin H. G. Williams
- Biomedical Imaging CentreUniversity of AberdeenAberdeenUK
- School of MedicineGriffith UniversityGold CoastQueenslandAustralia
- Gold Coast Mental Health and Specialist ServicesGold CoastQueenslandAustralia
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11
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Osiecka Z, Fausto BA, Gills JL, Sinha N, Malin SK, Gluck MA. Obesity reduces hippocampal structure and function in older African Americans with the APOE-ε4 Alzheimer's disease risk allele. Front Aging Neurosci 2023; 15:1239727. [PMID: 37731955 PMCID: PMC10507275 DOI: 10.3389/fnagi.2023.1239727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 08/15/2023] [Indexed: 09/22/2023] Open
Abstract
Introduction Excess body weight and Alzheimer's disease (AD) disproportionately affect older African Americans. While mid-life obesity increases risk for AD, few data exist on the relationship between late-life obesity and AD, or how obesity-based and genetic risk for AD interact. Although the APOE-ε4 allele confers a strong genetic risk for AD, it is unclear if late-life obesity poses a greater risk for APOE-ε4 carriers compared to non-carriers. Here we assessed: (1) the influence of body mass index (BMI) (normal; overweight; class 1 obese; ≥ class 2 obese) on cognitive and structural MRI measures of AD risk; and (2) the interaction between BMI and APOE-ε4 in older African Americans. Methods Seventy cognitively normal older African American participants (Mage = 69.50 years; MBMI = 31.01 kg/m2; 39% APOE-ε4 allele carriers; 86% female) completed anthropometric measurements, physical assessments, saliva collection for APOE-ε4 genotyping, cognitive testing, health and lifestyle questionnaires, and structural neuroimaging [volume/surface area (SA) for medial temporal lobe subregions and hippocampal subfields]. Covariates included age, sex, education, literacy, depressive symptomology, and estimated aerobic fitness. Results Using ANCOVAs, we observed that individuals who were overweight demonstrated better hippocampal cognitive function (generalization of learning: a sensitive marker of preclinical AD) than individuals with normal BMI, p = 0.016, ηp2 = 0.18. However, individuals in the obese categories who were APOE-ε4 non-carriers had larger hippocampal subfield cornu Ammonis region 1 (CA1) volumes, while those who were APOE-ε4 carriers had smaller CA1 volumes, p = 0.003, ηp2 = 0.23. Discussion Thus, being overweight by BMI standards may preserve hippocampal function, but obesity reduces hippocampal structure and function in older African Americans with the APOE-ε4 Alzheimer's disease risk allele.
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Affiliation(s)
- Zuzanna Osiecka
- Aging and Brain Health Alliance, Center for Molecular and Behavioral Neuroscience, Rutgers University–Newark, Newark, NJ, United States
| | - Bernadette A. Fausto
- Aging and Brain Health Alliance, Center for Molecular and Behavioral Neuroscience, Rutgers University–Newark, Newark, NJ, United States
| | - Joshua L. Gills
- Aging and Brain Health Alliance, Center for Molecular and Behavioral Neuroscience, Rutgers University–Newark, Newark, NJ, United States
| | - Neha Sinha
- Aging and Brain Health Alliance, Center for Molecular and Behavioral Neuroscience, Rutgers University–Newark, Newark, NJ, United States
| | - Steven K. Malin
- Department of Kinesiology and Health, School of Arts and Sciences, Rutgers University, New Brunswick, NJ, United States
| | - Mark A. Gluck
- Aging and Brain Health Alliance, Center for Molecular and Behavioral Neuroscience, Rutgers University–Newark, Newark, NJ, United States
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12
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Maturana‐Quijada P, Steward T, Vilarrasa N, Miranda‐Olivos R, Jiménez‐Murcia S, Carey HJ, Fernández‐Formoso J, Guerrero‐Perez F, Sánchez I, Custal N, Virgili N, Lopez‐Urdiales R, Soriano‐Mas C, Fernandez‐Aranda F. Dynamic fronto-amygdalar interactions underlying emotion-regulation deficits in women at higher weight. Obesity (Silver Spring) 2023; 31:2283-2293. [PMID: 37545191 PMCID: PMC10946850 DOI: 10.1002/oby.23830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 04/12/2023] [Accepted: 05/01/2023] [Indexed: 08/08/2023]
Abstract
OBJECTIVE The regulation of negative emotions entails the modulation of subcortical regions, such as the amygdala, by prefrontal regions. There is preliminary evidence suggesting that individuals at higher weight may present with hypoactivity in prefrontal regulatory systems during emotional regulation, although the directionality of these pathways has not been tested. In this study, we compared fronto-amygdalar effective connectivity during cognitive reappraisal as a function of BMI in 48 adult women with obesity and 54 control participants. METHODS Dynamic causal modeling and parametric empirical Bayes were used to map effective connectivity between the dorsomedial prefrontal cortex, orbitofrontal cortex, dorsolateral prefrontal cortex, and the amygdala. RESULTS Difficulty in Emotion Regulation Scale scores were higher in the obesity group compared with control participants (p < 0.001). A top-down cortical model best explained our functional magnetic resonance imaging data (posterior probability = 86%). Participants at higher BMI were less effective at inhibiting activity in the amygdala via the orbitofrontal cortex and dorsomedial prefrontal cortex during reappraisal compared with those at lower BMI. In contrast, increased excitatory modulation of dorsolateral prefrontal cortex-to-amygdalar connectivity was found in participants at lower BMI. CONCLUSIONS These findings support a framework involving alterations in fronto-amygdalar connectivity contributing to difficulties in regulating negative affect in individuals at higher weight.
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Affiliation(s)
- Pablo Maturana‐Quijada
- Psychiatry and Mental Health Group, Neuroscience ProgramInstitut d’ Investigació Biomèdica de Bellvitge (IDIBELL)BarcelonaSpain
| | - Trevor Steward
- Melbourne School of Psychological Sciences, Faculty of Medicine, Dentistry and Health SciencesUniversity of MelbourneParkvilleVictoriaAustralia
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, Faculty of Medicine, Dentistry and Health SciencesUniversity of MelbourneParkvilleVictoriaAustralia
| | - Nuria Vilarrasa
- Department of Endocrinology and NutritionBellvitge University Hospital–IDIBELLBarcelonaSpain
- CIBER Diabetes and Associated Metabolic Diseases (CIBERDEM)Instituto de Salud Carlos IIIBarcelonaSpain
| | - Romina Miranda‐Olivos
- Ciber Fisiopatología Obesidad y Nutrición (CIBERObn)Instituto Salud Carlos IIIBarcelonaSpain
- Psychoneurobiology of Eating and Addictive Behaviors Group, Neuroscience ProgramInstitut d' Investigacio Biomèdica de Bellvitge (IDIBELL)BarcelonaSpain
| | - Susana Jiménez‐Murcia
- Ciber Fisiopatología Obesidad y Nutrición (CIBERObn)Instituto Salud Carlos IIIBarcelonaSpain
- Psychoneurobiology of Eating and Addictive Behaviors Group, Neuroscience ProgramInstitut d' Investigacio Biomèdica de Bellvitge (IDIBELL)BarcelonaSpain
- Department of Clinical Sciences, School of Medicine and Health SciencesUniversity of BarcelonaBarcelonaSpain
- Clinical Psychology UnitBellvitge University Hospital‐IDIBELLBarcelonaSpain
| | - Holly J. Carey
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, Faculty of Medicine, Dentistry and Health SciencesUniversity of MelbourneParkvilleVictoriaAustralia
| | | | - Fernando Guerrero‐Perez
- Department of Endocrinology and NutritionBellvitge University Hospital–IDIBELLBarcelonaSpain
| | - Isabel Sánchez
- Ciber Fisiopatología Obesidad y Nutrición (CIBERObn)Instituto Salud Carlos IIIBarcelonaSpain
- Psychoneurobiology of Eating and Addictive Behaviors Group, Neuroscience ProgramInstitut d' Investigacio Biomèdica de Bellvitge (IDIBELL)BarcelonaSpain
- Clinical Psychology UnitBellvitge University Hospital‐IDIBELLBarcelonaSpain
| | - Nuria Custal
- Clinical Psychology UnitBellvitge University Hospital‐IDIBELLBarcelonaSpain
| | - Nuria Virgili
- Department of Endocrinology and NutritionBellvitge University Hospital–IDIBELLBarcelonaSpain
- CIBER Diabetes and Associated Metabolic Diseases (CIBERDEM)Instituto de Salud Carlos IIIBarcelonaSpain
| | - Rafael Lopez‐Urdiales
- Department of Endocrinology and NutritionBellvitge University Hospital–IDIBELLBarcelonaSpain
| | - Carles Soriano‐Mas
- Psychiatry and Mental Health Group, Neuroscience ProgramInstitut d’ Investigació Biomèdica de Bellvitge (IDIBELL)BarcelonaSpain
- Ciber Salud Mental (CIBERSAM)Instituto Salud Carlos IIIBarcelonaSpain
- Department of Social Psychology and Quantitative Psychology, School of PsychologyUniversity of BarcelonaBarcelonaSpain
| | - Fernando Fernandez‐Aranda
- Ciber Fisiopatología Obesidad y Nutrición (CIBERObn)Instituto Salud Carlos IIIBarcelonaSpain
- Psychoneurobiology of Eating and Addictive Behaviors Group, Neuroscience ProgramInstitut d' Investigacio Biomèdica de Bellvitge (IDIBELL)BarcelonaSpain
- Department of Clinical Sciences, School of Medicine and Health SciencesUniversity of BarcelonaBarcelonaSpain
- Clinical Psychology UnitBellvitge University Hospital‐IDIBELLBarcelonaSpain
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13
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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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14
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Kassir R, Gimet P, Hupin D, Boutet C, Barthélémy JC, Roche F, Celle S. Brain alterations associated with overweight evaluated by body mass index or body fat index in an elderly population: the PROOF study. Front Endocrinol (Lausanne) 2023; 14:1148068. [PMID: 37334288 PMCID: PMC10273264 DOI: 10.3389/fendo.2023.1148068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 05/10/2023] [Indexed: 06/20/2023] Open
Abstract
Background/objectives Obesity is a complex health issue in which the brain plays a role yet to be determined, especially in the elderly. Indeed, in the ageing population, the balance between fat and lean mass is different; thus, the co-influence between the brain and obesity may differ between the elderly and younger subjects. Our main goal is thus to explore the relationship between the brain and obesity using two different approaches to measure obesity: body mass index (BMI) and an index centred on fat mass, the body fat index (BFI). Subjects/methods Among the 1,011 subjects of the PROOF population, 273 subjects aged 75 years underwent 3D magnetic resonance imaging as well as dual-energy X-ray absorptiometry to assess fat mass. Voxel-based morphometry was used to explore the local differences in brain volume with obesity. Results Higher BMI and BFI were associated with higher grey matter (GM) volume in the left cerebellum. Higher BMI and BFI were mainly associated with higher white matter volume in the left and right cerebellum and near the right medial orbital gyrus. Higher BMI was also associated with higher GM volume in the brainstem, whereas higher BFI was associated with higher GM volume in the left middle temporal gyrus. No decrease in white matter was associated with BMI or BFI. Conclusion In the elderly, the relationship between the brain and obesity does not depend on the marker of obesity. Supra-tentorial brain structures seem to be slightly associated with obesity, whereas the cerebellum seems to be one of the key structures related to obesity.
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Affiliation(s)
- Radwan Kassir
- Department of Digestive Surgery, CHU Félix Guyon, Saint Denis, Saint-Étienne, France
| | - Pierre Gimet
- Physiologie Clinique et de l’Exercice, CHU Saint-Étienne, Saint-Étienne, France
- Université Jean Monnet, INSERM, U 1059 SAINBIOSE, Mines Saint-Étienne, Saint-Étienne, France
| | - David Hupin
- Physiologie Clinique et de l’Exercice, CHU Saint-Étienne, Saint-Étienne, France
- Université Jean Monnet, INSERM, U 1059 SAINBIOSE, Mines Saint-Étienne, Saint-Étienne, France
| | - Claire Boutet
- TAPE Research Unit, EA 7423, Université Jean Monnet, CHU Saint-Étienne, Service de Radiologie, Saint-Étienne, France
| | - Jean-Claude Barthélémy
- Physiologie Clinique et de l’Exercice, CHU Saint-Étienne, Saint-Étienne, France
- Université Jean Monnet, INSERM, U 1059 SAINBIOSE, Mines Saint-Étienne, Saint-Étienne, France
| | - Frédéric Roche
- Physiologie Clinique et de l’Exercice, CHU Saint-Étienne, Saint-Étienne, France
- Université Jean Monnet, INSERM, U 1059 SAINBIOSE, Mines Saint-Étienne, Saint-Étienne, France
| | - Sébastien Celle
- Physiologie Clinique et de l’Exercice, CHU Saint-Étienne, Saint-Étienne, France
- Université Jean Monnet, INSERM, U 1059 SAINBIOSE, Mines Saint-Étienne, Saint-Étienne, France
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15
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Bucci M, Iozzo P, Merisaari H, Huovinen V, Lipponen H, Räikkönen K, Parkkola R, Salonen M, Sandboge S, Eriksson JG, Nummenmaa L, Nuutila P. Resistance Training Increases White Matter Density in Frail Elderly Women. J Clin Med 2023; 12:jcm12072684. [PMID: 37048767 PMCID: PMC10094827 DOI: 10.3390/jcm12072684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Revised: 03/23/2023] [Accepted: 04/01/2023] [Indexed: 04/07/2023] Open
Abstract
We aimed to investigate the effects of maternal obesity on brain structure and metabolism in frail women, and their reversibility in response to exercise. We recruited 37 frail elderly women (20 offspring of lean/normal-weight mothers (OLM) and 17 offspring of obese/overweight mothers (OOM)) and nine non-frail controls to undergo magnetic resonance and diffusion tensor imaging (DTI), positron emission tomography with Fluorine-18-fluorodeoxyglucose (PET), and cognitive function tests (CERAD). Frail women were studied before and after a 4-month resistance training, and controls were studied once. White matter (WM) density (voxel-based morphometry) was higher in OLM than in OOM subjects. Exercise increased WM density in both OLM and OOM in the cerebellum in superior parietal regions in OLM and in cuneal and precuneal regions in OOM. OLM gained more WM density than OOM in response to intervention. No significant results were found from the Freesurfer analysis, nor from PET or DTI images. Exercise has an impact on brain morphology and cognition in elderly frail women.
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Affiliation(s)
- Marco Bucci
- Turku PET Centre, University of Turku, 20520 Turku, Finland
- Theme Inflammation and Aging, Karolinska University Hospital, 141 86 Huddinge, Sweden
- Department of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics, Center for Alzheimer Research, Karolinska University, 171 77 Stockholm, Sweden
| | - Patricia Iozzo
- Institute of Clinical Physiology, National Research Council, 56124 Pisa, Italy
| | - Harri Merisaari
- Department of Radiology, Turku University Hospital, University of Turku, 20014 Turku, Finland
- Turku Brain and Mind Center, University of Turku, 20014 Turku, Finland
| | - Ville Huovinen
- Turku PET Centre, University of Turku, 20520 Turku, Finland
- Department of Radiology, Turku University Hospital, University of Turku, 20014 Turku, Finland
| | - Heta Lipponen
- Turku PET Centre, University of Turku, 20520 Turku, Finland
| | - Katri Räikkönen
- Department of Psychology and Logopedics, University of Helsinki, 00014 Helsinki, Finland
| | - Riitta Parkkola
- Department of Radiology, Turku University Hospital, University of Turku, 20014 Turku, Finland
| | | | - Samuel Sandboge
- Finnish Institute for Health and Welfare, 00271 Helsinki, Finland
- Psychology/Welfare Sciences, Faculty of Social Sciences, University of Tampere, 33014 Tampere, Finland
| | - Johan Gunnar Eriksson
- Folkhälsan Research Centre, 00250 Helsinki, Finland
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki University Hospital, 00290 Helsinki, Finland
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore 138632, Singapore
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore
| | | | - Pirjo Nuutila
- Turku PET Centre, University of Turku, 20520 Turku, Finland
- Department of Endocrinology, Turku University Hospital, 20520 Turku, Finland
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16
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Smith KR, Steele KE, Papantoni A, Harris C, Speck CL, Bakker A, Moran TH, Carnell S, Kamath V. The relationship between weight loss and cognitive function in bariatric surgery. Surg Endosc 2023; 37:1976-1984. [PMID: 36271060 PMCID: PMC10023412 DOI: 10.1007/s00464-022-09581-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 08/25/2022] [Indexed: 12/01/2022]
Abstract
BACKGROUND Previously, we reported short-term improvements in auditory attention, oromotor processing speed, and executive function during the active weight loss phase following bariatric surgery that persisted out to 3 months. In this study, our aims were to investigate the relationship between weight loss and cognitive performance in these patients 1 year following vertical sleeve gastrectomy (VSG) and Roux-en Y gastric bypass (RYGB) surgery and to determine whether preoperative cognitive performance predicted weight loss. METHODS Adult women ages 18-55 approved for bariatric surgery completed a cognitive battery prior to and at 2, 12, 24, and 52 weeks following VSG (N = 17) or RYGB (N = 18). Scores from each task were assigned to one of the following cognitive domains: auditory attention, processing speed, memory, and executive functioning. Weight loss and cognitive scores for each domain were calculated and compared between cohorts. RESULTS RYGB surgery resulted in greater weight loss at 1-year follow-up relative to VSG. Both VSG and RYGB procedures resulted in improved performance on different measures of auditory attention and both surgery groups improved across all processing speed tasks. Within the executive function domain, both groups showed improvements, but only the RYGB procedure resulted in improved performance in the Trail Making Test. Baseline auditory attention and memory performance predicted weight loss at 1 year following RYGB but not VSG surgery. Controlling for baseline cognitive performance, percent total weight loss predicted auditory attention at 1 year following RYGB but not VSG surgery. CONCLUSIONS Bariatric surgery type may result in selective improvements in cognition during the first year following surgery. Presurgical cognitive performance as well as surgery type appears to influence weight loss outcomes.
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Affiliation(s)
- Kimberly R Smith
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 600 N. Wolfe Street, Phipps 316, Baltimore, MD, 21287, USA.
| | - Kimberley E Steele
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Afroditi Papantoni
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 600 N. Wolfe Street, Phipps 316, Baltimore, MD, 21287, USA
| | - Civonnia Harris
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Caroline L Speck
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 600 N. Wolfe Street, Phipps 316, Baltimore, MD, 21287, USA
| | - Arnold Bakker
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 600 N. Wolfe Street, Phipps 316, Baltimore, MD, 21287, USA
| | - Timothy H Moran
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 600 N. Wolfe Street, Phipps 316, Baltimore, MD, 21287, USA
| | - Susan Carnell
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 600 N. Wolfe Street, Phipps 316, Baltimore, MD, 21287, USA
| | - Vidyulata Kamath
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 600 N. Wolfe Street, Phipps 316, Baltimore, MD, 21287, USA
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17
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Sex-specific relationships between obesity, physical activity, and gray and white matter volume in cognitively unimpaired older adults. GeroScience 2023:10.1007/s11357-023-00734-4. [PMID: 36781598 PMCID: PMC10400512 DOI: 10.1007/s11357-023-00734-4] [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: 08/09/2022] [Accepted: 01/17/2023] [Indexed: 02/15/2023] Open
Abstract
Independently, obesity and physical activity (PA) influence cerebral structure in aging, yet their interaction has not been investigated. We examined sex differences in the relationships among PA, obesity, and cerebral structure in aging with 340 participants who completed magnetic resonance imaging (MRI) acquisition to quantify grey matter volume (GMV) and white matter volume (WMV). Height and weight were measured to calculate body mass index (BMI). A PA questionnaire was used to estimate weekly Metabolic Equivalents. The relationships between BMI, PA, and their interaction on GMV Regions of Interest (ROIs) and WMV ROIs were examined. Increased BMI was associated with higher GMV in females, an inverse U relationship was found between PA and GMV in females, and the interaction indicated that regardless of BMI greater PA was associated with enhanced GMV. Males demonstrated an inverse U shape between BMI and GMV, and in males with high PA and had normal weight demonstrated greater GMV than normal weight low PA revealed by the interaction. WMV ROIs had a linear relationship with moderate PA in females, whereas in males, increased BMI was associated with lower WMV as well as a positive relationship with moderate PA and WMV. Males and females have unique relationships among GMV, PA and BMI, suggesting sex-aggregated analyses may lead to biased or non-significant results. These results suggest higher BMI, and PA are associated with increased GMV in females, uniquely different from males, highlighting the importance of sex-disaggregated models. Future work should include other imaging parameters, such as perfusion, to identify if these differences co-occur in the same regions as GMV.
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18
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Li Q, Lu Y, Zhang X, Chen Z, Feng J, Zeng X, Zhao S, Huang G, Li L, Xing C, Liang F, Guo T. Brain-Imaging Mechanisms on Female Abdominal Obesity Treated by "Shu-Mu" Acupoint Catgut Embedding and Compatibility Relation: Study Protocol for a 12-Week Randomized Controlled Trial. Diabetes Metab Syndr Obes 2023; 16:733-747. [PMID: 36936443 PMCID: PMC10017833 DOI: 10.2147/dmso.s400197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 03/07/2023] [Indexed: 03/12/2023] Open
Abstract
BACKGROUND Acupoint catgut embedding (ACE) has been proven to be effective and safe in the treatment of obesity, but few studies have been conducted involving its central mechanisms. Our previous study has demonstrated the effectiveness of Shu-Mu ACE in the treatment of abdominal obesity (AO). However, the neurological mechanism of Shu-Mu ACE for weight loss has not yet been elucidated. The mechanism of the combination of the Shu and Mu acupoints may be related to the central integrative effects of the brain. This paper aims to explore the potential neural mechanisms of Shu-Mu ACE in female patients with AO. METHODS AND ANALYSIS A total of 100 eligible female AO patients and 20 healthy female subjects will be recruited for this study. 100 AO patients will be randomly allocated to five groups: Shu-Mu ACE (Group A), Shu ACE (Group B), Mu ACE (Group C), sham ACE (Group D), and waiting-list (Group E). Treatment will be administrated once every two weeks for 12 weeks. The body mass index (BMI), waist circumference (WC), Visual Analog Scales (VAS) of appetite, Self-Rating Anxiety Scale (SAS), and Self-Rating Depression Scale (SDS) will be utilized to evaluate the clinical efficacy. Outcomes will be assessed at baseline and at each time point of treatment. Multimodal MRI will be performed at baseline and after 12-week treatment and the results will be used to investigate the neural mechanisms of ACE for obesity. Neurological changes and clinical data will be analysed for correlation. DISCUSSIONS This study hypothesized that Shu-Mu ACE therapy has a synergistic effect and may treat AO by modulating the neuropathological alterations in the brain. Our findings will demonstrate the neurological mechanism of AO treated by "Shu-Mu" Acupoint Catgut Embedding and compatibility relation. TRIAL REGISTRATION This trial is registered at the Chinese Clinical Trial Registration Center (No. ChiCTR2100048920).
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Affiliation(s)
- Qifu Li
- School of Second Clinical Medicine/The Second Affiliated Hospital, Yunnan University of Chinese Medicine, Kunming, People’s Republic of China
| | - Yi Lu
- The Department of Medical Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming, People’s Republic of China
| | - Xinghe Zhang
- School of Second Clinical Medicine/The Second Affiliated Hospital, Yunnan University of Chinese Medicine, Kunming, People’s Republic of China
| | - Ziwen Chen
- College of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, Kunming, People’s Republic of China
| | - Jialei Feng
- Institute for History of Medicine and Medical Literature, China Academy of Chinese Medical Sciences, Beijing, People’s Republic of China
| | - Xuanxiang Zeng
- School of Second Clinical Medicine/The Second Affiliated Hospital, Yunnan University of Chinese Medicine, Kunming, People’s Republic of China
| | - Siwen Zhao
- School of Second Clinical Medicine/The Second Affiliated Hospital, Yunnan University of Chinese Medicine, Kunming, People’s Republic of China
| | - Gaoyangzi Huang
- School of Second Clinical Medicine/The Second Affiliated Hospital, Yunnan University of Chinese Medicine, Kunming, People’s Republic of China
| | - Li Li
- The Third Affiliated Hospital, Yunnan University of Chinese Medicine, Kunming, People’s Republic of China
| | - Chonghui Xing
- The Sports Trauma Specialist Hospital of Yunnan Province, Kunming, People’s Republic of China
| | - Fanrong Liang
- College of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, Kunming, People’s Republic of China
- Fanrong Liang, School of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, People’s Republic of China, Email
| | - Taipin Guo
- School of Second Clinical Medicine/The Second Affiliated Hospital, Yunnan University of Chinese Medicine, Kunming, People’s Republic of China
- Correspondence: Taipin Guo, School of Second Clinical Medicine/The Second Affiliated Hospital, Yunnan University of Chinese Medicine, Kunming, People’s Republic of China, Email
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19
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Zapparoli L, Devoto F, Giannini G, Zonca S, Gallo F, Paulesu E. Neural structural abnormalities behind altered brain activation in obesity: Evidence from meta-analyses of brain activation and morphometric data. Neuroimage Clin 2022; 36:103179. [PMID: 36088842 PMCID: PMC9474923 DOI: 10.1016/j.nicl.2022.103179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 08/27/2022] [Accepted: 08/30/2022] [Indexed: 12/14/2022]
Abstract
Obesity represents a risk factor for disability with a major bearing on life expectancy. Neuroimaging techniques are contributing to clarify its neurobiological underpinnings. Here, we explored whether structural brain abnormalities might accompany altered brain activations in obesity. We combined and compared data from brain activation studies for food stimuli and the data reported in structural voxel-based morphometry studies. We found that obese individuals have reduced grey matter density and functional activations in the thalamus and midbrain. A functional connectivity analysis based on these two clusters and its quantitative decoding showed that these regions are part of the reward system functional brain network. Moreover, we found specific grey matter hypo-densities in prefrontal cortex for the obese subjects, regions involved in controlled behaviour. These results support theories of obesity that point to reduced bottom-up reward processes (i.e., the Reward Deficit Theory), but also top-down theories postulating a deficit in cognitive control (i.e., the Inhibitory Control Deficit Theory). The same results also warrant a more systematic exploration of obesity whereby the reward of food and the intentional control over consummatory behaviour is manipulated.
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Affiliation(s)
- Laura Zapparoli
- Psychology Department and NeuroMi – Milan Centre for Neuroscience, University of Milano-Bicocca, Milan, Italy,IRCCS Orthopedic Institute Galeazzi, Milan, Italy,Corresponding authors.
| | - Francantonio Devoto
- Psychology Department and NeuroMi – Milan Centre for Neuroscience, University of Milano-Bicocca, Milan, Italy
| | - Gianluigi Giannini
- Psychology Department and NeuroMi – Milan Centre for Neuroscience, University of Milano-Bicocca, Milan, Italy
| | - Sara Zonca
- Psychology Department and NeuroMi – Milan Centre for Neuroscience, University of Milano-Bicocca, Milan, Italy
| | - Francesca Gallo
- Psychology Department and NeuroMi – Milan Centre for Neuroscience, University of Milano-Bicocca, Milan, Italy
| | - Eraldo Paulesu
- Psychology Department and NeuroMi – Milan Centre for Neuroscience, University of Milano-Bicocca, Milan, Italy,IRCCS Orthopedic Institute Galeazzi, Milan, Italy
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20
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Rebelos E, Rissanen E, Bucci M, Jääskeläinen O, Honka MJ, Nummenmaa L, Moriconi D, Laurila S, Salminen P, Herukka SK, Singhal T, Nuutila P. Circulating neurofilament is linked with morbid obesity, renal function, and brain density. Sci Rep 2022; 12:7841. [PMID: 35551210 PMCID: PMC9098484 DOI: 10.1038/s41598-022-11557-2] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 04/25/2022] [Indexed: 12/14/2022] Open
Abstract
Neurofilament light chain (NfL) is a novel biomarker reflecting neuroaxonal damage and associates with brain atrophy, and glial fibrillary acidic protein (GFAP) is a marker of astrocytic activation, associated with several neurodegenerative diseases. Since obesity is associated with increased risk for several neurodegenerative disorders, we hypothesized that circulating NfL and GFAP levels could reflect neuronal damage in obese patients. 28 morbidly obese and 18 lean subjects were studied with voxel based morphometry (VBM) MRI to assess gray and white matter densities. Serum NfL and GFAP levels were determined with single-molecule array. Obese subjects were re-studied 6 months after bariatric surgery. Morbidly obese subjects had lower absolute concentrations of circulating NfL and GFAP compared to lean individuals. Following bariatric surgery-induced weight loss, both these levels increased. Both at baseline and after weight loss, circulating NfL and GFAP values correlated inversely with eGFR. Cross-sectionally, circulating NfL levels correlated inversely with gray matter (GM) density, and this association remained significant also when accounting for age and total eGFR. GFAP values did not correlate with GM density. Our data suggest that when determining circulating NfL and GFAP levels, eGFR should also be measured since renal function can affect these measurements. Despite the potential confounding effect of renal function on NfL measurement, NfL correlated inversely with gray matter density in this group of subjects with no identified neurological disorders, suggesting that circulating NfL level may be a feasible biomarker of cerebral function even in apparently neurologically healthy subjects.
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Affiliation(s)
- Eleni Rebelos
- Turku PET Centre, University of Turku, Turku, Finland. .,CNR, Pisa, Italy.
| | - Eero Rissanen
- Turku PET Centre, University of Turku, Turku, Finland.,PET Imaging Program in Neurologic Diseases, Singhal Lab, Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Marco Bucci
- Turku PET Centre, University of Turku, Turku, Finland.,Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institutet, Stockholm, Sweden.,Turku PET Centre, Åbo Akademi University, Turku, Finland
| | - Olli Jääskeläinen
- Institute of Clinical Medicine-Neurology, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
| | | | - Lauri Nummenmaa
- Turku PET Centre, University of Turku, Turku, Finland.,Department of Psychology, University of Turku, Turku, Finland
| | - Diego Moriconi
- Department of Surgical, Medical, Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy
| | - Sanna Laurila
- Turku PET Centre, University of Turku, Turku, Finland
| | - Paulina Salminen
- Division of Digestive Surgery and Urology, Turku University Hospital, Turku, Finland.,Department of Surgery, University of Turku, Turku, Finland
| | - Sanna-Kaisa Herukka
- Institute of Clinical Medicine-Neurology, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland.,Neurocenter, Kuopio University Hospital, Kuopio, Finland
| | - Tarun Singhal
- PET Imaging Program in Neurologic Diseases, Singhal Lab, Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.,Department of Neurology, Brigham Multiple Sclerosis Center, Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Pirjo Nuutila
- Turku PET Centre, University of Turku, Turku, Finland.,Department of Endocrinology, Turku University Hospital, Turku, Finland
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21
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Pflanz CP, Tozer DJ, Harshfield EL, Tay J, Farooqi S, Markus HS. Central obesity is selectively associated with cerebral gray matter atrophy in 15,634 subjects in the UK Biobank. Int J Obes (Lond) 2022; 46:1059-1067. [PMID: 35145215 PMCID: PMC9050590 DOI: 10.1038/s41366-021-00992-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 05/20/2021] [Accepted: 10/11/2021] [Indexed: 01/28/2023]
Abstract
BACKGROUND Obesity is a risk factor for both cardiovascular disease and dementia, but the mechanisms underlying this association are not fully understood. We examined associations between obesity, including estimates of central obesity using different modalities, with brain gray matter (GM) volume in the UK Biobank, a large population-based cohort study. METHODS To determine relationships between obesity and the brain we used brain MRI, abdominal MRI, dual-energy X-ray absorptiometry (DXA), and bioelectric whole-body impedance. We determined whether obesity was associated with any change in brain gray matter (GM) and white matter (WM) volumes, and brain network efficiency derived from the structural connectome (wiring of the brain) as determined from diffusion-tensor MRI tractography. Using Waist-Hip Ratio (WHR), abdominal MRI and DXA we determined whether any associations were primarily with central rather than peripheral obesity, and whether associations were mediated by known cardiovascular risk factors. We analyzed brain MRI data from 15,634. RESULTS We found that central obesity, was associated with decreased GM volume (anthropometric data: p = 6.7 × 10-16, DXA: p = 8.3 × 10-81, abdominal MRI: p = 0.0006). Regional associations were found between central obesity and with specific GM subcortical nuclei (thalamus, caudate, pallidum, nucleus accumbens). In contrast, no associations were found with WM volume or structure, or brain network efficiency. The effects of central obesity on GM volume were not mediated by C-reactive protein or blood pressure, glucose, lipids. CONCLUSIONS Central body-fat distribution rather than the overall body-fat percentage is associated with gray matter changes in people with obesity. Further work is required to identify the factors that mediate the association between central obesity and GM atrophy.
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Affiliation(s)
- Chris-Patrick Pflanz
- University of Cambridge Stroke Research Group, Neurology Unit, Department of Clinical Neurosciences, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - Daniel J Tozer
- University of Cambridge Stroke Research Group, Neurology Unit, Department of Clinical Neurosciences, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
| | - Eric L Harshfield
- University of Cambridge Stroke Research Group, Neurology Unit, Department of Clinical Neurosciences, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - Jonathan Tay
- University of Cambridge Stroke Research Group, Neurology Unit, Department of Clinical Neurosciences, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - Sadaf Farooqi
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Welcome Trust-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK
| | - Hugh S Markus
- University of Cambridge Stroke Research Group, Neurology Unit, Department of Clinical Neurosciences, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
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22
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Kim J, McKenna CF, Salvador AF, Scaroni SE, Askow AT, Cerna J, Cannavale CN, Paluska SA, De Lisio M, Petruzzello SJ, Burd NA, Khan NA. Cathepsin B and Muscular Strength are Independently Associated with Cognitive Control. Brain Plast 2022; 8:19-33. [DOI: 10.3233/bpl-210136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/18/2022] [Indexed: 11/15/2022] Open
Abstract
Although muscular strength has been linked to greater cognitive function across different cognitive domains, the mechanism(s) through which this occurs remain(s) poorly understood. Indeed, while an emerging body of literature suggests peripheral myokines released from muscular contractions may play a role in this relationship, additional research is needed to understand this link. Accordingly, this study sought to compare the influences of a particular myokine, Cathepsin B (CTSB), and muscular strength on hippocampal-dependent relational memory and cognitive control in 40 adults (age = 50.0±7.3 yrs). Overnight fasted venous blood draws were taken to assess plasma CTSB and muscular strength was assessed as maximal isokinetic strength testing using a Biodex dynamometer. Cognitive performance was assessed using a Spatial Reconstruction Task to assess relational memory and a modified Flanker task to assess cognitive control. Neuroelectric function for cognitive control was assessed using event-related potentials (ERPs) recorded during the Flanker task. Initial bivariate correlational analyses revealed that neither sex, age, lean body mass, or muscular strength was associated with CTSB. However, CTSB was inversely associated with reaction time and fractional peak latency of the P3 component of the Flanker task. Muscular strength was also inversely associated with reaction time and positively associated with relational memory performance. However, the influence of muscular strength on relational memory did not persist following adjustment for covariates. Greater circulating CTSB was selectively associated with greater cognitive control as well as faster information processing speed. These findings are the first to link circulating CTSB to both cognitive control and neuroelectric function. Future intervention studies are needed to examine the effects of changes in muscular strength, circulating myokines, and different domains of cognitive function.
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Affiliation(s)
- Jeongwoon Kim
- Department of Kinesiology and Community Health, University of Illinois, USA
| | | | - Amadeo F. Salvador
- Department of Kinesiology and Community Health, University of Illinois, USA
| | | | - Andrew T. Askow
- Department of Kinesiology and Community Health, University of Illinois, USA
| | | | | | | | | | | | - Nicholas A. Burd
- Department of Kinesiology and Community Health, University of Illinois, USA
- Division of Nutritional Sciences, University of Illinois, USA
| | - Naiman A. Khan
- Department of Kinesiology and Community Health, University of Illinois, USA
- Division of Nutritional Sciences, University of Illinois, USA
- Neuroscience Program, University of Illinois, USA
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23
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Ryan MC, Hong LE, Hatch KS, Gao S, Chen S, Haerian K, Wang J, Goldwaser EL, Du X, Adhikari BM, Bruce H, Hare S, Kvarta MD, Jahanshad N, Nichols TE, Thompson PM, Kochunov P. The additive impact of cardio-metabolic disorders and psychiatric illnesses on accelerated brain aging. Hum Brain Mapp 2022; 43:1997-2010. [PMID: 35112422 PMCID: PMC8933252 DOI: 10.1002/hbm.25769] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2021] [Revised: 11/28/2021] [Accepted: 12/28/2021] [Indexed: 12/24/2022] Open
Abstract
Severe mental illnesses (SMI) including major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia spectrum disorder (SSD) elevate accelerated brain aging risks. Cardio‐metabolic disorders (CMD) are common comorbidities in SMI and negatively impact brain health. We validated a linear quantile regression index (QRI) approach against the machine learning “BrainAge” index in an independent SSD cohort (N = 206). We tested the direct and additive effects of SMI and CMD effects on accelerated brain aging in the N = 1,618 (604 M/1,014 F, average age = 63.53 ± 7.38) subjects with SMI and N = 11,849 (5,719 M/6,130 F; 64.42 ± 7.38) controls from the UK Biobank. Subjects were subdivided based on diagnostic status: SMI+/CMD+ (N = 665), SMI+/CMD− (N = 964), SMI−/CMD+ (N = 3,765), SMI−/CMD− (N = 8,083). SMI (F = 40.47, p = 2.06 × 10−10) and CMD (F = 24.69, p = 6.82 × 10−7) significantly, independently impacted whole‐brain QRI in SMI+. SSD had the largest effect (Cohen’s d = 1.42) then BD (d = 0.55), and MDD (d = 0.15). Hypertension had a significant effect on SMI+ (d = 0.19) and SMI− (d = 0.14). SMI effects were direct, independent of MD, and remained significant after correcting for effects of antipsychotic medications. Whole‐brain QRI was significantly (p < 10−16) associated with the volume of white matter hyperintensities (WMH). However, WMH did not show significant association with SMI and was driven by CMD, chiefly hypertension (p < 10−16). We used a simple and robust index, QRI, the demonstrate additive effect of SMI and CMD on accelerated brain aging. We showed a greater effect of psychiatric illnesses on QRI compared to cardio‐metabolic illness. Our findings suggest that subjects with SMI should be among the targets for interventions to protect against age‐related cognitive decline.
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Affiliation(s)
- Meghann C Ryan
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - L Elliot Hong
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Kathryn S Hatch
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Si Gao
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Shuo Chen
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA.,Division of Biostatistics and Bioinformatics, Department of Public Health and Epidemiology, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Krystl Haerian
- Department of Clinical Research and Leadership, School of Medicine and Health Sciences, George Washington University, Washington, District of Columbia, USA
| | - Jingtao Wang
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA.,Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Eric L Goldwaser
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Xiaoming Du
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Bhim M Adhikari
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Heather Bruce
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Stephanie Hare
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Mark D Kvarta
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Neda Jahanshad
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, Los Angeles, California, USA
| | - Thomas E Nichols
- Nuffield Department of Population Health of the University of Oxford, Oxford, UK
| | - Paul M Thompson
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, Los Angeles, California, USA
| | - Peter Kochunov
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
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24
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Beck D, de Lange AMG, Alnæs D, Maximov II, Pedersen ML, Leinhard OD, Linge J, Simon R, Richard G, Ulrichsen KM, Dørum ES, Kolskår KK, Sanders AM, Winterton A, Gurholt TP, Kaufmann T, Steen NE, Nordvik JE, Andreassen OA, Westlye LT. Adipose tissue distribution from body MRI is associated with cross-sectional and longitudinal brain age in adults. Neuroimage Clin 2022; 33:102949. [PMID: 35114636 PMCID: PMC8814666 DOI: 10.1016/j.nicl.2022.102949] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 01/20/2022] [Accepted: 01/21/2022] [Indexed: 12/12/2022]
Abstract
There is an intimate body-brain connection in ageing, and obesity is a key risk factor for poor cardiometabolic health and neurodegenerative conditions. Although research has demonstrated deleterious effects of obesity on brain structure and function, the majority of studies have used conventional measures such as waist-to-hip ratio, waist circumference, and body mass index. While sensitive to gross features of body composition, such global anthropometric features fail to describe regional differences in body fat distribution and composition. The sample consisted of baseline brain magnetic resonance imaging (MRI) acquired from 790 healthy participants aged 18-94 years (mean ± standard deviation (SD) at baseline: 46.8 ± 16.3), and follow-up brain MRI collected from 272 of those individuals (two time-points with 19.7 months interval, on average (min = 9.8, max = 35.6). Of the 790 included participants, cross-sectional body MRI data was available from a subgroup of 286 participants, with age range 19-86 (mean = 57.6, SD = 15.6). Adopting a mixed cross-sectional and longitudinal design, we investigated cross-sectional body magnetic resonance imaging measures of adipose tissue distribution in relation to longitudinal brain structure using MRI-based morphometry (T1) and diffusion tensor imaging (DTI). We estimated tissue-specific brain age at two time points and performed Bayesian multilevel modelling to investigate the associations between adipose measures at follow-up and brain age gap (BAG) - the difference between actual age and the prediction of the brain's biological age - at baseline and follow-up. We also tested for interactions between BAG and both time and age on each adipose measure. The results showed credible associations between T1-based BAG and liver fat, muscle fat infiltration (MFI), and weight-to-muscle ratio (WMR), indicating older-appearing brains in people with higher measures of adipose tissue. Longitudinal evidence supported interaction effects between time and MFI and WMR on T1-based BAG, indicating accelerated ageing over the course of the study period in people with higher measures of adipose tissue. The results show that specific measures of fat distribution are associated with brain ageing and that different compartments of adipose tissue may be differentially linked with increased brain ageing, with potential to identify key processes involved in age-related transdiagnostic disease processes.
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Affiliation(s)
- Dani Beck
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychology, University of Oslo, Norway; Sunnaas Rehabilitation Hospital HT, Nesodden, Norway.
| | - Ann-Marie G de Lange
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; LREN, Centre for Research in Neurosciences-Department of Clinical Neurosciences, CHUV and University of Lausanne, Lausanne, Switzerland; Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK
| | - Dag Alnæs
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Bjørknes College, Oslo, Norway
| | - Ivan I Maximov
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychology, University of Oslo, Norway; Department of Health and Functioning, Western Norway University of Applied Sciences, Bergen, Norway
| | - Mads L Pedersen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychology, University of Oslo, Norway
| | - Olof Dahlqvist Leinhard
- AMRA Medical AB, Linköping, Sweden; Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden; Department of Health, Medicine, and Caring Sciences, Linköping University, Linköping, Sweden
| | - Jennifer Linge
- AMRA Medical AB, Linköping, Sweden; Department of Health, Medicine, and Caring Sciences, Linköping University, Linköping, Sweden
| | - Rozalyn Simon
- AMRA Medical AB, Linköping, Sweden; Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden; Department of Health, Medicine, and Caring Sciences, Linköping University, Linköping, Sweden
| | - Geneviève Richard
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway
| | - Kristine M Ulrichsen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychology, University of Oslo, Norway; Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - Erlend S Dørum
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychology, University of Oslo, Norway; Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - Knut K Kolskår
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychology, University of Oslo, Norway; Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - Anne-Marthe Sanders
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychology, University of Oslo, Norway; Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - Adriano Winterton
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway
| | - Tiril P Gurholt
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway
| | - Tobias Kaufmann
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychiatry and Psychotherapy, University of Tübingen, Germany
| | - Nils Eiel Steen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway
| | | | - Ole A Andreassen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Norway
| | - Lars T Westlye
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychology, University of Oslo, Norway; KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Norway.
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25
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Roger C, Lasbleiz A, Guye M, Dutour A, Gaborit B, Ranjeva JP. The Role of the Human Hypothalamus in Food Intake Networks: An MRI Perspective. Front Nutr 2022; 8:760914. [PMID: 35047539 PMCID: PMC8762294 DOI: 10.3389/fnut.2021.760914] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 12/07/2021] [Indexed: 12/12/2022] Open
Abstract
Hypothalamus (HT), this small structure often perceived through the prism of neuroimaging as morphologically and functionally homogeneous, plays a key role in the primitive act of feeding. The current paper aims at reviewing the contribution of magnetic resonance imaging (MRI) in the study of the role of the HT in food intake regulation. It focuses on the different MRI techniques that have been used to describe structurally and functionally the Human HT. The latest advances in HT parcellation as well as perspectives in this field are presented. The value of MRI in the study of eating disorders such as anorexia nervosa (AN) and obesity are also highlighted.
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Affiliation(s)
- Coleen Roger
- Centre de Résonance Magnétique Biologique et Médicale (CRMBM), Centre National de la Recherche Scientifique (CNRS), Université Aix-Marseille, Marseille, France.,Centre d'Exploration Métabolique par Résonance Magnétique (CEMEREM), Assistance Publique-Hôpitaux de Marseille (AP-HM), Hôpital Universitaire de la Timone, Marseille, France
| | - Adèle Lasbleiz
- Centre d'Exploration Métabolique par Résonance Magnétique (CEMEREM), Assistance Publique-Hôpitaux de Marseille (AP-HM), Hôpital Universitaire de la Timone, Marseille, France.,Département d'Endocrinologie, Assistance Publique-Hôpitaux de Marseille (AP-HM), Hôpital de la Conception, Marseille, France
| | - Maxime Guye
- Centre de Résonance Magnétique Biologique et Médicale (CRMBM), Centre National de la Recherche Scientifique (CNRS), Université Aix-Marseille, Marseille, France.,Centre d'Exploration Métabolique par Résonance Magnétique (CEMEREM), Assistance Publique-Hôpitaux de Marseille (AP-HM), Hôpital Universitaire de la Timone, Marseille, France
| | - Anne Dutour
- Département d'Endocrinologie, Assistance Publique-Hôpitaux de Marseille (AP-HM), Hôpital de la Conception, Marseille, France
| | - Bénédicte Gaborit
- Département d'Endocrinologie, Assistance Publique-Hôpitaux de Marseille (AP-HM), Hôpital de la Conception, Marseille, France
| | - Jean-Philippe Ranjeva
- Centre de Résonance Magnétique Biologique et Médicale (CRMBM), Centre National de la Recherche Scientifique (CNRS), Université Aix-Marseille, Marseille, France.,Centre d'Exploration Métabolique par Résonance Magnétique (CEMEREM), Assistance Publique-Hôpitaux de Marseille (AP-HM), Hôpital Universitaire de la Timone, Marseille, France
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26
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Xing Z, Long C, Hu X, Chai X. Obesity is associated with greater cognitive function in patients with type 2 diabetes mellitus. Front Endocrinol (Lausanne) 2022; 13:953826. [PMID: 36353230 PMCID: PMC9637978 DOI: 10.3389/fendo.2022.953826] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 10/10/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND The impact of obesity on cognitive function in patients with type 2 diabetes mellitus (T2DM) remains controversial. This study aimed to evaluate whether obesity, assessed by body mass index (BMI) was associated with cognitive function among T2DM patients and whether the effect of obesity on cognitive function was through brain structure. METHODS This was a post-hoc analysis of the Action to Control Cardiovascular Risk in Diabetes-Memory in Diabetes (ACCORD-MIND) study. The cognitive test battery included the Digit Symbol Substitution Test (DSST), Mini-Mental State Exam (MMSE), Rey Auditory Verbal Learning Test (RAVLT), and STROOP test, which were administered at baseline, and at 20, 40, and 80 months. A subgroup (n = 614) of the ACCORD-MIND study underwent MRI scanning at baseline and at 40 and 80 months. The total brain volume (TBV), abnormal white matter volume (AWM), abnormal gray matter volume (AGM), and abnormal basal ganglia volume (ABG) were estimated. The outcomes of this study were cognitive function and brain structure. RESULTS In the adjusted analyses, BMI was positively associated with the MMSE (β:0.08, 95%CI,0.01-0.16, per standard deviation [SD] increase) and RAVLT scores (β:0.09, 95%CI,0.01-0.18). It was also associated with a greater TBV (β:7.48, 95%CI,0.29-14.67). BMI was not associated with the DSST or STROOP scores, and AWM, AGM, ABG. Mediation analysis found that the effect of BMI on MMSE/RAVLT was mediated through TBV. CONCLUSION Obesity may be associated with greater cognitive function and the effect of BMI on cognitive function may be mediated by TBV among patients with T2DM. CLINICAL TRIAL REGISTRATION http://www.clinicaltrials.gov, identifier NCT00000620.
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Affiliation(s)
- Zhenhua Xing
- Department of Emergency Medicine, Second Xiangya Hospital, Central South University, Changsha, China
- Emergency Medicine and Difficult Diseases Institute, Central South University, Changsha, China
| | - Chen Long
- Department of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Xinqun Hu
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
- *Correspondence: Xinqun Hu,
| | - Xiangping Chai
- Department of Emergency Medicine, Second Xiangya Hospital, Central South University, Changsha, China
- Emergency Medicine and Difficult Diseases Institute, Central South University, Changsha, China
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27
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Li L, Yu H, Zhong M, Liu S, Wei W, Meng Y, Li ML, Li T, Wang Q. Gray matter volume alterations in subjects with overweight and obesity: Evidence from a voxel-based meta-analysis. Front Psychiatry 2022; 13:955741. [PMID: 36226110 PMCID: PMC9548618 DOI: 10.3389/fpsyt.2022.955741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2022] [Accepted: 09/05/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND Obesity is a multi-systemic disease with complex etiology. And consistent evidence indicated obesity or overweight subjects render brain structure changes. Increasing evidence indicates these subjects have shown widespread structural brain gray matter volume (GMV) changes. However, results from other neuroimaging studies have been inconsistent. Consequently, the question remains whether body mass index (BMI), a gold standard to define obesity/overweight, is associated with brain structural changes. METHODS This study will apply an updated meta-analysis of voxel-based GMV studies to compare GMV changes in overweight and obese subjects. Online databases were used to build on relevant studies published before May 2022. The updated Seed-based d Mapping with Permutation of Subject Images (SDM-PSI) explores GMV changes in individuals with overweight and obesity and further examines the correlation between GMV and obesity-related variables, specifically body mass index (BMI). RESULTS This research included fourteen studies and provided a whole-brain analysis of GMV distribution in overweight and obese individuals. It revealed lower GMV in brain regions, including the left putamen and right precentral gyrus, in individuals with overweight and obesity compared to lean controls. Further, meta-regression analyses revealed GMV in the left middle occipital gyrus was negatively correlated with the BMI of the whole sample. CONCLUSION GMV decreased was reported in reward circuit processing areas and sensorimotor processing areas of individuals with overweight and obesity diagnoses, suggesting an underlying structural basis for reward processing and sensorimotor processing dysregulation in overweight and obese subjects. Our results also suggest that GMV in occipital gyrus, a key region for food visual and gustatory encoding, is negatively associated with BMI. These results provide further evidence for the dysregulated reward circuit in individuals with overweight and obesity.
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Affiliation(s)
- Lei Li
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.,Sichuan Clinical Medical Research Center for Mental Disorders, Chengdu, China
| | - Hua Yu
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.,Sichuan Clinical Medical Research Center for Mental Disorders, Chengdu, China
| | - Ming Zhong
- Department of Sport and Health Science, University of Exeter, Exeter, United Kingdom
| | - Siyi Liu
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.,Sichuan Clinical Medical Research Center for Mental Disorders, Chengdu, China
| | - Wei Wei
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.,Sichuan Clinical Medical Research Center for Mental Disorders, Chengdu, China
| | - Yajing Meng
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.,Sichuan Clinical Medical Research Center for Mental Disorders, Chengdu, China
| | - Ming-Li Li
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.,Sichuan Clinical Medical Research Center for Mental Disorders, Chengdu, China
| | - Tao Li
- Department of Neurobiology, Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Qiang Wang
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.,Sichuan Clinical Medical Research Center for Mental Disorders, Chengdu, China
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28
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Foldi CJ, Morris MJ, Oldfield BJ. Executive function in obesity and anorexia nervosa: Opposite ends of a spectrum of disordered feeding behaviour? Prog Neuropsychopharmacol Biol Psychiatry 2021; 111:110395. [PMID: 34217755 DOI: 10.1016/j.pnpbp.2021.110395] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 05/26/2021] [Accepted: 06/29/2021] [Indexed: 02/02/2023]
Abstract
Higher-order executive functions such as decision-making, cognitive flexibility and behavioural control are critical to adaptive success in all aspects of life, including the maintenance of a healthy body weight by regulating food intake. Performance on tasks designed to assess these aspects of cognition is impaired in individuals with obesity and anorexia nervosa (AN); conditions at either end of a spectrum of body weight disturbance. While the conceptualisation of obesity and AN as mirror images of each other makes some sense from a metabolic point of view, whether or not these conditions also reflect opposing states of executive function is less clear. Here, we review evidence from neurocognitive and neuroimaging studies to compare the direction and extent of executive dysfunction in subjects with obesity and AN and how these are underpinned by changes in structure and function of subregions of the prefrontal cortex (PFC). Both conditions of extreme body weight disturbance are associated with impaired decision-making and cognitive inflexibility, however, impulsive behaviour presents in opposing directions; obesity being associated with reduced behavioural control and AN being associated with elevated control over behaviour with respect to food and feeding. Accordingly, the subregions of the PFC that guide inhibitory control and valuation of action outcomes (dorsolateral prefrontal cortex and orbitofrontal cortex) show opposite patterns of activation in subjects with obesity compared to those with AN, whereas the subregions implicated in cognitive and behavioural flexibility (ventromedial prefrontal cortex and anterior cingulate cortex) show alterations in the same direction in both conditions but with differential extent of dysfunction. We synthesise these findings in the context of the utility of animal models of obesity and AN to interrogate the detail of the neurobiological contributions to cognition in patient populations and the utility of such detail to inform future treatment strategies that specifically target executive dysfunction.
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Affiliation(s)
- Claire J Foldi
- Department of Physiology, Monash University, 26 Innovation Walk, Clayton 3800, Australia; Monash Biomedicine Discovery Institute, 23 Innovation Walk, Clayton 3800, Australia.
| | - Margaret J Morris
- School of Medical Sciences, UNSW Sydney, High Street, Randwick 2052, Australia
| | - Brian J Oldfield
- Department of Physiology, Monash University, 26 Innovation Walk, Clayton 3800, Australia; Monash Biomedicine Discovery Institute, 23 Innovation Walk, Clayton 3800, Australia
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29
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Baek S, Jung J, Moon P, Park W. Obesity impacts on task performance and perceived discomfort during seated foot target reaches. ERGONOMICS 2021; 64:1569-1578. [PMID: 34018914 DOI: 10.1080/00140139.2021.1933202] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 05/14/2021] [Indexed: 06/12/2023]
Abstract
This study examined obesity impacts on task performance and perceived discomfort during seated foot target reaches. Three independent variables, participant group, movement distance, and, movement direction, were considered. The task performance measures employed were reaction time, movement time and task performance time. Perceived discomfort was measured using a modified Borg CR-10 scale. Statistical analyses revealed that: obesity was associated with increases in movement time, reaction time and performance time; movement distance significantly affected the three task performance measures and discomfort rating; and, movement direction significantly affected movement time, performance time and discomfort rating. The obesity impacts observed are thought to reflect the decelerating effects of the extra fat mass in the obese body during foot reaches and possibly obesity-related physiological and cognitive changes. Design improvements of foot-operated systems, such as reducing distances to targets, increasing target sizes and avoiding forward foot reaches, may help counteract the observed obesity impacts. Practitioner Summary: This study empirically investigated the obesity impacts on task performance and perceived discomfort during seated foot target reaches. Obesity was found to be associated with increases in movement time, reaction time and performance time. The observed obesity impacts seem attributable to the anthropometric, motor and cognitive characteristics of the obese.Abbreviations: ANOVA: analysis of variance; BMI: body mass index; ROM: range of motion; Borg CR-10: Borg's category ratio 10 scale.
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Affiliation(s)
- Seungwon Baek
- Department of Industrial Engineering, Seoul National University, Seoul, South Korea
| | - Jaemoon Jung
- Department of Industrial Engineering, Seoul National University, Seoul, South Korea
| | - Philjun Moon
- Department of Industrial Engineering, Seoul National University, Seoul, South Korea
| | - Woojin Park
- Department of Industrial Engineering, Seoul National University, Seoul, South Korea
- Institute for Industrial Systems Innovation, Seoul National University, Seoul, South Korea
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30
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Gauci S, Young LM, White DJ, Reddan JM, Lassemillante AC, Meyer D, Pipingas A, Scholey A. Diet May Moderate the Relationship Between Arterial Stiffness and Cognitive Performance in Older Adults. J Alzheimers Dis 2021; 85:815-828. [PMID: 34864661 PMCID: PMC8842781 DOI: 10.3233/jad-210567] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
BACKGROUND Cognitive decline is influenced by various factors including diet, cardiovascular disease, and glucose control. However, the combined effect of these risk factors on cognitive performance is yet to be fully understood. OBJECTIVE The current study aimed to explore the inter-relationship between these risk factors and cognitive performance in older adults at risk of future cognitive decline. METHODS The sample comprised 163 (Age: M = 65.23 years, SD = 6.50) participants. Food Frequency Questionnaire data was used to score diet quality and adherence to the Western Style Diet (WSD) and Prudent Style Diet (PSD). Glucose control was gauged by serum levels of glycated hemoglobin (HbA1c) and arterial stiffness was measured using carotid to femoral pulse wave velocity. Cognitive performance was assessed using two subtests of the Swinburne University Computerized Cognitive Assessment Battery (SUCCAB) and Rey's Verbal Learning Test (RVLT). RESULTS Diet quality, adherence to the WSD or PSD, and glucose control were not significantly related to cognitive outcomes. However, a significant negative association was found between arterial stiffness and the spatial working memory subtest of SUCCAB (β= -0.21, p < 0.05). Arterial stiffness also significantly interacted with the PSD to impact total recall (F change (1,134) = 5.37, p < 0.05) and the composite score of RVLT (F change (1,134) = 4.03, p < 0.05). CONCLUSION In this sample of older adults at risk of cognitive decline, diet alone was not found to predict cognitive performance; however, it was found to moderate the relationship between arterial stiffness and cognition.
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Affiliation(s)
- Sarah Gauci
- Centre for Human Psychopharmacology, Swinburne University, Melbourne, VIC, Australia.,Heart and Mind Research, School of Medicine, Deakin University, Barwon Health, Geelong, Australia
| | - Lauren M Young
- Centre for Human Psychopharmacology, Swinburne University, Melbourne, VIC, Australia.,Food and Mood Centre, School of Medicine, Deakin University, Barwon Health, Geelong, Australia
| | - David J White
- Centre for Human Psychopharmacology, Swinburne University, Melbourne, VIC, Australia
| | - Jeffery M Reddan
- Centre for Human Psychopharmacology, Swinburne University, Melbourne, VIC, Australia
| | - Annie-Claude Lassemillante
- Department of Nursing and Allied Health, Faculty of Health, Arts and Design, Swinburne University, Melbourne, VIC, Australia
| | - Denny Meyer
- Department of Health Science and Biostatistics, Centre for Mental Health, Swinburne University, Melbourne, VIC, Australia
| | - Andrew Pipingas
- Centre for Human Psychopharmacology, Swinburne University, Melbourne, VIC, Australia
| | - Andrew Scholey
- Centre for Human Psychopharmacology, Swinburne University, Melbourne, VIC, Australia.,Nutrition Dietetics and Food, School of Clinical Sciences, Monash University, Melbourne, Australia
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31
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Liu X, Turel O, Xiao Z, He J, He Q. Impulsivity and neural mechanisms that mediate preference for immediate food rewards in people with vs without excess weight. Appetite 2021; 169:105798. [PMID: 34774966 DOI: 10.1016/j.appet.2021.105798] [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: 06/04/2020] [Revised: 10/27/2021] [Accepted: 11/05/2021] [Indexed: 11/02/2022]
Abstract
People with excess weight (overweight or obese; body mass index [BMI]>25) are generally characterized as impulsive with regards to food. However, the underlying brain mechanisms of this impulsivity are not fully understood. As such, this study aims at understanding the neural mechanisms underlying impulsivity toward food rewards, as well as differences in delay discounting patterns for hypothetical food between people with vs without excess weight. To this end, participants (79 college students, 33 with excess weight and 46 without) performed a food delay discounting task and completed questionnaires related to food addiction and impulsivity. In the task, we manipulated the magnitude of immediate and delayed rewards and employed event-related fMRI design to measure brain activity. The results showed that people with excess weight, compared to those without, were more impulsive and presented a lower probability of choosing delayed rewards. The higher the BMI was, the lower the probability of choosing delayed rewards was. People with excess weight also had higher impulsivity scores than people with no excess weight. Moreover, people with excess weight had less activation in executive function areas such as the anterior cingulate gyrus, the frontal pole, and the inferior frontal gyrus in both difficult and easy decision-making conditions. These results suggest that hypo-activation of executive function areas may contribute to the progression of decision impulsivity in relation to food, which in turn is associated with excess weight.
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Affiliation(s)
- Xing Liu
- Faculty of Psychology, Southwest University, Beibei, Chongqing, China
| | - Ofir Turel
- School of Computing and Information Systems, The University of Melbourne, Parkville, VIC, Australia
| | - Zhibing Xiao
- Faculty of Psychology, Southwest University, Beibei, Chongqing, China
| | - Jinbo He
- Key Laboratory of Adolescent Cyberpsychology and Behavior of Ministry of Education, Key Laboratory of Human Development and Mental Health of Hubei Province, School of Psychology, Central China Normal University, Wuhan, Hubei, China.
| | - Qinghua He
- Faculty of Psychology, Southwest University, Beibei, Chongqing, China; Chongqing Collaborative Innovation Center for Brain Science, Chongqing, China; Collaborative Innovation Center of Assessment toward Basic Education Quality, Beijing Normal University, Chongqing, China.
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32
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Bae EM, Park SM. Association between Variations in Body Mass Index and Cognitive Function in Older Korean Adults. J Obes Metab Syndr 2021; 30:271-278. [PMID: 34504046 PMCID: PMC8526292 DOI: 10.7570/jomes21044] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 05/11/2021] [Accepted: 05/22/2021] [Indexed: 11/26/2022] Open
Abstract
Background Although several studies have assessed obesity and cognitive impairment, most of these studies focus on body mass index (BMI) and cognitive impairment. Therefore to better understand the importance of weight maintenance with aging, this study investigated the relationship between variations in weight and cognitive impairment using the Korean version of the Mini-Mental State Examination (K-MMSE) in individuals aged 45 years or older in Korea. Methods Data on 3,477 adults with normal cognitive function (K-MMSE ≥24) at baseline were acquired from the Korean Longitudinal Study of Aging (KLoSA) 2006-2016. The association between weight variability and risk of cognitive impairment was assessed using multiple logistic regression models. We also assessed weight variability and change in cognitive function over the 6-year follow-up using multiple linear regression. Results Overall, higher variations in BMI were associated with cognitive impairment. Patients in the quintile with the highest variation (Q5) in BMI (mean of BMI changes, 2.69) showed the greatest degree of cognitive impairments (adjusted odds ratio, 1.52; 95% confidence interval [CI], 1.08-2.14; P for trend=0.016). Furthermore, a higher frequency in the number of times (3 times) the patient’s body weight changed was associated with a lower cognitive function (adjusted odds ratio, 3.42; 95% CI, 1.67-7.03; P for trend<0.001). Conclusion In this nationally representative study, weight variability was associated with a higher risk of cognitive decline during mid- and late-life stages.
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Affiliation(s)
- Eun Mi Bae
- Department of Family Medicine, National Police Hospital, Seoul, Korea
| | - Sang Min Park
- Department of Family Medicine, Seoul National University Hospital, Seoul, Korea.,Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Korea
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33
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Tou NX, Wee SL, Pang BWJ, Lau LK, Jabbar KA, Seah WT, Chen KK, Ng TP. Associations of fat mass and muscle function but not lean mass with cognitive impairment: The Yishun Study. PLoS One 2021; 16:e0256702. [PMID: 34437646 PMCID: PMC8389410 DOI: 10.1371/journal.pone.0256702] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Accepted: 08/12/2021] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Sarcopenia and obesity are reportedly associated with risk of cognitive decline, and sarcopenic obesity (SO) heightens the risk, but the evidence is sparse and inconclusive. This study aimed to examine the association between SO and cognitive impairment. METHODS A total of 542 community-dwelling adults aged between 21 and 90 years were recruited. All participants were assessed for body composition (dual X-ray absorptiometry), handgrip strength (HGS), gait speed (GS), and cognitive function (Repeatable Battery for the Assessment of Neuropsychological Status). Sarcopenia was defined by the presence of low appendicular lean mass index (ALMI) and low HGS or low GS according to the 2019 Asian Working Group for Sarcopenia criteria, and obesity was defined based on the upper two quintiles of fat mass index (FMI). RESULTS Sarcopenia alone or in combination with obesity were not significantly associated with cognitive impairment after controlling for confounding variables. Obesity on its own was significantly associated with greater odds of impaired attention (OR: 2.05, 95%CI 1.12-3.82). Low ALMI was not associated, but low HGS, slow GS, and high FMI were individually associated with cognitive impairment: low HGS and immediate memory (OR: 1.91, 95% CI 1.04-3.49); low GS and immediate memory (OR: 2.17, 95% CI 1.26-3.72); high FMI and attention (OR: 2.06, 95% CI 1.22-3.51). Co-occurring high FMI with either low HGS or slow GS exacerbated the observed odds of global and domain-specific (attention, visuospatial) cognitive impairment. CONCLUSIONS Lean mass is not relevant, whereas muscle strength and physical performance or adiposity are relevant in defining sarcopenia or sarcopenic obesity in terms of their cognitive impacts.
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Affiliation(s)
- Nien Xiang Tou
- Geriatric Education and Research Institute, Singapore, Singapore
| | - Shiou-Liang Wee
- Geriatric Education and Research Institute, Singapore, Singapore
- Health and Social Sciences Cluster, Singapore Institute of Technology, Singapore, Singapore
- Program of Health Services and System Research, Duke-National University of Singapore Medical School, Singapore, Singapore
- * E-mail:
| | | | - Lay Khoon Lau
- Geriatric Education and Research Institute, Singapore, Singapore
| | | | - Wei Ting Seah
- Geriatric Education and Research Institute, Singapore, Singapore
| | | | - Tze Pin Ng
- Geriatric Education and Research Institute, Singapore, Singapore
- Department of Psychological Medicine, National University of Singapore, Singapore, Singapore
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34
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Kokubun K, Pineda JCD, Yamakawa Y. Unhealthy lifestyles and brain condition: Examining the relations of BMI, living alone, alcohol intake, short sleep, smoking, and lack of exercise with gray matter volume. PLoS One 2021; 16:e0255285. [PMID: 34329345 PMCID: PMC8323871 DOI: 10.1371/journal.pone.0255285] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2020] [Accepted: 07/13/2021] [Indexed: 11/19/2022] Open
Abstract
Unhealthy lifestyles are damaging to the brain. Previous studies have indicated that body mass index (BMI), alcohol intake, short sleep, smoking, and lack of exercise are negatively associated with gray matter volume (GMV). Living alone has also been found to be related to GMV through lowered subjective happiness. However, to our knowledge, no GMV study has dealt with these unhealthy lifestyles simultaneously. By our analyses based on 142 healthy Japanese participants, BMI, alcohol intake, living alone, and short sleep were negatively associated with the gray-matter brain healthcare quotient (GM-BHQ), an MRI-based normalized GMV, after controlling for age, sex, and facility, not only individually but also when they were entered into a single regression model. Moreover, there were small but significant differences in the proportion of the variance for GM-BHQ explained by variables in a regression model (measured by R squared) between when these unhealthy variables were entered in an equation at the same time and when they were entered separately, with the former larger than the latter. However, smoking and lack of exercise were not significantly associated with GM-BHQ. Results indicate that some kinds of unhealthy lifestyles are somewhat harmful on their own, but may become more noxious to brain condition if practiced simultaneously, although its difference may not be large. To our knowledge, this study is the first to show that overlapping unhealthy lifestyles affects the brains of healthy adults.
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Affiliation(s)
- Keisuke Kokubun
- Open Innovation Institute, Kyoto University, Kyoto, Japan
- Smart-Aging Research Center, Tohoku University, Sendai, Japan
| | | | - Yoshinori Yamakawa
- Open Innovation Institute, Kyoto University, Kyoto, Japan
- ImPACT Program of Council for Science, Technology and Innovation (Cabinet Office, Government of Japan), Chiyoda, Tokyo, Japan
- Institute of Innovative Research, Tokyo Institute of Technology, Meguro, Tokyo, Japan
- Office for Academic and Industrial Innovation, Kobe University, Kobe, Japan
- Brain Impact, Kyoto, Japan
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35
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Fernández-Andújar M, Morales-García E, García-Casares N. Obesity and Gray Matter Volume Assessed by Neuroimaging: A Systematic Review. Brain Sci 2021; 11:brainsci11080999. [PMID: 34439618 PMCID: PMC8391982 DOI: 10.3390/brainsci11080999] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 07/19/2021] [Accepted: 07/26/2021] [Indexed: 12/03/2022] Open
Abstract
Obesity has become a major public and individual health problem due to its high worldwide prevalence and its relation with comorbid conditions. According to previous studies, obesity is related to an increased risk of cognitive impairment and dementia. This systematic review aims to further examine the present state of the art about the association between obesity and gray matter volume (GMV) as assessed by magnetic resonance imaging (MRI). A search was conducted in Pubmed, SCOPUS and Cochrane of those studies released before 1 February 2021 including MRIs to assess the GMVs in obese participants. From this search, 1420 results were obtained, and 34 publications were finally included. Obesity was mainly measured by the body mass index, although other common types of evaluations were used (e.g., waist circumference, waist-to-hip ratio and plasma leptin levels). The selected neuroimaging analysis methods were voxel-based morphometry (VBM) and cortical thickness (CT), finding 21 and 13 publications, respectively. There were 30 cross-sectional and 2 prospective longitudinal studies, and 2 articles had both cross-sectional and longitudinal designs. Most studies showed a negative association between obesity and GMV. This would have important public health implications, as obesity prevention could avoid a potential risk of GMV reductions, cognitive impairment and dementia.
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Affiliation(s)
| | - Ester Morales-García
- Servicio de Neurología, Hospital Universitario 12 de Octubre, 28041 Madrid, Spain;
| | - Natalia García-Casares
- Department of Medicine, Faculty of Medicine, University of Malaga, 29010 Malaga, Spain
- Centro de Investigaciones Médico-Sanitarias (C.I.M.E.S), University of Malaga, 29010 Malaga, Spain
- Área de Enfermedades cardiovasculares, obesidad y diabetes, Instituto de Investigación Biomédica de Málaga (IBIMA), 29010 Malaga, Spain
- Correspondence: ; Tel.: +34-952-137-354
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Zeighami Y, Iceta S, Dadar M, Pelletier M, Nadeau M, Biertho L, Lafortune A, Tchernof A, Fulton S, Evans A, Richard D, Dagher A, Michaud A. Spontaneous neural activity changes after bariatric surgery: A resting-state fMRI study. Neuroimage 2021; 241:118419. [PMID: 34302967 DOI: 10.1016/j.neuroimage.2021.118419] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Revised: 06/24/2021] [Accepted: 07/20/2021] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Metabolic disorders associated with obesity could lead to alterations in brain structure and function. Whether these changes can be reversed after weight loss is unclear. Bariatric surgery provides a unique opportunity to address these questions because it induces marked weight loss and metabolic improvements which in turn may impact the brain in a longitudinal fashion. Previous studies found widespread changes in grey matter (GM) and white matter (WM) after bariatric surgery. However, findings regarding changes in spontaneous neural activity following surgery, as assessed with the fractional amplitude of low frequency fluctuations (fALFF) and regional homogeneity of neural activity (ReHo), are scarce and heterogenous. In this study, we used a longitudinal design to examine the changes in spontaneous neural activity after bariatric surgery (comparing pre- to post-surgery), and to determine whether these changes are related to cardiometabolic variables. METHODS The study included 57 participants with severe obesity (mean BMI=43.1 ± 4.3 kg/m2) who underwent sleeve gastrectomy (SG), biliopancreatic diversion with duodenal switch (BPD), or Roux-en-Y gastric bypass (RYGB), scanned prior to bariatric surgery and at follow-up visits of 4 months (N = 36), 12 months (N = 29), and 24 months (N = 14) after surgery. We examined fALFF and ReHo measures across 1022 cortical and subcortical regions (based on combined Schaeffer-Xiao parcellations) using a linear mixed effect model. Voxel-based morphometry (VBM) based on T1-weighted images was also used to measure GM density in the same regions. We also used an independent sample from the Human Connectome Project (HCP) to assess regional differences between individuals who had normal-weight (N = 46) or severe obesity (N = 46). RESULTS We found a global increase in the fALFF signal with greater increase within dorsolateral prefrontal cortex, precuneus, inferior temporal gyrus, and visual cortex. This effect was more significant 4 months after surgery. The increase within dorsolateral prefrontal cortex, temporal gyrus, and visual cortex was more limited after 12 months and only present in the visual cortex after 24 months. These increases in neural activity measured by fALFF were also significantly associated with the increase in GM density following surgery. Furthermore, the increase in neural activity was significantly related to post-surgery weight loss and improvement in cardiometabolic variables, such as blood pressure. In the independent HCP sample, normal-weight participants had higher global and regional fALFF signals, mainly in dorsolateral/medial frontal cortex, precuneus and middle/inferior temporal gyrus compared to the obese participants. These BMI-related differences in fALFF were associated with the increase in fALFF 4 months post-surgery especially in regions involved in control, default mode and dorsal attention networks. CONCLUSIONS Bariatric surgery-induced weight loss and improvement in metabolic factors are associated with widespread global and regional increases in neural activity, as measured by fALFF signal. These findings alongside the higher fALFF signal in normal-weight participants compared to participants with severe obesity in an independent dataset suggest an early recovery in the neural activity signal level after the surgery.
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Affiliation(s)
- Yashar Zeighami
- Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, Canada; Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, Canada
| | - Sylvain Iceta
- Centre de recherche de l'Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval, Québec, Canada
| | - Mahsa Dadar
- CERVO Brain Research Center, Centre intégré universitaire santé et services sociaux de la Capitale Nationale, Université Laval, Québec, Canada
| | - Mélissa Pelletier
- Centre de recherche de l'Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval, Québec, Canada
| | - Mélanie Nadeau
- Centre de recherche de l'Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval, Québec, Canada
| | - Laurent Biertho
- Département de chirurgie générale, Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval, Québec, Canada
| | - Annie Lafortune
- Département de chirurgie générale, Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval, Québec, Canada
| | - André Tchernof
- Centre de recherche de l'Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval, Québec, Canada
| | - Stephanie Fulton
- Centre de Recherche du CHUM and Montreal Diabetes Research Center, Montreal, QC, Canada
| | - Alan Evans
- Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, Canada; Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, Canada
| | - Denis Richard
- Centre de recherche de l'Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval, Québec, Canada
| | - Alain Dagher
- Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| | - Andréanne Michaud
- Centre de recherche de l'Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval, Québec, Canada.
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Daoust J, Schaffer J, Zeighami Y, Dagher A, García-García I, Michaud A. White matter integrity differences in obesity: A meta-analysis of diffusion tensor imaging studies. Neurosci Biobehav Rev 2021; 129:133-141. [PMID: 34284063 DOI: 10.1016/j.neubiorev.2021.07.020] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 06/07/2021] [Accepted: 07/15/2021] [Indexed: 01/17/2023]
Abstract
Some Diffusion Tensor Imaging studies have shown a loss of white matter (WM) integrity linked to impaired cognitive function in obese individuals. However, inconsistent WM integrity changes have been reported. We aimed to identify which WM tracts show consistent changes with obesity. We conducted a systematic search to find studies examining the association between obesity-related measures and Fractional Anisotropy (FA) or Mean Diffusivity. We performed a meta-analysis with FA datasets using Anisotropic Effect Size-Signed Differential Mapping software. The meta-analysis showed that increased obesity measurements were related to reduced FA in the genu of the corpus callosum. We validated our findings using an independent sample from the Human Connectome Project dataset, which supports lower FA in this region in individuals with obesity compared to those with normal weight (p = 0.028). Our findings provide evidence that obesity is associated with reduced WM integrity in the genu of the corpus callosum, a tract linking frontal areas involved in executive function. Future studies are needed on the mechanisms linking obesity with loss of WM integrity.
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Affiliation(s)
- Justine Daoust
- Research Center of the Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval, 2725 chemin Sainte-Foy, Québec, Québec, G1V 4G5, Canada; School of Nutrition, Université Laval, 2325 rue de l'Université, Québec, Québec, G1V 0A6, Canada
| | - Joelle Schaffer
- Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, 3801 University Street, Montreal, Québec, H3A 2B4, Canada
| | - Yashar Zeighami
- Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, 3801 University Street, Montreal, Québec, H3A 2B4, Canada
| | - Alain Dagher
- Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, 3801 University Street, Montreal, Québec, H3A 2B4, Canada
| | - Isabel García-García
- Department of Clinical Psychology and Psychobiology, University of Barcelona, Gran Via de les Corts Catalanes, 585, 08007, Barcelona, Spain
| | - Andréanne Michaud
- Research Center of the Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval, 2725 chemin Sainte-Foy, Québec, Québec, G1V 4G5, Canada; School of Nutrition, Université Laval, 2325 rue de l'Université, Québec, Québec, G1V 0A6, Canada.
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Bayer D, Antonucci S, Müller HP, Saad R, Dupuis L, Rasche V, Böckers TM, Ludolph AC, Kassubek J, Roselli F. Disruption of orbitofrontal-hypothalamic projections in a murine ALS model and in human patients. Transl Neurodegener 2021; 10:17. [PMID: 34059131 PMCID: PMC8168014 DOI: 10.1186/s40035-021-00241-6] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 05/11/2021] [Indexed: 12/12/2022] Open
Abstract
Background Increased catabolism has recently been recognized as a clinical manifestation of amyotrophic lateral sclerosis (ALS). The hypothalamic systems have been shown to be involved in the metabolic dysfunction in ALS, but the exact extent of hypothalamic circuit alterations in ALS is yet to be determined. Here we explored the integrity of large-scale cortico-hypothalamic circuits involved in energy homeostasis in murine models and in ALS patients. Methods The rAAV2-based large-scale projection mapping and image analysis pipeline based on Wholebrain and Ilastik software suites were used to identify and quantify projections from the forebrain to the lateral hypothalamus in the SOD1(G93A) ALS mouse model (hypermetabolic) and the FusΔNLS ALS mouse model (normo-metabolic). 3 T diffusion tensor imaging (DTI)-magnetic resonance imaging (MRI) was performed on 83 ALS and 65 control cases to investigate cortical projections to the lateral hypothalamus (LHA) in ALS. Results Symptomatic SOD1(G93A) mice displayed an expansion of projections from agranular insula, ventrolateral orbitofrontal and secondary motor cortex to the LHA. These findings were reproduced in an independent cohort by using a different analytic approach. In contrast, in the FusΔNLS ALS mouse model hypothalamic inputs from insula and orbitofrontal cortex were maintained while the projections from motor cortex were lost. The DTI-MRI data confirmed the disruption of the orbitofrontal-hypothalamic tract in ALS patients. Conclusion This study provides converging murine and human data demonstrating the selective structural disruption of hypothalamic inputs in ALS as a promising factor contributing to the origin of the hypermetabolic phenotype. Supplementary Information The online version contains supplementary material available at 10.1186/s40035-021-00241-6.
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Affiliation(s)
- David Bayer
- Department of Neurology, Ulm University, Ulm, Germany.,CEMMA (Cellular and Molecular Mechanisms in Aging) Research Training Group, Ulm, Germany
| | | | | | - Rami Saad
- Department of Neurology, Ulm University, Ulm, Germany
| | - Luc Dupuis
- University of Strasbourg, Strasbourg, France
| | - Volker Rasche
- Department of Internal Medicine II, Ulm University Medical Centre, Ulm, Germany
| | - Tobias M Böckers
- Institute of Anatomy and Cell Biology, Ulm University, Ulm, Germany.,German Center for Neurodegenerative Diseases-DZNE, Ulm, Germany
| | - Albert C Ludolph
- Department of Neurology, Ulm University, Ulm, Germany.,German Center for Neurodegenerative Diseases-DZNE, Ulm, Germany
| | - Jan Kassubek
- Department of Neurology, Ulm University, Ulm, Germany.,German Center for Neurodegenerative Diseases-DZNE, Ulm, Germany
| | - Francesco Roselli
- Department of Neurology, Ulm University, Ulm, Germany. .,German Center for Neurodegenerative Diseases-DZNE, Ulm, Germany.
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Mallorquí-Bagué N, Lozano-Madrid M, Vintró-Alcaraz C, Forcano L, Díaz-López A, Galera A, Fernández-Carrión R, Granero R, Jiménez-Murcia S, Corella D, Pintó X, Cuenca-Royo A, Bulló M, Salas-Salvadó J, de la Torre R, Fernández-Aranda F. Effects of a psychosocial intervention at one-year follow-up in a PREDIMED-plus sample with obesity and metabolic syndrome. Sci Rep 2021; 11:9144. [PMID: 33911087 PMCID: PMC8080657 DOI: 10.1038/s41598-021-88298-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Accepted: 04/08/2021] [Indexed: 12/12/2022] Open
Abstract
This study examines if overweight/obesity are related to higher impulsivity, food addiction and depressive symptoms, and if these variables could be modified after 1 year of a multimodal intervention (diet, physical activity, psychosocial support). 342 adults (55-75 years) with overweight/obesity and metabolic syndrome (MetS) from the PREDIMED-Plus Cognition study were randomized to the intervention or to the control group (lifestyle recommendations). Cognitive and psychopathological assessments were performed at baseline and after 1-year follow-up. At baseline, higher impulsivity was linked to higher food addiction and depressive symptoms, but not to body mass index (BMI). Food addiction not only predicted higher BMI and depressive symptoms, but also achieved a mediational role between impulsivity and BMI/depressive symptoms. After 1 year, patients in both groups reported significant decreases in BMI, food addiction and impulsivity. BMI reduction and impulsivity improvements were higher in the intervention group. Higher BMI decrease was achieved in individuals with lower impulsivity. Higher scores in food addiction were also related to greater post-treatment impulsivity. To conclude, overweight/obesity are related to higher impulsivity, food addiction and depressive symptoms in mid/old age individuals with MetS. Our results also highlight the modifiable nature of the studied variables and the interest of promoting multimodal interventions within this population.
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Affiliation(s)
- Núria Mallorquí-Bagué
- Addictive Behaviours Unit, Department of Psychiatry, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain
- Department of Psychiatry, University Hospital of Bellvitge-IDIBELL, Feixa Llarga S/N, L'Hospitalet del Llobregat, 08907, Barcelona, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - María Lozano-Madrid
- Department of Psychiatry, University Hospital of Bellvitge-IDIBELL, Feixa Llarga S/N, L'Hospitalet del Llobregat, 08907, Barcelona, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Cristina Vintró-Alcaraz
- Department of Psychiatry, University Hospital of Bellvitge-IDIBELL, Feixa Llarga S/N, L'Hospitalet del Llobregat, 08907, Barcelona, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Laura Forcano
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Integrative Pharmacology and Neurosciences Systems, Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Dr. Aiguder 88, 08003, Barcelona, Spain
| | - Andrés Díaz-López
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Serra Hunter Fellow, Universitat Rovira i Virgili (URV), Reus, Spain
| | - Ana Galera
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, University Hospital of Bellvitge, Hospitalet de Llobregat, Barcelona, Spain
| | - Rebeca Fernández-Carrión
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Roser Granero
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Departament de Psicobiologia i Metodologia, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Barcelona, Spain
| | - Susana Jiménez-Murcia
- Department of Psychiatry, University Hospital of Bellvitge-IDIBELL, Feixa Llarga S/N, L'Hospitalet del Llobregat, 08907, Barcelona, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Hospitalet de Llobregat, Barcelona, Spain
| | - Dolores Corella
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Xavier Pintó
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, University Hospital of Bellvitge, Hospitalet de Llobregat, Barcelona, Spain
| | - Aida Cuenca-Royo
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Integrative Pharmacology and Neurosciences Systems, Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Dr. Aiguder 88, 08003, Barcelona, Spain
| | - Mònica Bulló
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Jordi Salas-Salvadó
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain
| | - Rafael de la Torre
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
- Integrative Pharmacology and Neurosciences Systems, Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Dr. Aiguder 88, 08003, Barcelona, Spain.
- Departament de Ciències, Experimentals i de la Salut Universitat Pompeu Fabra (CEXS-UPF), Barcelona, Spain.
| | - Fernando Fernández-Aranda
- Department of Psychiatry, University Hospital of Bellvitge-IDIBELL, Feixa Llarga S/N, L'Hospitalet del Llobregat, 08907, Barcelona, Spain.
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
- Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Hospitalet de Llobregat, Barcelona, Spain.
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Kronschnabl JM, Kneip T, Weiss LM, Bergmann M. Bodyweight change and cognitive performance in the older population. PLoS One 2021; 16:e0249651. [PMID: 33882068 PMCID: PMC8059803 DOI: 10.1371/journal.pone.0249651] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 03/22/2021] [Indexed: 11/18/2022] Open
Abstract
Preservation of cognitive function is one of the major concerns in contemporary ageing societies. At the same time, overweight and obesity, which have been identified as risk factors for poor health development, have been increasing in many countries all over the world. This study examines the relationship between bodyweight change and cognitive decline in old age and it aims to determine whether and how changes in body mass index (BMI) affect the development of cognitive functioning in old age. Using longitudinal data from the Survey of Health, Ageing and Retirement in Europe (SHARE), covering four waves between 2006 and 2016 with 58,389 participants from 15 countries aged 50+, we estimated asymmetric fixed effects models by gender, adding possible confounding variables such as age, grip strength, health conditions, and physical activity. Additionally, we investigated possible heterogeneity in the BMI-cognition relation. We found a positive association between BMI change and change in cognitive performance, which was dominantly driven by BMI decrease. Weight loss was typically negatively related to cognition, particularly at low levels of BMI and mainly due to health conditions affecting both bodyweight and cognitive performance. Weight gain was, on average, not significantly related to cognitive performance; only respondents with preceding weight loss profited from small increases in BMI. Our analyses provide no support for an “obesity paradox” in cognition, according to which higher weight preserves cognition in old age. The association between weight change and cognitive performance in older age is based on weight changes being related to illness and recovery.
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Affiliation(s)
- Judith M. Kronschnabl
- Munich Center for the Economics of Aging (MEA), Max Planck Institute for Social Law and Social Policy, Munich, Germany
- * E-mail:
| | - Thorsten Kneip
- Munich Center for the Economics of Aging (MEA), Max Planck Institute for Social Law and Social Policy, Munich, Germany
| | - Luzia M. Weiss
- Munich Center for the Economics of Aging (MEA), Max Planck Institute for Social Law and Social Policy, Munich, Germany
| | - Michael Bergmann
- Munich Center for the Economics of Aging (MEA), Max Planck Institute for Social Law and Social Policy, Munich, Germany
- Technical University of Munich (TUM), Chair for the Economics of Aging, Munich, Germany
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Reia A, Petruzzo M, Falco F, Costabile T, Conenna M, Carotenuto A, Petracca M, Servillo G, Lanzillo R, Brescia Morra V, Moccia M. A Retrospective Exploratory Analysis on Cardiovascular Risk and Cognitive Dysfunction in Multiple Sclerosis. Brain Sci 2021; 11:502. [PMID: 33923390 PMCID: PMC8071566 DOI: 10.3390/brainsci11040502] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2021] [Revised: 03/22/2021] [Accepted: 04/13/2021] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Cardiovascular comorbidities have been associated with cognitive decline in the general population. OBJECTIVES To evaluate the associations between cardiovascular risk and neuropsychological performances in MS. METHODS This is a retrospective study, including 69 MS patients. For all patients, we calculated the Framingham risk score, which provides the 10-year probability of developing macrovascular disease, using age, sex, diabetes, smoking, systolic blood pressure, and cholesterol levels as input variables. Cognitive function was examined with the Brief International Cognitive Assessment for MS (BICAMS), including the Symbol Digit Modalities Test (SDMT), the California Verbal Learning Test-II (CVLT-II), and the Brief Visuospatial Memory Test-Revised (BVMT-R). RESULTS Each point increase of the Framingham risk score corresponded to 0.21 lower CVLT-II score. Looking at Framingham risk score components, male sex and higher total cholesterol levels corresponded to lower CVLT scores (Coeff = -8.54; 95%CI = -15.51, -1.57; and Coeff = -0.11; 95%CI = -0.20, -0.02, respectively). No associations were found between cardiovascular risk and SDMT or BVMT-R. CONCLUSIONS In our exploratory analyses, cardiovascular risk was associated with verbal learning dysfunction in MS. Lifestyle and pharmacological interventions on cardiovascular risk factors should be considered carefully in the management of MS, given the possible effects on cognitive function.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Marcello Moccia
- Department of Neurosciences, Reproductive Science and Odontostomatology, Federico II University, 80131 Naples, Italy; (A.R.); (M.P.); (F.F.); (T.C.); (M.C.); (A.C.); (M.P.); (G.S.); (R.L.); (V.B.M.)
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Stickel AM, McKinnon AC, Matijevic S, Grilli MD, Ruiz J, Ryan L. Apolipoprotein E ε4 Allele-Based Differences in Brain Volumes Are Largely Uniform Across Late Middle Aged and Older Hispanic/Latino- and Non-Hispanic/Latino Whites Without Dementia. Front Aging Neurosci 2021; 13:627322. [PMID: 33716715 PMCID: PMC7952627 DOI: 10.3389/fnagi.2021.627322] [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: 11/09/2020] [Accepted: 02/01/2021] [Indexed: 12/01/2022] Open
Abstract
Hispanics/Latinos are at an equal or a greater risk for Alzheimer's disease (AD), yet risk factors remain more poorly characterized as compared to non-Hispanic/Latino Whites. Among non-Hispanic/Latino White cohorts, the apolipoprotein E (APOE) ε4 allele is one of the strongest risk factors for AD with subtle declines in episodic memory and brain volumes detectable in the preclinical stages. We examined whether the APOE ε4 status had a differential impact on cognition and brain volumes among cognitively healthy and mild cognitively impaired Hispanics/Latinos (n = 86; ε4 n = 23) compared to a well-matched group of non-Hispanic/Latino Whites (n = 92; ε4 n = 29). Neither the APOE ε4 status nor the interaction between the ε4 status and ethnicity was associated with cognitive performance. The APOE ε4 status was associated with white matter and not with gray matter volumes. APOE ε4 carriers had a significantly smaller total brain white matter volumes, as well as smaller right middle temporal and left superior temporal volumes. The Hispanics/Latinos had significantly smaller left middle frontal gray matter volumes, yet marginally larger overall white matter volumes, than the non-Hispanic/Latino Whites. Exploratory analysis within the Hispanic/Latino sample found that those people whose primary language was Spanish had larger total brain white matter volumes compared primarily to the English speakers. Importantly, primary language differences only held for Hispanic/Latino ε4 carriers and did not differentiate Hispanic/Latino non-carriers, underscoring the need for further investigation into the impacts of language and acculturation on cognitive aging among the fastest growing ethnic minority group in the United States.
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Affiliation(s)
- Ariana M. Stickel
- Department of Psychology, University of Arizona, Tucson, AZ, United States
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, United States
| | - Andrew C. McKinnon
- Department of Psychology, University of Arizona, Tucson, AZ, United States
- Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
| | | | - Matthew D. Grilli
- Department of Psychology, University of Arizona, Tucson, AZ, United States
| | - John Ruiz
- Department of Psychology, University of Arizona, Tucson, AZ, United States
| | - Lee Ryan
- Department of Psychology, University of Arizona, Tucson, AZ, United States
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Thapaliya G, Chen L, Jansen E, Smith KR, Sadler JR, Benson L, Papantoni A, Carnell S. Familial Obesity Risk and Current Excess Weight Influence Brain Structure in Adolescents. Obesity (Silver Spring) 2021; 29:184-193. [PMID: 33280265 PMCID: PMC7902426 DOI: 10.1002/oby.23042] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 08/17/2020] [Accepted: 09/07/2020] [Indexed: 11/10/2022]
Abstract
OBJECTIVE Obesity risk transmits from parents to children. Underlying neural mechanisms were investigated in this study by evaluating influences of familial obesity risk defined by maternal obesity and influences of current overweight on three indices of brain structure in adolescents. METHODS In total, 22 lean adolescents with lean mothers (lean low-risk), 25 lean adolescents with mothers with obesity/overweight (lean high-risk), and 36 adolescents with obesity/overweight underwent structural MRI scans for estimation of regional gray and white matter volume and cortical thickness. RESULTS The lean high-risk compared with the lean low-risk group demonstrated lower gray and white matter volume and cortical thickness in the postcentral gyrus (somatosensory cortex), lower gray and white matter volume in the opercular cortex (taste cortex), lower gray matter volume and cortical thickness in the anterior cingulate cortex, and lower cortical thickness in the precuneus. Comparisons of the lean and obesity/overweight groups revealed further structural alterations in the postcentral gyrus, posterior cingulate gyrus, and middle temporal gyrus. CONCLUSIONS Familial obesity risk and current obesity/overweight were associated with overlapping and distinct patterns of brain structure alterations. Longitudinal studies are warranted to investigate whether structural changes associated with familial obesity risk predict future weight trajectories.
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Affiliation(s)
- Gita Thapaliya
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Liuyi Chen
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Elena Jansen
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Kimberly R Smith
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Jennifer R Sadler
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Leora Benson
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Afroditi Papantoni
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Susan Carnell
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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Stickel AM, Tarraf W, Gonzalez KA, Isasi CR, Kaplan R, Gallo LC, Zeng D, Cai J, Pirzada A, Daviglus ML, Goodman ZT, Schneiderman N, González HM. Central Obesity, Cardiometabolic Risk, and Cognitive Change in the Study of Latinos - Investigation of Neurocognitive Aging. J Alzheimers Dis 2021; 82:1203-1218. [PMID: 34151803 PMCID: PMC10792520 DOI: 10.3233/jad-210314] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND The relationships between obesity and cognitive decline in aging are mixed and understudied among Hispanics/Latinos. OBJECTIVE To understand associations between central obesity, cognitive aging, and the role of concomitant cardiometabolic abnormalities among Hispanics/Latinos. METHODS Participants included 6,377 diverse Hispanics/Latinos enrolled in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) and SOL-Investigation for Neurocognitive Aging (SOL-INCA). Participants were 45 years and older at the first cognitive testing session (Visit 1). Cognitive outcomes (z-score units) included global composite and domain specific (learning, memory, executive functioning, processing speed) measures at a second visit (SOL-INCA, on average, 7 years later), and 7-year change. We used survey linear regression to examine associations between central obesity (waist circumference≥88 cm and≥102 cm for women and men, respectively) and cognition. We also tested whether the relationships between obesity and cognition differed by cardiometabolic status (indication of/treatment for 2 + of the following: high triglycerides, hypertension, hyperglycemia, low high-density lipoprotein cholesterol). RESULTS Central obesity was largely unassociated with cognitive outcomes, adjusting for covariates. However, among individuals with central obesity, cardiometabolic abnormality was linked to poorer cognitive function at SOL-INCA (ΔGlobalCognition =-0.165, p < 0.001) and to more pronounced cognitive declines over the average 7 years (ΔGlobalCognition = -0.109, p < 0.05); this was consistent across cognitive domains. CONCLUSION Central obesity alone was not associated with cognitive function. However, presence of both central obesity and cardiometabolic abnormalities was robustly predictive of cognition and 7-year cognitive declines, suggesting that in combination these factors may alter the cognitive trajectories of middle-aged and older Hispanics/Latinos.
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Affiliation(s)
- Ariana M. Stickel
- Department of Neurosciences and Shiley-Marcos Alzheimer’s Disease Research Center, University of California, San Diego, La Jolla, CA
| | - Wassim Tarraf
- Institute of Gerontology & Department of Healthcare Sciences, Wayne State University, Detroit, Michigan
| | - Kevin A. Gonzalez
- Department of Neurosciences and Shiley-Marcos Alzheimer’s Disease Research Center, University of California, San Diego, La Jolla, CA
| | - Carmen R. Isasi
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine
| | - Robert Kaplan
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine
| | - Linda C. Gallo
- Department of Psychology, San Diego State University, San Diego, CA
| | - Donglin Zeng
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC
| | - Jianwen Cai
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC
| | - Amber Pirzada
- Institute for Minority Health Research, University of Illinois at Chicago, College of Medicine, Chicago, IL
| | - Martha L. Daviglus
- Institute for Minority Health Research, University of Illinois at Chicago, College of Medicine, Chicago, IL
| | | | | | - Hector M. González
- Department of Neurosciences and Shiley-Marcos Alzheimer’s Disease Research Center, University of California, San Diego, La Jolla, CA
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45
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McKinnon AC, Stickel A, Ryan L. Cardiovascular risk factors and APOE-ε4 status affect memory functioning in aging via changes to temporal stem diffusion. J Neurosci Res 2020; 99:502-517. [PMID: 33070365 DOI: 10.1002/jnr.24734] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 07/28/2020] [Accepted: 09/02/2020] [Indexed: 01/08/2023]
Abstract
Prior research investigating associations between hypertension, obesity, and apolipoprotein (APOE) genotype status with memory performance among older adults has yielded inconsistent results. This may reflect, in part, a lack of first accounting for the effects these variables have on structural brain changes, that in turn contribute to age-related memory impairment. The current study sought to clarify the relationships between these factors via path modeling. We hypothesized that higher body mass index (BMI), hypertension, and being an APOE-ε4 allele carrier would predict poorer memory scores, with much of these effects accounted for by indirect effects operating via differences in the integrity of temporal stem white matter. Participants included 125 healthy older adults who underwent neuropsychological assessment and diffusion-weighted MRI scanning. Direct effects were found for hypertension and demographic variables including age, sex, and education. Importantly, indirect effects were found for BMI, hypertension, APOE-ε4 status, age, and sex, where these factors predicted memory scores via their impact on temporal stem diffusion measures. There was also a dual effect of sex, with a direct effect indicating that females had better memory performance overall, and an indirect effect indicating that females with greater temporal stem diffusion had poorer memory performance. Results suggest that changes to the integrity of temporal white matter in aging may underpin reduced memory performance. These results highlight that accounting for variables that not only directly impact cognition, but also for those that indirectly impact cognition via structural brain changes, is crucial for understanding the impact of risk factors on cognition.
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Affiliation(s)
- Andrew C McKinnon
- Cognition and Neuroimaging Laboratory, Department of Psychology, University of Arizona, Tucson, AZ, USA.,Healthy Brain Ageing Program, School of Psychology, University of Sydney, Sydney, NSW, Australia.,Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Ariana Stickel
- Cognition and Neuroimaging Laboratory, Department of Psychology, University of Arizona, Tucson, AZ, USA.,Department of Neurosciences, University of California, San Diego, CA, USA
| | - Lee Ryan
- Cognition and Neuroimaging Laboratory, Department of Psychology, University of Arizona, Tucson, AZ, USA
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46
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Restivo MR, Hall GB, Frey BN, McKinnon MC, Taylor VH. Neural correlates of verbal recognition memory in obese adults with and without major depressive disorder. Brain Behav 2020; 10:e01848. [PMID: 32964681 PMCID: PMC7749585 DOI: 10.1002/brb3.1848] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2019] [Revised: 08/18/2020] [Accepted: 08/22/2020] [Indexed: 01/20/2023] Open
Abstract
BACKGROUND Obesity and major depressive disorder (MDD) independently contribute to memory impairment. Little is known about shared neural mechanisms that may result in the cognitive impairment experienced by these populations. This study's aim was to determine how obesity impacts neural activity during a verbal recognition memory task in individuals both with and without MDD. METHODS Functional magnetic resonance imaging was employed to examine whether differences in neural activation patterns would be seen across three groups during the Warrington's Recognition Memory Test. Three study groups are reported: 20 subjects with obesity but without MDD (bariatric controls), 23 subjects with past or current MDD and obesity, and 20 normal BMI controls (healthy controls). RESULTS Three-group conjunction analyses indicated that overlapping neural regions were activated during both encoding and retrieval processes across all groups. However, second-level 2-group t-contrasts indicated that neural activation patterns differed when comparing healthy and bariatric controls, and when comparing bariatric controls and bariatric MDD participants. DISCUSSION Results indicate that obesity in conjunction with MDD confers a subtle impact on neural functioning. Given high rates of obesity and MDD comorbidity, and the role of cognition on ability to return to premorbid level of functioning, this association should inform treatment decisions.
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Affiliation(s)
- Maria R. Restivo
- Women’s College Research InstituteWomen’s College HospitalTorontoONCanada
| | - Geoffrey B. Hall
- Department of Psychology, Neuroscience & BehaviourMcMaster UniversityHamiltonONCanada
| | - Benicio N. Frey
- Department of Psychiatry and Behavioural NeurosciencesMcMaster UniversityHamiltonONCanada
| | - Margaret C. McKinnon
- Department of Psychiatry and Behavioural NeurosciencesMcMaster UniversityHamiltonONCanada
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Chen EY, Eickhoff SB, Giovannetti T, Smith DV. Obesity is associated with reduced orbitofrontal cortex volume: A coordinate-based meta-analysis. Neuroimage Clin 2020; 28:102420. [PMID: 32961404 PMCID: PMC7509458 DOI: 10.1016/j.nicl.2020.102420] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Revised: 09/03/2020] [Accepted: 09/04/2020] [Indexed: 01/01/2023]
Abstract
Neural models of obesity vary in their focus upon prefrontal and striatal differences. Animal and human studies suggest that differential functioning of the orbitofrontal cortex is associated with obesity. However, meta-analyses of functional neuroimaging studies have not found a clear relationship between the orbitofrontal cortex and obesity. Meta-analyses of structural imaging studies of obesity have shown mixed findings with regards to an association with reduced orbitofrontal cortex gray matter volume. To clarify these findings, we conducted a meta-analysis of 25 voxel-based morphometry studies, and found that greater body mass index is associated with decreased gray matter volume in the right orbitofrontal cortex (Brodmanns' areas 10 and 11), where family-wise corrected p < .05, N = 7,612. Use of the right orbitofrontal cortex as a seed in a Neurosynth Network Coactivation analysis showed that this region is associated with activity in the left frontal medial cortex, left temporal lobe, right precuneus cortex, posterior division of the left middle temporal gyrus, and right frontal pole. When Neurosynth Network Coactivation results were submitted as regions of interest in the Human Connectome Project data, we found that greater body mass index was associated with greater activity in left frontal medial cortex response to the Gambling Task, where p < .05, although this did not survive Bonferroni-correction. Our findings highlight the importance of the orbitofrontal cortex structure and functioning in neural models of obesity. Exploratory analyses suggest more studies are needed that examine the functional significance of reduced orbitofrontal cortex gray matter volume in obesity, and the effect of age and weight changes on this relationship using longitudinal designs.
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Affiliation(s)
| | - Simon B Eickhoff
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Germany
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48
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Seabrook LT, Borgland SL. The orbitofrontal cortex, food intake and obesity. J Psychiatry Neurosci 2020; 45:304-312. [PMID: 32167268 PMCID: PMC7850155 DOI: 10.1503/jpn.190163] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Revised: 11/30/2019] [Accepted: 12/09/2019] [Indexed: 12/16/2022] Open
Abstract
Obesity is a major health challenge facing many people throughout the world. Increased consumption of palatable, high-caloric foods is one of the major drivers of obesity. Both orexigenic and anorexic states have been thoroughly reviewed elsewhere; here, we focus on the cognitive control of feeding in the context of obesity, and how the orbitofrontal cortex (OFC) is implicated, based on data from preclinical and clinical research. The OFC is important in decision-making and has been heavily researched in neuropsychiatric illnesses such as addiction and obsessive–compulsive disorder. However, activity in the OFC has only recently been described in research into food intake, obesity and eating disorders. The OFC integrates sensory modalities such as taste, smell and vision, and it has dense reciprocal projections into thalamic, midbrain and striatal regions to fine-tune decision-making. Thus, the OFC may be anatomically and functionally situated to play a critical role in the etiology and maintenance of excess feeding behaviour. We propose that the OFC serves as an integrative hub for orchestrating motivated feeding behaviour and suggest how its neurobiology and functional output might be altered in the obese state.
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Affiliation(s)
- Lauren T. Seabrook
- From the Department of Physiology and Pharmacology, University of Calgary, Calgary, Alta., Canada (Seabrook, Borgland)
| | - Stephanie L. Borgland
- From the Department of Physiology and Pharmacology, University of Calgary, Calgary, Alta., Canada (Seabrook, Borgland)
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Goldstein BI, Baune BT, Bond DJ, Chen P, Eyler L, Fagiolini A, Gomes F, Hajek T, Hatch J, McElroy SL, McIntyre RS, Prieto M, Sylvia LG, Tsai S, Kcomt A, Fiedorowicz JG. Call to action regarding the vascular-bipolar link: A report from the Vascular Task Force of the International Society for Bipolar Disorders. Bipolar Disord 2020; 22:440-460. [PMID: 32356562 PMCID: PMC7522687 DOI: 10.1111/bdi.12921] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
OBJECTIVES The association of bipolar disorder with early and excessive cardiovascular disease was identified over a century ago. Nonetheless, the vascular-bipolar link remains underrecognized, particularly with regard to how this link can contribute to our understanding of pathogenesis and treatment. METHODS An international group of experts completed a selective review of the literature, distilling core themes, identifying limitations and gaps in the literature, and highlighting future directions to bridge these gaps. RESULTS The association between bipolar disorder and vascular disease is large in magnitude, consistent across studies, and independent of confounding variables where assessed. The vascular-bipolar link is multifactorial and is difficult to study given the latency between the onset of bipolar disorder, often in adolescence or early adulthood, and subsequent vascular disease, which usually occurs decades later. As a result, studies have often focused on risk factors for vascular disease or intermediate phenotypes, such as structural and functional vascular imaging measures. There is interest in identifying the most relevant mediators of this relationship, including lifestyle (eg, smoking, diet, exercise), medications, and systemic biological mediators (eg, inflammation). Nonetheless, there is a paucity of treatment studies that deliberately engage these mediators, and thus far no treatment studies have focused on engaging vascular imaging targets. CONCLUSIONS Further research focused on the vascular-bipolar link holds promise for gleaning insights regarding the underlying causes of bipolar disorder, identifying novel treatment approaches, and mitigating disparities in cardiovascular outcomes for people with bipolar disorder.
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Affiliation(s)
- Benjamin I. Goldstein
- Centre for Youth Bipolar DisorderSunnybrook Health Sciences CentreTorontoONCanada,Departments of Psychiatry & PharmacologyFaculty of MedicineUniversity of TorontoTorontoONCanada
| | - Bernhard T. Baune
- Department of Psychiatry and PsychotherapyUniversity of MünsterMünsterGermany,Department of PsychiatryMelbourne Medical SchoolThe University of MelbourneMelbourneVICAustralia,The Florey Institute of Neuroscience and Mental HealthThe University of MelbourneParkvilleVICAustralia
| | - David J. Bond
- Department of Psychiatry and Behavioral ScienceUniversity of Minnesota Medical SchoolMinneapolisMNUSA
| | - Pao‐Huan Chen
- Department of PsychiatryTaipei Medical University HospitalTaipeiTaiwan,Department of PsychiatrySchool of MedicineCollege of MedicineTaipei Medical UniversityTaipeiTaiwan
| | - Lisa Eyler
- Department of PsychiatryUniversity of California San DiegoSan DiegoCAUSA
| | | | - Fabiano Gomes
- Department of PsychiatryQueen’s University School of MedicineKingstonONCanada
| | - Tomas Hajek
- Department of PsychiatryDalhousie UniversityHalifaxNSCanada,National Institute of Mental HealthKlecanyCzech Republic
| | - Jessica Hatch
- Centre for Youth Bipolar DisorderSunnybrook Health Sciences CentreTorontoONCanada,Departments of Psychiatry & PharmacologyFaculty of MedicineUniversity of TorontoTorontoONCanada
| | - Susan L. McElroy
- Department of Psychiatry and Behavioral NeuroscienceUniversity of Cincinnati College of MedicineCincinnatiOHUSA,Lindner Center of HOPEMasonOHUSA
| | - Roger S. McIntyre
- Departments of Psychiatry & PharmacologyFaculty of MedicineUniversity of TorontoTorontoONCanada,Mood Disorders Psychopharmacology UnitUniversity Health NetworkTorontoONCanada
| | - Miguel Prieto
- Department of PsychiatryFaculty of MedicineUniversidad de los AndesSantiagoChile,Mental Health ServiceClínica Universidad de los AndesSantiagoChile,Department of Psychiatry and PsychologyMayo Clinic College of Medicine and ScienceRochesterMNUSA
| | - Louisa G. Sylvia
- Department of PsychiatryMassachusetts General HospitalBostonMAUSA,Department of PsychiatryHarvard Medical SchoolCambridgeMAUSA
| | - Shang‐Ying Tsai
- Department of PsychiatryTaipei Medical University HospitalTaipeiTaiwan,Department of PsychiatrySchool of MedicineCollege of MedicineTaipei Medical UniversityTaipeiTaiwan
| | - Andrew Kcomt
- Hope+Me—Mood Disorders Association of OntarioTorontoONCanada
| | - Jess G. Fiedorowicz
- Departments of Psychiatry, Internal Medicine, & EpidemiologyCarver College of MedicineUniversity of IowaIowa CityIAUSA
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50
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Neuroanatomical changes in white and grey matter after sleeve gastrectomy. Neuroimage 2020; 213:116696. [DOI: 10.1016/j.neuroimage.2020.116696] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Accepted: 02/27/2020] [Indexed: 12/12/2022] Open
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