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Boyd MC, Burdette JH, Miller ME, Lyday RG, Hugenschmidt CE, Jack Rejeski W, Simpson SL, Baker LD, Tomlinson CE, Kritchevsky SB, Laurienti PJ. Association of physical function with connectivity in the sensorimotor and dorsal attention networks: why examining specific components of physical function matters. GeroScience 2024:10.1007/s11357-024-01251-8. [PMID: 38967698 DOI: 10.1007/s11357-024-01251-8] [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: 03/25/2024] [Accepted: 06/07/2024] [Indexed: 07/06/2024] Open
Abstract
Declining physical function with aging is associated with structural and functional brain network organization. Gaining a greater understanding of network associations may be useful for targeting interventions that are designed to slow or prevent such decline. Our previous work demonstrated that the Short Physical Performance Battery (eSPPB) score and body mass index (BMI) exhibited a statistical interaction in their associations with connectivity in the sensorimotor cortex (SMN) and the dorsal attention network (DAN). The current study examined if components of the eSPPB have unique associations with these brain networks. Functional magnetic resonance imaging was performed on 192 participants in the BNET study, a longitudinal and observational trial of community-dwelling adults aged 70 or older. Functional brain networks were generated for resting state and during a motor imagery task. Regression analyses were performed between eSPPB component scores (gait speed, complex gait speed, static balance, and lower extremity strength) and BMI with SMN and DAN connectivity. Gait speed, complex gait speed, and lower extremity strength significantly interacted with BMI in their association with SMN at rest. Gait speed and complex gait speed were interacted with BMI in the DAN at rest while complex gait speed, static balance, and lower extremity strength interacted with BMI in the DAN during motor imagery. Results demonstrate that different components of physical function, such as balance or gait speed and BMI, are associated with unique aspects of brain network organization. Gaining a greater mechanistic understanding of the associations between low physical function, body mass, and brain physiology may lead to the development of treatments that not only target specific physical function limitations but also specific brain networks.
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Affiliation(s)
- Madeline C Boyd
- Department of Radiology, Wake Forest University School of Medicine, Medical Center Blvd, Winston-Salem, NC, 27157, USA
| | - Jonathan H Burdette
- Department of Radiology, Wake Forest University School of Medicine, Medical Center Blvd, Winston-Salem, NC, 27157, USA
| | - Michael E Miller
- Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Robert G Lyday
- Department of Radiology, Wake Forest University School of Medicine, Medical Center Blvd, Winston-Salem, NC, 27157, USA
| | - Christina E Hugenschmidt
- Sticht Center for Healthy Aging and Alzheimer's Prevention, Department of Internal Medicine Section On Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - W Jack Rejeski
- Department of Health and Exercise Science, Wake Forest University, Winston-Salem, NC, USA
| | - Sean L Simpson
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Laura D Baker
- Sticht Center for Healthy Aging and Alzheimer's Prevention, Department of Internal Medicine Section On Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Chal E Tomlinson
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Janssen R&D of Johnson & Johnson, Raritan, NJ, USA
| | - Stephen B Kritchevsky
- Sticht Center for Healthy Aging and Alzheimer's Prevention, Department of Internal Medicine Section On Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Paul J Laurienti
- Department of Radiology, Wake Forest University School of Medicine, Medical Center Blvd, Winston-Salem, NC, 27157, USA.
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Akgun Aktaş B, Ecem K, Murat H, Gökçe Ozcan K, Ozgür K, Atakan T, Dilek S. Fetal cortical development and neurosonographic findings in obese pregnant women: a case control study from a tertiary hospital. Arch Gynecol Obstet 2024; 310:83-91. [PMID: 37831178 DOI: 10.1007/s00404-023-07258-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 10/05/2023] [Indexed: 10/14/2023]
Abstract
PURPOSE To investigate the effect of obesity on fetal cortical development. METHODS This prospective cross-sectional study was conducted with 91 pregnant women. Fetal neurosonography scans were performed in the third trimester, and according to body mass index (BMI) values, the patients were evaluated in two groups: obese (BMI ≥ 30 kg/m2) and normal weight (BMI < 30 kg/m2). During neurosonography, fetal insular depth and Sylvian fissures, parieo-occipital and cingulate fissure depth, frontal lobe length, and the sizes of the corpus callosum and cavum septum pellucidum were measured using a transvaginal approach. Fetal cortical development and Sylvian fissure operculization were graded. RESULTS The number of patients with grade 2 fetal cortical development was significantly higher among the pregnant women in the obese group compared to the normal weight group (n = 17, 41.5% and n = 8, 16.0%, respectively; p = 0.007). In the obese group, the number of pregnant women with grade 4 or below fetal Sylvian fissure operculization was significantly higher (n = 13, 31.7%), and the number of those with grade 9 or above operculization was significantly lower (n = 1, 2.5%) (p = 0.003). The fetal insular depth, frontal lobe anterior-posterior diameter, cingulate fissure depth, and corpus callosum thickness were lower in the obese group, albeit with no significant difference. Parieto-occipital depth significantly decreased in the obese group [6.8 (6) mm)] compared to the control group [10.5 (7.2) mm)] (p = 0.008). The fetal Sylvian fissure ratio and the cavum septum pellucidum ratio were found to be similar between the groups. CONCLUSION The data obtained from this study showed that obesity caused fetal cortical changes in pregnant women.
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Affiliation(s)
- Betül Akgun Aktaş
- Department of Obstetrics and Gynecology, Ministry of Health, Ankara City Hospital, Üniversiteler Mahallesi 1604. Cadde No: 9 Çankaya, Ankara, Turkey.
| | - Kaya Ecem
- Department of Obstetrics and Gynecology, Ministry of Health, Ankara City Hospital, Üniversiteler Mahallesi 1604. Cadde No: 9 Çankaya, Ankara, Turkey
| | - Haksever Murat
- Department of Obstetrics and Gynecology, Ministry of Health, Ankara City Hospital, Üniversiteler Mahallesi 1604. Cadde No: 9 Çankaya, Ankara, Turkey
| | - Kılınç Gökçe Ozcan
- Department of Obstetrics and Gynecology, Ministry of Health, Ankara City Hospital, Üniversiteler Mahallesi 1604. Cadde No: 9 Çankaya, Ankara, Turkey
| | - Kara Ozgür
- Department of Obstetrics and Gynecology, Ministry of Health, Ankara City Hospital, Üniversiteler Mahallesi 1604. Cadde No: 9 Çankaya, Ankara, Turkey
- Department of Obstetrics and Gynecology, University of Health Sciences, Istanbul, Turkey
| | - Tanacan Atakan
- Department of Obstetrics and Gynecology, Ministry of Health, Ankara City Hospital, Üniversiteler Mahallesi 1604. Cadde No: 9 Çankaya, Ankara, Turkey
- Department of Obstetrics and Gynecology, University of Health Sciences, Istanbul, Turkey
| | - Sahin Dilek
- Department of Obstetrics and Gynecology, Ministry of Health, Ankara City Hospital, Üniversiteler Mahallesi 1604. Cadde No: 9 Çankaya, Ankara, Turkey
- Department of Obstetrics and Gynecology, University of Health Sciences, Istanbul, Turkey
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Dong D, Chen X, Li W, Gao X, Wang Y, Zhou F, Eickhoff SB, Chen H. Opposite changes in morphometric similarity of medial reward and lateral non-reward orbitofrontal cortex circuits in obesity. Neuroimage 2024; 290:120574. [PMID: 38467346 DOI: 10.1016/j.neuroimage.2024.120574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Revised: 03/05/2024] [Accepted: 03/08/2024] [Indexed: 03/13/2024] Open
Abstract
Obesity has a profound impact on metabolic health thereby adversely affecting brain structure and function. However, the majority of previous studies used a single structural index to investigate the link between brain structure and body mass index (BMI), which hinders our understanding of structural covariance between regions in obesity. This study aimed to examine the relationship between macroscale cortical organization and BMI using novel morphometric similarity networks (MSNs). The individual MSNs were first constructed from individual eight multimodal cortical morphometric features between brain regions. Then the relationship between BMI and MSNs within the discovery sample of 434 participants was assessed. The key findings were further validated in an independent sample of 192 participants. We observed that the lateral non-reward orbitofrontal cortex (lOFC) exhibited decoupling (i.e., reduction in integration) in obesity, which was mainly manifested by its decoupling with the cognitive systems (i.e., DMN and FPN) while the medial reward orbitofrontal cortex (mOFC) showed de-differentiation (i.e., decrease in distinctiveness) in obesity, which was mainly represented by its de-differentiation with the cognitive and attention systems (i.e., DMN and VAN). Additionally, the lOFC showed de-differentiation with the visual system in obesity, while the mOFC showed decoupling with the visual system and hyper-coupling with the sensory-motor system in obesity. As an important first step in revealing the role of underlying structural covariance in body mass variability, the present study presents a novel mechanism that underlies the reward-control interaction imbalance in obesity, thus can inform future weight-management approaches.
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Affiliation(s)
- Debo Dong
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing 400715, China; Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
| | - Ximei Chen
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing 400715, China
| | - Wei Li
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing 400715, China
| | - Xiao Gao
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing 400715, China
| | - Yulin Wang
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing 400715, China; Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing 400715, China
| | - Feng Zhou
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing 400715, China
| | - Simon B Eickhoff
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany; Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany
| | - Hong Chen
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing 400715, China; Research Center of Psychology and Social Development, Faculty of Psychology, Southwest University, Chongqing 400715, China.
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Okudzhava L, Schulz S, Fischi‐Gomez E, Girard G, Machann J, Koch PJ, Thiran J, Münte TF, Heldmann M. White adipose tissue distribution and amount are associated with increased white matter connectivity. Hum Brain Mapp 2024; 45:e26654. [PMID: 38520361 PMCID: PMC10960552 DOI: 10.1002/hbm.26654] [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: 10/31/2023] [Revised: 02/09/2024] [Accepted: 02/27/2024] [Indexed: 03/25/2024] Open
Abstract
Obesity represents a significant public health concern and is linked to various comorbidities and cognitive impairments. Previous research indicates that elevated body mass index (BMI) is associated with structural changes in white matter (WM). However, a deeper characterization of body composition is required, especially considering the links between abdominal obesity and metabolic dysfunction. This study aims to enhance our understanding of the relationship between obesity and WM connectivity by directly assessing the amount and distribution of fat tissue. Whole-body magnetic resonance imaging (MRI) was employed to evaluate total adipose tissue (TAT), visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT), while MR liver spectroscopy measured liver fat content in 63 normal-weight, overweight, and obese males. WM connectivity was quantified using microstructure-informed tractography. Connectome-based predictive modeling was used to predict body composition metrics based on WM connectomes. Our analysis revealed a positive dependency between BMI, TAT, SAT, and WM connectivity in brain regions involved in reward processing and appetite regulation, such as the insula, nucleus accumbens, and orbitofrontal cortex. Increased connectivity was also observed in cognitive control and inhibition networks, including the middle frontal gyrus and anterior cingulate cortex. No significant associations were found between WM connectivity and VAT or liver fat. Our findings suggest that altered neural communication between these brain regions may affect cognitive processes, emotional regulation, and reward perception in individuals with obesity, potentially contributing to weight gain. While our study did not identify a link between WM connectivity and VAT or liver fat, further investigation of the role of various fat depots and metabolic factors in brain networks is required to advance obesity prevention and treatment approaches.
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Affiliation(s)
- Liana Okudzhava
- Department of NeurologyUniversity of LübeckLübeckGermany
- Center of Brain, Behavior and MetabolismUniversity of LübeckLübeckGermany
| | - Stephanie Schulz
- Department of NeurologyUniversity of LübeckLübeckGermany
- Center of Brain, Behavior and MetabolismUniversity of LübeckLübeckGermany
| | - Elda Fischi‐Gomez
- CIBM Center for Biomedical ImagingLausanneSwitzerland
- Radiology DepartmentLausanne University and University Hospital (CHUV)LausanneSwitzerland
- Signal Processing Laboratory (LTS5), Ecole Polytechnique Fédérale de Lausanne (EPFL)LausanneSwitzerland
| | - Gabriel Girard
- CIBM Center for Biomedical ImagingLausanneSwitzerland
- Department of Computer ScienceUniversité de SherbrookeSherbrookeQuebecCanada
| | - Jürgen Machann
- Section on Experimental Radiology, Department of RadiologyEberhard‐Karls UniversityTübingenGermany
- German Center for Diabetes Research (DZD)NeuherbergGermany
- Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center MunichUniversity of TübingenTübingenGermany
| | - Philipp J. Koch
- Department of NeurologyUniversity of LübeckLübeckGermany
- Center of Brain, Behavior and MetabolismUniversity of LübeckLübeckGermany
| | - Jean‐Philippe Thiran
- CIBM Center for Biomedical ImagingLausanneSwitzerland
- Radiology DepartmentLausanne University and University Hospital (CHUV)LausanneSwitzerland
- Signal Processing Laboratory (LTS5), Ecole Polytechnique Fédérale de Lausanne (EPFL)LausanneSwitzerland
| | - Thomas F. Münte
- Department of NeurologyUniversity of LübeckLübeckGermany
- Center of Brain, Behavior and MetabolismUniversity of LübeckLübeckGermany
| | - Marcus Heldmann
- Department of NeurologyUniversity of LübeckLübeckGermany
- Center of Brain, Behavior and MetabolismUniversity of LübeckLübeckGermany
- Institute of Psychology IIUniversity of LübeckLübeckGermany
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Hu Y, Li G, Zhang W, Wang J, Ji W, Yu J, Han Y, Cui G, Wang H, Manza P, Volkow N, Ji G, Wang GJ, Zhang Y. Obesity is associated with alterations in anatomical connectivity of frontal-corpus callosum. Cereb Cortex 2024; 34:bhae014. [PMID: 38300178 DOI: 10.1093/cercor/bhae014] [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: 05/06/2023] [Revised: 12/27/2023] [Accepted: 12/28/2023] [Indexed: 02/02/2024] Open
Abstract
Obesity has been linked to abnormal frontal function, including the white matter fibers of anterior portion of the corpus callosum, which is crucial for information exchange within frontal cortex. However, alterations in white matter anatomical connectivity between corpus callosum and cortical regions in patients with obesity have not yet been investigated. Thus, we enrolled 72 obese and 60 age-/gender-matched normal weight participants who underwent clinical measurements and diffusion tensor imaging. Probabilistic tractography with connectivity-based classification was performed to segment the corpus callosum and quantify white matter anatomical connectivity between subregions of corpus callosum and cortical regions, and associations between corpus callosum-cortex white matter anatomical connectivity and clinical behaviors were also assessed. Relative to normal weight individuals, individuals with obesity exhibited significantly greater white matter anatomical connectivity of corpus callosum-orbitofrontal cortex, which was positively correlated with body mass index and self-reported disinhibition of eating behavior, and lower white matter anatomical connectivity of corpus callosum-prefrontal cortex, which was significantly negatively correlated with craving for high-calorie food cues. The findings show that alterations in white matter anatomical connectivity between corpus callosum and frontal regions involved in reward and executive control are associated with abnormal eating behaviors.
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Affiliation(s)
- Yang Hu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China
| | - Guanya Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China
| | - Wenchao Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China
| | - Jia Wang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China
| | - Weibin Ji
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China
| | - Juan Yu
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Fourth Military Medical University, 127 Changle West Road, Xi'an, Shaanxi 710032, China
| | - Yu Han
- Department of Radiology, Tangdu Hospital, The Fourth Military Medical University, 4 Xinsi Road, Xi'an, Shaanxi 710038, China
| | - Guangbin Cui
- Department of Radiology, Tangdu Hospital, The Fourth Military Medical University, 4 Xinsi Road, Xi'an, Shaanxi 710038, China
| | - Haoyi Wang
- College of Westa, Southwest University, 2 Tiansheng Road, Chongqing 400715, China
| | - Peter Manza
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, 10 Center Drive, MSC1013, Building 10, Room B2L304, Bethesda, MD 20892, USA
| | - Nora Volkow
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, 10 Center Drive, MSC1013, Building 10, Room B2L304, Bethesda, MD 20892, USA
| | - Gang Ji
- State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Fourth Military Medical University, 127 Changle West Road, Xi'an, Shaanxi 710032, China
| | - Gene-Jack Wang
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, 10 Center Drive, MSC1013, Building 10, Room B2L304, Bethesda, MD 20892, USA
| | - Yi Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China
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Radoeva PD, Milev VT, Hunt JI, Legere CH, Deoni SCL, Sheinkopf SJ, Mazefsky CA, Philip NS, Dickstein DP. Systematic Review: White Matter Microstructural Organization in Adolescents With Depression. JAACAP OPEN 2023; 1:233-245. [PMID: 38576601 PMCID: PMC10994197 DOI: 10.1016/j.jaacop.2023.08.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/06/2024]
Abstract
Objective A growing body of literature has focused on the neural mechanisms of depression. Our goal was to conduct a systematic review on the white matter microstructural differences in adolescents with depressive disorders vs adolescents without depressive disorders. Method We searched PubMed and PsycINFO for publications on August 3, 2022 (original search conducted in July 2021). The review was registered on PROSPERO (registration number: CRD42021268200), and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed. Eligible studies were original research papers comparing diffusion tensor/spectrum imaging findings in adolescents with vs without depression (originally ages 12-19 years, later expanded to 11-21 years). Studies were excluded if they focused on depression exclusively in the context of another condition, used only dimensional depressive symptom assessment(s), or used the same dataset as another included publication. Results The search yielded 575 unique records, of which 14 full-text papers were included (824 adolescents with depression and 686 without depression). The following white matter regions showed significant differences in fractional anisotropy in at least 3 studies: uncinate fasciculus, cingulum, anterior corona radiata, inferior fronto-occipital fasciculus, and corpus callosum (genu and body). Most studies reported decreased, rather than increased, fractional anisotropy in adolescents with depression. Limitations include the possibility for selective reporting bias and risk of imprecision, given the small sample sizes in some studies. Conclusion Our systematic review suggests aberrant white matter microstructure in limbic-cortical-striatal-thalamic circuits, and the corpus callosum, in adolescents with depression. Future research should focus on developmental trajectories in depression, identifying sources of heterogeneity and integrating findings across imaging modalities.
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Affiliation(s)
- Petya D Radoeva
- Warren Alpert Medical School of Brown University, Providence, Rhode Island
- Emma Pendleton Bradley Hospital, East Providence, Rhode Island
| | | | - Jeffrey I Hunt
- Warren Alpert Medical School of Brown University, Providence, Rhode Island
- Emma Pendleton Bradley Hospital, East Providence, Rhode Island
| | - Christopher H Legere
- Warren Alpert Medical School of Brown University, Providence, Rhode Island
- Emma Pendleton Bradley Hospital, East Providence, Rhode Island
| | - Sean C L Deoni
- Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - Stephen J Sheinkopf
- Thompson Center for Autism & Neurodevelopment, University of Missouri, Columbia, Missouri
| | - Carla A Mazefsky
- University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Noah S Philip
- VA Providence Healthcare System, Providence, Rhode Island
| | - Daniel P Dickstein
- Pediatric Mood, Imaging, and NeuroDevelopment (Ped-iMIND) Program, McLean Hospital, Belmont, Massachusetts and Harvard Medical School, Boston, Massachusetts
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Cheng X, Wang W, Sun C, Sun Y, Zhou C. White Matter Integrity Abnormalities in Healthy Overweight Individuals Revealed by Whole Brain Meta-Analysis of Diffusion Tensor Imaging Studies. J Obes 2023; 2023:7966540. [PMID: 37908490 PMCID: PMC10615581 DOI: 10.1155/2023/7966540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 09/24/2023] [Accepted: 10/03/2023] [Indexed: 11/02/2023] Open
Abstract
Objective This study aimed to conduct a coordinate-based meta-analysis (CBMA) to investigate white matter (WM) abnormalities in healthy individuals with overweight or obesity. Methods A systematic literature search using Web of Science and PubMed datasets was performed. Original investigations that used diffusion tensor imaging (DTI) to explore fractional anisotropy (FA) differences between healthy overweight/obese individuals and normal weight controls were collected. The meta-analysis was conducted using the seed-based d mapping (SDM) software, employing stringent thresholds for significance. Sensitivity analyses and meta-regression analysis were also performed to examine the robustness of the results and explore potential associations with age and body mass index (BMI). Results The analysis included five studies comprising 232 overweight/obese individuals and 219 healthy normal weight controls. The findings showed that overweight/obese individuals exhibited reduced fractional anisotropy (FA) in specific regions, namely, the right superior longitudinal fasciculus (SLF), the splenium of the corpus callosum (CC), and the right median network, cingulum. Meta-regression analysis further revealed that these FA reductions were associated with age. Conclusion These findings provided insights into the potential impact of overweight/obesity on cognition, emotion, and neural functions and highlighted the significance of early prevention and intervention for overweight on the basis of neuroimaging.
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Affiliation(s)
- Xiaodong Cheng
- Department of Psychiatry, Shandong Daizhuang Hospital, Jining, China
| | - Wenchang Wang
- School of Mental Health, Jining Medical University, Jining, China
| | - Chen Sun
- School of Mental Health, Jining Medical University, Jining, China
| | - Yana Sun
- Department of Nutrition, Affiliated Hospital of Jining Medical University, Jining, China
| | - Cong Zhou
- School of Mental Health, Jining Medical University, Jining, China
- Department of Psychology, Affiliated Hospital of Jining Medical University, Jining, China
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Chen AK, Gullett JM, Williamson JB, Cohen RA. Presurgical microstructural coherence predicts cognitive change for bariatric surgery patients. Obesity (Silver Spring) 2023; 31:2325-2334. [PMID: 37605633 PMCID: PMC10449364 DOI: 10.1002/oby.23837] [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: 09/06/2022] [Revised: 04/20/2023] [Accepted: 05/17/2023] [Indexed: 08/23/2023]
Abstract
OBJECTIVE This observational study examined the relationship between presurgical white matter microstructural coherence and cognitive change after weight loss. It was hypothesized that higher baseline fractional anisotropy (FA) would predict greater baseline and change cognition. METHODS A sample of 24 adults (BMI ≥ 35 kg/m2 ) underwent neuropsychological assessment at baseline and 12 weeks after bariatric surgery. A magnetic resonance imaging brain scan was administered at baseline and processed through Tract-Based Spatial Statistics to compute FA in white matter tracts of interest. Composite scores for attention, learning, processing speed, executive function, verbal fluency, working memory, and overall cognition were calculated. RESULTS As expected, FA in some tracts of interest was significantly (p < 0.05) positively associated with change in cognition. Inverse relationships were observed between baseline FA and presurgical cognition, which may be explained by increased medial and radial diffusivity and preserved axonal diffusivity. Cognition generally improved after surgery; however, relative but clinically nonsignificant deterioration was observed on learning measures. Poorer baseline cognitive performance was associated with greater postsurgical cognitive improvement. CONCLUSIONS Presurgical microstructural coherence is associated with magnitude of cognitive change after weight loss. An observed reduction in learning suggests that bariatric surgery may lead to negative outcomes in some cognitive domains, at least temporarily.
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Affiliation(s)
- Alexa K Chen
- Department of Clinical and Health Psychology, University of Florida, Gainesville, Florida, USA
| | - Joseph M Gullett
- Department of Clinical and Health Psychology, University of Florida, Gainesville, Florida, USA
| | - John B Williamson
- Department of Clinical and Health Psychology, University of Florida, Gainesville, Florida, USA
| | - Ronald A Cohen
- Department of Clinical and Health Psychology, University of Florida, Gainesville, Florida, USA
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Tinney EM, Loui P, Raine LB, Hiscox LV, Delgorio PL, Kramer MK, Schwarb H, Martens CR, Kramer AF, Hillman CH, Johnson CL. Influence of mild cognitive impairment and body mass index on white matter integrity assessed by diffusion tensor imaging. Psychophysiology 2023; 60:e14306. [PMID: 37038273 PMCID: PMC10524314 DOI: 10.1111/psyp.14306] [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: 12/20/2022] [Revised: 03/16/2023] [Accepted: 03/27/2023] [Indexed: 04/12/2023]
Abstract
Mild cognitive impairment (MCI), a prodromal stage of Alzheimer's disease, is characterized by decreased memory and cognition, which are linked to degenerative changes in the brain. To assess whether white matter (WM) integrity is compromised in MCI, we collected diffusion-weighted images from 60 healthy older adults (OA) (69.16 ± 0.7) and 20 older adults with amnestic MCI (72.45 ± 1.9). WM integrity differences were examined using Tract-Based Spatial Statistics (TBSS). We hypothesized that those with MCI would have diminished WM integrity relative to OA. In a whole-brain comparison, those with MCI showed higher axial diffusivity in the splenium (SCC) and body of the corpus callosum (BCC), superior corona radiata (SCR), and the retrolenticular part of the internal capsule (RLIC) (p's < .05 TFCE-corrected). Additionally, significant between-group connectivity differences were observed using probabilistic tractography between the SCC, chosen from the TBSS results, and forceps major and minor (p-value's < .05). To further relate a physical health indicator to WM alterations, linear regression showed significant interactions between cognitive status and body mass index (BMI) on diffusivity outcome measures from probabilistic tractography (p-value-'s < .05). Additionally, we examined the association between relational memory, BMI, and WM integrity. WM integrity was positively associated with relational memory performance. These findings suggest that these regions may be more sensitive to early markers of neurodegenerative disease and health behaviors, suggesting that modifiable lifestyle factors may affect white matter integrity.
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Affiliation(s)
- Emma M. Tinney
- Northeastern University, Department of Psychology
- Northeastern University, Center for Cognitive and Brain Health
| | - Psyche Loui
- Northeastern University, Department of Psychology
- Northeastern University, Center for Cognitive and Brain Health
| | - Lauren B. Raine
- Northeastern University, Center for Cognitive and Brain Health
- Northeastern University, Department of Physical Therapy Movement Rehabilitation Sciences
- Northeastern University, Department of Medicinal Sciences
| | - Lucy V. Hiscox
- University of Delaware, Department of Biomedical Engineering
| | | | - Mary K. Kramer
- University of Delaware, Department of Biomedical Engineering
| | - Hillary Schwarb
- University of Illinois at Urbana-Champaign, Beckman Institute for Advanced Science and Technology
| | | | - Arthur F. Kramer
- Northeastern University, Department of Psychology
- University of Illinois at Urbana-Champaign, Beckman Institute for Advanced Science and Technology
| | - Charles H. Hillman
- Northeastern University, Department of Psychology
- Northeastern University, Center for Cognitive and Brain Health
- Northeastern University, Department of Physical Therapy Movement Rehabilitation Sciences
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10
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Wang J, Dong D, Liu Y, Yang Y, Chen X, He Q, Lei X, Feng T, Qiu J, Chen H. Multivariate resting-state functional connectomes predict and characterize obesity phenotypes. Cereb Cortex 2023; 33:8368-8381. [PMID: 37032621 PMCID: PMC10505423 DOI: 10.1093/cercor/bhad122] [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: 12/15/2022] [Revised: 03/09/2023] [Accepted: 03/10/2023] [Indexed: 04/11/2023] Open
Abstract
The univariate obesity-brain associations have been extensively explored, while little is known about the multivariate associations between obesity and resting-state functional connectivity. We therefore utilized machine learning and resting-state functional connectivity to develop and validate predictive models of 4 obesity phenotypes (i.e. body fat percentage, body mass index, waist circumference, and waist-height ratio) in 3 large neuroimaging datasets (n = 2,992). Preliminary evidence suggested that the resting-state functional connectomes effectively predicted obesity/weight status defined by each obesity phenotype with good generalizability to longitudinal and independent datasets. However, the differences between resting-state functional connectivity patterns characterizing different obesity phenotypes indicated that the obesity-brain associations varied according to the type of measure of obesity. The shared structure among resting-state functional connectivity patterns revealed reproducible neuroimaging biomarkers of obesity, primarily comprising the connectomes within the visual cortex and between the visual cortex and inferior parietal lobule, visual cortex and orbital gyrus, and amygdala and orbital gyrus, which further suggested that the dysfunctions in the perception, attention and value encoding of visual information (e.g. visual food cues) and abnormalities in the reward circuit may act as crucial neurobiological bases of obesity. The recruitment of multiple obesity phenotypes is indispensable in future studies seeking reproducible obesity-brain associations.
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Affiliation(s)
- Junjie Wang
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality of Ministry of Education, Southwest University, Chongqing, China
| | - Debo Dong
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality of Ministry of Education, Southwest University, Chongqing, China
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
| | - Yong Liu
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality of Ministry of Education, Southwest University, Chongqing, China
| | - Yingkai Yang
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality of Ministry of Education, Southwest University, Chongqing, China
| | - Ximei Chen
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality of Ministry of Education, Southwest University, Chongqing, China
| | - Qinghua He
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality of Ministry of Education, Southwest University, Chongqing, China
| | - Xu Lei
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality of Ministry of Education, Southwest University, Chongqing, China
| | - Tingyong Feng
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality of Ministry of Education, Southwest University, Chongqing, China
| | - Jiang Qiu
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality of Ministry of Education, Southwest University, Chongqing, China
| | - Hong Chen
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality of Ministry of Education, Southwest University, Chongqing, China
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11
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Abi-Ghanem C, Salinero AE, Kordit D, Mansour FM, Kelly RD, Venkataganesh H, Kyaw NR, Gannon OJ, Riccio D, Fredman G, Poitelon Y, Belin S, Kopec AM, Robison LS, Zuloaga KL. Sex differences in the effects of high fat diet on underlying neuropathology in a mouse model of VCID. Biol Sex Differ 2023; 14:31. [PMID: 37208759 PMCID: PMC10199629 DOI: 10.1186/s13293-023-00513-y] [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: 01/09/2023] [Accepted: 04/17/2023] [Indexed: 05/21/2023] Open
Abstract
BACKGROUND Damage to the cerebral vasculature can lead to vascular contributions to cognitive impairment and dementia (VCID). A reduction in blood flow to the brain leads to neuropathology, including neuroinflammation and white matter lesions that are a hallmark of VCID. Mid-life metabolic disease (obesity, prediabetes, or diabetes) is a risk factor for VCID which may be sex-dependent (female bias). METHODS We compared the effects of mid-life metabolic disease between males and females in a chronic cerebral hypoperfusion mouse model of VCID. C57BL/6J mice were fed a control or high fat (HF) diet starting at ~ 8.5 months of age. Three months after diet initiation, sham or unilateral carotid artery occlusion surgery (VCID model) was performed. Three months later, mice underwent behavior testing and brains were collected to assess pathology. RESULTS We have previously shown that in this VCID model, HF diet causes greater metabolic impairment and a wider array of cognitive deficits in females compared to males. Here, we report on sex differences in the underlying neuropathology, specifically white matter changes and neuroinflammation in several areas of the brain. White matter was negatively impacted by VCID in males and HF diet in females, with greater metabolic impairment correlating with less myelin markers in females only. High fat diet led to an increase in microglia activation in males but not in females. Further, HF diet led to a decrease in proinflammatory cytokines and pro-resolving mediator mRNA expression in females but not males. CONCLUSIONS The current study adds to our understanding of sex differences in underlying neuropathology of VCID in the presence of a common risk factor (obesity/prediabetes). This information is crucial for the development of effective, sex-specific therapeutic interventions for VCID.
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Affiliation(s)
- Charly Abi-Ghanem
- Department of Neuroscience & Experimental Therapeutics, Albany Medical College, 47 New Scotland Avenue, MC-136, Albany, NY, 12208, USA
| | - Abigail E Salinero
- Department of Neuroscience & Experimental Therapeutics, Albany Medical College, 47 New Scotland Avenue, MC-136, Albany, NY, 12208, USA
| | - David Kordit
- Department of Neuroscience & Experimental Therapeutics, Albany Medical College, 47 New Scotland Avenue, MC-136, Albany, NY, 12208, USA
| | - Febronia M Mansour
- Department of Neuroscience & Experimental Therapeutics, Albany Medical College, 47 New Scotland Avenue, MC-136, Albany, NY, 12208, USA
| | - Richard D Kelly
- Department of Neuroscience & Experimental Therapeutics, Albany Medical College, 47 New Scotland Avenue, MC-136, Albany, NY, 12208, USA
| | - Harini Venkataganesh
- Department of Neuroscience & Experimental Therapeutics, Albany Medical College, 47 New Scotland Avenue, MC-136, Albany, NY, 12208, USA
| | - Nyi-Rein Kyaw
- Department of Neuroscience & Experimental Therapeutics, Albany Medical College, 47 New Scotland Avenue, MC-136, Albany, NY, 12208, USA
| | - Olivia J Gannon
- Department of Neuroscience & Experimental Therapeutics, Albany Medical College, 47 New Scotland Avenue, MC-136, Albany, NY, 12208, USA
| | - David Riccio
- Department of Neuroscience & Experimental Therapeutics, Albany Medical College, 47 New Scotland Avenue, MC-136, Albany, NY, 12208, USA
| | - Gabrielle Fredman
- Department Molecular and Cellular Physiology, Albany Medical College, 47 New Scotland Avenue, MC-136, Albany, NY, 12208, USA
| | - Yannick Poitelon
- Department of Neuroscience & Experimental Therapeutics, Albany Medical College, 47 New Scotland Avenue, MC-136, Albany, NY, 12208, USA
| | - Sophie Belin
- Department of Neuroscience & Experimental Therapeutics, Albany Medical College, 47 New Scotland Avenue, MC-136, Albany, NY, 12208, USA
| | - Ashley M Kopec
- Department of Neuroscience & Experimental Therapeutics, Albany Medical College, 47 New Scotland Avenue, MC-136, Albany, NY, 12208, USA
| | - Lisa S Robison
- Department of Psychology & Neuroscience, Nova Southeastern University, 3301 College Avenue, Fort Lauderdale, FL, 33314, USA
| | - Kristen L Zuloaga
- Department of Neuroscience & Experimental Therapeutics, Albany Medical College, 47 New Scotland Avenue, MC-136, Albany, NY, 12208, USA.
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12
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Li ZA, Samara A, Ray MK, Rutlin J, Raji CA, Shimony JS, Sun P, Song SK, Hershey T, Eisenstein SA. Childhood obesity is linked to putative neuroinflammation in brain white matter, hypothalamus, and striatum. Cereb Cortex Commun 2023; 4:tgad007. [PMID: 37207193 PMCID: PMC10191798 DOI: 10.1093/texcom/tgad007] [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: 11/17/2022] [Revised: 04/19/2023] [Accepted: 04/22/2023] [Indexed: 05/21/2023] Open
Abstract
Neuroinflammation is both a consequence and driver of overfeeding and weight gain in rodent obesity models. Advances in magnetic resonance imaging (MRI) enable investigations of brain microstructure that suggests neuroinflammation in human obesity. To assess the convergent validity across MRI techniques and extend previous findings, we used diffusion basis spectrum imaging (DBSI) to characterize obesity-associated alterations in brain microstructure in 601 children (age 9-11 years) from the Adolescent Brain Cognitive DevelopmentSM Study. Compared with children with normal-weight, greater DBSI restricted fraction (RF), reflecting neuroinflammation-related cellularity, was seen in widespread white matter in children with overweight and obesity. Greater DBSI-RF in hypothalamus, caudate nucleus, putamen, and, in particular, nucleus accumbens, correlated with higher baseline body mass index and related anthropometrics. Comparable findings were seen in the striatum with a previously reported restriction spectrum imaging (RSI) model. Gain in waist circumference over 1 and 2 years related, at nominal significance, to greater baseline RSI-assessed restricted diffusion in nucleus accumbens and caudate nucleus, and DBSI-RF in hypothalamus, respectively. Here we demonstrate that childhood obesity is associated with microstructural alterations in white matter, hypothalamus, and striatum. Our results also support the reproducibility, across MRI methods, of findings of obesity-related putative neuroinflammation in children.
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Affiliation(s)
- Zhaolong Adrian Li
- Department of Psychiatry, Washington University in St. Louis School of Medicine, St. Louis, MO 63110, United States
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO 63130, United States
| | - Amjad Samara
- Department of Psychiatry, Washington University in St. Louis School of Medicine, St. Louis, MO 63110, United States
- Department of Neurology, Washington University in St. Louis School of Medicine, St. Louis, MO 63110 United States
| | - Mary Katherine Ray
- Department of Psychiatry, Washington University in St. Louis School of Medicine, St. Louis, MO 63110, United States
| | - Jerrel Rutlin
- Department of Psychiatry, Washington University in St. Louis School of Medicine, St. Louis, MO 63110, United States
| | - Cyrus A Raji
- Department of Neurology, Washington University in St. Louis School of Medicine, St. Louis, MO 63110 United States
- Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, St. Louis, MO 63110, United States
| | - Joshua S Shimony
- Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, St. Louis, MO 63110, United States
| | - Peng Sun
- Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, St. Louis, MO 63110, United States
- Department of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States
| | - Sheng-Kwei Song
- Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, St. Louis, MO 63110, United States
| | - Tamara Hershey
- Department of Psychiatry, Washington University in St. Louis School of Medicine, St. Louis, MO 63110, United States
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO 63130, United States
- Department of Neurology, Washington University in St. Louis School of Medicine, St. Louis, MO 63110 United States
- Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, St. Louis, MO 63110, United States
| | - Sarah A Eisenstein
- Department of Psychiatry, Washington University in St. Louis School of Medicine, St. Louis, MO 63110, United States
- Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, St. Louis, MO 63110, United States
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13
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Levakov G, Kaplan A, Yaskolka Meir A, Rinott E, Tsaban G, Zelicha H, Blüher M, Ceglarek U, Stumvoll M, Shelef I, Avidan G, Shai I. The effect of weight loss following 18 months of lifestyle intervention on brain age assessed with resting-state functional connectivity. eLife 2023; 12:e83604. [PMID: 37022140 PMCID: PMC10174688 DOI: 10.7554/elife.83604] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 03/31/2023] [Indexed: 04/07/2023] Open
Abstract
Background Obesity negatively impacts multiple bodily systems, including the central nervous system. Retrospective studies that estimated chronological age from neuroimaging have found accelerated brain aging in obesity, but it is unclear how this estimation would be affected by weight loss following a lifestyle intervention. Methods In a sub-study of 102 participants of the Dietary Intervention Randomized Controlled Trial Polyphenols Unprocessed Study (DIRECT-PLUS) trial, we tested the effect of weight loss following 18 months of lifestyle intervention on predicted brain age based on magnetic resonance imaging (MRI)-assessed resting-state functional connectivity (RSFC). We further examined how dynamics in multiple health factors, including anthropometric measurements, blood biomarkers, and fat deposition, can account for changes in brain age. Results To establish our method, we first demonstrated that our model could successfully predict chronological age from RSFC in three cohorts (n=291;358;102). We then found that among the DIRECT-PLUS participants, 1% of body weight loss resulted in an 8.9 months' attenuation of brain age. Attenuation of brain age was significantly associated with improved liver biomarkers, decreased liver fat, and visceral and deep subcutaneous adipose tissues after 18 months of intervention. Finally, we showed that lower consumption of processed food, sweets and beverages were associated with attenuated brain age. Conclusions Successful weight loss following lifestyle intervention might have a beneficial effect on the trajectory of brain aging. Funding The German Research Foundation (DFG), German Research Foundation - project number 209933838 - SFB 1052; B11, Israel Ministry of Health grant 87472511 (to I Shai); Israel Ministry of Science and Technology grant 3-13604 (to I Shai); and the California Walnuts Commission 09933838 SFB 105 (to I Shai).
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Affiliation(s)
- Gidon Levakov
- Department of Brain and Cognitive Sciences, Ben-Gurion University of the NegevBeer ShevaIsrael
| | - Alon Kaplan
- The Health & Nutrition Innovative International Research Center, Faculty of Health Sciences, Ben-Gurion University of the NegevBeer ShevaIsrael
- Department of Internal Medicine D, Chaim Sheba Medical CenterRamat-GanIsrael
| | - Anat Yaskolka Meir
- The Health & Nutrition Innovative International Research Center, Faculty of Health Sciences, Ben-Gurion University of the NegevBeer ShevaIsrael
| | - Ehud Rinott
- The Health & Nutrition Innovative International Research Center, Faculty of Health Sciences, Ben-Gurion University of the NegevBeer ShevaIsrael
| | - Gal Tsaban
- The Health & Nutrition Innovative International Research Center, Faculty of Health Sciences, Ben-Gurion University of the NegevBeer ShevaIsrael
| | - Hila Zelicha
- The Health & Nutrition Innovative International Research Center, Faculty of Health Sciences, Ben-Gurion University of the NegevBeer ShevaIsrael
| | | | - Uta Ceglarek
- Department of Medicine, University of LeipzigLeipzigGermany
| | | | - Ilan Shelef
- Department of Diagnostic Imaging, Soroka Medical CenterBeer ShevaIsrael
| | - Galia Avidan
- Department of Psychology, Ben-Gurion University of the NegevBeer ShevaIsrael
| | - Iris Shai
- The Health & Nutrition Innovative International Research Center, Faculty of Health Sciences, Ben-Gurion University of the NegevBeer ShevaIsrael
- Department of Medicine, University of LeipzigLeipzigGermany
- Department of Nutrition, Harvard T.H. Chan School of Public HealthBostonUnited States
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14
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Lohkamp KJ, van den Hoek AM, Solé-Guardia G, Lisovets M, Alves Hoffmann T, Velanaki K, Geenen B, Verweij V, Morrison MC, Kleemann R, Wiesmann M, Kiliaan AJ. The Preventive Effect of Exercise and Oral Branched-Chain Amino Acid Supplementation on Obesity-Induced Brain Changes in Ldlr−/−.Leiden Mice. Nutrients 2023; 15:nu15071716. [PMID: 37049556 PMCID: PMC10097391 DOI: 10.3390/nu15071716] [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: 02/16/2023] [Revised: 03/28/2023] [Accepted: 03/29/2023] [Indexed: 04/03/2023] Open
Abstract
Exercise and dietary interventions are promising approaches to tackle obesity and its obesogenic effects on the brain. We investigated the impact of exercise and possible synergistic effects of exercise and branched-chain amino acids (BCAA) supplementation on the brain and behavior in high-fat-diet (HFD)-induced obese Ldlr−/−.Leiden mice. Baseline measurements were performed in chow-fed Ldlr−/−.Leiden mice to assess metabolic risk factors, cognition, and brain structure using magnetic resonance imaging. Thereafter, a subgroup was sacrificed, serving as a healthy reference. The remaining mice were fed an HFD and divided into three groups: (i) no exercise, (ii) exercise, or (iii) exercise and dietary BCAA. Mice were followed for 6 months and aforementioned tests were repeated. We found that exercise alone changed cerebral blood flow, attenuated white matter loss, and reduced neuroinflammation compared to non-exercising HFD-fed mice. Contrarily, no favorable effects of exercise on the brain were found in combination with BCAA, and neuroinflammation was increased. However, cognition was slightly improved in exercising mice on BCAA. Moreover, BCAA and exercise increased the percentage of epididymal white adipose tissue and muscle weight, decreased body weight and fasting insulin levels, improved the circadian rhythm, and transiently improved grip strength. In conclusion, BCAA should be supplemented with caution, although beneficial effects on metabolism, behavior, and cognition were observed.
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Affiliation(s)
- Klara J. Lohkamp
- Department of Medical Imaging, Anatomy, Radboud University Medical Center, Donders Institute for Brain, Cognition, and Behavior, Preclinical Imaging Center PRIME, Radboud Alzheimer Center, 6525 EZ Nijmegen, The Netherlands; (K.J.L.); (G.S.-G.); (M.L.); (T.A.H.); (K.V.); (B.G.); (V.V.); (M.W.)
| | - Anita M. van den Hoek
- Department of Metabolic Health Research, Netherlands Organisation for Applied Scientific Research (TNO), 2333 BE Leiden, The Netherlands; (A.M.v.d.H.); (M.C.M.); (R.K.)
| | - Gemma Solé-Guardia
- Department of Medical Imaging, Anatomy, Radboud University Medical Center, Donders Institute for Brain, Cognition, and Behavior, Preclinical Imaging Center PRIME, Radboud Alzheimer Center, 6525 EZ Nijmegen, The Netherlands; (K.J.L.); (G.S.-G.); (M.L.); (T.A.H.); (K.V.); (B.G.); (V.V.); (M.W.)
| | - Maria Lisovets
- Department of Medical Imaging, Anatomy, Radboud University Medical Center, Donders Institute for Brain, Cognition, and Behavior, Preclinical Imaging Center PRIME, Radboud Alzheimer Center, 6525 EZ Nijmegen, The Netherlands; (K.J.L.); (G.S.-G.); (M.L.); (T.A.H.); (K.V.); (B.G.); (V.V.); (M.W.)
| | - Talissa Alves Hoffmann
- Department of Medical Imaging, Anatomy, Radboud University Medical Center, Donders Institute for Brain, Cognition, and Behavior, Preclinical Imaging Center PRIME, Radboud Alzheimer Center, 6525 EZ Nijmegen, The Netherlands; (K.J.L.); (G.S.-G.); (M.L.); (T.A.H.); (K.V.); (B.G.); (V.V.); (M.W.)
| | - Konstantina Velanaki
- Department of Medical Imaging, Anatomy, Radboud University Medical Center, Donders Institute for Brain, Cognition, and Behavior, Preclinical Imaging Center PRIME, Radboud Alzheimer Center, 6525 EZ Nijmegen, The Netherlands; (K.J.L.); (G.S.-G.); (M.L.); (T.A.H.); (K.V.); (B.G.); (V.V.); (M.W.)
| | - Bram Geenen
- Department of Medical Imaging, Anatomy, Radboud University Medical Center, Donders Institute for Brain, Cognition, and Behavior, Preclinical Imaging Center PRIME, Radboud Alzheimer Center, 6525 EZ Nijmegen, The Netherlands; (K.J.L.); (G.S.-G.); (M.L.); (T.A.H.); (K.V.); (B.G.); (V.V.); (M.W.)
| | - Vivienne Verweij
- Department of Medical Imaging, Anatomy, Radboud University Medical Center, Donders Institute for Brain, Cognition, and Behavior, Preclinical Imaging Center PRIME, Radboud Alzheimer Center, 6525 EZ Nijmegen, The Netherlands; (K.J.L.); (G.S.-G.); (M.L.); (T.A.H.); (K.V.); (B.G.); (V.V.); (M.W.)
| | - Martine C. Morrison
- Department of Metabolic Health Research, Netherlands Organisation for Applied Scientific Research (TNO), 2333 BE Leiden, The Netherlands; (A.M.v.d.H.); (M.C.M.); (R.K.)
| | - Robert Kleemann
- Department of Metabolic Health Research, Netherlands Organisation for Applied Scientific Research (TNO), 2333 BE Leiden, The Netherlands; (A.M.v.d.H.); (M.C.M.); (R.K.)
| | - Maximilian Wiesmann
- Department of Medical Imaging, Anatomy, Radboud University Medical Center, Donders Institute for Brain, Cognition, and Behavior, Preclinical Imaging Center PRIME, Radboud Alzheimer Center, 6525 EZ Nijmegen, The Netherlands; (K.J.L.); (G.S.-G.); (M.L.); (T.A.H.); (K.V.); (B.G.); (V.V.); (M.W.)
| | - Amanda J. Kiliaan
- Department of Medical Imaging, Anatomy, Radboud University Medical Center, Donders Institute for Brain, Cognition, and Behavior, Preclinical Imaging Center PRIME, Radboud Alzheimer Center, 6525 EZ Nijmegen, The Netherlands; (K.J.L.); (G.S.-G.); (M.L.); (T.A.H.); (K.V.); (B.G.); (V.V.); (M.W.)
- Correspondence:
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15
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Yan S, Zhang Y, Yin X, Chen J, Zhu Z, Jin H, Li H, Yin J, Jiang Y. Alterations in white matter integrity and network topological properties are associated with a decrease in global motion perception in older adults. Front Aging Neurosci 2023; 15:1045263. [PMID: 36967826 PMCID: PMC10034108 DOI: 10.3389/fnagi.2023.1045263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Accepted: 02/20/2023] [Indexed: 03/11/2023] Open
Abstract
Previous studies have mainly explored the effects of structural and functional aging of cortical regions on global motion sensitivity in older adults, but none have explored the structural white matter (WM) substrates underlying the age-related decrease in global motion perception (GMP). In this study, random dot kinematogram and diffusion tensor imaging were used to investigate the effects of age-related reductions in WM fiber integrity and connectivity across various regions on GMP. We recruited 106 younger adults and 94 older adults and utilized both tract-based spatial statistics analysis and graph theoretical analysis to comprehensively investigate group differences in WM microstructural and network connections between older and younger adults at the microscopic and macroscopic levels. Moreover, partial correlation analysis was used to explore the relationship between alterations in WM and the age-related decrease in GMP. The results showed that decreased GMP in older adults was related to decreased fractional anisotropy (FA) of the inferior frontal-occipital fasciculus, inferior longitudinal fasciculus, anterior thalamic radiation, superior longitudinal fasciculus, and cingulum cingulate gyrus. Decreased global efficiency of the WM structural network and increased characteristic path length were closely associated with decreased global motion sensitivity. These results suggest that the reduced GMP in older adults may stem from reduced WM integrity in specific regions of WM fiber tracts as well as decreased efficiency of information integration and communication between distant cortical regions, supporting the “disconnection hypothesis” of cognitive aging.
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Affiliation(s)
- Shizhen Yan
- Faculty of Psychology, Tianjin Normal University, Tianjin, China
| | - Yuping Zhang
- Medicine School of Rehabilitation, Henan University of Chinese Medicine, Zhengzhou, China
| | - Xiaojuan Yin
- Faculty of Psychology, Tianjin Normal University, Tianjin, China
| | - Juntao Chen
- Faculty of Psychology, Tianjin Normal University, Tianjin, China
| | - Ziliang Zhu
- State Key Laboratory for Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
| | - Hua Jin
- Faculty of Psychology, Tianjin Normal University, Tianjin, China
- Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin, China
- *Correspondence: Hua Jin,
| | - Han Li
- The First Central Clinical College of Tianjin Medical University, Tianjin, China
| | - Jianzhong Yin
- Department of Radiology, People’s Hospital of Haikou, Haikou, China
| | - Yunpeng Jiang
- Faculty of Psychology, Tianjin Normal University, Tianjin, China
- Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin, China
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16
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Sakib MN, Best JR, Hall PA. Bidirectional Associations Between Adiposity and Cognitive Function and Mediation by Brain Morphology in the ABCD Study. JAMA Netw Open 2023; 6:e2255631. [PMID: 36795417 PMCID: PMC9936350 DOI: 10.1001/jamanetworkopen.2022.55631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 12/26/2022] [Indexed: 02/17/2023] Open
Abstract
Importance Most epidemiologic studies examine the brain as an outcome in relation to adiposity (ie, the brain-as-outcome perspective), but it is also a potential risk factor associated with adiposity accumulation over time (ie, the brain-as-risk factor perspective). The bidirectionality hypothesis has not been fully explored in adolescent samples previously. Objective To assess bidirectional associations between adiposity and cognitive function in youth and test mediational pathways through brain morphology (specifically the lateral prefrontal cortex [LPFC]), lifestyle behaviors, and blood pressure. Design, Setting, and Participants This cohort study uses data (wave 1-3; 2 years of follow-up) from the Adolescent Brain Cognitive Development (ABCD) Study, a long-term longitudinal investigation of brain development in the United States launched in 2015, which recruited 11 878 children aged 9 to 10 years at inception. Data analysis was performed from August 2021 to June 2022. Main Outcomes and Measures Multivariate multivariable regression analyses were used to assess bidirectional associations of indicators of cognitive function (eg, executive function, processing speed, episodic memory, receptive vocabulary and reading skills) and adiposity (eg, body mass index z scores [zBMI] and waist circumference [WC]). Mediators considered for this investigation were lifestyle variables (eg, diet and physical activity), blood pressure, and the morphology of the LPFC and its subregions. Results A total of 11 103 individuals (mean [SD] age, 9.91 [0.6] years; 5307 females [48%]; 8293 White individuals [75%] and 2264 Hispanic individuals [21%]) were included in the current study. Multivariate multivariable regression analyses revealed that higher baseline zBMI and WC were associated with worse follow-up episodic memory (β, -0.04; 95% CI, -0.07 to -0.01) and better vocabulary (β, 0.03; 95% CI, 0.002 to 0.06) task performance, in covariate adjusted models. Similarly, superior baseline executive function (zBMI: β, -0.03; 95% CI, -0.06 to -0.01; WC: β, -0.04; 95% CI, -0.07 to -0.01) and episodic memory (zBMI: β, -0.04; 95% CI, -0.07 to -0.02; WC: β, -0.03; 95% CI, -0.06 to -0.002) task performance were associated with better follow-up adiposity status in covariate adjusted models. Cross-lagged panel models with latent variable modeling had a bidirectional association with executive function task performance (brain-as-outcome: β, -0.02; 95% CI, -0.05 to -0.001; brain-as-risk factor: β, -0.01; 95% CI, -0.02 to -0.003). The hypothesized associations were statistically mediated by LPFC volume and thickness, physical activity, and blood pressure. Conclusions and Relevance In this cohort study, executive function and episodic memory were bidirectionally associated with adiposity indices over time in this adolescent sample. These findings suggest that the brain can be both a risk factor and an outcome of adiposity; this complex bidirectional association should be taken into account in future research and clinical practice.
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Affiliation(s)
- Mohammad Nazmus Sakib
- School of Public Health Sciences, Faculty of Health, University of Waterloo, Waterloo, Ontario, Canada
| | - John R. Best
- Gerontology Research Centre, Simon Fraser University, Burnaby, British Columbia, Canada
| | - Peter A. Hall
- School of Public Health Sciences, Faculty of Health, University of Waterloo, Waterloo, Ontario, Canada
- Centre for Bioengineering and Biotechnology, University of Waterloo, Waterloo, Ontario, Canada
- Department of Psychology, University of Waterloo, Waterloo, Ontario, Canada
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Yang Y, Wang J, Qiu J, Feng T, He Q, Lei X, Chen H. Perigenual anterior cingulate cortex and its structural covariance as predictors for future body fat gain in young adults. Obesity (Silver Spring) 2023; 31:446-453. [PMID: 36617438 DOI: 10.1002/oby.23629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 09/16/2022] [Accepted: 09/29/2022] [Indexed: 01/10/2023]
Abstract
OBJECTIVE This study aimed to examine whether baseline gray matter (GM) volume and structural covariance patterns could predict body fat gain over 1 to 2 years in a relatively large sample. METHODS Voxel-based morphometry (VBM) analysis was applied to examine the association between baseline GM volume and body fat gain in 502 participants over 1 to 2 years. Furthermore, this study tested whether the structural covariances between the regions identified as seeds from VBM analysis and the rest of the brain were associated with future body fat gain. RESULTS A significant positive association was observed between baseline GM volume in the perigenual anterior cingulate cortex (pgACC) and body fat gain over 1 to 2 years. Furthermore, relative to those with lower future body fat gain, pgACC covaried more extensively with the middle frontal gyrus, middle temporal gyrus, inferior temporal gyrus, and cerebellum in participants with higher future body fat gain. CONCLUSIONS Using VBM and structural covariance network analysis, the current study revealed that higher GM volume of pgACC and its increased structural covariances with specific brain regions were associated with future weight gain, which may guide the development of more effective prevention and treatment interventions for obesity.
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Affiliation(s)
- Yingkai Yang
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality (Ministry of Education), Southwest University, Chongqing, China
| | - Junjie Wang
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality (Ministry of Education), Southwest University, Chongqing, China
| | - Jiang Qiu
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality (Ministry of Education), Southwest University, Chongqing, China
| | - Tingyong Feng
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality (Ministry of Education), Southwest University, Chongqing, China
| | - Qinghua He
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality (Ministry of Education), Southwest University, Chongqing, China
| | - Xu Lei
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality (Ministry of Education), Southwest University, Chongqing, China
| | - Hong Chen
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality (Ministry of Education), Southwest University, Chongqing, China
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18
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Dietze LMF, McWhinney SR, Radua J, Hajek T. Extended and replicated white matter changes in obesity: Voxel-based and region of interest meta-analyses of diffusion tensor imaging studies. Front Nutr 2023; 10:1108360. [PMID: 36960197 PMCID: PMC10028081 DOI: 10.3389/fnut.2023.1108360] [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: 11/25/2022] [Accepted: 02/03/2023] [Indexed: 03/09/2023] Open
Abstract
Introduction Obesity has become a global public health issue, which impacts general health and the brain. Associations between obesity and white matter microstructure measured using diffusion tensor imaging have been under reviewed, despite a relatively large number of individual studies. Our objective was to determine the association between obesity and white matter microstructure in a large general population sample. Methods We analyzed location of brain white matter changes in obesity using the Anisotropic Effect Size Seed-based d Mapping (AES-SDM) method in a voxel-based meta-analysis, with validation in a region of interest (ROI) effect size meta-analysis. Our sample included 21 742 individuals from 51 studies. Results The voxel-based spatial meta-analysis demonstrated reduced fractional anisotropy (FA) with obesity in the genu and splenium of the corpus callosum, middle cerebellar peduncles, anterior thalamic radiation, cortico-spinal projections, and cerebellum. The ROI effect size meta-analysis replicated associations between obesity and lower FA in the genu and splenium of the corpus callosum, middle cerebellar peduncles. Effect size of obesity related brain changes was small to medium. Discussion Our findings demonstrate obesity related brain white matter changes are localized rather than diffuse. Better understanding the brain correlates of obesity could help identify risk factors, and targets for prevention or treatment of brain changes.
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Affiliation(s)
- Lorielle M. F. Dietze
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
- Department of Medical Neuroscience, Dalhousie University, Halifax, NS, Canada
| | | | - Joaquim Radua
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
- Mental Health Research Networking Center (CIBERSAM), Madrid, Spain
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
- Department of Clinical Neuroscience, Center for Psychiatric Research and Education, Karolinska Institutet, Stockholm, Sweden
| | - Tomas Hajek
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
- National Institute of Mental Health, Prague, Czechia
- *Correspondence: Tomas Hajek,
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19
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Wang N, Sun D, Zhang X, Xi Z, Li J, Xie L. Nerve abnormalities in lumbar disc herniation: A systematic review and meta-analysis of diffusion tensor imaging. PLoS One 2022; 17:e0279499. [PMID: 36574380 PMCID: PMC9794072 DOI: 10.1371/journal.pone.0279499] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 12/08/2022] [Indexed: 12/28/2022] Open
Abstract
PURPOSE The purpose of this study was to examine the values of fractional anisotropy (FA) and apparent diffusion coefficient (ADC) in diffusion tensor imaging (DTI) for diagnosing patients with nerve impairment due to lumbar disc herniation (LDH). METHODS A literature search of databases (PubMed, Web of Science, Cochrane Library and Embase) was systematically performed to identify articles published before September 2021 that were relevant to this study. FA and ADC estimates of compressed nerve roots due to LDH and healthy controls in the same segment were compared, with either fixed or random effects models selected according to I2 heterogeneity. Additionally, subgroup analysis, sensitivity analysis, potential publication bias analysis and meta-regression analysis were also performed. RESULTS A total of 369 patients with LDH from 11 publications were included in this meta-analysis. The results showed significantly lower FA values (Weighted Mean Difference (WMD): -0.08, 95% confidence interval (CI): -0.09 to -0.07, P ≤ 0.001, I2 = 87.6%) and significantly higher ADC values (WMD: 0.25, 95% CI: 0.20 to 0.30, P ≤ 0.001, I2 = 71.4%) of the nerve on the compressed side due to LDH compared to the healthy side. Subgroup analysis indicated that different countries and magnetic field strengths may be associated with higher heterogeneity. Furthermore, meta-regression analysis further revealed that segment and field strength did not have a significant effect on the results, regardless of the FA or ADC values. Contrastingly, in FA, the year of publication, country, b value and directions showed an effect on the results. CONCLUSIONS This meta-analysis showed a significant decrease in FA and a significant increase in ADC in patients with nerve damage due to LDH. The results favourably support the presence of nerve impairment in patients with LDH.
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Affiliation(s)
- Nan Wang
- Department of Spine Surgery, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine for Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, P.R. China
| | - Daoxi Sun
- Department of Spine Surgery, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine for Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, P.R. China
| | - Xiaoyu Zhang
- Department of Spine Surgery, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine for Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, P.R. China
| | - Zhipeng Xi
- Department of Spine Surgery, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine for Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, P.R. China
| | - Jingchi Li
- Department of Spine Surgery, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine for Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, P.R. China
| | - Lin Xie
- Department of Spine Surgery, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine for Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, P.R. China
- * E-mail:
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20
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Liu ZX, Whitehead B, Botoseneanu A. Association of Psychological distress and Physical Health with Subjective and Objective Memory in Older Adults. J Aging Health 2022:8982643221143828. [PMID: 36459693 DOI: 10.1177/08982643221143828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
Abstract
ObjectivesTo investigate how indicators of psychological stress and physical health differentially influence subjective and objective memory in older adults. Methods: 404 adults aged ≥55 without cognitive impairment participated in remote assessment of physical health (PHY; multimorbidity, body-mass-index), psychological distress (PDS; perceived stress, anxiety, depression), subjective memory complaints (SM), and task-based objective memory performance (OM). Results: Separately, both PHY and PDS significantly predicted SM (p < 0.01), but only PHY was associated with OM (p = 0.05). Combined models showed that PHY and PDS maintained significant association with SM (p < 0.01, R2 = 0.30), while only PHY was associated with OM (p = .07, R2 = 0.03; for associative OM, p = 0.04). Discussion: SM is associated with participants' psychological profile, highlighting the importance of addressing these factors when assessing SM. The results also reveal that remotely-administered OM tasks are more immune to participants' psychological profile, and support previously-established links between physical health and objective and subjective memory function.
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Affiliation(s)
- Zhong-Xu Liu
- Department of Behavioral Sciences, 177870University of Michigan-Dearborn, Dearborn, MI, USA
| | - Brenda Whitehead
- Department of Behavioral Sciences, 177870University of Michigan-Dearborn, Dearborn, MI, USA.,School of Behavioral Science, 492177Grace College, Winona Lake, IN, USA
| | - Anda Botoseneanu
- Department of Health and Human Services, 14711University of Michigan-Dearborn, Dearborn, MI, USA.,Institute of Gerontology, University of Michigan, Ann Arbor, MI, USA
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21
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Obesity-Related Neuroinflammation: Magnetic Resonance and Microscopy Imaging of the Brain. Int J Mol Sci 2022; 23:ijms23158790. [PMID: 35955925 PMCID: PMC9368789 DOI: 10.3390/ijms23158790] [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: 07/17/2022] [Revised: 08/03/2022] [Accepted: 08/06/2022] [Indexed: 12/01/2022] Open
Abstract
Obesity is a major risk factor of Alzheimer’s disease and related dementias. The principal feature of dementia is a loss of neurons and brain atrophy. The mechanistic links between obesity and the neurodegenerative processes of dementias are not fully understood, but recent research suggests that obesity-related systemic inflammation and subsequent neuroinflammation may be involved. Adipose tissues release multiple proinflammatory molecules (fatty acids and cytokines) that impact blood and vessel cells, inducing low-grade systemic inflammation that can transition to tissues, including the brain. Inflammation in the brain—neuroinflammation—is one of key elements of the pathobiology of neurodegenerative disorders; it is characterized by the activation of microglia, the resident immune cells in the brain, and by the structural and functional changes of other cells forming the brain parenchyma, including neurons. Such cellular changes have been shown in animal models with direct methods, such as confocal microscopy. In humans, cellular changes are less tangible, as only indirect methods such as magnetic resonance (MR) imaging are usually used. In these studies, obesity and low-grade systemic inflammation have been associated with lower volumes of the cerebral gray matter, cortex, and hippocampus, as well as altered tissue MR properties (suggesting microstructural variations in cellular and molecular composition). How these structural variations in the human brain observed using MR imaging relate to the cellular variations in the animal brain seen with microscopy is not well understood. This review describes the current understanding of neuroinflammation in the context of obesity-induced systemic inflammation, and it highlights need for the bridge between animal microscopy and human MR imaging studies.
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22
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García-García I, Michaud A, Jurado MÁ, Dagher A, Morys F. Mechanisms linking obesity and its metabolic comorbidities with cerebral grey and white matter changes. Rev Endocr Metab Disord 2022; 23:833-843. [PMID: 35059979 DOI: 10.1007/s11154-021-09706-5] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/14/2021] [Indexed: 02/07/2023]
Abstract
Obesity is a preventable risk factor for cerebrovascular disorders and it is associated with cerebral grey and white matter changes. Specifically, individuals with obesity show diminished grey matter volume and thickness, which seems to be more prominent among fronto-temporal regions in the brain. At the same time, obesity is associated with lower microstructural white matter integrity, and it has been found to precede increases in white matter hyperintensity load. To date, however, it is unclear whether these findings can be attributed solely to obesity or whether they are a consequence of cardiometabolic complications that often co-exist with obesity, such as low-grade systemic inflammation, hypertension, insulin resistance, or dyslipidemia. In this narrative review we aim to provide a comprehensive overview of the potential impact of obesity and a number of its cardiometabolic consequences on brain integrity, both separately and in synergy with each other. We also identify current gaps in knowledge and outline recommendations for future research.
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Affiliation(s)
- Isabel García-García
- Department of Clinical Psychology and Psychobiology, Universitat de Barcelona, Barcelona, Spain.
- Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain.
| | | | - María Ángeles Jurado
- Department of Clinical Psychology and Psychobiology, Universitat de Barcelona, Barcelona, Spain
- Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain
- Institut de Recerca Sant Joan de Déu, Hospital Sant Joan de Déu, Esplugues de Llobregat, Spain
| | - Alain Dagher
- Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| | - Filip Morys
- Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
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23
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Zeighami Y, Dadar M, Daoust J, Pelletier M, Biertho L, Bouvet-Bouchard L, Fulton S, Tchernof A, Dagher A, Richard D, Evans A, Michaud A. Impact of Weight Loss on Brain Age: Improved Brain Health Following Bariatric Surgery. Neuroimage 2022; 259:119415. [PMID: 35760293 DOI: 10.1016/j.neuroimage.2022.119415] [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: 12/10/2021] [Revised: 06/17/2022] [Accepted: 06/23/2022] [Indexed: 10/17/2022] Open
Abstract
Individuals living with obesity tend to have increased brain age, reflecting poorer brain health likely due to grey and white matter atrophy related to obesity. However, it is unclear if older brain age associated with obesity can be reversed following weight loss and cardiometabolic health improvement. The aim of this study was to assess the impact of weight loss and cardiometabolic improvement following bariatric surgery on brain health, as measured by change in brain age estimated based on voxel-based morphometry (VBM) measurements. We used three distinct datasets to perform this study: 1) CamCAN dataset to train the brain age prediction model, 2) Human Connectome Project (HCP) dataset to investigate whether individuals with obesity have greater brain age than individuals with normal weight, and 3) pre-surgery, as well as 4, 12, and 24 month post-surgery data from participants (n=87, age: 44.0±9.2 years, BMI: 43.9±4.2 kg/m2) who underwent a bariatric surgery to investigate whether weight loss and cardiometabolic improvement as a result of bariatric surgery lowers the brain age. As expected, our results from the HCP dataset showed a higher brain age for individuals with obesity compared to individuals with normal weight (T-value = 7.08, p-value < 0.0001). We also found significant improvement in brain health, indicated by a decrease of 2.9 and 5.6 years in adjusted delta age at 12 and 24 months following bariatric surgery compared to baseline (p-value < 0.0005 for both). While the overall effect seemed to be driven by a global change across all brain regions and not from a specific region, our exploratory analysis showed lower delta age in certain brain regions (mainly in somatomotor, visual, and ventral attention networks) at 24 months. This reduced age was also associated with post-surgery improvements in BMI, systolic/diastolic blood pressure, and HOMA-IR (T-valueBMI=4.29, T-valueSBP=4.67, T-valueDBP=4.12, T-valueHOMA-IR=3.16, all p-values < 0.05). In conclusion, these results suggest that obesity-related brain health abnormalities (as measured by delta age) might be reversed by bariatric surgery-induced weight loss and widespread improvements in cardiometabolic alterations.
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Affiliation(s)
- Yashar Zeighami
- Douglas Research Centre, Department of Psychiatry, McGill University, Montreal, Canada; Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, Canada.
| | - Mahsa Dadar
- Douglas Research Centre, Department of Psychiatry, McGill University, Montreal, Canada
| | - Justine Daoust
- Centre de recherche de l'Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval, Québec, Canada
| | - Mélissa Pelletier
- 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
| | - Léonie Bouvet-Bouchard
- Département de chirurgie générale, Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval, Québec, Canada
| | - Stephanie Fulton
- Centre de Recherche du CHUM, Department of Nutrition, Université de Montréal, Montreal Diabetes Research Center, Montreal, QC, Canada
| | - André Tchernof
- 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
| | - Denis Richard
- Département de chirurgie générale, Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval, Québec, Canada
| | - Alan Evans
- 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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Andica C, Kamagata K, Uchida W, Takabayashi K, Shimoji K, Kaga H, Someya Y, Tamura Y, Kawamori R, Watada H, Hori M, Aoki S. White matter fiber-specific degeneration in older adults with metabolic syndrome. Mol Metab 2022; 62:101527. [PMID: 35691528 PMCID: PMC9234232 DOI: 10.1016/j.molmet.2022.101527] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 06/05/2022] [Accepted: 06/06/2022] [Indexed: 11/16/2022] Open
Abstract
OBJECTIVE Metabolic syndrome (MetS) is defined as a complex of interrelated risk factors for type 2 diabetes and cardiovascular disease, including glucose intolerance, abdominal obesity, hypertension, and dyslipidemia. Studies using diffusion tensor imaging (DTI) have reported white matter (WM) microstructural abnormalities in MetS. However, interpretation of DTI metrics is limited primarily due to the challenges of modeling complex WM structures. The present study used fixel-based analysis (FBA) to assess the effect of MetS on the fiber tract-specific WM microstructure in older adults and its relationship with MetS-related measurements and cognitive and locomotor functions to better understand the pathophysiology of MetS. METHODS Fixel-based metrics, including microstructural fiber density (FD), macrostructural fiber-bundle cross-section (FC), and a combination of FD and FC (FDC), were evaluated in 16 healthy controls (no components of MetS; four men; mean age, 71.31 ± 5.06 years), 57 individuals with premetabolic syndrome (preMetS; one or two components of MetS; 29 men; mean age, 72.44 ± 5.82 years), and 46 individuals with MetS (three to five components of MetS; 27 men; mean age, 72.15 ± 4.97 years) using whole-brain exploratory FBA. Tract of interest (TOI) analysis was then performed using TractSeg across 14 selected WM tracts previously associated with MetS. The associations between fixel-based metrics and MetS-related measurements, neuropsychological, and locomotor function tests were also analyzed in individuals with preMetS and MetS combined. In addition, tensor-based metrics (i.e., fractional anisotropy [FA] and mean diffusivity [MD]) were compared among the groups using tract-based spatial statistics (TBSS) analysis. RESULTS In whole-brain FBA, individuals with MetS showed significantly lower FD, FC, and FDC compared with healthy controls in WM areas, such as the splenium of the corpus callosum (CC), corticospinal tract (CST), middle cerebellar peduncle (MCP), and superior cerebellar peduncle (SCP). Meanwhile, in fixel-based TOI, significantly reduced FD was observed in individuals with preMetS and MetS in the anterior thalamic radiation, CST, SCP, and splenium of the CC compared with healthy controls, with relatively greater effect sizes observed in individuals with MetS. Compared with healthy controls, significantly reduced FC and FDC were only demonstrated in individuals with MetS, including regions with loss of FD, inferior cerebellar peduncle, inferior fronto-occipital fasciculus, MCP, and superior longitudinal fasciculus part I. Furthermore, negative correlations were observed between FD and Brinkman index of cigarette consumption cumulative amount and between FC or FDC and the Trail Making Test (parts B-A), which is a measure of executive function, waist circumference, or low-density lipoprotein cholesterol. Finally, TBSS analysis revealed that FA and MD were not significantly different among all groups. CONCLUSIONS The FBA results demonstrate that substantial axonal loss and atrophy in individuals with MetS and early axonal loss without fiber-bundle morphological changes in those with preMetS within the WM tracts are crucial to cognitive and motor function. FBA also clarified the association between executive dysfunction, abdominal obesity, hyper-low-density lipoprotein cholesterolemia, smoking habit, and compromised WM neural tissue microstructure in MetS.
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Affiliation(s)
- Christina Andica
- Faculty of Health Data Science, Juntendo University, Urayasu, Chiba, 279-0013, Japan; Department of Radiology, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-8421, Japan.
| | - Koji Kamagata
- Department of Radiology, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-8421, Japan
| | - Wataru Uchida
- Department of Radiology, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-8421, Japan
| | - Kaito Takabayashi
- Department of Radiology, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-8421, Japan
| | - Keigo Shimoji
- Department of Radiology, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-8421, Japan
| | - Hideyoshi Kaga
- Sportology Center, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-0034, Japan; Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-8421, Japan
| | - Yuki Someya
- Sportology Center, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-0034, Japan
| | - Yoshifumi Tamura
- Sportology Center, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-0034, Japan; Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-8421, Japan
| | - Ryuzo Kawamori
- Sportology Center, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-0034, Japan; Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-8421, Japan
| | - Hirotaka Watada
- Sportology Center, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-0034, Japan; Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-8421, Japan
| | - Masaaki Hori
- Department of Radiology, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-8421, Japan; Department of Radiology, Toho University Omori Medical Center, Ota, Tokyo, 143-8541, Japan
| | - Shigeki Aoki
- Department of Radiology, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, 113-8421, Japan
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25
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Nazmus Sakib M, Best JR, Ramezan R, Thompson ME, Hall PA. Bidirectional Associations Between Adiposity and Cognitive Function: A Prospective Analysis of the Canadian Longitudinal Study on Aging (CLSA). J Gerontol A Biol Sci Med Sci 2022; 78:314-325. [PMID: 35640256 PMCID: PMC9951058 DOI: 10.1093/gerona/glac115] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Theoretical perspectives suggest that adiposity and cognitive function may be bidirectionally associated, but this has not been examined in a large-scale data set. The current investigation aims to fill this gap using a large, representative sample of middle-aged and older adults. METHODS Using data from the Canadian Longitudinal Study on Aging (N = 25 854), the bidirectional hypothesis was examined with 3 indicators of cognitive function (ie, executive function, processing speed, and verbal fluency) and adiposity (ie, waist circumference [WC], body mass index [BMI], and total fat mass). We used multivariate multivariable regression and structural equation modeling to assess the prospective associations between adiposity and cognitive indicators. RESULTS Analyses revealed that higher baseline WC was associated with higher Stroop interference at follow-up for both middle-aged (standardized estimate, β = 0.08, 95% confidence interval [CI] 0.06, 0.10) and older adults (β = 0.07, 95% CI 0.04, 0.09). Similarly, higher baseline Stroop interference was also associated with higher follow-up WC in middle-aged (β = 0.08, 95% CI 0.06, 0.10) and older adults (β = 0.03, 95% CI 0.01, 0.06). Effects involving semantic fluency and processing speed were less consistent. The earlier effects were similar to those observed using other adiposity indicators (eg, BMI and total fat mass) and were robust to adjustment for demographics and other cofounders, and when using latent variable modeling of the adiposity variable. CONCLUSION Evidence for a bidirectional relationship between adiposity and cognitive function exists, though the associations are most reliable for executive function and primarily evident at midlife.
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Affiliation(s)
- Mohammad Nazmus Sakib
- School of Public Health Sciences, Faculty of Health, University of Waterloo, Waterloo, Ontario, Canada
| | - John R Best
- Gerontology Research Centre, Simon Fraser University, Burnaby, British Columbia, Canada
| | - Reza Ramezan
- Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Ontario, Canada
| | - Mary E Thompson
- Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Ontario, Canada
| | - Peter A Hall
- Address correspondence to: Peter A. Hall, PhD, School of Public Health Sciences, Faculty of Health, University of Waterloo, 200 University Avenue West, Waterloo, Ontario, Canada, N2L 3G1. E-mail:
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Fabianová K, Babeľová J, Fabian D, Popovičová A, Martončíková M, Raček A, Račeková E. Maternal High-Energy Diet during Pregnancy and Lactation Impairs Neurogenesis and Alters the Behavior of Adult Offspring in a Phenotype-Dependent Manner. Int J Mol Sci 2022; 23:ijms23105564. [PMID: 35628378 PMCID: PMC9146615 DOI: 10.3390/ijms23105564] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 05/09/2022] [Accepted: 05/13/2022] [Indexed: 11/30/2022] Open
Abstract
Obesity is one of the biggest and most costly health challenges the modern world encounters. Substantial evidence suggests that the risk of metabolic syndrome or obesity formation may be affected at a very early stage of development, in particular through fetal and/or neonatal overfeeding. Outcomes from epidemiological studies indicate that maternal nutrition during pregnancy and lactation has a profound impact on adult neurogenesis in the offspring. In the present study, an intergenerational dietary model employing overfeeding of experimental mice during prenatal and early postnatal development was applied to acquire mice with various body conditions. We investigated the impact of the maternal high-energy diet during pregnancy and lactation on adult neurogenesis in the olfactory neurogenic region involving the subventricular zone (SVZ) and the rostral migratory stream (RMS) and some behavioral tasks including memory, anxiety and nociception. Our findings show that a maternal high-energy diet administered during pregnancy and lactation modifies proliferation and differentiation, and induced degeneration of cells in the SVZ/RMS of offspring, but only in mice where extreme phenotype, such as significant overweight/adiposity or obesity is manifested. Thereafter, a maternal high-energy diet enhances anxiety-related behavior in offspring regardless of its body condition and impairs learning and memory in offspring with an extreme phenotype.
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Affiliation(s)
- Kamila Fabianová
- Institute of Neurobiology, Biomedical Research Center, Slovak Academy of Sciences, Šoltésovej 4, 040 01 Košice, Slovakia; (A.P.); (M.M.); (A.R.); (E.R.)
- Correspondence:
| | - Janka Babeľová
- Centre of Biosciences, Institute of Animal Physiology, Slovak Academy of Sciences, Šoltésovej 4-6, 040 01 Košice, Slovakia; (J.B.); (D.F.)
| | - Dušan Fabian
- Centre of Biosciences, Institute of Animal Physiology, Slovak Academy of Sciences, Šoltésovej 4-6, 040 01 Košice, Slovakia; (J.B.); (D.F.)
| | - Alexandra Popovičová
- Institute of Neurobiology, Biomedical Research Center, Slovak Academy of Sciences, Šoltésovej 4, 040 01 Košice, Slovakia; (A.P.); (M.M.); (A.R.); (E.R.)
| | - Marcela Martončíková
- Institute of Neurobiology, Biomedical Research Center, Slovak Academy of Sciences, Šoltésovej 4, 040 01 Košice, Slovakia; (A.P.); (M.M.); (A.R.); (E.R.)
| | - Adam Raček
- Institute of Neurobiology, Biomedical Research Center, Slovak Academy of Sciences, Šoltésovej 4, 040 01 Košice, Slovakia; (A.P.); (M.M.); (A.R.); (E.R.)
| | - Enikő Račeková
- Institute of Neurobiology, Biomedical Research Center, Slovak Academy of Sciences, Šoltésovej 4, 040 01 Košice, Slovakia; (A.P.); (M.M.); (A.R.); (E.R.)
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Lin Q, Jiang Y, Sun X, Zhang Y, Shan W, Zhao J, Wang X, Zhu Q, Sun W, Lu H, Jiang F. Weight spectrum and executive function in adolescents: the moderating role of negative emotions. Child Adolesc Psychiatry Ment Health 2022; 16:34. [PMID: 35534893 PMCID: PMC9087912 DOI: 10.1186/s13034-022-00468-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 04/06/2022] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND While recent works suggested that overweight/obesity may impair executive function (EF), the overweight/obesity-EF relationship has not been well studied in adolescents. Furthermore, no research has investigated adolescent EF impairments across the weight spectrum (e.g., underweight or thinness, normal, overweight/obesity), especially those with underweight condition, with the moderating effect of negative emotions in the weight-EF association being limitedly investigated. We aimed to determine whether overall and abdominal weight spectrum associated with EF impairments and to identity whether negative emotions moderate the weight-EF link in adolescents. METHODS We applied a subsample of the SCHEDULE-A project. Adolescents (11-18 years) were recruited using a multi-stage cluster random sampling approach. We measured the overall and abdominal weight spectrum by body mass index z-score and waist-to-height ratio, respectively. We used the Behavior Rating Inventory of Executive Function (BRIEF) to evaluate adolescent EF in nature setting, and utilized the Depression Anxiety and Stress Scales (DASS-21) to assess three types of negative emotional status (i.e., depression, anxiety, and stress). RESULTS Of the 1935 adolescents, 963 (49.8%) were male. We observed that abdominal, not overall, overweight was associated with the Global Executive Composite (GEC) impairment (OR = 1.59, 95% CI 1.07-2.35), particularly for inhibit, emotion control, shift, working memory, and monitor domains. Furthermore, depression moderated the abdominal overweight-GEC association (P = 0.032 for interaction term), especially for emotional control, working memory, and initiate dimensions. Moreover, we also found abdominal thinness was associated with the Metacognition Index problem (OR = 1.33, 95% CI 1.04-1.72), particularly for plan and monitor areas. CONCLUSIONS Both abdominal overweight and thinness were associated with adolescent EF, and depression would be a modifiable target to improve EF in adolescents with abdominal overweight. Future longitudinal studies are needed to investigate the causal relationship between abdominal weight spectrum and EF, as well as the underlying mechanisms among adolescents suffering from depression.
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Affiliation(s)
- Qingmin Lin
- grid.16821.3c0000 0004 0368 8293School of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240 China
| | - Yanrui Jiang
- grid.16821.3c0000 0004 0368 8293Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, 1678 Dongfang Rd., Shanghai, 200127 China ,grid.16821.3c0000 0004 0368 8293Ministry of Education-Shanghai Key Laboratory of Children’s Environmental Health, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200092 China
| | - Xiaoning Sun
- grid.16821.3c0000 0004 0368 8293Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, 1678 Dongfang Rd., Shanghai, 200127 China ,grid.16821.3c0000 0004 0368 8293Ministry of Education-Shanghai Key Laboratory of Children’s Environmental Health, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200092 China ,grid.511008.dShanghai Center for Brain Science and Brain-Inspired Technology, Shanghai, 201602 China
| | - Yunting Zhang
- grid.16821.3c0000 0004 0368 8293Child Health Advocacy Institute, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127 China
| | - Wenjie Shan
- grid.16821.3c0000 0004 0368 8293Child Health Advocacy Institute, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127 China ,grid.16821.3c0000 0004 0368 8293Department of VIP Clinic, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127 China
| | - Jin Zhao
- grid.16821.3c0000 0004 0368 8293Child Health Advocacy Institute, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127 China
| | - Xuelai Wang
- grid.16821.3c0000 0004 0368 8293Child Health Advocacy Institute, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127 China
| | - Qi Zhu
- grid.16821.3c0000 0004 0368 8293Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, 1678 Dongfang Rd., Shanghai, 200127 China ,grid.16821.3c0000 0004 0368 8293Ministry of Education-Shanghai Key Laboratory of Children’s Environmental Health, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200092 China
| | - Wanqi Sun
- grid.16821.3c0000 0004 0368 8293Shanghai Mental Health Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200030 China
| | - Hui Lu
- grid.16821.3c0000 0004 0368 8293School of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240 China
| | - Fan Jiang
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, 1678 Dongfang Rd., Shanghai, 200127, China. .,Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200092, China. .,Shanghai Center for Brain Science and Brain-Inspired Technology, Shanghai, 201602, China.
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Krikorian R, Skelton MR, Summer SS, Shidler MD, Sullivan PG. Blueberry Supplementation in Midlife for Dementia Risk Reduction. Nutrients 2022; 14:1619. [PMID: 35458181 PMCID: PMC9031005 DOI: 10.3390/nu14081619] [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] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 04/08/2022] [Accepted: 04/10/2022] [Indexed: 02/04/2023] Open
Abstract
Late-life dementia typically develops over a period of many years beginning in midlife. Prevalence of metabolic disturbance also accelerates in middle age and is a prominent risk factor for dementia. Preliminary studies indicate that blueberry supplementation can improve cognitive performance and influence metabolism and brain function and therefore may have a role in early intervention to prevent neurodegeneration. In a randomized controlled trial, we investigated the effects of daily blueberry supplementation in a middle-aged sample of insulin-resistant participants with elevated risk for future dementia. We enrolled overweight men and women, aged 50 to 65 years, with subjective cognitive decline (SCD) and performed pre- and post-intervention assessments of cognition and metabolism and exploratory measures of peripheral mitochondrial function. We observed improved performances for the blueberry group on measures of lexical access, p = 0.003, and memory interference, p = 0.04, and blueberry-treated participants reported reduced memory encoding difficulty in daily life activities, p = 0.03. The blueberry-treated group also exhibited correction of peripheral hyperinsulinemia, p = 0.04, and a modest trend for increased mitochondrial uncoupling, p = 0.11. The cognitive findings indicated improved executive ability in this middle-aged sample. In addition, the changes in metabolic and bioenergetic measures imply potential mechanistic factors associated with anthocyanin and proanthocyanidin actions. The demonstration of these benefits in middle-aged individuals with insulin resistance and SCD suggests that ongoing blueberry supplementation may contribute to protection against cognitive decline when implemented early in at-risk individuals.
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Affiliation(s)
- Robert Krikorian
- Department of Psychiatry & Behavioral Neuroscience, University of Cincinnati Academic Health Center, Cincinnati, OH 45267, USA;
| | - Matthew R. Skelton
- Division of Neurology, Cincinnati Children’s Research Foundation, Cincinnati, OH 45229, USA;
| | - Suzanne S. Summer
- Bionutrition Core, Clinical Translational Research Center, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA;
| | - Marcelle D. Shidler
- Department of Psychiatry & Behavioral Neuroscience, University of Cincinnati Academic Health Center, Cincinnati, OH 45267, USA;
| | - Patrick G. Sullivan
- Spinal Cord & Brain Injury Research Center, Chandler College of Medicine, University of Kentucky, Lexington, KY 40506, USA;
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