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Chen B, Schneeberger M. Neuro-Adipokine Crosstalk in Alzheimer's Disease. Int J Mol Sci 2024; 25:5932. [PMID: 38892118 PMCID: PMC11173274 DOI: 10.3390/ijms25115932] [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: 04/27/2024] [Revised: 05/24/2024] [Accepted: 05/27/2024] [Indexed: 06/21/2024] Open
Abstract
The connection between body weight alterations and Alzheimer's disease highlights the intricate relationship between the brain and adipose tissue in the context of neurological disorders. During midlife, weight gain increases the risk of cognitive decline and dementia, whereas in late life, weight gain becomes a protective factor. Despite their substantial impact on metabolism, the role of adipokines in the transition from healthy aging to neurological disorders remains largely unexplored. We aim to investigate how the adipose tissue milieu and the secreted adipokines are involved in the transition between biological and pathological aging, highlighting the bidirectional relationship between the brain and systemic metabolism. Understanding the function of these adipokines will allow us to identify biomarkers for early detection of Alzheimer's disease and uncover novel therapeutic options.
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Affiliation(s)
- Bandy Chen
- Laboratory of Neurovascular Control of Homeostasis, Department of Cellular and Molecular Physiology, Yale School of Medicine, New Haven, CT 06510, USA;
| | - Marc Schneeberger
- Laboratory of Neurovascular Control of Homeostasis, Department of Cellular and Molecular Physiology, Yale School of Medicine, New Haven, CT 06510, USA;
- Wu Tsai Institute for Mind and Brain, Yale University, New Haven, CT 06510, USA
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Wu Z, Owen A, Woods RL, Cribb L, Alharbi T, Zhou Z, Chong TTJ, Orchard SG, Shah RC, Wolfe R, Torres D, McNeil JJ, Sheets KM, Murray AM, Ryan J. Associations of body habitus and its changes with incident dementia in older adults. J Am Geriatr Soc 2024; 72:1023-1034. [PMID: 38243627 PMCID: PMC11018504 DOI: 10.1111/jgs.18757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 11/29/2023] [Accepted: 12/07/2023] [Indexed: 01/21/2024]
Abstract
BACKGROUND This study examined the associations of body mass index (BMI) and waist circumference (WC), as well as their short- and long-term changes over time, with incident dementia in older individuals. METHODS Data came from 18,837 community-dwelling individuals aged 65+ years from Australia and the United States, who were relatively healthy without major cognitive impairment at enrolment. Anthropometric measures were prospectively assessed at baseline, as well as change and variability from baseline to year two (three time-points). In a subgroup (n = 11,176), self-reported weight at age 18 and 70+ years was investigated. Dementia cases satisfied DSM-IV criteria. Cox regression was used to examine the associations between anthropometric measures and incident risk of dementia. RESULTS Compared to normal weight, an overweight (HR: 0.67, 95%CI: 0.57-0.79, p < 0.001) or obese BMI (HR: 0.73, 95%CI: 0.60-0.89, p = 0.002), or a larger WC (elevated, HR: 0.71, 95%CI: 0.58-0.86, p < 0.001; highly elevated, HR: 0.65, 95%CI: 0.55-0.78, p < 0.001; relative to low) at baseline was associated with lower dementia risk. In contrast, substantial increases in BMI (>5%) over 2 years after baseline were associated with higher dementia risk (HR: 1.49, 95% CI: 1.17-1.91, p = 0.001). Increased dementia risk was also seen with an underweight BMI at baseline and a 2-year BMI decrease (>5%), but these associations appeared only in the first 4 years of follow-up. Compared to normal weight at both age 18 and 70+ years, being obese at both times was associated with increased dementia risk (HR: 2.27, 95%CI: 1.22-4.24, p = 0.01), while obesity only at age 70+ years was associated with decreased risk (HR: 0.70, 95%CI: 0.51-0.95, p = 0.02). CONCLUSIONS Our findings suggest that long-term obesity and weight gain in later life may be risk factors for dementia. Being underweight or having substantial weight loss in old age may be early markers of pre-clinical dementia.
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Affiliation(s)
- Zimu Wu
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia, 3004
| | - Alice Owen
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia, 3004
| | - Robyn L. Woods
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia, 3004
| | - Lachlan Cribb
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia, 3004
| | - Tagrid Alharbi
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia, 3004
| | - Zhen Zhou
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia, 3004
| | - Trevor T.-J. Chong
- Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC, Australia, 3800
- Department of Neurology, Alfred Health, Melbourne, VIC, Australia, 3181
- Department of Clinical Neurosciences, St Vincent’s Hospital, Melbourne, VIC, Australia, 3065
| | - Suzanne G. Orchard
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia, 3004
| | - Raj C. Shah
- Department of Family & Preventive Medicine and the Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL USA 60612
| | - Rory Wolfe
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia, 3004
| | - Daniel Torres
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia, 3004
| | - John J. McNeil
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia, 3004
| | - Kerry M. Sheets
- Division of Geriatric and Palliative Medicine, Department of Medicine, Hennepin Healthcare, Minneapolis, MN, USA, 55415
| | - Anne M. Murray
- Berman Center for Outcomes and Clinical Research, Minneapolis, MN, USA, 55404
| | - Joanne Ryan
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia, 3004
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Shariati B, Hajieghrari S, Alavi K, Salehian R, Rashedi V, Saeedi V, Tajik Esmaeeli S, Kamalzadeh L. Effects of bariatric surgery on cognitive function in older adults: a prospective longitudinal study. Surg Obes Relat Dis 2023; 19:1264-1269. [PMID: 37253649 DOI: 10.1016/j.soard.2023.04.336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 03/17/2023] [Accepted: 04/23/2023] [Indexed: 06/01/2023]
Abstract
BACKGROUND Obesity is now well-recognized as an independent risk factor for cognitive decline. Although extensive research has been conducted on cognitive outcomes following bariatric surgery in young adults, very little is known about the impact of advanced age on the cognitive benefits of weight-loss procedures. OBJECTIVES This study aimed to assess cognitive function in older Iranian patients before and after bariatric surgery. SETTING University Hospital METHODS: In this prospective longitudinal study, 24 older adults were examined before and 4 months after bariatric surgery using the Digit Span Test (DGS), the computerized version of the Wisconsin Card Sorting Test-64 (WCST-64), and the paper-and-pencil versions of the Trail Making Test (TMT), parts A and B, spanning the 4 cognitive domains of attention, working memory, processing speed, and executive functioning. The bariatric surgery group was simultaneously compared to a waiting list control group. RESULTS At 4 months of follow-up, comparisons between the groups revealed that the surgical group performed significantly better than the control group on the forward DGS, WCST, and TMT parts A and B. In contrast, there was no significant difference between groups on the backward DGS. Further within-group comparisons demonstrated significant improvements from baseline in forward DGS, WCST, and TMT components A and B. Nevertheless, the same variables did not alter significantly over time in the control group. CONCLUSIONS The study suggests measurable cognitive benefits following bariatric surgery in older adults.
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Affiliation(s)
- Behnam Shariati
- Department of Psychiatry, Minimally Invasive Surgery Research Center, School of Medicine, Rasool Akram Medical Complex, Iran University of Medical Sciences (IUMS), Tehran, Iran
| | - Simin Hajieghrari
- Department of Psychiatry, Minimally Invasive Surgery Research Center, School of Medicine, Rasool Akram Medical Complex, Iran University of Medical Sciences (IUMS), Tehran, Iran
| | - Kaveh Alavi
- Department of Psychiatry, Mental Health Research Center, Psychosocial Health Research Institute, School of Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran
| | - Razieh Salehian
- Department of Psychiatry, Mental Health Research Center, Psychosocial Health Research Institute, School of Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran
| | - Vahid Rashedi
- Department of Aging, Iranian Research Center on Aging, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
| | - Vahid Saeedi
- Minimally Invasive Surgery Research Center, Pediatric Endocrinology and Metabolism Department, School of Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran
| | - Soode Tajik Esmaeeli
- Department of Psychiatry, Mental Health Research Center, Psychosocial Health Research Institute, School of Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran
| | - Leila Kamalzadeh
- Department of Psychiatry, Geriatric mental health research center, School of Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran.
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Badji A, Youwakim J, Cooper A, Westman E, Marseglia A. Vascular cognitive impairment - Past, present, and future challenges. Ageing Res Rev 2023; 90:102042. [PMID: 37634888 DOI: 10.1016/j.arr.2023.102042] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 08/22/2023] [Accepted: 08/23/2023] [Indexed: 08/29/2023]
Abstract
Vascular cognitive impairment (VCI) is a lifelong process encompassing a broad spectrum of cognitive disorders, ranging from subtle or mild deficits to prodromal and fully developed dementia, originating from cerebrovascular lesions such as large and small vessel disease. Genetic predisposition and environmental exposure to risk factors such as unhealthy lifestyles, hypertension, cardiovascular disease, and metabolic disorders will synergistically interact, yielding biochemical and structural brain changes, ultimately culminating in VCI. However, little is known about the pathological processes underlying VCI and the temporal dynamics between risk factors and disease mechanisms (biochemical and structural brain changes). This narrative review aims to provide an evidence-based summary of the link between individual vascular risk/disorders and cognitive dysfunction and the potential structural and biochemical pathophysiological processes. We also discuss some key challenges for future research on VCI. There is a need to shift from individual risk factors/disorders to comorbid vascular burden, identifying and integrating imaging and fluid biomarkers, implementing a life-course approach, considering possible neuroprotective influences of positive life exposures, and addressing biological sex at birth and gender differences. Finally, this review highlights the need for future researchers to leverage and integrate multidimensional data to advance our understanding of the mechanisms and pathophysiology of VCI.
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Affiliation(s)
- Atef Badji
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Theme Inflammation and Aging, Karolinska University Hospital, Stockholm, Sweden
| | - Jessica Youwakim
- Department of Pharmacology and Physiology, Université de Montréal, Montreal, QC, Canada; Centre interdisciplinaire de recherche sur le cerveau et l'apprentissage (CIRCA), Montreal, QC, Canada; Groupe de Recherche sur la Signalisation Neuronal et la Circuiterie (SNC), Montreal, QC, Canada
| | - Alexandra Cooper
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Unit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Eric Westman
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Anna Marseglia
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
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