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Lemche E, Killick R, Mitchell J, Caton PW, Choudhary P, Howard JK. Molecular mechanisms linking type 2 diabetes mellitus and late-onset Alzheimer's disease: A systematic review and qualitative meta-analysis. Neurobiol Dis 2024; 196:106485. [PMID: 38643861 DOI: 10.1016/j.nbd.2024.106485] [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: 06/30/2023] [Revised: 03/18/2024] [Accepted: 03/23/2024] [Indexed: 04/23/2024] Open
Abstract
Research evidence indicating common metabolic mechanisms through which type 2 diabetes mellitus (T2DM) increases risk of late-onset Alzheimer's dementia (LOAD) has accumulated over recent decades. The aim of this systematic review is to provide a comprehensive review of common mechanisms, which have hitherto been discussed in separate perspectives, and to assemble and evaluate candidate loci and epigenetic modifications contributing to polygenic risk linkages between T2DM and LOAD. For the systematic review on pathophysiological mechanisms, both human and animal studies up to December 2023 are included. For the qualitative meta-analysis of genomic bases, human association studies were examined; for epigenetic mechanisms, data from human studies and animal models were accepted. Papers describing pathophysiological studies were identified in databases, and further literature gathered from cited work. For genomic and epigenomic studies, literature mining was conducted by formalised search codes using Boolean operators in search engines, and augmented by GeneRif citations in Entrez Gene, and other sources (WikiGenes, etc.). For the systematic review of pathophysiological mechanisms, 923 publications were evaluated, and 138 gene loci extracted for testing candidate risk linkages. 3 57 publications were evaluated for genomic association and descriptions of epigenomic modifications. Overall accumulated results highlight insulin signalling, inflammation and inflammasome pathways, proteolysis, gluconeogenesis and glycolysis, glycosylation, lipoprotein metabolism and oxidation, cell cycle regulation or survival, autophagic-lysosomal pathways, and energy. Documented findings suggest interplay between brain insulin resistance, neuroinflammation, insult compensatory mechanisms, and peripheral metabolic dysregulation in T2DM and LOAD linkage. The results allow for more streamlined longitudinal studies of T2DM-LOAD risk linkages.
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Affiliation(s)
- Erwin Lemche
- Section of Cognitive Neuropsychiatry and Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, United Kingdom.
| | - Richard Killick
- Section of Old Age Psychiatry, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, United Kingdom
| | - Jackie Mitchell
- Department of Basic and Clinical Neurosciences, Maurice Wohl CIinical Neurosciences Institute, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 125 Coldharbour Lane, London SE5 9NU, United Kingdom
| | - Paul W Caton
- Diabetes Research Group, School of Life Course Sciences, King's College London, Hodgkin Building, Guy's Campus, London SE1 1UL, United Kingdom
| | - Pratik Choudhary
- Diabetes Research Group, Weston Education Centre, King's College London, 10 Cutcombe Road, London SE5 9RJ, United Kingdom
| | - Jane K Howard
- School of Cardiovascular and Metabolic Medicine & Sciences, Hodgkin Building, Guy's Campus, King's College London, Great Maze Pond, London SE1 1UL, United Kingdom
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Lesman-Segev OH, Golan Shekhtman S, Springer RR, Livny A, Lin HM, Yuxia O, Zadok M, Ganmore I, Heymann A, Hoffmann C, Domachevsky L, Schnaider Beeri M. Amyloid deposition and small vessel disease are associated with cognitive function in older adults with type 2 diabetes. Sci Rep 2024; 14:2741. [PMID: 38302529 PMCID: PMC10834442 DOI: 10.1038/s41598-024-53043-x] [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: 09/20/2023] [Accepted: 01/27/2024] [Indexed: 02/03/2024] Open
Abstract
Diabetes is associated with cognitive decline, but the underlying mechanisms are complex and their relationship with Alzheimer's Disease biomarkers is not fully understood. We assessed the association of small vessel disease (SVD) and amyloid burden with cognitive functioning in 47 non-demented older adults with type-2 diabetes from the Israel Diabetes and Cognitive Decline Study (mean age 78Y, 64% females). FLAIR-MRI, Vizamyl amyloid-PET, and T1W-MRI quantified white matter hyperintensities as a measure of SVD, amyloid burden, and gray matter (GM) volume, respectively. Mean hemoglobin A1c levels and duration of type-2 diabetes were used as measures of diabetic control. Cholesterol level and blood pressure were used as measures of cardiovascular risk. A broad neuropsychological battery assessed cognition. Linear regression models revealed that both higher SVD and amyloid burden were associated with lower cognitive functioning. Additional adjustments for type-2 diabetes-related characteristics, GM volume, and cardiovascular risk did not alter the results. The association of amyloid with cognition remained unchanged after further adjustment for SVD, and the association of SVD with cognition remained unchanged after further adjustment for amyloid burden. Our findings suggest that SVD and amyloid pathology may independently contribute to lower cognitive functioning in non-demented older adults with type-2 diabetes, supporting a multimodal approach for diagnosing, preventing, and treating cognitive decline in this population.
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Affiliation(s)
- Orit H Lesman-Segev
- Department of Diagnostic Imaging, Sheba Medical Center, Tel Hashomer, Israel.
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel Hashomer, Israel.
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
| | - Sapir Golan Shekhtman
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel Hashomer, Israel
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Ramit Ravona Springer
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel Hashomer, Israel
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Memory Clinic, Sheba Medical Center, Tel Hashomer, Israel
| | - Abigail Livny
- Department of Diagnostic Imaging, Sheba Medical Center, Tel Hashomer, Israel
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel Hashomer, Israel
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Hung-Mo Lin
- Department of Population Health Science and Policy, The Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ouyang Yuxia
- Department of Population Health Science and Policy, The Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Maya Zadok
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel Hashomer, Israel
| | - Ithamar Ganmore
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel Hashomer, Israel
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Memory Clinic, Sheba Medical Center, Tel Hashomer, Israel
| | - Anthony Heymann
- Maccabi Healthcare Services, Tel Aviv, Israel
- Department of Family Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Chen Hoffmann
- Department of Diagnostic Imaging, Sheba Medical Center, Tel Hashomer, Israel
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Liran Domachevsky
- Department of Diagnostic Imaging, Sheba Medical Center, Tel Hashomer, Israel
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Michal Schnaider Beeri
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel Hashomer, Israel
- Department of Psychiatry, The Icahn School of Medicine at Mount Sinai, New York, NY, USA
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Lesman-Segev OH, Golan S, Springer RR, Livny A, Lin HM, Yuxia O, Zadok M, Ganmore I, Heymann A, Hoffmann C, Domachevsky L, Beeri MS. Amyloid deposition and small vessel disease are associated with cognitive function in older adults with type 2 diabetes. RESEARCH SQUARE 2023:rs.3.rs-3373943. [PMID: 37841857 PMCID: PMC10571611 DOI: 10.21203/rs.3.rs-3373943/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/17/2023]
Abstract
Diabetes is associated with cognitive decline, but the underlying mechanisms are complex and their relationship with Alzheimer's Disease biomarkers is not fully understood. We assessed the association of small vessel disease (SVD) and amyloid burden with cognitive functioning in 47 non-demented older adults with type-2 diabetes from the Israel Diabetes and Cognitive Decline Study (mean age 78Y, 64% females). FLAIR-MRI, Vizamyl amyloid-PET, and T1W-MRI quantified white matter hyperintensities as a measure of SVD, amyloid burden, and gray matter (GM) volume, respectively. Mean hemoglobin A1c levels and duration of type-2 diabetes were used as measures of diabetic control. Cholesterol level and blood pressure were used as measures of cardiovascular risk. A broad neuropsychological battery assessed cognition. Linear regression models revealed that both higher SVD and amyloid burden were associated with lower cognitive functioning. Additional adjustments for type-2 diabetes-related characteristics, GM volume, and cardiovascular risk did not alter the results. The association of amyloid with cognition remained unchanged after further adjustment for SVD. Our findings suggest that SVD and amyloid pathology may independently contribute to lower cognitive functioning in non-demented older adults with type-2 diabetes, supporting a multimodal approach for diagnosing, preventing, and treating cognitive decline in this population.
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Kobiec T, Mardaraz C, Toro-Urrego N, Kölliker-Frers R, Capani F, Otero-Losada M. Neuroprotection in metabolic syndrome by environmental enrichment. A lifespan perspective. Front Neurosci 2023; 17:1214468. [PMID: 37638319 PMCID: PMC10447983 DOI: 10.3389/fnins.2023.1214468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Accepted: 07/17/2023] [Indexed: 08/29/2023] Open
Abstract
Metabolic syndrome (MetS) is defined by the concurrence of different metabolic conditions: obesity, hypertension, dyslipidemia, and hyperglycemia. Its incidence has been increasingly rising over the past decades and has become a global health problem. MetS has deleterious consequences on the central nervous system (CNS) and neurological development. MetS can last several years or be lifelong, affecting the CNS in different ways and treatments can help manage condition, though there is no known cure. The early childhood years are extremely important in neurodevelopment, which extends beyond, encompassing a lifetime. Neuroplastic changes take place all life through - childhood, adolescence, adulthood, and old age - are highly sensitive to environmental input. Environmental factors have an important role in the etiopathogenesis and treatment of MetS, so environmental enrichment (EE) stands as a promising non-invasive therapeutic approach. While the EE paradigm has been designed for animal housing, its principles can be and actually are applied in cognitive, sensory, social, and physical stimulation programs for humans. Here, we briefly review the central milestones in neurodevelopment at each life stage, along with the research studies carried out on how MetS affects neurodevelopment at each life stage and the contributions that EE models can provide to improve health over the lifespan.
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Affiliation(s)
- Tamara Kobiec
- Facultad de Psicología, Centro de Investigaciones en Psicología y Psicopedagogía, Pontificia Universidad Católica Argentina, Buenos Aires, Argentina
- Centro de Altos Estudios en Ciencias Humanas y de la Salud, Universidad Abierta Interamericana, Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina
| | - Claudia Mardaraz
- Centro de Altos Estudios en Ciencias Humanas y de la Salud, Universidad Abierta Interamericana, Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina
| | - Nicolás Toro-Urrego
- Centro de Altos Estudios en Ciencias Humanas y de la Salud, Universidad Abierta Interamericana, Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina
| | - Rodolfo Kölliker-Frers
- Centro de Altos Estudios en Ciencias Humanas y de la Salud, Universidad Abierta Interamericana, Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina
| | - Francisco Capani
- Centro de Altos Estudios en Ciencias Humanas y de la Salud, Universidad Abierta Interamericana, Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina
- Facultad de Ciencias de la Salud, Instituto de Ciencias Biomédicas, Universidad Autónoma de Chile, Santiago, Chile
| | - Matilde Otero-Losada
- Centro de Altos Estudios en Ciencias Humanas y de la Salud, Universidad Abierta Interamericana, Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina
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Phongpreecha T, Cholerton B, Bhukari S, Chang AL, De Francesco D, Thuraiappah M, Godrich D, Perna A, Becker MG, Ravindra NG, Espinosa C, Kim Y, Berson E, Mataraso S, Sha SJ, Fox EJ, Montine KS, Baker LD, Craft S, White L, Poston KL, Beecham G, Aghaeepour N, Montine TJ. Prediction of neuropathologic lesions from clinical data. Alzheimers Dement 2023; 19:3005-3018. [PMID: 36681388 PMCID: PMC10359434 DOI: 10.1002/alz.12921] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 11/15/2022] [Accepted: 12/12/2022] [Indexed: 01/23/2023]
Abstract
INTRODUCTION Post-mortem analysis provides definitive diagnoses of neurodegenerative diseases; however, only a few can be diagnosed during life. METHODS This study employed statistical tools and machine learning to predict 17 neuropathologic lesions from a cohort of 6518 individuals using 381 clinical features (Table S1). The multisite data allowed validation of the model's robustness by splitting train/test sets by clinical sites. A similar study was performed for predicting Alzheimer's disease (AD) neuropathologic change without specific comorbidities. RESULTS Prediction results show high performance for certain lesions that match or exceed that of research annotation. Neurodegenerative comorbidities in addition to AD neuropathologic change resulted in compounded, but disproportionate, effects across cognitive domains as the comorbidity number increased. DISCUSSION Certain clinical features could be strongly associated with multiple neurodegenerative diseases, others were lesion-specific, and some were divergent between lesions. Our approach could benefit clinical research, and genetic and biomarker research by enriching cohorts for desired lesions.
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Affiliation(s)
- Thanaphong Phongpreecha
- Department of Pathology, Stanford University 300 Pasteur Drive Medicine Lane Building L235 Stanford, CA 94305 USA
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University 300 Pasteur Drive, Room H3580 MC 5640 Stanford, CA 94305 USA
- Department of Biomedical Data Science, Stanford University 1265 Welch Road MC5464 MSOB West Wing, Third Floor Stanford, CA 94305 USA
| | - Brenna Cholerton
- Department of Pathology, Stanford University 300 Pasteur Drive Medicine Lane Building L235 Stanford, CA 94305 USA
| | - Syed Bhukari
- Department of Pathology, Stanford University 300 Pasteur Drive Medicine Lane Building L235 Stanford, CA 94305 USA
| | - Alan L. Chang
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University 300 Pasteur Drive, Room H3580 MC 5640 Stanford, CA 94305 USA
- Department of Biomedical Data Science, Stanford University 1265 Welch Road MC5464 MSOB West Wing, Third Floor Stanford, CA 94305 USA
- Department of Pediatrics, Stanford University 453 Quarry Road MC 5660 Palo Alto, CA 94304 USA
| | - Davide De Francesco
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University 300 Pasteur Drive, Room H3580 MC 5640 Stanford, CA 94305 USA
- Department of Biomedical Data Science, Stanford University 1265 Welch Road MC5464 MSOB West Wing, Third Floor Stanford, CA 94305 USA
- Department of Pediatrics, Stanford University 453 Quarry Road MC 5660 Palo Alto, CA 94304 USA
| | - Melan Thuraiappah
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University 300 Pasteur Drive, Room H3580 MC 5640 Stanford, CA 94305 USA
- Department of Biomedical Data Science, Stanford University 1265 Welch Road MC5464 MSOB West Wing, Third Floor Stanford, CA 94305 USA
- Department of Pediatrics, Stanford University 453 Quarry Road MC 5660 Palo Alto, CA 94304 USA
| | - Dana Godrich
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami 1501 NW 10 Ave, Miami, Florida 33136 USA
| | - Amalia Perna
- Department of Pathology, Stanford University 300 Pasteur Drive Medicine Lane Building L235 Stanford, CA 94305 USA
| | - Martin G. Becker
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University 300 Pasteur Drive, Room H3580 MC 5640 Stanford, CA 94305 USA
- Department of Biomedical Data Science, Stanford University 1265 Welch Road MC5464 MSOB West Wing, Third Floor Stanford, CA 94305 USA
- Department of Pediatrics, Stanford University 453 Quarry Road MC 5660 Palo Alto, CA 94304 USA
| | - Neal G. Ravindra
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University 300 Pasteur Drive, Room H3580 MC 5640 Stanford, CA 94305 USA
- Department of Biomedical Data Science, Stanford University 1265 Welch Road MC5464 MSOB West Wing, Third Floor Stanford, CA 94305 USA
- Department of Pediatrics, Stanford University 453 Quarry Road MC 5660 Palo Alto, CA 94304 USA
| | - Camilo Espinosa
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University 300 Pasteur Drive, Room H3580 MC 5640 Stanford, CA 94305 USA
- Department of Biomedical Data Science, Stanford University 1265 Welch Road MC5464 MSOB West Wing, Third Floor Stanford, CA 94305 USA
- Department of Pediatrics, Stanford University 453 Quarry Road MC 5660 Palo Alto, CA 94304 USA
| | - Yeasul Kim
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University 300 Pasteur Drive, Room H3580 MC 5640 Stanford, CA 94305 USA
- Department of Biomedical Data Science, Stanford University 1265 Welch Road MC5464 MSOB West Wing, Third Floor Stanford, CA 94305 USA
- Department of Pediatrics, Stanford University 453 Quarry Road MC 5660 Palo Alto, CA 94304 USA
| | - Eloise Berson
- Department of Pathology, Stanford University 300 Pasteur Drive Medicine Lane Building L235 Stanford, CA 94305 USA
- Department of Biomedical Data Science, Stanford University 1265 Welch Road MC5464 MSOB West Wing, Third Floor Stanford, CA 94305 USA
- Department of Pediatrics, Stanford University 453 Quarry Road MC 5660 Palo Alto, CA 94304 USA
| | - Samson Mataraso
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University 300 Pasteur Drive, Room H3580 MC 5640 Stanford, CA 94305 USA
- Department of Biomedical Data Science, Stanford University 1265 Welch Road MC5464 MSOB West Wing, Third Floor Stanford, CA 94305 USA
- Department of Pediatrics, Stanford University 453 Quarry Road MC 5660 Palo Alto, CA 94304 USA
| | - Sharon J. Sha
- Department of Neurology & Neurological Sciences, Stanford University 213 Quarry Road, MC 5979 Palo Alto, CA 94304 USA
| | - Edward J. Fox
- Department of Pathology, Stanford University 300 Pasteur Drive Medicine Lane Building L235 Stanford, CA 94305 USA
| | - Kathleen S. Montine
- Department of Pathology, Stanford University 300 Pasteur Drive Medicine Lane Building L235 Stanford, CA 94305 USA
| | - Laura D. Baker
- Department of Gerontology and Geriatric Medicine, Wake Forest University School of Medicine 475 Vine Street, Winston-Salem, NC 27101 USA
| | - Suzanne Craft
- Department of Gerontology and Geriatric Medicine, Wake Forest University School of Medicine 475 Vine Street, Winston-Salem, NC 27101 USA
| | - Lon White
- Pacific Health Research and Education Institute, Hawaii 3375 Koapaka Street, I-540, Honolulu, HI 96819 USA
| | - Kathleen L. Poston
- Department of Neurology & Neurological Sciences, Stanford University 213 Quarry Road, MC 5979 Palo Alto, CA 94304 USA
| | - Gary Beecham
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami 1501 NW 10 Ave, Miami, Florida 33136 USA
| | - Nima Aghaeepour
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University 300 Pasteur Drive, Room H3580 MC 5640 Stanford, CA 94305 USA
- Department of Biomedical Data Science, Stanford University 1265 Welch Road MC5464 MSOB West Wing, Third Floor Stanford, CA 94305 USA
- Department of Pediatrics, Stanford University 453 Quarry Road MC 5660 Palo Alto, CA 94304 USA
| | - Thomas J. Montine
- Department of Pathology, Stanford University 300 Pasteur Drive Medicine Lane Building L235 Stanford, CA 94305 USA
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Ab-Hamid N, Omar N, Ismail CAN, Long I. Diabetes and cognitive decline: Challenges and future direction. World J Diabetes 2023; 14:795-807. [PMID: 37383592 PMCID: PMC10294066 DOI: 10.4239/wjd.v14.i6.795] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/25/2022] [Revised: 02/07/2023] [Accepted: 05/06/2023] [Indexed: 06/14/2023] Open
Abstract
There is growing evidence that diabetes can induce cognitive decline and dementia. It is a slow, progressive cognitive decline that can occur in any age group, but is seen more frequently in older individuals. Symptoms related to cognitive decline are worsened by chronic metabolic syndrome. Animal models are frequently utilized to elucidate the mechanisms of cognitive decline in diabetes and to assess potential drugs for therapy and prevention. This review addresses the common factors and pathophysiology involved in diabetes-related cognitive decline and outlines the various animal models used to study this condition.
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Affiliation(s)
- Norhamidar Ab-Hamid
- Biomedicine program, School of Health Sciences, Health Campus, Universiti Sains Malaysia, Kubang Kerian, Kota Bharu 16150, Kelantan, Malaysia
| | - Norsuhana Omar
- Department of Physiology, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, Kubang Kerian, Kota Bharu 16150, Kelantan, Malaysia
| | - Che Aishah Nazariah Ismail
- Department of Physiology, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, Kubang Kerian, Kota Bharu 16150, Kelantan, Malaysia
| | - Idris Long
- Biomedicine program, School of Health Sciences, Health Campus, Universiti Sains Malaysia, Kubang Kerian, Kota Bharu 16150, Kelantan, Malaysia
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Hwangbo S, Kim YJ, Park YH, Kim HJ, Na DL, Jang H, Seo SW. Relationships between educational attainment, hypertension, and amyloid negative subcortical vascular dementia: The brain-battering hypothesis. Front Neurosci 2022; 16:934149. [PMID: 35992915 PMCID: PMC9388911 DOI: 10.3389/fnins.2022.934149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 07/08/2022] [Indexed: 11/20/2022] Open
Abstract
Purpose Many epidemiological studies suggest that lower education levels and vascular risk factors increase the likelihood of developing Alzheimer's disease dementia (ADD) and subcortical vascular dementia (SVaD). However, whether the brain-battering hypothesis can explain the relationship between education levels and the clinical diagnosis of dementia remains controversial. The objective of this study was to investigate whether vascular risk factors mediate the association between education level and the diagnosis of amyloid-beta positive (Aβ+) ADD and amyloid-beta negative (Aβ-) SVaD. Methods We analyzed 376 participants with Aβ normal cognition (Aβ- NC), 481 with Aβ+ ADD, and 102 with Aβ- SVaD. To investigate the association of education level and vascular risk factors with these diagnoses, multivariable logistic regression analysis was used, with age, sex, and APOE ε4 carrier status used as covariates. Path analysis was performed to investigate the mediation effects of hypertension on the diagnosis of Aβ- SVaD. Results The Aβ- SVaD group (7.9 ± 5.1 years) had lower education levels than did the Aβ- NC (11.8 ± 4.8 years) and Aβ+ ADD (11.2 ± 4.9 years) groups. The frequencies of hypertension and diabetes mellitus were higher in the Aβ- SVaD group (78.4 and 32.4%, respectively) than in the Aβ- NC (44.4 and 20.8%) and Aβ+ ADD (41.8 and 15.8%, respectively) groups. Increased education level was associated with a lower risk of Aβ- SVaD [odds ratio (OR) 0.866, 95% confidence interval (CI), 0.824–0.911], but not Aβ+ ADD (OR 0.971, 95% CI 0.940–1.003). The frequency of hypertension was associated with a higher risk of developing Aβ- SVaD (OR 3.373, 95% CI, 1.908–5.961), but not Aβ+ ADD (OR 0.884, 95% CI, 0.653–1.196). In the path analysis, the presence of hypertension partially mediated the association between education level and the diagnosis of Aβ- SVaD. Conclusion Our findings revealed that education level might influence the development of Aβ- SVaD through the brain-battering hypothesis. Furthermore, our findings suggest that suitable strategies, such as educational attainment and prevention of hypertension, are needed for the prevention of Aβ- SVaD.
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Affiliation(s)
- Song Hwangbo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Neuroscience Center, Samsung Medical Center, Seoul, South Korea
| | - Young Ju Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Neuroscience Center, Samsung Medical Center, Seoul, South Korea
| | - Yu Hyun Park
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Seoul, South Korea
| | - Hee Jin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Neuroscience Center, Samsung Medical Center, Seoul, South Korea
| | - Duk L. Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Neuroscience Center, Samsung Medical Center, Seoul, South Korea
- Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Seoul, South Korea
- Stem Cell and Regenerative Medicine Institute, Samsung Medical Center, Seoul, South Korea
| | - Hyemin Jang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Neuroscience Center, Samsung Medical Center, Seoul, South Korea
- Samsung Alzheimer Convergence Research Center, Samsung Medical Center, Seoul, South Korea
- *Correspondence: Hyemin Jang
| | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Neuroscience Center, Samsung Medical Center, Seoul, South Korea
- Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Seoul, South Korea
- Samsung Alzheimer Convergence Research Center, Samsung Medical Center, Seoul, South Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University School of Medicine, Suwon, South Korea
- Sang Won Seo ;
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Regulation of Neuroinflammatory Signaling by PPARγ Agonist in Mouse Model of Diabetes. Int J Mol Sci 2022; 23:ijms23105502. [PMID: 35628311 PMCID: PMC9141386 DOI: 10.3390/ijms23105502] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 05/09/2022] [Accepted: 05/11/2022] [Indexed: 02/01/2023] Open
Abstract
Many relevant studies, as well as clinical practice, confirm that untreated diabetes predisposes the development of neuroinflammation and cognitive impairment. Having regard for the fact that PPARγ are widely distributed in the brain and PPARγ ligands may regulate the inflammatory process, the anti-inflammatory potential of the PPARγ agonist, pioglitazone, was assessed in a mouse model of neuroinflammation related with diabetes. In this regard, the biochemical and molecular indicators of neuroinflammation were determined in the hippocampus and prefrontal cortex of diabetes mice. The levels of cytokines (IL-1β, IL-6, and TNF) and the expression of genes (Tnfrsf1a and Cav1) were measured. In addition, behavioral tests such as the open field test, the hole-board test, and the novel object recognition test were conducted. A 14-day treatment with pioglitazone significantly decreased IL-6 and TNFα levels in the prefrontal cortex and led to the downregulation of Tnfrsf1a expression and the upregulation of Cav1 expression in both brain regions of diabetic mice. Pioglitazone, by targeting neuroinflammatory signaling, improved memory and exploratory activity in behavioral tests. The present study provided a potential theoretical basis and therapeutic target for the treatment of neuroinflammation associated with diabetes. Pioglitazone may provide a promising therapeutic strategy in diabetes patients with muffled of behavioral activity.
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Localization of Thioredoxin-Interacting Protein in Aging and Alzheimer’s Disease Brains. NEUROSCI 2022. [DOI: 10.3390/neurosci3020013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Thioredoxin-Interacting Protein (TXNIP) has been shown to have significant pathogenic roles in many human diseases, particularly those associated with diabetes and hyperglycemia. Its main mode of action is to sequester thioredoxins, resulting in enhanced oxidative stress. The aim of this study was to identify if cellular expression of TXNIP in human aged and Alzheimer’s disease (AD) brains correlated with pathological structures. This study employed fixed tissue sections and protein extracts of temporal cortex from AD and aged control brains. Studies employed light and fluorescent immunohistochemical techniques using the monoclonal antibody JY2 to TXNIP to identify cellular structures. Immunoblots were used to quantify relative amounts of TXNIP in brain protein extracts. The major finding was the identification of TXNIP immunoreactivity in selective neuronal populations and structures, particularly in non-AD brains. In AD brains, less neuronal TXNIP but increased numbers of TXNIP-positive plaque-associated microglia were observed. Immunoblot analyses showed no significant increase in levels of TXNIP protein in the AD samples tested. In conclusion, this study identified altered patterns of expression of TXNIP in human brains with progression of AD pathology.
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10
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Hadley G, Zhang J, Harris-Skillman E, Alexopoulou Z, DeLuca GC, Pendlebury ST. Cognitive decline and diabetes: a systematic review of the neuropathological correlates accounting for cognition at death. J Neurol Neurosurg Psychiatry 2022; 93:246-253. [PMID: 35086942 DOI: 10.1136/jnnp-2021-328158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 11/24/2021] [Indexed: 11/04/2022]
Abstract
Given conflicting findings in epidemiologic studies, we determined the relative contributions of different neuropathologies to the excess risk of cognitive decline in diabetes mellitus (DM) through a systematic review of the literature. Included studies compared subjects with and without DM and reported neuropathological outcomes accounting for cognition at death. Data on Alzheimer's disease (AD) pathology, cerebrovascular disease and non-vascular, non-AD pathology were extracted from each study. Eleven studies (n=6 prospective cohorts, n=5 retrospective post-mortem series, total n=6330) met inclusion criteria. All 11 studies quantified AD changes and 10/11 measured cerebrovascular disease: macroscopic lesions (n=9), microinfarcts (n=8), cerebral amyloid angiopathy (CAA, n=7), lacunes (n=6), white matter disease (n=5), haemorrhages (n=4), microbleeds (n=1), hippocampal microvasculature (n=1). Other pathology was infrequently examined. No study reported increased AD pathology in DM, three studies showed a decrease (n=872) and four (n= 4018) showed no difference, after adjustment for cognition at death. No study reported reduced cerebrovascular pathology in DM. Three studies (n=2345) reported an increase in large infarcts, lacunes and microinfarcts. One study found lower cognitive scores in DM compared to non-DM subjects despite similar cerebrovascular and AD-pathology load suggesting contributions from other neuropathological processes. In conclusion, lack of an association between DM and AD-related neuropathology was consistent across studies, irrespective of methodology. In contrast to AD, DM was associated with increased large and small vessel disease. Data on other pathologies such as non-AD neurodegeneration, and blood-brain-barrier breakdown were lacking. Further studies evaluating relative contributions of different neuropathologies to the excess risk of DM are needed.
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Affiliation(s)
- Gina Hadley
- Departments of General (internal) Medicine and Geratology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.,Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Jiali Zhang
- St Anne's College, University of Oxford, Oxford, UK
| | - Eva Harris-Skillman
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | | | - Gabriele C DeLuca
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.,NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK
| | - Sarah T Pendlebury
- Departments of General (internal) Medicine and Geratology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK .,NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK.,Wolfson Centre for Prevention of Stroke and Dementia, Wolfson Building, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
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11
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Pignalosa FC, Desiderio A, Mirra P, Nigro C, Perruolo G, Ulianich L, Formisano P, Beguinot F, Miele C, Napoli R, Fiory F. Diabetes and Cognitive Impairment: A Role for Glucotoxicity and Dopaminergic Dysfunction. Int J Mol Sci 2021; 22:ijms222212366. [PMID: 34830246 PMCID: PMC8619146 DOI: 10.3390/ijms222212366] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 11/09/2021] [Accepted: 11/13/2021] [Indexed: 12/13/2022] Open
Abstract
Diabetes mellitus (DM) is a chronic metabolic disorder characterized by hyperglycemia, responsible for the onset of several long-term complications. Recent evidence suggests that cognitive dysfunction represents an emerging complication of DM, but the underlying molecular mechanisms are still obscure. Dopamine (DA), a neurotransmitter essentially known for its relevance in the regulation of behavior and movement, modulates cognitive function, too. Interestingly, alterations of the dopaminergic system have been observed in DM. This review aims to offer a comprehensive overview of the most relevant experimental results assessing DA’s role in cognitive function, highlighting the presence of dopaminergic dysfunction in DM and supporting a role for glucotoxicity in DM-associated dopaminergic dysfunction and cognitive impairment. Several studies confirm a role for DA in cognition both in animal models and in humans. Similarly, significant alterations of the dopaminergic system have been observed in animal models of experimental diabetes and in diabetic patients, too. Evidence is accumulating that advanced glycation end products (AGEs) and their precursor methylglyoxal (MGO) are associated with cognitive impairment and alterations of the dopaminergic system. Further research is needed to clarify the molecular mechanisms linking DM-associated dopaminergic dysfunction and cognitive impairment and to assess the deleterious impact of glucotoxicity.
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Affiliation(s)
- Francesca Chiara Pignalosa
- Department of Translational Medical Sciences, University of Naples Federico II, 80131 Naples, Italy; (F.C.P.); (A.D.); (P.M.); (C.N.); (G.P.); (L.U.); (P.F.); (F.B.); (R.N.); (F.F.)
- URT “Genomic of Diabetes”, Institute of Experimental Endocrinology and Oncology, National Research Council, 80131 Naples, Italy
| | - Antonella Desiderio
- Department of Translational Medical Sciences, University of Naples Federico II, 80131 Naples, Italy; (F.C.P.); (A.D.); (P.M.); (C.N.); (G.P.); (L.U.); (P.F.); (F.B.); (R.N.); (F.F.)
- URT “Genomic of Diabetes”, Institute of Experimental Endocrinology and Oncology, National Research Council, 80131 Naples, Italy
| | - Paola Mirra
- Department of Translational Medical Sciences, University of Naples Federico II, 80131 Naples, Italy; (F.C.P.); (A.D.); (P.M.); (C.N.); (G.P.); (L.U.); (P.F.); (F.B.); (R.N.); (F.F.)
- URT “Genomic of Diabetes”, Institute of Experimental Endocrinology and Oncology, National Research Council, 80131 Naples, Italy
| | - Cecilia Nigro
- Department of Translational Medical Sciences, University of Naples Federico II, 80131 Naples, Italy; (F.C.P.); (A.D.); (P.M.); (C.N.); (G.P.); (L.U.); (P.F.); (F.B.); (R.N.); (F.F.)
- URT “Genomic of Diabetes”, Institute of Experimental Endocrinology and Oncology, National Research Council, 80131 Naples, Italy
| | - Giuseppe Perruolo
- Department of Translational Medical Sciences, University of Naples Federico II, 80131 Naples, Italy; (F.C.P.); (A.D.); (P.M.); (C.N.); (G.P.); (L.U.); (P.F.); (F.B.); (R.N.); (F.F.)
- URT “Genomic of Diabetes”, Institute of Experimental Endocrinology and Oncology, National Research Council, 80131 Naples, Italy
| | - Luca Ulianich
- Department of Translational Medical Sciences, University of Naples Federico II, 80131 Naples, Italy; (F.C.P.); (A.D.); (P.M.); (C.N.); (G.P.); (L.U.); (P.F.); (F.B.); (R.N.); (F.F.)
- URT “Genomic of Diabetes”, Institute of Experimental Endocrinology and Oncology, National Research Council, 80131 Naples, Italy
| | - Pietro Formisano
- Department of Translational Medical Sciences, University of Naples Federico II, 80131 Naples, Italy; (F.C.P.); (A.D.); (P.M.); (C.N.); (G.P.); (L.U.); (P.F.); (F.B.); (R.N.); (F.F.)
- URT “Genomic of Diabetes”, Institute of Experimental Endocrinology and Oncology, National Research Council, 80131 Naples, Italy
| | - Francesco Beguinot
- Department of Translational Medical Sciences, University of Naples Federico II, 80131 Naples, Italy; (F.C.P.); (A.D.); (P.M.); (C.N.); (G.P.); (L.U.); (P.F.); (F.B.); (R.N.); (F.F.)
- URT “Genomic of Diabetes”, Institute of Experimental Endocrinology and Oncology, National Research Council, 80131 Naples, Italy
| | - Claudia Miele
- Department of Translational Medical Sciences, University of Naples Federico II, 80131 Naples, Italy; (F.C.P.); (A.D.); (P.M.); (C.N.); (G.P.); (L.U.); (P.F.); (F.B.); (R.N.); (F.F.)
- URT “Genomic of Diabetes”, Institute of Experimental Endocrinology and Oncology, National Research Council, 80131 Naples, Italy
- Correspondence: ; Tel.: +39-081-746-3248
| | - Raffaele Napoli
- Department of Translational Medical Sciences, University of Naples Federico II, 80131 Naples, Italy; (F.C.P.); (A.D.); (P.M.); (C.N.); (G.P.); (L.U.); (P.F.); (F.B.); (R.N.); (F.F.)
| | - Francesca Fiory
- Department of Translational Medical Sciences, University of Naples Federico II, 80131 Naples, Italy; (F.C.P.); (A.D.); (P.M.); (C.N.); (G.P.); (L.U.); (P.F.); (F.B.); (R.N.); (F.F.)
- URT “Genomic of Diabetes”, Institute of Experimental Endocrinology and Oncology, National Research Council, 80131 Naples, Italy
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12
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Sadrolashrafi K, Craft S, Decourt B, Adem A, Wilson JR, Miller J, Sabbagh MN. Is diabetes associated with increased pathological burden in Alzheimer's disease? ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2021; 13:e12248. [PMID: 34796262 PMCID: PMC8579894 DOI: 10.1002/dad2.12248] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 08/04/2021] [Accepted: 08/31/2021] [Indexed: 12/17/2022]
Abstract
INTRODUCTION We examined the association between Alzheimer's disease (AD) and type 2 diabetes mellitus (DM) and hypothesized that diabetes is associated with an increased pathological burden in clinically and pathologically diagnosed AD. METHODS All data were obtained from the Uniform Data Set (UDS) v3, the Neuropathology Data Set, and the Researcher's Data Dictionary-Genetic Data from the National Alzheimer's Coordinating Center. The dataset (37 cases with diabetes and 1158 cases without) relies on autopsy-confirmed data in clinically diagnosed AD patients who were assessed for diabetes type in form A5 or D2 during at least one visit. Differences in scores were explored using a general linear model. Effect sizes were calculated using sample means and standard deviations (Cohen's d). RESULTS The presence of diabetes was associated with a lower Thal phase of amyloid plaques (A score; 4.6 ± 0.79 vs. 4.3 ± 0.85, P < .05) and lower Braak stage for neurofibrillary degeneration (B score; 5.58 ± 0.72 vs. 5.16 ± 0.96, P < 0.05) but not for density of neocortical neuritic plaques (CERAD score-C score). The National Institute on Aging-Alzheimer's Association Alzheimer's disease neuropathologic change (ABC score) was not different between AD+DM and AD-DM. DISCUSSION This pilot study found a significantly lower Thal phase of amyloid plaques and Braak stage for neurofibrillary degeneration in AD-confirmed individuals with diabetes compared to those without. Thus type 2 DM is not associated with increased AD pathology in clinically and pathologically confirmed cases of AD.
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Affiliation(s)
- Kaviyon Sadrolashrafi
- Cleveland Clinic Lou Ruvo Center for Brain HealthLas VegasNevadaUSA
- Kirk Kerkorian School of Medicineat University of Nevada, Las VegasLas VegasNevadaUSA
| | - Suzanne Craft
- Wake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Boris Decourt
- Cleveland Clinic Lou Ruvo Center for Brain HealthLas VegasNevadaUSA
| | - Abdu Adem
- United Arab Emirates UniversityAl‐AinUnited Arab Emirates
| | - Jeffrey R. Wilson
- Arizona State University W. P. Carey School of BusinessTempeArizonaUSA
| | - Justin Miller
- Cleveland Clinic Lou Ruvo Center for Brain HealthLas VegasNevadaUSA
| | - Marwan N. Sabbagh
- Cleveland Clinic Lou Ruvo Center for Brain HealthLas VegasNevadaUSA
- Barrow Neurological InstitutePhoenixAZ
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Liu J, Li Y, Yang X, Xu H, Ren J, Zhou P. Regional Spontaneous Neural Activity Alterations in Type 2 Diabetes Mellitus: A Meta-Analysis of Resting-State Functional MRI Studies. Front Aging Neurosci 2021; 13:678359. [PMID: 34220486 PMCID: PMC8245688 DOI: 10.3389/fnagi.2021.678359] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 05/11/2021] [Indexed: 01/06/2023] Open
Abstract
Objective: Resting-state functional magnetic resonance imaging (rs-fMRI) studies have revealed inconsistent regional spontaneous neural activity alterations in patients with type 2 diabetes mellitus (T2DM). The aim of our meta-analysis was to identify concordant regional spontaneous neural activity abnormalities in patients with T2DM. Methods: A systematic search was conducted to identify voxel-based rs-fMRI studies comparing T2DM patients with healthy controls. The permutation of subject images seed-based d mapping (SDM) was used to quantitatively estimate the regional spontaneous neural activity abnormalities in patients with T2DM. Metaregression was conducted to examine the associations between clinical characteristics and functional alterations. Results: A total of 16 studies with 19 datasets including 434 patients with T2DM and 391 healthy controls were included. Patients with T2DM showed hypoactivity in the right medial superior frontal gyrus, right superior temporal gyrus, and left lingual gyrus, whereas hyperactivity in the right cerebellum. Metaregression analysis identified negative correlation between regional activity in the medial superior frontal and anterior cingulate gyri and illness duration of patients with T2DM. Conclusion: The patterns of regional spontaneous neural activity alterations, characterized by hypoactivity in the medial pre-frontal cortex, visual cortex, and superior temporal gyrus, whereas hyperactivity in the cerebellum, might represent the underlying neuropathological mechanisms of T2DM.
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Affiliation(s)
- Jieke Liu
- Department of Radiology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Yong Li
- Department of Radiology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Xi Yang
- Department of Radiology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Hao Xu
- Department of Radiology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Jing Ren
- Department of Radiology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Peng Zhou
- Department of Radiology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
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Asslih S, Damri O, Agam G. Neuroinflammation as a Common Denominator of Complex Diseases (Cancer, Diabetes Type 2, and Neuropsychiatric Disorders). Int J Mol Sci 2021; 22:ijms22116138. [PMID: 34200240 PMCID: PMC8201050 DOI: 10.3390/ijms22116138] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 05/31/2021] [Accepted: 05/31/2021] [Indexed: 12/15/2022] Open
Abstract
The term neuroinflammation refers to inflammation of the nervous tissue, in general, and in the central nervous system (CNS), in particular. It is a driver of neurotoxicity, it is detrimental, and implies that glial cell activation happens prior to neuronal degeneration and, possibly, even causes it. The inflammation-like glial responses may be initiated in response to a variety of cues such as infection, traumatic brain injury, toxic metabolites, or autoimmunity. The inflammatory response of activated microglia engages the immune system and initiates tissue repair. Through translational research the role played by neuroinflammation has been acknowledged in different disease entities. Intriguingly, these entities include both those directly related to the CNS (commonly designated neuropsychiatric disorders) and those not directly related to the CNS (e.g., cancer and diabetes type 2). Interestingly, all the above-mentioned entities belong to the same group of "complex disorders". This review aims to summarize cumulated data supporting the hypothesis that neuroinflammation is a common denominator of a wide variety of complex diseases. We will concentrate on cancer, type 2 diabetes (T2DM), and neuropsychiatric disorders (focusing on mood disorders).
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Al-Anbari HSN, Ismail DK, Hasan MK, Aga QAAK, Shinu P, Nair AB. High Blood Lead Levels: An Increased Risk for Development of Brain Hyperintensities among Type 2 Diabetes Mellitus Patients. Biol Trace Elem Res 2021; 199:2149-2157. [PMID: 32865724 DOI: 10.1007/s12011-020-02359-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Accepted: 08/25/2020] [Indexed: 01/21/2023]
Abstract
The current study was aimed to ascertain the effect of blood lead level on brain tissues in patients with type 2 diabetes. A total of 300 human participants ages 27 to 60 years with type 2 diabetes (n = 150) and healthy individuals (n = 150) were included in this study. The serum samples were used for measuring HbA1c and fasting blood glucose. Blood lead level was measured using flame atomic absorption spectrophotometer. Magnetic resonance imaging sub-analysis was used to assess the brain hyperintensities. Brain hyperintensities were found in 55% of patients with diabetes and 6% of non-diabetic control group subjects. The deep white matter hyperintensities were observed in 45% of diabetic patients, while the subcortical hyperintensities were noted in 10% of cases. Entorhinal cortex changes (31%) and hippocampus changes (42%) were noted in diabetic patients with brain hyperintensities. Diabetic patients with brain hyperintensities showed higher blood lead levels, HbA1c, and fasting blood sugar (p < 0.0001) as compared with healthy volunteers. A higher correlation (R2 = 0.8922) was found between deep white matter hyperintensities' size and blood lead levels. In nutshell, persistence of high blood lead level in diabetic patients may progress to brain hyperintensities which may consequently lead to cognitive, behavioral changes and Alzheimer's disease.
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Affiliation(s)
| | - Dawser K Ismail
- Department of Pharmaceutical Sciences, Faculty of Pharmacy, Al Esraa University College, Baghdad, 10069, Iraq
| | - Mohammed Khudair Hasan
- Department of Pharmaceutical Sciences, Faculty of Pharmacy, Al Esraa University College, Baghdad, 10069, Iraq
| | - Qutaiba Ahmed Al Khames Aga
- Department of Pharmaceutical Sciences, Faculty of Pharmacy, Philadelphia University, P.O. Box 1, Amman, 19392, Jordan.
| | - Pottathil Shinu
- Department of Biomedical Sciences, College of Clinical Pharmacy, King Faisal University, Al-Ahsa, 31982, Saudi Arabia
| | - Anroop B Nair
- Department of Pharmaceutical Sciences, College of Clinical Pharmacy, King Faisal University, Al-Ahsa, 31982, Saudi Arabia
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Kang SH, Kim ME, Jang H, Kwon H, Lee H, Kim HJ, Seo SW, Na DL. Amyloid Positivity in the Alzheimer/Subcortical-Vascular Spectrum. Neurology 2021; 96:e2201-e2211. [PMID: 33722997 DOI: 10.1212/wnl.0000000000011833] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Accepted: 01/28/2021] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE We investigated the frequency of β-amyloid (Aβ) positivity in 9 groups classified according to a combination of 3 different cognition states and 3 distinct levels of white matter hyperintensities (WMH) (minimal, moderate, and severe) and aimed to determine which factors were associated with Aβ after controlling for WMH and vice versa. METHODS A total of 1,047 individuals with subjective cognitive decline (SCD, n = 294), mild cognitive impairment (MCI, n = 237), or dementia (n = 516) who underwent Aβ PET scans were recruited from the memory clinic at Samsung Medical Center in Seoul, Korea. We investigated the following: (1) Aβ positivity in the 9 groups, (2) the relationship between Aβ positivity and WMH severity, and (3) clinical and genetic factors independently associated with Aβ or WMH. RESULTS Aβ positivity increased as the severity of cognitive impairment increased (SCD [15.7%], MCI [43.5%], and dementia [76.2%]), whereas it decreased as the severity of WMH increased (minimal [54.5%], moderate [53.9%], and severe [41.0%]) or the number of lacunes (0 [59.0%], 1-3 [42.0%], and >3 [23.4%]) increased. Aβ positivity was associated with higher education, absence of diabetes, and presence of APOE ε4 after controlling for cognitive and WMH status. CONCLUSION Our analysis of Aβ positivity involving a large sample classified according to the stratified cognitive states and WMH severity indicates that Alzheimer and cerebral small vessel diseases lie on a continuum. Our results offer clinicians insightful information about the association among Aβ, WMH, and cognition.
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Affiliation(s)
- Sung Hoon Kang
- From the Department of Neurology, Sungkyunkwan University School of Medicine (S.H.K., H.J., H.L., H.J.K., S.W.S., D.L.N.), Neuroscience Center (S.H.K., H.J., H.L., H.J.K., S.W.S., D.L.N.), and Stem Cell & Regenerative Medicine Institute (D.L.N.), Samsung Medical Center; Department of Neurology (S.H.K.), Korea University Guro Hospital, Korea University College of Medicine, Seoul; Chicago College of Osteopathic Medicine (M.E.K.), Midwestern University, IL; New York University (H.K.), NY; and Department of Health Sciences and Technology, SAIHST (D.L.N.), Sungkyunkwan University, Seoul, Korea
| | - Monica Eunseo Kim
- From the Department of Neurology, Sungkyunkwan University School of Medicine (S.H.K., H.J., H.L., H.J.K., S.W.S., D.L.N.), Neuroscience Center (S.H.K., H.J., H.L., H.J.K., S.W.S., D.L.N.), and Stem Cell & Regenerative Medicine Institute (D.L.N.), Samsung Medical Center; Department of Neurology (S.H.K.), Korea University Guro Hospital, Korea University College of Medicine, Seoul; Chicago College of Osteopathic Medicine (M.E.K.), Midwestern University, IL; New York University (H.K.), NY; and Department of Health Sciences and Technology, SAIHST (D.L.N.), Sungkyunkwan University, Seoul, Korea
| | - Hyemin Jang
- From the Department of Neurology, Sungkyunkwan University School of Medicine (S.H.K., H.J., H.L., H.J.K., S.W.S., D.L.N.), Neuroscience Center (S.H.K., H.J., H.L., H.J.K., S.W.S., D.L.N.), and Stem Cell & Regenerative Medicine Institute (D.L.N.), Samsung Medical Center; Department of Neurology (S.H.K.), Korea University Guro Hospital, Korea University College of Medicine, Seoul; Chicago College of Osteopathic Medicine (M.E.K.), Midwestern University, IL; New York University (H.K.), NY; and Department of Health Sciences and Technology, SAIHST (D.L.N.), Sungkyunkwan University, Seoul, Korea
| | - Hojeong Kwon
- From the Department of Neurology, Sungkyunkwan University School of Medicine (S.H.K., H.J., H.L., H.J.K., S.W.S., D.L.N.), Neuroscience Center (S.H.K., H.J., H.L., H.J.K., S.W.S., D.L.N.), and Stem Cell & Regenerative Medicine Institute (D.L.N.), Samsung Medical Center; Department of Neurology (S.H.K.), Korea University Guro Hospital, Korea University College of Medicine, Seoul; Chicago College of Osteopathic Medicine (M.E.K.), Midwestern University, IL; New York University (H.K.), NY; and Department of Health Sciences and Technology, SAIHST (D.L.N.), Sungkyunkwan University, Seoul, Korea
| | - Hyejoo Lee
- From the Department of Neurology, Sungkyunkwan University School of Medicine (S.H.K., H.J., H.L., H.J.K., S.W.S., D.L.N.), Neuroscience Center (S.H.K., H.J., H.L., H.J.K., S.W.S., D.L.N.), and Stem Cell & Regenerative Medicine Institute (D.L.N.), Samsung Medical Center; Department of Neurology (S.H.K.), Korea University Guro Hospital, Korea University College of Medicine, Seoul; Chicago College of Osteopathic Medicine (M.E.K.), Midwestern University, IL; New York University (H.K.), NY; and Department of Health Sciences and Technology, SAIHST (D.L.N.), Sungkyunkwan University, Seoul, Korea
| | - Hee Jin Kim
- From the Department of Neurology, Sungkyunkwan University School of Medicine (S.H.K., H.J., H.L., H.J.K., S.W.S., D.L.N.), Neuroscience Center (S.H.K., H.J., H.L., H.J.K., S.W.S., D.L.N.), and Stem Cell & Regenerative Medicine Institute (D.L.N.), Samsung Medical Center; Department of Neurology (S.H.K.), Korea University Guro Hospital, Korea University College of Medicine, Seoul; Chicago College of Osteopathic Medicine (M.E.K.), Midwestern University, IL; New York University (H.K.), NY; and Department of Health Sciences and Technology, SAIHST (D.L.N.), Sungkyunkwan University, Seoul, Korea
| | - Sang Won Seo
- From the Department of Neurology, Sungkyunkwan University School of Medicine (S.H.K., H.J., H.L., H.J.K., S.W.S., D.L.N.), Neuroscience Center (S.H.K., H.J., H.L., H.J.K., S.W.S., D.L.N.), and Stem Cell & Regenerative Medicine Institute (D.L.N.), Samsung Medical Center; Department of Neurology (S.H.K.), Korea University Guro Hospital, Korea University College of Medicine, Seoul; Chicago College of Osteopathic Medicine (M.E.K.), Midwestern University, IL; New York University (H.K.), NY; and Department of Health Sciences and Technology, SAIHST (D.L.N.), Sungkyunkwan University, Seoul, Korea
| | - Duk L Na
- From the Department of Neurology, Sungkyunkwan University School of Medicine (S.H.K., H.J., H.L., H.J.K., S.W.S., D.L.N.), Neuroscience Center (S.H.K., H.J., H.L., H.J.K., S.W.S., D.L.N.), and Stem Cell & Regenerative Medicine Institute (D.L.N.), Samsung Medical Center; Department of Neurology (S.H.K.), Korea University Guro Hospital, Korea University College of Medicine, Seoul; Chicago College of Osteopathic Medicine (M.E.K.), Midwestern University, IL; New York University (H.K.), NY; and Department of Health Sciences and Technology, SAIHST (D.L.N.), Sungkyunkwan University, Seoul, Korea.
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Shinohara M, Kikuchi M, Onishi-Takeya M, Tashiro Y, Suzuki K, Noda Y, Takeda S, Mukouzono M, Nagano S, Fukumori A, Morishita R, Nakaya A, Sato N. Upregulated expression of a subset of genes in APP; ob/ ob mice: Evidence of an interaction between diabetes-linked obesity and Alzheimer's disease. FASEB Bioadv 2021; 3:323-333. [PMID: 33977233 PMCID: PMC8103720 DOI: 10.1096/fba.2020-00151] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Revised: 01/17/2021] [Accepted: 01/29/2021] [Indexed: 12/26/2022] Open
Abstract
Clinical studies have indicated that obesity and diabetes are associated with Alzheimer's disease (AD) and neurodegeneration. However, the mechanism by which obesity/diabetes and AD interact with each other and contribute to dementia remains elusive. To obtain insights into their interaction at molecular levels, we performed gene expression analysis of APP;ob/ob mice, which were generated by crossing transgenic AD model mice (APP23 mice) with ob/ob mice, which are obese and mildly diabetic. The Aβ level in these mice was reduced compared with that in pure APP mice. However, we identified a cluster of genes (cluster 10) upregulated in APP;ob/ob mice but not in either APP or ob/ob mice. Interestingly, genes upregulated in the human AD brain were enriched in cluster 10. Moreover, genes in cluster 10 formed a network and shared upregulated genes with a cell model of neurodegeneration and other models of neurological disorders such as ischemia and epilepsy. In silico analyses showed that serum response factor (SRF), recently identified in a single-cell analysis of human brains as a transcription factor that can control the conversion from healthy cells to AD cells, might be a common transcriptional regulator for a subset of cluster 10 genes. These data suggest that upregulation of genes uniquely associated with APP;ob/ob mice is an evidence of the interaction between obesity/diabetes and AD.
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Affiliation(s)
- Mitsuru Shinohara
- Department of Aging Neurobiology Center for Development of Advanced Medicine for Dementia National Center for Geriatrics and Gerontology Obu Aichi Japan.,Department of Aging Neurobiology Graduate School of Medicine Osaka University Osaka Japan
| | - Masataka Kikuchi
- Department of Genome Informatics Graduate School of Medicine Osaka University Osaka Japan
| | - Miyuki Onishi-Takeya
- Department of Geriatric Medicine Graduate School of Medicine Osaka University Osaka Japan
| | - Yoshitaka Tashiro
- Department of Aging Neurobiology Center for Development of Advanced Medicine for Dementia National Center for Geriatrics and Gerontology Obu Aichi Japan
| | - Kaoru Suzuki
- Department of Aging Neurobiology Center for Development of Advanced Medicine for Dementia National Center for Geriatrics and Gerontology Obu Aichi Japan
| | - Yasuhiro Noda
- Department of Aging Neurobiology Center for Development of Advanced Medicine for Dementia National Center for Geriatrics and Gerontology Obu Aichi Japan
| | - Shuko Takeda
- Department of Clinical Gene Therapy Graduate School of Medicine Osaka University Osaka Japan
| | - Masahiro Mukouzono
- Department of Clinical Gene Therapy Graduate School of Medicine Osaka University Osaka Japan
| | - Seiichi Nagano
- Department of Neurology Graduate School of Medicine Osaka University Osaka Japan
| | - Akio Fukumori
- Department of Aging Neurobiology Center for Development of Advanced Medicine for Dementia National Center for Geriatrics and Gerontology Obu Aichi Japan.,Department of Aging Neurobiology Graduate School of Medicine Osaka University Osaka Japan
| | - Ryuichi Morishita
- Department of Clinical Gene Therapy Graduate School of Medicine Osaka University Osaka Japan
| | - Akihiro Nakaya
- Department of Genome Informatics Graduate School of Medicine Osaka University Osaka Japan
| | - Naoyuki Sato
- Department of Aging Neurobiology Center for Development of Advanced Medicine for Dementia National Center for Geriatrics and Gerontology Obu Aichi Japan.,Department of Aging Neurobiology Graduate School of Medicine Osaka University Osaka Japan
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18
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Blevins BL, Vinters HV, Love S, Wilcock DM, Grinberg LT, Schneider JA, Kalaria RN, Katsumata Y, Gold BT, Wang DJJ, Ma SJ, Shade LMP, Fardo DW, Hartz AMS, Jicha GA, Nelson KB, Magaki SD, Schmitt FA, Teylan MA, Ighodaro ET, Phe P, Abner EL, Cykowski MD, Van Eldik LJ, Nelson PT. Brain arteriolosclerosis. Acta Neuropathol 2021; 141:1-24. [PMID: 33098484 PMCID: PMC8503820 DOI: 10.1007/s00401-020-02235-6] [Citation(s) in RCA: 70] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Revised: 10/04/2020] [Accepted: 10/05/2020] [Indexed: 12/14/2022]
Abstract
Brain arteriolosclerosis (B-ASC), characterized by pathologic arteriolar wall thickening, is a common finding at autopsy in aged persons and is associated with cognitive impairment. Hypertension and diabetes are widely recognized as risk factors for B-ASC. Recent research indicates other and more complex risk factors and pathogenetic mechanisms. Here, we describe aspects of the unique architecture of brain arterioles, histomorphologic features of B-ASC, relevant neuroimaging findings, epidemiology and association with aging, established genetic risk factors, and the co-occurrence of B-ASC with other neuropathologic conditions such as Alzheimer's disease and limbic-predominant age-related TDP-43 encephalopathy (LATE). There may also be complex physiologic interactions between metabolic syndrome (e.g., hypertension and inflammation) and brain arteriolar pathology. Although there is no universally applied diagnostic methodology, several classification schemes and neuroimaging techniques are used to diagnose and categorize cerebral small vessel disease pathologies that include B-ASC, microinfarcts, microbleeds, lacunar infarcts, and cerebral amyloid angiopathy (CAA). In clinical-pathologic studies that factored in comorbid diseases, B-ASC was independently associated with impairments of global cognition, episodic memory, working memory, and perceptual speed, and has been linked to autonomic dysfunction and motor symptoms including parkinsonism. We conclude by discussing critical knowledge gaps related to B-ASC and suggest that there are probably subcategories of B-ASC that differ in pathogenesis. Observed in over 80% of autopsied individuals beyond 80 years of age, B-ASC is a complex and under-studied contributor to neurologic disability.
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Affiliation(s)
- Brittney L Blevins
- Department of Neuroscience, University Kentucky, Lexington, KY, 40536, USA
| | - Harry V Vinters
- Department of Pathology and Laboratory Medicine, David Geffen SOM at UCLA and Ronald Reagan UCLA Medical Center, Los Angeles, CA, 90095-1732, USA
| | - Seth Love
- University of Bristol and Southmead Hospital, Bristol, BS10 5NB, UK
| | - Donna M Wilcock
- Sanders-Brown Center on Aging, Department of Neuroscience, University Kentucky, Lexington, KY, 40536, USA
| | - Lea T Grinberg
- Department of Neurology and Pathology, UCSF, San Francisco, CA, USA
- Global Brain Health Institute, UCSF, San Francisco, CA, USA
- LIM-22, Department of Pathology, University of Sao Paulo Medical School, São Paulo, Brazil
| | - Julie A Schneider
- Departments of Neurology and Pathology, Rush University Medical Center, Chicago, IL, 60612, USA
| | - Rajesh N Kalaria
- Translational and Clinical Research Institute, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5PL, UK
| | - Yuriko Katsumata
- Sanders-Brown Center on Aging, Department of Biostatistics, University Kentucky, Lexington, KY, 40536, USA
| | - Brian T Gold
- Sanders-Brown Center on Aging, Department of Neuroscience, University Kentucky, Lexington, KY, 40536, USA
| | - Danny J J Wang
- Laboratory of FMRI Technology (LOFT), USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, USA
| | - Samantha J Ma
- Laboratory of FMRI Technology (LOFT), USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, USA
| | - Lincoln M P Shade
- Sanders-Brown Center on Aging, Department of Biostatistics, University Kentucky, Lexington, KY, 40536, USA
| | - David W Fardo
- Sanders-Brown Center on Aging, Department of Biostatistics, University Kentucky, Lexington, KY, 40536, USA
| | - Anika M S Hartz
- Sanders-Brown Center on Aging, Department of Pharmacology and Nutritional Sciences, University Kentucky, Lexington, KY, 40536, USA
| | - Gregory A Jicha
- Sanders-Brown Center on Aging, Department of Neurology, University Kentucky, Lexington, KY, 40536, USA
| | | | - Shino D Magaki
- Department of Pathology and Laboratory Medicine, David Geffen SOM at UCLA and Ronald Reagan UCLA Medical Center, Los Angeles, CA, 90095-1732, USA
| | - Frederick A Schmitt
- Sanders-Brown Center on Aging, Department of Neurology, University Kentucky, Lexington, KY, 40536, USA
| | - Merilee A Teylan
- Department of Epidemiology, University Washington, Seattle, WA, 98105, USA
| | | | - Panhavuth Phe
- Sanders-Brown Center on Aging, University Kentucky, Lexington, KY, 40536, USA
| | - Erin L Abner
- Sanders-Brown Center on Aging, Department of Epidemiology, University Kentucky, Lexington, KY, 40536, USA
| | - Matthew D Cykowski
- Departments of Pathology and Genomic Medicine and Neurology, Houston Methodist Hospital, Houston, TX, 77030, USA
| | - Linda J Van Eldik
- Sanders-Brown Center on Aging, Department of Neuroscience, University Kentucky, Lexington, KY, 40536, USA
| | - Peter T Nelson
- Sanders-Brown Center on Aging, Department of Pathology, University of Kentucky, Lexington, KY, 40536, USA.
- Rm 311 Sanders-Brown Center on Aging, University of Kentucky, 800 S. Limestone Avenue, Lexington, KY, 40536, USA.
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19
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Zhao Y, Liu J, Li J, Zhao F, Du S, Wang Y, Li J, Yang L, Du J, Tang Y. Changes in hippocampal capillaries in transgenic type 2 diabetic mice: A stereological investigation. Anat Rec (Hoboken) 2020; 304:1071-1083. [PMID: 33015956 DOI: 10.1002/ar.24525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 06/30/2020] [Accepted: 07/19/2020] [Indexed: 11/07/2022]
Abstract
The cognitive dysfunction associated with type 2 diabetes mellitus (T2DM) has been widely studied, and many structures in the hippocampus, such as neurons and synapses, have been shown to play a crucial role in the cognitive decline. However, the mechanism of these changes remains unknown. To further explore this issue, we investigated the changes in the blood supply of the hippocampus in transgenic T2DM mice. In the current study, histochemistry, immunohistochemistry, and unbiased stereological methods were utilized to research the effects of T2DM on hippocampal capillaries of transgenic db/db mice. Twenty (Leprdb ) mut/mut mice and twenty (Leprdb ) wt/wt mice were used in this study. The learning and memory ability was appraised by Morris water maze test.
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Affiliation(s)
- Yuanyu Zhao
- Department of Pathology, Sichuan Science City Hospital, Mianyang, Sichuan Province, China
| | - Jin Liu
- Laboratory of Electron Microscopy, North Sichuan Medical College, Nanchong, Sichuan Province, China
| | - Jing Li
- Laboratory of Electron Microscopy, North Sichuan Medical College, Nanchong, Sichuan Province, China
| | - Feng Zhao
- Laboratory of Electron Microscopy, North Sichuan Medical College, Nanchong, Sichuan Province, China
| | - Shijuan Du
- Department of Pathology, Sichuan Science City Hospital, Mianyang, Sichuan Province, China
| | - Yunzi Wang
- Department of Pathology, Sichuan Science City Hospital, Mianyang, Sichuan Province, China
| | - Juan Li
- Department of Pathology, Sichuan Science City Hospital, Mianyang, Sichuan Province, China
| | - Lijun Yang
- Department of Pathology, Sichuan Science City Hospital, Mianyang, Sichuan Province, China
| | - Jiang Du
- Department of General Surgery, Sichuan Science City Hospital, Mianyang, Sichuan Province, China
| | - Yong Tang
- Department of Histology and Embryology, Chongqing Medical University, Chongqing, China
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20
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Bradley D. Clusterin as a Potential Biomarker of Obesity-Related Alzheimer's Disease Risk. Biomark Insights 2020; 15:1177271920964108. [PMID: 33110346 PMCID: PMC7555556 DOI: 10.1177/1177271920964108] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Accepted: 09/14/2020] [Indexed: 02/03/2023] Open
Abstract
Over 35% of the adult US population is obese. In turn, excess adiposity increases the risk of multiple complications including type 2 diabetes (T2D), insulin resistance, and cardiovascular disease; yet, obesity also independently heightens risk of Alzheimer's Disease (AD), even after adjusting for other important confounding risk factors including blood pressure, sociodemographics, cholesterol levels, smoking status, and Apolipoprotein E (ApoE) genotype. Among patients over the age of 65 with dementia, 37% have coexisting diabetes, and an estimated 7.3% of cases of AD are directly attributable to midlife obesity. Clusterin, also known as apolipoprotein J (ApoJ), is a multifunctional glycoprotein that acts as a molecular chaperone, assisting folding of secreted proteins. Clusterin has been implicated in several physiological and pathological states, including AD, metabolic disease, and cardiovascular disease. Despite long-standing interest in elucidating clusterin's relationship with amyloid beta (Aβ) aggregation/clearance and toxicity, significant knowledge gaps still exist. Altered clusterin expression and protein levels have been linked with cognitive and memory function, disrupted central nervous system lipid flux, as well as pathogenic brain structure; and its role in cardiometabolic disease suggests that it may be a link between insulin resistance, dyslipidemia, and AD. Here, we briefly highlight clusterin's relevance to AD by presenting existing evidence linking clusterin to AD and cardiometabolic disease, and discussing its potential utility as a biomarker for AD in the presence of obesity-related metabolic disease.
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Affiliation(s)
- David Bradley
- Diabetes and Metabolism Research Center, Division of Endocrinology, Diabetes & Metabolism, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
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21
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Ram H, Jaipal N, Kumar P, Deka P, Kumar S, Kashyap P, Kumar S, Singh BP, Alqarawi AA, Hashem A, Tabassum B, Abd Allah EF. Dual Inhibition of DPP-4 and Cholinesterase Enzymes by the Phytoconstituents of the Ethanolic Extract of Prosopis cineraria Pods: Therapeutic Implications for the Treatment of Diabetes-associated Neurological Impairments. Curr Alzheimer Res 2020; 16:1230-1244. [PMID: 31797759 DOI: 10.2174/1567205016666191203161509] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Revised: 11/17/2019] [Accepted: 12/02/2019] [Indexed: 01/11/2023]
Abstract
BACKGROUND Insulin resistance causes decreased uptake of glucose which promotes the susceptibility of type 2 associated neurological impairments. METHODS The study was aimed to evaluate the inhibition potential of the ethanolic extract of Prosopis cineraria (EPC) pods against DPP-4 and cholinesterase enzymes by in-vitro, in-vivo and in-silico assessments. The present study consists of in vivo studies on a diabetes-induced rat model by HOMA (Homeostasis model assessment) and related parameters, in vitro studies through the DPP-4 enzyme assay and cholinesterase assays using Ellman's reaction. The in-silico studies were conducted by the molecular docking of Cinerin C with targeted enzymes. The phytochemical characterization of the extract was demonstrated through LCMS studies. The antioxidant studies on the extract were performed by FRAP and TEAC assays. RESULTS The extract showed 64.8% maximum inhibition of DPP-4, 34.91% inhibition of AChE and 74.35% inhibition of BuChE. The antioxidant capacity of the extract was observed to be 847.81±16.25μM Fe2+ equivalent in the FRAP assay and 0.40 ± 0.08 mmol/l of Trolox equivalent in the TEAC assay. The in vivo study showed competent glycaemic control against significant HOMA IR (1.5), HOMA % β (26.5) and HOMA % S (68.8) as well as pancreatic cell mass proliferation. The insilico analysis also revealed positive interactions of Cinerin C with targeted enzymes (DPP4 and cholinesterase). CONCLUSION It can be concluded that the phytoconstituents of Prosopis cineraria pod extract can be significantly considered in neuropharmacology to resolve insulin resistance-induced neurological complications as it showed inhibition against DPP-4, AChE and BuChE target enzymes.
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Affiliation(s)
- Heera Ram
- Department of Zoology, Jai Narain Vyas University, Jodhpur (Rajasthan)-342001, India
| | - Noopur Jaipal
- Department of Zoology, Jai Narain Vyas University, Jodhpur (Rajasthan)-342001, India
| | - Pramod Kumar
- Department of Zoology, Jai Narain Vyas University, Jodhpur (Rajasthan)-342001, India
| | - Purbajyoti Deka
- Department of Biotechnology, Mizoram University, Aizawl, Mizoram, India
| | - Shivani Kumar
- University School of Biotechnology, GGS Indraprastha University, Dwarka, Sector 16C, New Delhi 110075, India
| | - Priya Kashyap
- University School of Biotechnology, GGS Indraprastha University, Dwarka, Sector 16C, New Delhi 110075, India
| | - Suresh Kumar
- University School of Biotechnology, GGS Indraprastha University, Dwarka, Sector 16C, New Delhi 110075, India
| | - Bhim P Singh
- Department of Biotechnology, Mizoram University, Aizawl, Mizoram, India
| | - Abdulaziz A Alqarawi
- Plant Production Department, College of Food and Agricultural Sciences, King Saud University, P.O. Box. 2460, Riyadh 11451, Saudi Arabia
| | - Abeer Hashem
- Botany and Microbiology Department, College of Science, King Saud University, P.O. Box. 2460, Riyadh 11451, Saudi Arabia.,Mycology and Plant Disease Survey Department, Plant Pathology Research Institute, ARC, Giza 12511, Egypt
| | - Baby Tabassum
- Toxicology Laboratory, Department of Zoology, Govt. Raza P.G. College Rampur, 244901, U.P, India
| | - Elsayed Fathi Abd Allah
- Plant Production Department, College of Food and Agricultural Sciences, King Saud University, P.O. Box. 2460, Riyadh 11451, Saudi Arabia
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22
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Zhou J, Zhang Z, Zhou H, Qian G. Diabetic Cognitive Dysfunction: From Bench to Clinic. Curr Med Chem 2020; 27:3151-3167. [PMID: 30727866 DOI: 10.2174/1871530319666190206225635] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2018] [Revised: 12/30/2018] [Accepted: 01/30/2019] [Indexed: 02/07/2023]
Abstract
Type 2 diabetes increases the risk of developing cognitive dysfunction in the elderly in the form of short-term memory and executive function impairment. Genetic and diet-induced models of type 2 diabetes further support this link, displaying deficits in working memory, learning, and memory performance. The risk factors for diabetic cognitive dysfunction include vascular disease, hypoglycaemia, hyperlipidaemia, adiposity, insulin resistance, lifestyle factors, and genetic factors. Using neuronal imaging technologies, diabetic patients with cognitive dysfunction show atrophy of the whole brain, particularly the grey matter, hippocampus and amygdala; increased volume of the ventricular and white matter; brain infarcts; impaired network integrity; abnormal microstructure; and reduced cerebral blood flow and amplitude of low-frequency fluctuations. The pathogenesis of type 2 diabetes with cognitive dysfunction involves hyperglycaemia, macrovascular and microvascular diseases, insulin resistance, inflammation, apoptosis, and disorders of neurotransmitters. Large clinical trials may offer further proof of biomarkers and risk factors for diabetic cognitive dysfunction. Advanced neuronal imaging technologies and novel disease animal models will assist in elucidating the precise pathogenesis and to provide better therapeutic interventions and treatment.
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Affiliation(s)
- Jiyin Zhou
- National Drug Clinical Trial Institution, the Second Affiliated Hospital, Army Medical University, Chongqing 400037, China
| | - Zuo Zhang
- National Drug Clinical Trial Institution, the Second Affiliated Hospital, Army Medical University, Chongqing 400037, China
| | - Hongli Zhou
- National Drug Clinical Trial Institution, the Second Affiliated Hospital, Army Medical University, Chongqing 400037, China
| | - Guisheng Qian
- Institute of Respiratory Diseases, the Second Affiliated Hospital, Army Medical University, Chongqing 400037, China
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23
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King MR, Anderson NJ, Deciu M, Guernsey LS, Cundiff M, Hajizadeh S, Jolivalt CG. Insulin deficiency, but not resistance, exaggerates cognitive deficits in transgenic mice expressing human amyloid and tau proteins. Reversal by Exendin-4 treatment. J Neurosci Res 2020; 98:2357-2369. [PMID: 32737929 DOI: 10.1002/jnr.24706] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Revised: 06/29/2020] [Accepted: 07/12/2020] [Indexed: 12/24/2022]
Abstract
Epidemiological studies have pointed at diabetes as a risk factor for Alzheimer's disease (AD) and this has been supported by several studies in animal models of both type 1 and type 2 diabetes. However, side-by-side comparison of the two types of diabetes is limited. We investigated the role of insulin deficiency and insulin resistance in the development of memory impairments and the effect of Exendin-4 (Ex4) treatment in a mouse model of AD. Three-4-month-old female wild type (WT) mice and mice overexpressing human tau and amyloid precursor protein (TAPP) were injected with streptozotocin (STZ) or fed a high-fat diet (HFD). A second study was performed in TAPP-STZ mice treated with Ex4, a long-lasting analog of GLP-1. Plasma and brain were collected at study termination for ELISA, Western blot, and immunohistochemistry analysis. Learning and memory deficits were impaired in TAPP transgenic mice compared with WT mice at the end of the study. Deficits were exaggerated by insulin deficiency in TAPP mice but 12 weeks of insulin resistance did not affect memory performances in either WT or TAPP mice. Levels of phosphorylated tau were increased in the brain of WT-STZ and TAPP-STZ mice but not in the brain of WT or TAPP mice on HFD. In the TAPP-STZ mice, treatment with Ex4 initiated after established cognitive deficits ameliorated learning, but not memory, impairments. This was accompanied by the reduction of amyloid β and phosphorylated tau expression. Theses studies support the role of Ex4 in AD, independently from its actions on diabetes.
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Affiliation(s)
- Matthew R King
- Department of Pathology, University of California San Diego, La Jolla, CA, USA
| | - Nicholas J Anderson
- Department of Pathology, University of California San Diego, La Jolla, CA, USA
| | - Mihaela Deciu
- Department of Pathology, University of California San Diego, La Jolla, CA, USA
| | - Lucie S Guernsey
- Department of Pathology, University of California San Diego, La Jolla, CA, USA
| | - Morgan Cundiff
- Department of Pathology, University of California San Diego, La Jolla, CA, USA
| | - Shohreh Hajizadeh
- Department of Pathology, University of California San Diego, La Jolla, CA, USA
| | - Corinne G Jolivalt
- Department of Pathology, University of California San Diego, La Jolla, CA, USA
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24
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Mulati A, Ma S, Zhang H, Ren B, Zhao B, Wang L, Liu X, Zhao T, Kamanova S, Sair AT, Liu Z, Liu X. Sea-Buckthorn Flavonoids Alleviate High-Fat and High-Fructose Diet-Induced Cognitive Impairment by Inhibiting Insulin Resistance and Neuroinflammation. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2020; 68:5835-5846. [PMID: 32363873 DOI: 10.1021/acs.jafc.0c00876] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Sea-buckthorn flavonoids (SFs) have been used as functional food components for their bioactive potential in preventing metabolic complications caused by diet, such as obesity and inflammation. However, the protective effect of SFs on cognitive functions is not fully clear. In this study, a high-fat and high-fructose diet (HFFD)-induced obese mice model was treated with SFs for 14 weeks. It was found that the oral SF administration (0.06% and 0.31% w/w, mixed in diet) significantly reduced bodyweight gain and insulin resistance in the HFFD-fed mice. SFs significantly prevented HFFD-induced neuronal loss and memory impairment in behavioral tests. Additionally, SFs also suppressed the HFFD-induced synaptic dysfunction and neuronal damages by increasing the protein expressions of PSD-95. Furthermore, SF treatment activated the ERK/CREB/BDNF and IRS-1/AKT pathways and inactivated the NF-κB signaling and its downstream inflammatory mediator expressions. In conclusion, SFs are a potential nutraceutical to prevent high-energy density diet-induced cognitive impairments, which could be possibly explained by their mediating effects on insulin signaling and inflammatory responses in the brain.
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Affiliation(s)
- Aiziguli Mulati
- Laboratory of Functional Chemistry and Nutrition of Food, College of Food Science and Engineering, Northwest A&F University, Yangling, 712100 China
| | - Shaobo Ma
- Laboratory of Functional Chemistry and Nutrition of Food, College of Food Science and Engineering, Northwest A&F University, Yangling, 712100 China
| | - Hongbo Zhang
- Laboratory of Functional Chemistry and Nutrition of Food, College of Food Science and Engineering, Northwest A&F University, Yangling, 712100 China
| | - Bo Ren
- Laboratory of Functional Chemistry and Nutrition of Food, College of Food Science and Engineering, Northwest A&F University, Yangling, 712100 China
| | - Beita Zhao
- Laboratory of Functional Chemistry and Nutrition of Food, College of Food Science and Engineering, Northwest A&F University, Yangling, 712100 China
| | - Luanfeng Wang
- Laboratory of Functional Chemistry and Nutrition of Food, College of Food Science and Engineering, Northwest A&F University, Yangling, 712100 China
| | - Xiaoning Liu
- Laboratory of Functional Chemistry and Nutrition of Food, College of Food Science and Engineering, Northwest A&F University, Yangling, 712100 China
| | - Tong Zhao
- Laboratory of Functional Chemistry and Nutrition of Food, College of Food Science and Engineering, Northwest A&F University, Yangling, 712100 China
| | - Svetlana Kamanova
- Laboratory of Functional Chemistry and Nutrition of Food, College of Food Science and Engineering, Northwest A&F University, Yangling, 712100 China
| | - Ali Tahir Sair
- Department of Food Science, Cornell University, Ithaca, New York 14850, United States
| | - Zhigang Liu
- Laboratory of Functional Chemistry and Nutrition of Food, College of Food Science and Engineering, Northwest A&F University, Yangling, 712100 China
- Department of Food Science, Cornell University, Ithaca, New York 14850, United States
| | - Xuebo Liu
- Laboratory of Functional Chemistry and Nutrition of Food, College of Food Science and Engineering, Northwest A&F University, Yangling, 712100 China
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25
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Overexpression of Purinergic P2X4 Receptors in Hippocampus Rescues Memory Impairment in Rats with Type 2 Diabetes. Neurosci Bull 2020; 36:719-732. [PMID: 32198702 PMCID: PMC7340685 DOI: 10.1007/s12264-020-00478-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Accepted: 11/25/2019] [Indexed: 12/15/2022] Open
Abstract
Purinergic receptors have been reported to be involved in brain disorders. In this study, we explored their roles and mechanisms underlying the memory impairment in rats with type 2 diabetes mellitus (T2DM). T2DM rats exhibited a worse performance in the T-maze and Morris water maze (MWM) than controls. Microglia positive for P2X purinoceptor 4 (P2X4R) in the hippocampus were reduced and activated microglia were increased in T2DM rats. Long Amplicon PCR (LA-PCR) showed that DNA amplification of the p2x4r gene in the hippocampus was lower in T2DM rats. Minocycline significantly reduced the number of activated microglia and the mean distance traveled by T2DM rats in the MWM. Most importantly, P2X4R overexpression suppressed the activated microglia and rescued the memory impairment of T2DM rats. Overall, T2DM led to excessive activation of microglia in the hippocampus, partly through the DNA damage-mediated downregulation of P2X4Rs, thus contributing to memory impairment.
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26
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Shinohara M, Tashiro Y, Suzuki K, Fukumori A, Bu G, Sato N. Interaction between APOE genotype and diabetes in cognitive decline. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2020; 12:e12006. [PMID: 32211501 PMCID: PMC7085280 DOI: 10.1002/dad2.12006] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Revised: 10/10/2019] [Accepted: 11/01/2019] [Indexed: 12/17/2022]
Abstract
INTRODUCTION Although diabetes and apolipoprotein E (apoE) are both significant risk factors for dementia, including Alzheimer's disease, it remains to be clarified how they are related to each other in contributing to the risk of dementia. METHODS By reviewing the National Alzheimer's Coordinating Center (NACC) clinical records, we investigated whether diabetes affects cognitive decline depending on APOE genotype and their potential relationships with neuropathology. RESULTS A significant interaction between diabetes and APOE genotype exists, where diabetes affected cognitive decline in APOE3 carriers and APOE2 carriers, but not APOE4 carriers. Moreover, the presence of vascular pathology was increased by diabetes in APOE3 carriers, while APOE4 carriers nearly reached plateau levels irrespective of diabetes. DISCUSSION Diabetes accelerates cognitive decline, in part, through accelerating vascular impairment in non-APOE ε4 carriers, but such effects are negligible in APOE4 carriers, who themselves are already vulnerable to vascular impairment.
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Affiliation(s)
- Mitsuru Shinohara
- Department of Aging NeurobiologyCenter for Development of Advanced Medicine for DementiaNational Center for Geriatrics and GerontologyObuAichiJapan
- Department of Aging NeurobiologyGraduate School of MedicineOsaka UniversitySuitaOsakaJapan
- Department of NeuroscienceMayo ClinicJacksonvilleFloridaUSA
| | - Yoshitaka Tashiro
- Department of Aging NeurobiologyCenter for Development of Advanced Medicine for DementiaNational Center for Geriatrics and GerontologyObuAichiJapan
| | - Kaoru Suzuki
- Department of Aging NeurobiologyCenter for Development of Advanced Medicine for DementiaNational Center for Geriatrics and GerontologyObuAichiJapan
| | - Akio Fukumori
- Department of Aging NeurobiologyCenter for Development of Advanced Medicine for DementiaNational Center for Geriatrics and GerontologyObuAichiJapan
- Department of Aging NeurobiologyGraduate School of MedicineOsaka UniversitySuitaOsakaJapan
| | - Guojun Bu
- Department of NeuroscienceMayo ClinicJacksonvilleFloridaUSA
| | - Naoyuki Sato
- Department of Aging NeurobiologyCenter for Development of Advanced Medicine for DementiaNational Center for Geriatrics and GerontologyObuAichiJapan
- Department of Aging NeurobiologyGraduate School of MedicineOsaka UniversitySuitaOsakaJapan
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Diabetes mellitus in the young and the old: Effects on cognitive functioning across the life span. Neurobiol Dis 2020; 134:104608. [DOI: 10.1016/j.nbd.2019.104608] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Revised: 08/06/2019] [Accepted: 09/04/2019] [Indexed: 01/12/2023] Open
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Conner SC, Pase MP, Carneiro H, Raman MR, McKee AC, Alvarez VE, Walker JM, Satizabal CL, Himali JJ, Stein TD, Beiser A, Seshadri S. Mid-life and late-life vascular risk factor burden and neuropathology in old age. Ann Clin Transl Neurol 2019; 6:2403-2412. [PMID: 31691546 PMCID: PMC6917310 DOI: 10.1002/acn3.50936] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Accepted: 10/03/2019] [Indexed: 01/03/2023] Open
Abstract
OBJECTIVE To determine whether vascular risk factor burden in mid- or late-life associates with postmortem vascular and neurodegenerative pathologies in a community-based sample. METHODS We studied participants from the Framingham Heart Study who participated in our voluntary brain bank program. Overall vascular risk factor burden was calculated using the Framingham Stroke Risk Profile (FSRP). Mid-life FSRP was measured at 50 to 60 years of age. Following death, brains were autopsied and semi-quantitatively assessed by board-certified neuropathologists for cerebrovascular outcomes (cortical infarcts, subcortical infarcts, atherosclerosis, arteriosclerosis) and Alzheimer's disease pathology (Braak stage, cerebral amyloid angiopathy, and neuritic plaque score). We estimated adjusted odds ratios between vascular risk burden (at mid-life and before death) and neuropathological outcomes using logistic and proportional-odds logistic models. RESULTS The median time interval between FSRP and death was 33.4 years for mid-life FSRP and 4.4 years for final FSRP measurement before death. Higher mid-life vascular risk burden was associated with increased odds of all cerebrovascular pathology, even with adjustment for vascular risk burden before death. Late-life vascular risk burden was associated with increased odds of cortical infarcts (OR [95% CI]: 1.04 [1.00, 1.08]) and arteriosclerosis stage (OR [95% CI]: 1.03 [1.00, 1.05]). Mid-life vascular risk burden was not associated with Alzheimer's disease pathology, though late-life vascular risk burden was associated with increased odds of higher Braak stage (OR [95% CI]: 1.03 [1.01, 1.05]). INTERPRETATION Mid-life vascular risk burden was predictive of cerebrovascular but not Alzheimer's disease neuropathology, even after adjustment for vascular risk factors before death.
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Affiliation(s)
- Sarah C. Conner
- Framingham Heart StudyFraminghamMassachusetts
- Department of BiostatisticsBoston University School of Public HealthBostonMassachusetts
| | - Matthew P. Pase
- Framingham Heart StudyFraminghamMassachusetts
- Melbourne Dementia Research CentreThe Florey Institute for Neuroscience and Mental HealthMelbourneAustralia
- Centre for Human PsychopharmacologySwinburne University of TechnologyMelbourneAustralia
- Faculty of MedicineDentistry and Health SciencesThe University of MelbourneMelbourneAustralia
| | - Herman Carneiro
- Framingham Heart StudyFraminghamMassachusetts
- Department of MedicineBoston University School of MedicineBostonMassachusetts
| | - Mekala R. Raman
- Department of NeurologyBoston University School of MedicineBostonMassachusetts
| | - Ann C. McKee
- Department of NeurologyBoston University School of MedicineBostonMassachusetts
- Boston UniversityAlzheimer's Disease and CTE CenterBoston University School of MedicineBostonMassachusetts
- Department of Veterans Affairs Medical CenterBedfordMassachusetts
- VA Boston Healthcare SystemBostonMassachusetts
- Department of Pathology and Laboratory MedicineBoston University School of MedicineBostonMassachusetts
| | - Victor E. Alvarez
- Boston UniversityAlzheimer's Disease and CTE CenterBoston University School of MedicineBostonMassachusetts
- Department of Veterans Affairs Medical CenterBedfordMassachusetts
- VA Boston Healthcare SystemBostonMassachusetts
- Department of Pathology and Laboratory MedicineBoston University School of MedicineBostonMassachusetts
| | - Jamie M. Walker
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative DiseasesUT Health San AntonioSan AntonioTexas
| | - Claudia L. Satizabal
- Framingham Heart StudyFraminghamMassachusetts
- Department of NeurologyBoston University School of MedicineBostonMassachusetts
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative DiseasesUT Health San AntonioSan AntonioTexas
| | - Jayandra J. Himali
- Framingham Heart StudyFraminghamMassachusetts
- Department of BiostatisticsBoston University School of Public HealthBostonMassachusetts
- Department of NeurologyBoston University School of MedicineBostonMassachusetts
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative DiseasesUT Health San AntonioSan AntonioTexas
| | - Thor D. Stein
- Boston UniversityAlzheimer's Disease and CTE CenterBoston University School of MedicineBostonMassachusetts
- Department of Veterans Affairs Medical CenterBedfordMassachusetts
- VA Boston Healthcare SystemBostonMassachusetts
- Department of Pathology and Laboratory MedicineBoston University School of MedicineBostonMassachusetts
| | - Alexa Beiser
- Framingham Heart StudyFraminghamMassachusetts
- Department of BiostatisticsBoston University School of Public HealthBostonMassachusetts
- Department of NeurologyBoston University School of MedicineBostonMassachusetts
| | - Sudha Seshadri
- Framingham Heart StudyFraminghamMassachusetts
- Department of NeurologyBoston University School of MedicineBostonMassachusetts
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative DiseasesUT Health San AntonioSan AntonioTexas
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Analysis of the Relationship between Type II Diabetes Mellitus and Parkinson's Disease: A Systematic Review. PARKINSONS DISEASE 2019; 2019:4951379. [PMID: 31871617 PMCID: PMC6906831 DOI: 10.1155/2019/4951379] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Revised: 10/01/2019] [Accepted: 11/06/2019] [Indexed: 12/31/2022]
Abstract
In the early sixties, a discussion started regarding the association between Parkinson's disease (PD) and type II diabetes mellitus (T2DM). Today, this potential relationship is still a matter of debate. This review aims to analyze both diseases concerning causal relationships and treatments. A total of 104 articles were found, and studies on animal and “in vitro” models showed that T2DM causes neurological alterations that may be associated with PD, such as deregulation of the dopaminergic system, a decrease in the expression of peroxisome proliferator-activated receptor-gamma coactivator-1α (PGC-1α), an increase in the expression of phosphoprotein enriched in diabetes/phosphoprotein enriched in astrocytes 15 (PED/PEA-15), and neuroinflammation, as well as acceleration of the formation of alpha-synuclein amyloid fibrils. In addition, clinical studies described that Parkinson's symptoms were notably worse after the onset of T2DM, and seven deregulated genes were identified in the DNA of T2DM and PD patients. Regarding treatment, the action of antidiabetic drugs, especially incretin mimetic agents, seems to confer certain degree of neuroprotection to PD patients. In conclusion, the available evidence on the interaction between T2DM and PD justifies more robust clinical trials exploring this interaction especially the clinical management of patients with both conditions.
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Surkova EV, Tanashyan MM, Bespalov AI, Naminov AV. [Diabetes mellitus and cognitive impairment]. TERAPEVT ARKH 2019; 91:112-118. [PMID: 32598641 DOI: 10.26442/00403660.2019.10.000362] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Indexed: 11/22/2022]
Abstract
The review discusses literature data and the results of our own studies on the effect of diabetes on cognitive functions and cerebrovascular pathology, as well as possible ptogenetic mechanisms for the implementation of this effect. The results of studies on the effects of antidiabetic drugs on cognitive function are presented.
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31
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Takenoshita N, Shimizu S, Fukasawa R, Sato T, Kanetaka H, Sakurai H, Ishii K, Hanyu H. Amyloid burden in diabetes-related dementia. Geriatr Gerontol Int 2019; 19:1066-1068. [PMID: 31602757 DOI: 10.1111/ggi.13745] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Revised: 05/29/2019] [Accepted: 06/26/2019] [Indexed: 11/30/2022]
Affiliation(s)
- Naoto Takenoshita
- Department of Geriatric Medicine, Tokyo Medical University, Tokyo, Japan
| | - Soichiro Shimizu
- Department of Geriatric Medicine, Tokyo Medical University, Tokyo, Japan
| | - Raita Fukasawa
- Department of Geriatric Medicine, Tokyo Medical University, Tokyo, Japan
| | - Tomohiko Sato
- Department of Geriatric Medicine, Tokyo Medical University, Tokyo, Japan
| | - Hidekazu Kanetaka
- Department of Geriatric Medicine, Tokyo Medical University, Tokyo, Japan
| | - Hirofumi Sakurai
- Department of Geriatric Medicine, Tokyo Medical University, Tokyo, Japan
| | - Kenji Ishii
- Research Team for Neuroimaging, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan
| | - Haruo Hanyu
- Department of Geriatric Medicine, Tokyo Medical University, Tokyo, Japan
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Borshchev YY, Uspensky YP, Galagudza MM. Pathogenetic pathways of cognitive dysfunction and dementia in metabolic syndrome. Life Sci 2019; 237:116932. [PMID: 31606384 DOI: 10.1016/j.lfs.2019.116932] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Revised: 09/27/2019] [Accepted: 10/02/2019] [Indexed: 12/13/2022]
Abstract
The prevalence of dementia worldwide is growing at an alarming rate. A number of studies and meta-analyses have provided evidence for increased risk of dementia in patients with metabolic syndrome (MS) as compared to persons without MS. However, there are some reports demonstrating a lack of association between MS and increased dementia risk. In this review, taking into account the potential role of individual MS components in the pathogenesis of MS-related cognitive dysfunction, we considered the underlying mechanisms in arterial hypertension, diabetes mellitus, dyslipidemia, and obesity. The pathogenesis of dementia in MS is multifactorial, involving both vascular injury and non-ischemic neuronal death due to neurodegeneration. Neurodegenerative and ischemic lesions do not simply coexist in the brain due to independent evolution, but rather exacerbate each other, leading to more severe consequences for cognition than would either pathology alone. In addition to universal mechanisms of cognitive dysfunction shared by all MS components, other pathogenetic pathways leading to cognitive deficits and dementia, which are specific for each component, also play a role. Examples of such component-specific pathogenetic pathways include central insulin resistance and hypoglycemia in diabetes, neuroinflammation and adipokine imbalance in obesity, as well as arteriolosclerosis and lipohyalinosis in arterial hypertension. A more detailed understanding of cognitive disorders based on the recognition of underlying molecular mechanisms will aid in the development of new methods for prevention and treatment of devastating cognitive problems in MS.
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Affiliation(s)
- Yury Yu Borshchev
- Institute of Experimental Medicine, Almazov National Medical Research Center, Saint Petersburg, Russian Federation
| | - Yury P Uspensky
- Department of Faculty Therapy, Saint Petersburg State Pediatric Medical University, Saint Petersburg, Russian Federation
| | - Michael M Galagudza
- Laboratory of Digital and Display Holography, ITMO University, Russian Federation, Saint Petersburg, Russian Federation.
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Takenoshita N, Shimizu S, Kanetaka H, Sakurai H, Suzuki R, Miwa T, Odawara M, Ishii K, Shimada H, Higuchi M, Suhara T, Hanyu H. Classification of Clinically Diagnosed Alzheimer’s Disease Associated with Diabetes Based on Amyloid and Tau PET Results. J Alzheimers Dis 2019; 71:261-271. [DOI: 10.3233/jad-190620] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Affiliation(s)
- Naoto Takenoshita
- Department of Geriatric Medicine, Tokyo Medical University, Tokyo, Japan
| | - Soichiro Shimizu
- Department of Geriatric Medicine, Tokyo Medical University, Tokyo, Japan
| | - Hidekazu Kanetaka
- Department of Geriatric Medicine, Tokyo Medical University, Tokyo, Japan
| | - Hirofumi Sakurai
- Department of Geriatric Medicine, Tokyo Medical University, Tokyo, Japan
| | - Ryo Suzuki
- Department of Diabetes, Endocrinology and Metabolism, Tokyo Medical University, Tokyo, Japan
| | - Takashi Miwa
- Department of Diabetes, Endocrinology and Metabolism, Tokyo Medical University, Tokyo, Japan
| | - Masato Odawara
- Department of Diabetes, Endocrinology and Metabolism, Tokyo Medical University, Tokyo, Japan
| | - Kenji Ishii
- Research Team for Neuroimaging, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan
| | - Hitoshi Shimada
- Department of Functional Brain Imaging Research, Clinical Research Cluster, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba-shi, Chiba, Japan
| | - Makoto Higuchi
- Department of Functional Brain Imaging Research, Clinical Research Cluster, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba-shi, Chiba, Japan
| | - Tetsuya Suhara
- Department of Functional Brain Imaging Research, Clinical Research Cluster, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba-shi, Chiba, Japan
| | - Haruo Hanyu
- Department of Geriatric Medicine, Tokyo Medical University, Tokyo, Japan
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Salivary amyloid β42 levels in mild cognitive impairment among aged diabetics. Eur Geriatr Med 2019; 10:631-638. [PMID: 34652730 DOI: 10.1007/s41999-019-00190-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Accepted: 04/03/2019] [Indexed: 01/21/2023]
Abstract
PURPOSE The underlying pathology for cognitive decline in diabetic patients is uncertain. It was originally linked to vascular causes; however, possible contribution of Alzheimer's pathology was debated. This study explored the link between salivary amyloid β42 level (as a surrogate marker for Alzheimer's pathology) and mild cognitive impairment (MCI) among old diabetic patients. METHODS A case-control study included 90 diabetic participants, ≥ 60 years of age, divided into 45 cases with MCI and 45 controls. Patients with history of head trauma, any central nervous system pathology, depression, dementia or delirium, those who received anticholinergic drugs, or refused to participate in the study were excluded. Assessment of the relationship between salivary Aβ42 level and neuropsychological performance was done using a battery consisting of the logical memory test, forward and backward digit span tests, category fluency test, go/no go test, stick design test, and second-order belief. RESULTS Salivary Aβ42 levels were higher in MCI diabetics versus controls (P = 0.014), it predicted MCI among aged diabetics, even after adjustment for confounding vascular risk factors. Salivary Aβ42 had moderate accuracy to identify MCI (area under curve = 0.654, P = 0.008). At cut-off ≥ 47.5 pg/ml, sensitivity, specificity, positive predictive value and negative predictive value were 80%, 47%, 60% and 70%, respectively. CONCLUSION Current data support that MCI in diabetics, without CNS disorders, is associated with a surrogate marker of Alzheimer's pathology.
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Lakstygal AM, de Abreu MS, Lifanov DA, Wappler-Guzzetta EA, Serikuly N, Alpsyshov ET, Wang D, Wang M, Tang Z, Yan D, Demin KA, Volgin AD, Amstislavskaya TG, Wang J, Song C, Alekseeva P, Kalueff AV. Zebrafish models of diabetes-related CNS pathogenesis. Prog Neuropsychopharmacol Biol Psychiatry 2019; 92:48-58. [PMID: 30476525 DOI: 10.1016/j.pnpbp.2018.11.016] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2018] [Revised: 11/18/2018] [Accepted: 11/22/2018] [Indexed: 12/12/2022]
Abstract
Diabetes mellitus (DM) is a common metabolic disorder that affects multiple organ systems. DM also affects brain processes, contributing to various CNS disorders, including depression, anxiety and Alzheimer's disease. Despite active research in humans, rodent models and in-vitro systems, the pathogenetic link between DM and brain disorders remains poorly understood. Novel translational models and new model organisms are therefore essential to more fully study the impact of DM on CNS. The zebrafish (Danio rerio) is a powerful novel model species to study metabolic and CNS disorders. Here, we discuss how DM alters brain functions and behavior in zebrafish, and summarize their translational relevance to studying DM-related CNS pathogenesis in humans. We recognize the growing utility of zebrafish models in translational DM research, as they continue to improve our understanding of different brain pathologies associated with DM, and may foster the discovery of drugs that prevent or treat these diseases.
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Affiliation(s)
- Anton M Lakstygal
- Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg, Russia; Laboratory of Preclinical Bioscreening, Granov Russian Research Center of Radiology and Surgical Technologies, Ministry of Healthcare of Russian Federation, Pesochny, Russia
| | - Murilo S de Abreu
- Bioscience Institute, University of Passo Fundo (UPF), Passo Fundo, RS, Brazil; The International Zebrafish Neuroscience Research Consortium (ZNRC), Slidell, LA, USA
| | - Dmitry A Lifanov
- Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg, Russia; Laboratory of Preclinical Bioscreening, Granov Russian Research Center of Radiology and Surgical Technologies, Ministry of Healthcare of Russian Federation, Pesochny, Russia; School of Pharmacy, Southwest University, Chongqing, China
| | | | - Nazar Serikuly
- School of Pharmacy, Southwest University, Chongqing, China
| | | | - DongMei Wang
- School of Pharmacy, Southwest University, Chongqing, China
| | - MengYao Wang
- School of Pharmacy, Southwest University, Chongqing, China
| | - ZhiChong Tang
- School of Pharmacy, Southwest University, Chongqing, China
| | - DongNi Yan
- School of Pharmacy, Southwest University, Chongqing, China
| | - Konstantin A Demin
- Institute of Experimental Medicine, Almazov National Medical Research Centre, Ministry of Healthcare of Russian Federation, St. Petersburg, Russia; Laboratory of Biological Psychiatry, Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg, Russia
| | - Andrey D Volgin
- Scientific Research Institute of Physiology and Basic Medicine, Novosibirsk, Russia
| | | | - JiaJia Wang
- Institute for Marine Drugs and Nutrition, Guangdong Ocean University, Zhanjiang, China; Marine Medicine Development Center, Shenzhen Institute, Guangdong Ocean University, Shenzhen, China
| | - Cai Song
- Institute for Marine Drugs and Nutrition, Guangdong Ocean University, Zhanjiang, China; Marine Medicine Development Center, Shenzhen Institute, Guangdong Ocean University, Shenzhen, China
| | - Polina Alekseeva
- Institute of Experimental Medicine, Almazov National Medical Research Centre, Ministry of Healthcare of Russian Federation, St. Petersburg, Russia
| | - Allan V Kalueff
- School of Pharmacy, Southwest University, Chongqing, China; Institute of Experimental Medicine, Almazov National Medical Research Centre, Ministry of Healthcare of Russian Federation, St. Petersburg, Russia; Laboratory of Biological Psychiatry, Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg, Russia; Scientific Research Institute of Physiology and Basic Medicine, Novosibirsk, Russia; Ural Federal University, Ekaterinburg, Russia; Russian Scientific Center of Radiology and Surgical Technologies, Ministry of Healthcare of Russian Federation, Pesochny, Russia; ZENEREI Research Center, Slidell, LA, USA.
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Latimer CS, Burke BT, Liachko NF, Currey HN, Kilgore MD, Gibbons LE, Henriksen J, Darvas M, Domoto-Reilly K, Jayadev S, Grabowski TJ, Crane PK, Larson EB, Kraemer BC, Bird TD, Keene CD. Resistance and resilience to Alzheimer's disease pathology are associated with reduced cortical pTau and absence of limbic-predominant age-related TDP-43 encephalopathy in a community-based cohort. Acta Neuropathol Commun 2019; 7:91. [PMID: 31174609 PMCID: PMC6556006 DOI: 10.1186/s40478-019-0743-1] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Accepted: 05/16/2019] [Indexed: 02/07/2023] Open
Abstract
Alzheimer's disease neuropathologic change (ADNC) is defined by progressive accumulation of β-amyloid plaques and hyperphosphorylated tau (pTau) neurofibrillary tangles across diverse regions of brain. Non-demented individuals who reach advanced age without significant ADNC are considered to be resistant to AD, while those burdened with ADNC are considered to be resilient. Understanding mechanisms underlying ADNC resistance and resilience may provide important clues to treating and/or preventing AD associated dementia. ADNC criteria for resistance and resilience are not well-defined, so we developed stringent pathologic cutoffs for non-demented subjects to eliminate cases of borderline pathology. We identified 14 resistant (85+ years old, non-demented, Braak stage ≤ III, CERAD absent) and 7 resilient (non-demented, Braak stage VI, CERAD frequent) individuals out of 684 autopsies from the Adult Changes in Thought study, a long-standing community-based cohort. We matched each resistant or resilient subject to a subject with dementia and severe ADNC (Braak stage VI, CERAD frequent) by age, sex, year of death, and post-mortem interval. We expanded the neuropathologic evaluation to include quantitative approaches to assess neuropathology and found that resilient participants had lower neocortical pTau burden despite fulfilling criteria for Braak stage VI. Moreover, limbic-predominant age-related TDP-43 encephalopathy neuropathologic change (LATE-NC) was robustly associated with clinical dementia and was more prevalent in cases with high pTau burden, supporting the notion that resilience to ADNC may depend, in part, on resistance to pTDP-43 pathology. To probe for interactions between tau and TDP-43, we developed a C. elegans model of combined human (h) Tau and TDP-43 proteotoxicity, which exhibited a severe degenerative phenotype most compatible with a synergistic, rather than simply additive, interaction between hTau and hTDP-43 neurodegeneration. Pathways that underlie this synergy may present novel therapeutic targets for the prevention and treatment of AD.
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Affiliation(s)
- Caitlin S Latimer
- Division of Neuropathology, Department of Pathology, University of Washington, Seattle, WA, 98104, USA.
| | - Bridget T Burke
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Nicole F Liachko
- Geriatrics Research Education and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, WA, USA
- Division of Gerontology and Geriatric Medicine, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Heather N Currey
- Geriatrics Research Education and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, WA, USA
| | - Mitchell D Kilgore
- Division of Neuropathology, Department of Pathology, University of Washington, Seattle, WA, 98104, USA
| | - Laura E Gibbons
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Jonathan Henriksen
- Division of Neuropathology, Department of Pathology, University of Washington, Seattle, WA, 98104, USA
| | - Martin Darvas
- Division of Neuropathology, Department of Pathology, University of Washington, Seattle, WA, 98104, USA
| | | | - Suman Jayadev
- Department of Neurology, University of Washington, Seattle, Washington, USA
| | - Tom J Grabowski
- Department of Neurology, University of Washington, Seattle, Washington, USA
- Deparment of Radiology, University of Washington, Seattle, Washington, USA
| | - Paul K Crane
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Eric B Larson
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Brian C Kraemer
- Geriatrics Research Education and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, WA, USA
- Division of Gerontology and Geriatric Medicine, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington, USA
| | - Thomas D Bird
- Geriatrics Research Education and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, WA, USA
- Department of Neurology, University of Washington, Seattle, Washington, USA
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA, USA
| | - C Dirk Keene
- Division of Neuropathology, Department of Pathology, University of Washington, Seattle, WA, 98104, USA
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Abstract
Given current lack of therapies for dementia, there is substantial interest in identifying potentially modifiable risk factors. Clarifying the potential of these factors to mitigate risk as well as determining the mechanisms that link these factors to dementia is expected to lead to new approaches for both preventing and treating neurodegenerative diseases such as Alzheimer disease. Modifiable factors include cardiovascular risks as well as related lifestyle-centric factors such as diet and physical activity (reviewed in this issue). Given reports that type 2 diabetes and associated features increase the risk for developing dementia, there has been tremendous interest in exploring whether use of antidiabetic medications may impact the risk of dementia, as well as whether antidiabetic medications could be used to prevent or treat dementia, particularly Alzheimer disease. This review will briefly cover the known links between diabetes and risk for dementia, the state of evidence linking antidiabetic treatments with either protection against dementia or possibly increased risk for cognitive dysfunction, and provide a brief overview of what has been learned from clinical trials testing antidiabetic treatments in Alzheimer disease.
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Díaz-Gerevini GT, Daín A, Pasqualini ME, López CB, Eynard AR, Repossi G. Diabetic encephalopathy: beneficial effects of supplementation with fatty acids ω3 and nordihydroguaiaretic acid in a spontaneous diabetes rat model. Lipids Health Dis 2019; 18:43. [PMID: 30736810 PMCID: PMC6368734 DOI: 10.1186/s12944-018-0938-7] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2018] [Accepted: 11/30/2018] [Indexed: 02/07/2023] Open
Abstract
Background Diabetic encephalopathy is a chronic complications of diabetes mellitus that affects the central nervous system. We evaluated the effect of ω3 and ω6 polyunsaturated fatty acids (PUFAs) supplementation plus the antioxidant agent nordihydroguaiaretic acid (NDGA) on the etiopathology of diabetic encephalopathy in eSS rats, a spontaneous model of type 2 diabetes. Methods One hundred twenty spontaneous diabetic eSS male rats and 38 non-diabetic Wistar, used as healthy control, received monthly by intraperitoneal route, ω3 or ω6 PUFA (6.25 mg/kg) alone or plus NDGA (1.19 mg/kg) for 12 months. Diabetic rats had a worse performance in behavioural Hole-Board test. Histopathological analysis confirmed lesions in diabetic rats brain tissues. We also detected low expression of synaptophysin, a protein linked to release of neurotransmitters, by immunohistochemically techniques in eSS rats brain. Biochemical and histopathological studies of brain were performed at 12th month. Biochemical analysis showed altered parameters related to metabolism. High levels of markers of oxidative stress and inflammation were detected in plasma and brain tissues. Data were analysed by ANOVA test and paired t test was used by comparison of measurements of the same parameter at different times. Results The data obtained in this work showed that behavioural, biochemical and morphological alterations observed in eSS rats are compatible with previously reported indices in diabetic encephalopathy and are associated with increased glucolipotoxicity, chronic low-grade inflammation and oxidative stress burden. Experimental treatments assayed modulated the values of studied parameters. Conclusions The treatments tested with ω3 or ω3 plus NDGA showed improvement in the values of the studied parameters in eSS diabetic rats. These observations may form the basis to help in prevent and manage the diabetic encephalopathy. Electronic supplementary material The online version of this article (10.1186/s12944-018-0938-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Gustavo Tomás Díaz-Gerevini
- Biología Celular, Histología y Embriología. Facultad de Ciencias Médicas, INICSA CONICET-Universidad Nacional de Córdoba, Córdoba, Argentina.,Geriatric Center "San Ricardo Pampuri", Villa Carlos Paz and Gerontology Committee, Argentine Society of Diabetes, Córdoba, Argentina
| | - Alejandro Daín
- Biología Celular, Histología y Embriología. Facultad de Ciencias Médicas, INICSA CONICET-Universidad Nacional de Córdoba, Córdoba, Argentina
| | - María Eugenia Pasqualini
- Biología Celular, Histología y Embriología. Facultad de Ciencias Médicas, INICSA CONICET-Universidad Nacional de Córdoba, Córdoba, Argentina
| | - Cristina B López
- Biología Celular, Histología y Embriología. Facultad de Ciencias Médicas, INICSA CONICET-Universidad Nacional de Córdoba, Córdoba, Argentina.,Cátedra de Histología y Embriología, Universidad Nacional de La Rioja (UNLaR), La Rioja, Argentina
| | - Aldo R Eynard
- Biología Celular, Histología y Embriología. Facultad de Ciencias Médicas, INICSA CONICET-Universidad Nacional de Córdoba, Córdoba, Argentina
| | - Gastón Repossi
- Biología Celular, Histología y Embriología. Facultad de Ciencias Médicas, INICSA CONICET-Universidad Nacional de Córdoba, Córdoba, Argentina.
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39
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Diabetes and Alzheimer's Disease: A Link not as Simple as it Seems. Neurochem Res 2018; 44:1271-1278. [PMID: 30523576 DOI: 10.1007/s11064-018-2690-9] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2018] [Revised: 11/11/2018] [Accepted: 11/28/2018] [Indexed: 02/07/2023]
Abstract
Type 2 diabetes mellitus is associated with an increased risk to develop Alzheimer disease, however, the underlying mechanisms for this association are still unclear. In this review we will provide a critical overview of the major findings coming from clinical studies and animal models.
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40
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Abstract
Cognitive dysfunction is increasingly recognized as an important comorbidity of diabetes mellitus. Different stages of diabetes-associated cognitive dysfunction exist, each with different cognitive features, affected age groups and prognoses and probably with different underlying mechanisms. Relatively subtle, slowly progressive cognitive decrements occur in all age groups. More severe stages, particularly mild cognitive impairment and dementia, with progressive deficits, occur primarily in older individuals (>65 years of age). Patients in the latter group are the most relevant for patient management and are the focus of this Review. Here, we review the evolving insights from studies on risk factors, brain imaging and neuropathology, which provide important clues on mechanisms of both the subtle cognitive decrements and the more severe stages of cognitive dysfunction. In the majority of patients, the cognitive phenotype is probably defined by multiple aetiologies. Although both the risk of clinically diagnosed Alzheimer disease and that of vascular dementia is increased in association with diabetes, the cerebral burden of the prototypical pathologies of Alzheimer disease (such as neurofibrillary tangles and neuritic plaques) is not. A major challenge for researchers is to pinpoint from the spectrum of diabetes-related disease processes those that affect the brain and contribute to development of dementia beyond the pathologies of Alzheimer disease. Observations from experimental models can help to meet that challenge, but this requires further improving the synergy between experimental and clinical scientists. The development of targeted treatment and preventive strategies will therefore depend on these translational efforts.
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Affiliation(s)
- Geert Jan Biessels
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, Netherlands.
| | - Florin Despa
- Department of Pharmacology and Nutritional Sciences and Department of Neurology, University of Kentucky, Lexington, KY, USA
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41
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Pruzin JJ, Nelson PT, Abner EL, Arvanitakis Z. Review: Relationship of type 2 diabetes to human brain pathology. Neuropathol Appl Neurobiol 2018; 44:347-362. [PMID: 29424027 PMCID: PMC5980704 DOI: 10.1111/nan.12476] [Citation(s) in RCA: 51] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2017] [Accepted: 01/12/2018] [Indexed: 12/14/2022]
Abstract
Type 2 diabetes (T2D) and Alzheimer's disease (AD) are both highly prevalent diseases worldwide, and each is associated with high-morbidity and high-mortality. Numerous clinical studies have consistently shown that T2D confers a two-fold increased risk for a dementia, including dementia attributable to AD. Yet, the mechanisms underlying this relationship, especially nonvascular mechanisms, remain debated. Cerebral vascular disease (CVD) is likely to be playing a role. But increased AD neuropathologic changes (ADNC), specifically neuritic amyloid plaques (AP) and neurofibrillary tangles (NFT), are also posited mechanisms. The clinicopathological studies to date demonstrate T2D to be consistently associated with infarcts, particularly subcortical lacunar infarcts, but not ADNC, suggesting the association of T2D with dementia may largely be mediated through CVD. Furthermore, growing interest exists in insulin resistance (IR), particularly IR within the brain itself, which may be an associated but distinct phenomenon from T2D, and possibly itself associated with ADNC. Other mechanisms largely related to protein processing and efflux in the central nervous system with altered function in T2D may also be involved. Such mechanisms include islet amyloid polypeptide (or amylin) deposition, co-localized with beta-amyloid and found in more abundance in the AD temporal cortex, blood-brain barrier breakdown and dysfunction, potentially related to pericyte degeneration, and disturbance of brain lymphatics, both in the glial lymphatic system and the newly discovered discrete central nervous system lymph vessels. Medical research is ongoing to further disentangle the relationship of T2D to dementia in the ageing human brain.
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Affiliation(s)
- Jeremy J. Pruzin
- Rush Alzheimer’s Disease Center, Chicago, IL
- Dept of Neurological Sciences, Rush University Medical Center, Chicago, IL
| | - Peter T. Nelson
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY
- Department of Pathology, University of Kentucky, Lexington, KY
| | - Erin L. Abner
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY
- Department of Epidemiology, University of Kentucky, Lexington, KY
| | - Zoe Arvanitakis
- Rush Alzheimer’s Disease Center, Chicago, IL
- Dept of Neurological Sciences, Rush University Medical Center, Chicago, IL
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42
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Dos Santos Matioli MNP, Suemoto CK, Rodriguez RD, Farias DS, da Silva MM, Leite REP, Ferretti-Rebustini REL, Farfel JM, Pasqualucci CA, Jacob Filho W, Arvanitakis Z, Naslavsky MS, Zatz M, Grinberg LT, Nitrini R. Diabetes is Not Associated with Alzheimer's Disease Neuropathology. J Alzheimers Dis 2018; 60:1035-1043. [PMID: 28984587 DOI: 10.3233/jad-170179] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
BACKGROUND Previous evidence linking diabetes to Alzheimer's disease (AD) neuropathology is mixed and scant data are available from low- and middle-income countries. OBJECTIVE To investigate the association between diabetes and AD neuropathology in a large autopsy study of older Brazilian adults. METHODS In this cross-sectional study, diabetes was defined by diagnosis during life or use of antidiabetic medication. A standardized neuropathological examination was performed using immunohistochemistry. The associations of diabetes with Consortium to Establish and Registry for Alzheimer Disease (CERAD) scores for neuritic plaques and Braak-Braak (BB) scores for neurofibrillary tangles were investigated using multivariable ordinal logistic regression. We investigated effect modification of education, race, and APOE on these associations. RESULTS Among 1,037 subjects (mean age = 74.4±11.5 y; mean education = 4.0±3.7 y; 48% male, 61% White), diabetes was present in 279 subjects. Diabetes was not associated with BB (OR = 1.12, 95% CI = 0.81-1.54, p = 0.48) or with CERAD (OR = 0.97, 95% CI = 0.68-1.38, p = 0.86) scores on analyses adjusted for sociodemographic and clinical variables. We observed effect modification by the APOE allele ɛ4 on the association between diabetes mellitus and BB scores. CONCLUSION No evidence of an association between diabetes and AD neuropathology was found in a large sample of Brazilians; however, certain subgroups, such as APOE allele ɛ4 carriers, had higher odds of accumulation of neurofibrillary tangles.
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Affiliation(s)
| | - Claudia Kimie Suemoto
- Division of Geriatrics, University of São Paulo Medical School, São Paulo, Brazil.,Brain Bank of the Brazilian Aging Brain Study Group, University of São Paulo Medical School, São Paulo, Brazil
| | - Roberta Diehl Rodriguez
- Department of Neurology, University of São Paulo Medical School, São Paulo, Brazil.,Brain Bank of the Brazilian Aging Brain Study Group, University of São Paulo Medical School, São Paulo, Brazil
| | - Daniela Souza Farias
- Brain Bank of the Brazilian Aging Brain Study Group, University of São Paulo Medical School, São Paulo, Brazil
| | - Magnólia Moreira da Silva
- Brain Bank of the Brazilian Aging Brain Study Group, University of São Paulo Medical School, São Paulo, Brazil
| | - Renata Elaine Paraizo Leite
- Division of Geriatrics, University of São Paulo Medical School, São Paulo, Brazil.,Brain Bank of the Brazilian Aging Brain Study Group, University of São Paulo Medical School, São Paulo, Brazil
| | | | - José Marcelo Farfel
- Division of Geriatrics, University of São Paulo Medical School, São Paulo, Brazil.,Brain Bank of the Brazilian Aging Brain Study Group, University of São Paulo Medical School, São Paulo, Brazil
| | - Carlos Augusto Pasqualucci
- Brain Bank of the Brazilian Aging Brain Study Group, University of São Paulo Medical School, São Paulo, Brazil
| | - Wilson Jacob Filho
- Division of Geriatrics, University of São Paulo Medical School, São Paulo, Brazil.,Brain Bank of the Brazilian Aging Brain Study Group, University of São Paulo Medical School, São Paulo, Brazil
| | - Zoe Arvanitakis
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Michel Satya Naslavsky
- Human Genome and Stem Cell Center, Biosciences Institute, University of São Paulo, São Paulo, Brazil
| | - Mayana Zatz
- Human Genome and Stem Cell Center, Biosciences Institute, University of São Paulo, São Paulo, Brazil
| | - Lea Tenenholz Grinberg
- Brain Bank of the Brazilian Aging Brain Study Group, University of São Paulo Medical School, São Paulo, Brazil.,Department of Neurology, University of California, San Francisco, CA, USA
| | - Ricardo Nitrini
- Department of Neurology, University of São Paulo Medical School, São Paulo, Brazil.,Brain Bank of the Brazilian Aging Brain Study Group, University of São Paulo Medical School, São Paulo, Brazil
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43
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Franke SIR, Molz P, Mai C, Ellwanger JH, Zenkner FF, Horta JA, Prá D. High consumption of sucrose induces DNA damage in male Wistar rats. AN ACAD BRAS CIENC 2018; 89:2657-2662. [PMID: 29267792 DOI: 10.1590/0001-3765201720160659] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2016] [Accepted: 01/11/2017] [Indexed: 11/22/2022] Open
Abstract
The purpose of this study was to determine the effects of the high consumption of sucrose on the levels of DNA damage in blood, hippocampus and bone marrow of rats. Male Wistar rats were treated for 4 months with sucrose (10% for 60 initial days and 34% for the following 60 days) in drinking water, and then, glycemia and glycated hemoglobin (A1C) were measured. Levels of DNA damage in blood and hippocampus were evaluated by the comet assay. The micronucleus test was used to evaluate chromosomal damages in the bone marrow. The sucrose treatment significantly increased (p<0.01) the serum glucose levels (~20%) and A1C (~60%). The level of primary DNA damage was significantly increased (p<0.05) in hippocampal cells (~60%) but not in peripheral blood leukocytes (p>0.05). Additionally, it was observed a significative increase (p<0.05) in the markers of chromosomal breaks/losses in bone marrow, as indicated by the micronucleus test. This is the first study that evaluated DNA damage induced by high sucrose concentration in the hippocampus and bone marrow of rats. Sucrose-induced DNA damage was observed in both tissues. However, the mechanism of sucrose toxicity on DNA remains unknown.
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Affiliation(s)
- Silvia I R Franke
- Programa de Pós-Graduação em Promoção da Saúde, Departamento de Educação Física e Saúde, Universidade de Santa Cruz do Sul/UNISC, Av. Independência, 2293, Sala 4206, Universitário, 96815-900 Santa Cruz do Sul, RS, Brazil.,Laboratório de Nutrição Experimental, Departamento de Educação Física e Saúde, Universidade de Santa Cruz do Sul/UNISC, Av. Independência, 2293, Sala 3031, Universitário, 96815-900 Santa Cruz do Sul, RS, Brazil
| | - Patrícia Molz
- Programa de Pós-Graduação em Promoção da Saúde, Departamento de Educação Física e Saúde, Universidade de Santa Cruz do Sul/UNISC, Av. Independência, 2293, Sala 4206, Universitário, 96815-900 Santa Cruz do Sul, RS, Brazil.,Laboratório de Nutrição Experimental, Departamento de Educação Física e Saúde, Universidade de Santa Cruz do Sul/UNISC, Av. Independência, 2293, Sala 3031, Universitário, 96815-900 Santa Cruz do Sul, RS, Brazil.,Programa de Pós-Graduação em Medicina e Ciências da Saúde, Faculdade de Medicina, Pontifícia Universidade Católica do Rio Grande do Sul/PUCRS, Av. Ipiranga, 6681, Partenon, 90619-900 Porto Alegre, RS, Brazil
| | - Camila Mai
- Laboratório de Nutrição Experimental, Departamento de Educação Física e Saúde, Universidade de Santa Cruz do Sul/UNISC, Av. Independência, 2293, Sala 3031, Universitário, 96815-900 Santa Cruz do Sul, RS, Brazil
| | - Joel H Ellwanger
- Programa de Pós-Graduação em Genética e Biologia Molecular, Departamento de Genética, Universidade Federal do Rio Grande do Sul/UFRGS, Av. Bento Gonçalves, 9500, Prédio 43323M, 91501-970 Porto Alegre, RS, Brazil
| | - Fernanda F Zenkner
- Programa de Pós-Graduação em Genética e Biologia Molecular, Departamento de Genética, Universidade Federal do Rio Grande do Sul/UFRGS, Av. Bento Gonçalves, 9500, Prédio 43323M, 91501-970 Porto Alegre, RS, Brazil
| | - Jorge A Horta
- Programa de Pós-Graduação em Promoção da Saúde, Departamento de Educação Física e Saúde, Universidade de Santa Cruz do Sul/UNISC, Av. Independência, 2293, Sala 4206, Universitário, 96815-900 Santa Cruz do Sul, RS, Brazil.,Departamento de Biologia e Farmácia, Universidade de Santa Cruz do Sul/UNISC, Av. Independência, 2293, Sala 3529, Universitário, 96815-900 Santa Cruz do Sul, RS, Brazil
| | - Daniel Prá
- Programa de Pós-Graduação em Promoção da Saúde, Departamento de Educação Física e Saúde, Universidade de Santa Cruz do Sul/UNISC, Av. Independência, 2293, Sala 4206, Universitário, 96815-900 Santa Cruz do Sul, RS, Brazil.,Laboratório de Nutrição Experimental, Departamento de Educação Física e Saúde, Universidade de Santa Cruz do Sul/UNISC, Av. Independência, 2293, Sala 3031, Universitário, 96815-900 Santa Cruz do Sul, RS, Brazil.,Departamento de Biologia e Farmácia, Universidade de Santa Cruz do Sul/UNISC, Av. Independência, 2293, Sala 3529, Universitário, 96815-900 Santa Cruz do Sul, RS, Brazil
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Benedict C, Grillo CA. Insulin Resistance as a Therapeutic Target in the Treatment of Alzheimer's Disease: A State-of-the-Art Review. Front Neurosci 2018; 12:215. [PMID: 29743868 PMCID: PMC5932355 DOI: 10.3389/fnins.2018.00215] [Citation(s) in RCA: 61] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2017] [Accepted: 03/19/2018] [Indexed: 01/10/2023] Open
Abstract
Research in animals and humans has shown that type 2 diabetes and its prodromal state, insulin resistance, promote major pathological hallmarks of Alzheimer's disease (AD), such as the formation of amyloid plaques and neurofibrillary tangles (NFT). Worrisomely, dysregulated amyloid beta (Aβ) metabolism has also been shown to promote central nervous system insulin resistance; although the role of tau metabolism remains controversial. Collectively, as proposed in this review, these findings suggest the existence of a mechanistic interplay between AD pathogenesis and disrupted insulin signaling. They also provide strong support for the hypothesis that pharmacologically restoring brain insulin signaling could represent a promising strategy to curb the development and progression of AD. In this context, great hopes have been attached to the use of intranasal insulin. This drug delivery method increases cerebrospinal fluid concentrations of insulin in the absence of peripheral side effects, such as hypoglycemia. With this in mind, the present review will also summarize current knowledge on the efficacy of intranasal insulin to mitigate major pathological symptoms of AD, i.e., cognitive impairment and deregulation of Aβ and tau metabolism.
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Affiliation(s)
| | - Claudia A Grillo
- Department of Pharmacology, Physiology and Neuroscience, University of South Carolina-School of Medicine, Columbia, SC, United States
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45
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Brain insulin resistance in type 2 diabetes and Alzheimer disease: concepts and conundrums. Nat Rev Neurol 2018; 14:168-181. [PMID: 29377010 DOI: 10.1038/nrneurol.2017.185] [Citation(s) in RCA: 833] [Impact Index Per Article: 138.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Considerable overlap has been identified in the risk factors, comorbidities and putative pathophysiological mechanisms of Alzheimer disease and related dementias (ADRDs) and type 2 diabetes mellitus (T2DM), two of the most pressing epidemics of our time. Much is known about the biology of each condition, but whether T2DM and ADRDs are parallel phenomena arising from coincidental roots in ageing or synergistic diseases linked by vicious pathophysiological cycles remains unclear. Insulin resistance is a core feature of T2DM and is emerging as a potentially important feature of ADRDs. Here, we review key observations and experimental data on insulin signalling in the brain, highlighting its actions in neurons and glia. In addition, we define the concept of 'brain insulin resistance' and review the growing, although still inconsistent, literature concerning cognitive impairment and neuropathological abnormalities in T2DM, obesity and insulin resistance. Lastly, we review evidence of intrinsic brain insulin resistance in ADRDs. By expanding our understanding of the overlapping mechanisms of these conditions, we hope to accelerate the rational development of preventive, disease-modifying and symptomatic treatments for cognitive dysfunction in T2DM and ADRDs alike.
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46
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Zhang J, Liu Z, Li Z, Wang Y, Chen Y, Li X, Chen K, Shu N, Zhang Z. Disrupted White Matter Network and Cognitive Decline in Type 2 Diabetes Patients. J Alzheimers Dis 2018; 53:185-95. [PMID: 27163818 DOI: 10.3233/jad-160111] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Type 2 diabetes mellitus is accompanied by cognitive impairment and is associated with an increased risk of dementia. Damage to brain structures such as white matter network disruption may underlie this cognitive disturbance. In the present study, 886 non-diabetic and 163 type 2 diabetic participants completed a battery of neuropsychological tests. Among them, 38 diabetic patients and 34 non-diabetic participants that matched the patients for age/sex/education received a magnetic resonance imaging-based diffusion tensor imaging. Then we calculated the topological properties of the white matter network using a graph theoretical method to investigate network efficiency differences between groups. We found that type 2 diabetic patients had inferior performances compared to the non-diabetic controls, in several cognitive domains involving executive function, spatial processing, memory, and attention. We also found that diabetic patients exhibited a disrupted topological organization of the white matter network (including the global network properties, i.e., network strength, global efficiency, local efficiency and shortest path length, and the nodal efficiency of the right rolandic operculum) in the brain. Moreover, those global network properties and the nodal efficiency of the right rolandic operculum both had positive correlations with executive function in the patient group. The results suggest that type 2 diabetes mellitus leads to an alteration in the topological organization of the cortical white matter network and this alteration may account for the observed cognitive decline.
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Affiliation(s)
- Junying Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, P. R. China.,BABRI Centre, Beijing Normal University, Beijing, P. R. China
| | - Zhen Liu
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, P. R. China.,BABRI Centre, Beijing Normal University, Beijing, P. R. China
| | - Zixiao Li
- Tiantan Clinical Trial and Research Center for Stroke, Department of Neurology, Beijing TianTan Hospital, Capital Medical University, Beijing, P. R. China
| | - Yunxia Wang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, P. R. China.,BABRI Centre, Beijing Normal University, Beijing, P. R. China
| | - Yaojing Chen
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, P. R. China.,BABRI Centre, Beijing Normal University, Beijing, P. R. China
| | - Xin Li
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, P. R. China.,BABRI Centre, Beijing Normal University, Beijing, P. R. China
| | - Kewei Chen
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, P. R. China.,Banner Alzheimer's Institute, Phoenix, AZ, USA
| | - Ni Shu
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, P. R. China.,BABRI Centre, Beijing Normal University, Beijing, P. R. China
| | - Zhanjun Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, P. R. China.,BABRI Centre, Beijing Normal University, Beijing, P. R. China
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47
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Wijesekara N, Gonçalves RA, De Felice FG, Fraser PE. Impaired peripheral glucose homeostasis and Alzheimer's disease. Neuropharmacology 2017; 136:172-181. [PMID: 29169962 DOI: 10.1016/j.neuropharm.2017.11.027] [Citation(s) in RCA: 56] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2017] [Revised: 11/12/2017] [Accepted: 11/16/2017] [Indexed: 12/19/2022]
Abstract
Alzheimer's disease (AD) is the most common type of dementia. Recent studies suggest that metabolic disturbances, particularly type 2 diabetes (T2D) increase the risk of cognitive decline and AD. AD is also a risk factor for T2D, and a growing body of evidence indicates that these diseases are connected both at clinical and molecular levels. In T2D, peripheral insulin resistance, hyperglycemia and eventually insulin deficiency develops, leading to an overall decline in tissue health. More recently, brain insulin resistance has been shown to be a key feature of AD that is linked to neuronal dysfunction and cognitive impairment. Furthermore, both AD and T2D are amyloidogenic diseases, with abnormal aggregation of amyloid-β peptide (Aβ) and islet amyloid polypeptide (IAPP) respectively contributing to cellular death and disease pathogenesis. Emerging data suggests that Aβ may have peripheral effects including its co-deposition in the pancreas. In this review, we discuss how peripheral effects of Aβ and metabolic disturbances may impact AD pathogenesis. This article is part of the Special Issue entitled 'Metabolic Impairment as Risk Factors for Neurodegenerative Disorders.'
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Affiliation(s)
- Nadeeja Wijesekara
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Krembil Discovery Tower, 60 Leonard Avenue, Toronto, Ontario, M5T 2S8, Canada.
| | - Rafaella Araujo Gonçalves
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Krembil Discovery Tower, 60 Leonard Avenue, Toronto, Ontario, M5T 2S8, Canada; Institute of Medical Biochemistry Leopoldo de Meis, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil
| | - Fernanda G De Felice
- Institute of Medical Biochemistry Leopoldo de Meis, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil; Centre for Neuroscience Studies, Department of Biomedical and Molecular Sciences, Queen's University, Kingston, Ontario, K7L 3N6, Canada
| | - Paul E Fraser
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Krembil Discovery Tower, 60 Leonard Avenue, Toronto, Ontario, M5T 2S8, Canada; Department of Medical Biophysics, University of Toronto, Canada.
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48
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Matioli MNPDS, Suemoto CK, Rodriguez RD, Farias DS, da Silva MM, Leite REP, Ferretti-Rebustini REL, Pasqualucci CA, Jacob W, Grinberg LT, Nitrini R. Association between diabetes and causes of dementia: Evidence from a clinicopathological study. Dement Neuropsychol 2017; 11:406-412. [PMID: 29354221 PMCID: PMC5769999 DOI: 10.1590/1980-57642016dn11-040010] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2017] [Accepted: 11/16/2017] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Diabetes mellitus is a risk factor for dementia, especially for vascular dementia (VaD), but there is no consensus on diabetes as a risk factor for Alzheimer's disease (AD) and other causes of dementia. OBJECTIVE To explore the association between diabetes and the neuropathological etiology of dementia in a large autopsy study. METHODS Data were collected from the participants of the Brain Bank of the Brazilian Aging Brain Study Group between 2004 and 2015. Diagnosis of diabetes was reported by the deceased's next-of-kin. Clinical dementia was established when CDR ≥ 1 and IQCODE > 3.41. Dementia etiology was determined by neuropathological examination using immunohistochemistry. The association of diabetes with odds of dementia was investigated using multivariate logistic regression. RESULTS We included 1,037 subjects and diabetes was present in 279 participants (27%). The prevalence of dementia diagnosis was similar in diabetics (29%) and non-diabetics (27%). We found no association between diabetes and dementia (OR = 1.22; 95%CI = 0.81-1.82; p = 0.34) on the multivariate analysis. AD was the main cause of dementia in both groups, while VaD was the second-most-frequent cause in diabetics. Other mixed dementia was the second-most-common cause of dementia and more frequent among non-diabetics (p = 0.03). CONCLUSION Diabetes was not associated with dementia in this large clinicopathological study.
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Affiliation(s)
| | - Claudia Kimie Suemoto
- Division of Geriatrics, University of São Paulo Medical School, São Paulo, SP, Brazil
- Aging Brain Study Group from the University of São Paulo Medical School - LIM/22, São Paulo, SP, Brazil
| | - Roberta Diehl Rodriguez
- Department of Neurology, University of São Paulo Medical School , São Paulo, SP, Brazil
- Aging Brain Study Group from the University of São Paulo Medical School - LIM/22, São Paulo, SP, Brazil
| | - Daniela Souza Farias
- Aging Brain Study Group from the University of São Paulo Medical School - LIM/22, São Paulo, SP, Brazil
| | - Magnólia Moreira da Silva
- Aging Brain Study Group from the University of São Paulo Medical School - LIM/22, São Paulo, SP, Brazil
| | - Renata Elaine Paraizo Leite
- Division of Geriatrics, University of São Paulo Medical School, São Paulo, SP, Brazil
- Aging Brain Study Group from the University of São Paulo Medical School - LIM/22, São Paulo, SP, Brazil
| | - Renata Eloah Lucena Ferretti-Rebustini
- Aging Brain Study Group from the University of São Paulo Medical School - LIM/22, São Paulo, SP, Brazil
- Medical-surgical Nursing Department, University of São Paulo School of Nursing, São Paulo, SP, Brazil
| | | | - Wilson Jacob
- Division of Geriatrics, University of São Paulo Medical School, São Paulo, SP, Brazil
- Aging Brain Study Group from the University of São Paulo Medical School - LIM/22, São Paulo, SP, Brazil
| | - Lea Tenenholz Grinberg
- Aging Brain Study Group from the University of São Paulo Medical School - LIM/22, São Paulo, SP, Brazil
| | - Ricardo Nitrini
- Department of Neurology, University of São Paulo Medical School , São Paulo, SP, Brazil
- Aging Brain Study Group from the University of São Paulo Medical School - LIM/22, São Paulo, SP, Brazil
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49
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Carelli-Alinovi C, Misiti F. Erythrocytes as Potential Link between Diabetes and Alzheimer's Disease. Front Aging Neurosci 2017; 9:276. [PMID: 28890694 PMCID: PMC5574872 DOI: 10.3389/fnagi.2017.00276] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2017] [Accepted: 08/03/2017] [Indexed: 12/20/2022] Open
Abstract
Many studies support the existence of an association between type 2 diabetes (T2DM) and Alzheimer's disease (AD). In AD, in addition to brain, a number of peripheral tissues and cells are affected, including red blood cell (RBC) and because there are currently no reliable diagnostic biomarkers of AD in the blood, a gradually increasing attention has been given to the study of RBC's alterations. Recently it has been evidenced in diabetes, RBC alterations superimposable to the ones occurring in AD RBC. Furthermore, growing evidence suggests that oxidative stress plays a pivotal role in the development of RBC's alterations and vice versa. Once again this represents a further evidence of a shared pathway between AD and T2DM. The present review summarizes the two disorders, highlighting the role of RBC in the postulated common biochemical links, and suggests RBC as a possible target for clinical trials.
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Affiliation(s)
- Cristiana Carelli-Alinovi
- School of Medicine, Biochemistry and Clinical Biochemistry Institute, Università Cattolica del Sacro CuoreRome, Italy
| | - Francesco Misiti
- Human, Social and Health Department, University of Cassino and Lazio MeridionaleCassino, Italy
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50
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Song J, Whitcomb DJ, Kim BC. The role of melatonin in the onset and progression of type 3 diabetes. Mol Brain 2017; 10:35. [PMID: 28764741 PMCID: PMC5539639 DOI: 10.1186/s13041-017-0315-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2017] [Accepted: 07/12/2017] [Indexed: 02/06/2023] Open
Abstract
Alzheimer’s disease (AD) is defined by the excessive accumulation of toxic peptides, such as beta amyloid (Aβ) plaques and intracellular neurofibrillary tangles (NFT). The risk factors associated with AD include genetic mutations, aging, insulin resistance, and oxidative stress. To date, several studies that have demonstrated an association between AD and diabetes have revealed that the common risk factors include insulin resistance, sleep disturbances, blood brain barrier (BBB) disruption, and altered glucose homeostasis. Many researchers have discovered that there are mechanisms common to both diabetes and AD. AD that results from insulin resistance in the brain is termed “type 3 diabetes”. Melatonin synthesized by the pineal gland is known to contribute to circadian rhythms, insulin resistance, protection of the BBB, and cell survival mechanisms. Here, we review the relationship between melatonin and type 3 diabetes, and suggest that melatonin might regulate the risk factors for type 3 diabetes. We suggest that melatonin is crucial for attenuating the onset of type 3 diabetes by intervening in Aβ accumulation, insulin resistance, glucose metabolism, and BBB permeability.
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Affiliation(s)
- Juhyun Song
- Department of Biomedical Sciences, Center for Creative Biomedical Scientists at Chonnam National University, Gwangju, 61469, South Korea
| | - Daniel J Whitcomb
- Henry Wellcome Laboratories for Integrative Neuroscience and Endocrinology, School of Clinical Sciences, Faculty of Healthy Sciences, University of Bristol, Whitson street, Bristol, BS1 3NY, UK
| | - Byeong C Kim
- Department of Neurology, Chonnam National University Medical School, Gwangju, 61469, South Korea.
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