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Presta M, Zoratto F, Mulder D, Ottomana AM, Pisa E, Arias Vásquez A, Slattery DA, Glennon JC, Macrì S. Hyperglycemia and cognitive impairments anticipate the onset of an overt type 2 diabetes-like phenotype in TALLYHO/JngJ mice. Psychoneuroendocrinology 2024; 167:107102. [PMID: 38896988 DOI: 10.1016/j.psyneuen.2024.107102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 04/30/2024] [Accepted: 06/08/2024] [Indexed: 06/21/2024]
Abstract
Type 2 Diabetes mellitus (T2DM) is a metabolic disorder characterized by chronic hyperglycemia, resulting from deficits in insulin secretion, insulin action, or both. Whilst the role of insulin in the peripheral nervous system has been ascertained in countless studies, its role in the central nervous system (CNS) is emerging only recently. Brain insulin has been lately associated with brain disorders like Alzheimer's disease, obsessive compulsive disorder, and attention deficit hyperactivity disorder. Thus, understanding the role of insulin as a common risk factor for mental and somatic comorbidities may disclose novel preventative and therapeutic approaches. We evaluated general metabolism (glucose tolerance, insulin sensitivity, energy expenditure, lipid metabolism, and polydipsia) and cognitive capabilities (attention, cognitive flexibility, and memory), in adolescent, young adult, and adult male and female TALLYHO/JngJ mice (TH, previously reported to constitute a valid experimental model of T2DM due to impaired insulin signaling). Adult TH mice have also been studied for alterations in gut microbiota diversity and composition. While TH mice exhibited profound deficits in cognitive flexibility and altered glucose metabolism, we observed that these alterations emerged either much earlier (males) or independent of (females) a comprehensive constellation of symptoms, isomorphic to an overt T2DM-like phenotype (insulin resistance, polydipsia, higher energy expenditure, and altered lipid metabolism). We also observed significant sex-dependent alterations in gut microbiota alpha diversity and taxonomy in adult TH mice. Deficits in insulin signaling may represent a common risk factor for both T2DM and CNS-related deficits, which may stem from (partly) independent mechanisms.
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Affiliation(s)
- Martina Presta
- Centre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità, Rome 00161, Italy; Department of Physiology and Pharmacology, Sapienza University of Rome, Rome 00185, Italy
| | - Francesca Zoratto
- Centre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità, Rome 00161, Italy
| | - Danique Mulder
- Donders Institute for Brain, Cognition and Behaviour, Departments of Psychiatry and Human Genetics, Radboud University Medical Centre, Nijmegen, the Netherlands
| | - Angela Maria Ottomana
- Centre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità, Rome 00161, Italy; Neuroscience Unit, Department of Medicine, University of Parma, Parma 43100, Italy
| | - Edoardo Pisa
- Centre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità, Rome 00161, Italy
| | - Alejandro Arias Vásquez
- Donders Institute for Brain, Cognition and Behaviour, Departments of Psychiatry and Human Genetics, Radboud University Medical Centre, Nijmegen, the Netherlands
| | - David A Slattery
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt, Germany
| | - Jeffrey C Glennon
- Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Ireland
| | - Simone Macrì
- Centre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità, Rome 00161, Italy.
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Kang H, Kim J, Kim M, Kim JH, Roh GS, Kim SK. Prediction model for mild cognitive impairment in patients with type 2 diabetes using the autonomic function test. Neurol Sci 2024; 45:3757-3766. [PMID: 38520638 DOI: 10.1007/s10072-024-07451-6] [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: 11/07/2023] [Accepted: 03/07/2024] [Indexed: 03/25/2024]
Abstract
OBJECTIVE Type 2 diabetes mellitus (T2DM) is a risk factor for cognitive impairment, and reduced heart rate variability (HRV) has been correlated with cognitive impairment in elderly individuals. This study investigated risk factors and validated a predictive model for mild cognitive impairment (MCI) in patients with T2DM using an autonomic function test. METHODS Patients with T2DM, 50-85 years of age, who attended the diabetes clinic at Gyeongsang National University Hospital between March 2018 and December 2019, were included. A total of 201 patients had been screened; we enrolled 124 patients according to the inclusion and exclusion criteria in this study. Cognitive function was assessed using the Montreal Cognitive Assessment-Korean version (MOCA-K); MCI was defined as a total MOCA-K score ≤ 23. Risk factors for MCI in patients with T2DM, including demographic- and diabetes-related factors, and autonomic function test results, were analyzed. Based on multivariate logistic regression, a nomogram was developed as a prediction model for MCI. RESULTS Thirty-nine of 124 patients were diagnosed with MCI. Age, education, and decreased cardiovagal function were associated with a high risk for MCI, with cardiovagal function exerting the greatest influence. However, diabetes-related factors, such as glycemic control, duration of diabetes, or medications, were not associated with the risk for MCI. The nomogram demonstrated excellent discrimination (area under the curve, 0.832) and was well calibrated. CONCLUSION Approximately one-third of patients had MCI; as such, carefully evaluating cognitive function in elderly T2DM patients with reduced HRV is important to prevent progression to dementia.
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Affiliation(s)
- Heeyoung Kang
- Department of Neurology, College of Medicine, Institute of Medical Science, Gyeongsang National University Hospital, Gyeongsang National University, Jinju, 52727, Korea
| | - Juhyeon Kim
- Department of Neurology, Gyeongsang National University Hospital, Jinju, Korea
| | - Minkyeong Kim
- Department of Neurology, Gyeongsang National University Hospital, Jinju, Korea
| | - Jin Hyun Kim
- Biomedical Research Institute, Gyeongsang National University Hospital, Jinju, Korea
| | - Gu Seob Roh
- Department of Anatomy, College of Medicine, Institute of Medical Science, Gyeongsang National University, Jinju, Korea
| | - Soo Kyoung Kim
- Department of Internal Medicine, College of Medicine, Institute of Medical Science, Gyeongsang National University Hospital, Gyeongsang National University, Jinju, 52727, Korea.
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Simonsen MB, Christiansen SL, Pedersen MK, Røikjer J, Croosu SS, Leutscher PDC, Ejskjaer N. Health literacy and cognitive function in people with diabetic foot ulcer with focus on knowledge, attitude, and practice in relation to foot self-care. SAGE Open Med 2024; 12:20503121241258841. [PMID: 38855003 PMCID: PMC11159546 DOI: 10.1177/20503121241258841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 05/15/2024] [Indexed: 06/11/2024] Open
Abstract
Introduction Preventative foot self-care is vital for avoiding diabetic foot ulcer episodes and lowering the risk of amputations. Yet, it demands high levels of health literacy and cognitive function. Objective To investigate health literacy and cognitive function in persons presenting with a diabetic foot ulcer. Methods Participants with type 2 diabetes were recruited from the tertiary foot clinic at Steno Diabetes Center North Denmark. The European Health Literacy Survey Questionnaire and Addenbrooke's Cognitive Examination were applied. A semi-structured interview guide was developed to evaluate foot self-care knowledge, attitude, and practice. The qualitative data were analyzed with a deductive approach based on a qualitative thematic analysis model. Subsequently, an integrated analysis of the quantitative and qualitative results was conducted. Results The participants (n = 12) had a mean age of 62.6 ± 8.4 years, and 11 were males. The mean diabetes duration was 15.9 ± 8.9 years. Eight participants had a recurrent diabetic foot ulcer. The health literacy level was sufficient in nine participants, and cognitive function was normal in five participants. Three different profiles related to foot self-care (proactive, active, or passive, respectively) were constructed by the final integrated analysis: a proactive profile refers to taking preventative action in concordance with knowledge and attitude, an active profile to taking action in response to a situation, but challenged by conflicting levels of knowledge and attitude, and a passive profile to not taking action. Conclusion The study suggests that people presenting with a diabetic foot ulcer have different foot self-care profiles based on person-specific health literacy, cognitive function, and knowledge, attitude, and practice element characteristics, highlighting the need for individualized education and intervention strategy instead of a one-size-fits-all approach.
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Affiliation(s)
- Morten Bilde Simonsen
- North Denmark Regional Hospital, Center for Clinical Research, Hjorring, Denmark
- Steno Diabetes Center North Denmark, Aalborg University Hospital, Aalborg, Denmark
- Department of Materials and Production, Aalborg University, Aalborg, Denmark
| | | | - Mona Kyndi Pedersen
- North Denmark Regional Hospital, Center for Clinical Research, Hjorring, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Johan Røikjer
- Steno Diabetes Center North Denmark, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
- Department of Endocrinology, Aalborg University Hospital, Aalborg, Denmark
| | - Suganthiya Santhiapillai Croosu
- Steno Diabetes Center North Denmark, Aalborg University Hospital, Aalborg, Denmark
- Department of Radiology, Aalborg University Hospital, Aalborg, Denmark
| | - Peter Derek Christian Leutscher
- North Denmark Regional Hospital, Center for Clinical Research, Hjorring, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Niels Ejskjaer
- Steno Diabetes Center North Denmark, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
- Department of Endocrinology, Aalborg University Hospital, Aalborg, Denmark
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Farkhani S, Payab M, Sharifi F, Sharifi Y, Mohammadi S, Shadman Z, Fahimfar N, Heshmat R, Hadizadeh A, Shafiee G, Nabipour I, Tavakoli F, Larijani B, Ebrahimpur M, Ostovar A. Association between pre-diabetes or diabetes and cognitive impairment in a community-dwelling older population: Bushehr Elderly Health (BEH) program. J Diabetes Metab Disord 2024; 23:639-646. [PMID: 38932839 PMCID: PMC11196454 DOI: 10.1007/s40200-023-01325-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Accepted: 09/27/2023] [Indexed: 06/28/2024]
Abstract
Background Persistent uncontrolled hyperglycemia is recognized as one of the risk factors for cognitive disorders. Accordingly, both type 1 and type 2 diabetes may predispose individuals to cognitive impairment, particularly in cases where glycemic control is insufficient. The objective of this comprehensive study is to separately assess cognitive dysfunctions in diabetic and non-diabetic older adults. Methods This cross-sectional study is part of phase 2 of the Bushehr elderly health program (BEHP). Cognitive function was evaluated using the Mini-cog and categorical verbal fluency tests (CFTs). Patients were classified as non-diabetics, pre-diabetics, or diabetics based on the diagnostic criteria for diabetes mellitus (DM). To compare the means of the two groups, we utilized the t-test or the Mann-Whitney test. Additionally Multivariable logistic regression models were used to determine the association between pre-diabetes or DM and cognitive impairment. Results Out of 1533 participants, 693 (45.2%) were identified as having cognitive impairment. The average hemoglobin A1C was higher in participants with cognitive impairment compared to those without cognitive impairment. (5.8 ± 1.6% vs. 5.5 ± 1.4%, P = 0.004). Furthermore, the mean blood glucose levels were found to be more elevated in cases of cognitive impairment (108.0 ± 47.4 mg/dL vs. 102.1 ± 0.35 mg/dL, P = 0.002). After adjusting for age, gender, body mass index (BMI), waist circumference, amount of physical activity, and smoking, the multivariable logistic regression model, declared an association between diabetes and cognitive impairment (OR = 1.48, P = 0.003). In addition, older patients, females, widows, and individuals with elevated LDL-Cs and those with high blood pressure were found to be more vulnerable to cognitive impairment. Conclusion The Bushehr Elderly Health Program (BEHP) study revealed that individuals affected with cognitive impairment may exhibit higher levels of HbA1c. This suggests a positive correlation between elevated HbA1c and cognitive impairment.
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Affiliation(s)
- Sara Farkhani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Moloud Payab
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Farshad Sharifi
- Elderly Health Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Yasaman Sharifi
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Department of Radiology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Sammy Mohammadi
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Zhaleh Shadman
- Elderly Health Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Noushin Fahimfar
- Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Ramin Heshmat
- Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Alireza Hadizadeh
- Research Center for Advanced Technologies in Cardiovascular Medicine, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Gita Shafiee
- Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Iraj Nabipour
- The Persian Gulf Marine Biotechnology Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran
| | - Farnaz Tavakoli
- Nephrology and Kidney Transplant Ward, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Bagher Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahbube Ebrahimpur
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Elderly Health Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Afshin Ostovar
- Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
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Zheng Y, Wang C, Liu W, Chen J, Sun Y, Chang D, Wang H, Xu W, Lu JJ, Zhou X, Huang M. Upregulation of Nrf2 signaling: A key molecular mechanism of Baicalin's neuroprotective action against diabetes-induced cognitive impairment. Biomed Pharmacother 2024; 174:116579. [PMID: 38631145 DOI: 10.1016/j.biopha.2024.116579] [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: 02/03/2024] [Revised: 04/05/2024] [Accepted: 04/10/2024] [Indexed: 04/19/2024] Open
Abstract
BACKGROUND AND AIM Diabetes-associated cognitive impairment (DCI) is a prevalent complication of diabetes. However, there is a lack of viable strategies for preventing and treating DCI. This study aims to explore the efficacy of baicalin (Bai) in attenuating DCI and elucidating the underlying mechanisms. EXPERIMENTAL PROCEDURE GK rats fed a high-fat and high-glucose diet were utilized to investigate the therapeutic potential of Bai. Cognitive function was assessed using the Morris water maze and novel object recognition tests. To gain insight into the molecular mechanisms underlying Bai's neuro-protective effects, co-cultured BV2/HT22 cells were established under high-glucose (HG) stimulation. The modes of action of Bai were subsequently confirmed in vivo using the DCI model in db/db mice. KEY RESULTS Bai restored cognitive and spatial memory and attenuated neuron loss, along with reducing expressions of Aβ and phosphorylated Tau protein in diabetic GK rats. At the cellular level, Bai exhibited potent antioxidant and anti-inflammatory effects against HG stimulation. These effects were associated with the upregulation of Nrf2 and supressed Keap1 levels. Consistent with these in vitro findings, similar mechanisms were observed in db/db mice. The significant neuroprotective effects of Bai were abolished when co-administered with ATRA, a Nrf2 blocker, in db/db mice, confirming that KEAP1-Nrf2 signaling pathway was responsible for the observed effect. CONCLUSIONS AND IMPLICATIONS Bai demonstrates a great therapeutic potential for attenuating DCI. The antioxidant defense and anti-inflammatory actions of Bai were mediated through the KEAP1-Nrf2 axis. These findings advance our understanding of potential treatment approaches for DCI, a common complication associated with diabetes.
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Affiliation(s)
- Yanfang Zheng
- College of Pharmacy, Fujian Key Laboratory of Chinese Materia Medica, Fujian University of Traditional Chinese Medicine, Fuzhou 350108, China
| | - Chenxiang Wang
- College of Pharmacy, Fujian Key Laboratory of Chinese Materia Medica, Fujian University of Traditional Chinese Medicine, Fuzhou 350108, China
| | - Wenjing Liu
- College of Pharmacy, Fujian Key Laboratory of Chinese Materia Medica, Fujian University of Traditional Chinese Medicine, Fuzhou 350108, China
| | - Jiaying Chen
- College of Pharmacy, Fujian Key Laboratory of Chinese Materia Medica, Fujian University of Traditional Chinese Medicine, Fuzhou 350108, China
| | - Yibin Sun
- College of Pharmacy, Fujian Key Laboratory of Chinese Materia Medica, Fujian University of Traditional Chinese Medicine, Fuzhou 350108, China
| | - Dennis Chang
- NICM Health Research Institute, Western Sydney University, Westmead, NSW 2145, Australia
| | - Huan Wang
- College of Pharmacy, Fujian Key Laboratory of Chinese Materia Medica, Fujian University of Traditional Chinese Medicine, Fuzhou 350108, China
| | - Wen Xu
- College of Pharmacy, Fujian Key Laboratory of Chinese Materia Medica, Fujian University of Traditional Chinese Medicine, Fuzhou 350108, China
| | - Jin-Jian Lu
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Avenida da Universidade, Taipa, Macao 999078, China.
| | - Xian Zhou
- NICM Health Research Institute, Western Sydney University, Westmead, NSW 2145, Australia.
| | - Mingqing Huang
- College of Pharmacy, Fujian Key Laboratory of Chinese Materia Medica, Fujian University of Traditional Chinese Medicine, Fuzhou 350108, China.
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Sola T, Sola FM, Jehkonen M. The Effects of Type 2 Diabetes on Cognitive Performance: A Review of Reviews. Int J Behav Med 2024:10.1007/s12529-024-10274-6. [PMID: 38467963 DOI: 10.1007/s12529-024-10274-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/27/2024] [Indexed: 03/13/2024]
Abstract
BACKGROUND Multiple systematic reviews have found that type 2 diabetes is associated with cognitive decrements. However, these reviews are heterogeneous in terms of methodology, quality and results, making it difficult for researchers and clinicians to build an informed overall picture. We therefore conducted a review of systematic reviews on the association between type 2 diabetes and cognitive decrements in relation to healthy controls. METHODS Following a pre-registered research protocol, we searched four major databases. Nine systematic reviews met our inclusion criteria: seven were meta-analyses and two were narrative syntheses. We assessed the risk of bias in each review and reported all effect sizes and confidence intervals obtained. RESULTS Type 2 diabetes was associated with cognitive decrements in all reviews, with small or negligible effect sizes obtained in the largest meta-analyses. The most studied cognitive domains were attention, executive functions, memory, processing speed and working memory. All reviews had methodological issues and were rated as having a high or an unclear risk of bias. CONCLUSIONS Type 2 diabetes appears to be associated with lower cognitive performance in several cognitive domains and in different age groups. However, high-quality meta-analyses on the subject are still needed. Future reviews must follow the PRISMA guidelines and take into account the risk of bias of the original studies through sensitivity analyses and the heterogeneity of the studies by conducting subgroup analyses for example according to age group and disease duration. The meta-analyses that aim to study the entire type 2 diabetes population without excluding severe comorbidities, should assess concept formation and reasoning, construction and motor performance, perception, and verbal functions and language skills in addition to the cognitive domains that have been most frequently analysed in the reviews conducted so far.
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Affiliation(s)
- Teppo Sola
- Psychology, Tampere University, Tampere, Finland.
- Tampere University Hospital, Tampere, Finland.
| | | | - Mervi Jehkonen
- Psychology, Tampere University, Tampere, Finland
- Tampere University Hospital, Tampere, Finland
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Kim B, Hu J. The Effectiveness of Cognitive-Focused Interventions for Adults With Diabetes: A Systematic Review. West J Nurs Res 2024; 46:236-247. [PMID: 38205721 DOI: 10.1177/01939459231221939] [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] [Indexed: 01/12/2024]
Abstract
BACKGROUND Adults with diabetes and impaired memory and executive functions are more likely to experience difficulties in diabetes self-management and achieving glycemic targets. The purpose of this systematic review was to evaluate the evidence of the effects of cognitive-focused interventions on cognitive ability, diabetes self-management, and management of glycemic levels for middle-aged adults and older adults with diabetes. METHODS A systematic review of randomized controlled/clinical trials published in English between 2012 and 2022 was conducted. A search was performed using 5 databases (PubMed, CINAHL, Embase, Web of Science, and Scopus) in addition to hand-searching. The search terms included diabetes, adults, cognitive-focused intervention, cognition, self-management, and hemoglobin A1C (HbA1C). RESULTS Eleven studies met the inclusion criteria. Cognitive ability and diabetes self-management were assessed using different measurements, and glycemic levels were measured with HbA1C. Nine studies applied cognitive training, one provided working memory training, and one used occupational therapy. Eight studies combined cognitive training with a co-intervention, including self-efficacy, lifestyle management, physical training, chronic disease self-management program, square-stepping exercise, psychoeducational intervention, and empowerment. Eight studies showed statistically significant improvements in at least one cognitive domain. CONCLUSIONS Cognitive-focused interventions have a positive effect on improving memory and executive function. However, the evidence of cognitive-focused interventions on diabetes self-management and glycemic levels has not been established. Future studies to improve cognition using effective strategies to improve cognitive function enhancing diabetes self-management behaviors and managing glycemic levels are warranted.
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Affiliation(s)
- Bohyun Kim
- The Ohio State University, College of Nursing, Columbus, OH, USA
| | - Jie Hu
- The Ohio State University, College of Nursing, Columbus, OH, USA
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Kuate Defo A, Bakula V, Pisaturo A, Labos C, Wing SS, Daskalopoulou SS. Diabetes, antidiabetic medications and risk of dementia: A systematic umbrella review and meta-analysis. Diabetes Obes Metab 2024; 26:441-462. [PMID: 37869901 DOI: 10.1111/dom.15331] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 09/12/2023] [Accepted: 09/29/2023] [Indexed: 10/24/2023]
Abstract
AIMS The objective of this umbrella review and meta-analysis was to evaluate the effect of diabetes on risk of dementia, as well as the mitigating effect of antidiabetic treatments. MATERIALS AND METHODS We conducted a systematic umbrella review on diabetes and its treatment, and a meta-analysis focusing on treatment. We searched MEDLINE/PubMed, Embase, PsycINFO, CINAHL and the Cochrane Library for systematic reviews and meta-analyses assessing the risk of cognitive decline/dementia in individuals with diabetes until 2 July 2023. We conducted random-effects meta-analyses to obtain risk ratios and 95% confidence intervals estimating the association of metformin, thiazolidinediones, pioglitazone, dipeptidyl peptidase-4 inhibitors, α-glucosidase inhibitors, meglitinides, insulin, sulphonylureas, glucagon-like peptide-1 receptor agonists (GLP1RAs) and sodium-glucose cotransporter-2 inhibitors (SGLT2is) with risk of dementia from cohort/case-control studies. The subgroups analysed included country and world region. Risk of bias was assessed with the AMSTAR tool and Newcastle-Ottawa Scale. RESULTS We included 100 reviews and 27 cohort/case-control studies (N = 3 046 661). Metformin, thiazolidinediones, pioglitazone, GLP1RAs and SGLT2is were associated with significant reduction in risk of dementia. When studies examining metformin were divided by country, the only significant effect was for the United States. Moreover, the effect of metformin was significant in Western but not Eastern populations. No significant effect was observed for dipeptidyl peptidase-4 inhibitors, α-glucosidase inhibitors, or insulin, while meglitinides and sulphonylureas were associated with increased risk. CONCLUSIONS Metformin, thiazolidinediones, pioglitazone, GLP1RAs and SGLT2is were associated with reduced risk of dementia. More longitudinal studies aimed at determining their relative benefit in different populations should be conducted.
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Affiliation(s)
- Alvin Kuate Defo
- Vascular Health Unit, Research Institute of the McGill University Health Centre, Department of Medicine, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Veselko Bakula
- Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | | | - Christopher Labos
- Vascular Health Unit, Research Institute of the McGill University Health Centre, Department of Medicine, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Simon S Wing
- Division of Endocrinology & Metabolism, Department of Medicine, McGill University Health Centre, McGill University, Montreal, Quebec, Canada
| | - Stella S Daskalopoulou
- Vascular Health Unit, Research Institute of the McGill University Health Centre, Department of Medicine, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
- Division of Internal Medicine, Department of Medicine, McGill University Health Centre, McGill University, Montreal, Quebec, Canada
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Ottomana AM, Presta M, O'Leary A, Sullivan M, Pisa E, Laviola G, Glennon JC, Zoratto F, Slattery DA, Macrì S. A systematic review of preclinical studies exploring the role of insulin signalling in executive function and memory. Neurosci Biobehav Rev 2023; 155:105435. [PMID: 37913873 DOI: 10.1016/j.neubiorev.2023.105435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 10/04/2023] [Accepted: 10/23/2023] [Indexed: 11/03/2023]
Abstract
Beside its involvement in somatic dysfunctions, altered insulin signalling constitutes a risk factor for the development of mental disorders like Alzheimer's disease and obsessive-compulsive disorder. While insulin-related somatic and mental disorders are often comorbid, the fundamental mechanisms underlying this association are still elusive. Studies conducted in rodent models appear well suited to help decipher these mechanisms. Specifically, these models are apt to prospective studies in which causative mechanisms can be manipulated via multiple tools (e.g., genetically engineered models and environmental interventions), and experimentally dissociated to control for potential confounding factors. Here, we provide a narrative synthesis of preclinical studies investigating the association between hyperglycaemia - as a proxy of insulin-related metabolic dysfunctions - and impairments in working and spatial memory, and attention. Ultimately, this review will advance our knowledge on the role of glucose metabolism in the comorbidity between somatic and mental illnesses.
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Affiliation(s)
- Angela Maria Ottomana
- Centre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità, 00161 Rome, Italy; Neuroscience Unit, Department of Medicine, University of Parma, 43100 Parma, Italy
| | - Martina Presta
- Centre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità, 00161 Rome, Italy; Department of Physiology and Pharmacology, Sapienza University of Rome, 00185 Rome, Italy
| | - Aet O'Leary
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt, Germany; Chair of Neuropsychopharmacology, Institute of Chemistry, University of Tartu, Tartu, Estonia
| | - Mairéad Sullivan
- Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Ireland
| | - Edoardo Pisa
- Centre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità, 00161 Rome, Italy
| | - Giovanni Laviola
- Centre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità, 00161 Rome, Italy
| | - Jeffrey C Glennon
- Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Ireland
| | - Francesca Zoratto
- Centre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità, 00161 Rome, Italy
| | - David A Slattery
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt, Germany
| | - Simone Macrì
- Centre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità, 00161 Rome, Italy.
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Hiiragi H, Minami T, Terauchi Y. Predicting three categories of Dementia Assessment Sheet for Community-based Integrated Care System 8-items score-based glycemic targets using the number of animal names recalled. J Diabetes Investig 2023; 14:1121-1127. [PMID: 37312285 PMCID: PMC10445189 DOI: 10.1111/jdi.14040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 04/21/2023] [Accepted: 05/29/2023] [Indexed: 06/15/2023] Open
Abstract
AIMS/INTRODUCTION The Dementia Assessment Sheet for Community-based Integrated Care System 8-items (DASC-8) assesses memory, orientation, instrumental activities of daily living and basic activities of daily living. Category I (DASC-8 score ≤10), category II (11 ≤ DASC-8 score ≤16) and category III (DASC-8 score ≥17) have been defined. Based on these categories, the glycemic targets in diabetes patients aged ≥65 years have been proposed by the Japan Diabetes Society and the Japan Geriatrics Society Joint Committee. DASC-8 is difficult to apply to patients without family members or supportive persons. We propose a verbal fluency test as the screening tool. MATERIALS AND METHODS We enrolled 69 inpatients aged ≥65 years with type 2 diabetes, who were administered the DASC-8 and VF tests, which included recalling animal names and common nouns starting with a specified letter in 1 min. The relationship between DASC-8 and verbal fluency test scores was investigated. RESULTS Animal fluency correlated with DASC-8 scores after adjustment for patient characteristics. Animal scores correlated with orientation, instrumental activities of daily living and basic activities of daily living scores of DASC-8, and tended to show a relationship with DASC-8 memory scores. An animal score ≥8 predicted category I with a sensitivity of 89% and a specificity of 57%. An animal score ≤6 predicted category III with a sensitivity of 85% and a specificity of 67%. CONCLUSIONS Animal scores would be useful in predicting the categories of DASC-8. Animal fluency could be a screening tool of DASC-8 when a patient's family member or supportive person is absent.
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Affiliation(s)
- Hiroko Hiiragi
- Division of Diabetes and EndocrinologySaiseikai Yokohama Nanbu HospitalYokohamaJapan
- Department of Endocrinology and MetabolismGraduate School of Medicine, Yokohama City UniversityYokohamaJapan
| | - Taichi Minami
- Division of Diabetes and EndocrinologySaiseikai Yokohama Nanbu HospitalYokohamaJapan
- Department of Endocrinology and MetabolismGraduate School of Medicine, Yokohama City UniversityYokohamaJapan
| | - Yasuo Terauchi
- Department of Endocrinology and MetabolismGraduate School of Medicine, Yokohama City UniversityYokohamaJapan
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11
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Han Q, Ding Q, Yu L, Li T, Sun B, Tang Z. Hippocampal transcriptome analysis reveals mechanisms of cognitive impairment in beagle dogs with type 1 diabetes. J Neuropathol Exp Neurol 2023; 82:774-786. [PMID: 37533277 DOI: 10.1093/jnen/nlad060] [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] [Indexed: 08/04/2023] Open
Abstract
Diabetic encephalopathy is a common complication of type 1 diabetes. However, there have been few studies on cognitive impairment and hippocampal damage in type 1 diabetes mellitus (T1DM) using dogs as experimental animals. To investigate the effects of diabetes on the CNS, 40 adult beagles were divided into streptozotocin/alloxan type 1 diabetes model and control groups. The duration of diabetes in the model group was 120 days. A cognitive dysfunction scale was used to assess cognitive function. Hematoxylin and eosin and Golgi-Cox staining methods were used to observe morphological damage to the hippocampus. Transcriptomics was used to investigate differential gene expression in the hippocampus. The results showed that the cognitive dysfunction score of the model group was significantly higher than that of the control group. In addition, the number of normal neurons, the complexity of dendritic morphology, and the density of dendritic spines were decreased in the hippocampus of diabetic dogs. A total of 672 differentially expressed genes (DEGs) were identified, 289 of which were upregulated, and 383 were downregulated. Modified genes included DBH, IGFBP2, AVPR1A, and DRAXIN. In conclusion, type 1 diabetic dogs exhibit cognitive dysfunction. The DEGs were mainly enriched in metabolic, PI3K-Akt signaling, and neuroactive ligand-receptor interaction pathways.
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Affiliation(s)
- Qingyue Han
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong, P.R. China
| | - Qingyu Ding
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong, P.R. China
| | - Luyao Yu
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong, P.R. China
| | - Tingyu Li
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong, P.R. China
| | - Bingxia Sun
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong, P.R. China
| | - Zhaoxin Tang
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, Guangdong, P.R. China
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12
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Zhang S, Zhang Y, Wen Z, Yang Y, Bu T, Bu X, Ni Q. Cognitive dysfunction in diabetes: abnormal glucose metabolic regulation in the brain. Front Endocrinol (Lausanne) 2023; 14:1192602. [PMID: 37396164 PMCID: PMC10312370 DOI: 10.3389/fendo.2023.1192602] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 05/25/2023] [Indexed: 07/04/2023] Open
Abstract
Cognitive dysfunction is increasingly recognized as a complication and comorbidity of diabetes, supported by evidence of abnormal brain structure and function. Although few mechanistic metabolic studies have shown clear pathophysiological links between diabetes and cognitive dysfunction, there are several plausible ways in which this connection may occur. Since, brain functions require a constant supply of glucose as an energy source, the brain may be more susceptible to abnormalities in glucose metabolism. Glucose metabolic abnormalities under diabetic conditions may play an important role in cognitive dysfunction by affecting glucose transport and reducing glucose metabolism. These changes, along with oxidative stress, inflammation, mitochondrial dysfunction, and other factors, can affect synaptic transmission, neural plasticity, and ultimately lead to impaired neuronal and cognitive function. Insulin signal triggers intracellular signal transduction that regulates glucose transport and metabolism. Insulin resistance, one hallmark of diabetes, has also been linked with impaired cerebral glucose metabolism in the brain. In this review, we conclude that glucose metabolic abnormalities play a critical role in the pathophysiological alterations underlying diabetic cognitive dysfunction (DCD), which is associated with multiple pathogenic factors such as oxidative stress, mitochondrial dysfunction, inflammation, and others. Brain insulin resistance is highly emphasized and characterized as an important pathogenic mechanism in the DCD.
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Affiliation(s)
| | | | | | | | | | | | - Qing Ni
- Department of Endocrinology, Guang’ anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
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13
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Sola T, Pimiä E, Lahti E, Lahtela J, Jehkonen M. Type 2 diabetes and cognitive performance in middle age: a cross-sectional study. J Clin Exp Neuropsychol 2023; 45:423-432. [PMID: 37642462 DOI: 10.1080/13803395.2023.2246668] [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: 10/12/2022] [Accepted: 08/03/2023] [Indexed: 08/31/2023]
Abstract
INTRODUCTION Type 2 diabetes has been associated with cognitive decrements already in middle-age. However, the sample sizes of the studies have been small and the neuropsychological tests used have been heterogeneous. In addition, only a few studies have matched the groups in terms of age, education and gender. In this cross-sectional matched pairs study, we investigated the cognitive performance of Finnish middle-aged type 2 diabetes patients compared to healthy individuals. METHOD A neuropsychological test battery consisting of 16 tests and 21 outcome measures was applied to 28 patients and 28 age-, education- and gender-matched healthy individuals. Various exclusion criteria were applied to minimize the risk of cognitive dysfunction due to factors other than diabetes. RESULTS We did not find between-group differences in any of the neuropsychological tests measuring attention, concept formation and reasoning, construction and motor performance, executive functions, memory, processing speed or working memory. In addition, there were no group differences in the frequency or severity of subjective cognitive symptoms, or in anxiety, depression, burnout, fatigue or alcohol use disorder symptoms. The effect sizes in this study were mostly negligible or small, with the mean effect size being -0.12. CONCLUSIONS In a carefully matched sample of middle-aged type 2 diabetes patients and healthy individuals, we found no significant effects and no meaningful evidence of cognitive differences between the groups.
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Affiliation(s)
- Teppo Sola
- Faculty of Social Sciences, Tampere University, Tampere, Finland
- Tays Research Services, Wellbeing Services County of Pirkanmaa, Tampere University Hospital, Tampere, Finland
| | - Elina Pimiä
- Tays Research Services, Wellbeing Services County of Pirkanmaa, Tampere University Hospital, Tampere, Finland
- Diabetes Outpatient Clinic, Wellbeing Services County of Pirkanmaa, City of Tampere Diabetes Outpatient Clinic, Tampere, Finland
| | - Elina Lahti
- Tays Research Services, Wellbeing Services County of Pirkanmaa, Tampere University Hospital, Tampere, Finland
| | - Jorma Lahtela
- Tays Research Services, Wellbeing Services County of Pirkanmaa, Tampere University Hospital, Tampere, Finland
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Mervi Jehkonen
- Faculty of Social Sciences, Tampere University, Tampere, Finland
- Tays Research Services, Wellbeing Services County of Pirkanmaa, Tampere University Hospital, Tampere, Finland
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14
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Changes in Cognition and Brain Function After 26 Weeks of Progressive Resistance Training in Older Adults at Risk for Diabetes: A Pilot Randomized Controlled Trial. Can J Diabetes 2023; 47:250-256. [PMID: 36858923 DOI: 10.1016/j.jcjd.2023.01.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Revised: 01/06/2023] [Accepted: 01/09/2023] [Indexed: 01/14/2023]
Abstract
OBJECTIVES Type 2 diabetes is associated with deficits in cognition and brain health. Individuals with at least 1 risk factor for diabetes (i.e. obesity, prediabetes) already experience some neurocognitive impairment and are at risk for further decline. One way to combat these deficits is through exercise, but its is unknown whether resistance exercise can improve these functions in this at-risk group. METHODS This study was a pilot randomized controlled trial. Participants were 60 to 80 years of age and had prediabetes (fasting capillary glucose 6.1 to 6.9 mmol/L) and/or were overweight or obese (body mass index ≥25). Participants completed resistance training or balance and stretching exercise (control) thrice weekly for 6 months. Neuropsychological tests were used to assess cognitive ability, whereas functional magnetic resonance imaging was used to examine brain activation patterns. RESULTS Resistance training led to improvements in task-switching, attention and conflict resolution, as well as improved patterns of brain activation that may mimic healthy older adults. CONCLUSIONS Resistance exercise may serve as an effective behavioural strategy to improve neurocognition in older adults at risk for type 2 diabetes. A large-scale powered trial is needed to further explore these findings.
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15
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Hoogendoorn CJ, Qin J, Wang C, Roque N, Laurenceau JP, Katz MJ, Derby CA, Lipton RB, Gonzalez JS. Depressive symptoms mediate the relationship between diabetes and cognitive performance in a community-based sample of older adults. J Diabetes Complications 2022; 36:108183. [PMID: 35718600 DOI: 10.1016/j.jdiacomp.2022.108183] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 03/11/2022] [Accepted: 03/18/2022] [Indexed: 02/07/2023]
Abstract
AIMS To evaluate whether diabetes and prediabetes are associated with impaired cognitive performance among older adults and examine depressive symptoms as a mediator. METHODS We used cross-sectional data from the Einstein Aging Study, a systematically recruited, community-based cohort study of diverse older adults (N = 794; Age Mean (SD) = 78.9 (5.3); 64.4% Non-Hispanic White, 28.7% Non-Hispanic Black, 5.7% Hispanic). Diabetes status was established via self-reported diagnosis, prescribed medications, and fasting blood glucose. Depressive symptoms were assessed using the Geriatric Depression Scale. Cognitive tests included Digit Symbol, Trails-B, Free Recall, Category Fluency, Boston Naming, and Block Design. Linear regression and mediation analyses were applied. RESULTS Compared to those without diabetes, diabetes was associated with worse performance on all cognitive tests (ps < 0.05), except Trails-B (p = 0.53), and increased depressive symptoms (p < 0.01). For diabetes, mediation via increased depressive symptoms was observed for Free Recall (p = 0.044), Category Fluency (p = 0.033), and Boston Naming (p = 0.048). CONCLUSIONS Diabetes was consistently associated with worse cognitive performance and increased depressive symptoms among this older cohort, while prediabetes was not. Mediation findings suggest depressive symptoms may be a biobehavioral pathway linking diabetes and cognition, though the temporal sequence is unclear. If causal, addressing both diabetes and depressive symptoms among older adults may protect cognitive function.
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Affiliation(s)
| | - Jiyue Qin
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Cuiling Wang
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA; Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Nelson Roque
- Department of Psychology, University of Central Florida, Orlando, FL, USA
| | - Jean-Philippe Laurenceau
- Department of Psychological & Brain Sciences, University of Delaware, Newark, DE, USA; New York-Regional Center for Diabetes Translation Research, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Mindy J Katz
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Carol A Derby
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA; New York-Regional Center for Diabetes Translation Research, Albert Einstein College of Medicine, Bronx, NY, USA; Department of Medicine (Endocrinology), Albert Einstein College of Medicine, Bronx, NY, USA
| | - Richard B Lipton
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA; New York-Regional Center for Diabetes Translation Research, Albert Einstein College of Medicine, Bronx, NY, USA; Department of Medicine (Endocrinology), Albert Einstein College of Medicine, Bronx, NY, USA; Department of Psychiatry and Behavioral Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Jeffrey S Gonzalez
- Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY, USA; Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA; New York-Regional Center for Diabetes Translation Research, Albert Einstein College of Medicine, Bronx, NY, USA; Department of Medicine (Endocrinology), Albert Einstein College of Medicine, Bronx, NY, USA
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16
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Hetta. G, Jane. M, Michelle. H, Anna. D, Reuben. R, Greg. K, Andre. JJ, Leslie L, Thomas. M, GF. TK. Impact of HIV on Cognitive Performance in Professional Drivers. J Acquir Immune Defic Syndr 2022; 89:527-536. [PMID: 34974470 PMCID: PMC9058184 DOI: 10.1097/qai.0000000000002899] [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: 09/02/2021] [Accepted: 12/06/2021] [Indexed: 11/27/2022]
Abstract
BACKGROUND The intellectually demanding modern workplace is often dependent on good cognitive health, yet there is little understanding of how neurocognitive dysfunction related to HIV presents in employed individuals working in high-risk vocations such as driving. HIV-associated neurocognitive impairment is also associated with poorer long-term cognitive, health, and employment outcomes. SETTING This study, set in Cape Town, South Africa, assessed the effects of HIV on neuropsychological test performance in employed male professional drivers. METHOD We administered a neuropsychological test battery spanning 7 cognitive domains and obtained behavioral data, anthropometry, and medical biomarkers from 3 groups of professional drivers (68 men with HIV, 55 men with cardiovascular risk factors, and 81 controls). We compared the drivers' cognitive profiles and used multiple regression modeling to investigate whether between-group differences persisted after considering potentially confounding sociodemographic and clinical variables (ie, income, home language, depression, and the Framingham risk score). RESULTS Relative to other study participants, professional drivers with HIV performed significantly more poorly on tests assessing processing speed (P < 0.003) and attention and working memory (P = 0.018). Group membership remained a predictor of cognitive performance after controlling for potential confounders. The cognitive deficits observed in men with HIV were, however, largely characterized as being mild or asymptomatic. Consistent with this characterization, their relatively poor performance on neuropsychological testing did not generalize to self-reported impairment on activities of daily living. CONCLUSION Drivers with HIV may be at risk of poorer long-term health and employment outcomes. Programs that monitor and support their long-term cognitive health are needed.
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Affiliation(s)
- Gouse Hetta.
- HIV Mental Health Research Unit and Neurosciences Institute, Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Masson Jane.
- HIV Mental Health Research Unit and Neurosciences Institute, Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Henry Michelle.
- Centre for Higher Education Development, University of Cape Town, Cape Town, South Africa
| | - Dreyer Anna.
- HIV Mental Health Research Unit and Neurosciences Institute, Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Robbins Reuben.
- HIV Center for Clinical and Behavioral Science, New York State Psychiatric Institute and Columbia University, New York, USA
| | - Kew Greg.
- School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Joska John Andre.
- HIV Mental Health Research Unit and Neurosciences Institute, Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - London Leslie
- School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Marcotte Thomas.
- HIV Neurobehavioral Research Program, Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Thomas Kevin GF.
- ACSENT Laboratory, Department of Psychology, University of Cape Town, Cape Town, South Africa
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Bonberg N, Wulms N, Berger K, Minnerup H. The Relative Importance of Vascular Risk Factors on Early Cognitive Aging Varies Only Slightly Between Men and Women. Front Aging Neurosci 2022; 14:804842. [PMID: 35418850 PMCID: PMC8996124 DOI: 10.3389/fnagi.2022.804842] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 02/16/2022] [Indexed: 11/18/2022] Open
Abstract
Objective To investigate the sex-specific course and impact of vascular risk factors on cognitive aging in a rather young and healthy community-dwelling cohort. Methods We used data from a population-based cohort study, collected three times during 6 years, comprising 1,911 examinations from 798 participants aged 35–66 years at baseline. Cognitive performance on the Color-Word-Interference-Test, the Trail Making Tests (TMT) A&B, the Word Fluency Test, a 12-item word list, the Purdue Pegboard Test and a principal component global score were used as outcomes in linear mixed models. We evaluated (1) sex differences in cognitive trajectories, (2) the mediating role of hypertension, diabetes, smoking and obesity [body mass index (BMI) > 30] on sex differences and (3) in sex-stratified analyses, potential sex-specific effects of these risk factors on cognition. Results For all cognitive tests, we observed cognitive decline with age. Rates of decline slightly differed across sexes, showing a later but steeper decline for women in tests of memory (word list) and word fluency, but a steeper decline for men in tests of psychomotor speed and mental set shifting (TMT A&B) in older age. Women generally scored better on cognitive tests, but the slightly higher prevalence of classical vascular risks factors in men in our cohort could not explain these sex differences. Sex-stratified analyses revealed a generally small, concordantly negative, but quantitatively slightly different impact of diabetes, smoking and obesity on cognitive functions but mixed effects for arterial hypertension, depending on the blood pressure values, the treatment status and the duration of arterial hypertension. Conclusion Cognitive sex differences in this rather young and healthy cohort could not be explained by a differing prevalence of vascular risks factors across sexes. The association of cardiovascular risk factors with cognition, however, slightly differed between men and women, whereby effects were generally small. Whereas longtime diabetes, obesity and smoking had a sex-specific, but concordantly negative impact on psychomotor speed, executive and motor functions, we found some opposing effects for arterial hypertension. Our results can help to identify sex-specific susceptibilities to modifiable risk factors, to attract attention to potential information bias and to stimulate further research into alternative causes and mechanism of sex differences in cognitive aging.
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18
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Sphingolipid control of cognitive functions in health and disease. Prog Lipid Res 2022; 86:101162. [DOI: 10.1016/j.plipres.2022.101162] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 03/10/2022] [Accepted: 03/12/2022] [Indexed: 12/14/2022]
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Chow YY, Verdonschot M, McEvoy CT, Peeters G. Associations between depression and cognition, mild cognitive impairment and dementia in persons with diabetes mellitus: A systematic review and meta-analysis. Diabetes Res Clin Pract 2022; 185:109227. [PMID: 35122905 DOI: 10.1016/j.diabres.2022.109227] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 01/26/2022] [Accepted: 01/28/2022] [Indexed: 12/14/2022]
Abstract
AIMS This systematic review aimed to examine whether persons with diabetes and depression had poorer cognition and higher dementia risk than persons with diabetes only. Moreover, the impact of timing, frequency of depressive episodes throughout life, and antidepressant treatment were examined. METHODS PubMed, Embase and PsycINFO were searched to obtain observational studies between August 2015 and June 2021 that examined the association between depression and cognition, mild cognitive impairment or dementia in people with diabetes. Studies published before August 2015 were retrieved from a previous systematic review. Findings were pooled using meta-analyses. RESULTS 10 out of 19 included articles were appropriate for the meta-analyses. Persons with diabetes and depression experienced greater declines in executive function (SMD = -0.39 (-0.69, -0.08)), language (SMD = -0.80 (-1.52, -0.09)), memory (SMD = -0.63 (-1.12, -0.14)) and overall cognition (SMD = -0.77 (-1.33, -0.20)), and greater dementia risk (HR = 1.82 (1.79, 1.85)) than persons with diabetes only. No significant differences were observed for complex attention. No studies examined the role of timing and frequency of depressive episodes and antidepressant treatment. CONCLUSION In persons with diabetes, depression is associated with worse cognition and higher dementia risk. The potential mitigating effect of antidepressant treatment remains unclear.
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Affiliation(s)
- Yeng Yan Chow
- Department of Geriatric Medicine, Radboud Institute for Health Sciences, Radboud University Medical Centre, Reinier Postlaan 4, 6500 HB Nijmegen, the Netherlands.
| | - Milou Verdonschot
- Department of Geriatric Medicine, Radboud Institute for Health Sciences, Radboud University Medical Centre, Reinier Postlaan 4, 6500 HB Nijmegen, the Netherlands.
| | - Claire T McEvoy
- Global Brain Health Institute, Trinity College Institute of Neuroscience, Trinity College Dublin, Llyod Building, Dublin 2, Ireland; Centre for Public Health, Queen's University Belfast, Grosvenor Road, Belfast, BT12 6 BJ Northern Ireland, United Kingdom.
| | - Geeske Peeters
- Department of Geriatric Medicine, Radboud Institute for Health Sciences, Radboud University Medical Centre, Reinier Postlaan 4, 6500 HB Nijmegen, the Netherlands; Global Brain Health Institute, Trinity College Institute of Neuroscience, Trinity College Dublin, Llyod Building, Dublin 2, Ireland.
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20
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Pradhan SP, Sahoo S, Behera A, Sahoo R, Sahu PK. Memory amelioration by hesperidin conjugated gold nanoparticles in diabetes induced cognitive impaired rats. J Drug Deliv Sci Technol 2022. [DOI: 10.1016/j.jddst.2022.103145] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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21
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Yassi N, Pase MP, Buckley RF, Rosenich E, Watson R, Maruff P, Lim YY. Cardiovascular Risk Associated with Poorer Memory in Middle-Aged Adults from the Healthy Brain Project. J Alzheimers Dis 2022; 86:1081-1091. [PMID: 35147538 DOI: 10.3233/jad-215375] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Midlife cardiovascular risk factors (CVRF) are associated with reduced cognition and an increased risk of dementia. OBJECTIVE To further investigate this association using remote unsupervised online assessment of cognition and cardiovascular risk in middle-aged adults; and to explore the extent to which the association is altered by carriage of the APOE ɛ4 allele. METHODS The Healthy Brain Project is an online cohort of middle-aged cognitively unimpaired adults (40-70 years) who have undergone cognitive assessment and provided self-reports of demographic and health history. Cardiovascular risk was determined by ascertaining history of hypertension, hypercholesterolemia, diabetes mellitus, overweight (body mass index≥25), and current cigarette smoking. Participants (n = 2,480) were then grouped based on the number of reported CVRF into no CVRF, 1, 2, and≥3 CVRF. Associations between the number of CVRF as a continuous variable, CVRF group, and each individual CVRF with composite measures of attention, memory and subjective cognitive function were investigated. RESULTS Higher number of CVRF was associated with poorer attention (β= -0.042, p = 0.039) and memory (β= -0.080, p < 0.001), but not with subjective cognitive function. When considered individually, current smoking (β= -0.400, p = 0.015), diabetes (β= -0.251, p = 0.023), and hypercholesterolemia (β= -0.109, p = 0.044) were independently associated with poorer memory performance. APOE ɛ4 carriers with≥1 CVRF performed worse on memory than ɛ4 carriers with no CVRFs (β(SE) = 0.259(0.077), p = 0.004). This was not observed in ɛ4 non-carriers. CONCLUSION In cognitively normal middle-aged adults, CVRF were associated with poorer cognition, particularly in the memory domain. These results support feasibility of online assessment of cardiovascular risk for cognitive impairment.
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Affiliation(s)
- Nawaf Yassi
- Departments of Medicine and Neurology, Melbourne Brain Centre @ The Royal Melbourne Hospital, University of Melbourne, Parkville, Australia.,Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
| | - Matthew P Pase
- The Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, VIC, Australia.,Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Rachel F Buckley
- The Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, VIC, Australia.,Melbourne School of Psychological Sciences, University of Melbourne, Parkville, VIC, Australia.,Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.,Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - Emily Rosenich
- The Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, VIC, Australia
| | - Rosie Watson
- Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Australia.,Department of Medicine, The Royal Melbourne Hospital, University of Melbourne, Parkville, Australia
| | - Paul Maruff
- The Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, VIC, Australia.,Cogstate Ltd., Melbourne, VIC, Australia
| | - Yen Ying Lim
- The Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, VIC, Australia
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22
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Ryan MC, Hong LE, Hatch KS, Gao S, Chen S, Haerian K, Wang J, Goldwaser EL, Du X, Adhikari BM, Bruce H, Hare S, Kvarta MD, Jahanshad N, Nichols TE, Thompson PM, Kochunov P. The additive impact of cardio-metabolic disorders and psychiatric illnesses on accelerated brain aging. Hum Brain Mapp 2022; 43:1997-2010. [PMID: 35112422 PMCID: PMC8933252 DOI: 10.1002/hbm.25769] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2021] [Revised: 11/28/2021] [Accepted: 12/28/2021] [Indexed: 12/24/2022] Open
Abstract
Severe mental illnesses (SMI) including major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia spectrum disorder (SSD) elevate accelerated brain aging risks. Cardio‐metabolic disorders (CMD) are common comorbidities in SMI and negatively impact brain health. We validated a linear quantile regression index (QRI) approach against the machine learning “BrainAge” index in an independent SSD cohort (N = 206). We tested the direct and additive effects of SMI and CMD effects on accelerated brain aging in the N = 1,618 (604 M/1,014 F, average age = 63.53 ± 7.38) subjects with SMI and N = 11,849 (5,719 M/6,130 F; 64.42 ± 7.38) controls from the UK Biobank. Subjects were subdivided based on diagnostic status: SMI+/CMD+ (N = 665), SMI+/CMD− (N = 964), SMI−/CMD+ (N = 3,765), SMI−/CMD− (N = 8,083). SMI (F = 40.47, p = 2.06 × 10−10) and CMD (F = 24.69, p = 6.82 × 10−7) significantly, independently impacted whole‐brain QRI in SMI+. SSD had the largest effect (Cohen’s d = 1.42) then BD (d = 0.55), and MDD (d = 0.15). Hypertension had a significant effect on SMI+ (d = 0.19) and SMI− (d = 0.14). SMI effects were direct, independent of MD, and remained significant after correcting for effects of antipsychotic medications. Whole‐brain QRI was significantly (p < 10−16) associated with the volume of white matter hyperintensities (WMH). However, WMH did not show significant association with SMI and was driven by CMD, chiefly hypertension (p < 10−16). We used a simple and robust index, QRI, the demonstrate additive effect of SMI and CMD on accelerated brain aging. We showed a greater effect of psychiatric illnesses on QRI compared to cardio‐metabolic illness. Our findings suggest that subjects with SMI should be among the targets for interventions to protect against age‐related cognitive decline.
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Affiliation(s)
- Meghann C Ryan
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - L Elliot Hong
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Kathryn S Hatch
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Si Gao
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Shuo Chen
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA.,Division of Biostatistics and Bioinformatics, Department of Public Health and Epidemiology, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Krystl Haerian
- Department of Clinical Research and Leadership, School of Medicine and Health Sciences, George Washington University, Washington, District of Columbia, USA
| | - Jingtao Wang
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA.,Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Eric L Goldwaser
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Xiaoming Du
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Bhim M Adhikari
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Heather Bruce
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Stephanie Hare
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Mark D Kvarta
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Neda Jahanshad
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, Los Angeles, California, USA
| | - Thomas E Nichols
- Nuffield Department of Population Health of the University of Oxford, Oxford, UK
| | - Paul M Thompson
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, Los Angeles, California, USA
| | - Peter Kochunov
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
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Gómez-Martínez C, Babio N, Júlvez J, Becerra-Tomás N, Martínez-González MÁ, Corella D, Castañer O, Romaguera D, Vioque J, Alonso-Gómez ÁM, Wärnberg J, Martínez JA, Serra-Majem L, Estruch R, Tinahones FJ, Lapetra J, Pintó X, Tur JA, López-Miranda J, Bueno-Cavanillas A, Gaforio JJ, Matía-Martín P, Daimiel L, Martín-Sánchez V, Vidal J, Vázquez C, Ros E, Dalsgaard S, Sayón-Orea C, Sorlí JV, de la Torre R, Abete I, Tojal-Sierra L, Barón-López FJ, Fernández-Brufal N, Konieczna J, García-Ríos A, Sacanella E, Bernal-López MR, Santos-Lozano JM, Razquin C, Alvarez-Sala A, Goday A, Zulet MA, Vaquero-Luna J, Diez-Espino J, Cuenca-Royo A, Fernández-Aranda F, Bulló M, Salas-Salvadó J. Glycemic Dysregulations Are Associated With Worsening Cognitive Function in Older Participants at High Risk of Cardiovascular Disease: Two-Year Follow-up in the PREDIMED-Plus Study. Front Endocrinol (Lausanne) 2021; 12:754347. [PMID: 34777250 PMCID: PMC8586462 DOI: 10.3389/fendo.2021.754347] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 09/22/2021] [Indexed: 11/28/2022] Open
Abstract
Introduction Type 2 diabetes has been linked to greater cognitive decline, but other glycemic parameters such as prediabetes, diabetes control and treatment, and HOMA-IR and HbA1c diabetes-related biomarkers have shown inconsistent results. Furthermore, there is limited research assessing these relationships in short-term studies. Thus, we aimed to examine 2-year associations between baseline diabetes/glycemic status and changes in cognitive function in older participants at high risk of cardiovascular disease. Methods We conducted a 2-year prospective cohort study (n=6,874) within the framework of the PREDIMED-Plus study. The participants (with overweight/obesity and metabolic syndrome; mean age 64.9 years; 48.5% women) completed a battery of 8 cognitive tests, and a global cognitive function Z-score (GCF) was estimated. At baseline, participants were categorized by diabetes status (no-diabetes, prediabetes, and <5 or ≥5-year diabetes duration), and also by diabetes control. Furthermore, insulin resistance (HOMA-IR) and glycated hemoglobin (HbA1c) levels were measured, and antidiabetic medications were recorded. Linear and logistic regression models, adjusted by potential confounders, were fitted to assess associations between glycemic status and changes in cognitive function. Results Prediabetes status was unrelated to cognitive decline. However, compared to participants without diabetes, those with ≥5-year diabetes duration had greater reductions in GCF (β=-0.11 (95%CI -0.16;-0.06)], as well as in processing speed and executive function measurements. Inverse associations were observed between baseline HOMA-IR and changes in GCF [β=-0.0094 (95%CI -0.0164;-0.0023)], but also between HbA1c levels and changes in GCF [β=-0.0085 (95%CI -0.0115, -0.0055)], the Mini-Mental State Examination, and other executive function tests. Poor diabetes control was inversely associated with phonologic fluency. The use of insulin treatment was inversely related to cognitive function as measured by the GCF [β=-0.31 (95%CI -0.44, -0.18)], and other cognitive tests. Conclusions Insulin resistance, diabetes status, longer diabetes duration, poor glycemic control, and insulin treatment were associated with worsening cognitive function changes in the short term in a population at high cardiovascular risk. Clinical Trial Registration http://www.isrctn.com/ISRCTN89898870, identifier ISRCTN: 89898870.
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Affiliation(s)
- Carlos Gómez-Martínez
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari San Joan de Reus, Reus, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Nancy Babio
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari San Joan de Reus, Reus, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain
| | - Jordi Júlvez
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari San Joan de Reus, Reus, Spain
| | - Nerea Becerra-Tomás
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari San Joan de Reus, Reus, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Miguel Á. Martínez-González
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IdISNA), University of Navarra, Pamplona, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Dolores Corella
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Olga Castañer
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Research Institute (IMIM), Barcelona, Spain
| | - Dora Romaguera
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases, Palma, Spain
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), ISCIII, Madrid, Spain
- Nutritional Epidemiology Unit, Miguel Hernandez University, Alicante, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante-Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain
| | - Ángel M. Alonso-Gómez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country Universidad del País Vasco / Euskal Herriko Unibertsitatea (UPV/EHU), Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- EpiPHAAN Research Group, School of Health Sciences, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Malaga, Malaga, Spain
| | - José A. Martínez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nutrition, Food Science and Physiology, Instituto de Investigación Sanitaria de Navarra (IdISNA), University of Navarra, Pamplona, Spain
- Cardiometabolic Nutrition Group, Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, Campus de Excelencia Internacional Universidad Autónoma de Madrid + Consejo Superior de Investigaciones Científicas (CEI UAM + CSIC), Madrid, Spain
| | - Luís Serra-Majem
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Institute of Biomedical and Health Sciences (IUIBS), Preventive Medicine Service, Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, University of Las Palmas de Gran Canaria, Las Palmas, Spain
| | - Ramón Estruch
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Internal Medicine, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Francisco J. Tinahones
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), Virgen de la Victoria Hospital, University of Malaga, Malaga, Spain
| | - José Lapetra
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Unit, Department of Family Medicine, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Xavier Pintó
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge-IBIDELL, Hospitalet de Llobregat, Barcelona, Spain
- Universitat de Barcelona, Barcelona, Spain
| | - Josep A. Tur
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands-Instituto Universitario de Investigación en Ciencias de la Salud (IUNICS) & Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - José López-Miranda
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Aurora Bueno-Cavanillas
- CIBER de Epidemiología y Salud Pública (CIBERESP), ISCIII, Madrid, Spain
- Department of Preventive Medicine, University of Granada, Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
| | - José J. Gaforio
- CIBER de Epidemiología y Salud Pública (CIBERESP), ISCIII, Madrid, Spain
- Departamento de Ciencias de la Salud, Instituto Universitario de Investigación en Olivar y Aceites de Oliva, Universidad de Jaén, Jaén, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Lidia Daimiel
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Vicente Martín-Sánchez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), ISCIII, Madrid, Spain
- Departament of Endocrinology, Instituto de Investigaciones Biomédicas August Pi i Sunyer (IDIBAPS), Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Clotilde Vázquez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology, Fundación Jiménez-Díaz, Madrid, Spain
| | - Emilio Ros
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipid Clinic, Department of Endocrinology and Nutrition, IDIBAPS, Hospital Clínic, Barcelona, Spain
| | - Søren Dalsgaard
- Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark
| | - Carmen Sayón-Orea
- Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IdISNA), University of Navarra, Pamplona, Spain
| | - José V. Sorlí
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Rafael de la Torre
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Integrated Pharmacology and Systems Neurosciences Research Group, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- Departamento de Ciencias Experimentales y de la Salud (CEXS), Universitat Pompeu Fabra, Barcelona, Spain
| | - Itziar Abete
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nutrition, Food Science and Physiology, Instituto de Investigación Sanitaria de Navarra (IdISNA), University of Navarra, Pamplona, Spain
| | - Lucas Tojal-Sierra
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country Universidad del País Vasco / Euskal Herriko Unibertsitatea (UPV/EHU), Vitoria-Gasteiz, Spain
| | - Francisco J. Barón-López
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- EpiPHAAN Research Group, School of Health Sciences, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Malaga, Malaga, Spain
| | | | - Jadwiga Konieczna
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases, Palma, Spain
| | - Antonio García-Ríos
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Emilio Sacanella
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Internal Medicine, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - M. Rosa Bernal-López
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Internal Medicine, Regional University Hospital of Malaga, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Malaga, Malaga, Spain
| | - José M. Santos-Lozano
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Unit, Department of Family Medicine, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Cristina Razquin
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IdISNA), University of Navarra, Pamplona, Spain
| | - Andrea Alvarez-Sala
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Albert Goday
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Research Institute (IMIM), Barcelona, Spain
| | - M. Angeles Zulet
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nutrition, Food Science and Physiology, Instituto de Investigación Sanitaria de Navarra (IdISNA), University of Navarra, Pamplona, Spain
| | - Jessica Vaquero-Luna
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country Universidad del País Vasco / Euskal Herriko Unibertsitatea (UPV/EHU), Vitoria-Gasteiz, Spain
| | - Javier Diez-Espino
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IdISNA), University of Navarra, Pamplona, Spain
- Gerencia de Atención Primaria Servicio Navarro de Salud-Osasunbidea, Navarra, Spain
| | - Aida Cuenca-Royo
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Research Institute (IMIM), Barcelona, Spain
| | - Fernando Fernández-Aranda
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Psychiatry, University Hospital of Bellvitge-Instituto de Investigación Biomédica de Bellvitge (IDIBELL), Barcelona, Spain
- Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
| | - Mònica Bulló
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari San Joan de Reus, Reus, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Jordi Salas-Salvadó
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari San Joan de Reus, Reus, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain
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Cansino S, Torres-Trejo F, Estrada-Manilla C, Castellanos-Domínguez E, Zamora-Olivares A, Ruiz Velasco S. Impact of diabetes on the accuracy and speed of accessing information from episodic and working memory. COGENT PSYCHOLOGY 2021. [DOI: 10.1080/23311908.2021.1982470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
Affiliation(s)
- Selene Cansino
- Laboratory of NeuroCognition, Faculty of Psychology, National Autonomous University of Mexico, Mexico City, Mexico
| | - Frine Torres-Trejo
- Laboratory of NeuroCognition, Faculty of Psychology, National Autonomous University of Mexico, Mexico City, Mexico
| | - Cinthya Estrada-Manilla
- Laboratory of NeuroCognition, Faculty of Psychology, National Autonomous University of Mexico, Mexico City, Mexico
| | - Eira Castellanos-Domínguez
- Laboratory of NeuroCognition, Faculty of Psychology, National Autonomous University of Mexico, Mexico City, Mexico
| | - Ana Zamora-Olivares
- Laboratory of NeuroCognition, Faculty of Psychology, National Autonomous University of Mexico, Mexico City, Mexico
| | - Silvia Ruiz Velasco
- Department of Probability and Statistics, Applied Mathematics and Systems Research Institute, National Autonomous University of Mexico, Mexico City, Mexico
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Thompson F, Harriss LR, Russell S, Taylor S, Cysique LA, Strivens E, Maruff P, McDermott R. Using health check data to investigate cognitive function in Aboriginal and Torres Strait Islanders living with diabetes in the Torres Strait, Australia. ENDOCRINOLOGY DIABETES & METABOLISM 2021; 5:e00297. [PMID: 34559471 PMCID: PMC8754245 DOI: 10.1002/edm2.297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 08/11/2021] [Accepted: 08/14/2021] [Indexed: 12/03/2022]
Abstract
Background Type 2 Diabetes (T2DM) has a subtle deleterious effect on cognition and imposes a higher lifetime risk of cognitive impairment and dementia. In populations where both T2DM and dementia are highly prevalent, understanding more about the early effects of T2DM on cognition may provide insights into the lifetime risks of this disease. Methods In 2016, 186 Australian Aboriginal and/or Torres Strait Islander residents of the Torres Strait (54% female, mean age =38.9 years, SD =15.9, range =15–74) participated in a community health check. The effect of diabetes (Type 1 or Type 2) on speed of thinking and working memory was assessed with the Cogstate Brief Battery (CBB) during the health check. Results One third of participants had diabetes (n = 56, 30.1%). After adjusting for age, education and previous iPad/Tablet experience, participants with diabetes had a small, yet significant reduction in accuracy on the One Back working memory task (β = −.076, p = .010, r2 = .042). The effect was most pronounced among participants with diabetes aged 20–49 years (n = 20), who also had evidence of poorer diabetes control (eg HbA1c% ≥6.5, 76.6%), relative to participants with diabetes aged 50 years and over (n = 31) (HbA1c% ≥6.5, 32.0%, p = .005). Conclusions Early and subtle decrements in working memory may be a potential complication of diabetes among Aboriginal and Torres Strait Islander residents of the Torres Strait. Several potentially influential variables were not captured in this study (eg medication and diabetes duration). Greater preventative health resources are required for this population, particularly given the emerging elevated dementia rates linked to chronic disease.
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Affiliation(s)
- Fintan Thompson
- Australian Institute of Tropical Health and Medicine, College of Public Health, Medical and Veterinary Sciences, James Cook University, Cairns, Qld, Australia
| | - Linton R Harriss
- Australian Institute of Tropical Health and Medicine, College of Public Health, Medical and Veterinary Sciences, James Cook University, Cairns, Qld, Australia.,College of Medicine and Dentistry, James Cook University, Cairns, Qld, Australia
| | - Sarah Russell
- College of Medicine and Dentistry, James Cook University, Cairns, Qld, Australia.,Queensland Health, Cairns and Hinterland Hospital and Health Service, Cairns, Qld, Australia
| | - Sean Taylor
- Top End Health Service, Northern Territory Government, Darwin, NT, Australia
| | - Lucette A Cysique
- School of Psychology, University of New South Wales, Sydney, NSW, Australia
| | - Edward Strivens
- College of Medicine and Dentistry, James Cook University, Cairns, Qld, Australia.,Queensland Health, Cairns and Hinterland Hospital and Health Service, Cairns, Qld, Australia
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Vadini F, Simeone PG, Desideri G, Liani R, Tripaldi R, Ciotti S, Tartaro A, Guagnano MT, Di Castelnuovo A, Cipollone F, Consoli A, Santilli F. Insulin resistance and NAFLD may influence memory performance in obese patients with prediabetes or newly-diagnosed type 2 diabetes. Nutr Metab Cardiovasc Dis 2021; 31:2685-2692. [PMID: 34226120 DOI: 10.1016/j.numecd.2021.05.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Revised: 05/06/2021] [Accepted: 05/21/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND AND AIMS Diabetes has consistently been shown to increase risk for cognitive decline. Cognitive deficits may occur at the very earliest stages of diabetes. We sought to estimate the determinants of memory function in a group of middle-aged obese subjects with prediabetes or newly-diagnosed type 2 diabetes mellitus. METHODS AND RESULTS Sixty-two obese patients in treatment with metformin-with prediabetes (n = 41) or newly diagnosed T2DM (n = 21), were studied. Short- and long-term memory function was assessed through a neuropsychological assessment consisting of two tests and a composite domain z score was calculated. Cardiometabolic variables, such as abdominal MRI quantification of subcutaneous (SAT) and visceral (VAT) adipose tissue content, and of intra-hepatocellular lipid content, as well as insulin sensitivity (Matsuda Index, HOMA-IR) and beta cell performance (Beta Index), by multiple sampling, 8-point oral glucose tolerance test, were also evaluated. Age, non-alcoholic fatty liver disease (NAFLD), and lnHOMA-IR together explained 18% (R square) of the variance in memory domain. Including NAFLD increased the explained variance by 8% and including lnHOMA-IR by 9.1%, whereas the contribution of age and other factors was negligible. CONCLUSION Preventing and managing insulin resistance in precocious and possibly earlier stages of diabetes might provide benefit in slowering down future cognitive decline.
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Affiliation(s)
- Francesco Vadini
- Psychoinfectivology Service, Pescara General Hospital, Pescara, Italy
| | - Paola G Simeone
- G. d Annunzio University, Department of Medicine and Aging, Center for Advanced Studies and Technology (CAST), Chieti, Italy
| | - Giovambattista Desideri
- Department of Life, Health & Environmental Sciences, University of L'Aquila, Piazzale S. Tommasi, Coppito, L'Aquila, Italy
| | - Rossella Liani
- G. d Annunzio University, Department of Medicine and Aging, Center for Advanced Studies and Technology (CAST), Chieti, Italy
| | - Romina Tripaldi
- G. d Annunzio University, Department of Medicine and Aging, Center for Advanced Studies and Technology (CAST), Chieti, Italy
| | - Sonia Ciotti
- G. d Annunzio University, Department of Medicine and Aging, Center for Advanced Studies and Technology (CAST), Chieti, Italy
| | - Armando Tartaro
- Department of Neuroscience & Imaging, University of Chieti, Italy
| | - Maria T Guagnano
- G. d Annunzio University, Department of Medicine and Aging, Center for Advanced Studies and Technology (CAST), Chieti, Italy
| | | | - Francesco Cipollone
- G. d Annunzio University, Department of Medicine and Aging, Center for Advanced Studies and Technology (CAST), Chieti, Italy
| | - Agostino Consoli
- G. d Annunzio University, Department of Medicine and Aging, Center for Advanced Studies and Technology (CAST), Chieti, Italy
| | - Francesca Santilli
- G. d Annunzio University, Department of Medicine and Aging, Center for Advanced Studies and Technology (CAST), Chieti, Italy.
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Flintoff J, Kesby JP, Siskind D, Burne TH. Treating cognitive impairment in schizophrenia with GLP-1RAs: an overview of their therapeutic potential. Expert Opin Investig Drugs 2021; 30:877-891. [PMID: 34213981 DOI: 10.1080/13543784.2021.1951702] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
INTRODUCTION Schizophrenia is a neuropsychiatric disorder that affects approximately 1% of individuals worldwide. There are no available medications to treat cognitive impairment in this patient population currently. Preclinical evidence suggests that glucagon-like peptide-1 receptor agonists (GLP-1 RAs) improve cognitive function. There is a need to evaluate how GLP-1 RAs alter specific domains of cognition and whether they will be of therapeutic benefit in individuals with schizophrenia. AREAS COVERED This paper summarizes the effects of GLP-1 RAs on metabolic processes in the brain and how these mechanisms relate to improved cognitive function. We provide an overview of preclinical studies that demonstrate GLP-1 RAs improve cognition and comment on their potential therapeutic benefit in individuals with schizophrenia. EXPERT OPINION To understand the benefits of GLP-1 RAs in individuals with schizophrenia, further preclinical research with rodent models relevant to schizophrenia symptomology are needed. Moreover, preclinical studies must focus on using a wider range of behavioral assays to understand whether important aspects of cognition such as executive function, attention, and goal-directed behavior are improved using GLP-1 RAs. Further research into the specific mechanisms of how GLP-1 RAs affect cognitive function and their interactions with antipsychotic medication commonly prescribed is necessary.
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Affiliation(s)
- Jonathan Flintoff
- Queensland Brain Institute, the University of Queensland, St Lucia, QLD, Australia
| | - James P Kesby
- Queensland Brain Institute, the University of Queensland, St Lucia, QLD, Australia.,QIMR Berghofer Medical Research Institute, Herston, QLD, Australia
| | - Dan Siskind
- Queensland Centre for Mental Health Research, Wacol, QLD, Australia.,Metro South Addiction and Mental Health Service, Woolloongabba, QLD, Australia
| | - Thomas Hj Burne
- Queensland Brain Institute, the University of Queensland, St Lucia, QLD, Australia.,Queensland Centre for Mental Health Research, Wacol, QLD, Australia
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28
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Paul S, Saha D, Bk B. Mitochondrial Dysfunction and Mitophagy Closely Cooperate in Neurological Deficits Associated with Alzheimer's Disease and Type 2 Diabetes. Mol Neurobiol 2021; 58:3677-3691. [PMID: 33797062 DOI: 10.1007/s12035-021-02365-2] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 03/19/2021] [Indexed: 12/27/2022]
Abstract
Alzheimer's disease (AD) and type 2 diabetes (T2D) are known to be correlated in terms of their epidemiology, histopathology, and molecular and biochemical characteristics. The prevalence of T2D leading to AD is approximately 50-70%. Moreover, AD is often considered type III diabetes because of the common risk factors. Uncontrolled T2D may affect the brain, leading to memory and learning deficits in patients. In addition, metabolic disorders and impaired oxidative phosphorylation in AD and T2D patients suggest that mitochondrial dysfunction is involved in both diseases. The dysregulation of pathways involved in maintaining mitochondrial dynamics, biogenesis and mitophagy are responsible for exacerbating the impact of hyperglycemia on the brain and neurodegeneration under T2D conditions. The first section of this review describes the recent views on mitochondrial dysfunction that connect these two disease conditions, as the pathways are observed to overlap. The second section of the review highlights the importance of different mitochondrial miRNAs (mitomiRs) involved in the regulation of mitochondrial dynamics and their association with the pathogenesis of T2D and AD. Therefore, targeting mitochondrial biogenesis and mitophagy pathways, along with the use of mitomiRs, could be a potent therapeutic strategy for T2D-related AD. The last section of the review highlights the known drugs targeting mitochondrial function for the treatment of both disease conditions.
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Affiliation(s)
- Sangita Paul
- CSIR-Institute of Genomics and Integrative Biology, Delhi, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Debarpita Saha
- CSIR-Institute of Genomics and Integrative Biology, Delhi, India
| | - Binukumar Bk
- CSIR-Institute of Genomics and Integrative Biology, Delhi, India. .,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.
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Maiuolo J, Gliozzi M, Musolino V, Carresi C, Scarano F, Nucera S, Scicchitano M, Bosco F, Ruga S, Zito MC, Macri R, Bulotta R, Muscoli C, Mollace V. From Metabolic Syndrome to Neurological Diseases: Role of Autophagy. Front Cell Dev Biol 2021; 9:651021. [PMID: 33816502 PMCID: PMC8017166 DOI: 10.3389/fcell.2021.651021] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Accepted: 02/26/2021] [Indexed: 12/17/2022] Open
Abstract
Metabolic syndrome is not a single pathology, but a constellation of cardiovascular disease risk factors including: central and abdominal obesity, systemic hypertension, insulin resistance (or type 2 diabetes mellitus), and atherogenic dyslipidemia. The global incidence of Metabolic syndrome is estimated to be about one quarter of the world population; for this reason, it would be desirable to better understand the underlying mechanisms involved in order to develop treatments that can reduce or eliminate the damage caused. The effects of Metabolic syndrome are multiple and wide ranging; some of which have an impact on the central nervous system and cause neurological and neurodegenerative diseases. Autophagy is a catabolic intracellular process, essential for the recycling of cytoplasmic materials and for the degradation of damaged cellular organelle. Therefore, autophagy is primarily a cytoprotective mechanism; even if excessive cellular degradation can be detrimental. To date, it is known that systemic autophagic insufficiency is able to cause metabolic balance deterioration and facilitate the onset of metabolic syndrome. This review aims to highlight the current state of knowledge regarding the connection between metabolic syndrome and the onset of several neurological diseases related to it. Furthermore, since autophagy has been found to be of particular importance in metabolic disorders, the probable involvement of this degradative process is assumed to be responsible for the attenuation of neurological disorders resulting from metabolic syndrome.
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Affiliation(s)
- Jessica Maiuolo
- IRC-FSH Department of Health Sciences, University "Magna Graecia" of Catanzaro, Catanzaro, Italy
| | - Micaela Gliozzi
- IRC-FSH Department of Health Sciences, University "Magna Graecia" of Catanzaro, Catanzaro, Italy
| | - Vincenzo Musolino
- IRC-FSH Department of Health Sciences, University "Magna Graecia" of Catanzaro, Catanzaro, Italy
| | - Cristina Carresi
- IRC-FSH Department of Health Sciences, University "Magna Graecia" of Catanzaro, Catanzaro, Italy
| | - Federica Scarano
- IRC-FSH Department of Health Sciences, University "Magna Graecia" of Catanzaro, Catanzaro, Italy
| | - Saverio Nucera
- IRC-FSH Department of Health Sciences, University "Magna Graecia" of Catanzaro, Catanzaro, Italy
| | - Miriam Scicchitano
- IRC-FSH Department of Health Sciences, University "Magna Graecia" of Catanzaro, Catanzaro, Italy
| | - Francesca Bosco
- IRC-FSH Department of Health Sciences, University "Magna Graecia" of Catanzaro, Catanzaro, Italy
| | - Stefano Ruga
- IRC-FSH Department of Health Sciences, University "Magna Graecia" of Catanzaro, Catanzaro, Italy
| | - Maria Caterina Zito
- IRC-FSH Department of Health Sciences, University "Magna Graecia" of Catanzaro, Catanzaro, Italy
| | - Roberta Macri
- IRC-FSH Department of Health Sciences, University "Magna Graecia" of Catanzaro, Catanzaro, Italy
| | - Rosamaria Bulotta
- IRC-FSH Department of Health Sciences, University "Magna Graecia" of Catanzaro, Catanzaro, Italy
| | - Carolina Muscoli
- IRC-FSH Department of Health Sciences, University "Magna Graecia" of Catanzaro, Catanzaro, Italy.,IRCCS San Raffaele, Rome, Italy
| | - Vincenzo Mollace
- IRC-FSH Department of Health Sciences, University "Magna Graecia" of Catanzaro, Catanzaro, Italy.,IRCCS San Raffaele, Rome, Italy
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Naguib R, Soliman ES, Neimatallah FM, AlKhudhairy NS, ALGhamdi AM, Almosa RS, Aldashash KA, Alkhalifah BY, Elmorshedy H. Cognitive impairment among patients with diabetes in Saudi Arabia: a cross-sectional study. MIDDLE EAST CURRENT PSYCHIATRY 2020. [DOI: 10.1186/s43045-020-00058-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
The incidence of cognitive impairment (CI) is higher in patients with diabetes mellitus (DM). The association between DM and CI and the risk factors for CI need to be addressed to estimate the prevalence of cognitive impairment in patients with DM and to identify the potential risk factors. The study is a cross-sectional study using a convenient sample of 269 subjects. Sociodemographic diabetes-related variables including biochemical markers were collected. CI and diabetes-related distress (DRD) were assessed using the Arabic version of Montreal Cognitive Assessment scale (MoCA) and the Diabetes Distress Screening Scale respectively.
Results
Overall, 80.3% had cognitive impairment while 33.8% had severe impairment. Older age, female gender, low level of education, and low income were associated with CI; duration of diabetes and DRD were associated with CI while ophthalmic complications were associated with severe CI. Duration of diabetes was inversely associated with CI. Level of HbA1c was significantly higher in patients with severe CI, and the probability of CI increased as the level of HbA1c increased. Low level of education was associated with severe CI, and CI was two times more likely among patients with DRD.
Conclusion
CI was higher than worldwide figures. Elderly females with low educational level, long duration of DM, and low socioeconomic status are at more risk. The probability of severe CI increased with increased level of HbA1c. Screening for CI in patients with diabetes along with intervention programs while considering the DRD and the level of HbA1c is crucial.
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Furlano JA, Nagamatsu LS. Feasibility of a 26-Week Exercise Program to Improve Brain Health in Older Adults at Risk for Type 2 Diabetes: A Pilot Study. Can J Diabetes 2020; 45:546-552. [PMID: 33358932 DOI: 10.1016/j.jcjd.2020.11.001] [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: 07/14/2020] [Revised: 11/10/2020] [Accepted: 11/10/2020] [Indexed: 11/16/2022]
Abstract
OBJECTIVES Older adults at risk for type 2 diabetes (i.e. overweight individuals or those with prediabetes) experience accelerated cognitive and brain deficits. Aerobic training is known to improve these deficits, but the effects of resistance training are relatively unknown. Before conducting a large-scale, randomized, controlled trial to assess the effects of resistance training, we first conducted a pilot feasibility study to examine recruitment, attendance and retention rates in this population. METHODS Program participants (aged 60 to 80 years, mean age 68.7±5.7 years, 50% females) at risk for type 2 diabetes (body mass index of ≥25 or fasting blood glucose of 6.1 to <7 mmol/L) underwent 26 weeks of thrice-weekly progressive resistance training (n=13) or balance-and-tone exercises (control group, n=11). Recruitment, attendance and retention rates were recorded, and study feedback from program participants and research assistants was collected via questionnaires. RESULTS We recruited 72 older adults (total number enrolled = 24) over 17 months. Program retention and attendance were 95.8% and 84.4%, respectively. Program participants and research assistants expressed a high level of study enjoyment, and suggestions on how to improve study procedures were provided. CONCLUSIONS Based on our findings, a large-scale study in this at-risk group of older adults is feasible, and key strategies to improving future trials were identified.
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Affiliation(s)
- Joyla A Furlano
- School of Kinesiology, Western University, London, Ontario, Canada
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32
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Mehra A, Sangwan G, Grover S, Kathirvel S, Avasthi A. Prevalence of Psychiatric Morbidity and Cognitive Impairment among Patients Attending the Rural Noncommunicable Disease Clinic. J Neurosci Rural Pract 2020; 11:585-592. [PMID: 33144795 PMCID: PMC7595800 DOI: 10.1055/s-0040-1715540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
Objective
This study aimed to assess the prevalence of cognitive impairment and psychiatric morbidity among the patients attending the rural noncommunicable disease clinic after controlling for various confounders (i.e., psychological morbidity, obesity, gender, level of education, duration of the illness and age).
Materials and Methods
One-hundred twenty-four patients were evaluated on the Hindi Mental State Examination for the cognitive function, Physical Health Questionnaire-9 for depression, and Generalized Anxiety Disorder-7 for anxiety disorders.
Results
About one-fourth (26.6%) of the participants had cognitive impairment. The prevalence of cognitive impairment was more among patients with hypertension (35.5%) as compared with the diabetes mellitus (13.6%) and those with comorbid hypertension and diabetes mellitus (26.6%). About one of the participants had depression (35.5%) and 29% of the patients had anxiety disorder. No significant difference was found in the level of cognitive deficits between those with hypertension and diabetes mellitus, when the confounding factors were not taken into account in the analysis. However, after controlling for psychiatric morbidity, obesity, gender, level of education, duration of the illness and age, those with hypertension were found to have significantly higher level of cognitive impairment compared with those with diabetes mellitus. A higher level of dysfunction was seen in the domains of orientation, registration, attention, recall, language, and visuospatial domains.
Conclusion
Present study suggests that patients of hypertension have higher level of cognitive impairment, when compared with those with diabetes mellitus, even after controlling for various confounders. Lack of difference between the two groups can be accounted by the confounding variables.
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Affiliation(s)
- Aseem Mehra
- Department of Psychiatry, Postgraduate Institute Medical Education and Research, Chandigarh, Punjab, India
| | - Garima Sangwan
- Department of Community Medicine and School of Public Health, Postgraduate Institute Medical Education and Research, Chandigarh, Punjab, India
| | - Sandeep Grover
- Department of Psychiatry, Postgraduate Institute Medical Education and Research, Chandigarh, Punjab, India
| | - Soundappan Kathirvel
- Department of Community Medicine and School of Public Health, Postgraduate Institute Medical Education and Research, Chandigarh, Punjab, India
| | - Ajit Avasthi
- Department of Psychiatry, Postgraduate Institute Medical Education and Research, Chandigarh, Punjab, India
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Diabetes and dementia - the two faces of Janus. ACTA ACUST UNITED AC 2020; 5:e186-e197. [PMID: 32832719 PMCID: PMC7433787 DOI: 10.5114/amsad.2020.97433] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Accepted: 04/18/2020] [Indexed: 01/03/2023]
Abstract
Patients with type 2 diabetes are at high risk for cognitive decline and dementia. Despite the limited data on the possible pathogenetic mechanisms, evidence suggests that cognitive decline, and thus dementia and Alzheimer’s disease, might arise from a complex interplay between type 2 diabetes and the aging brain, including decreased insulin signalling and glucose metabolism, mitochondrial dysfunction, neuroinflammation, and vascular disease. Furthermore, there is increasing interest on the effects of antidiabetic agents on cognitive decline. There are many studies showing that antidiabetic agents might have beneficial effects on the brain, mainly through inhibition of oxidative stress, inflammation, and apoptosis. In addition, experimental studies on patients with diabetes and Alzheimer’s disease have shown beneficial effects on synaptic plasticity, metabolism of amyloid-β, and microtubule-associated protein tau. Therefore, in the present review, we discuss the effects of antidiabetic agents in relation to cognitive decline, and in particular dementia and Alzheimer’s disease, in patients with type 2 diabetes.
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34
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Proteotoxicity and mitochondrial dynamics in aging diabetic brain. Pharmacol Res 2020; 159:104948. [PMID: 32450345 DOI: 10.1016/j.phrs.2020.104948] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Revised: 05/07/2020] [Accepted: 05/19/2020] [Indexed: 12/26/2022]
Abstract
Impaired neuronal proteostasis is a salient feature of both aging and protein misfolding disorders. Amyloidosis, a consequence of this phenomena is observed in the brains of diabetic patients over the chronic time period. These toxic aggregates not only cause age-related decline in proteostasis, but also dwindle its ability to increase or restore the chaperones in response to any stressful condition. Mitochondria acts as the main source of energy regulation and many metabolic disorders such as diabetes have been associated with altered oxidative phosphorylation (OxPhos) and redox imbalance in the mitochondria. The mitochondrial unfolded protein response (UPRmt) acts as a mediator for maintaining the mitochondrial protein homeostasis and quality control during such conditions. Over a long time period, these responses start shutting off leading to proteotoxic stress in the neurons. This reduces the buffering capacity of protein network signalling during aging, thereby increasing the risk of neurodegeneration in the brain. In this review, we focus on the proteotoxic stress that occurs as an amalgamation of diabetes and aging, as well as the impact of mitochondrial dysfunction on the neuronal survival affecting the diabetic brain and its long term consequences on the memory changes.
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35
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Cooke S, Pennington K, Jones A, Bridle C, Smith MF, Curtis F. Effects of exercise, cognitive, and dual-task interventions on cognition in type 2 diabetes mellitus: A systematic review and meta-analysis. PLoS One 2020; 15:e0232958. [PMID: 32407347 PMCID: PMC7224461 DOI: 10.1371/journal.pone.0232958] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Accepted: 04/25/2020] [Indexed: 12/15/2022] Open
Abstract
Introduction Previous evidence has shown significant effects of exercise, cognitive and dual-task training for improving cognition in healthy cohorts. The effects of these types of interventions in type 2 diabetes mellitus is unclear. The aim of this research was to systematically review evidence, and estimate the effect, of exercise, cognitive, and dual-task interventions on cognition in type 2 diabetes mellitus. Method Electronic databases including PubMed, EMBASE, CINAHL, PsycINFO, SPORTDiscus, and MEDLINE were searched for ongoing and completed interventional trials investigating the effect of either an exercise, cognitive or dual-task intervention on cognition in type 2 diabetes mellitus. Results Nine trials met the inclusion criteria–one dual-task, two cognitive, and six exercise. Meta-analyses of exercise trials showed no significant effects of exercise on measures of executive function (Stroop task, SMD = -0.31, 95% CI -0.71–0.09, P = 0.13, trail making test part A SMD = 0.28, 95% CI -0.20–0.77 P = 0.25, trail making test part B SMD = -0.15, 95% CI -0.64–0.34 P = 0.54, digit symbol SMD = 0.09, 95% CI -0.39–0.57 P = 0.72), and memory (immediate memory SMD = 0.20, 95% CI -0.28–0.69, P = 0.41 and delayed memory SMD = -0.06, 95% CI -0.55–0.42, P = 0.80). A meta-analysis could not be conducted using cognitive or dual-task data, but individual trials did report a favourable effect of interventions on cognition. Risk of bias was considered moderate to high for the majority of included trials. Conclusions Meta-analyses of exercise trials identified a small effect size (0.31), which whilst not significant warrants further investigation. Larger and more robust trials are needed that report evidence using appropriate reporting guidelines (e.g. CONSORT) to increase confidence in the validity of results. Trial registration Protocol was registered (CRD42017058526) on the International Prospective Register of Systematic Reviews (http://www.crd.york.ac.uk/PROSPERO).
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Affiliation(s)
- Samuel Cooke
- Lincoln International Institute for Rural Health, University of Lincoln, Lincoln, United Kingdom
| | - Kyla Pennington
- School of Psychology, University of Lincoln, Lincoln, United Kingdom
| | - Arwel Jones
- Lincoln International Institute for Rural Health, University of Lincoln, Lincoln, United Kingdom
| | - Chris Bridle
- School of Psychology, University of Bedfordshire, Luton, United Kingdom
| | - Mark F. Smith
- School of Sports and Exercise Science, University of Lincoln, Lincoln, United Kingdom
| | - Ffion Curtis
- Lincoln International Institute for Rural Health, University of Lincoln, Lincoln, United Kingdom
- * E-mail:
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36
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Mollon J, Curran JE, Mathias SR, Knowles EEM, Carlisle P, Fox PT, Olvera RL, Göring HHH, Rodrigue A, Almasy L, Duggirala R, Blangero J, Glahn DC. Neurocognitive impairment in type 2 diabetes: evidence for shared genetic aetiology. Diabetologia 2020; 63:977-986. [PMID: 32016567 PMCID: PMC7150650 DOI: 10.1007/s00125-020-05101-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Accepted: 01/15/2020] [Indexed: 01/02/2023]
Abstract
AIMS/HYPOTHESIS Type 2 diabetes is associated with cognitive impairments, but it is unclear whether common genetic factors influence both type 2 diabetes risk and cognition. METHODS Using data from 1892 Mexican-American individuals from extended pedigrees, including 402 with type 2 diabetes, we examined possible pleiotropy between type 2 diabetes and cognitive functioning, as measured by a comprehensive neuropsychological test battery. RESULTS Negative phenotypic correlations (ρp) were observed between type 2 diabetes and measures of attention (Continuous Performance Test [CPT d']: ρp = -0.143, p = 0.001), verbal memory (California Verbal Learning Test [CVLT] recall: ρp = -0.111, p = 0.004) and face memory (Penn Face Memory Test [PFMT]: ρp = -0.127, p = 0.002; PFMT Delayed: ρp = -0.148, p = 2 × 10-4), replicating findings of cognitive impairment in type 2 diabetes. Negative genetic correlations (ρg) were also observed between type 2 diabetes and measures of attention (CPT d': ρg = -0.401, p = 0.001), working memory (digit span backward test: ρg = -0.380, p = 0.005), and face memory (PFMT: ρg = -0.476, p = 2 × 10-4; PFMT Delayed: ρg = -0.376, p = 0.005), suggesting that the same genetic factors underlying risk for type 2 diabetes also influence poor cognitive performance in these domains. Performance in these domains was also associated with type 2 diabetes risk using an endophenotype ranking value approach. Specifically, on measures of attention (CPT d': β = -0.219, p = 0.005), working memory (digit span backward: β = -0.326, p = 0.035), and face memory (PFMT: β = -0.171, p = 0.023; PFMT Delayed: β = -0.215, p = 0.005), individuals with type 2 diabetes showed the lowest performance, while unaffected/unrelated individuals showed the highest performance, and those related to an individual with type 2 diabetes performed at an intermediate level. CONCLUSIONS/INTERPRETATION These findings suggest that cognitive impairment may be a useful endophenotype of type 2 diabetes and, therefore, help to elucidate the pathophysiological underpinnings of this chronic disease. DATA AVAILABILITY The data analysed in this study is available in dbGaP: www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001215.v2.p2.
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Affiliation(s)
- Josephine Mollon
- Department of Psychiatry, Boston Children's Hospital, Harvard Medical School, 1 Autumn Street, BCH 3428, Boston, MA, 02115, USA.
| | - Joanne E Curran
- Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA
- South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA
| | - Samuel R Mathias
- Department of Psychiatry, Boston Children's Hospital, Harvard Medical School, 1 Autumn Street, BCH 3428, Boston, MA, 02115, USA
| | - Emma E M Knowles
- Department of Psychiatry, Boston Children's Hospital, Harvard Medical School, 1 Autumn Street, BCH 3428, Boston, MA, 02115, USA
| | - Phoebe Carlisle
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford, CT, USA
| | - Peter T Fox
- Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Rene L Olvera
- Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
- Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Harald H H Göring
- Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA
- South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA
| | - Amanda Rodrigue
- Department of Psychiatry, Boston Children's Hospital, Harvard Medical School, 1 Autumn Street, BCH 3428, Boston, MA, 02115, USA
| | - Laura Almasy
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ravi Duggirala
- Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA
- South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA
| | - John Blangero
- Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA
- South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA
| | - David C Glahn
- Department of Psychiatry, Boston Children's Hospital, Harvard Medical School, 1 Autumn Street, BCH 3428, Boston, MA, 02115, USA
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford, CT, USA
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Yorke E, Boima V, Dey ID, Ganu V, Nkornu N, Acquaye KS, Mate-Kole CC. Comparison of neurocognitive changes among newly diagnosed tuberculosis patients with and without dysglycaemia. BMC Psychiatry 2020; 20:143. [PMID: 32245444 PMCID: PMC7119271 DOI: 10.1186/s12888-020-02570-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Accepted: 03/25/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Diabetes often occurs together with tuberculosis (TB) and both may affect each other negatively. Diabetes may be associated with neurocognitive dysfunctioning in affected patients and may negatively impact treatment adherence and outcomes. This study compared the neurocognitive status between newly diagnosed smear positive tuberculosis patients with dysglycaemia and those with normoglycaemia. METHODS The current study was a cross-sectional study involving one hundred and forty-six (146) newly diagnosed smear positive TB patients. Oral glucose tolerance test (OGTT) was performed and the results were categorized as either normoglycaemia, impaired glucose tolerance (IGT), impaired fasting glucose (IFG) or diabetes. Neurocognitive functioning among study participants was assessed at the time of TB diagnosis using Cognitive Failure Questionnaire (CFQ), Montreal Cognitive Assessment tool (MoCA), California Verbal Learning Test (CVLT), Brief Symptom Inventory (BSI) and the Spitzer Quality of Life Index (QLI). RESULTS The mean age of the participants (n = 146) was 38.7 years with 78.8% being males and 21.2% females. Using the fasting blood glucose test, the prevalence of impaired fasting glucose and diabetes were 5.5 and 3.4% respectively, both representing a total of 13 out of the 146 participants; whilst the prevalence of impaired glucose tolerance and diabetes using 2-h post-glucose values were 28.8 and 11.6% respectively, both representing a total of 59 out of the 146 participants. There were no significant differences in the mean scores on the neurocognitive measures between the dysglaycaemia and normoglycamic groups using fasting plasma glucose (FPG). However, there were significant differences in the mean scores between the dysglycaemia and normal groups using 2-h postprandial (2HPP) glucose values on Phobic Anxiety (Normal, Mean = 0.38 ± 0.603; dysglycaemia, Mean = 0.23 ± 0.356; p = 0.045), and Montreal Cognitive Assessment (MoCA) scores (17.26 ± 5.981 vs. 15.04 ± 5.834, p = 0.037). CONCLUSION Newly diagnosed smear positive patients with dysglycaemia were associated with significantly lower mean cognitive scores and scores on phobic anxiety than those with normoglyacaemia. The latter finding must be further explored.
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Affiliation(s)
- Ernest Yorke
- Department of Medicine & Therapeutics, School of Medicine & Dentistry, College of Health Sciences, University of Ghana, Legon, Accra Ghana
| | - Vincent Boima
- Department of Medicine & Therapeutics, School of Medicine & Dentistry, College of Health Sciences, University of Ghana, Legon, Accra Ghana
| | - Ida Dzifa Dey
- Department of Medicine & Therapeutics, School of Medicine & Dentistry, College of Health Sciences, University of Ghana, Legon, Accra Ghana
| | - Vincent Ganu
- Department of Medicine, Korle-Bu Teaching Hospital, Accra, Ghana
| | - Norah Nkornu
- Department of Psychology, School of Social Sciences, College of Humanities, University of Ghana, Accra, Ghana
| | - Kelvin Samuel Acquaye
- Department of Social and Behavioural Sciences, School of Public Health, University of Ghana, Accra, Ghana
| | - C. Charles Mate-Kole
- Department of Psychology, School of Social Sciences, College of Humanities, University of Ghana, Accra, Ghana
- Department of Psychiatry, School of Medicine & Dentistry, College of Health Sciences, Korle-Bu, Accra, Ghana
- Centre for Ageing Studies, College of Humanities, University of Ghana, Accra, Ghana
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Storey S, Cohee A, Gathirua-Mwangi WG, Vachon E, Monahan P, Otte J, Stump TE, Cella D, Champion V. Impact of Diabetes on the Symptoms of Breast Cancer Survivors. Oncol Nurs Forum 2020; 46:473-484. [PMID: 31225841 DOI: 10.1188/19.onf.473-484] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
OBJECTIVES To examine the impact of diabetes on the symptoms of women with breast cancer. SAMPLE & SETTING 121 women with breast cancer who self-identified as having a diabetes diagnosis and 1,006 women with breast cancer without diabetes from 97 sites across the United States. METHODS & VARIABLES Symptom scores for depression, anxiety, sexual function, peripheral neuropathy, physical function, attention function, sleep disturbance, and fatigue were compared between women with breast cancer and diabetes and women with breast cancer without diabetes, controlling for age, education, income, marital status, and body mass index (BMI). RESULTS Women with breast cancer and diabetes who were three to eight years postdiagnosis reported poorer physical and attention function, more sleep disturbance, and greater fatigue than women with breast cancer without diabetes. Age, education, income, and BMI were independent predictors of symptoms experienced by women with breast cancer. IMPLICATIONS FOR NURSING Oncology nurses can assess and monitor women with breast cancer and diabetes for increased post-treatment sequelae. If problematic symptoms are identified, implementing treatment plans can decrease symptom burden and increase quality of life for women with breast cancer and diabetes.
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Bahar-Fuchs A, Barendse MEA, Bloom R, Ravona-Springer R, Heymann A, Dabush H, Bar L, Slater-Barkan S, Rassovsky Y, Schnaider Beeri M. Computerized Cognitive Training for Older Adults at Higher Dementia Risk due to Diabetes: Findings From a Randomized Controlled Trial. J Gerontol A Biol Sci Med Sci 2020; 75:747-754. [PMID: 30868154 PMCID: PMC7931965 DOI: 10.1093/gerona/glz073] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2018] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND To evaluate the effects of adaptive and tailored computerized cognitive training on cognition and disease self-management in older adults with diabetes. METHODS This was a single-blind trial. Eighty-four community-dwelling older adults with diabetes were randomized into a tailored and adaptive computerized cognitive training or a generic, non-tailored or adaptive computerized cognitive training condition. Both groups trained for 8 weeks on the commercially available CogniFit program and were supported by a range of behavior change techniques. Participants in each condition were further randomized into a global or cognition-specific self-efficacy intervention, or to a no self-efficacy condition. The primary outcome was global cognition immediately following the intervention. Secondary outcomes included diabetes self-management, meta-memory, mood, and self-efficacy. Assessments were conducted at baseline, immediately after the training, and at a 6-month follow-up. RESULTS Adherence and retention were lower in the generic computerized cognitive training condition, but the self-efficacy intervention was not associated with adherence. Moderate improvements in performance on a global cognitive composite at the posttreatment assessments were observed in both cognitive training conditions, with further small improvement observed at the 6-month follow-up. Results for diabetes self-management showed a modest improvement on self-rated diabetes care for both intervention conditions following the treatment, which was maintained at the 6-month follow-up. CONCLUSIONS Our findings suggest that older adults at higher dementia risk due to diabetes can show improvements in both cognition and disease self-management following home-based multidomain computerized cognitive training. These findings also suggest that adaptive difficulty and individual task tailoring may not be critical components of such interventions. TRIAL REGISTRATION NCT02709629.
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Affiliation(s)
- Alex Bahar-Fuchs
- Academic Unit for Psychiatry of Old Age, Department of Psychiatry, University of Melbourne, Victoria, Australia
- Joseph Sagol Neuroscience Center, Sheba Medical Center, Ramat Gan, Israel
- Center for Research on Aging, Health, and Wellbeing, Research School of Population Health, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Marjolein E A Barendse
- Academic Unit for Psychiatry of Old Age, Department of Psychiatry, University of Melbourne, Victoria, Australia
| | - Rachel Bloom
- Joseph Sagol Neuroscience Center, Sheba Medical Center, Ramat Gan, Israel
- Department of Psychology, Bar-Ilan University, Ramat Gan
| | - Ramit Ravona-Springer
- Joseph Sagol Neuroscience Center, Sheba Medical Center, Ramat Gan, Israel
- Sackler School of Medicine, Tel-Aviv University
| | - Anthony Heymann
- Sackler School of Medicine, Tel-Aviv University
- Maccabi Healthcare Services, Tel-Aviv
| | - Hai Dabush
- Joseph Sagol Neuroscience Center, Sheba Medical Center, Ramat Gan, Israel
| | - Lior Bar
- Joseph Sagol Neuroscience Center, Sheba Medical Center, Ramat Gan, Israel
| | | | - Yuri Rassovsky
- Department of Psychology, Bar-Ilan University, Ramat Gan
- Leslie and Susan Gonda (Goldschmied) Multidisciplinary Brain Research Center, Bar-Ilan University, Ramat Gan, Israel
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles (UCLA)
| | - Michal Schnaider Beeri
- Joseph Sagol Neuroscience Center, Sheba Medical Center, Ramat Gan, Israel
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York
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Chung J, Miller BJ. Meta-analysis of comorbid diabetes and family history of diabetes in non-affective psychosis. Schizophr Res 2020; 216:41-47. [PMID: 31806529 DOI: 10.1016/j.schres.2019.10.062] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Revised: 10/24/2019] [Accepted: 10/31/2019] [Indexed: 01/05/2023]
Abstract
OBJECTIVE Schizophrenia and other non-affective psychoses (NAP) are associated with an increased prevalence of both type 2 diabetes (DM2) as well as a family history of DM2. We performed a systematic review and meta-analysis of the association between comorbid DM2 and a family history of DM2 in patients with NAP. METHOD We searched major electronic databases from inception until August 2018 for studies of comorbid DM2 in patients with non-affective psychosis and family history of DM2 status. Random effects meta-analysis calculating odds ratios (ORs) and 95% confidence intervals (CI) and meta-regression analyses were performed. RESULTS Ten studies met the inclusion criteria. Across these studies, there were 804 patients with non-affective psychosis and comorbid DM2, and 2976 patients with non-affective psychosis without this comorbidity. A family history of DM2 was associated with an over four-fold increased odds of comorbid DM2 in patients with NAP (OR = 4.3, 95% CI 2.9-6.4, p<0.001). In; meta-regression analyses older age, but not sex, BMI, geographic region, study quality, or year; of publication moderated the association between comorbid DM2 and family history of DM2. CONCLUSION We found that a family history of DM2 was associated with an over four-fold increased odds of comorbid DM2 in patients with NAP. This association may be due to shared environmental or genetic risk factors, or gene-environment interactions. Given the increased risk of incident diabetes with antipsychotic treatment, screening for a family history of DM2 is germane to the clinical care of patients with NAP.
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Affiliation(s)
- Jim Chung
- Department of Psychiatry and Health Behavior, Augusta University, Augusta, GA, United States
| | - Brian J Miller
- Department of Psychiatry and Health Behavior, Augusta University, Augusta, GA, United States.
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Hovens IB, Dalenberg JR, Small DM. A Brief Neuropsychological Battery for Measuring Cognitive Functions Associated with Obesity. Obesity (Silver Spring) 2019; 27:1988-1996. [PMID: 31654505 PMCID: PMC6868337 DOI: 10.1002/oby.22644] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Accepted: 08/12/2019] [Indexed: 12/12/2022]
Abstract
OBJECTIVE Although ample evidence links obesity to cognitive dysfunction, the trajectory of cognitive change, the underlying mechanisms, and the involvement of related factors, such as metabolic disease and diet, remain unclear. To support further investigations of BMI and cognition, this study aimed to create a concise test battery to be used in future trials. METHODS Twenty neurocognitive measures were regressed on BMI in the Human Connectome Project Healthy Young Adult S1200 data release by using linear mixed models and by adjusting for major confounders. Measures were then identified by using least absolute shrinkage and selection operator regression analysis to select tests most strongly associated with BMI. To guide further test selection, the explained variance for each variable was visualized in the final model. RESULTS BMI was negatively associated with seven neurocognitive measures. Variable selection yielded a model that included years of education and, in order of model weight, delay discounting, the relational task, the Penn Progressive Matrices test, the oral reading recognition test, the Variable Short Penn Line Orientation test, and the Penn Word Memory test. CONCLUSIONS This research resulted in an approximate 40-minute test battery for the BMI-cognition relationship in young adults that can be used in trials investigating the interrelationship between obesity and cognitive performance.
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Affiliation(s)
- Iris B. Hovens
- Modern Diet and Physiology Research Center, New Haven, CT, United States
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
| | - Jelle R. Dalenberg
- Modern Diet and Physiology Research Center, New Haven, CT, United States
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
| | - Dana M. Small
- Modern Diet and Physiology Research Center, New Haven, CT, United States
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
- Department of Psychology, Yale University, New Haven, CT, United States
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Xue M, Xu W, Ou YN, Cao XP, Tan MS, Tan L, Yu JT. Diabetes mellitus and risks of cognitive impairment and dementia: A systematic review and meta-analysis of 144 prospective studies. Ageing Res Rev 2019; 55:100944. [PMID: 31430566 DOI: 10.1016/j.arr.2019.100944] [Citation(s) in RCA: 285] [Impact Index Per Article: 57.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Revised: 07/10/2019] [Accepted: 08/15/2019] [Indexed: 02/07/2023]
Abstract
BACKGROUND Uncertainties persist about the associations of diabetes with risk of cognitive impairment and dementia. We aimed to illuminate these associations from various aspects. METHODS We identified relevant prospective studies by searching PubMed up to Jun 2019. Summary relative risks (RR) were estimated using random-effects models. Credibility of each meta-analysis was assessed. Meta-regression and subgroup analyses were conducted. RESULTS Of 28,082 identified literatures, 144 were eligible for inclusion in the systematic review, among which 122 were included in the meta-analysis. Diabetes conferred a 1.25- to 1.91-fold excess risk for cognitive disorders (cognitive impairment and dementia). Subjects with prediabetes also had higher risk for dementia. As for diabetes-related biochemical indicators, fasting plasma glucose (FPG) was non-linearly related to cognitive disorders; the elevated levels of 2 -h postload glucose (2h-PG), glycosylated hemoglobin (HbA1c), low and high levels of fasting plasma insulin (FPI) were associated with an increased risk of dementia. Encouragingly, the use of pioglitazone exhibited a 47% reduced risk of dementia in diabetic population. CONCLUSIONS Diabetes, even prediabetes and changes of diabetes-related biochemical indicators, predicted increased incidence of cognitive impairment and dementia. The protective effects of pioglitazone warrant further investigation in randomized trials.
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Affiliation(s)
- Mei Xue
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Wei Xu
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Ya-Nan Ou
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Xi-Peng Cao
- Clinical Research Center, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Meng-Shan Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Jin-Tai Yu
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
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Cherbuin N, Walsh EI. Sugar in mind: Untangling a sweet and sour relationship beyond type 2 diabetes. Front Neuroendocrinol 2019; 54:100769. [PMID: 31176793 DOI: 10.1016/j.yfrne.2019.100769] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Revised: 05/17/2019] [Accepted: 06/05/2019] [Indexed: 12/17/2022]
Abstract
It is widely recognised that type 2 diabetes (T2D) represents a major disease burden but it is only recently that its role in neurodegeneration has attracted more attention. This research has shown that T2D is associated with impaired cerebral health, cognitive decline and dementia. However, the impact on the brain of progressive metabolic changes associated with the pre-clinical development of the disease is less clear. The aim of this review is to comprehensively summarise how the emergence of risk factors and co-morbid conditions linked to the development of T2D impact cerebral health. Particular attention is directed at characterising how normal but elevated blood glucose levels in individuals without T2D contribute to neurodegenerative processes, and how the main risk factors for T2D including obesity, physical activity and diet modulate these effects. Where available, evidence from the animal and human literature is contrasted, and sex differences in risk and outcomes are highlighted.
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Affiliation(s)
- Nicolas Cherbuin
- Centre for Research on Ageing, Health and Wellbeing, Australian National University, Canberra, Australia.
| | - Erin I Walsh
- Centre for Research on Ageing, Health and Wellbeing, Australian National University, Canberra, Australia
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Fernando HJ, Cohen R, Gullett JM, Friedman J, Ayzengart A, Porges E, Woods AJ, Gunstad J, Ochoa CM, Cusi K, Gonzalez-Louis R, Donahoo WT. Neurocognitive Deficits in a Cohort With Class 2 and Class 3 Obesity: Contributions of Type 2 Diabetes and Other Comorbidities. Obesity (Silver Spring) 2019; 27:1099-1106. [PMID: 31116012 PMCID: PMC6666310 DOI: 10.1002/oby.22508] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2018] [Accepted: 04/02/2019] [Indexed: 11/13/2022]
Abstract
OBJECTIVE This study examined the relationship between specific metabolic and vascular risk factors and cognition in adults with severe obesity. METHODS A total of 129 adults (with BMI ≥ 35 kg/m2 ) underwent a baseline clinical evaluation and neuropsychological assessment. Regression analyses examined the relationship between cognition and medical factors (BMI, hemoglobin A1c, diabetes, hypertension, continuous positive airway pressure use, obstructive sleep apnea [OSA], and osteoarthritis). RESULTS Diabetes was associated with deficits in overall cognitive performance and with deficits in the executive processing speed and verbal fluency domains. Hemoglobin A1c was inversely related to overall cognitive performance and deficits in the attention domain. Participants using continuous positive airway pressure to treat OSA had stronger learning and memory performance, whereas OSA was associated with reduced total learning. Elevated BMI together with diabetes diagnosis was associated with reduced verbal fluency and greater variability in sustained attention. CONCLUSIONS Obesity-associated comorbidities most notably appeared to have a greater relative influence on cognitive performance than BMI itself in adults with severe obesity. This likely reflects the fact that a very elevated BMI was ubiquitous and thereby probably exerted a similar influence among all adults in the cohort. Accordingly, in the context of severe obesity, diabetes and other comorbidities may have greater sensitivity to cognitive deficits than BMI alone.
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Affiliation(s)
- Heshan J. Fernando
- University of Florida, Department of Clinical and Health Psychology, Gainesville, FL
| | - Ronald Cohen
- University of Florida, Department of Clinical and Health Psychology, Gainesville, FL
| | - Joseph M. Gullett
- University of Florida, Department of Clinical and Health Psychology, Gainesville, FL
| | - Jeffrey Friedman
- University of Florida, Division of General Surgery, Gainesville, FL
| | | | - Eric Porges
- University of Florida, Department of Clinical and Health Psychology, Gainesville, FL
| | - Adam J. Woods
- University of Florida, Department of Clinical and Health Psychology, Gainesville, FL
| | | | - Christa M. Ochoa
- University of Florida, Department of Clinical and Health Psychology, Gainesville, FL
| | - Kenneth Cusi
- University of Florida, Division of Endocrinology, Diabetes & Metabolism, Gainesville, FL
| | - Rachel Gonzalez-Louis
- University of Florida, Department of Clinical and Health Psychology, Gainesville, FL
| | - William T. Donahoo
- University of Florida, Division of Endocrinology, Diabetes & Metabolism, Gainesville, FL
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Cholerton B, Omidpanah A, Verney SP, Nelson LA, Baker LD, Suchy-Dicey A, Longstreth WT, Howard BV, Henderson JA, Montine TJ, Buchwald D. Type 2 diabetes and later cognitive function in older American Indians: The Strong Heart Study. Int J Geriatr Psychiatry 2019; 34:1050-1057. [PMID: 30924200 PMCID: PMC6579638 DOI: 10.1002/gps.5108] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2018] [Accepted: 11/29/2018] [Indexed: 01/17/2023]
Abstract
OBJECTIVES Insulin resistance is a substantial health issue for American Indians, with type 2 diabetes overrepresented in this population as compared with non-Hispanic whites. Insulin resistance and its related conditions in turn increase risk for dementia and cognitive impairment. The aim of the current study was to determine whether type 2 diabetes and insulin resistance at midlife was associated with later-life cognitive testing in a large sample of older American Indians, aged 65 and older. METHODS American Indian participants who underwent both fasting blood draw as part of the Strong Heart Study and had subsequent cognitive testing as part of the later adjunct Cerebrovascular Disease and its Consequences in American Indians study were included (n = 790). Regression models examined type 2 diabetes and impaired fasting glucose and subsequent cognitive test performance as part of a longitudinal study design. The relationship between a continuous measure of insulin resistance and later cognitive test performance was assessed using generalized estimating equations. RESULTS Controlling for demographic and clinical factors, verbal fluency and processing speed/working memory were significantly negatively associated with having type 2 diabetes and with insulin resistance, but not with impaired fasting glucose. CONCLUSION In this sample of American Indians, type 2 diabetes at midlife was associated with subsequent lower performance on measures of executive function. These results may have important implications for future implementation of diagnostic and intervention services in this population.
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Affiliation(s)
- Brenna Cholerton
- Department of Pathology, Stanford University, Palo Alto, California, USA
| | - Adam Omidpanah
- Department of Community Health, Washington State University, Seattle, Washington, USA
| | - Steven P. Verney
- Department of Psychology, University of New Mexico, Albuquerque, New Mexico, USA
| | - Lonnie A. Nelson
- Department of Community Health, Washington State University, Seattle, Washington, USA
| | - Laura D. Baker
- Department of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Astrid Suchy-Dicey
- Department of Community Health, Washington State University, Seattle, Washington, USA
| | - William T. Longstreth
- Department of Neurology, School of Medicine, University of Washington, Seattle, Washington, USA,Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA
| | | | | | - Thomas J. Montine
- Department of Pathology, Stanford University, Palo Alto, California, USA
| | - Dedra Buchwald
- Department of Community Health, Washington State University, Seattle, Washington, USA
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Cuesta-Triana F, Verdejo-Bravo C, Fernández-Pérez C, Martín-Sánchez FJ. Effect of Milk and Other Dairy Products on the Risk of Frailty, Sarcopenia, and Cognitive Performance Decline in the Elderly: A Systematic Review. Adv Nutr 2019; 10:S105-S119. [PMID: 31089731 PMCID: PMC6518150 DOI: 10.1093/advances/nmy105] [Citation(s) in RCA: 73] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2018] [Revised: 09/17/2018] [Accepted: 11/02/2018] [Indexed: 12/15/2022] Open
Abstract
Nutrition is a modifiable factor potentially related to aging. Milk and other dairy products may contribute to the prevention of physical and cognitive impairment. We conducted a systematic review to investigate the effectiveness of dairy product intake for preventing cognitive decline, sarcopenia, and frailty in the elderly population. A systematic search for publications in electronic databases [MEDLINE via PubMed, Embase, Scopus, the Cochrane Central Register of Controlled Trials (CENTRAL), and the Cochrane Database of Systematic Reviews] from 2009 to 2018 identified observational and interventional studies in English and Spanish that tested the relation between dairy product consumption and cognitive decline, sarcopenia, and frailty in community-dwelling older people. We assessed the participants, the type of exposure or intervention, the outcomes, and the quality of evidence. We screened a total of 661 records and included 6 studies (5 observational prospective cohort studies and 1 randomized controlled trial). Regarding cognitive impairment, the relation cannot be firmly established. Consumption of milk at midlife may be negatively associated with verbal memory performance. In older women, high intakes of dairy desserts and ice cream were associated with cognitive decline. On the other hand, 1 study demonstrated a significant inverse relation between dairy intake and development of Alzheimer disease among older Japanese subjects. The consumption of dairy products by older people may reduce the risk of frailty, especially with high consumption of low-fat milk and yogurt, and may also reduce the risk of sarcopenia by improving skeletal muscle mass through the addition of nutrient-rich dairy proteins (ricotta cheese) to the habitual diet. Despite the scarcity of evidence on the topic, our systematic review shows that there are some positive effects of dairy products on frailty and sarcopenia, whereas studies concerning cognitive decline have contradictory findings.
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Affiliation(s)
| | | | - Cristina Fernández-Pérez
- Department of Preventive Medicine, Hospital Clínico San Carlos, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Escuela de Enfermería de Universidad Complutense de Madrid, Madrid, Spain
| | - Francisco J Martín-Sánchez
- Emergency Department, Hospital Clínico San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Facultad de Medicina de Universidad Complutense de Madrid, Madrid, Spain
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Type 2 Diabetes Mellitus Is Associated with the Risk of Cognitive Impairment: a Meta-Analysis. J Mol Neurosci 2019; 68:251-260. [DOI: 10.1007/s12031-019-01290-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2018] [Accepted: 03/01/2019] [Indexed: 10/27/2022]
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Abstract
Objectives: Type 2 diabetes mellitus has been linked with cognitive decrement and an increased risk of dementia in older people. Less is known about whether diabetes affects cognition at younger ages. The objective of this meta-analysis was to examine possible differences (effect sizes) in cognitive performance between middle-aged type 2 diabetic patients and healthy controls. Secondary aim was to examine whether age is related to the magnitude of effect sizes. Methods: Electronic databases and lists of references of selected articles were used to search for studies examining type 2 diabetes and cognition in patients under age 65 compared to healthy controls. Twelve studies met the inclusion criteria. Standardized mean differences (Hedges's g) were calculated for main cognitive domains and their subdomains. Association between age and effect sizes was evaluated with meta-regression analyses. Publication bias and methodological quality of the studies were assessed. Results: Patients performed worse than controls in several cognitive functions. The largest differences were found in information processing speed (g = -0.68), attention/concentration (g = -0.55), executive functions (g = -0.51), and working memory (g = -0.51). There was no significance difference in visual memory (g = -0.15). Age was significantly related to the effect size in information processing speed, language, verbal memory and visual memory. However, the direction of association varied across these cognitive domains. Conclusions: The results suggest that cognitive decrement in diabetes is not restricted to older people, but may begin to appear in middle age. More attention should be paid to early recognition and treatment of diabetes-related cognitive decrement in healthcare systems. (JINS, 2019, 25, 215-229).
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Altered sirtuins 1 and 2 expression in the brain of rats induced by experimental diabetes and the ways of its correction. UKRAINIAN BIOCHEMICAL JOURNAL 2019. [DOI: 10.15407/ubj91.01.021] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
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Wynn PC, Godfrey SS, Aslam N, Warriach HM, Tufail S, Jahan M, Batool Naqvi Z, Latif S, Wang B, McGill DM. Perspectives on the production of milk on small-holder dairy farms and its utilisation in developing countries. ANIMAL PRODUCTION SCIENCE 2019. [DOI: 10.1071/an19209] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
The profitability of milk production in the developing world varies widely among farming systems. This results from poor animal productivity and an inefficient marketing-chain structure in which farmers seldom profit from their dairying activities. The lack of chilling facilities for milk storage and the need to adulterate the raw product along the market chain to enhance profit margins means that consumers are not well catered for. Co-operative selling of milk, along with the acquisition of higher-quality feeds and veterinary medicines, has boosted the financial resilience of small-holder farming communities worldwide, although, in many regions, the co-operative model has not succeeded largely through a lack of trust between families even within the communities. Commercial reality dictates that farming communities work together to achieve financial sustainability, although the model adopted for each community may differ. Although milk has traditionally provided many consumers with their only source of animal protein, vitamin and minerals, we are now discovering its many other virtues, particularly in relation to cognitive development and memory retention and the provision of antioxidants. The impact of milk-processing technology on some of these remarkable properties requires further investigation to ensure that milk consumers worldwide benefit from these positive attributes.
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