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Sunwoo Y, Park J, Choi CY, Shin S, Choi YJ. Risk of Dementia and Alzheimer's Disease Associated With Antidiabetics: A Bayesian Network Meta-Analysis. Am J Prev Med 2024; 67:434-443. [PMID: 38705542 DOI: 10.1016/j.amepre.2024.04.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 04/29/2024] [Accepted: 04/30/2024] [Indexed: 05/07/2024]
Abstract
INTRODUCTION Dementia risk is substantially elevated in patients with diabetes. However, evidence on dementia risk associated with various antidiabetic regimens is still limited. This study aims to comprehensively investigate the risk of dementia and Alzheimer's disease (AD) associated with various antidiabetic classes. METHODS Cochrane Central Register of Controlled Trials, Embase, MEDLINE (PubMed), and Scopus were searched from inception to March 2024 (PROSPERO CRD 42022365927). Observational studies investigating dementia and AD incidences after antidiabetic initiation were identified. Bayesian network meta-analysis was performed to determine dementia and AD risks associated with antidiabetics. Preferred Reporting Items for Systematic Reviews-Network Meta-Analyses (PRISMA-NMA) guidelines were followed. Statistical analysis was performed and updated in November 2023 and March 2024, respectively. RESULTS A total of 1,565,245 patients from 16 studies were included. Dementia and AD risks were significantly lower with metformin and sodium glucose co-transporter-2 inhibitors (SGLT2i). Metformin displayed the lowest risk of dementia across diverse antidiabetics, whereas α-glucosidase inhibitors demonstrated the highest risk. SGLT2i exhibited the lowest dementia risk across second-line antidiabetics. Dementia risk was significantly higher with dipeptidyl peptidase-4 inhibitor (DPP4i), metformin, sulfonylureas, and thiazolidinediones (TZD) compared to SGLT2i in the elderly (≥75 years). Dementia risk associated with metformin was substantially lower, regardless of diabetic complication status or baseline A1C. DISCUSSION Metformin and SGLT2i demonstrated lower dementia risk than other antidiabetic classes. Patient-specific factors may affect this relationship and cautious interpretation is warranted as metformin is typically initiated at an earlier stage with fewer complications. Hence, further large-scaled clinical trials are required.
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Affiliation(s)
- Yongjun Sunwoo
- Department of Pharmacy, College of Pharmacy, Kyung Hee University, Seoul, Korea; Department of Regulatory Science, Graduate School, Kyung Hee University, Seoul, Korea; Institute of Regulatory Innovation Through Science (IRIS), Kyung Hee University, Seoul, Korea
| | - Jaeho Park
- Department of Pharmacy, College of Pharmacy, Kyung Hee University, Seoul, Korea
| | - Chang-Young Choi
- Department of Internal Medicine, Ajou University Medical Center, Suwon, Korea
| | - Sooyoung Shin
- Department of Pharmacy, College of Pharmacy, Ajou University, Suwon, Korea; Research Institute of Pharmaceutical Science and Technology (RIPST), Ajou University, Suwon, Korea
| | - Yeo Jin Choi
- Department of Pharmacy, College of Pharmacy, Kyung Hee University, Seoul, Korea; Department of Regulatory Science, Graduate School, Kyung Hee University, Seoul, Korea; Institute of Regulatory Innovation Through Science (IRIS), Kyung Hee University, Seoul, Korea.
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Moran C, Whitmer RA, Dove Z, Lacy ME, Soh Y, Tsai A, Quesenberry CP, Karter AJ, Adams AS, Gilsanz P. HbA 1c variability associated with dementia risk in people with type 2 diabetes. Alzheimers Dement 2024; 20:5561-5569. [PMID: 38959429 PMCID: PMC11350038 DOI: 10.1002/alz.14066] [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: 02/09/2024] [Revised: 05/20/2024] [Accepted: 05/21/2024] [Indexed: 07/05/2024]
Abstract
INTRODUCTION Although poor glycemic control is associated with dementia, it is unknown if variability in glycemic control, even in those with optimal glycosylated hemoglobin A1c (HbA1c) levels, increases dementia risk. METHODS Among 171,964 people with type 2 diabetes, we evaluated the hazard of dementia association with long-term HbA1c variability using five operationalizations, including standard deviation (SD), adjusting for demographics and comorbidities. RESULTS The mean baseline age was 61 years (48% women). Greater HbA1c SD was associated with greater dementia hazard (adjusted hazard ratio = 1.15 [95% confidence interval: 1.12, 1.17]). In stratified analyses, higher HbA1c SD quintiles were associated with greater dementia hazard among those with a mean HbA1c < 6% (P = 0.0004) or 6% to 8% (P < 0.0001) but not among those with mean HbA1c ≥ 8% (P = 0.42). DISCUSSION Greater HbA1c variability is associated with greater dementia risk, even among those with HbA1c concentrations at ideal clinical targets. These findings add to the importance and clinical impact of recommendations to minimize glycemic variability. HIGHLIGHTS We observed a cohort of 171,964 people with type 2 diabetes (mean age 61 years). This cohort was based in Northern California between 1996 and 2018. We examined the association between glycosylated hemoglobin A1c (HbA1c) variability and dementia risk. Greater HbA1c variability was associated with greater dementia hazard. This was most evident among those with normal-low mean HbA1c concentrations.
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Affiliation(s)
- Chris Moran
- School of Public Health and Preventive MedicineMonash UniversityMelbourneVictoriaAustralia
- Department of Geriatric MedicinePeninsula HealthMorningtonVictoriaAustralia
- Department of HomeAcute and Community, Alfred HealthCaulfieldVictoriaAustralia
- National Centre for Healthy AgeingFrankstonVictoriaAustralia
| | - Rachel A. Whitmer
- Division of EpidemiologyDepartment of Public Health SciencesUniversity of California, Medical Sciences 1‐CDavisCaliforniaUSA
- Kaiser Permanente Division of ResearchOaklandCaliforniaUSA
| | - Zoe Dove
- Kaiser Permanente Division of ResearchOaklandCaliforniaUSA
- California Northstate University, College of MedicineElk GroveCaliforniaUSA
| | - Mary E. Lacy
- Kaiser Permanente Division of ResearchOaklandCaliforniaUSA
- Department of EpidemiologyCollege of Public HealthUniversity of KentuckyLexingtonKentuckyUSA
| | - Yenee Soh
- Kaiser Permanente Division of ResearchOaklandCaliforniaUSA
| | - Ai‐Lin Tsai
- Kaiser Permanente Division of ResearchOaklandCaliforniaUSA
| | | | | | - Alyce S. Adams
- Kaiser Permanente Division of ResearchOaklandCaliforniaUSA
- Department of Epidemiology and Population Health and Health PolicySchool of MedicineStanford UniversityStanfordCaliforniaUSA
| | - Paola Gilsanz
- Kaiser Permanente Division of ResearchOaklandCaliforniaUSA
- Department of Epidemiology and BiostatisticsUniversity of CaliforniaSan FranciscoCaliforniaUSA
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Underwood PC, Zhang L, Mohr DC, Prentice JC, Nelson RE, Budson AE, Conlin PR. Glycated Hemoglobin A1c Time in Range and Dementia in Older Adults With Diabetes. JAMA Netw Open 2024; 7:e2425354. [PMID: 39093563 PMCID: PMC11297381 DOI: 10.1001/jamanetworkopen.2024.25354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 05/31/2024] [Indexed: 08/04/2024] Open
Abstract
Importance Individuals with diabetes commonly experience Alzheimer disease and related dementias (ADRD). Factors such as hypoglycemia, hyperglycemia, and glycemic variability have been associated with increased risk of ADRD. Traditional glycemic measures, such as mean glycated hemoglobin A1c (HbA1c), may not identify the dynamic and complex pathophysiologic factors in the association between diabetes and ADRD. The HbA1c time in range (TIR) is a previously developed measure of glycemic control that expresses HbA1c stability over time within specific ranges. This measure may inform the current understanding of the association between glucose levels over time and ADRD incidence. Objective To examine the association between HbA1c TIR and incidence of ADRD in older veterans with diabetes. Design, Setting, and Participants The study sample for this cohort study was obtained from administrative and health care utilization data from the Veterans Health Administration and Medicare from January 1, 2004, to December 31, 2018. Veterans 65 years or older with diabetes were assessed. Participants were required to have at least 4 HbA1c tests during the 3-year baseline period, which could start between January 1, 2005, and December 31, 2014. Data analysis was conducted between July and December 2023. Main Outcomes and Measures Hemoglobin A1c TIR was calculated as the percentage of days during baseline in which HbA1c was in individualized target ranges based on clinical characteristics and life expectancy, with higher HbA1c TIR viewed as more favorable. The association between HbA1c TIR and ADRD incidence was estimated. Additional models considered ADRD incidence in participants who were above or below HbA1c target ranges most of the time. Results The study included 374 021 veterans with diabetes (mean [SD] age, 73.2 [5.8] years; 369 059 [99%] male). During follow-up of up to 10 years, 41 424 (11%) developed ADRD. Adjusted Cox proportional hazards regression models showed that lower HbA1c TIR was associated with increased risk of incident ADRD (HbA1c TIR of 0 to <20% compared with ≥80%: hazard ratio, 1.19; 95% CI, 1.16-1.23). Furthermore, the direction of out-of-range HbA1c levels was associated with incident ADRD. Having greater time below range (≥60%, compared with ≥60% TIR) was associated with significantly increased risk (hazard ratio, 1.23; 95% CI, 1.19-1.27). Findings remained significant after excluding individuals with baseline use of medications associated with hypoglycemia risk (ie, insulin and sulfonylureas) or with hypoglycemia events. Conclusions and Relevance In this study of older adults with diabetes, increased HbA1c stability within patient-specific target ranges was associated with a lower risk of ADRD. Lower HbA1c TIR may identify patients at increased risk of ADRD.
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Affiliation(s)
- Patricia C. Underwood
- William F. Connell School of Nursing, Boston College, Boston, Massachusetts
- Veterans Affairs Boston Healthcare System, Boston, Massachusetts
| | - Libin Zhang
- Center for Healthcare Organization & Implementation Research, Veterans Affairs, Boston, Massachusetts
| | - David C. Mohr
- National Center for Organizational Development, Veterans Health Administration, Cincinnati, Ohio
- Department of Health Law, Policy, and Management, School of Public Health, Boston University, Boston, Massachusetts
| | | | - Richard E. Nelson
- Department of Internal Medicine, University of Utah Health, Salt Lake City
- Veterans Affairs Salt Lake City Healthcare System, Salt Lake City, Utah
| | - Andrew E. Budson
- Veterans Affairs Boston Healthcare System, Boston, Massachusetts
- National Center for Organizational Development, Veterans Health Administration, Cincinnati, Ohio
- Harvard Medical School, Boston, Massachusetts
| | - Paul R. Conlin
- Veterans Affairs Boston Healthcare System, Boston, Massachusetts
- Boston University School of Medicine, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
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Ciudin A, Hernández C, Simó-Servat O, Simó R. The usefulness of the retina for identifying people with type 2 diabetes with prodromal stages of dementia. Neurosci Biobehav Rev 2024; 159:105592. [PMID: 38365136 DOI: 10.1016/j.neubiorev.2024.105592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 02/05/2024] [Accepted: 02/13/2024] [Indexed: 02/18/2024]
Abstract
Type 2 diabetes (T2D) is associated with cognitive impairment and dementia. The detection of cognitive impairment is important because this population is at higher risk of experiencing difficulties in the self-management of diabetes. Mild cognitive impairment (MCI) often remains undiagnosed due to lack of simple tools for screening at large scale. This represents an important gap in the patients' management because subjects with diabetes and MCI are at high risk of progressing to dementia. Due to its developmental origin as a brain-derived tissue, the retina has been proposed as a potential means of non-invasive and readily accessible exploration of brain pathology. Recent evidence showed that retinal imaging and/or functional tests are correlated with the cognitive function and brain changes in T2D. Simple retinal functional tests (i.e. retinal microperimetry) have proven to be useful as reliable tool for the cognitive evaluation and monitoring in patients with T2D>65 years. This review gives an overall update on the usefulness of retinal imaging in identifying patients with T2D at risk of developing dementia.
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Affiliation(s)
- Andreea Ciudin
- Diabetes and Metabolism Research Unit, Vall d'Hebron Research Institute (VHIR), Endocrinology Department, Vall d'Hebron University Hospital, Autonomous University Barcelona, Barcelona 08035, Spain; CIBERDEM (Instituto de Salud Carlos III), Madrid 28029, Spain
| | - Cristina Hernández
- Diabetes and Metabolism Research Unit, Vall d'Hebron Research Institute (VHIR), Endocrinology Department, Vall d'Hebron University Hospital, Autonomous University Barcelona, Barcelona 08035, Spain; CIBERDEM (Instituto de Salud Carlos III), Madrid 28029, Spain
| | - Olga Simó-Servat
- Diabetes and Metabolism Research Unit, Vall d'Hebron Research Institute (VHIR), Endocrinology Department, Vall d'Hebron University Hospital, Autonomous University Barcelona, Barcelona 08035, Spain; CIBERDEM (Instituto de Salud Carlos III), Madrid 28029, Spain
| | - Rafael Simó
- Diabetes and Metabolism Research Unit, Vall d'Hebron Research Institute (VHIR), Endocrinology Department, Vall d'Hebron University Hospital, Autonomous University Barcelona, Barcelona 08035, Spain; CIBERDEM (Instituto de Salud Carlos III), Madrid 28029, Spain.
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Alkabbani W, Maxwell CJ, Marrie RA, Tyas SL, Lega IC, Gamble JM. Insulin, hypoglycaemia and dementia: A causal mediation analysis showcasing challenges and potential opportunities. Diabetes Obes Metab 2024; 26:1120-1124. [PMID: 38012861 DOI: 10.1111/dom.15385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 11/10/2023] [Accepted: 11/12/2023] [Indexed: 11/29/2023]
Affiliation(s)
- Wajd Alkabbani
- School of Pharmacy, University of Waterloo, Waterloo, Ontario, Canada
| | - Colleen J Maxwell
- School of Pharmacy, University of Waterloo, Waterloo, Ontario, Canada
- School of Public Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
| | - Ruth Ann Marrie
- Departments of Internal Medicine and Community Health Science, Max Rady College of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Suzanne L Tyas
- School of Public Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
| | - Iliana C Lega
- Women's College Research Institute (WCRI), Women's College Hospital, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
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Martin SS, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Barone Gibbs B, Beaton AZ, Boehme AK, Commodore-Mensah Y, Currie ME, Elkind MSV, Evenson KR, Generoso G, Heard DG, Hiremath S, Johansen MC, Kalani R, Kazi DS, Ko D, Liu J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Perman SM, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Tsao CW, Urbut SM, Van Spall HGC, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Palaniappan LP. 2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association. Circulation 2024; 149:e347-e913. [PMID: 38264914 DOI: 10.1161/cir.0000000000001209] [Citation(s) in RCA: 124] [Impact Index Per Article: 124.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Abstract
BACKGROUND The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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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: 4] [Impact Index Per Article: 4.0] [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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Ghosh P, Fontanella RA, Scisciola L, Pesapane A, Taktaz F, Franzese M, Puocci A, Ceriello A, Prattichizzo F, Rizzo MR, Paolisso G, Barbieri M. Targeting redox imbalance in neurodegeneration: characterizing the role of GLP-1 receptor agonists. Theranostics 2023; 13:4872-4884. [PMID: 37771773 PMCID: PMC10526673 DOI: 10.7150/thno.86831] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 07/06/2023] [Indexed: 09/30/2023] Open
Abstract
Reactive oxygen species (ROS) have emerged as essential signaling molecules regulating cell survival, death, inflammation, differentiation, growth, and immune response. Environmental factors, genetic factors, or many pathological condition such as diabetes increase the level of ROS generation by elevating the production of advanced glycation end products, reducing free radical scavengers, increasing mitochondrial oxidative stress, and by interfering with DAG-PKC-NADPH oxidase and xanthine oxidase pathways. Oxidative stress, and therefore the accumulation of intracellular ROS, determines the deregulation of several proteins and caspases, damages DNA and RNA, and interferes with normal neuronal function. Furthermore, ROS play an essential role in the polymerization, phosphorylation, and aggregation of tau and amyloid-beta, key mediators of cognitive function decline. At the neuronal level, ROS interfere with the DNA methylation pattern and various apoptotic factors related to cell death, promoting neurodegeneration. Only few drugs are able to quench ROS production in neurons. The cross-linking pathways between diabetes and dementia suggest that antidiabetic medications can potentially treat dementia. Among antidiabetic drugs, glucagon-like peptide-1 receptor agonists (GLP-1RAs) have been found to reduce ROS generation and ameliorate mitochondrial function, protein aggregation, neuroinflammation, synaptic plasticity, learning, and memory. The incretin hormone glucagon-like peptide-1 (GLP-1) is produced by the enteroendocrine L cells in the distal intestine after food ingestion. Upon interacting with its receptor (GLP-1R), it regulates blood glucose levels by inducing insulin secretion, inhibiting glucagon production, and slowing gastric emptying. No study has evidenced a specific GLP-1RA pathway that quenches ROS production. Here we summarize the effects of GLP-1RAs against ROS overproduction and discuss the putative efficacy of Exendin-4, Lixisenatide, and Liraglutide in treating dementia by decreasing ROS.
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Affiliation(s)
- Puja Ghosh
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, Naples, Italy
| | - Rosaria Anna Fontanella
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, Naples, Italy
| | - Lucia Scisciola
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, Naples, Italy
| | - Ada Pesapane
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, Naples, Italy
| | - Fatemeh Taktaz
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, Naples, Italy
| | - Martina Franzese
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, Naples, Italy
| | - Armando Puocci
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, Naples, Italy
| | | | | | - Maria Rosaria Rizzo
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, Naples, Italy
| | - Giuseppe Paolisso
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, Naples, Italy
- UniCamillus, International Medical University, Rome Italy
| | - Michelangela Barbieri
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, Naples, Italy
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Husain KH, Sarhan SF, AlKhalifa HKAA, Buhasan A, Moin ASM, Butler AE. Dementia in Diabetes: The Role of Hypoglycemia. Int J Mol Sci 2023; 24:9846. [PMID: 37372995 DOI: 10.3390/ijms24129846] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 05/25/2023] [Accepted: 05/26/2023] [Indexed: 06/29/2023] Open
Abstract
Hypoglycemia, a common consequence of diabetes treatment, is associated with severe morbidity and mortality and has become a major barrier to intensifying antidiabetic therapy. Severe hypoglycemia, defined as abnormally low blood glucose requiring the assistance of another person, is associated with seizures and comas, but even mild hypoglycemia can cause troubling symptoms such as anxiety, palpitations, and confusion. Dementia generally refers to the loss of memory, language, problem-solving, and other cognitive functions, which can interfere with daily life, and there is growing evidence that diabetes is associated with an increased risk of both vascular and non-vascular dementia. Neuroglycopenia resulting from a hypoglycemic episode in diabetic patients can lead to the degeneration of brain cells, with a resultant cognitive decline, leading to dementia. In light of new evidence, a deeper understating of the relationship between hypoglycemia and dementia can help to inform and guide preventative strategies. In this review, we discuss the epidemiology of dementia among patients with diabetes, and the emerging mechanisms thought to underlie the association between hypoglycemia and dementia. Furthermore, we discuss the risks of various pharmacological therapies, emerging therapies to combat hypoglycemia-induced dementia, as well as risk minimization strategies.
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Affiliation(s)
- Khaled Hameed Husain
- School of Medicine, Royal College of Surgeons in Ireland, Busaiteen, Adliya 15503, Bahrain
| | - Saud Faisal Sarhan
- School of Medicine, Royal College of Surgeons in Ireland, Busaiteen, Adliya 15503, Bahrain
| | | | - Asal Buhasan
- School of Medicine, Royal College of Surgeons in Ireland, Busaiteen, Adliya 15503, Bahrain
| | - Abu Saleh Md Moin
- Research Department, Royal College of Surgeons in Ireland, Busaiteen, Adliya 15503, Bahrain
| | - Alexandra E Butler
- Research Department, Royal College of Surgeons in Ireland, Busaiteen, Adliya 15503, Bahrain
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Sebastian MJ, Khan SKA, Pappachan JM, Jeeyavudeen MS. Diabetes and cognitive function: An evidence-based current perspective. World J Diabetes 2023; 14:92-109. [PMID: 36926658 PMCID: PMC10011899 DOI: 10.4239/wjd.v14.i2.92] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 12/26/2022] [Accepted: 01/17/2023] [Indexed: 02/14/2023] Open
Abstract
Several epidemiological studies have clearly identified diabetes mellitus (DM) as a major risk factor for cognitive dysfunction, and it is going to be a major public health issue in the coming years because of the alarming rise in diabetes prevalence across the world. Brain and neural tissues predominantly depend on glucose as energy substrate and hence, any alterations in carbohydrate meta-bolism can directly impact on cerebral functional output including cognition, executive capacity, and memory. DM affects neuronal function and mental capacity in several ways, some of which include hypoperfusion of the brain tissues from cerebrovascular disease, diabetes-related alterations of glucose transporters causing abnormalities in neuronal glucose uptake and metabolism, local hyper- and hypometabolism of brain areas from insulin resistance, and recurrent hypoglycemic episodes inherent to pharmacotherapy of diabetes resulting in neuronal damage. Cognitive decline can further worsen diabetes care as DM is a disease largely self-managed by patients. Therefore, it is crucial to understand the pathobiology of cognitive dysfunction in relation to DM and its management for optimal long-term care plan for patients. A thorough appraisal of normal metabolic characteristics of the brain, how alterations in neural metabolism affects cognition, the diagnostic algorithm for patients with diabetes and dementia, and the management and prognosis of patients when they have this dangerous combination of illnesses is imperative in this context. This evidence-based narrative with the back-up of latest clinical trial reviews elaborates the current understanding on diabetes and cognitive function to empower physicians to manage their patients in day-to-day clinical practice.
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Affiliation(s)
| | - Shahanas KA Khan
- Department of Endocrinology and Metabolism, Lancashire Teaching Hospitals NHS Trust, Preston PR2 9HT, United Kingdom
| | - Joseph M Pappachan
- Department of Endocrinology and Metabolism, Lancashire Teaching Hospitals NHS Trust, Preston PR2 9HT, United Kingdom
- Faculty of Science, Manchester Metropolitan University, Manchester M15 6BH, United Kingdom
- Faculty of Biology, Medicine and Health, The University of Manchester, Manchester M13 9PL, United Kingdom
| | - Mohammad Sadiq Jeeyavudeen
- Department of Endocrinology and Metabolism, University Hospitals of Edinburgh, Edinburgh EH16 4SA, United Kingdom
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Alkabbani W, Maxwell CJ, Marrie RA, Tyas SL, Lega IC, Gamble JM. Associations of Mid- and Late-Life Severe Hypoglycemic Episodes With Incident Dementia Among Patients With Type 2 Diabetes: A Population-Based Cohort Study. Diabetes Care 2023; 46:331-340. [PMID: 36516080 DOI: 10.2337/dc22-1496] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Accepted: 11/12/2022] [Indexed: 12/15/2022]
Abstract
OBJECTIVE Severe hypoglycemia is associated with an increased risk of dementia. We examined if the association is consistently present in mid- and late-life hypoglycemia. RESEARCH DESIGN AND METHODS Using health care data from Population Data BC, we created a base cohort of patients age ≥40 years with incident type 2 diabetes. Exposure was the first occurrence of severe hypoglycemia (hospitalization or physician visit). We assessed exposure versus no exposure in mid- (age 45-64 years) and late-life (age 65-84 years) cohorts. Index date was the later of the 45th birthday (midlife cohort), 65th birthday (late-life cohort), or diabetes diagnosis. Those with hypoglycemia or dementia before the index date were excluded. Patients were followed from index date until dementia diagnosis, death, emigration, or 31 December 2018. Exposure was modeled as time dependent. We adjusted for confounding using propensity score weighting. Dementia risk was estimated using cause-specific hazards models with death as a competing risk. RESULTS Of 221,683 patients in the midlife cohort, 1,793 experienced their first severe hypoglycemic event. Over a median of 9.14 years, 3,117 dementia outcomes occurred (32 among exposed). Of 223,940 patients in the late-life cohort, 2,466 experienced their first severe hypoglycemic event. Over a median of 6.7 years, 15,997 dementia outcomes occurred (158 among exposed). The rate of dementia was higher for those with (vs. without) hypoglycemia in both the mid- (hazard ratio 2.85; 95% CI 1.72-4.72) and late-life (2.38; 1.83-3.11) cohorts. CONCLUSIONS Both mid- and late-life hypoglycemia were associated with approximately double the risk of dementia, indicating the need for prevention throughout the life course of those with diabetes.
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Affiliation(s)
- Wajd Alkabbani
- School of Pharmacy, University of Waterloo, Waterloo, Ontario, Canada
| | - Colleen J Maxwell
- School of Pharmacy, University of Waterloo, Waterloo, Ontario, Canada
- School of Public Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
| | - Ruth Ann Marrie
- Departments of Internal Medicine and Community Health Science, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Suzanne L Tyas
- School of Public Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
| | - Iliana C Lega
- Women's College Research Institute, Women's College Hospital, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
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Dao L, Choi S, Freeby M. Type 2 diabetes mellitus and cognitive function: understanding the connections. Curr Opin Endocrinol Diabetes Obes 2023; 30:7-13. [PMID: 36385094 DOI: 10.1097/med.0000000000000783] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
PURPOSE OF REVIEW To review the connection between type 2 diabetes and cognitive dysfunction, including its epidemiology, potential mechanisms of pathophysiology, risk factors, possible prevention, and treatment considerations. RECENT FINDINGS Diabetes is a risk factor for mild cognitive decline, in addition to Alzheimer's disease and vascular dementia. Duration of diabetes, concomitant vascular or associated co-morbidities, hyper- and hypoglycemia may lead to worsening cognitive dysfunction. Unfortunately, there is a lack of evidence-based guidance on the prevention of cognitive dysfunction in the diabetes population. Studies of diabetes medications, including metformin, glucagon-like peptide-1 (GLP-1) receptor agonists, and sodium-glucose cotransporter-2 inhibitors (SGLT2) have shown some benefit with cardiovascular morbidity and may affect cognition. In the absence of clearly defined preventive tools, diabetes practice guidelines recommend annual cognitive screening as standard of care in adults with diabetes aged 65 years or older. SUMMARY People living with diabetes are at risk for significant decline in cognitive function. Epidemiology and risk factors are well defined. Prevention and treatment strategies are limited and require further study.
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Affiliation(s)
- Lisa Dao
- Division of Endocrinology, Diabetes and Metabolism, David Geffen School of Medicine UCLA
| | - Sarah Choi
- UCLA School of Nursing, Los Angeles, California, USA
| | - Matthew Freeby
- Division of Endocrinology, Diabetes and Metabolism, David Geffen School of Medicine UCLA
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Effects of Peroxisome Proliferator-Activated Receptor-Gamma Agonists on Cognitive Function: A Systematic Review and Meta-Analysis. Biomedicines 2023; 11:biomedicines11020246. [PMID: 36830783 PMCID: PMC9953157 DOI: 10.3390/biomedicines11020246] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 12/21/2022] [Accepted: 01/04/2023] [Indexed: 01/20/2023] Open
Abstract
Diabetes mellitus (DM) is known to be a risk factor for dementia, especially in the elderly population, and close associations between diabetes and Alzheimer disease (AD) have been determined. Peroxisome proliferator-activated receptor-gamma (PPAR-γ) agonists are insulin-sensitising drugs. In addition to their anti-diabetic properties, their effectiveness in preventing and decreasing cognitive impairment are the most recent characteristics that have been studied. For this study, we conducted a systematic review and meta-analysis to critically analyse and evaluate the existing data on the effects of PPAR-γ agonist therapy on the cognitive status of patients. For this purpose, we first analysed both early intervention and later treatment with PPAR-γ agonists, according to the disease status. The involved studies indicated that early PPAR-γ agonist intervention is beneficial for patients and that high-dose PPAR-γ therapy may have a better clinical effect, especially in reversing the effects of cognitive impairment. Furthermore, the efficacy of pioglitazone (PIO) seems to be promising, particularly for patients with comorbid diabetes. PIO presented a better clinical curative effect and safety, compared with rosiglitazone (RSG). Thus, PPAR-γ agonists play an important role in the inflammatory response of AD or DM patients, and clinical therapeutics should focus more on relevant metabolic indices.
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Wang Q, Li X, Teng N, Li X. Prediabetes and the incidence of dementia in general population: a systematic review and meta-analysis of prospective studies. Psychogeriatrics 2022; 22:666-678. [PMID: 35777977 DOI: 10.1111/psyg.12869] [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: 04/13/2022] [Revised: 05/23/2022] [Accepted: 06/01/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND Continuous hyperglycaemia has been related with dementia. However, it remains unclear whether prediabetes poses a higher risk of dementia. A meta-analysis was therefore conducted to comprehensively investigate the possible role of prediabetes as a risk factor of dementia. METHODS Prospective cohort studies reporting the association of prediabetes and dementia were identified from PubMed, Web of Science, and Embase databases. A random-effects model was applied to combine the results by incorporating the influence of heterogeneity. Subgroup analyses were also conducted to explore the influences of study features on the relationship. Sensitivity analysis re-estimated the combined effect size after excluding single studies separately to explore the robustness of the results. RESULTS Nine studies involving 29 986 adults from the general population, 6265 (20.9%) of whom had prediabetes, were included. It was shown that prediabetes was not independently associated with a higher incidence of dementia compared with normoglycaemia (adjusted risk ratio (RR): 1.01, 95% confidence interval (CI): 0.85-1.21, P = 0.89, I2 = 39%). Subgroup analyses according to the definitions of prediabetes, follow-up duration, method for diagnosis of dementia, and quality score produced similar findings (P for all subgroup differences >0.05). In addition, prediabetes was not independently associated with the incidence of Alzheimer's disease (RR: 1.24, 95% CI: 0.98-1.56, P = 0.07, I2 = 0%) or vascular dementia (RR: 1.16, 95% CI: 0.70-1.92, P = 0.56, I2 = 0%). Different definitions of prediabetes have the potential to influence the results, as reflected in the subgroup analysis for Alzheimer's disease (RR: 1.30, 95% CI: 1.06-1.60, P = 0.01, I2 = 0%). CONCLUSIONS Prediabetes may not be an independent risk factor of all-cause dementia or vascular dementia in the general adult population. However, changing the definition of prediabetes may have an impact on the outcome for Alzheimer's disease.
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Affiliation(s)
- Qihao Wang
- The Second Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Xinying Li
- The Second Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Nan Teng
- School of Public Health, Dalian Medical University, Dalian, China
| | - Xiaofeng Li
- School of Public Health, Dalian Medical University, Dalian, China
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