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Yen YH, Yen FS, Ko FS, Wei JCC, Huang Y, Yu TS, Hwu CM, Hsu CC. Microvascular disease and its association with dementia in patients with type 2 diabetes: A nationwide cohort study in Taiwan. Diabetes Obes Metab 2024; 26:5399-5407. [PMID: 39210562 DOI: 10.1111/dom.15908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2024] [Revised: 08/13/2024] [Accepted: 08/13/2024] [Indexed: 09/04/2024]
Abstract
AIM To assess the likelihood of dementia in individuals with type 2 diabetes (T2D), distinguishing between those with and without microvascular diseases. METHODS Leveraging the National Health Insurance Research Database in Taiwan, we identified individuals newly diagnosed with T2D from 1 January 2009 through 31 December 2014. Multivariable Cox proportional hazard models were used to compare the risk of outcomes. RESULTS Individuals with microvascular disease had a significantly higher risk of all-cause dementia (adjusted hazard ratio [95% confidence interval] 1.13 [1.09, 1.17]) compared with matched individuals without microvascular disease. In addition, individuals with diabetic kidney disease and diabetic neuropathy were associated with a significantly increased risk of Alzheimer's disease (1.16 [1.02, 1.32] and 1.14 [1.03, 1.27]), vascular dementia (1.21 [1.06, 1.38] and 1.14 [1.02, 1.28]) and other dementia (1.11 [1.04, 1.19] and 1.10 [1.04, 1.16]), respectively, compared with those without microvascular disease. CONCLUSIONS This nationwide cohort study showed that patients with T2D and microvascular disease, particularly diabetic kidney disease and diabetic neuropathy, were associated with a significantly higher risk of Alzheimer's disease, vascular dementia, other dementia and all-cause dementia than those without microvascular disease.
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Affiliation(s)
- Yu-Hsin Yen
- Duke-NUS Medical School, Singapore, Singapore
| | | | - Fu-Shun Ko
- Section of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - James Cheng-Chung Wei
- Department of Allergy, Immunology & Rheumatology, Chung Shan Medical University Hospital, Taichung, Taiwan
- Graduate Institute of Integrated Medicine, China Medical University, Taichung, Taiwan
- Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan
| | - Yuhan Huang
- Graduate Institute of Integrated Medicine, China Medical University, Taichung, Taiwan
- Management Office for Health Data, China Medical University Hospital, Taichung, Taiwan
| | - Teng-Shun Yu
- Graduate Institute of Integrated Medicine, China Medical University, Taichung, Taiwan
- Management Office for Health Data, China Medical University Hospital, Taichung, Taiwan
| | - Chii-Min Hwu
- Section of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
- Faculty of Medicine, National Yang-Ming Chiao Tung University School of Medicine, Taipei, Taiwan
| | - Chih-Cheng Hsu
- Institute of Population Health Sciences, National Health Research Institutes, Miaoli County, Taiwan
- Department of Health Services Administration, China Medical University, Taichung, Taiwan
- Department of Family Medicine, Min-Sheng General Hospital, Taoyuan, Taiwan
- National Center for Geriatrics and Welfare Research, National Health Research Institutes, Miaoli County, Taiwan
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Hatakawa Y, Takeuchi Y, Lee SH, Oe T. Tyrosine modifications of insulin-degrading enzyme enable favorable control of substrate specificity for both Alzheimer's disease and type-2 diabetes mellitus. Bioorg Chem 2024; 153:107916. [PMID: 39481143 DOI: 10.1016/j.bioorg.2024.107916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2024] [Revised: 10/14/2024] [Accepted: 10/21/2024] [Indexed: 11/02/2024]
Abstract
Insulin-degrading enzyme (IDE) cleaves amyloid beta (Aβ), insulin, and other bioactive peptides. Because Aβ and insulin are closely related to Alzheimer's disease (AD) and type-2 diabetes mellitus (T2DM), respectively, IDE is a candidate drug target for treating both AD and T2DM. However, the activity of IDE has opposing effects, including decreasing AD risk by degrading Aβ and increasing T2DM risk by degrading insulin. The opposed substrate specificity is associated with the exo- and active sites containing Tyr314 and Tyr831 residues, the plausible modification targets for controlling substrate specificity. In this study, we used a tyrosine-specific modification regent, Cookson reagent (4-phenyl-1,2,4-triazoline-3,5-dione, PTAD), for IDE and examined the degradation activities on Aβ40 and insulin. Fifteen tyrosine residues, including Tyr314 and Tyr831, were modified by PTAD. After incubation with PTAD-modified IDE for 3 days, insulin remained intact, whereas Aβ40 was completely degraded. This favorable change of substrate specificity was also observed in the mixture of Aβ40 and insulin, suggesting that tyrosine modification of IDE might be a therapeutic strategy for AD and T2DM.
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Affiliation(s)
- Yusuke Hatakawa
- Department of Bio-Analytical Chemistry, Graduate School of Pharmaceutical Sciences, Tohoku University, 6-3 Aramaki-Aoba, Aoba-Ku, Sendai 980-8578, Japan
| | - Yuki Takeuchi
- Department of Bio-Analytical Chemistry, Graduate School of Pharmaceutical Sciences, Tohoku University, 6-3 Aramaki-Aoba, Aoba-Ku, Sendai 980-8578, Japan
| | - Seon Hwa Lee
- Department of Bio-Analytical Chemistry, Graduate School of Pharmaceutical Sciences, Tohoku University, 6-3 Aramaki-Aoba, Aoba-Ku, Sendai 980-8578, Japan
| | - Tomoyuki Oe
- Department of Bio-Analytical Chemistry, Graduate School of Pharmaceutical Sciences, Tohoku University, 6-3 Aramaki-Aoba, Aoba-Ku, Sendai 980-8578, Japan.
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Thanh Phuc P, Nguyen PA, Nguyen NN, Hsu MH, Le KN, Tran QV, Huang CW, Yang HC, Chen CY, Le TAH, Le MK, Nguyen HB, Lu CY, Hsu JC. Early detection of Dementia in Type 2 Diabetes population: Predictive analytics using Machine learning approach. J Med Internet Res 2024. [PMID: 39434474 DOI: 10.2196/52107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2024] Open
Abstract
BACKGROUND The possible association between diabetes mellitus and dementia has raised concerns, given the observed coincidental occurrences. OBJECTIVE This study aims to develop a personalized predictive model, utilizing artificial intelligence, to assess the 5-year and 10-year dementia risk among patients with Type 2 Diabetes Mellitus (T2DM) who are prescribed antidiabetic medications. METHODS This retrospective multicenter study used data from Taipei Medical University Clinical Research Database, which comprises electronic medical records from three hospitals in Taiwan. This study applied eight machine learning algorithms to develop prediction models, including logistic regression (LR), linear discriminant analysis (LDA), gradient boosting machine (GBM), lightGBM (LBGM), AdaBoost, random forest, extreme gradient boosting (XGBoost), and artificial neural network (ANN). These models incorporated a range of variables, encompassing patient characteristics, comorbidities, medication usage, laboratory results, and examination data. RESULTS This study involved a cohort of 43,068 patients diagnosed with T2DM, which accounted for a total of 1,937,692 visits. For model development and validation, 1,300,829 visits were utilized, while an additional 636,863 visits were reserved for external testing. The area under the curve (AUC) of the prediction models range from 0.67 for the logistic regression to 0.98 for the artificial neural networks. Based on the external test results, the model built using the ANN algorithm has the best AUC: 0.97 (5-year follow-up period) and 0.98 (10-year follow-up period). Based on the best model (ANN), age, gender, triglyceride, HbA1c, anti-diabetic agents, stroke history, and other long-term medications were the most important predictors. CONCLUSIONS We have successfully developed a novel computer-aided dementia risk prediction model that can facilitate the clinical diagnosis and management of patients prescribed with antidiabetic medications. However, further investigation is required to assess the model's feasibility and external validity. CLINICALTRIAL
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Affiliation(s)
- Phan Thanh Phuc
- Taipei Medical University, 250 Wuxing streetXinyi district, Taipei, TW
- University Medical Center Ho Chi Minh City, 215 Hong Bang street, ward 11, district 5, Ho Chi Minh City, VN
| | - Phung-Anh Nguyen
- Taipei Medical University, 250 Wuxing streetXinyi district, Taipei, TW
| | - Nam N Nguyen
- Taipei Medical University, 250 Wuxing streetXinyi district, Taipei, TW
| | - Min-Huei Hsu
- Taipei Medical University, 250 Wuxing streetXinyi district, Taipei, TW
| | - Khanh Nq Le
- Taipei Medical University, 250 Wuxing streetXinyi district, Taipei, TW
| | - Quoc-Viet Tran
- National Taiwan University of Science and Technology, Taipei, TW
| | - Chih-Wei Huang
- Taipei Medical University, 250 Wuxing streetXinyi district, Taipei, TW
| | - Hsuan-Chia Yang
- Taipei Medical University, 250 Wuxing streetXinyi district, Taipei, TW
| | - Cheng-Yu Chen
- Taipei Medical University, 250 Wuxing streetXinyi district, Taipei, TW
| | - Thi Anh Hoa Le
- University Medical Center Ho Chi Minh City, 215 Hong Bang street, ward 11, district 5, Ho Chi Minh City, VN
| | - Minh Khoi Le
- University Medical Center Ho Chi Minh City, 215 Hong Bang street, ward 11, district 5, Ho Chi Minh City, VN
| | - Hoang Bac Nguyen
- University Medical Center Ho Chi Minh City, 215 Hong Bang street, ward 11, district 5, Ho Chi Minh City, VN
| | - Christine Y Lu
- Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, US
- The University of Sydney, Sydney, AU
| | - Jason C Hsu
- Taipei Medical University, 11F, Biomedical Technology Building, No. 301, Yuantong Rd., Zhonghe Dist., New Taipei, TW
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Mehta K, Magliano DJ, Carstensen B, Salim A, Morton JI, Abimanyi-Ochom J, Anstey KJ, Shaw JE, Sacre JW. Impact of type 2 diabetes and its duration on incidence rates of dementia death and medication prescription in the Australian population during 2003-2016. Diabetes Res Clin Pract 2024; 216:111795. [PMID: 39084293 DOI: 10.1016/j.diabres.2024.111795] [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: 05/06/2024] [Revised: 07/16/2024] [Accepted: 07/26/2024] [Indexed: 08/02/2024]
Abstract
AIMS To quantify rates of dementia treatment and death among Australians with type 2 diabetes relative to those without diabetes using linked national registries of Australia. METHODS The study included 891,418 people with type 2 diabetes registered on the National Diabetes Services Scheme and a randomly sampled, population-based comparison group (n = 1,131,369). Outcomes included dementia death (all-cause dementia, Alzheimer's disease (AD) or vascular dementia), and first prescription of cholinesterase inhibitors or memantine. RESULTS Excess dementia risk was observed in the diabetes group for the composite outcome of all-cause dementia death or dementia medication prescription but varied with age at diabetes diagnosis and its duration. At age 70, the rate of dementia death/medication prescription was ∼1.3 (95% CI 1.2, 1.3) and 1.1 (95% CI 1.1, 1.2) times higher in people with ten and five years of diabetes duration, respectively. Individual outcomes showed that diabetes was associated with a higher incidence of vascular dementia death, whereas an increased risk of AD death was only observed beyond ∼10 years of diabetes duration. Further, the incidence of dementia medication prescription was lower among people with diabetes. CONCLUSIONS A higher incidence of AD death in the setting of 10+ years of diabetes duration coupled with a lower incidence of AD treatment suggests an under-recognition of this dementia phenotype among people with type 2 diabetes.
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Affiliation(s)
- Kanika Mehta
- Baker Heart and Diabetes Institute, Melbourne, Australia; Deakin University, IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong, Australia.
| | - Dianna J Magliano
- Baker Heart and Diabetes Institute, Melbourne, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Bendix Carstensen
- Clinical Epidemiology, Steno Diabetes Center Copenhagen, Gentofte, Denmark
| | - Agus Salim
- Baker Heart and Diabetes Institute, Melbourne, Australia; Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia; School of Mathematics and Statistics, The University of Melbourne, Melbourne, Australia
| | - Jedidiah I Morton
- Baker Heart and Diabetes Institute, Melbourne, Australia; Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, Australia
| | - Julie Abimanyi-Ochom
- Deakin Health Economics, School of Health and Social Development, Institute for Health Transformation, Faculty of Health, Deakin University, Geelong, Australia
| | - Kaarin J Anstey
- School of Psychology, University of New South Wales, Sydney, Australia; Neuroscience Research Australia, Sydney, Australia; UNSW Ageing Futures Institute, University of New South Wales, Sydney, Australia
| | - Jonathan E Shaw
- Baker Heart and Diabetes Institute, Melbourne, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Julian W Sacre
- Baker Heart and Diabetes Institute, Melbourne, Australia
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Tian Y, Jing G, Ma M, Yin R, Zhang M. Microglial activation and polarization in type 2 diabetes-related cognitive impairment: A focused review of pathogenesis. Neurosci Biobehav Rev 2024; 165:105848. [PMID: 39142542 DOI: 10.1016/j.neubiorev.2024.105848] [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: 03/25/2024] [Revised: 07/29/2024] [Accepted: 08/11/2024] [Indexed: 08/16/2024]
Abstract
Microglia, as immune cells in the central nervous system, are closely related to cognitive impairment associated with type 2 diabetes (T2D). Preliminary explorations have investigated the relationship between T2D-related cognitive impairment and the activation and polarization of microglia. This review summarizes the potential mechanisms of microglial activation and polarization in the context of T2D. It discusses central inflammatory responses, neuronal apoptosis, amyloid-β deposition, and abnormal phosphorylation of Tau protein mediated by microglial activation and polarization, exploring the connections between microglial activation and polarization and T2D-related cognitive impairment from multiple perspectives. Additionally, this review provides references for future treatment targeting microglia in T2D-related cognitive impairment and for clinical translation.
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Affiliation(s)
- Yue Tian
- Department of Traditional Chinese Medicine, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Guangchan Jing
- Department of Traditional Chinese Medicine, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Mei Ma
- Department of Traditional Chinese Medicine, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Ruiying Yin
- Department of Traditional Chinese Medicine, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Mengren Zhang
- Department of Traditional Chinese Medicine, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China.
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Handelsman Y, Anderson JE, Bakris GL, Ballantyne CM, Bhatt DL, Bloomgarden ZT, Bozkurt B, Budoff MJ, Butler J, Cherney DZI, DeFronzo RA, Del Prato S, Eckel RH, Filippatos G, Fonarow GC, Fonseca VA, Garvey WT, Giorgino F, Grant PJ, Green JB, Greene SJ, Groop PH, Grunberger G, Jastreboff AM, Jellinger PS, Khunti K, Klein S, Kosiborod MN, Kushner P, Leiter LA, Lepor NE, Mantzoros CS, Mathieu C, Mende CW, Michos ED, Morales J, Plutzky J, Pratley RE, Ray KK, Rossing P, Sattar N, Schwarz PEH, Standl E, Steg PG, Tokgözoğlu L, Tuomilehto J, Umpierrez GE, Valensi P, Weir MR, Wilding J, Wright EE. DCRM 2.0: Multispecialty practice recommendations for the management of diabetes, cardiorenal, and metabolic diseases. Metabolism 2024; 159:155931. [PMID: 38852020 DOI: 10.1016/j.metabol.2024.155931] [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: 04/30/2024] [Accepted: 04/30/2024] [Indexed: 06/10/2024]
Abstract
The spectrum of cardiorenal and metabolic diseases comprises many disorders, including obesity, type 2 diabetes (T2D), chronic kidney disease (CKD), atherosclerotic cardiovascular disease (ASCVD), heart failure (HF), dyslipidemias, hypertension, and associated comorbidities such as pulmonary diseases and metabolism dysfunction-associated steatotic liver disease and metabolism dysfunction-associated steatohepatitis (MASLD and MASH, respectively, formerly known as nonalcoholic fatty liver disease and nonalcoholic steatohepatitis [NAFLD and NASH]). Because cardiorenal and metabolic diseases share pathophysiologic pathways, two or more are often present in the same individual. Findings from recent outcome trials have demonstrated benefits of various treatments across a range of conditions, suggesting a need for practice recommendations that will guide clinicians to better manage complex conditions involving diabetes, cardiorenal, and/or metabolic (DCRM) diseases. To meet this need, we formed an international volunteer task force comprising leading cardiologists, nephrologists, endocrinologists, and primary care physicians to develop the DCRM 2.0 Practice Recommendations, an updated and expanded revision of a previously published multispecialty consensus on the comprehensive management of persons living with DCRM. The recommendations are presented as 22 separate graphics covering the essentials of management to improve general health, control cardiorenal risk factors, and manage cardiorenal and metabolic comorbidities, leading to improved patient outcomes.
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Affiliation(s)
| | | | | | - Christie M Ballantyne
- Department of Medicine, Baylor College of Medicine, Texas Heart Institute, Houston, TX, USA
| | - Deepak L Bhatt
- Mount Sinai Fuster Heart Hospital, Icahn School of Medicine at Mount Sinai, NY, New York, USA
| | - Zachary T Bloomgarden
- Department of Internal Medicine, Icahn School of Medicine at Mount Sinai, NY, New York, USA
| | - Biykem Bozkurt
- Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | | | - Javed Butler
- University of Mississippi Medical Center, Jackson, MS, USA
| | - David Z I Cherney
- Division of Nephrology, Department of Medicine, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada
| | | | - Stefano Del Prato
- Interdisciplinary Research Center "Health Science", Sant'Anna School of Advanced Studies, Pisa, Italy
| | - Robert H Eckel
- University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Gerasimos Filippatos
- Department of Cardiology, National and Kapodistrian University of Athens, Athens, Greece
| | | | | | | | - Francesco Giorgino
- Department of Precision and Regenerative Medicine and Ionian Area, University of Bari Aldo Moro, Bari, Italy
| | | | - Jennifer B Green
- Division of Endocrinology, Metabolism, and Nutrition, Duke University School of Medicine, Durham, NC, USA
| | - Stephen J Greene
- Division of Cardiology, Duke University School of Medicine, Durham, NC, USA
| | - Per-Henrik Groop
- Department of Nephrology, University of Helsinki, Finnish Institute for Health and Helsinki University HospitalWelfare, Folkhälsan Research Center, Helsinki, Finland; Department of Diabetes, Central Clinical School, Monash University, Melbourne, Australia
| | - George Grunberger
- Grunberger Diabetes Institute, Bloomfield Hills, MI, USA; Wayne State University School of Medicine, Detroit, MI, USA; Oakland University William Beaumont School of Medicine, Rochester, MI, USA; Charles University, Prague, Czech Republic
| | | | - Paul S Jellinger
- The Center for Diabetes & Endocrine Care, University of Miami Miller School of Medicine, Hollywood, FL, USA
| | | | - Samuel Klein
- Washington University School of Medicine, Saint Louis, MO, USA
| | - Mikhail N Kosiborod
- Saint Luke's Mid America Heart Institute, University of Missouri-Kansas City, Kansas City, MO, USA
| | | | | | - Norman E Lepor
- David Geffen School of Medicine, UCLA, Los Angeles, CA, USA
| | | | - Chantal Mathieu
- Department of Endocrinology, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Christian W Mende
- University of California San Diego School of Medicine, La Jolla, CA, USA
| | - Erin D Michos
- Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Javier Morales
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, Advanced Internal Medicine Group, PC, East Hills, NY, USA
| | - Jorge Plutzky
- Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | | | | | | | | | - Peter E H Schwarz
- Department for Prevention and Care of Diabetes, Faculty of Medicine Carl Gustav Carus at the Technische Universität/TU Dresden, Dresden, Germany
| | - Eberhard Standl
- Munich Diabetes Research Group e.V. at Helmholtz Centre, Munich, Germany
| | - P Gabriel Steg
- Université Paris-Cité, Institut Universitaire de France, AP-HP, Hôpital Bichat, Cardiology, Paris, France
| | | | - Jaakko Tuomilehto
- University of Helsinki, Finnish Institute for Health and Welfare, Helsinki, Finland
| | | | - Paul Valensi
- Polyclinique d'Aubervilliers, Aubervilliers and Paris-Nord University, Paris, France
| | - Matthew R Weir
- Division of Nephrology, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - John Wilding
- University of Liverpool, Liverpool, United Kingdom
| | - Eugene E Wright
- Department of Medicine, Duke University Medical Center, Durham, NC, USA
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Hong B, Bea S, Ko HY, Kim WJ, Cho YM, Shin JY. Sodium-Glucose Cotransporter-2 Inhibitors, Dulaglutide, and Risk for Dementia : A Population-Based Cohort Study. Ann Intern Med 2024; 177:1319-1329. [PMID: 39186787 DOI: 10.7326/m23-3220] [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] [Indexed: 08/28/2024] Open
Abstract
BACKGROUND Both sodium-glucose cotransporter-2 (SGLT2) inhibitors and glucagon-like peptide-1 receptor agonists (GLP-1 RAs) may have neuroprotective effects in patients with type 2 diabetes (T2D). However, their comparative effectiveness in preventing dementia remains uncertain. OBJECTIVE To compare the risk for dementia between SGLT2 inhibitors and dulaglutide (a GLP-1 RA). DESIGN Target trial emulation study. SETTING Nationwide health care data of South Korea obtained from the National Health Insurance Service between 2010 and 2022. PATIENTS Patients aged 60 years or older who have T2D and are initiating treatment with SGLT2 inhibitors or dulaglutide. MEASUREMENTS The primary outcome was the presumed clinical onset of dementia. The date of onset was defined as the year before the date of dementia diagnosis, assuming that the time between the onset of dementia and diagnosis was 1 year. The 5-year risk ratios and risk differences comparing SGLT2 inhibitors with dulaglutide were estimated in a 1:2 propensity score-matched cohort adjusted for confounders. RESULTS Overall, 12 489 patients initiating SGLT2 inhibitor treatment (51.9% dapagliflozin and 48.1% empagliflozin) and 1075 patients initiating dulaglutide treatment were included. In the matched cohort, over a median follow-up of 4.4 years, the primary outcome event occurred in 69 participants in the SGLT2 inhibitor group and 43 in the dulaglutide group. The estimated risk difference was -0.91 percentage point (95% CI, -2.45 to 0.63 percentage point), and the estimated risk ratio was 0.81 (CI, 0.56 to 1.16). LIMITATION Residual confounding is possible; there was no adjustment for hemoglobin A1c levels or duration of diabetes; the study is not representative of newer drugs, including more effective GLP-1 RAs; and the onset of dementia was not measured directly. CONCLUSION Under conventional statistical criteria, a risk for dementia between 2.5 percentage points lower and 0.6 percentage point greater for SGLT2 inhibitors than for dulaglutide was estimated to be highly compatible with the data from this study. However, whether these findings generalize to newer GLP-1 RAs is uncertain. Thus, further studies incorporating newer drugs within these drug classes and better addressing residual confounding are required. PRIMARY FUNDING SOURCE Ministry of Food and Drug Safety of South Korea.
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Affiliation(s)
- Bin Hong
- School of Pharmacy, Sungkyunkwan University, Suwon, South Korea (B.H., H.Y.K.)
| | - Sungho Bea
- School of Pharmacy, Sungkyunkwan University, Suwon, South Korea, and Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts (S.B.)
| | - Hwa Yeon Ko
- School of Pharmacy, Sungkyunkwan University, Suwon, South Korea (B.H., H.Y.K.)
| | - Woo Jung Kim
- Department of Psychiatry, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin; Institute of Behavioral Sciences in Medicine, Yonsei University College of Medicine, Seoul; and Institute for Innovation in Digital Healthcare, Yonsei University, Seoul, South Korea (W.J.K.)
| | - Young Min Cho
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea (Y.M.C.)
| | - Ju-Young Shin
- School of Pharmacy and Department of Biohealth Regulatory Science, Sungkyunkwan University, Suwon, and Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, South Korea (J.-Y.S.)
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8
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Ju RH, Al Snih S. The role of dynapenia and obesity on cognitive function in older adults. Clin Nutr ESPEN 2024; 63:191-196. [PMID: 38963765 PMCID: PMC11424253 DOI: 10.1016/j.clnesp.2024.06.039] [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: 06/17/2024] [Accepted: 06/24/2024] [Indexed: 07/06/2024]
Abstract
BACKGROUND & AIMS Dynapenia and obesity have been independently associated with cognitive decline in older adults, but their co-occurring effects has not been well-studied. The study objective is to examine the relationship between dynapenic-obesity and cognitive impairment in older adults 75 years and older with normal or high cognitive function at baseline over 12 years of follow-up. We hypothesize that those with dynapenic obesity will have greater odds of cognitive function impairment than those with dynapenia only, obesity only, or no dynapenia no obesity (reference group). METHODS A total of 761 participants with a mean age of 81.5 and Mini-Mental State Examination (MMSE) > 21 at baseline were divided into four groups: no dynapenia no obesity (n = 316), obesity only (n = 142), dynapenia only (n = 217), and dynapenic obesity (n = 86). Measures included socio-demographics, medical conditions, body mass index, depressive symptoms, handgrip strength, and limitations in activities of daily living. We performed a mixed models estimate for cognitive decline for these groups over a 12-year period. Handgrip strength (HGS) was measured with a handgrip dynamometer and cognitive function was assessed with MMSE. RESULTS Participants in the dynapenia-obesity group experienced a greater (β = - 1.29, Standard Error = 0.60, p-value = 0.0316) cognitive decline over time compared to those in the no dynapenia and no obesity group, after controlling for all covariates. CONCLUSION Older adults with dynapenic-obesity were at high risk of cognitive decline over time. These findings highlight the need for interventions that target both conditions in this population to help maintain cognitive health. Community-based strength training programs and educational initiatives on nutrition and diet can help older adults reduce their risk of age-related cognitive decline.
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Affiliation(s)
- Rylie H Ju
- John Sealy School of Medicine, The University of Texas Medical Branch, 301 University Boulevard Galveston, TX 77555, USA.
| | - Soham Al Snih
- Department of Population Health and Health Disparities, School of Public and Population Health, The University of Texas Medical Branch, 301 University Boulevard Galveston, TX 77555, USA; Division of Geriatrics & Palliative Medicine, Department of Internal Medicine, The University of Texas Medical Branch, 301 University Boulevard Galveston, TX 77555, USA; Sealy Center on Aging, The University of Texas Medical Branch, 301 University Boulevard Galveston, TX 77555, USA.
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9
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Shamputi D, Kaputu-Kalala-Malu C, Vivalya BMN, Paddick SM, Kalaria R. Challenges in evaluating cognitive impairment in diabetics in the Democratic Republic of the Congo. Dement Neuropsychol 2024; 18:e20230082. [PMID: 39318381 PMCID: PMC11421554 DOI: 10.1590/1980-5764-dn-2023-0082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Revised: 05/07/2024] [Accepted: 06/09/2024] [Indexed: 09/26/2024] Open
Abstract
Dementia is a global public health issue, with 57.5 million people living with at least one type of dementia in 2019 worldwide, and projected to rise to 152 million by 2050. Objective We assessed the cognitive function in diabetic patients aged 60 or older in Bukavu city, in the eastern Republic of the Congo (DRC). Methods This case-control study involved 123 patients with established diabetes mellitus (DM) and 123 controls over 60-year-olds also with high rates of illiteracy. Cognitive function was assessed using the Swahili version of the Community Screening Instrument for Dementia (CSI-D). Results Foremost, our study revealed language-related differences between Swahili spoken in other eastern African countries such as Tanzania and Kenya, where the Swahili CSI-D is readily applied, compared to the Swahili spoken in Bukavu (DRC). Our results also showed that cognitive impairment was present in 18.7% of the total 246 participants. Remarkably, the prevalence rate of cognitive impairment was higher in the non-diabetic group (12.2 versus 25.2%; p=0.009). Participants aged 80 or older were more likely to present with cognitive impairment compared to those aged less than 80 (adjusted odds ratio - aOR=70.27; 95% confidence interval - 95%CI 3.94-125.15; p=0.004). We also found that patients living with DM for more than 20 years were three times more likely to be impaired compared to those who were recently diagnosed with DM (aOR=3.63; 95%CI 1.70-18.81; p=0.026). Conclusion This study revealed that cognitive impairment was relatively high in Bukavu city. It emphasizes the lack of effective tools to assess cognitive function. This requires, therefore, that research be adapted to the intellect and cultural experiences of the patients.
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Affiliation(s)
- David Shamputi
- Université Evangélique En Afrique, University Teaching Hospital of Panzi, Department of Internal Medicine, Bukavu Town, Republic Democratic of Congo
| | - Célestin Kaputu-Kalala-Malu
- University of Kinshasa, Kinshasa University Teaching Hospital, Centre Neuropsychopathologique, Department of Neurology, Republic Democratic of Congo
| | | | - Stella-Maria Paddick
- Newcastle University, Translational and Clinical Research Institute, Campus for Ageing & Vitality, Newcastle upon Tyne, UK
- University of Nairobi, Faculty of Health Sciences, Nairobi, Kenya
| | - Raj Kalaria
- Newcastle University, Translational and Clinical Research Institute, Campus for Ageing & Vitality, Newcastle upon Tyne, UK
- University of Nairobi, Faculty of Health Sciences, Nairobi, Kenya
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Ko J, Park BS, Heo CM, Yi J, Lee DA, Park KM. Effect of glymphatic system function on cognitive function in patients with chronic kidney disease. Front Neurol 2024; 15:1480536. [PMID: 39372703 PMCID: PMC11449729 DOI: 10.3389/fneur.2024.1480536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2024] [Accepted: 09/09/2024] [Indexed: 10/08/2024] Open
Abstract
Objectives Studies have recently shown an alteration of the structural connectivity and a dysfunctional glymphatic system in patients with chronic kidney disease (CKD). In this study, we aimed to investigate the effects of the structural connectivity and glymphatic system on the cognitive function of patients with CKD. Methods We prospectively enrolled patients with CKD and healthy controls. The CKD group was divided into two regarding their cognitive function. All patients received brain magnetic resonance imaging, including diffusion tensor imaging (DTI). We calculated the measures of structural connectivity and diffusion tensor image analysis along the perivascular space (DTI-ALPS) index, a neuroimaging marker of the glymphatic system function, and compared the indices between groups. Results The mean clustering coefficient, local efficiency, and small-worldness index in patients with CKD were lower than those in healthy controls (0.125 ± 0.056 vs. 0.167 ± 0.082, p = 0.008; 1.191 ± 0.183 vs. 1.525 ± 0.651, p = 0.002; 0.090 ± 0.043 vs. 0.143 ± 0.102, p = 0.003; respectively). The DTI-ALPS index was lower in patients with CKD than in healthy controls (1.436 vs. 1.632, p < 0.001). Additionally, the DTI-ALPS index differed significantly between CKD patients with and without cognitive impairment. Notably, this index was lower in patients with CKD and cognitive impairment than in patients without cognitive impairment (1.338 vs. 1.494, p = 0.031). However, there were no differences of the structural connectivity between CKD patients with and without cognitive impairment. Conclusion We found lower DTI-ALPS index in patients with CKD, which could be related with glymphatic system dysfunction. Moreover, those with cognitive impairment in the CKD group had a lower index than those without, indicating a link between the glymphatic system function and cognitive function.
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Affiliation(s)
- Junghae Ko
- Department of Internal Medicine, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea
| | - Bong Soo Park
- Department of Internal Medicine, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea
| | - Chang Min Heo
- Department of Internal Medicine, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea
| | - Jiyae Yi
- Department of Internal Medicine, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea
| | - Dong Ah Lee
- Department of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea
| | - Kang Min Park
- Department of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea
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11
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Rajendran V, Uppoor A, Nayak SU, Rao SB, Dasson Bajaj P. Unraveling the cognitive implications among individuals with co-occurring chronic periodontitis and type 2 diabetes mellitus: A cross-sectional study. J Oral Biosci 2024; 66:605-611. [PMID: 38815752 DOI: 10.1016/j.job.2024.05.008] [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: 02/20/2024] [Revised: 05/24/2024] [Accepted: 05/27/2024] [Indexed: 06/01/2024]
Abstract
OBJECTIVES Chronic periodontitis and type 2 diabetes mellitus (T2DM) are associated with cognitive decline when examined individually. To gain deeper insight into the combined effects of these conditions on cognitive decline, the present study aimed to examine the cognitive status of individuals with co-occurring T2DM and chronic periodontitis. METHODS We recruited 220 participants categorized into four groups: Group I, healthy subjects; Group II, individuals with chronic periodontitis; Group III, individuals with T2DM; and Group IV, individuals with both T2DM and chronic periodontitis. Medical histories were recorded for all participants, followed by periodontal examination and evaluation of cognitive status using the Montreal Cognitive Assessment (MoCA) scale. Finger dexterity was assessed using the nine-hole peg test. RESULTS A statistically significant increase in the proportion of mild cognitive impairment (MCI) was observed between groups I and IV (p < 0.001). Logistic regression analysis revealed that, among the parameters assessed in this study, the adjusted odds ratio (OR) was significant for age, finger dexterity scores, and co-occurrence of T2DM and periodontitis. CONCLUSIONS The findings of this study suggest that the co-occurrence of chronic periodontitis and T2DM can have a detrimental effect on the cognitive abilities of an individual. Subsequent research should include longitudinal monitoring of the cognitive status in patients with concurrent conditions during treatment to gain deeper prognostic insights into the relationship between these co-occurring conditions and cognitive decline.
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Affiliation(s)
- Valliammai Rajendran
- Department of Periodontology, Manipal College of Dental Sciences Mangalore, Manipal Academy of Higher Education, Karnataka, Manipal, 576104, India.
| | - Ashita Uppoor
- Department of Periodontology, Manipal College of Dental Sciences Mangalore, Manipal Academy of Higher Education, Karnataka, Manipal, 576104, India.
| | - Sangeeta Umesh Nayak
- Department of Periodontology, Manipal College of Dental Sciences Mangalore, Manipal Academy of Higher Education, Karnataka, Manipal, 576104, India.
| | - Satish B Rao
- Department of Medicine, Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Karnataka, Manipal, 576104, India.
| | - Parul Dasson Bajaj
- Department of Public Health Dentistry, Manipal College of Dental Sciences Mangalore, Manipal Academy of Higher Education, Karnataka, Manipal, 576104, India.
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12
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Doroszkiewicz J, Mroczko J, Winkel I, Mroczko B. Metabolic and Immune System Dysregulation: Unraveling the Connections between Alzheimer's Disease, Diabetes, Inflammatory Bowel Diseases, and Rheumatoid Arthritis. J Clin Med 2024; 13:5057. [PMID: 39274269 PMCID: PMC11396443 DOI: 10.3390/jcm13175057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2024] [Revised: 08/22/2024] [Accepted: 08/23/2024] [Indexed: 09/16/2024] Open
Abstract
Alzheimer's disease (AD), diabetes mellitus (DM), inflammatory bowel diseases (IBD), and rheumatoid arthritis (RA) are chronic conditions affecting millions globally. Despite differing clinical symptoms, these diseases share pathophysiological mechanisms involving metabolic and immune system dysregulation. This paper examines the intricate connections between these disorders, focusing on shared pathways such as insulin resistance, lipid metabolism dysregulation, oxidative stress, and chronic inflammation. An important aspect is the role of amyloid-beta plaques and tau protein tangles, which are hallmark features of AD. These protein aggregates are influenced by metabolic dysfunction and inflammatory processes similar to those seen in DM, RA, and IBD. This manuscript explores how amyloid and tau pathologies may be exacerbated by shared metabolic and immune dysfunction. Additionally, this work discusses the gut-brain axis and the influence of gut microbiota in mediating disease interactions. Understanding these commonalities opens new avenues for multi-targeted therapeutic approaches that address the root causes rather than merely the symptoms of these conditions. This integrative perspective could lead to more effective interventions and improved patient outcomes, emphasizing the importance of a unified approach in managing these interconnected diseases.
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Affiliation(s)
- Julia Doroszkiewicz
- Department of Neurodegeneration Diagnostics, Medical University of Bialystok, 15-269 Bialystok, Poland
| | - Jan Mroczko
- Department of Neurodegeneration Diagnostics, Medical University of Bialystok, 15-269 Bialystok, Poland
| | - Izabela Winkel
- Dementia Disorders Centre, Medical University of Wroclaw, 50-425 Scinawa, Poland
| | - Barbara Mroczko
- Department of Neurodegeneration Diagnostics, Medical University of Bialystok, 15-269 Bialystok, Poland
- Department of Biochemical Diagnostics, Medical University of Bialystok, 15-269 Bialystok, Poland
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13
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Livingston G, Huntley J, Liu KY, Costafreda SG, Selbæk G, Alladi S, Ames D, Banerjee S, Burns A, Brayne C, Fox NC, Ferri CP, Gitlin LN, Howard R, Kales HC, Kivimäki M, Larson EB, Nakasujja N, Rockwood K, Samus Q, Shirai K, Singh-Manoux A, Schneider LS, Walsh S, Yao Y, Sommerlad A, Mukadam N. Dementia prevention, intervention, and care: 2024 report of the Lancet standing Commission. Lancet 2024; 404:572-628. [PMID: 39096926 DOI: 10.1016/s0140-6736(24)01296-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 04/08/2024] [Accepted: 06/16/2024] [Indexed: 08/05/2024]
Affiliation(s)
- Gill Livingston
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK.
| | - Jonathan Huntley
- Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK
| | - Kathy Y Liu
- Division of Psychiatry, University College London, London, UK
| | - Sergi G Costafreda
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
| | - Geir Selbæk
- Norwegian National Advisory Unit on Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway; Geriatric Department, Oslo University Hospital, Oslo, Norway
| | - Suvarna Alladi
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | - David Ames
- National Ageing Research Institute, Melbourne, VIC, Australia; University of Melbourne Academic Unit for Psychiatry of Old Age, Melbourne, VIC, Australia
| | - Sube Banerjee
- Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, UK
| | | | - Carol Brayne
- Cambridge Public Health, University of Cambridge, Cambridge, UK
| | - Nick C Fox
- The Dementia Research Centre, Department of Neurodegenerative Disease, University College London, London, UK
| | - Cleusa P Ferri
- Health Technology Assessment Unit, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil; Department of Psychiatry, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Laura N Gitlin
- College of Nursing and Health Professions, AgeWell Collaboratory, Drexel University, Philadelphia, PA, USA
| | - Robert Howard
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
| | - Helen C Kales
- Department of Psychiatry and Behavioral Sciences, UC Davis School of Medicine, University of California, Sacramento, CA, USA
| | - Mika Kivimäki
- Division of Psychiatry, University College London, London, UK; Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Eric B Larson
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Noeline Nakasujja
- Department of Psychiatry College of Health Sciences, Makerere University College of Health Sciences, Makerere University, Kampala City, Uganda
| | - Kenneth Rockwood
- Centre for the Health Care of Elderly People, Geriatric Medicine, Dalhousie University, Halifax, NS, Canada
| | - Quincy Samus
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins Bayview, Johns Hopkins University, Baltimore, MD, USA
| | - Kokoro Shirai
- Graduate School of Social and Environmental Medicine, Osaka University, Osaka, Japan
| | - Archana Singh-Manoux
- Division of Psychiatry, University College London, London, UK; Université Paris Cité, Inserm U1153, Paris, France
| | - Lon S Schneider
- Department of Psychiatry and the Behavioural Sciences and Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Sebastian Walsh
- Cambridge Public Health, University of Cambridge, Cambridge, UK
| | - Yao Yao
- China Center for Health Development Studies, School of Public Health, Peking University, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Andrew Sommerlad
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
| | - Naaheed Mukadam
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
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14
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Nothelle S, Kleijwegt H, Bollens-Lund E, Covinsky K, Ankuda C. The effect of dementia on patterns of healthcare use in older adults with diabetes. J Am Geriatr Soc 2024; 72:2391-2401. [PMID: 38819620 PMCID: PMC11323160 DOI: 10.1111/jgs.19010] [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: 01/20/2024] [Revised: 05/01/2024] [Accepted: 05/04/2024] [Indexed: 06/01/2024]
Abstract
BACKGROUND For persons with diabetes, incidence of dementia has been associated with increased hospitalization; however, little is known about healthcare use preceding and following incident dementia. We describe healthcare utilization in the 3 years pre- and post-incident dementia among older adults with diabetes. METHODS We used the National Health and Aging Trends Study (NHATS) linked to Medicare fee-for-service claims from 2011 to 2018. We included community-dwelling adults ≥65 years who had diabetes without dementia. We matched older adults with dementia (identified with validated NHATS algorithm) at the year of incident dementia to controls using coarsened exact matching. We examined annual outpatient visits, emergency department (ED) visits, hospitalization, and post-acute skilled nursing facility (SNF) use 3 years preceding and 3 years following dementia onset. RESULTS We included 195 older adults with diabetes with incident dementia and 1107 controls. Groups had a similar age (81.6 vs 81.7 years) and were 56.4% female. Persons with dementia were more likely to be of minority racial and ethnic groups (26.7% vs 21.3% Black, non-Hispanic, 15.3% vs 6.7% other race or Hispanic). We observed a larger decrease in outpatient visits among persons with dementia, primarily due to decreasing specialty visits (mean outpatient visits: 3 years pre-dementia/matching 6.8 (SD 2.6) dementia vs 6.4 (SD 2.6) controls, p < 0.01 to 3 years post-dementia/matching 4.6 (SD 2.3) dementia vs 5.5 (SD 2.7) controls, p < 0.01). Hospitalization, ED visits, and post-acute SNF use were higher for persons with dementia and rose in both groups (e.g., ED visits 3 years pre-dementia/matching 3.9 (SD 5.4) dementia vs 2.2 (SD 4.8) controls, p < 0.001; 3 years post-dementia/matching 4.5 (SD 4.7) dementia vs 3.5 (SD 6.1) controls, p = 0.04). CONCLUSIONS Older adults with diabetes with incident dementia have higher rates of acute and post-acute care use, but decreasing outpatient use over time, primarily due to a decrease in specialty visits.
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Affiliation(s)
- Stephanie Nothelle
- Division of Geriatric Medicine and Gerontology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Hannah Kleijwegt
- Brookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Evan Bollens-Lund
- Brookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kenneth Covinsky
- Division of Geriatrics, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Claire Ankuda
- Brookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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15
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Peng Y, Yao SY, Chen Q, Jin H, Du MQ, Xue YH, Liu S. True or false? Alzheimer's disease is type 3 diabetes: Evidences from bench to bedside. Ageing Res Rev 2024; 99:102383. [PMID: 38955264 DOI: 10.1016/j.arr.2024.102383] [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: 04/17/2024] [Revised: 06/12/2024] [Accepted: 06/17/2024] [Indexed: 07/04/2024]
Abstract
Globally, Alzheimer's disease (AD) is the most widespread chronic neurodegenerative disorder, leading to cognitive impairment, such as aphasia and agnosia, as well as mental symptoms, like behavioral abnormalities, that place a heavy psychological and financial burden on the families of the afflicted. Unfortunately, no particular medications exist to treat AD, as the current treatments only impede its progression.The link between AD and type 2 diabetes (T2D) has been increasingly revealed by research; the danger of developing both AD and T2D rises exponentially with age, with T2D being especially prone to AD. This has propelled researchers to investigate the mechanism(s) underlying this connection. A critical review of the relationship between insulin resistance, Aβ, oxidative stress, mitochondrial hypothesis, abnormal phosphorylation of Tau protein, inflammatory response, high blood glucose levels, neurotransmitters and signaling pathways, vascular issues in AD and diabetes, and the similarities between the two diseases, is presented in this review. Grasping the essential mechanisms behind this detrimental interaction may offer chances to devise successful therapeutic strategies.
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Affiliation(s)
- Yong Peng
- Department of Neurology, Affiliated First Hospital of Hunan Traditional Chinese Medical College, Zhuzhou, Hunan, China; Department of Neurology, Affiliated Provincial Traditional Chinese Medical Hospital of Hunan University of Chinese Medicine, Zhuzhou, Hunan, China.
| | - Shun-Yu Yao
- Department of Neurology, Affiliated First Hospital of Hunan Traditional Chinese Medical College, Zhuzhou, Hunan, China; Department of Neurology, Affiliated Provincial Traditional Chinese Medical Hospital of Hunan University of Chinese Medicine, Zhuzhou, Hunan, China
| | - Quan Chen
- Department of Neurology, Affiliated First Hospital of Hunan Traditional Chinese Medical College, Zhuzhou, Hunan, China; Department of Neurology, Affiliated Provincial Traditional Chinese Medical Hospital of Hunan University of Chinese Medicine, Zhuzhou, Hunan, China
| | - Hong Jin
- Department of Neurology, Affiliated First Hospital of Hunan Traditional Chinese Medical College, Zhuzhou, Hunan, China; Department of Neurology, Affiliated Provincial Traditional Chinese Medical Hospital of Hunan University of Chinese Medicine, Zhuzhou, Hunan, China
| | - Miao-Qiao Du
- Department of Neurology, Affiliated First Hospital of Hunan Traditional Chinese Medical College, Zhuzhou, Hunan, China; Department of Neurology, Affiliated Provincial Traditional Chinese Medical Hospital of Hunan University of Chinese Medicine, Zhuzhou, Hunan, China
| | - Ya-Hui Xue
- Department of Neurology, Affiliated First Hospital of Hunan Traditional Chinese Medical College, Zhuzhou, Hunan, China; Department of Neurology, Affiliated Provincial Traditional Chinese Medical Hospital of Hunan University of Chinese Medicine, Zhuzhou, Hunan, China
| | - Shu Liu
- Department of Neurology, Affiliated First Hospital of Hunan Traditional Chinese Medical College, Zhuzhou, Hunan, China; Department of Neurology, Affiliated Provincial Traditional Chinese Medical Hospital of Hunan University of Chinese Medicine, Zhuzhou, Hunan, China
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16
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Sugimoto T, Saji N, Omura T, Tokuda H, Miura H, Kawashima S, Ando T, Nakamura A, Uchida K, Matsumoto N, Fujita K, Kuroda Y, Crane PK, Sakurai T. Cross-sectional association of continuous glucose monitoring-derived metrics with cerebral small vessel disease in older adults with type 2 diabetes. Diabetes Obes Metab 2024; 26:3318-3327. [PMID: 38764360 DOI: 10.1111/dom.15659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Revised: 04/23/2024] [Accepted: 04/30/2024] [Indexed: 05/21/2024]
Abstract
AIM To examine cross-sectional associations between continuous glucose monitoring (CGM)-derived metrics and cerebral small vessel disease (SVD) in older adults with type 2 diabetes. MATERIALS AND METHODS In total, 80 patients with type 2 diabetes aged ≥70 years were analysed. Participants underwent CGM for 14 days. From the CGM data, we derived mean sensor glucose, percentage glucose coefficient of variation, mean amplitude of glucose excursion, time in range (TIR, 70-180 mg/dl), time above range (TAR) and time below range metrics, glycaemia risk index and high/low blood glucose index. The presence of cerebral SVD, including lacunes, microbleeds, enlarged perivascular spaces and white matter hyperintensities, was assessed, and the total number of these findings comprised the total cerebral SVD score (0-4). Ordinal logistic regression analyses were performed to examine the association of CGM-derived metrics with the total SVD score. RESULTS The median SVD score was 1 (interquartile range 0-2). Higher hyperglycaemic metrics, including mean sensor glucose, TAR >180 mg/dl, TAR >250 mg/dl, and high blood glucose index and glycaemia risk index, were associated with a higher total SVD score. In contrast, a higher TIR (per 10% increase) was associated with a lower total SVD score (odds ratio 0.73, 95% confidence interval 0.56-0.95). Glycated haemoglobin, percentage glucose coefficient of variation, mean amplitude of glucose excursions, time below range and low blood glucose index were not associated with total cerebral SVD scores. CONCLUSIONS The hyperglycaemia metrics and TIR, derived from CGM, were associated with cerebral SVD in older adults with type 2 diabetes.
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Affiliation(s)
- Taiki Sugimoto
- Department of Prevention and Care Science, Research Institute, National Center for Geriatrics and Gerontology, Obu, Japan
- Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Naoki Saji
- Center for Comprehensive Care and Research on Memory Disorders, Hospital, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Takuya Omura
- Department of Metabolic Research, Research Institute, National Center for Geriatrics and Gerontology, Obu, Japan
- Department of Endocrinology and Metabolism, Hospital, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Haruhiko Tokuda
- Department of Metabolic Research, Research Institute, National Center for Geriatrics and Gerontology, Obu, Japan
- Department of Endocrinology and Metabolism, Hospital, National Center for Geriatrics and Gerontology, Obu, Japan
- Department of Clinical Laboratory, Hospital, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Hisayuki Miura
- Department of Endocrinology and Metabolism, Hospital, National Center for Geriatrics and Gerontology, Obu, Japan
- Department of Home Care and Regional Liaison Promotion, Hospital, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Shuji Kawashima
- Department of Endocrinology and Metabolism, Hospital, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Takafumi Ando
- Information Technology and Human Factors, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan
| | - Akinori Nakamura
- Department of Biomarker Research, Research Institute, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Kazuaki Uchida
- Department of Prevention and Care Science, Research Institute, National Center for Geriatrics and Gerontology, Obu, Japan
- Department of Rehabilitation Science, Graduate School of Health Sciences, Kobe University, Kobe, Japan
| | - Nanae Matsumoto
- Department of Prevention and Care Science, Research Institute, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Kosuke Fujita
- Department of Prevention and Care Science, Research Institute, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Yujiro Kuroda
- Department of Prevention and Care Science, Research Institute, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Paul K Crane
- Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Takashi Sakurai
- Department of Prevention and Care Science, Research Institute, National Center for Geriatrics and Gerontology, Obu, Japan
- Department of Cognition and Behavior Science, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Research Institute, National Center for Geriatrics and Gerontology, Obu, Japan
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Carey C, Mulcahy E, McCarthy FP, Jennings E, Kublickiene K, Khashan A, Barrett P. Hypertensive disorders of pregnancy and the risk of maternal dementia: a systematic review and meta-analysis. Am J Obstet Gynecol 2024; 231:196-210. [PMID: 38278201 DOI: 10.1016/j.ajog.2024.01.013] [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: 09/14/2023] [Revised: 01/05/2024] [Accepted: 01/17/2024] [Indexed: 01/28/2024]
Abstract
OBJECTIVE Hypertensive disorders of pregnancy, including preeclampsia, are associated with an increased risk for maternal cardiovascular disease, stroke, and chronic kidney disease. However, their association with subsequent maternal dementia or cognitive impairment is less well understood. This study aimed to review and synthesize the published literature on hypertensive disorders of pregnancy and the subsequent risk for maternal dementia or cognitive impairment. DATA SOURCES PubMed, Web of Science, Pyschinfo, and CINAHL were searched from database inception until July 31, 2022, for observational studies of hypertensive disorders of pregnancy and maternal dementia or cognitive impairment. STUDY ELIGIBILITY CRITERIA Selected studies included the following: a population of pregnant women, exposure to a hypertensive disorder of pregnancy of interest, and at least 1 primary outcome (dementia) or secondary outcome (cognitive impairment). Two reviewers were involved in study selection. METHODS We followed the Meta-analyses of Observational Studies in Epidemiology guidelines throughout. Random-effects meta-analyses were used to calculate the overall pooled estimates. Bias was assessed using an adapted version of the validated Newcastle-Ottawa Quality Assessment tool. RESULTS A total of 25 eligible studies were identified and included 2,501,673 women. Preeclampsia was associated with a significantly increased risk for vascular dementia (adjusted hazard ratio, 1.89; 95% confidence interval, 1.47-2.43), whereas no clear association was noted between preeclampsia and Alzheimer's disease (adjusted hazard ratio, 1.27; 95% confidence interval, 0.95-1.70), nor between preeclampsia and any (undifferentiated) dementia (adjusted hazard ratio, 1.18; 95% confidence interval, 0.95-1.47). However, in an analysis restricted to women aged 65 years and older, preeclampsia was associated with an increased risk for Alzheimer's disease (adjusted hazard ratio, 1.92; 95% confidence interval, 1.35-2.73) and any dementia (adjusted hazard ratio, 1.87; 95% confidence interval, 1.21-2.91). CONCLUSION Women whose pregnancies were complicated by preeclampsia seem to be at a substantially increased future risk for vascular dementia. The longer-term risks among these women with regards to Alzheimer's disease and other forms of dementia are less clear.
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Affiliation(s)
- Cian Carey
- School of Public Health, University College Cork, Cork, Ireland
| | - Emily Mulcahy
- School of Public Health, University College Cork, Cork, Ireland
| | - Fergus P McCarthy
- Irish Centre for Maternal and Child Health Research, Cork University Maternity Hospital, University College Cork, Cork, Ireland; Department of Obstetrics and Gynaecology, Cork University Maternity Hospital, Cork, Ireland (Dr McCarthy)
| | - Emma Jennings
- School of Medicine, University College Cork, Cork, Ireland; Department of Geriatric Medicine, Cork University and Mallow General Hospital, Cork, Ireland
| | - Karolina Kublickiene
- Division of Renal Medicine, Department of Clinical Intervention, Science and Technology (CLINTEC), Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Ali Khashan
- School of Public Health, University College Cork, Cork, Ireland; Irish Centre for Maternal and Child Health Research, Cork University Maternity Hospital, University College Cork, Cork, Ireland
| | - Peter Barrett
- School of Public Health, University College Cork, Cork, Ireland; Department of Public Health Area D (Cork & Kerry), St. Finbarr's Hospital, Cork, Ireland.
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18
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Xu J, Xie L, Yin J, Shi X, Dong K, Tao J, Xu W, Ma D, Zhang S, Chen J, Yang Y. A High-Carbohydrate Diet Induces Cognitive Impairment and Promotes Amyloid Burden and Tau Phosphorylation via PI3K/Akt/GSK-3β Pathway in db/db Mice. Biomedicines 2024; 12:1701. [PMID: 39200168 PMCID: PMC11351503 DOI: 10.3390/biomedicines12081701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Revised: 07/16/2024] [Accepted: 07/29/2024] [Indexed: 09/02/2024] Open
Abstract
BACKGROUND Cognitive impairment is a prevalent complication of type 2 diabetes, influenced significantly by various dietary patterns. High-carbohydrate diets (HCDs) are commonly consumed nowadays; however, the specific impact of HCDs on cognitive function in diabetes remains unclear. METHODS The objective of this study was to investigate whether an HCD has effects on cognition in diabetes. Eight-week-old diabetic (db/db) mice and wild-type (WT) mice underwent a twelve-week dietary intervention, including a normal diet (ND), an HCD, or a high-fat diet (HFD). Following this, behavioral tests were conducted, and related hippocampal pathology was evaluated. RESULTS Our results demonstrated that an HCD exacerbated cognitive decline in db/db mice compared to an ND. Additionally, an HCD increased amyloid-β burden and expression of β-site APP cleaving enzyme-1. An HCD was also found to promote the phosphorylation of tau protein via the PI3K/Akt/GSK-3β pathway. Furthermore, an HCD markedly induced neuroinflammation and increased the quantity of microglia and astrocytes. However, these damages induced by an HCD were less severe than those caused by an HFD. CONCLUSIONS Collectively, our findings indicate that a high intake of carbohydrates can have an adverse impact on cognitive function in diabetes.
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Affiliation(s)
- Jialu Xu
- Department of Endocrinology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
- Branch of National Clinical Research Center for Metabolic Diseases, Wuhan 430030, China
| | - Lei Xie
- Department of Endocrinology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
- Branch of National Clinical Research Center for Metabolic Diseases, Wuhan 430030, China
| | - Jiaxin Yin
- Department of Endocrinology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
- Branch of National Clinical Research Center for Metabolic Diseases, Wuhan 430030, China
| | - Xiaoli Shi
- Department of Endocrinology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
- Branch of National Clinical Research Center for Metabolic Diseases, Wuhan 430030, China
| | - Kun Dong
- Department of Endocrinology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
- Branch of National Clinical Research Center for Metabolic Diseases, Wuhan 430030, China
| | - Jing Tao
- Department of Endocrinology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
- Branch of National Clinical Research Center for Metabolic Diseases, Wuhan 430030, China
| | - Weijie Xu
- Department of Endocrinology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
- Branch of National Clinical Research Center for Metabolic Diseases, Wuhan 430030, China
| | - Delin Ma
- Department of Endocrinology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
- Branch of National Clinical Research Center for Metabolic Diseases, Wuhan 430030, China
| | - Shujun Zhang
- Department of Endocrinology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
- Branch of National Clinical Research Center for Metabolic Diseases, Wuhan 430030, China
| | - Juan Chen
- Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yan Yang
- Department of Endocrinology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
- Branch of National Clinical Research Center for Metabolic Diseases, Wuhan 430030, China
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19
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Kharaghani A, Tio ES, Milic M, Bennett DA, De Jager PL, Schneider JA, Sun L, Felsky D. Association of whole-person eigen-polygenic risk scores with Alzheimer's disease. Hum Mol Genet 2024; 33:1315-1327. [PMID: 38679805 PMCID: PMC11262744 DOI: 10.1093/hmg/ddae067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 03/06/2024] [Accepted: 04/05/2024] [Indexed: 05/01/2024] Open
Abstract
Late-Onset Alzheimer's Disease (LOAD) is a heterogeneous neurodegenerative disorder with complex etiology and high heritability. Its multifactorial risk profile and large portions of unexplained heritability suggest the involvement of yet unidentified genetic risk factors. Here we describe the "whole person" genetic risk landscape of polygenic risk scores for 2218 traits in 2044 elderly individuals and test if novel eigen-PRSs derived from clustered subnetworks of single-trait PRSs can improve the prediction of LOAD diagnosis, rates of cognitive decline, and canonical LOAD neuropathology. Network analyses revealed distinct clusters of PRSs with clinical and biological interpretability. Novel eigen-PRSs (ePRS) from these clusters significantly improved LOAD-related phenotypes prediction over current state-of-the-art LOAD PRS models. Notably, an ePRS representing clusters of traits related to cholesterol levels was able to improve variance explained in a model of the brain-wide beta-amyloid burden by 1.7% (likelihood ratio test P = 9.02 × 10-7). All associations of ePRS with LOAD phenotypes were eliminated by the removal of APOE-proximal loci. However, our association analysis identified modules characterized by PRSs of high cholesterol and LOAD. We believe this is due to the influence of the APOE region from both PRSs. We found significantly higher mean SNP effects for LOAD in the intersecting APOE region SNPs. Combining genetic risk factors for vascular traits and dementia could improve current single-trait PRS models of LOAD, enhancing the use of PRS in risk stratification. Our results are catalogued for the scientific community, to aid in generating new hypotheses based on our maps of clustered PRSs and associations with LOAD-related phenotypes.
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Affiliation(s)
- Amin Kharaghani
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON M5T 1R8, Canada
- Dalla Lana School of Public Health, University of Toronto, 155 College Street, Toronto, ON M5T 3M7, Canada
| | - Earvin S Tio
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON M5T 1R8, Canada
- Institute of Medical Science, Department of Psychiatry, University of Toronto, 1 King's College Circle, Toronto, ON M5S 1A8, Canada
| | - Milos Milic
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON M5T 1R8, Canada
| | - David A Bennett
- Rush Alzheimer’s Disease Center, Rush University Medical Center, 1750 West Harrison Street, Chicago, IL 60612, United States
| | - Philip L De Jager
- Centre for Translational and Computational Neuroimmunology, Columbia University Medical Center, 622 West 168th Street, New York, NY 10032, United States
| | - Julie A Schneider
- Rush Alzheimer’s Disease Center, Rush University Medical Center, 1750 West Harrison Street, Chicago, IL 60612, United States
| | - Lei Sun
- Dalla Lana School of Public Health, University of Toronto, 155 College Street, Toronto, ON M5T 3M7, Canada
- Department of Statistical Sciences, University of Toronto, 700 University Avenue, Toronto, ON M5G 1X6, Canada
| | - Daniel Felsky
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON M5T 1R8, Canada
- Dalla Lana School of Public Health, University of Toronto, 155 College Street, Toronto, ON M5T 3M7, Canada
- Institute of Medical Science, Department of Psychiatry, University of Toronto, 1 King's College Circle, Toronto, ON M5S 1A8, Canada
- Department of Psychiatry, University of Toronto, 250 College Street, Toronto, ON M5T 1R8, Canada
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20
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Hand LK, Taylor MK, Sullivan DK, Siengsukon CF, Morris JK, Martin LE, Hull HR. Pregnancy as a window of opportunity for dementia prevention: a narrative review. Nutr Neurosci 2024:1-13. [PMID: 38970804 DOI: 10.1080/1028415x.2024.2371727] [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: 07/08/2024]
Abstract
Dementia is a debilitating condition with a disproportionate impact on women. While sex differences in longevity contribute to the disparity, the role of the female sex as a biological variable in disease progression is not yet fully elucidated. Metabolic dysfunctions are drivers of dementia etiology, and cardiometabolic diseases are among the most influential modifiable risk factors. Pregnancy is a time of enhanced vulnerability for metabolic disorders. Many dementia risk factors, such as hypertension or blood glucose dysregulation, often emerge for the first time in pregnancy. While such cardiometabolic complications in pregnancy pose a risk to the health trajectory of a woman, increasing her odds of developing type 2 diabetes or chronic hypertension, it is not fully understood how this relates to her risk for dementia. Furthermore, structural and functional changes in the maternal brain have been reported during pregnancy suggesting it is a time of neuroplasticity for the mother. Therefore, pregnancy may be a window of opportunity to optimize metabolic health and support the maternal brain. Healthy dietary patterns are known to reduce the risk of cardiometabolic diseases and have been linked to dementia prevention, yet interventions targeting cognitive function in late life have largely been unsuccessful. Earlier interventions are needed to address the underlying metabolic dysfunctions and potentially reduce the risk of dementia, and pregnancy offers an ideal opportunity to intervene. This review discusses current evidence regarding maternal brain health and the potential window of opportunity in pregnancy to use diet to address neurological health disparities for women.
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Affiliation(s)
- Lauren K Hand
- Department of Dietetics and Nutrition, School of Health Professions, University of Kansas Medical Center, Kansas City, KS, USA
| | - Matthew K Taylor
- Department of Dietetics and Nutrition, School of Health Professions, University of Kansas Medical Center, Kansas City, KS, USA
| | - Debra K Sullivan
- Department of Dietetics and Nutrition, School of Health Professions, University of Kansas Medical Center, Kansas City, KS, USA
| | - Catherine F Siengsukon
- Department of Physical Therapy, Rehabilitation Science, and Athletic Training, University of Kansas Medical Center, Kansas City, KS, USA
| | - Jill K Morris
- Department of Neurology, University of Kansas Medical Center, Kansas City, KS, USA
| | - Laura E Martin
- Department of Population Health, University of Kansas Medical Center, Kansas City, KS, USA
- Hoglund Biomedical Imaging Center, University of Kansas Medical Center, Kansas City, KS, USA
| | - Holly R Hull
- Department of Dietetics and Nutrition, School of Health Professions, University of Kansas Medical Center, Kansas City, KS, USA
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21
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Herrarte C, Martinez M, Gonzalvo JD, Davis BT, Thoma LM, Campbell NL. Evaluation of tricyclic antidepressant deprescribing in the treatment of diabetic peripheral neuropathy within federally qualified health centers. J Am Pharm Assoc (2003) 2024; 64:102113. [PMID: 38705467 DOI: 10.1016/j.japh.2024.102113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 04/26/2024] [Accepted: 04/27/2024] [Indexed: 05/07/2024]
Abstract
BACKGROUND Tricyclic antidepressants (TCAs) are a treatment option for diabetic peripheral neuropathy (DPN). Existing evidence demonstrates the prolonged use of TCA therapy increases the risk of cognitive decline and dementia, likely due to the anticholinergic effects of these medications. Anticholinergic activity is thought to contribute significantly to the observed increase in cognitive decline and dementia risks associated with long-term TCA use. There is little information available to describe the usage patterns of TCAs in DPN, particularly within underserved populations who receive care at federally qualified health centers. OBJECTIVES The objective of this study was to characterize (1) prescribing patterns of TCAs as a treatment for DPN and (2) evidence of deprescribing attempts in an FQHC population. METHODS A retrospective chart review of electronic medical record data for patients at 2 different FQHCs was performed. A convenience sample of 100 adults ≥ 18 years of age was stratified into 2 age groups, 18-55 years and 55+ years. All patients had a diagnosis of type 1 or type 2 diabetes mellitus and had been prescribed TCAs in the previous 4 years and had a visit with a primary care provider in the past 12 months. RESULTS The study population was comprised of 100 individuals. Seventy-four of 100 were persistent users of TCAs at the time of data collection, and the mean duration of utilization was 54.8 months. In total, 104 TCAs were prescribed across 100 individual patients. Of all 104 prescribed TCAs, 66 (63%) were prescribed at a rate that exceeded thresholds associated with a higher risk of dementia. Black older adults prescribed TCAs were more likely to exceed this dose threshold. CONCLUSION Sixty-five percent of patients used TCAs with a strength, frequency, and duration that exceeded risk thresholds for dementia in an older adult population. Interventions preventing use of or deprescribing TCAs in patients with DPN should be conducted for the potential benefits of preventing or delaying cognitive impairment and promoting equitable care.
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22
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Tang B, Sjölander A, Wastesson JW, Maura G, Blotiere PO, Szilcz M, Mak JK, Qin C, Alvarsson M, Religa D, Johnell K, Hägg S. Comparative effectiveness of glucagon-like peptide-1 agonists, dipeptidyl peptidase-4 inhibitors, and sulfonylureas on the risk of dementia in older individuals with type 2 diabetes in Sweden: an emulated trial study. EClinicalMedicine 2024; 73:102689. [PMID: 39429814 PMCID: PMC11490655 DOI: 10.1016/j.eclinm.2024.102689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Revised: 05/25/2024] [Accepted: 05/30/2024] [Indexed: 10/22/2024] Open
Abstract
Background The comparative effectiveness of glucagon-like peptide-1 (GLP-1) agonists, dipeptidyl peptidase-4 (DPP-4) inhibitors, and sulfonylureas on the risk of dementia in older individuals with type 2 diabetes mellitus (T2DM) is unknown. Methods We conducted a sequential trial emulation from 1st January 2010 to 30th June 2020 using data from Swedish national registers. Swedish residents who were aged 65 or older, had type 2 diabetes (T2DM), and initiated GLP-1 agonists, DPP-4 inhibitors, or sulfonylureas were followed for up to 10 years to assess the risk of dementia. Participants who had dementia, used the three drug classes, or had contraindications were excluded from enrollment. The characteristics between arms were balanced through the application of propensity scores estimated from predefined covariates. Intention-to-treat effects were analysed with all enrolled participants, while the per-protocol effects were analysed with participants who adhered to the assigned treatment. Findings The pooled trial included 88,381 participants who received prescriptions for GLP-1 agonists (n = 12,351), DPP-4 inhibitors (n = 43,850), or sulfonylureas (n = 32,216) at baseline and were followed for an average of 4.3 years. A total of 4607 dementia cases developed during follow-up: 278 for the GLP-1 agonist initiators (incidence rate: 6.7 per 1000 person years), 1849 for DPP-4 inhibitor initiators (IR: 11.8), and 2480 for sulfonylurea initiators (IR: 13.7). In an intention-to-treat analysis, GLP-1 agonist initiation was associated with a reduced risk of dementia compared to sulfonylureas (hazard ratio: 0.69, 95% CI: 0.60-0.79, p < 0.0001) and DPP-4 inhibitors (HR: 0.77, 95% CI: 0.68-0.88, p < 0.0001), after adjusting for age, enrollment year, sex, socioeconomic factors, health conditions, and past medication uses. These findings were consistent in several sensitivity analyses, including a per-protocol analysis (HR for sulfonylureas: 0.41, 95% CI: 0.32-0.53, p < 0.0001; HR for DPP-4 inhibitors: 0.38, 95% CI: 0.30-0.49, p < 0.0001). Interpretation Our research suggested that GLP-1 agonists were associated with a lower risk of dementia compared to sulfonylureas and DPP-4 inhibitors in older individuals with T2DM. Further clinical trials are needed to validate these findings. Funding Swedish Research Council, Karolinska Institutet, the National Institute on Aging, the National Institutes of Health, and Riksbankens Jubileumsfond.
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Affiliation(s)
- Bowen Tang
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Arvid Sjölander
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Jonas W. Wastesson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Géric Maura
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Pierre-Olivier Blotiere
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Máté Szilcz
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Jonathan K.L. Mak
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong SAR, China
| | - Chenxi Qin
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Michael Alvarsson
- Division of Endocrinology and Diabetology, Department of Molecular Medicine and Surgery, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Dorota Religa
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet, Stockholm, Sweden
| | - Kristina Johnell
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Sara Hägg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
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23
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Zhang N, Nao J, Zhang S, Dong X. Novel insights into the activating transcription factor 4 in Alzheimer's disease and associated aging-related diseases: Mechanisms and therapeutic implications. Front Neuroendocrinol 2024; 74:101144. [PMID: 38797197 DOI: 10.1016/j.yfrne.2024.101144] [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: 02/05/2024] [Revised: 05/16/2024] [Accepted: 05/22/2024] [Indexed: 05/29/2024]
Abstract
Ageing is inherent to all human beings, most mechanistic explanations of ageing results from the combined effects of various physiological and pathological processes. Additionally, aging pivotally contributes to several chronic diseases. Activating transcription factor 4 (ATF4), a member of the ATF/cAMP response element-binding protein family, has recently emerged as a pivotal player owing to its indispensable role in the pathophysiological processes of Alzheimer's disease and aging-related diseases. Moreover, ATF4 is integral to numerous biological processes. Therefore, this article aims to comprehensively review relevant research on the role of ATF4 in the onset and progression of aging-related diseases, elucidating its potential mechanisms and therapeutic approaches. Our objective is to furnish scientific evidence for the early identification of risk factors in aging-related diseases and pave the way for new research directions for their treatment. By elucidating the signaling pathway network of ATF4 in aging-related diseases, we aspire to gain a profound understanding of the molecular and cellular mechanisms, offering novel strategies for addressing aging and developing related therapeutics.
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Affiliation(s)
- Nan Zhang
- Department of Neurology, the Seventh Clinical College of China Medical University, No. 24 Central Street, Xinfu District, Fushun 113000, Liaoning, China.
| | - Jianfei Nao
- Department of Neurology, Shengjing Hospital of China Medical University, No. 36 Sanhao Street, Heping District, Shenyang 110000, Liaoning, China.
| | - Shun Zhang
- Department of Neurology, Shengjing Hospital of China Medical University, No. 36 Sanhao Street, Heping District, Shenyang 110000, Liaoning, China.
| | - Xiaoyu Dong
- Department of Neurology, Shengjing Hospital of China Medical University, No. 36 Sanhao Street, Heping District, Shenyang 110000, Liaoning, China.
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Lemche E, Killick R, Mitchell J, Caton PW, Choudhary P, Howard JK. Molecular mechanisms linking type 2 diabetes mellitus and late-onset Alzheimer's disease: A systematic review and qualitative meta-analysis. Neurobiol Dis 2024; 196:106485. [PMID: 38643861 DOI: 10.1016/j.nbd.2024.106485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 03/18/2024] [Accepted: 03/23/2024] [Indexed: 04/23/2024] Open
Abstract
Research evidence indicating common metabolic mechanisms through which type 2 diabetes mellitus (T2DM) increases risk of late-onset Alzheimer's dementia (LOAD) has accumulated over recent decades. The aim of this systematic review is to provide a comprehensive review of common mechanisms, which have hitherto been discussed in separate perspectives, and to assemble and evaluate candidate loci and epigenetic modifications contributing to polygenic risk linkages between T2DM and LOAD. For the systematic review on pathophysiological mechanisms, both human and animal studies up to December 2023 are included. For the qualitative meta-analysis of genomic bases, human association studies were examined; for epigenetic mechanisms, data from human studies and animal models were accepted. Papers describing pathophysiological studies were identified in databases, and further literature gathered from cited work. For genomic and epigenomic studies, literature mining was conducted by formalised search codes using Boolean operators in search engines, and augmented by GeneRif citations in Entrez Gene, and other sources (WikiGenes, etc.). For the systematic review of pathophysiological mechanisms, 923 publications were evaluated, and 138 gene loci extracted for testing candidate risk linkages. 3 57 publications were evaluated for genomic association and descriptions of epigenomic modifications. Overall accumulated results highlight insulin signalling, inflammation and inflammasome pathways, proteolysis, gluconeogenesis and glycolysis, glycosylation, lipoprotein metabolism and oxidation, cell cycle regulation or survival, autophagic-lysosomal pathways, and energy. Documented findings suggest interplay between brain insulin resistance, neuroinflammation, insult compensatory mechanisms, and peripheral metabolic dysregulation in T2DM and LOAD linkage. The results allow for more streamlined longitudinal studies of T2DM-LOAD risk linkages.
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Affiliation(s)
- Erwin Lemche
- Section of Cognitive Neuropsychiatry and Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, United Kingdom.
| | - Richard Killick
- Section of Old Age Psychiatry, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, United Kingdom
| | - Jackie Mitchell
- Department of Basic and Clinical Neurosciences, Maurice Wohl CIinical Neurosciences Institute, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 125 Coldharbour Lane, London SE5 9NU, United Kingdom
| | - Paul W Caton
- Diabetes Research Group, School of Life Course Sciences, King's College London, Hodgkin Building, Guy's Campus, London SE1 1UL, United Kingdom
| | - Pratik Choudhary
- Diabetes Research Group, Weston Education Centre, King's College London, 10 Cutcombe Road, London SE5 9RJ, United Kingdom
| | - Jane K Howard
- School of Cardiovascular and Metabolic Medicine & Sciences, Hodgkin Building, Guy's Campus, King's College London, Great Maze Pond, London SE1 1UL, United Kingdom
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25
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Cui W, Lv C, Geng P, Fu M, Zhou W, Xiong M, Li T. Novel targets and therapies of metformin in dementia: old drug, new insights. Front Pharmacol 2024; 15:1415740. [PMID: 38881878 PMCID: PMC11176471 DOI: 10.3389/fphar.2024.1415740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Accepted: 05/16/2024] [Indexed: 06/18/2024] Open
Abstract
Dementia is a devastating disorder characterized by progressive and persistent cognitive decline, imposing a heavy public health burden on the individual and society. Despite numerous efforts by researchers in the field of dementia, pharmacological treatments are limited to relieving symptoms and fail to prevent disease progression. Therefore, studies exploring novel therapeutics or repurposing classical drugs indicated for other diseases are urgently needed. Metformin, a first-line antihyperglycemic drug used to treat type 2 diabetes, has been shown to be beneficial in neurodegenerative diseases including dementia. This review discusses and evaluates the neuroprotective role of metformin in dementia, from the perspective of basic and clinical studies. Mechanistically, metformin has been shown to improve insulin resistance, reduce neuronal apoptosis, and decrease oxidative stress and neuroinflammation in the brain. Collectively, the current data presented here support the future potential of metformin as a potential therapeutic strategy for dementia. This study also inspires a new field for future translational studies and clinical research to discover novel therapeutic targets for dementia.
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Affiliation(s)
- Wenxing Cui
- College of Life Sciences, Northwest University, Xi'an, China
- Department of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
| | - Chen Lv
- Hangzhou Simo Co., Ltd., Hangzhou, China
| | - Panling Geng
- College of Life Sciences, Northwest University, Xi'an, China
| | - Mingdi Fu
- College of Life Sciences, Northwest University, Xi'an, China
| | - Wenjing Zhou
- College of Life Sciences, Northwest University, Xi'an, China
| | - Mingxiang Xiong
- College of Life Sciences, Northwest University, Xi'an, China
| | - Tian Li
- School of Basic Medicine, Fourth Military Medical University, Xi'an, China
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Cao F, Yang F, Li J, Guo W, Zhang C, Gao F, Sun X, Zhou Y, Zhang W. The relationship between diabetes and the dementia risk: a meta-analysis. Diabetol Metab Syndr 2024; 16:101. [PMID: 38745237 PMCID: PMC11092065 DOI: 10.1186/s13098-024-01346-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 05/04/2024] [Indexed: 05/16/2024] Open
Abstract
BACKGROUND The link between diabetes and dementia risk is not well understood. This study evaluates the factors linking diabetes to dementia onset, providing guidance for preventing dementia in diabetic patients. METHODS This analysis utilized databases such as PubMed, Embase, Web of Science, and the Cochrane Library to review literature from January 31, 2012, to March 5, 2023. Articles were rigorously assessed using specific inclusion and exclusion criteria. The Newcastle-Ottawa Scale (NOS) was used to evaluate the quality of the studies. Data analysis was performed with STATA 15.0. RESULTS The study analyzed 15 articles, covering 10,103,868 patients, with 8,821,516 diagnosed with diabetes. The meta-analysis reveals a substantial association between diabetes and an increased risk of dementia [RR: 1.59, 95%CI (1.40-1.80), P < 0.01, I²=96.4%]. A diabetes duration of less than five years is linked to a higher dementia risk [RR: 1.29, 95%CI (1.20-1.39), P < 0.01, I²=92.6%]. Additionally, hypoglycemia significantly raises dementia risk [RR: 1.56, 95%CI (1.13-2.16), P < 0.01, I²=51.5%]. Analyses of blood sugar control, glycated hemoglobin, and fasting blood sugar indicated no significant effects on the onset of dementia. CONCLUSION Diabetes notably increases dementia risk, particularly where diabetes duration is under five years or hypoglycemia is present. REGISTRATION The research protocol was registered with PROSPERO and assigned the registration number CRD42023394942.
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Affiliation(s)
- Fang Cao
- School of Basic Medical Sciences, Changchun University of Chinese Medicine, Changchun, 130117, China
| | - Fushuang Yang
- College of Chinese Medicine, Changchun University of Chinese Medicine, Changchun, 130117, China
| | - Jian Li
- College of Chinese Medicine, Changchun University of Chinese Medicine, Changchun, 130117, China
| | - Wei Guo
- College of Chinese Medicine, Changchun University of Chinese Medicine, Changchun, 130117, China
| | - Chongheng Zhang
- College of Chinese Medicine, Changchun University of Chinese Medicine, Changchun, 130117, China
| | - Fa Gao
- College of Chinese Medicine, Changchun University of Chinese Medicine, Changchun, 130117, China
| | - Xinxin Sun
- Department of Nutrition, Chinese People's Armed Police Force Medical Characteristic Center, Tianjin, 300162, China
| | - Yi Zhou
- Department of Geriatrics, Baotou Mengshi Hospital of Traditional Chinese Medicine, Baotou, 014000, China
| | - Wenfeng Zhang
- School of Basic Medical Sciences, Changchun University of Chinese Medicine, Changchun, 130117, China.
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Hou KC, Chen YC, Chen TF, Sun Y, Wen LL, Yip PK, Chu YM, Chiou JM, Chen JH. Coffee and tea consumption and dementia risk: The role of sex and vascular comorbidities. J Formos Med Assoc 2024:S0929-6646(24)00218-3. [PMID: 38714417 DOI: 10.1016/j.jfma.2024.04.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 04/04/2024] [Accepted: 04/28/2024] [Indexed: 05/09/2024] Open
Abstract
BACKGROUND Coffee and tea consumption has been linked to dementia. However, it remained unknown how sex and vascular risk factors modify the association. We aimed to investigate the association of coffee and tea consumption with dementia and whether sex and vascular comorbidities modified the association. METHODS We included 278 elderly patients with Alzheimer's disease (AD) and 102 patients with vascular dementia (VaD) from three hospitals; controls (N = 468) were recruited during the same period. We collected the frequency and amount of coffee and tea consumption and the presence of vascular comorbidities. The multinomial logistic regression model was utilized to evaluate the association of coffee and tea consumption with dementia, stratified by sex and vascular comorbidities. RESULTS Different combinations and quantities of coffee and tea consumption protected against AD and VaD. Consumption of ≥3 cups of coffee or tea per day was protective against AD [adjusted odds ratio (aOR) = 0.42; 95% confidence interval (CI) = 0.22-0.78)] and VaD (aOR = 0.42; 95% CI = 0.19-0.94). Stratified analyses showed that the protective effects of a higher quantity of coffee and tea against AD were more pronounced among females and individuals with hypertension. Consumption of either coffee or tea was associated with a decreased risk of VaD among diabetic participants (aOR = 0.23; 95% CI = 0.06-0.98). Hyperlipidemia modified the association of coffee or tea consumption on the risk of AD and VaD (both Pinteraction < 0.01). CONCLUSION The risk of AD and VaD was lower with increased consumption of coffee and tea; the impact differed by sex and vascular comorbidities including hypertension, hyperlipidemia, and diabetes.
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Affiliation(s)
- Kuan-Chu Hou
- Department of Medicine, National Taiwan University, Taipei, Taiwan.
| | - Yen-Ching Chen
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan; Department of Public Health, College of Public Health, National Taiwan University, Taipei, Taiwan.
| | - Ta-Fu Chen
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan.
| | - Yu Sun
- Department of Neurology, En Chu Kong Hospital, Taipei, Taiwan.
| | - Li-Li Wen
- Department of Laboratory Medicine, En Chu Kong Hospital, Taipei, Taiwan.
| | - Ping-Keung Yip
- Center of Neurological Medicine, Cardinal Tien Hospital, Taipei, Taiwan; School of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan.
| | - Yi-Min Chu
- Department of Laboratory Medicine, Cardinal Tien Hospital, Taipei, Taiwan.
| | - Jeng-Min Chiou
- Institute of Statistical Science, Academia Sinica, Taipei, Taiwan.
| | - Jen-Hau Chen
- Department of Geriatrics and Gerontology, National Taiwan University Hospital, Taipei, Taiwan; Department of Internal Medicine, College of Medicine, National Taiwan University, Taiwan.
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Imboden M. Maintaining Brain Health: An Imperative for Successful Aging and Business Performance. Am J Health Promot 2024; 38:576-580. [PMID: 38553419 DOI: 10.1177/08901171241232042a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/02/2024]
Affiliation(s)
- Mary Imboden
- Center for Cardiovascular Analytics, Research and Data Science, Providence Heart Institute, Providence Saint Joseph Health, Portland, Oregon, USA
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Guo X, Lei M, Ma G, Ouyang C, Yang X, Liu C, Chen Q, Liu X. Schisandrin A Alleviates Spatial Learning and Memory Impairment in Diabetic Rats by Inhibiting Inflammatory Response and Through Modulation of the PI3K/AKT Pathway. Mol Neurobiol 2024; 61:2514-2529. [PMID: 37910285 DOI: 10.1007/s12035-023-03725-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 10/19/2023] [Indexed: 11/03/2023]
Abstract
Clinical and epidemiological research shows that people with diabetes mellitus frequently experience diabetic cognitive impairment. Schisandrin A (SchA), one of the lignans found in the dried fruit of Schisandra chinensis, has a variety of pharmacological effects on immune system control, apoptosis suppression, anti-oxidation and anti-inflammation. The goal of the current investigation was to clarify the probable neuro-protective effects of SchA against streptozotocin-induced diabetes deficiencies of the spatial learning and memory in rats. The outcomes show that SchA therapy effectively improved impaired glucose tolerance, fasting blood glucose level and serum insulin level in diabetic rats. Additionally, in the Morris water maze test, diabetic rats showed deficits in spatial learning and memory that were ameliorated by SchA treatment. Moreover, giving diabetic rats SchA reduced damage to the hippocampus structure and increased the production of synaptic proteins. Further research revealed that SchA therapy reduced diabetic-induced hippocampus neuron damage and the generation of Aβ, as demonstrated by the upregulated phosphorylation levels of insulin signaling pathway connected proteins and by the decreased expression levels of inflammatory-related factors. Collectively, these results suggested that SchA could improve diabetes-related impairments in spatial learning and memory, presumably by reducing inflammatory responses and regulating the insulin signaling system.
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Affiliation(s)
- Xiying Guo
- Hubei Key Laboratory of Diabetes and Angiopathy, Medical Research Institute, Xianning Medical College, Hubei University of Science and Technology, Xianning, 437100, People's Republic of China
| | - Min Lei
- Hubei Key Laboratory of Diabetes and Angiopathy, Medical Research Institute, Xianning Medical College, Hubei University of Science and Technology, Xianning, 437100, People's Republic of China
| | - Guandi Ma
- Hubei Key Laboratory of Diabetes and Angiopathy, Medical Research Institute, Xianning Medical College, Hubei University of Science and Technology, Xianning, 437100, People's Republic of China
- School of Pharmacy, Xianning Medical College, Hubei University of Science and Technology, Xianning, 437100, People's Republic of China
| | - Changhan Ouyang
- School of Pharmacy, Xianning Medical College, Hubei University of Science and Technology, Xianning, 437100, People's Republic of China
| | - Xiaosong Yang
- Hubei Key Laboratory of Diabetes and Angiopathy, Medical Research Institute, Xianning Medical College, Hubei University of Science and Technology, Xianning, 437100, People's Republic of China
| | - Chao Liu
- School of Pharmacy, Xianning Medical College, Hubei University of Science and Technology, Xianning, 437100, People's Republic of China.
| | - Qingjie Chen
- Hubei Key Laboratory of Diabetes and Angiopathy, Medical Research Institute, Xianning Medical College, Hubei University of Science and Technology, Xianning, 437100, People's Republic of China.
| | - Xiufen Liu
- Hubei Key Laboratory of Diabetes and Angiopathy, Medical Research Institute, Xianning Medical College, Hubei University of Science and Technology, Xianning, 437100, People's Republic of China.
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2024 Alzheimer's disease facts and figures. Alzheimers Dement 2024; 20:3708-3821. [PMID: 38689398 PMCID: PMC11095490 DOI: 10.1002/alz.13809] [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: 05/02/2024]
Abstract
This article describes the public health impact of Alzheimer's disease (AD), including prevalence and incidence, mortality and morbidity, use and costs of care and the ramifications of AD for family caregivers, the dementia workforce and society. The Special Report discusses the larger health care system for older adults with cognitive issues, focusing on the role of caregivers and non-physician health care professionals. An estimated 6.9 million Americans age 65 and older are living with Alzheimer's dementia today. This number could grow to 13.8 million by 2060, barring the development of medical breakthroughs to prevent or cure AD. Official AD death certificates recorded 119,399 deaths from AD in 2021. In 2020 and 2021, when COVID-19 entered the ranks of the top ten causes of death, Alzheimer's was the seventh-leading cause of death in the United States. Official counts for more recent years are still being compiled. Alzheimer's remains the fifth-leading cause of death among Americans age 65 and older. Between 2000 and 2021, deaths from stroke, heart disease and HIV decreased, whereas reported deaths from AD increased more than 140%. More than 11 million family members and other unpaid caregivers provided an estimated 18.4 billion hours of care to people with Alzheimer's or other dementias in 2023. These figures reflect a decline in the number of caregivers compared with a decade earlier, as well as an increase in the amount of care provided by each remaining caregiver. Unpaid dementia caregiving was valued at $346.6 billion in 2023. Its costs, however, extend to unpaid caregivers' increased risk for emotional distress and negative mental and physical health outcomes. Members of the paid health care and broader community-based workforce are involved in diagnosing, treating and caring for people with dementia. However, the United States faces growing shortages across different segments of the dementia care workforce due to a combination of factors, including the absolute increase in the number of people living with dementia. Therefore, targeted programs and care delivery models will be needed to attract, better train and effectively deploy health care and community-based workers to provide dementia care. Average per-person Medicare payments for services to beneficiaries age 65 and older with AD or other dementias are almost three times as great as payments for beneficiaries without these conditions, and Medicaid payments are more than 22 times as great. Total payments in 2024 for health care, long-term care and hospice services for people age 65 and older with dementia are estimated to be $360 billion. The Special Report investigates how caregivers of older adults with cognitive issues interact with the health care system and examines the role non-physician health care professionals play in facilitating clinical care and access to community-based services and supports. It includes surveys of caregivers and health care workers, focusing on their experiences, challenges, awareness and perceptions of dementia care navigation.
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Imboden M. Maintaining Brain Health: An Imperative for Successful Aging and Business Performance. Am J Health Promot 2024; 38:576-589. [PMID: 38553416 DOI: 10.1177/08901171241232042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/02/2024]
Affiliation(s)
- Mary Imboden
- Center for Cardiovascular Analytics, Research and Data Science, Providence Heart Institute, Providence Saint Joseph Health, Portland, Oregon, USA
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32
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Brown CS, Ning X, Money A, Alford M, Pan Y, Miller M, Lohman M. Trends in cause-specific mortality among persons with Alzheimer's disease in South Carolina: 2014 to 2019. Front Aging Neurosci 2024; 16:1387082. [PMID: 38694259 PMCID: PMC11061437 DOI: 10.3389/fnagi.2024.1387082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 04/05/2024] [Indexed: 05/04/2024] Open
Abstract
Introduction Inconsistencies of reports contributes to the underreporting of Alzheimer's disease (AD) on death certificates. Whether underreporting exists within South Carolina has not been studied. Methods We conducted a prospective, population-based study on a cohort of persons (N = 78,534) previously diagnosed with AD and died between 2014-2019. We linked vital records with the South Carolina Alzheimer's Disease and Related Dementias Registry to investigate their cause of death and survival rates. Descriptive analyses calculated frequencies of demographic and health-related characteristics. Turnbull's method estimated the survival probabilities for different subgroups of patients. Hazard ratios were computed from the Cox proportional hazards model, adjusting for the following confounding variables of age at diagnosis, education level, gender, and race. Results The top immediate cause of death was Alzheimer's disease among all racial groups, except for Native American/American Indian. More females (60.3%) were affected by AD compared to males (39.7%). There is a 25% probability of survival, beyond 5 years, after AD diagnosis. Black/African American AD patients have the smallest risk of all-cause mortality across all racial/ethnic groups (HR 0.87; 95% CI, 0.85-0.89). Individuals with lower education had a lower likelihood of mortality. Conclusion Although AD was not underreported in the state of South Carolina further research is needed to develop protocols around classification of deaths among those diagnosed with dementia and comorbidities, including cardiovascular disease, to ensure dementia is properly reported as we move to prevent and treat Alzheimer's disease by 2025 and beyond.
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Affiliation(s)
- Candace S. Brown
- Department of Public Health Sciences, University of North Carolina, Charlotte, Charlotte, NC, United States
| | - Xi Ning
- Department of Statistics, Colby College, Waterville, ME, United States
| | - Amy Money
- Department of Public Health Sciences, University of North Carolina, Charlotte, Charlotte, NC, United States
| | - Mauriah Alford
- Department of Health and Human Services, University of North Carolina at Wilmington, Wilmington, Wilmington, NC, United States
| | - Yinghao Pan
- Department of Mathematics and Statistics, University of North Carolina, Charlotte, Charlotte, NC, United States
| | - Margaret Miller
- Arnold School of Public Health, University of South Carolina, Columbia, SC, United States
| | - Matthew Lohman
- Arnold School of Public Health, University of South Carolina, Columbia, SC, United States
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Arvanitakis Z, Capuano AW, Tong H, Mehta RI, Anokye-Danso F, Bennett DA, Arnold SE, Ahima RS. Associations of Serum Insulin and Related Measures With Neuropathology and Cognition in Older Persons With and Without Diabetes. Ann Neurol 2024; 95:665-676. [PMID: 38379184 PMCID: PMC11023784 DOI: 10.1002/ana.26882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 12/23/2023] [Accepted: 01/26/2024] [Indexed: 02/22/2024]
Abstract
OBJECTIVE To examine associations of serum insulin and related measures with neuropathology and cognition in older persons. METHODS We studied 192 older persons (96 with diabetes and 96 without, matched by sex and balanced by age-at-death, education, and postmortem interval) from a community-based, clinical-pathologic study of aging, with annual evaluations including neuropsychological testing (summarized into global cognition and 5 cognitive domains) and postmortem autopsy. We assessed serum insulin, glucose, leptin, adiponectin, hemoglobin A1C, advanced glycation-end products (AGEs), and receptors for advanced glycation-end products, and calculated the Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) and adiponectin-to-leptin ratio. Using adjusted regression analyses, we examined the associations of serum measures with neuropathology of cerebrovascular disease and Alzheimer's disease, and with the level of cognition proximate-to-death. RESULTS Higher HOMA-IR was associated with the presence of brain infarcts and specifically microinfarcts, and higher HOMA-IR and leptin were each associated with subcortical infarcts. Further, higher leptin levels and lower adiponectin-to-leptin ratios were associated with the presence of moderate-to-severe atherosclerosis. Serum insulin and related measures were not associated with the level of Alzheimer's disease pathology, as assessed by global, as well as amyloid burden or tau tangle density scores. Regarding cognitive outcomes, higher insulin and leptin levels, and lower adiponectin and receptors for advanced glycation-end products levels, respectively, were each associated with lower levels of global cognition. INTERPRETATION Peripheral insulin resistance indicated by HOMA-IR and related serum measures was associated with a greater burden of cerebrovascular neuropathology and lower cognition. ANN NEUROL 2024;95:665-676.
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Affiliation(s)
- Zoe Arvanitakis
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL
| | - Ana W Capuano
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL
| | - Han Tong
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL
| | - Rupal I Mehta
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL
| | - Frederick Anokye-Danso
- Department of Medicine, Division of Endocrinology, Diabetes, and Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL
| | - Steven E Arnold
- Alzheimer's Clinical and Translational Research Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Rexford S Ahima
- Department of Medicine, Division of Endocrinology, Diabetes, and Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD
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Behnoush AH, Mousavi A, Ghondaghsaz E, Shojaei S, Cannavo A, Khalaji A. The importance of assessing the triglyceride-glucose index (TyG) in patients with depression: A systematic review. Neurosci Biobehav Rev 2024; 159:105582. [PMID: 38360331 DOI: 10.1016/j.neubiorev.2024.105582] [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: 11/30/2023] [Revised: 02/08/2024] [Accepted: 02/10/2024] [Indexed: 02/17/2024]
Abstract
Insulin resistance (IR) has been proposed as a potential risk factor for depression, a major common disorder affecting a significant proportion of adults worldwide. Based on this premise, this study systematically investigated all the studies examining the triglyceride-glucose (TyG) index, a surrogate marker of IR, in patients with depression or suicidal ideas/attempts. Four online databases (PubMed, Scopus, Embase, and Web of Science) were comprehensively searched. After screening, seven studies were included, comprised of 58,981 participants and 46.4% male. While there were some discrepancies among the reports of studies, most of the included studies reported higher levels of TyG index in patients with depression. Moreover, in most cases, a 1-unit increase in the TyG index was associated with significantly higher odds of depression. At last, higher TyG levels were associated with suicidal ideation and attempts. Therefore, this study emphasizes the critical need to further research in this regard and possibly integrate the TyG index measure with routine depression screening to avoid fatal events in the future.
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Affiliation(s)
| | - Asma Mousavi
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Elina Ghondaghsaz
- Undergraduate Program in Neuroscience, University of British Columbia, Vancouver, BC, Canada
| | - Shayan Shojaei
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Alessandro Cannavo
- Department of Translational Medical Sciences, Federico II University of Naples, Italy
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Morgan AE, Mc Auley MT. Vascular dementia: From pathobiology to emerging perspectives. Ageing Res Rev 2024; 96:102278. [PMID: 38513772 DOI: 10.1016/j.arr.2024.102278] [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: 01/26/2024] [Revised: 03/16/2024] [Accepted: 03/17/2024] [Indexed: 03/23/2024]
Abstract
Vascular dementia (VaD) is the second most common type of dementia. VaD is synonymous with ageing, and its symptoms place a significant burden on the health and wellbeing of older people. Despite the identification of a substantial number of risk factors for VaD, the pathological mechanisms underpinning this disease remain to be fully elucidated. Consequently, a biogerontological imperative exists to highlight the modifiable lifestyle factors which can mitigate against the risk of developing VaD. This review will critically examine some of the factors which have been revealed to modulate VaD risk. The survey commences by providing an overview of the putative mechanisms which are associated with the pathobiology of VaD. Next, the factors which influence the risk of developing VaD are examined. Finally, emerging treatment avenues including epigenetics, the gut microbiome, and pro-longevity pharmaceuticals are discussed. By drawing this key evidence together, it is our hope that it can be used to inform future experimental investigations in this field.
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Affiliation(s)
- Amy Elizabeth Morgan
- School of Health and Sports Sciences, Hope Park, Liverpool Hope University, Liverpool L16 9JD, United Kingdom.
| | - Mark Tomás Mc Auley
- School of Science, Engineering and Environment, University of Salford Manchester, Salford M5 4NT, United Kingdom
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Jung HH. Glycemic control and dementia risk in patients aged above and below 75 years. Diabetol Int 2024; 15:244-252. [PMID: 38524931 PMCID: PMC10959882 DOI: 10.1007/s13340-023-00684-4] [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: 08/29/2023] [Accepted: 11/30/2023] [Indexed: 03/26/2024]
Abstract
Background There is a lack of data about the treatment effect of glycemic control on incident dementia in patients with advanced age. Methods In a nationwide Korean cohort of 79,076 diabetic patients 75 years or older and a representative cohort of 74,672 diabetics aged 50 to 74 years, multivariable-adjusted incidence of overt dementia was estimated across yearly-averaged on-treatment fasting blood glucose (FBG) levels. Results During 9-year follow-up, overt dementia was noted in 24,710 (31.2%) patients 75 years or older and in 5237 (7.0%) patients aged 50 to 74 years. For dementia risk, J-shaped associations were observed across on-treatment FBG levels (80-99, 100-109, 110-125, 126-139, 140-159, 160-179, and 180-900 mg/dl) in patients 75 years or older (respective incidence: 49.3, 45.7, 45.9, 45.7, 48.5, 51.5, and 57.9 per 1000 person-years) and in those aged 50 to 74 years (respective incidence: 8.9, 8.3, 7.7, 7.6, 8.0, 8.6, and 10.6 per 1000 person-years) with a significant interaction of FBG level and age group (P = 0.001). For all-cause mortality, the J-shaped association curve was left-shifted in patients 75 years or older (respective incidence: 64.9, 59.1, 57.6, 60.4, 64.0, 70.9, and 90.4 per 1000 person-years) relative to that in patients aged 50 to 74 years (respective incidence: 15.7, 13.4, 12.3, 12.2, 13.4, 15.7, and 21.8 per 1000 person-years; P < 0.001 for interaction). Conclusion The achieved glycemic level with the lowest risk for dementia and mortality was lower in older patients, and absolute risk increase related to poorly controlled glucose was greater in the elderly compared with younger patients. Supplementary Information The online version contains supplementary material available at 10.1007/s13340-023-00684-4.
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Affiliation(s)
- Hae Hyuk Jung
- Department of Medicine, Kangwon National University School of Medicine, Kangwondaehakgil, Chuncheon, Gangwon-Do 24341 South Korea
- Department of Medicine, Kangwon National University Hospital, 156 Baekryung-ro, Chuncheon, Gangwon-do 24289 South Korea
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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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Sun M, Chen WM, Wu SY, Zhang J. Protective Effects Against Dementia Undergo Different Statin Type, Intensity, and Cumulative Dose in Older Adult Type 2 Diabetes Mellitus Patients. J Am Med Dir Assoc 2024; 25:470-479.e1. [PMID: 38128583 DOI: 10.1016/j.jamda.2023.11.010] [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: 07/12/2023] [Revised: 11/05/2023] [Accepted: 11/08/2023] [Indexed: 12/23/2023]
Abstract
OBJECTIVES This study investigated the relationship between statin use and dementia risk in older adults with type 2 diabetes (T2DM). It also assessed the impact of various statin types, dosage intensity, and cumulative doses on dementia risk. DESIGN Employing the inverse probability of treatment weighting (IPTW) Cox hazards model, this research explored the influence of statin utilization on dementia incidence. SETTING AND PARTICIPANTS The study included older adult T2DM patients aged 60 years or older who received statins (case group) and those who did not (control group) during the follow-up period. METHODS The IPTW Cox hazards model quantified the association between statin use and dementia incidence. Subgroup analyses investigated different statin types, usage intensity, and cumulative dose-dependent relationships with dementia risk, measured by adjusted hazard ratios (aHRs) with corresponding 95% CIs. RESULTS Statin users experienced a significant reduction in dementia risk (aHR: 0.47, 95% CI: 0.46-0.48). Subgroup analysis using IPTW Cox regression revealed varying dementia incidence reductions among users of different statin types, with aHRs (95% CIs) ranging from 0.09 to 0.69. Multivariate analyses unveiled a dose-dependent relationship, showing reduced dementia incidence based on cumulative defined daily doses (cDDDs) per year. The corresponding aHRs (95% CIs) were 0.20 to 0.72 across quartiles 4 to 1 of cDDD-years, with a significant trend (P < .001). The optimal daily statin use was 0.88 defined daily doses (DDDs), associated with the lowest dementia risk. CONCLUSIONS AND IMPLICATIONS Statins significantly reduced dementia risk in older adult T2DM patients. Higher cumulative defined daily doses (cDDD-years) were linked to more substantial risk reductions. This research underscores the clinical benefits of statin use in preventing dementia in this population and calls for further investigation into the underlying mechanisms. It also raises the possibility of influencing policy decisions to manage dementia risk in this vulnerable group.
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Affiliation(s)
- Mingyang Sun
- Department of Anesthesiology and Perioperative Medicine, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, Henan, China
| | - Wan-Ming Chen
- Graduate Institute of Business Administration, College of Management, Fu Jen Catholic University, Taipei, Taiwan; Artificial Intelligence Development Center, Fu Jen Catholic University, Taipei, Taiwan
| | - Szu-Yuan Wu
- Graduate Institute of Business Administration, College of Management, Fu Jen Catholic University, Taipei, Taiwan; Artificial Intelligence Development Center, Fu Jen Catholic University, Taipei, Taiwan; Department of Food Nutrition and Health Biotechnology, College of Medical and Health Science, Asia University, Taichung, Taiwan; Big Data Center, Lo-Hsu Medical Foundation, Lotung Poh-Ai Hospital, Yilan, Taiwan; Division of Radiation Oncology, Lo-Hsu Medical Foundation, Lotung Poh-Ai Hospital, Yilan, Taiwan; Department of Healthcare Administration, College of Medical and Health Science, Asia University, Taichung, Taiwan; Cancer Center, Lo-Hsu Medical Foundation, Lotung Poh-Ai Hospital, Yilan, Taiwan; Centers for Regional Anesthesia and Pain Medicine, Taipei Municipal Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan.
| | - Jiaqiang Zhang
- Department of Anesthesiology and Perioperative Medicine, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
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Gunawan PY, Gunawan PA, Hariyanto TI. Risk of Dementia in Patients with Diabetes Using Sodium-Glucose Transporter 2 Inhibitors (SGLT2i): A Systematic Review, Meta-Analysis, and Meta-Regression. Diabetes Ther 2024; 15:663-675. [PMID: 38340279 PMCID: PMC10942948 DOI: 10.1007/s13300-024-01538-1] [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: 11/17/2023] [Accepted: 01/22/2024] [Indexed: 02/12/2024] Open
Abstract
INTRODUCTION Dementia is quite prevalent and among the leading causes of death worldwide. According to earlier research, diabetes may increase the possibility of developing dementia. However, the association between antidiabetic agents and dementia is not yet clear. This investigation examines the association between the use of sodium-glucose transporter 2 inhibitors (SGLT2i) and the risk of dementia in patients with diabetes. METHODS Up to April 18, 2023, four databases-Europe PMC, Medline, Scopus, and Cochrane Library-were searched for relevant literature. We included all studies that examine dementia risk in adults with diabetes who use SGLT2i. Random-effect models were used to compute the outcomes in this investigation, producing pooled odds ratios (OR) with 95% confidence intervals (CI). RESULTS Pooled data from seven observational studies revealed that SGLT2i use was linked to a lower risk of dementia in people with diabetes (OR 0.45, 95% CI 0.34-0.61; p < 0.00001, I2 = 97%). The reduction in the risk of dementia due to SGLT2i's neuroprotective effect was only significantly affected by dyslipidemia (p = 0.0004), but not by sample size (p = 0.2954), study duration (p = 0.0908), age (p = 0.0805), sex (p = 0.5058), hypertension (p = 0.0609), cardiovascular disease (p = 0.1619), or stroke (p = 0.2734). CONCLUSIONS According to this research, taking SGLT2i reduces the incidence of dementia in people with diabetes by having a beneficial neuroprotective impact. Randomized controlled trials (RCTs) are still required in order to verify the findings of our research.
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Affiliation(s)
- Pricilla Yani Gunawan
- Department of Neurology, Faculty of Medicine, Pelita Harapan University, Boulevard Jendral Sudirman Street, Karawaci, Tangerang, 15811, Indonesia.
| | - Paskalis Andrew Gunawan
- Division of Geriatric Medicine, Department of Internal Medicine, Faculty of Medicine, Tarumanegara University, Jakarta, 11440, Indonesia
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Pipatpiboon N, Sripetchwandee J, Koonrungsesomboon N, Bawornthip P, Bressington D. Establishing the feasibility and preliminary efficacy of a health belief model based educational training program on health belief perceptions and dementia-preventive behaviors in people with type 2 diabetes. Nurs Health Sci 2024; 26:e13081. [PMID: 38356012 DOI: 10.1111/nhs.13081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 10/05/2023] [Accepted: 12/18/2023] [Indexed: 02/16/2024]
Abstract
This quasi-experimental study evaluated feasibility and preliminary efficacy of dementia-preventive educational training intervention program based on the health belief model for improving perceived health beliefs and dementia-preventive behaviors among people with type 2 diabetes mellitus. Two community hospitals with 72 eligible participants were chosen from 12 local institutions using simple random sampling method. One hospital (22 patients) was allocated to dementia-preventive educational training intervention, and the other hospital (23 patients) was allocated to control intervention (using simple random sampling). Primary study outcome was feasibility, and secondary outcomes were changes in dementia prevention behaviors and health belief perceptions. Recruitment rate was 62.5% (45/72) and 22 patients in each group totally completed outcome measures and attended sessions, indicating feasibility of the intervention and study design. There were no significant differences between groups at baseline. After training, participants in the intervention group had significantly higher scores than control group in prevention behaviors and perceptions of health beliefs. The intervention group experienced significant with-group changes in outcomes. Results show that conducting a subsequent fully powered experimental study is feasible, and the intervention has promising efficacy.
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Affiliation(s)
- Noppamas Pipatpiboon
- Department of Public Health, Faculty of Nursing, Chiang Mai University, Chiang Mai, Thailand
| | - Jirapas Sripetchwandee
- Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
- Department of Physiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Nut Koonrungsesomboon
- Department of Pharmacology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Pataporn Bawornthip
- Department of Public Health, Faculty of Nursing, Chiang Mai University, Chiang Mai, Thailand
| | - Daniel Bressington
- Department of Public Health, Faculty of Nursing, Chiang Mai University, Chiang Mai, Thailand
- Faculty of Health, Charles Darwin University, Casuarina, Northern Territory, Australia
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Liu J, Wang Y, Mu W, Liu Y, Tong R, Lu Z, Yuan H, Jia F, Zhang X, Li Z, Yang W, Du X, Zhang X. Association between triglyceride glucose index (TyG) and psychotic symptoms in patients with first-episode drug-naïve major depressive disorder. Front Psychiatry 2024; 15:1342933. [PMID: 38463431 PMCID: PMC10920251 DOI: 10.3389/fpsyt.2024.1342933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 02/13/2024] [Indexed: 03/12/2024] Open
Abstract
Objective Major depressive disorder (MDD) sufferers frequently have psychotic symptoms, yet the underlying triggers remain elusive. Prior research suggests a link between insulin resistance (IR) and increased occurrence of psychotic symptoms. Hence, this study sought to investigate the potential association between psychotic symptoms in Chinese patients experiencing their first-episode drug-naïve (FEDN) MDD and the triglyceride glucose (TyG) index, an alternative measure of insulin resistance (IR). Methods Between September 2016 and December 2018, 1,718 FEDN MDD patients with an average age of 34.9 ± 12.4 years were recruited for this cross-sectional study at the First Hospital of Shanxi Medical University in China. The study collected clinical and demographic data and included assessments of anxiety, depression, and psychotic symptoms using the 14-item Hamilton Anxiety Rating Scale (HAMA), the 17-item Hamilton Depression Rating Scale (HAMD-17), and the positive subscales of the Positive and Negative Syndrome Scale (PANSS), respectively. Measurements of metabolic parameters, fasting blood glucose (FBG), and thyroid hormones were also gathered. To assess the correlation between the TyG index and the likelihood of psychotic symptoms, the study used multivariable binary logistic regression analysis. Additionally, two-segmented linear regression models were employed to investigate possible threshold effects in case non-linearity relationships were identified. Results Among the patients, 9.95% (171 out of 1,718) exhibited psychotic symptoms. Multivariable logistic regression analysis showed a positive correlation between the TyG index and the likelihood of psychotic symptoms (OR = 2.12, 95% CI: 1.21-3.74, P = 0.01) after adjusting for confounding variables. Moreover, smoothed plots revealed a nonlinear relationship with the TyG index, revealing an inflection point at 8.42. Interestingly, no significant link was observed to the left of the inflection point (OR = 0.50, 95% CI: 0.04-6.64, P = 0.60), whereas beyond this point, a positive correlation emerged between the TyG index and psychotic symptoms (OR = 2.42, 95% CI: 1.31-4.48, P = 0.01). Particularly, a considerable 142% rise in the probability of experiencing psychotic symptoms was found with each incremental elevation in the TyG index. Conclusions Understanding the non-linear link between the TyG index and the risk of psychotic symptoms in Chinese patients with FEDN MDD highlights the potential for targeted therapeutic approaches. By acknowledging the threshold effect observed, there is an opportunity to mitigate risk factors associated with IR-related psychiatric comorbidities through tailored interventions. These preliminary results stress the need for further longitudinal research to solidify these insights and contribute to more effective therapeutic strategies.
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Affiliation(s)
- Junjun Liu
- Soochow University, Suzhou, China
- Nanjing Meishan Hospital, Nanjing, China
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | | | - Wei Mu
- School of Ethnology and Sociology, Yunnan University, Kunming, China
| | - Yang Liu
- Nanjing Meishan Hospital, Nanjing, China
| | | | - Zhaomin Lu
- Nanjing Meishan Hospital, Nanjing, China
| | | | - Fengnan Jia
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Xiaobin Zhang
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Zhe Li
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Wanqiu Yang
- School of Ethnology and Sociology, Yunnan University, Kunming, China
| | - Xiangdong Du
- Soochow University, Suzhou, China
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Xiangyang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
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Hai Y, Ren K, Zhang Y, Yang L, Cao H, Yuan X, Su L, Li H, Feng X, Liu D. HIF-1α serves as a co-linker between AD and T2DM. Biomed Pharmacother 2024; 171:116158. [PMID: 38242039 DOI: 10.1016/j.biopha.2024.116158] [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: 09/24/2023] [Revised: 12/27/2023] [Accepted: 01/11/2024] [Indexed: 01/21/2024] Open
Abstract
Alzheimer's disease (AD)-related brain deterioration is linked to the type 2 diabetes mellitus (T2DM) features hyperglycemia, hyperinsulinemia, and insulin resistance. Hypoxia as a common risk factor for both AD and T2DM. Hypoxia-inducible factor-1 alpha (HIF-1α) acts as the main regulator of the hypoxia response and may be a key target in the comorbidity of AD and T2DM. HIF-1α expression is closely related to hyperglycemia, insulin resistance, and inflammation. Tissue oxygen consumption disrupts HIF-1α homeostasis, leading to increased reactive oxygen species levels and the inhibition of insulin receptor pathway activity, causing neuroinflammation, insulin resistance, abnormal Aβ deposition, and tau hyperphosphorylation. HIF-1α activation also leads to the deposition of Aβ by promoting the abnormal shearing of amyloid precursor protein and inhibiting the degradation of Aβ, and it promotes tau hyperphosphorylation by activating oxidative stress and the activation of astrocytes, which further exasperates AD. Therefore, we believe that HIF-α has great potential as a target for the treatment of AD. Importantly, the intracellular homeostasis of HIF-1α is a more crucial factor than its expression level.
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Affiliation(s)
- Yang Hai
- Scientific Research and Experimental Center, Gansu University of Chinese Medicine, Lanzhou 730000, Gansu Province, PR China; Key Laboratory of Dunhuang Medicine, Gansu University of Chinese Medicine, Lanzhou 730000, Gansu Province, PR China.
| | - Ke Ren
- School of Pharmacy, Gansu University of Chinese Medicine, Lanzhou 730000, Gansu Province, PR China
| | - Yarong Zhang
- School of Pharmacy, Gansu University of Chinese Medicine, Lanzhou 730000, Gansu Province, PR China
| | - Lili Yang
- School of Pharmacy, Gansu University of Chinese Medicine, Lanzhou 730000, Gansu Province, PR China
| | - Haoshi Cao
- School of Pharmacy, Gansu University of Chinese Medicine, Lanzhou 730000, Gansu Province, PR China
| | - Xianxia Yuan
- School of Pharmacy, Gansu University of Chinese Medicine, Lanzhou 730000, Gansu Province, PR China
| | - Linling Su
- School of Pharmacy, Gansu University of Chinese Medicine, Lanzhou 730000, Gansu Province, PR China
| | - Hailong Li
- The First Clinical Medical College, Gansu University of Chinese Medicine, Lanzhou 730000, Gansu Province, PR China
| | - Xiaoli Feng
- Scientific Research and Experimental Center, Gansu University of Chinese Medicine, Lanzhou 730000, Gansu Province, PR China; Key Laboratory of Dunhuang Medicine, Gansu University of Chinese Medicine, Lanzhou 730000, Gansu Province, PR China
| | - Dongling Liu
- School of Pharmacy, Gansu University of Chinese Medicine, Lanzhou 730000, Gansu Province, PR China; Northwest Collaborative Innovation Center for Traditional Chinese Medicine, Lanzhou 730000, Gansu Province, PR China; Gansu Pharmaceutical Industry Innovation Research Institute, Lanzhou 730000, Gansu Province, PR China.
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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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Tian C, Ye Z, McCoy RG, Pan Y, Bi C, Gao S, Ma Y, Chen M, Yu J, Lu T, Hong LE, Kochunov P, Ma T, Chen S, Liu S. The causal effect of HbA1c on white matter brain aging by two-sample Mendelian randomization analysis. Front Neurosci 2024; 17:1335500. [PMID: 38274506 PMCID: PMC10808780 DOI: 10.3389/fnins.2023.1335500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 12/28/2023] [Indexed: 01/27/2024] Open
Abstract
Background Poor glycemic control with elevated levels of hemoglobin A1c (HbA1c) is associated with increased risk of cognitive impairment, with potentially varying effects between sexes. However, the causal impact of poor glycemic control on white matter brain aging in men and women is uncertain. Methods We used two nonoverlapping data sets from UK Biobank cohort: gene-outcome group (with neuroimaging data, (N = 15,193; males/females: 7,101/8,092)) and gene-exposure group (without neuroimaging data, (N = 279,011; males/females: 122,638/156,373)). HbA1c was considered the exposure and adjusted "brain age gap" (BAG) was calculated on fractional anisotropy (FA) obtained from brain imaging as the outcome, thereby representing the difference between predicted and chronological age. The causal effects of HbA1c on adjusted BAG were studied using the generalized inverse variance weighted (gen-IVW) and other sensitivity analysis methods, including Mendelian randomization (MR)-weighted median, MR-pleiotropy residual sum and outlier, MR-using mixture models, and leave-one-out analysis. Results We found that for every 6.75 mmol/mol increase in HbA1c, there was an increase of 0.49 (95% CI = 0.24, 0.74; p-value = 1.30 × 10-4) years in adjusted BAG. Subgroup analyses by sex and age revealed significant causal effects of HbA1c on adjusted BAG, specifically among men aged 60-73 (p-value = 2.37 × 10-8). Conclusion Poor glycemic control has a significant causal effect on brain aging, and is most pronounced among older men aged 60-73 years, which provides insights between glycemic control and the susceptibility to age-related neurodegenerative diseases.
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Affiliation(s)
- Cheng Tian
- Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, China
- Shandong Engineering Research Center of Big Data Applied Technology, Faculty of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China
- Shandong Provincial Key Laboratory of Computer Networks, Shandong Fundamental Research Center for Computer Science, Jinan, China
| | - Zhenyao Ye
- Maryland Psychiatric Research Center, Department of Psychiatry, School of Medicine, University of Maryland, Baltimore, MD, United States
- Division of Biostatistics and Bioinformatics, Department of Epidemiology and Public Health, School of Medicine, University of Maryland, Baltimore, MD, United States
| | - Rozalina G. McCoy
- Division of Endocrinology, Diabetes, & Nutrition, Department of Medicine, School of Medicine, University of Maryland, Baltimore, MD, United States
- University of Maryland Institute for Health Computing, Bethesda, MD, United States
| | - Yezhi Pan
- Division of Biostatistics and Bioinformatics, Department of Epidemiology and Public Health, School of Medicine, University of Maryland, Baltimore, MD, United States
| | - Chuan Bi
- Division of Biostatistics and Bioinformatics, Department of Epidemiology and Public Health, School of Medicine, University of Maryland, Baltimore, MD, United States
| | - Si Gao
- Division of Biostatistics and Bioinformatics, Department of Epidemiology and Public Health, School of Medicine, University of Maryland, Baltimore, MD, United States
| | - Yizhou Ma
- Division of Biostatistics and Bioinformatics, Department of Epidemiology and Public Health, School of Medicine, University of Maryland, Baltimore, MD, United States
| | - Mo Chen
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Jiaao Yu
- Department of Mathematics, University of Maryland, College Park, MD, United States
| | - Tong Lu
- Department of Mathematics, University of Maryland, College Park, MD, United States
| | - L. Elliot Hong
- Maryland Psychiatric Research Center, Department of Psychiatry, School of Medicine, University of Maryland, Baltimore, MD, United States
| | - Peter Kochunov
- Maryland Psychiatric Research Center, Department of Psychiatry, School of Medicine, University of Maryland, Baltimore, MD, United States
| | - Tianzhou Ma
- Department of Epidemiology and Biostatistics, School of Public Health, University of Maryland, College Park, MD, United States
| | - Shuo Chen
- Maryland Psychiatric Research Center, Department of Psychiatry, School of Medicine, University of Maryland, Baltimore, MD, United States
- Division of Biostatistics and Bioinformatics, Department of Epidemiology and Public Health, School of Medicine, University of Maryland, Baltimore, MD, United States
| | - Song Liu
- Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, China
- Shandong Engineering Research Center of Big Data Applied Technology, Faculty of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China
- Shandong Provincial Key Laboratory of Computer Networks, Shandong Fundamental Research Center for Computer Science, Jinan, China
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Sood A, Capuano AW, Wilson RS, Barnes LL, Kapasi A, Bennett DA, Arvanitakis Z. Metformin, age-related cognitive decline, and brain pathology. Neurobiol Aging 2024; 133:99-106. [PMID: 37931533 PMCID: PMC10841359 DOI: 10.1016/j.neurobiolaging.2023.10.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 10/10/2023] [Accepted: 10/12/2023] [Indexed: 11/08/2023]
Abstract
The objective of this study was to evaluate the relation of metformin with change in cognition and brain pathology. During a mean of 8 years (SD = 5.5) of annual follow-up visits, 262/3029 participants were using metformin at any time during the study. Using a linear-mixed effect model adjusted for age, sex, and education, metformin users had slower decline on a score of global cognition compared to non-users (estimate = 0.017, SE = 0.007, p = 0.027). Analyses of cognitive domains showed a slower decline in episodic memory and semantic memory specifically. In sensitivity analysis, when examining any diabetes medication use vs none, no association was observed of any diabetes medication use with cognitive function. In the autopsy subset of 1584 participants, there was no difference in the level of Alzheimer's disease (AD) pathology or the presence of infarcts (of any size or location) between groups of metformin users vs non-users. However, in additional analyses, metformin users had higher odds of subcortical infarcts, and lower odds of atherosclerosis and arteriosclerosis.
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Affiliation(s)
- Ajay Sood
- Rush Alzheimer's Disease Center, Chicago, IL, USA.
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Chai YH, Han YP, Zhang JY, Zhou JB. Diabetic Retinopathy and Brain Structure, Cognition Function, and Dementia: A Bidirectional Mendelian Randomization Study. J Alzheimers Dis 2024; 97:1211-1221. [PMID: 38217603 DOI: 10.3233/jad-231022] [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: 01/15/2024]
Abstract
BACKGROUND Accumulating evidence has demonstrated that hyperglycemia is a possible risk factor for mild cognitive impairment or Alzheimer's disease. Diabetic retinopathy (DR) has been identified as a risk factor for dementia in patients with diabetes. OBJECTIVE This study aimed to investigate the causal relationships between DR and brain structure, cognitive function, and dementia. METHODS We performed bidirectional two-sample Mendelian randomization for DR, brain structure, cognitive function, and dementia using the inverse-variance weighted method. RESULTS Inverse-variance weighted analysis showed the association of DR with vascular dementia (OR = 1.68, 95% CI: 1.01-2.82), and dementia was significantly associated with the increased risk of non-proliferative DR (NPDR) (OR = 1.76, 95% CI: 1.04-2.98). Furthermore, better cognitive performance was significantly associated with a reduced risk of NPDR (OR = 0.85, 95% CI: 0.74-0.98). No association was observed between DR and brain structure. CONCLUSIONS These findings suggest that the association of DR with vascular dementia. The reciprocal effect of cognitive performance and dementia on NPDR risk highlights the potential benefits of dementia prevention for reducing the burden of DR.
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Affiliation(s)
- Yin-He Chai
- Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Yi-Peng Han
- Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Jin-Yan Zhang
- Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Jian-Bo Zhou
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
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ElSayed NA, Aleppo G, Bannuru RR, Bruemmer D, Collins BS, Cusi K, Ekhlaspour L, Fleming TK, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Napoli N, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Stanton RC, Verduzco-Gutierrez M, Younossi ZM, Gabbay RA. 4. Comprehensive Medical Evaluation and Assessment of Comorbidities: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S52-S76. [PMID: 38078591 PMCID: PMC10725809 DOI: 10.2337/dc24-s004] [Citation(s) in RCA: 26] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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He SY, Su WM, Wen XJ, Lu SJ, Cao B, Yan B, Chen YP. Non-Genetic Risk Factors of Alzheimer's Disease: An Updated Umbrella Review. J Prev Alzheimers Dis 2024; 11:917-927. [PMID: 39044503 PMCID: PMC11266231 DOI: 10.14283/jpad.2024.100] [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: 01/13/2023] [Accepted: 03/09/2024] [Indexed: 07/25/2024]
Abstract
BACKGROUND Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by intricate genetic and environmental etiology. The objective of this study was to identify robust non-genetic risk factors for AD through an updated umbrella review. METHODS We conducted a comprehensive search of meta-analyses and systematic reviews on non-genetic risk factors associated with AD in PubMed, Cochrane, Embase, and Ovid Medline up to June 30, 2023. After collecting data, we estimated the summary effect size and their 95% confidence intervals. The degree of heterogeneity between studies was assessed using I2 statistics and a 95% prediction interval was determined. Additionally, we evaluated potential excess significant bias and small study effects within the selected candidate studies. RESULTS The umbrella review encompassed a total of 53 eligible papers, which included 84 meta-analyses covering various factors such as lifestyle, diet, environmental exposures, comorbidity or infections, drugs, and biomarkers. Based on the evidence classification criteria employed in this study, two factors as convincing evidence (Class I), including rheumatoid arthritis (RA), potentially reduced the risk of AD, but diabetes significantly increased the risk of AD. Furthermore, three factors as highly suggestive evidence (Class II), namely depression, high homocysteine, and low folic acid level, potentially increased the risk of AD. CONCLUSION Our findings highlight several risk factors associated with AD that warrant consideration as potential targets for intervention. However, it is crucial to prioritize the identified modifiable risk factors, namely rheumatoid arthritis, diabetes, depression, elevated homocysteine levels, and low folic acid levels to effectively address this complex neurodegenerative disorder.
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Affiliation(s)
- S.-Y. He
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041 China
| | - W.-M. Su
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041 China
| | - X.-J. Wen
- West China School of Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041 China
| | - S.-J. Lu
- Department of Respiratory, The Fourth People’s Hospital of Chengdu, Mental Health Center of Chengdu, Chengdu, Sichuan, 610036 China
| | - B. Cao
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041 China
| | - Bo Yan
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041 China
| | - Yong-Ping Chen
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041 China
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Karaduran K, Aydogdu A, Gelisin O, Gunpinar S. Investigating the potential clinical impact of periodontitis on the progression of Alzheimer's disease: a prospective cohort study. Clin Oral Investig 2023; 28:67. [PMID: 38159159 DOI: 10.1007/s00784-023-05445-w] [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: 09/02/2023] [Accepted: 12/17/2023] [Indexed: 01/03/2024]
Abstract
OBJECTIVES This study aimed to investigate the effect of periodontitis and current occlusal relationship on the progression rate of Alzheimer's disease (AD). METHODS Ninety Alzheimer's patients, who were divided into three groups as Stage I (n=42), Stage II (n=29), and Stage III (n=19), based on the Clinical Dementia Rating Scale, were included in the study. Cognitive status of the patients was evaluated with Standardized Mini-Mental Test (SMMT) at baseline and repeated 6 months later. Clinical periodontal examinations were recorded and occlusal relationship status was classified according to the Eichner Index. RESULTS Of 90 Alzheimer's patients, 65 were toothed individuals with periodontitis and 25 were edentulous individuals without active periodontal disease. Stage II and Stage III toothed Alzheimer's patients had higher percentage of bleeding on probing (BOP%) and clinical attachment level (CAL) values than Stage I patients (p<0.05). Stage III Alzheimer's patients had significantly higher probing pocket depth (PPD) values than Stage I individuals (p<0.05). ΔSMMT values showed positive correlation with BOP% (r=0.308, p=0.013) and PPD (r=0.275, p=0.027). Among the evaluated parameters, being in the AD Stage II-Stage III, having periodontitis and age variable had significant effects on ΔSMMT levels (p<0.05). CONCLUSIONS Within the limits of our study, it can be concluded that periodontitis may increase the severity and also accelerate the progression rate of AD. CLINICAL RELEVANCE These results are precious to show the necessity of proper oral hygiene activities and regular dental visits in patients with toothed AD. CLINICAL TRIAL REGISTRATION This study was registered and approved by clinical trials (NCT05807100).
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Affiliation(s)
- Kubra Karaduran
- Faculty of Dentistry, Department of Periodontology, Bezmialem Vakif University, Istanbul, Turkey.
| | - Ahmet Aydogdu
- Faculty of Dentistry, Department of Periodontology, Istanbul Galata University, Istanbul, Turkey
| | - Ozlem Gelisin
- Department of Neurology, Istanbul Bakirkoy Dr. Sadi Konuk Training and Research Hospital, Istanbul, Turkey
| | - Sadiye Gunpinar
- Faculty of Dentistry, Department of Periodontology, Bezmialem Vakif University, Istanbul, Turkey
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Karska J, Pszczołowska M, Gładka A, Leszek J. Correlations between Dementia and Loneliness. Int J Mol Sci 2023; 25:271. [PMID: 38203442 PMCID: PMC10779072 DOI: 10.3390/ijms25010271] [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: 11/13/2023] [Revised: 12/15/2023] [Accepted: 12/21/2023] [Indexed: 01/12/2024] Open
Abstract
This review describes associations between dementia and loneliness on the neurobiological and epidemiological levels according to the recent body of literature. The aim of this study was to highlight major lines of research in this field. Sociocognitive skills and social interactions present complex interdependencies with dementia which may be explained by two theories. According to the first one, not sufficiently engaging in social or cognitive activities results in brain atrophy. The second one claims that brain neurogenesis and synaptic density are being increased by social connections. The relationship between loneliness and dementia could be mediated by sensory loss, including hearing and visual impairment, as well as depression and psychotic symptoms. Loneliness itself might cause a depletion in sensory and cognitive stimulation which results in a decrease in neural reserve. Certain changes in the structures of the brain caused by loneliness were found in imaging examination. Loneliness appears to be a crucial risk factor for dementia in recent times due to the modern lifestyle and consequences of the outbreak of COVID-19. Additional studies are required to understand more completely the key tenets of this topic and therefore to improve the prevention and treatment of dementia.
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Affiliation(s)
- Julia Karska
- Department of Psychiatry, Wrocław Medical University, Pasteura 10, 50-367 Wrocław, Poland; (J.K.)
| | | | - Anna Gładka
- Department of Psychiatry, Wrocław Medical University, Pasteura 10, 50-367 Wrocław, Poland; (J.K.)
| | - Jerzy Leszek
- Department of Psychiatry, Wrocław Medical University, Pasteura 10, 50-367 Wrocław, Poland; (J.K.)
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