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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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Mei J, Li Y, Niu L, Liang R, Tang M, Cai Q, Xu J, Zhang D, Yin X, Liu X, Shen Y, Liu J, Xu M, Xia P, Ling J, Wu Y, Liang J, Zhang J, Yu P. SGLT2 inhibitors: a novel therapy for cognitive impairment via multifaceted effects on the nervous system. Transl Neurodegener 2024; 13:41. [PMID: 39123214 PMCID: PMC11312905 DOI: 10.1186/s40035-024-00431-y] [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: 03/14/2024] [Accepted: 07/11/2024] [Indexed: 08/12/2024] Open
Abstract
The rising prevalence of diabetes mellitus has casted a spotlight on one of its significant sequelae: cognitive impairment. Sodium-glucose cotransporter-2 (SGLT2) inhibitors, originally developed for diabetes management, are increasingly studied for their cognitive benefits. These benefits may include reduction of oxidative stress and neuroinflammation, decrease of amyloid burdens, enhancement of neuronal plasticity, and improved cerebral glucose utilization. The multifaceted effects and the relatively favorable side-effect profile of SGLT2 inhibitors render them a promising therapeutic candidate for cognitive disorders. Nonetheless, the application of SGLT2 inhibitors for cognitive impairment is not without its limitations, necessitating more comprehensive research to fully determine their therapeutic potential for cognitive treatment. In this review, we discuss the role of SGLT2 in neural function, elucidate the diabetes-cognition nexus, and synthesize current knowledge on the cognitive effects of SGLT2 inhibitors based on animal studies and clinical evidence. Research gaps are proposed to spur further investigation.
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Affiliation(s)
- Jiaqi Mei
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Nanchang University, Nanchang, China
- Huan Kui College of Nanchang University, Nanchang, China
| | - Yi Li
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Nanchang University, Nanchang, China
- Huan Kui College of Nanchang University, Nanchang, China
| | - Liyan Niu
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Nanchang University, Nanchang, China
- Huan Kui College of Nanchang University, Nanchang, China
| | - Ruikai Liang
- The Second Clinical Medical College of Nanchang University, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Mingyue Tang
- Queen Mary College of Nanchang University, Nanchang, China
| | - Qi Cai
- The Second Clinical Medical College of Nanchang University, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Jingdong Xu
- Queen Mary College of Nanchang University, Nanchang, China
| | - Deju Zhang
- Food and Nutritional Sciences, School of Biological Sciences, The University of Hong Kong, Pokfulam Road, Hong Kong, China
| | - Xiaoping Yin
- Department of Neurology, Affiliated Hospital of Jiujiang University, Jiujiang, China
| | - Xiao Liu
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yunfeng Shen
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Jianping Liu
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Minxuan Xu
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Panpan Xia
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Jitao Ling
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yuting Wu
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Jianqi Liang
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Jing Zhang
- Department of Anesthesiology, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
| | - Peng Yu
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
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Can S, Yildirim Usta Y, Yildiz S, Tayfun K. The effect of lavender and rosemary aromatherapy application on cognitive functions, anxiety, and sleep quality in the elderly with diabetes. Explore (NY) 2024; 20:103033. [PMID: 39047346 DOI: 10.1016/j.explore.2024.103033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2024] [Revised: 07/04/2024] [Accepted: 07/07/2024] [Indexed: 07/27/2024]
Abstract
OBJECTIVE This study aimed to determine the effects of aromatherapy use on cognitive function, anxiety, and sleep quality in the elderly with diabetes. METHODS The study was conducted with 63 participants aged 65 and over. Participants were randomly divided into three groups: lavender, rosemary and control groups. The intervention continued for four weeks. Data was collected using the Blessed Orientation Concentration Test, State-Trait Anxiety Scale, and Pittsburgh Sleep Quality Scale. Data were analyzed using One-Way ANOVA, Mann-Whitney U/Kruskal-Wallis, Wilcoxon and Friedman tests. RESULTS In both intervention groups, the 4th week scores of cognitive functions, anxiety, and sleep quality after aromatherapy were significant compared to the baseline scores. In the control group, state anxiety scores were significantly higher in the 2nd and 4th weeks compared to the initial scores. CONCLUSIONS Inhaling lavender and rosemary has been observed to improve cognitive function and sleep quality and reduce anxiety levels. The effects of the essential oils used in the research were evaluated over four weeks. It is thought that studying for a longer period and with more samples would be beneficial. There is a need for studies examining its effects, especially in the elderly with diabetes.
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Affiliation(s)
- Sati Can
- Bolu Abant Izzet Baysal University, Izzet Baysal Training and Research Hospital, Diabetes Education Department, Bolu, Turkey.
| | - Yasemin Yildirim Usta
- Bolu Abant Izzet Baysal University, Faculty of Health Sciences, Nursing Department, Bolu, Turkey
| | - Sedat Yildiz
- Private Physical Therapy and Rehabilitation Clinic, Isparta, Turkey
| | - Kanat Tayfun
- Health Sciences University Istanbul Bagcilar Training and Research Hospital, Istanbul, Turkey
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Zhang W, Yuan Y, Cui X, Chen S, Zhuang X. The level of serum retinol-binding protein is associated with diabetic mild cognitive impairment. Brain Res 2024; 1822:148670. [PMID: 37944571 DOI: 10.1016/j.brainres.2023.148670] [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: 09/12/2023] [Revised: 10/20/2023] [Accepted: 11/06/2023] [Indexed: 11/12/2023]
Abstract
BACKGROUND Several studies have shown that retinol-binding protein (RBP) is linked to diabetes and neurodegenerative diseases. However, no studies have elucidated the relationship between RBP and diabetic cognitive disorders. OBJECTIVE To determine whether the change characteristics of serum RBP are associated with alterations in cognitive functioning in type 2 diabetes mellitus (T2DM). METHODS In this study, 252 patients with T2DM and 34 people as healthy controls were included. According to the Montreal Cognitive Assessment (MoCA), the diabetic subjects were divided into the mild cognitive impairment (MCI) group and the Non-MCI group. Demographic characteristics and clinical indicators as well as serum RBP levels were analyzed. RESULTS The serum RBP levels in the MCI group were lower compared with the Non-MCI group (P = 0.02). The level of RBP was higher in the diabetes without MCI group than in the healthy control (P < 0.001). Serum RBP levels were positively correlated with MoCA scores (r = 0.178, P = 0.003). Binary Logistic regression model analysis showed that low RBP [odds ratio (OR) = 0.936], old age (OR = 1.074), high fasting blood glucose (OR = 1.164), and low fasting C-peptide (OR = 0.722) may be independent risk factors for diabetic MCI. The ROC curve of serum RBP for predicting diabetic MCI showed that the area under the curve was 0.630. CONCLUSIONS Our study revealed an association between serum RBP and diabetic MCI. Serum RBP levels in diabetic MCI are lower and correlated with cognitive function.
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Affiliation(s)
- Wenjie Zhang
- Department of General Practice, The Second Hospital of Shandong University, Jinan 250000, China
| | - Yuqi Yuan
- Department of Clinical Epidemiology and Evidence-based Medicine, The Second Hospital of Shandong University, Jinan 250000, China
| | - Xiaoxia Cui
- The Second Hospital of Shandong University, Jinan 250000, China
| | - Shihong Chen
- Department of Endocrinology, The Second Hospital of Shandong University, Jinan 250000, China.
| | - Xianghua Zhuang
- Department of Endocrinology, The Second Hospital of Shandong University, Jinan 250000, China.
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Yu JH, Kim REY, Park SY, Lee DY, Cho HJ, Kim NH, Yoo HJ, Seo JA, Kim SG, Choi KM, Baik SH, Shin C, Kim NH. Association of long-term hyperglycaemia and insulin resistance with brain atrophy and cognitive decline: A longitudinal cohort study. Diabetes Obes Metab 2023; 25:1091-1100. [PMID: 36564910 DOI: 10.1111/dom.14958] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 12/15/2022] [Accepted: 12/19/2022] [Indexed: 12/25/2022]
Abstract
AIM To investigate the longitudinal changes in brain volume and cognitive function associated with diabetes at midlife, and to examine whether long-term hyperglycaemia, insulin resistance or secretory function is associated with brain atrophy and cognitive decline. MATERIALS AND METHODS We used data from 2377 participants with both baseline and 4-year follow-up brain magnetic resonance images and neuropsychological measures from the Ansan cohort of the Korean Genome Epidemiology Study. Time-weighted mean glycaemic values were calculated using all measurements over an average duration of 10.6 years from cohort initiation to baseline visits. RESULTS Type 2 diabetes was associated with greater white matter volume reduction (adjusted volume difference = -1.96 ml, 95% CI: -3.73, -0.18) and executive function decline (adjusted Z score difference = -0.14, 95% CI: -0.23, -0.05) during the follow-up period of 4.2 years. Decline of verbal and visual memory or verbal fluency was not associated with diabetes. Greater executive function decline was associated with higher time-weighted mean HbA1c level over the preceding 10.6 years (P < .001), but not with insulin resistance markers in the diabetes group. Participants with diabetes, whose time-weighted average HbA1c level was maintained above 6.5% over the previous decade, showed greater decline in executive function and global cognition than the normal glucose group. CONCLUSIONS Long-term hyperglycaemia was a major independent factor associated with rapid cognitive decline in middle-aged adults with diabetes. Maintaining ideal glucose levels in diabetes at midlife might prevent later rapid cognitive decline.
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Affiliation(s)
- Ji Hee Yu
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
| | - Regina E Y Kim
- Institute of Human Genomic Study, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Republic of Korea
- Psychiatry, University of Iowa, Iowa City, Iowa, USA
| | - So Young Park
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
| | - Da Young Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
| | - Hyun Joo Cho
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
| | - Nam Hoon Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
| | - Hye Jin Yoo
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
| | - Ji A Seo
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
| | - Sin Gon Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
| | - Kyung Mook Choi
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
| | - Sei Hyun Baik
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
| | - Chol Shin
- Institute of Human Genomic Study, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Republic of Korea
| | - Nan Hee Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
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Lavikainen P, Chandra G, Siirtola P, Tamminen S, Ihalapathirana AT, Röning J, Laatikainen T, Martikainen J. Data-Driven Identification of Long-Term Glycemia Clusters and Their Individualized Predictors in Finnish Patients with Type 2 Diabetes. Clin Epidemiol 2023; 15:13-29. [PMID: 36636731 PMCID: PMC9829833 DOI: 10.2147/clep.s380828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 12/14/2022] [Indexed: 01/05/2023] Open
Abstract
Purpose To gain an understanding of the heterogeneous group of type 2 diabetes (T2D) patients, we aimed to identify patients with the homogenous long-term HbA1c trajectories and to predict the trajectory membership for each patient using explainable machine learning methods and different clinical-, treatment-, and socio-economic-related predictors. Patients and Methods Electronic health records data covering primary and specialized healthcare on 9631 patients having T2D diagnosis were extracted from the North Karelia region, Finland. Six-year HbA1c trajectories were examined with growth mixture models. Linear discriminant analysis and neural networks were applied to predict the trajectory membership individually. Results Three HbA1c trajectories were distinguished over six years: "stable, adequate" (86.5%), "improving, but inadequate" (7.3%), and "fluctuating, inadequate" (6.2%) glycemic control. Prior glucose levels, duration of T2D, use of insulin only, use of insulin together with some oral antidiabetic medications, and use of only metformin were the most important predictors for the long-term treatment balance. The prediction model had a balanced accuracy of 85% and a receiving operating characteristic area under the curve of 91%, indicating high performance. Moreover, the results based on SHAP (Shapley additive explanations) values show that it is possible to explain the outcomes of machine learning methods at the population and individual levels. Conclusion Heterogeneity in long-term glycemic control can be predicted with confidence by utilizing information from previous HbA1c levels, fasting plasma glucose, duration of T2D, and use of antidiabetic medications. In future, the expected development of HbA1c could be predicted based on the patient's unique risk factors offering a practical tool for clinicians to support treatment planning.
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Affiliation(s)
- Piia Lavikainen
- School of Pharmacy, University of Eastern Finland, Kuopio, Finland,Correspondence: Piia Lavikainen, School of Pharmacy C/O Faculty of Health Sciences, University of Eastern Finland, P.O. Box 1627, Kuopio, FI-70211, Finland, Tel +358 40 7024682, Email
| | - Gunjan Chandra
- Biomimetics and Intelligent Systems Group, Faculty of ITEE, University of Oulu, Oulu, Finland
| | - Pekka Siirtola
- Biomimetics and Intelligent Systems Group, Faculty of ITEE, University of Oulu, Oulu, Finland
| | - Satu Tamminen
- Biomimetics and Intelligent Systems Group, Faculty of ITEE, University of Oulu, Oulu, Finland
| | - Anusha T Ihalapathirana
- Biomimetics and Intelligent Systems Group, Faculty of ITEE, University of Oulu, Oulu, Finland
| | - Juha Röning
- Biomimetics and Intelligent Systems Group, Faculty of ITEE, University of Oulu, Oulu, Finland
| | - Tiina Laatikainen
- Joint Municipal Authority for North Karelia Social and Health Services (Siun Sote), Joensuu, Finland,Department of Public Health and Social Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland,Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
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Lavikainen P, Aarnio E, Linna M, Jalkanen K, Tirkkonen H, Rautiainen P, Laatikainen T, Martikainen J. Data-driven long-term glycaemic control trajectories and their associated health and economic outcomes in Finnish patients with incident type 2 diabetes. PLoS One 2022; 17:e0269245. [PMID: 35648780 PMCID: PMC9159579 DOI: 10.1371/journal.pone.0269245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 05/17/2022] [Indexed: 11/29/2022] Open
Abstract
Background Treatments should be customized to patients to improve patients’ health outcomes and maximize the treatment benefits. We aimed to identify meaningful data-driven trajectories of incident type 2 diabetes patients with similarities in glycated haemoglobin (HbA1c) patterns since diagnosis and to examine their clinical and economic relevance. Materials and methods A cohort of 1540 patients diagnosed in 2011–2012 was retrieved from electronic health records covering primary and specialized healthcare in the North Karelia region, Finland. EHRs data were compiled with medication purchase data. Average HbA1c levels, use of medications, and incidence of micro- and macrovascular complications and deaths were measured annually for seven years since T2D diagnosis. Trajectories were identified applying latent class growth models. Differences in 4-year cumulative healthcare costs with 95% confidence intervals (CIs) were estimated with non-parametric bootstrapping. Results Four distinct trajectories of HbA1c development during 7 years after T2D diagnosis were extracted: patients with “Stable, adequate” (66.1%), “Slowly deteriorating” (24.3%), and “Rapidly deteriorating” glycaemic control (6.2%) as well as “Late diagnosed” patients (3.4%). During the same period, 2.2 (95% CI 1.9–2.6) deaths per 100 person-years occurred in the “Stable, adequate” trajectory increasing to 3.2 (2.4–4.0) in the “Slowly deteriorating”, 4.7 (3.1–6.9) in the “Rapidly deteriorating” and 5.2 (2.9–8.7) in the “Late diagnosed” trajectory. Similarly, 3.5 (95% CI 3.0–4.0) micro- and macrovascular complications per 100 person-years occurred in the “Stable, adequate” trajectory increasing to 5.1 (4.1–6.2) in the “Slowly deteriorating”, 5.5 (3.6–8.1) in the “Rapidly deteriorating” and 7.3 (4.3–11.8) in the “Late diagnosed” trajectory. Patients in the “Stable, adequate” trajectory had lower accumulated 4-year medication costs than other patients. Conclusions Data-driven patient trajectories have clinical and economic relevance and could be utilized as a step towards personalized medicine instead of the common “one-fits-for-all” treatment practices.
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Affiliation(s)
- Piia Lavikainen
- School of Pharmacy, University of Eastern Finland, Kuopio, Finland
- * E-mail:
| | - Emma Aarnio
- School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | | | - Kari Jalkanen
- School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Hilkka Tirkkonen
- Siun Sote – Joint Municipal Authority for North Karelia Social and Health Services, Joensuu, Finland
| | - Päivi Rautiainen
- Siun Sote – Joint Municipal Authority for North Karelia Social and Health Services, Joensuu, Finland
| | - Tiina Laatikainen
- Siun Sote – Joint Municipal Authority for North Karelia Social and Health Services, Joensuu, Finland
- Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
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Ehtewish H, Arredouani A, El-Agnaf O. Diagnostic, Prognostic, and Mechanistic Biomarkers of Diabetes Mellitus-Associated Cognitive Decline. Int J Mol Sci 2022; 23:6144. [PMID: 35682821 PMCID: PMC9181591 DOI: 10.3390/ijms23116144] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 03/29/2022] [Accepted: 03/29/2022] [Indexed: 01/27/2023] Open
Abstract
Cognitive dysfunctions such as mild cognitive impairment (MCI), Alzheimer's disease (AD), and other forms of dementia are recognized as common comorbidities of type 2 diabetes mellitus (T2DM). Currently, there are no disease-modifying therapies or definitive clinical diagnostic and prognostic tools for dementia, and the mechanisms underpinning the link between T2DM and cognitive dysfunction remain equivocal. Some of the suggested pathophysiological mechanisms underlying cognitive decline in diabetes patients include hyperglycemia, insulin resistance and altered insulin signaling, neuroinflammation, cerebral microvascular injury, and buildup of cerebral amyloid and tau proteins. Given the skyrocketing global rates of diabetes and neurodegenerative disorders, there is an urgent need to discover novel biomarkers relevant to the co-morbidity of both conditions to guide future diagnostic approaches. This review aims to provide a comprehensive background of the potential risk factors, the identified biomarkers of diabetes-related cognitive decrements, and the underlying processes of diabetes-associated cognitive dysfunction. Aging, poor glycemic control, hypoglycemia and hyperglycemic episodes, depression, and vascular complications are associated with increased risk of dementia. Conclusive research studies that have attempted to find specific biomarkers are limited. However, the most frequent considerations in such investigations are related to C reactive protein, tau protein, brain-derived neurotrophic factor, advanced glycation end products, glycosylated hemoglobin, and adipokines.
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Affiliation(s)
- Hanan Ehtewish
- Division of Biological and Biomedical Sciences (BBS), College of Health & Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Doha 34110, Qatar;
| | - Abdelilah Arredouani
- Division of Biological and Biomedical Sciences (BBS), College of Health & Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Doha 34110, Qatar;
- Diabetes Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Doha 34110, Qatar
| | - Omar El-Agnaf
- Division of Biological and Biomedical Sciences (BBS), College of Health & Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Doha 34110, Qatar;
- Neurological Disorders Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Doha 34110, Qatar
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Li Y, Li M, Feng Y, Ma X, Tan X, Chen Y, Qin C, Huang H, Liang Y, Qiu S. Aberrant Brain Spontaneous Activity and Synchronization in Type 2 Diabetes Mellitus Subjects Without Mild Cognitive Impairment. Front Neurosci 2022; 15:749730. [PMID: 34975372 PMCID: PMC8716545 DOI: 10.3389/fnins.2021.749730] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 11/19/2021] [Indexed: 01/21/2023] Open
Abstract
Objective: We aimed to explore whether the percent amplitude of fluctuation (PerAF) measurement could provide supplementary information for amplitude of low-frequency fluctuation (ALFF) about spontaneous activity alteration in type 2 diabetes mellitus (T2DM) subjects without mild cognitive impairment (MCI). Then we further evaluated the synchronization through the method of functional connectivity (FC) to better demonstrate brain changes in a more comprehensive manner in T2DM. Methods: Thirty T2DM subjects without MCI and thirty well-matched healthy subjects were recruited in this study. Subjects' clinical data, neuropsychological test results, and resting-state functional magnetic resonance imaging (rs-fMRI) data were acquired. Voxel-based group difference comparisons between PerAF and ALFF were conducted. Then, seed-based FC between the recognized brain regions based on PerAF and ALFF and the rest of the whole brain was performed. Results: Compared with healthy group, T2DM group had significantly decreased PerAF in the bilateral middle occipital gyrus and the right calcarine, increased ALFF in the right orbital inferior frontal gyrus and decreased ALFF in the right calcarine. Seed-based FC analysis showed that the right middle occipital gyrus of T2DM subjects exhibited significantly decreased FC with the right caudate nucleus and right putamen. According to the partial correlation analyses, hemoglobin A1c (HbA1c) and immediate memory scores on the auditory verbal learning test (AVLT) were negatively correlated in the T2DM group. However, we found that total cholesterol was positively correlated with symbol digit test (SDT) scores. Conclusion: PerAF and ALFF may have different sensitivities in detecting the abnormal spontaneous brain activity in T2DM subjects. We suggest PerAF values may add supplementary information and indicate additional potential neuronal spontaneous activity in T2DM subjects without MCI, which may provide new insights into the neuroimaging mechanisms underlying early diabetes-associated cognitive decline.
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Affiliation(s)
- Yifan Li
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.,Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Mingrui Li
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.,Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yue Feng
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.,Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xiaomeng Ma
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.,Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xin Tan
- Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yuna Chen
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.,Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Chunhong Qin
- Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Haoming Huang
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.,Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yi Liang
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.,Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Shijun Qiu
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.,Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
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Trajectories of glycemic control with clinical pharmacy specialist management of veterans with type 2 diabetes. Res Social Adm Pharm 2021; 18:3064-3071. [PMID: 34481747 DOI: 10.1016/j.sapharm.2021.08.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 08/06/2021] [Accepted: 08/18/2021] [Indexed: 11/20/2022]
Abstract
BACKGROUND Improved control of glycemic control likely lowers the risk of diabetes complications and clinical pharmacy specialist (CPS) services can improve glycemic control. Though the pattern of control may also matter in terms of outcomes. OBJECTIVES The objective of this study was to examine the longitudinal trajectories of HbA1c among a large population of Veterans with type 2 diabetes who received CPS-led diabetes management. METHODS This is an observational, multicenter cohort study of Veterans with type-2 diabetes managed by CPSs between 7/1/2013 and 7/1/2017 with baseline glycosylated hemoglobin (HbA1c) level ≥8%. Two years of HbA1c measurements were used to group patients into distinct patterns of HbA1c trajectories over time using group-based trajectory modeling. Characteristics associated with successful HbA1c trajectories and association of assigned trajectories with all-cause and diabetes-related hospitalizations were analyzed using logistic regression. RESULTS A total of 4119 Veterans were included and able to be successfully segmented into six distinct HbA1c trajectory groups over time: High Gradually Decreasing (n = 325, 7.9%), Moderate Early Decline (n = 1692, 41.1%), Large Early Decline (n = 231, 5.6%), Uncontrolled Stable (n = 1468, 35.6%), Early Decline/Subsequent Increase (n = 266, 6.5%), and Very Uncontrolled Stable (n = 137, 3.3%). The distinguishing factor between successful and less successful trajectories appears to be the progress made within the first six months of pharmacist management. CONCLUSIONS Significant variability exists in the pattern of glycemic control over time of type 2 diabetes patients managed by clinical pharmacy specialists. Limited resources should be first prioritized to managing patients with very elevated HbA1c and into the first six months of CPS management.
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11
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Cukierman-Yaffe T, McClure LA, Risoli T, Bosch J, Sharma M, Gerstein HC, Benavente O. The Relationship Between Glucose Control and Cognitive Function in People With Diabetes After a Lacunar Stroke. J Clin Endocrinol Metab 2021; 106:e1521-e1528. [PMID: 33481011 PMCID: PMC7993572 DOI: 10.1210/clinem/dgab022] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Indexed: 11/19/2022]
Abstract
CONTEXT Lacunar strokes and diabetes are risk factors for cognitive dysfunction. Elucidating modifiable risk factors for cognitive dysfunction has great public health implications. One factor may be glycemic status, as measured by glycated hemoglobin (A1c). OBJECTIVE The aim of this study was to assess the relationship between A1c and cognitive function in lacunar stroke patients with diabetes. METHODS The effect of baseline and follow-up A1c on the baseline and the change in Cognitive Assessment Screening Instrument (CASI) score over time among participants with a median of 2 cognitive assessments (range, 1-5) was examined in 942 individuals with diabetes and a lacunar stroke who participated in the Secondary Prevention of Small Subcortical Strokes (SPS3) trial (ClinicalTrials.gov No. NCT00059306). RESULTS Every 1% higher baseline A1c was associated with a 0.06 lower standardized CASI z score (95% CI, -0.101 to -0.018). Higher baseline A1c values were associated with lower CASI z scores over time (P for interaction = .037). A 1% increase in A1c over time corresponded with a CASI score decrease of 0.021 (95% CI, -0.0043 to -0.038) during follow-up. All these remained statistically significant after adjustment for age, sex, education, race, depression, hypertension, hyperlipidemia, body mass index, cardiovascular disease, obstructive sleep apnea, diabetic retinopathy, nephropathy insulin use, and white-matter abnormalities. CONCLUSION This analysis of lacunar stroke patients with diabetes demonstrates a relationship between A1c and change in cognitive scores over time. Intervention studies are needed to delineate whether better glucose control could slow the rate of cognitive decline in this high-risk population.
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Affiliation(s)
- Tali Cukierman-Yaffe
- Endocrinology Institute, Gertner Institute Sheba Medical Center, Tel-Aviv, Israel
- Epidemiology Department, Sackler School of Medicine, Herczeg Institute on Aging, Tel-Aviv University, Tel-Aviv, Israel
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
- Correspondence: Tali Cukierman-Yaffe, MD, MSC, Endocrinology Institute, Gertner Institute Sheba Medical Center, 6 Tritsh St, Tel-Aviv, 6986006 Israel.
| | - Leslie A McClure
- Department of Epidemiology & Biostatistics Dornsife School of Public Health, Drexel University, Philadelphia, USA
| | - Thomas Risoli
- Duke CTSI Biostatistics, Epidemiology and Research Design (BERD) Methods Core Duke University School of Medicine, Durham, North Carolina, USA
| | - Jackie Bosch
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
- School of Rehabilitation Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Mike Sharma
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
| | - Hertzel C Gerstein
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada
| | - Oscar Benavente
- Department of Medicine, Division of Neurology, University of British Columbia, Vancouver, British Columbia, Canada
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12
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Seng JJB, Monteiro AY, Kwan YH, Zainudin SB, Tan CS, Thumboo J, Low LL. Population segmentation of type 2 diabetes mellitus patients and its clinical applications - a scoping review. BMC Med Res Methodol 2021; 21:49. [PMID: 33706717 PMCID: PMC7953703 DOI: 10.1186/s12874-021-01209-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Accepted: 01/13/2021] [Indexed: 12/25/2022] Open
Abstract
Background Population segmentation permits the division of a heterogeneous population into relatively homogenous subgroups. This scoping review aims to summarize the clinical applications of data driven and expert driven population segmentation among Type 2 diabetes mellitus (T2DM) patients. Methods The literature search was conducted in Medline®, Embase®, Scopus® and PsycInfo®. Articles which utilized expert-based or data-driven population segmentation methodologies for evaluation of outcomes among T2DM patients were included. Population segmentation variables were grouped into five domains (socio-demographic, diabetes related, non-diabetes medical related, psychiatric / psychological and health system related variables). A framework for PopulAtion Segmentation Study design for T2DM patients (PASS-T2DM) was proposed. Results Of 155,124 articles screened, 148 articles were included. Expert driven population segmentation approach was most commonly used, of which judgemental splitting was the main strategy employed (n = 111, 75.0%). Cluster based analyses (n = 37, 25.0%) was the main data driven population segmentation strategies utilized. Socio-demographic (n = 66, 44.6%), diabetes related (n = 54, 36.5%) and non-diabetes medical related (n = 18, 12.2%) were the most used domains. Specifically, patients’ race, age, Hba1c related parameters and depression / anxiety related variables were most frequently used. Health grouping/profiling (n = 71, 48%), assessment of diabetes related complications (n = 57, 38.5%) and non-diabetes metabolic derangements (n = 42, 28.4%) were the most frequent population segmentation objectives of the studies. Conclusions Population segmentation has a wide range of clinical applications for evaluating clinical outcomes among T2DM patients. More studies are required to identify the optimal set of population segmentation framework for T2DM patients. Supplementary Information The online version contains supplementary material available at 10.1186/s12874-021-01209-w.
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Affiliation(s)
- Jun Jie Benjamin Seng
- Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.,SingHealth Regional Health System PULSES Centre, Singapore Health Services, Outram Rd, Singapore, 169608, Singapore
| | | | - Yu Heng Kwan
- SingHealth Regional Health System PULSES Centre, Singapore Health Services, Outram Rd, Singapore, 169608, Singapore.,Program in Health Services and Systems Research, Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.,Department of Pharmacy, Faculty of Science, National University of Singapore, Singapore, Singapore
| | - Sueziani Binte Zainudin
- Department of General Medicine (Endocrinology), Sengkang General Hospital, Singapore, Singapore
| | - Chuen Seng Tan
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Republic of Singapore
| | - Julian Thumboo
- SingHealth Regional Health System PULSES Centre, Singapore Health Services, Outram Rd, Singapore, 169608, Singapore.,Department of Rheumatology and Immunology, Singapore General Hospital, Singapore, Singapore.,SingHealth Regional Health System, Singapore Health Services, Singapore, Singapore
| | - Lian Leng Low
- SingHealth Regional Health System PULSES Centre, Singapore Health Services, Outram Rd, Singapore, 169608, Singapore. .,SingHealth Regional Health System, Singapore Health Services, Singapore, Singapore. .,Department of Family Medicine and Continuing Care, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore. .,SingHealth Duke-NUS Family Medicine Academic Clinical Program, Singapore, Singapore. .,Outram Community Hospital, SingHealth Community Hospitals, 10 Hospital Boulevard, Singapore, 168582, Singapore.
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13
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Zhou J, Walker RL, Gray SL, Marcum ZA, Barthold D, Bowen JD, McCormick W, McCurry SM, Larson EB, Crane PK. Glucose-Dementia Association Is Consistent Over Blood Pressure/Antihypertensive Groups. J Alzheimers Dis 2021; 80:79-90. [PMID: 33554906 DOI: 10.3233/jad-201138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Higher glucose levels are associated with dementia risk in people with and without diabetes. However, little is known about how this association might vary by hypertension status and antihypertensive treatment. Most studies on modifiable dementia risk factors consider each factor in isolation. OBJECTIVE To test the hypothesis that hypertension and antihypertensive treatments may modify associations between glucose levels and dementia. METHODS Analyses of data generated from a research study and clinical care of participants from a prospective cohort of dementia-free older adults, including glucose measures, diabetes and antihypertensive treatments, and blood pressure data. We defined groups based on blood pressure (hypertensive versus not, ≥140/90 mmHg versus <140/90 mmHg) and antihypertensive treatment intensity (0, 1, or ≥2 classes of antihypertensives). We used Bayesian joint models to jointly model longitudinal exposure and time to event data. RESULTS A total of 3,056 participants without diabetes treatment and 480 with diabetes treatment were included (mean age at baseline, 75.1 years; mean 7.5 years of follow-up). Higher glucose levels were associated with greater dementia risk among people without and with treated diabetes. Hazard ratios for dementia were similar across all blood pressure/antihypertensive treatment groups (omnibus p = 0.82 for people without and p = 0.59 for people with treated diabetes). CONCLUSION Hypertension and antihypertensive treatments do not appear to affect the association between glucose and dementia risk in this population-based longitudinal cohort study of community-dwelling older adults. Future studies are needed to examine this question in midlife and by specific antihypertensive treatments.
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Affiliation(s)
- Jing Zhou
- Kaiser Permanente Health Research Institute, Seattle, WA, USA
| | - Rod L Walker
- Kaiser Permanente Health Research Institute, Seattle, WA, USA
| | - Shelly L Gray
- Departments of Pharmacy, University of Washington, Seattle, WA, USA
| | - Zachary A Marcum
- Departments of Pharmacy, University of Washington, Seattle, WA, USA
| | - Douglas Barthold
- Departments of Pharmacy, University of Washington, Seattle, WA, USA
| | - James D Bowen
- Department of Neurology, Swedish Hospital Medical Center, Seattle, WA, USA
| | - Wayne McCormick
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Susan M McCurry
- Departments of Psychosocial and Community Health, University of Washington, Seattle, WA, USA
| | - Eric B Larson
- Kaiser Permanente Health Research Institute, Seattle, WA, USA
| | - Paul K Crane
- Department of Medicine, University of Washington, Seattle, WA, USA
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14
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Chepulis L, Morison B, Cassim S, Norman K, Keenan R, Paul R, Lawrenson R. Barriers to Diabetes Self-Management in a Subset of New Zealand Adults with Type 2 Diabetes and Poor Glycaemic Control. J Diabetes Res 2021; 2021:5531146. [PMID: 34136579 PMCID: PMC8177985 DOI: 10.1155/2021/5531146] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 05/02/2021] [Accepted: 05/21/2021] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Despite the fact that there is an increasingly effective armoury of medications to treat diabetes, many people continue to have substantially elevated blood glucose levels. The purpose of this study was to explore what the barriers to diabetes management are in a cohort of people with diabetes and poor glycaemic control. METHODS Qualitative semistructured interviews were carried out with 10 people with diabetes who had known diabetes and a recent HbA1c of >11.3% (100 mmol/mol) to explore their experiences of barriers to diabetes self-management and glycaemic control. RESULTS Barriers to diabetes management were based around two key themes: biopsychosocial factors and knowledge about diabetes. Specifically, financial concerns, social stigma, medication side effects, and cognitive impairment due to hyperglycaemia were commonly reported as barriers to medication use. Other barriers included a lack of knowledge about their own condition, poor relationships with healthcare professionals, and a lack of relevant resources to support diet and weight loss. CONCLUSION People with diabetes with poor glycaemic control experience many of the same barriers as those reported elsewhere, but also experience issues specifically related to their severe hyperglycaemia. Management of diabetes could be improved via the increased use of patient education and availability of locally relevant resources.
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Affiliation(s)
- Lynne Chepulis
- Medical Research Centre, University of Waikato, Hamilton, New Zealand
| | - Brittany Morison
- Medical Research Centre, University of Waikato, Hamilton, New Zealand
| | - Shemana Cassim
- Medical Research Centre, University of Waikato, Hamilton, New Zealand
| | - Kimberley Norman
- Medical Research Centre, University of Waikato, Hamilton, New Zealand
| | - Rawiri Keenan
- Medical Research Centre, University of Waikato, Hamilton, New Zealand
| | - Ryan Paul
- Medical Research Centre, University of Waikato, Hamilton, New Zealand
- Waikato District Health Board, Waikato, Hamilton, New Zealand
| | - Ross Lawrenson
- Medical Research Centre, University of Waikato, Hamilton, New Zealand
- Waikato District Health Board, Waikato, Hamilton, New Zealand
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15
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Sanborn V, Azcarate-Peril MA, Updegraff J, Manderino L, Gunstad J. Randomized Clinical Trial Examining the Impact of Lactobacillus rhamnosus GG Probiotic Supplementation on Cognitive Functioning in Middle-aged and Older Adults. Neuropsychiatr Dis Treat 2020; 16:2765-2777. [PMID: 33223831 PMCID: PMC7671471 DOI: 10.2147/ndt.s270035] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Accepted: 09/02/2020] [Indexed: 12/19/2022] Open
Abstract
PURPOSE The gut microbiome has been linked to cognitive function and appears to worsen with aging. Probiotic supplementation has been found to improve the health of the gut microbiome. As such, it is possible that probiotic supplementation may protect the aging brain. The current study examined the cognitive benefits of probiotic supplementation (Lactobacillus rhamnosus GG) in healthy middle-aged and older adults. MATERIALS AND METHODS The study was a double-blind, placebo-controlled, randomized clinical trial. Two hundred community-dwelling adults aged 52-75 were enrolled (mean age=64.3, SD=5.52). A three-month intervention involved daily consumption of probiotic or placebo. Independent sample t-tests, chi-squared tests, and repeated measure ANOVAs compared groups and examined changes over time. Primary outcome was change in NIH Toolbox Total Cognition Score from baseline to follow-up. RESULTS A total of 145 participants were examined in primary analyses (probiotic=77, placebo=68) and excluded persons due to discontinuation, low adherence, missing data, or outlier values. Established criteria (ie ≥1 subtest t-scores ≤35; n=19, n=23) were used to operationally define cognitive impairment. Repeated measures ANOVAs revealed that persons with cognitive impairment who consumed probiotics exhibited a greater total cognition score improvement than persons with cognitive impairment in the placebo group and cognitively intact persons in probiotic or placebo groups. CONCLUSION Lactobacillus rhamnosus GG probiotic supplementation was associated with improved cognitive performance in middle-aged and older adults with cognitive impairment. Probiotic supplementation may be a novel method for protecting cognitive health in aging.
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Affiliation(s)
- Victoria Sanborn
- Department of Psychological Sciences, Kent State University, Kent, OH, USA
| | - M Andrea Azcarate-Peril
- Department of Cell Biology and Physiology and Microbiome Core Facility, UNC School of Medicine, Chapel Hill, North Carolina, USA
| | - John Updegraff
- Department of Psychological Sciences, Kent State University, Kent, OH, USA
| | - Lisa Manderino
- Department of Psychological Sciences, Kent State University, Kent, OH, USA
| | - John Gunstad
- Department of Psychological Sciences, Kent State University, Kent, OH, USA
- Brain Health Research Institute, Kent State University, Kent, OH, USA
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16
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Botvin Moshe C, Haratz S, Ravona-Springer R, Heymann A, Hung-Mo L, Schnaider Beeri M, Tanne D. Long-term trajectories of BMI predict carotid stiffness and plaque volume in type 2 diabetes older adults: a cohort study. Cardiovasc Diabetol 2020; 19:138. [PMID: 32933542 PMCID: PMC7493137 DOI: 10.1186/s12933-020-01104-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Accepted: 08/11/2020] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND High body mass index (BMI) is a risk factor for type 2 diabetes and cardiovascular disease. However, its relationships with indices of carotid stiffness and plaque volume are unclear. We investigated associations of long-term measurements of BMI with indices of carotid stiffness and atherosclerosis among non-demented diabetes patients from the Israel Diabetes and Cognitive Decline (IDCD) study. METHODS Carotid ultrasound indices [carotid intima media thickness (cIMT), distensibility, elastography and plaque volume] were assessed in N = 471 participants. Mean BMI across all MHS diabetes registry measurements and trajectories of BMI were calculated. BMI was categorized into three trajectory groups representing: a relatively stable normal weight (n = 185, 44%), overweight trajectory (n = 188, 44.8%) and a trajectory of obesity (n = 47, 11.2%). Linear and logistic regressions estimated associations of carotid indices with mean BMI and BMI trajectories. RESULTS Compared to the normal weight trajectory, an obesity trajectory was associated with carotid distensibility (β = - 3.078, p = 0.037), cIMT (β = 0.095, p = 0.004), and carotid elastography (β = 0.181, p = 0.004) but not with plaque volume (β = 0.066, p = 0.858). Compared with the normal weight trajectory, an obesity trajectory was associated with increased odds for impaired carotid distensibility (OR = 2.790, p = 0.033), impaired cIMT (OR = 5.277, p = 0.001) and large carotid plaque volume (OR = 8.456, p = 0.013) but not with carotid elastography (OR = 1.956, p = 0.140). Mean BMI was linearly associated with Distensibility (β = - 0.275, p = 0.005) and cIMT (β = 0.005, p = 0.026). CONCLUSIONS Long-term measurements of adiposity are associated with indices of carotid stiffness and plaque volume among older type 2 diabetes adults.
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Affiliation(s)
- Chen Botvin Moshe
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Sackler School of Medicine, Tel Aviv University, Harimon 9, POB 365, 4295400 Nordia, Israel
| | | | - Ramit Ravona-Springer
- Memory and Geriatric Psychiatry Clinic, Sheba Medical center, Sackler School of Medicine, Tel Aviv University, Tel Aviv-Yafo, Israel
| | - Anthony Heymann
- Maccabi Health Services, Israel, Sackler School of Medicine, Tel Aviv University, Tel Aviv-Yafo, Israel
| | - Lin Hung-Mo
- Department of Anesthesiology, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Michal Schnaider Beeri
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Ramat Ga, Israel
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - David Tanne
- Stroke and Cognition Institute, Rambam Health Care Campus, Haifa, Israel
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17
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An J, Nichols GA, Qian L, Harrison TN, Li Z, Munis MA, Wei R, Weiss T, Rajpathak S, Reynolds K. Time in suboptimal glycemic control over 10 years for patients newly diagnosed with type 2 diabetes. J Diabetes Complications 2020; 34:107607. [PMID: 32499115 DOI: 10.1016/j.jdiacomp.2020.107607] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 04/18/2020] [Accepted: 04/18/2020] [Indexed: 11/22/2022]
Abstract
OBJECTIVE To estimate time in suboptimal glycemic control among patients with incident type 2 diabetes (T2D) over 10 years. METHODS We calculated percent of time in suboptimal glycemic control using three A1C thresholds (8%, 7.5%, 7%) following T2D diagnosis. Stratified analyses were conducted based on age and A1C levels at T2D diagnosis. RESULTS We identified 28,315 patients with incident T2D. Percent of time in suboptimal glycemic control increased with T2D duration. Mean percent time in suboptimal A1C control in the first 2 years following diagnosis was 30%, 34% and 40% for the 8%, 7.5%, and 7% thresholds, respectively. In the 6-10 years following T2D diagnosis, the percent time in suboptimal A1C control increased to 39%, 48% and 61%, for the 8%, 7.5%, and 7% thresholds, respectively. Time in suboptimal glycemic control was longer among younger patients aged 20-44 versus ≥65 years and those with higher A1C (>8%) versus lower A1C (<7%) at diagnosis. CONCLUSIONS Over 10 years following diagnosis, T2D patients spent one-third to over one-half of their time in suboptimal glycemic control. Reducing time spent above desired A1C targets could lower risk of microvascular and macrovascular complications.
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Affiliation(s)
- Jaejin An
- Kaiser Permanente Southern California, Pasadena, CA, USA.
| | | | - Lei Qian
- Kaiser Permanente Southern California, Pasadena, CA, USA
| | | | - Zhuoxin Li
- Kaiser Permanente Southern California, Pasadena, CA, USA
| | | | - Rong Wei
- Kaiser Permanente Southern California, Pasadena, CA, USA
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18
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Bharmal SH, Cho J, Alarcon Ramos GC, Ko J, Stuart CE, Modesto AE, Singh RG, Petrov MS. Trajectories of glycaemia following acute pancreatitis: a prospective longitudinal cohort study with 24 months follow-up. J Gastroenterol 2020; 55:775-788. [PMID: 32494905 DOI: 10.1007/s00535-020-01682-y] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Accepted: 03/19/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND New-onset diabetes is the most common sequela of acute pancreatitis (AP). Yet, prospective changes in glycaemia over time have never been investigated comprehensively in this study population. The primary aim was to determine the cumulative incidence of new-onset prediabetes and new-onset diabetes after AP over 24 months of follow-up in a prospective cohort study. The secondary aim was to identify trajectories of glycaemia during follow-up and their predictors at the time of hospitalisation. METHODS Patients with a prospective diagnosis of AP and no diabetes based on the American Diabetes Association criteria were followed up every 6 months up to 24 months after hospital discharge. Incidence of new-onset prediabetes/diabetes over each follow-up period was calculated. Group-based trajectory modelling was used to identify common changes in glycaemia. Multinomial regression analyses were conducted to investigate the associations between a wide array of routinely available demographic, anthropometric, laboratory, imaging, and clinical factors and membership in the trajectory groups. RESULTS A total of 152 patients without diabetes were followed up. The cumulative incidence of new-onset prediabetes and diabetes was 20% at 6 months after hospitalisation and 43% over 24 months of follow-up (p trend < 0.001). Three discrete trajectories of glycaemia were identified: normal-stable glycaemia (32%), moderate-stable glycaemia (60%), and high-increasing glycaemia (8%). Waist circumference was a significant predictor of moderate-stable glycaemia. None of the studied predictors were significantly associated with high-increasing glycaemia. CONCLUSIONS This first prospective cohort study of changes in glycaemia (determined at structured time points in unselected AP patients) showed that at least one out of five patients develops new-onset prediabetes or diabetes at 6 months of follow-up and more than four out of ten-in the first 2 years. Changes in glycaemia after AP follow three discrete trajectories. This may inform prevention or early detection of critical changes in blood glucose metabolism following an attack of AP and, hence, reduce the burden of new-onset diabetes after acute pancreatitis.
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Affiliation(s)
- Sakina Huseni Bharmal
- School of Medicine, University of Auckland, Room 12.085 A, Level 12, Auckland City Hospital, Auckland, 1142, New Zealand
| | - Jaelim Cho
- School of Medicine, University of Auckland, Room 12.085 A, Level 12, Auckland City Hospital, Auckland, 1142, New Zealand
| | | | - Juyeon Ko
- School of Medicine, University of Auckland, Room 12.085 A, Level 12, Auckland City Hospital, Auckland, 1142, New Zealand
| | - Charlotte Elizabeth Stuart
- School of Medicine, University of Auckland, Room 12.085 A, Level 12, Auckland City Hospital, Auckland, 1142, New Zealand
| | - Andre Eto Modesto
- School of Medicine, University of Auckland, Room 12.085 A, Level 12, Auckland City Hospital, Auckland, 1142, New Zealand
| | - Ruma Girish Singh
- School of Medicine, University of Auckland, Room 12.085 A, Level 12, Auckland City Hospital, Auckland, 1142, New Zealand
| | - Maxim Sergey Petrov
- School of Medicine, University of Auckland, Room 12.085 A, Level 12, Auckland City Hospital, Auckland, 1142, New Zealand.
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19
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Du Y, Paiva K, Cebula A, Kim S, Lopez K, Li C, White C, Myneni S, Seshadri S, Wang J. Diabetes-Related Topics in an Online Forum for Caregivers of Individuals Living With Alzheimer Disease and Related Dementias: Qualitative Inquiry. J Med Internet Res 2020; 22:e17851. [PMID: 32628119 PMCID: PMC7381255 DOI: 10.2196/17851] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Revised: 04/07/2020] [Accepted: 06/03/2020] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Diabetes and Alzheimer disease and related dementias (ADRD) are the seventh and sixth leading causes of death in the United States, respectively, and they coexist in many older adults. Caring for a loved one with both ADRD and diabetes is challenging and burdensome. OBJECTIVE This study aims to explore diabetes-related topics in the Alzheimer's Association ALZConnected caregiver forum by family caregivers of persons living with ADRD. METHODS User posts on the Alzheimer's Association ALZConnected caregiver forum were extracted. A total of 528 posts related to diabetes were included in the analysis. Of the users who generated the 528 posts, approximately 96.1% (275/286) were relatives of the care recipient with ADRD (eg, child, grandchild, spouse, sibling, or unspecified relative). Two researchers analyzed the data independently using thematic analysis. Any divergence was discussed among the research team, and an agreement was reached with a senior researcher's input as deemed necessary. RESULTS Thematic analysis revealed 7 key themes. The results showed that comorbidities of ADRD were common topics of discussions among family caregivers. Diabetes management in ADRD challenged family caregivers. Family caregivers might neglect their own health care because of the caring burden, and they reported poor health outcomes and reduced quality of life. The online forum provided a platform for family caregivers to seek support in their attempts to learn more about how to manage the ADRD of their care recipients and seek support for managing their own lives as caregivers. CONCLUSIONS The ALZConnected forum provided a platform for caregivers to seek informational and emotional support for caring for persons living with ADRD and diabetes. The overwhelming burdens with these two health conditions were apparent for both caregivers and care recipients based on discussions from the online forum. Studies are urgently needed to provide practical guidelines and interventions for diabetes management in individuals with diabetes and ADRD. Future studies to explore delivering diabetes management interventions through online communities in caregivers and their care recipients with ADRD and diabetes are warranted.
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Affiliation(s)
- Yan Du
- Center on Smart and Connected Health Technologies, School of Nursing, The University of Texas Health Science Center at San Antonio, San Antonio, TX, United States
| | - Kristi Paiva
- Center on Smart and Connected Health Technologies, School of Nursing, The University of Texas Health Science Center at San Antonio, San Antonio, TX, United States
| | - Adrian Cebula
- Center on Smart and Connected Health Technologies, School of Nursing, The University of Texas Health Science Center at San Antonio, San Antonio, TX, United States
| | - Seon Kim
- Center on Smart and Connected Health Technologies, School of Nursing, The University of Texas Health Science Center at San Antonio, San Antonio, TX, United States
| | - Katrina Lopez
- Center on Smart and Connected Health Technologies, School of Nursing, The University of Texas Health Science Center at San Antonio, San Antonio, TX, United States
| | - Chengdong Li
- Center on Smart and Connected Health Technologies, School of Nursing, The University of Texas Health Science Center at San Antonio, San Antonio, TX, United States
| | - Carole White
- School of Nursing, The University of Texas Health Science Center at San Antonio, San Antonio, TX, United States
| | - Sahiti Myneni
- School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, The University of Texas Health Science Center at San Antonio, San Antonio, TX, United States
| | - Jing Wang
- Center on Smart and Connected Health Technologies, School of Nursing, The University of Texas Health Science Center at San Antonio, San Antonio, TX, United States
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20
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Abdelhafiz AH, Davies PC, Sinclair AJ. Triad of impairment in older people with diabetes-reciprocal relations and clinical implications. Diabetes Res Clin Pract 2020; 161:108065. [PMID: 32044347 DOI: 10.1016/j.diabres.2020.108065] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2019] [Revised: 01/28/2020] [Accepted: 02/06/2020] [Indexed: 12/25/2022]
Abstract
Frailty is emerging as a new category complication of diabetes in older people. Clinically, frailty is still not well defined and mostly viewed as a decline in solely the physical domain. However, frailty is a multidimensional syndrome and the newly introduced concept of "triad of impairment" (physical, cognitive and emotional) may be a more representative of the broad nature of frailty. The components of the triad of impairment (TOI) commonly coexist and demonstrate a reciprocal relation. Diabetes in old age appears to increase the risk of the triad of impairment, which may eventually progress to disability. Therefore, older people with diabetes should be regularly assessed for the presence of these three key components. Adequate nutrition and regular resistance exercise training have been shown to have a positive impact on the long-term outcome in this population. However, the role of good glycaemic control and the use of current hypoglycaemic medications in reducing the incidence of this triad are less clear. Future research is needed to develop novel hypoglycaemic medications that not only focus on glycaemic control and cardiovascular safety but also on reducing the risk of the triad of impairment.
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Affiliation(s)
- A H Abdelhafiz
- Department of Geriatric Medicine, Rotherham General Hospital, Moorgate Road, Rotherham S60 2UD, UK.
| | - P C Davies
- Department of Geriatric Medicine, Rotherham General Hospital, Moorgate Road, Rotherham S60 2UD, UK
| | - A J Sinclair
- Foundation for Diabetes Research in Older People, Diabetes Frail Ltd, Droitwich Spa WR9 0QH, UK; Kings College, London SE1 9NH, UK
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21
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Florez L, Shubina M, Turchin A. Predictors of glycemic control after decline of insulin therapy by patients with type 2 diabetes. J Diabetes Complications 2019; 33:107418. [PMID: 31477552 DOI: 10.1016/j.jdiacomp.2019.107418] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2019] [Revised: 08/13/2019] [Accepted: 08/15/2019] [Indexed: 12/21/2022]
Abstract
AIM Decline of insulin therapy by patients is common but poorly investigated. We conducted this study to determine patient and treatment characteristics predictive of glycemic control after declining clinician recommendation to initiate insulin therapy. METHODS We retrospectively studied adults with type 2 diabetes mellitus treated at two academic medical centers between 1993 and 2014 who declined their healthcare provider recommendation to initiate insulin. RESULTS In a multivariable analysis of 300 study patients adjusted for demographics, comorbidities and clustering within providers, higher baseline HbA1c (OR 1.85; 95% CI 1.40 to 2.39; p < 0.001) and lifestyle changes (OR 8.39; 95% CI 3.26 to 21.55; p < 0.001) were associated with greater, while non-adherence to diabetes medications (OR 0.014; 95% CI 0.0025 to 0.085; p < 0.001) and discontinuation of a non-insulin diabetes medication (OR 0.30; 95% CI 0.11 to 0.80; p = 0.016) were associated with lower probability of HbA1c decrease after declining insulin therapy. CONCLUSION We identified patient characteristics and treatment strategies associated with success and failure of glycemic control after insulin therapy decline by the patient. This information can assist in selection of optimal therapeutic approaches for these individuals.
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Affiliation(s)
- Luisa Florez
- Brigham and Women's Hospital, Boston, MA, United States of America; Harvard Medical School, Boston, MA, United States of America
| | - Maria Shubina
- Brigham and Women's Hospital, Boston, MA, United States of America
| | - Alexander Turchin
- Brigham and Women's Hospital, Boston, MA, United States of America; Harvard Medical School, Boston, MA, United States of America.
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22
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Ahmed A, Zeng G, Jiang D, Lin H, Azhar M, Farooq AD, Choudhary MI, Liu X, Wang Q. Time-dependent impairments in learning and memory in Streptozotocin-induced hyperglycemic rats. Metab Brain Dis 2019; 34:1431-1446. [PMID: 31286327 DOI: 10.1007/s11011-019-00448-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Accepted: 06/10/2019] [Indexed: 12/17/2022]
Abstract
The sedentary lifestyle is responsible for the high prevalence of diabetes which also impairs cognition including learning and memory. Various studies have highlighted the learning and memory impairments in rodent models but data regarding the timeline of their development and their correlation to biochemical parameters are scarce. So, the present study was designed to investigate the type of memory which is more susceptible to hyperglycemia and its correlation with biochemical parameters such as inflammatory cytokines, cAMP response element binding (CREB) and protein kinase B (Akt) activation. Hyperglycemia was induced using streptozotocin (STZ, 45 mg/kg i.p.) and confirmed by measuring fasting blood glucose levels after 1 week of STZ injection. Learning and memory deficits were evaluated using the Novel Object Recognition Test (NORT) and Morris water maze (MWM), and correlated with biochemical parameters (TNF-α, IL-1β, and dopamine) at 3, 6 and 9 weeks. STZ-injected rats after 3 weeks of injection demonstrated moderate hyperglycemia (blood glucose = 7.99 ± 0.62 mM) with intact learning and reference memory; however, their working memory was impaired in MWM. Severe hyperglycemia (blood glucose = 11.51 ± 0.69 mM) accompanied by impaired short, long, and working memory was evident after 6 weeks whereas learning was intact. After 9 weeks of STZ injection, hyperglycemia was more pronounced (13.69 ± 1.43 mM) and accompanied by a learning deficit in addition to short, long, and working memory impairments. The extent of hyperglycemia either in terms of duration or severity resulted in enhanced inflammation, down-regulation of the level of dopamine, protein expression of AKT and CREB, which possibly affected learning and memory negatively.
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Affiliation(s)
- Ayaz Ahmed
- Affiliated TCM hospital/ Sino-Portugal TCM International Cooperation Center / Department of Physiology in School of Basic Medical Sciences, Southwest Medical University, Luzhou, 646000, China
- Hunan Provincial Research Center for Safety Evaluation of Drugs, Changsha, China
- Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, Pakistan
| | - Guirong Zeng
- Hunan Provincial Research Center for Safety Evaluation of Drugs, Changsha, China
- Research Center for Pharmacology & Toxicology, Institute of Medicinal Plant Development (IMPLAD), Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Dejiang Jiang
- Hunan Provincial Research Center for Safety Evaluation of Drugs, Changsha, China
| | - Haiying Lin
- Affiliated TCM hospital/ Sino-Portugal TCM International Cooperation Center / Department of Physiology in School of Basic Medical Sciences, Southwest Medical University, Luzhou, 646000, China
| | - Mudassar Azhar
- Hunan Provincial Research Center for Safety Evaluation of Drugs, Changsha, China
- Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, Pakistan
| | - Ahsana Dar Farooq
- Hamdard Al-Majeed College of Eastern Medicine, Hamdard University, Karachi, 74600, Pakistan
| | - Muhammad Iqbal Choudhary
- Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, Pakistan
- Department of Biochemistry, College of Science, King Abdulaziz University, Jeddah, 21589, Saudi Arabia
| | - Xinmin Liu
- Affiliated TCM hospital/ Sino-Portugal TCM International Cooperation Center / Department of Physiology in School of Basic Medical Sciences, Southwest Medical University, Luzhou, 646000, China.
- Hunan Provincial Research Center for Safety Evaluation of Drugs, Changsha, China.
- Research Center for Pharmacology & Toxicology, Institute of Medicinal Plant Development (IMPLAD), Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Qiong Wang
- Affiliated TCM hospital/ Sino-Portugal TCM International Cooperation Center / Department of Physiology in School of Basic Medical Sciences, Southwest Medical University, Luzhou, 646000, China.
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23
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Low S, Zhang X, Wang J, Yeoh LY, Liu YL, Ang SF, Subramaniam T, Sum CF, Lim SC. Impact of haemoglobin A1c trajectories on chronic kidney disease progression in type 2 diabetes. Nephrology (Carlton) 2019; 24:1026-1032. [DOI: 10.1111/nep.13533] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/12/2018] [Indexed: 12/19/2022]
Affiliation(s)
- Serena Low
- Clinical Research UnitKhoo Teck Puat Hospital Yishun Singapore
| | - Xiao Zhang
- Clinical Research UnitKhoo Teck Puat Hospital Yishun Singapore
| | - Jiexun Wang
- Clinical Research UnitKhoo Teck Puat Hospital Yishun Singapore
| | - Lee Y Yeoh
- Department of MedicineSengkang General Hospital Singapore Singapore
| | - Yan L Liu
- Department of MedicineKhoo Teck Puat Hospital Yishun Singapore
| | - Su F Ang
- Clinical Research UnitKhoo Teck Puat Hospital Yishun Singapore
| | | | - Chee F Sum
- Diabetes CentreKhoo Teck Puat Hospital Singapore Singapore
| | - Su C Lim
- Clinical Research UnitKhoo Teck Puat Hospital Yishun Singapore
- Diabetes CentreKhoo Teck Puat Hospital Singapore Singapore
- Saw Swee Hock School of Public HealthNational University of Singapore Singapore Singapore
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24
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Cohen-Manheim I, Sinnreich R, Doniger GM, Simon ES, Pinchas-Mizrachi R, Kark JD. Fasting plasma glucose in young adults free of diabetes is associated with cognitive function in midlife. Eur J Public Health 2019; 28:496-503. [PMID: 29140417 DOI: 10.1093/eurpub/ckx194] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
Background Evidence for an association of fasting plasma glucose (FPG) with cognitive function in adults free of diabetes is scarce and based on middle-aged and older adults. We examined the association of FPG, measured at age 30, and of change in FPG from age 30 to 43, with cognitive function at age 50. Methods 505 nondiabetic participants of the population-based Jerusalem Lipid Research Clinic (LRC) cohort study had baseline FPG, 2-h post-oral challenge plasma glucose (OGTT) and insulin determined at ages 28-32, and FPG and OGTT again at ages 41-46. Subsequently at ages 48-52, global cognitive function and its five specific component domains were assessed with a NeuroTrax computerized test battery, using multiple linear regression and multivariable logistic models. Results Hyperglycemia (FPG ≥ 5.6 mmol/l vs. <5.6 mmol/l) at baseline was associated with poorer global cognitive function in midlife (predominantly in the visual spatial and attention domains), independent of socio-demographic characteristics, life style variables, body mass index (BMI), and inflammatory and biochemical variables (standardized Beta = -0.121, P = 0.002, plinear trend(FPG continuous) =0.016). Similarly, increased odds for low-ranked (lowest fifth) global cognition was evident (ORper mmol/l FPG=2.31, 95% CI = 1.30-4.13, P = 0.005). Baseline OGTT, insulin resistance (HOMA-IR) and change in FPG and OGTT over 13 years were not associated with cognition. Conclusion A higher FPG in young adults was associated with lower cognitive performance in midlife. Although we cannot dismiss the possibility of reverse causation, hyperglycemia at a young age may be a modifiable risk factor for low-ranked cognitive function in midlife.
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Affiliation(s)
- Irit Cohen-Manheim
- Epidemiology Unit, Hebrew University-Hadassah Braun School of Public Health and Community Medicine, Ein Kerem, Jerusalem, Israel
| | - Ronit Sinnreich
- Epidemiology Unit, Hebrew University-Hadassah Braun School of Public Health and Community Medicine, Ein Kerem, Jerusalem, Israel
| | - Glen M Doniger
- Department of Clinical Research, NeuroTrax Corporation, Modiin, Israel.,Center for Medical Decision Making, Ono Academic College, Kiryat Ono, Israel
| | - Ely S Simon
- Department of Clinical Research, NeuroTrax Corporation, Modiin, Israel.,Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Ronit Pinchas-Mizrachi
- Epidemiology Unit, Hebrew University-Hadassah Braun School of Public Health and Community Medicine, Ein Kerem, Jerusalem, Israel
| | - Jeremy D Kark
- Epidemiology Unit, Hebrew University-Hadassah Braun School of Public Health and Community Medicine, Ein Kerem, Jerusalem, Israel
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25
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Abdelhafiz AH, Sinclair AJ. Cognitive Frailty in Older People with Type 2 Diabetes Mellitus: the Central Role of Hypoglycaemia and the Need for Prevention. Curr Diab Rep 2019; 19:15. [PMID: 30806826 DOI: 10.1007/s11892-019-1135-4] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
PURPOSE OF REVIEW To highlight the central role of hypoglycaemia in the causation of cognitive frailty and explore ways of recognition and prevention of hypoglycaemia. RECENT FINDINGS Cognitive frailty is an emerging new concept defined as the concomitant presence of physical frailty and cognitive impairment. In older people with diabetes, cognitive frailty is associated with an increased risk of mortality greater than from either physical frailty or cognitive impairment alone. Hypoglycaemia is directly associated with increased risk of cognitive impairment and physical frailty which are the two components of cognitive frailty. The incidence of hypoglycaemia in older people with diabetes is rising and hypoglycaemia-related hospitalisation has overtaken that of hyperglycaemia. Recognition of hypoglycaemic episodes in old age remains challenging which leads to misdiagnoses and under-reporting. Therefore, hypoglycaemia prevention strategies are needed. Research is still required to investigate whether prevention of hypoglycaemia would lead to a reduction in the incidence of cognitive frailty.
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Affiliation(s)
- A H Abdelhafiz
- Department of Geriatric Medicine, Rotherham General Hospital, Moorgate Road, Rotherham, S60 2UD, UK.
| | - A J Sinclair
- Foundation for Diabetes Research in Older People, Diabetes Frail Ltd, Droitwich Spa, WR9 0QH, UK
- Kings College, London, SE1 9NH, UK
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26
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Wong ES, Yoon J, Piegari RI, Rosland AMM, Fihn SD, Chang ET. Identifying Latent Subgroups of High-Risk Patients Using Risk Score Trajectories. J Gen Intern Med 2018; 33:2120-2126. [PMID: 30225769 PMCID: PMC6258600 DOI: 10.1007/s11606-018-4653-x] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2017] [Revised: 07/02/2018] [Accepted: 08/22/2018] [Indexed: 12/31/2022]
Abstract
OBJECTIVE Many healthcare systems employ population-based risk scores to prospectively identify patients at high risk of poor outcomes, but it is unclear whether single point-in-time scores adequately represent future risk. We sought to identify and characterize latent subgroups of high-risk patients based on risk score trajectories. STUDY DESIGN Observational study of 7289 patients discharged from Veterans Health Administration (VA) hospitals during a 1-week period in November 2012 and categorized in the top 5th percentile of risk for hospitalization. METHODS Using VA administrative data, we calculated weekly risk scores using the validated Care Assessment Needs model, reflecting the predicted probability of hospitalization. We applied the non-parametric k-means algorithm to identify latent subgroups of patients based on the trajectory of patients' hospitalization probability over a 2-year period. We then compared baseline sociodemographic characteristics, comorbidities, health service use, and social instability markers between identified latent subgroups. RESULTS The best-fitting model identified two subgroups: moderately high and persistently high risk. The moderately high subgroup included 65% of patients and was characterized by moderate subgroup-level hospitalization probability decreasing from 0.22 to 0.10 between weeks 1 and 66, then remaining constant through the study end. The persistently high subgroup, comprising the remaining 35% of patients, had a subgroup-level probability increasing from 0.38 to 0.41 between weeks 1 and 52, and declining to 0.30 at study end. Persistently high-risk patients were older, had higher prevalence of social instability and comorbidities, and used more health services. CONCLUSIONS On average, one third of patients initially identified as high risk stayed at very high risk over a 2-year follow-up period, while risk for the other two thirds decreased to a moderately high level. This suggests that multiple approaches may be needed to address high-risk patient needs longitudinally or intermittently.
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Affiliation(s)
- Edwin S Wong
- Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, 1660 S. Columbian Way, HSR&D MS S-152, Seattle, WA, 98108, USA. .,Department of Health Services, University of Washington, Seattle, WA, USA.
| | - Jean Yoon
- Health Economics Resource Center, VA Palo Alto Healthcare System, Livermore, CA, USA.,Department of General Internal Medicine, UCSF School of Medicine, San Francisco, CA, USA
| | - Rebecca I Piegari
- Office of Clinical Systems Development and Evaluation, Veterans Health Administration, Seattle, WA, USA
| | - Ann-Marie M Rosland
- Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA.,Department of Internal Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Stephan D Fihn
- Office of Clinical Systems Development and Evaluation, Veterans Health Administration, Seattle, WA, USA.,Department of Medicine, University of Washington, Seattle, WA, USA
| | - Evelyn T Chang
- Center for the Study of Healthcare Innovation, Implementation and Policy, VA Greater Los Angeles Health Care System, Los Angeles, CA, USA.,David Geffen School of Medicine, University of California, Los Angeles, CA, USA
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27
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Karpati T, Leventer-Roberts M, Feldman B, Cohen-Stavi C, Raz I, Balicer R. Patient clusters based on HbA1c trajectories: A step toward individualized medicine in type 2 diabetes. PLoS One 2018; 13:e0207096. [PMID: 30427908 PMCID: PMC6235308 DOI: 10.1371/journal.pone.0207096] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2018] [Accepted: 10/24/2018] [Indexed: 01/08/2023] Open
Abstract
Aims To identify clinically meaningful clusters of patients with similar glycated hemoglobin (HbA1c) trajectories among patients with type 2 diabetes. Methods A retrospective cohort study using unsupervised machine learning clustering methodologies to determine clusters of patients with similar longitudinal HbA1c trajectories. Stability of these clusters was assessed and supervised random forest analysis verified the clusters’ reproducibility. Clinical relevance of the clusters was assessed through multivariable analysis, comparing differences in risk for a composite outcome (macrovascular and microvascular outcomes, hypoglycemic events, and all-cause mortality) at HbA1c thresholds for each cluster. Results Among 60,423 patients, three clusters of HbA1c trajectories were generated: stable (n = 45,679), descending (n = 6,084), and ascending (n = 8,660) trends, which were reproduced with 99.8% accuracy using a random forest model. In the clinical relevance assessment, HbA1c levels demonstrated a J-shape association with the risk for outcomes. HbA1c level thresholds for minimizing outcomes’ risk differed by cluster: 6.0–6.4% for the stable cluster, <8.0% for the descending cluster, and <9.0 for the ascending cluster. Conclusions By applying unsupervised machine learning to longitudinal HbA1c trajectories, we have identified clusters of patients who have distinct risk for diabetes-related complications. These clusters can be the basis for developing individualized models to personalize glycemic targets.
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Affiliation(s)
- Tomas Karpati
- Clalit Research Institute, Tel Aviv, Israel
- * E-mail:
| | | | | | | | - Itamar Raz
- Israeli National Council of Diabetes, Jerusalem, Israel
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28
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A randomized clinical trial examining the impact of LGG probiotic supplementation on psychological status in middle-aged and older adults. Contemp Clin Trials Commun 2018; 12:192-197. [PMID: 30511028 PMCID: PMC6251018 DOI: 10.1016/j.conctc.2018.11.006] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2018] [Revised: 10/01/2018] [Accepted: 11/13/2018] [Indexed: 12/26/2022] Open
Abstract
Cognitive decline is common in older adults and more than 5 million Americans suffer from Alzheimer's disease (AD). A number of physiological processes including systemic inflammation, excess adiposity, and impaired glucoregulation arise from a combination of genetic and behavioral factors and increase risk for developing AD or other forms of dementia. Recent research suggests that the gut microbiome may moderate these pathological processes and possibly influence cognitive outcomes. This paper reviews the methodology for a double-blind, randomized clinical trial examining the influence of Lactobacillus GG (LGG) probiotic supplementation on mood and cognitive functioning in middle-aged and older adults. Our two primary hypotheses include: 1) Participants randomized to the probiotic group will show greater improvements in psychological status compared to participants in the placebo group; 2) Participants randomized to the probiotic group will show greater improvements in executive functioning and processing speed, as evidenced through performance on neuropsychological testing, than participants in the placebo group. We anticipate these results will inform future efforts on the feasibility of LGG probiotic supplementation as an intervention for psychological status and cognitive functioning and further elucidate the link between the gut microbiome and cognitive health.
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29
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Luo M, Tan KHX, Tan CS, Lim WY, Tai E, Venkataraman K. Longitudinal trends in HbA 1c patterns and association with outcomes: A systematic review. Diabetes Metab Res Rev 2018; 34:e3015. [PMID: 29663623 PMCID: PMC6175395 DOI: 10.1002/dmrr.3015] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2017] [Revised: 02/03/2018] [Accepted: 04/05/2018] [Indexed: 01/01/2023]
Abstract
BACKGROUND This study aimed to review studies that identified patterns of longitudinal HbA1c trends in patients with diabetes and to summarize factors and outcomes associated with distinct trajectory patterns. METHODS PubMed and Web of Science were systematically searched for studies examining HbA1c trends among patients with diabetes from database inception through September 2017. Articles were included if they met the following inclusion criteria: (a) longitudinal study of subjects with diabetes only, (b) use of serial measurements of HbA1c , and (c) analysis of the trend of HbA1c using group-based trajectory approaches. RESULTS Twenty studies were included, 11 on type 1 diabetes and 9 on type 2 diabetes. These studies identified 2 to 6 HbA1c trajectory patterns. The most commonly identified patterns included stable HbA1c around 7.0% and at levels between 8.0% and 9.9%, which usually captured the HbA1c pattern among the majority of subjects in the study population. Unstable patterns identified included increasing HbA1c trend, decreasing HbA1c trend, and non-linear patterns. These patterns were associated with differential risk of disease outcomes, over and beyond single-point HbA1c measures. Age, gender, ethnicity, diabetes duration, disease management frequency, cardiovascular risk factors, insulin treatment, family environment, and psychosocial factors were the most frequently reported factors associated with membership of specific HbA1c pattern groups. CONCLUSION Common patterns of longitudinal HbA1c trends were identified despite heterogeneity among the studies. A better understanding of what underlies these different patterns may provide opportunities to tailor therapies and care for these patients to reduce adverse outcomes.
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Affiliation(s)
- Miyang Luo
- Saw Swee Hock School of Public HealthNational University of SingaporeSingapore
| | | | - Chuen Seng Tan
- Saw Swee Hock School of Public HealthNational University of SingaporeSingapore
| | - Wei Yen Lim
- Saw Swee Hock School of Public HealthNational University of SingaporeSingapore
| | - E‐Shyong Tai
- Saw Swee Hock School of Public HealthNational University of SingaporeSingapore
- Division of EndocrinologyNational University HospitalSingapore
| | - Kavita Venkataraman
- Saw Swee Hock School of Public HealthNational University of SingaporeSingapore
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Ganmore I, Beeri MS. The chicken or the egg? Does glycaemic control predict cognitive function or the other way around? Diabetologia 2018; 61:1913-1917. [PMID: 30003308 DOI: 10.1007/s00125-018-4689-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2018] [Accepted: 06/25/2018] [Indexed: 02/07/2023]
Abstract
The association between type 2 diabetes and cognitive dysfunction is well established. Prevention of the development of type 2 diabetes and its complications, as well as cognitive dysfunction and dementia, are leading goals in these fields. Deciphering the causality direction of the interplay between type 2 diabetes and cognitive dysfunction, and understanding the timeline of disease progression, are crucial for developing efficient prevention strategies. The prevailing perception is that type 2 diabetes leads to cognitive dysfunction and dementia. There is substantial evidence showing that accelerated cognitive decline in type 2 diabetes starts in midlife (mean age 40-60 years) and that it may even begin at the prediabetes stage. However, in this issue of Diabetologia, Altschul et al (doi: https://doi.org/10.1007/s00125-018-4645-8 ) show evidence for the reverse causality hypothesis, i.e. that lower cognitive function precedes poor glycaemic control. They found that cognitive function at early adolescence (age 11 years) predicts both HbA1c levels and cognitive function at age 70 years. Moreover, they found that lower cognitive function at age 70 is associated with an increase in HbA1c from age 70 to 79 years. Based on these findings, future studies should explore whether developing prevention strategies that target young adolescents with lower cognitive function will result in prevention of type 2 diabetes, breaking the vicious cycle of type 2 diabetes and cognitive dysfunction.
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Affiliation(s)
- Ithamar Ganmore
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel-Hashomer, Ramat Gan, Israel
- Department of Neurology, Sheba Medical Center, Tel-Hashomer, Ramat Gan, Israel
- Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Michal Schnaider Beeri
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel-Hashomer, Ramat Gan, Israel.
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY, 10029, USA.
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31
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Impact of glycemic status on longitudinal cognitive performance in men with and without HIV infection. AIDS 2018; 32:1849-1860. [PMID: 29746300 DOI: 10.1097/qad.0000000000001842] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
OBJECTIVES To determine the relationship between glycemic status and cognitive performance in men living with HIV (MLWH) and without HIV infection. DESIGN A prospective HIV/AIDS cohort study in four US cities between 1999 and 2016. METHODS Glycemic status was categorized as normal glucose, impaired fasting glucose, controlled diabetes mellitus and uncontrolled diabetes mellitus at each semiannual visit. Cognitive performance was evaluated using nine neuropsychological tests which measure attention, constructional ability, verbal learning, executive functioning, memory and psychomotor speed. Linear mixed models were used to assess the association between glycemic status and cognition. RESULTS Overall, 900 MLWH and 1149 men without HIV were included. MLWH had significantly more person-visits with impaired fasting glucose (52.1 vs. 47.9%) and controlled diabetes mellitus (58.2 vs. 41.8%) than men without HIV (P < 0.05). Compared with men with normal glucose, men with diabetes mellitus had significantly poorer performance on psychomotor speed, executive function and verbal learning (all P < 0.05). There was no difference in cognition by HIV serostatus. The largest effect was observed in individuals with uncontrolled diabetes mellitus throughout the study period, equivalent to 16.5 and 13.4 years of aging on psychomotor speed and executive function, respectively, the effect of which remained significant after adjusting for HIV-related risk factors. Lower CD4+ nadir was also associated with worse cognitive performance. CONCLUSION Abnormalities in glucose metabolism were more common among MLWH than men without HIV and were related to impaired cognitive performance. Metabolic status, along with advanced age and previous immunosuppression, may be important predictors of cognition in the modern antiretroviral therapy era.
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Abstract
This study aimed to assess cognition in patients with severe sepsis or septic shock and whether cognitive impairment was associated with clinical and laboratory parameters. We conducted a cohort study of patients with severe sepsis and septic shock evaluated within 24 h and one year after ICU discharge. Demographic, clinical and laboratory data were analyzed, and the following neuropsychological tests were applied: Consortium to Establish Registry for Alzheimer’s Disease, Mini-Mental State Examination, and Trail Making Test forms A and B. We included 33 patients, mean age of 49, 19% were female. Patients underperformed on most measures 24 h after ICU discharge, with improvement on follow-up. IQCODE, APACHE II scores, NSE and IFN-γ levels at ICU discharge were associated with poor cognitive performance, while higher educational level was associated with good cognitive performance. The time to first antibiotic dose, accumulated dose of haloperidol during UCI stay and mean glycemia were also associated with poor cognitive outcome. In general, patients with severe sepsis or septic shock have cognitive impairment that can improve over time. This improvement was associated with factors identified during their ICU stay, such as cognitive reserve, educational level, mean glycemia during ICU stay and NSE level.
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Li W, Huang E. An Update on Type 2 Diabetes Mellitus as a Risk Factor for Dementia. J Alzheimers Dis 2018; 53:393-402. [PMID: 27163819 DOI: 10.3233/jad-160114] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
With the rapidly expanding evidence on brain structural and functional changes in type 2 diabetes mellitus (T2DM) patients, there is an increasing need to update our understanding on how T2DM associates with dementia as well as the underlying pathophysiological mechanisms. A literature search of T2DM and dementia or cognition impairments was carried out in electronic databases Medline, EMBASE, and Google Scholar. In this review, the chosen evidence was limited to human subject studies only, and data on either type 1 diabetes mellitus (T1DM) or non-classified diabetes were excluded. T2DM is a risk factor for both vascular dementia (VaD) and Alzheimer's disease (AD), although AD pathological marker studies have not provided sufficient evidence. T2DM interacts additively or synergistically with many factors, including old age, hypertension, total cholesterol, and APOEɛ4 carrier status for impaired cognition functions seen in patients with T2DM. In addition, comorbid T2DM can worsen the clinical presentations of patients with either AD or VaD. In summary, T2DM increases the risk for AD through different mechanisms for VaD although some mechanisms may overlap. Tau-related neurofibrillary tangles instead of amyloid-β plaques are more likely to be the pathological biomarkers for T2DM-related dementia. Degeneration of neurons in the brain, impaired regional blood supply/metabolism, and genetic predisposition are all involved in T2DM-associated dementia or cognitive impairments.
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Affiliation(s)
- Wei Li
- Master of Physician Assistant Studies, School of Health and Rehabilitation Sciences, Indiana University-Purdue University Indianapolis, Indianapolis, IN, USA
| | - Edgar Huang
- School of Informatics and Computing, Indiana University-Purdue University Indianapolis, Indianapolis, IN, USA
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Noureldein MH, Eid AA. Homeostatic effect of laughter on diabetic cardiovascular complications: The myth turned to fact. Diabetes Res Clin Pract 2018; 135:111-119. [PMID: 29162513 DOI: 10.1016/j.diabres.2017.11.014] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2017] [Revised: 07/04/2017] [Accepted: 11/10/2017] [Indexed: 12/13/2022]
Abstract
AIMS Laughter has been used for centuries to alleviate pain in morbid conditions. It was not until 1976 that scientists thought about laughter as a form of therapy that can modulate hormonal and immunological parameters that affect the outcome of many serious diseases. Moreover, laughter therapy was shown to be beneficial in type 2 diabetes mellitus (T2DM) by delaying the onset of many diabetic complications. Laughter is also described to influence the cardiovascular and endothelial functions and thus may protect against diabetic cardiovascular complications. In this review, we outline the different biochemical, physiological and immunological mechanisms by which laughter may influence the overall state of wellbeing and enhance disease prognosis. We also focus on the biological link between laughter therapy and diabetic cardiovascular complications as well as the underlying mechanisms involved in T2DM. METHODS Reviewing all the essential databases for "laughter" and "type 2 diabetes mellitus". RESULTS Although laughter therapy is still poorly investigated, recent studies show that laughter may retard the onset of diabetic complications, enhance cardiovascular functions and rectify homeostatic abnormalities associated with T2DM. CONCLUSIONS Laughter therapy is effective in delaying diabetic complications and should be used as an adjuvant therapy.
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Affiliation(s)
- Mohamed H Noureldein
- Department of Anatomy, Cell Biology and Physiological Sciences, Faculty of Medicine and Medical Center, American University of Beirut, Beirut, Lebanon; Biochemistry Department, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt.
| | - Assaad A Eid
- Department of Anatomy, Cell Biology and Physiological Sciences, Faculty of Medicine and Medical Center, American University of Beirut, Beirut, Lebanon.
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Luo M, Lim WY, Tan CS, Ning Y, Chia KS, van Dam RM, Tang WE, Tan NC, Chen R, Tai ES, Venkataraman K. Longitudinal trends in HbA1c and associations with comorbidity and all-cause mortality in Asian patients with type 2 diabetes: A cohort study. Diabetes Res Clin Pract 2017; 133:69-77. [PMID: 28898713 DOI: 10.1016/j.diabres.2017.08.013] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2017] [Revised: 08/07/2017] [Accepted: 08/17/2017] [Indexed: 02/01/2023]
Abstract
AIMS This study examined longitudinal trends in HbA1c in a multi-ethnic Asian cohort of diabetes patients, and the associations of these trends with future risk of acute myocardial infarction (AMI), stroke, end stage renal failure (ESRD) and all-cause mortality. METHODS 6079 participants with type 2 diabetes mellitus in Singapore were included. HbA1c measurements for the five years previous to recruitment were used to identify patterns of HbA1c trends. Outcomes were recorded through linkage with the National Disease Registry. The median follow-up for longitudinal trends in HbA1c was 4.1years and for outcomes was between 7.0 and 8.3years. HbA1c patterns were identified using latent class growth modeling, and associations with outcomes were analyzed using Cox proportional hazards models. RESULTS Four distinct HbA1c patterns were observed; "low-stable" (72·2%), "moderate-stable" (22·0%), "moderate-increase" (2·9%), and "high-decrease" (2·8%). The risk of comorbidities and death was significantly higher in moderate-increase and high-decrease groups compared to the low-stable group; the hazard ratios for stroke, ESRD, and death for moderate increase group were 3.22 (95%CI 1.27-8.15), 4.76 (95%CI 1.92-11.83), and 1.88 (95%CI 1.15-3.07), respectively, and for high-decrease group were 2.16 (95%CI 1.02-4.57), 3.05 (95%CI 1.54-6.07), and 2.79 (95%CI 1.97-3.95), respectively. Individuals in the moderate-increase group were significantly younger, with longer diabetes duration, and greater proportions of Malays and Indians. CONCLUSIONS Deteriorating HbA1c pattern and extremely high initial HbA1c are associated with increased risk of long-term comorbidities and death. Therapeutic interventions to alter longitudinal HbA1c trends may be helpful in reducing this risk.
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Affiliation(s)
- Miyang Luo
- Saw Swee Hock School of Public Health, National University of Singapore, Tahir Foundation Building, 12 Science Drive 2, 117549, Singapore
| | - Wei Yen Lim
- Saw Swee Hock School of Public Health, National University of Singapore, Tahir Foundation Building, 12 Science Drive 2, 117549, Singapore
| | - Chuen Seng Tan
- Saw Swee Hock School of Public Health, National University of Singapore, Tahir Foundation Building, 12 Science Drive 2, 117549, Singapore
| | - Yilin Ning
- Yong Loo Lin School of Medicine, National University of Singapore, NUHS Tower Block, Level 11, 1E Kent Ridge Road, 119228, Singapore; NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore
| | - Kee Seng Chia
- Saw Swee Hock School of Public Health, National University of Singapore, Tahir Foundation Building, 12 Science Drive 2, 117549, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, NUHS Tower Block, Level 11, 1E Kent Ridge Road, 119228, Singapore
| | - Rob M van Dam
- Saw Swee Hock School of Public Health, National University of Singapore, Tahir Foundation Building, 12 Science Drive 2, 117549, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, NUHS Tower Block, Level 11, 1E Kent Ridge Road, 119228, Singapore; National University Health System, 1E Kent Ridge Rd, 119228, Singapore
| | - Wern Ee Tang
- National Healthcare Group Polyclinics, 3 Fusionopolis Link, Nexus@one-north South Tower, # 05-10, 138543, Singapore
| | - Ngiap Chuan Tan
- Singhealth Polyclinics, 167 Jalan Bukit Merah Tower 5, #15-10, 150167, Singapore
| | - Richard Chen
- Changi General Hospital, 2 Simei Street 3, 529889, Singapore
| | - E Shyong Tai
- Saw Swee Hock School of Public Health, National University of Singapore, Tahir Foundation Building, 12 Science Drive 2, 117549, Singapore; Division of Endocrinology, National University Hospital, 5 Lower Kent Ridge Rd, 119074, Singapore
| | - Kavita Venkataraman
- Saw Swee Hock School of Public Health, National University of Singapore, Tahir Foundation Building, 12 Science Drive 2, 117549, Singapore.
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Abstract
The relationship between obesity and cognitive impairment is important given the globally ageing population in whom cognitive decline and neurodegenerative disorders will carry grave individual, societal and financial burdens. This review examines the evidence for the link between obesity and cognitive function in terms of both the immediate effects on cognitive performance, and effects on the trajectory of cognitive ageing and likelihood of dementia. In mid-life, there is a strong association between obesity and impaired cognitive function. Anthropometric measures of obesity are also associated with reduced neural integrity (e.g. grey and white matter atrophy). Increasing age coupled with the negative metabolic consequences of obesity (e.g. type 2 diabetes mellitus) are likely to significantly contribute to cognitive decline and incidence of dementia. Stress is identified as a potential risk factor promoting abdominal obesity and contributing to impaired cognitive function. However, the potentially protective effects of obesity against cognitive decline in older age require further examination. Finally, surgical and whole diet interventions, which address obesity may improve cognitive capacity and confer some protection against later cognitive decline. In conclusion, obesity and its comorbidities are associated with impaired cognitive performance, accelerated cognitive decline and neurodegenerative pathologies such as dementia in later life. Interventions targeting mid-life obesity may prove beneficial in reducing the cognitive risks associated with obesity.
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Quartuccio M, Buta B, Kalyani RR. Comparative Effectiveness for Glycemic Control in Older Adults with Diabetes. CURRENT GERIATRICS REPORTS 2017; 6:175-186. [PMID: 28920012 PMCID: PMC5585298 DOI: 10.1007/s13670-017-0215-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
PURPOSE OF REVIEW To review and summarize the current data for comparative effectiveness of glycemic control in older adults. RECENT FINDINGS In the last several years, professional societies have released guidelines for glycemic control in older adults, generally recommending individualized HbA1c goals. However, recent observational studies demonstrate that many older adults remain aggressively managed and are at increased risk of hypoglycemia. Large randomized trials of older adults with diabetes have failed to show cardiovascular benefit from intensive glycemic control and show only minimal microvascular benefit. Additionally, a few studies suggest that suboptimal glycemic control can increase the risk for geriatric syndromes. Emerging research suggests similar safety and efficacy of glucose-lowering therapies in older versus younger adults. SUMMARY Overall, there is a paucity of data supporting the benefit of intensive glycemic control in older adults. More research is needed in this vulnerable population.
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Affiliation(s)
- Michael Quartuccio
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, 1830 East Monument Street, Suite 333, Baltimore, MD 21287 USA
| | - Brian Buta
- Department of Medicine, Johns Hopkins University, Baltimore, MD USA
- Center on Aging and Health, Johns Hopkins Medical Institutions, Baltimore, MD USA
| | - Rita Rastogi Kalyani
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, 1830 East Monument Street, Suite 333, Baltimore, MD 21287 USA
- Center on Aging and Health, Johns Hopkins Medical Institutions, Baltimore, MD USA
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38
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Li TC, Yang CP, Tseng ST, Li CI, Liu CS, Lin WY, Hwang KL, Yang SY, Chiang JH, Lin CC. Visit-to-Visit Variations in Fasting Plasma Glucose and HbA 1c Associated With an Increased Risk of Alzheimer Disease: Taiwan Diabetes Study. Diabetes Care 2017; 40:1210-1217. [PMID: 28705834 DOI: 10.2337/dc16-2238] [Citation(s) in RCA: 55] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2016] [Accepted: 06/19/2017] [Indexed: 02/03/2023]
Abstract
OBJECTIVE The relationship between glycemic variability and the incidence of Alzheimer disease (AD) in patients with type 2 diabetes mellitus (T2DM) is unclear. The aim of this study was to examine visit-to-visit variations in fasting plasma glucose (FPG) and glycated hemoglobin (HbA1c) represented by the coefficient of variation (CV) and to determine whether they were independently associated with AD, irrespective of HbA1c and other traditional risk factors in such patients. RESEARCH DESIGN AND METHODS Patients with T2DM enrolled in the National Diabetes Care Management Program, age ≥60 years, and without diagnosis of AD (n = 16,706) were included in the study. Potential risk factors were analyzed using extended Cox proportional hazards regression models for competing risk of mortality on AD incidence. RESULTS During a median follow-up of 8.88 years, 831 incident cases of AD were identified, with a crude incidence rate of 3.5/1,000 person-years. After adjustment for sociodemographic factors, lifestyle behaviors, diabetes-related variables, FPG and HbA1c, drug-related variables, and comorbidities, both FPG CV and HbA1c CV were found to be significant predictors of AD, with corresponding hazard ratios of 1.27 (95% CI 1.06-1.52) for the third tertile in FPG CV and 1.32 (95% CI 1.11-1.58) for the third tertile in HbA1c CV. CONCLUSIONS FPG CV and HbA1c CV are independently associated with AD. The associations between glycemic variability and AD demonstrated in this study suggest a linked pathophysiological mechanism, which is worthy of further investigation. Further research is required to confirm our results and to evaluate whether FPG CV and HbA1c CV can be valuable therapeutic targets for patients with T2DM at risk.
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Affiliation(s)
- Tsai-Chung Li
- Department of Public Health, College of Public Health, China Medical University, Taichung, Taiwan.,Department of Healthcare Administration, College of Medical and Health Science, Asia University, Taichung, Taiwan
| | - Chun-Pai Yang
- Department of Neurology, Kuang Tien General Hospital, Taichung, Taiwan.,Department of Nutrition, Hungkuang University, Taichung, Taiwan
| | - Shih-Ting Tseng
- Department of Food and Nutrition, Providence University, Taichung, Taiwan.,Department of Endocrinology and Metabolism, Kuang Tien General Hospital, Taichung, Taiwan
| | - Chia-Ing Li
- Department of Medical Research, China Medical University Hospital, Taichung, Taiwan.,School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan
| | - Chiu-Shong Liu
- Department of Medical Research, China Medical University Hospital, Taichung, Taiwan.,School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan.,Department of Family Medicine, China Medical University Hospital, Taichung, Taiwan
| | - Wen-Yuan Lin
- School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan.,Department of Family Medicine, China Medical University Hospital, Taichung, Taiwan
| | - Kai-Lin Hwang
- Department of Public Health, Chung Shan Medical University, Taichung, Taiwan
| | - Sing-Yu Yang
- Department of Public Health, College of Public Health, China Medical University, Taichung, Taiwan
| | - Jen-Huai Chiang
- Management Office for Health Data, China Medical University Hospital, Taichung, Taiwan
| | - Cheng-Chieh Lin
- Department of Medical Research, China Medical University Hospital, Taichung, Taiwan .,School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan.,Department of Family Medicine, China Medical University Hospital, Taichung, Taiwan
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Song J, Whitcomb DJ, Kim BC. The role of melatonin in the onset and progression of type 3 diabetes. Mol Brain 2017; 10:35. [PMID: 28764741 PMCID: PMC5539639 DOI: 10.1186/s13041-017-0315-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2017] [Accepted: 07/12/2017] [Indexed: 02/06/2023] Open
Abstract
Alzheimer’s disease (AD) is defined by the excessive accumulation of toxic peptides, such as beta amyloid (Aβ) plaques and intracellular neurofibrillary tangles (NFT). The risk factors associated with AD include genetic mutations, aging, insulin resistance, and oxidative stress. To date, several studies that have demonstrated an association between AD and diabetes have revealed that the common risk factors include insulin resistance, sleep disturbances, blood brain barrier (BBB) disruption, and altered glucose homeostasis. Many researchers have discovered that there are mechanisms common to both diabetes and AD. AD that results from insulin resistance in the brain is termed “type 3 diabetes”. Melatonin synthesized by the pineal gland is known to contribute to circadian rhythms, insulin resistance, protection of the BBB, and cell survival mechanisms. Here, we review the relationship between melatonin and type 3 diabetes, and suggest that melatonin might regulate the risk factors for type 3 diabetes. We suggest that melatonin is crucial for attenuating the onset of type 3 diabetes by intervening in Aβ accumulation, insulin resistance, glucose metabolism, and BBB permeability.
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Affiliation(s)
- Juhyun Song
- Department of Biomedical Sciences, Center for Creative Biomedical Scientists at Chonnam National University, Gwangju, 61469, South Korea
| | - Daniel J Whitcomb
- Henry Wellcome Laboratories for Integrative Neuroscience and Endocrinology, School of Clinical Sciences, Faculty of Healthy Sciences, University of Bristol, Whitson street, Bristol, BS1 3NY, UK
| | - Byeong C Kim
- Department of Neurology, Chonnam National University Medical School, Gwangju, 61469, South Korea.
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McEwan P, Bennett H, Qin L, Bergenheim K, Gordon J, Evans M. An alternative approach to modelling HbA1c trajectories in patients with type 2 diabetes mellitus. Diabetes Obes Metab 2017; 19:628-634. [PMID: 28026908 DOI: 10.1111/dom.12865] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2016] [Revised: 12/21/2016] [Accepted: 12/21/2016] [Indexed: 11/30/2022]
Abstract
AIMS Time-dependent HbA1c trajectories in health economic models of type 2 diabetes mellitus (T2DM) are typically informed by the UK Prospective Diabetes Study (UKPDS). However, this approach may not accurately predict HbA1c progression in patients who do not conform to the demographic profile of the original UKPDS cohort. This study aimed to develop an alternative mathematical model (MM) to simulate HbA1c progression in T2DM. MATERIALS AND METHODS A systematic literature review identified studies, published between 2005 and 2015, that reported HbA1c in adult T2DM patients over a minimum duration of 18 months. Pooled data from eligible studies were used to develop an alternative MM equation for HbA1c progression, which was then contrasted with the UKPDS 68 progression equation in illustrative scenarios. RESULTS A total of 68 studies were eligible for data extraction (mean follow-up time 4.1 years). HbA1c progression was highly heterogeneous across studies, varying with baseline HbA1c, treatment group and patient age. The MM equation was fitted with parameters for mean baseline HbA1c (8.3%), initial change in HbA1c (-0.62%) and upper quartile of maximum observed HbA1c (9.3%). Differences in HbA1c trajectories between the MM and UKPDS approaches altered the timing of therapy escalation in illustrative scenarios. CONCLUSIONS The MM represents an alternative approach to simulate HbA1c trajectories in T2DM models, as UKPDS data may not adequately reflect the heterogeneity of HbA1c profiles observed in clinical studies. However, the choice of approach should ultimately be determined by the characteristics of individual patients under consideration and the clinical face validity of the modelled trajectories.
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Affiliation(s)
- Phil McEwan
- Health Economics and Outcomes Research Ltd, Cardiff, UK
- Swansea Centre for Health Economics, Swansea University, Swansea, UK
| | | | - Lei Qin
- Global Health Economics and Payer Analytics, AstraZeneca, Gaithersburg, Maryland
| | - Klas Bergenheim
- Global Health Economics and Payer Analytics, AstraZeneca, Gothenburg, Sweden
| | - Jason Gordon
- Health Economics and Outcomes Research Ltd, Cardiff, UK
- School of Medicine, University of Nottingham, Nottingham, UK
| | - Marc Evans
- University Hospital Llandough, Cardiff, UK
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Kinoshita T, Shimoda M, Sanada J, Fushimi Y, Hirata Y, Irie S, Tanabe A, Obata A, Kimura T, Hirukawa H, Kohara K, Tatsumi F, Kamei S, Nakanishi S, Mune T, Kaku K, Kaneto H. Association of GA/HbA1c ratio and cognitive impairment in subjects with type 2 diabetes mellitus. J Diabetes Complications 2016; 30:1452-1455. [PMID: 27591029 DOI: 10.1016/j.jdiacomp.2016.08.008] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2016] [Revised: 08/02/2016] [Accepted: 08/03/2016] [Indexed: 11/30/2022]
Abstract
AIMS The aim of this study was to search for factors influencing cognitive impairment and to clarify the association between the fluctuation of blood glucose levels and cognitive impairment in elderly Japanese subjects with type 2 diabetes. METHODS We recruited 88 relatively elderly subjects (≥65years old) with type 2 diabetes who were hospitalized in Kawasaki Medical School from January 2014 to December 2015. We evaluated the fluctuation of blood glucose levels with glycoalbumin (GA)/hemoglobin A1c (HbA1c) ratio, and estimated cognitive impairment with Hasegawa dementia scale-revised (HDS-R) score and mini mental state examination (MMSE) score. RESULTS Multivariate analyses showed that GA/HbA1c ratio and urinary albumin excretion, but not hypoglycemia, were independent determinant factors for cognitive impairment in elderly Japanese subjects with type 2 diabetes. CONCLUSIONS The fluctuation of blood glucose levels per se is closely associated with cognitive impairment in elderly subjects with type 2 diabetes even when hypoglycemia is not accompanied. Since it is very easy to calculate GA/HbA1c ratio, we should check this ratio so that we can reduce the fluctuation of blood glucose levels especially in elderly subjects with type 2 diabetes.
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Affiliation(s)
- Tomoe Kinoshita
- Department of Diabetes, Endocrinology and Metabolism, Kawasaki Medical School
| | - Masashi Shimoda
- Department of Diabetes, Endocrinology and Metabolism, Kawasaki Medical School
| | - Junpei Sanada
- Department of Diabetes, Endocrinology and Metabolism, Kawasaki Medical School
| | - Yoshiro Fushimi
- Department of Diabetes, Endocrinology and Metabolism, Kawasaki Medical School
| | - Yurie Hirata
- Department of Diabetes, Endocrinology and Metabolism, Kawasaki Medical School
| | - Shintaro Irie
- Department of Diabetes, Endocrinology and Metabolism, Kawasaki Medical School
| | - Akihito Tanabe
- Department of Diabetes, Endocrinology and Metabolism, Kawasaki Medical School
| | - Atsushi Obata
- Department of Diabetes, Endocrinology and Metabolism, Kawasaki Medical School
| | - Tomohiko Kimura
- Department of Diabetes, Endocrinology and Metabolism, Kawasaki Medical School
| | - Hidenori Hirukawa
- Department of Diabetes, Endocrinology and Metabolism, Kawasaki Medical School
| | - Kenji Kohara
- Department of Diabetes, Endocrinology and Metabolism, Kawasaki Medical School
| | - Fuminori Tatsumi
- Department of Diabetes, Endocrinology and Metabolism, Kawasaki Medical School
| | - Shinji Kamei
- Department of Diabetes, Endocrinology and Metabolism, Kawasaki Medical School
| | - Shuhei Nakanishi
- Department of Diabetes, Endocrinology and Metabolism, Kawasaki Medical School
| | - Tomoatsu Mune
- Department of Diabetes, Endocrinology and Metabolism, Kawasaki Medical School
| | - Kohei Kaku
- Department of Diabetes, Endocrinology and Metabolism, Kawasaki Medical School
| | - Hideaki Kaneto
- Department of Diabetes, Endocrinology and Metabolism, Kawasaki Medical School.
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Pugazhenthi S, Qin L, Reddy PH. Common neurodegenerative pathways in obesity, diabetes, and Alzheimer's disease. Biochim Biophys Acta Mol Basis Dis 2016; 1863:1037-1045. [PMID: 27156888 DOI: 10.1016/j.bbadis.2016.04.017] [Citation(s) in RCA: 407] [Impact Index Per Article: 50.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2016] [Revised: 04/28/2016] [Accepted: 04/29/2016] [Indexed: 12/16/2022]
Abstract
Cognitive decline in chronic diabetic patients is a less investigated topic. Diabetes and obesity are among the modifiable risk factors for Alzheimer's disease (AD), the most common form of dementia. Studies have identified several overlapping neurodegenerative mechanisms, including oxidative stress, mitochondrial dysfunction, and inflammation that are observed in these disorders. Advanced glycation end products generated by chronic hyperglycemia and their receptor RAGE provide critical links between diabetes and AD. Peripheral inflammation observed in obesity leads to insulin resistance and type 2 diabetes. Although the brain is an immune-privileged organ, cross-talks between peripheral and central inflammation have been reported. Damage to the blood brain barrier (BBB) as seen with aging can lead to infiltration of immune cells into the brain, leading to the exacerbation of central inflammation. Neuroinflammation, which has emerged as an important cause of cognitive dysfunction, could provide a central mechanism for aging-associated ailments. To further add to these injuries, adult neurogenesis that provides neuronal plasticity is also impaired in the diabetic brain. This review discusses these molecular mechanisms that link obesity, diabetes and AD. This article is part of a Special Issue entitled: Oxidative Stress and Mitochondrial Quality in Diabetes/Obesity and Critical Illness Spectrum of Diseases - edited by P. Hemachandra Reddy.
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Affiliation(s)
- Subbiah Pugazhenthi
- Section of Endocrinology, Veterans Affairs Medical Center, Denver, CO, USA; Department of Medicine, University of Colorado - Denver, Aurora, CO, USA.
| | - Limei Qin
- Section of Endocrinology, Veterans Affairs Medical Center, Denver, CO, USA
| | - P Hemachandra Reddy
- Garrison Institute on Aging, Texas Tech University Health Sciences Center, Lubbock, TX, USA
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Lauridsen MM, Poulsen L, Rasmussen CK, Høgild M, Nielsen MK, de Muckadell OBS, Vilstrup H. Effects of common chronic medical conditions on psychometric tests used to diagnose minimal hepatic encephalopathy. Metab Brain Dis 2016; 31:267-72. [PMID: 26435407 DOI: 10.1007/s11011-015-9741-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2015] [Accepted: 09/24/2015] [Indexed: 02/03/2023]
Abstract
Many chronic medical conditions are accompanied by cognitive disturbances but these have only to a very limited extent been psychometrically quantified. An exception is liver cirrhosis where hepatic encephalopathy is an inherent risk and mild forms are diagnosed by psychometric tests. The preferred diagnostic test battery in cirrhosis is often the Continuous Reaction Time (CRT) and the Portosystemic Encephalopathy (PSE) tests but the effect on these of other medical conditions is not known. We aimed to examine the effects of common chronic (non-cirrhosis) medical conditions on the CRT and PSE tests. We studied 15 patients with heart failure (HF), 15 with end stage renal failure (ESRF), 15 with dysregulated type II diabetes (DMII), 15 with chronic obstructive pulmonary disease (COPD), and 15 healthy persons. We applied the CRT test, which is a 10-min computerized test measuring sustained attention and reaction time stability and the PSE test, which is a paper-pencil test battery consisting of 5 subtests. We found that a high fraction of the patients with HF (8/15, 0.002) or COPD (7/15, p = 0.006) had pathological CRT test results; and COPD patients also frequently had an abnormal PSE test result (6/15, p < 0.0001). Both tests were unaffected by ESRF and DMII. Half of the patients with HF or COPD had psychometrically measurable cognitive deficits, whereas those with ESRF or DMII had not. This adds to the understanding of the clinical consequences of chronic heart- and lung disease, and implies that the psychometric tests should be interpreted with great caution in cirrhosis patients with heart- or lung comorbidity.
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Affiliation(s)
- M M Lauridsen
- Department of Gastroenterology, Hospital of South West Jutland, Finsensgade 35, 6700, Esbjerg, Denmark.
| | - L Poulsen
- Department of Gastroenterology, Hospital of South West Jutland, Finsensgade 35, 6700, Esbjerg, Denmark
| | - C K Rasmussen
- Department of Gastroenterology, Hospital of South West Jutland, Finsensgade 35, 6700, Esbjerg, Denmark
| | - M Høgild
- Department of Gastroenterology, Hospital of South West Jutland, Finsensgade 35, 6700, Esbjerg, Denmark
| | - M K Nielsen
- Department of Gastroenterology, Hospital of South West Jutland, Finsensgade 35, 6700, Esbjerg, Denmark
| | | | - H Vilstrup
- Department of Hepatology and Gastroenterology, Aarhus University Hospital, Nørrebrogade 44, 8200, Aarhus, Denmark
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Anstey KJ, Sargent-Cox K, Eramudugolla R, Magliano DJ, Shaw JE. Association of cognitive function with glucose tolerance and trajectories of glucose tolerance over 12 years in the AusDiab study. ALZHEIMERS RESEARCH & THERAPY 2015; 7:48. [PMID: 26167206 PMCID: PMC4499451 DOI: 10.1186/s13195-015-0131-4] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/16/2014] [Accepted: 05/22/2015] [Indexed: 01/19/2023]
Abstract
Introduction We investigated the association between glucose tolerance status and trajectories of change in blood glucose, and cognitive function in adults aged 25 to 85. Methods The sample (n = 4547) was drawn from a national, population-based cohort study in Australia (AusDiab). Fasting plasma glucose (FPG), glycated haemoglobin (HbA1c) and general health were assessed at 0, 5 and 12 years. Covariates included age, education, body mass index, blood pressure and physical activity. At 12 years, participants completed assessments of memory, processing speed and verbal ability. Results Known diabetes at baseline was associated with slower processing speed at 12 years in both younger (25–59 years) and older (>60 years) age-groups. After 12 years of follow-up, adults aged < 60 with diabetes at baseline had a mean speed score of 49.17 (SE = 1.09) compared with 52.39 (SE = 0.20) in normals. Among younger males without diagnosed diabetes, reduced memory at 12 years was associated with higher HbA1c at 5 years (β = −0.91, SE = 0.26, p < 0.001). No effects were apparent for females or older males. Adjusting for insulin sensitivity (HOMA-%S) and hs-C reactive protein attenuated these associations, but depression and CVD risk did not. Latent class analysis was used to analyse the associations between trajectories of HbA1C and glucose over 12 years, and cognition. Identified classes were described as 1) normal and stable blood glucose over time (reference), 2) high intercept but stable blood glucose over time, and 3) increasing blood glucose over time. In both young males and females, high stable glucose measures were associated with poorer cognitive function after 12 years. Conclusion Those with type 2 diabetes, younger males with high non-diabetic HbA1c, and adults with high stable blood glucose are at increased risk of poorer cognition. The findings reinforce the need for management of diabetes risk factors in midlife. Electronic supplementary material The online version of this article (doi:10.1186/s13195-015-0131-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Kaarin J Anstey
- Centre for Research on Ageing, Health and Wellbeing, Australian National University, 54 Mills Road, Canberra, ACT 0200 Australia
| | - Kerry Sargent-Cox
- Centre for Research on Ageing, Health and Wellbeing, Australian National University, 54 Mills Road, Canberra, ACT 0200 Australia
| | - Ranmalee Eramudugolla
- Centre for Research on Ageing, Health and Wellbeing, Australian National University, 54 Mills Road, Canberra, ACT 0200 Australia
| | - Dianna J Magliano
- Baker IDI Heart and Diabetes Institute, PO Box 6492, Melbourne, Victoria 3004 Australia
| | - Jonathan E Shaw
- Baker IDI Heart and Diabetes Institute, PO Box 6492, Melbourne, Victoria 3004 Australia
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Feinkohl I, Price JF, Strachan MWJ, Frier BM. The impact of diabetes on cognitive decline: potential vascular, metabolic, and psychosocial risk factors. ALZHEIMERS RESEARCH & THERAPY 2015; 7:46. [PMID: 26060511 PMCID: PMC4460635 DOI: 10.1186/s13195-015-0130-5] [Citation(s) in RCA: 106] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/06/2014] [Accepted: 05/20/2015] [Indexed: 12/31/2022]
Abstract
Older people with type 2 diabetes are at increased risk of developing cognitive impairment, for which several potential risk factors have been proposed. The present article reviews evidence in people with type 2 diabetes for associations of cognitive impairment with a range of vascular, metabolic, and psychosocial risk factors, many of which have a higher prevalence in people with type 2 diabetes than in non-diabetic adults of a similar age. Definitive research studies in this field are few in number. The risk factors may be involved in causal pathways or may act as useful markers of cerebrovascular damage (or both), and for which relatively consistent evidence is available, include poor glycemic control, hypoglycemia, microvascular disease, inflammation, and depression. For macrovascular disease, the strength of the association with cognitive impairment appears to depend on which vascular system has been examined. A role for pre-morbid ability in young adulthood as influencing the risk of both diabetes and cognitive impairment has also been suggested. The importance of considering inter-relationships between risk factors when investigating their potential contribution to cognitive impairment in future investigations is discussed.
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Affiliation(s)
- Insa Feinkohl
- Centre for Population Health Sciences, Medical School, Teviot Place, Edinburgh, EH8 9AG Scotland UK
| | - Jackie F Price
- Centre for Population Health Sciences, Medical School, Teviot Place, Edinburgh, EH8 9AG Scotland UK
| | - Mark W J Strachan
- Metabolic Unit, Western General Hospital, Crewe Road South, Edinburgh, EH4 2XU Scotland UK
| | - Brian M Frier
- The Queen's Medical Research Institute, University of Edinburgh, College of Medical and Veterinary Medicine, 47 Little France Crescent, Edinburgh, EH16 4TJ Scotland UK
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Guerrero-Berroa E, Ravona-Springer R, Heymann A, Schmeidler J, Levy A, Leroith D, Beeri MS. Haptoglobin genotype modulates the relationships of glycaemic control with cognitive function in elderly individuals with type 2 diabetes. Diabetologia 2015; 58:736-44. [PMID: 25628235 PMCID: PMC4352385 DOI: 10.1007/s00125-014-3487-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2014] [Accepted: 12/08/2014] [Indexed: 10/24/2022]
Abstract
AIMS/HYPOTHESIS The purpose of this study was to investigate whether the association of glycaemic control with cognitive function is modulated by the haptoglobin 1-1 (Hp 1-1) genotype in cognitively normal elderly individuals with type 2 diabetes. METHODS In this cross-sectional study, we examined 793 participants who were genotyped for Hp (80 Hp 1-1 carriers and 713 Hp 1-1 non-carriers) enrolled in the Israel Diabetes and Cognitive Decline (IDCD) study. Glycaemic control was operationally defined by HbA1c level. The outcome measures were performance in four cognitive domains (episodic memory, attention/working memory, language/semantic categorisation, executive function) and overall cognition, a composite of the domains. Effect sizes were obtained from hierarchical linear regression analyses for each outcome measure, controlling for demographics, type 2 diabetes-related characteristics, cardiovascular risk factors, and their interactions with Hp genotype. RESULTS Interaction analyses showed significantly stronger associations of HbA1c with poorer cognitive function among Hp 1-1 carriers than non-carriers; attention/working memory (p < 0.001) and overall cognition (p = 0.003). For these two cognitive domains, associations were significant for Hp 1-1 carriers despite the small sample size (p < 0.00001 and p = 0.001, respectively), but not for non-carriers. CONCLUSIONS/INTERPRETATION Our findings suggest that patients with type 2 diabetes and poor glycaemic control carrying the Hp 1-1 genotype may be at increased risk of cognitive impairment, particularly in the attention/working memory domain. The association of glycaemic control with this domain may indicate cerebrovascular mechanisms.
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Geijselaers SLC, Sep SJS, Stehouwer CDA, Biessels GJ. Glucose regulation, cognition, and brain MRI in type 2 diabetes: a systematic review. Lancet Diabetes Endocrinol 2015; 3:75-89. [PMID: 25163604 DOI: 10.1016/s2213-8587(14)70148-2] [Citation(s) in RCA: 249] [Impact Index Per Article: 27.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Type 2 diabetes is associated with cognitive dysfunction and structural brain changes. Abnormalities in glucose regulation are involved in several complications related to type 2 diabetes, but their role in these cerebral complications is unclear. We systematically reviewed studies of the association between glucose regulation (glycaemia, hypoglycaemic events, insulin concentration, insulin resistance, and glucose-lowering treatment) and cognitive function and brain abnormalities on MRI in people with type 2 diabetes. The 86 papers included showed that glycaemia, particularly high HbA1c concentration and glucose variability, are negatively associated with cognitive function in people with type 2 diabetes without dementia. However, the strength of this association is weak, and HbA1c generally accounted for less than 10% of the variance in cognition. Importantly, few studies have measured long-term cerebral outcomes, such as dementia and structural brain changes on MRI, and the effect of glucose-lowering treatment on these outcomes. More randomised controlled trials are needed to establish the effect of glucose-lowering treatment on long-term cognitive function in people with type 2 diabetes.
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Affiliation(s)
- Stefan L C Geijselaers
- Department of Internal Medicine and Cardiovascular Research Institute, Maastricht University Medical Center, Maastricht, Netherlands
| | - Simone J S Sep
- Department of Internal Medicine and Cardiovascular Research Institute, Maastricht University Medical Center, Maastricht, Netherlands
| | - Coen D A Stehouwer
- Department of Internal Medicine and Cardiovascular Research Institute, Maastricht University Medical Center, Maastricht, Netherlands
| | - Geert Jan Biessels
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, Netherlands.
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Ravona-Springer R, Schnaider Beeri M. A spectrum of contributions of type 2 diabetes and related metabolic characteristics to dementia. Eur Neuropsychopharmacol 2014; 24:1945-6. [PMID: 25483324 PMCID: PMC5753418 DOI: 10.1016/j.euroneuro.2014.11.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Affiliation(s)
- Ramit Ravona-Springer
- Department of Psychiatry, Sheba Medical Center, Tel Hashomer, Israel; Sackler Faculty of Medicine, Tel Aviv University, Israel.
| | - Michal Schnaider Beeri
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Israel; Department of Psychiatry, Icahn School of Medicine, Mount Sinai, New York, USA
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