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Si SC, Yang W, Luo HY, Ma YX, Zhao H, Liu J. Cognitive decline in elderly patients with type 2 diabetes is associated with glycated albumin, ratio of Glycated Albumin to glycated hemoglobin, and concentrations of inflammatory and oxidative stress markers. Heliyon 2023; 9:e22956. [PMID: 38058429 PMCID: PMC10696244 DOI: 10.1016/j.heliyon.2023.e22956] [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: 04/09/2023] [Revised: 10/14/2023] [Accepted: 11/22/2023] [Indexed: 12/08/2023] Open
Abstract
Objective To investigate the correlations of cognitive function with glycated albumin (GA), the ratio of GA to glycated hemoglobin (GA/HbA1c), and the concentrations of interleukin-6 (IL-6) and superoxide dismutase (SOD) in elderly patients with type 2 diabetes mellitus (T2DM). Methods A total of 44 elderly T2DM patients were evaluated for cognitive function using the mini-mental state examination (MMSE) and the Montreal cognitive assessment (MoCA). Patients were then divided into two groups based on the MMSE and MoCA scores: a cognitive dysfunction group and a normal cognitive function group. The correlations of the MMSE and MoCA scores with GA/HbA1c, GA, IL-6, and SOD were analyzed. Logistic regression analysis was used to identify independent influential factors for cognitive dysfunction. The predictive value of GA and GA/HbA1c for cognitive dysfunction in elderly T2DM patients was evaluated by receiver operating characteristic (ROC) curve analysis. Results Among these patients, 28 had cognitive impairment. They had significantly higher GA/HbA1c, increased GA and IL-6 levels, and lower SOD concentrations than the normal cognitive function group (all P < 0.05). GA/HbA1c was negatively correlated with the MMSE (r = -0.430, P = 0.007) and MoCA (r = -0.432, P = 0.007) scores. SOD was positively correlated with the MMSE (r = 0.585, P=0.014) and MoCA (r = 0.635, P=0.006) scores. IL-6 was negatively correlated with the MoCA score (r = -0.421, P=0.015). Age and GA/HbA1c were independent factors contributing to cognitive dysfunction. The areas under the ROC curves of GA and GA/HbA1c for the diagnosis of cognitive dysfunction were 0.712 and 0.720, respectively. Conclusions GA and GA/HbA1c are related to cognitive dysfunction in elderly patients with T2DM.
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Affiliation(s)
| | - Wei Yang
- Corresponding author. Xuanwu Hospital, Capital Medical University, China National Clinical Research Center for Geriatric Medicine, No. 45 Changchun Road, Beijing 100053, China.
| | - Hong-Yu Luo
- Department of Geriatrics, Xuanwu Hospital, Capital Medical University, China National Clinical Research Center for Geriatric Medicine, Beijing 100053, China
| | - Yi-Xin Ma
- Department of Geriatrics, Xuanwu Hospital, Capital Medical University, China National Clinical Research Center for Geriatric Medicine, Beijing 100053, China
| | - Huan Zhao
- Department of Geriatrics, Xuanwu Hospital, Capital Medical University, China National Clinical Research Center for Geriatric Medicine, Beijing 100053, China
| | - Jia Liu
- Department of Geriatrics, Xuanwu Hospital, Capital Medical University, China National Clinical Research Center for Geriatric Medicine, Beijing 100053, China
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Du Y, Zhang Q, Zhang X, Song Y, Zheng J, An Y, Lu Y. Correlation between inflammatory biomarkers, cognitive function and glycemic and lipid profiles in patients with type 2 diabetes mellitus: A systematic review and meta-analysis. Clin Biochem 2023; 121-122:110683. [PMID: 37939987 DOI: 10.1016/j.clinbiochem.2023.110683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 11/04/2023] [Accepted: 11/05/2023] [Indexed: 11/10/2023]
Abstract
This study aimed to quantitatively estimate the correlation between systemic inflammation with cognitive function, as well as glycemic and lipid profiles in patients with type 2 diabetes mellitus (T2DM). The PubMed, Web of Science, EMBASE, SCOPUS, CNKI, Wanfang, VIP, and CBM databases were searched from its inception until June 2023 (PROSPERO registration: CRD42022356889). We analyzed data extracted from observational studies to quantify the correlations (r) as the pooled effect size and further performed subgroup analyses and sensitivity analyses. A total of 32 studies involving 7,483 patients with T2DM were included. The findings revealed a significant moderate negative correlation between interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), and C-reactive protein (CRP) levels with Montreal Cognitive Assessment scores. TNF-α levels also had moderate negative correlation with Mini-Mental State Examination scores. For glycemic and lipid profiles, there was a significant moderate positive correlation between CRP and TNF-α levels and glycated hemoglobin (HbA1c), and TNF-α levels were also found to be lowly positively correlated with fasting blood glucose (FBG). CRP levels were found to have a low positive correlation with total cholesterol (TC), and IL-6 levels were found to be lowly positively correlated with triglycerides. The results indicate that elevated levels of IL-6, CRP, and TNF-α are significantly associated with cognitive impairment in patients with T2DM and may serve as inflammatory markers for T2DM with mild cognitive impairment. The CRP and TNF-α levels were more strongly correlated with HbA1c than with FBG and TC. Further research is needed to determine the clinical value of these inflammatory biomarkers and to investigate potential causal mechanisms underlying this association.
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Affiliation(s)
- Yage Du
- School of Nursing, Peking University, Beijing 100191, China
| | - Qi Zhang
- School of Nursing, Peking University, Beijing 100191, China
| | - Xiaolan Zhang
- Department of Neurology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Ying Song
- School of Nursing, Peking University, Beijing 100191, China
| | - Jie Zheng
- School of Nursing, Peking University, Beijing 100191, China
| | - Yu An
- Endocrinology department, Beijing Chaoyang Hospital, Beijing 100020, China.
| | - Yanhui Lu
- School of Nursing, Peking University, Beijing 100191, China.
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HbA1c Variability and Cardiovascular Events in Patients with Prostate Cancer Receiving Androgen Deprivation Therapy. EUR UROL SUPPL 2022; 47:3-11. [PMID: 36601042 PMCID: PMC9806701 DOI: 10.1016/j.euros.2022.11.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/08/2022] [Indexed: 12/23/2022] Open
Abstract
Background Androgen deprivation therapy (ADT) worsens glycaemic control and cardiovascular outcomes. The prognostic value of visit-to-visit HbA1c variability (VVHV) has been unexplored in prostate cancer (PCa) patients receiving ADT. Objective To explore the effect of ADT on VVHV and the cardiovascular prognostic value of VVHV. Design setting and participants PCa patients receiving ADT in Hong Kong between January 1, 1993 and March 31, 2021 were included in this retrospective cohort study. Those with fewer than three HbA1c results available within 3 yr after ADT initiation, <6 mo of ADT, missing baseline HbA1c, prior diagnosis of any component of major adverse cardiovascular events (MACEs), and MACEs occurring within 3 yr were excluded. Patients were followed up until September 31, 2021. Outcome measurements and statistical analysis The outcome was MACEs (composite of heart failure, myocardial infarction, stroke, and cardiovascular mortality). VVHV was calculated from HbA1c levels within 3 yr after and, separately where available, before ADT initiation using coefficient of variation (CV; standard deviation [SD] divided by mean) and average real variability (ARV; average difference between consecutive measurements). Results and limitations Altogether, 1065 patients were analysed (median age 74.4 yr old [interquartile range 68.3-79.5 yr]). In 709 patients with VVHV available before and after ADT initiation, VVHV increased after ADT initiation (p < 0.001), with 473 (66.2%) and 474 (66.9%) having increased CV and ARV, respectively. Over a median follow-up of 4.3 yr (2.8-6.7 yr), higher VVHV was associated with a higher risk of MACEs (adjusted hazard ratio [per SD] for CV 1.21 [95% confidence interval: 1.02, 1.43], p = 0.029; ARV 1.25 [1.06, 1.48], p = 0.008). Limitations included residual confounding and selection bias. Conclusions In PCa patients receiving ADT, VVHV increased after ADT initiation. Higher VVHV was associated with an increased risk of MACEs. Patient summary In prostate cancer patients receiving androgen deprivation therapy (ADT), glycaemic control is less stable after initiating ADT, which was associated with an increased cardiovascular risk.
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Lee S, Zhou J, Wong WT, Liu T, Wu WKK, Wong ICK, Zhang Q, Tse G. Glycemic and lipid variability for predicting complications and mortality in diabetes mellitus using machine learning. BMC Endocr Disord 2021; 21:94. [PMID: 33947391 PMCID: PMC8097996 DOI: 10.1186/s12902-021-00751-4] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Accepted: 04/12/2021] [Indexed: 12/17/2022] Open
Abstract
INTRODUCTION Recent studies have reported that HbA1c and lipid variability is useful for risk stratification in diabetes mellitus. The present study evaluated the predictive value of the baseline, subsequent mean of at least three measurements and variability of HbA1c and lipids for adverse outcomes. METHODS This retrospective cohort study consists of type 1 and type 2 diabetic patients who were prescribed insulin at outpatient clinics of Hong Kong public hospitals, from 1st January to 31st December 2009. Standard deviation (SD) and coefficient of variation were used to measure the variability of HbA1c, total cholesterol, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) and triglyceride. The primary outcome is all-cause mortality. Secondary outcomes were diabetes-related complications. RESULT The study consists of 25,186 patients (mean age = 63.0, interquartile range [IQR] of age = 15.1 years, male = 50%). HbA1c and lipid value and variability were significant predictors of all-cause mortality. Higher HbA1c and lipid variability measures were associated with increased risks of neurological, ophthalmological and renal complications, as well as incident dementia, osteoporosis, peripheral vascular disease, ischemic heart disease, atrial fibrillation and heart failure (p < 0.05). Significant association was found between hypoglycemic frequency (p < 0.0001), HbA1c (p < 0.0001) and lipid variability against baseline neutrophil-lymphocyte ratio (NLR). CONCLUSION Raised variability in HbA1c and lipid parameters are associated with an elevated risk in both diabetic complications and all-cause mortality. The association between hypoglycemic frequency, baseline NLR, and both HbA1c and lipid variability implicate a role for inflammation in mediating adverse outcomes in diabetes, but this should be explored further in future studies.
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Affiliation(s)
- Sharen Lee
- Cardiovascular Analytics Group, Laboratory of Cardiovascular Physiology, Hong Kong, China
| | - Jiandong Zhou
- School of Data Science, City University of Hong Kong, Hong Kong, China
| | - Wing Tak Wong
- School of Life Sciences, Chinese University of Hong Kong, Hong Kong, China
| | - Tong Liu
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, 300211, China
| | - William K K Wu
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Ian Chi Kei Wong
- Department of Pharmacology and Pharmacy, University of Hong Kong, Pokfulam, Hong Kong, China
- Medicines Optimisation Research and Education (CMORE), UCL School of Pharmacy, London, UK
- Faculty of Health and Medical Sciences, University of Surrey, Guildford, GU2 7AL, UK
| | - Qingpeng Zhang
- School of Data Science, City University of Hong Kong, Hong Kong, China.
| | - Gary Tse
- School of Life Sciences, Chinese University of Hong Kong, Hong Kong, China.
- Medicines Optimisation Research and Education (CMORE), UCL School of Pharmacy, London, UK.
- Faculty of Health and Medical Sciences, University of Surrey, Guildford, GU2 7AL, UK.
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Cheon SY, Song J. The Association between Hepatic Encephalopathy and Diabetic Encephalopathy: The Brain-Liver Axis. Int J Mol Sci 2021; 22:ijms22010463. [PMID: 33466498 PMCID: PMC7796499 DOI: 10.3390/ijms22010463] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 01/02/2021] [Accepted: 01/03/2021] [Indexed: 12/13/2022] Open
Abstract
Hepatic encephalopathy (HE) is one of the main consequences of liver disease and is observed in severe liver failure and cirrhosis. Recent studies have provided significant evidence that HE shows several neurological symptoms including depressive mood, cognitive dysfunction, impaired circadian rhythm, and attention deficits as well as motor disturbance. Liver disease is also a risk factor for the development of diabetes mellitus. Diabetic encephalopathy (DE) is characterized by cognitive dysfunction and motor impairment. Recent research investigated the relationship between metabolic changes and the pathogenesis of neurological disease, indicating the importance between metabolic organs and the brain. Given that a diverse number of metabolites and changes in the brain contribute to neurologic dysfunction, HE and DE are emerging types of neurologic disease. Here, we review significant evidence of the association between HE and DE, and summarise the common risk factors. This review may provide promising therapeutic information and help to design a future metabolic organ-related study in relation to HE and DE.
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Affiliation(s)
- So Yeong Cheon
- Department of Biotechnology, College of Biomedical & Health Science, Konkuk University, Chungju 27478, Korea;
| | - Juhyun Song
- Department of Anatomy, Chonnam National University Medical School, Hwasun 58128, Jeollanam-do, Korea
- Correspondence: ; Tel.: +82-61-379-2706; Fax: +82-61-375-5834
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Watt C, Sanchez-Rangel E, Hwang JJ. Glycemic Variability and CNS Inflammation: Reviewing the Connection. Nutrients 2020; 12:nu12123906. [PMID: 33371247 PMCID: PMC7766608 DOI: 10.3390/nu12123906] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 12/11/2020] [Accepted: 12/14/2020] [Indexed: 12/16/2022] Open
Abstract
Glucose is the primary energy source for the brain, and exposure to both high and low levels of glucose has been associated with numerous adverse central nervous system (CNS) outcomes. While a large body of work has highlighted the impact of hyperglycemia on peripheral and central measures of oxidative stress, cognitive deficits, and vascular complications in Type 1 and Type 2 diabetes, there is growing evidence that glycemic variability significantly drives increased oxidative stress, leading to neuroinflammation and cognitive dysfunction. In this review, the latest data on the impact of glycemic variability on brain function and neuroinflammation will be presented. Because high levels of oxidative stress have been linked to dysfunction of the blood-brain barrier (BBB), special emphasis will be placed on studies investigating the impact of glycemic variability on endothelial and vascular inflammation. The latest clinical and preclinical/in vitro data will be reviewed, and clinical/therapeutic implications will be discussed.
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Zhou J, Zhang Z, Zhou H, Qian G. Diabetic Cognitive Dysfunction: From Bench to Clinic. Curr Med Chem 2020; 27:3151-3167. [PMID: 30727866 DOI: 10.2174/1871530319666190206225635] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2018] [Revised: 12/30/2018] [Accepted: 01/30/2019] [Indexed: 02/07/2023]
Abstract
Type 2 diabetes increases the risk of developing cognitive dysfunction in the elderly in the form of short-term memory and executive function impairment. Genetic and diet-induced models of type 2 diabetes further support this link, displaying deficits in working memory, learning, and memory performance. The risk factors for diabetic cognitive dysfunction include vascular disease, hypoglycaemia, hyperlipidaemia, adiposity, insulin resistance, lifestyle factors, and genetic factors. Using neuronal imaging technologies, diabetic patients with cognitive dysfunction show atrophy of the whole brain, particularly the grey matter, hippocampus and amygdala; increased volume of the ventricular and white matter; brain infarcts; impaired network integrity; abnormal microstructure; and reduced cerebral blood flow and amplitude of low-frequency fluctuations. The pathogenesis of type 2 diabetes with cognitive dysfunction involves hyperglycaemia, macrovascular and microvascular diseases, insulin resistance, inflammation, apoptosis, and disorders of neurotransmitters. Large clinical trials may offer further proof of biomarkers and risk factors for diabetic cognitive dysfunction. Advanced neuronal imaging technologies and novel disease animal models will assist in elucidating the precise pathogenesis and to provide better therapeutic interventions and treatment.
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Affiliation(s)
- Jiyin Zhou
- National Drug Clinical Trial Institution, the Second Affiliated Hospital, Army Medical University, Chongqing 400037, China
| | - Zuo Zhang
- National Drug Clinical Trial Institution, the Second Affiliated Hospital, Army Medical University, Chongqing 400037, China
| | - Hongli Zhou
- National Drug Clinical Trial Institution, the Second Affiliated Hospital, Army Medical University, Chongqing 400037, China
| | - Guisheng Qian
- Institute of Respiratory Diseases, the Second Affiliated Hospital, Army Medical University, Chongqing 400037, China
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Weinstein G, Elran Barak R, Schnaider Beeri M, Ravona-Springer R. Personality traits and cognitive function in old-adults with type-2 diabetes. Aging Ment Health 2019; 23:1317-1325. [PMID: 30406666 DOI: 10.1080/13607863.2018.1493720] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Objectives: Personality may constitute an important domain of influence on cognitive function in old-adults. We assessed the relationship of personality traits and cognitive performance in individuals with Type-2 Diabetes (T2D), and explored possible mediators. Method: The sample includes 377 dementia-free subjects with T2D participating in the Israel Diabetes and Cognitive Decline study who underwent assessment of cognition and personality (mean age 72 ± 4y; 42% females). We assessed the relationships of personality traits with episodic memory, semantic categorization, attention/working memory, executive function and overall cognition using linear regression models adjusting for age, education, sex, BMI, T2D duration, Hemoglobin A1C (HbA1C), hypertension, c-reactive protein, total- to HDL-cholesterol ratio and ApoEɛ4 genotype. A post-hoc mediation analysis was conducted with HbA1C, proportion of days covered (PDC) by T2D prescription claims and depressive symptoms. Results: After adjustment for multiple covariates, high neuroticism levels were associated with poorer performance overall (β= -0.16 ± 0.05; p = 0.001) and with poorer episodic memory, attention/working memory, and semantic categorization (β= -0.14 ± 0.05; p = 0.007, β= -0.12 ± 0.05; p = 0.017 and β= -0.12 ± 0.05; p = 0.018, respectively). High scores on openness to experience were associated with better global cognition (β = 0.11 ± 0.05; p = 0.026), executive functions (β = 0.13 ± 0.05; p = 0.013) and semantic categorization (β = 0.17 ± 0.05; p = 0.001, respectively). Depressive symptoms mediated the association of neuroticism with executive function, and the association of openness with executive function and overall cognition. Conclusion: Personality may play an important role in cognitive health among elderly subjects with T2D. Future studies should address the mechanisms underlying these relationships and specifically the potential role of depressive symptoms which may be in the causal pathway between personality traits and cognitive outcomes.
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Affiliation(s)
- Galit Weinstein
- a School of Public Health, University of Haifa , Haifa , Israel
| | | | - Michal Schnaider Beeri
- b Department of Psychiatry, The Icahn School of Medicine at Mount Sinai , New York , NY , USA.,c The Joseph Sagol Neuroscience Center, Sheba Medical Center , Tel-Hashomer , Israel
| | - Ramit Ravona-Springer
- d Department of Psychiatry, Sheba Medical Center , Ramat-Gan , Israel.,e Sackler Faculty of Medicine, Tel Aviv University , Tel Aviv , Israel
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Xue QL, Buta B, Ma L, Ge M, Carlson M. Integrating Frailty and Cognitive Phenotypes: Why, How, Now What? CURRENT GERIATRICS REPORTS 2019; 8:97-106. [PMID: 31815092 PMCID: PMC6897328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
PURPOSE OF REVIEW This review elucidates the concept of frailty in relationship to reserve and resilience, the relationships and shared pathophysiology between physical frailty and cognitive impairment, the theoretical underpinnings of three integrated phenotypes of physical and cognitive impairments, and the potential of incorporating biomarkers into phenotype refinement and validation. RECENT FINDINGS The fact that frailty and cognitive impairment are associated and often coexist in older adults has led to the popular view of expanding the definition of frailty to include cognitive impairment. However, there is great variability in approaches to and assumptions regarding the integrated phenotypes of physical frailty and cognitive impairment. SUMMARY The development of integrated frailty and cognitive phenotypes should explicate the types of frailty and cognitive impairment they intend to capture and prioritize the incorporation of biological theories that help determine shared and distinct pathways in the progression to physical and cognitive impairments.
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Affiliation(s)
- Qian-Li Xue
- Department of Medicine Division of Geriatric Medicine and Gerontology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
- Center on Aging and Health, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA
| | - Brian Buta
- Department of Medicine Division of Geriatric Medicine and Gerontology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
- Center on Aging and Health, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA
| | - Lina Ma
- Department of Geriatrics, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Meiling Ge
- The Center of Gerontology and Geriatrics (National Clinical Research Center for Geriatrics), West China Hospital, Sichuan University, Chengdu, China
| | - Michelle Carlson
- Center on Aging and Health, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
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Xue QL, Buta B, Ma L, Ge M, Carlson M. Integrating Frailty and Cognitive Phenotypes: Why, How, Now What? CURRENT GERIATRICS REPORTS 2019. [DOI: 10.1007/s13670-019-0279-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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11
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Zinman B, Marso SP, Poulter NR, Emerson SS, Pieber TR, Pratley RE, Lange M, Brown-Frandsen K, Moses A, Ocampo Francisco AM, Barner Lekdorf J, Kvist K, Buse JB. Day-to-day fasting glycaemic variability in DEVOTE: associations with severe hypoglycaemia and cardiovascular outcomes (DEVOTE 2). Diabetologia 2018; 61:48-57. [PMID: 28913575 PMCID: PMC6002963 DOI: 10.1007/s00125-017-4423-z] [Citation(s) in RCA: 92] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2017] [Accepted: 08/21/2017] [Indexed: 12/16/2022]
Abstract
AIMS/HYPOTHESIS The Trial Comparing Cardiovascular Safety of Insulin Degludec vs Insulin Glargine in Patients with Type 2 Diabetes at High Risk of Cardiovascular Events (DEVOTE) was a double-blind, randomised, event-driven, treat-to-target prospective trial comparing the cardiovascular safety of insulin degludec with that of insulin glargine U100 (100 units/ml) in patients with type 2 diabetes at high risk of cardiovascular events. This paper reports a secondary analysis investigating associations of day-to-day fasting glycaemic variability (pre-breakfast self-measured blood glucose [SMBG]) with severe hypoglycaemia and cardiovascular outcomes. METHODS In DEVOTE, patients with type 2 diabetes were randomised to receive insulin degludec or insulin glargine U100 once daily. The primary outcome was the first occurrence of an adjudicated major adverse cardiovascular event (MACE). Adjudicated severe hypoglycaemia was the pre-specified secondary outcome. In this article, day-to-day fasting glycaemic variability was based on the standard deviation of the pre-breakfast SMBG measurements. The variability measure was calculated as follows. Each month, only the three pre-breakfast SMBG measurements recorded before contact with the site were used to determine a day-to-day fasting glycaemic variability measure for each patient. For each patient, the variance of the three log-transformed pre-breakfast SMBG measurements each month was determined. The standard deviation was determined as the square root of the mean of these monthly variances and was defined as day-to-day fasting glycaemic variability. The associations between day-to-day fasting glycaemic variability and severe hypoglycaemia, MACE and all-cause mortality were analysed for the pooled trial population with Cox proportional hazards models. Several sensitivity analyses were conducted, including adjustments for baseline characteristics and most recent HbA1c. RESULTS Day-to-day fasting glycaemic variability was significantly associated with severe hypoglycaemia (HR 4.11, 95% CI 3.15, 5.35), MACE (HR 1.36, 95% CI 1.12, 1.65) and all-cause mortality (HR 1.58, 95% CI 1.23, 2.03) before adjustments. The increased risks of severe hypoglycaemia, MACE and all-cause mortality translate into 2.7-, 1.2- and 1.4-fold risk, respectively, when a patient's day-to-day fasting glycaemic variability measure is doubled. The significant relationships of day-to-day fasting glycaemic variability with severe hypoglycaemia and all-cause mortality were maintained after adjustments. However, the significant association with MACE was not maintained following adjustment for baseline characteristics with either baseline HbA1c (HR 1.19, 95% CI 0.96, 1.47) or the most recent HbA1c measurement throughout the trial (HR 1.21, 95% CI 0.98, 1.49). CONCLUSIONS/INTERPRETATION Higher day-to-day fasting glycaemic variability is associated with increased risks of severe hypoglycaemia and all-cause mortality. TRIAL REGISTRATION ClinicalTrials.gov NCT01959529.
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Affiliation(s)
- Bernard Zinman
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, 60 Murray St, Box 17, University of Toronto, Toronto, ON, M5T 3L9, Canada.
| | | | - Neil R Poulter
- Imperial Clinical Trials Unit, Imperial College London, London, UK
| | | | | | - Richard E Pratley
- Florida Hospital Translational Research Institute for Metabolism and Diabetes, Orlando, FL, USA
- Sanford Burnham Prebys Medical Discovery Institute, Orlando, FL, USA
| | | | | | | | | | | | | | - John B Buse
- University of North Carolina School of Medicine, Chapel Hill, NC, USA
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Small DM. Dopamine Adaptations as a Common Pathway for Neurocognitive Impairment in Diabetes and Obesity: A Neuropsychological Perspective. Front Neurosci 2017; 11:134. [PMID: 28400713 PMCID: PMC5368264 DOI: 10.3389/fnins.2017.00134] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2016] [Accepted: 03/06/2017] [Indexed: 01/06/2023] Open
Abstract
Evidence accumulates linking obesity and diabetes with cognitive dysfunction. At present the mechanism(s) underlying these associations and the relative contribution of diet, adiposity, and metabolic dysfunction are unknown. In this perspective key gaps in knowledge are outlined and an initial sketch of a neuropsychological profile is developed that points toward a critical role for dopamine (DA) adaptations in neurocognitive impairment secondary to diabetes and obesity. The precise mechanisms by which diet, metabolic dysfunction, and adiposity influence the DA system to impact cognition remains unclear and is an important direction for future research.
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Affiliation(s)
- Dana M Small
- The John B Pierce LaboratoryNew Haven, CT, USA; Department of Psychiatry, Yale University School of MedicineNew Haven, CT, USA
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Bulzacka E, Boyer L, Schürhoff F, Godin O, Berna F, Brunel L, Andrianarisoa M, Aouizerate B, Capdevielle D, Chéreau-Boudet I, Chesnoy-Servanin G, Danion JM, Dubertret C, Dubreucq J, Faget C, Gabayet F, Le Gloahec T, Llorca PM, Mallet J, Misdrahi D, Rey R, Richieri R, Passerieux C, Roux P, Yazbek H, Leboyer M, Fond G. Chronic Peripheral Inflammation is Associated With Cognitive Impairment in Schizophrenia: Results From the Multicentric FACE-SZ Dataset. Schizophr Bull 2016; 42:1290-302. [PMID: 27143795 PMCID: PMC4988740 DOI: 10.1093/schbul/sbw029] [Citation(s) in RCA: 78] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
OBJECTIVES Inflammation, measured by abnormal blood C-reactive protein (CRP) level, has been described in schizophrenia (SZ), being inconsistently related to impaired cognitive functions. The aim of the present study is to investigate cognitive impairment associated with abnormal CRP levels in a large multi-centric sample of community-dwelling SZ patients, using a comprehensive neuropsychological battery. METHOD Three hundred sixty-nine community-dwelling stable SZ subjects (76.2% men, mean age 32.7 y) were included and tested with a comprehensive battery of neuropsychological tests. Abnormal CRP level was defined as >3mg/L. RESULTS Multiple factor analysis revealed that abnormal CRP levels, found in 104 patients (28.2%), were associated with impaired General Intellectual Ability and Abstract Reasoning (aOR = 0.56, 95% CI 0.35-0.90, P = .014), independently of age, sex, education level, psychotic symptomatology, treatments, and addiction comorbidities. Abnormal CRP levels were also associated with the decline of all components of working memory (respectively effect size [ES] = 0.25, P = .033; ES = 0.27, P = .04; ES = 0.33, P = .006; and ES = 0.38, P = .004) and a wide range of other impaired cognitive functions, including memory (ES = 0.26, P = .026), learning abilities (ES = 0.28, P = .035), semantic memory (ES = 0.26, P = .026), mental flexibility (ES = 0.26, P = .044), visual attention (ES = 0.23, P = .004) and speed of processing (ES = 0.23, P = .043). CONCLUSION Our results suggest that abnormal CRP level is associated with cognitive impairment in SZ. Evaluating the effectiveness of neuroprotective anti-inflammatory strategies is needed in order to prevent cognitive impairment in SZ.
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Affiliation(s)
- Ewa Bulzacka
- Fondation FondaMental, RTRS santé mentale, Créteil, France;,INSERM U955, Translational Psychiatry Team, Créteil, France, Paris Est University, DHU Pe-PSY, Pôle de Psychiatrie des Hôpitaux Universitaires H Mondor, Créteil, France
| | - Laurent Boyer
- Fondation FondaMental, RTRS santé mentale, Créteil, France;,Pôle psychiatrie universitaire, CHU Sainte-Marguerite, F-13274 Marseille cedex 09, France
| | - Franck Schürhoff
- Fondation FondaMental, RTRS santé mentale, Créteil, France;,CMP B, CHU, EA 7280 Faculté de Médecine, Université d’Auvergne, BP 69 63003 Clermont-Ferrand Cedex 1, France
| | - Ophélia Godin
- Fondation FondaMental, RTRS santé mentale, Créteil, France;,Sorbonne Universités, UPMC Univ Paris 06, UMR_S 1136, Institut Pierre Louis d’Epidémiologie et de Santé Publique, F-75013, Paris, France, INSERM, UMR_S 1136, Institut Pierre Louis d’Epidémiologie et de Santé Publique, F-75013, Paris, France
| | - Fabrice Berna
- Fondation FondaMental, RTRS santé mentale, Créteil, France;,Hôpitaux Universitaires de Strasbourg, Université de Strasbourg, INSERM U1114, Fédération de Médecine Translationnelle de Strasbourg, Strasbourg, France
| | - Lore Brunel
- Fondation FondaMental, RTRS santé mentale, Créteil, France;,INSERM U955, Translational Psychiatry Team, Créteil, France, Paris Est University, DHU Pe-PSY, Pôle de Psychiatrie des Hôpitaux Universitaires H Mondor, Créteil, France
| | - Méja Andrianarisoa
- Fondation FondaMental, RTRS santé mentale, Créteil, France;,INSERM U955, Translational Psychiatry Team, Créteil, France, Paris Est University, DHU Pe-PSY, Pôle de Psychiatrie des Hôpitaux Universitaires H Mondor, Créteil, France
| | - Bruno Aouizerate
- Fondation FondaMental, RTRS santé mentale, Créteil, France;,Centre Hospitalier Charles Perrens, Université de Bordeaux, F-33076 Bordeaux, France;,Inserm, Neurocentre Magendie, Physiopathologie de la Plasticité Neuronale, U862, F-33000 Bordeaux, France
| | - Delphine Capdevielle
- Fondation FondaMental, RTRS santé mentale, Créteil, France;,Service Universitaire de Psychiatrie Adulte, Hôpital la Colombière, CHRU Montpellier, Université Montpellier 1, Inserm 1061, Montpellier, France
| | - Isabelle Chéreau-Boudet
- Fondation FondaMental, RTRS santé mentale, Créteil, France;,CMP B, CHU, EA 7280 Faculté de Médecine, Université d’Auvergne, BP 69 63003 Clermont-Ferrand Cedex 1, France
| | - Gabrielle Chesnoy-Servanin
- Fondation FondaMental, RTRS santé mentale, Créteil, France;,Université Claude Bernard Lyon 1/Centre Hospitalier Le Vinatier Pole Est BP 300 39—95 bd Pinel—69678 BRON Cedex, France
| | - Jean-Marie Danion
- Fondation FondaMental, RTRS santé mentale, Créteil, France;,Hôpitaux Universitaires de Strasbourg, Université de Strasbourg, INSERM U1114, Fédération de Médecine Translationnelle de Strasbourg, Strasbourg, France
| | - Caroline Dubertret
- Fondation FondaMental, RTRS santé mentale, Créteil, France;,AP-HP, Department of Psychiatry, Louis Mourier Hospital, Colombes, Inserm U894, Université Paris Diderot, Sorbonne Paris Cité, Faculté de médecine, France
| | - Julien Dubreucq
- Fondation FondaMental, RTRS santé mentale, Créteil, France;,Centre Référent de Réhabilitation Psychosociale, CH Alpes Isère, Grenoble, France
| | - Catherine Faget
- Fondation FondaMental, RTRS santé mentale, Créteil, France;,Assistance Publique des Hôpitaux de Marseille (AP-HM), pôle universitaire de psychiatrie, Marseille, France
| | - Franck Gabayet
- Fondation FondaMental, RTRS santé mentale, Créteil, France;,Centre Référent de Réhabilitation Psychosociale, CH Alpes Isère, Grenoble, France
| | - Tifenn Le Gloahec
- Fondation FondaMental, RTRS santé mentale, Créteil, France;,INSERM U955, Translational Psychiatry Team, Créteil, France, Paris Est University, DHU Pe-PSY, Pôle de Psychiatrie des Hôpitaux Universitaires H Mondor, Créteil, France
| | - Pierre-Michel Llorca
- Fondation FondaMental, RTRS santé mentale, Créteil, France;,CMP B, CHU, EA 7280 Faculté de Médecine, Université d’Auvergne, BP 69 63003 Clermont-Ferrand Cedex 1, France
| | - Jasmina Mallet
- Fondation FondaMental, RTRS santé mentale, Créteil, France;,AP-HP, Department of Psychiatry, Louis Mourier Hospital, Colombes, Inserm U894, Université Paris Diderot, Sorbonne Paris Cité, Faculté de médecine, France
| | - David Misdrahi
- Fondation FondaMental, RTRS santé mentale, Créteil, France;,Centre Hospitalier Charles Perrens, Université de Bordeaux, F-33076 Bordeaux, France;,CNRS UMR 5287 - Institut de Neurosciences cognitives et intégratives d'Aquitaine (INCIA), Bordeaux, France
| | - Romain Rey
- Fondation FondaMental, RTRS santé mentale, Créteil, France;,Université Claude Bernard Lyon 1/Centre Hospitalier Le Vinatier Pole Est BP 300 39—95 bd Pinel—69678 BRON Cedex, France
| | - Raphaëlle Richieri
- Fondation FondaMental, RTRS santé mentale, Créteil, France;,Assistance Publique des Hôpitaux de Marseille (AP-HM), pôle universitaire de psychiatrie, Marseille, France
| | - Christine Passerieux
- Fondation FondaMental, RTRS santé mentale, Créteil, France;,Service de psychiatrie d’adulte, Centre Hospitalier de Versailles, UFR des Sciences de la Santé Simone Veil, Université Versailles Saint-Quentin en Yvelines, Versailles, France
| | - Paul Roux
- Fondation FondaMental, RTRS santé mentale, Créteil, France;,Service de psychiatrie d’adulte, Centre Hospitalier de Versailles, UFR des Sciences de la Santé Simone Veil, Université Versailles Saint-Quentin en Yvelines, Versailles, France
| | - Hanan Yazbek
- Fondation FondaMental, RTRS santé mentale, Créteil, France;,Service Universitaire de Psychiatrie Adulte, Hôpital la Colombière, CHRU Montpellier, Université Montpellier 1, Inserm 1061, Montpellier, France
| | - Marion Leboyer
- Fondation FondaMental, RTRS santé mentale, Créteil, France;,INSERM U955, Translational Psychiatry Team, Créteil, France, Paris Est University, DHU Pe-PSY, Pôle de Psychiatrie des Hôpitaux Universitaires H Mondor, Créteil, France
| | - Guillaume Fond
- Fondation FondaMental, RTRS santé mentale, Créteil, France; INSERM U955, Translational Psychiatry Team, Créteil, France, Paris Est University, DHU Pe-PSY, Pôle de Psychiatrie des Hôpitaux Universitaires H Mondor, Créteil, France;
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Parthenolide, an NF-κB Inhibitor Ameliorates Diabetes-Induced Behavioural Deficit, Neurotransmitter Imbalance and Neuroinflammation in Type 2 Diabetes Rat Model. Neuromolecular Med 2016; 19:101-112. [PMID: 27553015 DOI: 10.1007/s12017-016-8434-6] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2016] [Accepted: 08/10/2016] [Indexed: 02/08/2023]
Abstract
Diabetes is associated with behavioural and neurochemical alterations. In this manuscript, we are reporting the beneficial effects of parthenolide, an NF-κB inhibitor on behavioural and neurochemical deficits in type 2 diabetic rat model. Diabetes was induced by high-fat diet followed by low dose of streptozotocin (35 mg/kg). Elevated plus maze, open-field, MWM and passive avoidance test paradigm were used to assess behavioural and cognitive deficits. Three-week treatment of parthenolide (0.25 and 0.50 mg/kg; i.p.) attenuated diabetes-induced alteration in cognitive function in Morris water maze and passive avoidance test. Anxiety-like behaviour was also reduced by parthenolide treatment. Moreover, TNF-α and IL-6 levels were significantly decreased in cortex and hippocampus of parthenolide-treated rats. Three-week parthenolide treatment also toned down the alteration of GABA and glutamate homoeostasis. Results of this study corroborate the involvement of neuroinflammation in the development of behavioural and neurochemical deficits in diabetic animals and point towards the therapeutic potential of parthenolide in diabetes-induced alteration of learning, memory and anxiety behaviour.
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