Effects of ABCA1 R219K Polymorphism and Serum Lipid Profiles on Mild Cognitive Impairment in Type 2 Diabetes Mellitus

Diabetes is a risk factor for mild cognitive impairment (MCI) and dementia. However, how the clinical characteristics of type 2 diabetic patients with MCI are linked to sarcopenia and/or its criterion remain to be elucidated. Japanese patients with type 2 diabetes mellitus were categorized into the MCI group for MoCA-J (the Japanese version of the Montreal cognitive assessment) score <26, and into the non-MCI group for MoCA-J ≥26. Sarcopenia was defined by a low skeletal mass index along with low muscle strength (handgrip strength) or low physical performance (walking speed <1.0 m/s). Univariate and multivariate-adjusted odds ratio models were used to determine the independent contributors for MoCA-J <26. Among 438 participants, 221 (50.5%) and 217 (49.5%) comprised the non-MCI and MCI groups, respectively. In the MCI group, age (61 ± 12 vs. 71 ± 10 years, p < 0.01) and duration of diabetes (14 ± 9 vs. 17 ± 9 years, p < 0.01) were higher than those in the non-MCI group. Patients in the MCI group exhibited lower hand grip strength, walking speed, and skeletal mass index, but higher prevalence of sarcopenia. Only walking speed (rather than muscle loss or muscle weakness) was found to be an independent determinant of MCI after adjusting for multiple factors, such as age, gender, BMI, duration of diabetes, hypertension, dyslipidemia, smoking, drinking, eGFR, HbA1c, and history of coronary heart diseases and stroke. In subgroup analysis, a group consisting of male patients aged ≥65 years, with BMI <25, showed a significant OR for walking speed. This is the first study to show that slow walking speed is a sole determinant for the presence of MCI in patients with type 2 diabetes. It was suggested that walking speed is an important factor in the prediction and prevention of MCI development in patients with diabetes mellitus.

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Association between plasma adipsin level and mild cognitive impairment in Chinese patients with type 2 diabetes: a cross-sectional study

BMC Endocrine Disorders ◽

10.1186/s12902-019-0431-y ◽

2019 ◽

Vol 19 (1) ◽

Cited By ~ 1

Author(s):

Dan Guo ◽

Yang Yuan ◽

Rong Huang ◽

Sai Tian ◽

Jiaqi Wang ◽

...

Keyword(s):

Diabetes Mellitus ◽

Insulin Resistance ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Large Scale ◽

Chinese Patients ◽

Enzyme Linked Immunosorbent Assay

Abstract Background The adipokine adipsin contributes to insulin resistance (IR), inflammation, and obesity, which are all regarded as high-risk factors for mild cognitive impairment (MCI) in patients with type 2 diabetes mellitus. This research aimed to uncover the role of adipsin in Chinese type 2 diabetes mellitus (T2DM) population with early cognitive dysfunction and determine whether adipsin contributes to diabetic MCI caused by IR. Methods In our study, 126 patients with T2DM were enrolled. The Montreal Cognitive Assessment (MoCA) was used to assess cognitive impairment. Demographic data and neuropsychological test results were evaluated. Plasma adipsin level was measured by enzyme-linked immunosorbent assay. Results The MCI group (n = 57) presented higher plasma adipsin levels compared with the healthy controls (p = 0.018). After adjustment for educational attainment, and age, begative correlations were found between plasma adipsin levels and MoCA, Mini Mental State Exam, and Verbal Fluency Test scores(r = − 0.640, p < 0.001; r = − 0.612, p < 0.001; r = − 0.288, p = 0.035; respectively). Correlation analysis demonstrated that adipsin levels were significantly positively correlated with fasting C-peptide; homeostasis model of assessment for insulin resistance (HOMA-IR) (r = 0.368, p < 0.001; r = 0.494, p < 0.001; respectively). Multivariable regression analysis further indicated that high plasma adipsin level was a significant independent determinant of MCI in the Chinese population withT2DM (p = 0.017). Conclusions Elevated plasma adipsin level was associated with MCI in Chinese T2DM patients. Further large-scale studies should be designed to determine whether adipsin is linked to IR-associated susceptibility to early cognitive decline in T2DM patients.

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Plasma microRNAs biomarkers in mild cognitive impairment among patients with type 2 diabetes mellitus

PLoS ONE ◽

10.1371/journal.pone.0236453 ◽

2020 ◽

Vol 15 (7) ◽

pp. e0236453

Author(s):

Iman I. Salama ◽

Samia M. Sami ◽

Ghada A. Abdellatif ◽

Amira Mohsen ◽

Hanaa Rasmy ◽

...

Keyword(s):

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Cognitive Impairment ◽

Mild Cognitive Impairment

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The prevalence of mild cognitive impairment with type 2 diabetes mellitus among elderly people in China: A cross-sectional study

Archives of Gerontology and Geriatrics ◽

10.1016/j.archger.2015.09.003 ◽

2016 ◽

Vol 62 ◽

pp. 138-142 ◽

Cited By ~ 25

Author(s):

Yuxia Gao ◽

Yanyu Xiao ◽

Rujuan Miao ◽

Jiangang Zhao ◽

Mingfei Cui ◽

...

Keyword(s):

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Elderly People ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional

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Brain iron deposition in type 2 diabetes mellitus with and without mild cognitive impairment—an in vivo susceptibility mapping study

Brain Imaging and Behavior ◽

10.1007/s11682-017-9815-7 ◽

2018 ◽

Vol 12 (5) ◽

pp. 1479-1487 ◽

Cited By ~ 7

Author(s):

Qifang Yang ◽

Lina Zhou ◽

Chen Liu ◽

Daihong Liu ◽

Yang Zhang ◽

...

Keyword(s):

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Brain Iron ◽

Mapping Study ◽

Brain Iron Deposition

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Diabetes control, dyslipidemia, hsCRP and mild cognitive impairment in non-elderly people with type 2 diabetes mellitus

International Journal of Research in Medical Sciences ◽

10.18203/2320-6012.ijrms20190337 ◽

2019 ◽

Vol 7 (2) ◽

pp. 372

Author(s):

Naveen Kumar ◽

Veer Bahadur Singh ◽

Babu Lal Meena ◽

Deepak Kumar ◽

Harish Kumar ◽

...

Keyword(s):

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Cognitive Assessment ◽

Low Density Lipoprotein ◽

Density Lipoprotein ◽

Low Density

Background: Mild Cognitive Impairment (MCI) a transitional stage between normal aging and dementia has been observed more in people with diabetes when compared with general population. The risk factors for MCI in type 2 diabetes mellitus (T2DM) have been defined in elderly patients and aging may itself contribute to declining in cognitive functions. As the large number people with T2DM are under 60years, the prevalence of MCI and factors contributing to it are not much studied. So, this study aimed to find out the factors contributing to MCI in non-elderly T2DM patients.Methods: In this cross-sectional study, 257 patients with T2DM underwent cognitive assessment by Montreal cognitive assessment test and the cognitive levels were correlated with their glycosylated hemoglobin, lipid profile, and highly sensitive C-reactive protein (hsCRP).Results: The prevalence of mild cognitive impairment (MCI) was 64.2%. MCI significantly correlated with duration of diabetes, socioeconomic status, HbA1c, serum triglycerides, low-density lipoprotein, very low-density lipoprotein and hsCRP levels. The factors that were statistically insignificant were body mass index and high-density lipoprotein levels.Conclusions: Cognitive impairment is seen even in non-elderly T2DM patients. It should be considered along with the other complications of diabetes and individuals with T2DM should be screened for cognitive impairment to prevent progression to dementia.

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Aberrant Brain Spontaneous Activity and Synchronization in Type 2 Diabetes Mellitus Subjects Without Mild Cognitive Impairment

Frontiers in Neuroscience ◽

10.3389/fnins.2021.749730 ◽

2021 ◽

Vol 15 ◽

Author(s):

Yifan Li ◽

Mingrui Li ◽

Yue Feng ◽

Xiaomeng Ma ◽

Xin Tan ◽

...

Keyword(s):

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Spontaneous Activity ◽

Supplementary Information ◽

Middle Occipital Gyrus ◽

The Right

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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