801
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Ma D, Huang R, Guo K, Zhao Z, Wei W, Gu L, Li L, Zhang L. Cornel Iridoid Glycoside Protects Against STAT1-Dependent Synapse and Memory Deficits by Increasing N-Methyl-D-aspartate Receptor Expression in a Tau Transgenic Mice. Front Aging Neurosci 2021; 13:671206. [PMID: 34113246 PMCID: PMC8185567 DOI: 10.3389/fnagi.2021.671206] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Accepted: 04/13/2021] [Indexed: 12/14/2022] Open
Abstract
P301S transgenic mice are an animal model of tauopathy and Alzheimer’s disease (AD), exhibiting tau pathology and synaptic dysfunction. Cornel iridoid glycoside (CIG) is an active ingredient extracted from Cornus officinalis, a traditional Chinese herb. In the present study, the purpose was to investigate the effects and mechanisms of CIG on tau pathology and synaptic dysfunction using P301S transgenic mice. The results showed that intragastric administration of CIG for 3.5 months improved cognitive impairments and the survival rate of P301S mice. Electrophysiological recordings and transmission electron microscopy study showed that CIG improved synaptic plasticity and increased the ultrastructure and number of synapse. Moreover, CIG increased the expression levels of N-methyl-D-aspartate receptors (NMDAR) subunits GluN1, GluN2A, and GluN2B, and α-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid receptor (AMPAR) subunit GluA1. We inferred that the major mechanism of CIG involving in the regulation of synaptic dysfunctions was inhibiting the activation of Janus kinase-2 (JAK2)/signal transducer and activator of transcription 1 (STAT1) signaling pathway and alleviating STAT1-induced suppression of NMDAR expressions. Based on our findings, we thought CIG might be a promising candidate for the therapy of tauopathy such as AD.
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Affiliation(s)
- Denglei Ma
- Key Laboratory for Neurodegenerative Diseases of Ministry of Education, Department of Pharmacy, Beijing Institute for Brain Disorders, Beijing Engineering Research Center for Nerve System Drugs, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Rui Huang
- Key Laboratory for Neurodegenerative Diseases of Ministry of Education, Department of Pharmacy, Beijing Institute for Brain Disorders, Beijing Engineering Research Center for Nerve System Drugs, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Kaiwen Guo
- Key Laboratory for Neurodegenerative Diseases of Ministry of Education, Department of Pharmacy, Beijing Institute for Brain Disorders, Beijing Engineering Research Center for Nerve System Drugs, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Zirun Zhao
- Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, United States
| | - Weipeng Wei
- Key Laboratory for Neurodegenerative Diseases of Ministry of Education, Department of Pharmacy, Beijing Institute for Brain Disorders, Beijing Engineering Research Center for Nerve System Drugs, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Lihong Gu
- Key Laboratory for Neurodegenerative Diseases of Ministry of Education, Department of Pharmacy, Beijing Institute for Brain Disorders, Beijing Engineering Research Center for Nerve System Drugs, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Lin Li
- Key Laboratory for Neurodegenerative Diseases of Ministry of Education, Department of Pharmacy, Beijing Institute for Brain Disorders, Beijing Engineering Research Center for Nerve System Drugs, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Lan Zhang
- Key Laboratory for Neurodegenerative Diseases of Ministry of Education, Department of Pharmacy, Beijing Institute for Brain Disorders, Beijing Engineering Research Center for Nerve System Drugs, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital of Capital Medical University, Beijing, China
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802
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Pang Y, Li T, Wang Q, Qin W, Li Y, Wei Y, Jia L. A Rare Variation in the 3' Untranslated Region of the Presenilin 2 Gene Is Linked to Alzheimer's Disease. Mol Neurobiol 2021; 58:4337-4347. [PMID: 34009547 DOI: 10.1007/s12035-021-02429-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 05/11/2021] [Indexed: 11/26/2022]
Abstract
Rare variations in coding regions may alter the amino acid sequence and function of presenilins (PSENs), which results in the dysfunction of gamma-secretase, in turn contributing to the development of familial Alzheimer's disease (AD). However, whether rare variations in the 3' untranslated region (UTR) may change the expression level of PSEN2 leading to AD remains unclear. In a familial AD pedigree, DNA samples of the patients were screened for APP, PSEN1, and PSEN2 gene mutations using Sanger sequencing. Allele A of rs537889666, a rare variation located in the 3' UTR of PSEN2, was found in all AD patients, but not in the healthy control in the family. Cosegregation analysis (n = 5) revealed that allele A of rs537889666 may be a pathogenic rare variation. The dual-luciferase assay revealed that allele A suppressed the combination of miR-183-5p and the 3' UTR of PSEN2, which may block the miR-183-5p-mediated suppression of PSEN2 expression. Further study showed an elevated ratio of Aβ42/40 under overexpressed PSEN2 conditions. Measurements of the cerebrospinal fluid showed that PSEN2 levels were increased in both sporadic and AD in this family, suggesting that elevated PSEN2 was associated with the disease. In addition, the miR-183-5p inhibitor or mimic can increase or decrease Aβ42/40 ratios. In conclusion, the results indicate that allele A of rs537889666 upregulated PSEN2 levels, increasing the Aβ42/40 ratio and contributing to AD development.
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Affiliation(s)
- Yana Pang
- Innovation Center for Neurological Disorders and Department of Neurology, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 45 Changchun St, Beijing, 100000, China
| | - Tingting Li
- Innovation Center for Neurological Disorders and Department of Neurology, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 45 Changchun St, Beijing, 100000, China
| | - Qi Wang
- Innovation Center for Neurological Disorders and Department of Neurology, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 45 Changchun St, Beijing, 100000, China
| | - Wei Qin
- Innovation Center for Neurological Disorders and Department of Neurology, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 45 Changchun St, Beijing, 100000, China
| | - Ying Li
- Innovation Center for Neurological Disorders and Department of Neurology, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 45 Changchun St, Beijing, 100000, China
| | - Yiping Wei
- Innovation Center for Neurological Disorders and Department of Neurology, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 45 Changchun St, Beijing, 100000, China
| | - Longfei Jia
- Innovation Center for Neurological Disorders and Department of Neurology, National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 45 Changchun St, Beijing, 100000, China.
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803
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Huang Q, Jia X, Zhang J, Huang F, Wang H, Zhang B, Wang L, Jiang H, Wang Z. Diet-Cognition Associations Differ in Mild Cognitive Impairment Subtypes. Nutrients 2021; 13:nu13041341. [PMID: 33920687 PMCID: PMC8073801 DOI: 10.3390/nu13041341] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 04/13/2021] [Accepted: 04/16/2021] [Indexed: 12/26/2022] Open
Abstract
Cognitive function is not generally associated with diet, and there is debate over that association. Moreover, little is known about such associations with the specific cognitive domains and subtypes of mild cognitive impairment (MCI). We analyzed data of 4309 Chinese adults aged 55 and over from the Community-based Cohort Study on Nervous System Diseases from 2018–2019. Dietary habits were assessed at inclusion using a validated semi-quantitative food frequency questionnaire. Cognitive function of the participants was measured by using the Montreal Cognitive Assessment. Analyses were performed using multiple logistic regression and quantile regression with adjustment for socio-demographic, lifestyle, and health-related factors. Compared with normal cognition participants, those with a worse cognition state were characterized as being an older age and lower economic level. After adjustment for potential factors, participants with higher consumption of rice, legumes, fresh vegetables, fresh fruit, pork, poultry, fish, and nuts tended to have higher scores of global cognitive function and domains, and to have lower odds of MCI, while those with higher consumption levels of wheat and eggs had worse cognition, compared with the corresponding bottom consumption level of each food. Participants with a medium consumption level of beef or mutton had 57% (OR: 1.57, 95%CI: 1.07–2.32) higher odds of aMCI-SD, whereas they had 50% (OR: 0.50, 95%CI: 0.34–0.73) lower odds of naMCI-MD. Similarly, the highest consumption level of dairy was positively associated with the odds of aMCI-SD (OR:1.51, 95%CI:1.00–2.29), but inversely linked to the odds of naMCI-SD (OR: 0.60, 95%CI: 0.38–0.93) and naMCI-MD (OR: 0.49, 95%CI: 0.29–0.82). Most diet global cognitive benefits were observed to be associated with the preexisting higher consumption of rice, legumes, fresh vegetables, fresh fruit, meat, and nuts. In addition, the heterogeneity of associations between the consumption of certain foods and MCI subtypes was observed among Chinese adults aged over 55 years. These cross-sectional observations require validation in prospective studies.
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804
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Cheng Y, Wang Z, Yang T, Lv W, Huang H, Zhang Y. Factors influencing depression in primary caregivers of patients with dementia in China: A cross-sectional study. Geriatr Nurs 2021; 42:734-739. [PMID: 33857837 DOI: 10.1016/j.gerinurse.2021.03.017] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 03/22/2021] [Accepted: 03/24/2021] [Indexed: 10/21/2022]
Abstract
This study aims to estimate the prevalence and factors of depression in primary caregivers of people with dementia in China, based on a biopsychosocial medical model. A sample of 285 caregiver-patient dyads was recruited from a tertiary psychiatric hospital in Nanjing, between December 2018 and November 2019. The prevalence of depression among primary caregivers of people with dementia was 42.8%. Binary logistic regression analyses revealed that caregivers' gender (OR=4.692), social support (OR=0.131), health condition (OR=12.994), extraversion (OR=0.102) and neuroticism (OR=2.978) were predictive of depression in those caregivers. Of the above, health condition was the major factor associated with caregiver's depression. The Box-Tidwell method was used to show a linear relationship between continuous independent variables and dependent variable logit conversion values (p = 0.0045). Suggestions are provided to develop support service programs and interventions tailored to caregivers, to help meet their basic substance and mental health needs. (147 words).
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Affiliation(s)
- Yin Cheng
- School of Nursing, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, 211166, Nanjing, China
| | - Zhaoqin Wang
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Gulou District, 210029, Nanjing, China
| | - Tianting Yang
- Nursing Department, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Gulou District, 210029, Nanjing, China
| | - Wenjun Lv
- Nursing Department, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Gulou District, 210029, Nanjing, China
| | - Haolian Huang
- Nursing Department, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Gulou District, 210029, Nanjing, China
| | - Yanhong Zhang
- Nursing Department, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Gulou District, 210029, Nanjing, China; School of Nursing, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, 211166, Nanjing, China.
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805
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Ni W, Zhang Z, Zhang B, Zhang W, Cheng H, Miao Y, Chen W, Liu J, Zhu D, Bi Y. Connecting Peripheral to Central Neuropathy: Examination of Nerve Conduction Combined with Olfactory Tests in Patients with Type 2 Diabetes. Diabetes Metab Syndr Obes 2021; 14:3097-3107. [PMID: 34267530 PMCID: PMC8276992 DOI: 10.2147/dmso.s312021] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Accepted: 06/14/2021] [Indexed: 12/11/2022] Open
Abstract
AIM Few studies have investigated the associations between diabetic peripheral neuropathy (DPN) and cognitive decline. Olfactory impairment is related to neurodegenerative diseases and type 2 diabetes mellitus (T2DM); however, the cognitive alterations of patients with DPN and the role of olfactory function in DPN are not known. We explored alterations in cognition with DPN and the associations of neuropathy parameters with cognition and olfaction. METHODS Healthy controls (HCs) and patients with T2DM underwent nerve-conduction tests, detailed cognitive assessment, olfactory-behavior tests, and odor-induced functional magnetic resonance imaging (fMRI). T2DM patients were divided into two groups (non-DPN [NDPN] and DPN). Olfactory brain regions showing different activation between the two groups were selected for functional connectivity (FC) analyses. A structural equation model (SEM) was also generated to demonstrate the association among cognition, olfactory, and neuropathy parameters. RESULTS One hundred individuals (36 HCs, 36 NDPN, and 28 DPN) were matched for age, sex, and educational level. Compared with the NDPN group, the DPN group had significantly lower scores for memory and processing speed, as well as lower olfactory identification and memory scores, decreased activation of the left frontal lobe, and reduced seed-based functional connectivity in the right insula. The nerve conduction velocity in patients with T2DM was associated with cognitive functions. The association between nerve conduction and executive function was mediated by olfactory behavior. CONCLUSION Patients with DPN had worse cognition than the NDPN patients in the domains of memory and processing speed. Cognitive dysfunction could be predicted by olfactory-behavior tests and electrophysiological examination.
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Affiliation(s)
- Wenyu Ni
- Department of Endocrinology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, People’s Republic of China
| | - Zhou Zhang
- Department of Endocrinology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, People’s Republic of China
| | - Bing Zhang
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, People’s Republic of China
| | - Wen Zhang
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, People’s Republic of China
| | - Haiyan Cheng
- Department of Endocrinology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, People’s Republic of China
| | - Yingwen Miao
- Department of Endocrinology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, People’s Republic of China
| | - Wei Chen
- Department of Endocrinology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, People’s Republic of China
| | - Jiani Liu
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, People’s Republic of China
| | - Dalong Zhu
- Department of Endocrinology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, People’s Republic of China
| | - Yan Bi
- Department of Endocrinology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, People’s Republic of China
- Correspondence: Yan Bi Department of Endocrinology, Drum Tower Hospital, Affiliated to Nanjing University Medical School, No. 321, Zhongshan Road, Nanjing, 210008, People’s Republic of ChinaTel +86 25-83304616-61431Fax +86 25-83304616-61431 Email
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806
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Zhang S, Qiu Q, Qian S, Lin X, Yan F, Sun L, Xiao S, Wang J, Fang Y, Li X. Determining Appropriate Screening Tools and Cutoffs for Cognitive Impairment in the Chinese Elderly. Front Psychiatry 2021; 12:773281. [PMID: 34925100 PMCID: PMC8674928 DOI: 10.3389/fpsyt.2021.773281] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 10/13/2021] [Indexed: 12/03/2022] Open
Abstract
Background: The Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) are the most commonly used tools for cognitive impairment screening. The present study aimed to investigate the ability of the MOCA and MMSE to differentiate between cognitively normal elderly individuals, MCI patients and dementia patients at different ages and education levels and to establish the optimal cutoff scores of the MoCA and MMSE for MCI and dementia in the Chinese elderly. Methods: A total of 2,954 Chinese elderly individuals, including 1,746 normal controls, 599 MCI patients and 249 dementia patients, were consecutively recruited in the study. The optimal cutoffs for MoCA and MMSE were determined using receiver operating characteristic (ROC) analysis among the different age and education levels in the three groups. Furthermore, comparison of ROC curves were made to evaluate the performances of the two tests. Results: The area under the curve(AUC) of the MoCA (0.82) for detecting MCI was significantly higher than that of the MMSE (0.75) (P < 0.001). When the sample was divided according to age and education level, the AUC of the MoCA (0.84) was higher than those of the MMSE (0.71) for MCI (P < 0.001) in the younger and more highly-educated groups. The optimal cutoff scores of the MoCA for the groups aged ≤ 75 years old and education ≤ 6 years, aged > 75 years old and education ≤ 6 years, aged ≤ 75 years old and education > 6 years, aged > 75 years old and education > 6 years in screening for MCI were identified as 19.5, 15.5, 24.5 and 24.5, respectively, and the optimal cutoff scores for dementia were 18.5, 10.5, 18.5 and 20.5, respectively. For MMSE in the above four groups, the cutoff scores to detect MCI were 26.5, 22.5, 28.5 and 26.5, respectively, and the optimal cutoff scores for dementia were 23.5, 19.5, 23.5 and 23.5, respectively. Conclusion: Compared to MMSE, the MoCA is more suitable for discriminating MCI in younger and more highly educated elderly Chinese individuals. However, the MMSE has advantage over MoCA in screening MCI in individuals with lower education levels and the older groups of Chinese elderly.
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Affiliation(s)
- Shaowei Zhang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qi Qiu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shixing Qian
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiang Lin
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Feng Yan
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lin Sun
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shifu Xiao
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jinghua Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuan Fang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xia Li
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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807
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Gan J, Liu S, Wu H, Chen Z, Fei M, Xu J, Dou Y, Wang X, Ji Y. The Impact of the COVID-19 Pandemic on Alzheimer's Disease and Other Dementias. Front Psychiatry 2021; 12:703481. [PMID: 34335338 PMCID: PMC8317553 DOI: 10.3389/fpsyt.2021.703481] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 06/22/2021] [Indexed: 11/13/2022] Open
Abstract
Introduction: Numerous countries went into lockdown to contain the COVID-19 outbreak, which has impeded follow-up of chronic diseases, such as cognitive impairment (CI). Cognitive and neuropsychiatric changes during the COVID-19 pandemic are neglected in China, which is the world's whistleblower. To investigate the cognitive and neuropsychologic changes in CI, as well as the proportions of rapid cognitive decline (RCD) before and during the COVID-19 pandemic to provide clinical evidence for CI intervention during a public health emergency. Methods: We performed a descriptive and retrospective study based on medical records from the memory clinic of Tianjin Dementia Institute collected through face-to-face evaluations. Information of 205 patients with CI, including patients with mild cognitive impairment and dementia, of whom 131 with Alzheimer's disease (AD) were analyzed and compared to a control group before the COVID-19 pandemic. Results: Among the 205 CI patients, the scores on the Chinese Mini Mental State Examination (C-MMSE), the Montreal Cognitive Assessment (MoCA), activities of daily living (ADLs), and the global Neuropsychiatric Inventory (NPI) were significantly different at the baseline and follow-up evaluations (p < 0.05) after 14.07 (±2.87) months. The same findings were recorded among AD patients, and they exhibited more sleep disturbances at the follow-up than at baseline (32.8 vs. 20.6%, p = 0.035). When compared to the control group, slightly worse performance of cognitive, -1.00 (-4.00, 1.00) from the C-MMSE, -1.00 (-2.00, 0.00) on the MoCA, 1.00 (0.00, 9.00) on ADLs and neuropsychological 0.00 (-1.00, 3.50) on the global NPI profile, at the follow-up were presented, particularly for delusion, agitation, irritability, and appetite disturbances (p < 0.05). Twenty-five (19.1%) AD patients and 48 (36.6%) controls suffered RCD during the COVID-19 pandemic. Moreover, AD patients during the COVID-19 pandemic were 0.408 times (95% confidence interval: 0.232-0.716) less likely to suffer RCD than the control. Conclusion: Confinement might ease the cognitive and neuropsychiatric deterioration of AD patients compared to those not in crisis and help prevent RCD in AD patients.
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Affiliation(s)
- Jinghuan Gan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Shuai Liu
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China.,Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Tianjin, China.,Graduate School of Tianjin Medical University, Tianjin, China
| | - Hao Wu
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China.,Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Tianjin, China.,Graduate School of Tianjin Medical University, Tianjin, China
| | - Zhichao Chen
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Min Fei
- Graduate School of Tianjin Medical University, Tianjin, China.,Department of Neurology, Yuncheng Central Hospital of Shanxi Province, Shanxi, China
| | - Junying Xu
- Department of Neurology, Tianjin Baodi People's Hospital, Tianjin, China
| | - Yuchao Dou
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China.,Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Tianjin, China
| | - Xiaodan Wang
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China.,Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Tianjin, China
| | - Yong Ji
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China.,Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Tianjin, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
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808
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Li X, Shen M, Jin Y, Jia S, Zhou Z, Han Z, Zhang X, Tong X, Jiao J. The Effect of Cerebral Small Vessel Disease on the Subtypes of Mild Cognitive Impairment. Front Psychiatry 2021; 12:685965. [PMID: 34335331 PMCID: PMC8322581 DOI: 10.3389/fpsyt.2021.685965] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 06/09/2021] [Indexed: 11/13/2022] Open
Abstract
Objectives: Cerebral small vessel disease (CSVD) is the most common vascular cause of dementia, and mild cognitive impairment (MCI) is an intermediate state between dementia and normal cognitive aging. The present study investigated the main imaging features of CSVD on different MCI subtypes in memory clinics. Methods: A total of 236 patients with MCI and 85 healthy controls were included. One hundred nine amnestic MCI-multiple domains (amMCI), 38 amnestic MCI-single domain (asMCI), 36 non-amnestic MCI-multiple domains (namMCI), and 53 non-amnestic MCI-single domain (nasMCI) patients were diagnosed. All participants were evaluated with the cognitive assessments and imaging features including white matter hyperintensity (WMH), enlarged perivascular spaces (EPVS), cerebral microbleeds (CMBs), and cerebral atrophy according to a standard procedure. Results: The patients with amMCI, namMCI, and nasMCI had more high-grade basal ganglia EPVS compared with healthy controls, while the percentages of high-grade basal ganglia EPVS in the patients with amMCI were also more than those in patients with asMCI, namMCI, and nasMCI. There were more high-grade centrum semiovale EPVS in patients with amMCI in comparison with all other groups. The patients with amMCI and namMCI had more percentages of severe deep and periventricular WMH and deep CMBs compared with healthy controls. All MCI groups had higher scores of the medial temporal lobe atrophy than healthy controls, whereas the scores of the amMCI group were also higher than those of the namMCI and nasMCI groups. Conclusions: There were varied neuroimaging features of CSVD including cerebral atrophy in different MCI groups, which meant that vascular mechanism contributed to the prodromal stage of dementia.
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Affiliation(s)
- Xudong Li
- Department of Cognitive Disorder, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Miaoxin Shen
- Medical School, Xizang Minzu University, Xianyang, China
| | - Yi Jin
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
| | - Shuhong Jia
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
| | - Zhi Zhou
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
| | - Ziling Han
- Department of Cognitive Disorder, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xiangfei Zhang
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
| | - Xiaopeng Tong
- Medical School, Xizang Minzu University, Xianyang, China
| | - Jinsong Jiao
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
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809
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Xu L, Lv X, Wang H, Liu Q, Zhou S, Gao S, Yu X, Deng S, Wang S, Chang Z, Zhan S. Trends in Psychotropic Medication Prescriptions in Urban China From 2013 to 2017: National Population-Based Study. Front Psychiatry 2021; 12:727453. [PMID: 34512424 PMCID: PMC8424045 DOI: 10.3389/fpsyt.2021.727453] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Accepted: 08/02/2021] [Indexed: 11/13/2022] Open
Abstract
Purpose: Psychotropic medications are commonly used for treating mental disorders; however, there is currently no study on how commonly they are used in China. This study reported the trends in psychotropic medications prescriptions in urban China. Methods: A national population-based study was conducted using the China Health Insurance Research Association database to estimate the period prescription prevalence of 11 major classes of psychotropic medications annually during 2013-2017. The World Health Organization Anatomical Therapeutic Chemical (ATC) classification codes were used to identify psychotropic medications. Results: The prescription prevalence of any psychotropic medication increased from 8.110% (8.106-8.114%) in 2013 to 11.362% (11.357-11.366%) in 2017. The prescription prevalence of six classes increased significantly during 2013-2017, including sedatives-hypnotics (from 3.177 to 5.388%), anxiolytics (from 1.436 to 2.200%), antiepileptic drugs (from 1.416 to 2.140%), antipsychotics (from 0.809 to 1.156%), antidepressants (from 0.891 to 1.045%), and psycholeptic polypills (from 0.682 to 0.866%). The prescription prevalence of antidementia drugs increased from 0.069 to 0.122%, and mood stabilizers increased from 0.029 to 0.037%, although not statistically significant. The prescription prevalence of nootropic drugs, attention deficit hyperactivity disorder (ADHD) medications and drugs used in the treatment of addictive disorders was largely stable. Psychotropic medication prescription increased with age for all classes except for ADHD medications and mood stabilizers. Conclusion: Increasing trends in prescription prevalence were observed for most classes of psychotropic medications in urban China, although the prevalence was still lower than that in most developed countries. Further research is warranted to explore the potential treatment gap between China and most developed countries.
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Affiliation(s)
- Lu Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Xiaozhen Lv
- Beijing Dementia Key Lab, Dementia Care & Research Center, Peking University Institute of Mental Health (Sixth Hospital), Beijing, China.,National Health Commission Key Laboratory of Mental Health, National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Huali Wang
- Beijing Dementia Key Lab, Dementia Care & Research Center, Peking University Institute of Mental Health (Sixth Hospital), Beijing, China.,National Health Commission Key Laboratory of Mental Health, National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Qingjing Liu
- Beijing Brainpower Pharma Consulting Co., Ltd., Beijing, China
| | - Shuzhe Zhou
- Beijing Dementia Key Lab, Dementia Care & Research Center, Peking University Institute of Mental Health (Sixth Hospital), Beijing, China.,National Health Commission Key Laboratory of Mental Health, National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Shuangqing Gao
- Beijing Brainpower Pharma Consulting Co., Ltd., Beijing, China
| | - Xin Yu
- Beijing Dementia Key Lab, Dementia Care & Research Center, Peking University Institute of Mental Health (Sixth Hospital), Beijing, China.,National Health Commission Key Laboratory of Mental Health, National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Siwei Deng
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Shengfeng Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Zheng Chang
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Siyan Zhan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.,Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China.,Center for Intelligent Public Health, Institute for Artificial Intelligence, Peking University, Beijing, China
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810
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Zhan C, Wang Q, Liu J, Wang L, Chen Z, Pang H, Tu J, Ning X, Wang J, Fei S. Relationship Between Metabolic Syndrome and Cognitive Function: A Population-Based Study of Middle-Aged and Elderly Adults in Rural China. Diabetes Metab Syndr Obes 2021; 14:1927-1935. [PMID: 33958882 PMCID: PMC8096414 DOI: 10.2147/dmso.s308250] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Accepted: 03/31/2021] [Indexed: 12/25/2022] Open
Abstract
INTRODUCTION To explore the relationship between metabolic syndrome (MetS) and cognitive impairment in a low-income and low-education population. METHODS All residents aged ≥45 years in a low-income population in Tianjin, China, were eligible to participate in this study. The Mini-Mental State Examination (MMSE) scale was used to conduct a preliminary screening and assessment of the participants' cognitive statuses. The MMSE components are orientation, registration, attention and calculation, recall, and language. RESULTS In this population, the prevalences of MetS and cognitive impairment were 54.1% and 44.5%, respectively. In the overall population, the registration score was 0.105 points lower in the elevated triglycerides (TG) group than in the normal TG group (β, -0.105; 95% confidence interval [CI]: -0.201, -0.010; P=0.030). In men, high TG was associated with registration scores that were 0.152 points lower than those in the normal TG group (95% CI: -0.281, -0.022; P=0.022), while larger WC and lower HDL-C had positive effects on cognitive scores (all P<0.05). However, in women, there were no significant differences between cognitive scores and MetS or its components. CONCLUSION In this population, first, TG had a great impact on cognition, even greater than the impact of MetS on cognition. Second, the impact of MetS components on cognition was more obvious in men, and not all of the effects were negative. Therefore, the effect of MetS on cognition may need to be analyzed separately for different populations, and it may be that the effect of a single component is greater than the overall effect. When formulating prevention strategies for cognitive impairments, population differences must also be taken into consideration.
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Affiliation(s)
- Changqing Zhan
- Department of Neurology, The Second People’s Hospital of Wuhu, Wuhu, Anhui, People’s Republic of China
| | - Qiao Wang
- Department of Pathology, The Second People’s Hospital of Wuhu, Wuhu, Anhui, People’s Republic of China
| | - Jie Liu
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, 300052, People’s Republic of China
- Laboratory of Epidemiology, Tianjin Neurological Institute, Tianjin, 300052, People’s Republic of China
- Tianjin Neurological Institute, Key Laboratory of Post-Neuroinjury Neuro-Repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin, 300052, People’s Republic of China
| | - Lei Wang
- Department of Neurology, The Second People’s Hospital of Wuhu, Wuhu, Anhui, People’s Republic of China
| | - Zongsheng Chen
- Department of Neurology, The Second People’s Hospital of Wuhu, Wuhu, Anhui, People’s Republic of China
| | - Hongbo Pang
- Department of Neurology, The Second People’s Hospital of Wuhu, Wuhu, Anhui, People’s Republic of China
| | - Jun Tu
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, 300052, People’s Republic of China
- Laboratory of Epidemiology, Tianjin Neurological Institute, Tianjin, 300052, People’s Republic of China
- Tianjin Neurological Institute, Key Laboratory of Post-Neuroinjury Neuro-Repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin, 300052, People’s Republic of China
| | - Xianjia Ning
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, 300052, People’s Republic of China
- Laboratory of Epidemiology, Tianjin Neurological Institute, Tianjin, 300052, People’s Republic of China
- Tianjin Neurological Institute, Key Laboratory of Post-Neuroinjury Neuro-Repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin, 300052, People’s Republic of China
| | - Jinghua Wang
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, 300052, People’s Republic of China
- Laboratory of Epidemiology, Tianjin Neurological Institute, Tianjin, 300052, People’s Republic of China
- Tianjin Neurological Institute, Key Laboratory of Post-Neuroinjury Neuro-Repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin, 300052, People’s Republic of China
- Jinghua Wang Laboratory of Epidemiology, Tianjin Neurological Institute, Department of Neurology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, People’s Republic of ChinaTel +86-22-60817504Fax +86-22-60817448 Email
| | - Shizao Fei
- Department of Neurology, The Second People’s Hospital of Wuhu, Wuhu, Anhui, People’s Republic of China
- Correspondence: Shizao Fei Department of Neurology, The Second People’s Hospital of Wuhu, 259 Jiuhuazhong Road, Wuhu, 241000, Anhui Province, People’s Republic of ChinaTel +86-553-3909017Fax +86-553-3832545 Email
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