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Peña-Bautista C, Álvarez-Sánchez L, García-Lluch G, Raga L, Quevedo P, Peretó M, Balaguer A, Baquero M, Cháfer-Pericás C. Relationship between Plasma Lipid Profile and Cognitive Status in Early Alzheimer Disease. Int J Mol Sci 2024; 25:5317. [PMID: 38791355 PMCID: PMC11120743 DOI: 10.3390/ijms25105317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Revised: 05/09/2024] [Accepted: 05/10/2024] [Indexed: 05/26/2024] Open
Abstract
Alzheimer disease (AD) is a heterogeneous and complex disease in which different pathophysiological mechanisms are involved. This heterogenicity can be reflected in different atrophy patterns or clinical manifestations. Regarding biochemical pathways involved in early AD, lipid metabolism plays an important role; therefore, lipid levels have been evaluated as potential AD diagnosis biomarkers, and their levels could be related to different AD clinical manifestations. Therefore, the aim of this work is to study AD lipid profiles from early AD patients and evaluate their clinical significance. For this purpose, untargeted plasma lipidomic analysis was carried out in early AD patients (n = 31) diagnosed with cerebrospinal fluid (CSF) biomarkers. Cluster analysis was carried out to define early AD subgroups according to the lipid levels. Then, the clinical significance of each lipid profile subgroup was studied, analyzing differences for other variables (cognitive status, CSF biomarkers, medication, comorbidities, age, and gender). The cluster analysis revealed two different groups of AD patients. Cluster 1 showed higher levels of plasma lipids and better cognitive status than Cluster 2. However, no differences were found for the other variables (age, gender, medication, comorbidities, cholesterol, and triglycerides levels) between both groups. Plasma lipid levels could differentiate two early AD subgroups, which showed different cognitive statuses. However, further research with a large cohort and longitudinal study evaluating the clinical evolution of these patients is required. In general, it would involve a relevant advance in the knowledge of AD pathological mechanisms, potential treatments, and precision medicine.
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Affiliation(s)
- Carmen Peña-Bautista
- Alzheimer’s Disease Research Group, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain; (C.P.-B.); (L.Á.-S.); (G.G.-L.); (L.R.); (M.P.)
| | - Lourdes Álvarez-Sánchez
- Alzheimer’s Disease Research Group, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain; (C.P.-B.); (L.Á.-S.); (G.G.-L.); (L.R.); (M.P.)
| | - Gemma García-Lluch
- Alzheimer’s Disease Research Group, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain; (C.P.-B.); (L.Á.-S.); (G.G.-L.); (L.R.); (M.P.)
| | - Luis Raga
- Alzheimer’s Disease Research Group, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain; (C.P.-B.); (L.Á.-S.); (G.G.-L.); (L.R.); (M.P.)
| | - Paola Quevedo
- Alzheimer’s Disease Research Group, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain; (C.P.-B.); (L.Á.-S.); (G.G.-L.); (L.R.); (M.P.)
| | - Mar Peretó
- Alzheimer’s Disease Research Group, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain; (C.P.-B.); (L.Á.-S.); (G.G.-L.); (L.R.); (M.P.)
| | - Angel Balaguer
- Faculty of Mathematical Sciences, University of Valencia, 46100 Burjassot, Spain;
| | - Miguel Baquero
- Alzheimer’s Disease Research Group, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain; (C.P.-B.); (L.Á.-S.); (G.G.-L.); (L.R.); (M.P.)
- Division of Neurology, Hospital Universitari I Politècnic La Fe, 46026 Valencia, Spain
| | - Consuelo Cháfer-Pericás
- Alzheimer’s Disease Research Group, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain; (C.P.-B.); (L.Á.-S.); (G.G.-L.); (L.R.); (M.P.)
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Ai Y, Zhou C, Wang M, Yang C, Zhou S, Dong X, Ye N, Li Y, Wang L, Ren H, Gao X, Xu M, Hu H, Wang Y. Higher remnant cholesterol is associated with an increased risk of amnestic mild cognitive impairment: a community-based cross-sectional study. Front Aging Neurosci 2024; 16:1332767. [PMID: 38410746 PMCID: PMC10894954 DOI: 10.3389/fnagi.2024.1332767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Accepted: 01/29/2024] [Indexed: 02/28/2024] Open
Abstract
Background and aims Amnestic mild cognitive impairment (aMCI) is the most common subtype of MCI, which carries a significantly high risk of transitioning to Alzheimer's disease. Recently, increasing attention has been given to remnant cholesterol (RC), a non-traditional and previously overlooked risk factor. The aim of this study was to explore the association between plasma RC levels and aMCI. Methods Data were obtained from Brain Health Cognitive Management Team in Wuhan (https://hbtcm.66nao.com/admin/). A total of 1,007 community-dwelling elders were recruited for this project. Based on ten tools including general demographic data, cognitive screening and some exclusion scales, these participants were divided into the aMCI (n = 401) and normal cognitive groups (n = 606). Physical examinations were conducted on all participants, with clinical indicators such as blood pressure, blood sugar, and blood lipids collected. Results The aMCI group had significantly higher RC levels compared to the normal cognitive group (0.64 ± 0.431 vs. 0.52 ± 0.447 mmol/L, p < 0.05). Binary logistics regression revealed that occupation (P<0.001, OR = 0.533, 95%CI: 0.423-0.673) and RC (p = 0.014, OR = 1.477, 95% CI:1.081-2.018) were associated factors for aMCI. Partial correlation analysis, after controlling for occupation, showed a significant negative correlation between RC levels and MoCA scores (r = 0.059, p = 0.046), as well as Naming scores (r = 0.070, p = 0.026). ROC curve analysis demonstrated that RC levels had an independent predictive efficacy in predicting aMCI (AUC = 0.580, 95%CI: 0.544 ~ 0.615, P < 0.001). Conclusion Higher RC levels were identified as an independent indicator for aMCI, particularly in the naming cognitive domain among older individuals. Further longitudinal studies are necessary to validate the predictive efficacy of RC.
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Affiliation(s)
- Yating Ai
- School of Nursing, Hubei University of Chinese Medicine, Wuhan, China
- Hubei Shizhen Laboratory, Hubei University of Chinese Medicine, Wuhan, China
- Engineering Research Center of TCM Protection Technology and New Product Development for the Elderly Brain Health, Ministry of Education, Hubei University of Chinese Medicine, Wuhan, China
| | - Chunyi Zhou
- School of Nursing, Hubei University of Chinese Medicine, Wuhan, China
| | - Ming Wang
- Tianyou Hospital, Wuhan University of Science and Technology, Wuhan, China
| | - Chongming Yang
- Research Support Center, Brigham Young University, Provo, UT, United States
| | - Shi Zhou
- School of Nursing, Hubei University of Chinese Medicine, Wuhan, China
| | - Xinxiu Dong
- School of Nursing, Hubei University of Chinese Medicine, Wuhan, China
| | - Niansi Ye
- School of Nursing, Hubei University of Chinese Medicine, Wuhan, China
| | - Yucan Li
- School of Nursing, Hubei University of Chinese Medicine, Wuhan, China
| | - Ling Wang
- School of Nursing, Hubei University of Chinese Medicine, Wuhan, China
| | - Hairong Ren
- School of Nursing, Hubei University of Chinese Medicine, Wuhan, China
| | - Xiaolian Gao
- School of Nursing, Hubei University of Chinese Medicine, Wuhan, China
| | - Man Xu
- School of Nursing, Hubei University of Chinese Medicine, Wuhan, China
| | - Hui Hu
- School of Nursing, Hubei University of Chinese Medicine, Wuhan, China
- Hubei Shizhen Laboratory, Hubei University of Chinese Medicine, Wuhan, China
- Engineering Research Center of TCM Protection Technology and New Product Development for the Elderly Brain Health, Ministry of Education, Hubei University of Chinese Medicine, Wuhan, China
| | - Yuncui Wang
- School of Nursing, Hubei University of Chinese Medicine, Wuhan, China
- Hubei Shizhen Laboratory, Hubei University of Chinese Medicine, Wuhan, China
- Engineering Research Center of TCM Protection Technology and New Product Development for the Elderly Brain Health, Ministry of Education, Hubei University of Chinese Medicine, Wuhan, China
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Kasprzak D, Kaczmarek-Majer K, Rzeźniczak J, Klamecka-Pohl K, Ganowicz-Kaatz T, Słomczyński M, Budzianowski J, Pieszko K, Hiczkiewicz J, Tykarski A, Burchardt P. Cognitive Impairment in Cardiovascular Patients after Myocardial Infarction: Prospective Clinical Study. J Clin Med 2023; 12:4954. [PMID: 37568355 PMCID: PMC10420195 DOI: 10.3390/jcm12154954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 07/18/2023] [Accepted: 07/26/2023] [Indexed: 08/13/2023] Open
Abstract
(1) Background: Assessment of cognitive function is not routine in cardiac patients, and knowledge on the subject remains limited. The aim of this study was to assess post-myocardial infarction (MI) cognitive functioning in order to determine the frequency of cognitive impairment (CI) and to identify factors that may influence it. (2) Methods: A prospective study included 468 patients hospitalized for MI. Participants were assessed twice: during the first hospitalization and 6 months later. The Mini-Mental State Examination was used to assess the occurrence of CI. (3) Results: Cognitive dysfunction based on the MMSE was found in 37% (N-174) of patients during the first hospitalization. After 6 months, the prevalence of deficits decreased significantly to 25% (N-91) (p < 0.001). Patients with CI significantly differed from those without peri-infarction deficits in the GFR, BNP, ejection fraction and SYNTAX score, while after 6 months, significant differences were observed in LDL and HCT levels. There was a high prevalence of non-cognitive mental disorders among post-MI patients. (4) Conclusions: There is a high prevalence of CI and other non-cognitive mental disorders, such as depression, sleep disorders and a tendency to aggression, among post-MI patients. The analysis of the collected material indicates a significant impact of worse cardiac function expressed as EF and BNP, greater severity of coronary atherosclerosis expressed by SYNTAX results, and red blood cell parameters and LDL levels on the occurrence of CI in the post-MI patient population.
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Affiliation(s)
| | - Katarzyna Kaczmarek-Majer
- Stochastic Methods Department, System Research Institute, Polish Academy of Sciences, 01-447 Warsaw, Poland
- Analyx Sp. z o.o. sp.k., 61-887 Poznań, Poland
| | | | | | | | | | - Jan Budzianowski
- Faculty of Medicine and Health Sciences, University of Zielona Góra, 65-417 Zielona Góra, Poland
| | - Konrad Pieszko
- Faculty of Medicine and Health Sciences, University of Zielona Góra, 65-417 Zielona Góra, Poland
| | - Jarosław Hiczkiewicz
- Faculty of Medicine and Health Sciences, University of Zielona Góra, 65-417 Zielona Góra, Poland
| | - Andrzej Tykarski
- Department of Hypertension, Angiology, and Internal Medicine, Poznan University of Medical Sciences, 61-848 Poznań, Poland
| | - Paweł Burchardt
- Department of Cardiology, J. Strus Hospital, 61-285 Poznań, Poland
- Department of Hypertension, Angiology, and Internal Medicine, Poznan University of Medical Sciences, 61-848 Poznań, Poland
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Lor YCM, Tsou MT, Tsai LW, Tsai SY. The factors associated with cognitive function among community-dwelling older adults in Taiwan. BMC Geriatr 2023; 23:116. [PMID: 36864383 PMCID: PMC9983251 DOI: 10.1186/s12877-023-03806-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 02/07/2023] [Indexed: 03/04/2023] Open
Abstract
BACKGROUND This research aimed to investigate the associations of anthropometric measurements, physiological parameters, chronic disease comorbidities, and social and lifestyle factors with cognitive function amongst community-dwelling older adults in Taiwan. METHODS This was an observational, cross-sectional study involving 4,578 participants at least 65 years old, recruited between January 2008 and December 2018 from the Annual Geriatric Health Examinations Program. Cognitive function was assessed using the short portable mental state questionnaire (SPMSQ). Multivariable logistic regression was done to analyze the factors associated with cognitive impairment. RESULTS Among the 4,578 participants, 103 people (2.3%) with cognitive impairment were identified. Associated factors were age (odds ratio (OR) = 1.16, 95% confidence interval (CI) = 1.13,1.20), male gender (OR = 0.39, 95% CI = 0.21,0.72), diabetes mellitus (DM) (OR = 1.70, 95% CI = 1.03, 2.82), hyperlipidemia (OR = 0.47, 95% CI = 0.25, 0.89), exercise (OR = 0.44, 95% CI = 0.34, 0.56), albumin (OR = 0.37, 95% CI = 0.15, 0.88), and high-density lipoprotein (HDL) (OR = 0.98, 95% CI = 0.97, 1.00). Whereas waistline, alcohol intake in recent six months, and hemoglobin was not significantly associated with cognitive impairment (all p > 0.05). CONCLUSIONS Our findings suggested that people with older age and a history of DM had a higher risk of cognitive impairment. Male gender, a history of hyperlipidemia, exercise, a high albumin level, and a high HDL level seemed to be associated with a lower risk of cognitive impairment amongst older adults.
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Affiliation(s)
- You-Chen Mary Lor
- Department of Family Medicine, Hsinchu MacKay Memorial Hospital, No. 690, Section 2, Guangfu Road, East District, Hsinchu, 300, Taiwan
| | - Meng-Ting Tsou
- Department of Family Medicine, MacKay Memorial Hospital, Taipei, Taiwan.,Department of Nursing and Management, MacKay Junior College of Medicine, New Taipei City, Taiwan
| | - Li-Wei Tsai
- Department of Surgical Oncology, National Taiwan University Cancer Center, Taipei, Taiwan.,Department of Surgery, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Szu-Ying Tsai
- Department of Family Medicine, Hsinchu MacKay Memorial Hospital, No. 690, Section 2, Guangfu Road, East District, Hsinchu, 300, Taiwan.
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Yu Y, Yan P, Cheng G, Liu D, Xu L, Yang M, Xu H, Cheng X, Lian P, Zeng Y. Correlation between serum lipid profiles and cognitive impairment in old age: a cross-sectional study. Gen Psychiatr 2023; 36:e101009. [PMID: 37144157 PMCID: PMC10151832 DOI: 10.1136/gpsych-2023-101009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Accepted: 04/04/2023] [Indexed: 05/06/2023] Open
Abstract
Background The correlation between cognitive function and lipid profiles, including total cholesterol, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) and triglycerides, is inconsistent. Aims This cross-sectional study investigated the association between serum lipid levels and the prevalence of cognitive impairment among community-dwelling older adults and explored this difference in association by gender and urban-rural residency. Methods Participants aged 65 and above in urban and rural areas were recruited between 2018 and 2020, selected from the Hubei Memory and Aging Cohort Study. Detailed neuropsychological evaluations, clinical examinations and laboratory tests were conducted in community health service centres. Multivariate logistic regression was used to analyse the correlation between serum lipid profiles and the prevalence of cognitive impairment. Results We identified 1 336 cognitively impaired adults (≥65 years)-1 066 with mild cognitive impairment and 270 with dementia-from 4 746 participants. Triglycerides level was correlated with cognitive impairment in the total sample (χ2=6.420, p=0.011). In gender-stratified multivariate analysis, high triglycerides in males reduced the risk of cognitive impairment (OR: 0.785, 95% CI: 0.623 to 0.989, p=0.040), and high LDL-C in females increased the risk of cognitive impairment (OR: 1.282, 95% CI: 1.040 to 1.581, p=0.020). In both gender-stratified and urban-rural stratified multivariate analyses, high triglycerides reduced the risk of cognitive impairment in older urban men (OR: 0.734, 95% CI: 0.551 to 0.977, p=0.034), and high LDL-C increased the risk of cognitive impairment in older rural women (OR: 1.830, 95% CI: 1.119 to 2.991, p=0.016). Conclusions There are gender and urban-rural differences in the correlation of serum lipids with cognitive impairment. High triglycerides levels may be a protective factor for cognitive function in older urban men, while high LDL-C levels may be a risk factor for cognitive function in older rural women.
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Affiliation(s)
- Yafu Yu
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology School of Medicine, Wuhan, Hubei, China
| | - Pingting Yan
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology School of Medicine, Wuhan, Hubei, China
- Xiangyang No. 1 People's Hospital Affiliated to Hubei University of Medicine, Xiangyang, Hubei, China
| | - Guirong Cheng
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology School of Medicine, Wuhan, Hubei, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei, China
| | - Dan Liu
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology School of Medicine, Wuhan, Hubei, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei, China
| | - Lang Xu
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology School of Medicine, Wuhan, Hubei, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei, China
| | - Mengliu Yang
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology School of Medicine, Wuhan, Hubei, China
| | - Heng Xu
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology School of Medicine, Wuhan, Hubei, China
| | - Xi Cheng
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology School of Medicine, Wuhan, Hubei, China
| | - Pengfei Lian
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology School of Medicine, Wuhan, Hubei, China
| | - Yan Zeng
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology School of Medicine, Wuhan, Hubei, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei, China
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Associations among drinking water quality, dyslipidemia, and cognitive function for older adults in China: evidence from CHARLS. BMC Geriatr 2022; 22:683. [PMID: 35982405 PMCID: PMC9386986 DOI: 10.1186/s12877-022-03375-y] [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: 01/14/2022] [Accepted: 07/29/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The current study aimed to examine the association between drinking water quality and cognitive function and to identify the direct and indirect effects of drinking water quality and dyslipidemia on cognitive function among older adults in China. METHODS Primary data for the study were selected from China Health and Retirement Longitudinal Study (CHARLS, 2015) and 4,951 respondents aged 60 and above were included. Data on drinking water quality were selected from the 2015 prefectural water quality data from the Institute of Public and Environment Affairs in China and measured by the Blue City Water Quality Index. Dyslipidemia was measured by self-reported dyslipidemia diagnosis and lipid panel. Three composite measures of cognitive function included mental status, episodic memory, and global cognition. Mixed effects models were conducted to assess the associations between drinking water quality or dyslipidemia and cognitive function. The mediation effects of dyslipidemia were examined by path analyses. RESULTS Exposure to high quality drinking water was significantly associated with higher scores in mental status, episodic memory, and global cognition (β = 0.34, p < 0.001 for mental status; β = 0.24, p < 0.05 for episodic memory; β = 0.58, p < 0.01 for global cognition). Respondents who reported dyslipidemia diagnosis had higher scores in the three composite measures of cognitive function (β = 0.39, p < 0.001 for mental status; β = 0.27 p < 0.05 for episodic memory; β = 0.66, p < 0.001 for global cognition). An elevated blood triglycerides was only associated with higher scores in mental status (β = 0.21, p < 0.05). Self-reported dyslipidemia diagnosis was a suppressor, which increased the magnitude of the direct effect of drinking water quality on mental status, episodic memory, and global cognition. CONCLUSION Drinking water quality was associated with cognitive function in older Chinese and the relationship was independent of natural or socioeconomic variations in neighborhood environments. Improving drinking water quality could be a potential public health effort to delay the onset of cognitive impairment and prevent the dementia pandemic in older people.
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Nantachai G, Vasupanrajit A, Tunvirachaisakul C, Solmi M, Maes M. Oxidative stress and antioxidant defenses in mild cognitive impairment: A systematic review and meta-analysis. Ageing Res Rev 2022; 79:101639. [PMID: 35537662 DOI: 10.1016/j.arr.2022.101639] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 04/02/2022] [Accepted: 05/04/2022] [Indexed: 12/26/2022]
Abstract
This study aims to systematically review and meta-analyze the nitro-oxidative stress (O&NS)/antioxidant (ANTIOX) ratio in the peripheral blood of people with mild cognitive impairment (MCI). We searched PubMed, Scopus, Google Scholar, and Web of Science for articles published from inception until July 31, 2021. Forty-six studies on 3.798 MCI individuals and 6.063 healthy controls were included. The O&NS/ANTIOX ratio was significantly higher in MCI than in controls with a Standardized Mean Difference (SMD)= 0.378 (95% CI: 0.250; 0.506). MCI individuals showed increased lipid peroxidation (SMD=0.774, 95%CI: 4.416; 1.132) and O&NS-associated toxicity (SMD=0.621, CI: 0.377; 0.865) and reduced glutathione (GSH) defenses (SMD=0.725, 95%CI: 0.269; 1.182) as compared with controls. MCI was also accompanied by significantly increased homocysteine (SMD=0.320, CI: 0.059; 0.581), but not protein oxidation, and lowered non-vitamin (SMD=0.347, CI: 0.168; 0.527) and vitamin (SMD=0.564, CI: 0.129; 0.999) antioxidant defenses. The results show that MCI is at least in part due to increased neuro-oxidative toxicity and suggest that treatments targeting lipid peroxidation and the GSH system may be used to treat or prevent MCI.
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Affiliation(s)
- Gallayaporn Nantachai
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand; Somdet Phra Sungharaj Nyanasumvara Geriatric Hospital, Department of Medical Services, Ministry of Public health, Chon Buri Province, Thailand.
| | - Asara Vasupanrajit
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Chavit Tunvirachaisakul
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand; Cognitive Impairment and Dementia Research Unit, Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Marco Solmi
- Department of Psychiatry, University of Ottawa, Ontario, Canada; Department of Mental Health, The Ottawa Hospital, Ontario, Canada; Ottawa Hospital Research Institute (OHRI) Clinical Epidemiology Program University of Ottawa, Ottawa, Ontario, Canada; Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Institute of Psychiatry, Psychology & Neuroscience, Department of Psychosis Studies, King's College London, London, United Kingdom; Centre for Innovation in Mental Health-Developmental Lab, School of Psychology, University of Southampton, and NHS Trust, Southampton, United Kingdom
| | - Michael Maes
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand; Cognitive Impairment and Dementia Research Unit, Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand; IMPACT Strategic Research Center, Deakin University, Geelong, Australia; Department of Psychiatry, Medical University of Plovdiv, Plovdiv, Bulgaria.
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Yang J, Sui H, Jiao R, Zhang M, Zhao X, Wang L, Deng W, Liu X. Random-Forest-Algorithm-Based Applications of the Basic Characteristics and Serum and Imaging Biomarkers to Diagnose Mild Cognitive Impairment. Curr Alzheimer Res 2022; 19:76-83. [PMID: 35088670 PMCID: PMC9189735 DOI: 10.2174/1567205019666220128120927] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Revised: 12/04/2021] [Accepted: 01/13/2022] [Indexed: 11/24/2022]
Abstract
Background
Mild cognitive impairment (MCI) is considered the early stage of Alzheimer's Disease (AD). The purpose of our study was to analyze the basic characteristics and serum and imaging biomarkers for the diagnosis of MCI patients as a more objective and accurate approach. Methods
The Montreal Cognitive Test was used to test 119 patients aged ≥65. Such serum biomarkers were detected as preprandial blood glucose, triglyceride, total cholesterol, Aβ1-40, Aβ1-42, and P-tau. All the subjects were scanned with 1.5T MRI (GE Healthcare, WI, USA) to obtain DWI, DTI, and ASL images. DTI was used to calculate the anisotropy fraction (FA), DWI was used to calculate the apparent diffusion coefficient (ADC), and ASL was used to calculate the cerebral blood flow (CBF). All the images were then registered to the SPACE of the Montreal Neurological Institute (MNI). In 116 brain regions, the medians of FA, ADC, and CBF were extracted by automatic anatomical labeling. The basic characteristics included gender, education level, and previous disease history of hypertension, diabetes, and coronary heart disease. The data were randomly divided into training sets and test ones. The recursive random forest algorithm was applied to the diagnosis of MCI patients, and the recursive feature elimination (RFE) method was used to screen the significant basic features and serum and imaging biomarkers. The overall accuracy, sensitivity, and specificity were calculated, respectively, and so were the ROC curve and the area under the curve (AUC) of the test set. Results
When the variable of the MCI diagnostic model was an imaging biomarker, the training accuracy of the random forest was 100%, the correct rate of the test was 86.23%, the sensitivity was 78.26%, and the specificity was 100%. When combining the basic characteristics, the serum and imaging biomarkers as variables of the MCI diagnostic model, the training accuracy of the random forest was found to be 100%; the test accuracy was 97.23%, the sensitivity was 94.44%, and the specificity was 100%. RFE analysis showed that age, Aβ1-40, and cerebellum_4_6 were the most important basic feature, serum biomarker, imaging biomarker, respectively. Conclusion
Imaging biomarkers can effectively diagnose MCI. The diagnostic capacity of the basic trait biomarkers or serum biomarkers for MCI is limited, but their combination with imaging biomarkers can improve the diagnostic capacity, as indicated by the sensitivity of 94.44% and the specificity of 100% in our model. As a machine learning method, a random forest can help diagnose MCI effectively while screening important influencing factors.
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Affiliation(s)
- Juan Yang
- Department of Neurology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200092, China
- Department of Neurology, Shanghai Pudong New Area People's Hospital,Shanghai, 201299, China
| | - Haijing Sui
- Department of Radiology, Shanghai Pudong New Area People's Hospital, Shanghai, People's Republic of China
| | - Ronghong Jiao
- Department of Clinical Laboratory, Shanghai Pudong New Area People's Hospital, Shanghai, People's Republic of China
| | - Min Zhang
- hcit.ai Co., Shanghai, People's Republic of China
| | - Xiaohui Zhao
- Department of Neurology, Shanghai Pudong New Area People's Hospital, Shanghai, People's Republic of China
| | - Lingling Wang
- Department of Neurology, Shanghai Pudong New Area People's Hospital, Shanghai, People's Republic of China
| | - Wenping Deng
- Huawei Technology Co., Ltd Co, Shanghai, People's Republic of China
| | - Xueyuan Liu
- Department of Neurology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200092, China
- Department of Neurology, Shanghai Pudong New Area People's Hospital,Shanghai, 201299, China
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Canfora F, Calabria E, Cuocolo R, Ugga L, Buono G, Marenzi G, Gasparro R, Pecoraro G, Aria M, D'Aniello L, Mignogna MD, Adamo D. Burning Fog: Cognitive Impairment in Burning Mouth Syndrome. Front Aging Neurosci 2021; 13:727417. [PMID: 34475821 PMCID: PMC8406777 DOI: 10.3389/fnagi.2021.727417] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Accepted: 07/14/2021] [Indexed: 01/25/2023] Open
Abstract
Background: Due to its common association with chronic pain experience, cognitive impairment (CI) has never been evaluated in patients with burning mouth syndrome (BMS). The purpose of this study is to assess the prevalence of CI in patients with BMS and to evaluate its relationship with potential predictors such as pain, mood disorders, blood biomarkers, and white matter changes (WMCs). Methods: A case-control study was conducted by enrolling 40 patients with BMS and an equal number of healthy controls matched for age, gender, and education. Neurocognitive assessment [Mini Mental State Examination (MMSE), Digit Cancellation Test (DCT), the Forward and Backward Digit Span task (FDS and BDS), Corsi Block-Tapping Test (CB-TT), Rey Auditory Verbal Learning Test (RAVLT), Copying Geometric Drawings (CGD), Frontal Assessment Battery (FAB), and Trail Making A and B (TMT-A and TMT-B)], psychological assessment [Hamilton Rating Scale for Depression and Anxiety (HAM-D and HAM-A), Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), and 36-Item Short Form Health Survey (SF-36)], and pain assessment [Visual Analogic Scale (VAS), Total Pain Rating index (T-PRI), Brief Pain Inventory (BPI), and Pain DETECT Questionnaire (PD-Q)] were performed. In addition, blood biomarkers and MRI of the brain were recorded for the detection of Age-Related WMCs (ARWMCs). Descriptive statistics, the Mann-Whitney U-test, the Pearson Chi-Squared test and Spearman's correlation analysis were used. Results: Patients with BMS had impairments in most cognitive domains compared with controls (p < 0.001**) except in RAVLT and CGD. The HAM-D, HAM-A, PSQI, ESS, SF-36, VAS, T-PRI, BPI and PD-Q scores were statistically different between BMS patients and controls (p < 0.001**) the WMCs frequency and ARWMC scores in the right temporal (RT) and left temporal (LT) lobe were higher in patients with BMS (p = 0.023*). Conclusions: Meanwhile, BMS is associated with a higher decline in cognitive functions, particularly attention, working memory, and executive functions, but other functions such as praxis-constructive skills and verbal memory are preserved. The early identification of CI and associated factors may help clinicians to identify patients at risk of developing time-based neurodegenerative disorders, such as Alzheimer's disease (AD) and vascular dementia (VD), for planning the early, comprehensive, and multidisciplinary assessment and treatment.
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Affiliation(s)
- Federica Canfora
- Department of Neurosciences, Reproductive Sciences and Dentistry, University of Naples "Federico II", Naples, Italy
| | - Elena Calabria
- Department of Neurosciences, Reproductive Sciences and Dentistry, University of Naples "Federico II", Naples, Italy
| | - Renato Cuocolo
- Department of Clinical Medicine and Surgery, University of Naples "Federico II", Naples, Italy
| | - Lorenzo Ugga
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy
| | - Giuseppe Buono
- Department of Diagnostical Morphological and Functional, University of Naples "Federico II", Naples, Italy
| | - Gaetano Marenzi
- Department of Neurosciences, Reproductive Sciences and Dentistry, University of Naples "Federico II", Naples, Italy
| | - Roberta Gasparro
- Department of Neurosciences, Reproductive Sciences and Dentistry, University of Naples "Federico II", Naples, Italy
| | - Giuseppe Pecoraro
- Department of Neurosciences, Reproductive Sciences and Dentistry, University of Naples "Federico II", Naples, Italy
| | - Massimo Aria
- Department of Economics and Statistics, University of Naples "Federico II", Naples, Italy
| | - Luca D'Aniello
- Department of Economics and Statistics, University of Campania "Luigi Vanvitelli", Caserta, Italy
| | - Michele Davide Mignogna
- Department of Neurosciences, Reproductive Sciences and Dentistry, University of Naples "Federico II", Naples, Italy
| | - Daniela Adamo
- Department of Neurosciences, Reproductive Sciences and Dentistry, University of Naples "Federico II", Naples, Italy
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Liu H, Zou L, Zhou R, Zhang M, Gu S, Zheng J, Hukportie DN, Wu K, Huang Z, Yuan Z, Wu X. Long-Term Increase in Cholesterol Is Associated With Better Cognitive Function: Evidence From a Longitudinal Study. Front Aging Neurosci 2021; 13:691423. [PMID: 34220488 PMCID: PMC8248815 DOI: 10.3389/fnagi.2021.691423] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 05/18/2021] [Indexed: 12/16/2022] Open
Abstract
Background: Higher visit-to-visit cholesterol has been associated with cognitive decline. However, the association between long-term increase or decrease in cholesterol and cognitive decline remains unclear. Methods: A total of 4,915 participants aged ≥45 years with normal cognition in baseline were included. The participants were divided into four groups, namely low-low, low-high, high-low, and high-high, according to the diagnostic thresholds of total cholesterol (TC), non-high-density lipoprotein cholesterol (NHDL-C), low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol (HDL-C) after 4 years of follow-up. Cognitive function was assessed by episodic memory and mental intactness. Binary logistic regression was used to analyse the association of cholesterol variation with cognitive decline. Results: Among the participants, 979 (19.9%) experienced global cognitive decline. The odds ratio (OR) of global cognitive and memory function decline were remarkably lower in participants in the low-high NHDL-C group than those in the low-low group [OR and 95% confidence interval (CI): 0.50 [0.26-0.95] for global cognitive decline, 0.45 [0.25-0.82] for memory function decline]. The lower OR was also significant in females (OR [95% CI]: 0.38 [0.17-0.87] for global cognitive decline; 0.44 [0.19-0.97] for memory function decline) and participants without cardiovascular disease (OR [95% CI]: 0.31 [0.11-0.87] for global cognitive decline; 0.34 [0.14-0.83] for memory function decline). The increases in other cholesterol were also negatively associated with the risk of cognitive decline although not significantly. Conclusions: A longitudinal increase in NHDL-C may be protective for cognition in females or individuals without cardiovascular disease.
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Affiliation(s)
- Huamin Liu
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Lianwu Zou
- Department of Psychiatry, Baiyun Psychiatric Rehabilitation Hospital, Guangzhou, China
| | - Rui Zhou
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Minyi Zhang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Shanyuan Gu
- Inpatient Department, Baiyun Psychiatric Rehabilitation Hospital, Guangzhou, China
| | - Jiazhen Zheng
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Daniel Nyarko Hukportie
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Keyi Wu
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Zhiwei Huang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Zelin Yuan
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Xianbo Wu
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
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Interaction between Subjective Memory Decline and Depression Symptom Intensity in Older People. Results of the Second Wave of Cognition of Older People, Education, Recreational Activities, Nutrition, Comorbidities, and Functional Capacity Studies (COPERNICUS). J Clin Med 2021; 10:jcm10071334. [PMID: 33804811 PMCID: PMC8038085 DOI: 10.3390/jcm10071334] [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: 01/14/2021] [Revised: 03/08/2021] [Accepted: 03/17/2021] [Indexed: 11/26/2022] Open
Abstract
Background: Prevalence of subjective memory impairment (SMC), with or without objective memory impairment, and the mediating role of depression symptom intensity was examined in older people. Methods: n = 205 subjects (60 years old and older) were examined and followed up at two years. Cognitive function was examined using the Montreal Cognitive Assessment (MoCA) Delayed Recall (DR) subtest. Geriatric Depression Scale (GDS) was used as a screening tool for depression. Statistical analysis was performed using linear mixed models. Results: A total of 144 subjects (70.24%) had SMC. MoCA Delayed Recall scores were not significantly changed in relation to time and SMC. Dynamics of SMC significantly influenced changes in GDS score (p = 0.008). Conclusions: SMC and objective memory impairment do not fully overlap each other. Subjects without SMC for longer than two years noted less intensity of depression symptoms in comparison to subgroup with SMC. However, occurrence of SMC in subjects who were previously free of SMC, was not related to increase in depression symptom intensity.
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