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Li S, Yan H, Pan Y, Zhang Y. Association of the sarcopenia index with cognitive impairment in a middle-aged to older patients with acute ischemic stroke or transient ischemic attack: A multicenter cohort study. J Nutr Health Aging 2024; 28:100241. [PMID: 38669837 DOI: 10.1016/j.jnha.2024.100241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Revised: 04/08/2024] [Accepted: 04/13/2024] [Indexed: 04/28/2024]
Abstract
OBJECTIVES The sarcopenia (SI) index, defined as the serum creatinine to cystatin C ratio, is considered a predictor of poor muscle health and malnutrition, which is related to major adverse cardiovascular events. However, the effect of the SI index on cognitive function in stroke patients remains unknown. In this study, we aimed to examine the association between the SI and longitudinal cognitive impairment in patients with acute ischemic stroke or transient ischemic attack. RESEARCH DESIGN AND METHODS Participants who met the inclusion criteria in this national, multicenter, prospective cohort study were enrolled from the Impairment of Cognition and Sleep (ICONS) study of the China National Stroke Registry-3 (CNSR-3). They were categorized into four groups according to the quartile of the SI index. Cognitive function was assessed using the Montreal Cognitive Assessment (MoCA) scale. Multivariable-adjusted logistic regression models were performed to evaluate the association between the SI index and post-stroke cognitive impairment (PSCI) at the 3-month follow-up. Moreover, discrimination tests were used to evaluate the incremental predictive value of the SI index beyond the potential risk factors. Furthermore, we performed subgroup analyses to test interactions. RESULTS Among the enrolled participants, the lower the SI index was, the worse the cognitive performance. At the 3-month follow-up, participants in the lowest SI quartile group exhibited a 42% increase in the risk of cognitive impairment relative to the highest quartile group [OR 0.58 (95% CI 0.37-0.90)]. Moreover, after applying the discrimination test, adding the SI index into the potential risk factors resulted in a slight improvement in predicting the risk of cognitive impairment [NRI 14% (P = 0.01)]. CONCLUSION This study demonstrated that a lower sarcopenia index was positively associated with a higher prevalence of PSCI. Monitoring the SI index in stroke patients and early identification and treatment of individuals with low SI level may be helpful to reduce the risk of cognitive impairment.
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Affiliation(s)
- Siqi Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; China National Clinical Research Center for Neurological Diseases, Capital Medical University, Beijing 100070, China
| | - Hongyi Yan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; China National Clinical Research Center for Neurological Diseases, Capital Medical University, Beijing 100070, China
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; China National Clinical Research Center for Neurological Diseases, Capital Medical University, Beijing 100070, China
| | - Yumei Zhang
- Department of Rehabilitation Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
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Li X, Bae JH, Lim B, Seo JW, Sung Y, Jiang S, Jamrasi P, Ahn S, Shin C, Pan M, Song W. Impact of Taekwondo training on cognitive and physical function in elderly individuals: A comprehensive review of randomized controlled trials. Complement Ther Clin Pract 2024; 57:101878. [PMID: 38959563 DOI: 10.1016/j.ctcp.2024.101878] [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: 03/07/2024] [Revised: 06/21/2024] [Accepted: 06/24/2024] [Indexed: 07/05/2024]
Abstract
BACKGROUND Researchers have investigated the physical and psychosocial advantages of Taekwondo for older adults. However, prior studies of Taekwondo's impact on physical function and psychological well-being in this demographic have produced inconsistent findings. Thus, this systematic review aimed to assess how Taekwondo practice affects the physical function and psychological well-being of older adults. METHODS We systematically searched PubMed, EMBASE, CINAHL, SPORTDiscus, Scopus, Korea Education and Research Information Service, Korean Studies Information Service System, Korean National Assembly Library, Research Information Sharing Service, National Digital Science Library, and China National Knowledge Infrastructure from their inception to December 2023. Two reviewers independently selected and extracted data from each study. We calculated effect sizes using a random-effects model with a 95 % confidence interval (CI) and evaluated study quality using the Physiotherapy Evidence Database scale. RESULTS This review included ten studies with 227 participants aged 66.1-73.6 years. The meta-analysis revealed significant enhancements in cognitive function [Korean Version of Mini-Mental State Examination, standard mean difference (SMD) = 0.700, 95 % CI (0.364-1.037), I2 = 0 %, p < .001], blood indicators [β-amyloid, SMD = 0.613, 95 % CI (0.103-1.123), I2 = 34.920 %, p < .05; brain-derived neurotrophic factor, SMD = 0.566, 95 % CI (0.166-0.966), I2 = 0 %, p < .01; high-density lipoprotein cholesterol, SMD = 0.677, 95 % CI (0.357-0.966), I2 = 0 %, p < .001; low-density lipoprotein cholesterol, SMD = 0.809, 95 % CI (0.376-1.242), I2 = 42.621 %, p < .001; and total cholesterol, SMD = 0.979, 95 % CI (0.603-1.356), I2 = 22.221 %, p < .001], and physical function [lean body mass, SMD = 0.465, 95 % CI (0.109-0.821), I2 = 0 %, p < .05, and handgrip strength, SMD = 0.929, 95 % CI (0.194-1.663), I2 = 48.217 %, p < .05]. CONCLUSIONS This meta-analysis indicates that Taekwondo training is a beneficial therapy with protective effects on cognitive function, physical function, and body composition in older adults. These findings highlight its potential significance in cognitive rehabilitation and physiological health promotion among this demographic population.
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Affiliation(s)
- Xinxing Li
- Health and Exercise Science Laboratory, Department of Physical Education, Seoul National University, 08826, Seoul, Republic of Korea; Institute on Aging, Seoul National University, 03087, Seoul, Republic of Korea
| | - Jun-Hyun Bae
- Institute of Sport Science, Seoul National University, 08826, Seoul, Republic of Korea; Institute on Aging, Seoul National University, 03087, Seoul, Republic of Korea
| | - Byunggul Lim
- Health and Exercise Science Laboratory, Department of Physical Education, Seoul National University, 08826, Seoul, Republic of Korea; Institute on Aging, Seoul National University, 03087, Seoul, Republic of Korea
| | - Ji-Won Seo
- Health and Exercise Science Laboratory, Department of Physical Education, Seoul National University, 08826, Seoul, Republic of Korea
| | - Yunho Sung
- Health and Exercise Science Laboratory, Department of Physical Education, Seoul National University, 08826, Seoul, Republic of Korea
| | - Shu Jiang
- Health and Exercise Science Laboratory, Department of Physical Education, Seoul National University, 08826, Seoul, Republic of Korea
| | - Parivash Jamrasi
- Health and Exercise Science Laboratory, Department of Physical Education, Seoul National University, 08826, Seoul, Republic of Korea
| | - SoYoung Ahn
- Health and Exercise Science Laboratory, Department of Physical Education, Seoul National University, 08826, Seoul, Republic of Korea
| | - Chaeyoung Shin
- Health and Exercise Science Laboratory, Department of Physical Education, Seoul National University, 08826, Seoul, Republic of Korea
| | - Mingzhu Pan
- School of Physical Education, Shangrao Normal University, 334001, Shangrao, Jiangxi, China
| | - Wook Song
- Health and Exercise Science Laboratory, Department of Physical Education, Seoul National University, 08826, Seoul, Republic of Korea; Institute of Sport Science, Seoul National University, 08826, Seoul, Republic of Korea; Institute on Aging, Seoul National University, 03087, Seoul, Republic of Korea.
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3
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Yong J, Song J. CaMKII activity and metabolic imbalance-related neurological diseases: Focus on vascular dysfunction, synaptic plasticity, amyloid beta accumulation, and lipid metabolism. Biomed Pharmacother 2024; 175:116688. [PMID: 38692060 DOI: 10.1016/j.biopha.2024.116688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 04/25/2024] [Accepted: 04/29/2024] [Indexed: 05/03/2024] Open
Abstract
Metabolic syndrome (MetS) is characterized by insulin resistance, hyperglycemia, excessive fat accumulation and dyslipidemia, and is known to be accompanied by neuropathological symptoms such as memory loss, anxiety, and depression. As the number of MetS patients is rapidly increasing globally, studies on the mechanisms of metabolic imbalance-related neuropathology are emerging as an important issue. Ca2+/calmodulin-dependent kinase II (CaMKII) is the main Ca2+ sensor and contributes to diverse intracellular signaling in peripheral organs and the central nervous system (CNS). CaMKII exerts diverse functions in cells, related to mechanisms such as RNA splicing, reactive oxygen species (ROS) generation, cytoskeleton, and protein-protein interactions. In the CNS, CaMKII regulates vascular function, neuronal circuits, neurotransmission, synaptic plasticity, amyloid beta toxicity, lipid metabolism, and mitochondrial function. Here, we review recent evidence for the role of CaMKII in neuropathologic issues associated with metabolic disorders.
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Affiliation(s)
- Jeongsik Yong
- Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota Twin Cities, Minneapolis, MN, USA
| | - Juhyun Song
- Department of Anatomy, Chonnam National University Medical School, Hwasun, Jeollanam-do, Republic of Korea.
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Wang A, Zhang R, Zhang X, Chen C, Gong Q, Wang L, Wang Y. Effects of cold acclimation on serum biochemical parameters and metabolite profiles in Schizothorax prenanti. BMC Genomics 2024; 25:547. [PMID: 38824590 PMCID: PMC11143564 DOI: 10.1186/s12864-024-10483-z] [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: 02/18/2024] [Accepted: 05/30/2024] [Indexed: 06/03/2024] Open
Abstract
BACKGROUND Environmental temperature is critical in regulating biological functions in fish. S. prenanti is a kind of cold-water fish, but of which we have little knowledge about the metabolic adaptation and physiological responses to long-term cold acclimation. RESULTS In this study, we determined the physiological responses of S. prenanti serum after 30 days of exposure to 6℃. Compared with the control group, the levels of TC, TG, and LDL-C in the serum were significantly (P < 0.05) increased, and the level of glucose was significantly (P < 0.05) decreased under cold acclimation. Cold acclimation had no effect on the gene expression of pro-inflammatory factors and anti-inflammatory factors of S. prenanti. Metabolomics analysis by LC-MS showed that a total of 60 differential expressed metabolites were identified after cold acclimation, which involved in biosynthesis of amino acids, biosynthesis of unsaturated fatty acids, steroid degradation, purine metabolism, and citrate cycle pathways. CONCLUSION The results indicate that cold acclimation can alter serum metabolites and metabolic pathways to alter energy metabolism and provide insights for the physiological regulation of cold-water fish in response to cold acclimation.
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Affiliation(s)
- Aiyu Wang
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, 611130, China
| | - Run Zhang
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, 611130, China
| | - Xianshu Zhang
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, 611130, China
| | - Chunjie Chen
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, 611130, China
| | - Quan Gong
- Fisheries Institute, Sichuan Academy of Agricultural Sciences, Chengdu, Sichuan, 611713, P.R. China
| | - Linjie Wang
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, 611130, China
| | - Yan Wang
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, 611130, China.
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Guo X, Yang YY, Zhou R, Tian G, Shan C, Liu JM, Li R. Causal effect of blood osteocalcin on the risk of Alzheimer's disease and the mediating role of energy metabolism. Transl Psychiatry 2024; 14:205. [PMID: 38769320 PMCID: PMC11106250 DOI: 10.1038/s41398-024-02924-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 05/09/2024] [Accepted: 05/10/2024] [Indexed: 05/22/2024] Open
Abstract
Growing evidence suggests an association between osteocalcin (OCN), a peptide derived from bone and involved in regulating glucose and lipid metabolism, and the risk of Alzheimer's disease (AD). However, the causality of these associations and the underlying mechanisms remain uncertain. We utilized a Mendelian randomization (MR) approach to investigate the causal effects of blood OCN levels on AD and to assess the potential involvement of glucose and lipid metabolism. Independent instrumental variables strongly associated (P < 5E-08) with blood OCN levels were obtained from three independent genome-wide association studies (GWAS) on the human blood proteome (N = 3301 to 35,892). Two distinct summary statistics datasets on AD from the International Genomics of Alzheimer's Project (IGAP, N = 63,926) and a recent study including familial-proxy AD patients (FPAD, N = 472,868) were used. Summary-level data for fasting glucose (FG), 2h-glucose post-challenge, fasting insulin, HbA1c, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, total cholesterol (TC), and triglycerides were incorporated to evaluate the potential role of glucose and lipid metabolism in mediating the impact of OCN on AD risk. Our findings consistently demonstrate a significantly negative correlation between genetically determined blood OCN levels and the risk of AD (IGAP: odds ratio [OR, 95%CI] = 0.83[0.72-0.96], P = 0.013; FPAD: OR = 0.81 [0.70-0.93], P = 0.002). Similar estimates with the same trend direction were obtained using other statistical approaches. Furthermore, employing multivariable MR analysis, we found that the causal relationship between OCN levels and AD was disappeared after adjustment of FG and TC (IGAP: OR = 0.97[0.80-1.17], P = 0.753; FPAD: OR = 0.98 [0.84-1.15], P = 0.831). There were no apparent instances of horizontal pleiotropy, and leave-one-out analysis showed good stability of the estimates. Our study provides evidence supporting a protective effect of blood OCN levels on AD, which is primarily mediated through regulating FG and TC levels. Further studies are warranted to elucidate the underlying physio-pathological mechanisms.
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Affiliation(s)
- Xingzhi Guo
- Department of Geriatric Neurology, Shaanxi Provincial People's Hospital, Xi'an, 710068, Shaanxi, China
- Xi'an Key Laboratory of Stem Cell and Regenerative Medicine, Institute of Medical Research, Northwestern Polytechnical University, Xi'an, 710072, Shaanxi, China
- Department of Geriatric Neurology, the Third Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710068, Shaanxi, China
| | - Yu-Ying Yang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 200025, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 200025, Shanghai, China
| | - Rong Zhou
- Department of Geriatric Neurology, Shaanxi Provincial People's Hospital, Xi'an, 710068, Shaanxi, China
- Xi'an Key Laboratory of Stem Cell and Regenerative Medicine, Institute of Medical Research, Northwestern Polytechnical University, Xi'an, 710072, Shaanxi, China
- Department of Geriatric Neurology, the Third Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710068, Shaanxi, China
| | - Ge Tian
- Department of Geriatric Neurology, Shaanxi Provincial People's Hospital, Xi'an, 710068, Shaanxi, China
- Xi'an Key Laboratory of Stem Cell and Regenerative Medicine, Institute of Medical Research, Northwestern Polytechnical University, Xi'an, 710072, Shaanxi, China
| | - Chang Shan
- Department of Endocrinology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, 200127, Shanghai, China
| | - Jian-Min Liu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 200025, Shanghai, China.
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 200025, Shanghai, China.
| | - Rui Li
- Department of Geriatric Neurology, Shaanxi Provincial People's Hospital, Xi'an, 710068, Shaanxi, China.
- Xi'an Key Laboratory of Stem Cell and Regenerative Medicine, Institute of Medical Research, Northwestern Polytechnical University, Xi'an, 710072, Shaanxi, China.
- Department of Geriatric Neurology, the Third Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710068, Shaanxi, China.
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Liu LC, Liang JY, Liu YH, Liu B, Dong XH, Cai WH, Zhang N. The Intersection of cerebral cholesterol metabolism and Alzheimer's disease: Mechanisms and therapeutic prospects. Heliyon 2024; 10:e30523. [PMID: 38726205 PMCID: PMC11079309 DOI: 10.1016/j.heliyon.2024.e30523] [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: 11/17/2023] [Revised: 04/26/2024] [Accepted: 04/29/2024] [Indexed: 05/12/2024] Open
Abstract
Alzheimer's disease (AD) is a common neurodegenerative disease in the elderly, the exact pathogenesis of which remains incompletely understood, and effective preventive and therapeutic drugs are currently lacking. Cholesterol plays a vital role in cell membrane formation and neurotransmitter synthesis, and its abnormal metabolism is associated with the onset of AD. With the continuous advancement of imaging techniques and molecular biology methods, researchers can more accurately explore the relationship between cholesterol metabolism and AD. Elevated cholesterol levels may lead to vascular dysfunction, thereby affecting neuronal function. Additionally, abnormal cholesterol metabolism may affect the metabolism of β-amyloid protein, thereby promoting the onset of AD. Brain cholesterol levels are regulated by multiple factors. This review aims to deepen the understanding of the subtle relationship between cholesterol homeostasis and AD, and to introduce the latest advances in cholesterol-regulating AD treatment strategies, thereby inspiring readers to contemplate deeply on this complex relationship. Although there are still many unresolved important issues regarding the risk of brain cholesterol and AD, and some studies may have opposite conclusions, further research is needed to enrich our understanding. However, these findings are expected to deepen our understanding of the pathogenesis of AD and provide important insights for the future development of AD treatment strategies targeting brain cholesterol homeostasis.
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Affiliation(s)
- Li-cheng Liu
- Pharmaceutical Branch, Harbin Pharmaceutical Group Co., Harbin, Heilongjiang Province, China
| | - Jun-yi Liang
- Heilongjiang University of Traditional Chinese Medicine, Harbin, Heilongjiang Province, China
| | - Yan-hong Liu
- Heilongjiang University of Traditional Chinese Medicine, Harbin, Heilongjiang Province, China
| | - Bin Liu
- Heilongjiang University of Traditional Chinese Medicine, Harbin, Heilongjiang Province, China
| | - Xiao-hong Dong
- Jiamusi College, Heilongjiang University of Traditional Chinese Medicine, Jiamusi, Heilongjiang Province, China
| | - Wen-hui Cai
- Heilongjiang University of Traditional Chinese Medicine, Harbin, Heilongjiang Province, China
| | - Ning Zhang
- Heilongjiang University of Traditional Chinese Medicine, Harbin, Heilongjiang Province, China
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Parashar A, Jha D, Mehta V, Chauhan B, Ghosh P, Deb PK, Jaiswal M, Prajapati SK. Sonic hedgehog signalling pathway contributes in age-related disorders and Alzheimer's disease. Ageing Res Rev 2024; 96:102271. [PMID: 38492808 DOI: 10.1016/j.arr.2024.102271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 03/10/2024] [Accepted: 03/11/2024] [Indexed: 03/18/2024]
Abstract
Alzheimer's disease (AD) is caused by the aging process and manifested by cognitive deficits and progressive memory loss. During aging, several conditions, including hypertension, diabetes, and cholesterol, have been identified as potential causes of AD by affecting Sonic hedgehog (Shh) signalling. In addition to being essential for cell differentiation and proliferation, Shh signalling is involved in tissue repair and the prevention of neurodegeneration. Neurogenesis is dependent on Shh signalling; inhibition of this pathway results in neurodegeneration. Several protein-protein interactions that are involved in Shh signalling are implicated in the pathophysiology of AD like overexpression of the protein nexin-1 inhibits the Shh pathway in AD. A protein called Growth Arrest Specific-1 works with another protein called cysteine dioxygenase (CDO) to boost Shh signalling. CDO is involved in the development of the central nervous system (CNS). Shh signalling strengthened the blood brain barrier and therefore prevent the entry of amyloid beta and other toxins to the brain from periphery. Further, several traditional remedies used for AD and dementia, including Epigallocatechin gallate, yokukansan, Lycium barbarum polysaccharides, salvianolic acid, and baicalin, are known to stimulate the Shh pathway. In this review, we elaborated that the Shh signalling exerts a substantial influence on the pathogenesis of AD. In this article, we have tried to explore the various possible connections between the Shh signalling and various known pathologies of AD.
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Affiliation(s)
- Arun Parashar
- School of Pharmaceutical Sciences, Shoolini University of Biotechnology & Management Sciences, Solan 173 212, India.
| | - Dhruv Jha
- Birla Institute of Technology, India
| | - Vineet Mehta
- Department of Pharmacology, Government College of Pharmacy, Rohru, District Shimla, Himachal Pradesh 171207, India
| | - Bonney Chauhan
- School of Pharmaceutical Sciences, Shoolini University of Biotechnology & Management Sciences, Solan 173 212, India
| | - Pappu Ghosh
- School of Pharmaceutical Sciences, Shoolini University of Biotechnology & Management Sciences, Solan 173 212, India
| | - Prashanta Kumar Deb
- School of Pharmaceutical Sciences, Shoolini University of Biotechnology & Management Sciences, Solan 173 212, India
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Sarkar S, Roy D, Chatterjee B, Ghosh R. Clinical advances in analytical profiling of signature lipids: implications for severe non-communicable and neurodegenerative diseases. Metabolomics 2024; 20:37. [PMID: 38459207 DOI: 10.1007/s11306-024-02100-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 02/06/2024] [Indexed: 03/10/2024]
Abstract
BACKGROUND Lipids play key roles in numerous biological processes, including energy storage, cell membrane structure, signaling, immune responses, and homeostasis, making lipidomics a vital branch of metabolomics that analyzes and characterizes a wide range of lipid classes. Addressing the complex etiology, age-related risk, progression, inflammation, and research overlap in conditions like Alzheimer's Disease, Parkinson's Disease, Cardiovascular Diseases, and Cancer poses significant challenges in the quest for effective therapeutic targets, improved diagnostic markers, and advanced treatments. Mass spectrometry is an indispensable tool in clinical lipidomics, delivering quantitative and structural lipid data, and its integration with technologies like Liquid Chromatography (LC), Magnetic Resonance Imaging (MRI), and few emerging Matrix-Assisted Laser Desorption Ionization- Imaging Mass Spectrometry (MALDI-IMS) along with its incorporation into Tissue Microarray (TMA) represents current advances. These innovations enhance lipidomics assessment, bolster accuracy, and offer insights into lipid subcellular localization, dynamics, and functional roles in disease contexts. AIM OF THE REVIEW The review article summarizes recent advancements in lipidomic methodologies from 2019 to 2023 for diagnosing major neurodegenerative diseases, Alzheimer's and Parkinson's, serious non-communicable cardiovascular diseases and cancer, emphasizing the role of lipid level variations, and highlighting the potential of lipidomics data integration with genomics and proteomics to improve disease understanding and innovative prognostic, diagnostic and therapeutic strategies. KEY SCIENTIFIC CONCEPTS OF REVIEW Clinical lipidomic studies are a promising approach to track and analyze lipid profiles, revealing their crucial roles in various diseases. This lipid-focused research provides insights into disease mechanisms, biomarker identification, and potential therapeutic targets, advancing our understanding and management of conditions such as Alzheimer's Disease, Parkinson's Disease, Cardiovascular Diseases, and specific cancers.
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Affiliation(s)
- Sutanu Sarkar
- Amity Institute of Biotechnology (AIBNK), Amity University, Rajarhat, Newtown Action Area 2, Kolkata, 700135, West Bengal, India
| | - Deotima Roy
- Amity Institute of Biotechnology (AIBNK), Amity University, Rajarhat, Newtown Action Area 2, Kolkata, 700135, West Bengal, India
| | - Bhaskar Chatterjee
- Amity Institute of Biotechnology (AIBNK), Amity University, Rajarhat, Newtown Action Area 2, Kolkata, 700135, West Bengal, India
| | - Rajgourab Ghosh
- Amity Institute of Biotechnology (AIBNK), Amity University, Rajarhat, Newtown Action Area 2, Kolkata, 700135, West Bengal, India.
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Kawade N, Yamanaka K. Novel insights into brain lipid metabolism in Alzheimer's disease: Oligodendrocytes and white matter abnormalities. FEBS Open Bio 2024; 14:194-216. [PMID: 37330425 PMCID: PMC10839347 DOI: 10.1002/2211-5463.13661] [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: 05/10/2023] [Revised: 06/07/2023] [Accepted: 06/14/2023] [Indexed: 06/19/2023] Open
Abstract
Alzheimer's disease (AD) is the most common cause of dementia. A genome-wide association study has shown that several AD risk genes are involved in lipid metabolism. Additionally, epidemiological studies have indicated that the levels of several lipid species are altered in the AD brain. Therefore, lipid metabolism is likely changed in the AD brain, and these alterations might be associated with an exacerbation of AD pathology. Oligodendrocytes are glial cells that produce the myelin sheath, which is a lipid-rich insulator. Dysfunctions of the myelin sheath have been linked to white matter abnormalities observed in the AD brain. Here, we review the lipid composition and metabolism in the brain and myelin and the association between lipidic alterations and AD pathology. We also present the abnormalities in oligodendrocyte lineage cells and white matter observed in AD. Additionally, we discuss metabolic disorders, including obesity, as AD risk factors and the effects of obesity and dietary intake of lipids on the brain.
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Affiliation(s)
- Noe Kawade
- Department of Neuroscience and Pathobiology, Research Institute of Environmental MedicineNagoya UniversityJapan
- Department of Neuroscience and Pathobiology, Nagoya University Graduate School of MedicineNagoya UniversityJapan
| | - Koji Yamanaka
- Department of Neuroscience and Pathobiology, Research Institute of Environmental MedicineNagoya UniversityJapan
- Department of Neuroscience and Pathobiology, Nagoya University Graduate School of MedicineNagoya UniversityJapan
- Institute for Glyco‐core Research (iGCORE)Nagoya UniversityJapan
- Center for One Medicine Innovative Translational Research (COMIT)Nagoya UniversityJapan
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10
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Amidfar M, Askari G, Kim YK. Association of metabolic dysfunction with cognitive decline and Alzheimer's disease: A review of metabolomic evidence. Prog Neuropsychopharmacol Biol Psychiatry 2024; 128:110848. [PMID: 37634657 DOI: 10.1016/j.pnpbp.2023.110848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 07/28/2023] [Accepted: 08/24/2023] [Indexed: 08/29/2023]
Abstract
The discovery of new biomarkers that can distinguish Alzheimer's disease (AD) from mild cognitive impairment (MCI) in the early stages will help to provide new diagnostic and therapeutic strategies and slow the transition from MCI to AD. Patients with AD may present with a concomitant metabolic disorder, such as diabetes, obesity, and dyslipidemia, as a risk factor for AD that may be involved in the onset of both AD pathology and cognitive impairment. Therefore, metabolite profiling, or metabolomics, can be very useful in diagnosing AD, developing new therapeutic targets, and evaluating both the course of treatment and the clinical course of the disease. In addition, studying the relationship between nutritional behavior and AD requires investigation of the role of conditions such as obesity, hypertension, dyslipidemia, and elevated glucose level. Based on this literature review, nutritional recommendations, including weight loss by reducing calorie and cholesterol intake and omega-3 fatty acid supplementation can prevent cognitive decline and dementia in the elderly. The underlying metabolic causes of the pathology and cognitive decline caused by AD and MCI are not well understood. In this review article, metabolomics biomarkers for diagnosis of AD and MCI and metabolic risk factors for cognitive decline in AD were evaluated.
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Affiliation(s)
- Meysam Amidfar
- Food Security Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Gholamreza Askari
- Food Security Research Center, Isfahan University of Medical Sciences, Isfahan, Iran; Department of Community Nutrition, School of Nutrition and Food Science, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Yong-Ku Kim
- Department of Psychiatry, College of Medicine, Korea University, Seoul, South Korea.
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Bou Ghanem A, Hussayni Y, Kadbey R, Ratel Y, Yehya S, Khouzami L, Ghadieh HE, Kanaan A, Azar S, Harb F. Exploring the complexities of 1C metabolism: implications in aging and neurodegenerative diseases. Front Aging Neurosci 2024; 15:1322419. [PMID: 38239489 PMCID: PMC10794399 DOI: 10.3389/fnagi.2023.1322419] [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: 10/16/2023] [Accepted: 12/11/2023] [Indexed: 01/22/2024] Open
Abstract
The intricate interplay of one-carbon metabolism (OCM) with various cellular processes has garnered substantial attention due to its fundamental implications in several biological processes. OCM serves as a pivotal hub for methyl group donation in vital biochemical reactions, influencing DNA methylation, protein synthesis, and redox balance. In the context of aging, OCM dysregulation can contribute to epigenetic modifications and aberrant redox states, accentuating cellular senescence and age-associated pathologies. Furthermore, OCM's intricate involvement in cancer progression is evident through its capacity to provide essential one-carbon units crucial for nucleotide synthesis and DNA methylation, thereby fueling uncontrolled cell proliferation and tumor development. In neurodegenerative disorders like Alzheimer's and Parkinson's, perturbations in OCM pathways are implicated in the dysregulation of neurotransmitter synthesis and mitochondrial dysfunction, contributing to disease pathophysiology. This review underscores the profound impact of OCM in diverse disease contexts, reinforcing the need for a comprehensive understanding of its molecular complexities to pave the way for targeted therapeutic interventions across inflammation, aging and neurodegenerative disorders.
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Affiliation(s)
- Ayman Bou Ghanem
- Faculty of Medicine and Medical Sciences, University of Balamand, Tripoli, Lebanon
| | - Yaman Hussayni
- Faculty of Medicine and Medical Sciences, University of Balamand, Tripoli, Lebanon
| | - Raghid Kadbey
- Faculty of Medicine and Medical Sciences, University of Balamand, Tripoli, Lebanon
| | - Yara Ratel
- Faculty of Medicine and Medical Sciences, University of Balamand, Tripoli, Lebanon
| | - Shereen Yehya
- Faculty of Medicine and Medical Sciences, University of Balamand, Tripoli, Lebanon
| | - Lara Khouzami
- College of Natural and Health Sciences, Zayed University, Dubai, United Arab Emirates
| | - Hilda E. Ghadieh
- Faculty of Medicine and Medical Sciences, University of Balamand, Tripoli, Lebanon
- AUB Diabetes, American University of Beirut Medical Center, Beirut, Lebanon
| | - Amjad Kanaan
- Faculty of Medicine and Medical Sciences, University of Balamand, Tripoli, Lebanon
| | - Sami Azar
- Faculty of Medicine and Medical Sciences, University of Balamand, Tripoli, Lebanon
| | - Frederic Harb
- Faculty of Medicine and Medical Sciences, University of Balamand, Tripoli, Lebanon
- AUB Diabetes, American University of Beirut Medical Center, Beirut, Lebanon
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12
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Cheng Y, Zhu H, Sun D, Li L, Liu C, Sun S, Guo Y, Gu C, Gao Y, He G, Xue S. High triglyceride-glucose index at admission is a predictor of post-stroke cognitive impairment in patients with acute ischemic stroke. J Stroke Cerebrovasc Dis 2024; 33:107510. [PMID: 38000109 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 10/30/2023] [Accepted: 11/20/2023] [Indexed: 11/26/2023] Open
Abstract
BACKGROUND Post-stroke cognitive impairment (PSCI) is a very common complication of ischemic stroke (IS). Triglyceride-glucose (TyG) index was an effective alternative marker of insulin resistance (IR). This prospective study was designed to explore the correlation between TyG index and PSCI. METHODS Between January 1 2021 to June 30 2022, consecutive patients with first onset IS were enrolled prospectively. Baseline information was collected at admission and fasting blood was drawn the next morning. Montreal Cognitive Assessment (MoCA) was used to evaluate cognitive function at three months after stroke. Multiple regression analysis was used to explore the correlation between PSCI and TyG. Receiver operating characteristic (ROC) was performed to evaluate the predictive ability. RESULTS Ultimately, 313 patients were enrolled in this study. The TyG index was higher in patients with PSCI than those without PSCI (8.99 (8.55, 9.54) vs. 8.61(8.25, 8.87), P<0.001). The spearman correlation analysis indicated that TyG index was negatively correlated with MoCA score (r=-0.272, P<0.001). The multivariate logistic regression analysis demonstrated that TyG index was correlated with PSCI independently (P<0.001) regardless of whether the patients had diabetes or not. The area under curve (AUC) of the ROC was 0.684 (95%CI=0.635-0.768, P<0.001). The optimal cutoff value of TyG index for predicting PSCI was 8.81, with a sensitivity of 61.7% and a specificity of 73.6%. CONCLUSION A higher TyG index level at admission was independently correlated with increased risk of PSCI three months later and could be used as a predictor.
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Affiliation(s)
- Yongqing Cheng
- Department of Neurology, The First Affiliated Hospital of Soochow University, No. 188 Shizi Road, Suzhou, Jiangsu Province 215006, China; Department of Neurology, The Fourth Affiliated Hospital of Nantong University, The First People's Hospital of Yancheng, Jiangsu Province 224000, China.
| | - Honghong Zhu
- Department of Rheumatology and Immunology, The Fourth Affiliated Hospital of Nantong University, The First People's Hospital of Yancheng, Yancheng, Jiangsu Province 224000, China.
| | - Dingming Sun
- Department of Neurology, The Fourth Affiliated Hospital of Nantong University, The First People's Hospital of Yancheng, Jiangsu Province 224000, China.
| | - Lei Li
- Department of Neurology, The Fourth Affiliated Hospital of Nantong University, The First People's Hospital of Yancheng, Jiangsu Province 224000, China.
| | - Changxia Liu
- Department of Neurology, The Fourth Affiliated Hospital of Nantong University, The First People's Hospital of Yancheng, Jiangsu Province 224000, China.
| | - Shifu Sun
- Department of Neurology, The Fourth Affiliated Hospital of Nantong University, The First People's Hospital of Yancheng, Jiangsu Province 224000, China.
| | - Yan Guo
- Department of Neurology, The Fourth Affiliated Hospital of Nantong University, The First People's Hospital of Yancheng, Jiangsu Province 224000, China.
| | - Cong Gu
- Department of Neurology, The Fourth Affiliated Hospital of Nantong University, The First People's Hospital of Yancheng, Jiangsu Province 224000, China.
| | - Yang Gao
- Department of Neurology, The Fourth Affiliated Hospital of Nantong University, The First People's Hospital of Yancheng, Jiangsu Province 224000, China.
| | - Guojun He
- Department of Neurology, The Fourth Affiliated Hospital of Nantong University, The First People's Hospital of Yancheng, Jiangsu Province 224000, China.
| | - Shouru Xue
- Department of Neurology, The First Affiliated Hospital of Soochow University, No. 188 Shizi Road, Suzhou, Jiangsu Province 215006, China.
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13
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Sui H, Yang J, Xiang H, Yan C. Combining ADC values in DWI with rCBF values in arterial spin labeling (ASL) for the diagnosis of mild cognitive impairment (MCI). Medicine (Baltimore) 2023; 102:e34979. [PMID: 37713879 PMCID: PMC10508430 DOI: 10.1097/md.0000000000034979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 08/07/2023] [Indexed: 09/17/2023] Open
Abstract
We aimed to investigate the role of combined apparent diffusion coefficient (ADC) values and relative cerebral blood flow (rCBF) values in the diagnosis of mild cognitive impairment (MCI) patients. The present prospective research enrolled 156 MCI patients and 58 healthy elderly people who came to our hospital from January 2021 to February 2023. T1W, T2W, diffusion-weighted imaging, and arterial spin labeling sequences were performed on all subjects, and ADC values and rCBF values were measured at the workstation. Clinical and demographic data of all patients were collected while mini-mental state examination (MMSE) and Montreal cognitive assessment (MoCA) scores were used to assess patients' cognitive abilities. The MCI group had significantly lower rCBF values in the left frontal lobe, left occipital lobe, right frontal lobe, and right occipital lobe than the HC group. The ADC values in the left frontal lobe as well as the right frontal lobe were remarkably elevated in the MCI group than in the HC group. MoCA and MMSE scores were positively correlated with rCBF values in the left frontal, right frontal, left occipital, and right occipital lobes and negatively correlated with ADC values in the left and right frontal lobes. Combined ADC values and rCBF values from the left frontal lobe for the diagnosis of MCI had a higher sensitivity and specificity with the AUC was 0.877, sensitivity 81.0%, specificity 82.7%. Additionally, pressure fasting plasma glucose, ADC of the left frontal lobe, right frontal lobe, rCBF of left frontal lobe and rCBF of left frontal lobe were the risk factors of patients with MCI. In summary, our results indicated that the ADC values and rCBF values were changed in MCI group compared to HC group and correlated with MMSE and MoCA scores.
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Affiliation(s)
- Haijing Sui
- Department of Radiology, Shanghai Pudong New Area People’s Hospital, Shanghai, China
| | - Juan Yang
- Department of Neurology, Shanghai Pudong New Area People’s Hospital, Shanghai, China
| | - Honggang Xiang
- Department of Surgery, Shanghai Pudong New Area People’s Hospital, Shanghai, China
| | - Chenggong Yan
- Department of Radiology, Shanghai Pudong New Area Hospital of Traditional Chinese Medicine, Shanghai, China
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14
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Chen J, Li Y, Chen M, Liu X, Chen J, Li X, Wang C, Wan G, Tian J. Pantethine Ameliorates Recognition Impairment in a Mouse Model of Alzheimer's Disease by Modulating Cholesterol Content and Intestinal Flora Species. Mol Nutr Food Res 2023; 67:e2200799. [PMID: 37194410 DOI: 10.1002/mnfr.202200799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 05/02/2023] [Indexed: 05/18/2023]
Abstract
SCOPE As a natural dietary low-molecular-weight thiol, pantethine helps maintain brain homeostasis and function in Alzheimer's disease (AD) mice. The current study aims to investigate the protective effects and underlying mechanisms of pantethine on the mitigation of cognitive deficits and pathology in a triple transgenic AD mouse model. METHODS AND RESULTS Compared to control mice, oral administration of pantethine improve spatial learning and memory ability, relieve anxiety, and reduce the production of amyloid-β (Aβ), neuronal damage, and inflammation in 3×Tg-AD mice. Pantethine reduces body weight, body fat, and the production of cholesterol in 3×Tg-AD mice by inhibiting sterol regulatory element-binding protein (SREBP2) signal pathway and apolipoprotein E (APOE) expression; lipid rafts in the brain, which are necessary for the processing of the Aβ precursor protein (APP), are also decreased. In addition, pantethine regulates the composition, distribution, and abundance of characteristic flora in the intestine; these floras are considered protective and anti-inflammatory in the gastrointestinal tract, suggesting a possible improvement in the gut flora of 3×Tg-AD mice. CONCLUSION This study highlights the potential therapeutic effect of pantethine in AD by reducing cholesterol and lipid raft formation and regulating intestinal flora, suggesting a new option for the development of clinical drugs for AD.
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Affiliation(s)
- Jianfeng Chen
- Shenzhen Key Laboratory of Marine Biotechnology and Ecology, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong, 518055, China
| | - Yongsui Li
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, 518055, China
| | - Minyu Chen
- Shenzhen Key Laboratory of Marine Biotechnology and Ecology, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong, 518055, China
| | - Xinwei Liu
- Shenzhen Key Laboratory of Marine Biotechnology and Ecology, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong, 518055, China
| | - Jinghong Chen
- Shenzhen Key Laboratory of Marine Biotechnology and Ecology, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong, 518055, China
- Shenzhen Bay Laboratory, Shenzhen, Guangdong, 518055, China
| | - Xinlu Li
- Shenzhen Key Laboratory of Marine Biotechnology and Ecology, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong, 518055, China
| | - Chao Wang
- Chemical Analysis & Physical Testing Institute, Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong, 518055, China
| | - Guohui Wan
- National-Local Joint Engineering Laboratory of Druggability and New Drug Evaluation, National Engineering Research Center for New Drug and Druggability (cultivation), Key Laboratory of New Drug Design and Evaluation, School of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou, Guangdong, 510000, China
| | - Jing Tian
- Shenzhen Key Laboratory of Marine Biotechnology and Ecology, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong, 518055, China
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15
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Yun H, Su W, Zhao H, Li H, Wang Z, Cui X, Xi C, Gao R, Sun Y, Liu C. Effects of different exercise modalities on lipid profile in the elderly population: A meta-analysis. Medicine (Baltimore) 2023; 102:e33854. [PMID: 37478257 PMCID: PMC10662825 DOI: 10.1097/md.0000000000033854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 05/04/2023] [Indexed: 07/23/2023] Open
Abstract
BACKGROUND Dyslipidemia, characterized by elevated total cholesterol (TC), triglycerides, and low-density lipoprotein cholesterol (LDL-C), as well as decreased high-density lipoprotein cholesterol (HDL-C), has long been recognized as a major risk factor for age-related diseases. Recent studies have shown that exercise can be effective in mitigating dyslipidemia in older adults. The aim of this study was to systematically evaluate the effects of different exercise modalities (aerobic exercise [AE], resistance exercise [RE], aerobic+resistance exercise [AE+RE], and high-intensity interval training) on lipid profile in the elderly population, in order to identify the most effective exercise modality for maintaining lipid profile health in older adults. METHODS A comprehensive database search of PubMed, EBSCO, Web of Science, China National Knowledge Infrastructure, and Wanfang database. Eligible studies were individually assessed according to the Cochrane Risk of Bias Tool version 2, and the data were analyzed and processed using RevMan 5.4.1 analysis software. RESULTS This study identified 20 randomized controlled trials with a total of 988 subjects, of which 541 were in the exercise group and 447 in the control group. Our analysis showed that AE significantly reduced TC (P < .05), triglycerides (P < .01), and LDL-C (P < .01), while increasing HDL-C (P < .01) in the elderly population. RE significantly reduced the elevation of TC (P < .01) and LDL-C (P < .05) indices in the elderly population, while AE+RE had a significant effect on decreasing TC (P < .01) and LDL-C (P < .01) indices. CONCLUSION Our analysis indicates that AE is the most effective exercise modality for reducing dyslipidemia in older adults, compared to RE, AE+RE, and high-intensity interval training. These findings suggest that AE should be promoted as an important lifestyle intervention to improve lipid profile health in the elderly population. However, further research is needed to investigate the optimal duration, frequency, and intensity of AE required to achieve the most beneficial effects on lipid profile health in older adults.
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Affiliation(s)
- Hezhang Yun
- The Public Sports Department of the School, Zhejiang Guangsha Vocational and Technical University of construction, Dongyang, China
- School of Sport Science, Beijing Sport University, Beijing, China
| | - Wenbo Su
- Department of Sports Teaching and Research, Lanzhou University, Lanzhou, China
| | - Haotian Zhao
- Department of Physical Education, Jiangnan University, Wuxi, China
| | - Huixin Li
- School of Sport Science, Beijing Sport University, Beijing, China
| | - Zhongjie Wang
- The Public Sports Department of the School, Zhejiang Guangsha Vocational and Technical University of construction, Dongyang, China
| | - Xianyou Cui
- The Public Sports Department of the School, Zhejiang Guangsha Vocational and Technical University of construction, Dongyang, China
| | - Changjin Xi
- The Public Sports Department of the School, Zhejiang Guangsha Vocational and Technical University of construction, Dongyang, China
| | - Ruirui Gao
- School of Journalism and Communication, Beijing Sport University, Beijing, China
| | - Yaowei Sun
- School of Sport Science, Beijing Sport University, Beijing, China
- Yufeng experimental school, Kunshan, China
| | - Chang Liu
- School of Sport Science, Beijing Sport University, Beijing, China
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16
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Phénix J, Côté J, Dieme D, Recinto SJ, Oestereich F, Efrem S, Haddad S, Bouchard M, Munter LM. CETP inhibitor evacetrapib enters mouse brain tissue. Front Pharmacol 2023; 14:1171937. [PMID: 37533630 PMCID: PMC10390775 DOI: 10.3389/fphar.2023.1171937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 06/26/2023] [Indexed: 08/04/2023] Open
Abstract
High levels of plasma cholesterol, especially high levels of low-density lipoprotein cholesterol (LDL-C), have been associated with an increased risk of Alzheimer's disease. The cholesteryl ester transfer protein (CETP) in plasma distributes cholesteryl esters between lipoproteins and increases LDL-C in plasma. Epidemiologically, decreased CETP activity has been associated with sustained cognitive performance during aging, longevity, and a lower risk of Alzheimer's disease. Thus, pharmacological CETP inhibitors could be repurposed for the treatment of Alzheimer's disease as they are safe and effective at lowering CETP activity and LDL-C. Although CETP is mostly expressed by the liver and secreted into the bloodstream, it is also expressed by astrocytes in the brain. Therefore, it is important to determine whether CETP inhibitors can enter the brain. Here, we describe the pharmacokinetic parameters of the CETP inhibitor evacetrapib in the plasma, liver, and brain tissues of CETP transgenic mice. We show that evacetrapib crosses the blood-brain barrier and is detectable in brain tissue 0.5 h after a 40 mg/kg i.v. injection in a non-linear function. We conclude that evacetrapib may prove to be a good candidate to treat CETP-mediated cholesterol dysregulation in Alzheimer's disease.
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Affiliation(s)
- Jasmine Phénix
- Department of Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada
- Cell Information Systems Group, Montreal, QC, Canada
| | - Jonathan Côté
- Department of Environmental and Occupational Health, School of Public Health, Université de Montréal, Montreal, QC, Canada
- Public Health Research Center (CReSP), Université de Montréal, Montreal, QC, Canada
| | - Denis Dieme
- Department of Environmental and Occupational Health, School of Public Health, Université de Montréal, Montreal, QC, Canada
- Public Health Research Center (CReSP), Université de Montréal, Montreal, QC, Canada
| | - Sherilyn J. Recinto
- Department of Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada
- Cell Information Systems Group, Montreal, QC, Canada
- Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada
| | - Felix Oestereich
- Department of Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada
- Cell Information Systems Group, Montreal, QC, Canada
- Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada
| | - Sasen Efrem
- Department of Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada
- Cell Information Systems Group, Montreal, QC, Canada
| | - Sami Haddad
- Department of Environmental and Occupational Health, School of Public Health, Université de Montréal, Montreal, QC, Canada
- Public Health Research Center (CReSP), Université de Montréal, Montreal, QC, Canada
| | - Michèle Bouchard
- Department of Environmental and Occupational Health, School of Public Health, Université de Montréal, Montreal, QC, Canada
- Public Health Research Center (CReSP), Université de Montréal, Montreal, QC, Canada
| | - Lisa Marie Munter
- Department of Pharmacology and Therapeutics, McGill University, Montreal, QC, Canada
- Cell Information Systems Group, Montreal, QC, Canada
- Centre de Recherche en Biologie Structurale (CRBS), Montreal, QC, Canada
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17
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Giannisis A, Al-Grety A, Carlsson H, Howell JC, Hu WT, Kultima K, Nielsen HM. Plasma apolipoprotein E levels, isoform composition, and dimer profile in relation to plasma lipids in racially diverse patients with Alzheimer's disease and mild cognitive impairment. Alzheimers Res Ther 2023; 15:119. [PMID: 37400888 PMCID: PMC10316569 DOI: 10.1186/s13195-023-01262-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 06/14/2023] [Indexed: 07/05/2023]
Abstract
BACKGROUND The APOEε4-promoted risk of Alzheimer's disease (AD) is lower in Black/African-Americans (B/AAs), compared to non-Hispanic whites (NHWs). Previous studies reported lower plasma apolipoprotein E (apoE) levels in NHW APOEε4-carriers compared to non-carriers, and low plasma apoE levels were directly associated with an increased risk of AD and all dementia. We further showed that APOEε3/ε3 AD patients exhibited reduced plasma apoE dimers compared to corresponding control subjects. Whether plasma apoE levels and apoE dimer formation differ between races/ethnicities and therefore may help explain AD risk racial disparity remains to be elucidated. METHODS Using mass spectrometry, we determined total plasma apoE and apoE isoform levels in a cohort of B/AAs (n = 58) and NHWs (n = 67) including subjects with normal cognition (B/AA: n = 25, NHW: n = 28), mild cognitive impairment (MCI) (B/AA: n = 24, NHW: n = 24), or AD dementia (B/AA: n = 9, NHW: n = 15). Additionally, we used non-reducing western blot analysis to assess the distribution of plasma apoE into monomers/disulfide-linked dimers. Plasma total apoE, apoE isoform levels, and % apoE monomers/dimers were assessed for correlations with cognition, cerebrospinal fluid (CSF) AD biomarkers, sTREM2, neurofilament light protein (NfL), and plasma lipids. RESULTS Plasma apoE was predominantly monomeric in both racial groups and the monomer/dimer distribution was not affected by disease status, or correlated with CSF AD biomarkers, but associated with plasma lipids. Plasma total apoE levels were not related to disease status and only in the NHW subjects we observed lower plasma apoE levels in the APOEε4/ε4-carriers. Total plasma apoE levels were 13% higher in B/AA compared to NHW APOEε4/ε4 subjects and associated with plasma high-density lipoprotein (HDL) in NHW subjects but with low-density lipoprotein levels (LDL) in the B/AA subjects. Higher plasma apoE4 levels, exclusively in APOEε3/ε4 B/AA subjects, were linked to higher plasma total cholesterol and LDL levels. In the controls, NHWs and B/AAs exhibited opposite associations between plasma apoE and CSF t-tau. CONCLUSIONS The previously reported lower APOEε4-promoted risk of AD in B/AA subjects may be associated with differences in plasma apoE levels and lipoprotein association. Whether differences in plasma apoE levels between races/ethnicities result from altered APOEε4 expression or turnover, needs further elucidation.
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Affiliation(s)
- Andreas Giannisis
- Department of Biochemistry and Biophysics, Stockholm University, Svante Arrhenius Väg 16B, 114 18, Stockholm, Sweden
| | - Asma Al-Grety
- Department of Medical Sciences, Clinical Chemistry, Uppsala University, Uppsala, Sweden
| | - Henrik Carlsson
- Department of Medical Sciences, Clinical Chemistry, Uppsala University, Uppsala, Sweden
| | | | - William T Hu
- Department of Neurology, Emory University, Atlanta, GA, USA
- Department of Neurology, Rutgers-Robert Wood Johnson Medical School, and Institute for Health, Health Care Policy, and Aging Research, New Brunswick, NJ, USA
| | - Kim Kultima
- Department of Medical Sciences, Clinical Chemistry, Uppsala University, Uppsala, Sweden
| | - Henrietta M Nielsen
- Department of Biochemistry and Biophysics, Stockholm University, Svante Arrhenius Väg 16B, 114 18, Stockholm, Sweden.
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Li W, Zhou Y, Luo Z, Tang R, Sun Y, He Q, Xia B, Lu K, Hou Q, Yuan J. Lipidomic markers for the prediction of progression from mild cognitive impairment to Alzheimer's disease. FASEB J 2023; 37:e22998. [PMID: 37289136 DOI: 10.1096/fj.202201584rr] [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: 09/30/2022] [Revised: 04/18/2023] [Accepted: 05/12/2023] [Indexed: 06/09/2023]
Abstract
Dementia is a well-known syndrome and Alzheimer's disease (AD) is the main cause of dementia. Lipids play a key role in the pathogenesis of AD, however, the prediction value of serum lipidomics on AD remains unclear. This study aims to construct a lipid score system to predict the risk of progression from mild cognitive impairment (MCI) to AD. First, we used the least absolute shrinkage and selection operator (LASSO) Cox regression model to select the lipids that can signify the progression from MCI to AD based on 310 older adults with MCI. Then we constructed a lipid score based on 14 single lipids using Cox regression and estimated the association between the lipid score and progression from MCI to AD. The prevalence of AD in the low-, intermediate- and high-score groups was 42.3%, 59.8%, and 79.8%, respectively. The participants in the intermediate- and high-score group had a 1.65-fold (95% CI 1.10 to 2.47) and 3.55-fold (95% CI 2.40 to 5.26) higher risk of AD, respectively, as compared to those with low lipid scores. The lipid score showed moderate prediction efficacy (c-statistics > 0.72). These results suggested that the score system based on serum lipidomics is useful for the prediction of progression from MCI to AD.
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Affiliation(s)
- Wenjing Li
- Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Yinhua Zhou
- Center for Clinical Medical Humanities, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Zhaofan Luo
- Department of Clinical Laboratory, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Rixin Tang
- Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Yuxuan Sun
- Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Chinese Health Risk Management Collaboration (CHRIMAC), Shenzhen, Guangdong, China
| | - Qiangsheng He
- Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Chinese Health Risk Management Collaboration (CHRIMAC), Shenzhen, Guangdong, China
| | - Bin Xia
- Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Chinese Health Risk Management Collaboration (CHRIMAC), Shenzhen, Guangdong, China
| | - Kuiqing Lu
- Chinese Health Risk Management Collaboration (CHRIMAC), Shenzhen, Guangdong, China
| | - Qinghua Hou
- Clinical Neuroscience Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Jinqiu Yuan
- Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Chinese Health Risk Management Collaboration (CHRIMAC), Shenzhen, Guangdong, China
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19
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Allwright M, Mundell HD, McCorkindale AN, Lindley RI, Austin PJ, Guennewig B, Sutherland GT. Ranking the risk factors for Alzheimer's disease; findings from the UK Biobank study. AGING BRAIN 2023; 3:100081. [PMID: 37384134 PMCID: PMC10293768 DOI: 10.1016/j.nbas.2023.100081] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 05/25/2023] [Accepted: 06/06/2023] [Indexed: 06/30/2023] Open
Abstract
Background The cause of the most common form of dementia, sporadic Alzheimer's disease (AD), remains unknown. This may reflect insufficiently powered studies to date for this multi-factorial disorder. The UK Biobank dataset presents a unique opportunity to rank known risk factors and determine novel variables. Methods A custom machine learning approach for high dimensionality data was applied to explore prospectively associations between AD in a sub-cohort of 156,209 UK Biobank participants aged 60-70 including more than 2,090 who were subsequently diagnosed with AD. Results After the possession of the APOE4 allele, the next highest ranked risk factors were other genetic variants within the TOMM40-APOE-APOC1 locus. When stratified by their apolipoprotein epsilon 4 (APOE4) carrier status, the most prominent risk factors in carriers were AST:ALT ratio, the "number of treatments/ medications" taken as well as "time spent in hospital" while protection was conferred by "Sleeplessness/Insomnia". In non-APOE carriers, lower socioeconomic status and fewer years of education were highly ranked but effect sizes were small relative to APOE4 carriers. Conclusions Possession of the APOE4 allele was confirmed as the most important risk factor in AD. Other TOMM40-APOE-APOC1 locus variants further moderate the risk of AD in APOE4 carriers. Liver pathology is a novel risk factor in APOE4 carriers while "Sleeplessness/Insomnia" is protective in AD irrespective of APOE4 status. Other factors such as "Number of treatments/ medications" suggest that multimorbidity is an important risk factor for AD. Future treatments aimed at co-morbidities, including liver disease, may concomitantly lower the risk of sporadic AD.
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Affiliation(s)
- Michael Allwright
- Brain and Mind Centre and School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2006, Australia
| | - Hamish D Mundell
- Charles Perkins Centre and School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW 2006, Australia
| | - Andrew N McCorkindale
- Charles Perkins Centre and School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW 2006, Australia
| | - Richard I. Lindley
- Westmead Applied Research Centre, Sydney Medical School, University of Sydney, NSW 2006 and George Institute for Global Health, Newtown, NSW 2042, Australia
| | - Paul J. Austin
- Brain and Mind Centre and School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2006, Australia
| | - Boris Guennewig
- Brain and Mind Centre and School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2006, Australia
| | - Greg T Sutherland
- Charles Perkins Centre and School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW 2006, Australia
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Dong YT, Cao K, Xiang J, Qi XL, Xiao Y, Yu WF, He Y, Hong W, Guan ZZ. Resveratrol Attenuates the Disruption of Lipid Metabolism Observed in Amyloid Precursor Protein/Presenilin 1 Mouse Brains and Cultured Primary Neurons Exposed to Aβ. Neuroscience 2023; 521:134-147. [PMID: 37142180 DOI: 10.1016/j.neuroscience.2023.04.023] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 04/19/2023] [Accepted: 04/25/2023] [Indexed: 05/06/2023]
Abstract
To examine whether resveratrol (RSV), an activator of silent mating-type information regulation 2 homolog 1 (SIRT1), can reverse the disruption of lipid metabolism caused by β-amyloid peptide (Aβ), APP/PS1 mice or cultured primary rat neurons were treated with RSV, suramin (inhibitor of SIRT1), ZLN005, a stimulator of peroxisome proliferator-activated receptor γ coactivator-1α (PGC-1α), or PGC-1α silencing RNA. In the brains of the APP/PS1 mice, expressions of SIRT1, PGC-1α, low-density lipoprotein receptor (LDLR) and very LDLR (VLDLR) were reduced at the protein and, in some cases, mRNA levels; while the levels of the proprotein convertase subtilisin/kexin type 9 (PCSK9), apolipoprotein E (ApoE), total cholesterol and LDL were all elevated. Interestingly, these changes were reversed by administration of RSV, while being aggravated by suramin. Furthermore, activation of PGC-1α, but inhibition of SIRT1, decreased the levels of PCSK9 and ApoE, while increased those of LDLR and VLDLR in the neurons exposed to Aβ, and silencing PGC-1α, but activation of SIRT1, did not influence the levels of any of these proteins. These findings indicate that RSV can attenuate the disruption of lipid metabolism observed in the brains of APP mice and in primary neurons exposed to Aβ by activating SIRT1, in which the mechanism may involve subsequently affecting PGC-1α.
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Affiliation(s)
- Yang-Ting Dong
- Key Laboratory of Endemic and Ethnic Diseases (Guizhou Medical University) of the Ministry of Education and Provincial Key Laboratory of Medical Molecular Biology, Guiyang 550004, PR China; Department of Pathology at the Affiliated Hospital of Guizhou Medical University, Guiyang 550004, PR China
| | - Kun Cao
- Department of Pathology at the Affiliated Hospital of Guizhou Medical University, Guiyang 550004, PR China
| | - Jie Xiang
- Department of Pathology at the Affiliated Hospital of Guizhou Medical University, Guiyang 550004, PR China
| | - Xiao-Lan Qi
- Key Laboratory of Endemic and Ethnic Diseases (Guizhou Medical University) of the Ministry of Education and Provincial Key Laboratory of Medical Molecular Biology, Guiyang 550004, PR China
| | - Yan Xiao
- Key Laboratory of Endemic and Ethnic Diseases (Guizhou Medical University) of the Ministry of Education and Provincial Key Laboratory of Medical Molecular Biology, Guiyang 550004, PR China
| | - Wen-Feng Yu
- Key Laboratory of Endemic and Ethnic Diseases (Guizhou Medical University) of the Ministry of Education and Provincial Key Laboratory of Medical Molecular Biology, Guiyang 550004, PR China
| | - Yan He
- Key Laboratory of Endemic and Ethnic Diseases (Guizhou Medical University) of the Ministry of Education and Provincial Key Laboratory of Medical Molecular Biology, Guiyang 550004, PR China
| | - Wei Hong
- Key Laboratory of Endemic and Ethnic Diseases (Guizhou Medical University) of the Ministry of Education and Provincial Key Laboratory of Medical Molecular Biology, Guiyang 550004, PR China
| | - Zhi-Zhong Guan
- Key Laboratory of Endemic and Ethnic Diseases (Guizhou Medical University) of the Ministry of Education and Provincial Key Laboratory of Medical Molecular Biology, Guiyang 550004, PR China; Department of Pathology at the Affiliated Hospital of Guizhou Medical University, Guiyang 550004, PR China.
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21
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He A, Wang Z, Wu X, Sun W, Yang K, Feng W, Wang Y, Song H. Incidence of post-stroke cognitive impairment in patients with first-ever ischemic stroke: a multicenter cross-sectional study in China. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2023; 33:100687. [PMID: 37181529 PMCID: PMC10166998 DOI: 10.1016/j.lanwpc.2023.100687] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 12/11/2022] [Accepted: 12/24/2022] [Indexed: 01/15/2023]
Abstract
Background Post-stroke cognitive impairment (PSCI) is a common sequela after stroke. China has a large population of stroke survivors, but a large-scale survey on the incidence and risk factors for PSCI has not been undertaken. We aimed to calculate the incidence and risk factors for vascular cognitive symptoms among first-ever stroke survivors in China through a multicenter cross-sectional study. Methods From May 1, 2019 to November 30, 2019, patients with a clinical diagnosis of first-ever ischemic stroke were recruited from 563 hospitalized-based stroke center networks in 30 provinces of China. Cognitive impairment was measured by 5-min National Institute of Neurological Disease and Stroke-Canadian Stroke Network (NINDS-CSN) at 3-6 months after the indexed stroke. Stepwise multivariate regression and stratified analysis were performed to assess the association between PSCI and demographic variables. Findings A total of 24,055 first-ever ischemic stroke patients were enrolled, with an average age of 70.25 ± 9.88 years. The incidence of PSCI as per the 5-min NINDS-CSN was 78.7%. Age ≥75 years old (OR: 1.887, 95%CI: 1.391-2.559), western regional residence (OR: 1.620, 95%CI: 1.411-1.860) and lower education level were associated with increased PSCI risk. Hypertension might be related to non-PSCI (OR: 0.832, 95%CI: 0.779-0.888). For patients under 45 years old, unemployment was an independent risk factor for PSCI (OR: 6.097, 95%CI: 1.385-26.830). For patients who were residents of the southern region (OR: 1.490, 95%CI: 1.185-1.873) and non-manual workers (OR: 2.122, 95%CI: 1.188-3.792), diabetes was related to PSCI. Interpretation PSCI is common in Chinese patients with first-ever stroke, and many risk factors are related to the occurrence of PSCI. Funding The Beijing Hospitals Authority Youth Program (No. QMS20200801); Youth Program of the National Natural Science Foundation of China (No. 81801142); the Key Project of Science and Technology Development of China Railway Corporation (No. K2019Z005); The Capital Health Research and Development of Special (No. 2020-2-2014); Science and Technology Innovation 2030-Major Project (No. 2021ZD0201806).
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Affiliation(s)
- Aini He
- Department of Neurology, Xuanwu Hospital, Capital Medicine University, Beijing, China
| | - Zu Wang
- Department of Neurology, Beijing Haidian Hospital, Beijing, China
| | - Xiao Wu
- Department of Neurology, Xuanwu Hospital, Capital Medicine University, Beijing, China
| | - Wei Sun
- Department of Neurology, Xuanwu Hospital, Capital Medicine University, Beijing, China
| | - Kun Yang
- The Office of National Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Wuwei Feng
- Department of Neurology, Duke University School of Medicine, USA
| | - Yuan Wang
- Department of Neurology, Xuanwu Hospital, Capital Medicine University, Beijing, China
| | - Haiqing Song
- Department of Neurology, Xuanwu Hospital, Capital Medicine University, Beijing, China
- Beijing Stroke Quality Control Center, Beijing, China
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22
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Pillai JA, Bena J, Bekris L, Kodur N, Kasumov T, Leverenz JB, Kashyap SR. Metabolic syndrome biomarkers relate to rate of cognitive decline in MCI and dementia stages of Alzheimer's disease. Alzheimers Res Ther 2023; 15:54. [PMID: 36927447 PMCID: PMC10018847 DOI: 10.1186/s13195-023-01203-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 03/07/2023] [Indexed: 03/18/2023]
Abstract
BACKGROUND The relationship between biomarkers of metabolic syndrome and insulin resistance, plasma triglyceride/HDL cholesterol (TG/HDL-C) ratio, on the rate of cognitive decline in mild cognitive impairment (MCI) and dementia stages of Alzheimer's disease (AD) is unknown. The role of peripheral and cerebrospinal fluid (CSF) levels of Apolipoprotein A1 (ApoA1), a key functional component of HDL, on cognitive decline also remains unclear among them. Here we evaluate baseline plasma TG/HDL-C ratio and CSF and plasma ApoA1 levels and their relation with cognitive decline in the MCI and Dementia stages of AD. PATIENTS AND METHODS A retrospective longitudinal study (156 participants; 106 MCI, 50 AD dementia) from the Alzheimer's Disease Neuroimaging Initiative, with an average of 4.0 (SD 2.8) years follow-up. Baseline plasma TG/HDL-C, plasma, and CSF ApoA1 and their relationship to inflammation and blood-brain barrier (BBB) biomarkers and longitudinal cognitive outcomes were evaluated. Multivariable linear mixed effect models were used to assess the effect of baseline analytes with longitudinal changes in Mini-Mental State Exam (MMSE), Clinical Dementia Rating-Sum of Boxes (CDR-SB), and Logical Memory delayed recall (LM) score after controlling for well-known covariates. RESULTS A total of 156 participants included 98 women, 63%; mean age was 74.9 (SD 7.3) years. At baseline, MCI and dementia groups did not differ significantly in TG/HDL-C (Wilcoxon W statistic = 0.39, p = 0.39) and CSF ApoA1 levels (W = 3642, p = 0.29), but the dementia group had higher plasma ApoA1 than the MCI group (W = 4615, p = 0.01). Higher TG/HDL-C ratio was associated with faster decline in CDR-SB among MCI and dementia groups. Higher plasma ApoA1 was associated with faster decline in MMSE and LM among MCI, while in contrast higher CSF ApoA1 levels related to slower cognitive decline in MMSE among MCI. CSF and plasma ApoA1 also show opposite directional correlations with biomarkers of BBB integrity. CSF but not plasma levels of ApoA1 positively correlated to inflammation analytes in the AGE-RAGE signaling pathway in diabetic complications (KEGG ID:KO04933). CONCLUSIONS Biomarkers of metabolic syndrome relate to rate of cognitive decline among MCI and dementia individuals. Elevated plasma TG/HDL-C ratio and plasma ApoA1 are associated with worse cognitive outcomes in MCI and dementia participants. CSF ApoA1 and plasma ApoA1 likely have different roles in AD progression in MCI stage.
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Affiliation(s)
- Jagan A Pillai
- Lou Ruvo Center for Brain Health, Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, 9500 Euclid Ave/U10, Cleveland, OH, 44195, USA. .,Neurological Institute, Cleveland Clinic Lerner College of Medicine, Cleveland, OH, 44195, USA. .,Department of Neurology, Cleveland Clinic Lerner College of Medicine, Cleveland, OH, 44195, USA. .,Cleveland Clinic Lerner College of Medicine, Cleveland, OH, 44195, USA.
| | - James Bena
- Quantitative Health Sciences, Cleveland Clinic Lerner College of Medicine, Cleveland, OH, 44195, USA
| | - Lynn Bekris
- Cleveland Clinic Lerner College of Medicine, Cleveland, OH, 44195, USA.,Lerner Research Institute, Cleveland Clinic Lerner College of Medicine, Cleveland, OH, 44195, USA
| | - Nandan Kodur
- Cleveland Clinic Lerner College of Medicine, Cleveland, OH, 44195, USA
| | - Takhar Kasumov
- Department of Pharmaceutical Sciences, Northeast Ohio Medical University, Rootstown, OH, 44272, USA
| | - James B Leverenz
- Lou Ruvo Center for Brain Health, Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, 9500 Euclid Ave/U10, Cleveland, OH, 44195, USA.,Neurological Institute, Cleveland Clinic Lerner College of Medicine, Cleveland, OH, 44195, USA.,Department of Neurology, Cleveland Clinic Lerner College of Medicine, Cleveland, OH, 44195, USA.,Cleveland Clinic Lerner College of Medicine, Cleveland, OH, 44195, USA
| | - Sangeeta R Kashyap
- Cleveland Clinic Lerner College of Medicine, Cleveland, OH, 44195, USA.,Division of Endocrinology, Diabetes and Metabolism, Weill Cornell Medicine New York Presbyterian, New York, NY, 10021, USA
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23
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Zorkina Y, Abramova O, Ushakova V, Andreyuk D, Andriushchenko N, Pavlov K, Savilov V, Soloveva K, Kurmishev M, Syunyakov T, Karpenko O, Andryushchenko A, Gurina O, Kostyuk G, Morozova A. Inflammatory biomarkers and lipid metabolism parameters in women with mild cognitive impairment and dementia. Women Health 2023; 63:285-295. [PMID: 36882933 DOI: 10.1080/03630242.2023.2185750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/09/2023]
Abstract
The detection of specific markers of dementia and mild cognitive decline (MCI) could be the key to disease prevention and forehanded treatment. Female gender is one of the major risk factor for dementia. The aim of our study was to compare serum concentration of some factors related to lipid metabolism and the immune system in patients with MCI and dementia. The study was performed on women >65 years old: controls (n = 75), diagnosed with dementia (n = 73) and MCI (n = 142). Patients were evaluated using Mini-Mental State Examination, Clock Drawing Test and Montreal Cognitive Assessment scales in the period 2020-2021. The level of Apo A1 and HDL was significantly decreased in patients with dementia; the level of Apo A1 was also decreased in MCI. EGF, eotaxin-1, GRO-α, and IP-10 were elevated in patients with dementia compared to the controls. IL-8, MIP-1β, sCD40L, and TNF-α levels were decreased in MCI patients and increased in patients with dementia compared to the control. Serum VEGF levels were decreased in MCI and dementia patients in comparison with the control. We hypothesize that no single marker can indicate a neurodegenerative process. Future research should focus on identifying markers to determine possible diagnostic combinations that can reliably predict neurodegeneration.
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Affiliation(s)
- Yana Zorkina
- Research Centre for Neuropsychiatry, Mental-Health Clinic No. 1 named after N.A. Alekseev, Moscow, Russia.,Department of Basic and Applied Neurobiology, V. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, Moscow, Russia
| | - Olga Abramova
- Research Centre for Neuropsychiatry, Mental-Health Clinic No. 1 named after N.A. Alekseev, Moscow, Russia.,Department of Basic and Applied Neurobiology, V. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, Moscow, Russia
| | - Valeria Ushakova
- Research Centre for Neuropsychiatry, Mental-Health Clinic No. 1 named after N.A. Alekseev, Moscow, Russia.,Department of Basic and Applied Neurobiology, V. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, Moscow, Russia
| | - Denis Andreyuk
- Research Centre for Neuropsychiatry, Mental-Health Clinic No. 1 named after N.A. Alekseev, Moscow, Russia
| | - Nika Andriushchenko
- Department of Biology, Shenzhen MSU-BIT University, Shenzhen, Guangdong, China
| | - Konstantin Pavlov
- Department of Basic and Applied Neurobiology, V. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, Moscow, Russia
| | - Victor Savilov
- Research Centre for Neuropsychiatry, Mental-Health Clinic No. 1 named after N.A. Alekseev, Moscow, Russia
| | - Kristina Soloveva
- Research Centre for Neuropsychiatry, Mental-Health Clinic No. 1 named after N.A. Alekseev, Moscow, Russia
| | - Marat Kurmishev
- Research Centre for Neuropsychiatry, Mental-Health Clinic No. 1 named after N.A. Alekseev, Moscow, Russia
| | - Timur Syunyakov
- Research Centre for Neuropsychiatry, Mental-Health Clinic No. 1 named after N.A. Alekseev, Moscow, Russia
| | - Olga Karpenko
- Research Centre for Neuropsychiatry, Mental-Health Clinic No. 1 named after N.A. Alekseev, Moscow, Russia
| | - Alisa Andryushchenko
- Research Centre for Neuropsychiatry, Mental-Health Clinic No. 1 named after N.A. Alekseev, Moscow, Russia
| | - Olga Gurina
- Department of Basic and Applied Neurobiology, V. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, Moscow, Russia
| | - Georgiy Kostyuk
- Research Centre for Neuropsychiatry, Mental-Health Clinic No. 1 named after N.A. Alekseev, Moscow, Russia
| | - Anna Morozova
- Research Centre for Neuropsychiatry, Mental-Health Clinic No. 1 named after N.A. Alekseev, Moscow, Russia.,Department of Basic and Applied Neurobiology, V. Serbsky Federal Medical Research Centre of Psychiatry and Narcology, Moscow, Russia
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24
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Yin F. Lipid metabolism and Alzheimer's disease: clinical evidence, mechanistic link and therapeutic promise. FEBS J 2023; 290:1420-1453. [PMID: 34997690 PMCID: PMC9259766 DOI: 10.1111/febs.16344] [Citation(s) in RCA: 69] [Impact Index Per Article: 69.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Revised: 12/14/2021] [Accepted: 01/05/2022] [Indexed: 02/06/2023]
Abstract
Alzheimer's disease (AD) is an age-associated neurodegenerative disorder with multifactorial etiology, intersecting genetic and environmental risk factors, and a lack of disease-modifying therapeutics. While the abnormal accumulation of lipids was described in the very first report of AD neuropathology, it was not until recent decades that lipid dyshomeostasis became a focus of AD research. Clinically, lipidomic and metabolomic studies have consistently shown alterations in the levels of various lipid classes emerging in early stages of AD brains. Mechanistically, decades of discovery research have revealed multifaceted interactions between lipid metabolism and key AD pathogenic mechanisms including amyloidogenesis, bioenergetic deficit, oxidative stress, neuroinflammation, and myelin degeneration. In the present review, converging evidence defining lipid dyshomeostasis in AD is summarized, followed by discussions on mechanisms by which lipid metabolism contributes to pathogenesis and modifies disease risk. Furthermore, lipid-targeting therapeutic strategies, and the modification of their efficacy by disease stage, ApoE status, and metabolic and vascular profiles, are reviewed.
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Affiliation(s)
- Fei Yin
- Center for Innovation in Brain Science, University of Arizona Health Sciences, Tucson, AZ, USA.,Department of Pharmacology, College of Medicine Tucson, University of Arizona, Tucson, AZ, USA.,Graduate Interdisciplinary Program in Neuroscience, University of Arizona, Tucson, AZ, USA
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25
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Nasab AS, Noorani F, Paeizi Z, Khani L, Banaei S, Sadeghi M, Shafeghat M, Shafie M, Mayeli M, Initiative (ADNI) TADN. A Comprehensive Investigation of the Potential Role of Lipoproteins and Metabolite Profile as Biomarkers of Alzheimer's Disease Compared to the Known CSF Biomarkers. Int J Alzheimers Dis 2023; 2023:3540020. [PMID: 36936136 PMCID: PMC10019964 DOI: 10.1155/2023/3540020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 12/22/2022] [Accepted: 01/30/2023] [Indexed: 03/14/2023] Open
Abstract
Introduction While cerebrospinal fluid (CSF) core biomarkers have been considered diagnostic biomarkers for a long time, special attention has been recently dedicated to lipoproteins and metabolites that could be potentially associated with Alzheimer's disease (AD) neurodegeneration. Herein, we aimed to investigate the relationship between the levels of CSF core biomarkers including Aβ-42, TAU, and P-TAU and plasma lipoproteins and metabolites of patients with AD from the baseline cohort of the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. Method Using the ADNI database, fourteen subclasses of lipoproteins as well as a number of lipids and fatty acids and low-molecular metabolites including amino acids, ketone bodies, and glycolysis-related metabolites in blood samples were measured as potential noninvasive markers, and their association with the CSF core biomarkers was statistically investigated controlling for age and gender. Results A total number of 251 AD subjects were included, among whom 71 subjects were negative for the Apo-E ε4 allele and 150 were positive. There was no significant difference between the two groups regarding cognitive assessments, CSF core biomarkers, and lipoproteins and metabolites except the level of Aβ-42 (p < 0.001) and phenylalanine (p = 0.049), which were higher in the negative group. CSF TAU and P-TAU were significantly correlated with medium and small HDL in the negative group, and with extremely large VLDL in the positive group. Our results also indicated significant correlations of metabolites including unsaturated fatty acids, glycerol, and leucine with CSF core biomarkers. Conclusion Based on our findings, a number of lipoproteins and metabolites were associated with CSF core biomarkers of AD. These correlations showed some differences in Apo-E ε4 positive and negative groups, which reminds the role of Apo-E gene status in the pathophysiology of AD development. However, further research is warranted to explore the exact association of lipoproteins and other metabolites with AD core biomarkers and pathology.
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Affiliation(s)
- Azam Sajjadi Nasab
- 1NeuroTRACT Association, Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Noorani
- 1NeuroTRACT Association, Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Zahra Paeizi
- 1NeuroTRACT Association, Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Leila Khani
- 1NeuroTRACT Association, Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Saba Banaei
- 1NeuroTRACT Association, Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Sadeghi
- 1NeuroTRACT Association, Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Melika Shafeghat
- 1NeuroTRACT Association, Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
- 2School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahan Shafie
- 1NeuroTRACT Association, Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
- 2School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahsa Mayeli
- 1NeuroTRACT Association, Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
- 2School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
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26
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Xie YY, Zhao L, Gao LJ, Xu RX, Gao Y, Dou KF, Guo YL, He YM. Association between remnant cholesterol and verbal learning and memory function in the elderly in the US. Lipids Health Dis 2022; 21:120. [DOI: 10.1186/s12944-022-01729-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 11/01/2022] [Indexed: 11/16/2022] Open
Abstract
Abstract
Background
The relationship between remnant cholesterol (RC) and atherosclerotic cardiovascular risk has been given increasing attention in recent years. However, its association with verbal learning and memory performance has not been reported.
Methods
Data were extracted from the National Health and Nutrition Examination Survey (NHANES) 2011–2014 database. Participants aged ≥60 years with available fasting lipid data were included. Verbal learning and memory performance were evaluated using the Consortium to Establish a Registry for Alzheimer’s Disease Word List Memory Task (CERAD-WL) subtest. The CERAD total score was calculated as the mean of three immediate recalls and a delayed recall. RC was calculated as total cholesterol (TC) minus the sum of low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C). Multivariate ordinal logistic regression was performed to evaluate the association between RC, as well as its derived marker, the TC/RC ratio, and age-stratified quartiles of the CERAD total score.
Results
A total of 1377 participants were analysed. On a continuous scale, per 1 mmol/L increase in RC and per 1 unit increase in the TC/RC ratio were associated with multivariable adjusted odds ratios (95% CI) of 0.74 (0.58–0.94) and 1.45 (1.13–1.87), respectively, for having a CERAD total score in a higher quartile. On a categorical scale, higher RC quartiles were associated with a CERAD total score in a lower quartile; in contrast, the higher TC/RC quartile was associated with a CERAD total score in a higher quartile (all P for trend < 0.05).
Conclusions
The current study suggests that lower RC levels and a higher TC/RC ratio are associated with better verbal learning and memory function, which indicates that lowering RC levels could be beneficial for preventing cognitive impairment in elderly individuals. Further research is needed to validate the causal roles of RC and the TC/RC ratio in cognition.
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Quantitative NMR-Based Lipoprotein Analysis Identifies Elevated HDL-4 and Triglycerides in the Serum of Alzheimer’s Disease Patients. Int J Mol Sci 2022; 23:ijms232012472. [PMID: 36293327 PMCID: PMC9604278 DOI: 10.3390/ijms232012472] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 09/30/2022] [Accepted: 10/08/2022] [Indexed: 11/17/2022] Open
Abstract
Alzheimer’s disease (AD) is the most common form of dementia in the elderly and has been associated with changes in lipoprotein metabolism. We performed quantitative lipoprotein analysis in a local cohort of cognitively impaired elderly and control subjects using standardized nuclear magnetic resonance (NMR) spectroscopy. A commercially available quantitative NMR-based assay covering 112 lipoprotein main and subtype variables was used to investigate blood serum samples from a moderate cohort size of 161 persons (71 female, 90 male), including measures of quality control. Additionally, clinical metadata and cerebrospinal fluid AD biomarkers were collected and used for analysis. High-density lipoprotein (HDL) HDL-4 subfraction levels were mostly high in female individuals with mild cognitive impairment (MCI), followed by AD. Low-density lipoprotein (LDL) LDL-2 cholesterol was slightly elevated in male AD patients. HDL-2 apolipoprotein Apo-A1, HDL-2 phospholipids, and HDL-3 triglycerides were highly abundant in AD and MCI women compared to men. When considering clinical biomarkers (Aβ, tau), very low-density lipoprotein (VLDL) VLDL-1 and intermediate-density lipoprotein (IDL) triglycerides were substantially higher in AD compared to MCI. In addition, triglyceride levels correlated positively with dementia. Different lipoprotein serum patterns were identified for AD, MCI, and control subjects. Interestingly, HDL-4 and LDL-2 cholesterol parameters revealed strong gender-specific changes in the context of AD-driven dementia. As gender-based comparisons were based on smaller sub-groups with a low n-number, several statistical findings did not meet the significance threshold for multiple comparisons testing. Still, our finding suggests that serum HDL-4 parameters and various triglycerides correlate positively with AD pathology which could be a read-out of extended lipids traveling through the blood-brain barrier, supporting amyloid plaque formation processes. Thereof, we see herein a proof of concept that this quantitative NMR-based lipoprotein assay can generate important and highly interesting data for refined AD diagnosis and patient stratification, especially when larger cohorts are available.
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Linking the Low-Density Lipoprotein-Cholesterol (LDL) Level to Arsenic Acid, Dimethylarsinic, and Monomethylarsonic: Results from a National Population-Based Study from the NHANES, 2003–2020. Nutrients 2022; 14:nu14193993. [PMID: 36235646 PMCID: PMC9573665 DOI: 10.3390/nu14193993] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 09/15/2022] [Accepted: 09/23/2022] [Indexed: 11/17/2022] Open
Abstract
Arsenic (As) contamination is a global public health problem. Elevated total cholesterol (TC) and low-density lipoprotein-cholesterol (LDL-C) are risk factors for cardiovascular diseases, but data on the association of urinary arsenic species’ level and LDL-C are limited. We performed an association analysis based on urinary arsenic species and blood TC and LDL-C in US adults. Methods: Urinary arsenic, arsenic acid (AA), dimethylarsinic (DMA), monomethylarsonic (MMA), TC, LDL-C, and other key covariates were obtained from the available National Health and Nutrition Examination Survey (NHANES) data from 2003 to 2020. Multiple linear regression analysis and generalized linear model are used to analyze linear and nonlinear relationships, respectively. Results: In total, 6633 adults aged 20 years were enrolled into the analysis. The median total urinary arsenic level was 7.86 µg/L. A positive association of urinary arsenic concentration quartiles was observed with TC (β: 2.42 95% CI 1.48, 3.36). The OR for TC of participants in the 80th versus 20th percentiles of urinary total arsenic was 1.34 (95% CI 1.13, 1.59). The OR for LDL-C of participants in the 80th versus 20th percentiles of urinary total arsenic was 1.36 (95% CI 1.15, 1.62). For speciated arsenics analysis, the OR for arsenic acid and TC was 1.35 (95% CI 1.02, 1.79), whereas the OR for DMA and LDL-L was 1.20 (95% CI 1.03, 1.41), and the OR for MMA and LDL-L was 1.30 (95% CI 1.11, 1.52). Conclusions: Urinary arsenic and arsenic species were positively associated with increased LDL-C concentration. Prevention of exposure to arsenic and arsenic species maybe helpful for the control of TC and LDL-C level in adults.
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Chen AC, Fang TJ, Ho HH, Chen JF, Kuo YW, Huang YY, Tsai SY, Wu SF, Lin HC, Yeh YT. A multi-strain probiotic blend reshaped obesity-related gut dysbiosis and improved lipid metabolism in obese children. Front Nutr 2022; 9:922993. [PMID: 35990345 PMCID: PMC9386160 DOI: 10.3389/fnut.2022.922993] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 07/01/2022] [Indexed: 11/15/2022] Open
Abstract
Background and aims Obese children are more prone to becoming obese adults, and excess adiposity consequently increases the risk of many complications, such as metabolic syndromes, non-alcoholic fatty liver disease, cardiovascular disease, etc. This study aimed to evaluate the effects of multi-strain probiotics on the gut microbiota and weight control in obese children. Methods A double-blind, randomized, placebo-controlled trial was carried out on overweight and obese children. Subjects received 12 weeks of treatment with supplementary probiotics that contained three strains: Lactobacillus salivarius AP-32, L. rhamnosus bv-77, and Bifidobacterium animalis CP-9, plus diet and exercise guidance. A total of 82 children were enrolled, and 53 children completed the study. Results The supplementation of multi-strain probiotics resulted in a significant effect demonstrating high-density lipoprotein (HDL) and adiponectin elevation. At the same time, body mass index (BMI) and serum total cholesterol, low-density lipoprotein (LDL), leptin, and tumor necrosis factor-alpha (TNF-α) levels were reduced. Lactobacillus spp. and B. animalis were particularly increased in subjects who received probiotic supplements. The abundance of Lactobacillus spp. was inversely correlated with the ether lipid metabolism pathway, while that of B. animalis was positively correlated with serum adiponectin levels. Conclusion Our results show that obesity-related gut dysbiosis can be reshaped by the supplementation of a multi-strain probiotic to improve lipid metabolism. The regular administration of a multi-strain probiotic supplement may be helpful for weight control and health management in overweight and obese children.
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Affiliation(s)
- An-Chyi Chen
- Division of Pediatric Gastroenterology, China Medical University Children's Hospital, Taichung City, Taiwan.,School of Medicine, China Medical University, Taichung City, Taiwan
| | - Tzu-Jung Fang
- College of Medicine, Graduate Institute of Clinical Medicine, Kaohsiung Medical University, Kaohsiung City, Taiwan.,Division of Geriatrics and Gerontology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung City, Taiwan
| | - Hsieh-Hsun Ho
- Department of Research and Design, Glac Biotech Co., Ltd., Tainan City, Taiwan
| | - Jui-Fen Chen
- Department of Research and Design, Glac Biotech Co., Ltd., Tainan City, Taiwan
| | - Yi-Wei Kuo
- Department of Research and Design, Glac Biotech Co., Ltd., Tainan City, Taiwan
| | - Yen-Yu Huang
- Department of Research and Design, Glac Biotech Co., Ltd., Tainan City, Taiwan
| | - Shin-Yu Tsai
- Department of Research and Design, Glac Biotech Co., Ltd., Tainan City, Taiwan
| | - Shu-Fen Wu
- Division of Pediatric Gastroenterology, China Medical University Children's Hospital, Taichung City, Taiwan.,School of Medicine, China Medical University, Taichung City, Taiwan
| | - Hung-Chih Lin
- Division of Neonatology, China Medical University Children's Hospital, Taichung City, Taiwan.,School of Chinese Medicine, China Medical University, Taichung City, Taiwan.,Asia University Hospital, Asia University, Taichung City, Taiwan
| | - Yao-Tsung Yeh
- Aging and Disease Prevention Research Center, Fooyin University, Kaohsiung City, Taiwan.,Department of Medical Laboratory Science and Biotechnology, Fooyin University, Kaohsiung City, Taiwan
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Blood-Based Biomarkers for Alzheimer's Disease Diagnosis and Progression: An Overview. Cells 2022; 11:cells11081367. [PMID: 35456047 PMCID: PMC9044750 DOI: 10.3390/cells11081367] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 04/12/2022] [Accepted: 04/15/2022] [Indexed: 01/10/2023] Open
Abstract
Alzheimer’s Disease (AD) is a progressive neurodegenerative disease characterized by amyloid-β (Aβ) plaque deposition and neurofibrillary tangle accumulation in the brain. Although several studies have been conducted to unravel the complex and interconnected pathophysiology of AD, clinical trial failure rates have been high, and no disease-modifying therapies are presently available. Fluid biomarker discovery for AD is a rapidly expanding field of research aimed at anticipating disease diagnosis and following disease progression over time. Currently, Aβ1–42, phosphorylated tau, and total tau levels in the cerebrospinal fluid are the best-studied fluid biomarkers for AD, but the need for novel, cheap, less-invasive, easily detectable, and more-accessible markers has recently led to the search for new blood-based molecules. However, despite considerable research activity, a comprehensive and up-to-date overview of the main blood-based biomarker candidates is still lacking. In this narrative review, we discuss the role of proteins, lipids, metabolites, oxidative-stress-related molecules, and cytokines as possible disease biomarkers. Furthermore, we highlight the potential of the emerging miRNAs and long non-coding RNAs (lncRNAs) as diagnostic tools, and we briefly present the role of vitamins and gut-microbiome-related molecules as novel candidates for AD detection and monitoring, thus offering new insights into the diagnosis and progression of this devastating disease.
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Zhang M, Zhu Y, Zhu Z. Research advances in the influence of lipid metabolism on cognitive impairment. IBRAIN 2022; 10:83-92. [PMID: 38682015 PMCID: PMC11045198 DOI: 10.1002/ibra.12018] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Revised: 12/28/2021] [Accepted: 12/29/2021] [Indexed: 05/01/2024]
Abstract
Cognitive impairment (CI) is a mental disorder related to cognition and understanding, which is mainly categorized into mild CI and senile dementia. This disease is associated with multiple factors, such as chronic brain injury, aging, chronic systemic disease, mental state, and psychological factors. However, the pathological mechanism of CI remains unclear; it is usually associated with such underlying diseases as diabetes and hyperlipidemia. It has been demonstrated that abundant lipid metabolism indexes in the human body are closely related to CI, including total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglycerides, apolipoprotein, and so forth. As a crucial risk factor for CI, hyperlipidemia is of great significance in the occurrence and development of CI. However, the specific correlation between dyslipidemia and CI is still not fully elucidated. Besides, the efficacy of lipid-lowering drugs in the prophylaxis and treatment of CI has not been clarified. In this study, relevant advances in the influence of lipid metabolism disorders in CI will be reviewed, in an attempt to explore the effect of mediating blood lipid levels on the prophylaxis and treatment of CI, thus providing a reference for its clinical management.
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Affiliation(s)
- Min Zhang
- Department of AnesthesiologyAffiliated Hospital of Zunyi Medical UniversityZunyiGuizhouChina
- Suining Central HospitalSuiningSichuanChina
| | - Yu‐Hang Zhu
- Department of AnesthesiologyAffiliated Hospital of Zunyi Medical UniversityZunyiGuizhouChina
| | - Zhao‐Qiong Zhu
- Department of AnesthesiologyAffiliated Hospital of Zunyi Medical UniversityZunyiGuizhouChina
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Bonfili L, Cuccioloni M, Gong C, Cecarini V, Spina M, Zheng Y, Angeletti M, Eleuteri AM. Gut microbiota modulation in Alzheimer’s disease: focus on lipid metabolism. Clin Nutr 2022; 41:698-708. [DOI: 10.1016/j.clnu.2022.01.025] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 12/03/2021] [Accepted: 01/26/2022] [Indexed: 11/26/2022]
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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: 4] [Impact Index Per Article: 2.0] [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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Song R, Han S, Gao H, Jiang H, Li X. Crocin alleviates cognitive impairment associated with atherosclerosis via improving neuroinflammation in LDLR -/- mice fed a high-fat/cholesterol diet. Phytother Res 2022; 36:1284-1296. [PMID: 35084779 DOI: 10.1002/ptr.7384] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 12/28/2021] [Accepted: 01/02/2022] [Indexed: 12/15/2022]
Abstract
Crocin has been extensively investigated in treating neurodegenerative diseases. However, its effect on cognitive impairment associated with atherosclerosis remains unknown. The present study aimed to explore the potential mechanism of crocin on cognitive impairment in a mouse model of atherosclerosis. LDLR-/- mice fed a high-fat/cholesterol diet were administered variable-dose crocin for 56 days through gavage. Biochemical tests showed that serum triglycerides and circulating lipopolysaccharide decreased in mice treated with crocin. Behavioral tests indicated that crocin alleviated cognitive impairment by reducing latency to the platform and increasing the swimming distance in the target quadrant. This mechanism might be associated with crocin inhibiting Aβ deposition by decreasing Aβ1-42 and tau phosphorylation. Crocin improved neuroinflammation by inhibiting the increase in reactive microglia and astrocytes, weakening NLRP3 inflammasome activation accompanied by a reduction in Caspase-1 and IL-1β, and blocking TLR4 signaling accompanied by a decrease in NF-kB p65 and MyD88. In addition, crocin raised the protein expression of ZO-1 and occludin. These findings provide experimental support that crocin attenuates cognitive impairment associated with atherosclerosis by repressing neuroinflammation, which is attributed to its suppression on the activation of microglia and astrocytes, and the production of inflammatory cytokines via targeting the NLRP3 inflammasome and TLR4 signaling.
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Affiliation(s)
- Ruijuan Song
- Department of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, China
| | - Shufen Han
- Department of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, China.,Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Suzhou, China.,School of Public Health, Hangzhou Normal University, Hangzhou, China
| | - Hui Gao
- Department of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, China
| | - Hui Jiang
- Department of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, China
| | - Xinli Li
- Department of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, China
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Metabolic Syndrome, Cognitive Impairment and the Role of Diet: A Narrative Review. Nutrients 2022; 14:nu14020333. [PMID: 35057514 PMCID: PMC8780484 DOI: 10.3390/nu14020333] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 01/04/2022] [Accepted: 01/10/2022] [Indexed: 01/27/2023] Open
Abstract
Background: This narrative review presents the association between metabolic syndrome (MetS), along with its components, and cognition-related disorders, as well as the potential reversal role of diet against cognitive impairment by modulating MetS. Methods: An electronic research in Medline (Pubmed) and Scopus was conducted. Results: MetS and cognitive decline share common cardiometabolic pathways as MetS components can trigger cognitive impairment. On the other side, the risk factors for both MetS and cognitive impairment can be reduced by optimizing the nutritional intake. Clinical manifestations such as dyslipidemia, hypertension, diabetes and increased central body adiposity are nutrition-related risk factors present during the prodromal period before cognitive impairment. The Mediterranean dietary pattern stands among the most discussed predominantly plant-based diets in relation to cardiometabolic disorders that may prevent dementia, Alzheimer’s disease and other cognition-related disorders. In addition, accumulating evidence suggests that the consumption of specific dietary food groups as a part of the overall diet can improve cognitive outcomes, maybe due to their involvement in cardiometabolic paths. Conclusions: Early MetS detection may be helpful to prevent or delay cognitive decline. Moreover, this review highlights the importance of healthy nutritional habits to reverse such conditions and the urgency of early lifestyle interventions.
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Kim KY, Shin KY, Chang KA. Potential Biomarkers for Post-Stroke Cognitive Impairment: A Systematic Review and Meta-Analysis. Int J Mol Sci 2022; 23:ijms23020602. [PMID: 35054785 PMCID: PMC8775398 DOI: 10.3390/ijms23020602] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 12/23/2021] [Accepted: 12/23/2021] [Indexed: 01/27/2023] Open
Abstract
Stroke is a primary debilitating disease in adults, occurring in 15 million individuals each year and causing high mortality and disability rates. The latest estimate revealed that stroke is currently the second leading cause of death worldwide. Post-stroke cognitive impairment (PSCI), one of the major complications after stroke, is frequently underdiagnosed. However, stroke has been reported to increase the risk of cognitive impairment by at least five to eight times. In recent decades, peripheral blood molecular biomarkers for stroke have emerged as diagnostic, prognostic, and therapeutic targets. In this study, we aimed to evaluate some blood-derived proteins for stroke, especially related to brain damage and cognitive impairments, by conducting a systematic review and meta-analysis and discussing the possibility of these proteins as biomarkers for PSCI. Articles published before 26 July 2021 were searched in PubMed, Embase, the Web of Science, and the Cochrane Library to identify all relevant studies reporting blood biomarkers in patients with stroke. Among 1820 articles, 40 were finally identified for this study. We meta-analyzed eight peripheral biomarker candidates: homocysteine (Hcy), high-density lipoprotein cholesterol (HDL-C), C-reactive protein (CRP), low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), triglyceride (TG), uric acid, and glycated hemoglobin (HbA1c). The Hcy, CRP, TC, and LDL-C levels were significantly higher in patients with PSCI than in the non-PSCI group; however, the HDL-C, TG, uric acid, and HbA1c levels were not different between the two groups. Based on our findings, we suggest the Hcy, CRP, TC, and LDL-C as possible biomarkers in patients with post-stroke cognitive impairment. Thus, certain blood proteins could be suggested as effective biomarkers for PSCI.
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Affiliation(s)
- Ka Young Kim
- Department of Nursing, College of Nursing, Gachon University, Incheon 21936, Korea;
- Neuroscience Research Institute, Gachon University, Incheon 21565, Korea
| | - Ki Young Shin
- Bio-MAX Institute, Seoul National University, Seoul 08826, Korea
- Correspondence: (K.Y.S.); (K.-A.C.)
| | - Keun-A Chang
- Neuroscience Research Institute, Gachon University, Incheon 21565, Korea
- Department of Pharmacology, College of Medicine, Gachon University, Incheon 21936, Korea
- Neuroscience of Health Sciences and Technology, Gachon Advanced Institute for Health Sciences and Technology, Gachon University, Incheon 21936, Korea
- Correspondence: (K.Y.S.); (K.-A.C.)
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Deng X, Saffari SE, Ng SYE, Chia N, Tan JY, Choi X, Heng DL, Xu Z, Tay KY, Au WL, Liu N, Ng A, Tan EK, Tan LCS. Blood Lipid Biomarkers in Early Parkinson's Disease and Parkinson's Disease with Mild Cognitive Impairment. JOURNAL OF PARKINSON'S DISEASE 2022; 12:1937-1943. [PMID: 35723114 DOI: 10.3233/jpd-213135] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
BACKGROUND Lipid biomarkers have potential neuroprotective effects in Parkinson's disease (PD) and there is limited evidence in the field. OBJECTIVE This study aims to investigate the association between comprehensive blood lipid biomarkers and PD. METHODS A total of 205 PD patients and 102 non-PD subjects were included from Early Parkinson's disease Longitudinal Singapore (PALS) cohort. We investigated 6 serum lipid biomarkers including total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), apolipoprotein A1 (Apo A1), low-density lipoprotein cholesterol (LDL-C), and apolipoprotein B (Apo B). PD patients were further classified into mild cognitive impairment (MCI) and normal cognition (NC) subgroups. We conducted a cross-sectionals study to examine the association between lipids and PD and further explored the relationship between lipids and PD-MCI. RESULTS PD patients had significantly lower level of lipid panel including TC, TG, HDL-C, Apo A1, LDL-C, and Apo B (all p < 0.05). TC, TG, Apo A1, and Apo B levels were independent protective factors (p < 0.05) for PD in the logistic regression model. PD-MCI group had significantly higher mean TC, TG, and Apo A1 levels compared to PD-NC group. Higher TC, TG, and Apo A1 levels were independent risk factors (p < 0.05) for PD-MCI. CONCLUSION We demonstrated that PD patients had significantly lower levels of lipid biomarkers while PD-MCI patients had higher levels of TC, TG, and Apo A1. TC, TG, and Apo A1 may be useful biomarkers for PD-MCI.
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Affiliation(s)
- Xiao Deng
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Seyed Ehsan Saffari
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
- Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore
| | - Samuel Yong Ern Ng
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
| | - Nicole Chia
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
| | - Jayne Yi Tan
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
| | - Xinyi Choi
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
| | - Dede Liana Heng
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
| | - Zheyu Xu
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
| | - Kay-Yaw Tay
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
| | - Wing-Lok Au
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Nan Liu
- Programme in Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore
| | - Adeline Ng
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Eng-King Tan
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Louis C S Tan
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
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Li Y, Li M, Zhao K, Wang Y, Tan X, Qin C, Rao Y, Sun Z, Ge L, Cao Z, Liang Y, Qiu S. Altered dynamic functional architecture in type 2 diabetes mellitus. Front Endocrinol (Lausanne) 2022; 13:1117735. [PMID: 36760808 PMCID: PMC9903314 DOI: 10.3389/fendo.2022.1117735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 12/29/2022] [Indexed: 01/25/2023] Open
Abstract
INTRODUCTION Type 2 diabetes mellitus (T2DM) can accelerate cognitive decline and even dementia so that the underlying mechanism deserves further exploration. In the resting state, brain function is still changing dynamically. At present, it is still unknown whether the dynamic functional connectivity (dFC) between various brain regions is in a stable state. It is necessary to interpret brain changes from a new perspective, that is, the stability of brain architecture. METHODS In this study, we used a fixed dynamic time scale to explore the stability of dynamic functional architecture in T2DM, then the dynamic effective connectivity (dEC) was used to further explain how information flows through dynamically fluctuating brain architecture in T2DM. RESULT Two brain regions with decreased stability were found including the right supra-marginal gyrus (SMG) and the right median cingulate gyrus (MCG) in T2DM subjects. The dEC variation has increased between the left inferior frontal gyrus (IFG) and the right MCG. The direction of causal flow is from the right MCG to the left IFG. CONCLUSION The combination of stability and dEC can not only show the stability of dynamic functional architecture in brain but also reflect the fluidity of brain information, which is an innovative and interesting attempt in the field of neuroimaging. The changes of dynamic architecture in T2DM patients may present an innovative perspective and explanation for their cognitive decline.
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Affiliation(s)
- Yifan Li
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
- Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Mingrui Li
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
- Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
- Department of Magnetic Resonance Imaging, Zhanjiang First Hospital of Traditional Chinese Medicine, Zhanjiang, China
| | - Kui Zhao
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
- Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yan Wang
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
- Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xin Tan
- Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Chunhong Qin
- Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yawen Rao
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
- Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Zhizhong Sun
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
- Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Limin Ge
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
- Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Zidong Cao
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
- Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yi Liang
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
- Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
- *Correspondence: Shijun Qiu, ; Yi Liang,
| | - Shijun Qiu
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China
- Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
- *Correspondence: Shijun Qiu, ; Yi Liang,
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Zarzar TG, Lee B, Coughlin R, Kim D, Shen L, Hall MA. Sex Differences in the Metabolome of Alzheimer's Disease Progression. FRONTIERS IN RADIOLOGY 2022; 2:782864. [PMID: 35445209 PMCID: PMC9014653 DOI: 10.3389/fradi.2022.782864] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Alzheimer's disease (AD) is the leading cause of dementia; however, men and women face differential AD prevalence, presentation, and progression risks. Characterizing metabolomic profiles during AD progression is fundamental to understand the metabolic disruptions and the biological pathways involved. However, outstanding questions remain of whether peripheral metabolic changes occur equally in men and women with AD. Here, we evaluated differential effects of metabolomic and brain volume associations between sexes. We used three cohorts from the Alzheimer's Disease Neuroimaging Initiative (ADNI), evaluated 1,368 participants, two metabolomic platforms with 380 metabolites in total, and six brain segment volumes. Using dimension reduction techniques, we took advantage of the correlation structure of the brain volume phenotypes and the metabolite concentration values to reduce the number of tests while aggregating relevant biological structures. Using WGCNA, we aggregated modules of highly co-expressed metabolites. On the other hand, we used partial least squares regression-discriminant analysis (PLS-DA) to extract components of brain volumes that maximally co-vary with AD diagnosis as phenotypes. We tested for differences in effect sizes between sexes in the association between single metabolite and metabolite modules with the brain volume components. We found five metabolite modules and 125 single metabolites with significant differences between sexes. These results highlight a differential lipid disruption in AD progression between sexes. Men showed a greater negative association of phosphatidylcholines and sphingomyelins and a positive association of VLDL and large LDL with AD progression. In contrast, women showed a positive association of triglycerides in VLDL and small and medium LDL with AD progression. Explicitly identifying sex differences in metabolomics during AD progression can highlight particular metabolic disruptions in each sex. Our research study and strategy can lead to better-tailored studies and better-suited treatments that take sex differences into account.
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Affiliation(s)
- Tomás González Zarzar
- Department of Veterinary and Biomedical Sciences, College of Agricultural Sciences, The Pennsylvania State University, University Park, PA, United States.,Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, United States
| | - Brian Lee
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Rory Coughlin
- Department of Veterinary and Biomedical Sciences, College of Agricultural Sciences, The Pennsylvania State University, University Park, PA, United States
| | - Dokyoon Kim
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Li Shen
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Molly A Hall
- Department of Veterinary and Biomedical Sciences, College of Agricultural Sciences, The Pennsylvania State University, University Park, PA, United States.,Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, United States.,Penn State Cancer Institute, The Pennsylvania State University, University Park, PA, United States
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Huang SY, Yang YX, Zhang YR, Kuo K, Li HQ, Shen XN, Chen SD, Chen KL, Dong Q, Tan L, Yu JT. Investigating Causal Relations Between Circulating Metabolites and Alzheimer's Disease: A Mendelian Randomization Study. J Alzheimers Dis 2022; 87:463-477. [PMID: 35275550 DOI: 10.3233/jad-220050] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
BACKGROUND Metabolomics is a promising approach that can be used to understand pathophysiological pathways of Alzheimer's disease (AD). However, the causal relationships between metabolism and AD are poorly understood. OBJECTIVE We aimed to investigate the causal association between circulating metabolites and risk of AD through two-sample Mendelian randomization (MR) approach. METHODS Genetic associations with 123 circulating metabolic traits were utilized as exposures. Summary statistics data from International Genomics of Alzheimer's Project was used in primary analysis, including 21,982 AD cases and 41,944 controls. Validation was performed using family history of AD data from UK Biobank (27,696 cases of maternal AD, 14,338 cases of paternal AD, and 272,244 controls). We utilized inverse-variance weighted method as primary method. RESULTS We found significantly increased risks of developing AD per standard deviation increase in the levels of circulating ApoB (odd ratio[OR] = 3.18; 95% confidence interval[CI]: 1.52-6.66, p = 0.0022), glycoprotein acetyls (OR = 1.21; 95% CI: 1.05-1.39, p = 0.0093), total cholesterol (OR = 2.73; 95% CI: 1.41-5.30, p = 0.0030), and low-density lipoprotein (LDL) cholesterol (OR = 2.34; 95% CI: 1.53-3.57, p = 0.0001). Whereas glutamine (OR = 0.81; 95% CI: 0.71-0.92, p = 0.0011) were significantly associated with lower risk of AD. We also detected causal effects of several different composition of LDL fractions on increased AD risk, which has been verified in validation. However, we found no association between circulating high-density lipoprotein cholesterol and AD. CONCLUSION Our findings suggest causal effects of circulating glycoprotein acetyls, ApoB, LDL cholesterol, and serum total cholesterol on higher risk of AD, whereas glutamine showed the protective effect.
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Affiliation(s)
- Shu-Yi Huang
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, China
| | - Yu-Xiang Yang
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, China
| | - Ya-Ru Zhang
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, China
| | - Kevin Kuo
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, China
| | - Hong-Qi Li
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, China
| | - Xue-Ning Shen
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, China
| | - Shi-Dong Chen
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, China
| | - Ke-Liang Chen
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, China
| | - Qiang Dong
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, China
| | - Jin-Tai Yu
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, China
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Dong Y, Ding M, Cui M, Fang M, Gong L, Xu Z, Zhang Y, Wang X, Xu X, Liu X, Li G, Zhao Y, Dong Q. Development and validation of a clinical model (DREAM-LDL) for post-stroke cognitive impairment at 6 months. Aging (Albany NY) 2021; 13:21628-21641. [PMID: 34506303 PMCID: PMC8457606 DOI: 10.18632/aging.203507] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Accepted: 08/17/2021] [Indexed: 01/31/2023]
Abstract
Introduction: This multicenter, retrospective study assessed the prevalence of post-stroke cognitive impairment (PSCI) 6 months after acute ischemic stroke (AIS) and its risk factors to build a bedside early predictive model for PSCI using the Montreal Cognitive Assessment (MoCA). Methods: Records of consecutive patients with AIS treated at 4 stroke centers in Shanghai had MoCA assessments within 2 weeks after AIS onset and 6 months later were reviewed. Prevalence of PSCI (MoCA<22) was calculated and risk factors were identified by multivariate logistic regression analysis. The modeling and validation and identified risk factors were included in a predictive model using multivariate regression. Results: There were 383 patients included and prevalence of PSCI 6 months after AIS was 34.2%, significantly lower than prevalence of patients with acute cognitive impairment (49.6%). Aging, less education, higher glucose level and severe stroke were PSCI risk factors, while level of low-density lipoprotein cholesterol (LDL-C) had a paradox effect on the risk of PSCI. 40.0% of the patients with cognitive impairment at acute phase reverted to normal, and patients with LDL-C 1.8-2.5 mmol/L were more likely to revert. The predictive model we built, DREAM-LDL (Diabetes [fasting blood glucose level], Rating [NIHSS], level of Education, Age, baseline MoCA and LDL-C level), had an AUROC of 0.93 for predicting PSCI at 6 months. Conclusion: PSCI was common among AIS patients 6 months after AIS. We provided a practical tool to predict PSCI based on MoCA and risk factors present during acute phase of AIS.
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Affiliation(s)
- Yi Dong
- Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Mengyuan Ding
- Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Mei Cui
- Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Min Fang
- Department of Neurology, The Tenth People's Hospital Affiliated to Tongji University, Shanghai, China
| | - Li Gong
- Department of Neurology, The Tenth People's Hospital Affiliated to Tongji University, Shanghai, China
| | - Zhuojun Xu
- Department of Neurology, The East Hospital Affiliated to Tongji University, Shanghai, China
| | - Yue Zhang
- Department of Neurology, The East Hospital Affiliated to Tongji University, Shanghai, China
| | - Xiuzhe Wang
- Department of Neurology, The Six People's Hospital Affiliated to Shanghai Jiao Tong University, Shanghai, China
| | - Xiaofeng Xu
- Department of Neurology, The Six People's Hospital Affiliated to Shanghai Jiao Tong University, Shanghai, China
| | - Xueyuan Liu
- Department of Neurology, The Tenth People's Hospital Affiliated to Tongji University, Shanghai, China
| | - Gang Li
- Department of Neurology, The East Hospital Affiliated to Tongji University, Shanghai, China
| | - Yuwu Zhao
- Department of Neurology, The Six People's Hospital Affiliated to Shanghai Jiao Tong University, Shanghai, China
| | - Qiang Dong
- Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
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Zhang SJ, Ni JM, Ding GR, Xie YZ, Tang YL. Edaravone Protects Nerve Synapse Damage in Alzheimer’s Disease via Regulating Rho (Ras Homologue)/Rho-Associated Protein Kinase (Rho/ROCK) Pathway. J BIOMATER TISS ENG 2021. [DOI: 10.1166/jbt.2021.2698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Edaravone regulates Rho/ROCK signaling pathway and its relationship with Alzheimer’s disease (AD) damage repair remains unclear. Our study aims to explore the protective mechanism of edar-avone on Alzheimer Disease nerve synapses. The Alzheimer Disease animal mouse model was established
followed by analysis of hippocampal synaptic damage by Congo red stain and Golgi’s method, Morris water maze assay, levels of postsynaptic density mRNA 95 antibody (PSD95) and synapse-associated mRNA synapsin 1 (SYN1) in the hippocampus. Edaravone can improve the behavior of mice, including
spatial learning and memory, and reduce senile plaques in the cerebral cortex of APP/PS1 mice. Edaravone can upregulate the expression of synapse-related mRNA SYN1 and PSD95 in the hippocampus of APP/PS1 mice and inhibit Rho and ROCK mRNA level. Edaravone targets the Rho/ROCK pathway to protect
Alzheimer Disease nerve synapse damage, indicating that the Rho/ROCK pathway may be a key link in the effect of edaravone.
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Affiliation(s)
- Shan-Jing Zhang
- Department of Internal Medicine, Hangzhou Fuyang Hospital of Traditional Chinese Medicine, Hangzhou, Zhejiang 311400, China
| | - Jian-Ming Ni
- Department of Internal Medicine, Hangzhou Fuyang Hospital of Traditional Chinese Medicine, Hangzhou, Zhejiang 311400, China
| | - Guo-Rong Ding
- Department of Internal Medicine, Hangzhou Fuyang Hospital of Traditional Chinese Medicine, Hangzhou, Zhejiang 311400, China
| | - Yan-Zhong Xie
- Department of Internal Medicine, Hangzhou Fuyang Hospital of Traditional Chinese Medicine, Hangzhou, Zhejiang 311400, China
| | - Yan-Liang Tang
- Department of Internal Medicine, Hangzhou Fuyang Hospital of Traditional Chinese Medicine, Hangzhou, Zhejiang 311400, China
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Association between Serum Concentrations of Apolipoprotein A-I (ApoA-I) and Alzheimer's Disease: Systematic Review and Meta-Analysis. Diagnostics (Basel) 2021; 11:diagnostics11060984. [PMID: 34071695 PMCID: PMC8229134 DOI: 10.3390/diagnostics11060984] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 05/26/2021] [Accepted: 05/27/2021] [Indexed: 02/08/2023] Open
Abstract
Background: A wealth of experimental and epidemiological evidence suggest that Apolipoprotein A-I (ApoA-I), the main protein constituent of high-density lipoprotein (HDL), may protect against Alzheimer disease (AD). To investigate this potential role, we conducted a meta-analysis of the published studies on the relationship between serum ApoA-I and AD occurrence. Methods: We screened MEDLINE, EMBASE, Web of Science, and Scopus, for cross-sectional studies published from inception to 1 March 2021, comparing the ApoA-I serum levels between patients with AD and cognitively normal controls. Results: From an initial screening of 245 articles, 5 studies, including 397 AD patients (mean age 75.0 years, 234 females) and 367 controls (mean age 69.2 years, 182 females), met the inclusion criteria. Compared to healthy controls, AD subjects had a lower ApoA-I serum level. The pooled weighted mean difference from a random-effects model was −0.31 g/L (p < 0.0001) (95% Confidence Interval: [−0.62–0.01], with high heterogeneity (I2 = 100%). The Egger’s test confirmed an absence of publication bias (t = 0.62, p = 0.576). Conclusions: Our study showed that AD patients present lower serum levels of ApoA-I compared to cognitively normal individuals. Further studies on large population samples are required to support this finding.
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Santiago JA, Potashkin JA. The Impact of Disease Comorbidities in Alzheimer's Disease. Front Aging Neurosci 2021; 13:631770. [PMID: 33643025 PMCID: PMC7906983 DOI: 10.3389/fnagi.2021.631770] [Citation(s) in RCA: 105] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Accepted: 01/21/2021] [Indexed: 12/14/2022] Open
Abstract
A wide range of comorbid diseases is associated with Alzheimer's disease (AD), the most common neurodegenerative disease worldwide. Evidence from clinical and molecular studies suggest that chronic diseases, including diabetes, cardiovascular disease, depression, and inflammatory bowel disease, may be associated with an increased risk of AD in different populations. Disruption in several shared biological pathways has been proposed as the underlying mechanism for the association between AD and these comorbidities. Notably, inflammation is a common dysregulated pathway shared by most of the comorbidities associated with AD. Some drugs commonly prescribed to patients with diabetes and cardiovascular disease have shown promising results in AD patients. Systems-based biology studies have identified common genetic factors and dysregulated pathways that may explain the relationship of comorbid disorders in AD. Nonetheless, the precise mechanisms for the occurrence of disease comorbidities in AD are not entirely understood. Here, we discuss the impact of the most common comorbidities in the clinical management of AD patients.
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Affiliation(s)
| | - Judith A Potashkin
- Cellular and Molecular Pharmacology Department, Center for Neurodegenerative Diseases and Therapeutics, The Chicago Medical School, Rosalind Franklin University of Medicine and Science, North Chicago, IL, United States
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45
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Agarwal M, Khan S. Plasma Lipids as Biomarkers for Alzheimer's Disease: A Systematic Review. Cureus 2020; 12:e12008. [PMID: 33457117 PMCID: PMC7797449 DOI: 10.7759/cureus.12008] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Accepted: 12/10/2020] [Indexed: 12/22/2022] Open
Abstract
Alzheimer's disease (AD) is caused by several risk factors leading to dementia. It's diagnosis usually depends on clinical presentation and certain biomarkers in the cerebrospinal fluid (CSF). The brain has a high content of cholesterol and the metabolism of cholesterol in the brain can be associated with beta-amyloid plaques formation, which is seen in Alzheimer's disease. Given these implications, we studied if plasma lipid levels can vary in Alzheimer's disease and if these can be used as biomarkers to diagnose and predict the progression of Alzheimer's disease. Certain mutations in the brain cholesterol transport receptors and proteins and their association with Alzheimer's were also studied. This systematic review abides by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We searched multiple databases, such as Pubmed, Google Scholar, Pubmed central, ScienceDirect, Web of Science, and Medline with the help of keywords like Alzheimer's disease, cognitive impairment, plasma lipid biomarkers, cholesterol, brain cholesterol metabolism separately and in combination with each other. We collected 49 quality appraised articles on the association between plasma lipids and Alzheimer's disease and the genetic mutations in alleles related to cholesterol metabolism and Alzheimer's disease by applying the inclusion and exclusion criteria. Based on the finding of the studies reviewed, we found an association between plasma lipids, polymorphisms in genes associated with cholesterol transport, and Alzheimer's disease. Increased serum low-density lipoprotein (LDL-C), triglycerides (TG), total cholesterol (TC), sphingolipids, 24S hydroxycholesterol (24S-HC), 27O hydroxycholesterol (27O-HC) was associated with Alzheimer's. Decreased high-density lipoprotein (HDL-C) and phospholipids were noticed. Genetic mutations in apolipoprotein E (ApoE), apolipoprotein B (ApoB), apolipoprotein A (ApoA), ATP binding cassette transporter 1 (ABCA1), ATP binding cassette transporter 7 (ABCA7), amyloid precursor protein (APP), cytochrome P450 family 46 subfamilies A member 1 (CYP46A1), presenilin 1 (PSEN1), presenilin 2 (PSEN2) are also associated with increased risk of Alzheimer's disease. This study found an association between plasma lipids and Alzheimer's, proving that plasma lipids can be used as biomarkers for early diagnosis of Alzheimer's disease. It may also help predict the prognosis and stage the disease severity. Further studies are needed to find out the exact mechanism behind these changes.
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Affiliation(s)
- Mehak Agarwal
- Internal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
| | - Safeera Khan
- Internal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
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Fu J, Liu Q, Du Y, Zhu Y, Sun C, Lin H, Jin M, Ma F, Li W, Liu H, Zhang X, Chen Y, Sun Z, Wang G, Huang G. Age- and Sex-Specific Prevalence and Modifiable Risk Factors of Mild Cognitive Impairment Among Older Adults in China: A Population-Based Observational Study. Front Aging Neurosci 2020; 12:578742. [PMID: 33192471 PMCID: PMC7662098 DOI: 10.3389/fnagi.2020.578742] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Accepted: 09/23/2020] [Indexed: 12/11/2022] Open
Abstract
Background Minimal data are available on the prevalence of mild cognitive impairment (MCI) in older Chinese adults. Moreover, the current information on MCI shows important geographical variations. Objective We aimed to assess the prevalence and risk factors for MCI by age and sex among older adults in a North Chinese population. Methods In this population-based cross-sectional study, we enrolled a random sample of 4,943 adults aged ≥ 60 years between March 2018 and June 2019 in Tianjin, China. Of these, 312 individuals were excluded due to a lack of data (e.g., fasting blood test). As a result, 4,631 subjects were assessed. Individuals with MCI were identified using neuropsychological assessments, including the Mini-Mental State Examination and Activities of Daily Living scale, based on a modified version of the Petersen’s criteria. Results The mean (SD) age of the 4,631 participants was 67.6 (4.89) years, and 2,579 (55.7%) were female. The overall age- and sex-standardized prevalence of MCI in our study population was 10.7%. There were significant associations of MCI with age [65–69 vs. 60–64 years, OR = 0.74; 95% confidence interval (CI): 0.58, 0.96], physical activity (≥23.0 vs. <23.0 MET-hours/week, OR = 0.79; 95% CI: 0.64, 0.96), body mass index (BMI) (OR = 0.92; 95% CI: 0.89, 0.95), grip strength (OR = 0.50; 95% CI: 0.38, 0.67), hypertension (yes vs. no, OR = 1.44; 95% CI: 1.18, 1.77), higher levels of sleepiness (OR = 1.80; 95% CI: 1.36, 2.37), and longer sleep duration (OR = 1.40; 95% CI: 1.14, 1.72). The inverse association between BMI and MCI was stronger in older age groups (P for heterogeneity = 0.003). Moreover, the magnitude of association between triglycerides and MCI was different between the sexes (P for heterogeneity = 0.029). Conclusion The age- and sex-standardized prevalence of MCI was 10.7% in the study sample. Physical activity, BMI, grip strength, sleepiness, sleep duration, and hypertension were associated with the prevalence of MCI. Additionally, triglycerides and BMI might be differently associated with the presence of MCI for different sexes and age stages, respectively.
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Affiliation(s)
- Jingzhu Fu
- Department of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
| | - Qian Liu
- Department of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
| | - Yue Du
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China.,Department of Social Medicine and Health Management, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yun Zhu
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China.,Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Changqing Sun
- Neurosurgical Department of Baodi Clinical College of Tianjin Medical University, Tianjin, China
| | - Hongyan Lin
- Department of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
| | - Mengdi Jin
- Department of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
| | - Fei Ma
- Department of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
| | - Wen Li
- Department of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
| | - Huan Liu
- Department of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
| | - Xumei Zhang
- Department of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
| | - Yongjie Chen
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China.,Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Zhuoyu Sun
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China.,Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Guangshun Wang
- Department of Tumor, Baodi Clinical College of Tianjin Medical University, Tianjin, China
| | - Guowei Huang
- Department of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
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Sáiz-Vazquez O, Puente-Martínez A, Ubillos-Landa S, Pacheco-Bonrostro J, Santabárbara J. Cholesterol and Alzheimer's Disease Risk: A Meta-Meta-Analysis. Brain Sci 2020; 10:E386. [PMID: 32570800 PMCID: PMC7349210 DOI: 10.3390/brainsci10060386] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Revised: 06/07/2020] [Accepted: 06/14/2020] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Alzheimer's disease (AD) is the most common subtype of dementia. In the last ten years, the relationship between cholesterol and AD has been investigated. Evidence suggests that cholesterol is associated with AD and represents promising targets for intervention. However, the causality of these associations is unclear. Therefore, we sought to conduct a meta-meta-analysis to determine the effect of cholesterol on the development AD. Then, we assessed the effect of serum levels of low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C), total cholesterol (TC) and triglycerides (TG), on AD risk. METHODS A systematic search of meta-analyses was conducted. Scopus, Web of Science, Science direct, PubMed and Google academic system databases were reviewed. RESULTS We found 100 primary studies and five meta-analyses to analyze the relationships between cholesterol and AD. The total effect of cholesterol on risk of AD was significant and heterogeneous. Subgroup analysis shows that LDL-C levels influence the development of AD. However, non-significant effects of HDL-C, TC and TG levels on AD were found. CONCLUSIONS These results strengthen the evidence that LDL-C cholesterol levels increase risk for AD. More initiatives to investigate the relationship between cholesterol and AD are needed.
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Affiliation(s)
- Olalla Sáiz-Vazquez
- Department of Occupational Therapy, Faculty of Health Science, University of Burgos, C/Villadiego, 1, 09001 Burgos, Spain;
| | - Alicia Puente-Martínez
- Department of Social Psychology and Methodology of Behavioral Science, University of the Basque Country, Avenida Tolosa 70, 20018 San Sebastián, Spain;
| | - Silvia Ubillos-Landa
- Department of Social Psychology, Faculty of Health Science, University of Burgos, C/Villadiego, 1, 09001 Burgos, Spain
| | - Joaquín Pacheco-Bonrostro
- Department of Applied Economy, Faculty of Economics and Business Sciences, University of Burgos, Pza. De la Infanta Dª Elena, s/n. 09001 Burgos, Spain;
| | - Javier Santabárbara
- Department of Microbiology, Pediatrics, Radiology and Public Health, University of Zaragoza, C/Domingo Miral s/n, 50009 Zaragoza, Spain;
- Aragonese Institute of Health Sciences (IIS Aragón), 50009 Zaragoza, Spain
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