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Domingo-Relloso A, McGraw KE, Heckbert SR, Luchsinger JA, Schilling K, Glabonjat RA, Martinez-Morata I, Mayer M, Liu Y, Wood AC, Goldsmith J, Hayden KM, Habes M, Nasrallah IM, Bryan RN, Rashid T, Post WS, Rotter JI, Palta P, Valeri L, Hughes TM, Navas-Acien A. Urinary Metal Levels, Cognitive Test Performance, and Dementia in the Multi-Ethnic Study of Atherosclerosis. JAMA Netw Open 2024; 7:e2448286. [PMID: 39621345 PMCID: PMC11612832 DOI: 10.1001/jamanetworkopen.2024.48286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2024] [Accepted: 10/09/2024] [Indexed: 12/06/2024] Open
Abstract
Importance Metals are established neurotoxicants, but evidence of their association with cognitive performance at low chronic exposure levels is limited. Objective To investigate the association of urinary metal levels, individually and as a mixture, with cognitive tests and dementia diagnosis, including effect modification by apolipoprotein ε4 allele (APOE4). Design, Setting, and Participants The multicenter prospective cohort Multi-Ethnic Study of Atherosclerosis (MESA) was started from July 2000 to August 2002, with follow-up through 2018. A total of 6303 MESA participants were included. Data analysis was performed from October 12, 2023, to June 13, 2024. Exposure Urine samples were collected at baseline (2000-2002), and arsenic, cadmium, cobalt, copper, lead, manganese, tungsten, uranium, and zinc levels were measured in 2020-2022. Main Outcomes and Measures Digit Symbol Coding (DSC) (n = 3819) (possible score range, 0-133), Cognitive Abilities Screening Instrument (CASI) (n = 3918) (possible score range, 0-100), and Digit Span (DS) (n = 4176) (possible score range, 0-30) cognitive tests were administered in 2010-2012; higher scores of each test indicate increasing levels of positive response. Results A total of 6303 participants were followed up for dementia diagnosis through 2018. The median age at baseline was 60 (IQR, 53-70) years, and 3303 participants (52.4%) were female. The median cognitive scores were 51 (IQR, 38-64) for DSC, 90 (IQR, 84-95) for CASI, and 15 (IQR, 12-18) for DS. There were 559 cases of dementia through the follow-up period. Inverse associations with DSC were identified: mean differences in z scores per IQR increase in metal levels were -0.03 (95% CI, -0.07 to 0.00) for arsenic, -0.05 (95% CI, -0.09 to -0.004) for cobalt, -0.05 (95% CI, -0.07 to -0.02) for copper, -0.04 (95% CI, -0.08 to -0.001) for uranium, and -0.03 (95% CI, -0.06 to -0.01) for zinc. Among 1058 APOE4 carriers, manganese was also inversely associated with DSC. The joint mean difference of DSC comparing percentile 95th with the 25th of the 9-metal mixture was -0.30 (95% CI, -0.47 to -0.14) for APOE4 carriers and -0.10 (95% CI, -0.19 to -0.01) for noncarriers. Arsenic, cadmium, cobalt, copper, tungsten, uranium, and zinc were individually associated with dementia, with hazard ratios per IQR of metal ranging from 1.15 (95% CI, 1.03-1.29) for tungsten to 1.46 (95% CI, 1.06-2.02) for uranium. The joint hazard ratio of dementia comparing percentiles 95th with the 25th of the 9-metal mixture was 1.71 (95% CI, 1.24-3.89), with no significant difference by APOE4 status. Conclusions and Relevance In this study, participants with higher concentrations of metals in their urine, compared with those with lower concentrations, had worse performance on cognitive tests and greater likelihood of developing dementia. The findings of this multicenter multiethnic cohort study might inform screening and potential interventions for prevention of dementia based on individuals' metal exposure levels and genetic profiles.
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Affiliation(s)
- Arce Domingo-Relloso
- Department of Biostatistics, Columbia University Mailman School of Public Health, New York, New York
- Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York
| | - Katlyn E. McGraw
- Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York
| | - Susan R. Heckbert
- Department of Epidemiology, University of Washington School of Public Health, Seattle
| | - Jose A. Luchsinger
- Division of General Medicine, Columbia University Department of Medicine, New York, New York
| | - Kathrin Schilling
- Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York
| | - Ronald A. Glabonjat
- Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York
| | - Irene Martinez-Morata
- Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York
| | - Melanie Mayer
- Department of Biostatistics, Columbia University Mailman School of Public Health, New York, New York
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York
| | - Yongmei Liu
- Department of Cardiology, Duke University School of Medicine, Durham, North Carolina
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina
- Department of Neurology, Duke University School of Medicine, Durham, North Carolina
| | - Alexis C. Wood
- US Department of Agriculture/Agricultural Research Service Children's Nutrition Research Center, Children’s Nutrition Research Center, Baylor College of Medicine, Houston, Texas
| | - Jeff Goldsmith
- Department of Biostatistics, Columbia University Mailman School of Public Health, New York, New York
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York
| | - Kathleen M. Hayden
- Department of Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | - Mohamad Habes
- Neuroimage Analytics Laboratory and the Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Science Center, San Antonio
| | | | - R. Nick Bryan
- Department of Radiology, University of Pennsylvania, Philadelphia
| | - Tanweer Rashid
- Neuroimage Analytics Laboratory, University of Texas, San Antonio, San Antonio
| | - Wendy S. Post
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California
| | - Priya Palta
- Department of Radiology, University of North Carolina School of Medicine, Chapell Hill
| | - Linda Valeri
- Department of Biostatistics, Columbia University Mailman School of Public Health, New York, New York
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York
| | - Timothy M. Hughes
- Department of Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | - Ana Navas-Acien
- Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York
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2
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Singh R, Panghal A, Jadhav K, Thakur A, Verma RK, Singh C, Goyal M, Kumar J, Namdeo AG. Recent Advances in Targeting Transition Metals (Copper, Iron, and Zinc) in Alzheimer's Disease. Mol Neurobiol 2024; 61:10916-10940. [PMID: 38809370 DOI: 10.1007/s12035-024-04256-8] [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: 01/05/2024] [Accepted: 05/21/2024] [Indexed: 05/30/2024]
Abstract
Changes in the transition metal homeostasis in the brain are closely linked with Alzheimer's disease (AD), including intraneuronal iron accumulation and extracellular copper and zinc pooling in the amyloid plague. The brain copper, zinc, and iron surplus are commonly acknowledged characteristics of AD, despite disagreements among some. This has led to the theory that oxidative stress resulting from abnormal homeostasis of these transition metals may be a causative explanation behind AD. In the nervous system, the interaction of metals with proteins appears to be an essential variable in the development or suppression of neurodegeneration. Chelation treatment may be an option for treating neurodegeneration induced by transition metal ion dyshomeostasis. Some clinicians even recommend using chelating agents as an adjunct therapy for AD. The current review also looks at the therapeutic strategies that have been attempted, primarily with metal-chelating drugs. Metal buildup in the nervous system, as reported in the AD, could be the result of compensatory mechanisms designed to improve metal availability for physiological functions.
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Affiliation(s)
- Raghuraj Singh
- Pharmaceutical Nanotechnology Lab, Institutes of Nano Science and Technology (INST), Sector 81. Mohali, Punjab, 140306, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Archna Panghal
- Department of Pharmacology and Toxicology, Facility for Risk Assessment and Intervention Studies, National Institute of Pharmaceutical Education and Research, S.A.S Nagar, Punjab, India
| | - Krishna Jadhav
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Ashima Thakur
- Faculty of Pharmaceutical Sciences, ICFAI University, Baddi, Distt. Solan, Himachal Pradesh, 174103, India
| | - Rahul Kumar Verma
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, 201002, India
| | - Charan Singh
- Department of Pharmaceutical Sciences Hemwati, Nandan Bahuguna Garhwal University (A Central University), Srinagar, Dist. Garhwal (Uttarakhand), 246174, India
| | - Manoj Goyal
- Department of Pharmaceutical Sciences Hemwati, Nandan Bahuguna Garhwal University (A Central University), Srinagar, Dist. Garhwal (Uttarakhand), 246174, India
| | - Jayant Kumar
- Department of Pharmaceutical Sciences Hemwati, Nandan Bahuguna Garhwal University (A Central University), Srinagar, Dist. Garhwal (Uttarakhand), 246174, India.
| | - Ajay G Namdeo
- Department of Pharmaceutical Sciences Hemwati, Nandan Bahuguna Garhwal University (A Central University), Srinagar, Dist. Garhwal (Uttarakhand), 246174, India
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3
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Min JH, Sarlus H, Harris RA. MAD-microbial (origin of) Alzheimer's disease hypothesis: from infection and the antimicrobial response to disruption of key copper-based systems. Front Neurosci 2024; 18:1467333. [PMID: 39416952 PMCID: PMC11480022 DOI: 10.3389/fnins.2024.1467333] [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: 07/19/2024] [Accepted: 09/20/2024] [Indexed: 10/19/2024] Open
Abstract
Microbes have been suspected to cause Alzheimer's disease since at least 1908, but this has generally remained unpopular in comparison to the amyloid hypothesis and the dominance of Aβ and Tau. However, evidence has been accumulating to suggest that these earlier theories are but a manifestation of a common cause that can trigger and interact with all the major molecular players recognized in AD. Aβ, Tau and ApoE, in particular appear to be molecules with normal homeostatic functions but also with alternative antimicrobial functions. Their alternative functions confer the non-immune specialized neuron with some innate intracellular defenses that appear to be re-appropriated from their normal functions in times of need. Indeed, signs of infection of the neurons by biofilm-forming microbial colonies, in synergy with herpes viruses, are evident from the clinical and preclinical studies we discuss. Furthermore, we attempt to provide a mechanistic understanding of the AD landscape by discussing the antimicrobial effect of Aβ, Tau and ApoE and Lactoferrin in AD, and a possible mechanistic link with deficiency of vital copper-based systems. In particular, we focus on mitochondrial oxidative respiration via complex 4 and ceruloplasmin for iron homeostasis, and how this is similar and possibly central to neurodegenerative diseases in general. In the case of AD, we provide evidence for the microbial Alzheimer's disease (MAD) theory, namely that AD could in fact be caused by a long-term microbial exposure or even long-term infection of the neurons themselves that results in a costly prolonged antimicrobial response that disrupts copper-based systems that govern neurotransmission, iron homeostasis and respiration. Finally, we discuss potential treatment modalities based on this holistic understanding of AD that incorporates the many separate and seemingly conflicting theories. If the MAD theory is correct, then the reduction of microbial exposure through use of broad antimicrobial and anti-inflammatory treatments could potentially alleviate AD although this requires further clinical investigation.
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Affiliation(s)
- Jin-Hong Min
- Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital at Solna, Stockholm, Sweden
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4
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Liu Q, Li J, Cheng X, Chen G, Zhang Y, Tian Z, Wang Y, Wang H, Guo X, Li H, Sun L, Hu B, Zhang D, Liang C, Sheng J, Tao F, Wang J, Yang L. APOE ε4 allele modifies the associations of toxic metals and their mixture with cognitive impairment among older adults. ENVIRONMENTAL RESEARCH 2024; 255:119148. [PMID: 38754607 DOI: 10.1016/j.envres.2024.119148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Revised: 04/01/2024] [Accepted: 05/13/2024] [Indexed: 05/18/2024]
Abstract
BACKGROUND The evidence of interactive effect of the toxic metal (TM) mixture and apolipoprotein E (APOE) ε4 gene on cognitive impairment in older adults is scarce. We aimed to explore whether the associations of single TMs and their mixture with cognitive impairment depend on APOE ε4 in Chinese community-dwelling older people. METHODS A total of 1148 older adults from a subset of the baseline survey of a cohort study were included. Blood arsenic (As), cadmium (Cd), lead (Pb), strontium (Sr), and vanadium (V) were detected by inductively coupled plasma mass spectrometry. APOE gene (rs429358, rs7412) polymorphisms were analyzed by the Polymerase Chain Reaction instrument. Mixed effects logistic regression was applied to estimate the relationships of single TMs and APOE genotype with cognitive impairment. Weighted quantile sum (WQS) and Bayesian kernel machine regression (BKMR) models were performed to examine joint impacts of the TM mixture, as well as the interaction of the TM mixture with APOE ε4 genotype on cognitive impairment. RESULTS Pb displayed a significant linear association with an increased odds of cognitive impairment after adjustment for covariates (Ptrend = 0.045). While APOE genotype did not show a significant correlation with cognitive impairment. WQS showed that the TM mixture was associated with an increased risk of cognitive impairment by 31.0% (OR=1.31, 95% CI: 0.92, 1.87) while no significance was found. BKMR exhibited a significant linear association between the TM mixture and cognitive impairment. Moreover, both WQS and BKMR indicated that Pb contributed the most to cognitive impairment within the mixture. Significant interactions of Pb or the TM mixture and APOE genotype on cognitive impairment were observed, contributing to 38.1% and 38.2% of total effects, respectively. CONCLUSIONS APOE ε4 allele amplifies the associations of single Pb or the TM mixture with cognitive impairment. These findings may help to develop precision prevention.
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Affiliation(s)
- Qiang Liu
- Department of Epidemiology and Health Statistics, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Junzhe Li
- Department of Epidemiology and Health Statistics, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Xuqiu Cheng
- Department of Epidemiology and Health Statistics, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Guimei Chen
- School of Health Services Management, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Yan Zhang
- Department of Epidemiology and Health Statistics, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Ziwei Tian
- Department of Epidemiology and Health Statistics, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Yuan Wang
- Department of Epidemiology and Health Statistics, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Hongli Wang
- Department of Epidemiology and Health Statistics, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Xianwei Guo
- Department of Epidemiology and Health Statistics, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Huaibiao Li
- Fuyang Center for Diseases Prevention and Control, Fuyang, 236069, Anhui, China
| | - Liang Sun
- Fuyang Center for Diseases Prevention and Control, Fuyang, 236069, Anhui, China
| | - Bing Hu
- Fuyang Center for Diseases Prevention and Control, Fuyang, 236069, Anhui, China
| | - Dongmei Zhang
- School of Health Services Management, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Chunmei Liang
- Department of Hygiene Inspection and Quarantine, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Jie Sheng
- Scientific Research Center in Preventive Medicine, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Fangbiao Tao
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, 230032, Anhui, China
| | - Jun Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Linsheng Yang
- Department of Epidemiology and Health Statistics, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China.
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5
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Gasmi M, Silvia Hardiany N, van der Merwe M, Martins IJ, Sharma A, Williams-Hooker R. The influence of time-restricted eating/feeding on Alzheimer's biomarkers and gut microbiota. Nutr Neurosci 2024:1-15. [PMID: 38953237 DOI: 10.1080/1028415x.2024.2359868] [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: 07/03/2024]
Abstract
OBJECTIVES Alzheimer's disease (AD) is a progressive neurodegenerative disorder affecting approximately 55 million individuals globally. Diagnosis typically occurs in advanced stages, and there are limited options for reversing symptoms. Preventive strategies are, therefore, crucial. Time Restricted Eating (TRE) or Time Restricted Feeding (TRF) is one such strategy. Here we review recent research on AD and TRE/TRF in addition to AD biomarkers and gut microbiota. METHODS A comprehensive review of recent studies was conducted to assess the impact of TRE/TRF on AD-related outcomes. This includes the analysis of how TRE/TRF influences circadian rhythms, beta-amyloid 42 (Aß42), pro-inflammatory cytokines levels, and gut microbiota composition. RESULTS TRE/TRF impacts circadian rhythms and can influence cognitive performance as observed in AD. It lowers beta-amyloid 42 deposition in the brain, a key AD biomarker, and reduces pro-ininflammatory cytokines. The gut microbiome has emerged as a modifiable factor in AD treatment. TRE/TRF changes the structure and composition of the gut microbiota, leading to increased diversity and a decrease in harmful bacteria. DISCUSSION These findings underscore the potential of TRE/TRF as a preventive strategy for AD. By reducing Aß42 plaques, modulating pro-inflammatory cytokines, and altering gut microbiota composition, TRE/TRF may slow the progression of AD. Further research is needed to confirm these effects and to understand the mechanisms involved. This review highlights TRE/TRF as a promising non-pharmacological intervention in the fight against AD.
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Affiliation(s)
- Maha Gasmi
- Higher Institute of Sport and Physical Education of Ksar said, Tunis, Tunisia
| | - Novi Silvia Hardiany
- Department of Biochemistry & Molecular Biology, Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia
- Molecular Biology and Proteomic Core Facilities, Indonesia Medical Education and Research Institute, Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia
| | - Marie van der Merwe
- Center for Nutraceuticals and Dietary Supplement Research, College of Health Sciences, University of Memphis, Memphis, TN, USA
| | - Ian J Martins
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
| | - Aastha Sharma
- Department of Basic and Applied Science. School of Engineering and Science, University - GD Goenka University Gurugram, India
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6
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Abdul-Rahman T, Awuah WA, Mikhailova T, Kalmanovich J, Mehta A, Ng JC, Coghlan MA, Zivcevska M, Tedeschi AJ, de Oliveira EC, Kumar A, Cantu-Herrera E, Lyndin M, Sikora K, Alexiou A, Bilgrami AL, Al-Ghamdi KM, Perveen A, Papadakis M, Ashraf GM. Antioxidant, anti-inflammatory and epigenetic potential of curcumin in Alzheimer's disease. Biofactors 2024; 50:693-708. [PMID: 38226733 DOI: 10.1002/biof.2039] [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: 06/21/2023] [Accepted: 12/20/2023] [Indexed: 01/17/2024]
Abstract
Alzheimer's disease (AD) constitutes a multifactorial neurodegenerative pathology characterized by cognitive deterioration, personality alterations, and behavioral shifts. The ongoing brain impairment process poses significant challenges for therapeutic interventions due to activating multiple neurotoxic pathways. Current pharmacological interventions have shown limited efficacy and are associated with significant side effects. Approaches focusing on the early interference with disease pathways, before activation of broad neurotoxic processes, could be promising to slow down symptomatic progression of the disease. Curcumin-an integral component of traditional medicine in numerous cultures worldwide-has garnered interest as a promising AD treatment. Current research indicates that curcumin may exhibit therapeutic potential in neurodegenerative pathologies, attributed to its potent anti-inflammatory and antioxidant properties. Additionally, curcumin and its derivatives have demonstrated an ability to modulate cellular pathways via epigenetic mechanisms. This article aims to raise awareness of the neuroprotective properties of curcuminoids that could provide therapeutic benefits in AD. The paper provides a comprehensive overview of the neuroprotective efficacy of curcumin against signaling pathways that could be involved in AD and summarizes recent evidence of the biological efficiency of curcumins in vivo.
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Affiliation(s)
- Toufik Abdul-Rahman
- Sumy State University, Sumy, Ukraine
- Toufik's World Medical Association, Ukraine
| | - Wireko Andrew Awuah
- Sumy State University, Sumy, Ukraine
- Toufik's World Medical Association, Ukraine
| | | | - Jacob Kalmanovich
- Drexel University College of Medicine, Philadelphia, Pennsylvania, United States
| | - Aashna Mehta
- University of Debrecen-Faculty of Medicine, Debrecen, Hungary
| | - Jyi Cheng Ng
- Faculty of Medicine and Health Sciences, University of Putra Malaysia, Serdang, Malaysia
| | - Megan Ariel Coghlan
- University of Louisville School of Medicine, Louisville, Kentucky, United States
| | - Marija Zivcevska
- Liberty University College of Osteopathic Medicine, Lynchburg, Virginia, United States
| | | | | | - Akinchita Kumar
- Lincoln Memorial University-DeBusk College of Osteopathic Medicine Harrogate, Harrogate, Tennessee, United States
| | - Emiliano Cantu-Herrera
- Department of Clinical Sciences, Division of Health Sciences, University of Monterrey, San Pedro Garza García, Nuevo León, Mexico
| | - Mykola Lyndin
- Sumy State University, Sumy, Ukraine
- Medical Faculty, Institute of Anatomy, University of Duisburg-Essen, Essen, Germany
| | | | - Athanasios Alexiou
- Department of Science and Engineering, Novel Global Community Educational Foundation, Hebersham, New South Wales, Australia
- University Centre for Research and Development, Chandigarh University, Mohali, Punjab, India
- AFNP Med, Wien, Austria
| | - Anwar L Bilgrami
- Deanship of Scientific Research, King Abdulaziz University, Jeddah, Saudi Arabia
| | | | - Asma Perveen
- Glocal School of Life Sciences, Glocal University, Saharanpur, Uttar Pradesh, India
- Princess Dr. Najla Bint Saud Al-Saud Center for Excellence Research in Biotechnology, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Marios Papadakis
- Department of Surgery II, University Hospital Witten-Herdecke, University of Witten-Herdecke, Wuppertal, Germany
| | - Ghulam Md Ashraf
- University of Sharjah, College of Health Sciences, and Research Institute for Medical and Health Sciences, Department of Medical Laboratory Sciences, Sharjah, United Arab Emirates
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7
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Everett J, Brooks J, Tjendana Tjhin V, Lermyte F, Hands-Portman I, Plascencia-Villa G, Perry G, Sadler PJ, O’Connor PB, Collingwood JF, Telling ND. Label-Free In Situ Chemical Characterization of Amyloid Plaques in Human Brain Tissues. ACS Chem Neurosci 2024; 15:1469-1483. [PMID: 38501754 PMCID: PMC10995949 DOI: 10.1021/acschemneuro.3c00756] [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: 11/22/2023] [Revised: 02/20/2024] [Accepted: 03/01/2024] [Indexed: 03/20/2024] Open
Abstract
The accumulation of amyloid plaques and increased brain redox burdens are neuropathological hallmarks of Alzheimer's disease. Altered metabolism of essential biometals is another feature of Alzheimer's, with amyloid plaques representing sites of disturbed metal homeostasis. Despite these observations, metal-targeting disease treatments have not been therapeutically effective to date. A better understanding of amyloid plaque composition and the role of the metals associated with them is critical. To establish this knowledge, the ability to resolve chemical variations at nanometer length scales relevant to biology is essential. Here, we present a methodology for the label-free, nanoscale chemical characterization of amyloid plaques within human Alzheimer's disease tissue using synchrotron X-ray spectromicroscopy. Our approach exploits a C-H carbon absorption feature, consistent with the presence of lipids, to visualize amyloid plaques selectively against the tissue background, allowing chemical analysis to be performed without the addition of amyloid dyes that alter the native sample chemistry. Using this approach, we show that amyloid plaques contain elevated levels of calcium, carbonates, and iron compared to the surrounding brain tissue. Chemical analysis of iron within plaques revealed the presence of chemically reduced, low-oxidation-state phases, including ferromagnetic metallic iron. The zero-oxidation state of ferromagnetic iron determines its high chemical reactivity and so may contribute to the redox burden in the Alzheimer's brain and thus drive neurodegeneration. Ferromagnetic metallic iron has no established physiological function in the brain and may represent a target for therapies designed to lower redox burdens in Alzheimer's disease. Additionally, ferromagnetic metallic iron has magnetic properties that are distinct from the iron oxide forms predominant in tissue, which might be exploitable for the in vivo detection of amyloid pathologies using magnetically sensitive imaging. We anticipate that this label-free X-ray imaging approach will provide further insights into the chemical composition of amyloid plaques, facilitating better understanding of how plaques influence the course of Alzheimer's disease.
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Affiliation(s)
- James Everett
- School
of Pharmacy and Bioengineering, Guy Hilton Research Centre, Keele University, Thornburrow Drive,Stoke-on-Trent,Staffordshire ST4 7QB, U.K.
- School
of Engineering, University of Warwick, Library Road,Coventry CV4 7AL, U.K.
| | - Jake Brooks
- School
of Engineering, University of Warwick, Library Road,Coventry CV4 7AL, U.K.
| | - Vindy Tjendana Tjhin
- School
of Engineering, University of Warwick, Library Road,Coventry CV4 7AL, U.K.
| | - Frederik Lermyte
- School
of Engineering, University of Warwick, Library Road,Coventry CV4 7AL, U.K.
- Department
of Chemistry, Technical University of Darmstadt, Alarich-Weiss-Strasse 4, 64287 Darmstadt, Germany
| | - Ian Hands-Portman
- School
of Life Sciences, University of Warwick, Gibbet Hill Campus,Coventry CV4 7AL, U.K.
| | - Germán Plascencia-Villa
- Department
of Developmental and Regenerative Biology, The University of Texas at San Antonio (UTSA), San Antonio, Texas 78249, United States
| | - George Perry
- Department
of Developmental and Regenerative Biology, The University of Texas at San Antonio (UTSA), San Antonio, Texas 78249, United States
| | - Peter J. Sadler
- Department
of Chemistry, University of Warwick, Library Road,Coventry CV4 7AL, U.K.
| | - Peter B. O’Connor
- Department
of Chemistry, University of Warwick, Library Road,Coventry CV4 7AL, U.K.
| | | | - Neil D. Telling
- School
of Pharmacy and Bioengineering, Guy Hilton Research Centre, Keele University, Thornburrow Drive,Stoke-on-Trent,Staffordshire ST4 7QB, U.K.
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8
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Zhu SY, Ge W, Zhang H. Diagnostic and prognostic implications of non-high-density lipoprotein cholesterol and homocysteine levels for cognitive impairment in thalamic infarction. World J Psychiatry 2023; 13:985-994. [PMID: 38186727 PMCID: PMC10768482 DOI: 10.5498/wjp.v13.i12.985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 11/06/2023] [Accepted: 12/02/2023] [Indexed: 12/19/2023] Open
Abstract
BACKGROUND Patients with thalamic infarction experience abnormal blockages of multinucleated vessels, affecting the body and thereby the thalamus. Most patients with thalamic infarction have an adverse prognosis, which seriously affects their safety. Therefore, it is essential to analyze the independent risk factors that influence the prognosis of patients with thalamic infarction and develop corresponding preventive measures. AIM To explore the effect of non-high-density lipoprotein cholesterol (non-HDL-C) and Homocysteine (Hcy) levels in cognitive impairment in thalamic infarction. METHODS From March 2019 to March 2022, 80 patients with thalamic infarction were divided into a group with cognitive impairment [Montreal Cognitive Assessment (MoCA) score < 26; 35 patients] and a group with normal cognitive function (MoCA score of 26-30; 45 patients) according to the MoCA score. In addition, 50 healthy people in the same period were selected as the control group. A correlation between the non-HDL-C and Hcy levels and the MoCA score and receiver operating characteristic curve was observed, and the serum non-HDL-C and Hcy levels were analyzed for the diagnosis of cognitive impairment in patients with thalamic infarction. According to the Modified Rankin Scale (MRS) score, 80 patients with thalamic infarction were divided into a good prognosis group (MRS score ≤ 2) and a poor prognosis group (MRS score >2). RESULTS The non-HDL-C and Hcy levels were significantly higher in the group with cognitive impairment than in the group with normal cognitive function (P < 0.05). There was no significant difference in the non-HDL-C level between the control group and the group with normal cognitive function (P > 0.05). The MoCA scores of the group with cognitive impairment were significantly lower than those of the group with normal cognitive function and the control group (P < 0.05). There was a significant difference between the control group and the group with normal cognitive function (P < 0.05). The non-HDL-C and Hcy levels were correlated with the MoCA score (P < 0.05), cognitive impairment [areas under the curve (AUC) = 0.709, 95% confidence interval (95%CI): 0.599-0.816], the non-HDL-C level, and could predict cognitive impairment in patients with thalamic infarction (AUC = 0.738, 95%CI: 0.618-0.859). Hcy combined with non-HDL-C levels can predict cognitive impairment in patients with thalamic infarction (AUC = 0.769, 95%CI: 0.721-0.895).There were 50 patients in the good prognosis group and 30 patients in the poor prognosis group. Compared with the good prognosis group, in the poor prognosis group, the National Institutes of Health Stroke Scale (NIHSS) score, non-HDL-C level, Hcy level, large-area cerebral infarction, atrial fibrillation, and activated partial prothrombin time were statistically significant (P < 0.05). The non-HDL-C level, the Hcy level, the NIHSS score, extensive cerebral serum, and atrial fibrillation may all be independent risk factors for poor prognosis in patients with thalamic infarction (P < 0.05). CONCLUSION Non-HDL-C and Hcy levels are positively correlated with cognitive impairment in patients with thalamic infarction. Non-HDL-C and Hcy levels can be used in the diagnosis of cognitive impairment in patients with thalamic infarction, and the combined detection effect is better. The main factors affecting the prognosis of patients with thalamic infarction are the non-HDL-C level, the Hcy level, the NIHSS score, large-area cerebral infarction, and atrial fibrillation. Clinically, corresponding preventive measures can be formulated based on the above factors to prevent poor prognosis and reduce mortality.
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Affiliation(s)
- Shan-Yao Zhu
- Department of Internal Medicine-Neurology, Chaohu Hospital Affiliated to Anhui Medical University, Hefei 238000, Anhui Province, China
| | - Wei Ge
- Department of Internal Medicine-Neurology, Chaohu Hospital Affiliated to Anhui Medical University, Hefei 238000, Anhui Province, China
| | - Huan Zhang
- Department of Internal Medicine-Neurology, Chaohu Hospital Affiliated to Anhui Medical University, Hefei 238000, Anhui Province, China
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9
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Hu S, Huang X, Huang J, Qian Y, Tian Y, Xiao Y, Qi X, Zhou X, Yang Z, Chen Z. Iron chelation prevents nigrostriatal neurodegeneration in a chronic methamphetamine mice model. Neurotoxicology 2023; 99:24-33. [PMID: 37717738 DOI: 10.1016/j.neuro.2023.09.006] [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: 04/24/2023] [Revised: 08/31/2023] [Accepted: 09/12/2023] [Indexed: 09/19/2023]
Abstract
Methamphetamine (METH) has been established to selectively target and impair dopaminergic neurons through multiple pathways. Ferroptosis is a unique form of non-apoptotic cell death driven by cellular iron accumulation-induced lipid peroxidation. Nonetheless, it remains unclear whether METH can induce ferroptosis. In the present study, we sought to assess alterations in iron levels after chronic METH exposure and reveal the modulatory role of iron on METH-induced pathologies. Importantly, we demonstrated that METH increased iron deposition in the nigrostriatal system, including the substantia nigra (SN) and caudate putamen (CPu). Moreover, decreases in GPx4 levels, increases in lipid peroxidation products, and pathological alterations were observed in the nigrostriatal system as a consequence of chronic METH exposure. The iron chelator deferiprone not only alleviated nigrostriatal iron deposition, dopaminergic cell death, and lipid peroxidation, but alsoattenuated the decreases in GPx4 induced by METH. These findings suggest an alleviation of ferroptosis in dopaminergic neurons. In addition, we found that the ferroptosis inhibitor liproxstatin-1 attenuated METH-induced dopaminergic degeneration in the nigrostriatal system. Our findings corroborated that METH might induce dopaminergic neurodegeneration through iron-dependent ferroptosis. Interestingly, reducing iron levels or inhibiting ferroptosis may alleviate METH-induced dopaminergic neurodegeneration.
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Affiliation(s)
- Shanshan Hu
- Good Clinical Practice Center, Affiliated Hospital of Zunyi Medical University, Zunyi 563000, China
| | - Xiaorong Huang
- Good Clinical Practice Center, Affiliated Hospital of Zunyi Medical University, Zunyi 563000, China
| | - Jian Huang
- School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China; NHC Key Laboratory of Drug Addiction Medicine,Department of Forensic Medicine, School of Forensic Medicine, Kunming Medical University, Kunming 650500, China
| | - Ying Qian
- Department of Pharmacy, Affiliated Hospital of Zunyi Medical University, Zunyi 563000, China
| | - Yingbiao Tian
- Department of Pharmacy, The Second Affiliated Hospital of Zunyi Medical University, Zunyi 563003, China
| | - Ye Xiao
- Good Clinical Practice Center, Affiliated Hospital of Zunyi Medical University, Zunyi 563000, China
| | - Xiaolan Qi
- Key Laboratory of Endemic and Ethnic Diseases, Ministry of Education, Guizhou Medical University, Guiyang 550004, China
| | - Xiaoxian Zhou
- Department of Laboratory Medicine, Affiliated Hospital of Zunyi Medical University, Zunyi 563003, China
| | - Zhusheng Yang
- School of Materials and Architectural Engineering, Guizhou Normal University, Guiyang 550025, China.
| | - Zehui Chen
- Department of Laboratory Medicine, Affiliated Hospital of Zunyi Medical University, Zunyi 563003, China.
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10
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Lewkowicz E, Nakamura MN, Rynkiewicz MJ, Gursky O. Molecular modeling of apoE in complexes with Alzheimer's amyloid-β fibrils from human brain suggests a structural basis for apolipoprotein co-deposition with amyloids. Cell Mol Life Sci 2023; 80:376. [PMID: 38010414 PMCID: PMC11061799 DOI: 10.1007/s00018-023-05026-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 10/06/2023] [Accepted: 10/30/2023] [Indexed: 11/29/2023]
Abstract
Apolipoproteins co-deposit with amyloids, yet apolipoprotein-amyloid interactions are enigmatic. To understand how apoE interacts with Alzheimer's amyloid-β (Aβ) peptide in fibrillary deposits, the NMR structure of full-length human apoE was docked to four structures of patient-derived Aβ1-40 and Aβ1-42 fibrils determined previously using cryo-electron microscopy or solid-state NMR. Similar docking was done using the NMR structure of human apoC-III. In all complexes, conformational changes in apolipoproteins were required to expose large hydrophobic faces of their amphipathic α-helices for sub-stoichiometric binding to hydrophobic surfaces on sides or ends of fibrils. Basic residues flanking the hydrophobic helical faces in apolipoproteins interacted favorably with acidic residue ladders in some amyloid polymorphs. Molecular dynamics simulations of selected apoE-fibril complexes confirmed their stability. Amyloid binding via cryptic sites, which became available upon opening of flexibly linked apolipoprotein α-helices, resembled apolipoprotein-lipid binding. This mechanism probably extends to other apolipoprotein-amyloid interactions. Apolipoprotein binding alongside fibrils could interfere with fibril fragmentation and secondary nucleation, while binding at the fibril ends could halt amyloid elongation and dissolution in a polymorph-specific manner. The proposed mechanism is supported by extensive prior experimental evidence and helps reconcile disparate reports on apoE's role in Aβ aggregation. Furthermore, apoE domain opening and direct interaction of Arg/Cys158 with amyloid potentially contributes to isoform-specific effects in Alzheimer's disease. In summary, current modeling supported by prior experimental studies suggests similar mechanisms for apolipoprotein-amyloid and apolipoprotein-lipid interactions; explains why apolipoproteins co-deposit with amyloids; and helps reconcile conflicting reports on the chaperone-like apoE action in Aβ aggregation.
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Affiliation(s)
- Emily Lewkowicz
- Department of Pharmacology, Physiology & Biophysics, Boston University Chobanian and Avedisian School of Medicine, W302, 700 Albany Street, Boston, MA, 02118, USA
| | - Mari N Nakamura
- Undergraduate program, Department of Chemistry and Biochemistry, Middlebury College, 14 Old Chapel Rd, Middlebury, VT, 05753, USA
| | - Michael J Rynkiewicz
- Department of Pharmacology, Physiology & Biophysics, Boston University Chobanian and Avedisian School of Medicine, W302, 700 Albany Street, Boston, MA, 02118, USA
| | - Olga Gursky
- Department of Pharmacology, Physiology & Biophysics, Boston University Chobanian and Avedisian School of Medicine, W302, 700 Albany Street, Boston, MA, 02118, USA.
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11
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Cáceres C, Heusser B, Garnham A, Moczko E. The Major Hypotheses of Alzheimer's Disease: Related Nanotechnology-Based Approaches for Its Diagnosis and Treatment. Cells 2023; 12:2669. [PMID: 38067098 PMCID: PMC10705786 DOI: 10.3390/cells12232669] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 08/25/2023] [Accepted: 09/19/2023] [Indexed: 12/18/2023] Open
Abstract
Alzheimer's disease (AD) is a well-known chronic neurodegenerative disorder that leads to the progressive death of brain cells, resulting in memory loss and the loss of other critical body functions. In March 2019, one of the major pharmaceutical companies and its partners announced that currently, there is no drug to cure AD, and all clinical trials of the new ones have been cancelled, leaving many people without hope. However, despite the clear message and startling reality, the research continued. Finally, in the last two years, the Food and Drug Administration (FDA) approved the first-ever medications to treat Alzheimer's, aducanumab and lecanemab. Despite researchers' support of this decision, there are serious concerns about their effectiveness and safety. The validation of aducanumab by the Centers for Medicare and Medicaid Services is still pending, and lecanemab was authorized without considering data from the phase III trials. Furthermore, numerous reports suggest that patients have died when undergoing extended treatment. While there is evidence that aducanumab and lecanemab may provide some relief to those suffering from AD, their impact remains a topic of ongoing research and debate within the medical community. The fact is that even though there are considerable efforts regarding pharmacological treatment, no definitive cure for AD has been found yet. Nevertheless, it is strongly believed that modern nanotechnology holds promising solutions and effective clinical strategies for the development of diagnostic tools and treatments for AD. This review summarizes the major hallmarks of AD, its etiological mechanisms, and challenges. It explores existing diagnostic and therapeutic methods and the potential of nanotechnology-based approaches for recognizing and monitoring patients at risk of irreversible neuronal degeneration. Overall, it provides a broad overview for those interested in the evolving areas of clinical neuroscience, AD, and related nanotechnology. With further research and development, nanotechnology-based approaches may offer new solutions and hope for millions of people affected by this devastating disease.
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Affiliation(s)
| | | | | | - Ewa Moczko
- Facultad de Ingeniería y Ciencias, Universidad Adolfo Ibáñez, Viña del Mar 2562307, Chile; (C.C.)
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12
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Soler-Blasco R, Llop S, Riutort-Mayol G, Lozano M, Vallejo-Ortega J, Murcia M, Ballester F, Irizar A, Andiarena A, Fernandez-Jimenez N, Braeuer S, Harari F. Genetic Susceptibility to Neurotoxicity Related to Prenatal Inorganic Arsenic Exposure in Young Spanish Children. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:15366-15378. [PMID: 37787746 DOI: 10.1021/acs.est.3c03336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
We explored the influence of child and maternal single nucleotide polymorphisms (SNPs) in genes related to neurological function and arsenic metabolism (i.e., ABCA1, ABCB1, PON1, CYP3A, BDNF, GSTP1, MT2A, and APOE as well as AS3MT) on the association between prenatal arsenic (As) exposure and methylation efficiency and neuropsychological development in 4-5-year-old children. Participants were 549 mother-child pairs from the INMA (Environment and Childhood) Spanish Project. We measured inorganic arsenic (iAs) and the metabolites monomethylarsonic acid (MMA) and dimethylarsinic acid (DMA) in urine samples collected during pregnancy. Neuropsychological development was assessed at the age of 4-5 years using the McCarthy Scales of Children's Abilities (MSCA). Several SNPs were determined in maternal and child DNA; AS3MT and APOE haplotypes were inferred. The median ∑As (sum of iAs, DMA, and MMA) was 7.08 μg/g creatinine. Statistically significant interactions for children's APOE haplotype were observed. Specifically, ε4-carrier children had consistently lower MSCA scores in several scales with increasing ∑As and MMA concentrations. These results provide evidence regarding the neurotoxic effects of early life exposure to As, observing that the APOE ε4 allele could make children more vulnerable to this exposure.
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Affiliation(s)
- Raquel Soler-Blasco
- Department of Nursing, Universitat de València, 46010 Valencia, Spain
- Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, 46020 Valencia, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain
| | - Sabrina Llop
- Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, 46020 Valencia, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain
| | - Gabriel Riutort-Mayol
- Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO-Public Health, 46020 Valencia, Spain
| | - Manuel Lozano
- Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, 46020 Valencia, Spain
- Preventive Medicine and Public Health, Food Sciences, Toxicology and Forensic Medicine Department, Universitat de València, 46010 Valencia, Spain
| | - Jorge Vallejo-Ortega
- Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO-Public Health, 46020 Valencia, Spain
| | - Mario Murcia
- Health Policy Planning and Evaluation Service, Conselleria de Sanitat Universal i Salut Pública, Generalitat Valenciana, 46010 Valencia, Spain
| | - Ferran Ballester
- Department of Nursing, Universitat de València, 46010 Valencia, Spain
- Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, 46020 Valencia, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain
| | - Amaia Irizar
- Biodonostia Health Research Institute, 20014 San Sebastian, Spain
- Department of Preventive Medicine and Public Health of the University of the Basque Country, UPV/EHU, 48940 Leioa, Spain
| | - Ainara Andiarena
- Biodonostia Health Research Institute, 20014 San Sebastian, Spain
- Faculty of Psychology, University of the Basque Country, UPV/EHU, 20018 San Sebastian, Spain
| | - Nora Fernandez-Jimenez
- Department of Genetics, Physical Anthropology and Animal Physiology, Biocruces-Bizkaia Health Research Institute and University of the Basque Country (UPV/EHU), 48903 Leioa, Spain
| | - Simone Braeuer
- Institute of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Strasse 38, Vienna 1090, Austria
- Institute of Chemistry, University of Graz, 8010 Graz, Austria
| | - Florencia Harari
- Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg and Sahlgrenska University Hospital, 40530 Gothenburg, Sweden
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13
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Moos WH, Faller DV, Glavas IP, Kanara I, Kodukula K, Pernokas J, Pernokas M, Pinkert CA, Powers WR, Sampani K, Steliou K, Vavvas DG. Epilepsy: Mitochondrial connections to the 'Sacred' disease. Mitochondrion 2023; 72:84-101. [PMID: 37582467 DOI: 10.1016/j.mito.2023.08.002] [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: 06/01/2023] [Revised: 08/03/2023] [Accepted: 08/12/2023] [Indexed: 08/17/2023]
Abstract
Over 65 million people suffer from recurrent, unprovoked seizures. The lack of validated biomarkers specific for myriad forms of epilepsy makes diagnosis challenging. Diagnosis and monitoring of childhood epilepsy add to the need for non-invasive biomarkers, especially when evaluating antiseizure medications. Although underlying mechanisms of epileptogenesis are not fully understood, evidence for mitochondrial involvement is substantial. Seizures affect 35%-60% of patients diagnosed with mitochondrial diseases. Mitochondrial dysfunction is pathophysiological in various epilepsies, including those of non-mitochondrial origin. Decreased ATP production caused by malfunctioning brain cell mitochondria leads to altered neuronal bioenergetics, metabolism and neurological complications, including seizures. Iron-dependent lipid peroxidation initiates ferroptosis, a cell death pathway that aligns with altered mitochondrial bioenergetics, metabolism and morphology found in neurodegenerative diseases (NDDs). Studies in mouse genetic models with seizure phenotypes where the function of an essential selenoprotein (GPX4) is targeted suggest roles for ferroptosis in epilepsy. GPX4 is pivotal in NDDs, where selenium protects interneurons from ferroptosis. Selenium is an essential central nervous system micronutrient and trace element. Low serum concentrations of selenium and other trace elements and minerals, including iron, are noted in diagnosing childhood epilepsy. Selenium supplements alleviate intractable seizures in children with reduced GPX activity. Copper and cuproptosis, like iron and ferroptosis, link to mitochondria and NDDs. Connecting these mechanistic pathways to selenoproteins provides new insights into treating seizures, pointing to using medicines including prodrugs of lipoic acid to treat epilepsy and to potential alternative therapeutic approaches including transcranial magnetic stimulation (transcranial), photobiomodulation and vagus nerve stimulation.
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Affiliation(s)
- Walter H Moos
- Department of Pharmaceutical Chemistry, School of Pharmacy, University of California San Francisco, San Francisco, CA, USA.
| | - Douglas V Faller
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA; Cancer Research Center, Boston University School of Medicine, Boston, MA, USA
| | - Ioannis P Glavas
- Department of Ophthalmology, New York University School of Medicine, New York, NY, USA
| | | | | | - Julie Pernokas
- Advanced Dental Associates of New England, Woburn, MA, USA
| | - Mark Pernokas
- Advanced Dental Associates of New England, Woburn, MA, USA
| | - Carl A Pinkert
- Department of Pathobiology, College of Veterinary Medicine, Auburn University, Auburn, AL, USA
| | - Whitney R Powers
- Department of Health Sciences, Boston University, Boston, MA, USA; Department of Anatomy, Boston University School of Medicine, Boston, MA, USA
| | - Konstantina Sampani
- Beetham Eye Institute, Joslin Diabetes Center, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Kosta Steliou
- Cancer Research Center, Boston University School of Medicine, Boston, MA, USA; PhenoMatriX, Inc., Natick, MA, USA
| | - Demetrios G Vavvas
- Department of Ophthalmology, Harvard Medical School, Boston, MA, USA; Retina Service, Angiogenesis Laboratory, Massachusetts Eye and Ear Infirmary, Boston, MA, USA
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14
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Berntsson E, Vosough F, Noormägi A, Padari K, Asplund F, Gielnik M, Paul S, Jarvet J, Tõugu V, Roos PM, Kozak M, Gräslund A, Barth A, Pooga M, Palumaa P, Wärmländer SKTS. Characterization of Uranyl (UO 22+) Ion Binding to Amyloid Beta (Aβ) Peptides: Effects on Aβ Structure and Aggregation. ACS Chem Neurosci 2023; 14:2618-2633. [PMID: 37487115 PMCID: PMC10401651 DOI: 10.1021/acschemneuro.3c00130] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 07/06/2023] [Indexed: 07/26/2023] Open
Abstract
Uranium (U) is naturally present in ambient air, water, and soil, and depleted uranium (DU) is released into the environment via industrial and military activities. While the radiological damage from U is rather well understood, less is known about the chemical damage mechanisms, which dominate in DU. Heavy metal exposure is associated with numerous health conditions, including Alzheimer's disease (AD), the most prevalent age-related cause of dementia. The pathological hallmark of AD is the deposition of amyloid plaques, consisting mainly of amyloid-β (Aβ) peptides aggregated into amyloid fibrils in the brain. However, the toxic species in AD are likely oligomeric Aβ aggregates. Exposure to heavy metals such as Cd, Hg, Mn, and Pb is known to increase Aβ production, and these metals bind to Aβ peptides and modulate their aggregation. The possible effects of U in AD pathology have been sparsely studied. Here, we use biophysical techniques to study in vitro interactions between Aβ peptides and uranyl ions, UO22+, of DU. We show for the first time that uranyl ions bind to Aβ peptides with affinities in the micromolar range, induce structural changes in Aβ monomers and oligomers, and inhibit Aβ fibrillization. This suggests a possible link between AD and U exposure, which could be further explored by cell, animal, and epidemiological studies. General toxic mechanisms of uranyl ions could be modulation of protein folding, misfolding, and aggregation.
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Affiliation(s)
- Elina Berntsson
- Chemistry
Section, Arrhenius Laboratories, Stockholm
University, 106 91 Stockholm, Sweden
- Department
of Chemistry and Biotechnology, Tallinn
University of Technology, 19086 Tallinn, Estonia
| | - Faraz Vosough
- Chemistry
Section, Arrhenius Laboratories, Stockholm
University, 106 91 Stockholm, Sweden
| | - Andra Noormägi
- Department
of Chemistry and Biotechnology, Tallinn
University of Technology, 19086 Tallinn, Estonia
| | - Kärt Padari
- Institute
of Molecular and Cell Biology, University
of Tartu, 50090 Tartu, Estonia
| | - Fanny Asplund
- Chemistry
Section, Arrhenius Laboratories, Stockholm
University, 106 91 Stockholm, Sweden
| | - Maciej Gielnik
- Department
of Molecular Biology and Genetics, Aarhus
University, 8000 Aarhus, Denmark
| | - Suman Paul
- Chemistry
Section, Arrhenius Laboratories, Stockholm
University, 106 91 Stockholm, Sweden
| | - Jüri Jarvet
- Chemistry
Section, Arrhenius Laboratories, Stockholm
University, 106 91 Stockholm, Sweden
- CellPept
Sweden AB, Kvarngatan
10B, 118 47 Stockholm, Sweden
| | - Vello Tõugu
- Department
of Chemistry and Biotechnology, Tallinn
University of Technology, 19086 Tallinn, Estonia
| | - Per M. Roos
- Institute
of Environmental Medicine, Karolinska Institutet, 171 77 Stockholm, Sweden
- University
Healthcare Unit of Capio St. Göran Hospital, 112 81 Stockholm, Sweden
| | - Maciej Kozak
- Department
of Biomedical Physics, Institute of Physics, Faculty of Physics, Adam Mickiewicz University, 61-712 Poznań, Poland
- SOLARIS
National Synchrotron Radiation Centre, Jagiellonian
University, 31-007 Kraków, Poland
| | - Astrid Gräslund
- Chemistry
Section, Arrhenius Laboratories, Stockholm
University, 106 91 Stockholm, Sweden
- CellPept
Sweden AB, Kvarngatan
10B, 118 47 Stockholm, Sweden
| | - Andreas Barth
- Chemistry
Section, Arrhenius Laboratories, Stockholm
University, 106 91 Stockholm, Sweden
| | - Margus Pooga
- Institute
of Technology, University of Tartu, 50090 Tartu, Estonia
| | - Peep Palumaa
- Department
of Chemistry and Biotechnology, Tallinn
University of Technology, 19086 Tallinn, Estonia
| | - Sebastian K. T. S. Wärmländer
- Chemistry
Section, Arrhenius Laboratories, Stockholm
University, 106 91 Stockholm, Sweden
- CellPept
Sweden AB, Kvarngatan
10B, 118 47 Stockholm, Sweden
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15
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Ma J, Guo Q, Shen MQ, Li W, Zhong QX, Qian ZM. Apolipoprotein E is required for brain iron homeostasis in mice. Redox Biol 2023; 64:102779. [PMID: 37339558 PMCID: PMC10363452 DOI: 10.1016/j.redox.2023.102779] [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: 05/30/2023] [Accepted: 06/08/2023] [Indexed: 06/21/2023] Open
Abstract
BACKGROUND Apolipoprotein E deficiency (ApoE-/-) increases progressively iron in the liver, spleen and aortic tissues with age in mice. However, it is unknown whether ApoE affects brain iron. METHODS We investigated iron contents, expression of transferrin receptor 1 (TfR1), ferroportin 1 (Fpn1), iron regulatory proteins (IRPs), aconitase, hepcidin, Aβ42, MAP2, reactive oxygen species (ROS), cytokines and glutathione peroxidase 4 (Gpx4) in the brain of ApoE-/- mice. RESULTS We demonstrated that ApoE-/- induced a significant increase in iron, TfR1 and IRPs and a reduction in Fpn1, aconitase and hepcidin in the hippocampus and basal ganglia. We also showed that replenishment of ApoE absent partly reversed the iron-related phenotype in ApoE-/- mice at 24-months old. In addition, ApoE-/- induced a significant increase in Aβ42, MDA, 8-isoprostane, IL-1β, IL-6, and TNFα and a reduction in MAP2 and Gpx4 in hippocampus, basal ganglia and/or cortex of mice at 24-months old. CONCLUSIONS Our findings implied that ApoE is required for brain iron homeostasis and ApoE-/--induced increase in brain iron is due to the increased IRP/TfR1-mediated cell-iron uptake as well as the reduced IRP/Fpn1 associated cell-iron export and suggested that ApoE-/- induced neuronal injury resulted mainly from the increased iron and subsequently ROS, inflammation and ferroptosis.
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Affiliation(s)
- Juan Ma
- Department of Neurology, Affiliated Hospital, and Institute of Translational and Precision Medicine, Nantong University, 19 Qi Xiu Road, Nantong, Jiangsu, 226001, China; Laboratory of Neuropharmacology of Pharmacy School, and National Clinical Research Center for Aging and Medicine of Huashan Hospital, Fudan University, Shanghai, 201203, China.
| | - Qian Guo
- Institute of Geriatrics (Shanghai University), Affiliated Nantong Hospital of Shanghai University (The Sixth People's Hospital of Nantong), School of Medicine, Shanghai University, 881 Yonghe Road, Nantong, Jiangsu, 226001, China; Shanghai Engineering Research Center of Organ Repair, School of Medicine, Shanghai University, 99 Shangda Road, Shanghai, 200444, China.
| | - Meng-Qi Shen
- Department of Neurology, Affiliated Hospital, and Institute of Translational and Precision Medicine, Nantong University, 19 Qi Xiu Road, Nantong, Jiangsu, 226001, China.
| | - Wei Li
- Department of Neurology, Affiliated Hospital, and Institute of Translational and Precision Medicine, Nantong University, 19 Qi Xiu Road, Nantong, Jiangsu, 226001, China.
| | - Qi-Xin Zhong
- Department of Cardiovascular Medicine, Shenzhen Hospital, Guangzhou University of Chinese Medicine, Shenzhen, 518034, China.
| | - Zhong-Ming Qian
- Department of Neurology, Affiliated Hospital, and Institute of Translational and Precision Medicine, Nantong University, 19 Qi Xiu Road, Nantong, Jiangsu, 226001, China.
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Li K, Li A, Mei Y, Zhao J, Zhou Q, Li Y, Yang M, Xu Q. Trace elements and Alzheimer dementia in population-based studies: A bibliometric and meta-analysis. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 318:120782. [PMID: 36464120 DOI: 10.1016/j.envpol.2022.120782] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 11/05/2022] [Accepted: 11/27/2022] [Indexed: 06/17/2023]
Abstract
Alterations in the concentrations of trace elements may play a vital role in Alzheimer dementia progression. However, previous research results are inconsistent, and there is still a lack of review on the relationship between all the studied-trace elements and AD from various perspectives of population-based studies. In this study, we systematically reviewed previous population-based studies and identified the altered trace elements in AD patients. We searched the Web of Science Core Collection, PubMed, and Scopus database, and ultimately included 73 articles. A bibliometric analysis was conducted to explore the evolution of the field from an epidemiological perspective. Bibliometric data such as trace elements, biological materials, detection methods, cognitive tests, co-occurrence and co-citation statistics are all analyzed and presented in a quantitative manner. The 73 included studies analyzed 39 trace elements in total. In a further meta-analysis, standardized mean differences (SMDs) of 13 elements were calculated to evaluate their altered in AD patients, including copper, iron, zinc, selenium, manganese, lead, aluminum, cadmium, chromium, arsenic, mercury, cobalt, and manganese. We identified four trace elements-copper (serum), iron (plasma), zinc (hair), and selenium (plasma)-altered in AD patients, with SMDs of 0.37 (95% confidence interval [CI]: 0.10, 0.65), -0.68 (95% CI: -1.34, -0.02), -0.35 (95% CI: -0.62, -0.08), and -0.61 (95% CI: -0.97, -0.25), respectively. Finally, we formed a database of various trace element levels in AD patients and healthy controls. Our study can help future researchers gain a comprehensive understanding of the advancements in the field, and our results provide comprehensive population-based data for future research.
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Affiliation(s)
- Kai Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Ang Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Yayuan Mei
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Jiaxin Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Quan Zhou
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Yanbing Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Ming Yang
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Qun Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China.
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