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Kim JM, Kim WR, Park EG, Lee DH, Lee YJ, Shin HJ, Jeong HS, Roh HY, Kim HS. Exploring the Regulatory Landscape of Dementia: Insights from Non-Coding RNAs. Int J Mol Sci 2024; 25:6190. [PMID: 38892378 PMCID: PMC11172830 DOI: 10.3390/ijms25116190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Revised: 05/24/2024] [Accepted: 06/03/2024] [Indexed: 06/21/2024] Open
Abstract
Dementia, a multifaceted neurological syndrome characterized by cognitive decline, poses significant challenges to daily functioning. The main causes of dementia, including Alzheimer's disease (AD), frontotemporal dementia (FTD), Lewy body dementia (LBD), and vascular dementia (VD), have different symptoms and etiologies. Genetic regulators, specifically non-coding RNAs (ncRNAs) such as microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs), are known to play important roles in dementia pathogenesis. MiRNAs, small non-coding RNAs, regulate gene expression by binding to the 3' untranslated regions of target messenger RNAs (mRNAs), while lncRNAs and circRNAs act as molecular sponges for miRNAs, thereby regulating gene expression. The emerging concept of competing endogenous RNA (ceRNA) interactions, involving lncRNAs and circRNAs as competitors for miRNA binding, has gained attention as potential biomarkers and therapeutic targets in dementia-related disorders. This review explores the regulatory roles of ncRNAs, particularly miRNAs, and the intricate dynamics of ceRNA interactions, providing insights into dementia pathogenesis and potential therapeutic avenues.
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Affiliation(s)
- Jung-min Kim
- Department of Integrated Biological Sciences, Pusan National University, Busan 46241, Republic of Korea; (J.-m.K.); (W.R.K.); (E.G.P.); (D.H.L.); (Y.J.L.); (H.J.S.); (H.-s.J.)
- Institute of Systems Biology, Pusan National University, Busan 46241, Republic of Korea;
| | - Woo Ryung Kim
- Department of Integrated Biological Sciences, Pusan National University, Busan 46241, Republic of Korea; (J.-m.K.); (W.R.K.); (E.G.P.); (D.H.L.); (Y.J.L.); (H.J.S.); (H.-s.J.)
- Institute of Systems Biology, Pusan National University, Busan 46241, Republic of Korea;
| | - Eun Gyung Park
- Department of Integrated Biological Sciences, Pusan National University, Busan 46241, Republic of Korea; (J.-m.K.); (W.R.K.); (E.G.P.); (D.H.L.); (Y.J.L.); (H.J.S.); (H.-s.J.)
- Institute of Systems Biology, Pusan National University, Busan 46241, Republic of Korea;
| | - Du Hyeong Lee
- Department of Integrated Biological Sciences, Pusan National University, Busan 46241, Republic of Korea; (J.-m.K.); (W.R.K.); (E.G.P.); (D.H.L.); (Y.J.L.); (H.J.S.); (H.-s.J.)
- Institute of Systems Biology, Pusan National University, Busan 46241, Republic of Korea;
| | - Yun Ju Lee
- Department of Integrated Biological Sciences, Pusan National University, Busan 46241, Republic of Korea; (J.-m.K.); (W.R.K.); (E.G.P.); (D.H.L.); (Y.J.L.); (H.J.S.); (H.-s.J.)
- Institute of Systems Biology, Pusan National University, Busan 46241, Republic of Korea;
| | - Hae Jin Shin
- Department of Integrated Biological Sciences, Pusan National University, Busan 46241, Republic of Korea; (J.-m.K.); (W.R.K.); (E.G.P.); (D.H.L.); (Y.J.L.); (H.J.S.); (H.-s.J.)
- Institute of Systems Biology, Pusan National University, Busan 46241, Republic of Korea;
| | - Hyeon-su Jeong
- Department of Integrated Biological Sciences, Pusan National University, Busan 46241, Republic of Korea; (J.-m.K.); (W.R.K.); (E.G.P.); (D.H.L.); (Y.J.L.); (H.J.S.); (H.-s.J.)
- Institute of Systems Biology, Pusan National University, Busan 46241, Republic of Korea;
| | - Hyun-Young Roh
- Institute of Systems Biology, Pusan National University, Busan 46241, Republic of Korea;
- Department of Biological Sciences, College of Natural Sciences, Pusan National University, Busan 46241, Republic of Korea
| | - Heui-Soo Kim
- Institute of Systems Biology, Pusan National University, Busan 46241, Republic of Korea;
- Department of Biological Sciences, College of Natural Sciences, Pusan National University, Busan 46241, Republic of Korea
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Chatziefstathiou A, Canaslan S, Kanata E, Vekrellis K, Constantinides VC, Paraskevas GP, Kapaki E, Schmitz M, Zerr I, Xanthopoulos K, Sklaviadis T, Dafou D. SIMOA Diagnostics on Alzheimer's Disease and Frontotemporal Dementia. Biomedicines 2024; 12:1253. [PMID: 38927460 PMCID: PMC11201638 DOI: 10.3390/biomedicines12061253] [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: 04/29/2024] [Revised: 05/27/2024] [Accepted: 05/31/2024] [Indexed: 06/28/2024] Open
Abstract
BACKGROUND Accurate diagnosis of Alzheimer's disease (AD) and frontotemporal dementia (FTD) represents a health issue due to the absence of disease traits. We assessed the performance of a SIMOA panel in cerebrospinal fluid (CSF) from 43 AD and 33 FTD patients with 60 matching Control subjects in combination with demographic-clinical characteristics. METHODS 136 subjects (AD: n = 43, FTD: n = 33, Controls: n = 60) participated. Single-molecule array (SIMOA), glial fibrillary acidic protein (GFAP), neurofilament light (NfL), TAU, and ubiquitin carboxy-terminal hydrolase L1 (UCH-L1) in CSF were analyzed with a multiplex neuro 4plex kit. Receiver operating characteristic (ROC) curve analysis compared area under the curve (AUC), while the principal of the sparse partial least squares discriminant analysis (sPLS-DA) was used with the intent to strengthen the identification of confident disease clusters. RESULTS CSF exhibited increased levels of all SIMOA biomarkers in AD compared to Controls (AUCs: 0.71, 0.86, 0.92, and 0.94, respectively). Similar patterns were observed in FTD with NfL, TAU, and UCH-L1 (AUCs: 0.85, 0.72, and 0.91). sPLS-DA revealed two components explaining 19% and 9% of dataset variation. CONCLUSIONS CSF data provide high diagnostic accuracy among AD, FTD, and Control discrimination. Subgroups of demographic-clinical characteristics and biomarker concentration highlighted the potential of combining different kinds of data for successful and more efficient cohort clustering.
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Affiliation(s)
- Athanasia Chatziefstathiou
- Department of Genetics, Development, and Molecular Biology, School of Biology, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece;
| | - Sezgi Canaslan
- Department of Neurology, German Center for Neurodegenerative Diseases (DZNE), University Medicine Göttingen, 37075 Göttingen, Germany; (S.C.); (M.S.); (I.Z.)
| | - Eirini Kanata
- Neurodegenerative Diseases Research Group, Department of Pharmacy, School of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece; (E.K.); (K.X.); (T.S.)
| | - Kostas Vekrellis
- Center of Basic Research, Biomedical Research Foundation of the Academy of Athens, 11527 Athens, Greece;
| | - Vasilios C. Constantinides
- Neurochemistry and Biological Markers Unit, First Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, Eginition Hospital, 11528 Athens, Greece; (V.C.C.); (E.K.)
| | - George P. Paraskevas
- Second Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, “Attikon” University General Hospital, 12462 Athens, Greece;
| | - Elisabeth Kapaki
- Neurochemistry and Biological Markers Unit, First Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, Eginition Hospital, 11528 Athens, Greece; (V.C.C.); (E.K.)
| | - Matthias Schmitz
- Department of Neurology, German Center for Neurodegenerative Diseases (DZNE), University Medicine Göttingen, 37075 Göttingen, Germany; (S.C.); (M.S.); (I.Z.)
| | - Inga Zerr
- Department of Neurology, German Center for Neurodegenerative Diseases (DZNE), University Medicine Göttingen, 37075 Göttingen, Germany; (S.C.); (M.S.); (I.Z.)
| | - Konstantinos Xanthopoulos
- Neurodegenerative Diseases Research Group, Department of Pharmacy, School of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece; (E.K.); (K.X.); (T.S.)
| | - Theodoros Sklaviadis
- Neurodegenerative Diseases Research Group, Department of Pharmacy, School of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece; (E.K.); (K.X.); (T.S.)
| | - Dimitra Dafou
- Department of Genetics, Development, and Molecular Biology, School of Biology, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece;
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Cheng YW, Lin YJ, Lin YS, Hong WP, Kuan YC, Wu KY, Hsu JL, Wang PN, Pai MC, Chen CS, Fuh JL, Hu CJ, Chiu MJ. Application of blood-based biomarkers of Alzheimer's disease in clinical practice: Recommendations from Taiwan Dementia Society. J Formos Med Assoc 2024:S0929-6646(24)00051-2. [PMID: 38296698 DOI: 10.1016/j.jfma.2024.01.018] [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: 05/11/2023] [Revised: 11/29/2023] [Accepted: 01/14/2024] [Indexed: 02/02/2024] Open
Abstract
Blood-based biomarkers (BBM) are potentially powerful tools that assist in the biological diagnosis of Alzheimer's disease (AD) in vivo with minimal invasiveness, relatively low cost, and good accessibility. This review summarizes current evidence for using BBMs in AD, focusing on amyloid, tau, and biomarkers for neurodegeneration. Blood-based phosphorylated tau and the Aβ42/Aβ40 ratio showed consistent concordance with brain pathology measured by CSF or PET in the research setting. In addition, glial fibrillary acidic protein (GFAP) and neurofilament light chain (NfL) are neurodegenerative biomarkers that show the potential to assist in the differential diagnosis of AD. Other pathology-specific biomarkers, such as α-synuclein and TAR DNA-binding protein 43 (TDP-43), can potentially detect AD concurrent pathology. Based on current evidence, the working group from the Taiwan Dementia Society (TDS) achieved consensus recommendations on the appropriate use of BBMs for AD in clinical practice. BBMs may assist clinical diagnosis and prognosis in AD subjects with cognitive symptoms; however, the results should be interpreted by dementia specialists and combining biochemical, neuropsychological, and neuroimaging information. Further studies are needed to evaluate BBMs' real-world performance and potential impact on clinical decision-making.
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Affiliation(s)
- Yu-Wen Cheng
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
| | - Yen-Ju Lin
- Department of Psychiatry, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Yung-Shuan Lin
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan; School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan; Brain Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Wei-Pin Hong
- Department of Neurology, National Cheng Kung University Hospital, Tainan, Taiwan
| | - Yi-Chun Kuan
- Taipei Neuroscience Institute, Taipei Medical University, Taipei, Taiwan; Department of Neurology and Dementia Center, Taipei Medical University-Shuang Ho Hospital, New Taipei City, Taiwan; Department of Neurology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Kuan-Yi Wu
- Department of Psychiatry, Chang Gung Memorial Hospital and College of Medicine, Chang Gung University, Tao-Yuan, Taiwan
| | - Jung-Lung Hsu
- Department of Neurology, New Taipei Municipal TuCheng Hospital, Chang Gung Memorial Hospital and Chang Gung University, New Taipei City, Taiwan; Graduate Institute of Mind, Brain, & Consciousness, Taipei Medical University, Taipei, Taiwan; Brain & Consciousness Research Center, Shuang Ho Hospital, New Taipei City, Taiwan
| | - Pei-Ning Wang
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan; School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Ming-Chyi Pai
- Division of Behavioral Neurology, Department of Neurology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Alzheimer's Disease Research Center, National Cheng Kung University Hospital, Tainan, Taiwan; Institute of Gerontology, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Cheng-Sheng Chen
- Department of Psychiatry, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan; Department of Psychiatry, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Jong-Ling Fuh
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan; School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Chaur-Jong Hu
- Taipei Neuroscience Institute, Taipei Medical University, Taipei, Taiwan; Department of Neurology and Dementia Center, Taipei Medical University-Shuang Ho Hospital, New Taipei City, Taiwan; Department of Neurology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Ming-Jang Chiu
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan.
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Jain L, Khrestian M, Formica S, Tuason ED, Pillai JA, Rao S, Oguh O, Lippa CF, Lopez OL, Berman SB, Tsuang DW, Zabetian CP, Irwin DJ, Galasko DR, Litvan I, Marder KS, Honig LS, Fleisher JE, Galvin JE, Bozoki AC, Taylor AS, Sabbagh MN, Leverenz JB, Bekris LM. ATN cerebrospinal fluid biomarkers in dementia with Lewy bodies: Initial results from the United States Dementia with Lewy Bodies Consortium. Alzheimers Dement 2024; 20:549-562. [PMID: 37740924 PMCID: PMC10840643 DOI: 10.1002/alz.13398] [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: 03/29/2023] [Revised: 06/09/2023] [Accepted: 06/19/2023] [Indexed: 09/25/2023]
Abstract
INTRODUCTION The National Institute on Aging - Alzheimer's Association (NIA-AA) ATN research framework proposes to use biomarkers for amyloid (A), tau (T), and neurodegeneration (N) to stage individuals with AD pathological features and track changes longitudinally. The overall aim was to utilize this framework to characterize pre-mortem ATN status longitudinally in a clinically diagnosed cohort of dementia with Lewy bodies (DLB) and to correlate it with the post mortem diagnosis. METHODS The cohort was subtyped by cerebrospinal fluid (CSF) ATN category. A subcohort had longitudinal data, and a subgroup was neuropathologically evaluated. RESULTS We observed a significant difference in Aβ42/40 after 12 months in the A+T- group. Post mortem neuropathologic analyses indicated that most of the p-Tau 181 positive (T+) cases also had a high Braak stage. DISCUSSION This suggests that DLB patients who are A+ but T- may need to be monitored to determine whether they remain A+ or ever progress to T positivity. HIGHLIGHTS Some A+T- DLB subjects transition from A+ to negative after 12-months. Clinically diagnosed DLB with LBP-AD (A+T+) maintain their positivity. Clinically diagnosed DLB with LBP-AD (A+T+) maintain their positivity. Monitoring of the A+T- sub-type of DLB may be necessary.
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Affiliation(s)
- Lavanya Jain
- Genomic Medicine InstituteCleveland ClinicClevelandOhioUSA
| | | | - Shane Formica
- Genomic Medicine InstituteCleveland ClinicClevelandOhioUSA
| | | | - Jagan A. Pillai
- Cleveland Clinic Lou Ruvo Center for Brain HealthCleveland ClinicClevelandOhioUSA
| | - Stephen Rao
- Cleveland Clinic Lou Ruvo Center for Brain HealthCleveland ClinicClevelandOhioUSA
| | - Odinachi Oguh
- Cleveland Clinic Lou Ruvo Center for Brain Health‐Las VegasCleveland ClinicLas VegasNevadaUSA
| | - Carol F. Lippa
- Cleveland Clinic Lou Ruvo Center for Brain Health‐Las VegasCleveland ClinicLas VegasNevadaUSA
| | - Oscar L. Lopez
- Cognitive Disorders & Comprehensive Alzheimer's Disease CenterThomas Jefferson UniversityPhiladelphiaPennsylvaniaUSA
| | - Sarah B. Berman
- Department of NeurologyUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Debby W. Tsuang
- Department of Psychiatry and Behavioral SciencesUniversity of Washington School of MedicineSeattleWashingtonUSA
- Geriatric Research, Education, and Clinical CenterVA Puget Sound Health Care SystemSeattleWashingtonUSA
| | - Cyrus P. Zabetian
- Geriatric Research, Education, and Clinical CenterVA Puget Sound Health Care SystemSeattleWashingtonUSA
- Department of NeurologyUniversity of Washington School of MedicineSeattleWashingtonUSA
| | - David J. Irwin
- Department of NeurologyUniversity of Pennsylvania Health SystemPhiladelphiaPennsylvaniaUSA
- Digital Neuropathology LaboratoryPhiladelphiaPennsylvaniaUSA
- Lewy Body Disease Research Center of ExcellencePhiladelphiaPennsylvaniaUSA
- Frontotemporal Degeneration CenterPhiladelphiaPennsylvaniaUSA
| | - Douglas R. Galasko
- Department of NeurosciencesUniversity of CaliforniaSan DiegoCaliforniaUSA
| | - Irene Litvan
- Department of NeurosciencesUniversity of CaliforniaSan DiegoCaliforniaUSA
| | - Karen S. Marder
- Columbia University Irving Medical CenterNew YorkNew YorkUSA
| | - Lawrence S. Honig
- Department of NeurosciencesUniversity of CaliforniaSan DiegoCaliforniaUSA
| | - Jori E. Fleisher
- Department of Neurological SciencesRush Medical CollegeChicagoIllinoisUSA
| | - James E. Galvin
- Department of NeurologyComprehensive Center for Brain HealthUniversity of Miami Miller School of MedicineMiamiFloridaUSA
| | - Andrea C. Bozoki
- Department of NeurologyUniversity of North CarolinaChapel HillNorth CarolinaUSA
| | | | - Marwan N. Sabbagh
- Department of NeurologyBarrow Neurological InstitutePhoenixArizonaUSA
| | - James B. Leverenz
- Cleveland Clinic Lou Ruvo Center for Brain HealthCleveland ClinicClevelandOhioUSA
| | - Lynn M. Bekris
- Genomic Medicine InstituteCleveland ClinicClevelandOhioUSA
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Cozza M, Boccardi V. A narrative review on mild behavioural impairment: an exploration into its scientific perspectives. Aging Clin Exp Res 2023; 35:1807-1821. [PMID: 37392350 DOI: 10.1007/s40520-023-02472-1] [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: 05/01/2023] [Accepted: 06/06/2023] [Indexed: 07/03/2023]
Abstract
In clinical practice, the admission of patients with late-onset psychological and behavioural symptoms is frequent, regardless of the presence or absence of cognitive decline. These symptoms commonly occur in the prodromal stage of dementia and can precede the onset of dementia. While the concept of Mild Cognitive Impairment (MCI) -which is defined as a level of cognitive impairment insufficient to impact daily functioning- is well established, the notion of Mild Behavioural Impairment (MBI) is not yet widely recognized. However, studies have demonstrated that the presence of MBI in both cognitively normal patients and individuals with MCI is associated with an increased risk of dementia progression. Thus, MBI may serve as a neurobehavioral indicator of pre-dementia risk states. This narrative review aims to discuss the evolution of the term, the relevant clinical aspects, and potential biomarkers that may contribute to the clinical definition of MBI. The objective is to assist clinicians in recognizing the diagnosis and differentiating it from psychiatric syndromes, as well as identifying possible etiologies of neurodegeneration.
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Affiliation(s)
- Mariagiovanna Cozza
- Department of Integration, Intermediate Care Programme, AUSL Bologna, Bologna, Italy
| | - Virginia Boccardi
- Institute of Gerontology and Geriatrics, Department of Medicine and Surgery, University of Perugia, Santa Maria della Misericordia Hospital, Piazzale Gambuli 1, 06132, Perugia, Italy.
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Loveland PM, Yu JJ, Churilov L, Yassi N, Watson R. Investigation of Inflammation in Lewy Body Dementia: A Systematic Scoping Review. Int J Mol Sci 2023; 24:12116. [PMID: 37569491 PMCID: PMC10418754 DOI: 10.3390/ijms241512116] [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: 06/30/2023] [Revised: 07/24/2023] [Accepted: 07/26/2023] [Indexed: 08/13/2023] Open
Abstract
Inflammatory mechanisms are increasingly recognized as important contributors to the pathogenesis of neurodegenerative diseases, including Lewy body dementia (LBD). Our objectives were to, firstly, review inflammation investigation methods in LBD (dementia with Lewy bodies and Parkinson's disease dementia) and, secondly, identify alterations in inflammatory signals in LBD compared to people without neurodegenerative disease and other neurodegenerative diseases. A systematic scoping review was performed by searching major electronic databases (MEDLINE, Embase, Web of Science, and PSYCHInfo) to identify relevant human studies. Of the 2509 results screened, 80 studies were included. Thirty-six studies analyzed postmortem brain tissue, and 44 investigated living subjects with cerebrospinal fluid, blood, and/or brain imaging assessments. Largely cross-sectional data were available, although two longitudinal clinical studies investigated prodromal Lewy body disease. Investigations were focused on inflammatory immune cell activity (microglia, astrocytes, and lymphocytes) and inflammatory molecules (cytokines, etc.). Results of the included studies identified innate and adaptive immune system contributions to inflammation associated with Lewy body pathology and clinical disease features. Different signals in early and late-stage disease, with possible late immune senescence and dystrophic glial cell populations, were identified. The strength of these associations is limited by the varying methodologies, small study sizes, and cross-sectional nature of the data. Longitudinal studies investigating associations with clinical and other biomarker outcomes are needed to improve understanding of inflammatory activity over the course of LBD. This could identify markers of disease activity and support therapeutic development.
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Affiliation(s)
- Paula M. Loveland
- Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville 3000, Australia
- Department of Medicine, The Royal Melbourne Hospital, University of Melbourne, Parkville 3000, Australia
| | - Jenny J. Yu
- Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville 3000, Australia
- Department of Medicine, The Royal Melbourne Hospital, University of Melbourne, Parkville 3000, Australia
| | - Leonid Churilov
- Department of Neurology, Melbourne Brain Centre, The Royal Melbourne Hospital, University of Melbourne, Parkville 3000, Australia
- Melbourne Medical School, University of Melbourne, Parkville 3000, Australia
| | - Nawaf Yassi
- Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville 3000, Australia
- Department of Medicine, The Royal Melbourne Hospital, University of Melbourne, Parkville 3000, Australia
- Department of Neurology, Melbourne Brain Centre, The Royal Melbourne Hospital, University of Melbourne, Parkville 3000, Australia
| | - Rosie Watson
- Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville 3000, Australia
- Department of Medicine, The Royal Melbourne Hospital, University of Melbourne, Parkville 3000, Australia
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7
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Asken BM, Tanner JA, Gaynor LS, VandeVrede L, Mantyh WG, Casaletto KB, Staffaroni AM, Fonseca C, Shankar R, Grant H, Smith K, Lago AL, Xu H, La Joie R, Cobigo Y, Rosen H, Perry DC, Rojas JC, Miller BL, Gardner RC, Wang KKW, Kramer JH, Rabinovici GD. Alzheimer's pathology is associated with altered cognition, brain volume, and plasma biomarker patterns in traumatic encephalopathy syndrome. Alzheimers Res Ther 2023; 15:126. [PMID: 37480088 PMCID: PMC10360257 DOI: 10.1186/s13195-023-01275-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Accepted: 07/12/2023] [Indexed: 07/23/2023]
Abstract
BACKGROUND Traumatic encephalopathy syndrome (TES) is a clinical phenotype sensitive but non-specific to underlying chronic traumatic encephalopathy (CTE) neuropathology. However, cognitive symptoms of TES overlap with Alzheimer's disease (AD), and features of AD pathology like beta-amyloid (Aβ) plaques often co-occur with CTE, making clinical-to-pathological conclusions of TES diagnoses challenging. We investigated how Alzheimer's neuropathological changes associated with cognition, brain volume, and plasma biomarkers in patients with repetitive head impacts (RHI)/TES, clinical AD, or typically aging controls. METHODS We studied 154 participants including 33 with RHI/TES (age 61.5 ± 11.5, 100% male, 11/33 Aβ[ +]), 62 with AD and no known prior RHI (age 67.1 ± 10.2, 48% male, 62/62 Aβ[ +]), and 59 healthy controls without RHI (HC; age 73.0 ± 6.2, 40% male, 0/59 Aβ[ +]). Patients completed neuropsychological testing (memory, executive functioning, language, visuospatial) and structural MRI (voxel-based morphometry analysis), and provided plasma samples analyzed for GFAP, NfL, IL-6, IFN-γ, and YKL-40. For cognition and plasma biomarkers, patients with RHI/TES were stratified as Aβ[ +] or Aβ[ -] and compared to each other plus the AD and HC groups (ANCOVA adjusting for age and sex). Differences with at least a medium effect size (Cohen's d > 0.50) were interpreted as potentially meaningful. RESULTS Cognitively, within the TES group, Aβ[ +] RHI/TES performed worse than Aβ[-] RHI/TES on visuospatial (p = .04, d = 0.86) and memory testing (p = .07, d = 0.74). Comparing voxel-wise brain volume, both Aβ[ +] and Aβ[ -] RHI/TES had lower medial and anterior temporal lobe volume than HC and did not significantly differ from AD. Comparing plasma biomarkers, Aβ[ +] RHI/TES had higher plasma GFAP than HC (p = .01, d = 0.88) and did not significantly differ from AD. Conversely, Aβ[ -] RHI/TES had higher NfL than HC (p = .004, d = 0.93) and higher IL-6 than all other groups (p's ≤ .004, d's > 1.0). CONCLUSIONS Presence of Alzheimer's pathology in patients with RHI/TES is associated with altered cognitive and biomarker profiles. Patients with RHI/TES and positive Aβ-PET have cognitive and plasma biomarker changes that are more like patients with AD than patients with Aβ[ -] RHI/TES. Measuring well-validated Alzheimer's biomarkers in patients with RHI/TES could improve interpretation of research findings and heighten precision in clinical management.
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Affiliation(s)
- Breton M Asken
- Department of Clinical & Health Psychology, 1Florida Alzheimer's Disease Research Center, University of Florida, 1225 Center Drive, Gainesville, FL, 32610, USA.
| | - Jeremy A Tanner
- Department of Neurology, Biggs Institute for Alzheimer's and Neurodegenerative Diseases, South Texas Alzheimer's Disease Research Center, University of Texas Health - San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229, USA
| | - Leslie S Gaynor
- Department of Neurology, Weill Institute for Neurosciences, Memory and Aging Center, University of California, San Francisco, 675 Nelson Rising Lane, San Francisco, CA, 94158, USA
| | - Lawren VandeVrede
- Department of Neurology, Weill Institute for Neurosciences, Memory and Aging Center, University of California, San Francisco, 675 Nelson Rising Lane, San Francisco, CA, 94158, USA
| | - William G Mantyh
- Department of Neurology, University of Minnesota, PWB 12-100, 516 Delaware Street SE, Minneapolis, MN, 55455, USA
| | - Kaitlin B Casaletto
- Department of Neurology, Weill Institute for Neurosciences, Memory and Aging Center, University of California, San Francisco, 675 Nelson Rising Lane, San Francisco, CA, 94158, USA
| | - Adam M Staffaroni
- Department of Neurology, Weill Institute for Neurosciences, Memory and Aging Center, University of California, San Francisco, 675 Nelson Rising Lane, San Francisco, CA, 94158, USA
| | - Corrina Fonseca
- Department of Neuroscience, Helen Wills Neuroscience Institute, University of California, 132 Barker Hall MC#3190, Berkeley, CA, 94720, USA
| | - Ranjani Shankar
- Department of Neurology, Weill Institute for Neurosciences, Memory and Aging Center, University of California, San Francisco, 675 Nelson Rising Lane, San Francisco, CA, 94158, USA
| | - Harli Grant
- Department of Neurology, Weill Institute for Neurosciences, Memory and Aging Center, University of California, San Francisco, 675 Nelson Rising Lane, San Francisco, CA, 94158, USA
| | - Karen Smith
- Department of Neurology, Weill Institute for Neurosciences, Memory and Aging Center, University of California, San Francisco, 675 Nelson Rising Lane, San Francisco, CA, 94158, USA
| | - Argentina Lario Lago
- Department of Neurology, Weill Institute for Neurosciences, Memory and Aging Center, University of California, San Francisco, 675 Nelson Rising Lane, San Francisco, CA, 94158, USA
| | - Haiyan Xu
- Department of Surgery, University of Florida, PO Box 100128, Gainesville, FL, 32610, USA
| | - Renaud La Joie
- Department of Neurology, Weill Institute for Neurosciences, Memory and Aging Center, University of California, San Francisco, 675 Nelson Rising Lane, San Francisco, CA, 94158, USA
| | - Yann Cobigo
- Department of Neurology, Weill Institute for Neurosciences, Memory and Aging Center, University of California, San Francisco, 675 Nelson Rising Lane, San Francisco, CA, 94158, USA
| | - Howie Rosen
- Department of Neurology, Weill Institute for Neurosciences, Memory and Aging Center, University of California, San Francisco, 675 Nelson Rising Lane, San Francisco, CA, 94158, USA
| | - David C Perry
- Department of Neurology, Weill Institute for Neurosciences, Memory and Aging Center, University of California, San Francisco, 675 Nelson Rising Lane, San Francisco, CA, 94158, USA
| | - Julio C Rojas
- Department of Neurology, Weill Institute for Neurosciences, Memory and Aging Center, University of California, San Francisco, 675 Nelson Rising Lane, San Francisco, CA, 94158, USA
| | - Bruce L Miller
- Department of Neurology, Weill Institute for Neurosciences, Memory and Aging Center, University of California, San Francisco, 675 Nelson Rising Lane, San Francisco, CA, 94158, USA
| | - Raquel C Gardner
- Sheba Medical Center, Tel Hashomer City of Health, Tel Aviv District, Derech Sheba 2, Ramat Gan, Israel
| | - Kevin K W Wang
- Department of Neurobiology, Morehouse School of Medicine, 720 Westview Drive SW, Atlanta, GA, 30310, USA
| | - Joel H Kramer
- Department of Neurology, Weill Institute for Neurosciences, Memory and Aging Center, University of California, San Francisco, 675 Nelson Rising Lane, San Francisco, CA, 94158, USA
| | - Gil D Rabinovici
- Department of Neurology, Weill Institute for Neurosciences, Memory and Aging Center, University of California, San Francisco, 675 Nelson Rising Lane, San Francisco, CA, 94158, USA
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8
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Sensi SL, Russo M, Tiraboschi P. Biomarkers of diagnosis, prognosis, pathogenesis, response to therapy: Convergence or divergence? Lessons from Alzheimer's disease and synucleinopathies. HANDBOOK OF CLINICAL NEUROLOGY 2023; 192:187-218. [PMID: 36796942 DOI: 10.1016/b978-0-323-85538-9.00015-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
Alzheimer's disease (AD) is the most common disorder associated with cognitive impairment. Recent observations emphasize the pathogenic role of multiple factors inside and outside the central nervous system, supporting the notion that AD is a syndrome of many etiologies rather than a "heterogeneous" but ultimately unifying disease entity. Moreover, the defining pathology of amyloid and tau coexists with many others, such as α-synuclein, TDP-43, and others, as a rule, not an exception. Thus, an effort to shift our AD paradigm as an amyloidopathy must be reconsidered. Along with amyloid accumulation in its insoluble state, β-amyloid is becoming depleted in its soluble, normal states, as a result of biological, toxic, and infectious triggers, requiring a shift from convergence to divergence in our approach to neurodegeneration. These aspects are reflected-in vivo-by biomarkers, which have become increasingly strategic in dementia. Similarly, synucleinopathies are primarily characterized by abnormal deposition of misfolded α-synuclein in neurons and glial cells and, in the process, depleting the levels of the normal, soluble α-synuclein that the brain needs for many physiological functions. The soluble to insoluble conversion also affects other normal brain proteins, such as TDP-43 and tau, accumulating in their insoluble states in both AD and dementia with Lewy bodies (DLB). The two diseases have been distinguished by the differential burden and distribution of insoluble proteins, with neocortical phosphorylated tau deposition more typical of AD and neocortical α-synuclein deposition peculiar to DLB. We propose a reappraisal of the diagnostic approach to cognitive impairment from convergence (based on clinicopathologic criteria) to divergence (based on what differs across individuals affected) as a necessary step for the launch of precision medicine.
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Affiliation(s)
- Stefano L Sensi
- Department of Neuroscience, Imaging, and Clinical Sciences, "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy; Molecular Neurology Unit, Center for Advanced Studies and Technology-CAST and ITAB Institute for Advanced Biotechnology, "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy.
| | - Mirella Russo
- Department of Neuroscience, Imaging, and Clinical Sciences, "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy; Molecular Neurology Unit, Center for Advanced Studies and Technology-CAST and ITAB Institute for Advanced Biotechnology, "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Pietro Tiraboschi
- Division of Neurology V-Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
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9
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Tigchelaar C, Muller WD, Atmosoerodjo SD, Wardenaar KJ, Kema IP, Absalom AR, van Faassen M. Concentration gradients of monoamines, their precursors and metabolites in serial lumbar cerebrospinal fluid of neurologically healthy patients determined with a novel LC-MS/MS technique. Fluids Barriers CNS 2023; 20:13. [PMID: 36782208 PMCID: PMC9923930 DOI: 10.1186/s12987-023-00413-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 02/05/2023] [Indexed: 02/15/2023] Open
Abstract
BACKGROUND Potential biomarkers for neuropsychiatric disorders are cerebrospinal fluid (CSF) monoamines and their corresponding precursors and metabolites. During CSF sampling, CSF flows towards the lumbar sampling site from more cranial regions. To compare the results of studies in which different CSF volumes were acquired, it is important to know if ventricular-lumbar concentration gradients exist. This has only been addressed for a few biogenic amines, and almost exclusively in neurologically unwell patients due to the burden of a lumbar puncture (necessary to obtain CSF). The aim of our study was to determine if concentration gradients exist for routinely measured CSF constituents and biogenic amines in neurologically healthy patients. We applied a novel ultrasensitive liquid chromatography mass spectrometry (LC-MS/MS) method for the simultaneous quantification of multiple monoamines, precursors and metabolites in CSF and plasma. METHODS CSF and blood samples were collected from twenty neurologically healthy patients undergoing spinal anaesthesia. Ten mL of lumbar CSF was collected in five consecutive two mL fractions. We determined leucocyte and erythrocyte counts, glucose, albumin and protein concentrations and quantified monoamines, precursors and metabolites on each of the fractions using LC-MS/MS. RESULTS In twenty patients (60% male; median age: 46 years), dopamine, DOPAC, 3-MT, HVA, noradrenaline, normetanephrine and 5-HIAA concentrations increased from the first to the last CSF fraction (all p < 0.001). CSF adrenaline concentrations were below the detection limit, whereas serotonin measurements were regarded as unreliable. Albumin and total protein levels decreased significantly across CSF fractions. CONCLUSIONS A ventricular-lumbar CSF concentration gradient existed for most of the investigated analytes. This is a novel finding for dopamine, noradrenaline, 3-MT and normetanephrine. These results contribute to the understanding of the neurobiology and underline the importance of standardized procedures for CSF handling to allow comparisons between studies.
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Affiliation(s)
- Celien Tigchelaar
- Department of Anaesthesiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands.
| | - Willemien D. Muller
- grid.4830.f0000 0004 0407 1981Department of Anaesthesiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands
| | - Sawal D. Atmosoerodjo
- grid.4830.f0000 0004 0407 1981Department of Anaesthesiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands
| | - Klaas J. Wardenaar
- grid.4830.f0000 0004 0407 1981Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Ido P. Kema
- grid.4830.f0000 0004 0407 1981Department of Laboratory Medicine, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Anthony R. Absalom
- grid.4830.f0000 0004 0407 1981Department of Anaesthesiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands
| | - Martijn van Faassen
- grid.4830.f0000 0004 0407 1981Department of Laboratory Medicine, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
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10
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Loveland PM, Watson R, Yassi N. Diagnostic challenges for dementia in Australia: are blood-based biomarkers the solution? Intern Med J 2022; 52:2181-2185. [PMID: 37133369 PMCID: PMC10946735 DOI: 10.1111/imj.15973] [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: 03/15/2022] [Accepted: 09/24/2022] [Indexed: 12/23/2022]
Abstract
The burden of dementia will increase as the Australian population ages and grows in coming decades. Early and accurate diagnosis remains challenging, and disproportionately so for particular groups, including rural communities. Recent advances in technology, however, now allow reliable measurement of blood biomarkers that could improve diagnosis in a range of settings. We discuss the most promising biomarker candidates for translation into clinical practice and research in the near future.
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Affiliation(s)
- Paula M. Loveland
- Population Health and Immunity DivisionThe Walter and Eliza Hall Institute of Medical ResearchMelbourneVictoriaAustralia
- Department of Medical BiologyThe University of MelbourneMelbourneVictoriaAustralia
- Department of Medicine, The Royal Melbourne HospitalUniversity of MelbourneMelbourneVictoriaAustralia
| | - Rosie Watson
- Population Health and Immunity DivisionThe Walter and Eliza Hall Institute of Medical ResearchMelbourneVictoriaAustralia
- Department of Medical BiologyThe University of MelbourneMelbourneVictoriaAustralia
- Department of Medicine, The Royal Melbourne HospitalUniversity of MelbourneMelbourneVictoriaAustralia
| | - Nawaf Yassi
- Population Health and Immunity DivisionThe Walter and Eliza Hall Institute of Medical ResearchMelbourneVictoriaAustralia
- Department of Medical BiologyThe University of MelbourneMelbourneVictoriaAustralia
- Department of Medicine, The Royal Melbourne HospitalUniversity of MelbourneMelbourneVictoriaAustralia
- Department of Neurology, Melbourne Brain Centre at The Royal Melbourne HospitalUniversity of MelbourneMelbourneVictoriaAustralia
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11
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Xu C, Zhao L, Dong C. A Review of Application of Aβ42/40 Ratio in Diagnosis and Prognosis of Alzheimer’s Disease. J Alzheimers Dis 2022; 90:495-512. [DOI: 10.3233/jad-220673] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
The number of patients with Alzheimer’s disease (AD) and non-Alzheimer’s disease (non-AD) has drastically increased over recent decades. The amyloid cascade hypothesis attributes a vital role to amyloid-β protein (Aβ) in the pathogenesis of AD. As the main pathological hallmark of AD, amyloid plaques consist of merely the 42 and 40 amino acid variants of Aβ (Aβ 42 and Aβ 40). The cerebrospinal fluid (CSF) biomarker Aβ 42/40 has been extensively investigated and eventually integrated into important diagnostic tools to support the clinical diagnosis of AD. With the development of highly sensitive assays and technologies, blood-based Aβ 42/40, which was obtained using a minimally invasive and cost-effective method, has been proven to be abnormal in synchrony with CSF biomarker values. This paper presents the recent progress of the CSF Aβ 42/40 ratio and plasma Aβ 42/40 for AD as well as their potential clinical application as diagnostic markers or screening tools for dementia.
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Affiliation(s)
- Chang Xu
- Department of Neurology, the First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Li Zhao
- Department of Neurology, the First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Chunbo Dong
- Department of Neurology, the First Affiliated Hospital, Dalian Medical University, Dalian, China
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12
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Foska A, Tsantzali I, Sideri E, Stefanou MI, Bakola E, Kitsos DK, Zompola C, Bonakis A, Giannopoulos S, Voumvourakis KI, Tsivgoulis G, Paraskevas GP. Classical Cerebrospinal Fluid Biomarkers in Dementia with Lewy Bodies. Medicina (B Aires) 2022; 58:medicina58050612. [PMID: 35630029 PMCID: PMC9144333 DOI: 10.3390/medicina58050612] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Revised: 04/22/2022] [Accepted: 04/27/2022] [Indexed: 11/16/2022] Open
Abstract
The use and interpretation of diagnostic cerebrospinal fluid (CSF) biomarkers for neurodegenerative disorders, such as Dementia with Lewy bodies (DLB), represent a clinical challenge. According to the literature, the composition of CSF in DLB patients varies. Some patients present with reduced levels of amyloid, others with full Alzheimer Disease CSF profile (both reduced amyloid and increased phospho-tau) and some with a normal profile. Some patients may present with abnormal levels of a-synuclein. Continuous efforts will be required to establish useful CSF biomarkers for the early diagnosis of DLB. Given the heterogeneity of methods and results between studies, further validation is fundamental before conclusions can be drawn.
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13
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Potentiometric Biosensor Based on Artificial Antibodies for an Alzheimer Biomarker Detection. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12073625] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
This paper presents a potentiometric biosensor for the detection of amyloid β-42 (Aβ-42) in point-of-care analysis. This approach is based on the molecular imprint polymer (MIP) technique, which uses covalently immobilised Aβ-42 to create specific detection cavities on the surface of single-walled carbon nanotubes (SWCNTs). The biosensor was prepared by binding Aβ-42 to the SWCNT surface and then imprinting it by adding acrylamide (monomer), N,N’-methylene-bis-acrylamide (crosslinker) and ammonium persulphate (initiator). The target peptide was removed from the polymer matrix by the proteolytic action of an enzyme (proteinase K). The presence of imprinting sites was confirmed by comparing a MIP-modified surface with a negative control (NIP) consisting of a similar material where the target molecule had been removed from the process. The ability of the sensing material to rebind Aβ-42 was demonstrated by incorporating the MIP material as an electroactive compound in a PVC/plasticiser mixture applied to a solid conductive support of graphite. All steps of the synthesis of the imprinted materials were followed by Raman spectroscopy and Fourier transform infrared spectroscopy (FTIR). The analytical performance was evaluated by potentiometric transduction, and the MIP material showed cationic slopes of 75 mV-decade−1 in buffer pH 8.0 and a detection limit of 0.72 μg/mL. Overall, potentiometric transduction confirmed that the sensor can discriminate Aβ-42 in the presence of other biomolecules in the same solution.
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14
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Giudici KV, Guyonnet S, Morley JE, Nguyen AD, Aggarwal G, Parini A, Li Y, Bateman RJ, Vellas B, de Souto Barreto P. Interactions Between Weight Loss and Plasma Neurodegenerative Markers for Determining Cognitive Decline Among Community-Dwelling Older Adults. J Gerontol A Biol Sci Med Sci 2022; 77:1159-1168. [PMID: 35034116 PMCID: PMC9159663 DOI: 10.1093/gerona/glac015] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Indexed: 01/18/2023] Open
Abstract
This study aimed to investigate the interaction between weight loss (WL) and plasma amyloid-β 42/40 (Aβ 42/40), neurofilament light chain (NfL), progranulin, and their association with cognitive decline over time among older adults. This 5-year observational approach included 470 participants from the Multidomain Alzheimer Preventive Trial, mean age 76.8 years (SD = 4.5), 59.4% women. WL was defined as ≥5% decrease over the first year. Biomarkers were measured at 12 months. Cognitive function was assessed yearly from 12 months onward by Mini-Mental State Examination (MMSE); Clinical Dementia Rating sum of boxes (CDR-SB); a composite score based on Category Naming Test; Digit Symbol Substitution Test; 10 MMSE orientation items (MMSEO) and free and total recall of the Free and Cued Selective Reminding test; and these tests individually. Twenty-seven participants (5.7%) presented WL. In adjusted analyses, combined WL + lower Aβ 42/40 (≤0.103, lowest quartile) was related with more pronounced 4-year cognitive decline according to CDR-SB (p < .0001) and MMSEO (p = .021), compared with non-WL + higher Aβ 42/40. WL + higher NfL (>94.55 pg/mL, highest quartile) or progranulin (>38.4 ng/mL, 3 higher quartiles) were related with higher cognitive decline according to CDR-SB, MMSE, MMSEO, and composite score (all p < .03), compared with non-WL + lower NfL or higher progranulin. Regrouping progranulin quartiles (Q1-Q3 vs Q4) revealed higher cognitive decline among the WL + lower progranulin group compared with non-WL + lower progranulin. In conclusion, 1-year WL was associated with subsequent higher 4-year cognitive decline among older adults presenting low Aβ 42/40 or high NfL. Future studies combining plasma biomarker assessments and body weight surveillance may be useful for identifying people at risk of cognitive impairment. Clinical trial number: NCT00672685.
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Affiliation(s)
- Kelly Virecoulon Giudici
- Address correspondence to: Kelly Virecoulon Giudici, PhD, Gérontopôle of Toulouse, Institute of Aging, Toulouse University Hospital, Université Toulouse III Paul Sabatier, 37 Allée Jules Guesde, 31000 Toulouse, France. E-mail:
| | - Sophie Guyonnet
- Gerontopole of Toulouse, Institute of Ageing, Toulouse University Hospital (CHU Toulouse), Toulouse, France,CERPOP UMR1295, University of Toulouse III, INSERM, UPS, Toulouse, France
| | - John E Morley
- Division of Geriatric Medicine, School of Medicine, Saint Louis University, St. Louis, Missouri, USA
| | - Andrew D Nguyen
- Division of Geriatric Medicine, School of Medicine, Saint Louis University, St. Louis, Missouri, USA
| | - Geetika Aggarwal
- Division of Geriatric Medicine, School of Medicine, Saint Louis University, St. Louis, Missouri, USA
| | - Angelo Parini
- Institute of Metabolic and Cardiovascular Diseases (I2MC), INSERM UMR 1048, University of Toulouse III Paul Sabatier, Toulouse, France
| | - Yan Li
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA,Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Randall J Bateman
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Bruno Vellas
- Gerontopole of Toulouse, Institute of Ageing, Toulouse University Hospital (CHU Toulouse), Toulouse, France,CERPOP UMR1295, University of Toulouse III, INSERM, UPS, Toulouse, France
| | - Philipe de Souto Barreto
- Gerontopole of Toulouse, Institute of Ageing, Toulouse University Hospital (CHU Toulouse), Toulouse, France,CERPOP UMR1295, University of Toulouse III, INSERM, UPS, Toulouse, France
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15
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Milán-Tomás Á, Fernández-Matarrubia M, Rodríguez-Oroz MC. Lewy Body Dementias: A Coin with Two Sides? Behav Sci (Basel) 2021; 11:94. [PMID: 34206456 PMCID: PMC8301188 DOI: 10.3390/bs11070094] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 06/12/2021] [Accepted: 06/15/2021] [Indexed: 02/07/2023] Open
Abstract
Lewy body dementias (LBDs) consist of dementia with Lewy bodies (DLB) and Parkinson's disease dementia (PDD), which are clinically similar syndromes that share neuropathological findings with widespread cortical Lewy body deposition, often with a variable degree of concomitant Alzheimer pathology. The objective of this article is to provide an overview of the neuropathological and clinical features, current diagnostic criteria, biomarkers, and management of LBD. Literature research was performed using the PubMed database, and the most pertinent articles were read and are discussed in this paper. The diagnostic criteria for DLB have recently been updated, with the addition of indicative and supportive biomarker information. The time interval of dementia onset relative to parkinsonism remains the major distinction between DLB and PDD, underpinning controversy about whether they are the same illness in a different spectrum of the disease or two separate neurodegenerative disorders. The treatment for LBD is only symptomatic, but the expected progression and prognosis differ between the two entities. Diagnosis in prodromal stages should be of the utmost importance, because implementing early treatment might change the course of the illness if disease-modifying therapies are developed in the future. Thus, the identification of novel biomarkers constitutes an area of active research, with a special focus on α-synuclein markers.
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Affiliation(s)
- Ángela Milán-Tomás
- Department of Neurology, Clínica Universidad de Navarra, 28027 Madrid, Spain;
| | - Marta Fernández-Matarrubia
- Department of Neurology, Clínica Universidad de Navarra, 31008 Pamplona, Spain;
- IdiSNA, Navarra Institute for Health Research, 31008 Pamplona, Spain
| | - María Cruz Rodríguez-Oroz
- Department of Neurology, Clínica Universidad de Navarra, 28027 Madrid, Spain;
- Department of Neurology, Clínica Universidad de Navarra, 31008 Pamplona, Spain;
- IdiSNA, Navarra Institute for Health Research, 31008 Pamplona, Spain
- CIMA, Center of Applied Medical Research, Universidad de Navarra, Neurosciences Program, 31008 Pamplona, Spain
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