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Li J, Chen D, Liu H, Xi Y, Luo H, Wei Y, Liu J, Liang H, Zhang Q. Identifying potential genetic epistasis implicated in Alzheimer's disease via detection of SNP-SNP interaction on quantitative trait CSF Aβ 42. Neurobiol Aging 2024; 134:84-93. [PMID: 38039940 DOI: 10.1016/j.neurobiolaging.2023.10.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 10/06/2023] [Accepted: 10/10/2023] [Indexed: 12/03/2023]
Abstract
Although genome-wide association studies have identified multiple Alzheimer's disease (AD)-associated loci by selecting the main effects of individual single-nucleotide polymorphisms (SNPs), the interpretation of genetic variance in AD is limited. Based on the linear regression method, we performed genome-wide SNP-SNP interaction on cerebrospinal fluid Aβ42 to identify potential genetic epistasis implicated in AD, with age, gender, and diagnosis as covariates. A GPU-based method was used to address the computational challenges posed by the analysis of epistasis. We found 368 SNP pairs to be statistically significant, and highly significant SNP-SNP interactions were identified between the marginal main effects of SNP pairs, which explained a relatively high variance at the Aβ42 level. Our results replicated 100 previously reported AD-related genes and 5 gene-gene interaction pairs of the protein-protein interaction network. Our bioinformatics analyses provided preliminary evidence that the 5-overlapping gene-gene interaction pairs play critical roles in inducing synaptic loss and dysfunction, thereby leading to memory decline and cognitive impairment in AD-affected brains.
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Affiliation(s)
- Jin Li
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China
| | - Dandan Chen
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China; School of Automation Engineering, Northeast Electric Power University, Jilin, China
| | - Hongwei Liu
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China
| | - Yang Xi
- School of Computer Science, Northeast Electric Power University, Jilin, China
| | - Haoran Luo
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China
| | - Yiming Wei
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China
| | - Junfeng Liu
- School of Computer Science, Northeast Electric Power University, Jilin, China
| | - Hong Liang
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China.
| | - Qiushi Zhang
- School of Computer Science, Northeast Electric Power University, Jilin, China.
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Hosoki S, Hansra GK, Jayasena T, Poljak A, Mather KA, Catts VS, Rust R, Sagare A, Kovacic JC, Brodtmann A, Wallin A, Zlokovic BV, Ihara M, Sachdev PS. Molecular biomarkers for vascular cognitive impairment and dementia. Nat Rev Neurol 2023; 19:737-753. [PMID: 37957261 DOI: 10.1038/s41582-023-00884-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/29/2023] [Indexed: 11/15/2023]
Abstract
As disease-specific interventions for dementia are being developed, the ability to identify the underlying pathology and dementia subtypes is increasingly important. Vascular cognitive impairment and dementia (VCID) is the second most common cause of dementia after Alzheimer disease, but progress in identifying molecular biomarkers for accurate diagnosis of VCID has been relatively limited. In this Review, we examine the roles of large and small vessel disease in VCID, considering the underlying pathophysiological processes that lead to vascular brain injury, including atherosclerosis, arteriolosclerosis, ischaemic injury, haemorrhage, hypoperfusion, endothelial dysfunction, blood-brain barrier breakdown, inflammation, oxidative stress, hypoxia, and neuronal and glial degeneration. We consider the key molecules in these processes, including proteins and peptides, metabolites, lipids and circulating RNA, and consider their potential as molecular biomarkers alone and in combination. We also discuss the challenges in translating the promise of these biomarkers into clinical application.
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Affiliation(s)
- Satoshi Hosoki
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
- Department of Neurology, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Gurpreet K Hansra
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
| | - Tharusha Jayasena
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
| | - Anne Poljak
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
- Bioanalytical Mass Spectrometry Facility, Mark Wainwright Analytical Centre, University of New South Wales, Sydney, NSW, Australia
| | - Karen A Mather
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
| | - Vibeke S Catts
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
| | - Ruslan Rust
- Department of Physiology and Neuroscience, Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Abhay Sagare
- Department of Physiology and Neuroscience, Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jason C Kovacic
- Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai, New York, New York, NY, USA
- Victor Chang Cardiac Research Institute, Darlinghurst, NSW, Australia
- St Vincent's Clinical School, University of New South Wales, Sydney, NSW, Australia
| | - Amy Brodtmann
- Department of Neurology, Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Anders Wallin
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Berislav V Zlokovic
- Department of Physiology and Neuroscience, Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Masafumi Ihara
- Department of Neurology, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia.
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Salvioli S, Basile MS, Bencivenga L, Carrino S, Conte M, Damanti S, De Lorenzo R, Fiorenzato E, Gialluisi A, Ingannato A, Antonini A, Baldini N, Capri M, Cenci S, Iacoviello L, Nacmias B, Olivieri F, Rengo G, Querini PR, Lattanzio F. Biomarkers of aging in frailty and age-associated disorders: State of the art and future perspective. Ageing Res Rev 2023; 91:102044. [PMID: 37647997 DOI: 10.1016/j.arr.2023.102044] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 08/24/2023] [Accepted: 08/25/2023] [Indexed: 09/01/2023]
Abstract
According to the Geroscience concept that organismal aging and age-associated diseases share the same basic molecular mechanisms, the identification of biomarkers of age that can efficiently classify people as biologically older (or younger) than their chronological (i.e. calendar) age is becoming of paramount importance. These people will be in fact at higher (or lower) risk for many different age-associated diseases, including cardiovascular diseases, neurodegeneration, cancer, etc. In turn, patients suffering from these diseases are biologically older than healthy age-matched individuals. Many biomarkers that correlate with age have been described so far. The aim of the present review is to discuss the usefulness of some of these biomarkers (especially soluble, circulating ones) in order to identify frail patients, possibly before the appearance of clinical symptoms, as well as patients at risk for age-associated diseases. An overview of selected biomarkers will be discussed in this regard, in particular we will focus on biomarkers related to metabolic stress response, inflammation, and cell death (in particular in neurodegeneration), all phenomena connected to inflammaging (chronic, low-grade, age-associated inflammation). In the second part of the review, next-generation markers such as extracellular vesicles and their cargos, epigenetic markers and gut microbiota composition, will be discussed. Since recent progresses in omics techniques have allowed an exponential increase in the production of laboratory data also in the field of biomarkers of age, making it difficult to extract biological meaning from the huge mass of available data, Artificial Intelligence (AI) approaches will be discussed as an increasingly important strategy for extracting knowledge from raw data and providing practitioners with actionable information to treat patients.
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Affiliation(s)
- Stefano Salvioli
- Department of Medical and Surgical Science, University of Bologna, Bologna, Italy; IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
| | | | - Leonardo Bencivenga
- Department of Translational Medical Sciences, University of Naples Federico II, Napoli, Italy
| | - Sara Carrino
- Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
| | - Maria Conte
- Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
| | - Sarah Damanti
- IRCCS Ospedale San Raffaele and Vita-Salute San Raffaele University, Milano, Italy
| | - Rebecca De Lorenzo
- IRCCS Ospedale San Raffaele and Vita-Salute San Raffaele University, Milano, Italy
| | - Eleonora Fiorenzato
- Parkinson's Disease and Movement Disorders Unit, Center for Rare Neurological Diseases (ERN-RND), Department of Neurosciences, University of Padova, Padova, Italy
| | - Alessandro Gialluisi
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli, Italy; EPIMED Research Center, Department of Medicine and Surgery, University of Insubria, Varese, Italy
| | - Assunta Ingannato
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy; IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Angelo Antonini
- Parkinson's Disease and Movement Disorders Unit, Center for Rare Neurological Diseases (ERN-RND), Department of Neurosciences, University of Padova, Padova, Italy; Center for Neurodegenerative Disease Research (CESNE), Department of Neurosciences, University of Padova, Padova, Italy
| | - Nicola Baldini
- IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy; Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Miriam Capri
- Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
| | - Simone Cenci
- IRCCS Ospedale San Raffaele and Vita-Salute San Raffaele University, Milano, Italy
| | - Licia Iacoviello
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli, Italy; EPIMED Research Center, Department of Medicine and Surgery, University of Insubria, Varese, Italy
| | - Benedetta Nacmias
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy; IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Fabiola Olivieri
- Department of Clinical and Molecular Sciences, Università Politecnica Delle Marche, Ancona, Italy; Clinic of Laboratory and Precision Medicine, IRCCS INRCA, Ancona, Italy
| | - Giuseppe Rengo
- Department of Translational Medical Sciences, University of Naples Federico II, Napoli, Italy; Istituti Clinici Scientifici Maugeri IRCCS, Scientific Institute of Telese Terme, Telese Terme, Italy
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Marchegiani F, Recchioni R, Marcheselli F, Di Rosa M, Sabbatinelli J, Matacchione G, Giuliani A, Ramini D, Stripoli P, Biscetti L, Pelliccioni G, Sarzani R, Spannella F, Cherubini A, Corsonello A, Procopio AD, Bonfigli AR, Bonafè M, Lattanzio F, Olivieri F. Association of admission serum levels of neurofilament light chain and in-hospital mortality in geriatric patients with COVID-19. J Neurol 2023; 270:37-43. [PMID: 36114298 DOI: 10.1007/s00415-022-11373-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 09/01/2022] [Accepted: 09/06/2022] [Indexed: 01/07/2023]
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Baichurina I, Valiullin V, James V, Rizvanov A, Mukhamedshina Y. The Study of Cerebrospinal Fluid microRNAs in Spinal Cord Injury and Neurodegenerative Diseases: Methodological Problems and Possible Solutions. Int J Mol Sci 2021; 23:114. [PMID: 35008540 DOI: 10.3390/ijms23010114] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 12/20/2021] [Accepted: 12/20/2021] [Indexed: 12/19/2022] Open
Abstract
Despite extensive research on neurological disorders, unanswered questions remain regarding the molecular mechanisms underpinning the course of these diseases, and the search continues for effective biomarkers for early diagnosis, prognosis, or therapeutic intervention. These questions are especially acute in the study of spinal cord injury (SCI) and neurodegenerative diseases. It is believed that the changes in gene expression associated with processes triggered by neurological disorders are the result of post-transcriptional gene regulation. microRNAs (miRNAs) are key regulators of post-transcriptional gene expression and, as such, are often looked to in the search for effective biomarkers. We propose that cerebrospinal fluid (CSF) is potentially a source of biomarkers since it is in direct contact with the central nervous system and therefore may contain biomarkers indicating neurodegeneration or damage to the brain and spinal cord. However, since the abundance of miRNAs in CSF is low, their isolation and detection is technically difficult. In this review, we evaluate the findings of recent studies of CSF miRNAs as biomarkers of spinal cord injury (SCI) and neurodegenerative diseases. We also summarize the current knowledge concerning the methods of studying miRNA in CSF, including RNA isolation and normalization of the data, highlighting the caveats of these approaches and possible solutions.
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Balietti M, Casoli T, Giacconi R, Giuli C. Platelet total PLA2 activity, serum oxidative level and plasma Cu/Zn ratio: a vicious cycle with a potential role to monitor MCI and Alzheimer's disease progression. Rejuvenation Res 2021; 25:16-24. [PMID: 34913745 DOI: 10.1089/rej.2021.0020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Alzheimer's disease (AD) has no cure, mainly because of late diagnosis. Early diagnostic biomarkers are crucial. Phospholipases A2 (PLA2) are hydrolases with several functions in the brain, nevertheless their deregulation contributes to neurodegeneration. We evaluated platelet total PLA2 activity (ptotPLA2) in healthy elderly subjects (HE, n = 102), patients suffering from Mild Cognitive Impairment (MCI, n = 90) and AD (n = 91). Platelets are considered "circulating neurons" and ptotPLA2 seems to mirror the cerebral activity. ptotPLA2 of the three cohorts was similar, but in MCI the higher ptotPLA2 the worse the global cognitive status (Mini Mental State Examination score, MMSE) and in AD the lower ptotPLA2 the more severe the pathology stage (Clinical Dementia Rating, CDR). Accordingly, MCI with MMSE ≥ 26 overlapped HE, in MCI with MMSE < 26 and in AD with CDR 1 ptotPLA2 increased, in AD with CDR 2 ptotPLA2 decreased. In MCI ptotPLA2 positively correlated with blood oxidation and inflammation, in AD it was the opposite. Finally, Discrimination Index (DI) - calculated multiplying ptotPLA2, oxidative level and Cu/Zn ratio (an inflammation parameter) - differentiated MCI patients who progressed to dementia in the following 24 months and AD patients with the worse pathology development. Summarizing, ptotPLA2 changes during MCI and AD progression, is linked, in opposite way, to oxidative/inflammatory status in MCI and AD and might help, when included in DI, to identify MCI converters to dementia and AD patients with the more severe prognosis. ptotPLA2 may have a diagnostic/prognostic value and be a potential therapeutic target.
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Affiliation(s)
- Marta Balietti
- INRCA, Neurobiology of Aging, Via Birrelli 8, Ancona, Italy, 60121;
| | | | | | - Cinzia Giuli
- INRCA IRCCS Hospital, Unit of Geriatrics, contrada Mossa 2, Fermo, Italy, 63900;
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7
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Giuliani A, Gaetani S, Sorgentoni G, Agarbati S, Laggetta M, Matacchione G, Gobbi M, Rossi T, Galeazzi R, Piccinini G, Pelliccioni G, Bonfigli AR, Procopio AD, Albertini MC, Sabbatinelli J, Olivieri F, Fazioli F. Circulating Inflamma-miRs as Potential Biomarkers of Cognitive Impairment in Patients Affected by Alzheimer's Disease. Front Aging Neurosci 2021; 13:647015. [PMID: 33776746 PMCID: PMC7990771 DOI: 10.3389/fnagi.2021.647015] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Accepted: 02/22/2021] [Indexed: 01/10/2023] Open
Abstract
Alzheimer's disease (AD), the most prevalent neurodegenerative disease in the growing population of elderly people, is still lacking minimally-invasive circulating biomarkers that could facilitate the diagnosis and the monitoring of disease progression. MicroRNAs (miRNAs) are emerging as tissue-specific and/or circulating biomarkers of several age-related diseases, but evidence on AD is still not conclusive. Since a systemic pro-inflammatory status was associated with an increased risk of AD development and progression, we focused our investigation on a subset of miRNAs modulating the inflammatory process, namely inflamma-miRNAs. The expression of inflamma-miR-17-5p, -21-5p, -126-3p, and -146a-5p was analyzed in plasma samples from 116 patients with AD compared with 41 age-matched healthy control (HC) subjects. MiR-17-5p, miR-21-5p, and miR-126-3p plasma levels were significantly increased in AD patients compared to HC. Importantly, a strong inverse relationship was observed between miR-21-5p and miR-126-3p, and the cognitive impairment, assessed by Mini-Mental State Examination (MMSE). Notably, miR-126-3p was able to discriminate between mild and severe cognitive impairment. Overall, our results reinforce the hypothesis that circulating inflamma-miRNAs could be assessed as minimally invasive tools associated with the development and progression of cognitive impairment in AD.
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Affiliation(s)
- Angelica Giuliani
- Department of Clinical and Molecular Sciences, Università Politecnica Delle Marche, Ancona, Italy
| | - Simona Gaetani
- Department of Clinical and Molecular Sciences, Università Politecnica Delle Marche, Ancona, Italy
| | - Giulia Sorgentoni
- Department of Clinical and Molecular Sciences, Università Politecnica Delle Marche, Ancona, Italy
| | - Silvia Agarbati
- Department of Clinical and Molecular Sciences, Università Politecnica Delle Marche, Ancona, Italy
| | - Maristella Laggetta
- Department of Clinical and Molecular Sciences, Università Politecnica Delle Marche, Ancona, Italy
| | - Giulia Matacchione
- Department of Clinical and Molecular Sciences, Università Politecnica Delle Marche, Ancona, Italy
| | - Mirko Gobbi
- Department of Clinical and Molecular Sciences, Università Politecnica Delle Marche, Ancona, Italy
| | | | - Roberta Galeazzi
- Clinical Laboratory and Molecular Diagnostics, IRCCS INRCA, Ancona, Italy
| | - Gina Piccinini
- Clinical Laboratory and Molecular Diagnostics, IRCCS INRCA, Ancona, Italy
| | | | | | - Antonio Domenico Procopio
- Department of Clinical and Molecular Sciences, Università Politecnica Delle Marche, Ancona, Italy.,Center of Clinical Pathology and Innovative Therapy, IRCCS INRCA, Ancona, Italy
| | | | - Jacopo Sabbatinelli
- Department of Clinical and Molecular Sciences, Università Politecnica Delle Marche, Ancona, Italy
| | - Fabiola Olivieri
- Department of Clinical and Molecular Sciences, Università Politecnica Delle Marche, Ancona, Italy.,Center of Clinical Pathology and Innovative Therapy, IRCCS INRCA, Ancona, Italy
| | - Francesca Fazioli
- Department of Clinical and Molecular Sciences, Università Politecnica Delle Marche, Ancona, Italy
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Hall JR, Johnson LA, Peterson M, Julovich D, Como T, O'Bryant SE. Relationship of Neurofilament Light (NfL) and Cognitive Performance in a Sample of Mexican Americans with Normal Cognition, Mild Cognitive Impairment and Dementia. Curr Alzheimer Res 2021; 17:1214-1220. [PMID: 33605860 DOI: 10.2174/1567205018666210219105949] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 11/20/2020] [Accepted: 01/05/2021] [Indexed: 11/22/2022]
Abstract
INTRODUCTION This study characterized the relationship between plasma NfL and cognition in a community-based sample of older Mexican Americans. METHODS 544 participants completed a battery of neuropsychological tests and were diagnosed using clinical criteria. NfL was assayed using Simoa. NfL levels across groups and tests were analyzed. RESULTS Difference in NfL was found between normal and impaired groups and was related to global cognition, processing speed, executive functions and a list of learning tasks with a significant negative effect for all diagnostic groups. NfL had a negative impact on processing speed, attention, executive functions and delayed and recognition memory for both normal and MCI groups. CONCLUSION The research supports plasma NfL as a marker of cognitive impairment related to neurodegenerative processes in Mexican Americans and may be a marker of early changes in cognition in those with normal cognition and at risk for developing MCI.
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Affiliation(s)
- James R Hall
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, United States
| | - Leigh A Johnson
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, United States
| | - Melissa Peterson
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, United States
| | - David Julovich
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, United States
| | - Tori Como
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, United States
| | - Sid E O'Bryant
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, United States
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Kokkinou M, Beishon LC, Smailagic N, Noel-Storr AH, Hyde C, Ukoumunne O, Worrall RE, Hayen A, Desai M, Ashok AH, Paul EJ, Georgopoulou A, Casoli T, Quinn TJ, Ritchie CW. Plasma and cerebrospinal fluid ABeta42 for the differential diagnosis of Alzheimer's disease dementia in participants diagnosed with any dementia subtype in a specialist care setting. Cochrane Database Syst Rev 2021; 2:CD010945. [PMID: 33566374 PMCID: PMC8078224 DOI: 10.1002/14651858.cd010945.pub2] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Dementia is a syndrome that comprises many differing pathologies, including Alzheimer's disease dementia (ADD), vascular dementia (VaD) and frontotemporal dementia (FTD). People may benefit from knowing the type of dementia they live with, as this could inform prognosis and may allow for tailored treatment. Beta-amyloid (1-42) (ABeta42) is a protein which decreases in both the plasma and cerebrospinal fluid (CSF) of people living with ADD, when compared to people with no dementia. However, it is not clear if changes in ABeta42 are specific to ADD or if they are also seen in other types of dementia. It is possible that ABeta42 could help differentiate ADD from other dementia subtypes. OBJECTIVES To determine the accuracy of plasma and CSF ABeta42 for distinguishing ADD from other dementia subtypes in people who meet the criteria for a dementia syndrome. SEARCH METHODS We searched MEDLINE, and nine other databases up to 18 February 2020. We checked reference lists of any relevant systematic reviews to identify additional studies. SELECTION CRITERIA We considered cross-sectional studies that differentiated people with ADD from other dementia subtypes. Eligible studies required measurement of participant plasma or CSF ABeta42 levels and clinical assessment for dementia subtype. DATA COLLECTION AND ANALYSIS Seven review authors working independently screened the titles and abstracts generated by the searches. We collected data on study characteristics and test accuracy. We used the second version of the 'Quality Assessment of Diagnostic Accuracy Studies' (QUADAS-2) tool to assess internal and external validity of results. We extracted data into 2 x 2 tables, cross-tabulating index test results (ABeta42) with the reference standard (diagnostic criteria for each dementia subtype). We performed meta-analyses using bivariate, random-effects models. We calculated pooled estimates of sensitivity, specificity, positive predictive values, positive and negative likelihood ratios, and corresponding 95% confidence intervals (CIs). In the primary analysis, we assessed accuracy of plasma or CSF ABeta42 for distinguishing ADD from other mixed dementia types (non-ADD). We then assessed accuracy of ABeta42 for differentiating ADD from specific dementia types: VaD, FTD, dementia with Lewy bodies (DLB), alcohol-related cognitive disorder (ARCD), Creutzfeldt-Jakob disease (CJD) and normal pressure hydrocephalus (NPH). To determine test-positive cases, we used the ABeta42 thresholds employed in the respective primary studies. We then performed sensitivity analyses restricted to those studies that used common thresholds for ABeta42. MAIN RESULTS We identified 39 studies (5000 participants) that used CSF ABeta42 levels to differentiate ADD from other subtypes of dementia. No studies of plasma ABeta42 met the inclusion criteria. No studies were rated as low risk of bias across all QUADAS-2 domains. High risk of bias was found predominantly in the domains of patient selection (28 studies) and index test (25 studies). The pooled estimates for differentiating ADD from other dementia subtypes were as follows: ADD from non-ADD: sensitivity 79% (95% CI 0.73 to 0.85), specificity 60% (95% CI 0.52 to 0.67), 13 studies, 1704 participants, 880 participants with ADD; ADD from VaD: sensitivity 79% (95% CI 0.75 to 0.83), specificity 69% (95% CI 0.55 to 0.81), 11 studies, 1151 participants, 941 participants with ADD; ADD from FTD: sensitivity 85% (95% CI 0.79 to 0.89), specificity 72% (95% CI 0.55 to 0.84), 17 studies, 1948 participants, 1371 participants with ADD; ADD from DLB: sensitivity 76% (95% CI 0.69 to 0.82), specificity 67% (95% CI 0.52 to 0.79), nine studies, 1929 participants, 1521 participants with ADD. Across all dementia subtypes, sensitivity was greater than specificity, and the balance of sensitivity and specificity was dependent on the threshold used to define test positivity. AUTHORS' CONCLUSIONS Our review indicates that measuring ABeta42 levels in CSF may help differentiate ADD from other dementia subtypes, but the test is imperfect and tends to misdiagnose those with non-ADD as having ADD. We would caution against the use of CSF ABeta42 alone for dementia classification. However, ABeta42 may have value as an adjunct to a full clinical assessment, to aid dementia diagnosis.
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Affiliation(s)
- Michelle Kokkinou
- MRC London Institute of Medical Sciences, Imperial College London, London, UK
| | - Lucy C Beishon
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - Nadja Smailagic
- Institute of Public Health, University of Cambridge , Cambridge, UK
| | | | - Chris Hyde
- Exeter Test Group, College of Medicine and Health, University of Exeter Medical School, University of Exeter, Exeter , UK
| | - Obioha Ukoumunne
- NIHR CLAHRC South West Peninsula (PenCLAHRC), University of Exeter Medical School, Exeter, UK
| | | | - Anja Hayen
- Department of Psychology and Clinical Language Sciences, University of Reading, Reading, UK
| | - Meera Desai
- Department of Experimental Psychology, University of Oxford, Oxford, UK
| | - Abhishekh Hulegar Ashok
- MRC London Institute of Medical Sciences, Imperial College London, London, UK
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College , London, UK
| | - Eleanor J Paul
- MRC London Institute of Medical Sciences, Imperial College London, London, UK
- Institute of Clinical Sciences (ICS), Faculty of Medicine, Imperial College London, London, UK
| | | | - Tiziana Casoli
- Center for Neurobiology of Aging, IRCCS INRCA, Ancona, Italy
| | - Terry J Quinn
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Craig W Ritchie
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
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Sabbatinelli J, Ramini D, Giuliani A, Recchioni R, Spazzafumo L, Olivieri F. Connecting vascular aging and frailty in Alzheimer's disease. Mech Ageing Dev 2021; 195:111444. [PMID: 33539904 DOI: 10.1016/j.mad.2021.111444] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 01/05/2021] [Accepted: 01/26/2021] [Indexed: 12/15/2022]
Abstract
Aging plays an important role in the etiology of the most common age-related diseases (ARDs), including Alzheimer's disease (AD). The increasing number of AD patients and the lack of disease-modifying drugs warranted intensive research to tackle the pathophysiological mechanisms underpinning AD development. Vascular aging/dysfunction is a common feature of almost all ARDs, including cardiovascular (CV) diseases, diabetes and AD. To this regard, interventions aimed at modifying CV outcomes are under extensive investigation for their pleiotropic role in ameliorating and slowing down cognitive impairment in middle-life and elderly individuals. Evidence from observational and clinical studies confirm the notion that the earlier the interventions are conducted, the most favorable are the effects on cognitive function. Therefore, epidemiological research should focus on the early detection of deviations from a healthy cognitive aging trajectory, through the stratification of adult individuals according to the rate of aging. Here, we review the interplay between vascular and cognitive dysfunctions associated with aging, to disentangle the complex mechanisms underpinning the development and progression of neurodegenerative disorders, with a specific focus on AD.
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Affiliation(s)
- Jacopo Sabbatinelli
- Department of Clinical and Molecular Sciences, Università Politecnica delle Marche, Ancona, Italy
| | - Deborah Ramini
- Department of Clinical and Molecular Sciences, Università Politecnica delle Marche, Ancona, Italy
| | - Angelica Giuliani
- Department of Clinical and Molecular Sciences, Università Politecnica delle Marche, Ancona, Italy.
| | - Rina Recchioni
- Center of Clinical Pathology and Innovative Therapy, IRCCS INRCA, Ancona, Italy
| | - Liana Spazzafumo
- Epidemiologic Observatory, Regional Health Agency, Regione Marche, Ancona, Italy
| | - Fabiola Olivieri
- Department of Clinical and Molecular Sciences, Università Politecnica delle Marche, Ancona, Italy; Center of Clinical Pathology and Innovative Therapy, IRCCS INRCA, Ancona, Italy
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11
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Zhang J, Sun P, Zhou C, Zhang X, Ma F, Xu Y, Hamblin MH, Yin K. Regulatory microRNAs and vascular cognitive impairment and dementia. CNS Neurosci Ther 2020; 26:1207-1218. [PMID: 33459504 PMCID: PMC7702235 DOI: 10.1111/cns.13472] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 10/20/2020] [Accepted: 10/21/2020] [Indexed: 12/11/2022] Open
Abstract
Vascular cognitive impairment and dementia (VCID) is defined as a progressive dementia disease related to cerebrovascular injury and often occurs in aged populations. Despite decades of research, effective treatment for VCID is still absent. The pathological processes of VCID are mediated by the molecular mechanisms that are partly modulated at the post-transcriptional level. As small endogenous non-coding RNAs, microRNAs (miRs) can regulate target gene expression through post-transcriptional gene silencing. miRs have been reported to play an important role in the pathology of VCID and have recently been suggested as potential novel pharmacological targets for the development of new diagnosis and treatment strategies in VCID. In this review, we summarize the current understanding of VCID, the possible role of miRs in the regulation of VCID and attempt to envision future therapeutic strategies. Since manipulation of miR levels by either pharmacological or genetic approaches has shown therapeutic effects in experimental VCID models, we also emphasize the potential therapeutic value of miRs in clinical settings.
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Affiliation(s)
- Jing Zhang
- Department of NeurologyPittsburgh Institute of Brain Disorders & RecoveryUniversity of Pittsburgh School of MedicinePittsburghPAUSA
| | - Ping Sun
- Department of NeurologyPittsburgh Institute of Brain Disorders & RecoveryUniversity of Pittsburgh School of MedicinePittsburghPAUSA
| | - Chao Zhou
- Department of NeurologyPittsburgh Institute of Brain Disorders & RecoveryUniversity of Pittsburgh School of MedicinePittsburghPAUSA
| | - Xuejing Zhang
- Department of NeurologyPittsburgh Institute of Brain Disorders & RecoveryUniversity of Pittsburgh School of MedicinePittsburghPAUSA
| | - Feifei Ma
- Department of NeurologyPittsburgh Institute of Brain Disorders & RecoveryUniversity of Pittsburgh School of MedicinePittsburghPAUSA
| | - Yang Xu
- Department of NeurologyPittsburgh Institute of Brain Disorders & RecoveryUniversity of Pittsburgh School of MedicinePittsburghPAUSA
| | - Milton H. Hamblin
- Department of PharmacologyTulane University School of MedicineNew OrleansLAUSA
| | - Ke‐Jie Yin
- Department of NeurologyPittsburgh Institute of Brain Disorders & RecoveryUniversity of Pittsburgh School of MedicinePittsburghPAUSA
- Geriatric ResearchEducation and Clinical CenterVeterans Affairs Pittsburgh Healthcare SystemPittsburghPAUSA
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12
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Ramani S, Berard JA, Walker LAS. The relationship between neurofilament light chain and cognition in neurological disorders: A scoping review. J Neurol Sci 2020; 420:117229. [PMID: 33243431 DOI: 10.1016/j.jns.2020.117229] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 10/29/2020] [Accepted: 11/16/2020] [Indexed: 12/19/2022]
Abstract
Neurofilament light chain (NfL) is an emerging biomarker of neural degeneration. NfL is an integral component of axons and is released into the bloodstream and cerebrospinal fluid during neurodegeneration; hence it can be used to monitor disease progression. Given that several neurological disorders are accompanied by cognitive decline, recent literature has investigated the relationship between NfL levels and cognition. The objective of this scoping review was to determine whether a consistent relationship between NfL and cognition exists in the context of variable degrees of neurodegeneration present across several neurological disorders. Four electronic databases were searched for relevant articles and 160 articles were initially identified. After article screening, 37 studies met the final inclusion criteria. Studies were then qualitatively synthesized to determine the relationship between NfL and cognition across a variety of neurological disorders. The large majority of studies found that NfL levels are inversely correlated with cognition, such that higher NfL levels are associated with poorer cognition. This relationship was not universal, however, and this discrepancy was speculated to be due to the nature of the neurological disorder, individual differences between participants, or methodological inconsistencies. Further study is required, and associated recommendations were proposed for the design of future investigations.
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Affiliation(s)
| | | | - Lisa A S Walker
- The Ottawa Hospital Research Institute, Ottawa, Canada; The University of Ottawa Brain and Mind Research Institute, Ottawa, Canada; Carleton University, Ottawa, Canada
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13
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Miceli V, Russelli G, Iannolo G, Gallo A, Lo Re V, Agnese V, Sparacia G, Conaldi PG, Bulati M. Role of non-coding RNAs in age-related vascular cognitive impairment: An overview on diagnostic/prognostic value in Vascular Dementia and Vascular Parkinsonism. Mech Ageing Dev 2020; 191:111332. [PMID: 32805261 DOI: 10.1016/j.mad.2020.111332] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 07/23/2020] [Accepted: 07/28/2020] [Indexed: 02/07/2023]
Abstract
Age is the pivotal risk factor for different common medical conditions such as cardiovascular diseases, cancer and dementia. Among age-related disorders, cardiovascular and cerebrovascular diseases, represent the leading causes of premature mortality strictly related to vascular ageing, a pathological condition characterized by endothelial dysfunction, atherosclerosis, hypertension, heart disease and stroke. These features negatively impact on the brain, owing to altered cerebral blood flow, neurovascular coupling and impaired endothelial permeability leading to cerebrovascular diseases (CVDs) as Vascular Dementia (VD) and Parkinsonism (VP). It is an increasing opinion that neurodegenerative disorders and cerebrovascular diseases are associated from a pathogenetic point of view, and in this review, we discuss how cerebrovascular dysfunctions, due to epigenetic alterations, are linked with neuronal degeneration/dysfunction that lead to cognitive impairment. The relation between neurodegenerative and cerebrovascular diseases are reviewed with a focus on role of ncRNAs in age-related vascular diseases impairing the endothelium in the blood-brain barrier with consequent dysfunction of cerebral blood flow. In this review we dissert about different regulatory mechanisms of gene expression implemented by ncRNAs in the pathogenesis of age-related neurovascular impairment, aiming to highlight the potential use of ncRNAs as biomarkers for diagnostic/prognostic purposes as well as novel therapeutic targets.
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Affiliation(s)
- V Miceli
- Research Department, Mediterranean Institute for Transplantation and Advanced Specialized Therapies (IRCCS ISMETT), Palermo, Italy
| | - G Russelli
- Research Department, Mediterranean Institute for Transplantation and Advanced Specialized Therapies (IRCCS ISMETT), Palermo, Italy
| | - G Iannolo
- Research Department, Mediterranean Institute for Transplantation and Advanced Specialized Therapies (IRCCS ISMETT), Palermo, Italy
| | - A Gallo
- Research Department, Mediterranean Institute for Transplantation and Advanced Specialized Therapies (IRCCS ISMETT), Palermo, Italy
| | - V Lo Re
- Neurology Service, Department of Diagnostic and Therapeutic Services, Mediterranean Institute for Transplantation and Advanced Specialized Therapies (IRCCS ISMETT), Palermo, Italy
| | - V Agnese
- Research Department, Mediterranean Institute for Transplantation and Advanced Specialized Therapies (IRCCS ISMETT), Palermo, Italy
| | - G Sparacia
- Radiology Service, Department of Diagnostic and Therapeutic Services, Mediterranean Institute for Transplantation and Advanced Specialized Therapies (IRCCS ISMETT), Palermo, Italy
| | - P G Conaldi
- Research Department, Mediterranean Institute for Transplantation and Advanced Specialized Therapies (IRCCS ISMETT), Palermo, Italy
| | - M Bulati
- Research Department, Mediterranean Institute for Transplantation and Advanced Specialized Therapies (IRCCS ISMETT), Palermo, Italy.
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14
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Wei W, Wang ZY, Ma LN, Zhang TT, Cao Y, Li H. MicroRNAs in Alzheimer's Disease: Function and Potential Applications as Diagnostic Biomarkers. Front Mol Neurosci 2020; 13:160. [PMID: 32973449 PMCID: PMC7471745 DOI: 10.3389/fnmol.2020.00160] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Accepted: 08/05/2020] [Indexed: 12/14/2022] Open
Abstract
Alzheimer’s disease (AD) is the most common form of dementia. Although the incidence of AD is high, the rates of diagnosis and treatment are relatively low. Moreover, effective means for the diagnosis and treatment of AD are still lacking. MicroRNAs (miRNAs, miRs) are non-coding RNAs that play regulatory roles by targeting mRNAs. The expression of miRNAs is conserved, temporal, and tissue-specific. Impairment of microRNA function is closely related to AD pathogenesis, including the beta-amyloid and tau hallmarks of AD, and there is evidence that the expression of some microRNAs differs significantly between healthy people and AD patients. These properties of miRNAs endow them with potential diagnostic and therapeutic value in the treatment of this debilitating disease. This review provides comprehensive information about the regulatory function of miRNAs in AD, as well as potential applications as diagnostic biomarkers.
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Affiliation(s)
- Wei Wei
- First Clinical College, Shandong University of Traditional Chinese Medicine, Jinan, China.,Department of Geriatrics, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Zhi-Yong Wang
- Department of Geriatrics, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Li-Na Ma
- Department of Geriatrics, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Ting-Ting Zhang
- First Clinical College, Shandong University of Traditional Chinese Medicine, Jinan, China.,Department of Geriatrics, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yu Cao
- Department of Geriatrics, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Hao Li
- Department of Geriatrics, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
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15
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Yuan Y, Liu Y, Gong L, Chen H, Zhang S, Kitayama A, Takashi E, Liang J. Demand Analysis of Telenursing for Community-Dwelling Empty-Nest Elderly Based on the Kano Model. Telemed J E Health 2020; 27:414-421. [PMID: 32486912 DOI: 10.1089/tmj.2020.0037] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Background: In recent years, the increasing number of empty-nest elderly has become a significant global social problem, and the rapid development of medical technology and information technology has improved the feasibility of telenursing. However, few studies have been conducted on needs of telenursing among the empty-nest elderly. The aim of this study is to explore the needs of telenursing for community-dwelling empty-nest elderly who are completely independent in activities of daily living (ADL), or who are mildly disabled, and to provide a reference for improving the remote care quality. Methods: A questionnaire survey aiming to explore telenursing needs of the elderly was conducted among 268 community-dwelling empty-nest elderly who were selected using random sampling and then data were analyzed based on the Kano Model. Results: Chi-square goodness-of-fit test showed that there were significant differences between actual and expected counts for each item of telenursing needs (p < 0.01 for all), indicating that the sample had specific individual preference for the Kano category. The desired degree of telenursing service ranged from 48.37% to 80.86%, the better values (satisfaction) were between 57.09% and 67.56%, and the worse values (dissatisfaction) were between 11.92% and 37.93%. The items, remote one-button emergency caller and remote emergency assistance arrangement, were considered to be one-dimensional qualities by empty nesters and the rest were attractive qualities. In the quadrant analysis diagram, all the remote care services were categorized as attractive qualities. Discussion: The community-dwelling empty-nest elderly with ADL independence or mild impairment have positive attitudes toward telenursing services, especially the needs of remote first aid nursing. Medical policy makers and nursing managers can provide targeted telenursing services according to empty nesters' requirements, thus improving nursing care quality and satisfaction of the elderly.
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Affiliation(s)
- Yuan Yuan
- Medical Nursing Office, School of Nursing, Yangzhou University, Yangzhou, China.,Nagano College of Nursing, Komagane, Japan
| | - Yulu Liu
- School of Nursing, Yangzhou University, Yangzhou, China
| | - Lei Gong
- School of Nursing, Yangzhou University, Yangzhou, China
| | - Hongmei Chen
- School of Nursing, Yangzhou University, Yangzhou, China
| | - Song Zhang
- School of Nursing, Yangzhou University, Yangzhou, China
| | - Akio Kitayama
- Division of Satoyama Nursing and Telecare, Nagano College of Nursing, Komagane, Japan
| | - En Takashi
- Division of Basic & Clinical Medicine, Nagano College of Nursing, Komagane, Japan
| | - Jingyan Liang
- Institute of Translational Medicine, Medical College, Yangzhou University, Yangzhou, China
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16
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Yuan M, Bi X. Therapeutic and Diagnostic Potential of microRNAs in Vascular Cognitive Impairment. J Mol Neurosci 2020; 70:1619-1628. [DOI: 10.1007/s12031-020-01597-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Accepted: 05/14/2020] [Indexed: 12/19/2022]
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17
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Jin M, Cao L, Dai YP. Role of Neurofilament Light Chain as a Potential Biomarker for Alzheimer's Disease: A Correlative Meta-Analysis. Front Aging Neurosci 2019; 11:254. [PMID: 31572170 PMCID: PMC6753203 DOI: 10.3389/fnagi.2019.00254] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Accepted: 08/27/2019] [Indexed: 12/31/2022] Open
Abstract
Neurofilament light (NFL) is a putative biomarker of neurodegeneration. This study evaluates the correlative association of NFL with Alzheimer's disease (AD) indices. Relevant studies were identified after a literature search in electronic databases and study selection was based on pre-determined eligibility criteria. Correlation coefficients between NFL levels and important AD indices reported by individual studies were pooled as z-scores. Meta-regression analyses were performed to evaluate the relationships between important covariates. Data from 38 studies (age 68.3 years [95% confidence interval (CI): 65.7, 70.9]; 54 % [95% CI: 50, 57] females) were used. Meta-analyses of correlation coefficients reported by the included studies showed that NFL levels in blood and cerebrospinal fluid (CSF) correlated well (r = 0.59 [95% CI: 0.45, 0.71]; p < 0.0001). NFL levels correlated with MMSE score (r = −0.345 [95% CI: −0.43, −0.25]; p = 0.0001), and age (r = 0.485 [95% CI: 0.35, 0.61]; p = 0.00001). CSF NFL levels correlated with total tau (t-tau; r = 0.39 [95% CI: 0.27, 0.50]; p = 0.0001), phosphorylated tau (p-tau; r = 0.34 [95% CI: 0.19, 0.47]; p = 0.00001), and neurogranin (r = 0.25 [95% CI: 0.12, 0.37]; p = 0.001) but not with beta amyloid (Aβ) (r = 0.00 [95%CI: −0.13, 0.12]; p = 0.937). In meta-regression, MMSE scores were associated inversely with blood NFL (metaregression coefficient (MC) −0.236 [95% CI:−0.40, −0.072; p = 0.008), and age (MC) −0.235 [−0.36, −0.11]; p = 0.001) and positively with CSF Aβ-42 (MC 0.017 [0.010, 0.023]; p = 0.00001). NFL has good correlations with t-tau, and p-tau in CSF and CSF NFL levels correlates well with blood NFL levels. These results show that NFL can be a useful biomarker for improving diagnosis and predicting prognosis in AD patients especially if age weighted.
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Affiliation(s)
- Mei Jin
- Department of Neurology, Nangang Branch, Heilongjiang Provincial Hospital, Harbin, China
| | - Li Cao
- Department of Neurology, Nangang Branch, Heilongjiang Provincial Hospital, Harbin, China
| | - Yan-Ping Dai
- Department of Neurology, Nangang Branch, Heilongjiang Provincial Hospital, Harbin, China
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18
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Herrera-Espejo S, Santos-Zorrozua B, Álvarez-González P, Lopez-Lopez E, Garcia-Orad Á. A Systematic Review of MicroRNA Expression as Biomarker of Late-Onset Alzheimer's Disease. Mol Neurobiol 2019; 56:8376-8391. [PMID: 31240600 DOI: 10.1007/s12035-019-01676-9] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Accepted: 06/09/2019] [Indexed: 12/11/2022]
Abstract
Late-onset Alzheimer's disease (LOAD) is a high-occurrence neurological disorder but the difficulty in identifying precise and early biomarkers has complicated the understanding of the disease and the development of new treatments. In this sense, important knowledge is emerging regarding novel molecular and biological candidates with diagnostic potential, including microRNAs (miRNAs), which have a key role in gene repression. The aim of this systematic review was to define the role of miRNAs' expression as biomarkers for LOAD both in brain tissues, which could help understand the biology of the disease, and circulating tissues, which could serve as non-invasive markers of the pathology. A systematic search was performed in Web of Science and PubMed using the keywords ((Alzheimer or Alzheimer's) and (microRNA or microRNAs or miRNA or miRNAs or miR)) until August 2018 to retrieve all articles that presented independent original data evaluating the impact of miRNA expression on the development of LOAD in human population. A total of 90 studies investigating the role of miRNAs' expression in the development of LOAD were identified. While other widely studied miRNAs such as hsa-miR-146a presented contradictory results among studies, deregulation in brain tissue of seven miRNAs, hsa-miR-16-5p, hsa-miR-34a-5p, hsa-miR-107, hsa-miR-125-5p, hsa-miR-132-3p, hsa-miR-181-3p, and hsa-miR-212-3p, was consistently identified in LOAD patients. Their role in the disease could be mediated through the regulation of key pathways, such as axon guidance, longevity, insulin, and MAPK signaling pathway. However, regarding their role as non-invasive biomarkers of LOAD in fluids, although the limited results available are promising, further studies are required.
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Affiliation(s)
- Soraya Herrera-Espejo
- Department of Genetics, Physical Anthropology and Animal Physiology, Faculty of Medicine and Nursing, University of The Basque Country (UPV/EHU), Barrio Sarriena s/n, 48940, Leioa, Spain
| | - Borja Santos-Zorrozua
- Department of Genetics, Physical Anthropology and Animal Physiology, Faculty of Medicine and Nursing, University of The Basque Country (UPV/EHU), Barrio Sarriena s/n, 48940, Leioa, Spain
| | - Paula Álvarez-González
- Department of Genetics, Physical Anthropology and Animal Physiology, Faculty of Medicine and Nursing, University of The Basque Country (UPV/EHU), Barrio Sarriena s/n, 48940, Leioa, Spain
| | - Elixabet Lopez-Lopez
- Department of Genetics, Physical Anthropology and Animal Physiology, Faculty of Medicine and Nursing, University of The Basque Country (UPV/EHU), Barrio Sarriena s/n, 48940, Leioa, Spain.
- BioCruces Bizkaia Health Research Institute, Barakaldo, Spain.
| | - África Garcia-Orad
- Department of Genetics, Physical Anthropology and Animal Physiology, Faculty of Medicine and Nursing, University of The Basque Country (UPV/EHU), Barrio Sarriena s/n, 48940, Leioa, Spain
- BioCruces Bizkaia Health Research Institute, Barakaldo, Spain
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