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Rajendran K, Krishnan UM. Biomarkers in Alzheimer's disease. Clin Chim Acta 2024; 562:119857. [PMID: 38986861 DOI: 10.1016/j.cca.2024.119857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Revised: 07/05/2024] [Accepted: 07/06/2024] [Indexed: 07/12/2024]
Abstract
Alzheimer's disease (AD) is among the most common neurodegenerative disorders. AD is characterized by deposition of neurofibrillary tangles and amyloid plaques, leading to associated secondary pathologies, progressive neurodegeneration, and eventually death. Currently used diagnostics are largely image-based, lack accuracy and do not detect early disease, ie, prior to onset of symptoms, thus limiting treatment options and outcomes. Although biomarkers such as amyloid-β and tau protein in cerebrospinal fluid have gained much attention, these are generally limited to disease progression. Unfortunately, identification of biomarkers for early and accurate diagnosis remains a challenge. As such, body fluids such as sweat, serum, saliva, mucosa, tears, and urine are under investigation as alternative sources for biomarkers that can aid in early disease detection. This review focuses on biomarkers identified through proteomics in various biofluids and their potential for early and accurate diagnosis of AD.
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Affiliation(s)
- Kayalvizhi Rajendran
- Centre for Nanotechnology & Advanced Biomaterials, SASTRA Deemed University, Thanjavur, India; School of Chemical & Biotechnology, SASTRA Deemed University, Thanjavur, India
| | - Uma Maheswari Krishnan
- Centre for Nanotechnology & Advanced Biomaterials, SASTRA Deemed University, Thanjavur, India; School of Arts, Sciences, Humanities, & Education, SASTRA Deemed University, Thanjavur, India.
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Wang Y, Xue YF, Xu YF, Wang MW, Guan J, Chen X. Elevated serum neurofilament light chain levels are associated with hepatic encephalopathy in patients with cirrhosis. Metab Brain Dis 2024:10.1007/s11011-024-01381-0. [PMID: 38995495 DOI: 10.1007/s11011-024-01381-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2024] [Accepted: 07/05/2024] [Indexed: 07/13/2024]
Abstract
Increasing evidences implicate vital role of neuronal damage in the development of hepatic encephalopathy (HE). Neurofilament light chain (NfL) is the main frame component of neurons and is closely related to axonal radial growth and neuronal structural stability. We hypothesized that NfL as a biomarker of axonal injury may contribute to early diagnosis of HE. This study recruited 101 patients with liver cirrhosis, 10 healthy individuals, and 7 patients with Parkinson's disease. Minimal hepatic encephalopathy (MHE) was diagnosed using psychometric hepatic encephalopathy score. Serum NfL levels were measured by the electrochemiluminescence immunoassay. Serum NfL levels in cirrhotic patients with MHE were significantly higher than cirrhotic patients without MHE, and increased accordingly with the aggravation of HE. Serum NfL levels were associated with psychometric hepatic encephalopathy score, Child-Pugh score, model for end-stage liver disease score, and days of hospitalization. Additionally, serum NfL was an independent predictor of MHE (odds ratio of 1.020 (95% CI 1.005-1.034); P = 0.007). The discriminative abilities of serum NfL were high for identifying MHE (AUC of 0.8134 (95% CI 0.7130-0.9219); P ˂ 0.001) and OHE (AUC of 0.8852 (95% CI 0.8117-0.9587); P ˂ 0.001). Elevated serum NfL levels correlated with the presence of MHE and associated with the severity of HE, are expected to be a biomarker in patients with cirrhosis. Our study suggested that neuronal damage may play a critical role in the development of HE.
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Affiliation(s)
- Yan Wang
- Department of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, 230022, China
- Anhui Provincial Key Laboratory of Digestive Disease, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, China
| | - Yu-Feng Xue
- Department of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, 230022, China
- Anhui Provincial Key Laboratory of Digestive Disease, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, China
| | - Yi-Fan Xu
- Department of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, 230022, China
- Anhui Provincial Key Laboratory of Digestive Disease, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, China
| | - Ming-Wei Wang
- Department of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, 230022, China
- Anhui Provincial Key Laboratory of Digestive Disease, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, China
| | - Jing Guan
- Department of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, 230022, China.
- Anhui Provincial Key Laboratory of Digestive Disease, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, China.
| | - Xi Chen
- Department of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, 230022, China.
- Anhui Provincial Key Laboratory of Digestive Disease, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, China.
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Nasr-Eldin YK, Cartwright MS, Hamed A, Ali LH, Abdel-Nasser AM. Evaluation of Serum Neurofilament Light Chain and Nerve Ultrasound in Diabetic Neuropathy. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2024; 43:683-696. [PMID: 38124499 DOI: 10.1002/jum.16393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 11/14/2023] [Accepted: 11/28/2023] [Indexed: 12/23/2023]
Abstract
OBJECTIVE To assess the role of serum neurofilament light chain (NfL) levels in individuals with diabetic polyneuropathy (DPN) compared with controls, as well as to highlight the different sonographic changes in DPN and determine if NfL correlates with sonographic, clinical, and functional parameters. METHODS Diabetic individuals with signs or symptoms consistent with peripheral nerve involvement were recruited. They were evaluated by examination, functional neuropathy severity scores, laboratory assessments (including NfL), nerve conduction studies (NCS), and ultrasound. Ultrasound was performed of the bilateral median, ulnar, tibial, fibular, sural, and vagus nerves, and cervical roots 5 and 6. Results were compared with age, sex, and body mass index matched healthy controls. RESULTS A total of 320 nerves from 20 patients and 480 nerves from 30 controls were evaluated. NfL was significantly elevated in those with diabetes with a mean and standard deviation of 6.95 ± 2.95 pg/mL in the diabetic group and 2.83 ± 0.77 pg/mL in controls (P < .001). Nerve cross-sectional area and serum NfL levels correlated significantly with clinical and functional parameters and with each other (P < .05). CONCLUSION Individuals with DPN have significantly higher NfL levels than healthy controls, and NfL levels correlate with ultrasonographic parameters. These findings may be useful for the diagnosis, prognosis, and disease monitoring of those with DPN, though further exploration is needed.
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Affiliation(s)
| | - Michael S Cartwright
- Neurology Department, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Ahmed Hamed
- Rheumatology and Rehabilitation Department, Minia University, Minya, Egypt
| | - Lamia Hamdy Ali
- Clinical Pathology Department, Minia University, Minya, Egypt
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Durmaz Celik N, Ozben S, Ozben T. Unveiling Parkinson's disease through biomarker research: current insights and future prospects. Crit Rev Clin Lab Sci 2024:1-17. [PMID: 38529882 DOI: 10.1080/10408363.2024.2331471] [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: 09/04/2023] [Accepted: 03/13/2024] [Indexed: 03/27/2024]
Abstract
Parkinson's disease (PD) is a neurodegenerative condition marked by the gradual depletion of dopaminergic neurons in the substantia nigra. Despite substantial strides in comprehending potential causative mechanisms, the validation of biomarkers with unequivocal evidence for routine clinical application remains elusive. Consequently, the diagnosis heavily relies on patients' clinical assessments and medical backgrounds. The imperative need for diagnostic and prognostic biomarkers arises due to the prevailing limitations of treatments, which predominantly address symptoms without modifying the disease course. This comprehensive review aims to elucidate the existing landscape of diagnostic and prognostic biomarkers for PD, drawing insights from contemporary literature.
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Affiliation(s)
- Nazlı Durmaz Celik
- Department of Neurology, Eskisehir Osmangazi University Faculty of Medicine, Eskisehir, Turkey
| | - Serkan Ozben
- Department of Neurology, University of Health Sciences, Antalya Training and Research Hospital, Antalya, Turkey
| | - Tomris Ozben
- Department of Medical Biochemistry, Medical Faculty, Akdeniz University, Antalya, Turkey
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Lombardi G, Baccini M, Gualerzi A, Pancani S, Campagnini S, Doronzio S, Longo D, Maselli A, Cherubini G, Piazzini M, Ciapetti T, Polito C, Pinna S, De Santis C, Bedoni M, Macchi C, Ramat S, Cecchi F. Comparing the effects of augmented virtual reality treadmill training versus conventional treadmill training in patients with stage II-III Parkinson's disease: the VIRTREAD-PD randomized controlled trial protocol. Front Neurol 2024; 15:1338609. [PMID: 38327625 PMCID: PMC10847255 DOI: 10.3389/fneur.2024.1338609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 01/09/2024] [Indexed: 02/09/2024] Open
Abstract
Background Intensive treadmill training (TT) has been documented to improve gait parameters and functional independence in Parkinson's Disease (PD), but the optimal intervention protocol and the criteria for tailoring the intervention to patients' performances are lacking. TT may be integrated with augmented virtual reality (AVR), however, evidence of the effectiveness of this combined treatment is still limited. Moreover, prognostic biomarkers of rehabilitation, potentially useful to customize the treatment, are currently missing. The primary aim of this study is to compare the effects on gait performances of TT + AVR versus TT alone in II-III stage PD patients with gait disturbance. Secondary aims are to assess the effects on balance, gait parameters and other motor and non-motor symptoms, and patient's satisfaction and adherence to the treatment. As an exploratory aim, the study attempts to identify biomarkers of neuroplasticity detecting changes in Neurofilament Light Chain concentration T0-T1 and to identify prognostic biomarkers associated to blood-derived Extracellular Vesicles. Methods Single-center, randomized controlled single-blind trial comparing TT + AVR vs. TT in II-III stage PD patients with gait disturbances. Assessment will be performed at baseline (T0), end of training (T1), 3 (T2) and 6 months (T3, phone interview) from T1. The primary outcome is difference in gait performance assessed with the Tinetti Performance-Oriented Mobility Assessment gait scale at T1. Secondary outcomes are differences in gait performance at T2, in balance and spatial-temporal gait parameters at T1 and T2, patients' satisfaction and adherence. Changes in falls, functional mobility, functional autonomy, cognition, mood, and quality of life will be also assessed at different timepoints. The G*Power software was used to estimate a sample size of 20 subjects per group (power 0.95, α < 0.05), raised to 24 per group to compensate for potential drop-outs. Both interventions will be customized and progressive, based on the participant's performance, according to a predefined protocol. Conclusion This study will provide data on the possible superiority of AVR-associated TT over conventional TT in improving gait and other motor and non-motor symptoms in persons with PD and gait disturbances. Results of the exploratory analysis could add information in the field of biomarker research in PD rehabilitation.
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Affiliation(s)
- Gemma Lombardi
- Department of Neurosciences, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence, Italy
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Florence, Italy
| | - Marco Baccini
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Florence, Italy
| | | | - Silvia Pancani
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Florence, Italy
| | | | - Stefano Doronzio
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Florence, Italy
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Diego Longo
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Florence, Italy
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Alessandro Maselli
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Florence, Italy
- Department of Technical-Health Professions, Rehabilitation, and Prevention, Campostaggia Hospital, Poggibonsi (SI), USL Toscana Sudest, Italy
| | - Giulio Cherubini
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Florence, Italy
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | | | | | | | - Samuele Pinna
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Florence, Italy
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Chiara De Santis
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Marzia Bedoni
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Milan, Italy
| | - Claudio Macchi
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Florence, Italy
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Silvia Ramat
- Parkinson Unit, Department of NeuroMuscular-Skeletal and Sensorial Organs, AOU Careggi, Florence, Italy
| | - Francesca Cecchi
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Florence, Italy
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
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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] [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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Hwang YS, Oh E, Kim M, Lee CY, Kim HS, Chung SJ, Sung YH, Yoon WT, Cho JH, Lee JH, Kim HJ, Chang HJ, Jeon B, Woo KA, Ko SB, Kwon KY, Moon J, Shin C, Kim YE, Lee JY. Plasma neurofilament light-chain and phosphorylated tau as biomarkers of disease severity in Huntington's disease: Korean cohort data. J Neurol Sci 2023; 452:120744. [PMID: 37541133 DOI: 10.1016/j.jns.2023.120744] [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: 01/07/2023] [Revised: 06/23/2023] [Accepted: 07/26/2023] [Indexed: 08/06/2023]
Abstract
OBJECTIVE To investigate neurofilament light chain (NfL), phosphorylated tau (p-Tau) and total tau (t-Tau) as plasma markers for clinical severity in Korean Huntington's disease (HD) cohort. METHODS Genetically-confirmed 67 HD patients participated from 13 referral hospitals in South Korea. The subjects were evaluated with the Unified Huntington's Disease Rating Scale (UHDRS), total motor score (TMS) and total functional capacity (TFC), Mini-Mental Status Examination (K-MMSE), Montreal Cognitive Assessment (MoCA-K), and Beck's depression inventory (K-BDI). We measured plasma NfL, p-Tau and t-Tau concentrations using single-molecule array (SIMOA) assays. Stages of HD were classified based on UHDRS-TFC score and plasma markers were analyzed for correlation with clinical severity scales. RESULTS Plasma NfL was elevated in both 6 premanifest and 61 full manifest HD patients compared to the reference value, which increased further from premanifest to manifest HD groups. The NfL level was not significantly correlated with UHDRS TMS or TFC scores in manifest HD patients. Plasma p-Tau was also elevated in HD patients (p = 0.038). The level was the highest in stage III-V HD (n = 30) group (post-hoc p < 0.05). The p-Tau was correlated with UHDRS TFC scores (adjusted p = 0.002). Plasma t-Tau neither differed among the groups nor associated with any clinical variables. CONCLUSIONS This study supports plasma NfL being a biomarker for initial HD manifestation in Korean cohort, and a novel suggestion of plasma p-Tau as a potential biomarker reflecting the clinical severity in full-manifest HD.
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Affiliation(s)
- Yun Su Hwang
- Department of Neurology, Jeonbuk National University Medical School and Hospital & Research Institute of Clinical Medicine of Jeonbuk National University - Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
| | - Eungseok Oh
- Department of Neurology, Chungnam National University College of Medicine and Hospital, Daejeon, Republic of Korea
| | - Manho Kim
- Department of Neurology, Seoul National University Hospital & Dementia and Neuroscience Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Chan Young Lee
- Department of Neurology, Ewha Womans University Mokdong Hospital, Ewha Womans University, College of Medicine, Seoul, Republic of Korea
| | - Hyun Sook Kim
- Department of Neurology, Bundang Medical Center, CHA university School of Medicine, Seongnam, Republic of Korea
| | - Sun Ju Chung
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Young Hee Sung
- Department of Neurology, Gil Medical Center, Gachon University College of Medicine, Incheon, Republic of Korea
| | - Won Tae Yoon
- Department of Neurology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Jin Hwan Cho
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Jae-Hyeok Lee
- Department of Neurology, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Pusan, Republic of Korea
| | - Han-Joon Kim
- Department of Neurology, Movement Disorders Center, Seoul National University Hospital & Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hee Jin Chang
- Department of Neurology, Movement Disorders Center, Seoul National University Hospital & Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Neurology, Seoul National University College of Medicine & Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Republic of Korea
| | - Beomseok Jeon
- Department of Neurology, Movement Disorders Center, Seoul National University Hospital & Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Kyung Ah Woo
- Department of Neurology, Movement Disorders Center, Seoul National University Hospital & Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Neurology, Seoul National University College of Medicine & Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Republic of Korea
| | - Seong Beom Ko
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Kyum-Yil Kwon
- Department of Neurology, Soonchunhyang University Seoul Hospital, Seoul, Republic of Korea
| | - Jangsup Moon
- Department of Neurology, Seoul National University Hospital & Dementia and Neuroscience Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Genomic Medicine, College of medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Chaewon Shin
- Department of Neurology, Chungnam National University Sejong Hospital, Sejong, Republic of Korea; Chungnam National University College of Medicine, Daejon, Republic of Korea
| | - Young Eun Kim
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Republic of Korea
| | - Jee-Young Lee
- Department of Neurology, Seoul National University College of Medicine & Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Republic of Korea.
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Lapp HS, Freigang M, Hagenacker T, Weiler M, Wurster CD, Günther R. Biomarkers in 5q-associated spinal muscular atrophy-a narrative review. J Neurol 2023; 270:4157-4178. [PMID: 37289324 PMCID: PMC10421827 DOI: 10.1007/s00415-023-11787-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 05/15/2023] [Accepted: 05/16/2023] [Indexed: 06/09/2023]
Abstract
5q-associated spinal muscular atrophy (SMA) is a rare genetic disease caused by mutations in the SMN1 gene, resulting in a loss of functional SMN protein and consecutive degeneration of motor neurons in the ventral horn. The disease is clinically characterized by proximal paralysis and secondary skeletal muscle atrophy. New disease-modifying drugs driving SMN gene expression have been developed in the past decade and have revolutionized SMA treatment. The rise of treatment options led to a concomitant need of biomarkers for therapeutic guidance and an improved disease monitoring. Intensive efforts have been undertaken to develop suitable markers, and numerous candidate biomarkers for diagnostic, prognostic, and predictive values have been identified. The most promising markers include appliance-based measures such as electrophysiological and imaging-based indices as well as molecular markers including SMN-related proteins and markers of neurodegeneration and skeletal muscle integrity. However, none of the proposed biomarkers have been validated for the clinical routine yet. In this narrative review, we discuss the most promising candidate biomarkers for SMA and expand the discussion by addressing the largely unfolded potential of muscle integrity markers, especially in the context of upcoming muscle-targeting therapies. While the discussed candidate biomarkers hold potential as either diagnostic (e.g., SMN-related biomarkers), prognostic (e.g., markers of neurodegeneration, imaging-based markers), predictive (e.g., electrophysiological markers) or response markers (e.g., muscle integrity markers), no single measure seems to be suitable to cover all biomarker categories. Hence, a combination of different biomarkers and clinical assessments appears to be the most expedient solution at the time.
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Affiliation(s)
- H S Lapp
- Department of Neurology, University Hospital Carl Gustav Carus at TU Dresden, Fetscherstraße 74, 01307, Dresden, Germany
| | - M Freigang
- Department of Neurology, University Hospital Carl Gustav Carus at TU Dresden, Fetscherstraße 74, 01307, Dresden, Germany
| | - T Hagenacker
- Department of Neurology and Center for Translational Neuro- and Behavioral Science (C-TNBS), University Medicine Essen, Essen, Germany
| | - M Weiler
- Department of Neurology, Heidelberg University Hospital, Heidelberg, Germany
| | - C D Wurster
- Department of Neurology, University Hospital Ulm, Ulm, Germany
- German Center for Neurodegenerative Diseases (DZNE) Ulm, Ulm, Germany
| | - René Günther
- Department of Neurology, University Hospital Carl Gustav Carus at TU Dresden, Fetscherstraße 74, 01307, Dresden, Germany.
- German Center for Neurodegenerative Diseases (DZNE) Dresden, Dresden, Germany.
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9
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Alcolea D, Beeri MS, Rojas JC, Gardner RC, Lleó A. Blood Biomarkers in Neurodegenerative Diseases: Implications for the Clinical Neurologist. Neurology 2023; 101:172-180. [PMID: 36878698 PMCID: PMC10435056 DOI: 10.1212/wnl.0000000000207193] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 01/31/2023] [Indexed: 03/08/2023] Open
Abstract
Blood-based biomarkers offer a major advance in the clinical evaluation of neurodegenerative diseases. Currently, research studies have reported robust assays of blood markers for the detection of amyloid and tau pathologies specific to Alzheimer disease (amyloid-β peptides, and p-tau) and nonspecific blood markers of neuronal (neurofilament light, β-synuclein, and ubiquitin-C-terminal-hydrolase-L1) and glial degeneration (glial fibrillary acidic protein) that can measure key pathophysiologic processes in several neurodegenerative diseases. In the near future, these markers may be used for screening, diagnosis, or disease and treatment response monitoring. Blood-based biomarkers for neurodegenerative diseases have been rapidly implemented in research, and they have the potential to enter clinical use soon in different clinical settings. In this review, we will describe the main developments and their potential implications for the general neurologist.
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Affiliation(s)
- Daniel Alcolea
- From the Sant Pau Memory Unit (D.A., A.L.), Department of Neurology, Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Universitat Autònoma de Barcelona; Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (D.A., A.L.), CIBERNED, Madrid, Spain; Department of Psychiatry (M.S.B.), Icahn School of Medicine at Mount Sinai, New York, NY; The Joseph Sagol Neuroscience (M.S.B., R.C.G.), Center Sheba Medical Center, Tel-Hashomer, Israel; and Department of Neurology (J.C.R.), Weill Institute for Neurosciences, UCSF Memory and Aging Center, San Francisco, CA.
| | - Michal Schnaider Beeri
- From the Sant Pau Memory Unit (D.A., A.L.), Department of Neurology, Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Universitat Autònoma de Barcelona; Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (D.A., A.L.), CIBERNED, Madrid, Spain; Department of Psychiatry (M.S.B.), Icahn School of Medicine at Mount Sinai, New York, NY; The Joseph Sagol Neuroscience (M.S.B., R.C.G.), Center Sheba Medical Center, Tel-Hashomer, Israel; and Department of Neurology (J.C.R.), Weill Institute for Neurosciences, UCSF Memory and Aging Center, San Francisco, CA
| | - Julio C Rojas
- From the Sant Pau Memory Unit (D.A., A.L.), Department of Neurology, Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Universitat Autònoma de Barcelona; Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (D.A., A.L.), CIBERNED, Madrid, Spain; Department of Psychiatry (M.S.B.), Icahn School of Medicine at Mount Sinai, New York, NY; The Joseph Sagol Neuroscience (M.S.B., R.C.G.), Center Sheba Medical Center, Tel-Hashomer, Israel; and Department of Neurology (J.C.R.), Weill Institute for Neurosciences, UCSF Memory and Aging Center, San Francisco, CA
| | - Raquel C Gardner
- From the Sant Pau Memory Unit (D.A., A.L.), Department of Neurology, Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Universitat Autònoma de Barcelona; Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (D.A., A.L.), CIBERNED, Madrid, Spain; Department of Psychiatry (M.S.B.), Icahn School of Medicine at Mount Sinai, New York, NY; The Joseph Sagol Neuroscience (M.S.B., R.C.G.), Center Sheba Medical Center, Tel-Hashomer, Israel; and Department of Neurology (J.C.R.), Weill Institute for Neurosciences, UCSF Memory and Aging Center, San Francisco, CA
| | - Alberto Lleó
- From the Sant Pau Memory Unit (D.A., A.L.), Department of Neurology, Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Universitat Autònoma de Barcelona; Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (D.A., A.L.), CIBERNED, Madrid, Spain; Department of Psychiatry (M.S.B.), Icahn School of Medicine at Mount Sinai, New York, NY; The Joseph Sagol Neuroscience (M.S.B., R.C.G.), Center Sheba Medical Center, Tel-Hashomer, Israel; and Department of Neurology (J.C.R.), Weill Institute for Neurosciences, UCSF Memory and Aging Center, San Francisco, CA.
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10
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Nabizadeh F, Mohamadzadeh O, Hosseini H, Rasouli K, Afyouni NE. Serum neurofilament light chain in LRRK2 related Parkinson's disease: A five years follow-up. J Clin Neurosci 2023; 110:12-18. [PMID: 36780781 DOI: 10.1016/j.jocn.2023.01.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 12/30/2022] [Accepted: 01/31/2023] [Indexed: 02/12/2023]
Abstract
BACKGROUND Studies revealed that serum neurofilament light chain (NFL) levels not only increase considerably over time in Parkinson's disease (PD) but also have a significant association with disease progression. However, there is no evidence of the level of serum NFL in PD patients with leucine-rich repeat kinase 2 (LRRK2) mutation (LRRK2-PD) which is the most common mutation that causes familial and sporadic PD. AIM Here we aimed to investigate the difference and longitudinal alteration of the serum level of NFL in LRRK2-PD and idiopathic PD (iPD) patients. METHODS We entered 228 iPD and 103 LRRK2-PD patients and 176 healthy controls (HCs) from PPMI. We compared the level of serum NFL at baseline, six months, one year, two years, three years, and five years visits. Also, we used linear mixed models to assess longitudinal changes of serum NFL over six months, one year, two years, three years, and five years within groups. RESULTS We found a significant difference in the level of serum NFL between three groups at baseline, two years, three years, and five years time points. Also, our analysis showed that LRRK2-PD patients had significantly lower serum NFL compared to iPD subjects at baseline. In the longitudinal analysis, there was no significant change in the HCs group over five years. The level of serum NFL was significantly increased after two, three, and five years from baseline in LRRK2-PD patients. Also, we found similar results for iPD subjects after three and five years from baseline. CONCLUSION We can conclude that the overall neurodegeneration might be similar in LRRK2-PD and healthy subjects and lower than the idiopathic form of PD at the early stages, which may disappear in the later stages. Moreover, our findings suggest that the serum NFL might be a more accurate biomarker to distinguish iPD from healthy subjects rather than all PD patients or LRRK2-PD from healthy subjects at the early stages.
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Affiliation(s)
- Fardin Nabizadeh
- Neuroscience Research Group (NRG), Universal Scientific Education and Research Network (USERN), Tehran, Iran; School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
| | - Omid Mohamadzadeh
- Department of Neurosurgery, Tehran University of Medical Science, Tehran, Iran
| | - Helia Hosseini
- Faculty of Medicine, Tehran University of Medical Sciences, Iran
| | - Kimia Rasouli
- Student Research Committee, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran
| | - Nazgol Esmalian Afyouni
- Isfahan Neurosciences Research Center, Alzahra Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
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11
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Hall DA, Voigt RM, Cantu-Jungles TM, Hamaker B, Engen PA, Shaikh M, Raeisi S, Green SJ, Naqib A, Forsyth CB, Chen T, Manfready R, Ouyang B, Rasmussen HE, Sedghi S, Goetz CG, Keshavarzian A. An open label, non-randomized study assessing a prebiotic fiber intervention in a small cohort of Parkinson's disease participants. Nat Commun 2023; 14:926. [PMID: 36801916 PMCID: PMC9938693 DOI: 10.1038/s41467-023-36497-x] [Citation(s) in RCA: 26] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Accepted: 02/02/2023] [Indexed: 02/20/2023] Open
Abstract
A pro-inflammatory intestinal microbiome is characteristic of Parkinson's disease (PD). Prebiotic fibers change the microbiome and this study sought to understand the utility of prebiotic fibers for use in PD patients. The first experiments demonstrate that fermentation of PD patient stool with prebiotic fibers increased the production of beneficial metabolites (short chain fatty acids, SCFA) and changed the microbiota demonstrating the capacity of PD microbiota to respond favorably to prebiotics. Subsequently, an open-label, non-randomized study was conducted in newly diagnosed, non-medicated (n = 10) and treated PD participants (n = 10) wherein the impact of 10 days of prebiotic intervention was evaluated. Outcomes demonstrate that the prebiotic intervention was well tolerated (primary outcome) and safe (secondary outcome) in PD participants and was associated with beneficial biological changes in the microbiota, SCFA, inflammation, and neurofilament light chain. Exploratory analyses indicate effects on clinically relevant outcomes. This proof-of-concept study offers the scientific rationale for placebo-controlled trials using prebiotic fibers in PD patients. ClinicalTrials.gov Identifier: NCT04512599.
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Affiliation(s)
- Deborah A Hall
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Robin M Voigt
- Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA.,Rush Medical College, Rush Center for Integrated Microbiome and Chronobiology Research, Rush University Medical Center, Chicago, IL, USA.,Department of Anatomy & Cell Biology, Rush University Medical Center, Chicago, IL, USA
| | - Thaisa M Cantu-Jungles
- Rush Medical College, Rush Center for Integrated Microbiome and Chronobiology Research, Rush University Medical Center, Chicago, IL, USA.,Whistler Center for Carbohydrate Research, Department of Food Science, Purdue University, West Lafayette, IN, USA
| | - Bruce Hamaker
- Rush Medical College, Rush Center for Integrated Microbiome and Chronobiology Research, Rush University Medical Center, Chicago, IL, USA.,Whistler Center for Carbohydrate Research, Department of Food Science, Purdue University, West Lafayette, IN, USA
| | - Phillip A Engen
- Rush Medical College, Rush Center for Integrated Microbiome and Chronobiology Research, Rush University Medical Center, Chicago, IL, USA
| | - Maliha Shaikh
- Rush Medical College, Rush Center for Integrated Microbiome and Chronobiology Research, Rush University Medical Center, Chicago, IL, USA
| | - Shohreh Raeisi
- Rush Medical College, Rush Center for Integrated Microbiome and Chronobiology Research, Rush University Medical Center, Chicago, IL, USA
| | - Stefan J Green
- Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA.,Rush Medical College, Rush Center for Integrated Microbiome and Chronobiology Research, Rush University Medical Center, Chicago, IL, USA.,Genomics and Microbiome Core Facility, Rush University Medical Center, Chicago, IL, USA
| | - Ankur Naqib
- Rush Medical College, Rush Center for Integrated Microbiome and Chronobiology Research, Rush University Medical Center, Chicago, IL, USA.,Department of Anatomy & Cell Biology, Rush University Medical Center, Chicago, IL, USA
| | - Christopher B Forsyth
- Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA.,Rush Medical College, Rush Center for Integrated Microbiome and Chronobiology Research, Rush University Medical Center, Chicago, IL, USA.,Department of Anatomy & Cell Biology, Rush University Medical Center, Chicago, IL, USA
| | - Tingting Chen
- Whistler Center for Carbohydrate Research, Department of Food Science, Purdue University, West Lafayette, IN, USA.,State Key Laboratory of Food Science & Technology, Nanchang University, Nanchang, China
| | - Richard Manfready
- Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Bichun Ouyang
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Heather E Rasmussen
- Rush Medical College, Rush Center for Integrated Microbiome and Chronobiology Research, Rush University Medical Center, Chicago, IL, USA.,Department of Nutrition and Health Sciences, University of Nebraska, Lincoln, NE, USA
| | | | - Christopher G Goetz
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Ali Keshavarzian
- Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA. .,Rush Medical College, Rush Center for Integrated Microbiome and Chronobiology Research, Rush University Medical Center, Chicago, IL, USA. .,Department of Anatomy & Cell Biology, Rush University Medical Center, Chicago, IL, USA. .,Department of Physiology, Rush University Medical Center, Chicago, IL, USA.
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12
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Zhang S, Cheng Y, Shang H. The updated development of blood-based biomarkers for Huntington's disease. J Neurol 2023; 270:2483-2503. [PMID: 36692635 PMCID: PMC9873222 DOI: 10.1007/s00415-023-11572-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 01/11/2023] [Accepted: 01/12/2023] [Indexed: 01/25/2023]
Abstract
Huntington's disease is a progressive neurodegenerative disease caused by mutation of the huntingtin (HTT) gene. The identification of mutation carriers before symptom onset provides an opportunity to intervene in the early stage of the disease course. Optimal biomarkers are of great value to reflect neuropathological and clinical progression and are sensitive to potential disease-modifying treatments. Blood-based biomarkers have the merits of minimal invasiveness, low cost, easy accessibility and safety. In this review, we summarized the updated development of blood-based biomarkers for HD from six aspects, including neuronal injuries, oxidative stress, endocrine functions, immune reactions, metabolism and differentially expressed miRNAs. The blood-based biomarkers presented and discussed in this review were close to clinical applicability and might facilitate clinical design as surrogate endpoints. Exploration and validation of robust blood-based biomarkers require further standard and systemic study design in the future.
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Affiliation(s)
- Sirui Zhang
- grid.412901.f0000 0004 1770 1022Laboratory of Neurodegenerative Disorders, Department of Neurology, Rare Disease Center, West China Hospital, Sichuan University, Chengdu, 610041 Sichuan China ,grid.412901.f0000 0004 1770 1022National Clinical Research Center for Geriatric, Laboratory of Neurodegenerative Disorders, West China Hospital, Sichuan University, Chengdu, 610041 China ,grid.412901.f0000 0004 1770 1022West China School of Medicine, West China Hospital, Sichuan University, Chengdu, 610041 China
| | - Yangfan Cheng
- grid.412901.f0000 0004 1770 1022Laboratory of Neurodegenerative Disorders, Department of Neurology, Rare Disease Center, West China Hospital, Sichuan University, Chengdu, 610041 Sichuan China ,grid.412901.f0000 0004 1770 1022National Clinical Research Center for Geriatric, Laboratory of Neurodegenerative Disorders, West China Hospital, Sichuan University, Chengdu, 610041 China
| | - Huifang Shang
- grid.412901.f0000 0004 1770 1022Laboratory of Neurodegenerative Disorders, Department of Neurology, Rare Disease Center, West China Hospital, Sichuan University, Chengdu, 610041 Sichuan China ,grid.412901.f0000 0004 1770 1022National Clinical Research Center for Geriatric, Laboratory of Neurodegenerative Disorders, West China Hospital, Sichuan University, Chengdu, 610041 China
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13
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Alvarez M, Trent E, Goncalves BDS, Pereira DG, Puri R, Frazier NA, Sodhi K, Pillai SS. Cognitive dysfunction associated with COVID-19: Prognostic role of circulating biomarkers and microRNAs. Front Aging Neurosci 2022; 14:1020092. [PMID: 36268187 PMCID: PMC9577202 DOI: 10.3389/fnagi.2022.1020092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 09/13/2022] [Indexed: 01/08/2023] Open
Abstract
COVID-19 is renowned as a multi-organ disease having subacute and long-term effects with a broad spectrum of clinical manifestations. The evolving scientific and clinical evidence demonstrates that the frequency of cognitive impairment after COVID-19 is high and it is crucial to explore more clinical research and implement proper diagnostic and treatment strategies. Several central nervous system complications have been reported as comorbidities of COVID-19. The changes in cognitive function associated with neurodegenerative diseases develop slowly over time and are only diagnosed at an already advanced stage of molecular pathology. Hence, understanding the common links between COVID-19 and neurodegenerative diseases will broaden our knowledge and help in strategizing prognostic and therapeutic approaches. The present review focuses on the diverse neurodegenerative changes associated with COVID-19 and will highlight the importance of major circulating biomarkers and microRNAs (miRNAs) associated with the disease progression and severity. The literature analysis showed that major proteins associated with central nervous system function, such as Glial fibrillary acidic protein, neurofilament light chain, p-tau 181, Ubiquitin C-terminal hydrolase L1, S100 calcium-binding protein B, Neuron-specific enolase and various inflammatory cytokines, were significantly altered in COVID-19 patients. Furthermore, among various miRNAs that are having pivotal roles in various neurodegenerative diseases, miR-146a, miR-155, Let-7b, miR-31, miR-16 and miR-21 have shown significant dysregulation in COVID-19 patients. Thus the review consolidates the important findings from the numerous studies to unravel the underlying mechanism of neurological sequelae in COVID-19 and the possible association of circulatory biomarkers, which may serve as prognostic predictors and therapeutic targets in future research.
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Affiliation(s)
| | | | | | | | | | | | | | - Sneha S. Pillai
- Department of Surgery, Biomedical Sciences and Medicine, Joan C. Edwards School of Medicine, Marshall University, Huntington, WV, United States
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14
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Chen J, Zhou Z, Luo S, Liu G, Xiang J, Tian Z. Progress of advanced nanomaterials in diagnosis of neurodegenerative diseases. Biosens Bioelectron 2022; 217:114717. [PMID: 36179434 DOI: 10.1016/j.bios.2022.114717] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 08/25/2022] [Accepted: 09/10/2022] [Indexed: 12/22/2022]
Abstract
Neurodegenerative diseases (NDDs) encompass a wide range of clinically and pathologically diverse diseases characterized by progressive long-term cognitive decline, memory and function loss in daily life. Due to the lack of effective drugs and therapeutic strategies for preventing or delaying neurodegenerative progression, it is urgent to diagnose NDDs as early and accurately as possible. Nanomaterials, emerged as one of the most promising materials in the 21st century, have been widely applied and play a significant role in diagnosis and treatment of NDDs because of their remarkable properties including stability, prominent biocompatibility, unique structure, novel physical and chemical characteristics. In this review, we outlined general strategies for the application of different types of advanced materials in early and staged diagnosis of NDDs in vivo and in vitro. According to applied technology, in vivo research mainly involves magnetic resonance, fluorescence, and surface enhanced Raman imaging on structures of brain tissues, cerebral vessels and related distributions of biomarkers. In vitro research is focused on the detection of fluid biomarkers in cerebrospinal fluid and peripheral blood based on fluorescence, electrochemical, Raman and surface plasmon resonance techniques. Finally, we discussed the current challenges and future perspectives of biomarker-based NDDs diagnosis as well as potential applications regarding advanced nanomaterials.
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Affiliation(s)
- Jia Chen
- Hunan Provincial Key Laboratory of Micro & Nano Materials Interface Science, College of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, PR China
| | - Zhifang Zhou
- State Key Laboratory of Marine Environmental Science, Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, Center for Marine Environmental Chemistry & Toxicology, College of the Environment and Ecology, Xiamen University, Xiamen, 361102, China
| | - Siheng Luo
- State Key Laboratory of Marine Environmental Science, Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, Center for Marine Environmental Chemistry & Toxicology, College of the Environment and Ecology, Xiamen University, Xiamen, 361102, China
| | - Guokun Liu
- State Key Laboratory of Marine Environmental Science, Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, Center for Marine Environmental Chemistry & Toxicology, College of the Environment and Ecology, Xiamen University, Xiamen, 361102, China
| | - Juan Xiang
- Hunan Provincial Key Laboratory of Micro & Nano Materials Interface Science, College of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, PR China; National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Central South University, Changsha, 410083, PR China.
| | - Zhongqun Tian
- State Key Laboratory for Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, Fujian, 361005, China.
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15
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Zhang P, Chen J, Cai T, He C, Li Y, Li X, Chen Z, Wang L, Zhang Y. Quantitative susceptibility mapping and blood neurofilament light chain differentiate between parkinsonian disorders. Front Aging Neurosci 2022; 14:909552. [PMID: 35992605 PMCID: PMC9389149 DOI: 10.3389/fnagi.2022.909552] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 06/27/2022] [Indexed: 11/13/2022] Open
Abstract
Objectives We employed quantitative susceptibility mapping (QSM) to assess iron deposition in parkinsonian disorders and explored whether combining QSM values and neurofilament light (NfL) chain levels can improve the accuracy of distinguishing Parkinson’s disease (PD) from multiple system atrophy (MSA) and progressive supranuclear palsy (PSP). Materials and methods Forty-seven patients with PD, 28 patients with MSA, 18 patients with PSP, and 28 healthy controls (HC) were enrolled, and QSM data were reconstructed. Susceptibility values in the bilateral globus pallidus (GP), putamen (PUT), caudate nucleus (CN), red nucleus (RN), substantia nigra (SN), and dentate nucleus (DN) were obtained. Plasma NfL levels of 47 PD, 18 MSA, and 14 PSP patients and 22 HC were measured by ultrasensitive Simoa technology. Results The highest diagnostic accuracy distinguishing MSA from PD patients was observed with increased susceptibility values in CN (AUC: 0.740). The susceptibility values in RN yielded the highest diagnostic performance for distinguishing PSP from PD patients (AUC: 0.829). Plasma NfL levels were significantly higher in the MSA and PSP groups than in PD and HC groups. Combining the susceptibility values in the RN and plasma NfL levels improved the diagnostic performance for PSP vs. PD (AUC: 0.904), whereas plasma NfL levels had higher diagnostic accuracy for MSA vs. PD (AUC: 0.877). Conclusion The exploratory study indicates different patterns of iron accumulation in deep gray matter nuclei in Parkinsonian disorders. Combining QSM values with NfL levels may be a promising biomarker for distinguishing PSP from PD, whereas plasma NfL may be a reliable biomarker for differentiating MSA from PD. QSM and NfL measures appeared to have low accuracy for separating PD from controls.
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Affiliation(s)
- Piao Zhang
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Junling Chen
- Department of Neurology, Shantou Central Hospital, Shantou, China
| | - Tongtong Cai
- Department of Neurology, Shantou Central Hospital, Shantou, China
| | - Chentao He
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yan Li
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xiaohong Li
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Zhenzhen Chen
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Lijuan Wang
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yuhu Zhang
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- *Correspondence: Yuhu Zhang,
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16
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Lee S, Plavina T, Singh CM, Xiong K, Qiu X, Rudick RA, Calabresi PA, Stevenson L, Graham D, Raitcheva D, Green C, Matias M, Uzgiris AJ. Development of a Highly Sensitive Neurofilament Light Chain Assay on an Automated Immunoassay Platform. Front Neurol 2022; 13:935382. [PMID: 35959400 PMCID: PMC9359312 DOI: 10.3389/fneur.2022.935382] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 06/14/2022] [Indexed: 11/21/2022] Open
Abstract
Background Neurofilament light chain (NfL) is an axonal cytoskeletal protein that is released into the extracellular space following neuronal or axonal injury associated with neurological conditions such as multiple sclerosis (MS), amyotrophic lateral sclerosis (ALS), and other diseases. NfL is detectable in the cerebrospinal fluid (CSF) and blood. Numerous studies on MS have demonstrated that NfL is correlated with disease activity, predicts disease progression, and is reduced by treatment with MS disease-modifying drugs, making NfL an attractive candidate to supplement existing clinical and imaging measures in MS. However, for NfL to achieve its potential as a clinically useful biomarker for clinical decision-making or drug development, a standardized, practical, and widely accessible assay is needed. Our objective was to develop a novel NfL assay on an automated, globally available immunoassay platform and validate its performance. Methods A prototype NfL assay was first developed and evaluated on the ADVIA Centaur® XP immunoassay system from Siemens Healthineers. The lower limit of quantitation (LLoQ), within-lab precision, assay range, cross-reactivity with neurofilament medium and heavy chains, and effect of interfering substances were determined. NfL assay values in serum and CSF were compared with radiological and clinical disease activity measures in patients with MS and ALS, respectively. This assay was further optimized to utilize serum, plasma, and CSF sample types on the Atellica® IM system and transferred to Siemens' CLIA laboratory where it was analytically validated as a laboratory-developed test (LDT). Results In this study, an LLoQ of 1.85 pg/mL, within-lab precision <6%, and an assay range of up to 646 pg/mL were demonstrated with the serum prototype assay. Cross-reactivity of <0.7% with the neurofilament medium and heavy chains was observed. Serum and CSF NfL assay values were associated with radiological and clinical disease activity measures in patients with MS and ALS, respectively. The optimized version of the NfL assay demonstrated specimen equivalence with additional plasma tube types and was analytically validated as an LDT. Conclusion The analytical performance of the NfL assay fulfilled all acceptance criteria; therefore, we suggest that the assay is acceptable for use in both research and clinical practice settings to determine elevated NfL levels in patients.
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Affiliation(s)
- Stephen Lee
- Siemens Healthcare Laboratory, LLC, Berkeley, CA, United States
| | | | | | | | - Xiaolei Qiu
- Siemens Healthcare Laboratory, LLC, Berkeley, CA, United States
| | | | - Peter A. Calabresi
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
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17
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Pogue AI, Jaber VR, Sharfman NM, Zhao Y, Lukiw WJ. Downregulation of Neurofilament Light Chain Expression in Human Neuronal-Glial Cell Co-Cultures by a Microbiome-Derived Lipopolysaccharide-Induced miRNA-30b-5p. Front Neurol 2022; 13:900048. [PMID: 35812116 PMCID: PMC9263091 DOI: 10.3389/fneur.2022.900048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2022] [Accepted: 05/12/2022] [Indexed: 11/26/2022] Open
Abstract
Microbiome-derived Gram-negative bacterial lipopolysaccharide (LPS) has been shown by multiple laboratories to reside within Alzheimer's disease (AD)-affected neocortical and hippocampal neurons. LPS and other pro-inflammatory stressors strongly induce a defined set of NF-kB (p50/p65)-sensitive human microRNAs, including a brain-enriched Homo sapien microRNA-30b-5p (hsa-miRNA-30b-5p; miRNA-30b). Here we provide evidence that this neuropathology-associated miRNA, known to be upregulated in AD brain and LPS-stressed human neuronal-glial (HNG) cells in primary culture targets the neurofilament light (NF-L) chain mRNA 3'-untranslated region (3'-UTR), which is conducive to the post-transcriptional downregulation of NF-L expression observed within both AD and LPS-treated HNG cells. A deficiency of NF-L is associated with consequent atrophy of the neuronal cytoskeleton and the disruption of synaptic organization. Interestingly, miRNA-30b has previously been shown to be highly expressed in amyloid-beta (Aβ) peptide-treated animal and cell models, and Aβ peptides promote LPS entry into neurons. Increased miRNA-30b expression induces neuronal injury, neuron loss, neuronal inflammation, impairment of synaptic transmission, and synaptic failure in neurodegenerative disease and transgenic murine models. This gut microbiota-derived LPS-NF-kB-miRNA-30b-NF-L pathological signaling network: (i) underscores a positive pathological link between the LPS of gastrointestinal (GI)-tract microbes and the inflammatory neuropathology, disordered cytoskeleton, and disrupted synaptic signaling of the AD brain and stressed brain cells; and (ii) is the first example of a microbiome-derived neurotoxic glycolipid having significant detrimental miRNA-30b-mediated actions on the expression of NF-L, an abundant neuron-specific filament protein known to be important in the maintenance of neuronal cell shape, axonal caliber, and synaptic homeostasis.
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Affiliation(s)
| | - Vivian R. Jaber
- LSU Neuroscience Center, Louisiana State University Health Science Center, New Orleans, LA, United States
| | - Nathan M. Sharfman
- LSU Neuroscience Center, Louisiana State University Health Science Center, New Orleans, LA, United States
| | - Yuhai Zhao
- LSU Neuroscience Center, Louisiana State University Health Science Center, New Orleans, LA, United States
- Department of Cell Biology and Anatomy, Louisiana State University Health Science Center, New Orleans, LA, United States
| | - Walter J. Lukiw
- Alchem Biotech Research, Toronto, ON, Canada
- LSU Neuroscience Center, Louisiana State University Health Science Center, New Orleans, LA, United States
- Department of Ophthalmology, Louisiana State University Health Science Center, New Orleans, LA, United States
- Department Neurology, Louisiana State University Health Science Center, New Orleans, LA, United States
- *Correspondence: Walter J. Lukiw
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Fluid Biomarkers in Alzheimer’s Disease and Other Neurodegenerative Disorders: Toward Integrative Diagnostic Frameworks and Tailored Treatments. Diagnostics (Basel) 2022; 12:diagnostics12040796. [PMID: 35453843 PMCID: PMC9029739 DOI: 10.3390/diagnostics12040796] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 03/09/2022] [Accepted: 03/17/2022] [Indexed: 02/05/2023] Open
Abstract
The diagnosis of neurodegenerative diseases (NDDs) represents an increasing social burden, with the unsolved issue of disease-modifying therapies (DMTs). The failure of clinical trials treating Alzheimer′s Disease (AD) so far highlighted the need for a different approach in drug design and patient selection. Identifying subjects in the prodromal or early symptomatic phase is critical to slow down neurodegeneration, but the implementation of screening programs with this aim will have an ethical and social aftermath. Novel minimally invasive candidate biomarkers (derived from blood, saliva, olfactory brush) or classical cerebrospinal fluid (CSF) biomarkers have been developed in research settings to stratify patients with NDDs. Misfolded protein accumulation, neuroinflammation, and synaptic loss are the pathophysiological hallmarks detected by these biomarkers to refine diagnosis, prognosis, and target engagement of drugs in clinical trials. We reviewed fluid biomarkers of NDDs, considering their potential role as screening, diagnostic, or prognostic tool, and their present-day use in clinical trials (phase II and III). A special focus will be dedicated to novel techniques for the detection of misfolded proteins. Eventually, an applicative diagnostic algorithm will be proposed to translate the research data in clinical practice and select prodromal or early patients to be enrolled in the appropriate DMTs trials for NDDs.
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Diekämper E, Brix B, Stöcker W, Vielhaber S, Galazky I, Kreissl MC, Genseke P, Düzel E, Körtvelyessy P. Neurofilament Levels Are Reflecting the Loss of Presynaptic Dopamine Receptors in Movement Disorders. Front Neurosci 2021; 15:690013. [PMID: 34924923 PMCID: PMC8681873 DOI: 10.3389/fnins.2021.690013] [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: 04/01/2021] [Accepted: 10/07/2021] [Indexed: 12/01/2022] Open
Abstract
Aims: Neurofilament light chain (NfL) and phosphorylated neurofilament heavy chain (pNfH) are biomarkers for neuroaxonal damage. We assessed whether NfL and other biomarker levels in the CSF are correlated to the loss of presynaptic dopamine transporters in neurons as detected with dopamine transporter SPECT (DaTscan). Methods: We retrospectively identified 47 patients (17 Alzheimer's dementia, 10 idiopathic Parkinson's disease, 7 Lewy body dementia, 13 progressive supranuclear palsy or corticobasal degeneration) who received a DaTscan and a lumbar puncture. DaTscan imaging was performed according to current guidelines, and z-scores indicating the decrease in uptake were software based calculated for the nucleus caudatus and putamen. The CSF biomarkers progranulin, total-tau, alpha-synuclein, NfL, and pNfH were correlated with the z-scores. Results: DaTscan results in AD patients did not correlate with any biomarker. Subsuming every movement disorder with nigrostriatal neurodegeneration resulted in a strong correlation between putamen/nucleus caudatus and NfL (nucleus caudatus right p < 0.01, putamen right p < 0.05, left p < 0.05) and between pNfH and putamen (right p < 0.05; left p < 0.042). Subdividing in disease cohorts did not reveal significant correlations. Progranulin, alpha-synuclein, and total-tau did not correlate with DaTscan results. Conclusion: We show a strong correlation of NfL and pNfH with pathological changes in presynaptic dopamine transporter density in the putamen concomitant to nigrostriatal degeneration. This correlation might explain the reported correlation of impaired motor functions in PD and NfL as seen before, despite the pathological heterogeneity of these diseases.
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Affiliation(s)
- Elena Diekämper
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Britta Brix
- Institute for Experimental Immunology, EUROIMMUN Medizinische Labordiagnostika AG, Lübeck, Germany
| | - Winfried Stöcker
- Clinical-Immunological Laboratory Prof. Dr. Stöcker, Lübeck, Germany
| | - Stefan Vielhaber
- Department of Neurology, University Hospital Magdeburg, Otto-von Guericke University, Magdeburg, Germany
| | - Imke Galazky
- Department of Neurology, University Hospital Magdeburg, Otto-von Guericke University, Magdeburg, Germany
| | - Michael C. Kreissl
- Department of Nuclear Medicine, University Hospital Magdeburg, Otto-von Guericke University, Magdeburg, Germany
| | - Philipp Genseke
- Department of Nuclear Medicine, University Hospital Magdeburg, Otto-von Guericke University, Magdeburg, Germany
| | - Emrah Düzel
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Institute for Cognitive Neurology and Dementia Research, Magdeburg, Germany
| | - Péter Körtvelyessy
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Department of Neuropathology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Neurology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
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20
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Haque MI, Yoshibayashi K, Wang J, Fischer G, Kirchner J. Design and evaluation of directional antenna for shoe-mounted sensor for position identification of elderly wanderer. SENSING AND BIO-SENSING RESEARCH 2021. [DOI: 10.1016/j.sbsr.2021.100451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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21
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Alcolea D, Delaby C, Muñoz L, Torres S, Estellés T, Zhu N, Barroeta I, Carmona-Iragui M, Illán-Gala I, Santos-Santos MÁ, Altuna M, Sala I, Sánchez-Saudinós MB, Videla L, Valldeneu S, Subirana A, Pegueroles J, Hirtz C, Vialaret J, Lehmann S, Karikari TK, Ashton NJ, Blennow K, Zetterberg H, Belbin O, Blesa R, Clarimón J, Fortea J, Lleó A. Use of plasma biomarkers for AT(N) classification of neurodegenerative dementias. J Neurol Neurosurg Psychiatry 2021; 92:1206-1214. [PMID: 34103344 DOI: 10.1136/jnnp-2021-326603] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Accepted: 05/22/2021] [Indexed: 12/14/2022]
Abstract
OBJECTIVES All categories included in the AT(N) classification can now be measured in plasma. However, their agreement with cerebrospinal fluid (CSF) markers is not fully established. A blood signature to generate the AT(N) classification would facilitate early diagnosis of patients with Alzheimer's disease (AD) through an easy and minimally invasive approach. METHODS We measured Aβ, pTau181 and neurofilament light (NfL) in 150 plasma samples of the Sant Pau Initiative on Neurodegeneration cohort including patients with mild cognitive impairment, AD dementia, frontotemporal dementia, dementia with Lewy bodies and cognitively normal participants. We classified participants in the AT(N) categories according to CSF biomarkers and studied the diagnostic value of plasma biomarkers within each category individually and in combination. RESULTS The plasma Aβ composite, pTau181 and NfL yielded areas under the curve (AUC) of 0.75, 0.78 and 0.88 to discriminate positive and negative participants in their respective A, T and N categories. The combination of all three markers did not outperform pTau181 alone (AUC=0.81) to discriminate A+T+ from A-T- participants. There was a moderate correlation between plasma Aβ composite and CSF Aβ1-42/Aβ1-40 (Rho=-0.5, p<0.001) and between plasma pTau181 and CSF pTau181 in the entire cohort (Rho=0.51, p<0.001). NfL levels in plasma showed high correlation with those in CSF (Rho=0.78, p<0.001). CONCLUSIONS Plasma biomarkers are useful to detect the AT(N) categories, and their use can differentiate patients with pathophysiological evidence of AD. A blood AT(N) signature may facilitate early diagnosis and follow-up of patients with AD through an easy and minimally invasive approach.
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Affiliation(s)
- Daniel Alcolea
- Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Hospital de la Santa Creu i Sant Pau, Barcelona, Catalunya, Spain .,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Constance Delaby
- Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Hospital de la Santa Creu i Sant Pau, Barcelona, Catalunya, Spain.,IRMB, INM, Université de Montpellier, INSERM, CHU de Montpellier, Laboratoire de Biochimie-Protéomique clinique, Montpellier, France
| | - Laia Muñoz
- Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Hospital de la Santa Creu i Sant Pau, Barcelona, Catalunya, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Soraya Torres
- Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Hospital de la Santa Creu i Sant Pau, Barcelona, Catalunya, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Teresa Estellés
- Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Hospital de la Santa Creu i Sant Pau, Barcelona, Catalunya, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Nuole Zhu
- Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Hospital de la Santa Creu i Sant Pau, Barcelona, Catalunya, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Isabel Barroeta
- Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Hospital de la Santa Creu i Sant Pau, Barcelona, Catalunya, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - María Carmona-Iragui
- Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Hospital de la Santa Creu i Sant Pau, Barcelona, Catalunya, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Ignacio Illán-Gala
- Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Hospital de la Santa Creu i Sant Pau, Barcelona, Catalunya, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Miguel Ángel Santos-Santos
- Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Hospital de la Santa Creu i Sant Pau, Barcelona, Catalunya, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Miren Altuna
- Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Hospital de la Santa Creu i Sant Pau, Barcelona, Catalunya, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Isabel Sala
- Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Hospital de la Santa Creu i Sant Pau, Barcelona, Catalunya, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Mª Belén Sánchez-Saudinós
- Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Hospital de la Santa Creu i Sant Pau, Barcelona, Catalunya, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Laura Videla
- Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Hospital de la Santa Creu i Sant Pau, Barcelona, Catalunya, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain.,Fundación Catalana Síndrome Down, Barcelona, Catalunya, Spain
| | - Sílvia Valldeneu
- Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Hospital de la Santa Creu i Sant Pau, Barcelona, Catalunya, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Andrea Subirana
- Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Hospital de la Santa Creu i Sant Pau, Barcelona, Catalunya, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Jordi Pegueroles
- Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Hospital de la Santa Creu i Sant Pau, Barcelona, Catalunya, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Christophe Hirtz
- IRMB, INM, Université de Montpellier, INSERM, CHU de Montpellier, Laboratoire de Biochimie-Protéomique clinique, Montpellier, France
| | - Jérôme Vialaret
- IRMB, INM, Université de Montpellier, INSERM, CHU de Montpellier, Laboratoire de Biochimie-Protéomique clinique, Montpellier, France
| | - Sylvain Lehmann
- IRMB, INM, Université de Montpellier, INSERM, CHU de Montpellier, Laboratoire de Biochimie-Protéomique clinique, Montpellier, France
| | - Thomas K Karikari
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg Sahlgrenska Academy, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg Sahlgrenska Academy, Mölndal, Sweden.,Department of Old Age Psychiatry, King's College London Institute of Psychiatry Psychology and Neuroscience, London, UK.,Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden.,NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia, South London and Maudsley NHS Foundation, London, UK
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg Sahlgrenska Academy, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg Sahlgrenska Academy, Mölndal, Sweden.,Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden.,Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK.,UK Dementia Research Institute, UCL, London, UK
| | - Olivia Belbin
- Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Hospital de la Santa Creu i Sant Pau, Barcelona, Catalunya, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Rafael Blesa
- Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Hospital de la Santa Creu i Sant Pau, Barcelona, Catalunya, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Jordi Clarimón
- Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Hospital de la Santa Creu i Sant Pau, Barcelona, Catalunya, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Juan Fortea
- Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Hospital de la Santa Creu i Sant Pau, Barcelona, Catalunya, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Alberto Lleó
- Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Hospital de la Santa Creu i Sant Pau, Barcelona, Catalunya, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
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22
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Zhao Y, Arceneaux L, Culicchia F, Lukiw WJ. Neurofilament Light (NF-L) Chain Protein from a Highly Polymerized Structural Component of the Neuronal Cytoskeleton to a Neurodegenerative Disease Biomarker in the Periphery. HSOA JOURNAL OF ALZHEIMER'S & NEURODEGENERATIVE DISEASES 2021; 7:056. [PMID: 34881359 PMCID: PMC8651065 DOI: 10.24966/and-9608/100056] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Neurofilaments (NFs) are critical scaffolding components of the axoskeleton of healthy neurons interacting directly with multiple synaptic-phosphoproteins to support and coordinate neuronal cell shape, cytoarchitecture, synaptogenesis and neurotransmission. While neuronal presynaptic proteins such as synapsin-2 (SYN II) degrade rapidly via the ubiquitin-proteasome pathway, a considerably more stable neurofilament light (NF-L) chain protein turns over much more slowly, and in several neurological diseases is accompanied by a pathological shift from an intracellular neuronal cytoplasmic location into various biofluid compartments. NF-L has been found to be significantly elevated in peripheral biofluids in multiple neurodegenerative disorders, however it is not as widely appreciated that NF-L expression within neurons undergoing inflammatory neurodegeneration exhibit a significant down-regulation in these neuron-specific intermediate-filament components. Down-regulated NF-L in neurons correlates well with the observed axonal and neuronal atrophy, neurite deterioration and synaptic disorganization in tissues affected by Alzheimer's disease (AD) and other progressive, age-related neurological diseases. This Review paper: (i) will briefly assess the remarkably high number of neurological disorders that exhibit NF-L depolymerization, liberation from neuron-specific compartments, mobilization and enrichment into pathological biofluids; (ii) will evaluate how NF-L exhibits compartmentalization effects in age-related neurological disorders; (iii) will review how the shift of NF-L compartmentalization from within the neuronal cytoskeleton into peripheral biofluids may be a diagnostic biomarker for neuronal-decline in all cause dementia most useful in distinguishing between closely related neurological disorders; and (iv) will review emerging evidence that deficits in plasma membrane barrier integrity, pathological transport and/or vesicle-mediated trafficking dysfunction of NF-L may contribute to neuronal decline, with specific reference to AD wherever possible.
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Affiliation(s)
- Yuhai Zhao
- LSU Neuroscience Center, Louisiana State University Health Science Center, New Orleans LA 70112, USA
- Department of Cell Biology and Anatomy, LSU Health Science Center, New Orleans LA 70112, USA
| | - Lisa Arceneaux
- LSU Neuroscience Center, Louisiana State University Health Science Center, New Orleans LA 70112, USA
| | - Frank Culicchia
- LSU Neuroscience Center, Louisiana State University Health Science Center, New Orleans LA 70112, USA
- Department of Neurosurgery, Louisiana State University Health Science Center, New Orleans LA 70112, USA
| | - Walter J Lukiw
- LSU Neuroscience Center, Louisiana State University Health Science Center, New Orleans LA 70112, USA
- Department of Ophthalmology, Louisiana State University Health Science Center, New Orleans LA 7011, USA
- Department of Neurology, Louisiana State University Health Science Center, New Orleans LA 70112, USA
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23
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Campese N, Beatino MF, Del Gamba C, Belli E, Giampietri L, Del Prete E, Galgani A, Vergallo A, Siciliano G, Ceravolo R, Hampel H, Baldacci F. Ultrasensitive techniques and protein misfolding amplification assays for biomarker-guided reconceptualization of Alzheimer's and other neurodegenerative diseases. Expert Rev Neurother 2021; 21:949-967. [PMID: 34365867 DOI: 10.1080/14737175.2021.1965879] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
INTRODUCTION The clinical validation and qualification of biomarkers reflecting the complex pathophysiology of neurodegenerative diseases (NDDs) is a fundamental challenge for current drug discovery and development and next-generation clinical practice. Novel ultrasensitive detection techniques and protein misfolding amplification assays hold the potential to optimize and accelerate this process. AREAS COVERED Here we perform a PubMed-based state of the art review and perspective report on blood-based ultrasensitive detection techniques and protein misfolding amplification assays for biomarkers discovery and development in NDDs. EXPERT OPINION Ultrasensitive assays represent innovative solutions for blood-based assessments during the entire Alzheimer's disease (AD) biological and clinical continuum, for contexts of use (COU) such as prediction, detection, early diagnosis, and prognosis of AD. Moreover, cerebrospinal fluid (CSF)-based misfolding amplification assays show encouraging performance in detecting α-synucleinopathies in prodromal or at-high-risk individuals and may serve as tools for patients' stratification by the presence of α-synuclein pathology. Further clinical research will help overcome current methodological limitations, also through exploring multiple accessible bodily matrices. Eventually, integrative longitudinal studies will support precise definitions for appropriate COU across NDDs.
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Affiliation(s)
- Nicole Campese
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | | | - Claudia Del Gamba
- Neurology Unit, Nuovo Ospedale Santo Stefano, Via Suor Niccolina Infermiera 20, Prato, Italy
| | - Elisabetta Belli
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Linda Giampietri
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Eleonora Del Prete
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Alessandro Galgani
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Andrea Vergallo
- Sorbonne University, GRC N° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié- Salpêtrière Hospital, Boulevard De L'hôpital, Paris, France
| | - Gabriele Siciliano
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Roberto Ceravolo
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Harald Hampel
- Sorbonne University, GRC N° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié- Salpêtrière Hospital, Boulevard De L'hôpital, Paris, France
| | - Filippo Baldacci
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.,Sorbonne University, GRC N° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié- Salpêtrière Hospital, Boulevard De L'hôpital, Paris, France
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Escal J, Fourier A, Formaglio M, Zimmer L, Bernard E, Mollion H, Bost M, Herrmann M, Ollagnon-Roman E, Quadrio I, Dorey JM. Comparative diagnosis interest of NfL and pNfH in CSF and plasma in a context of FTD-ALS spectrum. J Neurol 2021; 269:1522-1529. [PMID: 34313819 DOI: 10.1007/s00415-021-10714-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 07/09/2021] [Accepted: 07/11/2021] [Indexed: 11/24/2022]
Abstract
OBJECTIVE The 'Frontotemporal dementia-Amyotrophic lateral sclerosis Spectrum' (FAS) encompasses different phenotypes, including cognitive disorders (frontotemporal dementia, FTD) and/or motor impairments (amyotrophic lateral sclerosis, ALS). The aim of this study was to apprehend the specific uses of neurofilaments light chain (NfL) and phosphorylated neurofilaments heavy chain (pNfH) in a context of FAS. METHODS First, NfL and pNfH were measured in 39 paired cerebrospinal fluid (CSF) and plasma samples of FAS and primary psychiatric disorders (PPD) patients, considered as controls. Secondly, additional plasma samples were included to examine a larger cohort of 81 samples composed of symptomatic FAS and PPD patients, presymptomatic and non-carrier relatives individuals. The measures were performed using Simoa technology. RESULTS There was a positive correlation between CSF and plasma values for NfL (p < 0.0001) and for pNfH (p = 0.0036). NfL values were higher for all phenotypes of symptomatic FAS patients compared to PPD patients (p = 0.0016 in CSF; p = 0.0003 in plasma). On the contrary, pNfH values were solely increased in FAS patients exhibiting motor impairment. Unlike symptomatic FAS patients, presymptomatic cases had comparable concentrations with non-carrier individuals. CONCLUSION NfL, but not pNfH, appeared to be useful in a context of differential diagnosis between FTD and psychiatric patients. Nevertheless, pNfH seem more specific for the diagnosis and follow-up of motor impairments. In each specific indication, measures in CSF and plasma will provide identical interpretations.
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Affiliation(s)
- Jean Escal
- Laboratory of Neurobiology and Neurogenetics, Department of Biochemistry and Molecular Biology, Lyon University Hospital, Bron, France.,BIORAN Team, Lyon Neuroscience Research Center, CNRS UMR 5292, INSERM U1028, Lyon 1 University, Bron, France
| | - Anthony Fourier
- Laboratory of Neurobiology and Neurogenetics, Department of Biochemistry and Molecular Biology, Lyon University Hospital, Bron, France. .,BIORAN Team, Lyon Neuroscience Research Center, CNRS UMR 5292, INSERM U1028, Lyon 1 University, Bron, France.
| | - Maité Formaglio
- Neurocognition and Neuro-Ophthalmology Department, Lyon University Hospital, Bron, France.,Center for Memory Resources and Research, Lyon University Hospital, Lyon 1 University, Villeurbanne, France
| | - Luc Zimmer
- BIORAN Team, Lyon Neuroscience Research Center, CNRS UMR 5292, INSERM U1028, Lyon 1 University, Bron, France
| | - Emilien Bernard
- Reference Center of ALS of Lyon, Lyon University Hospital, Lyon 1 University, Bron, France.,NeuroMyoGène Institute, CNRS UMR 5310, INSERM U1217, Lyon 1 University, Lyon, France
| | - Hélène Mollion
- Neurocognition and Neuro-Ophthalmology Department, Lyon University Hospital, Bron, France.,Center for Memory Resources and Research, Lyon University Hospital, Lyon 1 University, Villeurbanne, France
| | - Muriel Bost
- Laboratory of Neurobiology and Neurogenetics, Department of Biochemistry and Molecular Biology, Lyon University Hospital, Bron, France
| | - Mathieu Herrmann
- Department of Aging Psychiatry, Hospital Le Vinatier, Bron, France
| | - Elisabeth Ollagnon-Roman
- Department of Predictive Medicine of Neurological and Neurodegenerative Diseases, Lyon University Hospital, Lyon, France
| | - Isabelle Quadrio
- Laboratory of Neurobiology and Neurogenetics, Department of Biochemistry and Molecular Biology, Lyon University Hospital, Bron, France.,BIORAN Team, Lyon Neuroscience Research Center, CNRS UMR 5292, INSERM U1028, Lyon 1 University, Bron, France.,Center for Memory Resources and Research, Lyon University Hospital, Lyon 1 University, Villeurbanne, France
| | - Jean-Michel Dorey
- Department of Aging Psychiatry, Hospital Le Vinatier, Bron, France.,Brain Dynamics and Cognition Team, Lyon Neuroscience Research Center, CNRS UMR 5292, INSERM U1028, Lyon, France
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Svensson J, Blomqvist M, Kettunen P, Eckerström C, Henricsson M, Jonsson M, Bjerke M, Månsson JE, Wallin A. Cerebrospinal Fluid Sulfatide Levels Lack Diagnostic Utility in the Subcortical Small Vessel Type of Dementia. J Alzheimers Dis 2021; 82:781-790. [PMID: 34092632 DOI: 10.3233/jad-201552] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND Sulfatides (STs) in cerebrospinal fluid (CSF), as well as magnetic resonance imaging (MRI)-detected white matter hyperintensities (WMHs), may reflect demyelination. Here, we investigated the diagnostic utility of CSF ST levels in the subcortical small vessel type of dementia (SSVD), which is characterized by the presence of brain WMHs. OBJECTIVE To study the diagnostic utility of CSF ST levels in SSVD. METHODS This was a mono-center, cross-sectional study of SSVD (n = 16), Alzheimer's disease (n = 40), mixed dementia (n = 27), and healthy controls (n = 33). Totally, 20 ST species were measured in CSF by liquid chromatography-mass spectrometry (LC-MS/MS). RESULTS CSF total ST levels, as well as CSF levels of hydroxylated and nonhydroxylated ST species, did not differ across the study groups. In contrast, CSF neurofilament light chain (NFL) levels separated the patient groups from the controls. CSF total ST level correlated with CSF/serum albumin ratio in the total study population (r = 0.64, p < 0.001) and in all individual study groups. Furthermore, CSF total ST level correlated positively with MRI-estimated WMH volume in the total study population (r = 0.30, p < 0.05), but it did not correlate with CSF NFL level. CONCLUSION Although there was some relation between CSF total ST level and WMH volume, CSF ST levels were unaltered in all dementia groups compared to the controls. This suggests that CSF total ST level is a poor biomarker of demyelination in SSVD. Further studies are needed to investigate the mechanisms underlying the marked correlation between CSF total ST level and CSF/serum albumin ratio.
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Affiliation(s)
- Johan Svensson
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Maria Blomqvist
- Department of Laboratory Medicine, Institute of Biomedicine, University of Gothenburg, Gothenburg, Sweden.,Department of Clinical Chemistry, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Petronella Kettunen
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Carl Eckerström
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Department of Immunology and Transfusion Medicine, Sahlgrenska University Hospital, Gothenburg. Sweden
| | - Marcus Henricsson
- Department of Molecular and Clinical Medicine/Wallenberg Laboratory, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Michael Jonsson
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Maria Bjerke
- Laboratory of Neurochemistry, Department of Clinical Biology and Center for Neurosciences, UZ Brussel and Vrije Universiteit Brussel, Brussels, Belgium.,Department of Biomedical Sciences, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Jan-Eric Månsson
- Department of Laboratory Medicine, Institute of Biomedicine, University of Gothenburg, Gothenburg, Sweden.,Department of Clinical Chemistry, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Anders Wallin
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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Jęśko H, Wieczorek I, Wencel PL, Gąssowska-Dobrowolska M, Lukiw WJ, Strosznajder RP. Age-Related Transcriptional Deregulation of Genes Coding Synaptic Proteins in Alzheimer's Disease Murine Model: Potential Neuroprotective Effect of Fingolimod. Front Mol Neurosci 2021; 14:660104. [PMID: 34305524 PMCID: PMC8299068 DOI: 10.3389/fnmol.2021.660104] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 05/31/2021] [Indexed: 12/11/2022] Open
Abstract
Alzheimer's disease (AD) induces time-dependent changes in sphingolipid metabolism, which may affect transcription regulation and neuronal phenotype. We, therefore, analyzed the influence of age, amyloid β precursor protein (AβPP), and the clinically approved, bioavailable sphingosine-1-phosphate receptor modulator fingolimod (FTY720) on the expression of synaptic proteins. RNA was isolated, reverse-transcribed, and subjected to real-time PCR. Expression of mutant (V717I) AβPP led to few changes at 3 months of age but reduced multiple mRNA coding for synaptic proteins in a 12-month-old mouse brain. Complexin 1 (Cplx1), SNAP25 (Snap25), syntaxin 1A (Stx1a), neurexin 1 (Nrxn1), neurofilament light (Nefl), and synaptotagmin 1 (Syt1) in the hippocampus, and VAMP1 (Vamp1) and neurexin 1 (Nrxn1) in the cortex were all significantly reduced in 12-month-old mice. Post mortem AD samples from the human hippocampus and cortex displayed lower expression of VAMP, synapsin, neurofilament light (NF-L) and synaptophysin. The potentially neuroprotective FTY720 reversed most AβPP-induced changes in gene expression (Cplx1, Stx1a, Snap25, and Nrxn1) in the 12-month-old hippocampus, which is thought to be most sensitive to early neurotoxic insults, but it only restored Vamp1 in the cortex and had no influence in 3-month-old brains. Further study may reveal the potential usefulness of FTY720 in the modulation of deregulated neuronal phenotype in AD brains.
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Affiliation(s)
- Henryk Jęśko
- Department of Cellular Signalling, Mossakowski Medical Research Institute, Polish Academy of Sciences, Warsaw, Poland
| | - Iga Wieczorek
- Laboratory of Preclinical Research and Environmental Agents, Mossakowski Medical Research Institute, Polish Academy of Sciences, Warsaw, Poland
| | - Przemysław Leonard Wencel
- Laboratory of Preclinical Research and Environmental Agents, Mossakowski Medical Research Institute, Polish Academy of Sciences, Warsaw, Poland
| | | | - Walter J. Lukiw
- LSU Neuroscience Center, Departments of Neurology and Ophthalmology, Louisiana State University School of Medicine, New Orleans, LA, United States
| | - Robert Piotr Strosznajder
- Laboratory of Preclinical Research and Environmental Agents, Mossakowski Medical Research Institute, Polish Academy of Sciences, Warsaw, Poland
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Willemse EAJ, Scheltens P, Teunissen CE, Vijverberg EGB. A neurologist's perspective on serum neurofilament light in the memory clinic: a prospective implementation study. ALZHEIMERS RESEARCH & THERAPY 2021; 13:101. [PMID: 34006321 PMCID: PMC8132439 DOI: 10.1186/s13195-021-00841-4] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 05/04/2021] [Indexed: 11/10/2022]
Abstract
Background Neurofilament light in serum (sNfL) is a biomarker for axonal damage with elevated levels in many neurological disorders, including neurodegenerative dementias. Since within-group variation of sNfL is large and concentrations increase with aging, sNfL’s clinical use in memory clinic practice remains to be established. The objective of the current study was to evaluate the clinical use of serum neurofilament light (sNfL), a cross-disease biomarker for axonal damage, in a tertiary memory clinic cohort. Methods Six neurologists completed questionnaires regarding the usefulness of sNfL (n = 5–42 questionnaires/neurologist). Patients that visited the Alzheimer Center Amsterdam for the first time between May and October 2019 (n = 109) were prospectively included in this single-center implementation study. SNfL levels were analyzed on Simoa and reported together with normal values in relation to age, as part of routine diagnostic work-up and in addition to cerebrospinal fluid (CSF) biomarker analysis. Results SNfL was perceived as useful in 53% (n = 58) of the cases. SNfL was more often perceived as useful in patients < 62 years (29/48, 60%, p = 0.05) and males (41/65, 63%, p < 0.01). Availability of CSF biomarker results at time of result discussion had no influence. We observed non-significant trends for increased perceived usefulness of sNfL for patients with the diagnosis subjective cognitive decline (64%), psychiatric disorder (71%), or uncertain diagnosis (67%). SNfL was mostly helpful to neurologists in confirming or excluding neurodegeneration. Whether sNfL was regarded as useful strongly depended on which neurologist filled out the questionnaire (ranging from 0 to 73% of useful cases/neurologist). Discussion Regardless of the availability of CSF biomarker results, sNfL was perceived as a useful tool in more than half of the evaluated cases in a tertiary memory clinic practice. Based on our results, we recommend the analysis of the biomarker sNfL to confirm or exclude neurodegeneration in patients below 62 years old and in males. Supplementary Information The online version contains supplementary material available at 10.1186/s13195-021-00841-4.
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Affiliation(s)
- E A J Willemse
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam University Medical Center, Vrije Universiteit, De Boelelaan, 1117, Amsterdam, The Netherlands.
| | - P Scheltens
- Alzheimer Center, Department of Neurology, Amsterdam Neuroscience, Amsterdam University Medical Center, Vrije Universiteit, De Boelelaan, 1117, Amsterdam, The Netherlands
| | - C E Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam University Medical Center, Vrije Universiteit, De Boelelaan, 1117, Amsterdam, The Netherlands
| | - E G B Vijverberg
- Alzheimer Center, Department of Neurology, Amsterdam Neuroscience, Amsterdam University Medical Center, Vrije Universiteit, De Boelelaan, 1117, Amsterdam, The Netherlands.,Brain Research Center, Amsterdam, The Netherlands
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Sampedro F, Pérez-Pérez J, Martínez-Horta S, Pérez-González R, Horta-Barba A, Campolongo A, Izquierdo C, Pagonabarraga J, Gómez-Ansón B, Kulisevsky J. Cortical microstructural correlates of plasma neurofilament light chain in Huntington's disease. Parkinsonism Relat Disord 2021; 85:91-94. [PMID: 33770670 DOI: 10.1016/j.parkreldis.2021.03.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Revised: 02/04/2021] [Accepted: 03/09/2021] [Indexed: 12/15/2022]
Abstract
INTRODUCTION Huntington's disease (HD) is a severe neurodegenerative disorder with no effective treatment. Minimally-invasive biomarkers such as blood neurofilament light chain (NfL) in HD are therefore needed to quantitatively characterize neuronal loss. NfL levels in HD are known to correlate with disease progression and striatal atrophy, but whether they also reflect cortical degeneration remains elusive. METHODS In a sample of 35 HD patients, we characterized the cortical macro (cortical thickness) and microstructural (increased intracortical diffusivity) correlates of plasma NfL levels. We further investigated whether NfL-related cortical alterations correlated with clinical indicators of disease progression. RESULTS Increased plasma NfL levels in HD reflected posterior-cortical microstructural degeneration, but not reduced cortical thickness (p < 0.05, corrected). Importantly, these imaging alterations correlated, in turn, with more severe motor, cognitive and behavioral symptoms. CONCLUSION Plasma NfL levels may be useful for tracking clinically-meaningful cortical deterioration in HD. Additionally, our results further reinforce the role of intracortical diffusivity as a valuable imaging indicator in movement disorders.
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Affiliation(s)
- Frederic Sampedro
- Movement Disorders Unit, Neurology Department, Hospital de La Santa Creu I Sant Pau, Barcelona, Spain; Biomedical Research Institute (IIB-Sant Pau), Barcelona, Spain; Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Spain
| | - Jesus Pérez-Pérez
- Movement Disorders Unit, Neurology Department, Hospital de La Santa Creu I Sant Pau, Barcelona, Spain; Biomedical Research Institute (IIB-Sant Pau), Barcelona, Spain; Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Spain
| | - Saul Martínez-Horta
- Movement Disorders Unit, Neurology Department, Hospital de La Santa Creu I Sant Pau, Barcelona, Spain; Biomedical Research Institute (IIB-Sant Pau), Barcelona, Spain; Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Spain
| | - Rocío Pérez-González
- Movement Disorders Unit, Neurology Department, Hospital de La Santa Creu I Sant Pau, Barcelona, Spain; Biomedical Research Institute (IIB-Sant Pau), Barcelona, Spain; Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Spain
| | - Andrea Horta-Barba
- Movement Disorders Unit, Neurology Department, Hospital de La Santa Creu I Sant Pau, Barcelona, Spain; Biomedical Research Institute (IIB-Sant Pau), Barcelona, Spain; Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Spain
| | - Antonia Campolongo
- Movement Disorders Unit, Neurology Department, Hospital de La Santa Creu I Sant Pau, Barcelona, Spain; Biomedical Research Institute (IIB-Sant Pau), Barcelona, Spain; Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Spain
| | - Cristina Izquierdo
- Movement Disorders Unit, Neurology Department, Hospital de La Santa Creu I Sant Pau, Barcelona, Spain; Biomedical Research Institute (IIB-Sant Pau), Barcelona, Spain; Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Spain
| | - Javier Pagonabarraga
- Movement Disorders Unit, Neurology Department, Hospital de La Santa Creu I Sant Pau, Barcelona, Spain; Biomedical Research Institute (IIB-Sant Pau), Barcelona, Spain; Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Spain
| | - Beatriz Gómez-Ansón
- Neuroradiology Department, Hospital de La Santa Creu I Sant Pau, Barcelona, Spain
| | - Jaime Kulisevsky
- Movement Disorders Unit, Neurology Department, Hospital de La Santa Creu I Sant Pau, Barcelona, Spain; Biomedical Research Institute (IIB-Sant Pau), Barcelona, Spain; Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Spain.
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Wang Z, Wang R, Li Y, Li M, Zhang Y, Jiang L, Fan J, Wang Q, Yang D. Plasma Neurofilament Light Chain as a Predictive Biomarker for Post-stroke Cognitive Impairment: A Prospective Cohort Study. Front Aging Neurosci 2021; 13:631738. [PMID: 33679379 PMCID: PMC7933545 DOI: 10.3389/fnagi.2021.631738] [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: 11/20/2020] [Accepted: 01/22/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Plasma neurofilaments light chain (pNfL) is a marker of axonal injury. The purpose of this study was to examine the role of pNfL as a predictive biomarker for post-stroke cognitive impairment (PSCI). METHODS A prospective single-center observational cohort study was conducted at the General Hospital of Western Theater Command between July 1, 2017 and December 31, 2019. Consecutive patients ≥18 years with first-ever acute ischemic stroke (AIS) of anterior circulation within 24 h of symptom onset were included. PSCI was defined by the Montreal Cognitive Assessment (MOCA) (MOCA < 26) at 90 days after stroke onset. RESULTS A total of 1,694 patients [male, 893 (52.70%); median age, 64 (16) years] were enrolled in the cohort analysis, and 1,029 (60.70%) were diagnosed with PSCI. Patients with PSCI had significantly higher pNfL [median (IQR), 55.96 (36.13) vs. 35.73 (17.57) pg/ml; P < 0.001] than Non-PSCI. pNfL was valuable for the prediction of PSCI (OR 1.044, 95% CI 1.038-1.049, P < 0.001) after a logistic regression analysis, even after adjusting for conventional risk factors including age, sex, education level, NIHSS, TOAST classification, and infarction volume (OR 1.041, 95% CI 1.034-1.047, P < 0.001). The optimal cutoff value of the pNfL concentration was 46.12 pg/ml, which yielded a sensitivity of 71.0% and a specificity of 81.5%, with the area under the curve (AUC) at 0.785 (95% CI 0.762-0.808, P < 0.001). CONCLUSION This prospective cohort study showed that the pNfL concentration within 48 h of onset was an independent risk factor for PSCI 90 days after an anterior circulation stroke, even after being adjusted for potential influencing factors regarded as clinically relevant. CLINICAL TRIAL REGISTRATION www.chictr.org.cn, identifier ChiCTR1800020330.
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Affiliation(s)
- Zhiqiang Wang
- Department of Neurology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
- School of Clinical Medicine, Chengdu University of TCM, Chengdu, China
| | - Rongyu Wang
- Department of Neurology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
- School of Clinical Medicine, Chengdu University of TCM, Chengdu, China
| | - Yuxia Li
- Department of Neurology, The General Hospital of Western Theater Command, Chengdu, China
| | - Mao Li
- Department of Neurology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
- School of Clinical Medicine, Chengdu University of TCM, Chengdu, China
| | - Yaodan Zhang
- Department of Neurology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
- School of Clinical Medicine, Chengdu University of TCM, Chengdu, China
| | - Lianyan Jiang
- Department of Neurology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
- School of Clinical Medicine, Chengdu University of TCM, Chengdu, China
| | - Jin Fan
- School of Clinical Medicine, Chengdu University of TCM, Chengdu, China
| | - Qingsong Wang
- Department of Neurology, The General Hospital of Western Theater Command, Chengdu, China
| | - Dongdong Yang
- Department of Neurology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
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30
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Przybyl L, Wozna-Wysocka M, Kozlowska E, Fiszer A. What, When and How to Measure-Peripheral Biomarkers in Therapy of Huntington's Disease. Int J Mol Sci 2021; 22:ijms22041561. [PMID: 33557131 PMCID: PMC7913877 DOI: 10.3390/ijms22041561] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 01/29/2021] [Accepted: 01/29/2021] [Indexed: 12/11/2022] Open
Abstract
Among the main challenges in further advancing therapeutic strategies for Huntington’s disease (HD) is the development of biomarkers which must be applied to assess the efficiency of the treatment. HD is a dreadful neurodegenerative disorder which has its source of pathogenesis in the central nervous system (CNS) but is reflected by symptoms in the periphery. Visible symptoms include motor deficits and slight changes in peripheral tissues, which can be used as hallmarks for prognosis of the course of HD, e.g., the onset of the disease symptoms. Knowing how the pathology develops in the context of whole organisms is crucial for the development of therapy which would be the most beneficial for patients, as well as for proposing appropriate biomarkers to monitor disease progression and/or efficiency of treatment. We focus here on molecular peripheral biomarkers which could be used as a measurable outcome of potential therapy. We present and discuss a list of wet biomarkers which have been proposed in recent years to measure pre- and postsymptomatic HD. Interestingly, investigation of peripheral biomarkers in HD can unravel new aspects of the disease pathogenesis. This especially refers to inflammatory proteins or specific immune cells which attract scientific attention in neurodegenerative disorders.
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Affiliation(s)
- Lukasz Przybyl
- Laboratory of Mammalian Model Organisms, Institute of Bioorganic Chemistry Polish Academy of Sciences, 61-704 Poznan, Poland
- Correspondence: (L.P.); (A.F.)
| | - Magdalena Wozna-Wysocka
- Department of Medical Biotechnology, Institute of Bioorganic Chemistry Polish Academy of Sciences, 61-704 Poznan, Poland; (M.W.-W.); (E.K.)
| | - Emilia Kozlowska
- Department of Medical Biotechnology, Institute of Bioorganic Chemistry Polish Academy of Sciences, 61-704 Poznan, Poland; (M.W.-W.); (E.K.)
| | - Agnieszka Fiszer
- Department of Medical Biotechnology, Institute of Bioorganic Chemistry Polish Academy of Sciences, 61-704 Poznan, Poland; (M.W.-W.); (E.K.)
- Correspondence: (L.P.); (A.F.)
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Baldacci F, Lista S, Manca ML, Chiesa PA, Cavedo E, Lemercier P, Zetterberg H, Blennow K, Habert MO, Potier MC, Dubois B, Vergallo A, Hampel H. Age and sex impact plasma NFL and t-Tau trajectories in individuals with subjective memory complaints: a 3-year follow-up study. ALZHEIMERS RESEARCH & THERAPY 2020; 12:147. [PMID: 33183357 PMCID: PMC7663867 DOI: 10.1186/s13195-020-00704-4] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Accepted: 10/12/2020] [Indexed: 12/11/2022]
Abstract
Background Plasma neurofilament light (NFL) and total Tau (t-Tau) proteins are candidate biomarkers for early stages of Alzheimer’s disease (AD). The impact of biological factors on their plasma concentrations in individuals with subjective memory complaints (SMC) has been poorly explored. We longitudinally investigate the effect of sex, age, APOE ε4 allele, comorbidities, brain amyloid-β (Aβ) burden, and cognitive scores on plasma NFL and t-Tau concentrations in cognitively healthy individuals with SMC, a condition associated with AD development. Methods Three hundred sixteen and 79 individuals, respectively, have baseline and three-time point assessments (at baseline, 1-year, and 3-year follow-up) of the two biomarkers. Plasma biomarkers were measured with an ultrasensitive assay in a mono-center cohort (INSIGHT-preAD study). Results We show an effect of age on plasma NFL, with women having a higher increase of plasma t-Tau concentrations compared to men, over time. The APOE ε4 allele does not affect the biomarker concentrations while plasma vitamin B12 deficiency is associated with higher plasma t-Tau concentrations. Both biomarkers are correlated and increase over time. Baseline NFL is related to the rate of Aβ deposition at 2-year follow-up in the left-posterior cingulate and the inferior parietal gyri. Baseline plasma NFL and the rate of change of plasma t-Tau are inversely associated with cognitive score. Conclusion We find that plasma NFL and t-Tau longitudinal trajectories are affected by age and female sex, respectively, in SMC individuals. Exploring the influence of biological variables on AD biomarkers is crucial for their clinical validation in blood.
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Affiliation(s)
- Filippo Baldacci
- Sorbonne University, GRC n° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard de l'hôpital, F-75013, Paris, France. .,Department of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, 56125, Pisa, Italy.
| | - Simone Lista
- Sorbonne University, GRC n° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard de l'hôpital, F-75013, Paris, France.,Brain & Spine Institute (ICM), INSERM U 1127, CNRS UMR 7225, Boulevard de l'hôpital, F-75013, Paris, France.,Department of Neurology, Pitié-Salpêtrière Hospital, AP-HP, Boulevard de l'hôpital, Institute of Memory and Alzheimer's Disease (IM2A), F-75013, Paris, France
| | - Maria Laura Manca
- Department of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, 56125, Pisa, Italy.,Department of Mathematics, University of Pisa, Pisa, Italy
| | - Patrizia A Chiesa
- Sorbonne University, GRC n° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard de l'hôpital, F-75013, Paris, France.,Brain & Spine Institute (ICM), INSERM U 1127, CNRS UMR 7225, Boulevard de l'hôpital, F-75013, Paris, France.,Department of Neurology, Pitié-Salpêtrière Hospital, AP-HP, Boulevard de l'hôpital, Institute of Memory and Alzheimer's Disease (IM2A), F-75013, Paris, France
| | - Enrica Cavedo
- Sorbonne University, GRC n° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard de l'hôpital, F-75013, Paris, France.,Brain & Spine Institute (ICM), INSERM U 1127, CNRS UMR 7225, Boulevard de l'hôpital, F-75013, Paris, France.,Department of Neurology, Pitié-Salpêtrière Hospital, AP-HP, Boulevard de l'hôpital, Institute of Memory and Alzheimer's Disease (IM2A), F-75013, Paris, France.,Qynapse, Paris, France
| | - Pablo Lemercier
- Sorbonne University, GRC n° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard de l'hôpital, F-75013, Paris, France.,Brain & Spine Institute (ICM), INSERM U 1127, CNRS UMR 7225, Boulevard de l'hôpital, F-75013, Paris, France.,Department of Neurology, Pitié-Salpêtrière Hospital, AP-HP, Boulevard de l'hôpital, Institute of Memory and Alzheimer's Disease (IM2A), F-75013, Paris, France
| | - Henrik Zetterberg
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, London, UK.,UK Dementia Research Institute, London, UK
| | - Kaj Blennow
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Marie-Odile Habert
- Laboratoire d'Imagerie Biomédicale, Sorbonne University, CNRS, INSERM, F-75013, Paris, France.,Centre pour l'Acquisition et le Traitement des Images (www.cati-neuroimaging.com), Paris, France.,AP-HP, Hôpital Pitié-Salpêtrière, Département de Médecine Nucléaire, F-75013, Paris, France
| | - Marie Claude Potier
- ICM Institut du Cerveau et de la Moelle épinière, CNRS UMR7225, INSERM U1127, UPMC, Hôpital de la Pitié-Salpêtrière, 47 Bd de l'Hôpital, F-75013, Paris, France
| | - Bruno Dubois
- Sorbonne University, GRC n° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard de l'hôpital, F-75013, Paris, France.,Brain & Spine Institute (ICM), INSERM U 1127, CNRS UMR 7225, Boulevard de l'hôpital, F-75013, Paris, France.,Department of Neurology, Pitié-Salpêtrière Hospital, AP-HP, Boulevard de l'hôpital, Institute of Memory and Alzheimer's Disease (IM2A), F-75013, Paris, France
| | - Andrea Vergallo
- Sorbonne University, GRC n° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard de l'hôpital, F-75013, Paris, France
| | - Harald Hampel
- Sorbonne University, GRC n° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard de l'hôpital, F-75013, Paris, France
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Fluid Candidate Biomarkers for Alzheimer's Disease: A Precision Medicine Approach. J Pers Med 2020; 10:jpm10040221. [PMID: 33187336 PMCID: PMC7712586 DOI: 10.3390/jpm10040221] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Revised: 11/04/2020] [Accepted: 11/05/2020] [Indexed: 12/11/2022] Open
Abstract
A plethora of dynamic pathophysiological mechanisms underpins highly heterogeneous phenotypes in the field of dementia, particularly in Alzheimer's disease (AD). In such a faceted scenario, a biomarker-guided approach, through the implementation of specific fluid biomarkers individually reflecting distinct molecular pathways in the brain, may help establish a proper clinical diagnosis, even in its preclinical stages. Recently, ultrasensitive assays may detect different neurodegenerative mechanisms in blood earlier. ß-amyloid (Aß) peptides, phosphorylated-tau (p-tau), and neurofilament light chain (NFL) measured in blood are gaining momentum as candidate biomarkers for AD. P-tau is currently the more convincing plasma biomarker for the diagnostic workup of AD. The clinical role of plasma Aβ peptides should be better elucidated with further studies that also compare the accuracy of the different ultrasensitive techniques. Blood NFL is promising as a proxy of neurodegeneration process tout court. Protein misfolding amplification assays can accurately detect α-synuclein in cerebrospinal fluid (CSF), thus representing advancement in the pathologic stratification of AD. In CSF, neurogranin and YKL-40 are further candidate biomarkers tracking synaptic disruption and neuroinflammation, which are additional key pathophysiological pathways related to AD genesis. Advanced statistical analysis using clinical scores and biomarker data to bring together individuals with AD from large heterogeneous cohorts into consistent clusters may promote the discovery of pathophysiological causes and detection of tailored treatments.
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Mazzucchi S, Palermo G, Campese N, Galgani A, Della Vecchia A, Vergallo A, Siciliano G, Ceravolo R, Hampel H, Baldacci F. The role of synaptic biomarkers in the spectrum of neurodegenerative diseases. Expert Rev Proteomics 2020; 17:543-559. [PMID: 33028119 DOI: 10.1080/14789450.2020.1831388] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
INTRODUCTION The quest for reliable fluid biomarkers tracking synaptic disruption is supported by the evidence of a tight association between synaptic density and cognitive performance in neurodegenerative diseases (NDD), especially Alzheimer's disease (AD). AREAS COVERED Neurogranin (Ng) is a post-synaptic protein largely expressed in neurons involved in the memory networks. Currently, Ng measured in CSF is the most promising synaptic biomarker. Several studies show Ng elevated in AD dementia with a hippocampal phenotype as well as in MCI individuals who progress to AD. Ng concentrations are also increased in Creutzfeldt Jacob Disease where widespread and massive synaptic disintegration takes place. Ng does not discriminate Parkinson's disease from atypical parkinsonisms, nor is it altered in Huntington disease. CSF synaptosomal-associated protein 25 (SNAP-25) and synaptotagmin-1 (SYT-1) are emerging candidates. EXPERT OPINION CSF Ng revealed a role as a diagnostic and prognostic biomarker in NDD. Ng increase seems to be very specific for typical AD phenotype, probably for a prevalent hippocampal involvement. Synaptic biomarkers may serve different context-of-use in AD and other NDD including prognosis, diagnosis, and tracking synaptic damage - a critical pathophysiological mechanism in NDD - thus representing reliable tools for a precision medicine-oriented approach to NDD.
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Affiliation(s)
- Sonia Mazzucchi
- Department of Clinical and Experimental Medicine, University of Pisa , Pisa, Italy
| | - Giovanni Palermo
- Department of Clinical and Experimental Medicine, University of Pisa , Pisa, Italy
| | - Nicole Campese
- Department of Clinical and Experimental Medicine, University of Pisa , Pisa, Italy
| | - Alessandro Galgani
- Department of Clinical and Experimental Medicine, University of Pisa , Pisa, Italy
| | | | - Andrea Vergallo
- Sorbonne University, GRC N° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard de L'hôpital , Paris, France.,Brain & Spine Institute (ICM), INSERM U1127 , Paris, France.,Department of Neurology, Institute of Memory and Alzheimer's Disease (IM2A), Pitié-Salpêtrière Hospital, AP-HP , Paris, France
| | - Gabriele Siciliano
- Department of Clinical and Experimental Medicine, University of Pisa , Pisa, Italy
| | - Roberto Ceravolo
- Department of Clinical and Experimental Medicine, University of Pisa , Pisa, Italy
| | - Harald Hampel
- Sorbonne University, GRC N° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard de L'hôpital , Paris, France
| | - Filippo Baldacci
- Department of Clinical and Experimental Medicine, University of Pisa , Pisa, Italy.,Sorbonne University, GRC N° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard de L'hôpital , Paris, France
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