1
|
Gao H, Liu X, Venkat P, Findeis E, Zacharek A, Powell B, Mccann M, Kim H, Zhang Z, Chopp M. Treatment of vascular dementia in female rats with AV-001, an Angiopoietin-1 mimetic peptide, improves cognitive function. Front Neurosci 2024; 18:1408205. [PMID: 39050669 PMCID: PMC11266070 DOI: 10.3389/fnins.2024.1408205] [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: 03/27/2024] [Accepted: 06/25/2024] [Indexed: 07/27/2024] Open
Abstract
Background Vascular dementia (VaD) is a complex neurodegenerative disorder. We previously found that treatment of VaD in middle-aged male rats subjected to multiple microinfarction (MMI) with AV-001, a Tie2 receptor agonist, significantly improves cognitive function. Age and sex affect the development and response of VaD to therapeutic intervention. Thus, the present study investigated the therapeutic effect of AV-001 on VaD in aged female rats subjected to MMI. Methods Female 18-month-old Wistar rats were subjected to MMI by injecting either 1,000 (low dose, LD-MMI) or 6,000 (high dose, HD-MMI) cholesterol crystals of size 70-100 μm into the right internal carotid artery. AV-001 (1 μg/Kg, i.p.) was administered once daily after MMI for 1 month, with treatment initiated 1 day after MMI. A battery of behavioral tests to examine sensorimotor and cognitive functions was performed at 21-28 days after MMI. All rats were sacrificed at 1 month after MMI. Results Aged female rats subjected to LD-MMI exhibit severe neurological deficits, memory impairment, and significant white matter (WM) and oligodendrogenesis injury in the corpus callosum compared with control rats. HD-MMI in aged female rats induces significant anxiety- and depression-like behaviors, which were not detected in LD-MMI aged female rats. Also, HD-MMI induces significantly increased WM injury compared to LD-MMI. AV-001 treatment of LD-MMI and HD-MMI increases oligodendrogenesis, myelin and axon density in the corpus callosum and striatal WM bundles, promotes WM integrity and attenuates neurological and cognitive deficits. Additionally, both LD-MMI and HD-MMI rats exhibit a significant increase, while AV-001 significantly decreases the levels of inflammatory factors in the cerebrospinal fluid (CSF). Conclusion MMI reduces oligodendrogenesis, and induces demyelination, axonal injury and WM injury, and causes memory impairment, while HD-MMI induces increased WM injury and further depression-like behaviors compared to LD-MMI rats. AV-001 has a therapeutic effect on aged female rats with MMI by reducing WM damage and improving neuro-cognitive outcomes.
Collapse
Affiliation(s)
- Huanjia Gao
- Department of Neurology, Henry Ford Hospital, Detroit, MI, United States
| | - Xianshuang Liu
- Department of Neurology, Henry Ford Hospital, Detroit, MI, United States
| | - Poornima Venkat
- Department of Neurology, Henry Ford Hospital, Detroit, MI, United States
| | - Elizabeth Findeis
- Department of Neurology, Henry Ford Hospital, Detroit, MI, United States
| | - Alex Zacharek
- Department of Neurology, Henry Ford Hospital, Detroit, MI, United States
| | - Brianna Powell
- Department of Neurology, Henry Ford Hospital, Detroit, MI, United States
| | - Mikkala Mccann
- Department of Neurology, Henry Ford Hospital, Detroit, MI, United States
| | - Harold Kim
- Vasomune Therapeutics Inc., Toronto, ON, Canada
| | - Zhenggang Zhang
- Department of Neurology, Henry Ford Hospital, Detroit, MI, United States
| | - Michael Chopp
- Department of Neurology, Henry Ford Hospital, Detroit, MI, United States
- Department of Physics, Oakland University, Rochester, MI, United States
| |
Collapse
|
2
|
A Scoping Review on Body Fluid Biomarkers for Prognosis and Disease Activity in Patients with Multiple Sclerosis. J Pers Med 2022; 12:jpm12091430. [PMID: 36143216 PMCID: PMC9501898 DOI: 10.3390/jpm12091430] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 08/22/2022] [Accepted: 08/27/2022] [Indexed: 11/30/2022] Open
Abstract
Multiple sclerosis (MS) is a complex demyelinating disease of the central nervous system, presenting with different clinical forms, including clinically isolated syndrome (CIS), which is a first clinical episode suggestive of demyelination. Several molecules have been proposed as prognostic biomarkers in MS. We aimed to perform a scoping review of the potential use of prognostic biomarkers in MS clinical practice. We searched MEDLINE up to 25 November 2021 for review articles assessing body fluid biomarkers for prognostic purposes, including any type of biomarkers, cell types and tissues. Original articles were obtained to confirm and detail the data reported by the review authors. We evaluated the reliability of the biomarkers based on the sample size used by various studies. Fifty-two review articles were included. We identified 110 molecules proposed as prognostic biomarkers. Only six studies had an adequate sample size to explore the risk of conversion from CIS to MS. These confirm the role of oligoclonal bands, immunoglobulin free light chain and chitinase CHI3L1 in CSF and of serum vitamin D in the prediction of conversion from CIS to clinically definite MS. Other prognostic markers are not yet explored in adequately powered samples. Serum and CSF levels of neurofilaments represent a promising biomarker.
Collapse
|
3
|
LoPresti P. Serum-Based Biomarkers in Neurodegeneration and Multiple Sclerosis. Biomedicines 2022; 10:biomedicines10051077. [PMID: 35625814 PMCID: PMC9138270 DOI: 10.3390/biomedicines10051077] [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: 02/09/2022] [Revised: 04/27/2022] [Accepted: 04/29/2022] [Indexed: 02/04/2023] Open
Abstract
Multiple Sclerosis (MS) is a debilitating disease with typical onset between 20 and 40 years of age, so the disability associated with this disease, unfortunately, occurs in the prime of life. At a very early stage of MS, the relapsing-remitting mobility impairment occurs in parallel with a progressive decline in cognition, which is subclinical. This stage of the disease is considered the beginning of progressive MS. Understanding where a patient is along such a subclinical phase could be critical for therapeutic efficacy and enrollment in clinical trials to test drugs targeted at neurodegeneration. Since the disease course is uneven among patients, biomarkers are needed to provide insights into pathogenesis, diagnosis, and prognosis of events that affect neurons during this subclinical phase that shapes neurodegeneration and disability. Thus, subclinical cognitive decline must be better understood. One approach to this problem is to follow known biomarkers of neurodegeneration over time. These biomarkers include Neurofilament, Tau and phosphotau protein, amyloid-peptide-β, Brl2 and Brl2-23, N-Acetylaspartate, and 14-3-3 family proteins. A composite set of these serum-based biomarkers of neurodegeneration might provide a distinct signature in early vs. late subclinical cognitive decline, thus offering additional diagnostic criteria for progressive neurodegeneration and response to treatment. Studies on serum-based biomarkers are described together with selective studies on CSF-based biomarkers and MRI-based biomarkers.
Collapse
Affiliation(s)
- Patrizia LoPresti
- Department of Psychology, The University of Illinois at Chicago, 1007 West Harrison Street, Chicago, IL 60607, USA
| |
Collapse
|
4
|
Nova A, Fazia T, Beecham A, Saddi V, Piras M, McCauley JL, Berzuini C, Bernardinelli L. Plasma Protein Levels Analysis in Multiple Sclerosis Sardinian Families Identified C9 and CYP24A1 as Candidate Biomarkers. Life (Basel) 2022; 12:life12020151. [PMID: 35207439 PMCID: PMC8879906 DOI: 10.3390/life12020151] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 01/05/2022] [Accepted: 01/13/2022] [Indexed: 12/24/2022] Open
Abstract
Here we investigate protein levels in 69 multiple sclerosis (MS) cases and 143 healthy controls (HC) from twenty Sardinian families to search for promising biomarkers in plasma. Using antibody suspension bead array technology, the plasma levels of 56 MS-related proteins were obtained. Differences between MS cases and HC were estimated using Linear Mixed Models or Linear Quantile Mixed Models. The proportion of proteins level variability, explained by a set of 119 MS-risk SNPs as to the literature, was also quantified. Higher plasma C9 and CYP24A1 levels were found in MS cases compared to HC (p < 0.05 after Holm multiple testing correction), with protein level differences estimated as, respectively, 0.53 (95% CI: 0.25, 0.81) and 0.42 (95% CI: 0.19, 0.65) times plasma level standard deviation measured in HC. Furthermore, C9 resulted in both statistically significantly higher relapsing-remitting MS (RRMS) and secondary-progressive MS (SPMS) compared to HC, with SPMS showing the highest differences. Instead, CYP24A1 was statistically significantly higher only in RRMS as compared to HC. Respectively, 26% (95% CI: 10%, 44%) and 16% (95% CI: 9%, 39%) of CYP24A1 and C9 plasma level variability was explained by known MS-risk SNPs. Our results highlight C9 and CYP24A1 as potential biomarkers in plasma for MS and allow us to gain insight into molecular disease mechanisms.
Collapse
Affiliation(s)
- Andrea Nova
- Department of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy; (T.F.); (L.B.)
- Correspondence:
| | - Teresa Fazia
- Department of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy; (T.F.); (L.B.)
| | - Ashley Beecham
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL 33146, USA; (A.B.); (J.L.M.)
- Dr. John T. Macdonald Foundation Department of Human Genetics, Miller School of Medicine, Miami, FL 33136, USA
| | - Valeria Saddi
- Divisione di Neurologia, Presidio Ospedaliero S. Francesco, ASL Numero 3 Nuoro, 08100 Nuoro, Italy; (V.S.); (M.P.)
| | - Marialuisa Piras
- Divisione di Neurologia, Presidio Ospedaliero S. Francesco, ASL Numero 3 Nuoro, 08100 Nuoro, Italy; (V.S.); (M.P.)
| | - Jacob L. McCauley
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL 33146, USA; (A.B.); (J.L.M.)
- Dr. John T. Macdonald Foundation Department of Human Genetics, Miller School of Medicine, Miami, FL 33136, USA
| | - Carlo Berzuini
- Centre for Biostatistics, The University of Manchester, Manchester M13 9PL, UK;
| | - Luisa Bernardinelli
- Department of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy; (T.F.); (L.B.)
| |
Collapse
|
5
|
Martins F, Santos I, da Cruz E Silva OAB, Tambaro S, Rebelo S. The role of the integral type II transmembrane protein BRI2 in health and disease. Cell Mol Life Sci 2021; 78:6807-6822. [PMID: 34480585 PMCID: PMC11072861 DOI: 10.1007/s00018-021-03932-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 08/07/2021] [Accepted: 08/26/2021] [Indexed: 10/20/2022]
Abstract
BRI2 is a type II transmembrane protein ubiquitously expressed whose physiological function remains poorly understood. Although several recent important advances have substantially impacted on our understanding of BRI2 biology and function, providing valuable information for further studies on BRI2. These findings have contributed to a better understanding of BRI2 biology and the underlying signaling pathways involved. In turn, these might provide novel insights with respect to neurodegeneration processes inherent to BRI2-related pathologies, namely Familial British and Danish dementias, Alzheimer's disease, ITM2B-related retinal dystrophy, and multiple sclerosis. In this review, we provided a state-of-the-art outline of BRI2 biology, both in physiological and pathological conditions, and discuss the proposed molecular underlying mechanisms. Overall, the BRI2 knowledge here reviewed is of extreme importance and may contribute to propose BRI2 and/or BRI2 proteolytic fragments as novel therapeutic targets for neurodegenerative diseases, such as Alzheimer's disease.
Collapse
Affiliation(s)
- Filipa Martins
- Neuroscience and Signaling Laboratory, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, 3810-193, Aveiro, Portugal.
| | - Isabela Santos
- Neuroscience and Signaling Laboratory, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, 3810-193, Aveiro, Portugal
| | - Odete A B da Cruz E Silva
- Neuroscience and Signaling Laboratory, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, 3810-193, Aveiro, Portugal
| | - Simone Tambaro
- Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Institutet, 141 83, Huddinge, Sweden.
| | - Sandra Rebelo
- Neuroscience and Signaling Laboratory, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, 3810-193, Aveiro, Portugal.
| |
Collapse
|
6
|
Proteomics of Multiple Sclerosis: Inherent Issues in Defining the Pathoetiology and Identifying (Early) Biomarkers. Int J Mol Sci 2021; 22:ijms22147377. [PMID: 34298997 PMCID: PMC8306353 DOI: 10.3390/ijms22147377] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2021] [Revised: 06/25/2021] [Accepted: 06/29/2021] [Indexed: 02/06/2023] Open
Abstract
Multiple Sclerosis (MS) is a demyelinating disease of the human central nervous system having an unconfirmed pathoetiology. Although animal models are used to mimic the pathology and clinical symptoms, no single model successfully replicates the full complexity of MS from its initial clinical identification through disease progression. Most importantly, a lack of preclinical biomarkers is hampering the earliest possible diagnosis and treatment. Notably, the development of rationally targeted therapeutics enabling pre-emptive treatment to halt the disease is also delayed without such biomarkers. Using literature mining and bioinformatic analyses, this review assessed the available proteomic studies of MS patients and animal models to discern (1) whether the models effectively mimic MS; and (2) whether reasonable biomarker candidates have been identified. The implication and necessity of assessing proteoforms and the critical importance of this to identifying rational biomarkers are discussed. Moreover, the challenges of using different proteomic analytical approaches and biological samples are also addressed.
Collapse
|
7
|
Shodeinde AB, Murphy AC, Oldenkamp HF, Potdar AS, Ludolph CM, Peppas NA. Recent Advances in Smart Biomaterials for the Detection and Treatment of Autoimmune Diseases. ADVANCED FUNCTIONAL MATERIALS 2020; 30:1909556. [PMID: 33071713 PMCID: PMC7566744 DOI: 10.1002/adfm.201909556] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Accepted: 01/15/2020] [Indexed: 05/07/2023]
Abstract
Autoimmune diseases are a group of debilitating illnesses that are often idiopathic in nature. The steady rise in the prevalence of these conditions warrants new approaches for diagnosis and treatment. Stimuli-responsive biomaterials also known as "smart", "intelligent" or "recognitive" biomaterials are widely studied for their applications in drug delivery, biosensing and tissue engineering due to their ability to produce thermal, optical, chemical, or structural changes upon interacting with the biological environment. This critical analysis highlights studies within the last decade that harness the recognitive capabilities of these biomaterials towards the development of novel detection and treatment options for autoimmune diseases.
Collapse
Affiliation(s)
- Aaliyah B. Shodeinde
- McKetta Department of Chemical Engineering, 200 E. Dean Keeton St. Stop C0400, Austin, TX, USA, 78712
- Institute for Biomaterials, Drug Delivery, and Regenerative Medicine, The University of Texas at Austin, 107 W Dean Keeton Street Stop C0800, Austin, TX, USA, 78712
| | - Andrew C. Murphy
- McKetta Department of Chemical Engineering, 200 E. Dean Keeton St. Stop C0400, Austin, TX, USA, 78712
- Institute for Biomaterials, Drug Delivery, and Regenerative Medicine, The University of Texas at Austin, 107 W Dean Keeton Street Stop C0800, Austin, TX, USA, 78712
| | - Heidi F. Oldenkamp
- McKetta Department of Chemical Engineering, 200 E. Dean Keeton St. Stop C0400, Austin, TX, USA, 78712
- Institute for Biomaterials, Drug Delivery, and Regenerative Medicine, The University of Texas at Austin, 107 W Dean Keeton Street Stop C0800, Austin, TX, USA, 78712
| | - Abhishek S. Potdar
- Department of Biomedical Engineering, The University of Texas at Austin, 107 W Dean Keeton Street Stop C0800, Austin, TX, USA, 78712
| | - Catherine M. Ludolph
- McKetta Department of Chemical Engineering, 200 E. Dean Keeton St. Stop C0400, Austin, TX, USA, 78712
| | - Nicholas A. Peppas
- McKetta Department of Chemical Engineering, 200 E. Dean Keeton St. Stop C0400, Austin, TX, USA, 78712
- Institute for Biomaterials, Drug Delivery, and Regenerative Medicine, The University of Texas at Austin, 107 W Dean Keeton Street Stop C0800, Austin, TX, USA, 78712
- Department of Biomedical Engineering, The University of Texas at Austin, 107 W Dean Keeton Street Stop C0800, Austin, TX, USA, 78712
- Division of Molecular Pharmaceutics and Drug Delivery, College of Pharmacy, The University of Texas at Austin, 2409 University Ave. Stop A1900, Austin, TX, USA, 78712
- Department of Surgery and Perioperative Care, Dell Medical School, 1601 Trinity St., Bldg. B, Stop Z0800, Austin, TX, USA, 78712
- Department of Pediatrics, Dell Medical School, 1400 Barbara Jordan Blvd., Austin, TX, USA, 78723
| |
Collapse
|
8
|
Demiryurek BE, Gundogdu AA. Serum Fetuin-A Levels in Patients with Bilateral Basal Ganglia Calcification. Neurosci Lett 2017; 666:148-152. [PMID: 29288724 DOI: 10.1016/j.neulet.2017.12.050] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2017] [Revised: 12/21/2017] [Accepted: 12/22/2017] [Indexed: 01/25/2023]
Abstract
BACKGROUND AND PURPOSE The idiopathic basal ganglia calcification (Fahr syndrome) may occur due to senility. Fetuin-A is a negative acute phase reactant which inhibits calcium-phosphorus precipitation and vascular calcification. In this study, we aimed to evaluate whether serum fetuin-A levels correlate with bilateral basal ganglia calcification. METHOD Forty-five patients who had bilateral basal ganglia calcification on brain CT were selected according to the inclusion and exclusion criteria, and 45 age and gender-matched subjects without basal ganglia calcification were included for the control group. Serum fetuin-A levels were measured from venous blood samples. All participants were divided into two groups; with and without basal ganglia calcification. These groups were divided into subgroups regarding age (18-32 and 33-45 years of age) and gender (male, female). RESULTS We detected lower levels of serum fetuin-A in patients with basal ganglia calcification compared with the subjects without basal ganglia calcification. In all subgroups (female, male, 18-32 years and 33-45 years), mean fetuin-A levels were significantly lower in patients with basal ganglia calcification (p = 0.017, p = 0.014, p = 0.024, p = 0.026, p = 0.01 respectively). And statistically significantly lower levels of fetuin-A was found to be correlated with the increasing densities of calcification in the calcified basal ganglia group (p-value: <0.001). CONCLUSION Considering the role of fetuin-A in tissue calcification and inflammation, higher serum fetuin-A levels should be measured in patients with basal ganglia calcification. We believe that the measurement of serum fetuin-A may play a role in the prediction of basal ganglia calcification as a biomarker.
Collapse
|
9
|
Lycke J, Zetterberg H. The role of blood and CSF biomarkers in the evaluation of new treatments against multiple sclerosis. Expert Rev Clin Immunol 2017; 13:1143-1153. [PMID: 29090607 DOI: 10.1080/1744666x.2017.1400380] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
INTRODUCTION Multiple sclerosis (MS) is an immune-mediated chronic neurodegenerative disease of the central nervous system (CNS). Therapeutic interventions with immunomodulatory agents reduce disease activity and disability development, which are monitored clinically and by magnetic resonance imaging (MRI). However, these measures largely lack information on the impact from these therapies on inflammation, demyelination and axonal injury, the essential pathophysiological features of MS. Several biomarkers for inflammation and neurodegeneration have been detected in cerebrospinal fluid (CSF). In MS, some of these biomarkers seem to reflect disease activity, disability progression, and therapeutic response. Areas covered: In this review, we describe the most promising CSF biomarkers of inflammation and degeneration for monitoring therapeutic interventions in MS. We also describe the evolution of highly sensitive immunoassays that enable determination of neuron-specific biomarkers in blood. Expert commentary: Together with clinical and MRI measures, CSF biomarkers may improve the assessment of therapeutic efficacy and make personalized treatment possible. One disadvantage has been the need of repetitive lumbar punctures to obtain CSF. However, the technical development of highly sensitive immunoassays allows determination of extremely low quantities of neuron-specific proteins in blood. This will potentially open a new era for monitoring disease activity and treatment response in MS.
Collapse
Affiliation(s)
- Jan Lycke
- a Department of Clinical Neuroscience, Institute of Neuroscience and Physiology , The Sahlgrenska Academy, University of Gothenburg , Gothenburg , Sweden
| | - Henrik Zetterberg
- b Department of Psychiatry and Neurochemistry; Institute of Neuroscience and Physiology at Sahlgrenska Academy , University of Gothenburg , Gothenburg , Sweden.,c Clinical Neurochemistry Laboratory , Sahlgrenska University Hospital , Mölndal , Sweden.,d Department of Molecular Neuroscience , UCL Institute of Neurology , London , UK.,e UK Dementia Research Institute , London , UK
| |
Collapse
|
10
|
Opsahl JA, Vaudel M, Guldbrandsen A, Aasebø E, Van Pesch V, Franciotta D, Myhr KM, Barsnes H, Berle M, Torkildsen Ø, Kroksveen AC, Berven FS. Label-free analysis of human cerebrospinal fluid addressing various normalization strategies and revealing protein groups affected by multiple sclerosis. Proteomics 2016; 16:1154-65. [PMID: 26841090 DOI: 10.1002/pmic.201500284] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2015] [Revised: 12/08/2015] [Accepted: 01/28/2016] [Indexed: 11/05/2022]
Abstract
The aims of the study were to: (i) identify differentially regulated proteins in cerebrospinal fluid (CSF) between multiple sclerosis (MS) patients and non-MS controls; (ii) examine the effect of matching the CSF samples on either total protein amount or volume, and compare four protein normalization strategies for CSF protein quantification. CSF from MS patients (n = 37) and controls (n = 64), consisting of other noninflammatory neurological diseases (n = 50) and non neurological spinal anesthetic subjects (n = 14), were analyzed using label-free proteomics, quantifying almost 800 proteins. In total, 122 proteins were significantly regulated (p < 0.05), where 77 proteins had p-value <0.01 or AUC value >0.75. Hierarchical clustering indicated that there were two main groups of MS patients, those with increased levels of inflammatory response proteins and decreased levels of proteins involved in neuronal tissue development (n = 30), and those with normal protein levels for both of these protein groups (n = 7). The main subgroup of controls clustering with the MS patients showing increased inflammation and decreased neuronal tissue development were patients suffering from chronic fatigue. Our data indicate that the preferable way to quantify proteins in CSF is to first match the samples on total protein amount and then normalize the data based on the median intensities, preferably from the CNS-enriched proteins.
Collapse
Affiliation(s)
- Jill A Opsahl
- Proteomics Unit (PROBE), Department of Biomedicine, University of Bergen, Bergen, Norway.,The KG Jebsen Centre for MS-research, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Marc Vaudel
- Proteomics Unit (PROBE), Department of Biomedicine, University of Bergen, Bergen, Norway
| | - Astrid Guldbrandsen
- Proteomics Unit (PROBE), Department of Biomedicine, University of Bergen, Bergen, Norway.,The KG Jebsen Centre for MS-research, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Elise Aasebø
- Proteomics Unit (PROBE), Department of Biomedicine, University of Bergen, Bergen, Norway
| | - Vincent Van Pesch
- Neurology Department, Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium
| | - Diego Franciotta
- Laboratory of Neuroimmunology, IRCCS, "C. Mondino" National Neurological Institute, Pavia, Italy
| | - Kjell-Morten Myhr
- The KG Jebsen Centre for MS-research, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Harald Barsnes
- Proteomics Unit (PROBE), Department of Biomedicine, University of Bergen, Bergen, Norway.,Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Magnus Berle
- Proteomics Unit (PROBE), Department of Biomedicine, University of Bergen, Bergen, Norway.,Surgical Clinic, Haukeland University Hospital, Bergen, Norway
| | - Øivind Torkildsen
- The KG Jebsen Centre for MS-research, Department of Clinical Medicine, University of Bergen, Bergen, Norway.,The Norwegian Multiple Sclerosis Competence Centre, Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Ann C Kroksveen
- Proteomics Unit (PROBE), Department of Biomedicine, University of Bergen, Bergen, Norway.,The KG Jebsen Centre for MS-research, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Frode S Berven
- Proteomics Unit (PROBE), Department of Biomedicine, University of Bergen, Bergen, Norway.,The KG Jebsen Centre for MS-research, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| |
Collapse
|
11
|
Hassan D, Provansal M, Lehmann S, Rizk M, Moez P, Vialaret J, Hirtz C, Essa A, Agamia H. Proteomic profile of cerebrospinal fluid in patients with multiple sclerosis using two dimensional gel electrophoresis. Br J Biomed Sci 2016; 73:143-146. [PMID: 27254308 DOI: 10.1080/09674845.2016.1186310] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
- Dina Hassan
- a Faculty of Medicine, Department of Clinical Pathology , Alexandria University , Alexandria , Egypt
| | - Monique Provansal
- b CHRU de Montpellier and Université de Montpellier, IRMB, Laboratoire de Biochimie Protéomique Clinique , Montpellier , France
| | - Sylvain Lehmann
- b CHRU de Montpellier and Université de Montpellier, IRMB, Laboratoire de Biochimie Protéomique Clinique , Montpellier , France
| | - Moustafa Rizk
- a Faculty of Medicine, Department of Clinical Pathology , Alexandria University , Alexandria , Egypt
| | - Pacint Moez
- a Faculty of Medicine, Department of Clinical Pathology , Alexandria University , Alexandria , Egypt
| | - Jerome Vialaret
- b CHRU de Montpellier and Université de Montpellier, IRMB, Laboratoire de Biochimie Protéomique Clinique , Montpellier , France
| | - Christophe Hirtz
- b CHRU de Montpellier and Université de Montpellier, IRMB, Laboratoire de Biochimie Protéomique Clinique , Montpellier , France
| | - Ayman Essa
- c Faculty of Medicine, Department of Neuropsychiatry , Alexandria University , Alexandria , Egypt
| | - Hussein Agamia
- d Faculty of Medicine, Department of Anesthesia and Surgical Care , Alexandria University , Alexandria , Egypt
| |
Collapse
|
12
|
Fitzner B, Hecker M, Zettl UK. Molecular biomarkers in cerebrospinal fluid of multiple sclerosis patients. Autoimmun Rev 2015; 14:903-13. [PMID: 26071103 DOI: 10.1016/j.autrev.2015.06.001] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2015] [Accepted: 06/03/2015] [Indexed: 12/15/2022]
Abstract
Multiple sclerosis (MS) is a chronic immune-mediated disease of the central nervous system, usually occurring in young adults and leading to disability. Despite the progress in technology and intensive research work of the last years, diagnosing MS can still be challenging. A heterogenic and complex pathophysiology with various types of disease courses makes MS unique for each patient. There is an urgent need to identify markers facilitating rapid and accurate diagnosis and prognostic assessments with regard to optimal therapy for each MS patient. Cerebrospinal fluid (CSF) is an outstanding source of specific markers related to MS pathology. Molecules reflecting specific pathological processes, such as inflammation, cellular damage, and loss of blood-brain-barrier integrity, are detectable in CSF. Clinically used biomarkers of CSF are oligoclonal bands, IgG-index, measles-rubella-zoster-reaction, anti-aquaporin 4 antibodies, and antibodies against John Cunningham virus. Many other potential biomarkers have been proposed in recent years. In this review we examine the current scientific knowledge on CSF molecular markers that could guide diagnosis and discrimination of different MS forms, support treatment decisions, or be helpful in monitoring and predicting disease progression, therapy response, and complications such as opportunistic infections.
Collapse
Affiliation(s)
- Brit Fitzner
- University Medicine Rostock, Department of Neurology, Division of Neuroimmunology, Gehlsheimer Str. 20, 18147 Rostock, Germany; STZ for Proteome Analysis, Schillingallee 69, 18057 Rostock, Germany.
| | - Michael Hecker
- University Medicine Rostock, Department of Neurology, Division of Neuroimmunology, Gehlsheimer Str. 20, 18147 Rostock, Germany; STZ for Proteome Analysis, Schillingallee 69, 18057 Rostock, Germany.
| | - Uwe Klaus Zettl
- STZ for Proteome Analysis, Schillingallee 69, 18057 Rostock, Germany.
| |
Collapse
|
13
|
Kroksveen AC, Opsahl JA, Guldbrandsen A, Myhr KM, Oveland E, Torkildsen Ø, Berven FS. Cerebrospinal fluid proteomics in multiple sclerosis. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2014; 1854:746-56. [PMID: 25526888 DOI: 10.1016/j.bbapap.2014.12.013] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2014] [Revised: 11/27/2014] [Accepted: 12/11/2014] [Indexed: 12/31/2022]
Abstract
Multiple sclerosis (MS) is an immune mediated chronic inflammatory disease of the central nervous system usually initiated during young adulthood, affecting approximately 2.5 million people worldwide. There is currently no cure for MS, but disease modifying treatment has become increasingly more effective, especially when started in the first phase of the disease. The disease course and prognosis are often unpredictable and it can be challenging to determine an early diagnosis. The detection of novel biomarkers to understand more of the disease mechanism, facilitate early diagnosis, predict disease progression, and find treatment targets would be very attractive. Over the last decade there has been an increasing effort toward finding such biomarker candidates. One promising strategy has been to use state-of-the-art quantitative proteomics approaches to compare the cerebrospinal fluid (CSF) proteome between MS and control patients or between different subgroups of MS. In this review we summarize and discuss the status of CSF proteomics in MS, including the latest findings with a focus on the last five years. This article is part of a Special Issue entitled: Neuroproteomics: Applications in Neuroscience and Neurology.
Collapse
Affiliation(s)
- Ann C Kroksveen
- Proteomics Unit (PROBE), Department of Biomedicine, University of Bergen, Postbox 7804, N-5009 Bergen, Norway; The KG Jebsen Centre for MS-Research, Department of Clinical Medicine, University of Bergen, Postbox 7804, N-5021 Bergen, Norway
| | - Jill A Opsahl
- Proteomics Unit (PROBE), Department of Biomedicine, University of Bergen, Postbox 7804, N-5009 Bergen, Norway; The KG Jebsen Centre for MS-Research, Department of Clinical Medicine, University of Bergen, Postbox 7804, N-5021 Bergen, Norway
| | - Astrid Guldbrandsen
- Proteomics Unit (PROBE), Department of Biomedicine, University of Bergen, Postbox 7804, N-5009 Bergen, Norway
| | - Kjell-Morten Myhr
- The KG Jebsen Centre for MS-Research, Department of Clinical Medicine, University of Bergen, Postbox 7804, N-5021 Bergen, Norway; Department of Neurology, Haukeland University Hospital, Postbox 1400, 5021 Bergen, Norway; The Norwegian Multiple Sclerosis Competence Centre, Department of Neurology, Haukeland University Hospital, Postbox 1400, 5021 Bergen, Norway
| | - Eystein Oveland
- Proteomics Unit (PROBE), Department of Biomedicine, University of Bergen, Postbox 7804, N-5009 Bergen, Norway; The KG Jebsen Centre for MS-Research, Department of Clinical Medicine, University of Bergen, Postbox 7804, N-5021 Bergen, Norway
| | - Øivind Torkildsen
- The KG Jebsen Centre for MS-Research, Department of Clinical Medicine, University of Bergen, Postbox 7804, N-5021 Bergen, Norway; Department of Neurology, Haukeland University Hospital, Postbox 1400, 5021 Bergen, Norway; The Norwegian Multiple Sclerosis Competence Centre, Department of Neurology, Haukeland University Hospital, Postbox 1400, 5021 Bergen, Norway
| | - Frode S Berven
- Proteomics Unit (PROBE), Department of Biomedicine, University of Bergen, Postbox 7804, N-5009 Bergen, Norway; The KG Jebsen Centre for MS-Research, Department of Clinical Medicine, University of Bergen, Postbox 7804, N-5021 Bergen, Norway; The Norwegian Multiple Sclerosis Competence Centre, Department of Neurology, Haukeland University Hospital, Postbox 1400, 5021 Bergen, Norway.
| |
Collapse
|
14
|
Abstract
Multiple sclerosis (MS) is an autoimmune disease of unknown cause, in which chronic inflammation drives multifocal demyelination of axons in both white and gray matter in the CNS. The pathological course of the disease is heterogeneous and involves an early, predominantly inflammatory demyelinating disease phase of relapsing-remitting MS (RRMS), which, over a variable period of time, evolves into a progressively degenerative stage associated with axonal loss and scar formation, causing physical and cognitive disability. For patients with RRMS, there is a growing arsenal of disease-modifying agents (DMAs), with varying degrees of efficacy, as defined by reduced relapse rates, improved magnetic resonance imaging outcomes, and preservation of neurological function. Establishment of personalized treatment plans remains one of the biggest challenges in therapeutic decision-making in MS because the disease prognosis and individual therapeutic outcomes are extremely difficult to predict. Current research is aimed at discovery and validation of biomarkers that reliably measure disease progression and effective therapeutic intervention. Individual biomarker candidates with evident clinical utility are highlighted in this review and include neutralizing autoantibodies against DMAs, fetuin-A, osteopontin, isoprostanes, chemokine (C-X-C motif) ligand 13 (CXCL13), neurofilament light and heavy, and chitinase 3-like protein. In addition, application of more advanced screening technologies has opened up new categories of biomarkers that move beyond detection of individual soluble proteins, including gene expression and autoantibody arrays, microRNAs, and circulating microvesicles/exosomes. Development of clinically useful biomarkers in MS will not only shape the practice of personalized medicine but will also serve as surrogate markers to enable investigation of innovative treatments within clinical trials that are less costly, are of shorter duration, and have more certainty of outcomes.
Collapse
Affiliation(s)
- Violaine K. Harris
- Tisch Multiple Sclerosis Research Center of New York, 521 West 57th Street, New York, NY 10019 USA
| | - Saud A. Sadiq
- Tisch Multiple Sclerosis Research Center of New York, 521 West 57th Street, New York, NY 10019 USA
| |
Collapse
|
15
|
Byström S, Ayoglu B, Häggmark A, Mitsios N, Hong MG, Drobin K, Forsström B, Fredolini C, Khademi M, Amor S, Uhlén M, Olsson T, Mulder J, Nilsson P, Schwenk JM. Affinity proteomic profiling of plasma, cerebrospinal fluid, and brain tissue within multiple sclerosis. J Proteome Res 2014; 13:4607-19. [PMID: 25231264 DOI: 10.1021/pr500609e] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
The brain is a vital organ and because it is well shielded from the outside environment, possibilities for noninvasive analysis are often limited. Instead, fluids taken from the spinal cord or circulatory system are preferred sources for the discovery of candidate markers within neurological diseases. In the context of multiple sclerosis (MS), we applied an affinity proteomic strategy and screened 22 plasma samples with 4595 antibodies (3450 genes) on bead arrays, then defined 375 antibodies (334 genes) for targeted analysis in a set of 172 samples and finally used 101 antibodies (43 genes) on 443 plasma as well as 573 cerebrospinal spinal fluid (CSF) samples. This revealed alteration of protein profiles in relation to MS subtypes for IRF8, IL7, METTL14, SLC30A7, and GAP43. Respective antibodies were subsequently used for immunofluorescence on human post-mortem brain tissue with MS pathology for expression and association analysis. There, antibodies for IRF8, IL7, and METTL14 stained neurons in proximity of lesions, which highlighted these candidate protein targets for further studies within MS and brain tissue. The affinity proteomic translation of profiles discovered by profiling human body fluids and tissue provides a powerful strategy to suggest additional candidates to studies of neurological disorders.
Collapse
Affiliation(s)
- Sanna Byström
- Affinity Proteomics, SciLifeLab, School of Biotechnology, KTH - Royal Institute of Technology , Stockholm 171 21, Sweden
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
16
|
Scorilas A, Mavridis K. Predictions for the future of kallikrein-related peptidases in molecular diagnostics. Expert Rev Mol Diagn 2014; 14:713-22. [PMID: 24927162 DOI: 10.1586/14737159.2014.928207] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Kallikrein-related peptidases (KLKs) form a cancer-related ensemble of serine proteases. This multigene family hosts the most widely used cancer biomarker that is PSA-KLK3, with millions of tests performed annually worldwide. The present report provides an overview of the biomarker potential of the extended KLK family (KLK1-KLK15) in various disease settings and envisages approaches that could lead to additional KLK-driven applications in future molecular diagnostics. Particular focus is given on the inclusion of KLKs into multifaceted cancer biomarker panels that provide enhanced diagnostic, prognostic and/or predictive accuracy in several human malignancies. Such panels have been described so far for prostate, ovarian, lung and colorectal cancers. The role of KLKs as biomarkers in non-malignant disease settings, such as Alzheimer's disease and multiple sclerosis, is also commented upon. Predictions are given on the challenges and future directions regarding clinically oriented KLK research.
Collapse
Affiliation(s)
- Andreas Scorilas
- Department of Biochemistry and Molecular Biology, University of Athens, Panepistimiopolis, Athens 157 01, Greece
| | | |
Collapse
|
17
|
Dagley LF, Emili A, Purcell AW. Application of quantitative proteomics technologies to the biomarker discovery pipeline for multiple sclerosis. Proteomics Clin Appl 2014; 7:91-108. [PMID: 23112123 DOI: 10.1002/prca.201200104] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2012] [Revised: 10/04/2012] [Accepted: 10/11/2012] [Indexed: 11/08/2022]
Abstract
Multiple sclerosis is an inflammatory-mediated demyelinating disorder most prevalent in young Caucasian adults. The various clinical manifestations of the disease present several challenges in the clinic in terms of diagnosis, monitoring disease progression and response to treatment. Advances in MS-based proteomic technologies have revolutionized the field of biomarker research and paved the way for the identification and validation of disease-specific markers. This review focuses on the novel candidates discovered by the application of quantitative proteomics to relevant disease-affected tissues in both the human context and within the animal model of the disease known as experimental autoimmune encephalomyelitis. The role of targeted MS approaches for biomarker validation studies, such as multiple reaction monitoring will also be discussed.
Collapse
Affiliation(s)
- Laura F Dagley
- Department of Biochemistry and Molecular Biology, Bio21 Molecular Science and Biotechnology Institute, University of Melbourne, Parkville, Victoria, Australia
| | | | | |
Collapse
|
18
|
Harris VK, Donelan N, Yan QJ, Clark K, Touray A, Rammal M, Sadiq SA. Cerebrospinal fluid fetuin-A is a biomarker of active multiple sclerosis. Mult Scler 2013; 19:1462-72. [DOI: 10.1177/1352458513477923] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background: There is an urgent need for biomarkers in multiple sclerosis (MS) that can reliably measure ongoing disease activity relative to inflammation, neurodegeneration, and demyelination/remyelination. Fetuin-A was recently identified as a potential biomarker in MS cerebrospinal fluid (CSF). Fetuin-A has diverse functions, including a role in immune pathways. Objective: The objective of this research is to investigate whether fetuin-A is a direct indicator of disease activity. Methods: We measured fetuin-A in CSF and plasma of patients with MS and correlated these findings to clinical disease activity and natalizumab response. Fetuin-A expression was characterized in MS brain tissue and in experimental autoimmune encephalomyelitis (EAE) mice. We also examined the pathogenic role of fetuin-A in EAE using fetuin-A-deficient mice. Results: Elevated CSF fetuin-A correlated with disease activity in MS. In natalizumab-treated patients, CSF fetuin-A levels were reduced one year post-treatment, correlating with therapeutic response. Fetuin-A was markedly elevated in demyelinated lesions and in gray matter within MS brain tissue. Similarly, fetuin-A was elevated in degenerating neurons around demyelinated lesions in EAE. Fetuin-A-deficient mice demonstrated delayed onset and reduced severity of EAE symptoms. Conclusions: Our results show that CSF fetuin-A is a biomarker of disease activity and natalizumab response in MS. Neuronal expression of fetuin-A suggests that fetuin-A may play a pathological role in the disease process.
Collapse
Affiliation(s)
| | | | - Qi Jiang Yan
- Multiple Sclerosis Research Center of New York, USA
| | - Kristi Clark
- Multiple Sclerosis Research Center of New York, USA
| | - Amir Touray
- Multiple Sclerosis Research Center of New York, USA
| | | | - Saud A Sadiq
- Multiple Sclerosis Research Center of New York, USA
| |
Collapse
|
19
|
Abstract
The analysis of the cerebrospinal fluid (CSF) proteome in recent years has resulted in a valuable repository of data for targeting and diagnosing a variety of diseases, such as Parkinson's disease, Alzheimer's disease, traumatic brain injury, and amyotrophic lateral sclerosis. Human ventricular CSF contains numerous proteins that are unique to CSF due in part to the interaction of the biofluid with the brain. This allows researchers to obtain information from a region that would otherwise be inaccessible except through invasive surgery or during autopsy. Characterization of the CSF proteome requires that strict care be taken so that sample integrity and fidelity are maintained to ensure data reproducibility. Standardized methods in sample collection, storage, preparation, analysis, and data mining must be used for meaningful information to be obtained. The following method describes a simple and robust approach for preparing CSF samples for analysis via reversed-phase liquid chromatography (RPLC) and mass spectrometry (MS).
Collapse
|
20
|
Rosenling T, Stoop MP, Attali A, Aken HV, Suidgeest E, Christin C, Stingl C, Suits F, Horvatovich P, Hintzen RQ, Tuinstra T, Bischoff R, Luider TM. Profiling and Identification of Cerebrospinal Fluid Proteins in a Rat EAE Model of Multiple Sclerosis. J Proteome Res 2012; 11:2048-60. [DOI: 10.1021/pr201244t] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Therese Rosenling
- Department
of Analytical Biochemistry,
Centre for Pharmacy, University of Groningen, Groningen, The Netherlands
| | - Marcel P. Stoop
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Amos Attali
- Abbott Healthcare Products B.V., Weesp, The Netherlands
| | - Hans van Aken
- Abbott Healthcare Products B.V., Weesp, The Netherlands
| | | | - Christin Christin
- Department
of Analytical Biochemistry,
Centre for Pharmacy, University of Groningen, Groningen, The Netherlands
| | - Christoph Stingl
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Frank Suits
- IBM TJ Watson Research Center, Yorktown Heights, New York, United States
| | - Peter Horvatovich
- Department
of Analytical Biochemistry,
Centre for Pharmacy, University of Groningen, Groningen, The Netherlands
| | - Rogier Q. Hintzen
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | | | - Rainer Bischoff
- Department
of Analytical Biochemistry,
Centre for Pharmacy, University of Groningen, Groningen, The Netherlands
| | - Theo M. Luider
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands
| |
Collapse
|
21
|
BRICHOS domain associated with lung fibrosis, dementia and cancer - a chaperone that prevents amyloid fibril formation? FEBS J 2011; 278:3893-904. [DOI: 10.1111/j.1742-4658.2011.08209.x] [Citation(s) in RCA: 50] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
|
22
|
Graber JJ, Dhib-Jalbut S. Biomarkers of disease activity in multiple sclerosis. J Neurol Sci 2011; 305:1-10. [DOI: 10.1016/j.jns.2011.03.026] [Citation(s) in RCA: 55] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2011] [Revised: 02/25/2011] [Accepted: 03/01/2011] [Indexed: 12/15/2022]
|
23
|
Cerebrospinal fluid and blood biomarkers of neuroaxonal damage in multiple sclerosis. Mult Scler Int 2011; 2011:767083. [PMID: 22096642 PMCID: PMC3198600 DOI: 10.1155/2011/767083] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2010] [Accepted: 02/08/2011] [Indexed: 12/20/2022] Open
Abstract
Following emerging evidence that neurodegenerative processes in multiple sclerosis (MS) are present from its early stages, an intensive scientific interest has been directed to biomarkers of neuro-axonal damage in body fluids of MS patients. Recent research has introduced new candidate biomarkers but also elucidated pathogenetic and clinical relevance of the well-known ones. This paper reviews the existing data on blood and cerebrospinal fluid biomarkers of neuroaxonal damage in MS and highlights their relation to clinical parameters, as well as their potential predictive value to estimate future disease course, disability, and treatment response. Strategies for future research in this field are suggested.
Collapse
|
24
|
|