Toward biomarkers in multiple sclerosis: new advances

Lolli, Francesco; Rovero, Paolo; Chelli, Mario; Papini, Anna Maria

doi:10.1586/14737175.6.5.781

Cited by 11 publications

(9 citation statements)

References 159 publications

(144 reference statements)

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“…Disease treatment in neurology is predicted to advance over the next decade with the development of genetic, stem cell and immunomodulatory therapies. Biomarkers will be essential in the development and deployment of these therapies to facilitate diagnosis, guide prognosis and therapy, evaluate experimental pharmacotherapy and in addition provide surrogate endpoints and markers for clinical research (43)(44)(45). Single biomarkers will rarely achieve these ideals and it is likely that composite endpoints will be required.…”

Section: Discussionmentioning

confidence: 99%

NMR‐based metabolomic analysis of cerebrospinal fluid and serum in neurological diseases – a diagnostic tool?

et al. 2009

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We sought to evaluate the diagnostic accuracy of metabolomic biomarker profiles in neurological conditions (idiopathic intracranial hypertension (IIH), multiple sclerosis (MS) and cerebrovascular disease (CVD) compared to controls with either no neurological disease or mixed neurological diseases). Spectra of CSF (n = 87) and serum (n = 72) were acquired using (1)H NMR spectroscopy. Multivariate pattern recognition analysis was used to identify disease-specific metabolite biomarker profiles. The metabolite profiles were then used to predict the diagnosis of a second cohort of patients (n = 25). CSF metabolite profiles were able to predict diagnosis with a sensitivity and specificity of 80% for both IIH and MS. The CVD serum metabolite profile was 75% sensitive and specific. On analysing the second patient cohort, the established metabolite biomarker profiles generated from the first cohort showed moderate ability to segregate patients with IIH and MS (sensitivity:specificity of 63:75% and 67:75%, respectively). These findings suggest that NMR spectroscopic metabolic profiling of CSF and serum can identify differences between IIH, MS, CVD and mixed neurological diseases. Metabolomics may, therefore, have the potential to be developed into a clinically useful diagnostic tool. The identification of disease-unique metabolites may also impart information on disease pathology.

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Section: Discussionmentioning

confidence: 99%

NMR‐based metabolomic analysis of cerebrospinal fluid and serum in neurological diseases – a diagnostic tool?

et al. 2009

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“…Only 29% of the participant believed that MS can cause disability complications, which is a major sign of concern [14]. MS is most commonly first diagnosed between the ages of 20 to 40 years, and over time, it results in varying levels of progressive mobility and sensory functional limitations affecting not only function but also appearance [15]. A lack of knowledge about the disease symptoms may cause patients to present late and miss the opportunity to reap the benefits of early intervention [16].…”

mentioning

confidence: 99%

Assessment of Multiple Sclerosis Awareness: Knowledge and Attitude Among Saudi Population in Taif City, Ksa.

Amer¹,

AlZahrani²,

AlZahrani³

et al. 2016

IJAR

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Multiple sclerosis (MS) is an organ specific inflammatory disease that considered the main cause of chronic neurologic disability in young and middle-aged adults with increased prevalence in Saudi Arabia. Public awareness MS is generally poor, and this limited understanding delays the early diagnosis and treatment of patients. This study was community based cross sectional study that conducted in different public areas.A structured questionnaire including questions on knowledge and attitude of MS was administered. A total of 900 questionnaires were distributed and 715 were completed the questionnaire. The mean knowledge score among the study cohort was 8.74 ± 2.7 and the mean attitude score was 2.19± 1.8 with no significant variation regarding age and sex of participants. Learning from surrounding people was the only source of information with significantly high knowledge and attitude score. Also, participants who recorded knowing someone with MS was significantly had higher knowledge and attitude scores. Most respondents in our sample suffered from deficiency of background information about MS and health education. Therefore, more intensified awareness programs among population are necessary to ensure reliable information reach the public in order for early detection and management of this serious disease. Also, further researches are needed to identify causes of inadequate knowledge and attitude of MS among Saudi population. More utilization of Media as an important source of MS is important to improve awareness among the community.

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“…The type I’ β -turn glycopeptide CSF114(Glc) is an N- glucosylated antigenic probe specifically designed to recognize autoantibodies present in the sera of multiple sclerosis patients [ 1 , 2 , 3 , 4 , 5 ]. Its primary structure is TPRVERN(Glc)GHSVFLAPYGWMWK.…”

Section: Introductionmentioning

confidence: 99%

Interaction Study of Phospholipid Membranes with an N-Glucosylated β-Turn Peptide Structure Detecting Autoantibodies Biomarkers of Multiple Sclerosis

et al. 2015

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The interaction of lipid environments with the type I’ β-turn peptide structure called CSF114 and its N-glucosylated form CSF114(Glc), previously developed as a synthetic antigenic probe recognizing specific autoantibodies in a subpopulation of multiple sclerosis patients’ serum, was investigated by fluorescence spectroscopy and electrochemical experiments using large unilamellar vesicles, mercury supported lipid self-assembled monolayers (SAMs) and tethered bilayer lipid membranes (tBLMs). The synthetic antigenic probe N-glucosylated peptide CSF114(Glc) and its unglucosylated form interact with the polar heads of lipid SAMs of dioleoylphosphatidylcholine at nonzero transmembrane potentials, probably establishing a dual electrostatic interaction of the trimethylammonium and phosphate groups of the phosphatidylcholine polar head with the Glu5 and His9 residues on the opposite ends of the CSF114(Glc) β-turn encompassing residues 6-9. His9 protonation at pH 7 eliminates this dual interaction. CSF114(Glc) is adsorbed on top of SAMs of mixtures of dioleoylphosphatidylcholine with sphingomyelin, an important component of myelin, whose proteins are hypothesized to undergo an aberrant N-glucosylation triggering the autoimmune response. Incorporation of the type I’ β-turn peptide structure CSF114 into lipid SAMs by potential scans of electrochemical impedance spectroscopy induces defects causing a slight permeabilization toward cadmium ions. The N-glucopeptide CSF114(Glc) does not affect tBLMs to a detectable extent.

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Toward biomarkers in multiple sclerosis: new advances

Cited by 11 publications

References 159 publications

NMR‐based metabolomic analysis of cerebrospinal fluid and serum in neurological diseases – a diagnostic tool?

NMR‐based metabolomic analysis of cerebrospinal fluid and serum in neurological diseases – a diagnostic tool?

Assessment of Multiple Sclerosis Awareness: Knowledge and Attitude Among Saudi Population in Taif City, Ksa.

Interaction Study of Phospholipid Membranes with an N-Glucosylated β-Turn Peptide Structure Detecting Autoantibodies Biomarkers of Multiple Sclerosis

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