miR-142-3p as Potential Biomarker of Synaptopathy in MS
Clinical Relevance of miR-142-3p as Potential Biomarker of Synaptopathy in Multiple Sclerosis
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Brief Summary
Inflammatory synaptopathy is a prominent pathogenic mechanism in multiple sclerosis (MS) and in its mouse model, which can cause excitotoxic damage by long-lasting excessive synaptic excitation and, consequentially, drives disease progression by leading to motor and cognitive deficits. As synaptopathy occurs early during the disease course and is potentially reversible, it represents an appealing therapeutic target in MS. Although reliable biomarkers of MS synaptopathy are still missing, recent researches highlighted miR-142-3p as a possible candidate. Indeed, miR-142-3p has been described to promote the IL-1beta-dependent synaptopathy by downregulating GLAST/EAAT1, a crucial glial transporter involved in glutamate homeostasis. Furthermore, mir-142-3p has been suggested as a putative negative MS prognostic factor and a target of current MS disease modifying therapies. The hypothesis of this study is that miR-142-3p represents a good biomarker for excitotoxic synaptopathy to predict MS course, and, possibly, treatment efficacy at individual level, including both pharmacological strategies and non-pharmacological interventions, like therapeutic transcranial magnetic stimulation (TMS) to ameliorate MS spasticity. To this aim, the role of miR-142-3p in MS synaptopathy, its potential impact on the efficacy of disease-modifying treatments currently used in MS therapy as well as the influence of genetic variants (SNPs) of miR-142-3p and GLAST/EAAT1 coding genes on the responsiveness to therapeutic TMS, will be further investigated in the study. By validating miR-142-3p as potential biomarker of synaptopathy, it is expect to improve MS prognosis and personalized therapies. Patients with MS, who will undergo neurological assessment, conventional brain MRI scan, and CSF and blood withdrawal for diagnostic and clinical reasons at the Neurology Unit of IRCCS INM-Neuromed will be enrolled in the study. Neurophysiological, biochemical and genetic parameters together with lower limb spasticity will be evaluated. Subjects, who will undergo blood sampling and/or lumbar puncture for clinical suspicions, later on not confirmed, will be recruited as control group. A subgroup of MS patients showing lower limb spasticity will be included in a two-week repetitive TMS stimulation protocol (iTBS) to correlate the patient responsiveness to this non-pharmacological treatment with MS-significant SNPs of both miR-142-3p and GLAST/EAAT1 coding genes.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable multiple-sclerosis
Started Dec 2019
Longer than P75 for not_applicable multiple-sclerosis
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
June 21, 2019
CompletedFirst Posted
Study publicly available on registry
June 27, 2019
CompletedStudy Start
First participant enrolled
December 10, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 28, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
December 28, 2025
CompletedMarch 29, 2024
March 1, 2024
5.1 years
June 21, 2019
March 27, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (7)
CSF concentration of miR-142-3p
Quantification of CSF levels of miR-142-3p by qPCR analysis. Relative quantification will be performed by 2\^(-ddCt) method.
T0 (enrollment); MS patients vs Control subjects
CSF concentration of soluble molecules
Quantification of CSF inflammatory molecules (TNF, IL-1β, IL-6, IL-17, IFN-γ, IL1ra, IL-22, IL-2, IL-2ra, IL-10, IL-4, IL-5, IL-13, IL-12p40, IL-8) by Luminex multiplex assays; neurofilaments, beta amyloid, tau proteins and growth factors (like NGF, PDGF and BDNF) by Luminex multiplex assays. Data will be expressed as pg/ml.
T0 (enrollment); MS patients vs Control subjects
Clinical disability assessment by Progression Index calculation for correlation analysis with CSF-miR-142-3p levels
Clinical disability will be certified by a qualified neurologist through the Progression Index (PI) calculated as EDSS combined with disease duration (EDSS/disease duration). Disease duration is estimated as the number of years from onset to the most recent assessment of disability and EDSS scale ranging from 0 to 10 in 0.5 unit increments that represent higher levels of disability.
Changes from T0 (enrollment) to T12 (12 months), T24 (24 months), T36 (36 months), T48 (48 months), T60 (60 months) and T72 (72 months) of follow-up
Clinical disability assessment by MSFC calculation for correlation analysis with CSF-miR-142-3p levels
The Multiple Sclerosis Functional Composite (MSFC) is a three-part composite clinical measure. Three variables were recommended as primary measures: Timed 25-Foot walk; 9-Hole Peg Test; and Paced Auditory Serial Addition Test (PASAT- 3"). The results from each of these three tests are transformed into Z-scores and averaged to yield a composite score for each patient at each time point. There are 3 components: 1. the average scores from the four trials on the 9-HPT; 2. the average scores of two 25-Foot Timed Walk trials; 3. the number correct from the PASAT-3. The scores for these three dimensions are combined to create a single score that can be used to detect change over time. This is done by creating Z-scores for each component. MSFC Score = {Zarm, average + Zleg, average + Zcognitive} / 3.0 (Where Zxxx =Z-score) Increased scores represent deterioration in the 9-HPT and the 25-Foot Timed Walk, whereas decreased scores represent deterioration in the PASAT-3.
Changes from T0 (enrollment) to T12 (12 months), T24 (24 months), T36 (36 months), T48 (48 months), T60 (60 months) and T72 (72 months) of follow-up
Neuroradiological assessment for correlation analysis with CSF-miR-142-3p levels
By conventional MRI (1.5 Tesla) the following parameters will be evaluated: dual-echo proton density, FLAIR, T1-WI, T2-WI, and contrast-enhanced T1-WI after intravenous gadolinium (Gd) infusion (0.2 ml/kg). A new Gd+ lesion is defined as a typical area of hyperintense signal on postcontrast T1-WI. A new or newly enlarging lesion on T2-WI is defined as a rounded or oval lesion arising from an area previously considered as normal appearing brain tissue and/or showing an identifiable increase in size from a previously stable-appearing lesion. An active scan is defined as showing any new, enlarging or recurrent lesion(s) on postcontrast T1- and T2-WI.
Changes from T0 (enrollment) to T12 (12 months), T24 (24 months), T36 (36 months), T48 (48 months), T60 (60 months) and T72 (72 months) of follow-up
Neurophysiological assessments for correlation analysis with CSF-miR-142-3p levels
To assess synaptic excitability by SICI, ICF and LICI, motor thresholds will be calculated at rest as the lowest stimulus intensity able to evoke MEPs of about 50uV in 5 out of 10 consecutive trials (cts), and during a slight voluntary contraction of the target muscle (20-30% of the max voluntary contraction) as the lowest intensity able to evoke MEPs \> 100uV in 5 out of 10 cts. The mean peak-to-peak amplitude of the conditioned MEP (cMEP), at each interstimulus interval (ISI), will be expressed as a percentage of the mean peak-to-peak amplitude of the test MEP (tMEP). PAS-induced LTP-like plasticity will be expressed as changes of the average MEPs size at each time point after PAS compared to the average baseline MEPs size. Before PAS, 25 MEPs, evoked by single TMS pulses over the APB motor hot spot set at an intensity to obtain MEPs size of about 1mV peak-to-peak, will be collected. The same stimulus intensity will be used to obtain 25 MEPs 0', 30' and 60' after PAS.
Changes from T0 (enrollment) to T12 (12 months), T24 (24 months), T36 (36 months), T48 (48 months), T60 (60 months) and T72 (72 months) of follow-up
Statistical correlation of miR-142-3p levels in MS CSF with disease and neurophysiological parameters
To investigate miR-142-3p association with synaptopathy-driven disease progression (measured in terms of clinical or radiological changes and TMS variables), multivariable generalized linear models (GLM) will be applied considering miR level in the CSF as an independent variable adjusting for demographical, clinical, neuroradiological, neurophysiological, biochemical factors and treatments. In the case of unsuccessful identification, Principal Component Analysis (PCA) will be performed to evaluate the miR contribution with other molecules in the CSF (as cytokines, chemokines, growth factors, neurofilaments, beta amyloid and tau protein) to synaptopathy-driven disease progression to reduce the number of variable examined and increase the power of multivariate analysis. Statistical correlations will be repeated on the identified PCA components including miR-142-3p as part of the component. The significance level is established at p\<0.05.
T0 (enrollment), T12 (12 months), T24 (24 months), T36 (36 months), T48 (48 months), T60 (60 months) and T72 (72 months).
Secondary Outcomes (5)
Statistical correlation of miR-142-3p levels in MS CSF with patient's responsiveness to disease modifying therapies (DMTs).
Time Frame: T0 (enrollment); Changes from T0 (enrollment) to T12 (12 months), T24 (24 months), T36 (36 months), T48 (48 months), T60 (60 months) and T72 (72 months) of follow-up
Genotyping of SNPs in SLC1A3 and MIR-142 genes for correlation analysis with disease parameters
Time Frame: T0 (enrollment); Changes from T0 (enrollment) to T12 (12 months), T24 (24 months), T36 (36 months), T48 (48 months), T60 (60 months) and T72 (72 months) of follow-up
Lower limb spasticity assessment by H/M amplitude ratio for the therapeutic TMS substudy
Changes from T0 (enrollment) to T12 (12 months), T24 (24 months), T36 (36 months), T48 (48 months), T60 (60 months) and T72 (72 months) of follow-up; Changes from the starting day (W0) to the end of the 2-week iTBS protocol (W2).
Lower limb spasticity assessment by MAS score for the therapeutic TMS substudy
Changes from T0 (enrollment) to T12 (12 months), T24 (24 months), T36 (36 months), T48 (48 months), T60 (60 months) and T72 (72 months) of follow-up; Changes from the starting day (W0) to the end of the 2-week iTBS protocol (W2).
Statistical correlation of response to iTBS treatment with MS-significant SNPs of both SLC1A3 and MIR-142.
T0 (enrollment); Changes from the starting day (W0) to the end of the 2-week iTBS protocol (W2).
Study Arms (3)
multiple sclerosis patients
EXPERIMENTALlumbar puncture, microRNAs quantification in CSF samples, SNPs analysis in blood samples
control subjects
EXPERIMENTALlumbar puncture, microRNAs quantification in CSF samples, SNPs analysis in blood samples
multiple sclerosis patients with spasticity and selected SNPs
EXPERIMENTALiTBS therapeutic protocol
Interventions
lumbar puncture performed to detect OCB for diagnostic purposes and blood withdrawal for SNP screening
iTBS will be delivered over the scalp site corresponding to the leg area of primary motor cortex contralateral to the affected limb. The active motor threshold (AMT) will be defined as the minimum stimulation intensity required to evoke a liminal motor potential from the Soleus muscle during voluntary contraction. The stimulation intensity will be about 80% of AMT. The iTBS stimulation protocol consists of 10 bursts, each burst composed of three stimuli at 50 Hz, repeated at a theta frequency of 5 Hz every 10 s for a total of 600 stimuli (200 s). If no MEP will be detectable from the contralateral leg, the site of stimulation will be determined as symmetrical to the motor hot spot. If no MEP will be detectable even from the contralateral leg the coil will be held tangentially to the scalp with its centre placed 1 cm ahead and 1 cm lateral from CZ (10-20 EEG system). In these cases, stimulation intensity will be set to 50% of the maximum stimulator output.
Eligibility Criteria
You may qualify if:
- Ability to provide written informed consent to the study;
- Diagnosis of MS definite according to 2010 revised McDonald's criteria (Polman et al., 2011);
- Age range 18-65 (included);
- EDSS range between 0 and 6 (included);
- Ability to participate to the study protocol.
You may not qualify if:
- Inability to provide written informed consent to the study;
- Altered blood count;
- Female with positive pregnancy test at baseline or having active pregnancy plans in the following months after the beginning of the protocol;
- Contraindications to gadolinium (MRI);
- Contraindications to TMS;
- Patients with comorbidities for neurological disease other than MS, included other neurodegenerative chronic diseases or chronic infections (i.e tubercolosis, infectious hepatitis, HIV/AIDS);
- Unstable medical condition or infections;
- Use of medications with increased risk of seizures (i.e. Fampridine, 4- Aminopyridine);
- Concomitant use of drugs that may alter synaptic transmission and plasticity (cannabinoids, L-dopa, antiepiletics, nicotine, baclofen, SSRI, botulinum toxin).
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Neuromed IRCCSlead
Study Sites (1)
IRCCS Neuromed
Pozzilli, Isernia, 86077, Italy
Related Publications (16)
Mandolesi G, De Vito F, Musella A, Gentile A, Bullitta S, Fresegna D, Sepman H, Di Sanza C, Haji N, Mori F, Buttari F, Perlas E, Ciotti MT, Hornstein E, Bozzoni I, Presutti C, Centonze D. miR-142-3p Is a Key Regulator of IL-1beta-Dependent Synaptopathy in Neuroinflammation. J Neurosci. 2017 Jan 18;37(3):546-561. doi: 10.1523/JNEUROSCI.0851-16.2016.
PMID: 28100738BACKGROUNDMandolesi G, Gentile A, Musella A, Fresegna D, De Vito F, Bullitta S, Sepman H, Marfia GA, Centonze D. Synaptopathy connects inflammation and neurodegeneration in multiple sclerosis. Nat Rev Neurol. 2015 Dec;11(12):711-24. doi: 10.1038/nrneurol.2015.222. Epub 2015 Nov 20.
PMID: 26585978BACKGROUNDMori F, Codeca C, Kusayanagi H, Monteleone F, Boffa L, Rimano A, Bernardi G, Koch G, Centonze D. Effects of intermittent theta burst stimulation on spasticity in patients with multiple sclerosis. Eur J Neurol. 2010 Feb;17(2):295-300. doi: 10.1111/j.1468-1331.2009.02806.x. Epub 2009 Oct 23.
PMID: 19863647BACKGROUNDCentonze D, Koch G, Versace V, Mori F, Rossi S, Brusa L, Grossi K, Torelli F, Prosperetti C, Cervellino A, Marfia GA, Stanzione P, Marciani MG, Boffa L, Bernardi G. Repetitive transcranial magnetic stimulation of the motor cortex ameliorates spasticity in multiple sclerosis. Neurology. 2007 Mar 27;68(13):1045-50. doi: 10.1212/01.wnl.0000257818.16952.62.
PMID: 17389310BACKGROUNDCentonze D, Muzio L, Rossi S, Cavasinni F, De Chiara V, Bergami A, Musella A, D'Amelio M, Cavallucci V, Martorana A, Bergamaschi A, Cencioni MT, Diamantini A, Butti E, Comi G, Bernardi G, Cecconi F, Battistini L, Furlan R, Martino G. Inflammation triggers synaptic alteration and degeneration in experimental autoimmune encephalomyelitis. J Neurosci. 2009 Mar 18;29(11):3442-52. doi: 10.1523/JNEUROSCI.5804-08.2009.
PMID: 19295150BACKGROUNDGandhi R. miRNA in multiple sclerosis: search for novel biomarkers. Mult Scler. 2015 Aug;21(9):1095-103. doi: 10.1177/1352458515578771. Epub 2015 Apr 28.
PMID: 25921051BACKGROUNDInternational Multiple Sclerosis Genetics Consortium; Hafler DA, Compston A, Sawcer S, Lander ES, Daly MJ, De Jager PL, de Bakker PI, Gabriel SB, Mirel DB, Ivinson AJ, Pericak-Vance MA, Gregory SG, Rioux JD, McCauley JL, Haines JL, Barcellos LF, Cree B, Oksenberg JR, Hauser SL. Risk alleles for multiple sclerosis identified by a genomewide study. N Engl J Med. 2007 Aug 30;357(9):851-62. doi: 10.1056/NEJMoa073493. Epub 2007 Jul 29.
PMID: 17660530BACKGROUNDKiselev I, Bashinskaya V, Kulakova O, Baulina N, Popova E, Boyko A, Favorova O. Variants of MicroRNA Genes: Gender-Specific Associations with Multiple Sclerosis Risk and Severity. Int J Mol Sci. 2015 Aug 24;16(8):20067-81. doi: 10.3390/ijms160820067.
PMID: 26305248BACKGROUNDBergman P, Piket E, Khademi M, James T, Brundin L, Olsson T, Piehl F, Jagodic M. Circulating miR-150 in CSF is a novel candidate biomarker for multiple sclerosis. Neurol Neuroimmunol Neuroinflamm. 2016 Apr 20;3(3):e219. doi: 10.1212/NXI.0000000000000219. eCollection 2016 Jun.
PMID: 27144214BACKGROUNDGentile A, Musella A, Bullitta S, Fresegna D, De Vito F, Fantozzi R, Piras E, Gargano F, Borsellino G, Battistini L, Schubart A, Mandolesi G, Centonze D. Siponimod (BAF312) prevents synaptic neurodegeneration in experimental multiple sclerosis. J Neuroinflammation. 2016 Aug 26;13(1):207. doi: 10.1186/s12974-016-0686-4.
PMID: 27566665BACKGROUNDGentile A, Musella A, De Vito F, Fresegna D, Bullitta S, Rizzo FR, Centonze D, Mandolesi G. Laquinimod ameliorates excitotoxic damage by regulating glutamate re-uptake. J Neuroinflammation. 2018 Jan 5;15(1):5. doi: 10.1186/s12974-017-1048-6.
PMID: 29304807BACKGROUNDHarris VK, Sadiq SA. Biomarkers of therapeutic response in multiple sclerosis: current status. Mol Diagn Ther. 2014 Dec;18(6):605-17. doi: 10.1007/s40291-014-0117-0.
PMID: 25164543BACKGROUNDHousley WJ, Pitt D, Hafler DA. Biomarkers in multiple sclerosis. Clin Immunol. 2015 Nov;161(1):51-8. doi: 10.1016/j.clim.2015.06.015. Epub 2015 Jul 2.
PMID: 26143623BACKGROUNDMeinl E, Meister G. MicroRNAs in the CSF: macro-advance in MS? Neurology. 2012 Nov 27;79(22):2162-3. doi: 10.1212/WNL.0b013e31827597d1. Epub 2012 Oct 17. No abstract available.
PMID: 23077022BACKGROUNDQuintana E, Ortega FJ, Robles-Cedeno R, Villar ML, Buxo M, Mercader JM, Alvarez-Cermeno JC, Pueyo N, Perkal H, Fernandez-Real JM, Ramio-Torrenta L. miRNAs in cerebrospinal fluid identify patients with MS and specifically those with lipid-specific oligoclonal IgM bands. Mult Scler. 2017 Nov;23(13):1716-1726. doi: 10.1177/1352458516684213. Epub 2017 Jan 9.
PMID: 28067602BACKGROUNDStampanoni Bassi M, Gilio L, Buttari F, Maffei P, Marfia GA, Restivo DA, Centonze D, Iezzi E. Remodeling Functional Connectivity in Multiple Sclerosis: A Challenging Therapeutic Approach. Front Neurosci. 2017 Dec 13;11:710. doi: 10.3389/fnins.2017.00710. eCollection 2017.
PMID: 29321723BACKGROUND
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Diego Centonze, MD
IRCCS Neuromed, Pozzilli, Isernia Italy
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NON RANDOMIZED
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Haed of Neurology Unit
Study Record Dates
First Submitted
June 21, 2019
First Posted
June 27, 2019
Study Start
December 10, 2019
Primary Completion
December 28, 2024
Study Completion
December 28, 2025
Last Updated
March 29, 2024
Record last verified: 2024-03