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| Name | Class |
|---|---|
| Institute for Systems Biology | OTHER |
| Genentech, Inc. | INDUSTRY |
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This pilot study will establish a proof of concept for using a systems biology approach to characterize the dynamics of MS disease processes. The primary objective of the study is to identify multi-omic (genetic, proteomic, biochemical and/or microbial) factors that correlate with clinical and subclinical MS disease activity. Identification of such biomarkers could have an immediate clinical utility in identification of MS patients prone to more aggressive disease earlier in their disease course, thus affording the opportunity to better individualize therapy.
In addition, insights from better understanding of the complex interplay of various systems biology factors should improve our understanding of MS in general. The study will recruit 14 patients with relapsing MS who are initiating treatment with ocrelizumab, and follow them for 30 months.
The main purpose of the study is to improve the understanding of MS and to look at the genetic factors that may influence how MS progresses. This will involve collecting blood and stool samples, patient questionnaires, and MS-related assessments.
About 67 mL (13 tsp) of blood will be collected at the first visit, and again at 6 months, 12 months, and 30 months after first visit.
Participants will receive standard treatment (ocrelizumab) and have standard exams, MRIs, and tests while on the study.
Study participation is about 30 months, which includes about 9 study visits. Some study visits may be up to 5 hours long. 14 people will take part in this study.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Patients with relapsing MS | Patients with relapsing remitting MS who are intending to receive ocrelizumab. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| All patients in the study will be treated with ocrelizumab | Drug | 300 mg of OCR IV infusion will be given on Day 0 followed by a second dose of 300 mg OCR 14 days later ± 2 days, and then 600 mg of OCR as a single infusion will be given every 24 weeks thereafter per standard medical care. |
| Measure | Description | Time Frame |
|---|---|---|
| Proportion of relapse free patients | Number of participants free of MS relapse at 6, 12, and 30 months divided by total number of participants. | 6, 12, and 30 months |
| Measure | Description | Time Frame |
|---|---|---|
| Annualized relapse rate (ARR) | Changes in ARR to assess MS activity levels at baseline compared to 12 and 30 months. Total number of relapses divided by total number of participants. | 12 and 30 months |
| Correlates of T2 lesions on-study MRI activity |
| Measure | Description | Time Frame |
|---|---|---|
| Whole genome sequencing | Exploratory use of advanced blood chemistry including 3072 proteomic, 930 lipidomic, 1348 metabolite, and thousands of microbiome feature profiles in patients with multiple sclerosis to determine if these measures provide valid biomarkers for assessing prognosis and response to therapy. | 6, 12, and 30 months |
Inclusion Criteria:
Inclusion criteria for those patients who have completed the core study and are re-consenting and re-enrolling to complete the month 30 visit. Patients must fulfill all of the following criteria to participate in the study:
Exclusion Criteria:
Diagnosis of progressive MS at screening.
Patient is unable to undergo MRI with gadolinium contrast imaging for any reason.
Known presence of other neurological disorders, including but not limited to, the following:
Exclusions related to general health:
Exclusions Related to Medications:
Exclusions related to laboratory findings:
Exclusion criteria for those patients who have completed the core study and are re-consenting and re-enrolling to complete the month 30 visit. Patients must be excluded from participating in the study if they meet any of the following criteria:
Exclusions related to general health:
Exclusions Related to Medications:
Exclusions related to laboratory findings:
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Study patients will be recruited from the population of relapsing MS patients initiating treatment with ocrelizumab, who are being followed at the Swedish MS Center in Seattle, Washington and the Providence MS Center in Portland, Oregon.
MS population and a reference non-MS population
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| Name | Affiliation | Role |
|---|---|---|
| Stanley Cohan, MD, PhD | Providence Health & Services | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Providence Neurological Specialties West | Portland | Oregon | 97225 | United States | ||
| Swedish Medical Center Multiple Sclerosis Center |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 27889191 | Background | Ontaneda D, Thompson AJ, Fox RJ, Cohen JA. Progressive multiple sclerosis: prospects for disease therapy, repair, and restoration of function. Lancet. 2017 Apr 1;389(10076):1357-1366. doi: 10.1016/S0140-6736(16)31320-4. Epub 2016 Nov 24. | |
| 27027554 | Background | Steinman L, Zamvil SS. Beginning of the end of two-stage theory purporting that inflammation then degeneration explains pathogenesis of progressive multiple sclerosis. Curr Opin Neurol. 2016 Jun;29(3):340-4. doi: 10.1097/WCO.0000000000000317. |
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It is expected that the results of this study will be presented at the annual meetings of American Academy of Neurology (AAN) and European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS). In addition, a manuscript reporting the results of this study will be submitted for publication in a leading neurology journal in aggregate, no intention to disclose individual personal data.
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| ID | Term |
|---|---|
| D009103 | Multiple Sclerosis |
| ID | Term |
|---|---|
| D020278 | Demyelinating Autoimmune Diseases, CNS |
| D020274 | Autoimmune Diseases of the Nervous System |
| D009422 | Nervous System Diseases |
| D003711 | Demyelinating Diseases |
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| ID | Term |
|---|---|
| C533411 | ocrelizumab |
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Blood and stool samples will be analyzed for genetic and biochemical assay program including a whole genome sequence, advanced blood chemistry tests including heavy metals, proteins & metabolites, profiling of over 1000 low molecular weight metabolites and 29 fatty acids from blood plasma, measurement of nearly 200 serum proteins that constitute the neurology and inflammation panels of the O-link assay system, a description of the gut microbiome based on analysis of 16S ribosomal RNA sequences and serum immunoglobulin panel (IgG, IgM, and IgA).
|
|
Number of new and/or unique T2 lesions for each participant compared to screening
| 12, 24, and 30 months |
| Correlates of gadolinium enhancing lesions on-study MRI activity | Number of new and/or enlarged gadolinium enhancing lesions for each participant compared to screening | 12, 24, and 30 months |
| Expanded Disability Status Scale (EDSS) | Changes in EDSS to assess MS activity levels at baseline compared to 12 and 30 months. The EDSS provides a total score on a scale that ranges from minimum 0 to maximum 10. The first levels 1.0 to 4.5 refer to people with a high degree of ambulatory ability and the subsequent levels 5.0 to 9.5 refer to the loss of ambulatory ability | 12 and 30 months |
| Timed 25-Foot Walk (T25FW) | Changes in T25FW to assess MS activity levels at baseline compared to 6, 12, and 30 months. Scale ranges from minimum 0 seconds to maximum 180 seconds. Lower score indicates better result. | 6, 12, and 30 months |
| 9-Hole Peg Test (9HPT) | Changes in 9HPT to assess MS activity levels at baseline compared to 6, 12, and 30 months. Scales ranges from minumum 0 seconds to maximum 300 seconds (5 minutes). Lower score indicates better result. | 6, 12, and 30 months |
| Low Contrast Visual Acuity (LCVA) | Changes in LCVA to assess MS activity levels at baseline compared to 6, 12, and 30 months. Test performed on right eye, left eye, and binocular (both eyes). Scale ranges from minimum 20/200 to maximum 20/16. Higher score indicates better result. | 6, 12, and 30 months |
| Symbol digit modality test (SDMT) | Changes in SDMT to assess MS activity levels at baseline compared to 6, 12, and 30 months. Scale ranges from minimum 0 to maximum 110. Higher score indicates better result. | 6, 12, and 30 months |
| Modified Fatigue Impact Scale (MFIS) | Changes in MFIS to assess MS activity levels at baseline compared to 6, 12, and 30 months. Scale ranges from minimum 0 to maximum 84. Lower score indicates better result. | 6, 12, and 30 months |
| Beck Depression Inventory (BDI-2) | Changes in BDI-2 to assess MS activity levels at baseline compared to 6, 12, and 30 months. Scale ranges from minimum 0 to maximum 63. Lower score indicates better result. | 6, 12, and 30 months |
| Blood analysis plasma |
Exploratory profiling of over 1000 low molecular weight metabolites and 29 fatty acids from blood plasma to determine if these measures provide valid biomarkers for assessing prognosis and response to therapy. |
| 6, 12, and 30 months |
| Blood analysis serum | Measurement of approximately 3,072 serum proteins that constitute the neurology, neuro-exploratory and inflammation panels of the O-link assay system, and/or global plasma protein analysis (O-Link Explore 3072). | 6, 12, and 30 months |
| Extracellular vesicle analysis plasma | An in-depth proteomic analysis of extracellular vesicles from blood plasma. This is a potential refinement of the proteomic data already obtained by isolation of extracellular vesicles and subjecting them to comprehensive proteomic analysis. | 6, 12, and 30 months |
| Stool analysis gut microbiome | Description of the gut microbiome based on analysis of shotgun sequencing from stool samples. | 12 and 30 months |
| Seattle |
| Washington |
| 98122 |
| United States |
| 27396817 | Background | Fraussen J, de Bock L, Somers V. B cells and antibodies in progressive multiple sclerosis: Contribution to neurodegeneration and progression. Autoimmun Rev. 2016 Sep;15(9):896-9. doi: 10.1016/j.autrev.2016.07.008. Epub 2016 Jul 7. |
| 28714965 | Background | Price ND, Magis AT, Earls JC, Glusman G, Levy R, Lausted C, McDonald DT, Kusebauch U, Moss CL, Zhou Y, Qin S, Moritz RL, Brogaard K, Omenn GS, Lovejoy JC, Hood L. A wellness study of 108 individuals using personal, dense, dynamic data clouds. Nat Biotechnol. 2017 Aug;35(8):747-756. doi: 10.1038/nbt.3870. Epub 2017 Jul 17. |
| 27626663 | Background | Hellberg S, Eklund D, Gawel DR, Kopsen M, Zhang H, Nestor CE, Kockum I, Olsson T, Skogh T, Kastbom A, Sjowall C, Vrethem M, Hakansson I, Benson M, Jenmalm MC, Gustafsson M, Ernerudh J. Dynamic Response Genes in CD4+ T Cells Reveal a Network of Interactive Proteins that Classifies Disease Activity in Multiple Sclerosis. Cell Rep. 2016 Sep 13;16(11):2928-2939. doi: 10.1016/j.celrep.2016.08.036. |
| 28261960 | Background | Hakansson I, Tisell A, Cassel P, Blennow K, Zetterberg H, Lundberg P, Dahle C, Vrethem M, Ernerudh J. Neurofilament light chain in cerebrospinal fluid and prediction of disease activity in clinically isolated syndrome and relapsing-remitting multiple sclerosis. Eur J Neurol. 2017 May;24(5):703-712. doi: 10.1111/ene.13274. Epub 2017 Mar 6. |
| 28893978 | Background | Cekanaviciute E, Yoo BB, Runia TF, Debelius JW, Singh S, Nelson CA, Kanner R, Bencosme Y, Lee YK, Hauser SL, Crabtree-Hartman E, Sand IK, Gacias M, Zhu Y, Casaccia P, Cree BAC, Knight R, Mazmanian SK, Baranzini SE. Gut bacteria from multiple sclerosis patients modulate human T cells and exacerbate symptoms in mouse models. Proc Natl Acad Sci U S A. 2017 Oct 3;114(40):10713-10718. doi: 10.1073/pnas.1711235114. Epub 2017 Sep 11. |
| 39561535 | Derived | Kornilov SA, Price ND, Gelinas R, Acosta J, Brunkow ME, Gervasi-Follmar T, Winger RC, Aldershoff D, Lausted C, Troisch P, Smith B, Heath JR, Repovic P, Cohan S, Magis AT. Multi-Omic characterization of the effects of Ocrelizumab in patients with relapsing-remitting multiple sclerosis. J Neurol Sci. 2024 Dec 15;467:123303. doi: 10.1016/j.jns.2024.123303. Epub 2024 Nov 10. |
| D001327 | Autoimmune Diseases |
| D007154 | Immune System Diseases |