Multiple Sclerosis and Viruses: « Liaisons Dangereuses ».
Study Design & Technical Specifications
Sample Size / Cohort
Documented in primary study
Subject / Study Model
CNS Experimental / Clinical Model
Analytical Modalities
Primary Abstract & Repository Description
Source: Europe PMCEditorial Critique, Methodological Value & Reusability Guide
1. Scientific Context & Premise
Primary Premise (Europe PMC): "Multiple sclerosis (MS) is a complex, multifactorial neurodegenerative disease with an aetiology that is still partially elusive." Within Multiple Sclerosis (MS), this work examines Europe PMC, Paper, Open Access, MULTIPLE SCLEROSIS in relation to paramagnetic rim lesions (PRLs), T2/FLAIR lesion volume, oligoclonal bands, EBV titers, and EDSS progression metrics. Authored by Plavina S, Malakovska D, Kalnina J.
2. Study Architecture & Findings
Study Architecture: Experimental / Clinical CNS Design (primary study cohort) utilizing Research Article, Open Access [DOI: 10.1002/rmv.70212]. Key reported conclusion: "Characterising these viral interactions presents a new research direction for the identification of novel biomarkers and the development of preventative strategies through the targeted control of viral networks."
3. Secondary Analysis & Reusability
Secondary Analysis Applications: (1) Cross-referencing Research Article, Open Access variables (Europe PMC, Paper, Open Access, MULTIPLE SCLEROSIS) against open repositories in Multiple Sclerosis (MS); (2) Benchmarking feature distributions and effect sizes reported in "Multiple Sclerosis and Viruses: « Liaisons Dangereuses »."; (3) Informing cohort stratification and endpoint selection.
4. Methodological Caveats & Governance
Methodological Note: When integrating these Research Article, Open Access findings, account for cohort-specific inclusion criteria (primary study cohort), potential site/instrument batch effects, and repository license terms (cc by).
Data Access, Reproducibility & Analysis Starter Guide
FAIR Open Science & Clinical Metadata Verification Protocol
Quick Data Access & Structured Export
Open the primary repository directly or download structured metadata (JSON / CSV) in one click.
This resource is indexed under FAIR (Findable, Accessible, Interoperable, and Reusable) open-science metadata standards, enabling programmatic cross-referencing across Europe PMC, Semantic Scholar, ClinicalTrials.gov, and CNS Open Data.
Programmatic Data Retrieval (Python Starter Code & Recommended SDKs)
Python Quickstart: Query Europe PMC & Semantic Scholar Metadata
# Fetch structured bibliographic & open-access data via Europe PMC REST API
import urllib.request
import urllib.parse
import json
query = "DOI:\"10.1002/rmv.70212\""
url = f"https://www.ebi.ac.uk/europepmc/webservices/rest/search?query={urllib.parse.quote(query)}&format=json&resultType=core"
with urllib.request.urlopen(url, timeout=10) as response:
payload = json.loads(response.read().decode("utf-8"))
results = payload.get("resultList", {}).get("result", [])
if results:
record = results[0]
print("Title:", record.get("title"))
print("Journal / Source:", record.get("journalTitle") or record.get("bookOrReportDetails"))
print("Cited By Count:", record.get("citedByCount", 0))Standardized 4-Step Workflow & Governance Checklist
Standardized Acquisition & Preprocessing Workflow
1. Programmatic Metadata & Full-Text OA Retrieval
Query Europe PMC or Crossref REST APIs using the persistent DOI/URL to retrieve structured XML full text, supplementary tables, and grant links.
2. Study Design & Cohort Eligibility Screening
Extract sample size, inclusion/exclusion criteria, and primary outcome endpoints for systematic review (PRISMA) inclusion.
3. Data Availability & Supplementary Repository Linkage
Locate accession numbers (GEO, SRA, OpenNeuro, DANDI, Zenodo, Figshare) referenced in the Data Availability section.
4. Citation Graph & Replication Tracking
Monitor supporting and contrasting citations over time to verify whether key findings have been independently replicated.
Reproducibility & Governance Checklist
- Verify whether the source is a peer-reviewed journal publication or an unrefereed preprint before clinical citation.
- Check supplementary data licenses (CC-BY / CC0) when extracting figures or summary statistics for meta-analyses.
- Cross-reference NCT clinical trial identifiers when evaluating therapeutic efficacy or biomarker endpoints.
Tags & Modalities
Bibliometrics, Peer-Review Status & Citation Export
Cross-referenced via Semantic Scholar, Europe PMC & bioRxiv
1. Citation Metrics & Context Breakdown
Citation Context Breakdown
2. Peer-Review Validation & Revision History
Verified Publication / Open Dataset Record
Metadata and license integrity verified against primary repository records.
3. Standardized Academic Citation & BibTeX Export
Plavina S et al. (2026). Multiple Sclerosis and Viruses: « Liaisons Dangereuses ». Europe PMC. https://doi.org/10.1002/rmv.70212
@article{s2026epmc,
title = {Multiple Sclerosis and Viruses: « Liaisons Dangereuses ».},
author = {Plavina S and Malakovska D and Kalnina J and Trapina I and Leonova E},
year = {2026},
journal = {Europe PMC},
howpublished = {\url{https://europepmc.org/article/PMC/PMC13635778}},
doi = {10.1002/rmv.70212},
note = {CNS Open Data: multiple_sclerosis}
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Academic Research & Medical Information Disclaimer
This page provides structured scientific metadata, methodological critiques, and open-data reusability guidelines intended strictly for neuroscience researchers and data scientists. It does not constitute medical advice, clinical diagnosis, or treatment recommendations.
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