scispace - formally typeset
R

Rosella Mechelli

Researcher at Open University

Publications -  14
Citations -  146

Rosella Mechelli is an academic researcher from Open University. The author has contributed to research in topics: Genome-wide association study & Intestinal permeability. The author has an hindex of 4, co-authored 14 publications receiving 53 citations.

Papers
More filters
Journal ArticleDOI

The Contribution of Gut Barrier Changes to Multiple Sclerosis Pathophysiology.

TL;DR: The therapeutic implications of IP changes, considering the impact of MS-modifying therapies on gut barrier, as well as potential approaches to enhance or protect IP homeostasis are discussed.
Journal ArticleDOI

Multiple Sclerosis and SARS-CoV-2: Has the Interplay Started?

TL;DR: In this article, the authors look over 18 months of the SARS-CoV-2 pandemic from the perspective of MS, dissect neuroinflammatory and demyelinating mechanisms associated with COVID-19, summarize pathophysiological crossroads between MS and SARS CoV2 infection, and discuss present evidence on COVID19 and its vaccination in people with MS.
Journal ArticleDOI

DNA damage signatures in peripheral blood cells as biomarkers in prodromal huntington disease.

TL;DR: In this article, the authors investigated telomere length and DNA double-strand breaks (histone variant pγ-H2AX) as predictive disease biomarkers in peripheral blood mononuclear cells (PBMC) from 25 premanifest subjects, 58 HD patients with similar CAG expansion in the huntingtin gene (HTT), and 44 healthy controls (HC).
Journal ArticleDOI

SARS-CoV-2 meta-interactome suggests disease-specific, autoimmune pathophysiologies and therapeutic targets

TL;DR: A significant enrichment of SARS-CoV-2 interactors in immunological pathways and a strong association with autoimmunity and three prognostically relevant conditions that present more independent physiopathological subnetworks are found.
Journal ArticleDOI

Reworking GWAS Data to Understand the Role of Nongenetic Factors in MS Etiopathogenesis.

TL;DR: This work reviewed studies dealing with single genes of interest, and surveyed studies on the bioinformatic reworking of genome-wide association studies (GWAS) data, with aggregate analyses of many GWAS loci, each contributing with a small effect to the overall disease predisposition.