Digital Pathology Identifies Associations between Tissue Inflammatory Biomarkers and Multiple Sclerosis Outcomes.

ABSTRACT:

Background

Multiple sclerosis (MS) is a clinically heterogeneous disease underpinned by inflammatory, demyelinating and neurodegenerative processes, the extent of which varies between individuals and over the course of the disease. Recognising the clinicopathological features that most strongly associate with disease outcomes will inform future efforts at patient phenotyping.

Aims

We used a digital pathology workflow, involving high-resolution image acquisition of immunostained slides and opensource software for quantification, to investigate the relationship between clinical and neuropathological features in an autopsy cohort of progressive MS.

Methods

Sequential sections of frontal, cingulate and occipital cortex, thalamus, brain stem (pons) and cerebellum including

SUBMITTER: Cooze B 

PROVIDER: S-EPMC11201856 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature