Cellular immune endophenotypes separating early and late-onset myasthenia gravis

The 2 main subgroups of autoimmune myasthenia gravis, a neuromuscular junction disorder associated with muscle weakness, are early- and late-onset forms, defined by onset before or after 50 years of age. Both carry acetylcholine-receptor autoantibodies but differ in sex ratios, genetics, and occurrence of disease-specific thymus inflammation. To distinguish the 2 forms by cellular immune phenotyping, we applied multimodal techniques, including deep spectral cytometric phenotyping and single-cell sequencing. Analysis of 2 independent cohorts identified immunological differences driven by 3 main lymphocyte populations. Lower frequencies of mucosa-associated invariant T cells and naive CD8+ T cells were observed in late-onset myasthenia, suggesting enhanced immune senescence. A highly differentiated, canonical NK cell population was reduced in early-onset myasthenia and negatively correlated with the degree of thymic hyperplasia. Using only the frequency of these 3 populations, correct myasthenia subgroup assignment could be predicted with 90% accuracy. These distinct immunocellular endophenotypes for early- and late-onset disease suggest differences in immunopathogenic processes. Along with demographic factors and other disease subgroup-specific features, the frequency of the identified cell subpopulations may improve clinical classification.

Authors

Institutions

Publication Details

Journal
JCI Insight
Published
2025-11-27
DOI
https://doi.org/10.1172/jci.insight.199679
Primary Topic
Myasthenia Gravis and Thymoma
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cellular immune endophenotypes separating early and late-onset myasthenia gravis

Nicolas Ruffin, Jakob Theorell, Chiara Sorini, Adam E. Handel et al.
JCI Insight
Myasthenia Gravis and Thymoma
article

Cellular immune endophenotypes separating early and late-onset myasthenia gravis

Nicolas Ruffin, Jakob Theorell, Chiara Sorini, Adam E. Handel, Sarosh R. Irani, Valentina Damato, Andrew Fower, Susanna Brauner, Lahiru Handunnetthi, Philip Ambrose, Fredrik Piehl, Isabel Leite
article en

Abstract

The 2 main subgroups of autoimmune myasthenia gravis, a neuromuscular junction disorder associated with muscle weakness, are early- and late-onset forms, defined by onset before or after 50 years of age. Both carry acetylcholine-receptor autoantibodies but differ in sex ratios, genetics, and occurrence of disease-specific thymus inflammation. To distinguish the 2 forms by cellular immune phenotyping, we applied multimodal techniques, including deep spectral cytometric phenotyping and single-cell sequencing. Analysis of 2 independent cohorts identified immunological differences driven by 3 main lymphocyte populations. Lower frequencies of mucosa-associated invariant T cells and naive CD8+ T cells were observed in late-onset myasthenia, suggesting enhanced immune senescence. A highly differentiated, canonical NK cell population was reduced in early-onset myasthenia and negatively correlated with the degree of thymic hyperplasia. Using only the frequency of these 3 populations, correct myasthenia subgroup assignment could be predicted with 90% accuracy. These distinct immunocellular endophenotypes for early- and late-onset disease suggest differences in immunopathogenic processes. Along with demographic factors and other disease subgroup-specific features, the frequency of the identified cell subpopulations may improve clinical classification.

JCI InsightVol. 11(1)
Karolinska University Hospital (SE), Centre for Human Genetics (GB), Jacksonville College (US), Karolinska Institutet (SE), University of Oxford (GB), Centre For Human Genetics (IN), Science Oxford (GB), Mayo Clinic in Florida (US), University of Florence (IT)
Wellcome Trust, National Institute for Health and Care Research, University of Oxford, Knut och Alice Wallenbergs Stiftelse, Vetenskapsrådet, Science for Life Laboratory, Medical Research Council, Uppsala Multidisciplinary Center for Advanced Computational Science
Openalex Percentile: Top 49%
Myasthenia Gravis and Thymoma
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.