# MGNet Pilot Studies Program

> **NIH NIH U54** · GEORGE WASHINGTON UNIVERSITY · 2022 · $105,598

## Abstract

The primary purpose of the MGNet pilot study program is to promote development of highly
innovative early stage investigations focused on discovery of biomarkers predictive of treatment,
improve clinical trial readiness through enhancement of patient-centered outcome measures, or
process improvement of clinical trials in myasthenia gravis (MG). The MGNet RDCRC will more
precisely define the clinical phenotype of MG subtypes (thymoma-associated, acetylcholine
receptor antibody-positive of late- and early-onset, muscle-specific kinase-positive, ACHR-
MUSK negative) coupled with biospecimen collection. This rich resource will be available for
pilot grant proposals with grant recipients benefiting from MGNet core services in clinical
research coordinator training, immunology, and biostatistics. Investigators will also actively
collaborate with MGNet administration and investigators to assure successful completion of
study milestones. MGNet will request applications on an annual basis and only select the most
promising proposals that fulfill MGNet goals. The pilot study program benefits greatly from the
collaboration of the MG Foundation of America and Conquer MG, which have agreed to fold in
their existing pilot grant programs into the MGNet RDCRC.

## Key facts

- **NIH application ID:** 10437799
- **Project number:** 5U54NS115054-04
- **Recipient organization:** GEORGE WASHINGTON UNIVERSITY
- **Principal Investigator:** Linda Louise Kusner
- **Activity code:** U54 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $105,598
- **Award type:** 5
- **Project period:** 2019-09-01 → 2024-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10437799

## Citation

> US National Institutes of Health, RePORTER application 10437799, MGNet Pilot Studies Program (5U54NS115054-04). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10437799. Licensed CC0.

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