# Cuproptosis Signature Would Reveal the Acute‐Remitting Pattern in Patients with Neuromyelitis Optica Spectrum Disorder

## TL;DR

Researchers found that cuproptosis-related genes can predict relapse patterns in neuromyelitis optica spectrum disorder patients, helping doctors plan better interventions.

## Contribution

A machine learning model using cuproptosis-related genes is developed to predict NMOSD relapse risk.

## Key findings

- Cuproptosis-related genes impact the acute-remitting course in AQP4-positive NMOSD patients.
- A CRPR model successfully divides NMOSD patients into high/low relapse risk groups.
- A nomogram based on CRPR predicts relapse likelihood in new NMOSD cases.

## Abstract

The acute‐remitting course (the time interval from remission to the next relapse) is a distinct signature of neuromyelitis optica spectrum disorder (NMOSD), which harms patients and perplexes physicians. However, clinically actionable biomarkers to anticipate NMOSD relapse timing are unavailable. Recently, it is found that Cuproptosis‐related genes would have an impact on the acute‐remitting course in patients with aquaporin‐4 (AQP4)‐immunoglobulin G antibody positive NMOSD. A machine learning‐based algorithm is developed to construct a consensus Cuproptosis‐related prognosis risk (CRPR) model, followed by training a proportional hazards model to divide patients with NMOSD into high/low relapse risk groups. The CRPR is related to the clinical symptoms of patients with NMOSD. Finally, a nomogram is created using CRPR to predict the possibility of relapse in new cases of NMOSD. This prediction model can assist physicians and help develop appropriate interventions to prevent disease relapse.

Neuromyelitis optica spectrum disorder (NMOSD) has distinct acute‐remitting courses but lacks biomarkers for predicting relapse. Recent studies found cuproptosis‐related genes affect its course, and a model built accordingly can predict relapse to aid intervention.