Construction of a molecular diagnostic system for neurogenic rosacea by combining transcriptome sequencing and machine learning.

ABSTRACT: Patients with neurogenic rosacea (NR) frequently demonstrate pronounced neurological manifestations, often unresponsive to conventional therapeutic approaches. A molecular-level understanding and diagnosis of this patient cohort could significantly guide clinical interventions. In this study, we amalgamated our sequencing data (n = 46) with a publicly accessible database (n = 38) to perform an unsupervised cluster analysis of the integrated dataset. The eighty-four rosacea patients were partitioned into two distinct clusters. Neurovascular biomarkers were found to be elevated in cluster 1 compared to cluster 2. Pathways in cluster 1 were predominantly involved in neurotransmitter synthesis, transmission, and functionality, whereas cluster 2 pathways were centered on inflammation-related pr

SUBMITTER: Mao R 

PROVIDER: S-EPMC11396881 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature