To provide tools to select the likely most effective therapy for each patient with giant cell arteritis (GCA) right from the time of diagnosis.
We applied multi-omics technologies in inflamed temporal artery biopsies (TABs) from patients with Giant Cell Arteritis (GCA) (n=77) and normal TABs from patients without GCA (n=15). The analysis of the transcriptome, proteome and DNA methylation respectively on RNA, proteins and DNA extracted in parallel from the same tissue provides the unprecedented opportunity to perform multi-omics integration.
Inflamed TABs from patients with GCA revealed distinct molecular signatures compared to normal TABs from control patients. We identified set of genes, miRNAs, proteins expressed at higher or lower levels in inflamed versus normal TABs and CpGs differentially methylated. These results increase the knowledge on GCA pathogenesis and provide possible novel therapeutic targets for GCA. The comparison of molecular portraits between patients (I) with and without different clinical symptoms; (II) with and without flares revealed few biomarkers for patients stratification, suggesting that the investigated clinical characteristics may not derive from specific alterations in TABs.
The proposed research aimed to develop and validate biological markers which can be measured at diagnosis in samples from patients with Giant Cell Arteritis (GCA) to select the likely most effective individual therapy. GCA is a common inflammatory disease of the arteries (vasculitis), typically occurring after 50 years of age. The mainstay of therapy are glucocorticoids, but around one third of patients develop flares during therapy or after therapy discontinuation. Therefore, the discovery of new targets for additional therapies is a clinical need. Patients with GCA show clinical heterogeneity. Increasing the knowledge on the bases of clinical heterogeneity will allow to improve precision medicine for this disease. To confirm the diagnosis, patients are subjected to temporal artery biopsies (TABs), which gives the opportunity to study the tissues affected by inflammation. We hypothesized that molecular characteristics in TABs can determine the response to therapies of patients and their clinical manifestations.
We thus performed different kinds of high-throughput molecular analyses on TABs from 77 patients showing different clinical manifestations and different response to therapies. Specifically, we analysed all RNA transcripts, proteins and epigenetic modifications (DNA methylations). We identified several biomarkers which distinguished inflamed arteries from patients with GCA and normal arteries from control patients without GCA. This increased the knowledge on disease pathogenesis and provided novel targets which could be evaluated to develop novel therapies. Few biomarkers resulted associated with the clinical heterogeneity / differences among patients. They will be subjected to validation analyses to verify their potential clinical utility.
2020
2023