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Endocrine Abstracts (2025) 110 P133 | DOI: 10.1530/endoabs.110.P133

1Centre of Postgraduate Medical Education, EndoLab Laboratory, Department of Endocrinology, Warsaw, Poland; 2Children’s Memorial Health Institute, Department of Clinical Biochemistry, Warsaw, Poland; 3The Children’s Memorial Health Institute, Clinical Biochemistry, Laboratory for the Diagnosis of Metabolic Disorders and Steroidogenesis, Warsaw, Poland; 4Centre of Postgraduate Medical Education, Department of Cell Biology and Immunology, Warsaw, Poland; 5Poznan University of Medical Sciences, Department of Endocrinology, Metabolism and Internal Medicine, Poznań, Poland; 6Medical University of Warsaw, Department of Internal Medicine and Endocrinology, Warsaw, Poland; 7Centre of Postgraduate Medical Education, Department of Endocrinology, Warsaw, Poland


JOINT1953

Introduction: The application of metabolomics studies of determining the profile of steroid hormones or their metabolites in blood or urine opens new research directions in the diagnosis of adrenal diseases. In addition, studies of new biomarkers in the form of proteins, peptides, neuropeptides can be useful at various stages of the diagnostic and therapeutic process. Proteins and peptides of the granin family are produced and secreted into blood from endo- and neuroendocrine cells, along with hormones. The aim of the projects was the clinical and analytical evaluation of new biomarkers: urinary steroid hormone profiles and selected proteins and neuropeptides from granin family.

Materials and methods: The study included 61 patients with various adrenal tumors (mean age 48 years, 55% females; 26 MACS, 7 CS, 9 PA, 19 NFAA). All patients with adrenal tumors were analyzed for 41 different steroid hormone metabolites in a 24-hour urine samples. In addition, CgA, WE-14, Catestatin, Serpinin and proSAAS concentrations were determined in blood. Analyses were performed by GC/MS and ELISA methods.

Results: In the study groups (CS, MACS, PA, NFAA), urinary steroid profile analysis and profile testing of selected granin family proteins and peptides were performed. Comparison of CS vs. NFAA group revealed significant differences for: ET/AN (P=0.010), THS (P=0.003), THF (P=0.007), Free cortisol (P=0.004) and CgA (P=0.002) with higher level in CS group in all cases. Significant difference for MACS vs. NFAA was confirmed for: AN (P=0.008), An-3-ol (P=0.002), with higher level in NFAA group and for THS (P=0.009) with higher level in MACS group. For PA vs. NFAA there was a significant difference for THAldo (P=0.026) with higher level in PA group. The next stage of the project was the analysis of selected urinary steroid profile biomarkers (ET/AN, THS, THF, Free cortisol) and protein – chromogranin A in a group of patients with CS in order to assess the usefulness of this diagnostic tool. In the study of a panel of biomarkers (ET/AN + CgA, THS + CgA, THF + CgA, Free cortisol + CgA), the sensitivity and specificity rates were over 80–100%.

Conclusions: The study of urinary metabolomic profile and chromogranin A concentration has shown high usefulness in the diagnosis of Cushing’s syndrome. The analysis of combined metabolomic and immunochemical studies may be useful in the in-depth biochemical diagnosis of adrenal tumor lesions.

Volume 110

Joint Congress of the European Society for Paediatric Endocrinology (ESPE) and the European Society of Endocrinology (ESE) 2025: Connecting Endocrinology Across the Life Course

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