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2025 (English)In: Frontiers in Endocrinology, E-ISSN 1664-2392Article in journal (Refereed) Published
Abstract [en]
Background: Primary aldosteronism (PA) is the principal cause of secondaryhypertension; it leads to significantly elevated cardiovascular morbidity andmortality, but only a fraction of its cases ever get detected, partially due todiagnostic procedures that are difficult to perform and to interpret. Morestraightforward diagnostic methods are needed. Lateralized, or unilateral PA(uPA), is best treated by surgery. Bilateral PA (bPA) is treated medically.Aim: The aim of our study was to explore microRNA (miRNA) in peripheral bloodas markers of PA, uPA and bPA.
Methods: In groups of subjects with primary hypertension (HT, n = 11), bPA (n =12), and uPA (n = 16), peripheral serum was used for isolation of total RNA, librarypreparation, and NGS sequencing to achieve a comparative analysis of miRNAexpression. Five-fold cross-validation support vector machine learning (ML)models were employed to search for miRNA that could be used as markers ofPA and its forms.
Results: In our cohort of patients, the discovered combinations of miRNAs could,with a high level of accuracy, sensitivity, and specificity, characterize thedifference between HT and PA, as well as between a combined group of HT +bPA vs. uPA. The differentiating parameters were moderately good forcomparison of bPA vs. uPA.
Conclusion: Within our patient cohort, and using ML, the study identifieddistinctly different miRNA profiles between HT and PA, as well as between bPAand uPA. Further validation studies may lead to the emergence of a new tool forclinical diagnostics of PA.
Place, publisher, year, edition, pages
Lausanne: Frontiers Media S.A., 2025
National Category
Surgery
Research subject
Medical Science
Identifiers
urn:nbn:se:uu:diva-553580 (URN)10.3389/fendo.2025.1511096 (DOI)001457813300001 ()40182638 (PubMedID)2-s2.0-105001691132 (Scopus ID)
2025-03-282025-03-282025-04-24Bibliographically approved