[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-126105-en":3,"doc-seo-126105-105":31,"detail-sidebar-cat-0-en-105":92},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":28,"seo_description":14,"update_tm":29,"read_time":30},126105,5909887256941,"Levi","https://ap-avatar.wpscdn.com/davatar_9964176cb1d06d4a9deccf72a44ae3dc",8,"Research & Report","Identification of hypertension subtypes using microRNA profiles and machine learning - Original Research","Hypertension is a major cardiovascular risk factor, with most cases labeled primary hypertension, while endocrine hypertension represents a smaller but clinically critical fraction driven by conditions such as primary aldosteronism, Cushing’s syndrome, and pheochromocytoma or paraganglioma. Endocrine hypertension is frequently misdiagnosed, delaying targeted treatment, worsening quality of life, and leading to costly antihypertensive therapy. Circulating microRNAs offer a practical biomarker approach. The study integrates supervised machine learning to identify miRNA features distinguishing endocrine hypertension subtypes from primary hypertension.","European Journal of Endocrinology, 2025, 192, 418–428 [https://doi.org/10.1093/ejendo/lvaf052](https://doi.org/10.1093/ejendo/lvaf052)  \nAdvance access publication 19 March 2025  \nOriginal Research  \nIdentification of hypertension subtypes using microRNA profiles and machine learning  \nSmarti Reel, 1,‡ Parminder S. Reel, 1,‡ Josie Van Kralingen,2,‡ Casper K. Larsen,3 Stacy Robertson,2 Scott M. MacKenzie,2 Alexandra Riddell,2 John D. McClure,2 Stelios Lamprou,2  \nJohn M.C. Connell,4 Laurence Amar,3,5 Alessio Pecori,6 Martina Tetti,6 Christina Pamporaki,7,8 Marek Kabat,9 Filippo Ceccato, 10 Matthias Kroiss, 11, 12, 13, 14 Michael C. Dennedy, 15  \nAnthony Stell, 16 Jaap Deinum, 17 Paolo Mulatero,6 Martin Reincke, 14 Anne-Paule Gimenez-Roqueplo,3, 18 Guillaume Assié, 19,20 Anne Blanchard,21  \nFelix Beuschlein,14,22 Gian Paolo Rossi,23 Graeme Eisenhofer,7,8,24 Maria-Christina Zennaro,3, 18 Emily Jefferson, 1, § and Eleanor Davies2, *§  \n1 Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee DD2 4BF, United Kingdom  \n2School of Cardiovascular and Metabolic Health, BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow G12 8TA, United Kingdom  \n3Université Paris Cité, Inserm, PARCC, Paris, France  \n4Molecular and Clinical Medicine, School of Medicine, University of Dundee, Dundee DD2 4BF, United Kingdom 5Assistance Publique-Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Unité Hypertension Artérielle, Paris, France 6 Division of Internal Medicine and Hypertension Unit, Department of Medical Sciences, University of Torino, Torino, Italy 7 Department of Medicine III, University Hospital Carl Gustav Carus, TU Dresden, Germany  \n8 Department of Endocrinology, University Hospital Carl Gustav Carus, TU Dresden, Germany 9 Department of Hypertension, National Institute of Cardiology, Warsaw, Poland  \n10UOC Endocrinologia, Dipartimento di Medicina DIMED, Azienda Ospedaliera-Università di Padova, Padua, Italy  \n11Clinical Chemistry and Laboratory Medicine, Core Unit Clinical Mass Spectrometry, Universitätsklinikum Würzburg, Würzburg, Germany 12Schwerpunkt Endokrinologie/Diabetologie, Medizinische Klinik und Poliklinik I, Universitätsklinikum Würzburg, Würzburg, Germany 13Comprehensive Cancer Center Mainfranken, Universität Würzburg, Würzburg, Germany  \n14 Medizinische Klinik und Poliklinik IV, LMU Klinikum, LMU München, München, Germany  \n15The Discipline of Pharmacology and Therapeutics, School of Medicine, National University of Ireland, Galway, Ireland 16School of Computing and Information Systems, The University of Melbourne, Melbourne, Australia  \n17 Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands  \n18Assistance Publique-Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Service de Génétique, Paris, France 19Université de Paris, Institut Cochin, INSERM, CNRS, Paris F-75014, France  \n20 Department of Endocrinology, Center for Rare Adrenal Diseases, Assistance Publique–Hôpitaux de Paris, Hôpital Cochin, Paris 75014, France  \n21Assistance Publique-Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Centre d’Investigations Cliniques, Paris 9201, France 22Klinik für Endokrinologie, Diabetologie und Klinische Ernährung, UniversitätsSpital Zürich (USZ) und Universität Zürich (UZH), Zurich, Switzerland  \n23 Internal and Emergency Medicine-ESH Specialized Hypertension Center, Department of Medicine-DIMED, University of Padua, Padua, Italy 24 Institute of Clinical Chemistry and Laboratory Medicine, University Hospital Carl Gustav Carus, TU Dresden, Dresden, Germany  \n*Corresponding author: School of Cardiovascular and Metabolic Health, BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow G12  \n8TA, UK. Email: [eleanor.davies@glasgow.ac.uk](eleanor.davies@glasgow.ac.uk)  \nAbstract  \nObjective: Hypertension is a major cardiovascular risk factor affecting about 1 in 3 adults. A∼ lthough the majority of hypertension","cbCaijxjEYpxMvKl","https://ap.wps.com/l/cbCaijxjEYpxMvKl","pdf",1263697,4,1,11,"English","en",105,"# Abstract\n## Objective\n## Methods\n## Results\n## Conclusion","[{\"question\":\"What problem does the study address about hypertension classification?\",\"answer\":\"It focuses on distinguishing endocrine hypertension subtypes from primary hypertension, because endocrine cases are often misdiagnosed as primary hypertension.\"},{\"question\":\"How does the study approach subtype identification?\",\"answer\":\"It uses circulating microRNA profiles and multiple supervised machine learning methods to learn discriminating miRNA features.\"},{\"question\":\"What performance results are reported for the trained models?\",\"answer\":\"The models classify PPGL, CS, and EHT from PHT with AUC around 0.9, and classify PA from PHT with AUC around 0.8 on the test set.\"}]","Identification of hypertension subtypes using microRNA profiles and machine learning - Original Research | PDF",1785903185,28,{"code":4,"msg":32,"data":33},"ok",{"site_id":25,"language":24,"slug":34,"title":13,"keywords":35,"description":14,"schema_data":36,"social_meta":87,"head_meta":89,"extra_data":91,"updated_unix":29},"identification-of-hypertension-subtypes-using-microrna-profiles-and-machine-learning-original-research","",{"@graph":37,"@context":86},[38,54,69],{"@type":39,"itemListElement":40},"BreadcrumbList",[41,45,49,52],{"item":42,"name":43,"@type":44,"position":21},"https://docshare.wps.com","Home","ListItem",{"item":46,"name":47,"@type":44,"position":48},"https://docshare.wps.com/document/","Document",2,{"item":50,"name":12,"@type":44,"position":51},"https://docshare.wps.com/document/research-report/",3,{"item":53,"name":13,"@type":44,"position":20},"https://docshare.wps.com/document/identification-of-hypertension-subtypes-using-microrna-profiles-and-machine-learning-original-research/126105/",{"url":53,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":24,"description":14,"dateModified":62,"datePublished":63,"encodingFormat":61,"isAccessibleForFree":64,"interactionStatistic":65},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":42,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-22","2026-08-05",true,{"@type":66,"interactionType":67,"userInteractionCount":20},"InteractionCounter",{"@type":68},"ViewAction",{"@type":70,"mainEntity":71},"FAQPage",[72,78,82],{"name":73,"@type":74,"acceptedAnswer":75},"What problem does the study address about hypertension classification?","Question",{"text":76,"@type":77},"It focuses on distinguishing endocrine hypertension subtypes from primary hypertension, because endocrine cases are often misdiagnosed as primary hypertension.","Answer",{"name":79,"@type":74,"acceptedAnswer":80},"How does the study approach subtype identification?",{"text":81,"@type":77},"It uses circulating microRNA profiles and multiple supervised machine learning methods to learn discriminating miRNA features.",{"name":83,"@type":74,"acceptedAnswer":84},"What performance results are reported for the trained models?",{"text":85,"@type":77},"The models classify PPGL, CS, and EHT from PHT with AUC around 0.9, and classify PA from PHT with AUC around 0.8 on the test set.","https://schema.org",{"og:url":53,"og:type":88,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":90,"canonical":53},"index,follow",{"doc_id":7,"site_id":25},{"code":4,"msg":5,"data":93},[94,98,102,106,111,116,121,124,129,132,136],{"id":21,"doc_module":4,"doc_module_name":47,"category_name":95,"show_sort_weight":96,"slug":97},"Story & Novel",90,"story-novel",{"id":48,"doc_module":4,"doc_module_name":47,"category_name":99,"show_sort_weight":100,"slug":101},"Literature",80,"literature",{"id":20,"doc_module":4,"doc_module_name":47,"category_name":103,"show_sort_weight":104,"slug":105},"Exam",70,"exam",{"id":107,"doc_module":4,"doc_module_name":47,"category_name":108,"show_sort_weight":109,"slug":110},5,"Comic",60,"comic",{"id":112,"doc_module":4,"doc_module_name":47,"category_name":113,"show_sort_weight":114,"slug":115},6,"Technology",50,"technology",{"id":117,"doc_module":4,"doc_module_name":47,"category_name":118,"show_sort_weight":119,"slug":120},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":47,"category_name":12,"show_sort_weight":122,"slug":123},30,"research-report",{"id":125,"doc_module":4,"doc_module_name":47,"category_name":126,"show_sort_weight":127,"slug":128},9,"Religion & Spirituality",20,"religion-spirituality",{"id":127,"doc_module":4,"doc_module_name":47,"category_name":130,"show_sort_weight":127,"slug":131},"World Cup","world-cup",{"id":133,"doc_module":4,"doc_module_name":47,"category_name":134,"show_sort_weight":133,"slug":135},10,"Lifestyle","lifestyle",{"id":137,"doc_module":4,"doc_module_name":47,"category_name":138,"show_sort_weight":107,"slug":139},19,"General","general"]