{"id":"46081","type":"article","url":"https://hartvaat.nl/2026/04/10/proteomics-onthult-vier-subgroepen-van-acuut-hfpef-met-eigen-biologische-routes-/","title":"Proteomics onthult vier subgroepen van acuut HFpEF met eigen biologische routes (PURSUIT-HFpEF)","title_en":"","category":"algemeen","category_label":"Algemeen","professions":["cardioloog"],"tags":[],"journal":"Heart","doi":"http://heart.bmj.com/cgi/content/short/112/9/504?rss=1","source_url":"https://doi.org/http://heart.bmj.com/cgi/content/short/112/9/504?rss=1","authors":["Sotomi","Y.","Matsuoka","Y.","Ebert","C.","Wang","Z.","Ohtani","T.","Kammerhoff","K.","Liu","L.","Schafer","P.","Chang","C.-P.","Gordon","D.","Hikoso","S.","Chirinos","J. A.","Zhao","L.","Sakata","Y."],"significance":6,"published":"2026-07-22","source_date":"2026-04-10","image":"https://hartvaat.nl/global/img/5e97691e9888.webp","kennis":["https://hartvaat.nl/kennis/coronairlijden/ischemie-reperfusieschade/","https://hartvaat.nl/kennis/farmacologie/betablokkers-cardiale-indicaties/"],"congress":"","summary_en":"The marked heterogeneity of heart failure with preserved ejection fraction (HFpEF) hampers treatment development; distinguishing phenogroups may help tailor therapy. This post-hoc analysis of the prospective, multicentre PURSUIT-HFpEF study (patients hospitalised with acute decompensated HFpEF) examined, in 198 patients with available proteomics data, the protein patterns of phenogroups identified by a machine-learning clustering model. Patients were classified into four phenogroups, each with distinct biological pathways. The study shows that proteomics-driven phenotyping of HFpEF can uncover specific pathophysiological mechanisms per subgroup — a step toward more targeted treatment strategies.","created":"2026-07-03T20:27:16Z","updated":"2026-07-04T19:09:44Z","licence":"Citeer vrij, met bronvermelding en een link naar hartvaat.nl (de url van het record). Samenvattingen zijn redactioneel werk van HartVaat; de oorspronkelijke publicaties blijven van hun uitgevers (doi). Geen medisch advies.","body_markdown":"De grote heterogeniteit van hartfalen met behouden ejectiefractie (HFpEF) bemoeilijkt de ontwikkeling van behandelingen; het onderscheiden van fenogroepen kan helpen om therapie op maat te maken. Deze post-hocanalyse van de prospectieve, multicentrische PURSUIT-HFpEF-studie (patiënten opgenomen met acuut gedecompenseerd HFpEF) onderzocht bij 198 patiënten met beschikbare proteomicsdata de eiwitpatronen van fenogroepen die met een machine-learning-clustermodel werden geïdentificeerd. De patiënten werden in vier fenogroepen ingedeeld, elk met onderscheidende biologische routes. De studie laat zien dat proteomics-gestuurde fenotypering van HFpEF specifieke pathofysiologische mechanismen per subgroep kan blootleggen — een stap richting gerichtere behandelstrategieën.","abstract_original":"<sec><st>Background</st>\n<p>Heterogeneity of heart failure with preserved ejection fraction (HFpEF) results in significant challenges for treatment development. Identifying and characterising distinct HFpEF phenogroups may aid in tailoring therapeutic strategies for these patients. The objective of this study was to assess proteomic patterns of HFpEF phenogroups identified through a machine-learning-based clustering model, with the aim of uncovering specific biological pathways associated with each phenogroup.</p>\n</sec>\n<sec><st>Methods</st>\n<p>This study represents a post-hoc analysis of the ongoing Prospective mUlticenteR obServational stUdy of patIenTs with Heart Failure with preserved Ejection Fraction (PURSUIT-HFpEF) study, which is a multicentre prospective observational study of hospitalised patients with acute decompensated HFpEF. Of the overall cohort (N=1238), this study analysed 198 patients with HFpEF with available proteomics data. These patients were classified into four"}