Plasma protein biomarkers and their association with mutually exclusive cardiovascular phenotypes: the FIBRO-TARGETS case-control analyses

• Tipo: Artigo em Revista Científica Internacional
• Data: 2020

Autores

Ferreira, JP (Autor) FMUP; Pizard, A (Autor) Outra; Machu, JL (Autor) Outra; Bresso, E (Autor) Outra; Brunner La Rocca, HP (Autor) Outra; Girerd, N (Autor) Outra; Leroy, C (Autor) Outra; Gonzalez, A (Autor) Outra; Diez, J (Autor) Outra; Heymans, S (Autor) Outra; Devignes, MD (Autor) Outra; Rossignol, P (Autor) Outra; Zannad, F (Autor) Outra

Revista

Título: Clinical Research in Cardiology

Vol. 109

Páginas: 22-33

ISSN: 1861-0684

Editora: Springer Nature

Indexação

ISI Web of Knowledge - 12 Citações

Scopus - 10 Citações

Outras Informações

ID Authenticus: P-00Q-KKC

DOI: 10.1007/s00392-019-01480-4

Abstract (EN): Background Hypertension, obesity and diabetes are major and potentially modifiable "risk factors" for cardiovascular diseases. Identification of biomarkers specific to these risk factors may help understanding the underlying pathophysiological pathways, and developing individual treatment. Methods The FIBRO-TARGETS (targeting cardiac fibrosis for heart failure treatment) consortium has merged data from 12 patient cohorts in 1 common database of > 12,000 patients. Three mutually exclusive main phenotypic groups were identified ("cases"): (1) "hypertensive"; (2) "obese"; and (3) "diabetic"; age-sex matched in a 1:2 proportion with "healthy controls" without any of these phenotypes. Proteomic associations were studied using a biostatistical method based on LASSO and confronted with machine-learning and complex network approaches. Results The case:control distribution by each cardiovascular phenotype was hypertension (50:100), obesity (50:98), and diabetes (36:72). Of the 86 studied proteins, 4 were found to be independently associated with hypertension: GDF-15, LEP, SORT-1 and FABP-2; 3 with obesity: CEACAM-8, LEP and PRELP; and 4 with diabetes: GDF-15, REN, CXCL-1 and SCF. GDF-15 (hypertension + diabetes) and LEP (hypertension + obesity) are shared by 2 different phenotypes. A machine-learning approach confirmed GDF-15, LEP and SORT-1 as discriminant biomarkers for the hypertension group, and LEP plus PRELP for the obesity group. Complex network analyses provided insight on the mechanisms underlying these disease phenotypes where fibrosis may play a central role. Conclusion Patients with "mutually exclusive" phenotypes display distinct bioprofiles that might underpin different biological pathways, potentially leading to fibrosis. Graphic abstract Plasma protein biomarkers and their association with mutually exclusive cardiovascular phenotypes: the FIBRO-TARGETS case-control analyses. Patients with "mutually exclusive" phenotypes (blue: obesity, hypertension and diabetes) display distinct protein bioprofiles (green: decreased expression; red: increased expression) that might underpin different biological pathways (orange arrow), potentially leading to fibrosis. [GRAPHICS] .

Idioma: Inglês

Tipo (Avaliação Docente): Divulgação

Nº de páginas: 12