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Erschienen in: Clinical Research in Cardiology 1/2020

06.05.2019 | Original Paper

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

verfasst von: João Pedro Ferreira, Anne Pizard, Jean-Loup Machu, Emmanuel Bresso, Hans-Peter Brunner-La Rocca, Nicolas Girerd, Céline Leroy, Arantxa González, Javier Diez, Stephane Heymans, Marie-Dominique Devignes, Patrick Rossignol, Faiez Zannad, the FIBRO-TARGETS investigators

Erschienen in: Clinical Research in Cardiology | Ausgabe 1/2020

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Abstract

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.
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Metadaten
Titel
Plasma protein biomarkers and their association with mutually exclusive cardiovascular phenotypes: the FIBRO-TARGETS case–control analyses
verfasst von
João Pedro Ferreira
Anne Pizard
Jean-Loup Machu
Emmanuel Bresso
Hans-Peter Brunner-La Rocca
Nicolas Girerd
Céline Leroy
Arantxa González
Javier Diez
Stephane Heymans
Marie-Dominique Devignes
Patrick Rossignol
Faiez Zannad
the FIBRO-TARGETS investigators
Publikationsdatum
06.05.2019
Verlag
Springer Berlin Heidelberg
Erschienen in
Clinical Research in Cardiology / Ausgabe 1/2020
Print ISSN: 1861-0684
Elektronische ISSN: 1861-0692
DOI
https://doi.org/10.1007/s00392-019-01480-4

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