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Insulin Growth Factor Phenotypes in Heart Failure With Preserved Ejection Fraction, an INSPIRE Registry and CATHGEN Study.
Haddad, Francois; Ataam, Jennifer Arthur; Amsallem, Myriam; Cauwenberghs, Nicholas; Kuznetsova, Tatiana; Rosenberg-Hasson, Yael; Zamanian, Roham T; Karakikes, Ioannis; Horne, Benjamin D; Muhlestein, Joseph B; Kwee, Lydia; Shah, Svati; Maecker, Holden; Knight, Stacey; Knowlton, Kirk.
Afiliação
  • Haddad F; Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA; Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA; Vera Moulton Wall Center at Stanford, Stanford University School of Medicine, Stanford, CA, USA. Electronic address: fh
  • Ataam JA; Division of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, CA, USA; Institute for Immunity, Transplantation, and Infection, Stanford University School of Medicine, Stanford, CA, USA.
  • Amsallem M; Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA; Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA; Vera Moulton Wall Center at Stanford, Stanford University School of Medicine, Stanford, CA, USA.
  • Cauwenberghs N; Research Unit of Hypertension and Cardiovascular Epidemiology, Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium.
  • Kuznetsova T; Research Unit of Hypertension and Cardiovascular Epidemiology, Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium.
  • Rosenberg-Hasson Y; Institute for Immunity, Transplantation, and Infection, Stanford University School of Medicine, Stanford, CA, USA.
  • Zamanian RT; Vera Moulton Wall Center at Stanford, Stanford University School of Medicine, Stanford, CA, USA.
  • Karakikes I; Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA; Division of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, CA, USA.
  • Horne BD; Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA; Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA; Intermountain Medical Center, Heart Institute, Salt Lake City, UT, USA.
  • Muhlestein JB; Intermountain Medical Center, Heart Institute, Salt Lake City, UT, USA.
  • Kwee L; Department of Internal Medicine, Division of Cardiology, Duke University Medical Center, Durham, NC, USA; and Duke Molecular Physiology Institute, Duke University, Durham, NC, USA.
  • Shah S; Department of Internal Medicine, Division of Cardiology, Duke University Medical Center, Durham, NC, USA; and Duke Molecular Physiology Institute, Duke University, Durham, NC, USA.
  • Maecker H; Institute for Immunity, Transplantation, and Infection, Stanford University School of Medicine, Stanford, CA, USA.
  • Knight S; Intermountain Medical Center, Heart Institute, Salt Lake City, UT, USA; Department of Internal Medicine, University of Utah School of Medicine, University of Utah, Salt Lake City, Utah.
  • Knowlton K; Intermountain Medical Center, Heart Institute, Salt Lake City, UT, USA; Department of Internal Medicine, University of Utah School of Medicine, University of Utah, Salt Lake City, Utah.
J Card Fail ; 28(6): 935-946, 2022 06.
Article em En | MEDLINE | ID: mdl-34979242
ABSTRACT

BACKGROUND:

The insulin-like growth factor (IGF) axis emerged as an important pathway in heart failure with preserved ejection (HFpEF). We aimed to identify IGF phenotypes associated with HFpEF in the context of high-dimensional proteomic profiling.

METHODS:

From the INtermountain Healthcare Biological Samples Collection Project and Investigational REgistry for the On-going Study of Disease Origin, Progression and Treatment (Intermountain INSPIRE Registry), we identified 96 patients with HFpEF and matched controls. We performed targeted proteomics, including IGF-1,2, IGF binding proteins (IGFBP) 1-7 and 111 other proteins (EMD Millipore and ELISA). We used partial least square discriminant analysis (PLS-DA) to identify a set of proteins associated with prevalent HFpEF, pulmonary hypertension and 5-year all-cause mortality. K-mean clustering was used to identify IGF phenotypes.

RESULTS:

Patients with HFpEF had a high prevalence of systemic hypertension (95%) and coronary artery disease (74%). Using PLS-DA, we identified a set of biomarkers, including IGF1,2 and IGFBP 1,2,7, that provided a strong discrimination of HFpEF, pulmonary hypertension and mortality with an area under the curve of 0.91, 0.77 and 0.83, respectively. Using K mean clustering, we identified 3 IGF phenotypes that were independently associated with all-cause 5-year mortality after adjustment for age, NT-proBNP and kidney disease (P = 0.004). Multivariable analysis validated the prognostic value of IGFBP-1 and 2 in the CATHeterization GENetics (CATHGEN) biorepository.

CONCLUSION:

IGF phenotypes were associated with pulmonary hypertension and mortality in HFpEF.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Insuficiência Cardíaca / Hipertensão Pulmonar Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Insuficiência Cardíaca / Hipertensão Pulmonar Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article