Nature communications
Authors: Jaumdally S, Tomasicchio M, Pooran A, Esmail A, Kotze A, Meier S, Wilson L, Oelofse S, van der Merwe C, Roomaney A, Davids M, Suliman T, Joseph R, Perumal T, Scott A, Shaw M, Preiser W, Williamson C, Goga A, Mayne E, Gray G, Moore P, Sigal A, Limberis J, Metcalfe J, Dheda K
Atherosclerosis
Authors: Berlot AA, Fu X, Shea MK, Tracy R, Budoff M, Kim RS, Naveed M, Booth SL, Kizer JR, Bortnick AE
Journal of the American College of Cardiology
Authors: Newman JD, O'Meara E, Böhm M, Savarese G, Kelly PR, Vardeny O, Allen LA, Lancellotti P, Gottlieb SS, Samad Z, Morris AA, Desai NR, Rosano GMC, Teerlink JR, Giraldo CS, Lindenfeld J
Volume 11 | Frontiers in cardiovascular medicine
Authors: Siggins C, Pan JA, Löffler AI, Yang Y, Shaw PW, Balfour PC, Epstein FH, Gan LM, Kramer CM, Keeley EC, Salerno M
INTRODUCTION
Heart failure with preserved ejection fraction (HFpEF) is a complex disease process influenced by metabolic disorders, systemic inflammation, myocardial fibrosis, and microvascular dysfunction. The goal of our study is to identify potential relationships between plasma biomarkers and cardiac magnetic resonance (CMR) imaging markers in patients with HFpEF.
METHODS
Nineteen subjects with HFpEF and 15 age-matched healthy controls were enrolled and underwent multiparametric CMR and plasma biomarker analysis using the Olink® Cardiometabolic Panel (Olink Proteomics, Uppsala, Sweden). Partial least squares discriminant analysis (PLS-DA) was used to characterize CMR and biomarker variables that differentiate the subject groups into two principal components. Orthogonal projection to latent structures by partial least squares (OPLS) analysis was used to identify biomarker patterns that correlate with myocardial perfusion reserve (MPR) and extracellular volume (ECV) mapping.
RESULTS
A PLS-DA could differentiate between HFpEF and normal controls with two significant components explaining 79% (Q2 = 0.47) of the differences. For OPLS, there were 7 biomarkers that significantly correlated with ECV (R2 = 0.85, Q = 0.53) and 6 biomarkers that significantly correlated with MPR (R2 = 0.92, Q2 = 0.32). Only 1 biomarker significantly correlated with both ECV and MPR.
DISCUSSION
Patients with HFpEF have unique imaging and biomarker patterns that suggest mechanisms associated with metabolic disease, inflammation, fibrosis and microvascular dysfunction.
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Intensive care medicine
Authors: Pickkers P, Angus DC, Bass K, Bellomo R, van den Berg E, Bernholz J, Bestle MH, Doi K, Doig CJ, Ferrer R, Francois B, Gammelager H, Pedersen UG, Hoste E, Iversen S, Joannidis M, Kellum JA, Liu K, Meersch M, Mehta R, Millington S, Murray PT, Nichol A, Ostermann M, Pettilä V, Solling C, Winkel M, Young PJ, Zarbock A, REVIVAL investigators
JAMA network open
Authors: Raghu Subramanian C, Yang DA, Khanna R
AIDS and behavior
Authors: Keuroghlian AS, Marc L, Goldhammer H, Massaquoi M, Downes A, Stango J, Bryant H, Cahill S, Yen J, Perez AC, Head JM, Mayer KH, Myers J, Rebchook GM, Bourdeau B, Psihopaidas D, Chavis NS, Cohen SM
Arthritis care & research
Authors: Chung SA, Kermani TA
Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer
Authors: Soto-Perez-de-Celis E, Ke Y, Tanay M, Dagsi M, Bergerot C, Dixit N, Eng L, Cardeña-Gutiérrez A, Jiang C, Velazquez AI, Islami F, Chan A
Breast cancer research : BCR
Authors: Rodón J, Demanse D, Rugo HS, Burris HA, Simó R, Farooki A, Wellons MF, André F, Hu H, Vuina D, Quadt C, Juric D
