Finding a Needle in a Haystack: Proteomics in Heart Failure.

Autor: Michelhaugh SA; Department of Medicine, Division of Cardiology, Massachusetts General Hospital, Boston, Massachusetts., Januzzi JL Jr; Department of Medicine, Division of Cardiology, Massachusetts General Hospital, Boston, Massachusetts.; Department of Medicine, Division of Cardiology, Harvard Medical School, Boston, Massachusetts.; Baim Institute for Clinical Research, Boston, Massachusetts.
Jazyk: angličtina
Zdroj: JACC. Basic to translational science [JACC Basic Transl Sci] 2020 Oct 26; Vol. 5 (10), pp. 1043-1053. Date of Electronic Publication: 2020 Oct 26 (Print Publication: 2020).
DOI: 10.1016/j.jacbts.2020.07.007
Abstrakt: Circulating protein biomarkers provide information regarding pathways in heart failure (HF) and can add important value to clinicians. Advancements in proteomics allow researchers to measure a multitude of proteins simultaneously with excellent sensitivity and selectivity to detect low abundance proteins. This helps identify previously unrecognized pathways in HF and discover biomarkers and potential targets for HF therapies. Although several proteomic methods exist, including mass spectrometry, protein microarray, aptamer, and proximity extension assay-based techniques, each have their unique advantages. This paper provides an overview of the various proteomic methods, with examples of how each has contributed to understanding the pathways in HF.
Competing Interests: Dr. Januzzi is supported in part by the Hutter Family Professorship; has been a trustee of the American College of Cardiology; has received grant support from Novartis Pharmaceuticals and Abbott Diagnostics; has received consulting income from Abbott, Janssen, Novartis, and Roche Diagnostics; has participated in clinical endpoint committees/data safety monitoring boards for Abbott, AbbVie, Amgen, CVRx, Janssen, MyoKardia, and Takeda. Mr. Michelhaugh has reported that he has no relationships relevant to the contents of this paper to disclose.
(© 2020 The Authors.)
Databáze: MEDLINE