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Published on: July 2, 2018
Targeted proteomic profiling of cardiogenic shock in the cardiac intensive care unit
Siddharth M Patel1, Mathew S Lopes1, David A Morrow1
1Levine Cardiac Intensive Care Unit, Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St., Boston, MA 02115, USA.
Insights
Researchers identified nine protein biomarkers linked to cardiogenic shock (CS) using proteomic profiling. These markers, including soluble ST2 (sST2) and growth differentiation factor (GDF)-15, may aid in diagnosing CS, especially in heart failure patients.
Area of Science:
- Cardiology
- Proteomics
- Biomarker Discovery
Background:
- Cardiogenic shock (CS) is a life-threatening condition requiring timely diagnosis.
- Current diagnostic methods may benefit from novel biomarkers.
- Proteomic profiling offers a powerful approach to identify such biomarkers.
Purpose of the Study:
- To characterize circulating protein biomarkers associated with cardiogenic shock (CS).
- To utilize highly multiplex proteomic profiling for biomarker discovery in CS.
- To identify potential diagnostic biomarkers for CS using a case-control study.
Main Methods:
- A cross-sectional case-control study design was employed.
- A biorepository of cardiac intensive care unit patients (2017-2020) was used.
- Olink proteomic platform analyzed 359 biomarkers in 239 patients (69 CS cases, 170 controls).
Main Results:
- Sixty-three biomarkers were significantly associated with CS after Bonferroni correction.
- Nine biomarkers remained significant when cross-validated in heart failure (HF) and hypotension subsets.
- Key biomarkers included cathepsin D (CTSD), FGF-21, FGF-23, GDF-15, IGFBP1, NT-proBNP, osteopontin, OSMR, and sST2.
- A multi-marker model using sST2, FGF-23, CTSD, and GDF-15 showed complementary diagnostic information.
Conclusions:
- Targeted proteomic profiling can identify novel candidate biomarkers for CS.
- Nine validated biomarkers show significant association with CS.
- These findings support the potential of proteomic approaches for improving CS diagnosis.
Aims:
We sought to characterize circulating protein biomarkers associated with cardiogenic shock (CS) using highly multiplex proteomic profiling.
Methods And Results:
This analysis employed a cross-sectional case-control study design using a biorepository of patients admitted to a cardiac intensive care unit between 2017 and 2020. Cases were patients adjudicated to have CS, and controls were those presenting for cardiac critical care without shock, including subsets of patients with isolated hypotension or heart failure (HF). The Olink platform was used to analyse 359 biomarkers with Bonferroni correction. The analysis included 239 patients presenting for cardiac critical care (69 cases with CS, 170 non-shock controls). A total of 63 biomarkers (17.7%) were significantly associated with CS after Bonferroni correction compared with all controls. Of these, nine biomarkers remained significantly associated with CS when separately cross-validated in subsets of controls presenting with isolated hypotension and HF: cathepsin D, fibroblast growth factor (FGF)-21 and -23, growth differentiation factor (GDF)-15, insulin-like growth factor-binding protein-1, N-terminal pro-B-type natriuretic peptide, osteopontin, oncostatin-M-specific receptor subunit beta (OSMR), and soluble ST2 protein (sST2). Four biomarkers were identified as providing complementary information for CS diagnosis with development of a multi-marker model: sST2, FGF-23, CTSD, and GDF-15.
Conclusion:
In this pilot study of targeted proteomic profiling in CS, we identified nine biomarkers significantly associated with CS when cross-validated against non-shock controls including those with HF or isolated hypotension, illustrating the potential application of a targeted proteomic approach to identify novel candidates that may support the diagnosis of CS.
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