Multi-Omics–Enabled Diagnostic Pathways for Optimizing Clinical Management of Prosthetic Valve Infective Endocarditis

2026-03-08T16:33:50+00:00

Prosthetic valve infective endocarditis (PVIE) remains among the most clinically complex infectious syndromes because diagnosis is frequently time-sensitive, microbiology can be inconpletely informative, host responses are heterogeneous, and management decisions must balance antimicrobial efficacy, embolic and hemodynamic risk, and surgical timing. Contemporary “omics” technologies—genomics, transcriptomics, proteomics, metabolomics, and integrative multi-omics—offer a pathway to strengthen PVIE care by moving beyond single-marker diagnostics toward composite, mechanism-informed signatures of pathogen presence, virulence, host immune activation, tissue injury, and treatment response (Horgan & Kenny, 2011; D’Adamo et al., 2021; Chen et al., 2023). However, clinical translation is constrained by analytic complexity, interpretability, operational feasibility, and the risk of overpromising clinical utility without robust validation (Boyd et al., 2014; Subramanian et al., 2020; Wekesa & Kimwele, 2023). This study develops a publication-ready conceptual and methodological framework for integrating multi-omics diagnostics into PVIE clinical pathways, with the goal of improving diagnostic certainty, prognostic stratification, and treatment monitoring. Using a structured qualitative synthesis of the provided literature, we derive a PVIE-specific multi-omics logic model that maps clinical questions to omics layers, proposes integration strategies suited to heterogeneous clinical data, and anticipates implementation challenges in real-world endocarditis teams (Subramanian et al., 2020; Shahrajabian & Sun, 2023; Sibilio et al., 2025). Particular attention is given to PVIE due to Staphylococcus aureus, given its clinical severity and prognostic importance, and to emerging echocardiographic criteria and evolving clinical research directions in infective endocarditis (Diego-Yagüe et al., 2024; Poggio Pantte & Santa María, 2024; Editorial, 2023; Olmos et al., 2024). The resulting framework emphasizes clinical actionability, staged implementation (from targeted panels to integrative signatures), and governance of uncertainty to ensure that multi-omics strengthens rather than complicates patient care (Boyd et al., 2014; D’Adamo et al., 2021).

International Journal of Medical Sciences And Clinical Research

Multi-Omics–Enabled Diagnostic Pathways for Optimizing Clinical Management of Prosthetic Valve Infective Endocarditis