Aug 2026· Annals of Intensive Care· Vol 16, pp. 100133· 0 citations· 145 references
Medicine
Abstract
Sepsis is a life-threatening syndrome characterized by a heterogeneous host response to infection that remains a major cause of mortality worldwide. Current clinical scoring systems capture organ dysfunction but fail to reflect the underlying biological diversity, limiting their utility for patient stratification and targeted therapy. This review provides a comprehensive overview of molecular biomarker approaches used to predict sepsis course and prognosis in adult patients, covering genetic, transcriptomic, proteomic, and integrative strategies up to May 2026. Here, we summarize findings from genetic association studies, along with analyses based on polygenic risk scores to aggregate genetic effects, Mendelian randomization, and rare-variant sequencing approaches. We also review transcriptomic and proteomic strategies for endotyping, and diagnostic and prognostic discrimination. Lastly, we discuss how multi-omics integration is emerging as a promising framework to assist in distinguishing causal therapeutic targets from non-causal biomarkers. We also address the challenges that still constrain clinical translation towards precision medicine.
This narrative review synthesizes recent advances in AI-assisted sepsis phenotyping, focusing on three persistent research bottlenecks: terminological inconsistency, fragmented integration between prognostic stratification and treatment-response phenotyping, and ambiguous clinical translation pathways.
Hang Ruan, Jing-Kun Lee, Jie Xiong et al.· Digital Health· 0 citations
Sepsis remains a diagnostic challenge because early clinical manifestations are non-specific and microbiological confirmation often arrives too late to guide first-hour decisions. The 2026 Surviving Sepsis Campaign guidelines reinforce early clinical recognition using validated clinical scores, appropriate diagnostic s...
Erika P. Plata-Menchaca, Enrique Hernández-Jiménez· Frontiers in Medical Technol...· 0 citations
Genomic cardiology has substantial potential to advance precision cardiovascular medicine and continued development of diverse genomic databases, standardized clinical implementation frameworks, and emerging genomic therapies will be important for translating genomic advances into equitable and clinically meaningful ca...
N. Mohsen-Pour, Shiva Esmaeili, Aydin Feyzi et al.· Clinical Cardiology· 0 citations
PURPOSE OF REVIEW
Systemic sclerosis (SSc) is a clinically heterogeneous chronic immune-mediated inflammatory disease with the highest mortality rate among all rheumatic diseases. Although current SSc clinical and serological classifications provide valuable prognostic information, predicting disease progression, and t...
C. Rosa-Baez, C. Rangel-Peláez, Laura Martínez-Gutiérrez et al.· Current Opinion in Rheumatol...· 0 citations
This systematic review outlines the overall research landscape of SIC, including pathological mechanisms, epidemiological profiles, updated diagnostic systems and innovative therapeutic strategies, as well as existing challenges and future research priorities.
Nai-Hong Zhang, Neng Wang, Jia-Wen He et al.· Frontiers in Cardiovascular...· 0 citations
Abstract Background Treatment resistance remains a major barrier to improving outcomes in severe psychiatric disorders, reflecting substantial biological heterogeneity that is not captured by symptom-based diagnosis alone. Emerging multi-omics approaches—particularly metabolomic profiling combined with transcriptome-in...
B. Baune· International Journal of Neu...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.