Sepsis biomarkers: recent advances and future perspectives.

Area of Science:

• Critical care medicine
• Biomarker discovery
• Translational research

Background:

• Sepsis is a major cause of death in critically ill patients, characterized by systemic inflammation and organ dysfunction.
• Despite research, translating sepsis biomarkers into clinical practice remains difficult.
• Understanding sepsis pathophysiology is key to improving patient outcomes.

Purpose of the Study:

• To review current sepsis biomarkers and their role in understanding disease mechanisms and predicting outcomes.
• To highlight the impact of advanced technologies on biomarker discovery and validation.
• To inform precision medicine approaches for sepsis.

Main Methods:

• Literature review synthesizing current knowledge on sepsis biomarkers.
• Emphasis on multi-omics integration, bioinformatics, and machine learning.
• Analysis of recent advances and identification of knowledge gaps.

Main Results:

• Current biomarkers aid in understanding sepsis pathophysiology and predicting outcomes.
• Advanced methodologies are crucial for discovering and validating novel biomarkers.
• Innovative technologies are transforming biomarker identification and clinical application.

Conclusions:

• Precision medicine frameworks require innovative technologies for effective sepsis biomarker development.
• Further research is needed to bridge knowledge gaps in sepsis biomarker utility.
• Integrating multi-omics and machine learning holds promise for precision-guided sepsis strategies.