Executive summary: Blood-based biosurveillance, utilizing whole blood or plasma samples, offers promising potential for early detection of novel pathogens by leveraging existing infrastructure and the information-rich nature of blood.
Key points:
Blood contains diverse biomarkers of infection, including intact pathogens, pathogen-derived proteins, and nucleic acids.
Viruses can enter the bloodstream through various mechanisms, leading to primary and secondary viremia phases.
Viral presence in blood varies by pathogen type, with some establishing persistent infections while others rarely enter the bloodstream.
Whole blood captures intracellular viral content but contains more human DNA, while plasma focuses on circulating viruses and cell-free nucleic acids.
The effectiveness of blood-based biosurveillance depends on factors like sampling strategies, detection sensitivity, and pathogen characteristics.
Further research is needed to analyze pathogen abundance in blood and integrate findings with community prevalence data for comprehensive early warning systems.
This comment was auto-generated by the EA Forum Team. Feel free to point out issues with this summary by replying to the comment, andcontact us if you have feedback.
Executive summary: Blood-based biosurveillance, utilizing whole blood or plasma samples, offers promising potential for early detection of novel pathogens by leveraging existing infrastructure and the information-rich nature of blood.
Key points:
Blood contains diverse biomarkers of infection, including intact pathogens, pathogen-derived proteins, and nucleic acids.
Viruses can enter the bloodstream through various mechanisms, leading to primary and secondary viremia phases.
Viral presence in blood varies by pathogen type, with some establishing persistent infections while others rarely enter the bloodstream.
Whole blood captures intracellular viral content but contains more human DNA, while plasma focuses on circulating viruses and cell-free nucleic acids.
The effectiveness of blood-based biosurveillance depends on factors like sampling strategies, detection sensitivity, and pathogen characteristics.
Further research is needed to analyze pathogen abundance in blood and integrate findings with community prevalence data for comprehensive early warning systems.
This comment was auto-generated by the EA Forum Team. Feel free to point out issues with this summary by replying to the comment, and contact us if you have feedback.