Clinical Scorecard: Combining Single-Cell and Bulk Transcriptomic Analysis with Machine Learning Reveals LDHA as a Lactate-Associated Biomarker for Diagnosis and Prognosis in Sepsis

At a Glance

Key Highlights

• LDHA identified as a potential biomarker for sepsis severity and prognosis.
• Elevated serum lactate levels are associated with increased mortality in sepsis.
• Integration of single-cell and bulk transcriptomic data enhances biomarker discovery.

Guideline-Based Recommendations

Diagnosis

• Persistent serum lactate levels > 2 mmol/L despite adequate fluid resuscitation indicate septic shock.

Management

• Utilize lactate levels as a prognostic marker in sepsis management.

Monitoring & Follow-up

• Monitor lactate levels to assess disease severity and treatment response.

Risks

• Variable treatment responses and outcomes due to sepsis heterogeneity.

Patient & Prescribing Data

Adult and pediatric patients with sepsis

Focus on restoring immune homeostasis through targeting immune–metabolic pathways.

Clinical Best Practices

• Employ machine learning frameworks to identify robust biomarkers in sepsis.
• Conduct survival analyses with caution due to retrospective design and heterogeneous clinical annotations.

References

• Sepsis-3 Definition
• Gene Expression Omnibus (GEO)