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Lactate and lactylation in sepsis-associated acute kidney injury: clinical evidence from the MIMIC-IV database and mechanistic insights.

Frontiers in medicine2025-12-01PubMed
Total: 80.0Innovation: 8Impact: 8Rigor: 8Citation: 8

Summary

In 11,431 ICU sepsis patients, higher admission lactate and lower lactate clearance independently predicted SA-AKI, CRRT use, and mortality, with a nonlinear risk inflection above ~5.7 mmol/L. In CLP mice, kidney-specific protein lactylation increased, suggesting a mechanistic link between lactate metabolism and renal vulnerability.

Key Findings

  • Elevated lactate independently associated with higher SA-AKI risk, CRRT use, and 28-day mortality in 11,431 sepsis patients.
  • Restricted cubic spline identified a nonlinear risk increase with an inflection around 5.7 mmol/L.
  • CLP mice showed kidney-specific upregulation of protein lactylation, suggesting a mechanistic link to renal injury.

Clinical Implications

Incorporate admission lactate and lactate clearance into SA-AKI risk models and early nephroprotective strategies. Consider monitoring lactylation-related pathways as potential therapeutic targets pending further validation.

Why It Matters

Bridging large-scale human data with mechanistic mouse evidence, this work elevates lactate from a perfusion marker to a signaling mediator via lactylation in SA-AKI. It defines actionable thresholds and dynamic metrics (lactate clearance) for risk stratification.

Limitations

  • Observational retrospective design with residual confounding; sepsis phenotyping based on EHR
  • Mechanistic lactylation evidence limited to mice; human kidney tissue validation lacking

Future Directions

Validate lactylation signatures in human kidney tissue/urine, test lactate/lactylation-modulating interventions, and integrate lactate dynamics into predictive tools for SA-AKI.

Study Information

Study Type
Cohort
Research Domain
Prognosis
Evidence Level
III - Retrospective ICU cohort analysis supplemented by mechanistic animal experiments
Study Design
OTHER