Early detection of plasma D-lactate: Toward a new highly-specific biomarker of bacteraemia?

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Lefèvre, Charles R. | Turban, Adrien | Luque-Paz, David | Penven, Malo | René, Céline | Langlois, Bénédicte | Pawlowski, Maxime | Collet, Nicolas | Piau-Couapel, Caroline | Cattoir, Vincent | Bendavid, Claude

Edité par CCSD ; Elsevier -

International audience. Background: Bloodstream infections are a leading cause of mortality. Their detection relies on blood cultures (BCs) but time to positivity is often between tens of hours and days. D-lactate is a metabolite widely produced by bacteria but very few in human. We aimed to evaluate D-lactate, D-lactate/L-lactate ratio and D-lactate/total lactate ratio in plasma as potential early biomarkers of bacteraemia on a strictly biological standpoint. Methods: A total of 228 plasma specimens were collected from patients who had confirmed bacteraemia (n = 131) and healthy outpatients (n = 97). Specific L-lactate and D-lactate analyses were performed using enzymatic assays and analytical performances of D-lactate, D-lactate/total lactate and D-lactate/L-lactate ratios for the diagnosis of bacteraemia were assessed. Results: A preliminary in vitro study confirmed that all strains of Escherichia coli, Klebsiella pneumoniae and Staphylococcus aureus were able to produce D-lactate at significant levels. In patients, plasma D-lactate level was the most specific biomarker predicting a bacteraemia profile with a specificity and predictive positive value of 100% using a cut-off of 131 μmol.L−1. However, sensitivity and negative predictive value were rather low, estimated at 31% and 52%, respectively. D-lactate displayed an Area Under Receiver Operating Characteristic (AUROC) curve of 0.696 with a P value < 0.0001. There was no difference of D-lactate levels between BCs bottles positive for Gram-positive or Gram-negative bacteria (p = 0.55). Conclusion: D-lactate shows promise as a specific early biomarker of bacterial metabolism. The development of rapid automated assays could raise clinical applications for infectious diseases diagnosis including early bacteraemia prediction. © 2023 The Authors

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