Abstract #0904

Specificity and sensitivity of early predictive urinary metabolic biomarker of radiation injury: a 1H NMR based metabolomic study

Poonam Rana¹, Ritu Tyagi¹, Apurva Watve¹, Sujeet Kumar Mewar², Uma Sharma², N. R. Jagannathan², and Subash Khushu¹

¹NMR Research Centre, Institute of Nuclear Medicine and Allied Sciences (INMAS), DRDO, Delhi, India, ²Department of NMR, All India Institute of Medical Sciences (AIIMS), Delhi, India

Increasing radiation exposure is a big threat to population worldwide. The present study predicts the early predictive biomarker for radiation injury using ¹H NMR based metabolomics. The animals were exposed to 7.5 Gy whole body radiation. The variable importance of projection (VIP) score showed six most significant metabolites having VIP score of >1. The partial least square discriminant analysis (PLS-DA) based receiver-operating characteristic (ROC) curve of all the six metabolites showed taurine with highest area under curve (AUC) value of 0.996 and with sensitivity (100%) and specificity (90%). It could be used as early prognostic biomarker for radiation injury.

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