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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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