Prediction of a small-for-gestational age (sga) infant
AssigneeUniversity College Cork, National University of Ireland, Cork
InventorsLouise Kenny, Philip Baker
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Abstract
A method of predicting a SGA infant in a patient at a pre-symptomatic gestational stage is described. The method comprises a step of assaying a biological sample from the patient for an abundance of a plurality of metabolite biomarkers selected from the 19 metabolite biomarkers of Table IV, correlating the abundance of the plurality of metabolite biomarkers with a metabolite fingerprint of SGA shown in Table IV, and predicting SGA based on the level of correlation between the abundance of the plurality of metabolite biomarkers and the metabolite fingerprint of Table IV.
Claims14
A method of predicting a SGA (small-for-gestational age) infant in a patient at a pre-symptomatic gestational stage comprising a step of assaying a biological sample from the patient for abundance of a plurality of metabolite biomarkers selected from the 19 metabolite biomarkers of Table IV, correlating the abundance of the plurality of metabolite biomarkers with a metabolite fingerprint of SGA shown in Table IV, and predicting SGA based on the level of correlation between the abundance of the plurality of metabolite biomarkers and the metabolite fingerprint of Table IV.
A system for performing a method of predicting a SGA infant in a patient, the system comprising:
- a determination system for detecting in a biological sample from the patient abundance of a plurality of metabolite biomarkers selected from Table IV;
- optionally, a storage system for storing metabolite biomarker abundance data generated by the determination system;
- a comparison system for comparing abundance data from the determination system with a metabolite finderprint of Table IV to provide a quantitative prediction of SGA;
- and
- a display module for displaying the quantitative prediction of SGA.
Dependencies are inferred from the claim text.