Altered Metabolic Profile of Blood Plasma in Patients with Celiac disease: In-Vitro Proton Magnetic Resonance Spectroscopy Study

Deepti Upadhyay¹, Govind K Makharia², Naranamangalam R. Jagannathan¹ and Uma Sharma^1,

¹Departments of NMR & MRI Facility, All India Institute of Medical Sciences, New Delhi, India

²Gastroenterology & Human Nutrition, All India Institute of Medical Sciences, New Delhi, India

Cite this paper:
Deepti Upadhyay, Govind K Makharia, Naranamangalam R. Jagannathan and Uma Sharma. Altered Metabolic Profile of Blood Plasma in Patients with Celiac disease: In-Vitro Proton Magnetic Resonance Spectroscopy Study. International Journal of Celiac Disease. 2015; 3(3):98-101. doi: 10.12691/ijcd-3-3-8

Abstract

Present study investigated the metabolic profile of blood plasma of patients with Celiac disease (CeD) and healthy controls (HC) using in-vitro nuclear magnetic resonance (NMR) spectroscopy to get an insight into the metabolic abnormalities in CeD and to determine the biomarker/s, if any, for the diagnosis of CeD. The concentration of metabolites was determined using one-dimensional NMR at 700 MHz. The blood plasma from patients with CeD showed significantly higher (p<0.05) concentrations of several metabolites such as alanine (Ala), glycine (Gly), acetate (Ace) and creatine (Cr) compared to the HC subjects. While, concentration of creatinine (Crn) was significantly lower (p<0.05) in blood plasma of CeD patients. These findings suggested that the gluten induced inflammation resulted in significant alterations in metabolic activity in CeD. Partial least square discriminant analysis (PLS-DA) clearly distinguished the two groups in separate clusters on the score plot of samples from CeD patients and HC. Our results provided an insight into the alterations in metabolic pathways in CeD and indicated that the NMR spectroscopy of blood plasma in a large cohort of CeD patients may aid in determining the non-invasive biomarker/s for the diagnosis of CeD.

Keywords:
Celiac disease MR spectroscopy metabolic profile metabonomics blood plasma

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