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Metabolic profiling of bile in cholangiocarcinoma using in vitro magnetic resonance spectroscopy. | LitMetric

AI Article Synopsis

  • The study aimed to investigate the chemical composition of bile in cholangiocarcinoma (CCA) patients to better understand its development and identify potential biomarkers.
  • Magnetic resonance spectroscopy (MRS) was utilized to analyze bile from CCA patients and compared with bile from patients with benign biliary diseases, revealing significant differences in bile acid and phosphatidylcholine levels.
  • Results indicated that specific metabolites, particularly glycine-conjugated bile acids and biliary phosphatidylcholine, could play a significant role in CCA and may serve as future diagnostic markers.

Article Abstract

Objectives: Cholangiocarcinoma (CCA) has a poor prognosis and its aetiology is inadequately understood. Magnetic resonance spectroscopy (MRS) of bile may provide insights into the pathogenesis of CCA and help identify novel diagnostic biomarkers. The aim of this study was to compare the chemical composition of bile from patients with CCA with that of bile from patients with benign biliary disease.

Methods: Magnetic resonance spectra were acquired from the bile of five CCA patients and compared with MRS of control bile from patients with benign biliary disease (seven with gallstones, eight with sphincter of Oddi dysfunction [SOD], five with primary sclerosing cholangitis [PSC]). Metabolic profiles were compared using both univariate and multivariate pattern-recognition analysis.

Results: Univariate analysis showed that levels of glycine-conjugated bile acids were significantly increased in patients with CCA, compared with the benign disease groups (P= 0.002). 7 beta primary bile acids were significantly increased (P= 0.030) and biliary phosphatidylcholine (PtC) levels were reduced (P= 0.010) in bile from patients with CCA compared with bile from gallstone patients. These compounds were also of primary importance in the multivariate analysis: the cohorts were differentiated by partial least squares discriminant analysis (PLS-DA).

Conclusions: These preliminary data suggest that altered bile acid and PtC metabolism play an important role in CCA aetiopathogenesis and that specific metabolites may have potential as future biomarkers.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3028580PMC
http://dx.doi.org/10.1111/j.1477-2574.2010.00185.xDOI Listing

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