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Non-invasive distinction of non-alcoholic fatty liver disease using urinary volatile organic compound analysis: early results. | LitMetric

AI Article Synopsis

  • Non-Alcoholic Fatty Liver Disease (NAFLD) is a leading cause of chronic liver disease in the West, and current diagnostic tools like Fibroscan have limitations, highlighting the need for better non-invasive methods.
  • A pilot study with 34 patients examined whether changes in urinary volatile organic compounds (VOCs), linked to the gut microbiome, could effectively differentiate between NAFLD and Non-Alcoholic Steatohepatitis (NASH).
  • Results showed that while sensitivity was moderate, specificity was high, indicating that VOC analysis could potentially serve as a promising non-invasive approach to early liver disease detection and differentiation between NAFLD and NASH.

Article Abstract

Background & Aims: Non-Alcoholic Fatty Liver Disease (NAFLD) is the commonest cause of chronic liver disease in the western world. Current diagnostic methods including Fibroscan have limitations, thus there is a need for more robust non-invasive screening methods. The gut microbiome is altered in several gastrointestinal and hepatic disorders resulting in altered, unique gut fermentation patterns, detectable by analysis of volatile organic compounds (VOCs) in urine, breath and faeces. We performed a proof of principle pilot study to determine if progressive fatty liver disease produced an altered urinary VOC pattern; specifically NAFLD and Non-Alcoholic Steatohepatitis (NASH).

Methods: 34 patients were recruited: 8 NASH cirrhotics (NASH-C); 7 non-cirrhotic NASH; 4 NAFLD and 15 controls. Urine was collected and stored frozen. For assay, the samples were defrosted and aliquoted into vials, which were heated to 40±0.1°C and the headspace analyzed by FAIMS (Field Asymmetric Ion Mobility Spectroscopy). A previously used data processing pipeline employing a Random Forrest classification algorithm and using a 10 fold cross validation method was applied.

Results: Urinary VOC results demonstrated sensitivity of 0.58 (0.33 - 0.88), but specificity of 0.93 (0.68 - 1.00) and an Area Under Curve (AUC) 0.73 (0.55 - 0.90) to distinguish between liver disease and controls. However, NASH/NASH-C was separated from the NAFLD/controls with a sensitivity of 0.73 (0.45 - 0.92), specificity of 0.79 (0.54 - 0.94) and AUC of 0.79 (0.64 - 0.95), respectively.

Conclusions: This pilot study suggests that urinary VOCs detection may offer the potential for early non-invasive characterisation of liver disease using 'smell prints' to distinguish between NASH and NAFLD.

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Source
http://dx.doi.org/10.15403/jgld.2014.1121.242.uryDOI Listing

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