Urinary BA Indices as Prognostic Biomarkers for Complications Associated with Liver Diseases

Urinary BA Indices as Prognostic Biomarkers for Complications Associated with Liver Diseases

Hepatobiliary diseases and their complications cause the accumulation of toxic bile acids (BA) in the liver, blood, and other tissues, which may exacerbate the underlying condition and lead to unfavorable prognosis. To develop and validate prognostic biomarkers for the prediction of complications of...

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Bibliographic Details
Published in:International journal of hepatology (New York) Vol. 2022; pp. 5473752 - 17
Main Authors: Li, Wenkuan, Alamoudi, Jawaher Abdullah, Gautam, Nagsen, Kumar, Devendra, Olivera, Macro, Gwon, Yeongjin, Mukgerjee, Sandeep, Alnouti, Yazen
Format: Journal Article
Language:English
Published: United States Hindawi 30-03-2022
John Wiley & Sons, Inc
Hindawi Limited
Subjects:
Analysis
Ascites
Bile ducts
Biological markers
Biomarkers
Cholangitis
Chromatography
Creatinine
Deoxycholic acid
Edema
Health aspects
Hepatitis
Hepatology
Hypertension
Liquid chromatography
Liver diseases
Mass spectrometry
Medical prognosis
Medical research
Medicine, Experimental
Peritonitis
Physiological aspects
Physiology
Prognosis
Scientific imaging
Transplants & implants
Urine
Taiwan
United States > US
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Summary:Hepatobiliary diseases and their complications cause the accumulation of toxic bile acids (BA) in the liver, blood, and other tissues, which may exacerbate the underlying condition and lead to unfavorable prognosis. To develop and validate prognostic biomarkers for the prediction of complications of cholestatic liver disease based on urinary BA indices, liquid chromatography-tandem mass spectrometry was used to analyze urine samples from 257 patients with cholestatic liver diseases during a 7-year follow-up period. The urinary BA profile and non-BA parameters were monitored, and logistic regression models were used to predict the prognosis of hepatobiliary disease-related complications. Urinary BA indices were applied to quantify the composition, metabolism, hydrophilicity, and toxicity of the BA profile. We have developed and validated the bile-acid liver disease complication (BALDC) model based on BA indices using logistic regression model, to predict the prognosis of cholestatic liver disease complications including ascites. The mixed BA and non-BA model was the most accurate and provided higher area under the receiver operating characteristic (ROC) and smaller akaike information criterion (AIC) values compared to both non-BA and MELD (models for end stage liver disease) models. Therefore, the mixed BA and non-BA model could be used to predict the development of ascites in patients diagnosed with liver disease at early stages of intervention. This will help physicians to make a better decision when treating hepatobiliary disease-related ascites.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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Academic Editor: Amal Santra
ISSN:2090-3448
2090-3456
DOI:10.1155/2022/5473752