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Maintenance of bile acid (BA) homeostasis is essential to achieve their physiologic functions and avoid their toxic effects. The marked differences in BA composition between preclinical safety models and humans may play a major role in the poor prediction of drug-induced liver injury using preclinical models. We compared the composition of plasma and urinary BAs and their metabolites between humans and several animal species. Total BA pools and their composition varied widely among different species. Highest sulfation of BAs was observed in human and chimpanzee. Glycine amidation was predominant in human, minipig, hamster and rabbit, while taurine amidation was predominant in mice, rat and dogs. BA profiles consisted primarily of tri-OH BAs in hamster, rat, dog and mice, di-OH BAs in human, rabbit and minipig, and mono-OH BA in chimpanzee. BA profiles comprised primarily hydrophilic and less toxic BAs in mice, rat, pig and hamster, while it primarily comprised hydrophobic and more toxic BAs in human, rabbit and chimpanzee. Therefore, the hydrophobicity index was lowest in minipig and mice, while it was highest in rabbit, monkey and human. Glucuronidation and glutathione conjugation were low in all species across all BAs. Total concentration of BAs in urine was up to 10× higher and more hydrophilic than plasma in most species. This was due to the presence of more tri-OH, amidated, sulfated and primary BAs, in urine compared to plasma. In general, BA profiles of chimpanzee and monkeys were most similar to human, while minipig, rat and mice were most dissimilar to human.

One of the mechanisms of drug-induced liver injury (DILI) involves alterations in bile acid (BA) homeostasis and elimination, which encompass several metabolic pathways including hydroxylation, amidation, sulfation, glucuronidation and glutathione conjugation. Species differences in BA metabolism may play a major role in the failure of currently used in vitro and in vivo models to predict reliably the DILI during the early stages of drug discovery and development. We developed an in vitro cofactor-fortified liver S9 fraction model to compare the metabolic profiles of the four major BAs (cholic acid, chenodeoxycholic acid, lithocholic acid and ursodeoxycholic acid) between humans and several animal species. High- and low-resolution liquid chromatography-tandem mass spectrometry and nuclear magnetic resonance imaging were used for the qualitative and quantitative analysis of BAs and their metabolites. Major species differences were found in the metabolism of BAs. Sulfation into 3-O-sulfates was a major pathway in human and chimpanzee (4.8%-52%) and it was a minor pathway in all other species (0.02%-14%). Amidation was primarily with glycine (62%-95%) in minipig and rabbit and it was primarily with taurine (43%-81%) in human, chimpanzee, dog, hamster, rat and mice. Hydroxylation was highest (13%-80%) in rat and mice followed by hamster, while it was lowest (1.6%-22%) in human, chimpanzee and minipig. C6-β hydroxylation was predominant (65%-95%) in rat and mice, while it was at C6-α position in minipig (36%-97%). Glucuronidation was highest in dog (10%-56%), while it was a minor pathway in all other species (<12%). The relative contribution of the various pathways involved in BA metabolism in vitro were in agreement with the observed plasma and urinary BA profiles in vivo and were able to predict and quantify the species differences in BA metabolism. In general, overall, BA metabolism in chimpanzee is most similar to human, while BA metabolism in rats and mice is most dissimilar from human.

SG induced an early and persistent post-prandial surge in multiple bile acid subtypes. Increased G-hyocholic consistently correlated with greater early BMI loss. This study provides evidence for a role of BAs in the surgical weight loss response after SG.

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BACKGROUND Hepatobiliary diseases result in the accumulation of toxic bile acids (BA) in the liver, blood, and other tissues which may contribute to an unfavorable prognosis. AIM To discover and validate diagnostic biomarkers of cholestatic liver diseases based on the urinary BA profile. METHODS We analyzed urine samples by liquid chromatography-tandem mass spectrometry and compared the urinary BA profile between 300 patients with hepatobiliary diseases vs 103 healthy controls by statistical analysis. The BA profile was characterized using BA indices, which quantifies the composition, metabolism, hydrophilicity, and toxicity of the BA profile. BA indices have much lower inter- and intra-individual variability compared to absolute concentrations of BA. In addition, BA indices demonstrate high area under the receiver operating characteristic curves, and changes of BA indices are associated with the risk of having a liver disease, which demonstrates their use as diagnostic biomarkers for cholestatic liver diseases. RESULTS Total and individual BA concentrations were higher in all patients. The percentage of secondary BA (lithocholic acid and deoxycholic acid) was significantly lower, while the percentage of primary BA (chenodeoxycholic acid, cholic acid, and hyocholic acid) was markedly higher in patients compared to controls. In addition, the percentage of taurine-amidation was higher in patients than controls. The increase in the non-12α-OH BA was more profound than 12α-OH BA (cholic acid and deoxycholic acid) causing a decrease in the 12α-OH/ non-12α-OH ratio in patients. This trend was stronger in patients with more advanced liver diseases as reflected by the model for end-stage liver disease score and the presence of hepatic decompensation. The percentage of sulfation was also higher in patients with more severe forms of liver diseases. CONCLUSION BA indices have much lower inter- and intra-individual variability compared to absolute BA concentrations and changes of BA indices are associated with the risk of developing liver diseases.

BACKGROUND Cholestatic liver diseases are characterized by an accumulation of toxic bile acids (BA) in the liver, blood and other tissues which lead to progressive liver injury and poor prognosis in patients. AIM To discover and validate prognostic biomarkers of cholestatic liver diseases based on the urinary BA profile. METHODS We analyzed urine samples by liquid chromatography-tandem mass spectrometry and investigated the use of the urinary BA profile to develop survival models that can predict the prognosis of hepatobiliary diseases. The urinary BA profile, a set of non-BA parameters, and the adverse events of liver transplant and/or death were monitored in 257 patients with cholestatic liver diseases for up to 7 years. The BA profile was characterized by calculating BA indices, which quantify the composition, metabolism, hydrophilicity, formation of secondary BA, and toxicity of the BA profile. We have developed and validated the bile-acid score (BAS) model (a survival model based on BA indices) to predict the prognosis of cholestatic liver diseases. RESULTS We have developed and validated a survival model based on BA (the BAS model) indices to predict the prognosis of cholestatic liver diseases. Our results demonstrate that the BAS model is more accurate and results in higher true-positive and true-negative prediction of death compared to both non-BAS and model for end-stage liver disease (MELD) models. Both 5- and 3-year survival probabilities markedly decreased as a function of BAS. Moreover, patients with high BAS had a 4-fold higher rate of death and lived for an average of 11 mo shorter than subjects with low BAS. The increased risk of death with high vs low BAS was also 2-4-fold higher and the shortening of lifespan was 6-7-mo lower compared to MELD or non-BAS. Similarly, we have shown the use of BAS to predict the survival of patients with and without liver transplant (LT). Therefore, BAS could be used to define the most seriously ill patients, who need earlier intervention such as LT. This will help provide guidance for timely care for liver patients. CONCLUSION The BAS model is more accurate than MELD and non-BAS models in predicting the prognosis of cholestatic liver diseases.

Background: Colorectal cancer (CRC) has grown to be the world's fourth-biggest cause of cancer-related mortality. It is critical to identify more effective treatment options for it. Objectives: Doxorubicin a potent antineoplastic agent is widely used but has severe adverse effects. Therefore, our objective is to use cubosome as an efficient drug delivery system to reduce the off-target effects and increase the cytotoxic effects in CRC cells. Materials and Methods: Pluronic F127-Based Cubosomes were prepared by low energy stirring method and loaded with doxorubicin. Physicochemical characteristics were studied using X-ray diffraction, dynamic light scattering, microscopic techniques, FTIR UV spectrophotometer, and entrapment efficiency. In vitro activity of doxorubicin-loaded cubosomes was studied on HCT-116 cells. Results: The prepared cubosomes have the required nano-size and the FTIR results showed the presence of both doxorubicin and Pluronic F-127. The entrapment efficiency of doxorubicin was high too. DOX-CBs have a better cytotoxic effect and induced ROS and reduced NO levels in HCT-116 cells. Conclusion:The obtained results show that doxorubicin-loaded cubosomes can be used to increase the cytotoxic effect in CRC cells and can be used with other chemotherapeutic agents.