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screening biomarkers for bile acid malabsorption in microscopic colitis and inflammatory bowel disease.

Serum 7-alfa-hydroxy-4-cholesten-3-one above 48.9 ng/ml and fibroblast growth factor-19 below 60 pg/ml identify patients with diarrhea likely attributable to bile acid malabsorption with high diagnostic accuracy and they can be used as screening biomarkers for bile acid malabsorption in microscopic colitis and inflammatory bowel disease.Over the last decade, major advancements have been made in our understanding of both the beneficial and detrimental role that microorganisms play in our innate functioning. Research into the intestinal microbiota has moved from the laboratory into our medical clinics and is being put forth as an effective therapy for a range of medical conditions, not only limited to the gastrointestinal system. The clearest example of this progression has been in the treatment of Clostridium difficile infection; however, faecal microbiota transplantation has also been shown to have a positive effect in the treatment of inflammatory disorders, such as ulcerative colitis. In this review article, we will appraise the existing literature examining the role the intestinal microbiota plays in the pathogenesis of disease and the therapeutic utility of faecal microbiota transplantation in restoring homeostasis. In many cases, these studies are in a preclinical setting, are small in scale and often are not placebo-controlled; however, the results from these studies report interesting associations between intestinal dysbiosis and disease development, as well as the beneficial effects of faecal microbiota transplantation in reversing this process.

The aim of this study was to identify predictors of non-high-risk gastroesophageal varices and evaluate the probability of the residual high-risk varices in cirrhosis patients after the primary endoscopic treatment.

Medical records of the patients with cirrhosis admitted for primary endoscopic prophylaxis gastroesophageal varices hemorrhage were retrospectively analyzed. Sardomozide manufacturer The patients were divided into high-risk varices and non-high-risk varices groups according to the endoscopy. A nomogram was developed based on the results of multivariate Cox analyses. Accuracy of this model was validated by the concordance index (Harrell's c-index) and calibration curve.

Altogether 117 patients were enrolled between March 2014 and April 2018. The multivariate Cox analyses identified spleen length <140 mm [odds ratio (OR) = 2.715; P = 0.037), small or medium size of esophageal varices (OR = 4.412; P = 0.017), unaccompanied with gastric varices (OR = 7.025; P = 0.003) and frequency of endoscopic variceal ligation ≥one time per 4 months (OR = 3.834; P = 0.034) as independent factors of non-high-risk varices. All significant predictors were incorporated into a nomogram to predict the residual high-risk varices, which showed a notable accuracy with the concordance index (0.833).

The nomogram-based prediction of residual high-risk varices can be used for risk stratification in cirrhosis patients with gastroesophageal varices.

The nomogram-based prediction of residual high-risk varices can be used for risk stratification in cirrhosis patients with gastroesophageal varices.

The aim of this study was to validate and compare the prognostic performance of the albumin-bilirubin (ALBI) grade, platelet-albumin-bilirubin (PALBI) grade, Child-Pugh (CP) grade, and Model for End-Stage Liver Disease (MELD) score in predicting the 1-year variceal rebleeding probability using artificial intelligence for patients with cirrhosis and variceal bleeding undergoing early transjugular intrahepatic portosystemic shunt (TIPS) procedures.

This dual-center retrospective study included two cohorts, with patients enrolled between January 2016 and September 2018 in the training cohort and January 2017 and September 2018 in the validation cohort. In the training cohort, independent risk factors associated with the 1-year variceal rebleeding probability were identified using univariate and multivariate logistic analyses. ALBI-, PALBI-, Child-Pugh-, and MELD-based nomograms and an artificial neural network (ANN) model were established and validated internally in the training cohort and externally in the ty for patients with cirrhosis and variceal bleeding undergoing early TIPS.

The molecular characterization of central nervous system (CNS) malignancies is crucial for obtaining the correct diagnosis and prognosis, and to guide the optimal therapeutic approach. However, obtaining surgical specimens can be challenging because of the anatomical location of the tumour and may limit the correct characterization of these malignancies. Recently, it has been shown that the cerebrospinal fluid (CSF) circulating tumour DNA (ctDNA) can be used as a liquid biopsy to characterize and monitor CNS malignancies and here we review its implications and advances.

In the last 5 years, several groups including ours have shown that ctDNA is highly present in the CSF, in larger amounts than in plasma, and that ctDNA can be sequenced to provide information about the diagnosis and prognosis of brain malignancies. Furthermore, the analysis of CSF ctDNA has allowed the selection of optimal therapeutic approaches monitoring response to treatment and tracking tumour evolution, providing crucial information about the molecular changes during tumour progression.

Here, we review the recent discoveries and data relative to CSF ctDNA and discuss how CSF ctDNA can be used as a liquid biopsy to facilitate and complement the clinical management of patients with CNS malignancies.

Here, we review the recent discoveries and data relative to CSF ctDNA and discuss how CSF ctDNA can be used as a liquid biopsy to facilitate and complement the clinical management of patients with CNS malignancies.

The World Health Organization (WHO) classification of central nervous system (CNS) tumors was revised in 2016 to include molecular biomarkers that are important for tumor classification and clinical decision making. Thereafter, the cIMPACT-NOW initiative further refined CNS tumor classification through a series of recommendations likely to shape the upcoming WHO classification 2021.

Mutations in the isocitrate dehydrogenase (IDH) 1 or 2 genes continue to play a major role in glioma classification. Among IDH-mutant gliomas, loss of ATRX expression identifies IDH-mutant astrocytomas without necessity for 1p/19q codeletion testing. The nomenclature for IDH-mutant glioblastoma has been changed to astrocytoma, IDH-mutant, WHO grade 4, with CDKN2A homozygous deletion representing a novel molecular marker for these tumors. IDH-wildtype astrocytomas that lack microvascular proliferation or necrosis but exhibit telomerase reverse transcriptase promoter mutation, epidermal growth factor receptor amplification, and/or a +7/-10 genotype are now classified as IDH-wildtype glioblastoma.

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