Area of research
Hepatology · Pulmonary and Respiratory Medicine
Research interest
Research focused on Primary sclerosing cholangitis and Gastroenterology, with related work in Biomarker, Tight junction, Cell biology. Notable publications include 'Cutting Edge: Identification and Characterization of Human Intrahepatic CD49a+ NK Cells', 'Implementation of proteomic biomarkers: making it work', and 'Urine proteomic analysis differentiates cholangiocarcinoma from primary sclerosing cholangitis and other benign biliary disorders'.
A combined bile and urine proteomic test for cholangiocarcinoma diagnosis in patients with biliary strictures of unknown origin
NOD2 gene variants confer risk for secondary sclerosing cholangitis in critically ill patients
Cutting Edge: Identification and Characterization of Human Intrahepatic CD49a+ NK Cells
MicroRNAs in Serum and Bile of Patients with Primary Sclerosing Cholangitis and/or Cholangiocarcinoma
Microbiological analysis of bile and its impact in critically ill patients with secondary sclerosing cholangitis
Complication and mortality rate after percutaneous endoscopic gastrostomy are low and indication-dependent*
MicroRNAs in the bile of patients with biliary strictures after liver transplantation
Changes in liver stiffness using acoustic radiation force impulse imaging in patients with obstructive cholestasis and cholangitis
Differential Serum Levels of Eosinophilic Eotaxins in Primary Sclerosing Cholangitis, Primary Biliary Cirrhosis, and Autoimmune Hepatitis
Increased T-Helper 2 Cytokines in Bile From Patients With IgG4-Related Cholangitis Disrupt the Tight Junction–Associated Biliary Epithelial Cell Barrier
Microbiologic analysis of peri-pancreatic fluid collected during EUS in patients with pancreatitis: impact on antibiotic therapy
Implementation of proteomic biomarkers: making it work
Urine proteomic analysis differentiates cholangiocarcinoma from primary sclerosing cholangitis and other benign biliary disorders
Secondary sclerosing cholangitis in critically ill patients: Model of End-Stage Liver Disease score and renal function predict outcome