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Bansal, A.

Publications and source records attributed to Bansal, A..

2 recordsLinked to original sources

Ectopic hepatocyte transplantation cures the pig model of tyrosinemia

The effectiveness of cell-based therapies to treat liver failure is limited by the diseased liver environment. Herein we provide preclinical proof-of-concept for the treatment of liver failure through hepatocyte transplantation into lymph nodes in a large-animal model of hereditary tyrosinemia type 1 (HT1), a metabolic liver disease caused by deficiency of fumarylacetoacetate hydrolase (FAH) enzyme. FAH-deficient pigs received autologous hepatocyte transplantation into mesenteric lymph nodes after ex vivo transduction with a lentiviral vector carrying the pig Fah gene. Hepatocytes showed early (6 hour) and durable (8 month) engraftment in lymph nodes, with reproduction of vascular and hepatic microarchitecture. Subsequently, hepatocytes migrated to and repopulated the native diseased liver. The corrected cells generated enough liver mass to clinically ameliorate disease as early as 97 days post-transplantation, with complete normalization of tyrosine levels and liver function tests. Integration site analysis defined the corrected hepatocytes in the liver as a subpopulation of hepatocytes in the lymph nodes, indicating that the lymph nodes served as a source for healthy hepatocytes to repopulate a diseased liver. Ectopic transplantation of hepatocytes cures the pig model of HT1 and presents a promising approach to the treatment of liver disease in patients with pre-existing liver damage and fibrosis.\n\nOne Sentence SummaryTransplantation of corrected hepatocytes in mesenteric lymph nodes can cure fatal metabolic liver disease by providing organized liver tissue and by repopulating the diseased liver in the pig tyrosinemia model.

molecular biology

A Topological Data Analysis Network Model of Asthma Based on Blood Gene Expression Profiles

Stratified medicine requires discretisation of disease populations for targeted treatments. We have developed and applied a discrete Morse theory clustering algorithm to a Topological Data Analysis (TDA) network model of 498 gene expression profiles of peripheral blood from asthma and healthy participants. The Morse clustering algorithm defined nine clusters, BC1-9, representing molecular phenotypes with discrete phenotypes including Type-1, 2 & 17 cytokine inflammatory pathways. The TDA network model and clusters were also characterised by activity of glucocorticoid receptor signalling associated with different expression profiles of glucocorticoid receptor (GR), according to microarray probesets targeted to the start or end of the GR mRNAs 3 UTR; suggesting differential GR mRNA processing as a possible driver of asthma phenotypes including steroid insensitivity.

molecular biology