ORCID Profile
0000-0003-4541-5886
Current Organisations
John Jay College of Criminal Justice
,
Doctors Without Borders
,
Liverpool John Moores University
,
Royal College of Physicians
,
Manchester University NHS Foundation Trust
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Publisher: Elsevier BV
Date: 09-2018
Publisher: Springer Science and Business Media LLC
Date: 22-07-2020
DOI: 10.1038/S41586-020-2486-3
Abstract: Bats possess extraordinary adaptations, including flight, echolocation, extreme longevity and unique immunity. High-quality genomes are crucial for understanding the molecular basis and evolution of these traits. Here we incorporated long-read sequencing and state-of-the-art scaffolding protocols 1 to generate, to our knowledge, the first reference-quality genomes of six bat species ( Rhinolophus ferrumequinum , Rousettus aegyptiacus , Phyllostomus discolor , Myotis myotis , Pipistrellus kuhlii and Molossus molossus ). We integrated gene projections from our ‘Tool to infer Orthologs from Genome Alignments’ (TOGA) software with de novo and homology gene predictions as well as short- and long-read transcriptomics to generate highly complete gene annotations. To resolve the phylogenetic position of bats within Laurasiatheria, we applied several phylogenetic methods to comprehensive sets of orthologous protein-coding and noncoding regions of the genome, and identified a basal origin for bats within Scrotifera. Our genome-wide screens revealed positive selection on hearing-related genes in the ancestral branch of bats, which is indicative of laryngeal echolocation being an ancestral trait in this clade. We found selection and loss of immunity-related genes (including pro-inflammatory NF-κB regulators) and expansions of anti-viral APOBEC3 genes, which highlights molecular mechanisms that may contribute to the exceptional immunity of bats. Genomic integrations of erse viruses provide a genomic record of historical tolerance to viral infection in bats. Finally, we found and experimentally validated bat-specific variation in microRNAs, which may regulate bat-specific gene-expression programs. Our reference-quality bat genomes provide the resources required to uncover and validate the genomic basis of adaptations of bats, and stimulate new avenues of research that are directly relevant to human health and disease 1 .
Publisher: Ovid Technologies (Wolters Kluwer Health)
Date: 20-10-2015
DOI: 10.1002/HEP.28017
Abstract: The biochemical response to ursodeoxycholic acid (UDCA)—so‐called “treatment response”—strongly predicts long‐term outcome in primary biliary cholangitis (PBC). Several long‐term prognostic models based solely on the treatment response have been developed that are widely used to risk stratify PBC patients and guide their management. However, they do not take other prognostic variables into account, such as the stage of the liver disease. We sought to improve existing long‐term prognostic models of PBC using data from the UK‐PBC Research Cohort. We performed Cox's proportional hazards regression analysis of erse explanatory variables in a derivation cohort of 1,916 UDCA‐treated participants. We used nonautomatic backward selection to derive the best‐fitting Cox model, from which we derived a multivariable fractional polynomial model. We combined linear predictors and baseline survivor functions in equations to score the risk of a liver transplant or liver‐related death occurring within 5, 10, or 15 years. We validated these risk scores in an independent cohort of 1,249 UDCA‐treated participants. The best‐fitting model consisted of the baseline albumin and platelet count, as well as the bilirubin, transaminases, and alkaline phosphatase, after 12 months of UDCA. In the validation cohort, the 5‐, 10‐, and 15‐year risk scores were highly accurate (areas under the curve: .90). Conclusions : The prognosis of PBC patients can be accurately evaluated using the UK‐PBC risk scores. They may be used to identify high‐risk patients for closer monitoring and second‐line therapies, as well as low‐risk patients who could potentially be followed up in primary care. (H epatology 2016 :930–950)
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Location: United States of America
Location: United States of America
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Imran Patanwala.