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Browsing by Author "Kohli, Rohit"
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Item Impact of long-term administration of maralixibat on children with cholestasis secondary to Alagille syndrome(Wolters Kluwer, 2022) Shneider, Benjamin L.; Spino, Catherine A.; Kamath, Binita M.; Magee, John C.; Ignacio, Rosalinda V.; Huang, Suiyuan; Horslen, Simon P.; Molleston, Jean P.; Miethke, Alexander G.; Kohli, Rohit; Leung, Daniel H.; Jensen, M. Kyle; Loomes, Kathleen M.; Karpen, Saul J.; Mack, Cara; Rosenthal, Philip; Squires, Robert H.; Baker, Alastair; Rajwal, Sanjay; Kelly, Deirdre; Sokol, Ronald J.; Thompson, Richard J.; Pediatrics, School of MedicineThere is growing interest in, but limited data about, intestinal bile acid transport inhibitors as treatment for cholestatic liver disease. The current analyses combine two similar randomized placebo-controlled trials with subsequent extension phases investigating the impact of maralixibat in children with severe cholestasis secondary to Alagille Syndrome (n = 57). The primary outcomes were measures of pruritus (ItchRO[Obs]) and clinician scratch scale (CSS), both increasing in severity from 0 to 4) and quality of life (QoL) (Parent PedsQL and Multidimensional Fatigue Scale module [MFS] scaled 0-100 with increased QoL) at week 48 of the extension phase relative to the baseline of the placebo-controlled trials (week 13). Secondary assessments included other clinical and biochemical parameters assessed in participants at week 72 or end of treatment (after week 48). At week 48, statistically and clinically significant least square mean (95% CI) improvements in pruritus and QoL were observed (ItchRO[Obs] -1.59 [-1.81, -1.36], CSS -1.36 [-1.67, -1.05], PedsQL +10.17 [4.48, 15.86], and multidimension fatigue [MFS] +13.97 [7.85, 20.08]). At week 48, serum bile acids, platelet count, and cholesterol decreased, whereas alanine aminotransferase (ALT) increased and total bilirubin (TB) and albumin were stable. Changes were durable at week 72 and end of treatment. There were no deaths; 2 participants underwent liver transplantation. Study drug was discontinued in 9 participants after treatment-emergent adverse events, 6 of which were events of increased ALT or TB. Conclusion: Maralixibat administration was associated with marked improvement in pruritus and QoL. Interpretation of these findings is complicated by the complex natural history of severe cholestasis in Alagille syndrome.Item Technical optimization of spatially resolved single-cell transcriptomic datasets to study clinical liver disease(Springer Nature, 2024-02-13) Rocque, Brittany; Guion, Kate; Singh, Pranay; Bangerth, Sarah; Pickard, Lauren; Bhattacharjee, Jashdeep; Eguizabal, Sofia; Weaver, Carly; Chopra, Shefali; Zhou, Shengmei; Kohli, Rohit; Sher, Linda; Akbari, Omid; Ekser, Burcin; Emamaullee, Juliet A.; Surgery, School of MedicineSingle cell and spatially resolved ‘omic’ techniques have enabled deep characterization of clinical pathologies that remain poorly understood, providing unprecedented insights into molecular mechanisms of disease. However, transcriptomic platforms are costly, limiting sample size, which increases the possibility of pre-analytical variables such as tissue processing and storage procedures impacting RNA quality and downstream analyses. Furthermore, spatial transcriptomics have not yet reached single cell resolution, leading to the development of multiple deconvolution methods to predict individual cell types within each transcriptome ‘spot’ on tissue sections. In this study, we performed spatial transcriptomics and single nucleus RNA sequencing (snRNAseq) on matched specimens from patients with either histologically normal or advanced fibrosis to establish important aspects of tissue handling, data processing, and downstream analyses of biobanked liver samples. We observed that tissue preservation technique impacts transcriptomic data, especially in fibrotic liver. Single cell mapping of the spatial transcriptome using paired snRNAseq data generated a spatially resolved, single cell dataset with 24 unique liver cell phenotypes. We determined that cell–cell interactions predicted using ligand–receptor analysis of snRNAseq data poorly correlated with cellular relationships identified using spatial transcriptomics. Our study provides a framework for generating spatially resolved, single cell datasets to study gene expression and cell–cell interactions in biobanked clinical samples with advanced liver disease.