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Yuhara, S.

Publications and source records attributed to Yuhara, S..

3 recordsLinked to original sources

The Fontan EV Score: A Circulating Extracellular Vesicle-Based Risk Stratification Tool for Fontan-Associated Liver Disease

BackgroundFontan-associated liver disease (FALD) is a universal complication of the Fontan palliation characterized by chronic congestion and progressive hepatic fibrosis. Current diagnostics rely on invasive biopsies or non-specific biochemical and imaging biomarkers that fail to capture early fibrogenesis, creating a critical need for non-invasive biomarkers to stratify disease severity. MethodsWe utilized a translational ovine Fontan model (n = 19) to investigate circulating serum extracellular vesicles (sEVs) as reporters of hepatic pathology. Longitudinal serum samples paired with liver elastography were collected, and sEVs were subjected to multi-omic profiling including small RNA sequencing and proteomics. Regularized regression was used to identify transcriptomic predictors, which were integrated with time post-surgery into an ordinal logistic regression framework to construct the Fontan EV Score (FES). Model performance was evaluated on a held-out test cohort and benchmarked against established serological fibrosis indices. To validate the biological relevance of the FES panel, TGF-{beta}-treated human liver organoids were generated and scored miRNA expression was assessed. ResultsThe sEV proteome exhibited robust separation by surgical physiology, while the small RNA cargo was primarily stratified by fibrotic status. Bioinformatic analysis confirmed a high hepatic origin for these transcripts and identified enrichment of inflammatory pathways including Toll-like receptor and Interleukin-17 cascades in fibrotic subjects. The FES, incorporating time post-surgery and eleven small RNA biomarkers, demonstrated high predictive accuracy in the independent testing cohort with an AUC of 0.876 for moderate and 0.963 for severe fibrosis, substantially outperforming APRI (AUC = 0.618) and FIB-4 (AUC = 0.731). In TGF-{beta}-treated human liver organoids, several scoring miRNAs, including miR-125a-5p and miR-193b-5p, were directionally responsive to profibrotic stimulation. ConclusionsCirculating sEVs carry a liver-associated molecular cargo that can be leveraged for the non-invasive prediction of FALD severity. The FES provides a biologically validated scoring system that substantially outperforms existing serological indices and offers a new avenue for early detection and risk stratification of FALD Novelty and SignificanceO_ST_ABSWhat is Known?C_ST_ABSO_LIFontan-associated liver disease (FALD) is a nearly universal consequence of the Fontan circulation, driven by chronic venous hypertension and reduced cardiac output. C_LIO_LICurrent surveillance tools, including transaminases, composite serological indices (APRI, FIB-4), and elastography, have limited sensitivity and specificity for detecting and staging hepatic fibrosis in the Fontan population. C_LIO_LICirculating small extracellular vesicles (sEVs) carry tissue-derived molecular cargo and have shown diagnostic potential in other liver diseases, but their utility in FALD has not been explored. C_LI What New Information Does This Article Contribute?O_LIMulti-omic profiling of circulating sEVs in a translational ovine Fontan model reveals that the small RNA cargo is stratified by fibrotic status and enriched for inflammatory pathways associated with hepatic stellate cell activation. C_LIO_LIThe Fontan EV Score (FES), integrating time post-surgery with eleven circulating small RNA biomarkers, predicts FALD severity with substantially greater accuracy than APRI and FIB-4. C_LIO_LITGF-{beta}-treated human liver organoids confirm that several FES-associated miRNAs are directly responsive to profibrotic stimulation, providing biological validation independent of Fontan hemodynamics. C_LI This study demonstrates that circulating sEVs function as non-invasive reporters of hepatic fibrogenesis in the Fontan circulation and introduces the first EV-based scoring system for FALD risk stratification. The FES achieved an AUC of 0.876 for moderate and 0.963 for severe fibrosis in an independent test cohort, outperforming established serological indices that were originally developed for viral hepatitis but which perform poorly in congestive hepatopathy. By combining molecular biomarker discovery with in vitro functional validation, this work establishes a foundation for developing targeted, non-invasive diagnostics to guide surveillance and clinical decision-making in the growing Fontan patient population.

bioinformatics↗

HiCUP-Plus: a fast open-source pipeline for accurately processing large scale Hi-C sequence data

Hi-C is an unbiased genome-wide assay to study 3D chromosome conformation and gene-regulation. The HiCUP pipeline is an open-source tool to process Hi-C from massively parallel sequencing while accounting for biases specific to the restriction enzyme digests used. It is an excellent solution tailored to analyse this technique, however the latest aligner supported by the current release is Bowtie2. To improve the computational performance and mapping accuracy when using the HiCUP pipeline, we have modified it to optionally call the HiSAT2 and Dragen aligners. This allows using the HiCUP pipeline with 3rd party aligners, including the commercially-licensed high performance Dragen aligner. The HiCUP+ pipeline is modified extensively to be compatible with Dragen outputs while ensuring that the same results as the original pipeline can be reproduced with the Bowtie or Bowtie2 aligners. Using the highly accurate HiSAT2 or Dragen aligners produces larger outputs with a higher proportion of uniquely mapped read pairs. It is therefore feasible to leverage the reduced compute-time of Dragen to reduce compute costs and turnaround-time without compromising quality of results. The HiCUP pipeline and Dragen both compute rich summary information.

bioinformatics↗

Evaluation of the effects of SARS-CoV-2 genetic mutations on diagnostic RT-PCR assays

Several mutant strains of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are emerging. Mismatch(es) in primer/probe binding regions would decrease the detection sensitivity of the PCR test, thereby affecting the results of clinical testing. In this study, we conducted an in silico survey on SARS-CoV-2 sequence variability within the binding regions of primer/probe published by the Japan National Institute of Infectious Diseases (NIID) and Centers for Disease Control and Prevention (CDC). In silico analysis revealed the presence of mutations in the primer/probe binding regions. We performed RT-PCR assays using synthetic RNAs containing the mutations and showed that some mutations significantly decreased the detection sensitivity of the RT-PCR assays. Our results highlight the importance of genomic monitoring of SARS-CoV-2 and evaluating the effects of mismatches on PCR testing sensitivity.

molecular biology↗