Liver Elastography for Liver Fibrosis Stratification: A Comparison of Three Techniques in a Biopsy-Controlled MASLD Cohort by Antonio Liguori, Giorgio Esposto, Maria Elena Ainora, Irene Mignini, Raffaele Borriello, Linda Galasso, Mattia Paratore, Maria Cristina Giustiniani, Laura Riccardi, Matteo Garcovich, Antonio Gasbarrini, Luca Miele, Maria Assunta Zocco

“…<b>Background:</b> The aim of this study was to investigate the accuracy in fibrosis staging of a novel shear wave elastography (SWE) device (S-Shearwave Imaging by Samsung) and a previously validated 2D-SWE by Supersonic Imagine (SSI) in patients with biopsy proven metabolic dysfunction-associated steatotic liver disease (MASLD). <b>Methods:</b> This prospective study included 75 consecutive patients with MASLD who underwent liver biopsy for suspected MASH. …”
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Sex differences in murine MASH induced by a fructose-palmitate-cholesterol-enriched diet by Lakshmi Arivazhagan, Sofie Delbare, Robin A. Wilson, Michaele B. Manigrasso, Boyan Zhou, Henry H. Ruiz, Kaamashri Mangar, Ryoko Higa, Emily Brown, Huilin Li, Michael J. Garabedian, Ravichandran Ramasamy, Kathryn J. Moore, Edward A. Fisher, Neil D. Theise, Ann Marie Schmidt

“…Background &amp; Aims: Metabolic syndrome-associated steatotic liver disease (MASLD) and metabolic syndrome-associated steatohepatitis (MASH) have global prevalence rates exceeding 25% and 3-6%, respectively. …”
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Macrophage Notch1 signaling modulates regulatory T cells via the TGFB axis in early MASLD by Mengya Zhang, Kun Li, Xiaoxing Huang, Dongqin Xu, Ruobin Zong, Qintong Hu, Xiaoyu Dong, Qinyong Zhang, Chaochen Jiang, Yue Ge, Changyong Li, Jie Ping

“…Background &amp; Aims: Hepatic immune imbalance is crucial for driving metabolic dysfunction-associated steatotic liver disease (MASLD) progression. However, the role of hepatic regulatory T cells (Tregs) in MASLD initiation and the mechanisms responsible for their change are not completely understood. …”
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Sustained immunogenicity of bivalent protein COVID-19 vaccine SCTV01C against antigen matched and mismatched variants by Guiqiang Wang, Kexin Zhao, Xiuli Zhao, Yimin Cui, Peng He, Tianzuo Zhang, Yanchao Wang, Rui Shi, Yanhua Li, Qian Wang, Yanping Ren, Zhisong Chen, Xuedan Zhao, Zekang Xie, Yufei Liang, Qingyun Tian, Jing Pan, Chao Zhang, Ying Han, Yuyang Dai, Siyang Ni, Yun Zhang, Xinjie Yang, Yongpan Fu, Dongfang Liu, Jing Li, Miaomiao Zhang, Zhongyu Hu, Liangzhi Xie

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Association of rs3755319 and rs4148325 of the <i>UGT1A1</i> gene, rs2328136 of the <i>NUP153-AS</i> gene, and rs16928809 of the <i>SLC22A18</i> gene with benign unconjugated hyperb... by Anastasiya A. Ivanova, Natalia E. Apartseva, Anastasiia P. Kashirina, Elena G. Nemcova, Julija V. Ivanova, Margarita V. Kruchinina, Svetlana A. Kurilovich, Vladimir N. Maksimov

“…Background: Benign unconjugated hyperbilirubinemia, also known as Gilbert's syndrome, is a common in the population moderate increase in total and unconjugated bilirubin concentrations in individuals without liver disease or hemolysis. Aim: To identify associations of rs3755319, rs4148325 of the UGT1A1 gene, rs2328136 of the NUP153-AS gene, and rs16928809 of the SLC22A18 gene with benign unconjugated hyperbilirubinemia. …”
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Development and validation of a machine learning-based model to predict survival in patients with cirrhosis after transjugular intrahepatic portosystemic shuntResearch in context by Binlin Da, Huan Chen, Wei Wu, Wuhua Guo, Anru Zhou, Qin Yin, Jun Gao, Junhui Chen, Jiangqiang Xiao, Lei Wang, Ming Zhang, Yuzheng Zhuge, Feng Zhang

“…The RF model outperformed other scoring systems, such as the (Child-Turcotte-Pugh score) CTP, (model for end-stage liver disease) MELD, (sodium MELD) MELD-Na, (Freiburg index of post-TIPS survival) FIPS and (Albumin-Bilirubin) ALBI, showing the highest (area under the curve) AUC of 0.82 (95% CI: 0.72, 0.91) and 0.7 (95% CI: 0.60, 0.79) in predicting 1-year survival across the testing set and external validation cohort. …”
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Efficacy and safety of jaktinib hydrochloride tablets in active axial spondyloarthritis: a multicentre, randomised, double-blind, placebo-controlled phase II clinical trial by Xiaomei Li, Xiaoxia Wang, Jian Wu, Xiao Zhang, Chunde Bao, Shengqian Xu, Lingyun Sun, Juan Wang, Guixiu Shi, Xiaofei Wang, Qing Dai, Antao Xu, Huaxiang Wu, YongQing Wang, Yan Ye, Yongfu Wang, Huaxiang Liu, Chenyin Lv, Jun Miao, Weiqi Min, Kuanting Wang, Luan Xue, Shanhui Ye

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