Min Wu’s scientific contributions

Background The global burden of non-alcoholic steatohepatitis (NASH)-related liver cancer (NRLC) is increasing, making NASH the fastest-growing cause of liver cancer worldwide. This study presents a comprehensive analysis of NRLC burden at the global, regional, and national levels, further categorized by age, sex, and sociodemographic index (SDI). Method Data on NRLC from the Global Burden of Disease, Injuries, and Risk Factors (GBD) study 2021 were downloaded at global, regional, and national levels. The numbers and age-standardized rates (ASRs) of incidence, mortality, and disability-adjusted life years (DALYs) were analyzed to quantify the global burden of NRLC. Additionally, percentage changes in ASRs were used to identify trends in NRLC from 1990 to 2021. Results Globally, both the number of cases and ASRs for NRLC increased between 1990 and 2021. In 2021, there were 42,291 new cases, 40,925 deaths, and 995,475 DALYs attributed to NRLC. East Asia, South Asia, and Southeast Asia reported the highest absolute case numbers, while Western, Southern, and Eastern Sub-Saharan Africa exhibited the highest ASRs. From 1990 to 2021, Australasia, Southern Latin America, and High-income North America showed the most significant increases in NRLC incidence. Nationally, Mongolia, Gambia, and Mozambique exhibited the highest ASR in 2021.The greatest percentage increases in ASIR occurred in Australia, the United Kingdom, and New Zealand between 1990 and 2021. NRLC incidence rates were higher in men and increased with age, peaking at 80–89 years. Similar patterns were observed for NRLC-related deaths and DALYs. Regionally, ASRs initially declined but then increased as SDI rose. At the national level, ASRs consistently decreased with higher SDI. Conclusion This study highlights the substantial burden of NRLC at global, regional, and national levels. Males and older individuals bear a higher disease burden, and considerable variation exists across different regions and countries. These findings provide critical insights for formulating effective strategies to prevent and manage NRLC.

Background Branched-chain amino acid metabolism is involved in the pathogenesis of various liver diseases. In this study, we investigate the potential role of branched-chain amino acid metabolism-related genes in the pathogenesis of hepatic ischemia reperfusion (HIRI). Methods The gene Expression profiles of HIRI were obtained from the Gene Expression Omnibu database. To determine the differential expression of branched-chain amino acid metabolism-related genes between HIRI and normal tissues. Then, the GO and KEGG analyses were performed, and the protein-protein interaction network was constructed. Next, the random forest and LASSO algorithms were used to screen hub genes, and machine learning techniques were used to build diagnostic models. immunoinfiltration was analyzed in both HIRI patients and controls and the ceRNA network was established. Finally, quantitative real-time PCR was used to verify the expression of hub gene. Results Based on data set GSE23649, three central DEGs (SLC7A5, SLC1A5, SLC43A2) were determined by the intersection of three machine learning algorithms and used to establish a nomogram that yielded a high predictive performance (area under the curve 0.733−0.922). In the external GSE15480 dataset, AUC value for three key genes is as high as 1.000. Further analysis of nomogram, decision curve and calibration curve also confirme the predictive efficacy of diagnosis. GSEA and GSVA suggest that these three marker genes were involved in multiple pathways associated with HIRI progression. Immunoinfiltration analysis suggest that the proportion of macrophages, neutrophils, aDCs, Treg, and Th1 cells in HIRI group is higher than that in control group, with statistical significance(P<0.05). The ceRNA network demonstrates the complex regulatory relationships among the three hub genes and these mRNA levels were further confirmed in mouse HIRI liver samples. Conclusions Our study have provided a comprehensive understanding of the association between branched-chain amino acid and HIRI, may provide potential target for HIRI treatment and diagnosis. And provide new insights into the mechanisms of HIRI. Graphical Abstract