Publications by authors named "Zhipu Liu"
Article Synopsis
- N6-methyladenosine (mA) modification is critical for managing ferroptosis-related RNAs, but its role in cholangiocarcinoma (CC) is still unclear.
- Public databases revealed METTL16's overexpression in CC, indicating poor patient prognosis, and it was found to protect cells from ferroptosis by maintaining mitochondrial health and affecting iron and lipid metabolism.
- Mechanistically, METTL16 enhances ATF4 mRNA stability through m6A modification, which helps prevent ferroptosis in CC, suggesting potential therapeutic targets in the condition.
Liver metabolites are involved in the progression of rheumatoid arthritis (RA), indicating a connection between the liver and joints. However, the impact and mechanism of Hepatitis B virus (HBV), a hepatotropic virus, on RA are still unclear. We investigated the correlation between HBV and RA using Mendelian randomization analysis.
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- * Lower levels of USP24 in HCC lead to increased tumor growth and spread, while boosting USP24 blocks these effects and helps maintain Beclin1 levels, which is important for cell survival.
- * The research suggests that USP24 helps regulate a type of cell death called ferroptosis through its effect on Beclin1, indicating that targeting USP24 could be a potential treatment for HCC.
Article Synopsis
- Disulfidptosis is a new cell death mechanism that negatively impacts the prognosis for patients with hepatocellular carcinoma (HCC), particularly in cases related to hepatitis B virus (HBV).
- A Mendelian randomization analysis showed that higher genetic susceptibility to HBV is linked to increased HCC risk, and genetic changes tied to disulfidptosis also raise this risk.
- The study identified five specific genes (GYS1, RPN1, SLC7A11, LRPPRC, and CAPZB) that can predict the prognosis of HBV-HCC and suggested that targeting GYS1 could be a promising strategy due to its strong association with immune activity and tumor growth inhibition.
There is growing evidence of an elevated risk of lung cancer in patients with rheumatoid arthritis. The poor prognosis of rheumatoid arthritis-associated lung cancer and the lack of therapeutic options pose an even greater challenge to the clinical management of patients. This study aimed to identify potential molecular targets associated with the progression of rheumatoid arthritis-associated lung cancer and examine the efficacy of naringenin nanoparticles targeting cyclin B1.
View Article and Find Full Text PDFStyle Uncertainty Based Self-Paced Meta Learning for Generalizable Person Re-Identification.
IEEE Trans Image Process
April 2023
Domain generalizable person re-identification (DG ReID) is a challenging problem, because the trained model is often not generalizable to unseen target domains with different distribution from the source training domains. Data augmentation has been verified to be beneficial for better exploiting the source data to improve the model generalization. However, existing approaches primarily rely on pixel-level image generation that requires designing and training an extra generation network, which is extremely complex and provides limited diversity of augmented data.
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