Differences of ferroptosis-related genes between White and Asian patients with liver cancer.

Ferroptosis results from metabolic dysregulation and is closely linked to liver cancer. Although a ferroptosis-related gene signature in liver cancer has been established, the precise regulatory mechanism is still unclear. To identify shared pathogenic genes linked to ferroptosis across liver cancer patients from diverse racial backgrounds, we evaluated various ferroptosis-related genes, constructing a signature for both Asian and White patients using The Cancer Genome Atlas (TCGA) database. Based on the differential expression and functionality of ferroptosis-associated genes, we selected Farnesyl diphosphate farnesyl transferase 1 (FDFT1), Acyl-CoA synthetase long-chain 4 (ACSL4) and Endoplasmic reticulum membrane protein complex 2 (EMC2) for further study in liver cancer cells. FDFT1, ACSL4 and EMC2 induced ferroptosis of liver cancer cells though upregulation of reactive oxygen species (ROS) levels and downregulation of glutathione peroxidase (GPX4). Current data indicate no notable influence of racial differences on the functionality of ferroptosis-related genes. Our data suggests potential novel therapeutic avenues for liver cancer treatment.

SLC3A2, as an indirect target gene of ALDH2, exacerbates alcohol-associated liver cancer via the sphingolipid biosynthesis pathway.

Excessive drinking is one of the main causes of liver cancer. In the process of alcohol metabolism, aldehyde dehydrogenase 2 (ALDH2) is the key enzyme of acetaldehyde metabolism. ALDH2 gene deficiency is positively associated with the risk of hepatocellular carcinoma (HCC). However, no studies have shown a connection between ALDH2 and another metabolic regulatory gene, SLC3A2. In this study, we analyzed the expression levels of ALDH2 and SLC3A2 in liver cancer tissues based on the TCGA database. Subsequently, we constructed ALDH2 knockout and SLC3A2 knock-in transgenic mice to check the roles of ALDH2 and SLC3A2 in tumorigenesis in vivo. In addition, we examined the mechanisms of ALDH2 and SLC3A2 in HCC cells using small RNA interference technology. Consistent with previous studies, we also confirmed the functions of ALDH2 in inhibiting hepatocarcinogenesis, while SLC3A2 had the opposite effect. The main finding of this study is that ALDH2 inhibited BSG expression through the TGF-ß1 pathway, which indirectly inhibited SLC3A2 expression; subsequently, the sphingolipid metabolism pathway was also inhibited in HCC cells. Therefore, SLC3A2 is a novel target for HCC treatment.

The role of the stemness index-associated signature in the analysis of the tumorigenesis of liver cancer patients of different races.

Cancer stem cells (CSCs) are a subset of cancer cells with stem cell characteristics. The discovery of CSCs has opened a new era for cancer research. CSCs not only play a critical role in tumorigenesis, but also are responsible for the failure of cancer treatments. Here, we performed weighted gene co-expression network analysis (WGCNA) to identify key stemness genes and prognostic signatures using the data of an Asian liver cancer patient cohort and a White liver cancer patient cohort in The Cancer Genome Atlas (TCGA) database. To compare the difference in tumorigenesis between the Asian patients and the White patients, the prognostic value of the key genes from the Asian patients was evaluated in the White patient cohort and vice versa. We found that some key genes could predict the survival of the patients regardless of race. In addition, the key genes, NUCB2 and KLF4A, were selected from Asian patients and White patients, respectively, for further experimental validation. Knocking down NUCB2 could inhibit the activity of the AKT/mTOR signaling pathway and reverse the epithelial-mesenchymal transition (EMT) in liver cancer cells. We also confirmed that the knockdown of KLF4A suppressed ABCG2 activity and reduced the side population (SP) in liver cancer cells for the first time. Our results suggest that the stemness index is a useful method to identify key genes in tumorigenesis. Compared to the analysis for all patients, applying this index to the analysis of the patients of different races will provide more potential therapeutic targets for cancer treatment.

Can CD147 work as a therapeutic target for tumors through COVID-19 infection?

In this review, we discussed an interesting case infected with "COVID-19" (Corona Virus Disease 2019). The patients with Hodgkin's lymphoma recovered after infection with COVID-19. It may be that COVID-19 activates the patient's immune system, or it may be a coincidence. COVID-19 spike protein can interact with CD147 and use it as an entry to invade host cells. CD147 is a partner of SLC3A2, which is the chaperone subunit of cystine/glutamate reverse transporter (system XC). The catalytic subunit of system XC is SLC7A11. SLC7A11 mediated cysteine uptake plays a key role in ferroptosis. Through literature review and data analysis, we suggest that CD147, as a new potential COVID-19 infection entry, may also lead to ferroptosis of host cells. Our hypothesis is that spike protein of COVID-19 induced ferroptosis in host cells via CD147/SLC3A2/SLC7A11 complex. This is another explanation for the cancer patient recovered after COVID-19 infection.

In Vitro Comparative Study of the Inhibitory Effects of Mangiferin and Its Aglycone Norathyriol towards UDP-Glucuronosyl Transferase (UGT) Isoforms.

Mangiferin (MGF), the predominant constituent of extracts of the mango plant Mangifera Indica L., has been investigated extensively because of its remarkable pharmacological effects. In vitro recombinant UGTs-catalyzed glucuronidation of 4-methylumbelliferone (4-MU) was used to investigate the inhibition of mangiferin and aglycone norathyriol towards various isoforms of UGTs in our study, which evaluated the inhibitory capacity of MGF and its aglycone norathyriol (NTR) towards UDP-glucuronosyltransferase (UGT) isoforms. Initial screening experiment showed that deglycosylation of MGF into NTR strongly increased the inhibitory effects towards almost all the tested UGT isoforms at a concentration of 100 µM. Kinetic experiments were performed to further characterize the inhibition of UGT1A3, UGT1A7 and UGT1A9 by NTR. NTR competitively inhibited UGT1A3, UGT1A7 and UGT1A9, with an IC50 value of 8.2, 4.4, and 12.3 µM, and a Ki value of 1.6, 2.0, and 2.8 µM, respectively. In silico docking showed that only NTR could dock into the activity cavity of UGT1A3, UGT1A7 and UGT1A9. The binding free energy of NTR to UGT1A3, 1A7, 1A9 were -7.4, -7.9 and -4.0 kcal/mol, respectively. Based on the inhibition evaluation standard ([I]/Ki < 0.1, low possibility; 0.1 < [I]/Ki < 1, medium possibility; [I]/Ki > 1, high possibility), an in vivo herb-drug interaction between MGF/NTR and drugs mainly undergoing UGT1A3-, UGT1A7- or UGT1A9-catalyzed metabolism might occur when the plasma concentration of NTR is above 1.6, 2.0 and 2.8 µM, respectively.

[Research on wavelength variates selection methods for determination of oil yield in oil shales using near-infrared spectroscopy].

The wavelength selection is an important step in the spectra modeling analysis. In the present paper, three wavelength selection methods, including correlation coefficient (CC), moving window partial least squares (MWPLS) and uninformative variables elimination (UVE), were studied for the determination of oil yield in oil shale using near-infrared (NIR) diffuse reflection spectroscopy. The above methods were used to eliminate the redundant and irrelevant variables in spectral data for enhancing the analytic efficiency and predictive ability of calibration model. The effects of thresholds of CC, window width of MWPLS and noise matrix of UVE were studied. Partial least squares regression was used to build prediction model for predicting oil yield in oil shale, and the performance of PLS models constructed with and without the using of wavelength selection methods were compared. The results show that any of the three methods can simplify the calibration model and improve the performance of model. By using UVE, the total number of wavelength variables of spectral data, the RMSECV of calibration model and the RMSEP of prediction model were decreased by 22.8%, 9.3% and 4.5%, respectively.

[Anti-inflammatory mechanism of qingfei xiaoyan wan studied with network pharmacology].

This study aims to clarify out the anti-inflammatory mechanism of Qingfei Xiaoyan Wan. Chemical constituents of Qingfei Xiaoyan Wan identified by UPLC Q-TOF, were submit to Molinspiration, PharmMapper and KEGG bioinformatics softwares for predicting their absorption parameters, target proteins and related pathways respectively; and the gene chip and real time-PCR were carried out to investigate the expression of inflammatory genes on lung tissue of guinea pigs or human bronchial epithelial cell lines. The predicted results showed that 19 of the 24 absorbable constituents affected at 9 inflammation-related pathways through 11 protein targets; Qingfei Xiaoyan Wan treatment can significantly reduce the infiltration of cytokines through ERK1 gene and 5 inflammatory pathways (Focal adhesion, Fc epsilon RI, Toll-like receptors, NK cell-mediated cytotoxic, and ERK/MAPK). The results of real time-PCR further confirmed that the anti-inflammatory effects of Qingfei Xiaoyan Wan were due to active ingredients such as arctigenin, cholic acid and sinapic acid intervened focal adhesion, Fc epsilon RI signaling and ERK/MAPK pathways. The novel approach of 'drug-target-pathway' will present an effective strategy for the study of traditional Chinese medicines.