ABSTRACT
Objective:To investigate the value of a cuproptosis-related differential long non-coding RNA (lncRNA) scoring formula related to the prognosis of clear cell renal cell carcinoma (ccRCC) patients in the clinical diagnosis, prognosis prediction and treatment options based on bioinformatics.Methods:Gene matrix and clinical data of ccRCC patients were obtained from the Cancer Genome Atlas (TCGA) database (update to 29 March, 2022). The expression data of 539 ccRCC tissues and 72 paracancerous normal tissues were collected from gene matrix; the data of 530 ccRCC were collected from clinical data. Pearson correlation analysis, Wilcoxon signed rank test and univariate Cox proportional risk model were used to analyze the screened cuproptosis-related differential lncRNA related to the prognosis. R software was used to randomly divide 530 ccRCC patients with survival data into training set (266 cases) and validation set (264 cases) according to approximate 1∶1 ratio. LASSO regression analysis was used to construct a cuproptosis-related differential lncRNA scoring formula and cross-validation was performed. Receiver operating characteristic (ROC) curve analysis was used to evaluate the specificity and sensitivity of cuproptosis-related differential lncRNA scoring formula, and the area of the curve (AUC) was calculated. According to the median risk value, all patients were divided into the low-risk group and high-risk group; Kaplan-Meier method was used to analyze the difference in the overall survival (OS) of patients in the low-risk group and high-risk group. T test was used to detect the differences in the risk value of patients with different clinicopathological characteristics. R package rms was used to construct the nomogram for predicting 1-year, 3-year, 5-year OS rates of ccRCC patients, R package pRRophetic was used to predict the half-inhibitory concentration ( IC50) of common targeted drugs such as sorafenib and sunitinib in clinical treatment of ccRCC patients, and IC50 value of patients in low-risk group and high-risk group was compared by using Wilcoxon signed rank test. Tissue samples of 20 ccRCC patients who underwent radical nephrectomy and were diagnosed with pathology and the matched paracancerous normal tissues were collected from the First Hospital of Shanxi Medical University between June 2021 and December 2021. Real-time fluorescence quantitative polymerase chain reaction (qRT-PCR) was used to detect the expression of key lncRNA in ccRCC tissues. Results:Based on the expression matrix of 10 cuproptosis genes (FDX1, LIAS, LIPT1, DLD, DLAT, PDHA1, PDHB, MTF1, GLS, CDKN2A) of ccRCC patients in TCGA database, 153 cuproptosis-related differential lncRNA related to the prognosis were identified. According to LASSO regression analysis, a scoring formula of 4 cuproptosis-related differential lncRNA related to the prognosis was obtained, risk value was calculated as 0.020×AC015912.3+0.011×AC026401.3+0.063×AC103706.1+(-0.076)×EPB41L4A-DT. All patients were divided into high-risk group (≥0.76) and low-risk group (<0.76) based on the median value (0.76). ROC curve analysis showed that the scoring formula had good prediction accuracy in 1-year, 3-year, 5-year OS rates. In training set, validation set, the total cohort, the OS of patients in the high-risk group was worse than that in the low-risk group (all P < 0.001). The age, pathological degree, tumor staging, risk value calculated by cuproptosis-related differential lncRNA were independent influencing factors of OS (all P < 0.001). There were statistically significant differences in the risk value calculated by cuproptosis-related differential lncRNA scoring formula among patients with different pathological degree, tumor staging, T staging, N staging, M staging (all P < 0.01), while there were no statistically significant differences among patients with different gender and age (all P > 0.05). The established nomogram had good prediction accuracy in the 1-year, 3-year, 5-year OS rates. Sunitinib and sirolimus showed higher sensitivity in the high-risk group; axitinib, sorafenib and pazopanib showed higher sensitivity in the low-risk group. qRT-PCR results showed that relative expression level of AC015912.3 in ccRCC tissues was up-regulated compared with paracancerous tissues (1.00±0.04 vs. 0.68±0.24, t = 6.37, P < 0.01); the relative expression level of AC026401.3 in ccRCC tissues was up-regulated compared with paracancerous tissues (1.00±0.05 vs. 0.64±0.22, t = 7.29, P < 0.01); the relative expression level of AC103706.1 in ccRCC tissues was up-regulated compared with paracancerous tissues (1.00±0.04 vs. 0.64±0.21, t = 7.49, P < 0.01); the relative expression level of EPB41L4A-DT in ccRCC tissues was up-regulated compared with paracancerous tissues (1.00±0.06 vs. 0.73±0.10, t = 10.68, P < 0.01). Conclusions:Cuproptosis-related differential lncRNA scoring formula based on TCGA database can be used as a new marker for clinical diagnosis and prognosis prediction of ccRCC patients, which can help guide the clinical drug treatment of patients and facilitate accurate diagnosis and treatment.
ABSTRACT
Aluminum is a light metal which is rich in the earth's crust and widely used. Recently, the adverse health effects of environmental and occupational aluminum exposure on human have attracted more and more attention. Aluminum exposure has toxic effects on the central nervous system and is believed to be closely related to the development and progression of Alzheimer's disease. The neurotoxic mechanism of aluminum is complex, especially the role of regulated cell death (RCD) in aluminum-induced neuronal death remains to be further studied. RCD refers to all modes of cell death regulated by multiple intracellular signal transduction pathways under physiological and pathological conditions, including apoptosis, necroptosis, autophagy, pyroptosis, and ferroptosis. This review summarized the morphological characteristics and mechanisms of each RCD mode in the process of aluminum-induced neuronal death, and discussed the relationship and transformation between different RCD modes, providing a new scientific basis for future studies on the treatment and intervention of neurotoxicity induced by aluminum exposure.
ABSTRACT
Acute pancreatitis (AP) is a common and potentially threatening disease of the pancreas, and some patients eventually develop to severe acute pancreatitis (SAP). Symptomatic support therapies such as rehydration therapy and anti-infection are still the main treatments. Lacking specific therapies is the main reason for the high mortality of AP patients, especially those with SAP. Premature trypsinogen activation is the most important pathologic cellular event in the pathogenesis of AP. The release of trypsin can cause self-digestion inside and outside of acinar cells, especially the release of cathepsin B can also cause a caspase-unrelated regulatory cell death (RCD) known as necroptosis, which is closely related to the development and prognosis of AP. Therefore, it is necessary to further study the mechanism of necroptosis in the occurrence and development of AP. This article reviews the mechanism of necroptosis and the research progress related to AP, in an attempt to provide a new understanding of the pathogenesis and treatment of AP, and promote the better target drug development.
ABSTRACT
Acute lung injury(ALI)is a critical respiratory disorder characterized by progressive respiratory failure with high morbidity and mortality.In addition to respiratory support, ALI still lacks effective medications.Natural polyphenol, a class of natural compounds widely found in human daily food, have been proven to possess anti-inflammatory, anti-oxidant, regulating cell death, anti-pathogen infection, and exert therapeutic effects on ALI.This article reviews the pathogenesis of ALI and the mechanism of natural polyphenols in the treatment of ALI, aiming to provide a new direction for the treatment of ALI.
ABSTRACT
Discussions about what is life continue to struggle; there are pros and cons for whether a virus is alive. However, an opposite thing –cell death –appears to be tantamount important and equally not-easygoing to define. Nevertheless, our current knowledgeabout eukaryotic cell death has made a long way and resulted in a fruitful outcome: starting from three types of cell death (type I, II and III which are mainly applicable to eukaryotic cells of organisms from the biological kingdom animalia) in 1970s, Nomenclature Committee on Cell Death has named already twelve cell death forms in 2018, including the above mentioned apoptosis, autophagy and necrosis among them. How the scientific attitude towards cellular demise evolved and various aspects of different cell death modes are reviewed in this article.