Metabolic implications of amino acid metabolites in chronic kidney disease progression: a metabolomics analysis using OPLS-DA and MBRole2.0 database.

BACKGROUND: As chronic kidney disease (CKD) progresses, metabolites undergo diverse transformations. Nevertheless, the impact of these metabolic changes on the etiology, progression, and prognosis of CKD remains uncertain. Our objective is to conduct a metabolomics analysis to scrutinize metabolites and identify significant metabolic pathways implicated in CKD progression, thereby pinpointing potential therapeutic targets for CKD management. METHODS: We recruited 145 patients with CKD and determined their mGFR by measuring the plasma iohexol clearance, whereupon we partitioned them into four groups based on their mGFR values. Non-targeted metabolomics analysis was conducted using UPLC-MS/MS assays. Differential metabolites were identified via one-way ANOVA, PCA, PLS-DA, and OPLS-DA analyses employing the MetaboAnalyst 5.0 platform. Ultimately, we performed differential metabolite pathway enrichment analysis, using both the MetaboAnalyst 5.0 platform and the MBRole2.0 database. RESULTS: According to the findings of the MBRole2.0 and MetaboAnalyst 5.0 enrichment analysis, six amino acid metabolism pathways were discovered to have significant roles in the progression of CKD, with the glycine, serine, and threonine metabolism pathway being the most prominent. The latter enriched 14 differential metabolites, of which six decreased while two increased concomitantly with renal function deterioration. CONCLUSIONS: The metabolic analysis unveiled that glycine, serine, and threonine metabolism plays a pivotal role in the progression of CKD. Specifically, glycine was found to increase while serine decreased with the deterioration of CKD.

Identified Gefitinib Metabolism-Related lncRNAs can be Applied to Predict Prognosis, Tumor Microenvironment, and Drug Sensitivity in Non-Small Cell Lung Cancer.

Gefitinib has shown promising efficacy in the treatment of patients with locally advanced or metastatic EGFR-mutated non-small cell lung cancer (NSCLC). Molecular biomarkers for gefitinib metabolism-related lncRNAs have not yet been elucidated. Here, we downloaded relevant genes and matched them to relevant lncRNAs. We then used univariate, LASSO, and multivariate regression to screen for significant genes to construct prognostic models. We investigated TME and drug sensitivity by risk score data. All lncRNAs with differential expression were selected for GO/KEGG analysis. Imvigor210 cohort was used to validate the value of the prognostic model. Finally, we performed a stemness indices difference analysis. lncRNA-constructed prognostic models were significant in the high-risk and low-risk subgroups. Immune pathways were identified in both groups at low risk. The higher the risk score the greater the value of exclusion, MDSC, and CAF. PRRophetic algorithm screened a total of 58 compounds. In conclusion, the prognostic model we constructed can accurately predict OS in NSCLC patients. Two groups of low-risk immune pathways are beneficial to patients. Gefitinib metabolism was again validated to be related to cytochrome P450 and lipid metabolism. Finally, drugs that might be used to treat NSCLC patients were screened.

Corrigendum: The Regulators Associated With N6-Methyladenosine in Lung Adenocarcinoma and Lung Squamous Cell Carcinoma Reveal New Clinical and Prognostic Markers.

[This corrects the article DOI: 10.3389/fcell.2021.741521.].

SARS-CoV-2: The Monster Causes COVID-19.

Coronaviruses are viruses whose particles look like crowns. SARS-CoV-2 is the seventh member of the human coronavirus family to cause COVID-19 which is regarded as a once-in-a-century pandemic worldwide. It holds has the characteristics of a pandemic, which has broy -55ught many serious negative impacts to human beings. It may take time for humans to fight the pandemic. In addition to humans, SARS-CoV-2 also infects animals such as cats. This review introduces the origins, structures, pathogenic mechanisms, characteristics of transmission, detection and diagnosis, evolution and variation of SARS-CoV-2. We summarized the clinical characteristics, the strategies for treatment and prevention of COVID-19, and analyzed the problems and challenges we face.

The Regulators Associated With N6-Methyladenosine in Lung Adenocarcinoma and Lung Squamous Cell Carcinoma Reveal New Clinical and Prognostic Markers.

N6-methyladenosine (m6A) methylation is of significant importance in the initiation and progression of tumors, but how specific genes take effect in different lung cancers still needs to be explored. The aim of this study is to analyze the correlation between the m6A RNA methylation regulators and the occurrence and development of lung cancer. The data of lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) were obtained through the TCGA database. We systematically analyzed the related pathological characteristics and prognostic factors by applying univariate and multivariate Cox regression, as well as LASSO Cox regression. Some of 23 m6A regulators are identified as having high expression in lung cancer. In addition, risk score has been shown to be an independent prognostic factor in lung cancer. Our research not only fully reveals that m6A regulators and clinical pathological characteristics are potentially useful with respect to survival and prognosis in different lung tumors but also can lay a theoretical root for the treatment for lung cancer-notably, to point out a new direction for the development of treatment.

MiR-196a exerts its oncogenic effect in glioblastoma multiforme by inhibition of IκBα both in vitro and in vivo.

BACKGROUND: Recent studies have revealed that miR-196a is upregulated in glioblastoma multiforme (GBM) and that it correlates with the clinical outcome of patients with GBM. However, its potential regulatory mechanisms in GBM have never been reported. METHODS: We used quantitative real-time PCR to assess miR-196a expression levels in 132 GBM specimens in a single institution. Oncogenic capability of miR-196a was detected by apoptosis and proliferation assays in U87MG and T98G cells. Immunohistochemistry was used to determine the expression of IκBα in GBM tissues, and a luciferase reporter assay was carried out to confirm whether IκBα is a direct target of miR-196a. In vivo, xenograft tumors were examined for an antiglioma effect of miR-196a inhibitors. RESULTS: We present for the first time evidence that miR-196a could directly interact with IκBα 3'-UTR to suppress IκBα expression and subsequently promote activation of NF-κB, consequently promoting proliferation of and suppressing apoptosis in GBM cells both in vitro and in vivo. Our study confirmed that miR-196a was upregulated in GBM specimens and that high levels of miR-196a were significantly correlated with poor outcome in a large cohort of GBM patients. Our data from human tumor xenografts in nude mice treated with miR-196 inhibitors demonstrated that inhibition of miR-196a could ameliorate tumor growth in vivo. CONCLUSIONS: MiR-196a exerts its oncogenic effect in GBM by inhibiting IκBα both in vitro and in vivo. Our findings provide new insights into the pathogenesis of GBM and indicate that miR-196a may predict clinical outcome of GBM patients and serve as a new therapeutic target for GBM.

MicroRNA-153 is tumor suppressive in glioblastoma stem cells.

Glioblastoma multiforme (GBM) is lethal brain tumor thought to arise from GBM stem cells (GBM-SCs). MicroRNAs carry out post-transcriptional regulation of various cellular processes that modulate the stemness properties of GBM-SCs. Here, we investigated the critical role of miR-153 in GBM-SCs. First, GBM-SCs were isolated from six GBM specimens. These GBM-SCs formed GBM spheres, expressed markers associated with neural stem cells, and possessed the capacity for self-renewal and multilineage differentiation. Then qRT-PCR analysis showed that miR-153 expression was down-regulated in GBM tissues relative to normal brain tissues, and in CD133 positive cells relative to CD133 negative cells. This project demonstrates for the first time that transient transfection of miR-153 into GBM-SCs can inhibit their stemness properties, such as impairing self-renewal ability and inducing differentiation. Meanwhile, miR-153 can also repress GBM-SCs growth and induce apoptosis. Altogether, these results indicate that reactivation of miR-153 expression suggests novel therapeutic strategies for GBM-SCs.