Comprehensive analysis of key m5C modification-related genes in type 2 diabetes

Isoimperatorin improves osteoporosis by increasing YBX1 expression to promote BGLAP m5C modification

Osteoporosis is a chronic metabolic bone disease that is prone to fractures. Isoimperatorin (ISO) has been shown to alleviate the bone loss in ovariectomized (OVX) rats. The aim of this study was to investigate the effect and the mechanism of ISO on osteoporosis using animal study and cell experiments. Osteogenic differentiation was assessed by alkaline phosphatase activity detection, and alizarin red S staining. The expression of osteogenic differentiation-related genes and m5C regulators was measured using quantitative real-time PCR. Hematoxylin eosin (H&E) staining and microCT were performed to evaluate osteoporosis in vivo. The m5C levels in mice were measured by dot blot assay, and the binding between ISO and YBX1 was assessed by biolayer interferometry (BLI) analysis and molecular docking. Methylated RNA immunoprecipitation was performed to identify the target gene of YBX1. The interaction between YBX1 and BGLAP was assessed using RIP and luciferase reporter assay. Results suggested that ISO significantly promoted osteogenic differentiation of MC3T3 cells and alleviated osteoporosis in OVX mice. Moreover, ISO increased m5C level and YBX1 expression in OVX mice, while YBX1 knockdown inhibited osteogenic differentiation in ISO-treated MC3T3 cells, and restored osteoporosis in OVX mice ameliorated by ISO. Additionally, YBX1 knockdown inhibited the m5C level of BGLAP through inhibiting its mRNA stability. In conclusion, we demonstrated that ISO improved osteoporosis through increasing YBX1 expression thereby upregulating the m5C modification of BGLAP. These results may provide a novel theoretical basis for ISO treatment of osteoporosis.

The extensive m5C epitranscriptome of Thermococcus kodakarensis is generated by a suite of RNA methyltransferases that support thermophily

RNAs are often modified to invoke new activities. While many modifications are limited in frequency, restricted to non-coding RNAs, or present only in select organisms, 5-methylcytidine (m5C) is abundant across diverse RNAs and fitness-relevant across Domains of life, but the synthesis and impacts of m5C have yet to be fully investigated. Here, we map m5C in the model hyperthermophile, Thermococcus kodakarensis. We demonstrate that m5C is ~25x more abundant in T. kodakarensis than human cells, and the m5C epitranscriptome includes ~10% of unique transcripts. T. kodakarensis rRNAs harbor tenfold more m5C compared to Eukarya or Bacteria. We identify at least five RNA m5C methyltransferases (R5CMTs), and strains deleted for individual R5CMTs lack site-specific m5C modifications that limit hyperthermophilic growth. We show that m5C is likely generated through partial redundancy in target sites among R5CMTs. The complexity of the m5C epitranscriptome in T. kodakarensis argues that m5C supports life in the extremes.

Identification and validation of ferroptosis-related prognostic gene signature in patients with cervical cancer

Background

Ferroptosis is an iron-dependent cell death, which is distinct from the other types of regulated cell death. Considerable studies have demonstrated that ferroptosis is involved in the biological process of various cancers. However, the role of ferroptosis in cervical cancer (CC) remains unclear. This study aims to explore the ferroptosis-related prognostic genes (FRPGs) expression profiles and their prognostic values in CC.

Methods

The ferroptosis-related genes (FRGs) were obtained from The Cancer Genome Atlas (TCGA) and FerrDb databases. Core FRGs were determined by the Search Tool for the Retrieval of Interacting Genes (STRING) website. FRPGs were identified using univariate and multivariate Cox regressions, and the ferroptosis-related prognostic model was constructed. FRPGs were verified in clinical specimens. The relationship between FRPGs and tumor infiltrating immune cells were assessed through the CIBERSORT algorithm and the LM22 signature matrix. Bioinformatics functions of FRPGs were explored with the Database for Annotation, Visualization, and Integrated Discovery (DAVID).

Results

Thirty-three significantly up-regulated and 28 down-regulated FRGs were screened from databases [P<0.05; false discovery rate (FDR) <0.05; and |log2 fold change (FC)| ≥2]. Twenty-four genes were found closely interacting with each other and regarded as hub genes (degree ≥3). Solute carrier family 2 member 1 (SLC2A1), carbonic anhydrases IX (CA9), and dual oxidase 1 (DUOX1) were identified as independent prognostic signatures for overall survival (OS) in a Cox regression. Time-dependent receiver operating characteristic (ROC) curves showed the predictive ability of the ferroptosis-related prognostic model, especially for 1-year OS [area under the curve (AUC) =0.76]. Consistent with the public data, our experiments demonstrated that the mRNA levels of SLC2A1 and DUOX1, and the protein levels of SLC2A1, DUOX1, and CA9 were significantly higher in the tumor tissues. Further analysis showed that there was a significant difference in the proportion of tumor infiltrating immune cells between the low- and high-risk group based on our prognostic model. The function enrichment of FRPGs was explored by applying Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses.

Conclusions

In this study, the features of FRPGs in CC were pictured. The results implicated that targeting ferroptosis may be a new reliable biomarker and an alternative therapy for CC.

Changes of RNA m6A/m5C Modification Regulatory Molecules in Ferroptosis of T2DM Rat Pancreas

N6-methyladenine (m6A) and 5-methylcytosine (m5C) are two common forms of RNA methylation that play an important role in the epigenetics of type 2 diabetes mellitus (T2DM). One type of cell death, ferroptosis, has been implicated in islet β-cell damage in T2DM. Notably, RNA methylation, an upstream regulatory mechanism of mRNAs, can regulate the expression of ferroptosis signaling molecules, thereby affecting cell proliferation and death. Here, we found that the ferroptosis signaling pathway was activated in pancreas of T2DM rats, followed by significant changes in m6A/m5C modification regulatory molecules. These detection data together with the prediction results that m6A and m5C exist in the mRNAs of ferroptosis molecules, we speculate that m6A and m5C are probably involved in pancreatic cell damage by modifying of ferroptosis signaling molecules. In short, our findings provide a new research idea for future studies on the molecular mechanisms of pancreatic cell damage and point to a new direction for exploring the mechanisms of ferroptosis from the perspective of RNA methylation modification.

Comprehensive review on lipid metabolism and RNA methylation: Biological mechanisms, perspectives and challenges

Adipose tissue plays a crucial role in maintaining energy balance, regulating hormones, and promoting metabolic health. To address disorders related to obesity and develop effective therapies, it is essential to have a deep understanding of adipose tissue biology. In recent years, RNA methylation has emerged as a significant epigenetic modification involved in various cellular functions and metabolic pathways. Particularly in the realm of adipogenesis and lipid metabolism, extensive research is ongoing to uncover the mechanisms and functional importance of RNA methylation. Increasing evidence suggests that RNA methylation plays a regulatory role in adipocyte development, metabolism, and lipid utilization across different organs. This comprehensive review aims to provide an overview of common RNA methylation modifications, their occurrences, and regulatory mechanisms, focusing specifically on their intricate connections to fat metabolism. Additionally, we discuss the research methodologies used in studying RNA methylation and highlight relevant databases that can aid researchers in this rapidly advancing field.

Gene expression profiling and protein-protein network analysis revealed prognostic hub biomarkers linking cancer risk in type 2 diabetic patients

Type 2 diabetes mellitus (T2DM) and cancer are highly prevalent diseases imposing major health burden globally. Several epidemiological studies indicate increased susceptibility to cancer in T2DM patients. However, genetic factors linking T2DM with cancer have been poorly studied. In this study, we followed computational approaches using the raw gene expression data of peripheral blood mononuclear cells of T2DM and cancer patients available in the gene expression omnibus (GEO) database. Our analysis identified shared differentially expressed genes (DEGs) in T2DM and three common cancer types, namely, pancreatic cancer (PC), liver cancer (LC), and breast cancer (BC). The functional and pathway enrichment analysis of identified common DEGs highlighted the involvement of critical biological pathways, including cell cycle events, immune system processes, cell morphogenesis, gene expression, and metabolism. We retrieved the protein-protein interaction network for the top DEGs to deduce molecular-level interactions. The network analysis found 7, 6, and 5 common hub genes in T2DM vs. PC, T2DM vs. LC, and T2DM vs. BC comparisons, respectively. Overall, our analysis identified important genetic markers potentially able to predict the chances of PC, LC, and BC onset in T2DM patients.