Inhibition of ALKBH5 inhibits inflammation and excessive proliferation by promoting TRIM13 m6A modifications in glomerular mesangial cells.

Chronic glomerulonephritis (CGN) refers to the inflammation of glomeruli in the kidneys. Glomerular mesangial cells (GMCs) play a pivotal role in the development of CGN. In the present study, we investigated the impact of ALKBH5, a m6A demethylase, on inflammation and hyperproliferation in mouse glomerular mesangial cells (MMCs) and elucidated the molecular mechanisms contributing to CGN. Western blotting and reverse transcriptase-polymerase chain reaction (RT-qPCR) were employed to evaluate the expression of ALKBH5 and TRIM13. In addition, enzyme-linked immunosorbent assay (ELISA) was used to measure the levels of inflammatory factors (IL-1ß, TNF-α, and IL-10) in the lipopolysaccharide (LPS)-induced MMCs supernatant. Methylated RNA immunoprecipitation (MeRIP) was performed to investigate the effect of ALKBH5 on the levels of TRIM13-m6A mRNA. The stability of TRIM13 mRNA was evaluated using an actinomycin D assay. Significantly elevated expression of ALKBH5 was found in LPS-induced MMCs. Interference with ALKBH5 expression inhibited inflammation and excessive proliferation in LPS-induced MMCs. Moreover, interfering with ALKBH5 expression significantly reduced the levels of TRIM13-m6A modification. The overexpression of TRIM13 in MMCs reversed the inflammation and proliferation induced by ALKBH5 interference. In addition, interference with TRIM13 expression inhibited the activation of the NF-κB pathway and suppressed inflammation and proliferation in MMCs. Inhibiting ALKBH5 hinders inflammation and hyperproliferation by improving TRIM13-m6A modification in glomerular MCs. We believe these findings will further provide insights into the molecular mechanisms and potential therapeutic targets for CGN.

Overexpression of FTO inhibits excessive proliferation and promotes the apoptosis of human glomerular mesangial cells by alleviating FOXO6 m6A modification via YTHDF3-dependent mechanisms.

Background: N6-methyladenosine (m6A) is a prevalent post-transcriptional modification presented in messenger RNA (mRNA) of eukaryotic organisms. Chronic glomerulonephritis (CGN) is characterised by excessive proliferation and insufficient apoptosis of human glomerular mesangial cells (HGMCs) but its underlying pathogenesis remains undefined. Moreover, the role of m6A in CGN is poorly understood. Methods: The total level of m6A modification was detected using the m6A quantification assay (Colorimetric). Cell proliferation was assessed by EdU cell proliferation assay, and cell apoptosis was detected by flow cytometry. RNA sequencing was performed to screen the downstream target of fat mass and obesity-associated protein (FTO). MeRIP-qPCR was conducted to detect the m6A level of forkhead box o6 (FOXO6) in HGMCs. RIP assay was utilized to indicate the targeting relationship between YTH domain family 3 (YTHDF3) and FOXO6. Actinomycin D assay was used to investigate the stability of FOXO6 in HGMCs. Results: The study found that the expression of FTO was significantly reduced in lipopolysaccharide (LPS)-induced HGMCs and renal biopsy samples of patients with CGN. Moreover, FTO overexpression and knockdown could regulate the proliferation and apoptosis of HGMCs. Furthermore, RNA sequencing and cellular experiments revealed FOXO6 as a downstream target of FTO in regulating the proliferation and apoptosis of HGMCs. Mechanistically, FTO overexpression decreases the level of FOXO6 m6A modification and reduces the stability of FOXO6 mRNA in a YTHDF3-dependent manner. Additionally, the decreased expression of FOXO6 inhibits the PI3K/AKT signaling pathway, thereby inhibiting the proliferation and promoting apoptosis of HGMCs. Conclusion: This study offers insights into the mechanism through which FTO regulates the proliferation and apoptosis of HGMCs by mediating m6A modification of FOXO6 mRNA. These findings also suggest FTO as a potential diagnostic marker and therapeutic target for CGN.

Identifying Aging-Related Biomarkers and Immune Infiltration Features in Diabetic Nephropathy Using Integrative Bioinformatics Approaches and Machine-Learning Strategies.

BACKGROUND: Aging plays an essential role in the development of diabetic nephropathy (DN). This study aimed to identify and verify potential aging-related genes associated with DN using bioinformatics analysis. METHODS: To begin with, we combined the datasets from GEO microarrays (GSE104954 and GSE30528) to find the genes that were differentially expressed (DEGs) across samples from DN and healthy patient populations. By overlapping DEGs, weighted co-expression network analysis (WGCNA), and 1357 aging-related genes (ARGs), differentially expressed ARGs (DEARGs) were discovered. We next performed functional analysis to determine DEARGs' possible roles. Moreover, protein-protein interactions were examined using STRING. The hub DEARGs were identified using the CytoHubba, MCODE, and LASSO algorithms. We next used two validation datasets and Receiver Operating Characteristic (ROC) curves to determine the diagnostic significance of the hub DEARGs. RT-qPCR, meanwhile, was used to confirm the hub DEARGs' expression levels in vitro. In addition, we investigated the relationships between immune cells and hub DEARGs. Next, Gene Set Enrichment Analysis (GSEA) was used to identify each biomarker's biological role. The hub DEARGs' subcellular location and cell subpopulations were both identified and predicted using the HPA and COMPARTMENTS databases, respectively. Finally, drug-protein interactions were predicted and validated using STITCH and AutoDock Vina. RESULTS: A total of 57 DEARGs were identified, and functional analysis reveals that they play a major role in inflammatory processes and immunomodulation in DN. In particular, aging and the AGE-RAGE signaling pathway in diabetic complications are significantly enriched. Four hub DEARGs (CCR2, VCAM1, CSF1R, and ITGAM) were further screened using the interaction network, CytoHubba, MCODE, and LASSO algorithms. The results above were further supported by validation sets, ROC curves, and RT-qPCR. According to an evaluation of immune infiltration, DN had significantly more resting mast cells and delta gamma T cells but fewer regulatory T cells and active mast cells. Four DEARGs have statistical correlations with them as well. Further investigation revealed that four DEARGs were implicated in immune cell abnormalities and regulated a wide range of immunological and inflammatory responses. Furthermore, the drug-protein interactions included four possible therapeutic medicines that target four DEARGs, and molecular docking could make this association practical. CONCLUSIONS: This study identified four DEARGs (CCR2, VCAM1, CSF1R, and ITGAM) associated with DN, which might play a key role in the development of DN and could be potential biomarkers in DN.

Construction of chronic glomerulonephritis­related lncRNA­mRNA regulatory network and lncRNA­-miRNA­mRNA ceRNA network by bioinformatics analysis.

Long non-coding RNAs (lncRNAs) are ncRNA transcripts >200 nucleotides that are important genetic regulators. LncRNAs can directly regulate mRNA through a lncRNA-mRNA regulatory mode and can also regulate mRNA through competitive binding to micro (mi)RNA, which is generally known as the competitive endogenous RNA (ceRNA) network. The present study evaluated the functional roles and regulatory networks of lncRNAs in chronic glomerulonephritis (CGN). The proliferative ability of mouse glomerular mesangial cells (GMCs) induced by different concentrations of lipopolysaccharide (LPS) was assessed using the Cell Counting Kit-8 assay, and RNA sequencing (RNA-seq) was performed to identify differentially expressed lncRNAs in LPS-induced GMCs. Based on the sequencing results, six lncRNAs were selected for validation using reverse transcription-quantitative PCR (RT-qPCR). Furthermore, the lncRNA-mRNA regulatory network and the lncRNA-miRNA-mRNA ceRNA network were constructed to assess the role and mechanism of CGN-related lncRNAs. To elucidate the biological functions of lncRNAs, Gene Ontology (GO) biological process term enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed on all mRNAs involved in the lncRNA-mRNA regulatory network and in the ceRNA network. A total of 1,532 differentially expressed lncRNAs, including 594 upregulated lncRNAs and 938 downregulated lncRNAs, were identified using RNA-seq. The results of RT-qPCR validation were consistent with RNA-seq results. An lncRNA-mRNA regulatory network, including 236 lncRNAs and 556 mRNAs, and a ceRNA network, including 6 lncRNAs, 18 miRNAs and 419 mRNAs, were successfully constructed. The GO biological process term enrichment and KEGG pathway enrichment analyses demonstrated that those lncRNAs were often related to inflammatory response and substance metabolism. The present study identified key CGN-related lncRNAs in LPS-induced GMCs, and further demonstrated a global view of the lncRNA-mRNA regulatory network and ceRNA network involved in CGN. These results offered novel insights into the roles of lncRNAs in the pathogenesis of CGN and identified potential diagnostic biomarkers.

RNA sequencing reveals the mechanism of FTO in inhibiting inflammation and excessive proliferation of lipopolysaccharide-induced human glomerular mesangial cells.

Chronic glomerulonephritis (CGN) is a leading cause of end-stage renal disease in China; thus, there is an urgent need for effective therapeutic targets and strategies for CGN treatment. However, studies on CGN pathogenesis are limited. In this study, we found that the fat mass and obesity-associated protein (FTO) was significantly decreased in the lipopolysaccharide (LPS)-induced human glomerular mesangial cells (HGMCs) (P < 0.01) and kidney tissues of CGN patients (P < 0.05). Moreover, double-labeling immunofluorescence and flow cytometry assays demonstrated that the overexpression of FTO could inhibit inflammation and excessive proliferation of HGMCs. Furthermore, RNA-sequencing (RNA-seq) and real-time quantitative polymerase chain reaction (RT-qPCR) analyses revealed that FTO overexpression induced differential expression of 269 genes (absolute fold change ≥ 2 and P-value < 0.05), including 143 upregulated and 126 downregulated genes. Further functional analysis of these differentially expressed genes by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses suggested that FTO possibly mediates its inhibitory function by regulating the mammalian target of rapamycin (mTOR) signaling pathway and substance metabolism. Lastly, analysis of the PPI network and further identification of the top 10 hub genes (RPS15, RPS18, RPL18A, GNB2L1, RPL19, EEF1A1, RPS25, FAU, UBA52, and RPS6) indicated that FTO mediates its function by affecting the ribosomal proteins. Therefore, in this study, we elucidated the important role of FTO in the regulation of inflammation and excessive proliferation of HGMCs, suggesting FTO administration as a suitable therapeutic intervention for CGN.

Flavonoids as Protein Disulfide Isomerase Inhibitors: Key Molecular and Structural Features for the Interaction.

Quercetin-3-rutinoside (rutin) is a bioflavonoid that is common in foods. The finding that quercetin-3-rutinoside inhibits protein disulfide isomerase (PDI) and potently blocks thrombosis in vivo has enabled the evaluation of PDI inhibition in multiple animal models of thrombus formation and has prompted clinical studies of PDI inhibition in thrombosis. Nonetheless, how quercetin-3-rutinoside blocks PDI activity remains an unanswered question. Combining NMR spectroscopy, site-directed mutagenesis, and biological assays, we identified H256 as the key residue for PDI interacting with quercetin-3-rutinoside. Quercetin-3-rutinoside inhibited the activity of PDI (WT) but not PDI (H256A). Molecular dynamic simulations indicated that the flavonoid skeleton, but not the rutinoside conjugate, is embedded in the major binding pocket on the b' domain. Among several quercetin-3-rutinoside analogues tested, only compounds with a phenoxyl group at position 7 showed direct binding to PDI, further supporting our molecular model. Studies using purified coagulation factors showed that quercetin-3-rutinoside inhibited the augmenting effects of PDI (WT), but not PDI (H256A), on tissue factor (TF) activity. Quercetin-3-rutinoside also inhibited chemotherapy-induced TF activity enhancement on endothelial cells. Together, our studies show that residue H256 in PDI and the phenoxyl group at position 7 in quercetin-3-rutinoside are essential for inhibition of PDI by quercetin-3-rutinoside. These results provide new insight into the molecular mechanism by which flavonoids block PDI activity.