Vascular calcification is highly prevalent in patients with chronic kidney disease. Increased plasma trimethylamine N-oxide (TMAO), a gut microbiota-dependent product, concentrations are found in patients undergoing hemodialysis. However, a clear mechanistic link between TMAO and vascular calcification is not yet established. In this study, we investigate whether TMAO participates in the progression of vascular calcification using in vitro, ex vivo, and in vivo models. Approach and Results: Alizarin red staining revealed that TMAO promoted calcium/phosphate-induced calcification of rat and human vascular smooth muscle cells in a dose-dependent manner, and this was confirmed by calcium content assay. Similarly, TMAO upregulated the expression of bone-related molecules including Runx2 (Runt-related transcription factor 2) and BMP2 (bone morphogenetic protein-2), suggesting that TMAO promoted osteogenic differentiation of vascular smooth muscle cells. In addition, ex vivo study also showed the positive regulatory effect of TMAO on vascular calcification. Furthermore, we found that TMAO accelerated vascular calcification in rats with chronic kidney disease, as indicated by Mico-computed tomography analysis, alizarin red staining and calcium content assay. By contrast, reducing TMAO levels by antibiotics attenuated vascular calcification in chronic kidney disease rats. Interestingly, TMAO activated NLRP3 (nucleotide-binding domain, leucine-rich-containing family, pyrin domain-containing-3) inflammasome and NF-κB (nuclear factor κB) signals during vascular calcification. Inhibition of NLRP3 inflammasome and NF-κB signals attenuated TMAO-induced vascular smooth muscle cell calcification.This study for the first time demonstrates that TMAO promotes vascular calcification through activation of NLRP3 inflammasome and NF-κB signals, suggesting the potential link between gut microbial metabolism and vascular calcification. Reducing the levels of TMAO could become a potential treatment strategy for vascular calcification in chronic kidney disease.
Aim To develop and validate a CpG-based classifier for preoperative discrimination of early and advanced-late stage colorectal cancer (CRC). Methods We identified an epigenetic signature based on methylation status of multiple CpG sites (CpGs) from 372 subjects in The Cancer Genome Atlas (TCGA) CRC cohort, and an external cohort (GSE48684) with 64 subjects by LASSO regression algorithm. A classifier derived from the methylation signature was used to establish a multivariable logistic regression model to predict the advanced-late stage of CRC. A nomogram was further developed by incorporating the classifier and some independent clinical risk factors, and its performance was evaluated by discrimination and calibration analysis. The prognostic value of the classifier was determined by survival analysis. Furthermore, the diagnostic performance of several CpGs in the methylation signature was evaluated. Results The eight-CpG-based methylation signature discriminated early stage from advanced-late stage CRC, with a satisfactory AUC of more than 0.700 in both the training and validation sets. This methylation classifier was identified as an independent predictor for CRC staging. The nomogram showed favorable predictive power for preoperative staging, and the C-index reached 0.817 (95% CI: 0.753–0.881) and 0.817 (95% CI: 0.721–0.913) in another training set and validation set respectively, with good calibration. The patients stratified in the high-risk group by the methylation classifier had significantly worse survival outcome than those in the low-risk group. Combination diagnosis utilizing only four of the eight specific CpGs performed well, even in CRC patients with low CEA level or at early stage. Conclusions Our classifier is a valuable predictive indicator that can supplement established methods for more accurate preoperative staging and also provides prognostic information for CRC patients. Besides, the combination of multiple CpGs has a high value in the diagnosis of CRC.
Background: Alzheimer's disease (AD) is a gradual neurodegenerative ailment that lacks any disease-modifying intervention. Our objective was to pinpoint pharmacological targets with a focus on amyloid beta (Aβ) and tau to treat and prevent AD.Methods: We extracted summary-level data on circulating protein levels from nine extensive studies on protein quantitative trait loci. Subsequently, a proteome-wide mendelian randomization (MR) analysis was carried out to estimate the associations between proteins and fluid (CSF) Aβ-42 and phosphorylated Tau (p-Tau). We utilized colocalization and MR analysis to investigate whether the identified proteins were associated with the risk of AD. Additionally, we expanded our investigation to include non-AD phenotypes by conducting a phenome-wide MR analysis of 1,646 disease traits based on the FinnGen and UK Biobank databases to explore potential side effects.Results: After Bonferroni correction, we identified 11 proteins that were genetically associated with both CSF Aβ-42 and p-Tau levels. The genetically predicted levels of three proteins, GAL3ST2, POLR1C, and BIN1, were found to be associated with an increased risk of AD with high colocalization. In the phenome-wide MR analysis, two out of the three biomarkers were associated with at least one disease, except for GAL3ST2, which was not associated with any disease under the threshold of FDR < 0.1. POLR1C was found to be associated with the most disease traits, and all disease associations with genetically inhibited BIN1 were protective.Conclusions: The proteome-wide MR investigation revealed 11 proteins that were associated with the level of CSF Aβ-42 and p-Tau. Among them, GAL3ST2, POLR1C, and BIN1 were identified as potential therapeutic targets for AD and warrant further investigation.Funding: This work was supported by grants from the National Natural Science Foundation of China (82271234, 82060219); Jiangxi Province thousands of Plans (jxsq2019201023); Natural Science Foundation of Jiangxi Province (20212ACB216009, 20212BAB216048); Youth Team Project of the Second Affiliated Hospital of Nanchang University (2019YNTD12003).Declaration of Interest: The authors declare that there is no conflict of interest regarding the publication of this paper.Ethical Approval: This genetic association study exclusively relied on published summary data from studies involving human participants who had provided written informed consent and received approval from their respective institutional ethics review committees.
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