Integrated Metabolomics and Proteomics Analysis of Urine in a Mouse Model of Posttraumatic Stress Disorder.

Posttraumatic stress disorder (PTSD) is a serious stress disorder that occurs in individuals who have experienced major traumatic events. The underlying pathological mechanisms of PTSD are complex, and the related predisposing factors are still not fully understood. In this study, label-free quantitative proteomics and untargeted metabolomics were used to comprehensively characterize changes in a PTSD mice model. Differential expression analysis showed that 12 metabolites and 27 proteins were significantly differentially expressed between the two groups. Bioinformatics analysis revealed that the differentiated proteins were mostly enriched in: small molecule binding, transporter activity, extracellular region, extracellular space, endopeptidase activity, zymogen activation, hydrolase activity, proteolysis, peptidase activity, sodium channel regulator activity. The differentially expressed metabolites were mainly enriched in Pyrimidine metabolism, D-Glutamine and D-glutamate metabolism, Alanine, aspartate and glutamate metabolism, Arginine biosynthesis, Glutathione metabolism, Arginine, and proline metabolism. These results expand the existing understanding of the molecular basis of the pathogenesis and progression of PTSD, and also suggest a new direction for potential therapeutic targets of PTSD. Therefore, the combination of urine proteomics and metabolomics explores a new approach for the study of the underlying pathological mechanisms of PTSD.

Increased lipid peroxidation by graphene quantum dots induces ferroptosis in macrophages.

Graphene quantum dots (GQDs) are an excellent tool for theranostics, and are widely used in nanomedical applications. The biosafety of GQDs has received abundant attention, but their latent toxicological mechanisms remain inadequately understood. To investigate the cellular and molecular mechanisms underlying graphene-mediated changes, quantitative proteomics and untargeted lipidomics were integrated. We discovered that glutathione peroxidase 4 as a key regulator of ferroptosis, was down-regulated at the protein level by GQDs. Lipidomics profiling with features of ferroptosis was identified in GQDs-treated RAW264.7 macrophages. Furthermore, GQDs exposure was associated with reduced levels of GSH and increased lipid peroxidation. Overexpression of GPX4 in RAW264.7 cells and pre-treatment of a ferroptosis inhibitor Ferrostatin-1 (Fer-1) not only suppressed cell death, but also alleviated lipid peroxidation. Taken together, our results indicated that GQDs exposure induced ferroptosis in RAW264.7 macrophages, and provided essential data for biosafety evaluations of GQDs.

VisTCR: An Interactive Software for T Cell Repertoire Sequencing Data Analysis.

Recent progress in high throughput sequencing technologies has provided an opportunity to probe T cell receptor (TCR) repertoire, bringing about an explosion of TCR sequencing data and analysis tools. For easier and more heuristic analysis TCR sequencing data, we developed a client-based HTML program (VisTCR). It has a data storage module and a data analysis module that integrate multiple cutting-edge analysis algorithms in a hierarchical fashion. Researchers can group and re-group samples for different analysis purposes by customized "Experiment Design File." Moreover, the VisTCR provides a user-friendly interactive interface, by all the TCR analysis methods and visualization results can be accessed and saved as tables or graphs in the process of analysis. The source code is freely available at https://github.com/qingshanni/VisTCR.

Rab32-related antimicrobial pathway is involved in the progression of dextran sodium sulfate-induced colitis.

Inflammatory bowel disease (IBD) is a multifactorial disease involving defective immune responses against invasive microbiota. Genes associated with innate immune responses to microbes have been highlighted in the pathogenesis of IBD. To determine the role of Rab32 in the pathogenesis of IBD, we administered dextran sodium sulfate (DSS) to CD11c+ cell-specific Rab32 knockout (CD11c-Cre+Rab32f/f) mice to induce colitis. Rab32 deficiency in CD11c+ cells resulted in more severe disease progression and increased mortality. Histopathological analysis showed extensive damage to the colon mucosa in DSS-treated CD11c-Cre+Rab32f/f mice, including more severe damage to the epithelial layer and crypts, as well as more inflammatory cell infiltration. The pro-inflammatory cytokines IL1A, IL1B, IL6, and CSF3 and chemokines CXCL1 and CXCL2 were significantly increased, and the frequency of CD11b+Ly6G+ neutrophils was higher in CD11c-Cre+Rab32f/f colitis mice. Furthermore, CD11c+ cells deficient for Rab32 exhibited a significant increase in bacterial translocation in inflamed colon tissue. The present data demonstrate that Rab32 knockout in CD11c+ cells aggravates the development of DSS-induced colitis and suggest that the Rab32-related antimicrobial pathway is involved in the pathogenesis of IBD.

Feasibility of urinary microRNA profiling detection in intrahepatic cholestasis of pregnancy and its potential as a non-invasive biomarker.

Intrahepatic cholestasis of pregnancy (ICP), a pregnancy-related liver disease, leads to complications for both mother and fetus. Circulating microRNAs (miRNAs) have emerged as candidate biomarkers for many diseases. So far, the circulating miRNAs profiling of ICP has not been investigated. To assess the urinary miRNAs as non-invasive biomarkers for ICP, a differential miRNA profiling was initially analyzed by individual quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) assay in urinary samples from a screening set including 10 ICP and 10 healthy pregnancies. The selected candidate miRNAs were then validated by a validation set with 40 ICP and 50 healthy pregnancies using individual qRT-PCR assay. Compared with the expression in urine of healthy pregnant women, the expression levels of hsa-miR-151-3p and hsa-miR-300 were significantly down-regulated, whereas hsa-miR-671-3p and hsa-miR-369-5p were significantly up-regulated in urine from ICP patients (p < 0.05 and false discovery rate < 0.05). A binary logistic regression model was constructed using the four miRNAs. The area under the receiver operating characteristic curve was 0.913 (95% confidence interval = 0.847 to 0.980; sensitivity = 82.9%, specificity = 87.0%). Therefore, urinary microRNA profiling detection in ICP is feasible and maternal urinary miRNAs have the potential to be non-invasive biomarkers for the diagnosis of ICP.