Catestatin Enhances Neuropathic Pain Mediated by P2X4 Receptor of Dorsal Root Ganglia in a Rat Model of Chronic Constriction Injury

Background/Aims: Neuropathic pain (NPP) is the consequence of a number of central nervous system injuries or diseases. Previous studies have shown that NPP is mediated by P2X4 receptors that are expressed on satellite glial cells (SGCs) of dorsal root ganglia (DRG). Catestatin (CST), a neuroendocrine multifunctional peptide, may be involved in the pathogenesis of NPP. Here, we studied the mechanism through which CST affects NPP. Methods: We made rat models of chronic constriction injury (CCI) that simulate neuropathic pain. Rat behavioral changes were estimated by measuring the degree of hyperalgesia as assessed by the mechanical withdrawal threshold (MWT) and the thermal withdrawal latency (TWL). P2X4 mRNA expression was detected by quantitative real-time reverse transcription-polymerase chain reaction. P2X4 protein level and related signal pathways were assessed by western blot. Additionally, double-labeled immunofluorescence was employed to visualize the correspondence between the P2X4 receptor and glial fibrillary acidic protein. An enzyme-linked immunosorbent assay was performed to determine the concentration of CST and inflammatory factors. Results: CST led to lower MWT and TWL and increased P2X4 mRNA and protein expression on the SGCs of model rats. Further, CST upregulated the expression of phosphor-p38 and phosphor-ERK 1/2 on the SGCs of CCI rats. However, the expression level of phosphor-JNK and phosphor-p65 did not obviously change. Conclusion: Taken together, CST might boost NPP by enhancing the sensitivity of P2X4 receptors in the DRG of rats, which would provide us a novel perspective and research direction to explore new therapeutic targets for NPP

Effects of Combined Elicitors on Tanshinone Metabolic Profiling and SmCPS Expression in Salvia miltiorrhiza Hairy Root Cultures

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Metabolic signatures and potential biomarkers for the diagnosis and treatment of colon cancer cachexia

Cancer cachexia (CAC) is a debilitating condition that often arises from noncachexia cancer (NCAC), with distinct metabolic characteristics and medical treatments. However, the metabolic changes and underlying molecular mechanisms during cachexia progression remain poorly understood. Understanding the progression of CAC is crucial for developing diagnostic approaches to distinguish between CAC and NCAC stages, facilitating appropriate treatment for cancer patients. In this study, we establish a mouse model of colon CAC and categorize the mice into three groups: CAC, NCAC and normal control (NOR). By performing nuclear magnetic resonance (NMR)-based metabolomic profiling on mouse sera, we elucidate the metabolic properties of these groups. Our findings unveil significant differences in the metabolic profiles among the CAC, NCAC and NOR groups, highlighting significant impairments in energy metabolism and amino acid metabolism during cachexia progression. Additionally, we observe the elevated serum levels of lysine and acetate during the transition from the NCAC to CAC stages. Using multivariate ROC analysis, we identify lysine and acetate as potential biomarkers for distinguishing between CAC and NCAC stages. These biomarkers hold promise for the diagnosis of CAC from noncachexia cancer. Our study provides novel insights into the metabolic mechanisms underlying cachexia progression and offers valuable avenues for the diagnosis and treatment of CAC in clinical settings

Studying suicide using proxy-based data: reliability and validity of a short version scale for measuring quality of life in rural China

Background To evaluate the reliability and validity of the short version six-item Quality of Life Scale (QOLS-6) and the consistency of subject-proxy data in a case-control psychological autopsy study on elderly suicide in rural China. Methods A two-stage stratified cluster sampling method was used to select research sites. We used self-administered questionnaires to collect proxy-based information from informants and subject-based information from living comparisons. Results A total of 242 pairs of suicide cases and living comparisons were selected in our research. Subject-proxy consistency for QOLS-6 was good (Intraclass correlation coefficient (ICC) was 0.688) in living controls. Good internal consistency of QOLS-6 was validated by Cronbach’s α being greater than 0.6 among suicide cases and living comparisons. The mean scores of quality of life were lower among suicide cases than living controls. Quality of life was negatively correlated with depression, loneliness, hopelessness, impulsiveness and stressful life events, while it was positively correlated with activities of daily living and family function. Conclusions QOLS-6 has good reliability and validity, which can be used for assessing quality of life among Chinese rural older adults. It is shorter and easier than any other scale for measuring quality of life and can be used as a screening tool in future studies

Preparation and Performance Study of Large Volume Foamed Lightweight Soil for an Intelligent Networked Vehicle Test Site

The foamed lightweight soil (FLS) with superior performance was prepared to be used as a subgrade filling material in an intelligent networked vehicle test site. The production process of practical engineering FLS is simulated in the laboratory. The performance of the prepared FLS is the same as that of practical engineering. The test results show that the FLS prepared with 30% cement, 30% granulated blast furnace slag, and 40% fly ash as cementing material has a flow factor of 175 mm. It has good fluidity and is easy to pump. Wet density reaches 593 kg/m3 within the range of the control index of 600 ± 30 kg/m3. The compressive strength of 7 d and 28 d reaches 0.82 MPa and 1.90 MPa, respectively, which is higher than the design strength of 0.5 MPa and 1.0 MPa. Compared with FLS made of pure cement as a cementing material, the FLS has a low heat of hydration, good volume stability, no cracks on the surface, excellent sulfate resistance, good economy, and low carbon characteristics. In the meantime, it can reduce 70% CO2 emissions in cement production. The advanced vehicle-mounted mobile intelligent control system is flexible and convenient in actual engineering construction. It can display the wet density of FLS online, which is easy to adjust and control to ensure the quality stability of FLS