[Apoptosis of hepatocellular induced by active ingredients of Zanthoxyli Radix by Raman spectroscopy].

The apoptosis of mono-hepatocellular induced by the active ingredients of the Zanthoxyli Radix was investigated using laser Raman spectroscopy. Hepatoma cells (BEL-7404) were treated with 10 mg•L⁻¹ nitidine chloride and 3 g•L⁻¹ the extracts of Zanthoxyli Radix, respectively, then were divided into two parts, one for fluorescence staining, the other for determination of Raman spectroscopy. The acquired spectra were then processed by background elimination, smoothing, and normalization. Fluorescence staining results showed that the nucleuses from untreated group were uniformly stained, while those from the group treated for 48 hours were densely stained and broken. The spectra results revealed that the intensity of peaks associated with nucleic acid and protein decreased after the cells were incubated with the extracts of Zanthoxyli Radix for 12, 24, 36 and 48 hours. The intensity of peaks at 785,1 002,1 175,1 660 cm⁻¹ was decreased with the time of the cells were incubated by the extracts of Zanthoxyli Radix. The results indicated that the extracts of Zanthoxyli Radix could induce the apoptosis of hepatoma cells and reduce the amount of nucleic acid and protein in the cells. There is a certain relevance between the drug treatment time and the efficacy. The above results suggest that Raman spectra can provide abundant information about the changes in biological macromolecules within the cells after incubated by the extracts of Zanthoxyli Radix and serve as an effective method for the real time measurement of apoptosis.

Investigation of contemporary college students' mental health status and construction of a risk prediction model.

BACKGROUND: Due to academic pressure, social relations, and the change of adapting to independent life, college students are under high levels of pressure. Therefore, it is very important to study the mental health problems of college students. Developing a predictive model that can detect early warning signals of college students' mental health risks can help support early intervention and improve overall well-being. AIM: To investigate college students' present psychological well-being, identify the contributing factors to its decline, and construct a predictive nomogram model. METHODS: We analyzed the psychological health status of 40874 university students in selected universities in Hubei Province, China from March 1 to 15, 2022, using online questionnaires and random sampling. Factors influencing their mental health were also analyzed using the logistic regression approach, and R4.2.3 software was employed to develop a nomogram model for risk prediction. RESULTS: We randomly selected 918 valid data and found that 11.3% of college students had psychological problems. The results of the general data survey showed that the mental health problems of doctoral students were more prominent than those of junior college students, and the mental health of students from rural areas was more likely to be abnormal than that of urban students. In addition, students who had experienced significant life events and divorced parents were more likely to have an abnormal status. The abnormal group exhibited significantly higher Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 scores than the healthy group, with these differences being statistically significant (P < 0.05). The nomogram prediction model drawn by multivariate analysis included six predictors: The place of origin, whether they were single children, whether there were significant life events, parents' marital status, regular exercise, intimate friends, and the PHQ-9 score. The training set demonstrated an area under the receiver operating characteristic (ROC) curve (AUC) of 0.972 [95% confidence interval (CI): 0.947-0.997], a specificity of 0.888 and a sensitivity of 0.972. Similarly, the validation set had a ROC AUC of 0.979 (95%CI: 0.955-1.000), with a specificity of 0.942 and a sensitivity of 0.939. The H-L deviation test result was χ2 = 32.476, P = 0.000007, suggesting that the model calibration was good. CONCLUSION: In this study, nearly 11.3% of contemporary college students had psychological problems, the risk factors include students from rural areas, divorced parents, non-single children, infrequent exercise, and significant life events.

Inhibition of acid sensing ion channels by eugenol in rat trigeminal ganglion neurons.

Eugenol is widely used as an analgesic in the dental treatment. The underlying mechanisms may involve its modulation of various ion channels. Acid-sensing ion channels (ASICs) are pH sensors and expressed in trigeminal ganglion (TG) neurons. In the present study, we found that eugenol concentration-dependently inhibited ASIC currents in TG neurons with an IC50 of 98.8 ± 7.4 µM. Eugenol decreased the maximum response to acidic pH and did not alter pH0.5 in the concentration-response curve of acidic pH, suggesting a noncompetitive inhibition of ASICs by eugenol. G-proteins were not involved in eugenol-induced inhibition, since pre-application of eugenol also decreased ASIC currents in the presence of the G-protein blocker GDP-ß-S. In addition, eugenol also partly inhibited ASIC3 currents in Chinese hamster ovary cells transfected with ASIC3. In conclusion, eugenol partly inhibited ASIC currents in TG neurons in a concentration-dependent, non-competitive and G-protein independent manner. These results suggested that the ASICs could be a molecular target for eugenol in TG neurons, which contributed to its analgesic effect.

[Calibration methods of infrared spectra for geographical origins determination of Radix Zanthoxyli].

The instrument and the experimental environment influence the infrared spectra, which may limited the identification of the samples by a prediction model. Based on the Fourier transform infrared spectroscopy (FTIR) technology, the authors performed different infrared spectral calibration methods for Radix Zanthoxyli geographical origins determination, the SIMCA was used to establish an identification models, and the model was used to distinguish samples from four different regions of Guangxi. According to the result of prediction, the authors could obtain the most suitable calibration method for the identification model. The results showed that, respectively, by the multiple scattering correction and standard normal variation, their PCA data distribution and the distance between models is ideal, suggesting that we can eliminate the interference from the environmental and human factors by these two correction methods, and also separate each samples of different habitats. The test using the method to measure the geographical origins of Radix Zanthoxyli proved that the recognition rate and rejection rate are both at or near 100%. Visible, and both the multiplicative scatter correction and the standard normal variation are all the ideal calibration methods for Radix Zanthoxyli infrared spectral geographical origins determination.

[Application of two FTIR pattern recognition methods to the Zanthoxylum nitidum geographical origins determination].

In the present work, the authors explored a rapid method of the Zanthoxylum nitidum geographical origins determination. Based on Fourier transform infrared spectroscopy (FTIR) technology, the band of 1 800-400 cm(-1) which is the IR fingerprint of Zanthoxylum nitidum, the Fisher ratio and the soft independent modeling of class analogies (SIMCA) were used to build a classification model. Respectively, four kinds of Zanthoxylum nitidum in the Guangxi region were detected by the model, and the model was verified by calculating their recognition rate and rejection rate. The results show that the authors can accurately extract the overall information of Chinese herbal medicines by using the FTIR, also established a pattern recognition model to predict unknown samples, and obtained satisfactory recognition rate and rejection rate, indicating that the model has stronger ability of identification. The detection on real time was carried out rapidly with the Fisher model, suggesting that the model has more practical value.

MiR-199a-3p modulates the function of dendritic cells involved in transplantation tolerance by targeting CD86.

Dendritic cells (DCs) are key components of the immune system, serving as antigen-presenting cells to activate adaptive immunity. Whereas mature DCs promote immune responses, immature DCs induce or maintain immunological tolerance by downregulating T-cell responses. Therefore, DCs are potent antigen (Ag)-presenting cells in the immune system. MicroRNAs are noncoding RNAs that posttranscriptionally regulate mRNA by binding the 3'-untranslated region (UTR) of these molecules, modulating their expression. Many recent studies have suggested a potential role of miRNAs in DCs maturation and differentiation, but the exact mechanisms governing this process are unclear. How and whether miR-199a-3p affects DC maturation has not been investigated. Here, we found that MiR-199a-3p levels are correlated with DC maturation, inflammatory cytokine secretion, and PI3K/AKT/NF-κB signaling pathway activity. In addition, we analyzed the stimulation of regulatory T-cells by DCs. Through this work, we determined CD86 to be targeted by miR-199a-3p, thereby linking it to DC maturation. miR-199a-3p therefore directly inhibits CD86 expression via 3'-UTR targeting, subsequently prolonging allograft survival in a mouse heart transplantation model. miR-199a-3p over-expression may therefore be a potential therapeutic strategy for use in organ transplantation or patients with autoimmune diseases.

Tumor-derived transforming growth factor-ß is critical for tumor progression and evasion from immune surveillance.

Tumors have evolved numerous mechanisms by which they can escape from immune surveillance. One of these is to produce immunosuppressive cytokines. Transforming growth factor-ß(TGF-ß) is a pleiotropic cytokine with a crucial function in mediating immune suppression, especially in the tumor microenvironment. TGF-ß produced by T cells has been demonstrated as an important factor for suppressing antitumor immune responses, but the role of tumor-derived TGF-ß in this process is poorly understood. In this study, we demonstrated that knockdown of tumor-derived TGF-ß using shRNA resulted in dramatically reduced tumor size, slowing tumor formation, prolonging survival rate of tumor-bearing mice and inhibiting metastasis. We revealed possible underlying mechanisms as reducing the number of myeloid-derived suppressor cells (MDSC) and CD4+Foxp3+ Treg cells, and consequently enhanced IFN-γ production by CTLs. Knockdown of tumor-derived TGF-ß also significantly reduced the conversion of naive CD4+ T cells into Treg cells in vitro. Finally, we found that knockdown of TGF-ß suppressed cell migration, but did not change the proliferation and apoptosis of tumor cells in vitro. In summary, our study provided evidence that tumor-derived TGF-ß is a critical factor for tumor progression and evasion of immune surveillance, and blocking tumor-derived TGF-ß may serve as a potential therapeutic approach for cancer.