Objective: To construct a scientific and perfect evaluation index system of infectious disease prevention and control ability in colleges and universities, so as to provide reference tools for colleges and universities to effectively respond to infectious disease. Methods: The initial framework of the evaluation index system of infectious disease prevention and control ability in colleges and universities was constructed by using literature analysis method. Experts familiar with infectious disease prevention and control or school health work were selected to conduct two rounds( n =16，18) of Delphi expert consultation for determining the evaluation index system. Analytical hierarchy process was used to calculate the index weights and combined weights. About 198 prevention and control personnel were conveniently selected from 3 universities in Inner Mongolia Autonomous Region to comprehensively evaluate the evaluation indicators by using fuzzy comprehensive evaluation method. Results: After two rounds of Delphi consultation questionnaire, the effective recovery rates were 80.0% and 90.0%, the expert authority levels were 0.89 and 0.86, the expert harmony coefficients for Kendall W were 0.166 and 0.310, and the variation coefficient of each index was <0.25. Finally, the evaluation index system of infectious disease prevention and control ability of colleges and universities included 4 first level indicators, 14 second level indicators and 75 third level indicators. The weights of prevention and monitoring and early warning, organizational system guarantee, emergency management, rehabilitation and summary were 0.176, 0.476, 0.268 and 0.080, respectively. The top 3 weights of the secondary indexes were 0.623 for infectious disease surveillance and early warning, 0.595 for loss assessment and 0.370 for emergency response. The score of fuzzy comprehensive evaluation of the index system of infectious disease prevention and control ability in colleges and universities was 79.148, suggesting a high level. Conclusion The established evaluation index system of infectious disease prevention and control ability in colleges and universities is scientific and reasonable, which is conducive to provide tool reference for the evaluation of infectious disease prevention and control ability in colleges and universities.

OBJECTIVE To investigate the effects of metformin （Met） on liver injury in non-alcoholic steatohepatitis （NASH） rats by regulating the PI3K/AKT/PDGF signaling pathway. METHODS NASH model was constructed by feeding rats with a high- glucose and high-fat diet， and assigned into Model group， Met low-dose group （Met-L group， 100 mg/kg）， Met medium-dose group （Met-M group， 200 mg/kg）， Met high-dose group （Met-H group， 400 mg/kg）， and high dose of Met+PI3K activator group （Met-H+740 Y-P group， 400 mg/kg Met+50 mg/kg 740 Y-P）， with 12 rats in each group. Another 12 rats were regarded as the Control group. Each group of rats was orally administered/injected with the corresponding medication once a day for 6 consecutive weeks. The changes in body weight and liver index of rats were recorded and analyzed. The pathological damage [evaluation of non-alcoholic fatty liver disease activity score （NAS）]， lipid deposition （calculation of the proportion of oil red O-positive staining area）， and fibrosis （calculation of collagen deposition score） were observed in liver tissue of rats. The levels of inflammatory factors [interleukin-6 （IL-6） and tumor necrosis factor-α （TNF-α）] in serum and liver tissue， the levels of serum lipid metabolism indicators [total cholesterol （TC）， triglyceride （TG）， and low-density lipoprotein cholesterol （LDL-C）] and liver function indicators [aspartate aminotransferase （AST） and alanine Δ 基金项目 武汉市知识创新专项项目（No.2022020801010588）； aminotransferase （ALT）] were measured. The expression levels of PI3K/AKT/PDGF signaling pathway-related proteins and Caspase-3 in liver tissue of rats were determined. RESULTS Compared with the Control group， body weight， liver index， the levels of serum lipid metabolism indicators and liver function indicators， the levels of IL-6 and TNF-α in serum and liver tissue， the NAS， the proportion of oil red O-positive staining area， the collagen deposition fraction， and the levels of phosphorylated PI3K and AKT proteins， as well as the expression levels of PDGF and Caspase-3 proteins in liver tissue， were all significantly increased （P＜0.05）. The liver tissue showed severe pathological damage， characterized by an abundance of lipid droplets and pronounced collagen deposition. After the intervention with Met， the aforementioned quantitative indicators and pathological changes in rats were significantly improved in a dose- dependent manner （P＜0.05）. 740 Y-P could reverse the improvement effects of high dose of Met on the above indexes of rats （P＜ 0.05）. CONCLUSIONS Met can improve liver damage， and alleviate inflammatory reactions and liver fibrosis of NASH rats， the mechanism of which may be associated with inhibiting PI3K/AKT/PDGF signaling pathway.

ObjectiveTo investigate the mechanism of Buzhong Yiqitang in attenuating cisplatin resistance in non-small cell lung cancer by observing the effects of Buzhong Yiqitang on endoplasmic reticulum stress-related molecules in human lung adenocarcinoma cells （A549） and cisplatin-resistant cells in human lung adenocarcinoma cells （A549/DDP） via the nuclear factor E₂-related factor 2（Nrf2）/reactive oxygen species（ROS） pathway. MethodsThe serum containing Buzhong Yiqitang was prepared and A549 cells and A549/DDP cells were cultured. The cells were randomized into groups A （A549 cells+blank serum）， B （A549 cells+20 mg·L^-1 cisplatin+blank serum）， C （A549 cells+20 mg·L^-1 cisplatin+10% Buzhong Yiqitang-containing serum）， D （A549/DDP cells+blank serum）， E （A549/DDP cells+20 mg·L^-1 cisplatin+blank serum）， and F （A549/DDP cells+20 mg·L^-1 cisplatin+10% Buzhong Yiqitang-containing serum）. The cell counting kit-8 （CCK-8） method was used to detect the half maximal inhibitory concentration （IC₅₀） of cisplatin. The protein levels of Nrf2 and p-Nrf2 were determined by Western blotting. The DCFH-DA fluorescent probe was used to measure the content of reactive oxygen species （ROS） in each group. The protein levels of glucose-regulated protein 78 （GRP78）， activated transcription factor 6 （ATF6）， and C/EBP-homologous protein （CHOP） were determined by Western blot. ResultsCompared with group B， group C showed a reduction in IC₅₀ of cisplatin （P<0.05）， which held true in group E compared with group F （P<0.05）. Moreover， the IC₅₀ of cisplatin to A549/DDP cells was higher than that to A549 cells before and after Buzhong Yiqitang intervention （P<0.05）. Compared with group A， group B showed up-regulated protein levels of Nrf2 and p-Nrf2 （P<0.05）. Compared with group B， group C showed down-regulated protein levels of Nrf2 and p-Nrf2 （P<0.05）. Compared with group D， group E showed up-regulated protein levels of Nrf2 and p-Nrf2 （P<0.05）， which， however， were significantly down-regulated in group F （P<0.05）. The ROS content and the protein levels of GRP78， ATF6， and CHOP followed a descending trend of group C > group B > group A in A549 cells and group F > group E > group D in A549/DDP cells （P<0.05）. Moreover， the ROS content and the protein levels of GRP78， ATF6， and CHOP in A549 cells were higher than those in A549/DDP cells before and after Buzhong Yiqitang intervention （P<0.05）. ConclusionBuzhong Yiqitang may regulate endoplasmic reticulum stress via the Nrf2/ROS pathway to attenuate cisplatin resistance in non-small cell lung cancer.

Biomolecular condensates are formed through phase separation of biomacromolecules such as proteins and RNAs. These condensates exhibit liquid-like properties that can futher transition into more stable material states. They form complex internal structures via multivalent weak interactions, enabling precise spatiotemporal regulations. However, the use of inconsistent and non-standardized terminology has become increasingly problematic, hindering academic exchange and the dissemination of scientific knowledge. Therefore, it is necessary to discuss the terminology related to biomolecular condensates in order to clarify concepts, promote interdisciplinary cooperation, enhance research efficiency, and support the healthy development of this field.

ObjectiveTo investigate the effects of different fermentation methods and times on the fungal flora and chemical composition of Aurantii Fructus， in order to obtain the optimal fermentation conditions and flora structure， and to ensure the stability and controllability of the fermented varieties. MethodsScanning electron microscopy was used to observe and analyze the colony characteristics on the surface of Aurantii Fructus under different fermentation conditions. Internal transcribed spacer 2（ITS2） high-throughput sequencing， combined with fungal community diversity analysis and fungal community structure analysis， were used to obtain the fungal flora microbial categories of Aurantii Fructus under the conditions of traditional pressure-shelf fermentation and non-pressure-shelf natural fermentation for 7， 14， 21 d（numbered Y1-Y3 for the former， and numbered F1-F3 for the latter）， respectively. At the same time， the chemical components in the fermentation process were detected by ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS）， combined with principal component analysis（PCA）， partial least squares-discriminant analysis（PLS-DA） and compound retention time， parent ions， characteristic fragment ions and other information， the differential compounds between the different fermentation samples were screened and identified. ResultsThe analysis of fungal community diversity showed that the dominant flora did not change at different fermentation time points in the traditional pressure-shelf fermentation method， while in the non-pressure-shelf natural fermentation method， there was a significant difference with the fermentation process， and at the genus level， the dominant genus of samples Y1， Y2， Y3 and F2 was Aspergillus， while the dominant genera of samples F1 and F3 were both Rhizopus. This indicated that the microbial growth environment provided by the traditional fermentation method was more stable， and the microbial community structure was more stable， which was more conducive to the stable and controllable fermentation process and fermented products. A total of 155 compounds were identified by compositional analysis， including 70 flavonoids， 38 coumarins， 10 alkaloids， 34 organic acids and 3 other compounds. After fermentation， two new components of ribalinine and pranferin were produced. Different fermentation conditions also brought about differences in chemical composition， multivariate statistical analysis obtained 26 differential compounds under two different fermentation methods， mainly including flavonoids， organic acids and coumarins. Comprehensively， the microbial community structure of samples fermented by the traditional pressure-shelf method of Aurantii Fructus for 14 d was stable， the species richness was high and the overall content of differential compounds was high， which was the optimal processing condition. ConclusionCompared with non-pressure-shelf natural fermentation， the traditional method has obvious advantages in terms of the stability of the microbial community structure and the content of chemical compounds， and the optimal condition is 14 days of fermentation. This study is helpful to promote the quality stability and fermentation bioavailability of fermented products of Aurantii Fructus， as well as to provide an experimental basis for the further improvement of the quality control methods of this variety.

ObjectiveTo investigate the effects of different fermentation methods and times on the fungal flora and chemical composition of Aurantii Fructus， in order to obtain the optimal fermentation conditions and flora structure， and to ensure the stability and controllability of the fermented varieties. MethodsScanning electron microscopy was used to observe and analyze the colony characteristics on the surface of Aurantii Fructus under different fermentation conditions. Internal transcribed spacer 2（ITS2） high-throughput sequencing， combined with fungal community diversity analysis and fungal community structure analysis， were used to obtain the fungal flora microbial categories of Aurantii Fructus under the conditions of traditional pressure-shelf fermentation and non-pressure-shelf natural fermentation for 7， 14， 21 d（numbered Y1-Y3 for the former， and numbered F1-F3 for the latter）， respectively. At the same time， the chemical components in the fermentation process were detected by ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS）， combined with principal component analysis（PCA）， partial least squares-discriminant analysis（PLS-DA） and compound retention time， parent ions， characteristic fragment ions and other information， the differential compounds between the different fermentation samples were screened and identified. ResultsThe analysis of fungal community diversity showed that the dominant flora did not change at different fermentation time points in the traditional pressure-shelf fermentation method， while in the non-pressure-shelf natural fermentation method， there was a significant difference with the fermentation process， and at the genus level， the dominant genus of samples Y1， Y2， Y3 and F2 was Aspergillus， while the dominant genera of samples F1 and F3 were both Rhizopus. This indicated that the microbial growth environment provided by the traditional fermentation method was more stable， and the microbial community structure was more stable， which was more conducive to the stable and controllable fermentation process and fermented products. A total of 155 compounds were identified by compositional analysis， including 70 flavonoids， 38 coumarins， 10 alkaloids， 34 organic acids and 3 other compounds. After fermentation， two new components of ribalinine and pranferin were produced. Different fermentation conditions also brought about differences in chemical composition， multivariate statistical analysis obtained 26 differential compounds under two different fermentation methods， mainly including flavonoids， organic acids and coumarins. Comprehensively， the microbial community structure of samples fermented by the traditional pressure-shelf method of Aurantii Fructus for 14 d was stable， the species richness was high and the overall content of differential compounds was high， which was the optimal processing condition. ConclusionCompared with non-pressure-shelf natural fermentation， the traditional method has obvious advantages in terms of the stability of the microbial community structure and the content of chemical compounds， and the optimal condition is 14 days of fermentation. This study is helpful to promote the quality stability and fermentation bioavailability of fermented products of Aurantii Fructus， as well as to provide an experimental basis for the further improvement of the quality control methods of this variety.

Objective To investigate the effects and related mechanisms of mitochondrial-derived peptide MOTS-c on glycochenodeoxycholic acid (GCDCA)-induced injury in human hepatocytes (THLE-3 cells). Methods THLE-3 cells were cultured in vitro and treated with different concentrations of GCDCA and MOTS-c. The optimal concentrations of GCDCA and MOTS-c were determined by cell counting kit (CCK)-8 method. Subsequently, THLE-3 cells were treated or pre-treated with GCDCA (200 µmol/L), MOTS-c (15, 30, 60 µmol/L), the multidrug resistance protein 2 (MRP2) inhibitor Probenecid (500 µmol/L), and the nuclear factor erythroid 2-related factor 2 (Nrf2) inhibitor ML385 (10 µmol/L). Cell proliferation was assessed by CCK-8 method. Lactate dehydrogenase (LDH) levels in the culture medium were measured by biochemical method. Cell apoptosis rates were determined by flow cytometry. MRP2 messenger RNA (mRNA) levels were detected by real-time quantitative polymerase chain reaction (RT-qPCR). MRP2 and Nrf2 protein expression levels were analyzed by Western blotting. Results As the concentration of GCDCA increased, the proliferation activity of THLE-3 cells gradually decreased, while LDH activity in the culture medium and apoptosis levels increased, and the expression levels of MRP2 in the cells decreased (all P<0.05). Treatment with 30 and 60 µmol/L MOTS-c significantly enhanced the proliferation activity of THLE-3 cells exposed to GCDCA, upregulated the expression of MRP2 and Nrf2, and reduced LDH activity and apoptosis levels (all P<0.05). Co-treatment with Probenecid partially reversed the protective effects of MOTS-c on GCDCA-induced THLE-3 cells injury, while co-treatment with ML385 partially inhibited the induction of MRP2 expression by MOTS-c in THLE-3 cells exposed to GCDCA. Conclusions MOTS-c may alleviate GCDCA-induced injury in human hepatocytes (THLE-3 cells), and its mechanism may be related to the upregulation of MRP2 expression mediated by Nrf2.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

ObjectiveTo investigate the protective effect and mechanism of action of flavonoid combination of Alpiniae Officinarum Rhizoma （A. officinarum） against Helicobacter pylori （H. pylori） gastritis in mice. MethodsAfter acclimatization for one week， 56 SPF-grade healthy C57BL/6J mice were gavaged with mixed antibiotics for three consecutive days. They were randomly divided into a normal group， model group， positive drug group （triple therapy group）， and low- and high-dose groups （100， 200 mg·kg^-1） of flavonoid combination of A. officinarum. The H. pylori gastritis mice model was established by gavage with H. pylori bacterial suspension in each group except for the normal group. After successful modeling， mice were administrated with corresponding drugs once a day for two weeks. Hematoxylin-eosin （HE） staining was used to observe the pathological changes in gastric tissue. Rapid urease test paper was used to detect the positive rate of H. pylori. Silver staining was used to observe the H. pylori adherence on the surface of gastric tissue. Immunohistochemistry was used to detect the protein expression of interleukin-8 （IL）-8 and myeloid differentiation factor （MyD88） in gastric tissue. The serum levels of IL-6， tumor necrosis factor-α （TNF-α）， IL-8， and IL-1β were detected by enzyme-linked immunosorbent assay （ELISA）. The expressions of phosphatidylinositol 3-kinase/protein kinase B （PI3K/Akt） protein were detected by Western blot. ResultsCompared with those in the normal group， mice in the model group had lower gastric weight coefficients， higher pH of gastric juice， 100% H. pylori infection rate， and significantly changed gastric histopathology. The expressions of IL-8 and MyD88 proteins in the gastric tissue of mice in the model group were significantly elevated， and the serum levels of inflammatory factors IL-6， TNF-α， IL-8， and IL-1β were significantly up-regulated in mice. Compared with that in the model group， the gastric weight coefficient of mice in each treatment group of the flavonoid combinations of A. officinarum was elevated （P<0.01）， and the pH of gastric juice was reduced （P<0.01）. The infection rate of H. pylori was reduced. The expressions of IL-8 and MyD88 proteins in the gastric tissue of mice in the treatment groups were significantly reduced （P<0.01）， and the serum levels of inflammatory factors IL-6， TNF-α， IL-8， and IL-1β were significantly reduced in a dose-dependent manner （P<0.01）. The flavonoid combinations of A. officinarum down-regulated the expression of PI3K and Akt proteins in H. pylori gastritis-infected cells （P<0.01）. ConclusionThe protective effect of flavonoid combinations of A. officinarum against H. pylori gastritis is associated with the inhibition of H. pylori infection rate and regulation of PI3K/Akt signaling pathway， resulting in inhibiting the release of inflammatory factors.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.