Metabonomics and proteomics were employed to investigate the mechanism of Yuzhi Zhixue Granules in treating polycystic ovary syndrome with insulin resistance(PCOS-IR). The disease model was established by feeding a high-fat diet and gavage of letrozole solution and it was then treated with different doses of Yuzhi Zhixue Granules. The therapeutic effect of Yuzhi Zhixue Granules was evaluated based on the body mass, homeostasis model assessment of insulin resistance and insulin sensitivity index, serum levels of adipokines, and histopathological changes of rats. Metabolomics and proteomics were employed to find the action pathways of Yuzhi Zhixue Granules. The results showed that Yuzhi Zhixue Granules reduced the body mass, improved the insulin sensitivity and aromatase activity, improved the levels of leptin, adiponectin and other adipokines, and alleviated insulin resistance, histopathological changes, and metabolic disorders in PCOS-IR rats. Metabolomics results revealed 14 metabolites with altered levels in the ovarian tissue, which were closely related to glutathione metabolism and pyruvate metabolism. Proteomics results showed that the therapeutic effect of Yuzhi Zhixue Granules was mainly related to the adipokine, adenosine 5'-monophosphate(AMP)-activated protein kinase(AMPK), phosphatidylinositol 3-kinase/protein kinase B(PI3K/Akt), forkhead box protein O(FoxO), and mechanistic target of rapamycin(mTOR) signaling pathways. Western blot results showed that compared with the model group, Yuzhi Zhixue Granules treatment decreased the p-AMPK/AMPK and p-FoxO1/FoxO1 levels, increased the p-mTOR/mTOR level, and up-regulated the expression level of recombinant glucose transporter 4(GLUT4). Yuzhi Zhixue Granules can balance amino acid metabolism and pyruvate metabolism by regulating the AMPK/mTOR/FoxO/GLUT pathway to maintain the homeostasis of the ovarian environment and alleviate insulin resistance, thus treating PCOS-IR.
Animals ; Female ; Insulin Resistance ; Polycystic Ovary Syndrome/genetics* ; Drugs, Chinese Herbal/administration & dosage* ; Rats ; Metabolomics ; Proteomics ; Rats, Sprague-Dawley ; Humans ; Ovary/metabolism* ; Signal Transduction/drug effects*

OBJECTIVE To construct a Seasonal Autoregressive Integrated Moving Average(SARIMA)model based on the incidences of hospital-acquired infections(HAIs),and provide a reference for the prevention and control of HAI in such hospitals.METHODS The incidences of HAIs in a tertiary psychiatric hospital from Jan.2016 to Aug.2024 were collected by the Weining Hospital Infection Information Management software and paper-based HAI reporting cards.The incidence rates from 2016 to 2023 were analyzed and a SARIMA model was established.The incidence rates from Jan.to Aug.2024 were predicted,and the accuracy of the SARIMA model was evaluated based on the actual measured values.RESULTS From 2016 to 2023,a total of 98,075 patients were admitted,including 936 patients who developed HAIs,with an incidence rate of 0.95％ranged from 0.79％to 1.23％.The time series plot from 2016 to 2023 did not meet the requirements for sequence stability.After differ-entiating the original data,analyzing the correlation plot(ACF)and partial autocorrelation plot(PACF),and con-ducting multiple assessments and verifications,it was finally determined that SARIMA(1,1,1)(1,1,1)12,SA-RIM A(1,1,1)(1,1,0)12,ARIMA(1,1,1)(0,1,0)12,and SARIMA(1,1,1)(0,1,1)12 were the alterna-tive models.The Ljung-Box Q test was used to retain the models with P＞0.05 that met the sequence with white noise and the minimum Bayesian Information Criterion(BIC)value was obtained,it was determined that SARIMA(1,1,1)(0,1,1)12 was the optimal model.When validated with Jan.to Aug.2024 HAI incidence data,the infection rates predicted by SARIMA(1,1,1)(0,1,1)12 model remained within the 95％confidence interval,indicating high prediction accuracy.CONCLUSION SARIMA model can effectively predict the monthly HAI incidences in a tertiary psychiatric hospital,and it plays an role in the decision-making of HAI prevention and control in psychiatric inpatients.

OBJECTIVE To construct a Seasonal Autoregressive Integrated Moving Average(SARIMA)model based on the incidences of hospital-acquired infections(HAIs),and provide a reference for the prevention and control of HAI in such hospitals.METHODS The incidences of HAIs in a tertiary psychiatric hospital from Jan.2016 to Aug.2024 were collected by the Weining Hospital Infection Information Management software and paper-based HAI reporting cards.The incidence rates from 2016 to 2023 were analyzed and a SARIMA model was established.The incidence rates from Jan.to Aug.2024 were predicted,and the accuracy of the SARIMA model was evaluated based on the actual measured values.RESULTS From 2016 to 2023,a total of 98,075 patients were admitted,including 936 patients who developed HAIs,with an incidence rate of 0.95％ranged from 0.79％to 1.23％.The time series plot from 2016 to 2023 did not meet the requirements for sequence stability.After differ-entiating the original data,analyzing the correlation plot(ACF)and partial autocorrelation plot(PACF),and con-ducting multiple assessments and verifications,it was finally determined that SARIMA(1,1,1)(1,1,1)12,SA-RIM A(1,1,1)(1,1,0)12,ARIMA(1,1,1)(0,1,0)12,and SARIMA(1,1,1)(0,1,1)12 were the alterna-tive models.The Ljung-Box Q test was used to retain the models with P＞0.05 that met the sequence with white noise and the minimum Bayesian Information Criterion(BIC)value was obtained,it was determined that SARIMA(1,1,1)(0,1,1)12 was the optimal model.When validated with Jan.to Aug.2024 HAI incidence data,the infection rates predicted by SARIMA(1,1,1)(0,1,1)12 model remained within the 95％confidence interval,indicating high prediction accuracy.CONCLUSION SARIMA model can effectively predict the monthly HAI incidences in a tertiary psychiatric hospital,and it plays an role in the decision-making of HAI prevention and control in psychiatric inpatients.

ObjectiveTo clarify the relationship between intestinal flora and intestinal motility in rats with slow transit constipation （STC） and qi stagnation syndrome by conducting a pseudo-sterile experiment and fecal microbiota transplantation （FMT） technology. MethodsTwenty-four Wistar rats were randomly divided into normal group （n=6）， STC with qi stagnation pattern group （n=6） and pseudo-sterile group （n=12）. In the STC group with qi stagnation pattern， 3 mg/kg of loperamide suspension by intragastric administration combined with tail clamping stimulation were performed to establish the rat model of STC with qi stagnation pattern. After successful modeling， fresh feces from the rats in the STC with qi stagnation pattern group and the normal group were collected to prepare 100 mg/ml of fecal bacterial suspension. In the pseudo-sterile group， the antibiotic cocktail method was used （a mixed antibiotic suspension containing bacitracin， streptomycin sulfate， and neomycin sulfate at 20 mg/ml each was administered intragastrically） to establish pseudo-sterile rats model. After successful modeling， the rats were randomly divided into normal fecal bacterial liquid group and STC with qi stagnation pattern fecal bacterial liquid group， with six rats in each group， and then were given 10 ml/kg of the prepared corresponding rat fecal bacterial suspension by gavage. Rats in STC with qi stagnation pattern group were given an equal volume of sterile water by gavage. All groups were administered once a day for 7 consecutive days. The small intestinal propulsion rate of the STC with qi stagnation pattern group， the normal fecal bacterial liquid group， and STC with qi stagnation pattern fecal bacterial liquid group were compared. ELISA method was used to detect serum 5-hydroxytryptamine （5-HT） levels. Immunohistochemistry was used to detect the positive expression levels of 5-hydroxytryptamine 3 receptor （5-HT3R） and 5-hydroxytryptamine 4 receptor （5-HT4R） in colon tissue. Western blot method was used to detect the protein expression levels of tryptophan hydroxylase 1 （TPH1）， tryptophan hydroxylase 2 （TPH2）， serotonin transporter （SERT）， and monoamine oxidase A （MAO-A） in colon tissue. ResultsCompared to those in the normal fecal bacterial liquid group， the small intestinal propulsion rate， serum 5-HT level， positive expression of 5-HT3R and 5-HT4R in colon tissue， and protein expression of TPH1， TPH2， SERT and MAO-A significantly decreased in the STC with qi stagnation pattern group and STC with qi stagnation pattern fecal bacterial liquid group （P＜0.05）. There was no statistically significant difference in the indicators between the STC with qi stagnation pattern group and STC with qi stagnation pattern fecal bacterial liquid group （P＞0.05）. ConclusionThe intestinal flora in STC rats with qi stagnation pattern can lead to a slowdown in intestinal transmission function， whose mechanism may be related to intestinal motility disorders affected by the synthesis， transport， metabolism and other pathways of 5-HT.

The chemical constituents of Chuanzhi Tongluo Capsules were analyzed and identified using ultra-high performance liquid chromatography-quadrupole/electrostatic field orbitrap high-resolution mass spectrometry(UPLC-Q-Exactive Orbitrap-MS) to clarify the pharmacological substance basis. In addition, network pharmacology was employed to explore the mechanism of Chuanzhi Tongluo Capsules in the treatment of cerebral infarction. Gradient elution was performed using acetonitrile and 1% acetic acid in water as the mobile phase. Mass spectrometry was performed in positive and negative ion modes. Xcalibur 4.2 software was used for compound analysis, including accurate mass-to-charge ratio and MS/MS fragment information, combined with the comparison of reference standards and literature data. A total of 152 compounds were identified, including 32 organic acids, 35 flavonoids and their glycosides, 33 diterpenes, 13 phthalides, 12 triterpenes and triterpene saponins, 23 nitrogen-containing compounds, and 4 other compounds, and their fragmentation patterns were analyzed. SwissTargetPrediction, GeneCards, DAVID, and other databases were used to predict and analyze the core targets and mechanism of Chuanzhi Tongluo Capsules. Protein-protein interaction(PPI) network topology analysis identified 10 core targets, including TNF, VEGFA, EGFR, IL1B, and CTNNB1. KEGG enrichment analysis showed that Chuanzhi Tongluo Capsules mainly exerted their effects through the regulation of lipid and atherosclerosis, glycoproteins in cancer, MicroRNAs in cancer, fluid shear stress, and atherosclerosis-related pathways. Molecular docking was performed between the key constituents and core targets, and the results demonstrated a strong binding affinity between the key constituents of Chuanzhi Tongluo Capsules and the core targets. This study comprehensively elucidated the chemical constituents of Chuanzhi Tongluo Capsules and explored the core targets and mechanism in the treatment of cerebral infarction based on network pharmacology, providing a scientific reference for the study of the pharmacological substance basis and formulation quality standards of Chuanzhi Tongluo Capsules.
Humans ; Tandem Mass Spectrometry/methods* ; Chromatography, High Pressure Liquid/methods* ; Molecular Docking Simulation ; Network Pharmacology ; Drugs, Chinese Herbal/pharmacology* ; Capsules ; Atherosclerosis ; Cerebral Infarction ; Neoplasms

The emerging of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused COVID-19 pandemic. The first case of COVID-19 was reported at early December in 2019 in Wuhan City, China. To examine specific antibodies against SARS-CoV-2 in biological samples before December 2019 would give clues when the epidemic of SARS-CoV-2 might start to circulate in populations. We obtained all 88,517 plasmas from 76,844 blood donors in Wuhan between 1 September and 31 December 2019. We first evaluated the pan-immunoglobin (pan-Ig) against SARS-CoV-2 in 43,850 samples from 32,484 blood donors with suitable sample quality and enough volume. Two hundred and sixty-four samples from 213 donors were pan-Ig reactive, then further tested IgG and IgM, and validated by neutralizing antibodies against SARS-CoV-2. Two hundred and thirteen samples (from 175 donors) were only pan-Ig reactive, 8 (from 4 donors) were pan-Ig and IgG reactive, and 43 (from 34 donors) were pan-Ig and IgM reactive. Microneutralization assay showed all negative results. In addition, 213 screened reactive donors were analyzed and did not show obviously temporal or regional tendency, but the distribution of age showed a difference compared with all tested donors. Then we reviewed SARS-CoV-2 antibody results from these donors who donated several times from September 2019 to June 2020, partly tested in a previous published study, no one was found a significant increase in S/CO of antibodies against SARS-CoV-2. Our findings showed no SARS-CoV-2-specific antibodies existing among blood donors in Wuhan, China before 2020, indicating no evidence of transmission of COVID-19 before December 2019 in Wuhan, China.
Humans ; Antibodies, Viral ; Blood Donors ; China/epidemiology* ; COVID-19/immunology* ; Immunoglobulin G ; Immunoglobulin M ; Pandemics ; SARS-CoV-2

The modernization and development of traditional Chinese medicine has led to higher standards for the quality of traditional Chinese medicine products. The extraction process is a crucial component of traditional Chinese medicine production, and it directly impacts the final quality of the product. However, the currently relied upon methods for quality assurance of the extraction process, such as simple wet chemical analysis, have several limitations, including time consumption and labor intensity, and do not offer precise control of the extraction process. As a result, there is significant value in incorporating near-infrared spectroscopy (NIRS) in the production process of traditional Chinese medicine to improve the quality control of the final products. In this study, we focused on the extraction process of Xiao'er Xiaoji Zhike oral liquid (XXZOL), using near-infrared spectra collected by both a Fourier transform near-infrared spectrometer and a portable near-infrared spectrometer. We used the concentration of synephrine, a quality control index component specified by the pharmacopoeia, to achieve rapid and accurate detection in the extraction process. Moreover, we developed a model transfer method to facilitate the transfer of models between the two types of near-infrared spectrometers (analytical grade and portable), thus resolving the low resolution, poor performance, and insufficient prediction accuracy issues of portable instruments. Our findings enable the rapid screening and quality analysis of XXZOL onsite, which is significant for quality monitoring during the traditional Chinese medicine production process.

The present study aimed to explore the regulatory targets and anti-inflammatory mechanism of Jingfang Mixture based on network pharmacology and animal tests. The active ingredients of Jingfang Mixture and the corresponding targets were screened out by the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP). Inflammation-related targets were searched from GeneCards and DisGeNET, and the targets of active ingredients of Jingfang Mixture against inflammation were obtained. The protein-protein interaction(PPI) network was analyzed by STRING and plotted. Gene ontology(GO) function and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analyses were carried out based on DAVID. The results of network pharmacology showed 159 active ingredients and 276 targets of Jingfang Mixture and 664 inflammation-related targets were screened out, and 90 targets of active ingredients of Jingfang Mixture against inflammation were obtained. As revealed by the PPI network, protein kinase B1(AKT1), caspase-3(CASP3), interleukin-1β(IL1 B), prostaglandin-endoperoxide synthase 2(PTGS2), and tumor necrosis factor(TNF) might be the key proteins for the anti-inflammatory effect of Jingfang Mixture. KEGG enrichment analysis demonstrated the pathways involved TNF, nuclear factor-kappa B(NF-κB), and mitogen-activated protein kinase(MAPK). The anti-inflammatory effect of Jingfang Mixture was explored through the mouse model of urticaria. The results indicated that Jingfang Mixture could down-regulate the phosphorylation levels of p38 MAPK, extracellular regulated protein kinases(ERK1/2), and NF-κB. The present study revealed the anti-inflammatory effect of Jingfang Mixture with multi-component and multi-target characteristics, which is expected to provide a scientific basis and important support for further research, development, and application.
Animals ; Mice ; Anti-Inflammatory Agents/therapeutic use* ; Cyclooxygenase 2 ; Drugs, Chinese Herbal/therapeutic use* ; Inflammation/drug therapy* ; Medicine, Chinese Traditional ; Molecular Docking Simulation ; Network Pharmacology ; NF-kappa B/genetics*

This study aims to clarify the effect of Jingfang Mixture on the treatment of chronic urticarial and its mechanism, and investigate the regulatory effect of chronic urticaria on the metabolic disorder of endogenous metabolites in the blood. The mice were randomly divided into normal group, model group, and Jingfang Mixture group, and modeling and administration continued for 21 d. The changes in endogenous small molecules in rat serum were determined by ultra-high performance liquid chromatography-electrospray ionization-Q Exactive-Orbitrap-mass spectrometry(UHPLC-ESI-QE-Orbitrap-MS) metabolomics technology. The change trend of endogenous metabolites in rat serum was analyzed to find potential biomarkers. The results showed that Jingfang Mixture regulate 16 biomarkers, mainly including taurine, glutamate, succinic acid, docosahexaenoic acid, and arachidonic acid. Metabolic pathway analysis was carried out by MetaboAnalyst, and P<0.01 was taken as the potential key metabolic pathway. Ten metabolic pathways were closely related to the treatment of chronic urticarial by Jingfang Mixture, mainly involved in the glutamate metabolism, taurine and hypotaurine metabolism, arginine and proline metabolism, arachidonic acid metabolism, tricarboxylic acid cycle, unsaturated fatty acid biosynthesis, glutathione metabolism, phenylalanine metabolism, alanine, aspartic acid, and glutamate metabolism, and butyric acid metabolism. Glutamate metabolism and butyric acid metabolism involved more metabolic pathways than others. Therefore, it was speculated that Jingfang Mixture had a balanced regulating effect on the related metabolic pathways which caused the serum disorder in the rats with urticaria, and tended to regulate the metabolic differential to the normal level in the rats with urticaria. This paper provides references for studying the mechanism of Jingfang Mixture from the perspective of endogenous metabolites and metabolic pathways in vivo. At the same time, the endogenous substances explored in this paper can be used as important biomarkers for the prevention of urticaria.
Rats ; Mice ; Animals ; Chronic Urticaria ; Arachidonic Acid ; Butyric Acid ; Metabolomics/methods* ; Chromatography, High Pressure Liquid/methods* ; Biomarkers/metabolism* ; Taurine ; Glutamates

Mechanism study was performed to explore how Shouhui Tongbian Capsules promotes energy metabolism of gastrointestinal stromal cells. In this study, gastrointestinal stromal cells line GIST-882 was used as the model to explore energy metabolism regulation effects of Shouhui Tongbian Capsules extract(10, 20, 50 and 100 μg·mL~(-1)) by measuring the cell proliferation, ATP level, mitochondrial membrane potential, and mitochondrial isocitrate dehydrogenase activity. Meanwhile, Western blot was used to detect the proteins expression of SCF/c-Kit and CDK2/cyclin A signaling pathways. Our results showed that Shouhui Tongbian Capsules promoted cell proliferation and increased ATP level of gastrointestinal stromal cells. In addition, Shouhui Tongbian Capsules obviously improved mitochondrial structural integrity, and increased mitochondrial membrane potential in GIST-882 cells. Mechanism study revealed that Shouhui Tongbian Capsules increased mitochondrial isocitrate dehydrogenase activity and up-regulated the proteins expression of SCF/c-Kit and CDK2/cyclin A signaling pathways. Collectively, our study indicated that Shouhui Tongbian Capsules promoted the energy metabolism for gastrointestinal stromal cells proliferation by activating mitochondrial isocitrate dehydrogenase to induce ATP production, as well as activating SCF/c-Kit and CDK2/cyclin A signaling pathways.
Capsules ; Cell Line, Tumor ; Energy Metabolism ; Gastrointestinal Stromal Tumors ; Humans ; Proto-Oncogene Proteins c-kit/metabolism* ; Stromal Cells/metabolism*