ObjectiveTo investigate the protective effect and mechanism of verbenalin on mouse mononuclear macrophage leukemia cells （RAW264.7） damaged by human coronavirus （HCoV）-229E infection， thereby providing experimental evidence for its development and application. MethodsRAW264.7 macrophages were infected with different concentrations of HCoV-229E to establish a coronavirus-induced macrophage injury model using the cell counting kit-8 （CCK-8） assay for assessing cell proliferation and viability. Cells were randomly divided into four groups： normal control， verbenalin group （125 μmol·L^-1）， model group （HCoV-229E）， and HCoV-229E + verbenalin group （HCoV-229E + 125 μmol·L^-1 verbenalin）. Cell viability was measured using the CCK-8 assay， and the maximum non-toxic concentration （CC₀）， half-maximal cytotoxic concentration （CC₅₀）， half-maximal effective concentration （EC₅₀）， and selectivity index （SI） of verbenalin were calculated. Calcein/PI double staining was used to assess cell viability and cytotoxicity， and JC-1 staining was applied to evaluate changes in mitochondrial membrane potential （MMP）. mito-Keima adenovirus labeling was used to assess mitophagy levels in each group. ResultsA macrophage infection model was successfully established by infecting RAW264.7 cells with the original concentration of HCoV-229E for 36 h. The CC₀ of verbenalin was 125 μmol·L^-1. The CC₅₀ was 448.25 μmol·L^-1. The EC₅₀ against HCoV-229E-infected cells was 46.28 μmol·L^-1， and the SI was 9.68. Compared with the normal group， the model group showed significantly reduced cell survival rate （P<0.01）， increased cell death rate （P<0.01）， decreased MMP （P<0.01）， and suppressed mitophagy （P<0.01）. In contrast， verbenalin treatment significantly improved cell survival rate （P<0.01）， reduced cell death rate （P<0.01）， alleviated MMP loss （P<0.01）， and enhanced mitophagy levels （P<0.01） compared with the model group. ConclusionVerbenalin can enhance the survival rate of macrophages following HCoV-229E infection. The underlying mechanism may be associated with the activation of mitophagy， maintenance of MMP stability， and alleviation of mitochondrial damage.

ObjectiveTo investigate the protective effect and mechanism of verbenalin on mouse mononuclear macrophage leukemia cells （RAW264.7） damaged by human coronavirus （HCoV）-229E infection， thereby providing experimental evidence for its development and application. MethodsRAW264.7 macrophages were infected with different concentrations of HCoV-229E to establish a coronavirus-induced macrophage injury model using the cell counting kit-8 （CCK-8） assay for assessing cell proliferation and viability. Cells were randomly divided into four groups： normal control， verbenalin group （125 μmol·L^-1）， model group （HCoV-229E）， and HCoV-229E + verbenalin group （HCoV-229E + 125 μmol·L^-1 verbenalin）. Cell viability was measured using the CCK-8 assay， and the maximum non-toxic concentration （CC₀）， half-maximal cytotoxic concentration （CC₅₀）， half-maximal effective concentration （EC₅₀）， and selectivity index （SI） of verbenalin were calculated. Calcein/PI double staining was used to assess cell viability and cytotoxicity， and JC-1 staining was applied to evaluate changes in mitochondrial membrane potential （MMP）. mito-Keima adenovirus labeling was used to assess mitophagy levels in each group. ResultsA macrophage infection model was successfully established by infecting RAW264.7 cells with the original concentration of HCoV-229E for 36 h. The CC₀ of verbenalin was 125 μmol·L^-1. The CC₅₀ was 448.25 μmol·L^-1. The EC₅₀ against HCoV-229E-infected cells was 46.28 μmol·L^-1， and the SI was 9.68. Compared with the normal group， the model group showed significantly reduced cell survival rate （P<0.01）， increased cell death rate （P<0.01）， decreased MMP （P<0.01）， and suppressed mitophagy （P<0.01）. In contrast， verbenalin treatment significantly improved cell survival rate （P<0.01）， reduced cell death rate （P<0.01）， alleviated MMP loss （P<0.01）， and enhanced mitophagy levels （P<0.01） compared with the model group. ConclusionVerbenalin can enhance the survival rate of macrophages following HCoV-229E infection. The underlying mechanism may be associated with the activation of mitophagy， maintenance of MMP stability， and alleviation of mitochondrial damage.

AIM: To investigate the genetic association and potential causal relationship between diabetic nephropathy(DN)and diabetic retinopathy(DR), and to elucidate their shared molecular mechanisms through differential gene expression analysis and Mendelian randomization(MR).METHODS: Transcriptomic data of DN and DR were obtained from the Gene Expression Omnibus(GEO)database and analyzed for differentially expressed genes(DEGs). Genes meeting the significance threshold(log2FC>1, P<0.05)were identified, followed by Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis to explore shared biological pathways. Using genome-wide association study(GWAS)summary statistics for DN and DR, two-sample MR analysis was performed, with DN as the exposure and DR as the outcome. The causal effect was primarily estimated with the inverse-variance weighted(IVW)method, and sensitivity analyses were conducted to assess robustness.RESULTS: MR analysis revealed that DN significantly increased the risk of DR. IVW estimates indicated that the odds ratio(OR)for non-proliferative DR(NPDR)was 3.23(95% CI: 2.12-4.95, P<0.001), and the OR for proliferative DR(PDR)was 1.10(95% CI: 1.06-1.15, P<0.001). DEG analysis identified several key genes, including FN1, COL1A2, and THBS2. FN1 and COL1A2 are involved in extracellular matrix remodeling and fibrosis, contributing to vascular permeability alterations and microvascular damage in diabetic complications. THBS2 is closely associated with angiogenesis and vascular homeostasis, suggesting its potential role in DR. KEGG enrichment analysis showed that these DEGs were mainly enriched in advanced glycation end products(AGEs)-RAGE signaling, extracellular matrix degradation, and oxidative stress pathways, all of which are highly relevant to the pathogenesis of DN and DR.CONCLUSION: This study demonstrates the genetic association between DN and DR using MR and DEGs analyses. The shared mechanisms, particularly involving extracellular matrix remodeling, inflammatory response, and angiogenesis, may serve as novel therapeutic targets and provide a theoretical basis for the early diagnosis and targeted treatment of diabetic complications.

ObjectiveTo evaluate the pharmacological effects of verbenalin on both in vitro and in vivo infection models of human coronavirus 229E （HCoV-229E） and to preliminarily explore the antiviral mechanism of verbenalin through proteomic analysis. MethodsIn vitro， the cell counting kit-8 （CCK-8） for cell proliferation and viability assessment was used to establish a model of HCoV-229E-induced injury in human lung adenocarcinoma cells（A549）. A549 cells were divided into five groups： normal group， model group， and three verbenalin treatment groups （125， 62.5， and 31.25 μmol·L^-1）. The cell protective activity of verbenalin was evaluated through cell viability assay and immunofluorescence staining. In vivo， 30 BALB/c mice were randomly divided into normal group， model group， chloroquine group， and high-dose， low-dose verbenalin groups （40 and 20 mg·kg^-1）， with six mice per group. An HCoV-229E-induced mouse lung injury model was established to evaluate the therapeutic effects of verbenalin. Lung injury was assessed by detecting the lung index and lung inhibition rate. The severity of pulmonary inflammation cytokines was measured by enzyme-linked immunosorbent assay （ELISA）， while the lung morphology and structure were analyzed by micro-computed tomography （Micro-CT）. Hematoxylin and eosin （HE） staining was used to assess histopathological changes in lung tissue. Additionally， four-dimensional data-independent acquisition （4D-DIA） proteomics was employed to preliminarily explore the potential mechanisms of verbenalin in treating HCoV-229E-induced lung injury in mice， through differential protein expression screening， functional annotation， enrichment analysis， and protein-protein interaction network analysis. ResultsThe A549 cells were infected with HCoV-229E at the original viral titer for 36 hours to establish an in vitro infection model. The maximum non-toxic concentration of verbenalin was 125 μmol·L^-1， and the half-maximal cytotoxic concentration （CC₅₀） was 288.8 μmol·L^-1. Compared with the normal group， the model group showed a significant decrease in cell viability （P<0.01）， a significant increase in the proportion of dead cells （P<0.01）， mitochondrial damage， and a significant reduction in mitochondrial membrane potential （P<0.01）. After treatment with different concentrations of verbenalin （125， 62.5， and 31.25 μmol·L^-1）， cell viability was significantly increased （P<0.01）， and the proportion of dead cells was reduced （P<0.01）， with mitochondrial membrane potential restored （P<0.01）. In vivo experiments further confirmed the therapeutic effect of verbenalin on HCoV-229E-infected mice. Compared to the normal group， the model group showed a significant increase in the lung index （P<0.01）， severe lung tissue injury， lung volume enlargement， and a significant increase in the expression of inflammatory cytokines， including interleukin-6 （IL-6） and tumor necrosis factor-α （TNF-α） （P<0.01）. In contrast， in the verbenalin treatment groups， these pathological changes were significantly improved， with a reduction in the lung index （P<0.01）， alleviation of lung tissue injury， reduced lung volume enlargement， and a significant decrease in inflammatory cytokine expression （P<0.01）. Proteomics analysis revealed that， compared to the normal group， the model group showed enrichment in several antiviral immune-related signaling pathways， including the nuclear factor-κB （NF-κB） signaling pathway （P<0.05）. Compared to the model group， the verbenalin treatment group showed enrichment in several signaling pathways related to inflammatory response and autophagy （P<0.05）， suggesting that verbenalin may exert its antiviral and anti-inflammatory effects by regulating these pathways. ConclusionVerbenalin demonstrates significant therapeutic effects in both in vitro and in vivo HCoV-229E infection models， with its mechanism likely related to the NOD-like receptor protein 3 （NLRP3） inflammasome pathway and mitochondrial autophagy.

At present, the cause of traditional Chinese medicine(TCM) in China has entered a new period of high-quality development. How to strengthen the foundation for the TCM industry from the source is an important issue that deserves the attention of the authorities, industry, and academia. This study systematically analyzed the regulatory system of TCM raw materials and preparations. The study took the TCM industry chain and the product life cycle as a clue and focused on the dimensions of TCM resource protection and plant cultivation(farming), production and quality supervision of TCM raw materials and preparations, and their market access and distribution. It analyzed the current situation of the regulation of TCM raw materials and preparations under the regulatory system of drugs, discussed the main problems, and put forward corresponding suggestions. The results can provide an important reference value for the subsequent improvement of the regulatory system of drugs and the construction of a prominent regulatory system of drugs in accordance with TCM characteristics.
Drugs, Chinese Herbal/economics* ; Medicine, Chinese Traditional/standards* ; China ; Quality Control ; Humans ; Plants, Medicinal/chemistry*

Cervi Cornu Pantotrichum is a precious animal-derived Chinese medicinal material, while there are often adulterants derived from animals not specified in the Chinese Pharmacopeia in the market, which disturbs the safety of medication. This study was conducted with the aim of strengthening the quality control of Cervi Cornu Pantotrichum and standardizing the medication. To achieve digital identification of Cervi Cornu Pantotrichum from different sources, a digital identification model was constructed based on ultra-high performance liquid chromatography tandem quadrupole time-of-flight mass spectrometry(UHPLC-QTOF-MS~E) combined with an adaptive boosting algorithm(Adaboost). The young furred antlers of sika deer, red deer, elk, and reindeer were processed and then subjected to polypeptide analysis by UHPLC-QTOF-MS~E. Then, the mass spectral data reflecting the polypeptide information were obtained by digital quantification. Next, the key data were obtained by feature screening based on Gini index, and the digital identification model was constructed by Adaboost. The model was evaluated based on the recall rate, F_1 composite score, and accuracy. Finally, the results of identification based on the constructed digital identification model were validated. The results showed that when the Gini index was used to screen the data of top 100 characteristic polypeptides, the digital identification model based on Adaboost had the best performance, with the recall rate, F_1 composite score, and accuracy not less than 0.953. The validation analysis showed that the accuracy of the identification of the 10 batches of samples was as high as 100.0%. Therefore, based on UHPLC-QTOF-MS~E and Adaboost algorithm, the digital identification of Cervi Cornu Pantotrichum can be realized efficiently and accurately, which can provide reference for the quality control and original animal identification of Cervi Cornu Pantotrichum.
Animals ; Algorithms ; Antlers/chemistry* ; Boosting Machine Learning Algorithms ; Chromatography, High Pressure Liquid/methods* ; Deer ; Drugs, Chinese Herbal/chemistry* ; Mass Spectrometry/methods* ; Quality Control ; Reindeer ; Tandem Mass Spectrometry/methods* ; Tissue Extracts/analysis*

Emodin is a hydroxyanthraquinone compound that is widely distributed and has multiple pharmacological activities, including anti-diarrheal, anti-inflammatory, and liver-protective effects. Research indicates that emodin may be one of the main components responsible for inducing hepatotoxicity. However, studies on the mechanisms of liver injury are relatively limited, particularly those related to bile acids(BAs) metabolism. This study aims to systematically investigate the effects of different dosages of emodin on BAs metabolism, providing a basis for the safe clinical use of traditional Chinese medicine(TCM)containing emodin. First, this study evaluated the safety of repeated administration of different dosages of emodin over a 5-week period, with a particular focus on its impact on the liver. Next, the composition and content of BAs in serum and liver were analyzed. Subsequently, qRT-PCR was used to detect the mRNA expression of nuclear receptors and transporters related to BAs metabolism. The results showed that 1 g·kg~(-1) emodin induced hepatic damage, with bile duct hyperplasia as the primary pathological manifestation. It significantly increased the levels of various BAs in the serum and primary BAs(including taurine-conjugated and free BAs) in the liver. Additionally, it downregulated the mRNA expression of farnesoid X receptor(FXR), retinoid X receptor(RXR), and sodium taurocholate cotransporting polypeptide(NTCP), and upregulated the mRNA expression of cholesterol 7α-hydroxylase(CYP7A1) in the liver. Although 0.01 g·kg~(-1) and 0.03 g·kg~(-1) emodin did not induce obvious liver injury, they significantly increased the level of taurine-conjugated BAs in the liver, suggesting a potential interference with BAs homeostasis. In conclusion, 1 g·kg~(-1) emodin may promote the production of primary BAs in the liver by affecting the FXR-RXR-CYP7A1 pathway, inhibit NTCP expression, and reduce BA reabsorption in the liver, resulting in BA accumulation in the peripheral blood. This disruption of BA homeostasis leads to liver injury. Even doses of emodin close to the clinical dose can also have a certain effect on the homeostasis of BAs. Therefore, when using traditional Chinese medicine or formulas containing emodin in clinical practice, it is necessary to regularly monitor liver function indicators and closely monitor the risk of drug-induced liver injury.
Emodin/administration & dosage* ; Bile Acids and Salts/metabolism* ; Animals ; Male ; Liver/injuries* ; Chemical and Drug Induced Liver Injury/genetics* ; Drugs, Chinese Herbal/adverse effects* ; Humans ; Rats, Sprague-Dawley ; Mice ; Rats

Analyzing the spatial distribution pattern and formation factors of medicinal plant resources can provide a scientific basis for the protection and development of traditional Chinese medicine(TCM) resources. This study is based on the survey data of medicinal plant resources in 104 county-level administrative regions of Anhui province in the Fourth National Survey of TCM Resources. The global spatial autocorrelation analysis, trend surface analysis, local spatial autocorrelation analysis, hotspot analysis, and a geodetector were employed to analyze the spatial distribution pattern of medicinal plant richness, and its relationship with natural factors was explored. The results can provide a basis for the formulation of development strategies such as the protection and utilization of TCM resources, as well as offer a scientific foundation for the establishment of regional planning schemes for TCM resources in Anhui province. The results indicated that the richness of medicinal plant resources in Anhui province had significant spatial heterogeneity, exhibiting highly clustered distribution characteristics. Cold spots and hot spots presented clustered distribution patterns, with cold spots mostly located north of the Huaihe River and hot spots south of the Yangtze River. Overall, the distribution of medicinal plant resources in Anhui province showed an overall trend of high in the south and low in the north, which was consistent with the overall geomorphic trend of this province. In addition, natural factors such as altitude, precipitation, and vegetation type played an important role in the diversity and spatial distribution pattern formation of medicinal plant resources. The extraction and analysis of the spatial distribution characteristics of natural factors in cold and hot spot regions discovered that the heterogeneity of eco-environments constituted a fundamental condition for the formation of species diversity.
Plants, Medicinal/classification* ; China ; Spatial Analysis ; Conservation of Natural Resources ; Biodiversity

Ureaplasma urealyticum (UU) is one of the most commonly occurring pathogens associated with genital tract infections in infertile males, but the impact of seminal UU infection in semen on intrauterine insemination (IUI) outcomes is poorly understood. We collected data from 245 infertile couples who underwent IUI at The First Affiliated Hospital of USTC (Hefei, China) between January 2021 and January 2023. The subjects were classified into two groups according to their UU infection status: the UU-positive group and the UU-negative group. We compared semen parameters, pregnancy outcomes, and neonatal birth outcomes to investigate the impact of UU infection on IUI outcomes. There were no significantly statistical differences in various semen parameters, including semen volume, sperm concentration, total and progressive motility, sperm morphology, leukocyte count, the presence of anti-sperm antibody, and sperm DNA fragmentation index (DFI), between the UU-positive and UU-negative groups of male infertile patients (all P > 0.05). However, the high DNA stainability (HDS) status of sperm differed between the UU-positive and UU-negative groups, suggesting that seminal UU infection may affect sperm nuclear maturation ( P = 0.04). Additionally, there were no significant differences in pregnancy or neonatal birth outcomes between the two groups (all P > 0.05). These results suggest that IUI remains a viable and cost-effective option for infertile couples with UU infection who are facing infertility issues.
Humans ; Male ; Ureaplasma Infections/complications* ; Female ; Infertility, Male/therapy* ; Ureaplasma urealyticum/isolation & purification* ; Pregnancy ; Adult ; Pregnancy Outcome ; Semen Analysis ; Insemination, Artificial ; Semen/microbiology* ; China

OBJECTIVES: To investigate the molecular epidemiology of children with phenylketonuria (PKU) in Gansu, China, providing foundational data for intervention strategies. METHODS: A retrospective analysis was conducted on 1 159 PKU families who attended Gansu Provincial Maternity and Child Care Hospital from January 2012 to December 2024. Sanger sequencing, multiplex ligation-dependent probe amplification, whole exome sequencing, and deep intronic variant analysis were used to analyze the PAH gene. RESULTS: For the 1 159 children with PKU, 2 295 variants were identified in 2 318 alleles, resulting in a detection rate of 99.01%. The detection rates were 100% (914/914) in 457 classic PKU families, 99.45% (907/912) in 456 mild PKU families, and 96.34% (474/492) in 246 mild hyperphenylalaninemia families. The 2 295 variants detected comprised 208 distinct mutation types, among which c.728G>A (14.95%, 343/2 295) had the highest frequency, followed by c.611A>G (4.88%, 112/2 295) and c.721C>T (4.79%, 110/2 295). The cumulative frequency of the top 23 hotspot variants reached 70.28% (1 613/2 295), and most variant alleles were detected in exon 7 (29.19%, 670/2 295). CONCLUSIONS Deep intronic variant analysis of the PAH gene can improve the genetic diagnostic rate of PKU. The development of targeted detection kits for PAH hotspot variants may enable precision screening programs and enhance preventive strategies for PKU.
Humans ; Phenylketonurias/epidemiology* ; Female ; Male ; Retrospective Studies ; Phenylalanine Hydroxylase/genetics* ; Mutation ; Child, Preschool ; China/epidemiology* ; Child ; Infant