ObjectiveBased on the zebrafish model， the hepatotoxicity and anti-osteoporotic activity of evodiamine （EVO） were studied. The mechanism of EVO in treating osteoporosis was explored by using network pharmacology and real-time polymerase chain reaction（Real-time PCR）. MethodsThree days after fertilization （3 dpf）， zebrafish were randomly selected and exposed to different concentrations of EVO solution for 96 hours. The mortality rate of zebrafish at different concentrations was calculated at the exposure endpoint， and a "dose-toxicity" curve was drawn. The 10% lethal concentration （LC₁₀） was calculated. Liver phenotype， acridine orange staining， and pathological tissue sections of liver-transgenic zebrafish ［CZ16 （gz15Tg.Tg （fabp 10a： ds Red； ela31： EGFP））］ were used to confirm hepatotoxicity of EVO. On this basis， prednisolone was used to create a model of osteoporosis in zebrafish. The skull development， area of the skull stained by alizarin red， and cumulative optical density were used as indicators to evaluate the anti-osteoporotic activity of EVO in a safe dose. Based on network pharmacology， the mechanism of action of EVO in the treatment of osteoporosis was predicted and verified through Real-time PCR. ResultsThe LC₁₀ of EVO on zebrafish （7 dpf） was determined to be 0.4 mg·L^-1. Compared with the control group， sublethal concentrations （10=0.36 mg·L^-1 and 1/2LC₁₀=0.18 mg·L^-1） significantly decreased the fluorescence area of zebrafish liver （P<0.05，P<0.01） and increased the number of liver cell apoptosis. The arrangement of liver tissue was disordered and loose， and the vacuole was obvious， especially in the 0.36 mg·L^-1 group. Compared with the control group， under safe dose conditions， 0.08 and 0.02 mg·L^-1 of EVO had no significant effect on the liver. Prednisolone administration significantly reduced the mineralization area and cumulative optical density of zebrafish skulls （P<0.01） compared with the control group. The mineralization area and cumulative optical density of zebrafish skulls in the 0.08 and 0.02 mg·L^-1 groups of EVO were significantly increased compared with the model group （P<0.01）. Network pharmacology prediction suggested that EVO may regulate key targets such as avian sarcoma viral oncogene homolog （SRC）， signal transducer and activator of transcription 3 （STAT3）， interleukin-8 （CXCL8） and tyrosine kinase receptor 2 （ERBB2） to regulate signaling pathways related to lipid and atherosclerosis in diabetic complications， as well as the regulation of inflammatory mediators of tryptophan （TRP） channels. Real-time PCR experiment results indicated that EVO could regulate the above-mentioned targets， as well as genes related to osteoblasts and osteoclasts. ConclusionExcessive doses of EVO can lead to hepatotoxicity in zebrafish. Under safe dosage conditions， EVO can regulate relevant targets to exert anti-osteoporotic activity， providing a reference for the clinical safe use of EVO and ideas for the development of new drugs for osteoporosis.

As people's living standards improve， the development trend of diabetes has gradually become severe. Diabetes is a chronic inflammatory disease associated with abnormal expression of nuclear factor-kappa B （NF-κB） in patients. NF-κB exists in various tissue cells and participates in the regulation of a variety of genes related to immune function and inflammation. Varieties of factors can activate NF-κB when the body is stimulated by external factors， so as to produce inflammation and other reactions. Previous studies on NF-κB mainly focus on cancer， and the pathological mechanism of the treatment of diabetes by related signaling pathways and the progress of traditional Chinese medicine （TCM） treatment have not been systematically elaborated on. By referring to the relevant literature in China and abroad， it was found that NF-κB is not isolated in the development and progression of diabetes but is associated with signal molecules related to inflammation， oxidative stress， and energy metabolism， and it is involved in mediating inflammation， pancreatic β cell apoptosis， insulin signal transduction， and other physiological functions. Therefore， blocking the transmission of NF-κB signaling pathway is beneficial to the treatment of diabetes. At present， Western medicine for the treatment of diabetes mainly includes oral hypoglycemic drugs and insulin injections， but the adverse reactions are obvious. TCM has been characterized by multi-target， extensive action， and excellent curative effects in the treatment of diabetes. TCM and its compounds with functions of tonifying Qi and promoting blood circulation， regulating qi and eliminating phlegm， clearing heat and detoxifying， and nourishing Yin and moistening dryness can effectively intervene in the abnormal expression of NF-κB signaling pathway in vivo through anti-inflammatory effects. In this paper， the association between NF-κB signaling pathway and diabetes was summarized， and the modern research progress of TCM intervention of NF-κB signaling pathway in the treatment of diabetes in the past five years was reviewed， so as to lay a laboratory foundation for the study of a new pathological mechanism of diabetes based on NF-κB signaling pathway and provide new targets and research direction for the prevention and treatment of diabetes and development of related TCM.

ObjectiveTo observe the effect of Shufeng Jiedu capsule （SFJD）-containing serum on human lung epithelial cells infected by influenza A virus， and investigate the protective effect of the drug on the cells and the potential antiviral effect. MethodThe SFJD-containing serum was prepared and used to treat human lung epithelial cells （BEAS-2B） cultured in vitro. The viability of cells treated with different concentrations of SFJD-containing serum was measured by the cell counting kit-8 （CCK-8）， and the optimal concentration of SFJD-containing serum was screened for subsequent experiments. BEAS-2B cells were classified into normal control， virus infection， and SFJD-containing serum groups， and the CCK-8 method was used to detect the survival rate of BEAS-2B cells after virus infection and drug administration. The expression of influenza virus nucleic acid in the cells of each group was determined， and the apoptosis of cells in different groups was observed by fluorescence microscopy. Real-time PCR was employed to determine the mRNA levels of influenza virus nucleoprotein （NP）， Toll-like receptor 4 （TLR4）， and myeloid differentiation primary response gene 88 （MyD88） in each group of cells. The immunofluorescence assay was used to detect the fluorescence intensities of TLR4， MyD88， and phosphorylated nuclear factor-κB （p-NF-κB） in lung epithelial cells. ResultCompared with that in the control group （normal serum）， the cell survival rates in the blank serum and the SFJD-containing serum （5%， 10%， and 20%） groups were 100.00%±0.00%， 89.05%±4.80%， 87.13%±5.90%， 93.83%±6.03%， and 99.33%±3.39%， respectively （P<0.01）. The SFJD-containing serum of 20% was selected as the optimal treatment for subsequent experiments. Compared with the normal control group， the virus infection group showed reduced cell survival rate （P<0.01）， and the reduction was increased by the SFJD-containing serum （P<0.01）. Compared with the virus infection group， SFJD-containing serum reduced the virus load （P<0.01） to decrease apoptosis. Compared with the normal control group， the virus infection group showed up-regulated mRNA levels of NP， TLR4， and MyD88 （P<0.01）， and the up-regulation was down-regulated by the SFJD-containing serum （P<0.05， P<0.01）. The fluorescence intensities of TLR4， MyD88， and p-NF-κB proteins in the cells increased after virus infection compared with those in the normal control （P<0.05， P<0.01）， and they were decreased after administration with the SFJD-containing serum （P<0.05）. ConclusionThe SFJD-containing serum can inhibit influenza virus in vitro by increasing the survival rate， reducing the apoptosis， and down-regulating the protein levels of TLR4， MyD88， and p-NF-κB in BEAS-2B cells.

Objective To investigate the mechanism and protective effect of Humanin(HN)on rotenone(Rot)-induced toxic damage for dopamine neurons.Methods The Rot-poisened PC12 cell model was constructed,and the control group,the Rot poisening group,the HN pretreated Rot poisening group,and the HN treatment group were set up.ELISA was used to detect the content of HN inside and outside of Rot-infected cells,CCK-8 assay was used to detect cell viability,and ATP detection kit was used to detect the intracellular ATP content.Dichloro-dihydro-fluorescein diacetate(DCFH-DA)assay was used to detect the level of reactive oxygen species(ROS)in cells.Western blotting was performed to detect the expression level of mitochondrial autophagy regulatory proteins Pink1,Parkin,p62,LC3,mitochondrial biogenesis regulatory protein PGC1α,division/fusion regulatory proteins OPA1,MFN2,DRP1,p-DRP1 and antioxidant stress regulatory proteins Keap1 and Nrf2.HBAD-mcherry-EGFP-LC3 adenovirus transfected cells was used to observed the number of autophagosomes and autophagolysosomes.Results The results showed that the intracellular concentration of HN in PC12 in the Rot poisening group was significantly higher than that in the control group(P＜0.05);Compared with the control group,the Rot poisening group had significantly decreased activity of PC12 cells,decreased ATP content and increased production of ROS.After the poisen of Rot in PC12 cells,the expression of Pink1 and p-Parkin,the ratio of LC3Ⅱ/LC3Ⅰ and the expression of p-DRP1 in mitochondrial fusion protein was increased,while the expression of p62,the expression of mitochondrial biogenesis protein PGC1 α,mitochondrial fusion proteins MFN2 and OPA1,and antioxidant stress proteins Keap1 and Nrf2 were decreased(all P＜0.05).The number of autophagosomes and autophagolysosomes in PC12 cells in the Rot poisening group was higher than that in the control group(P＜0.05),and HN pretreatment(20 μmol/L)could significantly improve the changes mentioned above caused by Rot poisening(P＜0.05).Conclusion HN ameliorates Rot-induced toxic damage for dopamine neurons by inhibiting mitophagy and mitochondrial division and promoting mitochondrial biogenesis and fusion,and anti-oxidative stress.

Objective:To explore the genetic etiology of a fetus with cryptophthalmos detected by prenatal ultrasonography.Methods:A fetus undergoing induced labor at 32nd gestational week due to absence of bilateral eye fissures detected by prenatal ultrasonography in January 2017 was selected as the study subject. Umbilical cord blood sample from the fetus and peripheral blood samples from its parents were collected for the extraction of genomic DNA. Pathogenic variants were screened through whole exome sequencing (WES) and verified by Sanger sequencing. Pathogenicity of candidate variants was verified by bioinformatic analysis and protein structure simulation. Based on the results of genetic testing, prenatal diagnosis was provided to the couple upon their subsequent pregnancy.Results:The couple had four adverse pregnancies previously. The aborted fetus was the fifth, with fused bilateral upper and lower eyelids, poorly developed eyeballs, adhesion of the cornea with the upper eyelid, low-set ears, and abnormal plantar creases, and was diagnosed with cryptophthalmos. WES and Sanger sequencing revealed that the fetus has harbored compound heterozygous variants of the FREM2 gene, namely c. 4537G>A (p.D1513N) and c.7292C>T (p.T2431M). Both variants were unreported associated with cryptophthalmos previously. Protein structure simulation showed that they may lead to loss of hydrogen bonds in the protein product. Based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), both variants were predicted to be likely pathogenic (PM1_Supporting+ PM2_Supporting+ PM5+ PP3+ PP4; PM2_Supporting+ PM3+ PP3+ PP4). The mother was performed prenatal diagnosis in her sixth pregnancy based on the variants detected in this family, and delivered a daughter with normal phenotype. Conclusion:The FREM2: c. 4537G>A and c. 7292C>T compound heterozygous variants probably underlay the pathogenesis of cryptophthalmos in this fetus. Above finding has enriched the mutational spectrum of the FREM2 gene.

[Objective] To summarize the diagnosis and treatment of Antopol Goldman lesion (AGL) in clinical practice. [Methods] Clinical data and diagnosis and treatment process of one AGL case treated in our hospital were retrospectively analyzed, and relevant literature was reviewed. [Results] The patient presented with painless gross hematuria and right-sided lower back pain.Imaging examination suggested swelling of the right kidney, blood accumulation in the right calyx, renal pelvis and lower ureter, blood clot in the bladder, and multiple small stones in the left kidney.After multidisciplinary consultation, close imaging follow-up, interventional and flexible ureterdscope examination, tumors of hematological diseases, renal hematuria, arteriovenous fistula and collection system were excluded.After conservative treatment, the patient gradually recovered.During the follow-up of 1 year, no hematuria or low back pain recurred. [Conclusion] There is no clear diagnostic standard for AGL.Diagnosis relies on imaging, interventional methods and ureteroscopy.It is necessary to exclude other diseases and adopt conservative treatment.

Objective To establish age estimation models of northern Chinese Han adults using cranial suture images obtained by CT and multiplanar reformation(MPR),and to explore the applicability of cranial suture closure rule in age estimation of northern Chinese Han population.Methods The head CT samples of 132 northern Chinese Han adults aged 29-80 years were retrospectively collected.Volume reconstruction(VR)and MPR were performed on the skull,and 160 cranial suture tomography images were generated for each sample.Then the MPR images of cranial sutures were scored according to the closure grading criteria,and the mean closure grades of sagittal suture,coronal sutures(both left and right)and lambdoid sutures(both left and right)were calculated respectively.Finally taking the above grades as independent variables,the linear regression model and four machine learning models for age estimation(gradient boosting regression,support vector regression,decision tree regression and Bayesian ridge regression)were established for northern Chinese Han adults age estimation.The accu-racy of each model was evaluated.Results Each cranial suture closure grade was positively correlated with age and the correlation of sagittal suture was the highest.All four machine learning models had higher age estimation accuracy than linear regression model.The support vector regression model had the highest accuracy among the machine learning models with a mean absolute error of 9.542 years.Conclusion The combination of skull CT-MPR and machine learning model can be used for age esti-mation in northern Chinese Han adults,but it is still necessary to combine with other adult age estima-tion indicators in forensic practice.

Objective To investigate the relationship between Kirsten rat sarcoma viral oncogene homolog(KRAS),neuroblastoma viral oncogene RAS homolog(NRAS),V-raf murine sarcoma viral oncogene homo-log B(BRAF),human epidermal growth factor receptor 2(HER2)gene mutations and microsatellite instabili-ty(MSI)status and clinicopathological features in patients with colorectal cancer.Methods The clinical data of 226 patients with colorectal cancer treated in the hospital from October 2019 to March 2022 were collected.Next-generation sequencing technology was used to detect KRAS,NRAS,BRAF,HER2 gene mutations and MSI status.Immunohistochemistry was used to evaluate the mismatch repair system(MMR)status.Multiva-riate Logistic regression analysis was used to analyze the relationship between KRAS,NRAS,BRAF,HER2 gene mutations and clinicopathological features.Results Among 226 colorectal cancer patients,the mutation frequencies of KRAS,NRAS,BRAF and HER2 were 54.89％,5.3％,8.4％and 1.8％,respectively.The fre-quency of KRAS mutation in mucinous adenocarcinoma was higher than that in common adenocarcinoma(P＜0.05).The risk of KRAS mutation in right colon cancer was increased(OR=2.145,P=0.012).NR AS gene mutation was more frequent in left colon and rectal cancer(P＜0.05).The frequency of BRAF gene mu-tation was higher in poorly differentiated and microsatellite instability-high(MSI-H)colorectal cancer(P＜0.05),and the risk of BRAF gene mutation in the right colon was increased(OR=2.844,P=0.042).HER2 gene amplification mutation showed distant metastasis(P＜0.05).KRAS mutations were mutually exclusive with NRAS,BRAF and HER2 amplification mutations(P＜0.05).MSI-H was more frequent in the right co-lon(P＜0.05).Of the 226 cases,10 cases were defective mismatch repair(dMMR)/MSI-H,8 cases were dM-MR/microsatellite stable,and 5 cases were proficient mismatch repair/MSI-H.There was a moderate agree-ment between dMMR and MSI-H(Kappa=0.575).Conclusion KRAS,NRAS,BRAF,HER2 and MSI sta-tus are associated with clinicopathological features in patients with colorectal cancer.Combined detection of KRAS,NRAS,BRAF,HER2 and MSI can provide more accurate and effective data to guide the treatment and prognosis of patients.

Vascular cognitive impairment (VCI) refers to a cognitive impairment syndrome caused by cerebrovascular disease and its risk factors, and encompasses a spectrum from mild cognitive impairment to vascular dementia. It is the second leading cause of dementia after Alzheimer's disease (AD). The clinical manifestations of VCI often overlap with neurological diseases such as AD, and its neuropathological changes are heterogeneous, lacking specificity in clinical diagnosis and treatment, thus delaying the optimal timing of treatment. In recent years, with the continuous development of brain structure-function coupling analysis methods based on multimodal MRI, the correlation between brain structure and function has been comprehensively revealed, which is helpful for exploring the pathological and physiological mechanisms of VCI. This article reviews the research progress on the application of multimodal MRI in VCI in recent years, including the study of brain structure function-coupling based on multimodal MRI.

Objective To analyze the clinical characteristics of high energy metabolism in lung cancer patients and its correlation with body composition,nutritional status,and quality of life,and to develop a corresponding risk prediction model.Methods Retrospectively analyzed 132 primary lung cancer patients admitted to the First Hospital of Shanxi Medical University from January 2022 to May 2023,and categorized into high(n=94)and low energy metabolism group(n=38)based on their metabolic status.Differences in clinical data,body composition,Patient Generated Subjective Global Assessment(PG-SGA)scores,and European Organization for Research and treatment of Cancer(EORTC)Quality of Life Questionnaire-Core 30(QLQ-C30)scores were compared between the two groups.Logistic regression was used to identify the risk factors for high energy metabolism in lung cancer patients,and a risk prediction model was established accordingly;the Hosmer-Lemeshow test was used to assess the model fit,and the ROC curve was used to test the predictive efficacy of the model.Results Of the 132 patients with primary lung cancer,94(71.2%)exhibited high energy metabolism.Compared with low energy metabolism group,patients in high-energy metabolism group had a smoking index of 400 or higher,advanced disease staging of stage Ⅲ or Ⅳ,and higher levels of IL-6 level,low adiposity index,low skeletal muscle index,and malnutrition(P<0.05),and lower levels of total protein,albumin,hemoglobin level,and prognostic nutritional index(PNI)(P<0.05).There was no significant difference in age,gender,height,weight,BMI and disease type between the two groups(P>0.05).Logistic regression analysis showed that smoking index≥400,advanced disease stage,IL-6≥3.775 ng/L,and PNI<46.43 were independent risk factors for high energy metabolism in lung cancer patients.The AUC of the ROC curve for the established prediction model of high energy metabolism in lung cancer patients was 0.834(95%CI 0.763-0.904).Conclusion The high energy metabolic risk prediction model of lung cancer patients established in this study has good fit and prediction efficiency.