ObjectiveTo investigate the mechanism by which Gegen Qinliantang（GQT） improves skeletal muscle insulin resistance. MethodsThe db/m mice were used as the normal group， while db/db mice were assigned to a model group， low-dose （3.12 g·kg^-1）， medium-dose （6.24 g·kg^-1）， and high-dose （12.48 g·kg^-1） GQT groups， and a Western medicine group （semaglutide， 0.045 mg·kg^-1），n=6 in each group. All groups received corresponding interventions. Intraperitoneal glucose tolerance test （IPGTT）， intraperitoneal insulin tolerance test （IPITT）， and hematoxylin-eosin （HE） staining were used to evaluate insulin resistance and therapeutic efficacy. Serum lipid levels were measured using an automatic biochemical analyzer， and apoptosis in skeletal muscle was assessed via TUNEL assay. Transcriptome sequencing combined with gene ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） analyses was performed to identify differentially expressed genes （DEGs）. Real-time quantitative polymerase chain reaction （Real-time PCR） was used to validate gene expression. Molecular docking was applied to evaluate the binding patterns between active components of GQT and key regulatory genes to elucidate pharmacological mechanisms. ResultsCompared with the model group， the medium-dose and high-dose GQT groups showed significantly reduced fasting blood glucose （FBG） levels （P<0.01）. Triglycerides （TG）， total cholesterol （TC）， and low-density lipoprotein cholesterol （LDL-C） were markedly decreased （P<0.01）， while high-density lipoprotein cholesterol （HDL-C） was significantly increased （P<0.01）. IPGTT， IPITT， and HE staining demonstrated that GQT enhanced insulin sensitivity and restored skeletal muscle morphology. GQT also alleviated apoptosis in skeletal muscle tissue. Transcriptome analysis revealed that GQT primarily affected biological processes such as oxidative phosphorylation， metabolic pathways， cellular processes， and protein binding. Real-time PCR results showed that CBR2， CDK6， F830016B08Rik， IL-1β， Rab27b， and COLEC12 were key regulatory genes. Molecular docking demonstrated that CBR2， IL-1β， Rab27b， and COLEC12 formed stable binding with the main active components of GQT. The therapeutic effects of high- and medium-dose GQT were comparable to those of the semaglutide group. ConclusionGQT improves skeletal muscle insulin resistance， potentially by regulating apoptosis as part of its underlying biological mechanism.

Objective:To establish a serum detection method of surface-enhanced Raman spectroscopy (SERS) combining with machine learning for early screening of colorectal cancer (CRC).Methods:Serum samples were collected from 150 CRC patients diagnosed at Jiangdu People′s Hospital, Affiliated to Yangzhou University, and also from 37 healthy subjects. Gold nanohexapod (AuNHs) arrays were prepared using an oil-water interface self-assembly method. A 5 μl serum sample was applied onto the AuNHs array. Scatheless and rapid detection for serum were performed using a Renishaw inVia Raman spectrometer at room temperature with a laser wavelength of 785 nm, exposure time of 10 s, and power of 5 mW. The raw SERS spectra were preprocessed using Savitzky-Golay smoothing, AsLS baseline correction, and Min-Max normalization with Origin 2019 software. Furthermore, the principal component analysis (PCA)-support vector machine (SVM) model was constructed using Python′s scikit-learn library. Leave-One-Out Cross-Validation (LOOCV) was used to evaluate the model′s accuracy, sensitivity, specificity, and area under the curve (AUC).Results:The AuNHs arrays exhibited uniform morphology. The relative standard deviation (RSD) of the SERS intensity at 1 080 cm -1 was 5.69%, and the RSD of the SERS intensity at 1 340 cm -1 was 6.20%. The limit of detection (LOD) of the AuNHs array was 9.42×10 -12 mol/L. The PCA-SVM model achieved an accuracy of 90.91% (170/187), sensitivity of 96.79% (181/187), specificity of 99.47% (186/187), and an AUC of 0.98. The most significant characteristic peaks distinguishing different CRC stages were at 747, 940, 1 000, 1 447, and 1 612 cm -1. Conclusion:The serum detection method based on SERS combined with machine learning can accurately screen CRC with higher accuracy, sensitivity, and specificity, demonstrating potential clinical application value.

Objective To investigate the clinicopathological features of odontogenic myxoma(OM).Methods The clinicopath-ologic data of 15 patients with odontogenic myxoma(OM)diagnosed by routine pathology in Stomatological Hospital Affiliated to Nanjing Medical University from January 2013 to June 2023 were retrospectively analyzed.Results(1)The most common cases were female(66.7％),20-40 years old(73.3％),mandible(60.0％)and posterior dental area(93.3％).(2)The characteristic imaging findings were multilocular cystic low-density radiography,resembling honey comb/tennis racket/soap bubble structures.(3)Microscopi-cally,star or spindle tumor cells can be seen scattered in the background of light blue mucoid matrix,and occasionally a few odonto-genic epithelial clusters.(4)In 15 odontogenic myxoma(OM)samples,①β-catenin was not expressed in 1 case of mucous type,par-tially or diffusely expressed in 6 cases,not expressed in 2 cases of fibrous type,partially or diffusely expressed in 6 cases;②CD34 and S100 were negative;③Ki-67 index was lower than 1％.(5)Of the 15 patients,only one relapsed,and the rest had a good prognosis.(6)Surgical treatment is the main treatment plan at present,and the appropriate surgical plan should be selected according to the size of the tumor,the scope of the lesion and the situation of the patient.Conclusion Although odontogenic myxoma is a benign tumor,it is locally invasive and recurrent.It is necessary to distinguish it from low-grade malignant myxosarcoma,chondromyxoid fibroma and odontogenic fibroma.Understanding of and familiarity with its clinicopathological features is helpful to its diagnosis and improving the prognosis of patients.

Objective To investigate the clinicopathological features of odontogenic myxoma(OM).Methods The clinicopath-ologic data of 15 patients with odontogenic myxoma(OM)diagnosed by routine pathology in Stomatological Hospital Affiliated to Nanjing Medical University from January 2013 to June 2023 were retrospectively analyzed.Results(1)The most common cases were female(66.7％),20-40 years old(73.3％),mandible(60.0％)and posterior dental area(93.3％).(2)The characteristic imaging findings were multilocular cystic low-density radiography,resembling honey comb/tennis racket/soap bubble structures.(3)Microscopi-cally,star or spindle tumor cells can be seen scattered in the background of light blue mucoid matrix,and occasionally a few odonto-genic epithelial clusters.(4)In 15 odontogenic myxoma(OM)samples,①β-catenin was not expressed in 1 case of mucous type,par-tially or diffusely expressed in 6 cases,not expressed in 2 cases of fibrous type,partially or diffusely expressed in 6 cases;②CD34 and S100 were negative;③Ki-67 index was lower than 1％.(5)Of the 15 patients,only one relapsed,and the rest had a good prognosis.(6)Surgical treatment is the main treatment plan at present,and the appropriate surgical plan should be selected according to the size of the tumor,the scope of the lesion and the situation of the patient.Conclusion Although odontogenic myxoma is a benign tumor,it is locally invasive and recurrent.It is necessary to distinguish it from low-grade malignant myxosarcoma,chondromyxoid fibroma and odontogenic fibroma.Understanding of and familiarity with its clinicopathological features is helpful to its diagnosis and improving the prognosis of patients.

Objective:To establish a serum detection method of surface-enhanced Raman spectroscopy (SERS) combining with machine learning for early screening of colorectal cancer (CRC).Methods:Serum samples were collected from 150 CRC patients diagnosed at Jiangdu People′s Hospital, Affiliated to Yangzhou University, and also from 37 healthy subjects. Gold nanohexapod (AuNHs) arrays were prepared using an oil-water interface self-assembly method. A 5 μl serum sample was applied onto the AuNHs array. Scatheless and rapid detection for serum were performed using a Renishaw inVia Raman spectrometer at room temperature with a laser wavelength of 785 nm, exposure time of 10 s, and power of 5 mW. The raw SERS spectra were preprocessed using Savitzky-Golay smoothing, AsLS baseline correction, and Min-Max normalization with Origin 2019 software. Furthermore, the principal component analysis (PCA)-support vector machine (SVM) model was constructed using Python′s scikit-learn library. Leave-One-Out Cross-Validation (LOOCV) was used to evaluate the model′s accuracy, sensitivity, specificity, and area under the curve (AUC).Results:The AuNHs arrays exhibited uniform morphology. The relative standard deviation (RSD) of the SERS intensity at 1 080 cm -1 was 5.69%, and the RSD of the SERS intensity at 1 340 cm -1 was 6.20%. The limit of detection (LOD) of the AuNHs array was 9.42×10 -12 mol/L. The PCA-SVM model achieved an accuracy of 90.91% (170/187), sensitivity of 96.79% (181/187), specificity of 99.47% (186/187), and an AUC of 0.98. The most significant characteristic peaks distinguishing different CRC stages were at 747, 940, 1 000, 1 447, and 1 612 cm -1. Conclusion:The serum detection method based on SERS combined with machine learning can accurately screen CRC with higher accuracy, sensitivity, and specificity, demonstrating potential clinical application value.

Objective To investigate the beneficial effect of Kai-Xin-San combined with fluoxetine in improving depression-like behaviors on chronic unpredictable mild stress(CUMS)induced depression model mice.Methods The present study aimed to assess the potential of Kai-Xin-San in combination with fluoxetine to ameliorate depression-like behaviors in a CUMS induced mouse depression model.Behavioral tests,such as the sucrose preference test were employed to evaluate the efficacy of the treatment.Additionally,the levels of suppressed stress factors were measured using the ELISA method.The morphology of hippocampal tissue was evaluated using the HE staining method,Nissl Staining and TUNEL staining methods.Furthermore,western blotting analysis was utilized to determine the expression levels of proteins such as Caspase-3,and Caspase-9.Results The co-administration of Kai-Xin-San and fluoxetine resulted in a significant increase in sucrose preference rate in model mice.This effect was comparable to that of fluoxetine alone at the standard clinical dose.Furthermore,the combination treatment up-regulated the levels of suppressed stress factors,reduced the apoptosis of hippocampus induced by depression and regulated the apoptosis signaling pathway in hippocampus.Conclusion The combination of Kai-Xin-San and fluoxetine has been shown to be an effective treatment for depression-like behavior in animal models,resulting in a reduction in the required clinical dosage of fluoxetine.This effect may be attributed to the up-regulation of neurotransmitter expression,inhibition of stress axis activation,and central nervous inflammation.

OBJECTIVE To evaluate the ameliorative effect of Juanbi Tongluo Oral Liquid on sciatic neuronal apoptosis in Type 2 diabetic model mice.METHODS The Type 2 diabetes mouse model was established by feeding with high-fat and high-sugar diet combined with intraperitoneal injection of streptozotocin(STZ).The mice were treated with metformin(200 mg·kg-1·d-1),low dose(3.9 g·kg-1·d-1)and high dose(7.8 g·kg-1·d-1)Juanbi Tongluo Oral Liquid for 35 days.The latency of response to thermal stimu-lation was detected by hot plate,and the values of blood glucose insulin and glycosylated hemoglobin were determined.Biochemical kits were used to detect the expression of serum total cholesterol(T-CHO),triglyceride(TG),high density lipoprotein cholesterol(HDL-C),low density lipoprotein cholesterol(LDL-C),superoxide dismutase(SOD),catalase(CAT),glutathione peroxidase(GSH-Px)and oxidation product malondialdehyde(MDA).The expression of tumor cytokine α(TNF-α),interleukin(IL)-1β,IL-6 and IL-10 in serum of mice were detected by ELISA method;the injury of sciatic nerve of model mice was detected by HE staining;the apoptosis of sciatic nerve was detected by TUNEL method;and the expression of neurofilament protein NF-L,apoptosis(cleaved Caspase-3,Caspase-3)and oxidative stress(Nrf2,HO-1)signal pathway proteins in sciatic nerve of model mice were detected by Western blot method.RESULTS High-dose Juanbi Tongluo Oral Liquid shortened the latent period of heat pain response in model mice(P<0.01);downregulated fasting blood glucose and glycated hemoglobin(P<0.01),and upregulated fasting plasma insulin in model mice(P<0.01);downregulated serum T-CHO,TG,and LDL-C levels(P<0.01),upregulated HDL-C levels(P<0.01);downregulated serum pro-inflammatory factors TNF-α,IL-1β and IL-6 levels(P<0.05),upregulated the anti-inflammatory cyto-kine IL-10 level(P<0.01);inhibited sciatic nerve structural damage and apoptosis(P<0.05);downregulated the ratio of cleaved Caspase-3 to Caspase-3 in the apoptosis pathway(P<0.01);upregulated the expression of neurofilament proteins NF-L and NF-H in sciatic nerve tissue(P<0.05,P<0.01);and upregulated the expression of antioxidant stress proteins Nrf2 and HO-1(P<0.01).CONCLUSION Juanbi Tongluo Oral Liquid can improve sciatic neuronal apoptosis of Type 2 diabetic mice,which may be related to its effect on improving oxidative stress and inflammatory stress.

Objective:To explore the pathogenesis and potential biomarkers of atrial fibrillation based on bioinformatics.Methods:Differentially expressed genes and module genes related to atrial fibrillation were obtained from GSE41177 and GSE79768 datasets(Chinese-origin tissue samples)through differential expression analysis and weighted gene co-expression network analysis.Candidate hub genes were obtained by taking intersections,and hub genes were obtained after gender stratification.Subsequently,functional enrichment analysis and immune infiltration analysis were performed.Four machine learning models were constructed based on the hub genes,and the optimal model was selected to construct a prediction nomogram.The prediction ability of the nomogram was verified using calibration curves and decision curves.Finally,potential therapeutic drugs for atrial fibrillation were screened from the DGIdb database.Results:A total of 67 differentially expressed genes and 65 module genes related to atrial fibrillation were identified.Functional enrichment analysis indicated that the pathogenesis of atrial fibrillation was closely related to inflammatory response,immune response,and immune and infectious diseases.Four common hub genes(TYROBP,FCER1G,EVI2B and SOD2),and two genes specifically expressed in male(PILRA and SLC35G3)and female(HLA-DRA and GATP)patients with atrial fibrillation were obtained after gender-segregated screening.The extreme gradient boosting model had satisfactory diagnostic efficiency,and the nomogram constructed based on the hub genes,male significant variables(PILRA,SLC35G3 and SOD2),and female significant variables(FCER1G,SOD2 and TYRO BP)had satisfactory predictive ability.Immune infiltration analysis demonstrated a disturbed immune infiltration microenvironment in atrial fibrillation with a higher abundance of plasma cells,neutrophils,and γδT cells,with a higher abundance of neutrophils in males and resting mast cells in females.Two potential drugs for the treatment of atrial fibrillation,valproic acid and methotrexate,were obtained by database and literature screening.Conclusions:The pathogenesis of atrial fibrillation is closely related to inflammation and immune response,and the microenvironment of immune cell infiltration of cardiomyocytes in the atrial tissue of patients with atrial fibrillation is disordered.TYROBP,FCER1G,EVI2B and SOD2 serve as potential diagnostic biomarkers of atrial fibrillation;PILRA and SLC35G3 serve as potential specific diagnostic biomarkers of atrial fibrillation in the male population,which can effectively predict the risk of atrial fibrillation development and are also potential targets for the treatment of atrial fibrillation.

Purpose To explore the application of contrast-enhanced ultrasound in evaluating the local muscle microcirculation before and after acupuncture at Zusanli point in normal people.Materials and Methods A total of 72 healthy volunteers who visited the Department of Ultrasound,the Second Affiliated Hospital of Fujian Medical University from September 2018 to May 2020 were prospectively collected,all subjects performed ultrasound contrast before acupuncture,acupuncture with strongest deqi,and two hours after acupuncture to observe the blood flow perfusion of the microvessels in the tibialis anterior muscle.The pre-selected areas of interest the small arteries,muscle tissues and venules in the middle were analyzed to obtain the time-intensity curve and contrast transit time(CTTs)perfusion parameters.Needle sensation was evaluated using objective scoring criteria for acupuncture combined with moxibustion recipients.Gastrin,plasma gastrin,cholecystokinin,and secretin were measured in all subjects before acupuncture,when acupuncture had the strongest deqi,and two hours after acupuncture.Results ①CTTs of arterial-muscle,muscle-venous and arterial-venous of the tibialis anterior muscle at acupuncture with strongest deqi were significantly shorter than those at before acupuncture and two hours after acupuncture(all P<0.001),and there was no significant difference in CTTs before and after acupuncture and moxibustion(P>0.05);②when acupuncture deqi was strongest,serum gastrin,plasma prokinetics,cholecystokinin,and secretin were significantly increased compared with those before acupuncture and two hours after acupuncture,with statistically significant difference(all P<0.001),while there was no significant difference in these parameters between before acupuncture and two hours after acupuncture(P>0.05);③when acupuncture had the strongest deqi,there were positive correlations between gastrin,plasma prokinetic hormone,cholecystokinin,and secretin values and CTTs of arterial-muscle,muscle-venous,and arterial-venous(r=0.360-0.702,P<0.001).Conclusion Acupuncture of the Zusanli,when it gains the strongest deqi,can cause changes in the microcirculation around the skeletal muscle,leading to a significant shortening of CTTs,and also promotes the secretory function of the gastrointestinal tract.

OBJECTIVES: To investigate the mechanism of comorbidity between non-alcoholic fatty liver disease (NAFLD) and atherosclerosis (AS) based on metabolomics and network pharmacology. METHODS: Six ApoE^－/－ mice were fed with a high-fat diet for 16 weeks as a comorbid model of NAFLD and AS (model group). Normal diet was given to 6 wildtype C57BL/6J mice (control group). Serum samples were taken from both groups for a non-targeted metabolomics assay to identify differential metabolites. Network pharmacology was applied to explore the possible mechanistic effects of differential metabolites on AS and NAFLD. An in vitro comorbid cell model was constructed using NCTC1469 cells and RAW264.7 macrophage. Cellular lipid accumulation, cell viability, morphology and function of mitochondria were detected with oil red O staining, CCK-8 assay, transmission electron microscopy and JC-1 staining, respectively. RESULTS: A total of 85 differential metabolites associated with comorbidity of NAFLD and AS were identified. The top 20 differential metabolites were subjected to network pharmacology analysis, which showed that the core targets of differential metabolites related to AS and NAFLD were STAT3, EGFR, MAPK14, PPARG, NFKB1, PTGS2, ESR1, PPARA, PTPN1 and SCD. The Kyoto Encyclopedia of Genes and Genomes showed the top 10 signaling pathways were PPAR signaling pathway, AGE-RAGE signaling pathway in diabetic complications, alcoholic liver disease, prolactin signaling pathway, insulin resistance, TNF signaling pathway, hepatitis B, the relax in signaling pathway, IL-17 signaling pathway and NAFLD. Experimental validation showed that lipid metabolism-related genes PPARG, PPARA, PTPN1, and SCD were significantly changed in hepatocyte models, and steatotic hepatocytes affected the expression of macrophage inflammation-related genes STAT3, NFKB1 and PTGS2; steatotic hepatocytes promoted the formation of foam cells and exacerbated the accumulation of lipids in foam cells; the disrupted morphology, impaired function, and increased reactive oxygen species production were observed in steatotic hepatocyte mitochondria, while the formation of foam cells aggravated mitochondrial damage. CONCLUSIONS Abnormal lipid metabolism and inflammatory response are distinctive features of comorbid AS and NAFLD. Hepatocyte steatosis causes mitochondrial damage, which leads to mitochondrial dysfunction, increased reactive oxygen species and activation of macrophage inflammatory response, resulting in the acceleration of AS development.
Animals ; Mice ; Non-alcoholic Fatty Liver Disease/metabolism* ; Cyclooxygenase 2/metabolism* ; PPAR gamma/metabolism* ; Reactive Oxygen Species/metabolism* ; Mice, Inbred C57BL ; Hepatocytes ; Macrophages/metabolism* ; Liver