Objective　To investigate the effect of andrographolide on enterovirus 71 (EV71) and coxsackievirus A16 (CA16) in vitro. Methods Cytopathic CPE assay and thiazolyl blue tetrazolium bromide (MTT) assay were used to determine the maximum non-toxic dose of andrographolide on RD cells and the inhibitory effect of andrographolide on EV71 and CA16 infection in vitro. The effects of andrographolide on the virus VP1 gene and cellular inflammatory factors (IL-1β, IL-6, and TNF-α) at gene levels were detected by quantitative fluorescence PCR. Results MTT results showed that the maximum non-toxic dose of andrographolide on RD cells was 78.00 μg/mL. Upon infection with hand-foot-mouth disease viruses, cells treated with andrographolide solutions at concentrations of 78.00, 39.00, 19.50, 9.75, 4.88, and 2.44 μg/mL showed increased survival rates to (82.41±1.76)%, (79.54±2.91)%, (81.02±1.99)%, (71.81±2.26)%, (52.87±1.51)%, and (50.41±0.93)% for EV71 and (81.00±0.64)%, (79.72±1.38)%, (61.59±3.47)%, (53.37±0.53)%, (52.41±1.37)%, and (43.69±0.40)% for CA16, respectively, indicating a significant reduction in the cytopathic effect caused by EV71 and CA16. When infected with hand-foot-mouth viruses and treated with andrographolide solutions at concentrations of 78.00, 39.00, 19.50, and 9.75 μg/mL, the expression levels of VP1 in EV71 and CA16, along with pro-inflammatory factors IL-1β, IL-6, and TNF-α in RD cells, were significantly lower compared to the virus control group. These results indicated that after infection with hand-foot-mouth viruses, treatment with andrographolide solution significantly inhibits the expression of the VP1 gene and reduces the mRNA levels of IL-1β, IL-6, and TNF-α. Conclusions Andrographolide exhibits obvious in vitro antiviral effects against EV71 and, potentially through the inhibition of the expression of pro-inflammatory factors IL-1β, TNF-α, and IL-6, thereby exerting its antiviral effects.

Objective To observe the value of parallel reverse enhance attention network module based on Kolmogorov-Arnold networks(KAN-PrdaModule)for segmenting polyps showed on colonoscopy images.Methods Nine hundred colonoscopy images in Kvasir-SEG dataset and 550 colonoscopy images in CVC-ClinicDB dataset were selected as training set(n=1 450),while 196 colonoscopy images in ETIS dataset,62 in CVC-ClinicDB dataset,380 in CVC-ColonDB dataset and 100 in Kvasir-SEG dataset were enrolled as test set(n=738).KAN-PrdaModule was proposed through improving U-Net,which improved detection accuracy through multi-scale feature fusion,and the value of KAN-PrdaModule for segmenting polyps showed on colonoscopy images was analyzed according to mean Dice similarity coefficient(mDSC),mean intersection over union(mIoU),weighted metric(Fωβ)and structural metric(Sα),and compared with U-Net,U-Net++,stochastic frontier analysis(SFA)and PraNet models.Results Among the above 5 models,the performance of SFA model for segmenting polyps on colonoscopy images was poor,with blurry edges of polyps and some ones were missed.U-Net and U-Net++models had decent performance,which could roughly identify polyps.PraNet model performed well,and the segmented edges of polyps were clear.KAN-PrdaModule had the best performance,showed high similarity to the true value images,with the best overall mDSC,mIoU,Fωβand Sα.Conclusion KAN-PrdaModule could effectively segment polyps showed on colonoscopy images,with segmenting effect better than U-Net,U-Net++,SFA and PraNet models.

BACKGROUND:Carnosic acid,a bioactive compound found in rosemary,has been shown to reduce inflammation and reactive oxygen species(ROS).However,its mechanism of action in osteoclast differentiation remains unclear. OBJECTIVE:To investigate the effects of carnosic acid on osteoclast activation,ROS production,and mitochondrial function. METHODS:Primary bone marrow-derived macrophages from mice were extracted and cultured in vitro.Different concentrations of carnosic acid(0,10,15,20,25 and 30 μmol/L)were tested for their effects on bone marrow-derived macrophage proliferation and toxicity using the cell counting kit-8 cell viability assay to determine a safe concentration.Bone marrow-derived macrophages were cultured in graded concentrations and induced by receptor activator of nuclear factor-κB ligand for osteoclast differentiation for 5-7 days.The effects of carnosic acid on osteoclast differentiation and function were then observed through tartrate-resistant acid phosphatase staining,F-actin staining,H2DCFDA probe and mitochondrial ROS,and Mito-Tracker fluorescence detection.Western blot and RT-PCR assays were subsequently conducted to examine the effects of carnosic acid on the upstream and downstream proteins of the receptor activator of nuclear factor-κB ligand-induced MAPK signaling pathway. RESULTS AND CONCLUSION:Tartrate-resistant acid phosphatase staining and F-actin staining showed that carnosic acid dose-dependently inhibited in vitro osteoclast differentiation and actin ring formation in the cell cytoskeleton,with the highest inhibitory effect observed in the high concentration group(30 μmol/L).Carnosic acid exhibited the most significant inhibitory effect during the early stages(days 1-3)of osteoclast differentiation compared to other intervention periods.Fluorescence imaging using the H2DCFDA probe,mitochondrial ROS,and Mito-Tracker demonstrated that carnosic acid inhibited cellular and mitochondrial ROS production while reducing mitochondrial membrane potential,thereby influencing mitochondrial function.The results of western blot and RT-PCR revealed that carnosic acid could suppress the expression of NFATc1,CTSK,MMP9,and C-fos proteins associated with osteoclast differentiation,and downregulate the expression of NFATc1,Atp6vod2,ACP5,CTSK,and C-fos genes related to osteoclast differentiation.Furthermore,carnosic acid enhanced the expression of antioxidant enzyme proteins and reduced the generation of ROS during the process of osteoclast differentiation.Overall,carnosic acid exerts its inhibitory effects on osteoclast differentiation by inhibiting the phosphorylation modification of the P38/ERK/JNK protein and activating the MAPK signaling pathway in bone marrow-derived macrophages.

Objective To evaluate the intravascular volume at different levels of edema and disease course by the fractional excretion of filtered sodium(FeNa)of children with primary nephrotic syndrome(PNS).Methods A total of 172 children with newly diagnosed PNS who were hospitalized in the Affiliated Hospital of Xuzhou Medical University from September 2022 to September 2024 were selected and divided into non-e-dema group(n=51),mild edema group(n=43),moderate edema group(n=46)and severe edema group(n=32)according to the degree of edema at the time of admission.A total of 40 healthy children who underwent physical examination during the same period were selected as the healthy control group.Serum creatinine,ser-um sodium were detected before and after treatment.Urine samples were collected to detect urine creatinine,urine sodium,FeNa was calculated and compared according to the results,and the degree of edema was recor-ded.24 h urine samples were collected on the same day to detect 24 h urine protein quantification and 24 h u-rine volume.Results On day 1 to 2 of the course of the disease,about 12%of the PNS children had FeNa<0.2%,indicating insufficient intravascular volume,which was mainly concentrated in the severe edema group.The moderate,severe edema group had a significantly lower FeNa level than the non-edema group,mild edema group,and healthy control group(P<0.01).The moderate edema group had a significant increase in FeNa on days 6 to 7 of the course of the disease,and the severe edema group had a significant increase in Fena on days 11 to 12 of the course of the disease(P<0.01).Conclusion Intravascular volume of PNS children with mod-erate to severe edema is often reduced,and intravascular volume may be insufficient in severe edema.PNS chil-dren with moderate to severe edema have increased intravascular volume with the extension of the course of disease and the improvement of the condition.

OBJECTIVE To analyze the blood components of Suanzaoren Decoction after oral administration using UHPLC-Q Exactive Orbitrap-MS technology.METHODS Female Sprague-Dawley(SD)rats were used as experimental subjects,and Suanza-oren Decoction was administered orally.Serum samples were collected,and the aqueous extract of Suanzaoren Decoction and the serum were analyzed using UHPLC-Q Exactive Orbitrap-MS technology to identify the prototype components and metabolites absorbed into the blood by comparing and analyzing with the LuMet-TCM database.RESULTS It showed that a total of 458 components were iden-tified in the aqueous extract of Suanzaoren Decoction,and 26 chemical components were identified in the blood,including 23 prototype components and 3 metabolites.CONCLUSION The prototype components absorbed into the blood discovered in this study may be the active ingredients of Suanzaoren Decoction,providing a reference for the research on the pharmacodynamic material basis of Suanza-oren Decoction.

Objective:To develop a novel ovarian biological age prediction model based on DNA methylation for ovarian aging assessment.Methods:A prospective cohort study method was used. From March 2024 to January 2025, we collected 96 ovarian granulosa cell samples of infertility patients due to fallopian tube factors or male factors from the Reproductive Medicine Center of the Second Affiliated Hospital of Naval Medical University. Then we analyzed DNA methylation patterns across five age-associated gene regions ( ELOVL2, miR29B2C, TRIM59, KLF14 and FHL2) in a discovery cohort comprising 63 human ovarian granulosa cell samples. Targeted bisulfite sequencing was performed through PCR amplification followed by next-generation DNA sequencing. Leveraging elastic net regression analysis, we developed a predictive model incorporating 29 methylation sites that demonstrated strong age correlation. The model was subsequently validated using an independent cohort comprising 33 human ovarian granulosa cell samples. Results:The DNA methylation age prediction model based on ovarian granulosa cells showed the following results in the discovery cohort as follows: median absolute error (MAE) was 2.534 ( R=0.742, P<0.001). In the independent validation cohort, MAE was 3.019 ( R=0.729, P<0.001). Conclusion:In this study, we utilized human ovarian granulosa cells as experimental samples to develop a novel DNA methylation-based model for predicting ovarian biological age. By integrating multiple methylation sites across five age-related gene regions, this model serves as a robust indicator of ovarian aging status.

Objective:To develop a novel ovarian biological age prediction model based on DNA methylation for ovarian aging assessment.Methods:A prospective cohort study method was used. From March 2024 to January 2025, we collected 96 ovarian granulosa cell samples of infertility patients due to fallopian tube factors or male factors from the Reproductive Medicine Center of the Second Affiliated Hospital of Naval Medical University. Then we analyzed DNA methylation patterns across five age-associated gene regions ( ELOVL2, miR29B2C, TRIM59, KLF14 and FHL2) in a discovery cohort comprising 63 human ovarian granulosa cell samples. Targeted bisulfite sequencing was performed through PCR amplification followed by next-generation DNA sequencing. Leveraging elastic net regression analysis, we developed a predictive model incorporating 29 methylation sites that demonstrated strong age correlation. The model was subsequently validated using an independent cohort comprising 33 human ovarian granulosa cell samples. Results:The DNA methylation age prediction model based on ovarian granulosa cells showed the following results in the discovery cohort as follows: median absolute error (MAE) was 2.534 ( R=0.742, P<0.001). In the independent validation cohort, MAE was 3.019 ( R=0.729, P<0.001). Conclusion:In this study, we utilized human ovarian granulosa cells as experimental samples to develop a novel DNA methylation-based model for predicting ovarian biological age. By integrating multiple methylation sites across five age-related gene regions, this model serves as a robust indicator of ovarian aging status.

OBJECTIVE To analyze the blood components of Suanzaoren Decoction after oral administration using UHPLC-Q Exactive Orbitrap-MS technology.METHODS Female Sprague-Dawley(SD)rats were used as experimental subjects,and Suanza-oren Decoction was administered orally.Serum samples were collected,and the aqueous extract of Suanzaoren Decoction and the serum were analyzed using UHPLC-Q Exactive Orbitrap-MS technology to identify the prototype components and metabolites absorbed into the blood by comparing and analyzing with the LuMet-TCM database.RESULTS It showed that a total of 458 components were iden-tified in the aqueous extract of Suanzaoren Decoction,and 26 chemical components were identified in the blood,including 23 prototype components and 3 metabolites.CONCLUSION The prototype components absorbed into the blood discovered in this study may be the active ingredients of Suanzaoren Decoction,providing a reference for the research on the pharmacodynamic material basis of Suanza-oren Decoction.

Objective To observe the value of parallel reverse enhance attention network module based on Kolmogorov-Arnold networks(KAN-PrdaModule)for segmenting polyps showed on colonoscopy images.Methods Nine hundred colonoscopy images in Kvasir-SEG dataset and 550 colonoscopy images in CVC-ClinicDB dataset were selected as training set(n=1 450),while 196 colonoscopy images in ETIS dataset,62 in CVC-ClinicDB dataset,380 in CVC-ColonDB dataset and 100 in Kvasir-SEG dataset were enrolled as test set(n=738).KAN-PrdaModule was proposed through improving U-Net,which improved detection accuracy through multi-scale feature fusion,and the value of KAN-PrdaModule for segmenting polyps showed on colonoscopy images was analyzed according to mean Dice similarity coefficient(mDSC),mean intersection over union(mIoU),weighted metric(Fωβ)and structural metric(Sα),and compared with U-Net,U-Net++,stochastic frontier analysis(SFA)and PraNet models.Results Among the above 5 models,the performance of SFA model for segmenting polyps on colonoscopy images was poor,with blurry edges of polyps and some ones were missed.U-Net and U-Net++models had decent performance,which could roughly identify polyps.PraNet model performed well,and the segmented edges of polyps were clear.KAN-PrdaModule had the best performance,showed high similarity to the true value images,with the best overall mDSC,mIoU,Fωβand Sα.Conclusion KAN-PrdaModule could effectively segment polyps showed on colonoscopy images,with segmenting effect better than U-Net,U-Net++,SFA and PraNet models.

Lung cancer ranks among the most prevalent and deadliest malignancies worldwide.Despite significant strides in targeted therapies and immunotherapy for lung cancer,curing the disease remains a highly prioritized issue.Circular RNAs(circRNAs),recently discovered RNA molecules characterized by covalently closed loop structures,possess features such as structural stability,sequence conservation,and disease-specific expression.Cutting-edge medical research has linked circRNA dysregulation to the progression of various cancers.Among these,circular RNA HIPK3(circHIPK3),an oncogenic gene primarily derived from the second exon of the HIPK3 gene,has emerged as a focal point of investigation.Increasing evi-dences suggest that circHIPK3 is involved in the development of non-small cell lung cancer(NSCLC)and other malignancies.Aberrant expression of circHIPK3 is closely associated with the disease mechanisms,diagnosis,treatment,and prognosis of NSCLC.This review discusses the latest research advancements on circHIPK3 in NSCLC,aiming to promote precise diagnosis and treatment of lung cancer.