ObjectiveTo evaluate the quality of Lygodium japonicum (Thunb.) Sw. (L. japonicum, Hai Jin Sha) by comparing its components without stewed (W) and stewed (S) using ultra-high-performance liquid chromatography (UHPLC) and chemometric analysis. Additionally, network pharmacology was employed to investigate the possible mechanisms of action of L. japonicum in the urinary calculi (UC) treatment.MethodsA fingerprinting method was established to identify components through UHPLC-tandem mass spectrometry. Chemometric techniques were used to compare the L. japonicum extraction methods. Furthermore, various network pharmacological approaches were used to identify and analyze the potential targets of the identified components in relation to UC.ResultsThe W and S extracts were distributed into two distinct clusters. Significant differences in the levels of protocatechuic aldehyde, caffeic acid, and p-coumaric acid were observed between S and W. Network pharmacology analysis revealed that the primary targets of L. japonicum in the UC treatment were serum albumin and epidermal growth factor receptors, with potential active components including protocatechuic acid and caffeic acid.ConclusionThis study comprehensively examined the therapeutic components of L. japonicum before and after boiling, shedding light on its potential mechanisms of action in UC treatment. These findings offer valuable insights into the development and utilization of L. japonicum resources.

Fabry disease, a rare genetic disorder affecting multiple organs, has understudied correlations among enzyme activity, genotype, and clinical manifestations in patients of different sexes with classical and late-onset phenotypes. In this study, clinical data, α-Gal A activity, and GLA gene test results of 311 patients, who were categorized by classical and late-onset phenotypes, ⩽5% and > 5% of the normal mean value of enzyme activity, and truncated and nontruncated mutation groups, were collected. The common clinical manifestations of Fabry disease included acroparesthesia, hypohidrosis/anhidrosis, neuropsychiatric system, and renal and cardiovascular involvement. Multiorgan involvement was higher in males and classical phenotype patients. In both sexes, classical patients commonly presented with acroparesthesia and multiorgan involvement, whereas late-onset patients showed renal, neuropsychiatric, and cardiovascular involvement. Male and classical patients had lower enzyme activity than female and late-onset patients, respectively. Classical males with enzyme activity of ⩽5% of the normal mean level showed higher multiorgan involvement frequency than those with enzyme activity of > 5%, whereas no significant difference was observed among females. Ninety-five gene mutation sites were detected, with significant phenotype heterogeneity in patients with the same mutation. No significant difference in enzyme activity or clinical manifestations was observed between truncated and nontruncated mutations. Overall, male patients with Fabry disease, regardless of classical or late-onset phenotype, have a higher frequency of multiple-organ involvement and lower α-Gal A activity than female patients. α-Gal A activity was closely correlated with clinical symptoms in males but weakly correlated with clinical manifestations in females. The clinical manifestations of patients with the same mutation are heterogeneous, and the correlation between gene mutation and enzyme activity or clinical manifestation is weak.
Adolescent ; Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Young Adult ; Age of Onset ; alpha-Galactosidase/metabolism* ; China ; Fabry Disease/enzymology* ; Genotype ; Mutation ; Phenotype ; Sex Factors ; East Asian People/genetics*

Objective To investigate the effect of the mutant of adenovirus-mediated HIF-1α triple mutant(Ad-HIF-1α-Trip)on the apoptosis of H9c2 cardiomyocytes under high glucose and hypoxia conditions.Methods H9c2 cardiomyocytes were cultured under hypoxic conditions in vitro and randomly divided into four groups based on glucose concentration and viral transfection status:low oxygen+normal glucose concentration group(LO+NG group),low oxygen+high glucose concentration group(LO+HG group),low oxygen+high glucose+adenoviral null vector group(LO+HG+Ad-Null group),and low oxygen+high glucose+adenovirus HIF-1α triple mutant group(LO+HG+Ad-HIF-1α-Trip group).After 12 hours of hypoxia,HIF-1α,PI3K,and Akt expression were measured via qRT-PCR and Western blot,and apoptosis of H9c2 cardiomyocytes was assessed by flow cytometry.Results HIF-1α,PI3K,and Akt expression decreased in cardiomyocytes under high glucose and hypoxia,while Ad-HIF-1 α-Trip enhanced their expression.Flow cytometry revealed increased apoptosis under high glucose and hypoxia,which was reduced by Ad-HIF-1α-Trip.Conclusion Ad-HIF-1α-Trip upregulates HIF-1α,PI3K,and Akt in H9c2 cardiomyocytes under high glucose and hypoxia,likely reducing apoptosis via PI3K-Akt pathway activation.

Oral and maxillofacial CBCT(cone beam computed tomography)as a kind of oral imaging techniques,can accurately show the tooth pulp in an all-round way.Especially for showingthe morphologyof special root canals,it has incomparable advantages over two-dimensional X ray film.With the development of digital technology and artificial intelligence technology,CBCT has been widely used in stomatology.In this paper,we will systematically review the applicationprogress of CBCT combined with oral digital technology and arti-ficial intelligence technology,with a view to providing references for clinical diagnosis and treatmentand technical development of the discipline.

Background and Aims:Postoperative pancreatic fistula(POPF)is one of the most severe and common complications following pancreaticoduodenectomy(PD)and is a major cause of mortality after PD.Given the multiple risk factors associated with PD-POPF,developing an effective predictive model is of significant clinical importance.This study was conducted to explore the predictive performance of the triglyceride-glucose(TyG)index combined with serological indicators for POPF following PD.Methods:The preoperative general data,laboratory indicators within one week before surgery,and postoperative complication data of 291 patients who underwent PD at the Department of General Surgery,Second Hospital of Lanzhou University,from January 2019 to June 2024,were retrospectively collected.Patients were randomly divided into a modeling group(203 cases)and a validation group(88 cases)using a computer-generated random number method at a 7∶3 ratio.Univariate Logistic regression and multivariate binary Logistic regression(Back-Wald method)were performed on the modeling group data.Based on regression analysis results,a predictive model was constructed and visualized using a nomogram.The discriminative ability of the nomogram model was evaluated by the area under the receiver operating characteristic(ROC)curve(AUC).A calibration curve was used to assess the agreement between predicted and actual probabilities,and a decision curve analysis was conducted to evaluate the clinical application value of the model.Subgroup analysis was performed on potential factors influencing the outcome variables.Results:Among the 291 patients,70 developed POPF,with 49 cases in the modeling group and 21 in the validation group.There was no statistically significant difference between the two groups(all P>0.05).Univariate analysis in the modeling group identified body mass index(BMI),triglycerides,TyG index,albumin(ALB),platelet count(PLT),absolute lymphocyte count(LYM),and absolute neutrophil count(NEUT)as significant factors associated with POPF(all P<0.05).Multivariate analysis revealed that BMI,TyG index,ALB,PLT,LYM,and NEUT were independent influencing factors for POPF(all P<0.05).A PD-POPF risk prediction model and nomogram were constructed based on these results.The model achieved an AUC of 0.80(0.73-0.86),and when applied to the validation group,the ROC analysis yielded an AUC of 0.80(0.70-0.90).The calibration curves of both the modeling and validation groups closely aligned with the standard curve.Subgroup analysis indicated that tumor nature and tumor stage had minimal impact on PD-POPF risk factors,demonstrating good model stability.Conclusion:The TyG index,along with BMI,PLT,NEUT,ALB,and LYM,is closely associated with PD-POPF occurrence.The risk prediction model based on the TyG index and these influencing factors exhibits good predictive performance and holds significant clinical value for guiding early intervention.

Objective:To investigate the relationship between macrophage activation related factors and clini-cal symptoms of schizophrenia(SCZ).Methods:Outpatient or inpatient SCZ patients(n=166)and normal con-trols(n=71)meeting the diagnostic criteria of DSM 4th edition were selected as subjects.The psychopathological symptoms were assessed by the Positive and Negative Syndrome Scale(PANSS),and the concentrations of α-Na-Galases,MAF and IL-18 were determined by enzyme-linked immunosorbent assay(ELISA).The correlation be-tween biological indicators and clinical symptoms was analyzed and the mediation effect was tested.Results:The concentrations of α-NaGalases(P＜0.001)and MAF(P＜0.01)in SCZ group were lower than those in normal control group.In SCZ group,IL-18 was negatively correlated with α-NaGalases concentration(r=-0.24,P＜0.01).α-NaGalases was positively correlated with MAF concentration(r=0.67,P＜0.001),and the total score of PANSS positive symptom scale was positively correlated with IL-18(r=0.21,P＜0.05)and MAF concentration(r=0.22,P＜0.01).The mediating effect of α-NaGalases and MAF was statistically significant,and the relative mediating effect accounted for 25.47％.Conclusion:The increase of IL-18 level may indicate the occurrence of positive symptoms of schizophrenia,and α-NaGalases and MAF may negatively regulate the inflammatory damage effect of IL-18 on SCZ,thereby reducing the positive symptoms.

Background and Aims:Postoperative pancreatic fistula(POPF)is one of the most severe and common complications following pancreaticoduodenectomy(PD)and is a major cause of mortality after PD.Given the multiple risk factors associated with PD-POPF,developing an effective predictive model is of significant clinical importance.This study was conducted to explore the predictive performance of the triglyceride-glucose(TyG)index combined with serological indicators for POPF following PD.Methods:The preoperative general data,laboratory indicators within one week before surgery,and postoperative complication data of 291 patients who underwent PD at the Department of General Surgery,Second Hospital of Lanzhou University,from January 2019 to June 2024,were retrospectively collected.Patients were randomly divided into a modeling group(203 cases)and a validation group(88 cases)using a computer-generated random number method at a 7∶3 ratio.Univariate Logistic regression and multivariate binary Logistic regression(Back-Wald method)were performed on the modeling group data.Based on regression analysis results,a predictive model was constructed and visualized using a nomogram.The discriminative ability of the nomogram model was evaluated by the area under the receiver operating characteristic(ROC)curve(AUC).A calibration curve was used to assess the agreement between predicted and actual probabilities,and a decision curve analysis was conducted to evaluate the clinical application value of the model.Subgroup analysis was performed on potential factors influencing the outcome variables.Results:Among the 291 patients,70 developed POPF,with 49 cases in the modeling group and 21 in the validation group.There was no statistically significant difference between the two groups(all P>0.05).Univariate analysis in the modeling group identified body mass index(BMI),triglycerides,TyG index,albumin(ALB),platelet count(PLT),absolute lymphocyte count(LYM),and absolute neutrophil count(NEUT)as significant factors associated with POPF(all P<0.05).Multivariate analysis revealed that BMI,TyG index,ALB,PLT,LYM,and NEUT were independent influencing factors for POPF(all P<0.05).A PD-POPF risk prediction model and nomogram were constructed based on these results.The model achieved an AUC of 0.80(0.73-0.86),and when applied to the validation group,the ROC analysis yielded an AUC of 0.80(0.70-0.90).The calibration curves of both the modeling and validation groups closely aligned with the standard curve.Subgroup analysis indicated that tumor nature and tumor stage had minimal impact on PD-POPF risk factors,demonstrating good model stability.Conclusion:The TyG index,along with BMI,PLT,NEUT,ALB,and LYM,is closely associated with PD-POPF occurrence.The risk prediction model based on the TyG index and these influencing factors exhibits good predictive performance and holds significant clinical value for guiding early intervention.

Objective To explore the influencing factors of frailty among the health check-up elder-ly participants from our outpatient clinic.Methods A total of 710 elderly individuals(≥60 years old)who taking health check-up in our outpatient department between April and August 2022 were consecutively enrolled,and according to the results of Fried Frailty Phenotype Scale,they were divided into non-frailty group(422 cases),pre-frailty group(225 cases)and frailty group(63 cases).Their general clinical data,laboratory indicators and echocardiographic parameters were collected,and multivariate logistic regression analysis was applied to identify the independent in-fluencing factors for pre-frailty and frailty.Results The overall prevalence of pre-frailty and frail-ty was 31.7％and 8.9％,respectively.The pre-frailty and frailty groups had obviously larger left atrial anterior-posterior diameter and left ventricular end diastolic diameter and lower left ventric-ular ejection fraction when compared with the non-frailty group(P＜0.05).Multivariate logistic regression analysis showed that Hb was a protective factor for pre-frailty in the elderly partici-pants(OR=0.984,95％CI:0.966-0.992,P=0.048),while age(OR=1.064),CCI(OR=1.387)and LAAP(OR=1.059)were risk factors for pre-frailty in them(P＜0.05,P＜0.01).Serum albumin was a protective factor for frailty(OR=0.823,95％CI:0.728-0.931,P=0.002),but age(OR=1.081),CCI(OR=1.458),left atrial anterior-posterior diameter(OR=1.249)and NT-proBNP(OR=1.652)were independent risk factors for frailty(P＜0.05,P＜0.01).Conclusion There are differences in influencing factors for frailty of different severity,and the status of frailty is related to factors such as age,comorbidity,cardiac function and nutritional sta-tus.Therefore,comprehensive interventions should be implemented as early as possible for the elderly occurrence of pre-frailty so as to prevent and reverse frailty at the same time.

Objective:To investigate the relationship between macrophage activation related factors and clini-cal symptoms of schizophrenia(SCZ).Methods:Outpatient or inpatient SCZ patients(n=166)and normal con-trols(n=71)meeting the diagnostic criteria of DSM 4th edition were selected as subjects.The psychopathological symptoms were assessed by the Positive and Negative Syndrome Scale(PANSS),and the concentrations of α-Na-Galases,MAF and IL-18 were determined by enzyme-linked immunosorbent assay(ELISA).The correlation be-tween biological indicators and clinical symptoms was analyzed and the mediation effect was tested.Results:The concentrations of α-NaGalases(P＜0.001)and MAF(P＜0.01)in SCZ group were lower than those in normal control group.In SCZ group,IL-18 was negatively correlated with α-NaGalases concentration(r=-0.24,P＜0.01).α-NaGalases was positively correlated with MAF concentration(r=0.67,P＜0.001),and the total score of PANSS positive symptom scale was positively correlated with IL-18(r=0.21,P＜0.05)and MAF concentration(r=0.22,P＜0.01).The mediating effect of α-NaGalases and MAF was statistically significant,and the relative mediating effect accounted for 25.47％.Conclusion:The increase of IL-18 level may indicate the occurrence of positive symptoms of schizophrenia,and α-NaGalases and MAF may negatively regulate the inflammatory damage effect of IL-18 on SCZ,thereby reducing the positive symptoms.

Objective To investigate the effect of the mutant of adenovirus-mediated HIF-1α triple mutant(Ad-HIF-1α-Trip)on the apoptosis of H9c2 cardiomyocytes under high glucose and hypoxia conditions.Methods H9c2 cardiomyocytes were cultured under hypoxic conditions in vitro and randomly divided into four groups based on glucose concentration and viral transfection status:low oxygen+normal glucose concentration group(LO+NG group),low oxygen+high glucose concentration group(LO+HG group),low oxygen+high glucose+adenoviral null vector group(LO+HG+Ad-Null group),and low oxygen+high glucose+adenovirus HIF-1α triple mutant group(LO+HG+Ad-HIF-1α-Trip group).After 12 hours of hypoxia,HIF-1α,PI3K,and Akt expression were measured via qRT-PCR and Western blot,and apoptosis of H9c2 cardiomyocytes was assessed by flow cytometry.Results HIF-1α,PI3K,and Akt expression decreased in cardiomyocytes under high glucose and hypoxia,while Ad-HIF-1 α-Trip enhanced their expression.Flow cytometry revealed increased apoptosis under high glucose and hypoxia,which was reduced by Ad-HIF-1α-Trip.Conclusion Ad-HIF-1α-Trip upregulates HIF-1α,PI3K,and Akt in H9c2 cardiomyocytes under high glucose and hypoxia,likely reducing apoptosis via PI3K-Akt pathway activation.