Objective To identify biomarkers that characterize its bitter-cold properties of Scutellaria Radix on the basis of evaluating its cold and hot properties,as well as possible metabolic pathways and related targets;To explore its molecular mechanism.Methods Totally 40 mice were randomly divided into a control group and a treatment group,and were orally administered with normal saline and Scutellaria Radix decoction,respectively,for 4 consecutive days.The cold and hot plate differential method was used to evaluate the cold and hot tendencies of the mice;UPLC-MS/MS technology was used to analyze mouse blood samples,differential metabolites were screened using principal component analysis,partial least squares discriminant analysis and orthogonal partial least squares discriminant analysis methods,and metabolic pathway analysis was performed;network modular analysis of differential metabolites was performed using Cytoscape 3.9.0 software to identify potential molecular targets.Results On the second day of administration,the anal temperature of mice in the treatment group decreased significantly compared to the control group(P<0.01);in the cold and hot tendency test,the mice in the treatment group showed an overall increase in high-temperature tendency and a higher proportion of high-temperature zone retention.There was a statistically significant difference(P<0.01,P<0.05)between the treatment group and the control group on the 2nd and 3rd day of treatment;the pattern recognition analysis of serum metabolome data showed that the serum samples of the treatment group and the control group could be completely separated,and a total of 14 differential metabolites were screened out;metabolic pathway analysis identified 16 related pathways,including unsaturated fatty acid biosynthesis,linoleic acid metabolism,citric acid cycle(TCA cycle),arachidonic acid metabolism,glycine,serine and threonine metabolism,steroid hormone biosynthesis,etc.;a total of 16 modules were obtained through network modular analysis,among which the arachidonic acid metabolism pathway and linoleic acid metabolism pathway modules were larger;the nodal degree values of arachidonic acid and linoleic acid were greater than the mean,involving arachidonic acid metabolism and linoleic acid metabolism pathways;by screening 26 genes associated with the cytochrome P450 enzyme system were obtained.Conclusion Scutellaria Radix may regulate the body's energy metabolism,achieve its biological effects,and characterize its medicinal properties by intervening in metabolic pathways such as arachidonic acid and linoleic acid.

Objective To identify biomarkers that characterize its bitter-cold properties of Scutellaria Radix on the basis of evaluating its cold and hot properties,as well as possible metabolic pathways and related targets;To explore its molecular mechanism.Methods Totally 40 mice were randomly divided into a control group and a treatment group,and were orally administered with normal saline and Scutellaria Radix decoction,respectively,for 4 consecutive days.The cold and hot plate differential method was used to evaluate the cold and hot tendencies of the mice;UPLC-MS/MS technology was used to analyze mouse blood samples,differential metabolites were screened using principal component analysis,partial least squares discriminant analysis and orthogonal partial least squares discriminant analysis methods,and metabolic pathway analysis was performed;network modular analysis of differential metabolites was performed using Cytoscape 3.9.0 software to identify potential molecular targets.Results On the second day of administration,the anal temperature of mice in the treatment group decreased significantly compared to the control group(P<0.01);in the cold and hot tendency test,the mice in the treatment group showed an overall increase in high-temperature tendency and a higher proportion of high-temperature zone retention.There was a statistically significant difference(P<0.01,P<0.05)between the treatment group and the control group on the 2nd and 3rd day of treatment;the pattern recognition analysis of serum metabolome data showed that the serum samples of the treatment group and the control group could be completely separated,and a total of 14 differential metabolites were screened out;metabolic pathway analysis identified 16 related pathways,including unsaturated fatty acid biosynthesis,linoleic acid metabolism,citric acid cycle(TCA cycle),arachidonic acid metabolism,glycine,serine and threonine metabolism,steroid hormone biosynthesis,etc.;a total of 16 modules were obtained through network modular analysis,among which the arachidonic acid metabolism pathway and linoleic acid metabolism pathway modules were larger;the nodal degree values of arachidonic acid and linoleic acid were greater than the mean,involving arachidonic acid metabolism and linoleic acid metabolism pathways;by screening 26 genes associated with the cytochrome P450 enzyme system were obtained.Conclusion Scutellaria Radix may regulate the body's energy metabolism,achieve its biological effects,and characterize its medicinal properties by intervening in metabolic pathways such as arachidonic acid and linoleic acid.

Objective:To investigate the effect of three-layer suturing of myometrium on the size of diverticu-lum after cesarean section and the related factors of the formation of uterine incision diverticulum(CSD).Meth-ods:The clinical data of 240 parturients who underwent cesarean section in Wuhu Hospital affiliated to East China normal University from April to November 2022 were analyzed retrospectively.According to the different suture methods of myometrium,they were divided into three-layer suture group(n=124)and double-layer suture group(n=116).According to the formation of CSD after operation,the parturients were divided into CSD group(n=23)and non-CSD group(n=217).The clinical characteristics of parturients in three-layer suture group and doub-le-layer suture group were compared.Multivariate Logistic regression were used to analyze the independent fac-tors affecting the formation of CSD and an artificial neural network model was constructed.The model was verified by receiver operating characteristics(ROC),calibration curve and clinical decision curve.Results:①The thick-ness of myometrium scar in the three-layer suture group was significantly higher than that in the double-layer su-ture group(7.06±2.09 mm vs.5.68±1.97 mm),while the formation of CSD(4.03％vs.15.52％)and the size of diverticulum(0.36±0.09 ml vs.0.47±0.12 ml)were significantly lower than those in the double-layer suture group(P＜0.05).②Multivariate analysis showed that retroflexion of uterus,cesarean section frequency ≥2 times,premature rupture of membranes,perinatal infection and timing of cesarean section were independent risk factors for the formation of CSD(OR＞1,P＜0 05),while three layer suture of myometrium was a protective factor(OR＜1,P＜0.05).③The artificial neural network prediction model showed that the weights of cesarean section frequency,premature rupture of membranes and three-layer suture were higher.The ROC curve,calibration curve,and clinical decision curve validation showed that the model had good predictive ability.Conclusions:The formation of CSD is related to indicators such as retroflexion of uterus,times of cesarean section,premature rup-ture of membranes,perinatal infection and timing of cesarean section.Clinical attention should be focused on this.In addition,three-layer suture of myometrium can reduce the probability of formation of CSD,which is worth popu-larizing and application in clinic.

Objective:To investigate the effect of three-layer suturing of myometrium on the size of diverticu-lum after cesarean section and the related factors of the formation of uterine incision diverticulum(CSD).Meth-ods:The clinical data of 240 parturients who underwent cesarean section in Wuhu Hospital affiliated to East China normal University from April to November 2022 were analyzed retrospectively.According to the different suture methods of myometrium,they were divided into three-layer suture group(n=124)and double-layer suture group(n=116).According to the formation of CSD after operation,the parturients were divided into CSD group(n=23)and non-CSD group(n=217).The clinical characteristics of parturients in three-layer suture group and doub-le-layer suture group were compared.Multivariate Logistic regression were used to analyze the independent fac-tors affecting the formation of CSD and an artificial neural network model was constructed.The model was verified by receiver operating characteristics(ROC),calibration curve and clinical decision curve.Results:①The thick-ness of myometrium scar in the three-layer suture group was significantly higher than that in the double-layer su-ture group(7.06±2.09 mm vs.5.68±1.97 mm),while the formation of CSD(4.03％vs.15.52％)and the size of diverticulum(0.36±0.09 ml vs.0.47±0.12 ml)were significantly lower than those in the double-layer suture group(P＜0.05).②Multivariate analysis showed that retroflexion of uterus,cesarean section frequency ≥2 times,premature rupture of membranes,perinatal infection and timing of cesarean section were independent risk factors for the formation of CSD(OR＞1,P＜0 05),while three layer suture of myometrium was a protective factor(OR＜1,P＜0.05).③The artificial neural network prediction model showed that the weights of cesarean section frequency,premature rupture of membranes and three-layer suture were higher.The ROC curve,calibration curve,and clinical decision curve validation showed that the model had good predictive ability.Conclusions:The formation of CSD is related to indicators such as retroflexion of uterus,times of cesarean section,premature rup-ture of membranes,perinatal infection and timing of cesarean section.Clinical attention should be focused on this.In addition,three-layer suture of myometrium can reduce the probability of formation of CSD,which is worth popu-larizing and application in clinic.

Objective:To investigate the effect of three-layer suturing of myometrium on the size of diverticu-lum after cesarean section and the related factors of the formation of uterine incision diverticulum(CSD).Meth-ods:The clinical data of 240 parturients who underwent cesarean section in Wuhu Hospital affiliated to East China normal University from April to November 2022 were analyzed retrospectively.According to the different suture methods of myometrium,they were divided into three-layer suture group(n=124)and double-layer suture group(n=116).According to the formation of CSD after operation,the parturients were divided into CSD group(n=23)and non-CSD group(n=217).The clinical characteristics of parturients in three-layer suture group and doub-le-layer suture group were compared.Multivariate Logistic regression were used to analyze the independent fac-tors affecting the formation of CSD and an artificial neural network model was constructed.The model was verified by receiver operating characteristics(ROC),calibration curve and clinical decision curve.Results:①The thick-ness of myometrium scar in the three-layer suture group was significantly higher than that in the double-layer su-ture group(7.06±2.09 mm vs.5.68±1.97 mm),while the formation of CSD(4.03％vs.15.52％)and the size of diverticulum(0.36±0.09 ml vs.0.47±0.12 ml)were significantly lower than those in the double-layer suture group(P＜0.05).②Multivariate analysis showed that retroflexion of uterus,cesarean section frequency ≥2 times,premature rupture of membranes,perinatal infection and timing of cesarean section were independent risk factors for the formation of CSD(OR＞1,P＜0 05),while three layer suture of myometrium was a protective factor(OR＜1,P＜0.05).③The artificial neural network prediction model showed that the weights of cesarean section frequency,premature rupture of membranes and three-layer suture were higher.The ROC curve,calibration curve,and clinical decision curve validation showed that the model had good predictive ability.Conclusions:The formation of CSD is related to indicators such as retroflexion of uterus,times of cesarean section,premature rup-ture of membranes,perinatal infection and timing of cesarean section.Clinical attention should be focused on this.In addition,three-layer suture of myometrium can reduce the probability of formation of CSD,which is worth popu-larizing and application in clinic.

Objective:To investigate the effect of three-layer suturing of myometrium on the size of diverticu-lum after cesarean section and the related factors of the formation of uterine incision diverticulum(CSD).Meth-ods:The clinical data of 240 parturients who underwent cesarean section in Wuhu Hospital affiliated to East China normal University from April to November 2022 were analyzed retrospectively.According to the different suture methods of myometrium,they were divided into three-layer suture group(n=124)and double-layer suture group(n=116).According to the formation of CSD after operation,the parturients were divided into CSD group(n=23)and non-CSD group(n=217).The clinical characteristics of parturients in three-layer suture group and doub-le-layer suture group were compared.Multivariate Logistic regression were used to analyze the independent fac-tors affecting the formation of CSD and an artificial neural network model was constructed.The model was verified by receiver operating characteristics(ROC),calibration curve and clinical decision curve.Results:①The thick-ness of myometrium scar in the three-layer suture group was significantly higher than that in the double-layer su-ture group(7.06±2.09 mm vs.5.68±1.97 mm),while the formation of CSD(4.03％vs.15.52％)and the size of diverticulum(0.36±0.09 ml vs.0.47±0.12 ml)were significantly lower than those in the double-layer suture group(P＜0.05).②Multivariate analysis showed that retroflexion of uterus,cesarean section frequency ≥2 times,premature rupture of membranes,perinatal infection and timing of cesarean section were independent risk factors for the formation of CSD(OR＞1,P＜0 05),while three layer suture of myometrium was a protective factor(OR＜1,P＜0.05).③The artificial neural network prediction model showed that the weights of cesarean section frequency,premature rupture of membranes and three-layer suture were higher.The ROC curve,calibration curve,and clinical decision curve validation showed that the model had good predictive ability.Conclusions:The formation of CSD is related to indicators such as retroflexion of uterus,times of cesarean section,premature rup-ture of membranes,perinatal infection and timing of cesarean section.Clinical attention should be focused on this.In addition,three-layer suture of myometrium can reduce the probability of formation of CSD,which is worth popu-larizing and application in clinic.

Objective:To investigate the effect of three-layer suturing of myometrium on the size of diverticu-lum after cesarean section and the related factors of the formation of uterine incision diverticulum(CSD).Meth-ods:The clinical data of 240 parturients who underwent cesarean section in Wuhu Hospital affiliated to East China normal University from April to November 2022 were analyzed retrospectively.According to the different suture methods of myometrium,they were divided into three-layer suture group(n=124)and double-layer suture group(n=116).According to the formation of CSD after operation,the parturients were divided into CSD group(n=23)and non-CSD group(n=217).The clinical characteristics of parturients in three-layer suture group and doub-le-layer suture group were compared.Multivariate Logistic regression were used to analyze the independent fac-tors affecting the formation of CSD and an artificial neural network model was constructed.The model was verified by receiver operating characteristics(ROC),calibration curve and clinical decision curve.Results:①The thick-ness of myometrium scar in the three-layer suture group was significantly higher than that in the double-layer su-ture group(7.06±2.09 mm vs.5.68±1.97 mm),while the formation of CSD(4.03％vs.15.52％)and the size of diverticulum(0.36±0.09 ml vs.0.47±0.12 ml)were significantly lower than those in the double-layer suture group(P＜0.05).②Multivariate analysis showed that retroflexion of uterus,cesarean section frequency ≥2 times,premature rupture of membranes,perinatal infection and timing of cesarean section were independent risk factors for the formation of CSD(OR＞1,P＜0 05),while three layer suture of myometrium was a protective factor(OR＜1,P＜0.05).③The artificial neural network prediction model showed that the weights of cesarean section frequency,premature rupture of membranes and three-layer suture were higher.The ROC curve,calibration curve,and clinical decision curve validation showed that the model had good predictive ability.Conclusions:The formation of CSD is related to indicators such as retroflexion of uterus,times of cesarean section,premature rup-ture of membranes,perinatal infection and timing of cesarean section.Clinical attention should be focused on this.In addition,three-layer suture of myometrium can reduce the probability of formation of CSD,which is worth popu-larizing and application in clinic.

Objective:To investigate the effect of three-layer suturing of myometrium on the size of diverticu-lum after cesarean section and the related factors of the formation of uterine incision diverticulum(CSD).Meth-ods:The clinical data of 240 parturients who underwent cesarean section in Wuhu Hospital affiliated to East China normal University from April to November 2022 were analyzed retrospectively.According to the different suture methods of myometrium,they were divided into three-layer suture group(n=124)and double-layer suture group(n=116).According to the formation of CSD after operation,the parturients were divided into CSD group(n=23)and non-CSD group(n=217).The clinical characteristics of parturients in three-layer suture group and doub-le-layer suture group were compared.Multivariate Logistic regression were used to analyze the independent fac-tors affecting the formation of CSD and an artificial neural network model was constructed.The model was verified by receiver operating characteristics(ROC),calibration curve and clinical decision curve.Results:①The thick-ness of myometrium scar in the three-layer suture group was significantly higher than that in the double-layer su-ture group(7.06±2.09 mm vs.5.68±1.97 mm),while the formation of CSD(4.03％vs.15.52％)and the size of diverticulum(0.36±0.09 ml vs.0.47±0.12 ml)were significantly lower than those in the double-layer suture group(P＜0.05).②Multivariate analysis showed that retroflexion of uterus,cesarean section frequency ≥2 times,premature rupture of membranes,perinatal infection and timing of cesarean section were independent risk factors for the formation of CSD(OR＞1,P＜0 05),while three layer suture of myometrium was a protective factor(OR＜1,P＜0.05).③The artificial neural network prediction model showed that the weights of cesarean section frequency,premature rupture of membranes and three-layer suture were higher.The ROC curve,calibration curve,and clinical decision curve validation showed that the model had good predictive ability.Conclusions:The formation of CSD is related to indicators such as retroflexion of uterus,times of cesarean section,premature rup-ture of membranes,perinatal infection and timing of cesarean section.Clinical attention should be focused on this.In addition,three-layer suture of myometrium can reduce the probability of formation of CSD,which is worth popu-larizing and application in clinic.

Objective:To investigate the effect of three-layer suturing of myometrium on the size of diverticu-lum after cesarean section and the related factors of the formation of uterine incision diverticulum(CSD).Meth-ods:The clinical data of 240 parturients who underwent cesarean section in Wuhu Hospital affiliated to East China normal University from April to November 2022 were analyzed retrospectively.According to the different suture methods of myometrium,they were divided into three-layer suture group(n=124)and double-layer suture group(n=116).According to the formation of CSD after operation,the parturients were divided into CSD group(n=23)and non-CSD group(n=217).The clinical characteristics of parturients in three-layer suture group and doub-le-layer suture group were compared.Multivariate Logistic regression were used to analyze the independent fac-tors affecting the formation of CSD and an artificial neural network model was constructed.The model was verified by receiver operating characteristics(ROC),calibration curve and clinical decision curve.Results:①The thick-ness of myometrium scar in the three-layer suture group was significantly higher than that in the double-layer su-ture group(7.06±2.09 mm vs.5.68±1.97 mm),while the formation of CSD(4.03％vs.15.52％)and the size of diverticulum(0.36±0.09 ml vs.0.47±0.12 ml)were significantly lower than those in the double-layer suture group(P＜0.05).②Multivariate analysis showed that retroflexion of uterus,cesarean section frequency ≥2 times,premature rupture of membranes,perinatal infection and timing of cesarean section were independent risk factors for the formation of CSD(OR＞1,P＜0 05),while three layer suture of myometrium was a protective factor(OR＜1,P＜0.05).③The artificial neural network prediction model showed that the weights of cesarean section frequency,premature rupture of membranes and three-layer suture were higher.The ROC curve,calibration curve,and clinical decision curve validation showed that the model had good predictive ability.Conclusions:The formation of CSD is related to indicators such as retroflexion of uterus,times of cesarean section,premature rup-ture of membranes,perinatal infection and timing of cesarean section.Clinical attention should be focused on this.In addition,three-layer suture of myometrium can reduce the probability of formation of CSD,which is worth popu-larizing and application in clinic.

Objective:To investigate the effect of three-layer suturing of myometrium on the size of diverticu-lum after cesarean section and the related factors of the formation of uterine incision diverticulum(CSD).Meth-ods:The clinical data of 240 parturients who underwent cesarean section in Wuhu Hospital affiliated to East China normal University from April to November 2022 were analyzed retrospectively.According to the different suture methods of myometrium,they were divided into three-layer suture group(n=124)and double-layer suture group(n=116).According to the formation of CSD after operation,the parturients were divided into CSD group(n=23)and non-CSD group(n=217).The clinical characteristics of parturients in three-layer suture group and doub-le-layer suture group were compared.Multivariate Logistic regression were used to analyze the independent fac-tors affecting the formation of CSD and an artificial neural network model was constructed.The model was verified by receiver operating characteristics(ROC),calibration curve and clinical decision curve.Results:①The thick-ness of myometrium scar in the three-layer suture group was significantly higher than that in the double-layer su-ture group(7.06±2.09 mm vs.5.68±1.97 mm),while the formation of CSD(4.03％vs.15.52％)and the size of diverticulum(0.36±0.09 ml vs.0.47±0.12 ml)were significantly lower than those in the double-layer suture group(P＜0.05).②Multivariate analysis showed that retroflexion of uterus,cesarean section frequency ≥2 times,premature rupture of membranes,perinatal infection and timing of cesarean section were independent risk factors for the formation of CSD(OR＞1,P＜0 05),while three layer suture of myometrium was a protective factor(OR＜1,P＜0.05).③The artificial neural network prediction model showed that the weights of cesarean section frequency,premature rupture of membranes and three-layer suture were higher.The ROC curve,calibration curve,and clinical decision curve validation showed that the model had good predictive ability.Conclusions:The formation of CSD is related to indicators such as retroflexion of uterus,times of cesarean section,premature rup-ture of membranes,perinatal infection and timing of cesarean section.Clinical attention should be focused on this.In addition,three-layer suture of myometrium can reduce the probability of formation of CSD,which is worth popu-larizing and application in clinic.