1.Effect and mechanism of Jingangteng capsules in the treatment of non-alcoholic fatty liver disease based on gut microbiota and metabolomics
Shiyuan CHENG ; Yue XIONG ; Dandan ZHANG ; Jing LI ; Zhiying SUN ; Jiaying TIAN ; Li SHEN ; Yue SHEN ; Dan LIU ; Qiong WEI ; Xiaochuan YE
China Pharmacy 2025;36(11):1340-1347
OBJECTIVE To investigate the effect and mechanism of Jingangteng capsules in the treatment of non-alcoholic fatty liver disease (NAFLD). METHODS Thirty-two SD rats were randomly divided into normal group and modeling group. The modeling group was fed a high-fat diet to establish a NAFLD model. The successfully modeled rats were then randomly divided into model group, atorvastatin group[positive control, 2 mg/(kg·d)], and Jingangteng capsules low- and high-dose groups [0.63 and 2.52 mg/(kg·d)], with 6 rats in each group. The pathological changes of the liver were observed by hematoxylin-eosin staining and oil red O staining. Enzyme-linked immunosorbent assay was performed to determine the serum levels of triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), alanine transaminase (ALT), aspartate transaminase (AST), tumour necrosis factor-α (TNF-α), interleukin-1β (IL-1β), IL-6, IL-18. 16S rDNA amplicon sequencing and metabolomics techniques were applied to explore the effects of Jingangteng capsules on gut microbiota and metabolisms in NAFLD rats. Based on the E-mail:591146765@qq.com metabolomics results, Western blot analysis was performed to detect proteins related to the nuclear factor kappa-B (NF-κB)/NOD-like receptor family protein 3 (NLRP3) signaling pathway in the livers of NAFLD rats. RESULTS The experimental results showed that Jingangteng capsules could significantly reduce the serum levels of TG, TC, LDL-C, AST, ALT, TNF-α, IL-1β, IL-6, IL-18, while increased the level of HDL-C, and alleviated the hepatic cellular steatosis and inflammatory infiltration in NAFLD rats. They could regulate the gut microbiota disorders in NAFLD rats, significantly increased the relative abundance of Romboutsia and Oscillospira, and significantly decreased the relative abundance of Blautia (P<0.05). They also regulated metabolic disorders primarily by affecting secondary bile acid biosynthesis, fatty acid degradation, O-antigen nucleotide sugar biosynthesis, etc. Results of Western blot assay showed that they significantly reduced the phosphorylation levels of NF-κB p65 and NF-κB inhibitor α, and the protein expression levels of NLRP3, caspase-1 and ASC (P<0.05 or P<0.01). CONCLUSIONS Jingangteng capsules could improve inflammation, lipid accumulation and liver injury in NAFLD rats, regulate the disorders of gut microbiota and metabolisms, and inhibit NF-κB/NLRP3 signaling pathway. Their therapeutic effects against NAFLD are mediated through the inhibition of the NF-κB/NLRP3 signaling pathway.
2.Clinical features,risk factors and treatment of type 2 diabetes melli-tus in patients with acute exacerbation of chronic obstructive pulmo-nary disease
Xiaochuan WANG ; Hanchao WANG ; Yu YAO ; Li LI ; Gaoyan HE ; Bo LI ; Tao ZHU
Chinese Journal of Clinical Pharmacology and Therapeutics 2024;29(4):392-400
AIM:To investigate the clinical fea-tures of acute exacerbation chronic obstructive pul-monary disease(AECOPD)of complicated with type 2 diabetes mellitus(T2DM),and analyze the relat-ed clinical features and risk factors.METHODS:This was a single-center cross-sectional study.From March 2020 to January 2023,479 hospitalized pa-tients with AECOPD in the department of respirato-ry and critical care medicine,Suining Central Hospi-tal were included.There were 215 patients in AE-COPD group and 60 patients in AECOPD with T2DM group.The collected variables included demograph-ic data,complications,blood routine,infection in-dex,random blood glucose,blood gas analysis and lung function.The adoption rate and constituent ra-tio of the basic description classification data were expressed as mean standard deviation for the nor-mal distribution measurement data and median in-terquartile range for the skew distribution measure-ment data.T-test was used for normal distribution and non-parameter test was used for non-normal distribution.The categorical variables were tested by chi-square test.Rank sum test was used for rank variable data.Binary logistic regression model was used to investigate the independent factors associ-ated with T2DM in patients with AECOPD.Finally,the results of logistic regression were verified and visualized by nomogram,validation curve,ROC curve and DCA curve.P<0.05 was a significant sta-tistical difference.RESULTS:Univariate analysis showed that there were significant differences in body mass index(BMI),essential hypertension,cor-onary heart disease,atrial fibrillation(AF),pulmo-nary function(GOLD stage),blood neutrophil(NS),blood lymphocyte(LYM),arterial blood gas PaCO2,Alanine transaminase(ALT)and random blood glu-cose(RBG)between the two groups(P<0.05).The binary logistic regression model(C-index=0.847)was constructed with the above 10 variables,the results showed that BMI(OR=1.309),Af(OR=8.188),LYM counts(OR=0.474),PaCO2(OR=1.082)and RBG(OR=1.434)were independently associat-ed with type 2 diabetes in patients with AECOPD(all P>0.05).The results of logistic regression were verified and visualized by Nomogram and its-associ-ated ccurves.The MAE and AUC curves were 0.021 and 0.847 respectively,indicating that the model had good prediction consistency and accuracy.The DCA curve showed that Nomogram's risk threshold ranged from 0.01 to 0.99,suggesting that nomo-gram's model had better clinical predictive value.CONCLUSION:Our results showed that increased BMI,PaCO2 and random glucose,decreased blood lymphocyte,and atrial fibrillation is an indepen-dent clinical feature of AECOPD with T2DM.These results suggest that the immune function of pa-tients with AECOPD and T2DM are more severely impaired and more likely to be accompanied by atrial fibrillation,which is a potential cause of poor prognosis in these patients.Meanwhile,this conclu-sion needs to be further verified in multicenter study with large sample size.
3.The Exploration and Practice of Public Hospital Electronic Accounting File Management Based on Intelligent Financial System
Xiaochuan SHI ; Siming LI ; Shuran SUN ; Xuan ZHANG
Chinese Health Economics 2024;43(8):84-88,92
With the continuous development of information technology,smart financial systems has gradually become an important tool for financial management in public hospitals.As an important component of the smart financial system,electronic accounting record management is of great practical significance in adapting to the trend of"green and carbon free"economic development,improving the efficiency of financial management in public hospitals,and promoting high-quality development of hospitals.Henan Provincial People's Hospital is taken as an example(hereinafter referred to as the sample hospital)to deeply interpret national policies,explore the difficulties in electronic accounting file management,and combine with the specific situation of the hospital.Guided by the overall strategic goals of the hospital,starting from the top-level design integration,it creates a set of replicable and promotable electronic accounting voucher electronic reimbursement,entry,and archiving progress,so as to provide theoretical and practical experience for the transformation and upgrading of electronic record management in public hospitals,and provide a new template for the development and reform of economic management in public hospitals in China.
4.Clinical features,risk factors and treatment of type 2 diabetes melli-tus in patients with acute exacerbation of chronic obstructive pulmo-nary disease
Xiaochuan WANG ; Hanchao WANG ; Yu YAO ; Li LI ; Gaoyan HE ; Bo LI ; Tao ZHU
Chinese Journal of Clinical Pharmacology and Therapeutics 2024;29(4):392-400
AIM:To investigate the clinical fea-tures of acute exacerbation chronic obstructive pul-monary disease(AECOPD)of complicated with type 2 diabetes mellitus(T2DM),and analyze the relat-ed clinical features and risk factors.METHODS:This was a single-center cross-sectional study.From March 2020 to January 2023,479 hospitalized pa-tients with AECOPD in the department of respirato-ry and critical care medicine,Suining Central Hospi-tal were included.There were 215 patients in AE-COPD group and 60 patients in AECOPD with T2DM group.The collected variables included demograph-ic data,complications,blood routine,infection in-dex,random blood glucose,blood gas analysis and lung function.The adoption rate and constituent ra-tio of the basic description classification data were expressed as mean standard deviation for the nor-mal distribution measurement data and median in-terquartile range for the skew distribution measure-ment data.T-test was used for normal distribution and non-parameter test was used for non-normal distribution.The categorical variables were tested by chi-square test.Rank sum test was used for rank variable data.Binary logistic regression model was used to investigate the independent factors associ-ated with T2DM in patients with AECOPD.Finally,the results of logistic regression were verified and visualized by nomogram,validation curve,ROC curve and DCA curve.P<0.05 was a significant sta-tistical difference.RESULTS:Univariate analysis showed that there were significant differences in body mass index(BMI),essential hypertension,cor-onary heart disease,atrial fibrillation(AF),pulmo-nary function(GOLD stage),blood neutrophil(NS),blood lymphocyte(LYM),arterial blood gas PaCO2,Alanine transaminase(ALT)and random blood glu-cose(RBG)between the two groups(P<0.05).The binary logistic regression model(C-index=0.847)was constructed with the above 10 variables,the results showed that BMI(OR=1.309),Af(OR=8.188),LYM counts(OR=0.474),PaCO2(OR=1.082)and RBG(OR=1.434)were independently associat-ed with type 2 diabetes in patients with AECOPD(all P>0.05).The results of logistic regression were verified and visualized by Nomogram and its-associ-ated ccurves.The MAE and AUC curves were 0.021 and 0.847 respectively,indicating that the model had good prediction consistency and accuracy.The DCA curve showed that Nomogram's risk threshold ranged from 0.01 to 0.99,suggesting that nomo-gram's model had better clinical predictive value.CONCLUSION:Our results showed that increased BMI,PaCO2 and random glucose,decreased blood lymphocyte,and atrial fibrillation is an indepen-dent clinical feature of AECOPD with T2DM.These results suggest that the immune function of pa-tients with AECOPD and T2DM are more severely impaired and more likely to be accompanied by atrial fibrillation,which is a potential cause of poor prognosis in these patients.Meanwhile,this conclu-sion needs to be further verified in multicenter study with large sample size.
5.The Exploration and Practice of Public Hospital Electronic Accounting File Management Based on Intelligent Financial System
Xiaochuan SHI ; Siming LI ; Shuran SUN ; Xuan ZHANG
Chinese Health Economics 2024;43(8):84-88,92
With the continuous development of information technology,smart financial systems has gradually become an important tool for financial management in public hospitals.As an important component of the smart financial system,electronic accounting record management is of great practical significance in adapting to the trend of"green and carbon free"economic development,improving the efficiency of financial management in public hospitals,and promoting high-quality development of hospitals.Henan Provincial People's Hospital is taken as an example(hereinafter referred to as the sample hospital)to deeply interpret national policies,explore the difficulties in electronic accounting file management,and combine with the specific situation of the hospital.Guided by the overall strategic goals of the hospital,starting from the top-level design integration,it creates a set of replicable and promotable electronic accounting voucher electronic reimbursement,entry,and archiving progress,so as to provide theoretical and practical experience for the transformation and upgrading of electronic record management in public hospitals,and provide a new template for the development and reform of economic management in public hospitals in China.
6.Clinical features,risk factors and treatment of type 2 diabetes melli-tus in patients with acute exacerbation of chronic obstructive pulmo-nary disease
Xiaochuan WANG ; Hanchao WANG ; Yu YAO ; Li LI ; Gaoyan HE ; Bo LI ; Tao ZHU
Chinese Journal of Clinical Pharmacology and Therapeutics 2024;29(4):392-400
AIM:To investigate the clinical fea-tures of acute exacerbation chronic obstructive pul-monary disease(AECOPD)of complicated with type 2 diabetes mellitus(T2DM),and analyze the relat-ed clinical features and risk factors.METHODS:This was a single-center cross-sectional study.From March 2020 to January 2023,479 hospitalized pa-tients with AECOPD in the department of respirato-ry and critical care medicine,Suining Central Hospi-tal were included.There were 215 patients in AE-COPD group and 60 patients in AECOPD with T2DM group.The collected variables included demograph-ic data,complications,blood routine,infection in-dex,random blood glucose,blood gas analysis and lung function.The adoption rate and constituent ra-tio of the basic description classification data were expressed as mean standard deviation for the nor-mal distribution measurement data and median in-terquartile range for the skew distribution measure-ment data.T-test was used for normal distribution and non-parameter test was used for non-normal distribution.The categorical variables were tested by chi-square test.Rank sum test was used for rank variable data.Binary logistic regression model was used to investigate the independent factors associ-ated with T2DM in patients with AECOPD.Finally,the results of logistic regression were verified and visualized by nomogram,validation curve,ROC curve and DCA curve.P<0.05 was a significant sta-tistical difference.RESULTS:Univariate analysis showed that there were significant differences in body mass index(BMI),essential hypertension,cor-onary heart disease,atrial fibrillation(AF),pulmo-nary function(GOLD stage),blood neutrophil(NS),blood lymphocyte(LYM),arterial blood gas PaCO2,Alanine transaminase(ALT)and random blood glu-cose(RBG)between the two groups(P<0.05).The binary logistic regression model(C-index=0.847)was constructed with the above 10 variables,the results showed that BMI(OR=1.309),Af(OR=8.188),LYM counts(OR=0.474),PaCO2(OR=1.082)and RBG(OR=1.434)were independently associat-ed with type 2 diabetes in patients with AECOPD(all P>0.05).The results of logistic regression were verified and visualized by Nomogram and its-associ-ated ccurves.The MAE and AUC curves were 0.021 and 0.847 respectively,indicating that the model had good prediction consistency and accuracy.The DCA curve showed that Nomogram's risk threshold ranged from 0.01 to 0.99,suggesting that nomo-gram's model had better clinical predictive value.CONCLUSION:Our results showed that increased BMI,PaCO2 and random glucose,decreased blood lymphocyte,and atrial fibrillation is an indepen-dent clinical feature of AECOPD with T2DM.These results suggest that the immune function of pa-tients with AECOPD and T2DM are more severely impaired and more likely to be accompanied by atrial fibrillation,which is a potential cause of poor prognosis in these patients.Meanwhile,this conclu-sion needs to be further verified in multicenter study with large sample size.
7.The Exploration and Practice of Public Hospital Electronic Accounting File Management Based on Intelligent Financial System
Xiaochuan SHI ; Siming LI ; Shuran SUN ; Xuan ZHANG
Chinese Health Economics 2024;43(8):84-88,92
With the continuous development of information technology,smart financial systems has gradually become an important tool for financial management in public hospitals.As an important component of the smart financial system,electronic accounting record management is of great practical significance in adapting to the trend of"green and carbon free"economic development,improving the efficiency of financial management in public hospitals,and promoting high-quality development of hospitals.Henan Provincial People's Hospital is taken as an example(hereinafter referred to as the sample hospital)to deeply interpret national policies,explore the difficulties in electronic accounting file management,and combine with the specific situation of the hospital.Guided by the overall strategic goals of the hospital,starting from the top-level design integration,it creates a set of replicable and promotable electronic accounting voucher electronic reimbursement,entry,and archiving progress,so as to provide theoretical and practical experience for the transformation and upgrading of electronic record management in public hospitals,and provide a new template for the development and reform of economic management in public hospitals in China.
8.Clinical features,risk factors and treatment of type 2 diabetes melli-tus in patients with acute exacerbation of chronic obstructive pulmo-nary disease
Xiaochuan WANG ; Hanchao WANG ; Yu YAO ; Li LI ; Gaoyan HE ; Bo LI ; Tao ZHU
Chinese Journal of Clinical Pharmacology and Therapeutics 2024;29(4):392-400
AIM:To investigate the clinical fea-tures of acute exacerbation chronic obstructive pul-monary disease(AECOPD)of complicated with type 2 diabetes mellitus(T2DM),and analyze the relat-ed clinical features and risk factors.METHODS:This was a single-center cross-sectional study.From March 2020 to January 2023,479 hospitalized pa-tients with AECOPD in the department of respirato-ry and critical care medicine,Suining Central Hospi-tal were included.There were 215 patients in AE-COPD group and 60 patients in AECOPD with T2DM group.The collected variables included demograph-ic data,complications,blood routine,infection in-dex,random blood glucose,blood gas analysis and lung function.The adoption rate and constituent ra-tio of the basic description classification data were expressed as mean standard deviation for the nor-mal distribution measurement data and median in-terquartile range for the skew distribution measure-ment data.T-test was used for normal distribution and non-parameter test was used for non-normal distribution.The categorical variables were tested by chi-square test.Rank sum test was used for rank variable data.Binary logistic regression model was used to investigate the independent factors associ-ated with T2DM in patients with AECOPD.Finally,the results of logistic regression were verified and visualized by nomogram,validation curve,ROC curve and DCA curve.P<0.05 was a significant sta-tistical difference.RESULTS:Univariate analysis showed that there were significant differences in body mass index(BMI),essential hypertension,cor-onary heart disease,atrial fibrillation(AF),pulmo-nary function(GOLD stage),blood neutrophil(NS),blood lymphocyte(LYM),arterial blood gas PaCO2,Alanine transaminase(ALT)and random blood glu-cose(RBG)between the two groups(P<0.05).The binary logistic regression model(C-index=0.847)was constructed with the above 10 variables,the results showed that BMI(OR=1.309),Af(OR=8.188),LYM counts(OR=0.474),PaCO2(OR=1.082)and RBG(OR=1.434)were independently associat-ed with type 2 diabetes in patients with AECOPD(all P>0.05).The results of logistic regression were verified and visualized by Nomogram and its-associ-ated ccurves.The MAE and AUC curves were 0.021 and 0.847 respectively,indicating that the model had good prediction consistency and accuracy.The DCA curve showed that Nomogram's risk threshold ranged from 0.01 to 0.99,suggesting that nomo-gram's model had better clinical predictive value.CONCLUSION:Our results showed that increased BMI,PaCO2 and random glucose,decreased blood lymphocyte,and atrial fibrillation is an indepen-dent clinical feature of AECOPD with T2DM.These results suggest that the immune function of pa-tients with AECOPD and T2DM are more severely impaired and more likely to be accompanied by atrial fibrillation,which is a potential cause of poor prognosis in these patients.Meanwhile,this conclu-sion needs to be further verified in multicenter study with large sample size.
9.The Exploration and Practice of Public Hospital Electronic Accounting File Management Based on Intelligent Financial System
Xiaochuan SHI ; Siming LI ; Shuran SUN ; Xuan ZHANG
Chinese Health Economics 2024;43(8):84-88,92
With the continuous development of information technology,smart financial systems has gradually become an important tool for financial management in public hospitals.As an important component of the smart financial system,electronic accounting record management is of great practical significance in adapting to the trend of"green and carbon free"economic development,improving the efficiency of financial management in public hospitals,and promoting high-quality development of hospitals.Henan Provincial People's Hospital is taken as an example(hereinafter referred to as the sample hospital)to deeply interpret national policies,explore the difficulties in electronic accounting file management,and combine with the specific situation of the hospital.Guided by the overall strategic goals of the hospital,starting from the top-level design integration,it creates a set of replicable and promotable electronic accounting voucher electronic reimbursement,entry,and archiving progress,so as to provide theoretical and practical experience for the transformation and upgrading of electronic record management in public hospitals,and provide a new template for the development and reform of economic management in public hospitals in China.
10.Clinical features,risk factors and treatment of type 2 diabetes melli-tus in patients with acute exacerbation of chronic obstructive pulmo-nary disease
Xiaochuan WANG ; Hanchao WANG ; Yu YAO ; Li LI ; Gaoyan HE ; Bo LI ; Tao ZHU
Chinese Journal of Clinical Pharmacology and Therapeutics 2024;29(4):392-400
AIM:To investigate the clinical fea-tures of acute exacerbation chronic obstructive pul-monary disease(AECOPD)of complicated with type 2 diabetes mellitus(T2DM),and analyze the relat-ed clinical features and risk factors.METHODS:This was a single-center cross-sectional study.From March 2020 to January 2023,479 hospitalized pa-tients with AECOPD in the department of respirato-ry and critical care medicine,Suining Central Hospi-tal were included.There were 215 patients in AE-COPD group and 60 patients in AECOPD with T2DM group.The collected variables included demograph-ic data,complications,blood routine,infection in-dex,random blood glucose,blood gas analysis and lung function.The adoption rate and constituent ra-tio of the basic description classification data were expressed as mean standard deviation for the nor-mal distribution measurement data and median in-terquartile range for the skew distribution measure-ment data.T-test was used for normal distribution and non-parameter test was used for non-normal distribution.The categorical variables were tested by chi-square test.Rank sum test was used for rank variable data.Binary logistic regression model was used to investigate the independent factors associ-ated with T2DM in patients with AECOPD.Finally,the results of logistic regression were verified and visualized by nomogram,validation curve,ROC curve and DCA curve.P<0.05 was a significant sta-tistical difference.RESULTS:Univariate analysis showed that there were significant differences in body mass index(BMI),essential hypertension,cor-onary heart disease,atrial fibrillation(AF),pulmo-nary function(GOLD stage),blood neutrophil(NS),blood lymphocyte(LYM),arterial blood gas PaCO2,Alanine transaminase(ALT)and random blood glu-cose(RBG)between the two groups(P<0.05).The binary logistic regression model(C-index=0.847)was constructed with the above 10 variables,the results showed that BMI(OR=1.309),Af(OR=8.188),LYM counts(OR=0.474),PaCO2(OR=1.082)and RBG(OR=1.434)were independently associat-ed with type 2 diabetes in patients with AECOPD(all P>0.05).The results of logistic regression were verified and visualized by Nomogram and its-associ-ated ccurves.The MAE and AUC curves were 0.021 and 0.847 respectively,indicating that the model had good prediction consistency and accuracy.The DCA curve showed that Nomogram's risk threshold ranged from 0.01 to 0.99,suggesting that nomo-gram's model had better clinical predictive value.CONCLUSION:Our results showed that increased BMI,PaCO2 and random glucose,decreased blood lymphocyte,and atrial fibrillation is an indepen-dent clinical feature of AECOPD with T2DM.These results suggest that the immune function of pa-tients with AECOPD and T2DM are more severely impaired and more likely to be accompanied by atrial fibrillation,which is a potential cause of poor prognosis in these patients.Meanwhile,this conclu-sion needs to be further verified in multicenter study with large sample size.

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