1.Immunological efficacy of OprI as a component in a multi-subunit vaccine against Pseudomonas aeruginosa
Jinqiong YAN ; Zifan ZHU ; Yating WANG ; Meilin WU ; Bo HUANG ; Ziyu WU ; Hongrong CUI ; Yueyue ZHANG ; Weijun ZHANG ; Gang CHEN ; Jiang GU
Immunological Journal 2025;41(2):65-71,79
Objective The aim of this study was to clarify the role and mechanism of Pseudomonas aeruginosa vaccine subunit OprI in the fusion protein vaccine rePO(PcrV-OprI).Methods The in vitro stability of rePO,PcrV and OprI at 4 ℃,25 ℃,and 37 ℃ was examined.After immunizing mice with rePO,OprI and PcrV,respectively,the specific antibody potency in serum and the proportion of cells secreting IFN-γ and IL-4 in the spleen were examined;Additionally,detection of the levels of protein uptake by DC2.4 cells in vitro using laser confocal microscopy and flow cytometry,and their ability to promote the maturation of mouse bone marrow-derived dendritic cells(BMDC).Results The heat stability of fusion protein rePO was significantly better than that of PcrV.The induced anti-PcrV IgG and anti-OprI IgG potency of rePO was significantly higher than that of monomeric PcrV and OprI.Additionally,the number of cells secreting IFN-γ and IL-4 induced by immunization with rePO was significantly higher than that of PcrV and OprI.The uptake rate of fusion protein rePO by DC2.4 cells was significantly higher than that of PcrV and OprI.Furthermore,rePO promoted the maturation of mouse BMDC more effectively than PcrV and OprI.Conclusion OprI in the fusion protein rePO can significantly improve its thermal stability and immunogenicity,which lays the foundation for the successful development of Pseudomonas aeruginosa vaccine.
2.Immunological efficacy of OprI as a component in a multi-subunit vaccine against Pseudomonas aeruginosa
Jinqiong YAN ; Zifan ZHU ; Yating WANG ; Meilin WU ; Bo HUANG ; Ziyu WU ; Hongrong CUI ; Yueyue ZHANG ; Weijun ZHANG ; Gang CHEN ; Jiang GU
Immunological Journal 2025;41(2):65-71,79
Objective The aim of this study was to clarify the role and mechanism of Pseudomonas aeruginosa vaccine subunit OprI in the fusion protein vaccine rePO(PcrV-OprI).Methods The in vitro stability of rePO,PcrV and OprI at 4 ℃,25 ℃,and 37 ℃ was examined.After immunizing mice with rePO,OprI and PcrV,respectively,the specific antibody potency in serum and the proportion of cells secreting IFN-γ and IL-4 in the spleen were examined;Additionally,detection of the levels of protein uptake by DC2.4 cells in vitro using laser confocal microscopy and flow cytometry,and their ability to promote the maturation of mouse bone marrow-derived dendritic cells(BMDC).Results The heat stability of fusion protein rePO was significantly better than that of PcrV.The induced anti-PcrV IgG and anti-OprI IgG potency of rePO was significantly higher than that of monomeric PcrV and OprI.Additionally,the number of cells secreting IFN-γ and IL-4 induced by immunization with rePO was significantly higher than that of PcrV and OprI.The uptake rate of fusion protein rePO by DC2.4 cells was significantly higher than that of PcrV and OprI.Furthermore,rePO promoted the maturation of mouse BMDC more effectively than PcrV and OprI.Conclusion OprI in the fusion protein rePO can significantly improve its thermal stability and immunogenicity,which lays the foundation for the successful development of Pseudomonas aeruginosa vaccine.
3.Signals mining and analysis of adverse drug events of exenatide based on FAERS database
Qiyao ZHAO ; Yan LIU ; Tianyi YANG ; Jiaoyue LI ; Yunpeng LUO ; Ping LI ; Jinlin DAI ; Zifan HUANG ; Li ZHANG ; Xiaohui YANG
Chinese Journal of Pharmacoepidemiology 2024;33(12):1355-1364
Objective To analyze adverse drug event(ADE)signals associated with exenatide based on data from the U.S.Food and Drug Administration Adverse Event Reporting System(FAERS),and to provide insights for rational medication use in clinical settings.Methods ADE reports of exenatide as the primary suspected drug were obtained by collecting the data of FAERS database from the first quarter 2014 to the second quarter 2024.ADE signals were analyzed by joint reporting odds ratio(ROR)method,proportional reporting odds ratio(PRR)method,Bayesian confidence interval progressive neural network(BCPNN)method and multi-item gamma Poisson shrinker(MGPS)method.Results After data cleaning,118 745 reports of exenatide-related ADEs were collected.These ADEs spanned 14 system-organ classes and involved 185 preferred terms.Commonly reported ADEs included reactions at the injection site,hypoglycemia,reduced appetite,and cholelithiasis.Severe ADEs were primarily cases of acute pancreatitis,in consistent with the drug's labeling.Moreover,the instructions did not record ADE signals of pancreatic cancer,thyroiditis,and reduced frustration tolerance.Conclusion Prescription of the exenatide should be vigilant about the signals not listed on the product labeling,such as pancreatic cancer,thyroid cancer,and decreased frustration tolerance,to improve the safety of medication use in patients.
4.Signals mining and analysis of adverse drug events of pioglitazone based on FAERS database
Ping LI ; Yan LIU ; Tianyi YANG ; Qiyao ZHAO ; Jiaoyue LI ; Yunpeng LUO ; Jinlin DAI ; Zifan HUANG ; Li ZHANG ; Xiaohui YANG
Chinese Journal of Pharmacoepidemiology 2024;33(12):1365-1374
Objective To mine adverse drug event(ADE)signals of pioglitazone,and to provide references for the safe clinical use of the medication.Methods The reporting odds ratio(ROR)method and the Bayesian confidence propagation neural network(BCPNN)method were utilized to analyze pioglitazone ADE reports from the U.S.Food and Drug Administration Adverse Event Reporting System(FAERS)database,spanning from the first quarter of 2013 to the second quarter of 2024.Results After data cleaning,a total of 16 904 pioglitazone ADE reports were retrieved.The ADE reports primarily involved individuals over the age of 45,with a male predominance,and were mainly reported from the United States.After screening,180 ADE signals were identified,affecting 27 system-organ classes(SOC).Out of these,34 ADE signals were classified as medium to high risk,with 9 ADE signals not mentioned in the product labeling,including ureteral cancer,urethral cancer,gallbladder tumors,malignant tumors of the renal pelvis,pericardial tamponade,left ventricular dysfunction,pulmonary edema,cystitis,and somniloquy.Conclusion In addition to closely monitoring weight gain,systemic edema,and heart failure,clinical attention should be given to left ventricular dysfunction,pulmonary edema,cystitis,and pericardial tamponade ADEs that are not mentioned in the instructions,to ensure the safety of pioglitazone use in clinical practice.
5.Signals mining and analysis of adverse drug events of lixisenatide based on FAERS database
Jinlin DAI ; Yan LIU ; Tianyi YANG ; Jiaoyue LI ; Zifan HUANG ; Yunpeng LUO ; Ping LI ; Qiyao ZHAO ; Li ZHANG ; Xiaohui YANG
Chinese Journal of Pharmacoepidemiology 2024;33(12):1325-1335
Objective To investigate post-marketing adverse drug event(ADE)signals associated with lixisenatide,and to provide guidance for safe clinical use.Methods The ADE reporting data of lixisenatide ADE were mined and the signals were detected from the U.S.Food and Drug Administration Adverse Event Reporting System(FAERS)database from the first quarter 2013 to the second quarter 2024 using the reporting odds ratio(ROR)method and Bayesian confidence propagation neural network(BCPNN)method.Results After data cleaning,a total of 5 162 ADE reports with lixisenatide as the primary suspected drug were collected.The 85 ADE signals identified by the two statistical analysis methods,affected 14 system-organ classes(SOC).They were primarily concentrated in injuries,poisonings,and procedural complications(25.88%),various examinations(14.12%),systemic diseases and reactions at administration sites(14.12%),gastrointestinal diseases(9.41%),and various neurological diseases(5.88%).There were 28 ADE signals such as pancreatitis,visual impairment,and color blindness,that were not included in the drug instructions.Conclusion In addition to monitoring for common ADE associated with GLP-1 receptor agonists such as hypoglycemia,gastrointestinal,and neurological effects,clinicians should also be vigilant for underlying ADE like pancreatic-related diseases,eye toxicity reaction when using lixisenatide to ensure safe and rational medication use.
6.Signals mining and analysis of adverse drug events of dapagliflozin based on FAERS database
Jiaoyue LI ; Yan LIU ; Qiubo YANG ; Tianyi YANG ; Jinlin DAI ; Qiyao ZHAO ; Yunpeng LUO ; Ping LI ; Zifan HUANG ; Li ZHANG ; Xiaohui YANG
Chinese Journal of Pharmacoepidemiology 2024;33(12):1336-1345
bjective To mine signals of post-marketing adverse drug events(ADEs)associated with dapagliflozin,and to provide insights for safe medication in clinical settings.Methods Data on ADEs related to dapagliflozin from U.S.Food and Drug Administration Adverse Event Reporting System(FAERS)were collected from the first quarter of 2013 to the third quarter of 2024.The analyses involved data mining and signal monitoring using disproportionality analysis techniques including the reporting odds ratio(ROR)method,Medicines and Healthcare Products Regulatory Agency(MHRA)method,Bayesian confidence propagation neural network(BCPNN)method,and multi-item gamma Poisson shrinker(MGPS)method.Results After data cleaning,a total of 55 832 qualified dapagliflozin case reports were obtained,involving 25 090 patients,with a slightly higher percentage of males(44.99%)than females(41.18%).The predominant age group was 45 to 64 years(20.78%).A total of 379 ADE signals were detected across 22 system-organ classes(SOC).The ADEs of dapagliflozin were mainly concentrated in the SOC such as infections and infestations,general disorders and administration sites conditions,and metabolism and nutrition disorders,aligning with information provided in the drug instructions.Additionally,the ADE signals were not documented in drug inserts such as scrotal gangrene,periperineal cellulitis,scrotal abscess,hyperglycemia,ketonuria,and pancreatitis.Conclusion When clinically using dapagliflozin,it is essential to conduct a thorough medication assessment.In addition to closely monitoring diabetes ketoacidosis,fungal infection,and acute renal injury.The latent ADEs that are not mentioned in the instructions to should be noticed ensure safe medication.
7.Signals mining and analysis of adverse drug events of saxagliptin based on FAERS database
Zifan HUANG ; Yan LIU ; Tianyi YANG ; Jiaoyue LI ; Jinlin DAI ; Ping LI ; Qiyao ZHAO ; Yunpeng LUO ; Li ZHANG ; Xiaohui YANG
Chinese Journal of Pharmacoepidemiology 2024;33(12):1346-1354
Objective To mine the real-world risk signals associated with saxagliptin-related adverse drug event(ADE),and to provide insights for evidence-based use of the drug in clinical practice.Methods Data on ADE related to saxagliptin from U.S.Food and Drug Administration Adverse Event Reporting System(FAERS)were collected from the first quarter of 2013 to the third quarter of 2024,and analyzed using the reporting odds ratio(ROR)and Bayesian confidence propagation neural network(BCPNN)techniques.Results After data cleaning,the study analyzed 2 036 qualified case reports from patients who were using saxagliptin,uncovering 4 497 adverse events and identifying 131 adverse event signals across 19 system-organ classes(SOCs),including cardiac organ system diseases(20.61%),various types of investigations(10.69%),and gastrointestinal tract diseases(13.74%).Among them,heart failure,pancreatitis,pancreatic cancer,and hypoglycaemic coma were high-intensity signals.Conclusion In clinical practice,the indications for saxagliptin should be strictly managed.It is advisable to avoid using saxagliptin as monotherapy in patients with a history of heart failure or in patients at elevated risk for arteriosclerotic cardiovascular disease.Continuous monitoring of essential organ functions,especially cardiac and pancreatic,is essential throughout the course of treatment to ensure the safety of the medication.
8.Signals mining and analysis of adverse drug events of exenatide based on FAERS database
Qiyao ZHAO ; Yan LIU ; Tianyi YANG ; Jiaoyue LI ; Yunpeng LUO ; Ping LI ; Jinlin DAI ; Zifan HUANG ; Li ZHANG ; Xiaohui YANG
Chinese Journal of Pharmacoepidemiology 2024;33(12):1355-1364
Objective To analyze adverse drug event(ADE)signals associated with exenatide based on data from the U.S.Food and Drug Administration Adverse Event Reporting System(FAERS),and to provide insights for rational medication use in clinical settings.Methods ADE reports of exenatide as the primary suspected drug were obtained by collecting the data of FAERS database from the first quarter 2014 to the second quarter 2024.ADE signals were analyzed by joint reporting odds ratio(ROR)method,proportional reporting odds ratio(PRR)method,Bayesian confidence interval progressive neural network(BCPNN)method and multi-item gamma Poisson shrinker(MGPS)method.Results After data cleaning,118 745 reports of exenatide-related ADEs were collected.These ADEs spanned 14 system-organ classes and involved 185 preferred terms.Commonly reported ADEs included reactions at the injection site,hypoglycemia,reduced appetite,and cholelithiasis.Severe ADEs were primarily cases of acute pancreatitis,in consistent with the drug's labeling.Moreover,the instructions did not record ADE signals of pancreatic cancer,thyroiditis,and reduced frustration tolerance.Conclusion Prescription of the exenatide should be vigilant about the signals not listed on the product labeling,such as pancreatic cancer,thyroid cancer,and decreased frustration tolerance,to improve the safety of medication use in patients.
9.Signals mining and analysis of adverse drug events of pioglitazone based on FAERS database
Ping LI ; Yan LIU ; Tianyi YANG ; Qiyao ZHAO ; Jiaoyue LI ; Yunpeng LUO ; Jinlin DAI ; Zifan HUANG ; Li ZHANG ; Xiaohui YANG
Chinese Journal of Pharmacoepidemiology 2024;33(12):1365-1374
Objective To mine adverse drug event(ADE)signals of pioglitazone,and to provide references for the safe clinical use of the medication.Methods The reporting odds ratio(ROR)method and the Bayesian confidence propagation neural network(BCPNN)method were utilized to analyze pioglitazone ADE reports from the U.S.Food and Drug Administration Adverse Event Reporting System(FAERS)database,spanning from the first quarter of 2013 to the second quarter of 2024.Results After data cleaning,a total of 16 904 pioglitazone ADE reports were retrieved.The ADE reports primarily involved individuals over the age of 45,with a male predominance,and were mainly reported from the United States.After screening,180 ADE signals were identified,affecting 27 system-organ classes(SOC).Out of these,34 ADE signals were classified as medium to high risk,with 9 ADE signals not mentioned in the product labeling,including ureteral cancer,urethral cancer,gallbladder tumors,malignant tumors of the renal pelvis,pericardial tamponade,left ventricular dysfunction,pulmonary edema,cystitis,and somniloquy.Conclusion In addition to closely monitoring weight gain,systemic edema,and heart failure,clinical attention should be given to left ventricular dysfunction,pulmonary edema,cystitis,and pericardial tamponade ADEs that are not mentioned in the instructions,to ensure the safety of pioglitazone use in clinical practice.
10.Signals mining and analysis of adverse drug events of lixisenatide based on FAERS database
Jinlin DAI ; Yan LIU ; Tianyi YANG ; Jiaoyue LI ; Zifan HUANG ; Yunpeng LUO ; Ping LI ; Qiyao ZHAO ; Li ZHANG ; Xiaohui YANG
Chinese Journal of Pharmacoepidemiology 2024;33(12):1325-1335
Objective To investigate post-marketing adverse drug event(ADE)signals associated with lixisenatide,and to provide guidance for safe clinical use.Methods The ADE reporting data of lixisenatide ADE were mined and the signals were detected from the U.S.Food and Drug Administration Adverse Event Reporting System(FAERS)database from the first quarter 2013 to the second quarter 2024 using the reporting odds ratio(ROR)method and Bayesian confidence propagation neural network(BCPNN)method.Results After data cleaning,a total of 5 162 ADE reports with lixisenatide as the primary suspected drug were collected.The 85 ADE signals identified by the two statistical analysis methods,affected 14 system-organ classes(SOC).They were primarily concentrated in injuries,poisonings,and procedural complications(25.88%),various examinations(14.12%),systemic diseases and reactions at administration sites(14.12%),gastrointestinal diseases(9.41%),and various neurological diseases(5.88%).There were 28 ADE signals such as pancreatitis,visual impairment,and color blindness,that were not included in the drug instructions.Conclusion In addition to monitoring for common ADE associated with GLP-1 receptor agonists such as hypoglycemia,gastrointestinal,and neurological effects,clinicians should also be vigilant for underlying ADE like pancreatic-related diseases,eye toxicity reaction when using lixisenatide to ensure safe and rational medication use.

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