1.Risk signal mining of adverse reactions to triazole antifungal drugs: a comparative study on domestic and foreign adverse drug reaction/event reports
Jinxia ZHAO ; Yanjun XIE ; Shen′ao JING ; Ying ZHANG ; Nannan SUN ; Xia LI ; Yi HAN
Adverse Drug Reactions Journal 2025;27(8):472-478
Objective:To detect adverse reaction risk signals of triazole antifungal agents and provide evidences for their safe use in clinic.Methods:Adverse reaction/event reports with fluconazole, itraconazole, voriconazole, posaconazole, or isavuconazonium as the primary suspect drug were collected from the data in National Adverse Drug Reaction Monitoring System of China reported by Shandong Province from January 2004 to June 2024 and the US Food and Drug Administration Adverse Event Reporting System (FAERS) database from the first quarter of 2004 to the second quarter of 2023. Adverse reaction/event terms were standardized using the preferred term (PT) and system organ class in Medical Dictionary for Regulatory Activities 24.0. Risk signals were detected using the reporting odds ratio (ROR) method and the Bayesian confidence propagation neural network (BCPNN) algorithm. A PT was defined as an adverse reaction risk signal if the number of reports was ≥3, the lower limit of the 95% confidence interval ( CI) for ROR was >2, and the lower limit of the 95% CI for the information component ( IC) was >0. Descriptive statistical analysis was performed. Results:A total of 3 988 reports with the above 5 antifungal drugs as the primary suspect drug were collected from data in National Adverse Drug Reaction Monitoring System of China reported by Shandong Province, 822 (20.6%) of which were serious cases. Voriconazole, fluconazole, itraconazole, posaconazole, and isavuconazonium was the primary suspect drug in 1 852, 1 395, 703, 27, and 11 cases among the 3 988 reports, and in 591 (31.9%), 149 (10.7%), 59 (8.4%), 18 (66.7%), and 5 (5/11) serious cases among the 822 serious case reports, respectively. A total of 20 066 reports with the above 5 drugs as the primary suspect drug were collected in FAERS database, 9 635 (48.0%) of which were serious cases. Voriconazole, fluconazole, itraconazole, posaconazole, and isavuconazonium was the primary suspect drug in 7 758, 6 180, 2 869, 1 796, and 1 463 cases among the 20 066 reports, and in 4 295 (55.4%), 2 806 (45.4%), 1 191 (41.5%), 828 (46.1%), and 515 (35.2%) serious cases among the 9 635 serious case reports, respectively. Based on the data reported by Shandong Province and in FAERS database, 18 and 207 risk signals of adverse reaction not mentioned in the labels were identified, respectively, and 5 of them were identified in both databases, including fluconazole-induced renal impairment and voriconazole-induced oliguria, delirium, psychiatric disorders, and rhabdomyolysis. In the data reported by Shandong Province and in FAERS database, 13 and 189 reports of muscle-related disorders (rhabdomyolysis, myopathy, and myositis) were identified respectively, involving voriconazole (in 8 and 62 cases), itraconazole (in 4 and 74 cases), and fluconazole (in 1 and 53 cases).Conclusions:Renal impairment induced by fluconazole and oliguria, delirium, psychiatric disorders, and rhabdomyolysis induced by voriconazole are risk signals of adverse reaction not mentioned in the labels for triazole antifungal agents. Voriconazole, itraconazole, and fluconazole may also cause muscle-related disorders, warranting vigilance in clinical practice.
2.Standardization of terms for linezolid-related adverse reactions and database establishment based on ICD-10 code
Shengnan QIU ; Hailong LI ; Wenwen MA ; Shen′ao JING ; Chenghao LI ; Xin HUANG
Adverse Drug Reactions Journal 2025;27(10):605-612
Objective:To establish a standardized code database of adverse drug reactions (ADRs) terms related to linezolid and analyze the common ADRs of linezolid.Methods:Linezolid drug labels, websites (including Side Effect Resource, and the official websites of US Food and Drug Administration, European Medicines Agency and National Medical Products Administration) and scientific literature database (including CNKI, Wanfang, VIP, PubMed, Embase and Web of Science databases) were systematically searched, and ADR terms about linezolid were collected. ADR terms were mapped to the international classification of diseases-10 (ICD-10) code to establish a linezolid adverse reaction database.Results:A total of 117 ADR terms about linezolid were collected and 91 ICD-10 codes were obtained after being mapped to ICD-10. A standardized database was constructed and successfully embedded into the ADR spontaneous reporting system as a specific drug submodule. The gastrointestinal system, skin and subcutaneous tissue system, various nervous systems, blood and lymphatic systems were the most common system organs involved in linezolid-related ADRs under the 91 ICD-10 codes. Among them, ADRs under the gastrointestinal system codes K14.302 (black hairy tongue) and K52.104 (drug-induced gastroenteritis and colitis), the skin and subcutaneous tissue system code L27.005 (drug-induced dermatitis), various nervous system codes G90.800 (other disorders of autonomic nervous system), G62.001 (drug-induced polyneuropathy) and G44.400 (drug-induced headache, not elsewhere classified), the blood and lymphatic system codes D69.502 (drug- induced thrombocytopenia) and D70.x02 (drug-induced granulocytopenia), the metabolic and nutritional codes E87.204 (lactic acidosis), as well as the endocrine system code E16.000 (drug-induced hypoglycaemia without coma) had been reported frequently in the scientific literature. In addition, there were 14 ADR terms related to linezolid under 13 ICD-10 codes not recorded in the drug instructions.Conclusions:It is feasible to use ICD-10 code to standardize ADR terms related to linezolid and establish a database. Common ADRs of linezolid include thrombocytopenia, lactic acidosis, neutropenia, black hairy tongue, gastroenteritis/colitis, hypoglycemia, rash, serotonin syndrome, peripheral neuropathy and headache, which should be paid attention to and researched furtherly.
3.Standardization of terms for linezolid-related adverse reactions and database establishment based on ICD-10 code
Shengnan QIU ; Hailong LI ; Wenwen MA ; Shen′ao JING ; Chenghao LI ; Xin HUANG
Adverse Drug Reactions Journal 2025;27(10):605-612
Objective:To establish a standardized code database of adverse drug reactions (ADRs) terms related to linezolid and analyze the common ADRs of linezolid.Methods:Linezolid drug labels, websites (including Side Effect Resource, and the official websites of US Food and Drug Administration, European Medicines Agency and National Medical Products Administration) and scientific literature database (including CNKI, Wanfang, VIP, PubMed, Embase and Web of Science databases) were systematically searched, and ADR terms about linezolid were collected. ADR terms were mapped to the international classification of diseases-10 (ICD-10) code to establish a linezolid adverse reaction database.Results:A total of 117 ADR terms about linezolid were collected and 91 ICD-10 codes were obtained after being mapped to ICD-10. A standardized database was constructed and successfully embedded into the ADR spontaneous reporting system as a specific drug submodule. The gastrointestinal system, skin and subcutaneous tissue system, various nervous systems, blood and lymphatic systems were the most common system organs involved in linezolid-related ADRs under the 91 ICD-10 codes. Among them, ADRs under the gastrointestinal system codes K14.302 (black hairy tongue) and K52.104 (drug-induced gastroenteritis and colitis), the skin and subcutaneous tissue system code L27.005 (drug-induced dermatitis), various nervous system codes G90.800 (other disorders of autonomic nervous system), G62.001 (drug-induced polyneuropathy) and G44.400 (drug-induced headache, not elsewhere classified), the blood and lymphatic system codes D69.502 (drug- induced thrombocytopenia) and D70.x02 (drug-induced granulocytopenia), the metabolic and nutritional codes E87.204 (lactic acidosis), as well as the endocrine system code E16.000 (drug-induced hypoglycaemia without coma) had been reported frequently in the scientific literature. In addition, there were 14 ADR terms related to linezolid under 13 ICD-10 codes not recorded in the drug instructions.Conclusions:It is feasible to use ICD-10 code to standardize ADR terms related to linezolid and establish a database. Common ADRs of linezolid include thrombocytopenia, lactic acidosis, neutropenia, black hairy tongue, gastroenteritis/colitis, hypoglycemia, rash, serotonin syndrome, peripheral neuropathy and headache, which should be paid attention to and researched furtherly.
4.Risk signal mining of adverse reactions to triazole antifungal drugs: a comparative study on domestic and foreign adverse drug reaction/event reports
Jinxia ZHAO ; Yanjun XIE ; Shen′ao JING ; Ying ZHANG ; Nannan SUN ; Xia LI ; Yi HAN
Adverse Drug Reactions Journal 2025;27(8):472-478
Objective:To detect adverse reaction risk signals of triazole antifungal agents and provide evidences for their safe use in clinic.Methods:Adverse reaction/event reports with fluconazole, itraconazole, voriconazole, posaconazole, or isavuconazonium as the primary suspect drug were collected from the data in National Adverse Drug Reaction Monitoring System of China reported by Shandong Province from January 2004 to June 2024 and the US Food and Drug Administration Adverse Event Reporting System (FAERS) database from the first quarter of 2004 to the second quarter of 2023. Adverse reaction/event terms were standardized using the preferred term (PT) and system organ class in Medical Dictionary for Regulatory Activities 24.0. Risk signals were detected using the reporting odds ratio (ROR) method and the Bayesian confidence propagation neural network (BCPNN) algorithm. A PT was defined as an adverse reaction risk signal if the number of reports was ≥3, the lower limit of the 95% confidence interval ( CI) for ROR was >2, and the lower limit of the 95% CI for the information component ( IC) was >0. Descriptive statistical analysis was performed. Results:A total of 3 988 reports with the above 5 antifungal drugs as the primary suspect drug were collected from data in National Adverse Drug Reaction Monitoring System of China reported by Shandong Province, 822 (20.6%) of which were serious cases. Voriconazole, fluconazole, itraconazole, posaconazole, and isavuconazonium was the primary suspect drug in 1 852, 1 395, 703, 27, and 11 cases among the 3 988 reports, and in 591 (31.9%), 149 (10.7%), 59 (8.4%), 18 (66.7%), and 5 (5/11) serious cases among the 822 serious case reports, respectively. A total of 20 066 reports with the above 5 drugs as the primary suspect drug were collected in FAERS database, 9 635 (48.0%) of which were serious cases. Voriconazole, fluconazole, itraconazole, posaconazole, and isavuconazonium was the primary suspect drug in 7 758, 6 180, 2 869, 1 796, and 1 463 cases among the 20 066 reports, and in 4 295 (55.4%), 2 806 (45.4%), 1 191 (41.5%), 828 (46.1%), and 515 (35.2%) serious cases among the 9 635 serious case reports, respectively. Based on the data reported by Shandong Province and in FAERS database, 18 and 207 risk signals of adverse reaction not mentioned in the labels were identified, respectively, and 5 of them were identified in both databases, including fluconazole-induced renal impairment and voriconazole-induced oliguria, delirium, psychiatric disorders, and rhabdomyolysis. In the data reported by Shandong Province and in FAERS database, 13 and 189 reports of muscle-related disorders (rhabdomyolysis, myopathy, and myositis) were identified respectively, involving voriconazole (in 8 and 62 cases), itraconazole (in 4 and 74 cases), and fluconazole (in 1 and 53 cases).Conclusions:Renal impairment induced by fluconazole and oliguria, delirium, psychiatric disorders, and rhabdomyolysis induced by voriconazole are risk signals of adverse reaction not mentioned in the labels for triazole antifungal agents. Voriconazole, itraconazole, and fluconazole may also cause muscle-related disorders, warranting vigilance in clinical practice.
5.Research strategies and methods for precious animal medicine substitutes.
Wei-Hao ZHU ; Xiang LYU ; Li-Li SHEN ; Jiao-Jiao WANG ; Yu-Yu ZHU ; Jin-Ao DUAN ; Peng CAO ; Jing ZHOU ; Hong-Yue MA
China Journal of Chinese Materia Medica 2022;47(17):4560-4564
Animal medicine is a large category of Chinese medicinecommonly used in clinical practice and has important scientific and therapeutic value. Animal medicine isscarcer than herbal medicine. In recent years, with the vigorous development of traditional Chinese medicine(TCM),the contradiction between the increasing industrial demand andsupply of scarce and even endangered medicinal animals has become increasingly prominent. The continuous lack of medicinal animal resources affects the clinical demandandalso causes serious damage to the ecological environment. Only relying on artificial breeding is not enough to alleviate the current condition of depletion. In the face of this dilemma, it is a major challenge for the current industrial development to protect animal resources and meet clinical and industrial needs with "available medicines". The application of substitutes for animal medicines isthe key focus to alleviate this problem, and it is also the key scientific issue to be solved urgently in the modernization of TCM. This paper summarizedand reviewedthe history, current situation, strategies, and methods of animal medicinesubstitution and put forward the point of view of "similar chemical characteristics, similar efficacy, and higher safety" to provide references for scientific substitution and resource protection of rare animals.
Animals
;
Drugs, Chinese Herbal/therapeutic use*
;
Medicine, Chinese Traditional
;
Plant Breeding
;
Plants, Medicinal
;
Research Design
6.Clinical treatment outcomes and their changes in extremely preterm twins: a multicenter retrospective study in Guangdong Province, China.
Bi-Jun SHI ; Ying LI ; Fan WU ; Zhou-Shan FENG ; Qi-Liang CUI ; Chuan-Zhong YANG ; Xiao-Tong YE ; Yi-Heng DAI ; Wei-Yi LIANG ; Xiu-Zhen YE ; Jing MO ; Lu DING ; Ben-Qing WU ; Hong-Xiang CHEN ; Chi-Wang LI ; Zhe ZHANG ; Xiao RONG ; Wei SHEN ; Wei-Min HUANG ; Bing-Yan YANG ; Jun-Feng LYU ; Hui-Wen HUANG ; Le-Ying HUO ; Hong-Ping RAO ; Wen-Kang YAN ; Xue-Jun REN ; Yong YANG ; Fang-Fang WANG ; Dong LIU ; Shi-Guang DIAO ; Xiao-Yan LIU ; Qiong MENG ; Yu WANG ; Bin WANG ; Li-Juan ZHANG ; Yu-Ge HUANG ; Dang AO ; Wei-Zhong LI ; Jie-Ling CHEN ; Yan-Ling CHEN ; Wei LI ; Zhi-Feng CHEN ; Yue-Qin DING ; Xiao-Yu LI ; Yue-Fang HUANG ; Ni-Yang LIN ; Yang-Fan CAI ; Sha-Sha HAN ; Ya JIN ; Guo-Sheng LIU ; Zhong-He WAN ; Yi BAN ; Bo BAI ; Guang-Hong LI ; Yue-Xiu YAN
Chinese Journal of Contemporary Pediatrics 2022;24(1):33-40
OBJECTIVES:
To investigate the clinical treatment outcomes and the changes of the outcomes over time in extremely preterm twins in Guangdong Province, China.
METHODS:
A retrospective analysis was performed for 269 pairs of extremely preterm twins with a gestational age of <28 weeks who were admitted to the department of neonatology in 26 grade A tertiary hospitals in Guangdong Province from January 2008 to December 2017. According to the admission time, they were divided into two groups: 2008-2012 and 2013-2017. Besides, each pair of twins was divided into the heavier infant and the lighter infant subgroups according to birth weight. The perinatal data of mothers and hospitalization data of neonates were collected. The survival rate of twins and the incidence rate of complications were compared between the 2008-2012 and 2013-2017 groups.
RESULTS:
Compared with the 2008-2012 group, the 2013-2017 group (both the heavier infant and lighter infant subgroups) had lower incidence rates of severe asphyxia and smaller head circumference at birth (P<0.05). The mortality rates of both of the twins, the heavier infant of the twins, and the lighter infant of the twins were lower in the 2013-2017 group compared with the 2008-2012 group (P<0.05). Compared with the 2008-2012 group, the 2013-2017 group (both the heavier infant and lighter infant subgroups) had lower incidence rates of pulmonary hemorrhage, patent ductus arteriosus (PDA), periventricular-intraventricular hemorrhage (P-IVH), and neonatal respiratory distress syndrome (NRDS) and a higher incidence rate of bronchopulmonary dysplasia (P<0.05).
CONCLUSIONS
There is a significant increase in the survival rate over time in extremely preterm twins with a gestational age of <28 weeks in the 26 grade A tertiary hospitals in Guangdong Province. The incidences of severe asphyxia, pulmonary hemorrhage, PDA, P-IVH, and NRDS decrease in both the heavier and lighter infants of the twins, but the incidence of bronchopulmonary dysplasia increases. With the improvement of diagnosis and treatment, the multidisciplinary collaboration between different fields of fetal medicine including prenatal diagnosis, obstetrics, and neonatology is needed in the future to jointly develop management strategies for twin pregnancy.
Bronchopulmonary Dysplasia/epidemiology*
;
Female
;
Gestational Age
;
Humans
;
Infant
;
Infant, Extremely Premature
;
Infant, Newborn
;
Pregnancy
;
Respiratory Distress Syndrome, Newborn/epidemiology*
;
Retrospective Studies
;
Treatment Outcome
7.Advances in effectively screening anti-tumor peptides
Li-li SHEN ; Jiao-jiao WANG ; Wu-yue CHEN ; Jing ZHOU ; Hong-yue MA ; Hui-qin XU ; Hai-bo CHENG ; Yin LU ; Jin-ao DUAN
Acta Pharmaceutica Sinica 2020;55(10):2298-2305
Malignant tumor is a disease that severely threaten human health. Common chemotherapeutical drugs currently used in clinical practice have some problems in severe side effects and chemoresistance. In contrast, natural venom peptides and artificially designed targeting peptides have excellent biological activities and potential druggability due to their small molecular weights and high affinity to tumor tissues. Thus, the methods for the discovery of anti-tumor peptides have attracted much attention. In this paper, we summarized the types of anti-tumor peptides from recent literatures. Then, we systematically reviewed screening theories, methods and applications based on traditional chromatographic separation, peptidomics, phage display, phenotypic screening, and artificial intelligence. These strategies and technologies will provide a methodological reference for accelerating anti-tumor peptides research.
8.Elucidating the interaction of kansui and licorice by comparative plasma/tissue metabolomics and a heatmap with relative fold change
Yan-Yan CHEN ; Juan SHEN ; Yu-Ping TANG ; Jin-Gao YU ; Jing WANG ; Shi-Jun YUE ; Jie YANG ; Jia-Qian CHEN ; Li-Mei FENG ; Zhen-Hua ZHU ; Wei-Wei TAO ; Li ZHANG ; Jin-Ao DUAN
Journal of Pharmaceutical Analysis 2019;9(5):312-323
Although compatibility is highly advocated in traditional Chinese medicine (TCM), inappropriate com-bination of some herbs may reduce the therapeutic action and even produce toxic effects. Kansui and licorice, one of TCM"Eighteen Incompatible Medicaments", are the most representative cases of improper herbal combination, which may still be applied simultaneously under given conditions. However, the potential mechanism of their compatibility and incompatibility is unclear. In the present study, two different ratios of kansui and licorice, representing their compatibility and incompatibility respectively, were designed to elucidate their interaction by comparative plasma/tissue metabolomics and a heatmap with relative fold change. As a result, glycocholic acid, prostaglandin F2a, dihydroceramide and sphin-ganine were screened out as the principal alternative biomarkers of compatibility group; sphinganine, dihydroceramide, arachidonic acid, leukotriene B4, acetoacetic acid and linoleic acid were those of in-compatibility group. Based on the values of biomarkers in each tissue, the liver was identified as the compatible target organ, while the heart, liver, and kidney were the incompatible target organs. Furthermore, important pathways for compatibility and incompatibility were also constructed. These results help us to better understand and utilize the two herbs, and the study was the first to reveal some innate characters of herbs related to TCM"Eighteen Incompatible Medicaments".

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