Hepatotoxicity reports in the FDA adverse event reporting system database: A comparison of drugs that cause injury via mitochondrial or other mechanisms

被引:21
|
作者
Rana, Payal [1 ]
Aleo, Michael D. [1 ]
Wen, Xuerong [2 ]
Kogut, Stephen [2 ]
机构
[1] Pfizer, Drug Safety Res & Dev, Groton, CT 06340 USA
[2] Univ Rhode Isl, Coll Pharm, Kingston, RI 02881 USA
关键词
Mitochondrial toxicity; FAERS database; Adverse event reporting; Drug-induced liver injury; Hepatotoxicity; INDUCED LIVER-INJURY; FAERS DATABASE; PUBLIC VERSION; HEPG2; CELLS; IN-VIVO; TOXICITY; DYSFUNCTION; SUSCEPTIBILITY; CYTOTOXICITY; INCREASES;
D O I
10.1016/j.apsb.2021.05.028
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Drug-induced liver injury (DILI) is a leading reason for preclinical safety attrition and postmarket drug withdrawals. Drug-induced mitochondrial toxicity has been shown to play an essential role in various forms of DILI, especially in idiosyncratic liver injury. This study examined liver injury reports submitted to the Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) for drugs associated with hepatotoxicity via mitochondrial mechanisms compared with non-mitochondrial mechanisms of toxicity. The frequency of hepatotoxicity was determined at a group level and individual drug level. A reporting odds ratio (ROR) was calculated as the measure of effect. Between the two DILI groups, reports for DILI involving mitochondrial mechanisms of toxicity had a 1.43 (95% CI 1.42-1.45; P < 0.0001) times higher odds compared to drugs associated with non-mitochondria l mechanisms of toxicity. Antineoplastic, antiviral, analgesic, antibiotic, and antimycobacterial drugs were the top five drug classes with the highest ROR values. Although the top 20 drugs with the highest ROR values included drugs with both mitochondrial and non-mitochondrial injury mechanisms, the top four drugs (ROR values > 18: benzbromarone, troglitazone, isoniazid, rifampin) were associated with mitochondrial mechanisms of toxicity. The major demographic influence for DILI risk was also examined. There was a higher mean patient age among reports for drugs that were associated with mitochondrial mechanisms of toxicity [56.1 +/- 18.33 (SD)] compared to non-mitochondrial mechanisms [48 +/- 19.53 (SD)] (P < 0.0001), suggesting that age may play a role in susceptibility to DILI via mitochondrial mechanisms of toxicity. Univariate logistic regression analysis showed that reports of liver injury were 2.2 (odds ratio: 2.2, 95% CI 2.12-2.26) times more likely to be associated with older patient age, as compared with re-ports involving patients less than 65 years of age. Compared to males, female patients were 37% less likely (odds ratio: 0.63, 95% CI 0.61-0.64) to be subjects of liver injury reports for drugs associated with mitochondrial toxicity mechanisms. Given the higher proportion of severe liver injury reports among drugs associated with mitochondrial mechanisms of toxicity, it is essential to understand if a drug causes mitochondrial toxicity during preclinical drug development when drug design alternatives, more clini-cally relevant animal models, and better clinical biomarkers may provide a better translation of drug -induced mitochondrial toxicity risk assessment from animals to humans. Our findings from this study align with mitochondrial mechanisms of toxicity being an important cause of DILI, and this should be further investigated in real-world studies with robust designs. 2021 Chinese Pharmaceutical Association and Institute of Materia Medica, Chinese Academy of Medical Sciences. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:3857 / 3868
页数:12
相关论文
共 50 条
  • [21] Antifungal Drugs and Drug-Induced Liver Injury: A Real-World Study Leveraging the FDA Adverse Event Reporting System Database
    Zhou, Zhi-Xuan
    Yin, Xue-Dong
    Zhang, Yu
    Shao, Qi-Hui
    Mao, Xin-Yu
    Hu, Wen-Juan
    Shen, Yun-Lin
    Zhao, Bin
    Li, Zhi-Ling
    [J]. FRONTIERS IN PHARMACOLOGY, 2022, 13
  • [22] ETHNIC DIFFERENCE IN ISONIAZID-INDUCED LIVER INJURY; DETECTION BY THE FDA ADVERSE EVENT REPORTING SYSTEM DATABASE
    Nakano, Shun
    Kawai, Kana
    Ogawa, Yoshihiro
    Tohkin, Mashiro
    [J]. DRUG METABOLISM REVIEWS, 2015, 47 : 224 - 224
  • [23] Signal Detection of Imipenem Compared to Other Drugs from Korea Adverse Event Reporting System Database
    Park, Kyounghoon
    Soukavong, Mick
    Kim, Jungmee
    Kwon, Kyoung-eun
    Jin, Xue-mei
    Lee, Joongyub
    Yang, Bo Ram
    Park, Byung-Joo
    [J]. YONSEI MEDICAL JOURNAL, 2017, 58 (03) : 564 - 569
  • [24] Severe cutaneous adverse reactions to drugs: A real-world pharmacovigilance study using the FDA Adverse Event Reporting System database
    Li, Dongxuan
    Gou, Jinghui
    Zhu, Jun
    Zhang, Tongyan
    Liu, Feng
    Zhang, Daojun
    Dai, Liyang
    Li, Wenjun
    Liu, Qinglong
    Qin, Chunmeng
    Du, Qian
    Liu, Songqing
    [J]. FRONTIERS IN PHARMACOLOGY, 2023, 14
  • [25] Pharmacovigilance of esketamine nasal spray: an analysis of the FDA adverse event reporting system database
    Liu, Ruixue
    Liu, Chunxiao
    Feng, Dianwei
    Guo, Tongxin
    Wang, Ying
    [J]. FRONTIERS IN PHARMACOLOGY, 2024, 15
  • [26] Exploring the Rising Incidence of Myocarditis and Other Cardiovascular Adverse Events of Nivolumab and Ipilimumab: Analysis of FDA Adverse Event Reporting System Database
    Khanal, Resha
    Oli, Sharad
    Rajak, Kripa
    Halder, Anupam
    Hufdhi, Raied
    Bhandari, Binita
    Oli, Shital
    Alraies, M. Chadi C.
    [J]. CIRCULATION, 2023, 148
  • [27] Botulinum Toxin Type A Overdoses: Analysis of the FDA Adverse Event Reporting System Database
    Rashid Kazerooni
    Edward P. Armstrong
    [J]. Clinical Drug Investigation, 2018, 38 : 867 - 872
  • [28] Botulinum Toxin Type A Overdoses: Analysis of the FDA Adverse Event Reporting System Database
    Kazerooni, Rashid
    Armstrong, Edward P.
    [J]. CLINICAL DRUG INVESTIGATION, 2018, 38 (09) : 867 - 872
  • [29] Botulinum toxin type A overdoses: analysis of the FDA adverse event reporting system database
    Kazerooni, Rashid
    [J]. NEUROLOGY, 2019, 92 (15)
  • [30] An Evaluation of Postmarketing Reports with an Outcome of Death in the US FDA Adverse Event Reporting System
    Kathryn Marwitz
    S. Christopher Jones
    Cindy M. Kortepeter
    Gerald J. Dal Pan
    Monica A. Muñoz
    [J]. Drug Safety, 2020, 43 : 457 - 465