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抗糖尿病药物的潜在抗抑郁作用:基于报告系统数据库FAERS和VigiBase数据的药物警戒研究新见解。

The potential antidepressant effect of antidiabetic agents: New insights from a pharmacovigilance study based on data from the reporting system databases FAERS and VigiBase.

作者信息

Battini Vera, Van Manen Robbert P, Gringeri Michele, Mosini Giulia, Guarnieri Greta, Bombelli Anna, Pozzi Marco, Nobile Maria, Radice Sonia, Clementi Emilio, Carnovale Carla

机构信息

Unit of Clinical Pharmacology, Department of Biomedical and Clinical Sciences, University Hospital, Università degli Studi di Milano, Milan, Italy.

Oracle Health Sciences Global Business Unit, Kattendijke, Netherlands.

出版信息

Front Pharmacol. 2023 Feb 17;14:1128387. doi: 10.3389/fphar.2023.1128387. eCollection 2023.

Abstract

Growing evidence supports a bidirectional association between diabetes and depression; promising but limited and conflicting data from human studies support the intriguing possibility that antidiabetic agents may be used to relieve effectively depressive symptoms in diabetic patients. We investigated the potential antidepressant effects of antidiabetic drugs in a high-scale population data from the two most important pharmacovigilance databases, , the FDA Adverse Event Reporting System (FAERS) and the VigiBase. From the two primary cohorts of patients treated with antidepressants retrieved from FDA Adverse Event Reporting System and VigiBase we identified (depressed patients experiencing therapy failure) and (depressed patients experiencing any other adverse event). We then calculated the Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Empirical Bayes Geometric Mean (EBGM), and Empirical Bayes Regression-Adjusted Mean (ERAM) for s in relation with the concurrent exposure to at least one of the following antidiabetic agent: A10BA Biguanides; A10BB Sulfonylureas; A10BG Thiazolidinediones; A10BH DPP4-inhibitors; A10BJ GLP-1 analogues; A10BK SGLT2 inhibitors (., those agents for which preliminary evidence from literature supports our pharmacological hypothesis). For GLP-1 analogues, all the disproportionality scores showed values <1, , statistically significant, in both analyses [from the FAERS: ROR confidence interval of 0.546 (0.450-0.662); PRR (-value) of 0.596 (0.000); EBGM (CI) of 0.488 (0.407-0.582); ERAM (CI) of 0.480 (0.398-0.569) and VigiBase: ROR (CI) of 0.717 (0.559-0.921); PRR (-value) of 0.745 (0.033); EBGM (CI) of 0.586 (0.464-0.733); ERAM of (CI): 0.515 (0.403-0.639)]. Alongside GLP-1 analogues, DPP-4 Inhibitors and Sulfonylureas showed the greatest potential protective effect. With regard to specific antidiabetic agents, liraglutide and gliclazide were associated with a statistically significant decrease in all disproportionality scores, in both analyses. The findings of this study provide encouraging results, albeit preliminary, supporting the need for further clinical research for investigating repurposing of antidiabetic drugs for neuropsychiatric disorders.

摘要

越来越多的证据支持糖尿病与抑郁症之间存在双向关联;来自人体研究的有前景但有限且相互矛盾的数据支持了一种有趣的可能性,即抗糖尿病药物可用于有效缓解糖尿病患者的抑郁症状。我们在两个最重要的药物警戒数据库——美国食品药品监督管理局不良事件报告系统(FAERS)和VigiBase的大规模人群数据中,研究了抗糖尿病药物的潜在抗抑郁作用。从FDA不良事件报告系统和VigiBase中检索出的接受抗抑郁药治疗的两个主要患者队列中,我们确定了(经历治疗失败的抑郁症患者)和(经历任何其他不良事件的抑郁症患者)。然后,我们计算了与同时暴露于以下至少一种抗糖尿病药物相关的报告比值比(ROR)、比例报告比值比(PRR)、经验贝叶斯几何均值(EBGM)和经验贝叶斯回归调整均值(ERAM):A10BA双胍类;A10BB磺脲类;A10BG噻唑烷二酮类;A10BH二肽基肽酶4抑制剂;A10BJ胰高血糖素样肽-1类似物;A10BK钠-葡萄糖协同转运蛋白2抑制剂(即那些文献初步证据支持我们药理学假设的药物)。对于胰高血糖素样肽-1类似物,在两项分析中所有不成比例得分均显示值<1,即无统计学意义[来自FAERS:ROR置信区间为0.546(0.450 - 0.662);PRR(P值)为0.596(0.000);EBGM(CI)为0.488(0.407 - 0.582);ERAM(CI)为0.480(0.398 - 0.569),以及VigiBase:ROR(CI)为0.717(0.559 - 0.921);PRR(P值)为0.745(0.033);EBGM(CI)为0.586(0.464 - 0.733);ERAM(CI)为0.515(0.403 - 0.639)]。除了胰高血糖素样肽-1类似物外,二肽基肽酶4抑制剂和磺脲类显示出最大的潜在保护作用。关于特定的抗糖尿病药物,在两项分析中,利拉鲁肽和格列齐特与所有不成比例得分的统计学显著降低相关。本研究结果提供了令人鼓舞的结果,尽管是初步的,支持了对将抗糖尿病药物重新用于神经精神疾病进行进一步临床研究的必要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f96/9981969/98e3d529fcbe/fphar-14-1128387-g001.jpg

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