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非靶标血清素能药物活性的影响:采用系统生物信息学方法分析血清素综合征报告。

Implications of Off-Target Serotoninergic Drug Activity: An Analysis of Serotonin Syndrome Reports Using a Systematic Bioinformatics Approach.

机构信息

Kasiska Division of Health Sciences, Department of Pharmacy Practice, College of Pharmacy, Idaho State University, Meridian, Idaho.

Kasiska Division of Health Sciences, Department of Biomedical & Pharmaceutical Sciences, College of Pharmacy, Idaho State University, Meridian, Idaho.

出版信息

Pharmacotherapy. 2018 Sep;38(9):888-898. doi: 10.1002/phar.2163. Epub 2018 Jul 29.

Abstract

STUDY OBJECTIVE

Serotonergic adverse drug events (ADEs) are caused by enhanced intrasynaptic concentrations of 5-hydroxytryptamine (5-HT). No systematic process currently exists for evaluating cumulative 5-HT and off-target toxicity of serotonergic drugs. The primary study aim was to create a Serotonergic Expanded Bioactivity Matrix (SEBM) by using a molecular bioinformatics, polypharmacologic approach for assessment of the participation of individual 5-HT drugs in serotonin syndrome (SS) reports.

DATA SOURCES

Publicly available databases including the U.S. Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS), ChEMBL, DrugBank, PubChem, and Kyoto Encyclopedia of Genes and Genomes (KEGG) were queried for computational and pharmacologic data.

DESIGN

An in-house bioinformatics TargetSearch program ( http://dxulab.org/software) was used to characterize 71 serotonergic drugs interacting at 13 serotonin receptor subtypes and serotonin reuptake transporter protein (SERT). In addition, off-target interactions at norepinephrine transporter (NET), monoamine oxidase (MAO), and muscarinic receptors were included to define seven polypharmacological drug cohorts. Serotonin syndrome reports for each serotonergic drug were extracted from FAERS by using the Sternbach and Hunter criteria.

MEASUREMENTS AND MAIN RESULTS

A proportional reporting adverse drug reaction (ADR) ratio (PRR) was calculated from each drug's total ADEs and SS case reports and aggregated by drug bioactivity cohorts. Triple-receptor interactions had a disproportionately higher number of SS cases using both the Hunter criteria (mean PRR 1.72, 95% CI 1.05-2.39) and Sternbach (mean PRR 1.54, 95% CI 1.29-1.79). 5-Hydroxytryptamine agonists were associated with a significantly lower proportion of SS cases using the Hunter and Sternbach criteria, respectively (mean PRR 0.49, 95% CI 0.17-0.81 and mean PRR 0.49, 95% CI 0.15-0.83). Drugs with disproportionately higher participation in SS vary considerably between the two diagnostic criteria.

CONCLUSION

The SEBM model suggests a possible polypharmacological role in SS. Although further research is needed, off-target receptor activity may help explain differences in severity of toxicity and clinical presentation.

摘要

研究目的

5-羟色胺(5-HT)的突触内浓度增强会导致血清素能药物不良反应(ADE)。目前尚无系统的方法来评估血清素能药物的累积 5-HT 和非靶毒性。主要研究目的是通过使用分子生物信息学、多药理学方法,创建血清素能扩展生物活性矩阵(SEBM),以评估单个 5-HT 药物在血清素综合征(SS)报告中的参与情况。

数据来源

包括美国食品和药物管理局(FDA)不良事件报告系统(FAERS)、ChEMBL、DrugBank、PubChem 和京都基因与基因组百科全书(KEGG)在内的公开数据库,用于计算和药理学数据查询。

设计

使用内部生物信息学 TargetSearch 程序(http://dxulab.org/software)来描述 71 种与 13 种血清素受体亚型和血清素再摄取转运蛋白(SERT)相互作用的血清素能药物。此外,还包括去甲肾上腺素转运蛋白(NET)、单胺氧化酶(MAO)和毒蕈碱受体的非靶相互作用,以定义七个多药理学药物组。通过使用 Sternbach 和 Hunter 标准,从 FAERS 中提取每种血清素能药物的 SS 报告。

测量和主要结果

从每种药物的总 ADE 和 SS 病例报告中计算了比例报告的药物不良反应(ADR)比值(PRR),并按药物生物活性组进行了汇总。使用 Hunter 标准(平均 PRR1.72,95%CI1.05-2.39)和 Sternbach 标准(平均 PRR1.54,95%CI1.29-1.79),三重受体相互作用的 SS 病例数量不成比例地增加。5-羟色胺激动剂与使用 Hunter 和 Sternbach 标准的 SS 病例比例显著降低有关(平均 PRR0.49,95%CI0.17-0.81 和平均 PRR0.49,95%CI0.15-0.83)。在两种诊断标准中,与 SS 不成比例地参与的药物差异很大。

结论

SEBM 模型表明在 SS 中可能存在多药理学作用。尽管需要进一步研究,但非靶受体活性可能有助于解释毒性严重程度和临床表现的差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e70a/6175126/7175b18eec69/PHAR-38-888-g001.jpg

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