Pharmacogenetic influences on the response to pharmacological treatment in autism spectrum disorders

A. Hervás, Alexandre Serra-LLovich, I. Rueda, I. Targa, Silvina Guijarro, Aitana Bigorra, Martha Cancino, V. Bote, M. Cárcel, Nare Amasi-Hartoonian, Marta H Hernandez, M. Arranz
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引用次数: 4

Abstract

Aim: About a third of patients with autism spectrum disorder (ASD) receive pharmacological treatment for comorbid symptoms. However, 30%-50% do not respond adequately and/or present severe and long-lasting side effects. Previous studies have reported the influence of variants in genes coding for drug targets on the efficacy and safety of pharmacological treatments, including genetic polymorphisms in dopaminergic and serotonergic systems. However, most studies have focused on the adult population, with relatively few studies in children and adolescents, and no clear biomarkers of response have been reported in these populations. The aim of our study was to identify genetic predictors of drug response in patients with ASD. This information may be used to personalise pharmacological treatment and improve the efficacy and safety of psychotropic drugs in patients with ASD. Methods: Genetic variants in dopaminergic and serotonergic drug targets ( SLC6A3 , DRD2 , DRDRD3 , DRD4 , HTR2A , and HTR2C ) and in other genes previously associated with treatment efficacy and/or induced side effects ( ANKK1 , BDNF , COMT , and HTR1A ) were investigated in 176 children and adolescents diagnosed with ASD and undergoing pharmacological treatment. Results: A SLC6A3 genetic variant was associated with response to methylphenidate in our ASD cohort, whereas HTR2A and HTR2C allele and haplotype distributions were associated with adverse reactions such as somnolence, mood alterations, and BMI. ANKK1 , COMT , and BDNF genetic variants were mainly associated with treatment side effects. Conclusion: If confirmed, these genetic variants may be used as predictors of clinical outcome and help to personalise pharmacological treatments in patients with ASD. previous study reported this polymorphism associated with insulin-resistance in patients with ASD treated with risperidone [25] . We did not find any significant association with the other dopaminergic variants investigated ( DRD2 rs18012028, DRD3 rs167771 & rs6280, and a 48bp repeat in DRD4 ), although DRD3 haplotype combinations were found nominally associated with shutdowns in the total sample ( P = 0.04) and with side effects in the methylphenidate subgroup ( P = 0.05). Previous studies reported association between the DRD3 rs6280 polymorphism and methylphenidate response in a group of 64 children with ASD [14] and risperidone response in a sample of 45 patients with ASD [15] . These findings require further investigation in larger samples to confirm the possible contribution of DRD3 variants to treatment response variability in ASD.
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药物遗传学对自闭症谱系障碍药物治疗反应的影响
目的:大约三分之一的自闭症谱系障碍(ASD)患者接受共病症状的药物治疗。然而,30%-50%的药物反应不充分和/或出现严重和持久的副作用。先前的研究已经报道了药物靶点编码基因变异对药理学治疗的有效性和安全性的影响,包括多巴胺能和血清素能系统的遗传多态性。然而,大多数研究都集中在成人人群,对儿童和青少年的研究相对较少,并且在这些人群中没有明确的生物标志物。我们研究的目的是确定ASD患者药物反应的遗传预测因子。这些信息可用于个性化药物治疗,提高ASD患者精神药物的疗效和安全性。方法:在176名诊断为ASD并接受药物治疗的儿童和青少年中,研究了多巴胺能和血清素能药物靶点(SLC6A3、DRD2、DRDRD3、DRD4、HTR2A和HTR2C)和其他先前与治疗效果和/或诱导副作用相关的基因(ANKK1、BDNF、COMT和HTR1A)的遗传变异。结果:SLC6A3基因变异与我们的ASD队列中对哌甲酯的反应相关,而HTR2A和HTR2C等位基因和单倍型分布与嗜睡、情绪改变和BMI等不良反应相关。ANKK1、COMT和BDNF基因变异主要与治疗副作用相关。结论:如果得到证实,这些遗传变异可能用作临床结果的预测因子,并有助于ASD患者的个性化药物治疗。先前的研究报道了这种多态性与接受利培酮治疗的ASD患者胰岛素抵抗相关。我们没有发现与其他所研究的多巴胺能变异(DRD2 rs18012028, DRD3 rs167771和rs6280,以及DRD4中的48bp重复)有任何显著关联,尽管在总样本中发现DRD3单倍型组合与关闭相关(P = 0.04),并且在哌甲酯亚组中发现与副作用相关(P = 0.05)。先前的研究报道了64名ASD[14]患儿的DRD3 rs6280多态性与哌甲酯反应和45名ASD[14]患者的利培酮反应之间的关联。这些发现需要在更大的样本中进一步调查,以确认DRD3变异对ASD治疗反应变异性的可能贡献。
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