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精神障碍发病年龄:大麻、BDNF Val66Met 及性别特异性基因-环境交互作用模型。

Age at onset of psychotic disorder: cannabis, BDNF Val66Met, and sex-specific models of gene-environment interaction.

机构信息

University Psychiatric Centre Catholic University Leuven, Kortenberg, Belgium.

出版信息

Am J Med Genet B Neuropsychiatr Genet. 2011 Apr;156B(3):363-9. doi: 10.1002/ajmg.b.31174. Epub 2011 Feb 8.

DOI:10.1002/ajmg.b.31174
PMID:21305693
Abstract

Discovering modifiable predictors for age at onset may help to identify predictors of transition to psychotic disorder in the "at-risk mental state." Inconsistent effects of sex, BDNF Val66Met (rs6265), and cannabis use on age of onset were previously reported. BDNF Val66Met and cannabis use before illness onset were retrospectively assessed in a sample of 585 patients with schizophrenia and their association with age at onset was evaluated. Cannabis use was significantly associated with earlier age at onset of psychotic disorder (AOP; average difference 2.7 years, P < 0.001), showing dose-response effects with higher frequency and earlier age at first use. There was a weak association between BDNF Val66Met genotype and AOP (difference 1.2 years; P = 0.050). No evidence was found for BDNF × cannabis interaction (interaction χ(2) (1) = 0.65, P = 0.420). However, a significant BDNF × cannabis × sex interaction was found (interaction χ(2) (1) = 4.99, P = 0.026). In female patients, cannabis use was associated with earlier AOP in BDNF Met-carriers (difference 7 years), but not in Val/Val-genotypes. In male patients, cannabis use was associated with earlier AOP irrespective of BDNF Val66Met genotype (difference 1.3 years). BDNF Val66Met genotype in the absence of cannabis use did not influence AOP, neither in female or male patients with psychotic disorder. Complex interactions between cannabis and BDNF may shape age at onset in female individuals at risk of psychotic disorder. No compelling evidence was found that BDNF genotype is associated with age at onset of psychotic disorder in the absence of cannabis use.

摘要

发现可改变的发病年龄预测因素可能有助于在“有风险的精神状态”中识别向精神病性障碍转变的预测因素。先前报道了性、BDNF Val66Met(rs6265)和大麻使用对发病年龄的不一致影响。在 585 名精神分裂症患者的样本中回顾性评估了 BDNF Val66Met 和疾病发作前的大麻使用情况,并评估了它们与发病年龄的关联。大麻使用与精神病性障碍发病年龄(AOP)显著相关(平均差异 2.7 年,P<0.001),呈现出使用频率越高和首次使用年龄越早,发病年龄越早的剂量反应效应。BDNF Val66Met 基因型与 AOP 之间存在微弱关联(差异 1.2 年;P=0.050)。未发现 BDNF 和大麻之间存在相互作用的证据(交互 χ(2)(1)=0.65,P=0.420)。然而,发现 BDNF 和大麻之间存在显著的交互作用(交互 χ(2)(1)=4.99,P=0.026)。在女性患者中,BDNF 携带者的大麻使用与更早的 AOP 相关(差异 7 年),而在 Val/Val 基因型中则没有。在男性患者中,无论 BDNF Val66Met 基因型如何,大麻使用均与更早的 AOP 相关(差异 1.3 年)。在没有大麻使用的情况下,BDNF Val66Met 基因型并不影响女性或男性精神病患者的 AOP。大麻和 BDNF 之间的复杂相互作用可能会影响有精神病风险的女性个体的发病年龄。没有令人信服的证据表明,在没有大麻使用的情况下,BDNF 基因型与精神病性障碍的发病年龄相关。

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