Freuer Dennis, Meisinger Christa
Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany.
BMJ Ment Health. 2024 Oct 2;27(1):e301230. doi: 10.1136/bmjment-2024-301230.
From the pathway perspective, metabolites have the potential to improve knowledge about the aetiology of psychiatric diseases. Previous studies suggested a link between specific blood metabolites and mental disorders, but some Mendelian randomisation (MR) studies in particular are insufficient for various reasons.
This study focused on bias assessment due to interdependencies between metabolites and psychiatric mediation effects.
In a multistep framework containing network and multivariable MR, direct effects of 21 mutually adjusted metabolites on 8 psychiatric disorders were estimated based on summary statistics of genome-wide association studies from multiple resources. Robust inverse-variance weighted models were used in primary analyses. Several sensitivity analyses were performed to assess different patterns of pleiotropy and weak instrument bias. Estimates for the same phenotypes from different resources were pooled using fixed effect meta-analysis models.
After adjusting for mediation effects, genetically predicted metabolite levels of six metabolites of lipid, amino acid and cofactors pathways were directly associated with overall six mental disorders (attention-deficit/hyperactivity disorder, bipolar disorder, anorexia nervosa, depression, post-traumatic stress disorder and schizophrenia). Point estimates ranged from -0.45 (95% CI -0.67; -0.24, p=1.0×10) to 1.78 (95% CI 0.85; 2.71, p=0.006). No associations were found with anxiety and suicide attempt.
This study provides insights into new metabolic pathways that seems to be causally related to certain mental disorders.
Further studies are needed to investigate whether the identified associations are effects of the metabolites itself or the biochemical pathway regulating the metabolites.
从代谢途径的角度来看,代谢物有可能增进我们对精神疾病病因学的了解。先前的研究表明特定血液代谢物与精神障碍之间存在联系,但一些孟德尔随机化(MR)研究尤其由于各种原因而不够充分。
本研究聚焦于代谢物之间的相互依赖性以及精神疾病中介效应所导致的偏倚评估。
在一个包含网络和多变量MR的多步骤框架中,基于来自多个资源的全基因组关联研究的汇总统计数据,估计了21种相互调整的代谢物对8种精神疾病的直接影响。主要分析中使用了稳健的逆方差加权模型。进行了多项敏感性分析,以评估不同的多效性模式和弱工具偏倚。使用固定效应荟萃分析模型汇总来自不同资源的相同表型的估计值。
在调整中介效应后,脂质、氨基酸和辅因子途径的六种代谢物的基因预测代谢物水平与总共六种精神障碍(注意力缺陷多动障碍、双相情感障碍、神经性厌食症、抑郁症、创伤后应激障碍和精神分裂症)直接相关。点估计范围从-0.45(95%CI -0.67;-0.24,p = 1.0×10)到1.78(95%CI 0.85;2.71,p = 0.006)。未发现与焦虑和自杀未遂有关联。
本研究为似乎与某些精神障碍存在因果关系的新代谢途径提供了见解。
需要进一步研究以调查所确定的关联是代谢物本身的效应还是调节代谢物的生化途径的效应。