Clinical & Biological Psychology, Institute of Psychology and Education, Ulm University, Albert-Einstein-Allee 47, 89081, Ulm, Germany.
The University of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, 37 Kent Street, Woolloongabba, QLD 4102, Australia.
Sci Rep. 2018 Feb 22;8(1):3468. doi: 10.1038/s41598-018-21763-6.
Childhood maltreatment (CM) can increase the risk of adverse health consequences in adulthood. A deeper insight in underlying biological pathways would be of high clinical relevance for early detection and intervention. The untargeted investigation of all detectable metabolites and lipids in biological samples represents a promising new avenue to identify so far unknown biological pathways associated with CM. Using an untargeted approach, liquid chromatography-mass spectrometry (LC-MS) was performed on peripheral blood serum samples collected three months postpartum from 105 women with varying degrees of CM exposure. Comprehensive univariate and multivariate statistical analyses consistently identified eight biomarker candidates putatively belonging to antioxidant-, lipid-, and endocannabinoid-associated pathways, which differentiated between women with and without CM. Classification algorithms allowed for clear prediction of the CM status with high accuracy scores (~80-90%). Similar results were obtained when excluding all women with a lifetime psychiatric diagnosis. In order to confirm the identities of these promising biomarker candidates, LC-MS/MS analysis was applied, confirming one of the metabolites as bilirubin IXa, a potent antioxidant with immunomodulatory properties. In sum, our results suggest novel pathways that could explain long-term effects of CM on health and disease by influencing biological patterns associated with energy metabolism, inflammation, and oxidative stress.
儿童虐待(CM)会增加成年后患不良健康后果的风险。深入了解潜在的生物学途径对于早期检测和干预具有重要的临床意义。非靶向性地检测生物样本中所有可检测的代谢物和脂质,是一种很有前途的新方法,可以识别迄今为止与 CM 相关的未知生物学途径。本研究采用非靶向性方法,对 105 名产后 3 个月的女性外周血血清样本进行了液相色谱-质谱(LC-MS)分析,这些女性暴露于 CM 的程度不同。综合的单变量和多变量统计分析一致鉴定出 8 种生物标志物候选物,这些候选物可能与抗氧化剂、脂质和内源性大麻素相关途径有关,可将 CM 组和非 CM 组区分开来。分类算法可以准确地(~80-90%)预测 CM 状态。当排除所有有终生精神病史的女性时,也得到了类似的结果。为了确认这些有前途的生物标志物候选物的身份,应用了 LC-MS/MS 分析,证实了其中一种代谢物为胆红素 IXa,它是一种具有免疫调节特性的强效抗氧化剂。总之,我们的研究结果表明,CM 通过影响与能量代谢、炎症和氧化应激相关的生物学模式,可能会影响健康和疾病的长期后果,从而为 CM 对健康和疾病的长期影响提供了新的解释。