Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden; Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden; Centre for Eating Disorders Innovation, Karolinska Institutet, Stockholm, Sweden.
Eur Neuropsychopharmacol. 2021 Aug;49:1-10. doi: 10.1016/j.euroneuro.2021.02.015. Epub 2021 Mar 18.
Our understanding of pathophysiological mechanisms underlying anorexia nervosa (AN) is incomplete. The aim was to conduct a metabolomics profiling of serum samples from women with AN (n = 65), women who have recovered from AN (AN-REC, n = 65), and age-matched healthy female controls (HC, n = 65). Serum concentrations of 21 metabolites were measured using proton nuclear magnetic resonance (H NMR). We used orthogonal partial least-squares discriminant analysis (OPLS-DA) modeling to assign group classification based on the metabolites. Analysis of variance (ANOVA) was used to test for metabolite concentration differences across groups. The OPLS-DA model could distinguish between the AN and HC groups (p = 9.05 × 10-11 R2Y = 0.36, Q2 = 0.37) and between the AN-REC and HC groups (p = 8.47 × 10-6, R2Y = 0.36, Q2 = 0.24,), but not between the AN and AN-REC groups (p = 0.63). Lower methanol concentration in the AN and AN-REC group explained most of the variance. Likewise, the strongest finding in the univariate analyses was lower serum methanol concentration in both AN and AN-REC compared with HC, which withstood adjustment for body mass index (BMI). We report for the first time lower serum concentrations of methanol in AN. The fact that low methanol was also found in recovered AN suggests that low serum concentration of methanol could either be trait marker or a scar effect of AN.
我们对神经性厌食症(AN)的病理生理机制的理解还不完全。目的是对 AN 患者(n=65)、从 AN 中恢复的女性(AN-REC,n=65)和年龄匹配的健康女性对照(HC,n=65)的血清样本进行代谢组学分析。使用质子核磁共振(H NMR)测量 21 种代谢物的血清浓度。我们使用正交偏最小二乘判别分析(OPLS-DA)模型基于代谢物进行分组分类。方差分析(ANOVA)用于检验各组之间代谢物浓度的差异。OPLS-DA 模型可以区分 AN 和 HC 组(p=9.05×10-11,R2Y=0.36,Q2=0.37)和 AN-REC 和 HC 组(p=8.47×10-6,R2Y=0.36,Q2=0.24),但不能区分 AN 和 AN-REC 组(p=0.63)。AN 和 AN-REC 组中甲醇浓度较低解释了大部分差异。同样,在单变量分析中最强的发现是 AN 和 AN-REC 组的血清甲醇浓度均低于 HC,且经体重指数(BMI)调整后仍如此。我们首次报道 AN 患者血清甲醇浓度降低。在恢复的 AN 中也发现低甲醇的事实表明,低血清甲醇浓度可能是 AN 的特征标志物或 AN 的疤痕效应。