在未经治疗的重度抑郁症患者中,基于DNA甲基化的表观遗传衰老加速和自然杀伤细胞减少。

Ryota Shindo, Takaki Tanifuji, Satoshi Okazaki, Ikuo Otsuka, Toshiyuki Shirai, Kentaro Mouri, Tadasu Horai, Akitoyo Hishimoto
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摘要

重性抑郁障碍(MDD)已知会导致严重残疾。全基因组DNA甲基化(DNAm)图谱可用于估计生物衰老和表观遗传学时钟。然而,在MDD患者中报道的表观遗传学时钟的信息是不一致的。由于抗抑郁药可能是混杂因素,我们在从未接受过抑郁症药物治疗的MDD患者中使用各种基于DNAm的预测因子来评估生物衰老。一个公开可用的数据集,由未经治疗的MDD患者的全血样本组成(n = 40)和对照组(n = 40)。我们分析了五种表观遗传学时钟(HorvathAge、HannumAge、SkinBloodAge、PhenoAge和GrimAge)、基于DNAm的端粒长度(DNAmTL)、基于DNA的与年龄相关的血浆蛋白(GrimAge组分),以及基于DNA的白细胞组成。结果表明,未经治疗的MDD患者与HannumAge和GrimAge的表观遗传学衰老加速显著相关。此外,在未经治疗的MDD患者中,观察到基于DNAm的自然杀伤细胞减少。
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Accelerated epigenetic aging and decreased natural killer cells based on DNA methylation in patients with untreated major depressive disorder.

Major depressive disorder (MDD) is known to cause significant disability. Genome-wide DNA methylation (DNAm) profiles can be used to estimate biological aging and as epigenetic clocks. However, information on epigenetic clocks reported in MDD patients is inconsistent. Since antidepressants are likely confounders, we evaluated biological aging using various DNAm-based predictors in patients with MDD who had never received depression medication. A publicly available dataset consisting of whole blood samples from untreated MDD patients (n = 40) and controls (n = 40) was used. We analyzed five epigenetic clocks (HorvathAge, HannumAge, SkinBloodAge, PhenoAge, and GrimAge), DNAm-based telomere length (DNAmTL), and DNAm-based age-related plasma proteins (GrimAge components), as well as DNAm-based white blood cell composition. The results indicate that patients with untreated MDD were significantly associated with epigenetic aging acceleration in HannumAge and GrimAge. Furthermore, a decrease in natural killer cells, based on DNAm, was observed in patients with untreated MDD.

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