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系统性炎症、氧化损伤和神经认知可预测按全球 DNA 甲基化水平分层的跨诊断样本中的端粒长度。

Systemic inflammation, oxidative damage and neurocognition predict telomere length in a transdiagnostic sample stratified by global DNA methylation levels.

机构信息

INCLIVA - Health Research Institute, Valencia, Spain.

TMAP - Evaluation Unit in Personal Autonomy, Dependency and Serious Mental Disorders, University of Valencia, Valencia, Spain.

出版信息

Sci Rep. 2024 Jun 7;14(1):13159. doi: 10.1038/s41598-024-62980-6.

Abstract

Epigenetic mechanisms contribute to the maintenance of both type 2 diabetes mellitus (T2DM) and psychiatric disorders. Emerging evidence suggests that molecular pathways and neurocognitive performance regulate epigenetic dynamics in these disorders. The current combined and transdiagnostic study investigated whether inflammatory, oxidative stress, adhesion molecule, neurocognitive and functional performance are significant predictors of telomere dynamics in a sample stratified by global DNA methylation levels. Peripheral blood inflammation, oxidative stress and adhesion molecule biomarkers and neurocognitive function were assessed twice over a 1-year period in 80 individuals, including 16 with schizophrenia (SZ), 16 with bipolar disorder (BD), 16 with major depressive disorder (MDD), 15 with T2DM, and 17 healthy controls (HCs). Leukocyte telomere length (LTL) was measured by qRT-PCR using deoxyribonucleic acid (DNA) extracted from peripheral blood samples. A posteriori, individuals were classified based on their global methylation score (GMS) at baseline into two groups: the below-average methylation (BM) and above-average methylation (AM) groups. Hierarchical and k-means clustering methods, mixed one-way analysis of variance and linear regression analyses were performed. Overall, the BM group showed a significantly higher leukocyte telomere length (LTL) than the AM group at both time points (p = 0.02; ηp = 0.06). Moreover, the BM group had significantly lower levels of tumor necrosis factor alpha (TNF-α) (p = 0.03; ηp = 0.06) and C-reactive protein (CRP) (p = 0.03; ηp = 0.06) than the AM group at the 1-year follow-up. Across all participants, the regression models showed that oxidative stress (reactive oxygen species [ROS]) (p = 0.04) and global cognitive score [GCS] (p = 0.02) were significantly negatively associated with LTL, whereas inflammatory (TNF-α) (p = 0.04), adhesion molecule biomarkers (inter cellular adhesion molecule [ICAM]) (p = 0.009), and intelligence quotient [IQ] (p = 0.03) were significantly positively associated with LTL. Moreover, the model predictive power was increased when tested in both groups separately, explaining 15.8% and 28.1% of the LTL variance at the 1-year follow-up for the AM and BM groups, respectively. Heterogeneous DNA methylation in individuals with T2DM and severe mental disorders seems to support the hypothesis that epigenetic dysregulation occurs in a transdiagnostic manner. Our results may help to elucidate the interplay between epigenetics, molecular processes and neurocognitive function in these disorders. DNA methylation and LTL are potential therapeutic targets for transdiagnostic interventions to decrease the risk of comorbidities.

摘要

表观遗传机制有助于维持 2 型糖尿病(T2DM)和精神疾病。新出现的证据表明,分子途径和神经认知表现调节这些疾病中的表观遗传动态。目前的联合和跨诊断研究调查了在按全基因组甲基化水平分层的样本中,炎症、氧化应激、黏附分子、神经认知和功能表现是否是端粒动力学的重要预测因子。在 1 年的时间里,对 80 名个体进行了两次外周血炎症、氧化应激和黏附分子生物标志物以及神经认知功能评估,其中包括 16 名精神分裂症(SZ)患者、16 名双相情感障碍(BD)患者、16 名重度抑郁症(MDD)患者、15 名 T2DM 患者和 17 名健康对照者(HCs)。通过使用从外周血样本中提取的脱氧核糖核酸(DNA),通过 qRT-PCR 测量白细胞端粒长度(LTL)。事后,根据基线时的全基因组甲基化评分(GMS)将个体分为两组:低于平均甲基化(BM)和高于平均甲基化(AM)组。进行了层次聚类和 K-均值聚类方法、混合单向方差分析和线性回归分析。总体而言,BM 组在两个时间点的白细胞端粒长度(LTL)均显著高于 AM 组(p=0.02;ηp=0.06)。此外,BM 组在 1 年随访时的肿瘤坏死因子-α(TNF-α)(p=0.03;ηp=0.06)和 C 反应蛋白(CRP)(p=0.03;ηp=0.06)水平显著低于 AM 组。在所有参与者中,回归模型显示氧化应激(活性氧物种[ROS])(p=0.04)和全球认知评分[GCS](p=0.02)与 LTL 呈显著负相关,而炎症(TNF-α)(p=0.04)、黏附分子生物标志物(细胞间黏附分子[ICAM])(p=0.009)和智商[IQ](p=0.03)与 LTL 呈显著正相关。此外,当分别在两组中进行测试时,模型预测能力增加,分别解释了 AM 和 BM 组在 1 年随访时 LTL 变异的 15.8%和 28.1%。T2DM 和严重精神障碍患者中异质 DNA 甲基化似乎支持表观遗传失调以跨诊断方式发生的假设。我们的研究结果可能有助于阐明这些疾病中表观遗传学、分子过程和神经认知功能之间的相互作用。DNA 甲基化和 LTL 是减少共病风险的跨诊断干预的潜在治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f1d/11161596/0c9929596b28/41598_2024_62980_Fig1_HTML.jpg

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