利用基因信息研究设计探索抑郁症作为 2 型糖尿病风险因素的可能性:双胞胎情绪与免疫调节研究的原理与参与者特征。

Frontiers in clinical diabetes and healthcare Pub Date : 2023-03-17 eCollection Date: 2023-01-01 DOI:10.3389/fcdhc.2023.1026402
Briana Mezuk, Kristen Kelly, Erica Bennion, Jeannie B Concha
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引用次数: 0

摘要

背景:抑郁症和 2 型糖尿病之间的合并症被认为是由心理、行为和生物过程的共同作用引起的。对单卵双生子的研究可为阐明这些过程之间的相互关系提供一个独特的机会。本文介绍了一项纵向同卵双胞胎研究的原理、特点和初步发现,该研究旨在探讨抑郁症与中年糖尿病风险之间的生物-心理-社会机制:双胞胎情绪与免疫调节(MIRT)研究的参与者是从大西洋中部双胞胎登记处招募的。MIRT由94名基线时未患糖尿病的个体组成,其中包括43对双胞胎(41对单卵双胞胎和2对双卵双胞胎)、一组单卵三胞胎和5名未参与研究的同卵双胞胎。对一系列广泛的变量进行了评估,包括心理因素(如终生重度抑郁症病史)、社会因素(如压力感知和经历)和生物因素,包括代谢风险指标(如体重指数、血压、血糖)和免疫功能(如促炎和抗炎细胞因子),以及 RNA 采集。参与者在 6 个月后接受再次评估。使用类内相关系数(ICC)和描述性比较来探讨这些心理、社会和生物因素在不同时间段和不同组内的变化:平均年龄为 53 岁,68% 为女性,77% 为白人。1/3的人有MD病史,18对兄弟姐妹的MD不一致。MD与较高的收缩压(139.1 vs. 132.2 mmHg,p=0.05)和舒张压(87.2 vs. 80.8 mmHg,p=0.002)以及IL-6(1.47 vs. 0.93 pg/mL,p=0.001)有关。MD与体重指数(BMI)、HbA1c或其他免疫指标无关。虽然同卵双胞胎的生物特征具有显著相关性,但所有的人内 ICC 均高于对内相关性(例如,HbA1c 人内 ICC=0.88 vs. 对内 ICC=0.49;IL-6 人内 ICC=0.64 vs. 对内 ICC=0.54)。在MD不一致的配对中,抑郁与代谢或免疫标记物没有实质性关联,但与压力呈正相关:结论:双生子研究有可能阐明抑郁症与糖尿病之间的生物心理社会过程,最近完成的 MIRT RNA 样本处理工作允许未来探索基因表达这一潜在机制。
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Leveraging a genetically-informative study design to explore depression as a risk factor for type 2 diabetes: Rationale and participant characteristics of the Mood and Immune Regulation in Twins Study.

Background: Comorbidity between depression and type 2 diabetes is thought to arise from the joint effects of psychological, behavioral, and biological processes. Studies of monozygotic twins may provide a unique opportunity for clarifying how these processes inter-relate. This paper describes the rationale, characteristics, and initial findings of a longitudinal co-twin study aimed at examining the biopsychosocial mechanisms linking depression and risk of diabetes in mid-life.

Methods: Participants in the Mood and Immune Regulation in Twins (MIRT) Study were recruited from the Mid-Atlantic Twin Registry. MIRT consisted of 94 individuals who do not have diabetes at baseline, representing 43 twin pairs (41 monozygotic and 2 dizygotic), one set of monozygotic triplets, and 5 individuals whose co-twin did not participate. A broad set of variables were assessed including psychological factors (e.g., lifetime history major depression (MD)); social factors (e.g., stress perceptions and experiences); and biological factors, including indicators of metabolic risk (e.g., BMI, blood pressure (BP), HbA1c) and immune functioning (e.g., pro- and anti-inflammatory cytokines), as well as collection of RNA. Participants were re-assessed 6-month later. Intra-class correlation coefficients (ICC) and descriptive comparisons were used to explore variation in these psychological, social, and biological factors across time and within pairs.

Results: Mean age was 53 years, 68% were female, and 77% identified as white. One-third had a history of MD, and 18 sibling sets were discordant for MD. MD was associated with higher systolic (139.1 vs 132.2 mmHg, p=0.05) and diastolic BP (87.2 vs. 80.8 mmHg, p=0.002) and IL-6 (1.47 vs. 0.93 pg/mL, p=0.001). MD was not associated with BMI, HbA1c, or other immune markers. While the biological characteristics of the co-twins were significantly correlated, all within-person ICCs were higher than the within-pair correlations (e.g., HbA1c within-person ICC=0.88 vs. within-pair ICC=0.49; IL-6 within-person ICC=0.64 vs. within-pair=0.54). Among the pairs discordant for MD, depression was not substantially associated with metabolic or immune markers, but was positively associated with stress.

Conclusions: Twin studies have the potential to clarify the biopsychosocial processes linking depression and diabetes, and recently completed processing of RNA samples from MIRT permits future exploration of gene expression as a potential mechanism.

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