Alterations in miR-151a-3p of plasma-derived exosomes and associated multimodal neuroimaging patterns in major depressive disorder

IF 9.6 1区 医学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Wenjia Liang, Lanwei Hou, Wenjun Wang, Bao Wang, Chenxi Sun, Yuan Zhang, Zhuoran Li, Rong Shi, Wenjuan Zhou, Yuchun Tang, Wei Wang, Lejin Yang, Shuwei Liu
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引用次数: 0

Abstract

Magnetic resonance imaging (MRI) has been recognized as a valuable tool for achieving ‘reification of clinical diagnosis’ of major depressive disorder (MDD). However, the reliability and validity of MRI results are often compromised by genetic, environmental, and clinical heterogeneity within test samples. Here, we combined MRI with other clinical findings using multimodal MRI fusion algorithm to construct a data-driven, bottom-up diagnostic approach. The covariation patterns between the multimodal MRI features and differential expression of exosomal microRNA (miRNA) were identified on a subset of 70 MDD patients and 71 healthy controls (HCs) (served as a training set) as classification features, whereas data from the other 45 MDD patients and 43 HCs served as a test set. Furthermore, longitudinal data from 28 MDD patients undergoing antidepressant treatment for six months were utilized to validate the identified biomarkers, and related signaling pathways were initially explored in depression-like mice. Plasma exosome-derived miR-151a-3p levels were found to be significantly lower in MDD patients compared to HCs and correlated with abnormal changes in functional MRI (fMRI) metrics in the anterior cingulate cortex (ACC), visual cortex, and default mode network, etc. Then, these multimodal MRI features associated with miR-151a-3p expression distinguished MDD patients from HCs with high classification accuracy of 92.05% in support vector machine (SVM) model, outperforming the diagnostic rate when only multimodal MRI features with intergroup differences were entered (70.45%). Furthermore, 10 out of 28 MDD patients exhibited a clinically significant response to the treatment (a reduction of over 50% in Hamilton Rating Scale for Depression (HAMD) score). The significant upregulation of plasma exosomal miR-151a-3p levels and changes of fMRI indicators were also observed in these 10 patients after treatment of six months. Animal experiments have shown that reducing the expression of miR-151-3p in ACC induces depression-like behaviors in mice, while elevating hsa-miR-151a-3p expression in ACC alleviates the depression-like behaviors of mice exposed to chronic unpredictable mild stress. Our study proposed an innovative diagnostic model of MDD by combining the plasma exosome-derived miR-151a-3p expression with its associated multimodal MRI patterns, potentially serving as a novel diagnostic tool.

Abstract Image

重度抑郁症患者血浆源性外泌体miR-151a-3p的改变和相关的多模态神经成像模式
磁共振成像(MRI)已被认为是实现重性抑郁症(MDD)“临床诊断具体化”的有价值的工具。然而,MRI结果的可靠性和有效性经常受到测试样本中遗传、环境和临床异质性的影响。在这里,我们使用多模态MRI融合算法将MRI与其他临床发现结合起来,构建了一种数据驱动的自下而上的诊断方法。多模态MRI特征与外泌体microRNA (miRNA)差异表达之间的协变模式在70名MDD患者和71名健康对照(hc)(作为训练集)中被确定为分类特征,而来自其他45名MDD患者和43名hc的数据作为测试集。此外,研究人员利用28名接受抗抑郁治疗6个月的重度抑郁症患者的纵向数据来验证所识别的生物标志物,并在抑郁样小鼠中初步探索相关的信号通路。与hc相比,MDD患者血浆外泌体来源的miR-151a-3p水平显著降低,并与前扣带皮层(ACC)、视觉皮层和默认模式网络等功能MRI (fMRI)指标的异常变化相关。然后,这些与miR-151a-3p表达相关的多模态MRI特征将MDD患者与hcc区分出来,支持向量机(SVM)模型的分类准确率高达92.05%,优于仅输入具有组间差异的多模态MRI特征的诊断率(70.45%)。此外,28名重度抑郁症患者中有10名对治疗表现出临床显着的反应(汉密尔顿抑郁症评定量表(HAMD)评分降低了50%以上)。治疗6个月后,10例患者血浆外泌体miR-151a-3p水平均显著上调,fMRI指标也有明显变化。动物实验表明,降低ACC中miR-151-3p的表达可诱导小鼠的抑郁样行为,而提高ACC中hsa-miR-151a-3p的表达可减轻慢性不可预测轻度应激小鼠的抑郁样行为。我们的研究通过将血浆外泌体衍生的miR-151a-3p表达与其相关的多模态MRI模式相结合,提出了一种创新的MDD诊断模型,可能作为一种新的诊断工具。
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来源期刊
Molecular Psychiatry
Molecular Psychiatry 医学-精神病学
CiteScore
20.50
自引率
4.50%
发文量
459
审稿时长
4-8 weeks
期刊介绍: Molecular Psychiatry focuses on publishing research that aims to uncover the biological mechanisms behind psychiatric disorders and their treatment. The journal emphasizes studies that bridge pre-clinical and clinical research, covering cellular, molecular, integrative, clinical, imaging, and psychopharmacology levels.
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