Untargeted metabolomic, and proteomic analysis identifies metabolic biomarkers and pathway alterations in individuals with 22q11.2 deletion syndrome.

IF 3.5 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM Metabolomics Pub Date : 2024-02-28 DOI:10.1007/s11306-024-02088-0
Marwa Zafarullah, Kathleen Angkustsiri, Austin Quach, Seungjun Yeo, Blythe P Durbin-Johnson, Heather Bowling, Flora Tassone
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Abstract

Introduction: The chromosome 22q11.2 deletion syndrome (22q11.2DS) is characterized by a well-defined microdeletion and is associated with a wide range of brain-related phenotypes including schizophrenia spectrum disorders (SCZ), autism spectrum disorders (ASD), anxiety disorders and attention deficit disorders (ADHD). The typically deleted region in 22q11.2DS contains multiple genes which haploinsufficiency has the potential of altering the protein and the metabolic profiles.

Objectives: Alteration in metabolic processes and downstream protein pathways during the early brain development may help to explain the increased prevalence of the observed neurodevelopmental phenotypes in 22q11.2DS. However, relatively little is known about the correlation of dysregulated protein/metabolite expression and neurobehavioral impairments in individuals who developed them over time.

Methods: In this study, we performed untargeted metabolic and proteomic analysis in plasma samples derived from 30 subjects including 16 participants with 22q11.2DS and 14 healthy controls (TD) enrolled in a longitudinal study, aiming to identify a metabolic and protein signature informing about the underlying mechanisms involved in disease development and progression. The metabolic and proteomic profiles were also compared between the participants with 22q11.2DS with and without various comorbidities, such as medical involvement, psychiatric conditions, and autism spectrum disorder (ASD) to detect potential changes among multiple specimens, collected overtime, with the aim to understand the basic underlying mechanisms involved in disease development and progression.

Results: We observed a large number of statistically significant differences in metabolites between the two groups. Among them, the levels of taurine and arachidonic acid were significantly lower in 22q11.2DS compared to the TD group. In addition, we identified 16 proteins that showed significant changes in expression levels (adjusted P < 0.05) in 22q11.2DS as compared to TD, including those involved in 70 pathways such as gene expression, the PI3K-Akt signaling pathway and the complement system. Within participants with 22q11.2DS, no significant changes in those with and without medical or psychiatric conditions were observed.

Conclusion: To our knowledge, this is the first report on plasma metabolic and proteomic profiling and on the identification of unique biomarkers in 22q11.2DS. These findings may suggest the potential role of the identified metabolites and proteins as biomarkers for the onset of comorbid conditions in 22q11.2DS. Ultimately, the altered protein pathways in 22q11.2DS may provide insights of the biological mechanisms underlying the neurodevelopmental phenotype and may provide missing molecular outcome measures in future clinical trials to assess early-diagnosis treatment and the efficacy of response to targeted treatment.

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非靶向代谢组学和蛋白质组学分析确定了 22q11.2 缺失综合征患者的代谢生物标志物和通路改变。
导言:染色体22q11.2缺失综合征(22q11.2DS)的特征是定义明确的微缺失,与多种脑相关表型有关,包括精神分裂症谱系障碍(SCZ)、自闭症谱系障碍(ASD)、焦虑症和注意力缺陷障碍(ADHD)。22q11.2DS 的典型缺失区包含多个基因,单倍体缺乏可能会改变蛋白质和代谢特征:目的:早期大脑发育过程中代谢过程和下游蛋白通路的改变可能有助于解释 22q11.2DS 中观察到的神经发育表型发生率增加的原因。然而,人们对蛋白/代谢物表达失调与神经行为障碍之间的相关性知之甚少:在这项研究中,我们对 30 名受试者的血浆样本进行了非靶向代谢和蛋白质组分析,其中包括 16 名 22q11.2DS 患者和 14 名参加纵向研究的健康对照者(TD),目的是确定代谢和蛋白质特征,以了解疾病发生和发展的潜在机制。我们还比较了22q11.2DS患者有无各种并发症(如医疗参与、精神状况和自闭症谱系障碍(ASD))的代谢和蛋白质组特征,以检测多个标本之间的潜在变化,这些标本是长期收集的,目的是了解疾病发生和发展的基本机制:结果:我们观察到两组之间的代谢物存在大量具有统计学意义的差异。其中,22q11.2DS组的牛磺酸和花生四烯酸水平明显低于TD组。此外,我们还发现有 16 种蛋白质的表达水平出现了显著变化(调整后的 P 结论):据我们所知,这是第一份关于血浆代谢和蛋白质组分析以及 22q11.2DS 中独特生物标志物鉴定的报告。这些发现可能表明,已鉴定的代谢物和蛋白质可作为 22q11.2DS 中合并症发病的生物标志物。最终,22q11.2DS 中蛋白质通路的改变可能会让人们了解神经发育表型的生物学机制,并可能为未来的临床试验提供缺失的分子结果测量,以评估早期诊断治疗和靶向治疗的疗效。
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来源期刊
Metabolomics
Metabolomics 医学-内分泌学与代谢
CiteScore
6.60
自引率
2.80%
发文量
84
审稿时长
2 months
期刊介绍: Metabolomics publishes current research regarding the development of technology platforms for metabolomics. This includes, but is not limited to: metabolomic applications within man, including pre-clinical and clinical pharmacometabolomics for precision medicine metabolic profiling and fingerprinting metabolite target analysis metabolomic applications within animals, plants and microbes transcriptomics and proteomics in systems biology Metabolomics is an indispensable platform for researchers using new post-genomics approaches, to discover networks and interactions between metabolites, pharmaceuticals, SNPs, proteins and more. Its articles go beyond the genome and metabolome, by including original clinical study material together with big data from new emerging technologies.
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