肌痛性脑脊髓炎/慢性疲劳综合征、海湾战争综合征和纤维肌痛的脂质代谢、能量产生和氧化应激失调

IF 3.2 3区 医学 Q2 NEUROSCIENCES
Frontiers in Neuroscience Pub Date : 2025-03-10 eCollection Date: 2025-01-01 DOI:10.3389/fnins.2025.1498981
Leah Davis, Maisy Higgs, Ailsa Snaith, Tiffany A Lodge, James Strong, Jose A Espejo-Oltra, Sławomir Kujawski, Paweł Zalewski, Etheresia Pretorius, Michael Hoerger, Karl J Morten
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引用次数: 0

摘要

肌痛性脑脊髓炎/慢性疲劳综合征(ME/CFS)、海湾战争综合征(GWS)和纤维肌痛(FM)是复杂的慢性疾病,具有重叠的临床特征。据报道,这些疾病的症状包括运动后不适(PEM)、疲劳和疼痛,但这些疾病的病因在很大程度上仍然未知。由于缺乏明确的生物标志物,这些患者的诊断具有挑战性;患者必须符合临床标准,并经常进行冗长的检查以排除其他病症,这一过程往往旷日持久,费用高昂,而且对患者来说负担沉重。确定可靠的经过验证的生物标志物可以促进早期和更准确的诊断,并推动可能解决这些疾病的潜在病理生理学的靶向药物治疗的发展。生物标志物鉴定的主要推动力是代谢组学和蛋白质组学的发展,它们允许对生物标本中的代谢物和蛋白质进行全面表征。这些领域的最新技术发展使得对来自各种生物样品和模型系统的数千种代谢物和蛋白质的高通量分析成为可能,这为揭示与这些复杂疾病相关的代谢表型提供了强有力的方法。越来越多的证据表明,ME/CFS、GWS和FM都以代谢途径紊乱为特征,特别是与能量产生、脂质代谢和氧化应激相关的代谢途径。这些通路中关键代谢物水平的改变在强调潜在的常见生化异常的研究中得到了报道。ME/CFS、GWS和FM中代谢途径改变的确切机制仍有待阐明;然而,在这些疾病中观察到的氧化应激升高可能导致症状,并为治疗干预提供了潜在的目标。研究这些机制及其在疾病过程中的作用,可以为了解疾病的发病机制和揭示新的治疗靶点提供帮助。因此,全面的代谢组学和蛋白质组学分析对于促进对这些疾病的理解至关重要,以便确定共同的和独特的代谢改变,这些改变可以作为诊断标记或治疗靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dysregulation of lipid metabolism, energy production, and oxidative stress in myalgic encephalomyelitis/chronic fatigue syndrome, Gulf War Syndrome and fibromyalgia.

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), Gulf War Syndrome (GWS), and Fibromyalgia (FM) are complex, chronic illnesses with overlapping clinical features. Symptoms that are reported across these conditions include post-exertional malaise (PEM), fatigue, and pain, yet the etiology of these illnesses remains largely unknown. Diagnosis is challenging in patients with these conditions as definitive biomarkers are lacking; patients are required to meet clinical criteria and often undergo lengthy testing to exclude other conditions, a process that is often prolonged, costly, and burdensome for patients. The identification of reliable validated biomarkers could facilitate earlier and more accurate diagnosis and drive the development of targeted pharmacological therapies that might address the underlying pathophysiology of these diseases. Major driving forces for biomarker identification are the advancing fields of metabolomics and proteomics that allow for comprehensive characterization of metabolites and proteins in biological specimens. Recent technological developments in these areas enable high-throughput analysis of thousands of metabolites and proteins from a variety of biological samples and model systems, that provides a powerful approach to unraveling the metabolic phenotypes associated with these complex diseases. Emerging evidence suggests that ME/CFS, GWS, and FM are all characterized by disturbances in metabolic pathways, particularly those related to energy production, lipid metabolism, and oxidative stress. Altered levels of key metabolites in these pathways have been reported in studies highlighting potential common biochemical abnormalities. The precise mechanisms driving altered metabolic pathways in ME/CFS, GWS, and FM remain to be elucidated; however, the elevated oxidative stress observed across these illnesses may contribute to symptoms and offer a potential target for therapeutic intervention. Investigating the mechanisms, and their role in the disease process, could provide insights into disease pathogenesis and reveal novel treatment targets. As such, comprehensive metabolomic and proteomic analyses are crucial for advancing the understanding of these conditions in-order to identify both common, and unique, metabolic alterations that could serve as diagnostic markers or therapeutic targets.

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来源期刊
Frontiers in Neuroscience
Frontiers in Neuroscience NEUROSCIENCES-
CiteScore
6.20
自引率
4.70%
发文量
2070
审稿时长
14 weeks
期刊介绍: Neural Technology is devoted to the convergence between neurobiology and quantum-, nano- and micro-sciences. In our vision, this interdisciplinary approach should go beyond the technological development of sophisticated methods and should contribute in generating a genuine change in our discipline.
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