Urine Metabolite Analysis to Identify Pathomechanisms of Long COVID: A Pilot Study.

IF 2.7 Q3 NEUROSCIENCES International Journal of Tryptophan Research Pub Date : 2023-12-22 eCollection Date: 2023-01-01 DOI:10.1177/11786469231220781
Maja Taenzer, Judith Löffler-Ragg, Andrea Schroll, Pablo Monfort-Lanzas, Sabine Engl, Günter Weiss, Natascha Brigo, Katharina Kurz
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Abstract

Background: Around 10% of people who had COVID-9 infection suffer from persistent symptoms such as fatigue, dyspnoea, chest pain, arthralgia/myalgia, sleep disturbances, cognitive dysfunction and impairment of mental health. Different underlying pathomechanisms appear to be involved, in particular inflammation, alterations in amino acid metabolism, autonomic dysfunction and gut dysbiosis.

Aim: As routine tests are often inconspicuous in patients with Long COVID (LC), similarly to patients suffering from myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), accessible biomarkers indicating dysregulation of specific pathways are urgently needed to identify underlying pathomechanisms and enable personalized medicine treatment. Within this pilot study we aimed to proof traceability of altered metabolism by urine analysis.

Patients and methods: Urine metabolome analyses were performed to investigate the metabolic signature of patients with LC (n = 25; 20 women, 5 men) in comparison to healthy controls (Ctrl, n = 8; 7 women, 1 man) and individuals with ME/CFS (n = 8; 2 women, 6 men). Concentrations of neurotransmitter precursors tryptophan, phenylalanine and their downstream metabolites, as well as their association with symptoms (fatigue, anxiety and depression) in the patients were examined.

Results and conclusion: Phenylalanine levels were significantly lower in both the LC and ME/CFS patient groups when compared to the Ctrl group. In many LC patients, the concentrations of downstream metabolites of tryptophan and tyrosine, such as serotonin, dopamine and catecholamines, deviated from the reference ranges. Several symptoms (sleep disturbance, pain or autonomic dysfunction) were associated with certain metabolites. Patients experiencing fatigue had lower levels of kynurenine, phenylalanine and a reduced kynurenine to tryptophan ratio (Kyn/Trp). Lower concentrations of gamma-aminobutyric acid (GABA) and higher activity of kynurenine 3-monooxygenase (KMO) were observed in patients with anxiety. Conclusively, our results suggest that amino acid metabolism and neurotransmitter synthesis is disturbed in patients with LC and ME/CFS. The identified metabolites and their associated dysregulations could serve as potential biomarkers for elucidating underlying pathomechanisms thus enabling personalized treatment strategies for these patient populations.

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通过尿液代谢物分析确定长 COVID 的病理机制:一项试点研究。
背景:约有 10% 的 COVID-9 感染者会出现持续性症状,如疲劳、呼吸困难、胸痛、关节痛/肌痛、睡眠障碍、认知功能障碍和精神健康受损。目的:由于长COVID(Long COVID)患者的常规检查通常并不明显,这与肌痛性脑脊髓炎/慢性疲劳综合征(ME/CFS)患者的情况类似,因此迫切需要能表明特定途径失调的生物标志物,以确定潜在的病理机制,实现个性化医学治疗。在这项试验性研究中,我们旨在通过尿液分析证明代谢改变的可追溯性:我们对 LC 患者(n = 25;20 名女性,5 名男性)与健康对照组(Ctrl,n = 8;7 名女性,1 名男性)和 ME/CFS 患者(n = 8;2 名女性,6 名男性)进行了尿液代谢组分析,以研究他们的代谢特征。研究人员检测了神经递质前体色氨酸、苯丙氨酸及其下游代谢物的浓度,以及它们与患者症状(疲劳、焦虑和抑郁)之间的关系:与对照组相比,低血钙症和 ME/CFS 患者组的苯丙氨酸水平明显较低。在许多 LC 患者中,色氨酸和酪氨酸的下游代谢产物(如血清素、多巴胺和儿茶酚胺)的浓度偏离了参考范围。一些症状(睡眠障碍、疼痛或自主神经功能障碍)与某些代谢物有关。疲劳患者的犬尿氨酸、苯丙氨酸水平较低,犬尿氨酸与色氨酸的比率(Kyn/Trp)也有所降低。焦虑症患者的γ-氨基丁酸(GABA)浓度较低,而犬尿氨酸 3-单氧化酶(KMO)的活性较高。总之,我们的研究结果表明,LC 和 ME/CFS 患者的氨基酸代谢和神经递质合成受到干扰。已确定的代谢物及其相关失调可作为潜在的生物标记物,用于阐明潜在的病理机制,从而为这些患者群体制定个性化的治疗策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.30
自引率
4.50%
发文量
19
审稿时长
8 weeks
期刊最新文献
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