Department of Clinical Biochemistry and Diagnostics, University Hospital Hradec Králové, Hradec Králové, Czech Republic.
Department of Analytical Chemistry, Faculty of Pharmacy in Hradec Králové, Charles University, Hradec Králové, Czech Republic.
Clin Chem Lab Med. 2023 Jun 9;61(11):2053-2064. doi: 10.1515/cclm-2023-0381. Print 2023 Oct 26.
Currently, no biomarker or scoring system could clearly identify patients at risk of progression to a severe coronavirus disease (COVID)-19. Even in patients with known risk factors, the fulminant course cannot be predicted with certainty. Analysis of commonly determined clinical parameters (frailty score, age, or body mass index) together with routine biomarkers of host response (C-reactive protein and viral nucleocapsid protein) in combination with new biomarkers neopterin, kynurenine, and tryptophan, could aid in predicting the patient outcome.
In 2021 and 2022, urine and serum samples were prospectively collected on 1st to 4th day after hospital admission in 108 consecutive COVID-19 patients hospitalized at the University Hospital Hradec Králové, Czech Republic. Delta and omicron virus variants were studied. Neopterin, kynurenine and tryptophan were determined by liquid chromatography.
A significant correlation was observed between urinary and serum biomarker concentrations. Urinary and serum neopterin, kynurenine and kynurenine/tryptophan ratio were significantly (p≤0.05) higher in patients who subsequently needed oxygen therapy vs. patients without oxygen therapy. These parameters were also significantly increased in patients who died during the hospitalization compared to survivors. Complex equations have been derived using the investigated biomarkers and other clinical or laboratory parameters to predict the risk of subsequent oxygen therapy or death during hospitalization.
Present data demonstrate that neopterin, kynurenine and kynurenine/tryptophan ratio in the serum or in the urine represent promising biomarkers in the management of COVID-19 that may help to guide important therapeutic decisions.
目前,尚无生物标志物或评分系统能够明确识别有进展为严重冠状病毒病(COVID-19)风险的患者。即使在已知有风险因素的患者中,也不能肯定地预测暴发性病程。对通常确定的临床参数(虚弱评分、年龄或体重指数)进行分析,结合宿主反应的常规生物标志物(C 反应蛋白和病毒核衣壳蛋白),并结合新的生物标志物新蝶呤、犬尿氨酸和色氨酸,可能有助于预测患者的结局。
在 2021 年和 2022 年,在捷克共和国赫拉德茨-克拉洛韦大学医院住院的 108 例连续 COVID-19 患者入院后第 1 至第 4 天,前瞻性地收集尿液和血清样本。研究了德尔塔和奥密克戎病毒变体。通过液相色谱法测定新蝶呤、犬尿氨酸和色氨酸。
观察到尿液和血清生物标志物浓度之间存在显著相关性。与未接受氧疗的患者相比,随后需要氧疗的患者的尿和血清新蝶呤、犬尿氨酸和犬尿氨酸/色氨酸比值显著(p≤0.05)更高。与幸存者相比,住院期间死亡的患者这些参数也显著增加。使用所研究的生物标志物和其他临床或实验室参数导出了预测随后氧疗或住院期间死亡风险的复杂方程。
目前的数据表明,血清或尿液中的新蝶呤、犬尿氨酸和犬尿氨酸/色氨酸比值是 COVID-19 管理中很有前途的生物标志物,可能有助于指导重要的治疗决策。