Rovas Alexandros, Neumann Julia Katharina, Drost Carolin Christina, Vollenberg Richard, Thölking Gerold, Fobker Manfred, Witzenrath Martin, Kümpers Philipp
Department of Medicine D, Division of General Internal and Emergency Medicine, Nephrology, and Rheumatology, University Hospital Muenster, 48149 Muenster, Germany.
Department of Medicine B, Division of Gastroenterology, Hepatology, Endocrinology and Infectiology, University Hospital Münster, 48149 Muenster, Germany.
J Clin Med. 2023 Aug 13;12(16):5269. doi: 10.3390/jcm12165269.
Although coronavirus disease 2019 (COVID-19) is considered a systemic disease associated with vascular inflammation and eventual destruction of the protective endothelial glycocalyx (eGC), biomarkers of eGC damage are not yet available in the clinic. The most prominent components of eGC are sulphated glycosaminoglycans (sGAGs) attached to core proteoglycans. We hypothesised that the amount of sGAG fragments shed in urine (as a surrogate for systemic eGC damage) would correlate with disease severity and outcome. Total urinary sGAG concentration was measured using an in-house optimised 1,9-dimethylmethylene blue (DMMB) assay, which is highly accurate and insensitive to interferences. The median urinary sGAG concentration was significantly higher in 67 hospitalised patients with COVID-19 compared to 72 hospitalised patients with community-acquired pneumonia (CAP). In both groups, urinary sGAG concentrations predicted a combined endpoint (including intubation and death) with an area under the receiver operator characteristic curve of 0.72 (95% CI 0.55-0.88, = 0.01) and 0.70 (95% CI 0.57-0.83, = 0.007), respectively. In conclusion, the inexpensive and easy-to-perform DMMB assay provides a surrogate parameter for eGC damage that may be useful for risk stratification of patients with COVID-19 and CAP.
尽管2019冠状病毒病(COVID-19)被认为是一种与血管炎症以及保护性内皮糖萼(eGC)最终破坏相关的全身性疾病,但临床上尚无eGC损伤的生物标志物。eGC最主要的成分是附着于核心蛋白聚糖的硫酸化糖胺聚糖(sGAGs)。我们推测,尿中脱落的sGAG片段量(作为全身性eGC损伤的替代指标)将与疾病严重程度和预后相关。使用内部优化的1,9-二甲基亚甲基蓝(DMMB)测定法测量尿中sGAG的总浓度,该方法高度准确且对干扰不敏感。67例住院COVID-19患者的尿sGAG浓度中位数显著高于72例住院社区获得性肺炎(CAP)患者。在两组中,尿sGAG浓度预测联合终点(包括插管和死亡)时,受试者操作特征曲线下面积分别为0.72(95%CI 0.55-0.88,P = 0.01)和0.70(95%CI 0.57-0.83,P = 0.007)。总之,廉价且易于操作的DMMB测定法提供了一个eGC损伤的替代参数,可能有助于对COVID-19和CAP患者进行风险分层。