The influence of comorbid diseases on the profiles of signaling biomarkers (macrophage-derived chemokine, interferon-γ-induced protein 10 kD, soluble CD40 ligand, vascular endothelial growth factor) and severity in patients with COVID-19: clinical studies

A. Anisenkova, V. I. Mazurov, S. Apalko, O. Popov, N. Sushentseva, Olga P. Mamaeva, S. V. Mosenko, A. Sarana, Sergey G. Shcherbak
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Abstract

BACKGROUND: Analysis of the effect of comorbid diseases on the concentration of biomarkers will help to deepen the understanding of the pathogenetic mechanisms of the impact of comorbid diseases on the course of COVID-19 and adjust prognostic models for its therapy. AIM: To study the impact of comorbid diseases on the severity and outcomes of COVID-19. In addition, an analysis of the levels of macrophage-derived chemokine, interferon-γ-induced protein 10 kD, soluble CD40 ligand, vascular endothelial growth factor has been carried out in 472 patients with COVID-19, depending on the presence of various forms of comorbid pathology. MATERIALS AND METHODS: To study the concentration of biomarkers an analysis has been conducted in a group of 1648 patients with confirmed COVID-19. The study assessed intergroup differences (disease outcome/severity of disease) in the general group (1648 patients) and in the group of patients without comorbidity (343 patients) — Charlson index less than 2 points. 472 medical histories of patients with COVID-19 have been analyzed, including with certain concentrations of the studied biomarkers and comorbid pathology included in the Charlson Index. For comparison, two samples have been formed: an experimental group consisting of patients with COVID-19 and the presence of a certain comorbid disease and a control group consisting of patients suffering from COVID-19 without a specified comorbid disease. RESULTS: For the first time, data has been obtained indicating that patients with COVID-19 have comorbid conditions with the levels of the studied biomarkers differing significantly from the indicators of the control group. Thus, in patients with arterial hypertension (I10–I15 according to the International Classification of Diseases, 10th revision), chronic heart failure (I50.0), diseases of the vascular system (I70–I79), cerebrovascular diseases (I60–I69), chronic kidney disease (N17–N19), the level of the macrophage-derived chemokine biomarker was significantly lower than in the patients without these diseases. At the same time, in the COVID-19 patients with respiratory diseases (J40–J47), the levels of interferon-γ-induced protein 10 kD and vascular endothelial growth factor were significantly lower than in the patients who did not have lung diseases. CONCLUSIONS: The study findings obtained have confirmed the role of signaling biomarkers in the development of severe forms and death in patients with COVID-19. Significant influence of comorbid pathology on the course of the new coronavirus infection has been shown.
合并症对 COVID-19 患者信号生物标志物(巨噬细胞衍生趋化因子、干扰素-γ 诱导的 10 kD 蛋白、可溶性 CD40 配体、血管内皮生长因子)和严重程度的影响:临床研究
背景:分析合并疾病对生物标志物浓度的影响有助于加深理解合并疾病对 COVID-19 病程影响的发病机制,并调整其治疗的预后模型。目的:研究合并症对COVID-19严重程度和预后的影响。此外,还对 472 例 COVID-19 患者的巨噬细胞衍生趋化因子、γ-干扰素诱导的 10 kD 蛋白、可溶性 CD40 配体、血管内皮生长因子的水平进行了分析,这取决于是否存在各种形式的合并病症。材料与方法:为了研究生物标志物的浓度,对 1648 名确诊为 COVID-19 的患者进行了分析。该研究评估了普通组(1648 名患者)和无合并症患者组(343 名患者)(Charlson 指数小于 2 点)的组间差异(疾病结果/疾病严重程度)。对 472 名 COVID-19 患者的病史进行了分析,其中包括所研究的生物标志物的某些浓度和夏尔森指数中包含的合并病症。为了进行比较,还组成了两个样本:一个实验组由患有 COVID-19 并存在某种合并症的患者组成,另一个对照组由没有特定合并症的 COVID-19 患者组成。结果:首次获得的数据表明,COVID-19 患者患有合并症,所研究的生物标志物水平与对照组的指标有显著差异。因此,在患有动脉高血压(根据国际疾病分类第 10 次修订版,I10-I15)、慢性心力衰竭(I50.0)、血管系统疾病(I70-I79)、脑血管疾病(I60-I69)、慢性肾脏疾病(N17-N19)的患者中,巨噬细胞衍生趋化因子生物标志物的水平明显低于没有这些疾病的患者。同时,在 COVID-19 呼吸系统疾病患者(J40-J47)中,干扰素-γ诱导蛋白 10 kD 和血管内皮生长因子的水平明显低于没有肺部疾病的患者。结论:研究结果证实了信号生物标志物在 COVID-19 患者的重症发展和死亡中的作用。合并病症对新型冠状病毒感染病程的影响显著。
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