PDF(Pubmed)
Abstract：
UNASSIGNED: Long COVID, or post-acute sequelae of SARS-CoV-2 infection (PASC), manifests as persistent and often debilitating symptoms enduring well beyond the initial COVID-19 infection. This disease is especially worrying in children since it can seriously alter their development. Presently, a specific diagnostic test or definitive biomarker set for confirming long COVID is lacking, relying instead on the protracted presence of symptoms post-acute infection.
UNASSIGNED: We measured the levels of 13 biomarkers in 105 saliva samples (49 from children with long COVID and 56 controls), and the Pearson correlation coefficient was used to analyse the correlations between the levels of the different salivary biomarkers. Multivariate logistic regression analyses were performed to determine which of the 13 analysed salivary biomarkers were useful to discriminate between children with long COVID and controls, as well as between children with mild and severe long COVID symptoms.
UNASSIGNED: Pediatric long COVID exhibited increased oxidant biomarkers and decreased antioxidant, immune response, and stress-related biomarkers. Correlation analyses unveiled distinct patterns between biomarkers in long COVID and controls. Notably, a multivariate logistic regression pinpointed TOS, ADA2, total proteins, and AOPP as pivotal variables, culminating in a remarkably accurate predictive model distinguishing long COVID from controls. Furthermore, total proteins and ADA1 were instrumental in discerning between mild and severe long COVID symptoms.
UNASSIGNED: This research sheds light on the potential clinical utility of salivary biomarkers in diagnosing and categorizing the severity of pediatric long COVID. It also lays the groundwork for future investigations aimed at unravelling the prognostic value of these biomarkers in predicting the trajectory of long COVID in affected individuals.
UNASSIGNED: We measured the levels of 13 biomarkers in 105 saliva samples (49 from children with long COVID and 56 controls), and the Pearson correlation coefficient was used to analyse the correlations between the levels of the different salivary biomarkers. Multivariate logistic regression analyses were performed to determine which of the 13 analysed salivary biomarkers were useful to discriminate between children with long COVID and controls, as well as between children with mild and severe long COVID symptoms.
UNASSIGNED: Pediatric long COVID exhibited increased oxidant biomarkers and decreased antioxidant, immune response, and stress-related biomarkers. Correlation analyses unveiled distinct patterns between biomarkers in long COVID and controls. Notably, a multivariate logistic regression pinpointed TOS, ADA2, total proteins, and AOPP as pivotal variables, culminating in a remarkably accurate predictive model distinguishing long COVID from controls. Furthermore, total proteins and ADA1 were instrumental in discerning between mild and severe long COVID symptoms.
UNASSIGNED: This research sheds light on the potential clinical utility of salivary biomarkers in diagnosing and categorizing the severity of pediatric long COVID. It also lays the groundwork for future investigations aimed at unravelling the prognostic value of these biomarkers in predicting the trajectory of long COVID in affected individuals.
摘要：
■长型COVID，或SARS-CoV-2感染（PASC）的急性后遗症，表现为持续且经常使人衰弱的症状，其持续时间远远超出了最初的COVID-19感染。这种疾病在儿童中尤其令人担忧，因为它可以严重改变他们的发育。目前,缺乏用于确认长期COVID的特定诊断测试或明确的生物标志物，相反，依赖于急性感染后症状的长期存在。
■我们测量了105份唾液样本中13种生物标志物的水平（49份来自患有长期COVID的儿童和56份对照），Pearson相关系数用于分析不同唾液生物标志物水平之间的相关性。进行了多变量逻辑回归分析，以确定所分析的13种唾液生物标志物中哪一种对区分长COVID儿童和对照组有用，以及具有轻度和重度长COVID症状的儿童之间。
■小儿长COVID表现出增加的氧化剂生物标志物和减少的抗氧化剂，免疫反应，和压力相关的生物标志物。相关分析揭示了长COVID和对照中生物标志物之间的不同模式。值得注意的是,多元逻辑回归确定了TOS，ADA2，总蛋白，和AOPP作为关键变量，最终形成了一个非常准确的预测模型，将长型COVID与对照区分开来。此外，总蛋白和ADA1有助于辨别轻度和重度长型COVID症状。
■这项研究揭示了唾液生物标志物在诊断和分类小儿长型COVID严重程度方面的潜在临床应用。这也为未来研究奠定了基础，这些研究旨在揭示这些生物标志物在预测受影响个体中长COVID轨迹方面的预后价值。
■我们测量了105份唾液样本中13种生物标志物的水平（49份来自患有长期COVID的儿童和56份对照），Pearson相关系数用于分析不同唾液生物标志物水平之间的相关性。进行了多变量逻辑回归分析，以确定所分析的13种唾液生物标志物中哪一种对区分长COVID儿童和对照组有用，以及具有轻度和重度长COVID症状的儿童之间。
■小儿长COVID表现出增加的氧化剂生物标志物和减少的抗氧化剂，免疫反应，和压力相关的生物标志物。相关分析揭示了长COVID和对照中生物标志物之间的不同模式。值得注意的是,多元逻辑回归确定了TOS，ADA2，总蛋白，和AOPP作为关键变量，最终形成了一个非常准确的预测模型，将长型COVID与对照区分开来。此外，总蛋白和ADA1有助于辨别轻度和重度长型COVID症状。
■这项研究揭示了唾液生物标志物在诊断和分类小儿长型COVID严重程度方面的潜在临床应用。这也为未来研究奠定了基础，这些研究旨在揭示这些生物标志物在预测受影响个体中长COVID轨迹方面的预后价值。
