Diabetes Research Center (DRC), Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar.
Academic Endocrinology, Diabetes and Metabolism, Hull York Medical School, Hull, United Kingdom.
Front Endocrinol (Lausanne). 2021 Jun 25;12:658304. doi: 10.3389/fendo.2021.658304. eCollection 2021.
Detailed proteomic analysis in a cohort of patients with differing severity of COVID-19 disease identified biomarkers within the complement and coagulation cascades as biomarkers for disease severity has been reported; however, it is unclear if these proteins differ sufficiently from other conditions to be considered as biomarkers.
A prospective, parallel study in T2D (n = 23) and controls (n = 23). A hyperinsulinemic clamp was performed and normoglycemia induced in T2D [4.5 ± 0.07 mmol/L (81 ± 1.2 mg/dl)] for 1-h, following which blood glucose was decreased to ≤2.0 mmol/L (36 mg/dl). Proteomic analysis for the complement and coagulation cascades were measured using Slow Off-rate Modified Aptamer (SOMA)-scan.
Thirty-four proteins were measured. At baseline, 4 of 18 were found to differ in T2D controls for platelet degranulation [Neutrophil-activating peptide-2 (p = 0.014), Thrombospondin-1 (p = 0.012), Platelet factor-4 (p = 0.007), and Kininogen-1 (p = 0.05)], whilst 3 of 16 proteins differed for complement and coagulation cascades [Coagulation factor IX (p < 0.05), Kininogen-1 (p = 0.05), and Heparin cofactor-2 (p = 0.007)]; STRING analysis demonstrated the close relationship of these proteins to one another. Induced euglycemia in T2D showed no protein changes baseline. At hypoglycemia, however, four proteins changed in controls from baseline [Thrombospondin-1 (p < 0.014), platelet factor-4 (p < 0.01), Platelet basic protein (p < 0.008), and Vitamin K-dependent protein-C (p < 0.00003)], and one protein changed in T2D [Vitamin K-dependent protein-C, (p < 0.0002)].
Seven of 34 proteins suggested to be biomarkers of COVID-19 severity within the platelet degranulation and complement and coagulation cascades differed in T2D controls, with further changes occurring at hypoglycemia, suggesting that validation of these biomarkers is critical. It is unclear if these protein changes in T2D may predict worse COVID-19 disease for these patients.
https://clinicaltrials.gov/, identifier NCT03102801.
在一组 COVID-19 疾病严重程度不同的患者中进行详细的蛋白质组学分析,已经报道了补体和凝血级联中的生物标志物可作为疾病严重程度的生物标志物;然而,这些蛋白质是否与其他疾病有足够的差异,足以被认为是生物标志物尚不清楚。
在 T2D(n=23)和对照组(n=23)中进行前瞻性、平行研究。在 T2D 中进行高胰岛素血症钳夹,诱导正常血糖[4.5±0.07mmol/L(81±1.2mg/dl)]持续 1 小时,随后将血糖降低至≤2.0mmol/L(36mg/dl)。使用慢释放修饰适体(SOMA)-扫描测量补体和凝血级联的蛋白质组学分析。
测量了 34 种蛋白质。在基线时,发现 18 种中有 4 种在 T2D 对照组中存在血小板脱颗粒差异[中性粒细胞激活肽-2(p=0.014)、血小板反应蛋白-1(p=0.012)、血小板因子-4(p=0.007)和激肽原-1(p=0.05)],而 16 种蛋白质中有 3 种在补体和凝血级联中存在差异[凝血因子 IX(p<0.05)、激肽原-1(p=0.05)和肝素辅因子-2(p=0.007)];STRING 分析表明这些蛋白质彼此之间存在密切关系。在 T2D 中诱导正常血糖时,与基线相比,没有蛋白质发生变化。然而,在低血糖时,对照组中有 4 种蛋白质发生变化[血小板反应蛋白-1(p<0.014)、血小板因子-4(p<0.01)、血小板碱性蛋白(p<0.008)和维生素 K 依赖蛋白-C(p<0.00003)],T2D 中有 1 种蛋白质发生变化[维生素 K 依赖蛋白-C(p<0.0002)]。
在血小板脱颗粒和补体及凝血级联中,有 7 种被认为是 COVID-19 严重程度的生物标志物的蛋白质在 T2D 对照组中有所不同,在低血糖时进一步发生变化,这表明对这些生物标志物的验证至关重要。尚不清楚 T2D 中这些蛋白质的变化是否预示着这些患者 COVID-19 疾病更严重。
https://clinicaltrials.gov/,标识符 NCT03102801。