Adnan Haşimi, Özlem Doğan, Ceyhan Ceran Serdar, Muhittin A Serdar
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Moreover, the concentrations of some of the routine clinical laboratory parameters -neutrophil lymphocyte ratio (NLR), C-reactive protein, ferritin, D-dimer, and fibrinogen measured during COVID-19 follow-up were also taken into consideration and compared with the concentrations of arginine and methylated arginine products.</p><p><strong>Results: </strong>Serum ADMA, SDMA and L-NMMA were found to be significantly higher in severe COVID-19 patients, than in both mild-moderate patients and the control group (P < 0.001 for each). In addition, multiple logistic regression analysis indicated L-NMMA (cut-off =120 nmol/L OR = 34, 95% confidence interval (CI) = 3.5-302.0, P= 0.002), CRP (cut-off = 32 mg/L, OR = 37, 95% CI = 4.8-287.0, P < 0.001), and NLR (cut-off = 7, OR = 22, 95% CI = 1.4-335.0, P = 0.020) as independent risk factors for identification of severe patients.</p><p><strong>Conclusions: </strong>The concentration of methylated arginine metabolites are significantly altered in COVID-19 disease. 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引用次数: 1
摘要
前言:本研究测定并比较了COVID-19患者血清样本中精氨酸和甲基化精氨酸产物(不对称二甲基精氨酸(ADMA)、对称二甲基精氨酸(SDMA)、n-单甲基-1-精氨酸(L-NMMA)和同型精氨酸(HA))的浓度,以评估其与疾病严重程度的相关性。材料与方法:采用串联质谱法测定57例轻中度、29例重度(N = 86) COVID-19患者及21例对照组的血清精氨酸和甲基化精氨酸产物。此外,还考虑了在COVID-19随访期间测量的一些常规临床实验室参数-中性粒细胞淋巴细胞比率(NLR)、c反应蛋白、铁蛋白、d -二聚体和纤维蛋白原的浓度,并与精氨酸和甲基化精氨酸产物的浓度进行了比较。结果:重症患者血清ADMA、SDMA、L-NMMA均显著高于轻、中度患者和对照组(P < 0.001)。此外,多元logistic回归分析显示,L- nmma (cut- cut =120 nmol/L OR = 34, 95%可信区间(CI) = 3.5 ~ 302.0, P= 0.002)、CRP (cut- cut = 32 mg/L OR = 37, 95% CI = 4.8 ~ 287.0, P < 0.001)和NLR (cut- cut = 7, OR = 22, 95% CI = 1.4 ~ 335.0, P= 0.020)是鉴定重症患者的独立危险因素。结论:甲基化精氨酸代谢物浓度在COVID-19疾病中发生显著改变。本研究结果表明,COVID-19疾病严重程度与CRP、NLR和L-NMMA浓度存在显著相关性。
Association of serum ADMA, SDMA and L-NMMA concentrations with disease progression in COVID-19 patients.
Introduction: This study determines and compares the concentrations of arginine and methylated arginine products ((asymmetric dimethylarginine (ADMA), symmetric dimethylarginine (SDMA), n-monomethyl-1-arginine (L-NMMA) and homoarginine (HA)) for assessment of their association with disease severity in serum samples of COVID-19 patients.
Materials and methods: Serum arginine and methylated arginine products of 57 mild-moderate and 29 severe (N = 86) COVID-19 patients and 21 controls were determined by tandem mass spectrometry. Moreover, the concentrations of some of the routine clinical laboratory parameters -neutrophil lymphocyte ratio (NLR), C-reactive protein, ferritin, D-dimer, and fibrinogen measured during COVID-19 follow-up were also taken into consideration and compared with the concentrations of arginine and methylated arginine products.
Results: Serum ADMA, SDMA and L-NMMA were found to be significantly higher in severe COVID-19 patients, than in both mild-moderate patients and the control group (P < 0.001 for each). In addition, multiple logistic regression analysis indicated L-NMMA (cut-off =120 nmol/L OR = 34, 95% confidence interval (CI) = 3.5-302.0, P= 0.002), CRP (cut-off = 32 mg/L, OR = 37, 95% CI = 4.8-287.0, P < 0.001), and NLR (cut-off = 7, OR = 22, 95% CI = 1.4-335.0, P = 0.020) as independent risk factors for identification of severe patients.
Conclusions: The concentration of methylated arginine metabolites are significantly altered in COVID-19 disease. The results of this study indicate a significant correlation between the severity of COVID-19 disease and concentrations of CRP, NLR and L-NMMA.
期刊介绍:
Biochemia Medica is the official peer-reviewed journal of the Croatian Society of Medical Biochemistry and Laboratory Medicine. Journal provides a wide coverage of research in all aspects of clinical chemistry and laboratory medicine. Following categories fit into the scope of the Journal: general clinical chemistry, haematology and haemostasis, molecular diagnostics and endocrinology. Development, validation and verification of analytical techniques and methods applicable to clinical chemistry and laboratory medicine are welcome as well as studies dealing with laboratory organization, automation and quality control. Journal publishes on a regular basis educative preanalytical case reports (Preanalytical mysteries), articles dealing with applied biostatistics (Lessons in biostatistics) and research integrity (Research integrity corner).