Selected article for: "acute respiratory syndrome and lymphocyte decrease"

Author: Zhao, Ruxing; Sun, Yujing; Zhang, Yongyuan; Wang, Weili; Wang, Shouyu; Wang, Chuang; Liu, Jinbo; Gao, Ling; Hu, Zhao; Fei, Jianchun; Hou, Xinguo; Zheng, Huizhen; Chen, Li
Title: Distinguishable Immunologic Characteristics of COVID-19 Patients with Comorbid Type 2 Diabetes Compared with Nondiabetic Individuals
  • Cord-id: ynemtqua
  • Document date: 2020_9_29
  • ID: ynemtqua
    Snippet: BACKGROUND: COVID-19 caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has threatened every civilian as a global pandemic. The immune system poses the critical interactive chain between the human body and the virus. Here, we make efforts to examine whether comorbidity with type 2 diabetes (T2D) affects the immunological response in COVID-19 patients. METHODS: We conducted a retrospective pilot study investigating immunological characteristics of confirmed cases of COVID-19 w
    Document: BACKGROUND: COVID-19 caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has threatened every civilian as a global pandemic. The immune system poses the critical interactive chain between the human body and the virus. Here, we make efforts to examine whether comorbidity with type 2 diabetes (T2D) affects the immunological response in COVID-19 patients. METHODS: We conducted a retrospective pilot study investigating immunological characteristics of confirmed cases of COVID-19 with or without comorbid T2D. Two subcohorts of sex- and age-matched participants were eligible for data analysis, of which 33 participants were with T2D and the remaining 37 were nondiabetic (NDM). Cellular immunity was assessed by flow cytometric determination of surface markers including CD3, CD4, CD8, CD19, CD16, and CD56 in peripheral blood. Levels of C reactive protein, immunoglobulin (IgG, IgM, IgA, and IgE), and complements (C3, C4) were detected by rate nephelometry immunoassay. And Th1/Th2 cytokines (IL-2, IL-4, IL-6, IL-10, TNF-α, and IFN-γ) were detected by Cytometric Bead Array. RESULTS: Neutrophil counts were found to be significantly higher in the T2D group than in the NDM group and had a significant relevance with clinical severity. Lymphocyte frequencies showed no significant differences in the two groups. However, the proportions and absolute counts of T, Tc, Th, and NK cells decreased in both groups to different degrees. An abnormal increase in neutrophil count and a decrease in lymphocyte subpopulations may represent risk factors of COVID-19 severity. The level of IgG, IgM, IgA, C3, and C4 showed no significant difference between the two groups, while the IgE levels were higher in the T2D group than in the NDM group (p < 0.05). Th1 cytokines including IFN-γ, TNF-α, and IL-6, as well as CRP, appeared significantly higher in the T2D group. CONCLUSIONS: The COVID-19 patients comorbid with T2D demonstrated distinguishable immunological parameters, which represented clinical relevancies with the predisposed disease severity in T2D.

    Search related documents:
    Co phrase search for related documents
    • abnormal increase and logistic regression: 1, 2
    • abnormal increase and logistic regression analysis: 1, 2
    • abnormal leukocytosis and logistic regression: 1, 2
    • abnormal leukocytosis and logistic regression analysis: 1
    • abnormal neutrophilia and logistic regression: 1
    • abnormal neutrophilia and logistic regression analysis: 1
    • abnormal rate and acute ards respiratory distress syndrome: 1
    • abnormal rate and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9
    • abnormal rate and logistic regression analysis: 1, 2
    • abnormal rate and logistic regression model: 1
    • absolute level and logistic regression: 1, 2
    • absolute level and logistic regression analysis: 1
    • absolute level and logistic regression model: 1, 2
    • absolute number and acute ards respiratory distress syndrome: 1
    • absolute number and adaptive innate: 1, 2, 3, 4
    • absolute number and logistic regression: 1, 2, 3, 4, 5
    • absolute number and logistic regression analysis: 1
    • absolute value and acute ards respiratory distress syndrome: 1
    • absolute value and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9