Differences of blood cells, lymphocyte subsets and cytokines in COVID-19 patients with different clinical stages: a network meta-analysis

Wu, Yan; Chen, Danrong; Bigambo, Francis Manyori; Wei, Hongcheng; Wang, Xu; Xia, Yankai

doi:10.1186/s12879-021-05847-9

Cited by 28 publications

(27 citation statements)

References 36 publications

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“…IL-10 on the other hand, by a direct effect on macrophages and T and B-cells has a major immune suppressive function and may counter-act to control this (hyper)inflammatory state caused by compound action of pro-inflammatory cytokines [ 12 , 13 ]. The association of these cytokines with COVID-19 severity has also been described in some previous studies [ 1 , 9 , 14 – 22 ]. In our study, these cytokines were also found to be high in the non-survivor group.…”

Section: Discussionsupporting

confidence: 77%

Serial measurement of cytokines strongly predict COVID-19 outcome

et al. 2021

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Purpose Cytokines are major mediators of COVID-19 pathogenesis and several of them are already being regarded as predictive markers for the clinical course and outcome of COVID-19 cases. A major pitfall of many COVID-19 cytokine studies is the lack of a benchmark sampling timing. Since cytokines and their relative change during an infectious disease course is quite dynamic, we evaluated the predictive value of serially measured cytokines for COVID-19 cases. Methods In this single-center, prospective study, a broad spectrum of cytokines were determined by multiplex ELISA assay in samples collected at admission and at the third day of hospitalization. Appropriateness of cytokine levels in predicting mortality were assessed by receiver-operating characteristic (ROC) analyses for both sampling times in paralel to conventional biomarkers. Results At both sampling points, higher levels of IL-6, IL-7, IL-10, IL-15, IL-27 IP-10, MCP-1, and GCSF were found to be more predictive for mortality (p<0.05). Some of these cytokines, such as IL-6, IL-10, IL-7 and GCSF, had higher sensitivity and specificity in predicting mortality. AUC values of IL-6, IL-10, IL-7 and GCSF were 0.85 (0.65 to 0.92), 0.88 (0.73 to 0.96), 0.80 (0.63 to 0.91) and 0.86 (0.70 to 0.95), respectively at hospital admission. Compared to hospital admission, on the 3rd day of hospitalization serum levels of IL-6 and, IL-10 decreased significantly in the survivor group, unlike the non-survivor group (IL-6, p = 0.015, and IL-10, p = 0.016). Conclusion Our study results suggest that single-sample-based cytokine analyzes can be misleading and that cytokine levels measured serially at different sampling times provide a more precise and accurate estimate for the outcome of COVID-19 patients.

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Section: Discussionsupporting

confidence: 77%

Serial measurement of cytokines strongly predict COVID-19 outcome

et al. 2021

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“…For orientation, we estimated the cellular composition of leucocytes based on DNA methylation profiles [11]. This analysis showed reduced fractions of lymphocyte subsets (CD4, CD8, NK and B-cells) and increased monocytes and granulocytes in COVID-19 patients, which is in line with previous and own measurements with flow cytometry (Supplementary Figure S2) [12].…”

Section: Resultssupporting

confidence: 86%

Epigenetic Clocks Are Not Accelerated in COVID-19 Patients

Franzen

Nüchtern

Tharmapalan

et al. 2021

IJMS

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Age is a major risk factor for severe outcome of the 2019 coronavirus disease (COVID-19). In this study, we followed the hypothesis that particularly patients with accelerated epigenetic age are affected by severe outcomes of COVID-19. We investigated various DNA methylation datasets of blood samples with epigenetic aging signatures and performed targeted bisulfite amplicon sequencing. Overall, epigenetic clocks closely correlated with the chronological age of patients, either with or without acute respiratory distress syndrome. Furthermore, lymphocytes did not reveal significantly accelerated telomere attrition. Thus, these biomarkers cannot reliably predict higher risk for severe COVID-19 infection in elderly patients.

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“…It has been reported that TNF alpha and interleukin 1-beta (IL-1beta) suppress serum EPCR level and simultaneously high sEPCR level was detected [ 30 , 31 ]. TNF alpha and IL-1beta are known to be among the major cytokines in the cytokine storm seen in COVID-19 course [ 32 ]. Steven et al [ 33 ] have suggested that considering the role of protein C system in inflammation and coagulation, APC may be involved in the treatment of disease based on the close relationship between inflammation and coagulation cascade in the course of COVID-19.…”

Section: Discussionmentioning

confidence: 99%

Relationship between serum soluble endothelial protein C receptor level and COVID-19 findings

Bayrakci

Özkan²,

Mutlu³

et al. 2021

Blood Coagulation &Amp; Fibrinolysis

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Coronavirus-related disease-2019 (COVID-19)-associated coagulopathy presents predominantly with thrombosis and leads to complications in close association with inflammatory process. Soluble endothelial protein C receptor (sEPCR), which is the soluble form of EPCR, reduces the anticoagulant and anti-inflammatory activity of activated protein C. The purpose of this study is to investigate the relationship between sEPCR and the laboratory parameters and thorax computed tomography (CT) findings in the course of COVID-19. Twenty-five laboratory-confirmed [reverse transcription-quantitative polimerase chain reaction (RT-qPCR) positive] and 24 clinically diagnosed (RT-qPCR negative) COVID-19 patients were enrolled in the study. Blood specimens were collected for sEPCR and haematological and biochemical parameter measurement. Thorax CT was performed to detect COVID-19 findings. These parameters from RT-qPCR positive and negative patients were then compared. Although there was no difference between the groups in terms of symptoms, the time between the onset of symptoms and the admission time was shorter in RT-qPCR positive group ( P = 0.000). sEPCR levels were significantly higher in the RT-qPCR positive group ( P = 0.011). Patients with ground-glass opacity and bilateral involvement on thorax CT have higher serum sEPCR levels ( P = 0.012 and 0.043, respectively). This study has shown for the first time that serum sEPCR levels, which is a member of coagulation cascade and has also been reported to be associated with inflammation, is higher in patients with positive RT-qPCR test and patients with GGO or bilateral involvement on thorax CT regardless of the PCR result.

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Differences of blood cells, lymphocyte subsets and cytokines in COVID-19 patients with different clinical stages: a network meta-analysis

Cited by 28 publications

References 36 publications

Serial measurement of cytokines strongly predict COVID-19 outcome

Serial measurement of cytokines strongly predict COVID-19 outcome

Epigenetic Clocks Are Not Accelerated in COVID-19 Patients

Relationship between serum soluble endothelial protein C receptor level and COVID-19 findings

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