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The potential of microRNA-126 in predicting disease risk, mortality of sepsis, and its correlation with inflammation and sepsis severity.

ABSTRACT: BACKGROUND:MicroRNA-126 (miR-126) has been investigated in autoimmune diseases and organ failures, whereas its implication in sepsis is rarely reported. Our study initially explored the value of miR-126 in diagnosing sepsis and predicting disease severity, degree of inflammation, and mortality. METHODS:Totally, 208 sepsis patients and 210 healthy controls were enrolled; then, their plasma samples were collected for detecting circulating miR-126 by quantitative polymerase chain reaction. For sepsis patients, their cytokine levels in plasma samples were detected by enzyme-linked immunosorbent assay. RESULTS:miR-126 was upregulated in sepsis patients compared with healthy controls, and it was of certain value in distinguishing sepsis patients from healthy controls (AUC: 0.726 (95% CI: 0.678-0.774)). miR-126 expression was positively correlated with acute physiology and chronic health evaluation II score, serum creatinine, and C-reactive protein but not albumin or white blood cell count in sepsis patients. Regarding cytokines, miR-126 was positively correlated with tumor necrosis factor-?, interleukin (IL)-6, and IL-8, but negatively correlated with IL-10 in sepsis patients. As for mortality, miR-126 expression was higher in deaths compared with survivors, and ROC curve displayed that it could predict mortality of sepsis patients to some extent with AUC of 0.619 (95% CI: 0.533-0.705). CONCLUSION:miR-126 potentially serves as an assistant diagnostic and prognostic biomarker for sepsis.

SUBMITTER: Lin R

PROVIDER: S-EPMC7521265 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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The potential of microRNA-126 in predicting disease risk, mortality of sepsis, and its correlation with inflammation and sepsis severity.

Lin Run R Hu Haiyan H Li Lehui L Chen Gengqian G Luo Lingqing L Rao Ping P

Journal of clinical laboratory analysis 20200602 9

<h4>Background</h4>MicroRNA-126 (miR-126) has been investigated in autoimmune diseases and organ failures, whereas its implication in sepsis is rarely reported. Our study initially explored the value of miR-126 in diagnosing sepsis and predicting disease severity, degree of inflammation, and mortality.<h4>Methods</h4>Totally, 208 sepsis patients and 210 healthy controls were enrolled; then, their plasma samples were collected for detecting circulating miR-126 by quantitative polymerase chain rea ...[more]

PMID: 32484987

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Project description:ObjectivesWe tested the hypothesis that a C-reactive protein and ferritin-based systemic inflammation contingency table can track mortality risk in pediatric severe sepsis.DesignProspective cohort study.SettingTertiary PICU.PatientsChildren with 100 separate admission episodes of severe sepsis were enrolled.InterventionsBlood samples were attained on day 2 of sepsis and bi-weekly for biomarker batch analysis. A 2 × 2 contingency table using C-reactive protein and ferritin thresholds was developed.Measurements and main resultsA C-reactive protein of 4.08 mg/dL and a ferritin of 1,980 ng/mL were found to be optimal cutoffs for outcome prediction at first sampling (n = 100) using the Youden index. PICU mortality was increased in the "high-risk" C-reactive protein greater than or equal to 4.08 mg/dL and ferritin greater than or equal to 1,980 ng/mL category (6/13 [46.15%]) compared with the "intermediate-risk" C-reactive protein greater than or equal to 4.08 mg/dL and ferritin less than 1,980 ng/mL or C-reactive protein less than 4.08 mg/dL and ferritin greater than or equal to 1,980 ng/mL categories (2/43 [4.65%]), and the "low-risk" C-reactive protein less than 4.08 mg/dL and ferritin less than 1,980 ng/mL category (0/44 [0%]) (odds ratio, 36.43 [95% CI, 6.16-215.21]). The high-risk category was also associated with the development of immunoparalysis (odds ratio, 4.47 [95% CI, 1.34-14.96]) and macrophage activation syndrome (odds ratio, 24.20 [95% CI, 5.50-106.54]). Sixty-three children underwent sequential blood sampling; those who were initially in the low-risk category (n = 24) and those who subsequently migrated (n = 19) to the low-risk category all survived, whereas those who remained in the "at-risk" categories had increased mortality (7/20 [35%]; p < 0.05).ConclusionsA C-reactive protein- and ferritin-based contingency table effectively assessed mortality risk. Reduction in systemic inflammation below a combined threshold C-reactive protein of 4.08 mg/dL and ferritin of 1,980 ng/mL appeared to be a desired response in children with severe sepsis.

Project description:IntroductionCoronavirus disease 2019 (COVID-19) caused by SARS-CoV-2 virus, is a major public health concern spanning from healthy carriers to patients with life-threatening conditions. Although most of COVID-19 patients have mild-to-moderate clinical symptoms, some patients have severe pneumonia leading to death. Therefore, the early prediction of disease prognosis and severity is crucial in COVID-19 patients. The main objective of this study is to evaluate the haemocytometric parameters and identify severity score associated with SARS-CoV-2 infection.MethodsClinical and laboratory records were retrospectively reviewed from 97 cases of COVID-19 admitted to hospitals in Istanbul, Turkey. The patient groups were subdivided into three major groups: Group 1 (Non-critical): 59 patients, Group 2 (Critical-Survivors): 23 patients and Group 3 (Critical-Non-survivors):15 patients. These data was tested for correlation, including with derived haemocytometric parameters. The blood analyses were performed the Sysmex XN-series automated hematology analyser using standard laboratory protocols. All statistical testing was undertaken using Analyse-it software.Results97 patients with COVID-19 disease and 935 sequential complete blood count (CBC-Diff) measurements (days 0-30) were included in the final analyses. Multivariate analysis demonstrated that red cell distribution width (RDW) (>13.7), neutrophil to lymphocyte ratio (NLR) (4.4), Hemoglobin (Hgb) (<11.4 gr/dL) and monocyte to neutrophil ratio (MNR) (0.084) had the highest area under curve (AUC) values, respectively in discrimination critical patients than non-critical patients. In determining Group 3, MNR (<0.095), NLR (>5.2), Plateletcount (PLT) (>142 x103/L) and RDW (>14) were important haemocytometric parameters, and the mortality risk value created by their combination had the highest AUC value (AUC = 0.911, 95% CI, 0886-0.931). Trend analysis of CBC-Diff parameters over 30 days of hospitalization, NLR on day 2, MNR on day 4, RDW on day 6 and PLT on day 7 of admission were found to be the best time related parameters in discrimination non-critical (mild-moderate) patient group from critical (severe and non-survivor) patient group.ConclusionNLR is a strong predictor for the prognosis for severe COVID-19 patients when the cut-off chosen was 4.4, the combined mortality risk factor COVID-19 disease generated from RDW-CV, NLR, MNR and PLT is best as a mortality haematocytometric index.

Dataset Information

The potential of microRNA-126 in predicting disease risk, mortality of sepsis, and its correlation with inflammation and sepsis severity.

Publications

The potential of microRNA-126 in predicting disease risk, mortality of sepsis, and its correlation with inflammation and sepsis severity.

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