Evidence for serum miR-15a and miR-16 levels as biomarkers that distinguish sepsis from systemic inflammatory response syndrome in human subjects
: Serum microRNAs may be useful biomarkers for diagnosing human diseases. We investigated serum levels of miR-15a and miR-16 in patients with sepsis and systemic inflammatory response syndrome (SIRS) without infection. : We enrolled 166 sepsis patients, 32 SIRS patients, and 24 normal controls. Seru...
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Published in | Clinical chemistry and laboratory medicine Vol. 50; no. 8; pp. 1423 - 1428 |
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Language | English |
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Walter de Gruyter
01.08.2012
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Abstract | : Serum microRNAs may be useful biomarkers for diagnosing human diseases. We investigated serum levels of miR-15a and miR-16 in patients with sepsis and systemic inflammatory response syndrome (SIRS) without infection.
: We enrolled 166 sepsis patients, 32 SIRS patients, and 24 normal controls. Serum miR-15a and miR-16 expression levels were determined by quantitative reverse transcriptase polymerase chain reaction assays (qRT-PCR).
: Serum miR-15a (p<0.001) and miR-16 (p<0.05) were both significantly higher in sepsis patients compared with normal controls, and miR-15a (p<0.001) and miR-16 (p<0.01) levels in SIRS patients were also significantly higher than those in normal controls. Serum miR-15a and miR-16 levels were not correlated with white blood cell counts. Receiver operating characteristic curves showed that miR-15a had the highest area under the curve of 0.858 [95% confidence interval (CI) 0.800–0.916] for the diagnosis of sepsis compared with C reactive protein and procalcitonin with areas under the curve of 0.572 (95% CI 0.479–0.665; p=0.198) and 0.605 (95% CI 0.443–0.767; p=0.168), respectively. When its cut-off point was set at 0.21, serum miR-15a had a sensitivity of 68.3% and a specificity of 94.4%.
: Serum miR-15a and miR-16 can both distinguish sepsis/SIRS from normal controls. miR-15a may be a biomarker that distinguishes between sepsis and SIRS. |
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AbstractList | : Serum microRNAs may be useful biomarkers for diagnosing human diseases. We investigated serum levels of miR-15a and miR-16 in patients with sepsis and systemic inflammatory response syndrome (SIRS) without infection.
: We enrolled 166 sepsis patients, 32 SIRS patients, and 24 normal controls. Serum miR-15a and miR-16 expression levels were determined by quantitative reverse transcriptase polymerase chain reaction assays (qRT-PCR).
: Serum miR-15a (p<0.001) and miR-16 (p<0.05) were both significantly higher in sepsis patients compared with normal controls, and miR-15a (p<0.001) and miR-16 (p<0.01) levels in SIRS patients were also significantly higher than those in normal controls. Serum miR-15a and miR-16 levels were not correlated with white blood cell counts. Receiver operating characteristic curves showed that miR-15a had the highest area under the curve of 0.858 [95% confidence interval (CI) 0.800–0.916] for the diagnosis of sepsis compared with C reactive protein and procalcitonin with areas under the curve of 0.572 (95% CI 0.479–0.665; p=0.198) and 0.605 (95% CI 0.443–0.767; p=0.168), respectively. When its cut-off point was set at 0.21, serum miR-15a had a sensitivity of 68.3% and a specificity of 94.4%.
: Serum miR-15a and miR-16 can both distinguish sepsis/SIRS from normal controls. miR-15a may be a biomarker that distinguishes between sepsis and SIRS. Serum microRNAs may be useful biomarkers for diagnosing human diseases. We investigated serum levels of miR-15a and miR-16 in patients with sepsis and systemic inflammatory response syndrome (SIRS) without infection.BACKGROUNDSerum microRNAs may be useful biomarkers for diagnosing human diseases. We investigated serum levels of miR-15a and miR-16 in patients with sepsis and systemic inflammatory response syndrome (SIRS) without infection.We enrolled 166 sepsis patients, 32 SIRS patients, and 24 normal controls. Serum miR-15a and miR-16 expression levels were determined by quantitative reverse transcriptase polymerase chain reaction assays (qRT-PCR).METHODSWe enrolled 166 sepsis patients, 32 SIRS patients, and 24 normal controls. Serum miR-15a and miR-16 expression levels were determined by quantitative reverse transcriptase polymerase chain reaction assays (qRT-PCR).Serum miR-15a (p<0.001) and miR-16 (p<0.05) were both significantly higher in sepsis patients compared with normal controls, and miR-15a (p<0.001) and miR-16 (p<0.01) levels in SIRS patients were also significantly higher than those in normal controls. Serum miR-15a and miR-16 levels were not correlated with white blood cell counts. Receiver operating characteristic curves showed that miR-15a had the highest area under the curve of 0.858 [95% confidence interval (CI) 0.800-0.916] for the diagnosis of sepsis compared with C reactive protein and procalcitonin with areas under the curve of 0.572 (95% CI 0.479-0.665; p=0.198) and 0.605 (95% CI 0.443-0.767; p=0.168), respectively. When its cut-off point was set at 0.21, serum miR-15a had a sensitivity of 68.3% and a specificity of 94.4%.RESULTSSerum miR-15a (p<0.001) and miR-16 (p<0.05) were both significantly higher in sepsis patients compared with normal controls, and miR-15a (p<0.001) and miR-16 (p<0.01) levels in SIRS patients were also significantly higher than those in normal controls. Serum miR-15a and miR-16 levels were not correlated with white blood cell counts. Receiver operating characteristic curves showed that miR-15a had the highest area under the curve of 0.858 [95% confidence interval (CI) 0.800-0.916] for the diagnosis of sepsis compared with C reactive protein and procalcitonin with areas under the curve of 0.572 (95% CI 0.479-0.665; p=0.198) and 0.605 (95% CI 0.443-0.767; p=0.168), respectively. When its cut-off point was set at 0.21, serum miR-15a had a sensitivity of 68.3% and a specificity of 94.4%.Serum miR-15a and miR-16 can both distinguish sepsis/SIRS from normal controls. miR-15a may be a biomarker that distinguishes between sepsis and SIRS.CONCLUSIONSSerum miR-15a and miR-16 can both distinguish sepsis/SIRS from normal controls. miR-15a may be a biomarker that distinguishes between sepsis and SIRS. Background : Serum microRNAs may be useful biomarkers for diagnosing human diseases. We investigated serum levels of miR-15a and miR-16 in patients with sepsis and systemic inflammatory response syndrome (SIRS) without infection. Methods : We enrolled 166 sepsis patients, 32 SIRS patients, and 24 normal controls. Serum miR-15a and miR-16 expression levels were determined by quantitative reverse transcriptase polymerase chain reaction assays (qRT-PCR). Results : Serum miR-15a (p<0.001) and miR-16 (p<0.05) were both significantly higher in sepsis patients compared with normal controls, and miR-15a (p<0.001) and miR-16 (p<0.01) levels in SIRS patients were also significantly higher than those in normal controls. Serum miR-15a and miR-16 levels were not correlated with white blood cell counts. Receiver operating characteristic curves showed that miR-15a had the highest area under the curve of 0.858 [95% confidence interval (CI) 0.800-0.916] for the diagnosis of sepsis compared with C reactive protein and procalcitonin with areas under the curve of 0.572 (95% CI 0.479-0.665; p=0.198) and 0.605 (95% CI 0.443-0.767; p=0.168), respectively. When its cut-off point was set at 0.21, serum miR-15a had a sensitivity of 68.3% and a specificity of 94.4%. Conclusions : Serum miR-15a and miR-16 can both distinguish sepsis/SIRS from normal controls. miR-15a may be a biomarker that distinguishes between sepsis and SIRS. Serum microRNAs may be useful biomarkers for diagnosing human diseases. We investigated serum levels of miR-15a and miR-16 in patients with sepsis and systemic inflammatory response syndrome (SIRS) without infection. We enrolled 166 sepsis patients, 32 SIRS patients, and 24 normal controls. Serum miR-15a and miR-16 expression levels were determined by quantitative reverse transcriptase polymerase chain reaction assays (qRT-PCR). Serum miR-15a (p<0.001) and miR-16 (p<0.05) were both significantly higher in sepsis patients compared with normal controls, and miR-15a (p<0.001) and miR-16 (p<0.01) levels in SIRS patients were also significantly higher than those in normal controls. Serum miR-15a and miR-16 levels were not correlated with white blood cell counts. Receiver operating characteristic curves showed that miR-15a had the highest area under the curve of 0.858 [95% confidence interval (CI) 0.800-0.916] for the diagnosis of sepsis compared with C reactive protein and procalcitonin with areas under the curve of 0.572 (95% CI 0.479-0.665; p=0.198) and 0.605 (95% CI 0.443-0.767; p=0.168), respectively. When its cut-off point was set at 0.21, serum miR-15a had a sensitivity of 68.3% and a specificity of 94.4%. Serum miR-15a and miR-16 can both distinguish sepsis/SIRS from normal controls. miR-15a may be a biomarker that distinguishes between sepsis and SIRS. |
Author | Xie, Li-xin Zhang, Pengjun Chen, Weijun Jia, Yanhong Feng, Dan Wang, Huijuan |
Author_xml | – sequence: 1 givenname: Huijuan surname: Wang fullname: Wang, Huijuan – sequence: 2 givenname: Pengjun surname: Zhang fullname: Zhang, Pengjun – sequence: 3 givenname: Weijun surname: Chen fullname: Chen, Weijun organization: Medical College, Nankai University, Tianjin, P.R. China – sequence: 4 givenname: Dan surname: Feng fullname: Feng, Dan organization: Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Airport Industry B6, Beijing, P.R. China – sequence: 5 givenname: Yanhong surname: Jia fullname: Jia, Yanhong organization: Department of Respiratory Medicine, Chinese PLA General Hospital, Beijing, P.R. China – sequence: 6 givenname: Li-xin surname: Xie fullname: Xie, Li-xin email: xielx@263.net organization: Department of Respiratory Medicine, Chinese PLA General Hospital, Beijing, P.R. China |
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Keywords | Human Biological marker Biological indicator Inflammation miR-15a Bacteremia Infection Medicine Sepsis syndrome miR-16 Systemic inflammatory response syndrome Clinical biology Bacteriosis Serum Diagnosis sepsis |
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Snippet | : Serum microRNAs may be useful biomarkers for diagnosing human diseases. We investigated serum levels of miR-15a and miR-16 in patients with sepsis and... Serum microRNAs may be useful biomarkers for diagnosing human diseases. We investigated serum levels of miR-15a and miR-16 in patients with sepsis and systemic... Background : Serum microRNAs may be useful biomarkers for diagnosing human diseases. We investigated serum levels of miR-15a and miR-16 in patients with sepsis... |
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SubjectTerms | Adult Aged Aged, 80 and over Bacterial diseases Bacterial sepsis Biological and medical sciences Biomarkers - blood Cross-Sectional Studies diagnosis Diagnosis, Differential Female General aspects Human bacterial diseases Humans Infectious diseases Investigative techniques, diagnostic techniques (general aspects) Male Medical sciences MicroRNAs - blood Middle Aged miR-15a miR-16 Reverse Transcriptase Polymerase Chain Reaction sepsis Sepsis - blood Sepsis - diagnosis Sepsis - genetics Systemic Inflammatory Response Syndrome - blood Systemic Inflammatory Response Syndrome - diagnosis Young Adult |
Title | Evidence for serum miR-15a and miR-16 levels as biomarkers that distinguish sepsis from systemic inflammatory response syndrome in human subjects |
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