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A panel of urine-derived biomarkers to identify sepsis and distinguish it from systemic inflammatory response syndrome
Sepsis is a potentially fatal condition caused by infection. It is frequently difficult to distinguish sepsis from systemic inflammatory response syndrome (SIRS), often resulting in poor prognoses and the misuse of antibiotics. Hence, highly sensitive and specific biomarkers are needed to differenti...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531286/ https://www.ncbi.nlm.nih.gov/pubmed/34675320 http://dx.doi.org/10.1038/s41598-021-99595-0 |
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author | Tang, Yao Ling, Ning Li, Shiying Huang, Juan Zhang, Wenyue Zhang, An Ren, Hong Yang, Yixuan Hu, Huaidong Wang, Xiaohao |
author_facet | Tang, Yao Ling, Ning Li, Shiying Huang, Juan Zhang, Wenyue Zhang, An Ren, Hong Yang, Yixuan Hu, Huaidong Wang, Xiaohao |
author_sort | Tang, Yao |
collection | PubMed |
description | Sepsis is a potentially fatal condition caused by infection. It is frequently difficult to distinguish sepsis from systemic inflammatory response syndrome (SIRS), often resulting in poor prognoses and the misuse of antibiotics. Hence, highly sensitive and specific biomarkers are needed to differentiate sepsis from SIRS. Urine samples were collected and segregated by group (a sepsis group, a SIRS group, and a healthy control group). iTRAQ was used to identify the differentially expressed proteins among the three groups. The identified proteins were measured by ELISA in urine samples. Finally, all the acquired data were analyzed in SPSS. C-reactive protein, leucine-rich alpha glycoprotein-1 and serum amyloid A (SAA) protein were differentially expressed among the three groups. The adjusted median concentrations of urinary C-reactive protein were 1337.6, 358.7, and 2.4 in the sepsis, SIRS, and healthy control groups, respectively. The urinary leucine-rich alpha glycoprotein-1 levels in these three groups were 1614.4, 644.5, and 13.6, respectively, and the levels of SAA were 6.3, 2.9, and 0.07, respectively. For all three of these measures, the sepsis group had higher levels than the SIRS group (P < 0.001), and the SIRS group had higher levels than the healthy control group. When combined, the three biomarkers had a sensitivity of 0.906 and a specificity of 0.896 in distinguishing sepsis from SIRS. Urinary C-reactive protein, urinary leucine-rich alpha glycoprotein-1 and urinary SAA have diagnostic value in cases of sepsis. This initial study suggests the possibility of improved differential diagnosis between sepsis and systemic inflammatory response syndrome; additional confirmation is necessary to corroborate the findings. |
format | Online Article Text |
id | pubmed-8531286 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-85312862021-10-22 A panel of urine-derived biomarkers to identify sepsis and distinguish it from systemic inflammatory response syndrome Tang, Yao Ling, Ning Li, Shiying Huang, Juan Zhang, Wenyue Zhang, An Ren, Hong Yang, Yixuan Hu, Huaidong Wang, Xiaohao Sci Rep Article Sepsis is a potentially fatal condition caused by infection. It is frequently difficult to distinguish sepsis from systemic inflammatory response syndrome (SIRS), often resulting in poor prognoses and the misuse of antibiotics. Hence, highly sensitive and specific biomarkers are needed to differentiate sepsis from SIRS. Urine samples were collected and segregated by group (a sepsis group, a SIRS group, and a healthy control group). iTRAQ was used to identify the differentially expressed proteins among the three groups. The identified proteins were measured by ELISA in urine samples. Finally, all the acquired data were analyzed in SPSS. C-reactive protein, leucine-rich alpha glycoprotein-1 and serum amyloid A (SAA) protein were differentially expressed among the three groups. The adjusted median concentrations of urinary C-reactive protein were 1337.6, 358.7, and 2.4 in the sepsis, SIRS, and healthy control groups, respectively. The urinary leucine-rich alpha glycoprotein-1 levels in these three groups were 1614.4, 644.5, and 13.6, respectively, and the levels of SAA were 6.3, 2.9, and 0.07, respectively. For all three of these measures, the sepsis group had higher levels than the SIRS group (P < 0.001), and the SIRS group had higher levels than the healthy control group. When combined, the three biomarkers had a sensitivity of 0.906 and a specificity of 0.896 in distinguishing sepsis from SIRS. Urinary C-reactive protein, urinary leucine-rich alpha glycoprotein-1 and urinary SAA have diagnostic value in cases of sepsis. This initial study suggests the possibility of improved differential diagnosis between sepsis and systemic inflammatory response syndrome; additional confirmation is necessary to corroborate the findings. Nature Publishing Group UK 2021-10-21 /pmc/articles/PMC8531286/ /pubmed/34675320 http://dx.doi.org/10.1038/s41598-021-99595-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Tang, Yao Ling, Ning Li, Shiying Huang, Juan Zhang, Wenyue Zhang, An Ren, Hong Yang, Yixuan Hu, Huaidong Wang, Xiaohao A panel of urine-derived biomarkers to identify sepsis and distinguish it from systemic inflammatory response syndrome |
title | A panel of urine-derived biomarkers to identify sepsis and distinguish it from systemic inflammatory response syndrome |
title_full | A panel of urine-derived biomarkers to identify sepsis and distinguish it from systemic inflammatory response syndrome |
title_fullStr | A panel of urine-derived biomarkers to identify sepsis and distinguish it from systemic inflammatory response syndrome |
title_full_unstemmed | A panel of urine-derived biomarkers to identify sepsis and distinguish it from systemic inflammatory response syndrome |
title_short | A panel of urine-derived biomarkers to identify sepsis and distinguish it from systemic inflammatory response syndrome |
title_sort | panel of urine-derived biomarkers to identify sepsis and distinguish it from systemic inflammatory response syndrome |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531286/ https://www.ncbi.nlm.nih.gov/pubmed/34675320 http://dx.doi.org/10.1038/s41598-021-99595-0 |
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