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| ID | Type | Description | Link |
|---|---|---|---|
| 2009BAI86B03 | Other Grant/Funding Number | Chinese National Science & Technology Pillar Program |
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As a noninvasive examination, urinary proteomics is a very useful tool to identify renal disease. The purpose of the present study was to find differential proteins among patient with SIRS and sepsis(included survivors and non-survivors), and to screen potential biomarkers for the early diagnosis of sepsis and its prognosis. Urinary proteins were identified by iTRAQ labeling and LC-MS/MS. The bioinformatics analysis was performed with the Mascot software and the International Protein Index (IPI) and the Gene Ontology (GO) Database and KEGG pathway Database. The differentially expressed proteins were verified by Western blot by another sample collected from clinical.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| SIRS |
| ||
| sepsis | Sepsis
| ||
| non-survivors with sepsis | sepsis patients who died within 28 days |
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| Measure | Description | Time Frame |
|---|---|---|
| Survival status | The survival time of patients more than 28days is defined as survival. The survival time of patients less than 28days is defined as death | 28days after admited in ICU |
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Inclusion Criteria:
Exclusion Criteria:
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All subjects were selected from among inpatients who were hospitalized between May 2010 and Jan 2012 in the Respiratory ICU, Surgical ICU, and Emergency ICU, Chinese People's Liberation Army (CPLA) General Hospital.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Longxiang Su, MD | Contact | 15620952878 | slx77@163.com |
| Name | Affiliation | Role |
|---|---|---|
| Lixin Xie, MD | Department of Respiratory Diseases, Chinese PLA General Hospital | Study Director |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Chinese PLA General Hospital | Recruiting | Beijing | Beijing Municipality | 100853 | China |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 23425763 | Derived | Su L, Zhou R, Liu C, Wen B, Xiao K, Kong W, Tan F, Huang Y, Cao L, Xie L. Urinary proteomics analysis for sepsis biomarkers with iTRAQ labeling and two-dimensional liquid chromatography-tandem mass spectrometry. J Trauma Acute Care Surg. 2013 Mar;74(3):940-5. doi: 10.1097/TA.0b013e31828272c5. | |
| 23372690 | Derived |
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| ID | Term |
|---|---|
| D018805 | Sepsis |
| ID | Term |
|---|---|
| D007239 | Infections |
| D018746 | Systemic Inflammatory Response Syndrome |
| D007249 | Inflammation |
| D010335 | Pathologic Processes |
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| Su L, Cao L, Zhou R, Jiang Z, Xiao K, Kong W, Wang H, Deng J, Wen B, Tan F, Zhang Y, Xie L. Identification of novel biomarkers for sepsis prognosis via urinary proteomic analysis using iTRAQ labeling and 2D-LC-MS/MS. PLoS One. 2013;8(1):e54237. doi: 10.1371/journal.pone.0054237. Epub 2013 Jan 23. |
| D013568 |
| Pathological Conditions, Signs and Symptoms |