Urinary Proteomics Analysis for Sepsis and Prognosis
2 other identifiers
observational
60
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for all trials
Started May 2010
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
May 1, 2010
CompletedFirst Submitted
Initial submission to the registry
December 14, 2011
CompletedFirst Posted
Study publicly available on registry
December 16, 2011
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 1, 2012
CompletedStudy Completion
Last participant's last visit for all outcomes
January 1, 2012
CompletedDecember 16, 2011
December 1, 2011
1.7 years
December 14, 2011
December 15, 2011
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
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
Study Arms (3)
SIRS
1. temperature \>38 ℃ or \<36℃; 2. pulse rate\>90 beats/min; 3. ventilatory rate\>20 breaths/min or hyperventilation with partial pressure of arterial carbon dioxide (PaCO2)\<32mmHg; 4. white blood cell count\>12,000μL-1 or \<4000μL-1 or \>10% immature cells
sepsis
Sepsis 1. sepsis: SIRS plus infection; 2. severe sepsis: sepsis associated with organ dysfunction, hypoperfusion, or hypotension; 3. septic shock: sepsis with arterial hypotension, despite adequate fluid resuscitation.
non-survivors with sepsis
sepsis patients who died within 28 days
Eligibility Criteria
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.
You may qualify if:
- Male and female aged 18 years old and over;
- clinically confirmed infection;
- fulfilled at least two criteria of systemic inflammatory response syndrome
- (a) core temperature higher than 38 °C or lower than 36 °C
- (b)respiratory rate above 20/min, or PCO2 below 32 mmHg
- (c) pulse rate above 90/min, and
- (d) white blood cell count greater than 12,000/μl or lower than \< 4,000/μl or less than 10% of bands.
You may not qualify if:
- younger than 18 years of age;
- acquired immunodeficiency syndrome;
- reduced polymorphonuclear granulocyte counts (\< 500 μL-1);
- died within 24h after admission into the ICU, or refused to participate in the study, or declined treatment during the period of observation.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Chinese PLA General Hospital
Beijing, Beijing Municipality, 100853, China
Related Publications (2)
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.
PMID: 23425763DERIVEDSu 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.
PMID: 23372690DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY DIRECTOR
Lixin Xie, MD
Department of Respiratory Diseases, Chinese PLA General Hospital
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- CASE CONTROL
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
Study Record Dates
First Submitted
December 14, 2011
First Posted
December 16, 2011
Study Start
May 1, 2010
Primary Completion
January 1, 2012
Study Completion
January 1, 2012
Last Updated
December 16, 2011
Record last verified: 2011-12