Serum Proteomics Analysis for Sepsis

Serum Proteomics Analysis for Dynamic Changes of Differential Proteins in Sepsis Patient With iTRAQ Labeling and LC-MS/MS

Serum proteomics is a very useful tool to identify various disease. The purpose of the present study was to find differential proteins among patient with normal, SIRS, sepsis, severe sepsis, death and to screen potential biomarkers for their dynamic changes. Serum 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.

Study Overview

• Status: Unknown
• Conditions: Sepsis; Death; Severe Sepsis; SIRS

• Study Type: Observational
• Enrollment (Anticipated): 100

Contacts and Locations

Study Locations

• China
  • Beijing
    • Beijin, Beijing, China, 100853
      • Recruiting
      • Chinese PLA General Hospital

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 18 years and older (Adult, Older Adult)
• Accepts Healthy Volunteers: Yes
• Genders Eligible for Study: All

• Sampling Method: Probability Sample

Study Population

All subjects were selected from among inpatients who were hospitalized between May 2010 and Mar 2012 in the Respiratory ICU, Surgical ICU, and Emergency ICU, Chinese People's Liberation Army (CPLA) General Hospital.

Description

Inclusion Criteria:

• 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.

Exclusion Criteria:

• 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.

Study Plan

How is the study designed?

Number of groups / cohorts

5

Cohorts and Interventions

Group / Cohort
SIRS; temperature >38 ℃ or <36℃;; pulse rate>90 beats/min;; ventilatory rate>20 breaths/min or hyperventilation with partial pressure of arterial carbon dioxide (PaCO2)<32mmHg;; white blood cell count>12,000μL-1 or <4000μL-1 or >10% immature cells
Normal; normal person under physical examination
spesis; sepsis is defined as SIRS plus confirmed infection.
severe sepsis; severe sepsis: sepsis associated with organ dysfunction, hypoperfusion, or hypotension;; septic shock: sepsis with arterial hypotension, despite adequate fluid resuscitation.
death; sepsis patients within 48 hours before death

What is the study measuring?

Primary Outcome Measures

Outcome Measure	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.	28 days after admission to ICU

Collaborators and Investigators

• Sponsor: Chinese PLA General Hospital

Publications and helpful links

General Publications

• Su L, Pan P, Yan P, Long Y, Zhou X, Wang X, Zhou R, Wen B, Xie L, Liu D. Role of vimentin in modulating immune cell apoptosis and inflammatory responses in sepsis. Sci Rep. 2019 Apr 5;9(1):5747. doi: 10.1038/s41598-019-42287-7.

Study record dates

Study Major Dates

• Study Start: May 1, 2010
• Primary Completion (Anticipated): March 1, 2012
• Study Completion (Anticipated): March 1, 2012

Study Registration Dates

• First Submitted: December 15, 2011
• First Submitted That Met QC Criteria: December 15, 2011
• First Posted (Estimate): December 16, 2011

Study Record Updates

• Last Update Posted (Estimate): December 16, 2011
• Last Update Submitted That Met QC Criteria: December 15, 2011
• Last Verified: December 1, 2011

More Information

Terms related to this study

• Keywords: normal; sepsis,; proteomics,; serum,; potential biomarkers,; dynamic changes
• Additional Relevant MeSH Terms: Pathologic Processes; Infections; Systemic Inflammatory Response Syndrome; Inflammation; Sepsis; Toxemia
• Other Study ID Numbers: 20111013-007(2); 2009BAI86B03 (Other Grant/Funding Number: Chinese National Science & Technology Pillar Program)