A Study of Exosome Proteomics and Hemodynamics in Sepsis

Hemodynamic Instability Clinical Trial

Official title:

An Observation Study of Exosome Proteomics Released From Cardiopulmonary Organs and Hemodynamic Parameters in Sepsis

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT03267160
• Other study ID #: 05-XD15-039
• Status: Completed
• Start date: January 18, 2017
• Est. completion date: January 30, 2020

Study information

• Verified date: February 2021
• Source: Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

This research will be the first study for exosomes purified in blood and urine from septic patients who had multiple organ failures. Proteomics studies in exosomes from blood or urine specimens. Analyze autophage, and apoptosis related biomarkers of exosomes by bioinformatics. To find the correlations between exosomes biomarkers and hemodynamic parameters.

Description:

Background: Sepsis, defined as an infection with evidence of systemic infection, continues to be a source of considerable morbidity and mortality. Many animal sepsis models had found that sepsis induced multiple organ failure. Autophagy, apoptosis may involve the process of sepsis related multiple organ failure. Mass spectrometry-based proteomics studies in clinical populations and in rodent and mammalian animal models had started with discovered many novel biomarkers of sepsis. Esoxomes had been found in blood or urine presented the signal of autophagy and apoptosis. On the other hand, pulse contour cardiac output (PiCCO) can calculate hemodynamic parameters that had been used for evaluation in cardiopulmonary failure of sepsis.

Aims of the study: This research will be the first study for exosomes purified in blood and urine from septic patients who had multiple organ failures. Proteomics studies in exosomes from blood or urine specimens. Analyze autophage, and apoptosis related biomarkers of exosomes by bioinformatics. To find the correlations between exosomes biomarkers and hemodynamic parameters.

Materials and Methods: A total of 30 patients with sepsis, septic shock, or multiple organ failure will be included, of whom 15 septic patients had cardiopulmonary organ failure, others will be not. All patients included and classified according to the surviving sepsis campaign criteria, also treat according to surviving sepsis campaign guidelines. Data will be collected from January 2016 to December 2016. Exosome will be isolated and purified by sucrose gradient ultracentrifugation. Magnetic beads purification, 2D gel electrphoresis, and MALDI-TOF will be used to analyze proteomics of exosome in urine or blood of septic patients. Western blotting will be done to prove the proteins found by proteomics. Pulse contour cardiac output monitored heart contractility, end-diastolic volume parameters, and lung water parameters. Finally, to find the correlations between exosome specific organ and autophagy-apoptosis biomarkers and hemodynamic parameters.

Possible effect: Systematic establishment of exosome proteomics in blood and urine from septic patients who had multiple organ failure or not will be done. Autophagy-apoptosis biomarkers in exosomes will be detected and correlated to hemodynamic parameters, to judge specific organ failure in sepsis.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 30
• Est. completion date: January 30, 2020
• Est. primary completion date: January 30, 2020
• Accepts healthy volunteers: No
• Gender: All
• Age group: 20 Years to 99 Years

Eligibility

Inclusion Criteria:

1. Patients with sepsis who admit to ICU

2. Sepsis diagnostic criteria: acute change in total SOFA score = 2 points attributable to infection

3. Pulse indicator continuous cardiac output monitor (PiCCO) is accept by patient for hemodynamic monitoring

Exclusion Criteria:

1. Patients with acute SOFA changes < 2 points are excluded

2. auria, no urine can be collected

3. Previous cardiopulmonary co-morbidity. Chronic respiratory failure with ventilator dependence and chronic heart failure.

Related Conditions & MeSH terms

• Autophagy
• Hemodynamic Instability
• Sepsis

Intervention

Diagnostic Test:
• Hemodynamic parameters
Pulse contour cardiac output monitored heart contractility, end-diastolic volume parameters, and lung water parameters.

Locations

Country	Name	City	State
Taiwan	Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation	Taipei

Sponsors (1)

Lead Sponsor	Collaborator
Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation

Country where clinical trial is conducted

Taiwan, 

References & Publications (2)

Gao M, Ha T, Zhang X, Wang X, Liu L, Kalbfleisch J, Singh K, Williams D, Li C. The Toll-like receptor 9 ligand, CpG oligodeoxynucleotide, attenuates cardiac dysfunction in polymicrobial sepsis, involving activation of both phosphoinositide 3 kinase/Akt and extracellular-signal-related kinase signaling. J Infect Dis. 2013 May 1;207(9):1471-9. doi: 10.1093/infdis/jit036. Epub 2013 Jan 28. — View Citation

Lo S, Yuan SS, Hsu C, Cheng YJ, Chang YF, Hsueh HW, Lee PH, Hsieh YC. Lc3 over-expression improves survival and attenuates lung injury through increasing autophagosomal clearance in septic mice. Ann Surg. 2013 Feb;257(2):352-63. doi: 10.1097/SLA.0b013e318269d0e2. — View Citation

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Change of hemodynamic parameters (heart contractility: CFI)	Change from Baseline Cardiac function index (CFI; L/min) at 6 hours. Cardiac function index (CFI; L/min) will be calculated by thermodilution method. PiCCO2 device (Pulsion Medical Systems, Munich, Germany)	Baseline, 6 hours
Primary	Change of hemodynamic parameters (preload: GEDI)	Change from Baseline Global end-diastolic index (GEDI; mL/m2) at 6 hours. Global end-diastolic index (GEDI; mL/m2) will be calculated by thermodilution method. PiCCO2 device (Pulsion Medical Systems, Munich, Germany).	Baseline, 6 hours
Primary	Change of hemodynamic parameters (afterload: SVRI)	Change from Baseline Systemic vascular resistance index (SVRI; dynes x sec x cm-5/m2) at 6 hours. Systemic vascular resistance index (SVRI; dynes x sec x cm-5/m2) will be calculated by thermodilution method. PiCCO2 device (Pulsion Medical Systems, Munich, Germany).	Baseline, 6 hours
Primary	Change of hemodynamic parameters (fluid responsiveness: SVV)	Change from Baseline Stroke volume variation (SVV, %) at 6 hours. Stroke volume variation (SVV, %) will be calculated spontaneously by PiCCO2 device (Pulsion Medical Systems, Munich, Germany).	Baseline, 6 hours, one day, and 3 days
Primary	Change of hemodynamic parameters (lung water: ELWI)	Change from Baseline Extravascular lung water index (EVLWI; mL/kg) at 6 hours. Extravascular lung water index (EVLWI; mL/kg) will be calculated by the PiCCO device (Pulsion Medical Systems, Munich, Germany). EVLWI means total water in lung tissue, it increase in pulmonary edema or ARDS. PVPI means pulmonary vascular permeability and always high in ARDS (acute respiratory distress syndrome)	Baseline, 6 hours
Primary	Change of hemodynamic parameters (lung permeability: PVPI)	Change from Baseline pulmonary vascular permeability index (PVPI; ratio) at 6 hours. pulmonary vascular permeability index (PVPI) will be calculated by the PiCCO device (Pulsion Medical Systems, Munich, Germany). EVLWI means total water in lung tissue, it increase in pulmonary edema or ARDS. PVPI means pulmonary vascular permeability and always high in ARDS (acute respiratory distress syndrome)	Baseline, 6 hours
Secondary	Autophagy biomarkers in exosomes: LC3II (Western blots)	LC3II appear during phagosome-lysomone fusion. Exosome will be collected from serum of sepsis. LC3II will be detected and identified by Western blots.	6 hours
Secondary	Autophagy biomarkers in exosomes: LC3II (NTA)	LC3II appear during phagosome-lysomone fusion. Exosome will be collected from serum of sepsis. Later, LC3II will be marked and combined analysis by Nanoparticle tracing analysis. Concentrations (particles/mL) by size (nm) or Intensity (a.u.) by size (nm)	6 hours
Secondary	Autophagy modifiers in exosomes: mTOR (Western blots)	mammalian target of rapamycin (mTOR) may modulate the process of autophagy. Exosome will be collected from serum of sepsis. mTOR will be detected and identified by Western blots.	6 hours
Secondary	Autophagy modifiers in exosomes: mTOR (NTA)	mammalian target of rapamycin (mTOR) may modulate the process of autophagy. Exosome will be collected from serum of sepsis. mTOR will be marked and combined analysis by Nanoparticle tracing analysis. Concentrations (particles/mL) by size (nm) or Intensity (a.u.) by size (nm)	6 hours
Secondary	Autophagy modifiers in exosomes: HSP70 (Western blots)	heat-shock protein 70 (HSP70) may modulate the process of autophagy. Exosome will be collected from serum of sepsis. HSP70 will be detected and identified by Western blots.	6 hours
Secondary	Autophagy modifiers in exosomes: HSP70 (NTA)	heat-shock protein 70 (HSP70) may modulate the process of autophagy. Exosome will be collected from serum of sepsis. Later, HSP70 will be marked and combined analysis by Nanoparticle tracing analysis. Concentrations (particles/mL) by size (nm) or Intensity (a.u.) by size (nm)	6 hours
Secondary	Autophagy modifiers in exosomes: sequestosome 1 (Western blots)	sequestosome 1 (SQSMT1/p62) may modulate the process of autophagy. Exosome will be collected from serum of sepsis. sequestosome 1 will be detected and identified by Western blots.	6 hours
Secondary	Autophagy modifiers in exosomes: sequestosome 1 (NTA)	sequestosome 1 (SQSMT1/p62) may modulate the process of autophagy. Exosome will be collected from serum of sepsis. Later, sequestosome 1 will be marked and combined analysis by Nanoparticle tracing analysis. Concentrations (particles/mL) by size (nm) or Intensity (a.u.) by size (nm)	6 hours
Secondary	Exosomes marker: CD9 (Western blots)	CD9 is the exosome surface marker. Exosome will be collected from serum of sepsis. CD9 will be detected and identified by Western blots.	6 hours
Secondary	Exosomes marker: CD9 (NTA)	CD9 is the exosome surface marker. Exosome will be collected from serum of sepsis. Later, CD9 will be marked and combined analysis by Nanoparticle tracing analysis. Concentrations (particles/mL) by size (nm) or Intensity (a.u.) by size (nm)	6 hours
Secondary	ICU mortality	ICU mortality (%), mortality during ICU admission/total ICU admission	Up to 30 days
Secondary	28-day mortality	28-day mortality (%), mortality during 28-day/total 28-day admission	Up to 28 days
Secondary	Hospital mortality	Hospital mortality (%), mortality during hospitalizaiton/total hospital admission	Up to 90 days
Secondary	Length of stay in ICU	Length of stay in ICU (days)	Up to 30 days
Secondary	Length of stay in hospital	Length of stay in hospital (days)	Up top 90 days