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Clinical Trial Details — Status: Active, not recruiting

Administrative data

NCT number NCT03137628
Other study ID # XH-17-005
Secondary ID
Status Active, not recruiting
Phase N/A
First received April 24, 2017
Last updated April 28, 2017
Start date March 20, 2017
Est. completion date May 15, 2017

Study information

Verified date April 2017
Source Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
Contact n/a
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

As a newly developed subject, metabolomics can detect accurately and quantitatively small molecule metabolites such as proteins, carbohydrates and lipids from plasma, tissue and even single cell, which aims to analyze systemic dynamic change during physiological and pathological processes, and thus reveals certain reactions that whole organism responds to specific stimulation.

Colorectal cancer is one of common gastrointestinal tumors, whose morbidity rate tends to increase in recent years for modern diet and life style, and colectomy serves as one standard treatment for it. Under total stimulation of surgical operation, general anesthesia and mechanical ventilation, a series of stress reactions happen complicatedly to colorectal patients during anesthesia-ventilation process. Without timely recognition and management of adverse reactions, side effects like hypoxemia, hemorrhage, inflammation, and even death will happen intraoperatively or postoperatively.

With different metabolomics methods applied to collect, detect and analyze blood samples, metabolomics provides an innovatory approach to elucidate systemic response during anesthesia-colectomy process with multi-factors included. By analyzing and comparing dramatic alteration of small molecule metabolites in colorectal cancer patients' or healthy controls' plasma in this project, data can reflect the influence of certain disease (colorectal cancer), anesthetics and mechanical ventilation on colorectal patients with colectomy, which is helpful for prevention and treatment of intraoperative and postoperative complications.


Description:

Nowadays, more and more attention are paid to system biology and its relative techniques, such as gene sequencing,nuclear magnetic resonance, mass spectrometry and so on. As a newly developed subject, metabolomics can detect accurately and quantitatively small molecule metabolites such as proteins, carbohydrates and lipids from plasma, tissue and even single cell, which aims to analyze systemic dynamic change during physiological and pathological processes, and thus reveals certain reactions that whole organism responds to specific stimulation.

Colorectal cancer is one of common gastrointestinal tumors, whose morbidity rate tends to increase in recent years for modern diet and life style, and colectomy serves as one standard treatment for it. Under total stimulation of surgical operation, general anesthesia and mechanical ventilation, a series of stress reactions happen complicatedly to colorectal patients during anesthesia-ventilation process. Without timely recognition and management of adverse reactions, side effects like hypoxemia, hemorrhage, inflammation, and even death will happen intraoperatively or postoperatively.

With different metabolomics methods applied to collect, detect and analyze blood samples, metabolomics provides an innovatory approach to elucidate systemic response during anesthesia-colectomy process with multi-factors included. By analyzing and comparing dramatic alteration of small molecule metabolites in colorectal cancer patients' or healthy controls' plasma in this project, data can reflect the influence of certain disease (colorectal cancer), anesthetics and mechanical ventilation on colorectal patients with colectomy, which is helpful for prevention and treatment of intraoperative and postoperative complications.


Recruitment information / eligibility

Status Active, not recruiting
Enrollment 80
Est. completion date May 15, 2017
Est. primary completion date May 5, 2017
Accepts healthy volunteers
Gender All
Age group 20 Years to 55 Years
Eligibility Inclusion Criteria:

- Colorectal cancer patients inclusion criteria: undergo elective colectomy with general anesthesia and mechanical ventilation lasting for > 3.5 hours; classified as physical status I to III according to the American Society of Anesthesiologists Physical Status Classification System; Written informed consent is approved.

- Healthy controls inclusion criteria: volunteers with regular physical examination in nearly three years;without chronic disease; without recent infection in three months; Written informed consent is approved.

Exclusion Criteria:

- Distant metastases; hemodilution with massive fluid supply; recent anaesthetics or mechanical ventilation treatment;children;women during pregnancy or lactation; being involved in other clinical subjects.

Study Design


Related Conditions & MeSH terms


Intervention

Other:
colectomy, GA and MV
general anesthesia protocol: anesthesia induction (midazolam 0.1mg/kg, sufentanil 0.5ug/kg, etomidate 0.3mg/kg, cisatracurium 0.2mg/kg); anesthesia maintenance [sevoflurane 1.5-3%, cisatracurium 0.1mg/kg/h, sufentanil is supplemented during the entire surgical procedure according to patients' anesthetic situation, dexmedetomidine(used conditionally)0.4ug/kg/h]. mechanical ventilation protocol: tidal volume 6-8 ml/kg, positive end-expiratory pressure 5 cmH2O, oxygen concentration 40%; respiratory rate 10-15/min, inspiratory/expiratory ratio 1:1.5.

Locations

Country Name City State
China Department of Anesthesia, Shanghai Xinhua hospital Shanghai Shanghai

Sponsors (1)

Lead Sponsor Collaborator
Xinhua Hospital, Shanghai Jiao Tong University School of Medicine

Country where clinical trial is conducted

China, 

Outcome

Type Measure Description Time frame Safety issue
Primary metabolomics Thaw Frozen plasma, add methanol and shake. Isolate supernatant after centrifugation. Employ Globle LC-Q-TOF-MS profiling to analyze metabolites of plasma via an Agilent-1200 LC system, coupled with an electrospray Ionization source and an Agilent-6520 Q-TOF mass spectrometry. Utilize Agilent's Mass Hunter Qualitative Analysis Software to process the MS spectra for peak detection, and generate a list detected peak intensities with the retention time-m/z data pairs as identiers. Process integrated raw RHPLC-Q-TOF-MS data with Agilent Mass Hunter Qualitative Analysis and Mass Profiler software. Optimize and choose parameters as follows: the range of m/z values from 80 to 100, and peak filters set to centroid height with > 100 counts, and compound filters set the base peak to > 1000 counts. MHD files will be create, containing compound IDs, and further processing will be performed with Mass Profiler software, which aligns mass features across multiple LC-MS data files. Outcome measure will be assessed right after all samples are collected, which is expected to on May 5, 2017, and MHD files containing compound IDs, m/z values and so on will be reported about 10 days later.
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