Clinical

Dataset Information

0

Effect of General Anesthesia and Mechanical Ventilation on Plasma Metabolite in Patient With Colorectal Cancer Resection


ABSTRACT: 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.

DISEASE(S): Metabolomics,Colorectal Neoplasms

PROVIDER: 2243186 | ecrin-mdr-crc |

REPOSITORIES: ECRIN MDR

Similar Datasets

| PRJNA865101 | ENA
2023-04-12 | GSE228739 | GEO
2017-02-17 | GSE78008 | GEO
2020-11-08 | GSE156028 | GEO
2007-07-20 | E-GEOD-2368 | biostudies-arrayexpress
| PRJNA1022012 | ENA
2005-03-08 | GSE2368 | GEO
2009-11-23 | E-GEOD-18341 | biostudies-arrayexpress
2021-04-24 | GSE173238 | GEO
2024-11-04 | GSE217324 | GEO