Post-operative Ileus
Conditions
Keywords
Post-operative Ileus, Gut Microbiota, perioperative period
Brief summary
Postoperative ileus (POI) is a common clinical condition after abdominal surgical procedure, leading to increased patient morbidity and prolonged hospitalisation.The mechanism of POI is not very clear until now. At the end of the 20th century, the inflammatory-mediated ileus hypothesis was introduced. But the initial trigger of the inflammatory cascade is unclear.Previous study demonstrate a clear association between colonic transit time, gut microbiota composition and urinary metabolic phenotype. Here the investigators suggest that the perioperative gut microbiota may contribute to POI.
Detailed description
Postoperative ileus (POI) is a common clinical condition after abdominal surgical procedure, leading to increased patient morbidity and prolonged hospitalisation. The clinical manifestations include abdominal distension, nausea, vomiting and the inability to pass stools or tolerate a solid diet. In addition to the discomfort experienced by patients, postoperative ileus is also an important risk factor for complications such as wound dehiscence and pulmonary and thromboembolic complications. Ileus was found to be an important predictor of extended postoperative hospital stays and costs in patients undergoing colectomy. The mechanism of POI is not very clear until now. At the end of the 20th century, the inflammatory-mediated ileus hypothesis was introduced. But the initial trigger of the inflammatory cascade is unclear The innate immune system recognises two large classes of macromolecules: first, those related to pathogens or pathogen-associated molecular patterns (PAMPs), and secondly, molecules released in response to cell damage or damage-associated molecular patterns (DAMPs). The prototype of PAMPs is lipopolysaccharide (LPS), a constituent of the Gram-negative bacterial cell wall. Translocation of microbial products into the intestinal tissue is a well-documented feature in POI. Previous study demonstrate a clear association between colonic transit time, gut microbiota composition and urinary metabolic phenotype. Here the investigators suggest that the perioperative microbiome may contribute to POI. This study apply NGS(next generation sequencing) technique to analyse the composition of the perioperative gut microbiota of CRC(colorectal cancer) patients, then analysis the relationship between the dynamic variation of gut microbiota and POI.
Interventions
OTHERFecal and blood samples collection for analysis
Fecal sample analysis will consist of the following procedure : Microbial DNA extraction, amplicon library construction, sequencing and analysis; Clustering MiSeq reads into operational taxonomic units (OTUs).
Sponsors
First Affiliated Hospital of Harbin Medical University
Study design
Observational model
CASE_CONTROL
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
35 Years to 80 Years
Healthy volunteers
No
Inclusion criteria
* Requirements of informed consent and assent of participant, parent or legal guardian as applicable * Patients with colorectal cancer scheduled for radical coloproctectomy and between the age of 35 and 80 years old without considering sex. * Patients with BMI= 18.5-23.9
Exclusion criteria
* Patients with colorectal cancer with distant metastasis * Chronic renal diseases and hepatic cirrhosis * Chronic ischemic heart disease with unstable angina, chronic heart failure at class III or IV and acute myocardial infarction in the last 6 months * Individuals with a history of Chronic diarrhea * Individuals with a history of Diabetes mellitus * Individuals with a history of Hypertension * Individuals with a history of autoimmune diseases * Use of antibiotics and probiotics 3 mouth before samples collection * Individuals with a history of abdominal operation due to any reason * Individuals with any history of cancer other than colorectal cancer * Individuals with Inflammatory bowel disease
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Change in gut microbiome dynamics in colorectal cancer patients during the perioperative period between two groups | The day before operation day, the first to the 10th day after operation (everyday the patient's faeces will be collected for microbiome analysis, if the patient has no faeces,we will skip that day to next day for fecal collection) | The diversity, structure of fecal microbiota and relative abundance of special bacterial taxa 16S rRNA gene sequencing will be performed. |
| The time ranging from operation day to the day of first defecation | Up to 10 days | The recovery of gut transit can be indicated by the first defecation |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Concentration of plasma i-FABP(intestinal fatty acid-binding protein) | The day before operation day, every day from first to fifth post-operative day | The detection of i-FABP is useful to determine localized changes in intestinal damage. |
| Concentration of plasma LPS | The day before operation day, every day from first to fifth post-operative day | The presence of lipopolysaccharide (LPS) has been used as an indirect measurement of bacterial translocation and systemic exposure to bacteria. |
| Concentration of fecal LPS | The day before operation day, the first to the 10th day after operation (everyday the patient's faeces will be collected for microbiome analysis, if the patient has no faeces,we will skip that day to next day for fecal collection) | LPS was derived from gram-negative bacteria in the intestinal tract, and LPS in blood was derived from feces. |
| Concentration of fecal calprotectin | The day before operation day, the first to the 10th day after operation (everyday the patient's faeces will be collected for microbiome analysis, if the patient has no faeces,we will skip that day to next day for fecal collection) | Fecal calprotectin is not only an indicator of intestinal inflammation, but also an indicator of intestinal mucosal barrier. |
Countries
China
Contacts
Primary ContactYunwei Wei, professor
Backup ContactYang Liu, assistant research fellow
Outcome results
None listed