The purpose of this study was to explore the correlation between postoperative recovery of liver function and gut microbiota in patients with hepatocellular carcinoma (HCC). Liver resection patients were divided into the recovery group and the recovery delay group according to the recovery level of liver function on the fifth day after the operation. Benign liver disease was used as a control. Statistical analysis was performed to compare the differences in gut microbiota between the three groups. Then, fecal microbiota transplantation was performed in a mouse hepatectomy model. Through this study, the investigators hope to understand the relationship between gut microbiota and postoperative recovery of liver function in patients with hepatocellular carcinoma, so as to provide a new therapeutic direction for patients in the aspect of perioperative liver function recovery.
Primary hepatocellular carcinoma (HCC) is one of the most common malignant tumors in the world. At present, surgery is the first choice and the most effective way to treat it. Based on the case review, the investigators found that the recovery rate of perioperative liver function was correlated with survival. Therefore, it is of great clinical significance to improve the recovery rate of postoperative liver function. Gut microbiota participate in many physiological activities of human body, such as metabolic regulation, immune homeostasis and hormone regulation. However, gut microbiota imbalance, excessive growth of pathogenic microorganisms and changes in intestinal mucosal permeability lead to intestinal bacterial ectopia and bacterial metabolites entering the liver through enterohepatic circulation. The continuous inflammatory stimulation aggravate the progress of liver disease. Therefore, it is helpful to explore the influence of gut microbiota on postoperative liver function recovery and find out the different microbiota, in order to improve the postoperative liver function recovery rate, shorten the perioperative hospital stay and prolong the survival of patients. According to the recovery level of liver function on the fifth day after the operation, liver resection patients on HCC were divided into the recovery group and the recovery delay group which comparing on the time point of before the surgery and five days after the surgery. The patients on benign liver disease were used as a control. The investigators attempt to identify the differential microbiota and validate this finding in a mouse hepatectomy model.
Study Type
OBSERVATIONAL
Enrollment
200
The hepatic surgery of Tongji hospital
Wuhan, Hubei, China
Diversity analysis
We will use 16S rRNA sequencing to measure fecal sample. The alpha and beta diversity of gut microbiota between the groups will be analyzed, including a series of statistical analysis indexes such as Chao, Shannon, Simpsonace, Simpson and Coverage, in order to reflect the microbial community diversity.
Time frame: Before the surgery
Diversity analysis
We will use 16S rRNA sequencing to measure fecal sample. The alpha and beta diversity of gut microbiota between the groups will be analyzed, including a series of statistical analysis indexes such as Chao, Shannon, Simpsonace, Simpson and Coverage, in order to reflect the microbial community diversity.
Time frame: Five days after the surgery
Species composition analysis
We will use 16S rRNA sequencing to measure fecal sample. Based on the results of species annotation, the community histogram, the community heatmap and the Wayne map will be used to analyze the species composition of the sample, in order to explore the relationship between the species and the sample, and analyze the key microflora in the sample.
Time frame: Before the surgery
Species composition analysis
We will use 16S rRNA sequencing to measure fecal sample. Based on the results of species annotation, the community histogram, the community heatmap and the Wayne map will be used to analyze the species composition of the sample, in order to explore the relationship between the species and the sample, and analyze the key microflora in the sample.
Time frame: Five days after the surgery
Species differential analysis
We will use 16S rRNA sequencing to measure fecal sample. Based on the results of species annotation, the PCA、PCoA and NMDS analysis will be used to assess the similarities and differences in species composition between groups. To further screen the species with significant differences, the LEfSe difference discriminant analysis will be used.
Time frame: Before the surgery
Species differential analysis
We will use 16S rRNA sequencing to measure fecal sample. Based on the results of species annotation, the PCA、PCoA and NMDS analysis will be used to assess the similarities and differences in species composition between groups. To further screen the species with significant differences, the LEfSe difference discriminant analysis will be used.
Time frame: Five days after the surgery
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