Objective:There is no standard method for esophageal remnant gastric reconstruction for proximal gastrectomy. Reflux esophagitis caused by esophagogastrostomy remains a difficult surgical problem. To report the preliminary surgical results of novel esophagus-conical remnant gastric side overlap anastomosis (CGEO) , with particular emphasis on postoperative esophageal reflux.Methods:In June 2022, we developed a novel CGEO for laparoscopic proximal gastrectomy on two patients with Siewert type II esophagogastric junction adenocarcinoma. Surgical procedures for CGEO: (1) Laparoscopic proximal gastrectomy and preparation of conically shaped gastric remnant; (2) Determining anastomotic site of residual stomach and esophagus; (3) Side-to-side anastomosis of right esophageal wall to anterior of conical gastric remnant; (4) Valvuloplasty of esophageal stump.Results:Case 1 was a 71-year-old man with an operation time of 305 minutes and was successfully discharged from the hospital on the 9th day after surgery, and the postoperative pathology was T3N0M0. Case 2 was an 82-year-old man with an operation time of 325 minutes. He was discharged on the 10th day after surgery. In both cases, only mild esophageal mucosal changes were seen in gastroscopy, there were no obvious symptoms of esophageal reflux. There was also no significant weight change at half a year after operation.Conclusion:CGEO is moderately safe in radical surgery for proximal gastric cancer, and may have a preventive effect on the occurrence of postoperative esophageal reflux, but long-term results need to be confirmed by further studies with follow-up.

Objective:There is no standard method for esophageal remnant gastric reconstruction for proximal gastrectomy. Reflux esophagitis caused by esophagogastrostomy remains a difficult surgical problem. To report the preliminary surgical results of novel esophagus-conical remnant gastric side overlap anastomosis (CGEO) , with particular emphasis on postoperative esophageal reflux.Methods:In June 2022, we developed a novel CGEO for laparoscopic proximal gastrectomy on two patients with Siewert type II esophagogastric junction adenocarcinoma. Surgical procedures for CGEO: (1) Laparoscopic proximal gastrectomy and preparation of conically shaped gastric remnant; (2) Determining anastomotic site of residual stomach and esophagus; (3) Side-to-side anastomosis of right esophageal wall to anterior of conical gastric remnant; (4) Valvuloplasty of esophageal stump.Results:Case 1 was a 71-year-old man with an operation time of 305 minutes and was successfully discharged from the hospital on the 9th day after surgery, and the postoperative pathology was T3N0M0. Case 2 was an 82-year-old man with an operation time of 325 minutes. He was discharged on the 10th day after surgery. In both cases, only mild esophageal mucosal changes were seen in gastroscopy, there were no obvious symptoms of esophageal reflux. There was also no significant weight change at half a year after operation.Conclusion:CGEO is moderately safe in radical surgery for proximal gastric cancer, and may have a preventive effect on the occurrence of postoperative esophageal reflux, but long-term results need to be confirmed by further studies with follow-up.

The development and implement of microbial chassis cells can provide excellent cell factories for diverse industrial applications, which help achieve the goal of environmental protection and sustainable bioeconomy. The synthetic biology strategy of Design-Build-Test-Learn (DBTL) plays a crucial role on rational and/or semi-rational construction or modification of chassis cells to achieve the goals of "Building to Understand" and "Building for Applications". In this review, we briefly comment on the technical development of the DBTL cycle and the research progress of a few model microorganisms. We mainly focuse on non-model bacterial cell factories with potential industrial applications, which possess unique physiological and biochemical characteristics, capabilities of utilizing one-carbon compounds or of producing platform compounds efficiently. We also propose strategies for the efficient and effective construction and application of synthetic microbial cell factories securely in the synthetic biology era, which are to discover and integrate the advantages of model and non-model industrial microorganisms, to develop and deploy intelligent automated equipment for cost-effective high-throughput screening and characterization of chassis cells as well as big-data platforms for storing, retrieving, analyzing, simulating, integrating, and visualizing omics datasets at both molecular and phenotypic levels, so that we can build both high-quality digital cell models and optimized chassis cells to guide the rational design and construction of microbial cell factories for diverse industrial applications.
Bacteria/genetics* ; Metabolic Engineering ; Synthetic Biology