Publications by authors named "Shi Jing Lu"
Background: The body weight following bariatric surgery is a primary concern for both healthcare professionals and surgical candidates. However, it remains unclear whether variations in preoperative fat distribution influence weight loss outcomes.
Objective: The aim of this study was to evaluate the effect of abdominal fat distribution on postoperative weight loss and body mass index (BMI) reduction, and to clarify the role of different fat depots in weight loss outcomes.
Background/objective: Nowadays, increasing clinical evidence on metabolic and weight-loss effects of bariatric surgery on improving cardiac structure in obese patients, but its application in improving the cardiac function of HF (heart failure) patients remains controversial. The objective of this meta-analysis was to assess the effects of BS on cardiac function by quantifying the changes of LVEF (left ventricular ejection fraction) and NYHA (New York Heart Association classification) after operations in non-HFpEF (heart failure and preserved ejection fraction) patients.
Methods: Articles were searched using PubMed and Embase from inception to December 9, 2022, and the Minors scale was used for quality assessments.
Article Synopsis
- Researchers have developed methods to reconstruct genome-scale metabolic networks to enhance phenotypes through metabolic engineering, employing optimization algorithms to find the best gene knockouts for increased metabolite production.
- Previous studies faced issues like premature convergence and vague stopping criteria, prompting the introduction of a new hybrid algorithm combining ant colony optimization and flux balance analysis (ACOFBA) to better predict effective gene knockouts.
- Using Baker's yeast (Saccharomyces cerevisiae) as a model organism, the study focused on optimizing vanillin production, with ACOFBA showing improvements in both growth rate and vanillin yield compared to earlier methods.