Project Details
Abstract
Obesity and metabolic syndromes have been emerged as globally important issues and demonstrated to be closely associated with gut microbiota. Our previous studies indicate the high molecular weight polysaccharide fraction (H1) of Hirsutella sinensis mycelium (HSM) reduces obesity in high-fat diet (HFD)-fed mice. The effects of HSM-H1 are dependent on a commensal bacterium Parabacteroides goldsteinii. A novel P. goldsteinii strain MTS01 was further isolated. Multi-omic studies indicated that enhancement of intestinal mitochondrial and ribosomal activities, systematic modulation of host amino acids metabolism, and inhibition of peripheral inflammations in adipose tissues were the important ameliorative mechanism. Meanwhile, the lipopolysaccharide (LPS) derived from P. goldsteinii revealed an anti-inflammatory effect which could antagonize the inflammation induced by Escherichia coli LPS. In the present study, we plan to continue to characterize the underlying molecular mechanism of anti-obesogenic effect of P. goldsteinii, focusing on the role of the active component, LPS derived from P. goldsteinii MTS01 (Pg-LPS). Main research directions comprise: (1) to validate the ameliorative function of Pg-LPS. (2) to unravel how Pg-LPS ameliorates obesity. (3) to optimize the dosage and route of Pg-LPS administration. (4) to confirm the safety of Pg-LPS administration. This grant proposal will shed light on the anti-obesogenic mechanism of Pg-LPS. More importantly, the translational applications of Pg-LPS will evaluated. The potential probiotic and postbiotic will be developed for prevention and treatment of obese individual in the future.
Project IDs
Project ID:PC10907-1115
External Project ID:MOST109-2320-B182-034-MY3
External Project ID:MOST109-2320-B182-034-MY3
Status | Finished |
---|---|
Effective start/end date | 01/08/20 → 31/07/21 |
Keywords
- obesity
- Parabacteroides goldsteinii
- lipopolysaccharides
- anti-inflammation
- probiotics
- postbiotics
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.