Anti-obesity effects of galla rhois via genetic regulation of adipogenesis

Kombucha inhibits adipogenesis and promotes lipolytic activity in 3T3-L1 adipocytes

This research was conducted to investigate the anti-obesity effects of black tea or green tea kombucha (BK, GK) and compared their compositional differences. As a result of kombucha treatment during the adipocyte differentiation process, peroxisome proliferator-activated receptor γ was significantly decreased, and CCAAT/enhancer binding protein α and adipocyte protein 2 showed a tendency to decrease with BK treatment. Oil red O staining results also demonstrated a reduction of lipid accumulation by BK treatment compared to the control. In mature adipocytes, BK significantly upregulated the gene expression of hormone-sensitive lipase and tended to increase the expression of adipose triglyceride lipase and adiponectin. Additionally, as a biomarker of lipolysis, glycerol content also marginally increased with either BK or GK treatment. The differences were observed in tea polyphenol compound and organic acid contents between BK and GK. In conclusion, these results suggest that black tea kombucha may have anti-obesity activity.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10068-024-01740-8.

Whole genome sequencing of mouse lines divergently selected for fatness (FLI) and leanness (FHI) revealed several genetic variants as candidates for novel obesity genes

BACKGROUND

Analysing genomes of animal model organisms is widely used for understanding the genetic basis of complex traits and diseases, such as obesity, for which only a few mouse models exist, however, without their lean counterparts.

OBJECTIVE

To analyse genetic differences in the unique mouse models of polygenic obesity (Fat line) and leanness (Lean line) originating from the same base population and established by divergent selection over more than 60 generations.

METHODS

Genetic variability was analysed using WGS. Variants were identified with GATK and annotated with Ensembl VEP. g.Profiler, WebGestalt, and KEGG were used for GO and pathway enrichment analysis. miRNA seed regions were obtained with miRPathDB 2.0, LncRRIsearch was used to predict targets of identified lncRNAs, and genes influencing adipose tissue amount were searched using the IMPC database.

RESULTS

WGS analysis revealed 6.3 million SNPs, 1.3 million were new. Thousands of potentially impactful SNPs were identified, including within 24 genes related to adipose tissue amount. SNP density was highest in pseudogenes and regulatory RNAs. The Lean line carries SNP rs248726381 in the seed region of mmu-miR-3086-3p, which may affect fatty acid metabolism. KEGG analysis showed deleterious missense variants in immune response and diabetes genes, with food perception pathways being most enriched. Gene prioritisation considering SNP GERP scores, variant consequences, and allele comparison with other mouse lines identified seven novel obesity candidate genes: 4930441H08Rik, Aff3, Fam237b, Gm36633, Pced1a, Tecrl, and Zfp536.

CONCLUSION

WGS revealed many genetic differences between the lines that accumulated over the selection period, including variants with potential negative impacts on gene function. Given the increasing availability of mouse strains and genetic polymorphism catalogues, the study is a valuable resource for researchers to study obesity.