2020
DOI: 10.1016/j.phymed.2020.153290
|View full text |Cite
|
Sign up to set email alerts
|

Cajanolactone A, a stilbenoid from cajanus cajan, prevents ovariectomy-induced obesity and liver steatosis in mice fed a regular diet

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 11 publications
(2 citation statements)
references
References 29 publications
0
2
0
Order By: Relevance
“…In our study, we observed higher Fabp3 levels in the ASO group compared to the Control group, aligning with previous findings 37 , indicating that the administration of ASO may improve the in vivo utilization rate of FAs. Furthermore, our results revealed elevated expression of Acsm5 in the ASO group compared to the Control group, which catalyzes the FAs by CoA to produce acyl-CoA as the first step in FAs metabolism 38 (Supplementary Fig. 2e ).…”
Section: Discussionmentioning
confidence: 68%
“…In our study, we observed higher Fabp3 levels in the ASO group compared to the Control group, aligning with previous findings 37 , indicating that the administration of ASO may improve the in vivo utilization rate of FAs. Furthermore, our results revealed elevated expression of Acsm5 in the ASO group compared to the Control group, which catalyzes the FAs by CoA to produce acyl-CoA as the first step in FAs metabolism 38 (Supplementary Fig. 2e ).…”
Section: Discussionmentioning
confidence: 68%
“…The combination of imaging techniques and proteomic analysis has allowed for the identification of abnormalities in axonal or vascular damage markers, metabolic anomalies, and mechanisms underlying brain injury or atrophy (Herman et al 2018 ; Wright et al 2019 ).Proteomic analysis in conjunction with postoperative MRI imaging has shown a correlation between levels of matrix metalloproteinases (MMPs) and tissue inhibitors of metalloproteinases (TIMPs) with clinical outcomes, ventricular dysfunction, and pulmonary artery remodeling (Schafer et al 2021 ). In addition, imaging techniques like MRI and CT can provide information about the body's fat compositions, and by combining imaging results with proteome analysis, potential agents like Cajanolactone A have been identified for preventing postmenopausal obesity and fatty liver (Luo et al 2020 ). Machine learning has been utilized to non-alcoholic fatty liver disease (NAFLD) and identify biological players in liver fat accumulation (Atabaki-Pasdar et al 2020 ).…”
Section: Applicationsmentioning
confidence: 99%