More insights into a human adipose tissue GPAT activity assay

Morgan‐Bathke, Maria; Chen, Liang; Oberschneider, Elisabeth; Harteneck, Debra A.; Jensen, Michael D.

doi:10.1080/21623945.2015.1068977

Cited by 6 publications

(4 citation statements)

References 10 publications

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“…In the process of preadipocyte differentiation, fatty acids, and lipid synthesis pathways, such as oxidative phosphorylation, pentose phosphate pathway, and triacylglycerol (TAG) synthesis pathway, play essential roles [24,25,26]. In these cellular bioprocesses, adenosine triphosphate synthase peripheral stalk-membrane subunit b (ATP5F1) is important for oxidative phosphorylation [25], G6PD is essential for pentose phosphate pathway [27], and GPAM, DGAT2, DCN, and LPL are the key regulators for TAG synthesis [28,29,30]. Although it is much clearer how these genes affect adipogenesis, the interactions between these pathways and miRNA networks are largely unknown.…”

Section: Introductionmentioning

confidence: 99%

Cooperative and Independent Functions of the miR-23a~27a~24-2 Cluster in Bovine Adipocyte Adipogenesis

Wang

Zhang

et al. 2018

IJMS

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The miR-23a~27a~24-2 cluster is an important regulator in cell metabolism. However, the cooperative and independent functions of this cluster in bovine adipocyte adipogenesis have not been elucidated. In this study, we found that expression of the miR-23a~27a~24-2 cluster was induced during adipogenesis and this cluster acted as a negative regulator of adipogenesis. miR-27a and miR-24-2 were shown to inhibit adipogenesis by directly targeting glycerol-3-phosphate acyltransferase, mitochondrial (GPAM) and diacylglycerol O-acyltransferase 2 (DGAT2), both of which promoted adipogenesis. Meanwhile, miR-23a and miR-24-2 were shown to target decorin (DCN), glucose-6-phosphate dehydrogenase (G6PD), and lipoprotein lipase (LPL), all of which repressed adipogenesis in this study. Thus, the miR-23a~27a~24-2 cluster exhibits a non-canonical regulatory role in bovine adipocyte adipogenesis. To determine how the miR-23a~27a~24-2 cluster inhibits adipogenesis while targeting anti-adipogenic genes, we identified another target gene, fibroblast growth factor 11 (FGF11), a positive regulator of adipogenesis, that was commonly targeted by the entire miR-23a~27a~24-2 cluster. Our findings suggest that the miR-23a~27a~24-2 cluster fine-tunes the regulation of adipogenesis by targeting two types of genes with pro- or anti-adipogenic effects. This balanced regulatory role of miR-23a~27a~24-2 cluster finally repressed adipogenesis.

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Section: Introductionmentioning

confidence: 99%

Cooperative and Independent Functions of the miR-23a~27a~24-2 Cluster in Bovine Adipocyte Adipogenesis

Wang

Zhang

et al. 2018

IJMS

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“…In this study, we show that the combined expression of ten lipid metabolism related genes (Lipid models) can predict the weight-loss status following long-term ( i.e ., 8 months) intervention up to a maximum AUC of 0.74. These models featured the genes including GPAM , DGAT2 and ELOVL6 which are involved in triacylglycerol synthesis and elongation ( Morgan-Bathke et al, 2015 ; Matsuzaka, 2021 ). The high-WL group showed relatively lower baseline expression across all these lipid metabolism genes, which indicate that individuals with a more active triacylglycerol formation in subcutaneous adipose tissue at baseline may have a worse chance of achieving long-term weight loss.…”

Section: Discussionmentioning

confidence: 99%

Baseline gene expression in subcutaneous adipose tissue predicts diet-induced weight loss in individuals with obesity

Oghabian

Kolk

Marttinen

et al. 2023

PeerJ

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Background Weight loss effectively reduces cardiometabolic health risks among people with overweight and obesity, but inter-individual variability in weight loss maintenance is large. Here we studied whether baseline gene expression in subcutaneous adipose tissue predicts diet-induced weight loss success. Methods Within the 8-month multicenter dietary intervention study DiOGenes, we classified a low weight-losers (low-WL) group and a high-WL group based on median weight loss percentage (9.9%) from 281 individuals. Using RNA sequencing, we identified the significantly differentially expressed genes between high-WL and low-WL at baseline and their enriched pathways. We used this information together with support vector machines with linear kernel to build classifier models that predict the weight loss classes. Results Prediction models based on a selection of genes that are associated with the discovered pathways ‘lipid metabolism’ (max AUC = 0.74, 95% CI [0.62–0.86]) and ‘response to virus’ (max AUC = 0.72, 95% CI [0.61–0.83]) predicted the weight-loss classes high-WL/low-WL significantly better than models based on randomly selected genes (P < 0.01). The performance of the models based on ‘response to virus’ genes is highly dependent on those genes that are also associated with lipid metabolism. Incorporation of baseline clinical factors into these models did not noticeably enhance the model performance in most of the runs. This study demonstrates that baseline adipose tissue gene expression data, together with supervised machine learning, facilitates the characterization of the determinants of successful weight loss.

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“…We speculated this is related with the lower expression of Dgat1 and Dgat2 (Nakamura et al, 2014). Fasn, GPAT and MTP are the crucial rate-limiting genes in the fatty acid and TG biosynthesis pathway (Iqbal et al, 2014;Morgan-Bathke et al, 2016), its mRNA expression was the highest in the HFD, while the lowest in HFD ? EY than in the other groups (p \ 0.01).…”

Section: Effect Of Egg Yolk Under Nd and Hfd On Hepatic Mrna Expressimentioning

confidence: 98%

Comparison of long-term effects of egg yolk consumption under normal and high fat diet on lipid metabolism and fatty acids profile in mice

Wang

et al. 2019

Food Sci Biotechnol

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This study compared the long-term effects of EY consumption under two diet conditions: normal (ND ? EY) and high fat diet (HFD ? EY), on lipid metabolism in mice. ND ? EY did not increase serum triglycerides, total cholesterol hepatic triglyceride concentrations, adipose tissue accumulation and glucose impairment, not leading to fatty liver. HFD ? EY markedly decreased adipose tissue accumulation, the triglyceride and total cholesterol, and improved serum HDL-C and blood glucose impairment compared with HFD. PLS-DA analyzes showed both ND ? EY and HFD ? EY could decrease serum C18:1 and MUFA. HFD ? EY could further decrease hepatic C18:2 and PUFA and increase C18:1 and MUFA excretion, which were associated with lower expression of Elovl6 and higher expression of Scd1 in liver. These results suggest that HFD ? EY significantly improved dyslipidemia caused by HFD through modifying lipid metabolism, and ND ? EY did not adversely affect the biomarkers associated with dyslipidemia risk, but showed less obvious regulation of lipid metabolism than HFD ? EY.

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More insights into a human adipose tissue GPAT activity assay

Cited by 6 publications

References 10 publications

Cooperative and Independent Functions of the miR-23a~27a~24-2 Cluster in Bovine Adipocyte Adipogenesis

Cooperative and Independent Functions of the miR-23a~27a~24-2 Cluster in Bovine Adipocyte Adipogenesis

Baseline gene expression in subcutaneous adipose tissue predicts diet-induced weight loss in individuals with obesity

Comparison of long-term effects of egg yolk consumption under normal and high fat diet on lipid metabolism and fatty acids profile in mice

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