Glucocorticoid treatment facilitates development of a metabolic syndrome in ovariectomized Macaca Mulatta fed a high fat diet

Li, Linzhao; Yang, Guang; Liao, Guangneng; Mei, Jie; Li, Lan; Wang, Chengshi; Yuan, Yujia; Shi, Yujun; Liu, Jingping; Zhong, Zhihui; Cheng, Jun; Liu, Yanrong; Clarke, I. J.; Chen, Younan

doi:10.1016/j.steroids.2017.09.005

Cited by 4 publications

(3 citation statements)

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“…Some studies have also reported that the activation of MAPK can enhance the occurrence of MetS components, such as insulin resistance and obesity [ 27 , 28 ]. Moreover, steroid hormone stimulus was found in both clinical and experimental studies and it has crucial effects on the progression of MetS [ 29 , 30 ]. Furthermore, the results of the cellular component enrichment analysis in our study indicated that these DEMs may be associated with cellular components, such as endosomal parts, endosome membranes, and early endosomes.…”

Section: Discussionmentioning

confidence: 99%

MicroRNA expression profile and identification of novel microRNA biomarkers for metabolic syndrome

et al. 2021

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The lack of efficient biomarkers is the main reason for the inaccurate early diagnosis and poor treatment outcomes of patients with metabolic syndrome (MetS). The current study aimed to identify several novel microRNA (miRNA) biomarkers for metabolic syndrome via high-throughput sequencing and comprehensive bioinformatics analysis. Through high-throughput sequencing and differentially expressed miRNA (DEM) analysis, we first identified two upregulated and 36 downregulated DEMs in the plasma samples of patients with MetS compared to the healthy volunteers. Additionally, we also predicted 379 potential target genes and subsequently carried out enrichment analysis and protein-protein interaction network analysis to investigate the signaling pathways and functions of the identified DEMs as well as the interactions between their target genes. Furthermore, we selected two upregulated and top 10 downregulated DEMs with the highest |log2FC| values as the key microRNAs, which may serve as potential biomarkers for MetS. RT-qPCR was performed to validated these result. Finally, hsa-miR-526b-5p, hsa-miR -6516-5p was identified as the novel biomarkers for MetS.

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Section: Discussionmentioning

confidence: 99%

MicroRNA expression profile and identification of novel microRNA biomarkers for metabolic syndrome

et al. 2021

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“…However, patients with high corticosteroid levels may suffer from a variety of diseases, including obesity and dyslipidemia. For example, one study reported that 7 weeks of dexamethasone treatment facilitated diet-induced dyslipidemia [ 31 , 32 ]. Another population based study showed that low-dose short-term corticosteroids markedly affect plasma lipid levels [ 33 ].…”

Section: Discussionmentioning

confidence: 99%

Association between chronic obstructive pulmonary disease and serum lipid levels: a meta-analysis

et al. 2018

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BackgroundMetabolic syndrome is a common extrapulmonary comorbidity in patients with chronic obstructive pulmonary disease (COPD). However, the reported relationship of COPD with dyslipidemia, an important component of metabolic syndrome, is ambiguous. The aim of this meta-analysis is to investigate the association between COPD and the serum levels of high-density lipoprotein cholesterol (HDL), low-density lipoprotein cholesterol (LDL), total cholesterol (TC), and triglyceride (TG).MethodsThe PubMed and Embase databases were searched to find potential studies using the search terms of (“dyslipidemia” or “HDL” or “LDL” or “cholesterol” or “triglyceride”) and COPD. We also performed subgroup analysis enrolling patients who were not receiving treatment for dyslipidemia. Mean differences (MD) with 95% confidence intervals (CI) were estimated with random effects models.ResultsA total of 11 studies comprising 615 cases and 471 controls were included in the study. No significant differences were found in the HDL (MD = −2.55, 95% CI [−6.03, 0.93], P = 0.15), LDL (MD = −2.25, 95% CI [−13.36, 8.86], P = 0.69), TC (MD = −2.69, 95% CI [−13.30, 7.92], P = 0.62), and TG (MD = 6.90, 95% CI [−2.81, 16.60], P = 0.16) levels of the 2 groups. However, subgroup analysis enrolling patients who were not receiving treatment for dyslipidemia showed that TG levels were higher in patients with stable COPD than in healthy individuals (MD = 16.35, 95% CI [5.90, 26.80], P = 0.002).ConclusionsExcluding the impact of hypolipidemic treatment on serum lipid profile, TG levels were higher in patients with COPD than in healthy individuals. This meta-analysis suggested that physicians should screen COPD patients for elevated TG levels to reduce the risk of cardiovascular morbidity and mortality.

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“…In fact, several studies have utilized hunger in nonhuman primates to investigate economic preference [ 26 ], olfactory and visual representation [ 27 ], hypothalamic circuitry [ 28 , 29 ], and correlation with other brain areas [ 30 , 31 ]. When considering palatability, various studies utilizing high-fat or high-sugar foods have provided valuable information regarding how palatability impacts changes in internal states [ [32] , [33] , [34] , [35] , [36] ]. Therefore, hunger and palatability are useful components for validating the efficacy and utility of tools to investigate eating behavior.…”

Section: Introductionmentioning

confidence: 99%

Development of an assessment method for freely moving nonhuman primates’ eating behavior using manual and deep learning analysis

Ha,

Kim,

Yeo

et al. 2024

Heliyon

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Glucocorticoid treatment facilitates development of a metabolic syndrome in ovariectomized Macaca Mulatta fed a high fat diet

Cited by 4 publications

References 35 publications

MicroRNA expression profile and identification of novel microRNA biomarkers for metabolic syndrome

MicroRNA expression profile and identification of novel microRNA biomarkers for metabolic syndrome

Association between chronic obstructive pulmonary disease and serum lipid levels: a meta-analysis

Development of an assessment method for freely moving nonhuman primates’ eating behavior using manual and deep learning analysis

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