Intermedin Inhibits the Ox-LDL–Induced Inflammation in RAW264.7 Cells by Affecting Fatty Acid–Binding Protein 4 Through the PKA Pathway

Liu, Kai; Shi, Rui; Wang, Si; Liu, Qi; Zhang, Hengyu; Chen, Xiaoping

doi:10.3389/fphar.2021.724777

Cited by 4 publications

(3 citation statements)

References 22 publications

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“…Elevated levels of circulating FABP4 are biomarkers associated with inflammation, hypertension, and cardiovascular incidents [ 41 ]. The mechanism of FABP4 in AS is its direct influence on lipid metabolism coupled with its capacity to mediate inflammatory reactions [ 42 ]. CSF3R (Colony Stimulating Factor 3 Receptor) acts as a receptor for colony stimulating factor 3, a cytokine responsible for the regulation of production and function of granulocytes.…”

Section: Discussionmentioning

confidence: 99%

Online application for the diagnosis of atherosclerosis by six genes

Zhao,

Chen,

Wei

et al. 2024

PLoS ONE

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Background Atherosclerosis (AS) is a primary contributor to cardiovascular disease, leading to significant global mortality rates. Developing effective diagnostic indicators and models for AS holds the potential to substantially reduce the fatalities and disabilities associated with cardiovascular disease. Blood sample analysis has emerged as a promising avenue for facilitating diagnosis and assessing disease prognosis. Nonetheless, it lacks an accurate model or tool for AS diagnosis. Hence, the principal objective of this study is to develop a convenient, simple, and accurate model for the early detection of AS. Methods We downloaded the expression data of blood samples from GEO databases. By dividing the mean values of housekeeping genes (meanHGs) and applying the comBat function, we aimed to reduce the batch effect. After separating the datasets into training, evaluation, and testing sets, we applied differential expression analyses (DEA) between AS and control samples from the training dataset. Then, a gradient-boosting model was used to evaluate the importance of genes and identify the hub genes. Using different machine learning algorithms, we constructed a prediction model with the highest accuracy in the testing dataset. Finally, we make the machine learning models publicly accessible by shiny app construction. Results Seven datasets (GSE9874, GSE12288, GSE20129, GSE23746, GSE27034, GSE90074, and GSE202625), including 403 samples with AS and 325 healthy subjects, were obtained by comprehensive searching and filtering by specific requirements. The batch effect was successfully removed by dividing the meanHGs and applying the comBat function. 331 genes were found to be related to atherosclerosis by the DEA analysis between AS and health samples. The top 6 genes with the highest importance values from the gradient boosting model were identified. Out of the seven machine learning algorithms tested, the random forest model exhibited the most impressive performance in the testing datasets, achieving an accuracy exceeding 0.8. While the batch effect reduction analysis in our study could have contributed to the increased accuracy values, our comparison results further highlight the superiority of our model over the genes provided in published studies. This underscores the effectiveness of our approach in delivering superior predictive performance. The machine-learning models were then uploaded to the Shiny app’s server, making it easy for users to distinguish AS samples from normal samples. Conclusions A prognostic Shiny application, built upon six potential atherosclerosis-associated genes, has been developed, offering an accurate diagnosis of atherosclerosis.

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Section: Discussionmentioning

confidence: 99%

Online application for the diagnosis of atherosclerosis by six genes

Zhao,

Chen,

Wei

et al. 2024

PLoS ONE

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“…Meanwhile, FSH-FSHR complex increases hepatic cholesterol synthesis through the p-Akt/SREBP2/HMGCR pathway. High levels of cholesterol, especially LDL-C and triglycerides, further activate the inflammatory response of adipocytes ( Liu et al, 2021 ; Santiago-Fernández et al, 2021 ).…”

Section: Potential Mechanisms By Which Fsh Impacts Fat Metabolismmentioning

confidence: 99%

Effects of follicle-stimulating hormone on fat metabolism and cognitive impairment in women during menopause

et al. 2022

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Lipid metabolism disorder is a common pathological manifestation of menopausal women, and is also an important risk factor for many diseases at this stage of life. Epidemiological studies have shown that high levels of follicle-stimulating hormone (FSH) in menopausal women are closely associated with changes in body composition, central obesity, and cognitive decline. Exogenous FSH causes growth and proliferation of adipose, whereas blockage of the FSH signaling pathway leads to decline in adipose. Mechanistically, FSH, FSH receptor (FSHR), G protein coupling, gene mutation and other pathways are involved in adipogenesis and cognitive impairment. Here, we review the critical role and potential interactions of FSH in adipogenesis and cognitive impairment in menopausal women. Further understanding of the exact mechanisms of FSH aggravating obesity and cognitive impairment may provide a new perspective for promoting healthy aging in menopausal women.

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“…The major proinflammatory mediators consist of nitric oxide (NO) and prostaglandin E2, which are produced by inducible NO synthase (iNOS) and cyclooxygenase-2, respectively [ 8 , 9 ]. LPS-treated macrophages induce tumor necrosis factor (TNF)-α and interleukin (IL)-1β, and these molecules contribute to various inflammatory diseases [ 10 , 11 ]. Furthermore, LPS-stimulated macrophages secrete proinflammatory cytokines and growth factors [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

Anti-Inflammatory Effects of (9Z,11E)-13-Oxooctadeca-9,11-dienoic Acid (13-KODE) Derived from Salicornia herbacea L. on Lipopolysaccharide-Stimulated Murine Macrophage via NF-kB and MAPK Inhibition and Nrf2/HO-1 Signaling Activation

Choi

Kim

et al. 2022

Antioxidants

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Glasswort (Salicornia herbacea L.) is a halophyte that exhibits antioxidant and antidiabetic effects. Only a few studies have been conducted on its antioxidant effects. Here, we isolated an antioxidant using an activity-based purification method, and the resulting compound was identified as (9Z,11E)-13-Oxooctadeca-9,11-dienoic acid (13-KODE). We investigated its ability to suppress inflammatory responses and the molecular mechanisms underlying these abilities using lipopolysaccharide-stimulated RAW 264.7 macrophage cells. We studied the anti-inflammatory effects of 13-KODE derived from S. herbacea L on RAW 264.7 macrophages. 13-KODE inhibited lipopolysaccharide (LPS)-induced nitric oxide (NO) production by suppressing inducible NO synthase and suppressed LPS-induced tumor necrosis factor and interleukin-1β expression in RAW 264.7 macrophages. LPS-mediated nuclear localization of NF-κB and mitogen-activated protein kinase activation were inhibited by 13-KODE. 13-KODE significantly reduced LPS-induced production of reactive oxygen species and increased the expression of nuclear factor erythroid-2 like 2 (Nfe2I2) and heme oxygenase 1. Overall, our results indicate that 13-KODE may have potential for treating inflammation.

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Intermedin Inhibits the Ox-LDL–Induced Inflammation in RAW264.7 Cells by Affecting Fatty Acid–Binding Protein 4 Through the PKA Pathway

Cited by 4 publications

References 22 publications

Online application for the diagnosis of atherosclerosis by six genes

Online application for the diagnosis of atherosclerosis by six genes

Effects of follicle-stimulating hormone on fat metabolism and cognitive impairment in women during menopause

Anti-Inflammatory Effects of (9Z,11E)-13-Oxooctadeca-9,11-dienoic Acid (13-KODE) Derived from Salicornia herbacea L. on Lipopolysaccharide-Stimulated Murine Macrophage via NF-kB and MAPK Inhibition and Nrf2/HO-1 Signaling Activation

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