Silencing of hypothalamic FGF11 prevents diet-induced obesity

Cho, Jae Hyun; Kim, Kyungchan; Cho, Han Chae; Lee, Jaemeun; Kim, Eun-Kyoung

doi:10.1186/s13041-022-00962-3

Cited by 4 publications

(3 citation statements)

References 66 publications

(92 reference statements)

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“…CCR2 [461], FASLG (Fas ligand) [462], CD28 [463], LYZ (lysozyme) [464], CCL5 [465], CCL3 [466], C6 [467], MSR1 [468], HGF (hepatocyte growth factor) [469], VEGFA (vascular endothelial growth factor A) [470], ADM (adrenomedullin) [471], CR2 [472], MAG (myelin associated glycoprotein) [473], CDH1 [474], OLIG2 [475], SEMA4D [476], ADAMTS4 [477], BMP2 [478], ERBB3 [479] and NKX2-2 [480] have been identified as a hub gene in spinal cord injury in several studies. CCR2 [481], FASLG (Fas ligand) [286], CD24 [482], CD28 [483], LYZ (lysozyme) [484], IL7R [485], CCL5 [486], LTF (lactotransferrin) [487], GPNMB (glycoprotein nmb) [488], CTLA4 [489], IRF4 [490], CHIT1 [491], NPY2R [492], TAB2 [131], CD52 [302], CD163 [493], MSR1 [306], HGF (hepatocyte growth factor) [494], TRPM8 [495], TTR (transthyretin) [496], F13A1 [497], ADM (adrenomedullin) [498], COL9A3 [499], ANGPTL4 [500], CHI3L1 [501], BMP8A [502], SREBF1 [503], CDKN1C [504], INSIG1 [505], ATF3 [506], HK2 [507], TF (transferrin) [508], MOG (myelin oligodendrocyte glycoprotein) [509], ADAMTS4 [510], BMP2 [511], HSPA2 [512], LMNA (lamin A/C) [330], HSD11B1 [513], NKX2-2 [514], NHLH2 [433], FGF11 [515], ASPA (aspartoacylase) [336], FASN (fatty acid synthase) [516], PNPLA3 [517], MMP15 [518], CBR1 [519], LRP2 [520], WNT7A [340], GPR142 [521], GPD1 [343], LIPE (lipase E, hormone sensitive type) [522], CNDP1 […”

Section: Discussionmentioning

confidence: 99%

Identification of candidate biomarkers and pathways associated with multiple sclerosis using bioinformatics and next generation sequencing data analysis

Vastrad,

Vastrad

2023

Preprint

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Multiple sclerosis (MS) is the main reason for disability caused by autoimmunity. However, effective biomarkers for MS have not been identified. This study explored the molecular mechanisms and potential therapeutic targets for MS occurrence and progression using bioinformatics and next generation sequencing (NGS) data analysis. NGS data GSE138614, including patients with MS and 25 normal control samples, were obtained from Gene Expression Omnibus (GEO) database Differentially expressed genes (DEGs) were filtered and subjected to gene ontology (GO) and pathway enrichment analyses. Protein–protein interaction (PPI) network and module analyses were performed based on the DEGs. MiRNA-hub gene regulatory network and TF-hub gene regulatory network analysis were built by Cytoscape to predict the underlying microRNAs (miRNAs) and transcription factors (TFs) associated with hub genes. We also validated the identified hub genes via receiver operating characteristic (ROC) curve analysis. A total of 959 DEGs (479 up regulated genes and 480 down regulated genes) were detected. The GO terms and pathways of DEGs involve immune system process, developmental process, immune system and regulation of cholesterol biosynthesis by SREBP (SREBF). The network analysis revealed that hub genes include LCK, PYHIN1, SLAMF1, DOK2, TAB2, CFTR, RHOB, LMNA, EGLN3 and ERBB3 might be involved in the development of MS. The present investigation illustrates a characteristic gene profile in MS, which might contribute to the interpretation of the progression of MS and provide novel biomarkers and therapeutic targets for MS.

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Section: Discussionmentioning

confidence: 99%

Identification of candidate biomarkers and pathways associated with multiple sclerosis using bioinformatics and next generation sequencing data analysis

Vastrad,

Vastrad

2023

Preprint

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“…Meanwhile, FGF11 regulated the expression of UCP1, which is located in the inner mitochondrial membrane of brown adipocytes, which can dissipate the energy stored in the mitochondrial electrochemical gradient as heat upon ATP synthesis [ 38 ]. A previous study has shown that inhibition of FGF11 in the hypothalamus prevented diet-induced obesity and enhanced BAT thermogenesis via the sympathetic nervous system [ 39 ]. In the present study, FGF11 promoted the expression of the UCP1 protein and an EBF2 element was responsible for UCP1 promoter activity.…”

Section: Discussionmentioning

confidence: 99%

Transcriptomic Analysis Reveals Fibroblast Growth Factor 11 (FGF11) Role in Brown Adipocytes in Thermogenic Regulation of Goats

Jiang

Liu

et al. 2023

IJMS

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Brown adipose tissue (BAT) is the main site of adaptive thermogenesis, generates heat to maintain body temperature upon cold exposure, and protects against obesity by promoting energy expenditure. RNA-seq analysis revealed that FGF11 is enriched in BAT. However, the functions and regulatory mechanisms of FGF11 in BAT thermogenesis are still limited. In this study, we found that FGF11 was significantly enriched in goat BAT compared with white adipose tissue (WAT). Gain- and loss-of-function experiments revealed that FGF11 promoted differentiation and thermogenesis in brown adipocytes. However, FGF11 had no effect on white adipocyte differentiation. Furthermore, FGF11 promoted the expression of the UCP1 protein and an EBF2 element was responsible for UCP1 promoter activity. Additionally, FGF11 induced UCP1 gene expression through promoting EBF2 binding to the UCP1 promoter. These results revealed that FGF11 promotes differentiation and thermogenesis in brown adipocytes but not in white adipocytes of goats. These findings provide evidence for FGF11 and transcription factor regulatory functions in controlling brown adipose thermogenesis of goats.

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“…Knockdown of FGF11 can significantly reduce mesangial cell proliferation and fibrosis in the progression of diabetic nephropathy[ 50 ]. Silencing FGF11 in the mouse hypothalamus can reduce HFD-induced body weight gain and fat accumulation by increasing brown adipose tissue thermogenesis and insulin intolerance[ 51 ]. In addition, FGF-11 regulates the differentiation and thermogenesis of brown adipocytes in goats[ 52 ].…”

Section: Fgfs Play An Important Role In Diabetes and Related Diseasesmentioning

confidence: 99%

Roles of fibroblast growth factors in the treatment of diabetes

Zhang,

Yang

2024

World J Diabetes

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Diabetes affects about 422 million people worldwide, causing 1.5 million deaths each year. However, the incidence of diabetes is increasing, including several types of diabetes. Type 1 diabetes (5%-10% of diabetic cases) and type 2 diabetes (90%-95% of diabetic cases) are the main types of diabetes in the clinic. Accumulating evidence shows that the fibroblast growth factor (FGF) family plays important roles in many metabolic disorders, including type 1 and type 2 diabetes. FGF consists of 23 family members (FGF-1-23) in humans. Here, we review current findings of FGFs in the treatment of diabetes and management of diabetic complications. Some FGFs (e.g., FGF-15, FGF-19, and FGF-21) have been broadly investigated in preclinical studies for the diagnosis and treatment of diabetes, and their therapeutic roles in diabetes are currently under investigation in clinical trials. Overall, the roles of FGFs in diabetes and diabetic complications are involved in numerous processes. First, FGF intervention can prevent high-fat diet-induced obesity and insulin resistance and reduce the levels of fasting blood glucose and triglycerides by regulating lipolysis in adipose tissues and hepatic glucose production. Second, modulation of FGF expression can inhibit renal and cardiac fibrosis by regulating the expression of extracellular matrix components, promote diabetic wound healing process and bone repair, and inhibit cancer cell proliferation and migration. Finally, FGFs can regulate the activation of glucose-excited neurons and the expression of thermogenic genes.

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Silencing of hypothalamic FGF11 prevents diet-induced obesity

Cited by 4 publications

References 66 publications

Identification of candidate biomarkers and pathways associated with multiple sclerosis using bioinformatics and next generation sequencing data analysis

Identification of candidate biomarkers and pathways associated with multiple sclerosis using bioinformatics and next generation sequencing data analysis

Transcriptomic Analysis Reveals Fibroblast Growth Factor 11 (FGF11) Role in Brown Adipocytes in Thermogenic Regulation of Goats

Roles of fibroblast growth factors in the treatment of diabetes

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