The role of FoxO1 and its modulation with small molecules in the development of diabetes mellitus: A review

Nathanael, Joshua; Suardana, Putu; Vianney, Yoanes Maria; Putra, Sulistyo Emantoko Dwi

doi:10.1111/cbdd.13989

Cited by 9 publications

(5 citation statements)

References 168 publications

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“…The re-emergence of FOXO1 and PKD2 has caught our attention. The present study indicated that FOXO1 is strongly associated with glucose and lipid metabolism, especially in Diabetes mellitus type 2 [37] and NAFLD [38]. Furthermore, FOXO1 has been identi ed as a key factor in the progression of BC, serving as a bridge between miRNA, hormone, and drug therapy [39][40][41].…”

Section: Vasculature Development a Potential Common Stage For Bc And ...mentioning

confidence: 83%

Exploration of the Shared Gene and Molecular Mechanisms between Breast Cancer and Non-alcoholic Fatty Liver Disease Based on Available Public Transcriptome Sequencing Data

Chen,

Tian,

Qian

et al. 2023

Preprint

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Background: Breast cancer (BC) is one of the most common malignant tumors in women; its etiology is unknown. A meta-analysis demonstrates a close association between non-alcoholic fatty liver disease (NAFLD) and BC. However, the mechanism of their association remained unknown. The present study aimed to investigate the associations between BC and NAFLD. Method: The transcriptome sequence data on BC and NAFLD were downloaded from the The Cancer Genome Atlas Program (TCGA) and Gene Expression Omnibus (GEO) databases, respectively. The co-expression modules related to BC and NAFLD were identified using Weighted Gene Co-Expression Network Analysis (WGCNA). ClueGo software was used for enrichment analysis on BC and NAFLD common genes. Moreover, the common microRNAs (miRNAs) in BC and NAFLD were obtained from the Human microRNA Disease Database (HMDD), and the target genes of these miRNAs were predicted using the miRTarbase. Disease enrichment was performed using lncRNA from the Starbase. We then constructed the common miRNAs–mRNAs network. In addition, we obtained a correlation analysis of common genes and BC unique genes. Result: Several modules were identified as significant with BC and NAFLD based on WGCNA results. ClueGO enrichment analysis revealed that vasculature development is a feature shared by the pathophysiology of BC and NAFLD. The miRNA enrichment BP and lncRNA disease enrichment analyses revealed a link between BC and NAFLD. Furthermore, we identified three BC features that may be involved in the transition from NAFLD to BC and disease-crucial genes FOXO1 and PKD2. Conclusion: Our study revealed that vasculature development may be an important point for BC and NAFLD, with parts of BC patients evolving from NAFLD by three group feature genes. Furthermore, these gene modules could be biomarkers or potential diagnostic targets in NAFLD patients.

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Section: Vasculature Development a Potential Common Stage For Bc And ...mentioning

confidence: 83%

Exploration of the Shared Gene and Molecular Mechanisms between Breast Cancer and Non-alcoholic Fatty Liver Disease Based on Available Public Transcriptome Sequencing Data

Chen,

Tian,

Qian

et al. 2023

Preprint

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“…FoxO6 mediates insulin's effect on target genes and integrates insulin signaling with glucose and lipid metabolism in the liver. FoxO1 regulates transcriptional processes that promote gluconeogenesis and fatty acid oxidation, as well as the IGF1 and leptin pathways [42]. Another pathway is the mTOR signaling pathway, which regulates insulin secretion and β-cell metabolism and is associated with the development of insulin resistance and β-cell dysfunction in type 2 diabetes [43].…”

Section: Discussionmentioning

confidence: 99%

The impact of lncRNAs MIR503HG, TTN-AS1, and FEZF1-AS1 and their association with miR-107 expression in type 2 diabetes mellitus

Abedi,

Salehi,

Zaersabet

et al. 2024

Preprint

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Type 2 diabetes mellitus (T2DM) is a complex disease characterized by insulin resistance and insulin secretion defects. Its causes are unknown, but genetic and environmental factors play a role. Obesity and insulin resistance are associated with hsa-miR-107 dysregulation. Evidence suggests that several long non-coding RNAs (lncRNAs) are involved in gene regulation of β-cells and T2DM pathogenesis. This study evaluated the association between lncRNAs and hsa-miR-107 and then identified the proteins involved in T2DM using in silico analyses. Three lncRNAs including MIR503HG, TTN-AS1, and FEZF1-AS1 were selected based on the research literature. In this study, 80 T2DM patients and 110 healthy individuals were recruited, and their peripheral blood was collected for biochemical measurements and RNA extraction. The expression levels of the selected lncRNAs and hsa-miR-107 were measured using quantitative real-time polymerase chain reaction (qRT-PCR). Results showed that individuals with T2DM had higher levels of the lncRNA MIR503HGand TTN-AS1, while the expression of FEZF1-AS1 was lower than in the control group. Furthermore, when T2DM patients were compared to healthy individuals, there was a significant upregulation of the hsa-miR-107transcript. In conclusion, our data implicate the importance of MIR503HG, TTN-AS1, FEZF1-AS1 and hsa-miR-107 expression in T2DM which might yield insight into the complex mechanisms underlying the T2DM pathogenesis.

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“…In the nervous system, FOXO1 can affect neuronal autophagy ( Castillo et al, 2013 ). On the other hand, FoxO1 is the main target of insulin signaling pathways, and as a result controls glucose metabolism ( Kousteni, 2011 ; Nathanael et al, 2022 ). These mechanisms suggest FOXO1 may have implications in progression of AD.…”

Section: Discussionmentioning

confidence: 99%

Machine learning models identify ferroptosis-related genes as potential diagnostic biomarkers for Alzheimer’s disease

Deng

Feng²,

Lv³

et al. 2022

Front. Aging Neurosci.

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Alzheimer’s disease (AD) is a complex, and multifactorial neurodegenerative disease. Previous studies have revealed that oxidative stress, synaptic toxicity, autophagy, and neuroinflammation play crucial roles in the progress of AD, however, its pathogenesis is still unclear. Recent researches have indicated that ferroptosis, an iron-dependent programmed cell death, might be involved in the pathogenesis of AD. Therefore, we aim to screen correlative ferroptosis-related genes (FRGs) in the progress of AD to clarify insights into the diagnostic value. Interestingly, we identified eight FRGs were significantly differentially expressed in AD patients. 10,044 differentially expressed genes (DEGs) were finally identified by differential expression analysis. The following step was investigating the function of DEGs using gene set enrichment analysis (GSEA). Weight gene correlation analysis was performed to explore ten modules and 104 hub genes. Subsequently, based on machine learning algorithms, we constructed diagnostic classifiers to select characteristic genes. Through the multivariable logistic regression analysis, five features (RAF1, NFKBIA, MOV10L1, IQGAP1, FOXO1) were then validated, which composed a diagnostic model of AD. Thus, our findings not only developed genetic diagnostics strategy, but set a direction for further study of the disease pathogenesis and therapy targets.

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The role of FoxO1 and its modulation with small molecules in the development of diabetes mellitus: A review

Cited by 9 publications

References 168 publications

Exploration of the Shared Gene and Molecular Mechanisms between Breast Cancer and Non-alcoholic Fatty Liver Disease Based on Available Public Transcriptome Sequencing Data

Exploration of the Shared Gene and Molecular Mechanisms between Breast Cancer and Non-alcoholic Fatty Liver Disease Based on Available Public Transcriptome Sequencing Data

The impact of lncRNAs MIR503HG, TTN-AS1, and FEZF1-AS1 and their association with miR-107 expression in type 2 diabetes mellitus

Machine learning models identify ferroptosis-related genes as potential diagnostic biomarkers for Alzheimer’s disease

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