Role of HIF-1α signaling pathway in osteoarthritis: a systematic review

Fernández‐Torres, Javier; Martínez‐Nava, Gabriela Angélica; Gutiérrez‐Ruiz, María Concepción; Gómez-Quiroz, Luís Enrique; Gutiérrez, Marwin

doi:10.1016/j.rbre.2016.07.008

Cited by 32 publications

(28 citation statements)

References 75 publications

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“…Bcl-2 is a regulator of apoptosis from the B-cell lymphoma-2 family, and its function is to inhibit cell death, rather than promote proliferation (18,31–33). Overexpression of Bcl-2 in mouse bones suppresses apoptosis of bone cells (34) and suppression of Bcl-2 increases apoptosis in leukemic cells (35).…”

Section: Discussionmentioning

confidence: 99%

“…HIF-1α may protect articular cartilage by promoting the chondrocyte phenotype, maintaining chondrocyte viability and supporting metabolic adaptation to a hypoxic environment (52). Articular cartilage is a hypoxic tissue, in which HIF-1 is essential for survival, growth, energy generation and matrix synthesis of chondrocytes (33,44). HIF-1 is the major regulator of VEGFA in the context of angiogenesis (53,54).…”

Section: Discussionmentioning

confidence: 99%

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Microarray analysis of the molecular mechanisms associated with age and body mass index in human meniscal injury

Huang

et al. 2018

Mol Med Report

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The aim of the present study was to identify genes and functional pathways associated with meniscal injuries affected by age or body mass index (BMI) using microarray analysis. The GSE45233 gene expression dataset with 12 injured meniscus samples associated with age and BMI and GSE66635 dataset with 12 injured and 12 normal meniscus samples were downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were identified based on age or BMI in GSE45233. DEGs between injured and normal meniscus samples in GSE66635 were also identified. Common DEGs between GSE45233 and GSE66635 were identified as feature genes associated with age or BMI, followed by protein-protein interaction (PPI) network and functional pathway enrichment analyses for the feature genes. Finally, the GSE51588 genome-wide expression profile was then downloaded from the GEO database to validate the results. A total of 1,328 DEGs were identified. Of these, 28 age-associated and 20 BMI-associated meniscal injury genes were obtained. B-cell lymphoma-2 (Bcl-2) and matrix metalloproteinase-14 were identified as hub genes in the PPI networks. Functional pathway enrichment analysis revealed that vascular endothelial growth factor A (VEGFA), transferrin (TF) and Bcl-2 were involved in the hypoxia-inducible factor 1 signaling pathway. TF was involved in the mineral absorption function pathway associated with BMI. Additionally, TF and VEGFA were identified to be overlapping candidate genes of GSE45233 and GSE66635, and DEGs in GSE51588. Therefore, VEGFA, TF, and Bcl-2 may be important genes for human meniscal injuries. Additional evaluations of these results are required.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Microarray analysis of the molecular mechanisms associated with age and body mass index in human meniscal injury

Huang

et al. 2018

Mol Med Report

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“…Schematic representation of the hypoxia‐inducible factor (HIF)–1α metabolic pathway in normoxia and cell hypoxia (adapted from Fernández‐Torres et al, 2017). Abbreviations: HIF, Hypoxia‐inducible factor; P300‐CBP, transcriptional coactivator proteins; HRE, hypoxia‐response element; PHD, prolyl hydroxylase family; FIH, factor inhibiting HIF‐1; VHL, von Hippel‐Lindau proteins; Ub, ubiquitin…”

Section: Methodsmentioning

confidence: 84%

Role of hypoxia‐inducible factor 1α as a potential biomarker for renal diseases—A systematic review

Encinas

Foncesca

Perez

et al. 2019

Cell Biochemistry & Function

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Renal cells need oxygen for homeostasis; it is known for adjusting cellular functioning and the energy obtainment have a broad relationship with cellular respiration, through the O2 bioavailability. O2 homeostasis regulation in the kidney is mediated by hypoxia‐inducible factors (HIFs). HIF is divided into three α isoforms, represented by HIF‐1α, HIF‐2α, and HIF‐3α in addition to three paralogs of HIF‐1β; these are involved in some metabolic processes, as well as in the pathogenesis of several diseases. Renal biopsy analyses of patients and experimental animal models aim to understand the relationship between HIF and protection against developing renal diseases or the induction of their onset, being thus this molecule can be considered a potential biomarker of renal disease. We carried out a systematic review to which we included studies on HIF‐1α and renal disease in the last 5 years (2013‐2018) in researches with humans and/or animal model through searches in three databases: LILACS, PubMed, and SciELO by two researchers. We obtained 22 articles that discussed the relationship with HIF as inductor or protector against renal disease and no relation between HIF and renal. We observed controversies remain regarding the relation between of HIF with renal diseases; this may be related to the different intracellular pathways mediated by HIF‐1α, thereby determining differentiated cellular responses.

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“…For instance, previous research reported that targeting TNF alleviates the symptoms of inflammatory OA [ 51 ]. The HIF-1 signaling pathway has also been linked to OA via the actions of a survival factor that affects autophagy and apoptosis, and hence cartilage homeostasis [ 52 ]. In addition, the PI3K/Akt signaling pathway is important for regulating chondrocyte apoptosis [ 53 ].…”

Section: Discussionmentioning

confidence: 99%

Protective Effects of Peucedanum japonicum Extract against Osteoarthritis in an Animal Model Using a Combined Systems Approach for Compound-Target Prediction

et al. 2018

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Peucedanum japonicum Thunberg is an herbal medicine used to treat neuralgia, rheumatoid arthritis, and inflammatory-related diseases. However, its effects on osteoarthritis (OA) and its regulatory mechanisms have not been investigated by network analysis. Here, we investigated the pharmacological effects of Peucedanum japonicum extract (PJE) on OA, by combining in vivo effective verification and network pharmacology prediction. Rats in which OA was induced by monosodium iodoacetate (MIA) were treated with PJE (200 mg/kg), and histopathological parameters, weight bearing distribution and inflammatory factors in serum and joint tissue were measured after 28 days of treatment. Additionally, in silico network analysis was used to predict holistic OA regulatory mechanisms of PJE. The results showed that PJE exerted potential protective effects by recovering hind paw weight bearing distribution, alleviating histopathological features of cartilage and inhibiting inflammatory mediator levels in the OA rat model. Furthermore, network analysis identified caspase-3 (CASP3), caspase-7 (CASP7), and cytochrome P450 2D6 (CYP2D6) as potential target genes; in addition, the TNF (Tumor necrosis factor) signaling pathway was linked to OA therapeutic action. Our combined animal OA model and network analysis confirmed the therapeutic effects of PJE against OA and identified intracellular signaling pathways, active compounds and target genes linked to its therapeutic action.

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Role of HIF-1α signaling pathway in osteoarthritis: a systematic review

Cited by 32 publications

References 75 publications

Microarray analysis of the molecular mechanisms associated with age and body mass index in human meniscal injury

Microarray analysis of the molecular mechanisms associated with age and body mass index in human meniscal injury

Role of hypoxia‐inducible factor 1α as a potential biomarker for renal diseases—A systematic review

Protective Effects of Peucedanum japonicum Extract against Osteoarthritis in an Animal Model Using a Combined Systems Approach for Compound-Target Prediction

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