2.Advances on hypoxia inducible factor-1.
Chinese Medical Journal 2013;126(18):3567-3571
3.HIF-1 signal pathway in cellular response to hypoxia.
Ping-ping WANG ; Fan-ping KONG ; Xue-qun CHEN ; Ji-zeng DU
Journal of Zhejiang University. Medical sciences 2011;40(5):559-566
HIF-1 is composed of HIF-1α and HIF-1β subunits. It promotes target genes transcription under hypoxia and plays essential roles in cell development, physiological adaptations, and pathological processes. In the past 10 years, the research on signaling pathways of HIF-1 in response to cell hypoxia stress, especially on HIF-1α-mediated gene transcription has made great progress.
Animals
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Cell Hypoxia
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physiology
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Humans
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Hypoxia-Inducible Factor 1
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metabolism
;
Signal Transduction
4.Research progress of hypoxia-inducible factor 1 inhibitors against tumors.
Fei NIU ; Yan LI ; Fang-Fang LAI ; Xiao-Guang CHEN
Acta Pharmaceutica Sinica 2014;49(6):832-836
Hypoxia occurs in chronic and acute vascular diseases and tumor formation. The ability of tumor cells to maintain a balance between an adaptation to hypoxia and cell death is regulated by a family of transcription factors called hypoxia-inducible factor 1 (HIF-1). Tumor hypoxia mediated by HIF-1 would facilitate the likelihood of resistance to chemotherapy and radiotherapy, proliferation, metastasis and the invasive potential; all of which culminate in a decrease in patient survival. And HIF-1 alpha subunit decides the activity of HIF-1, which is regulated by oxygen. So understanding the role of HIF in signal pathway, drug resistance mechanism and its feature is crucial for developing novel anticancer therapies. In recent years, more attentions have focused on HIF-1 alpha inhibitors. It is expected that development of more potent and selective HIF inhibitors will provide an effective treatment of cancer and other HIF-related diseases. So we will focus on the biological characteristics and mechanism of HIF-1 to review currently studied HIF-1 inhibitors.
Cell Death
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Humans
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Hypoxia-Inducible Factor 1
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antagonists & inhibitors
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metabolism
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Hypoxia-Inducible Factor 1, alpha Subunit
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antagonists & inhibitors
;
metabolism
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Neoplasms
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drug therapy
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Oxygen
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metabolism
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Signal Transduction
5.Expression and implication of hypoxia inducible factor-1alpha in prostate neoplasm.
Ping, HAO ; Xiaochun, CHEN ; Huaizhen, GENG ; Longjie, GU ; Jiang, CHEN ; Gongcheng, LU
Journal of Huazhong University of Science and Technology (Medical Sciences) 2004;24(6):593-5
To study the expression of hypoxia inducible factor-1alpha (HIF-1alpha) protein in prostate cancer (Pca) and its biological significance, the expression of HIF-1alpha was assayed by means of immunohistochemical technique in 42 prostate cancer, 12 prostatic intraepithelial neoplasm (PIN) and 9 normal prostate tissue (NP) specimens. Western blot was used to examine the expression of HIF-1alpha in prostate cancer cell line (PC-3M) induced by different oxygen tension. HIF-1alpha expression was positive in 33 Pca and 9 PIN specimens, and the positive rate of HIF-1alpha was higher in distant metastasis patients than in patients without metastasis of prostate cancer (P<0.05), while there was no expression of HIF-1alpha in NP. The level of HIF-1alpha in PC-3M significantly increased with the decrease of oxygen tension (P<0.01). Overexpression of HIF-1alpha is the preliminary event of the formation of Pca, which may induce carcinoma into malignant phenotype. Thus it may serve as an early diagnosis marker and the novel target for Pca treatment.
Adenocarcinoma/*metabolism
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Cell Line, Tumor
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Hypoxia-Inducible Factor 1, alpha Subunit/*biosynthesis
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Hypoxia-Inducible Factor 1, alpha Subunit/genetics
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Prostatic Neoplasms/*metabolism
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Tumor Markers, Biological/*biosynthesis
6.Effect of HIF-1α on Angiogenesis-Related Factors in K562 Cells.
You-Bang XIE ; Jian-Ping LI ; Kuo SHEN ; Fang MENG ; Li WANG ; Guo-Xiong HAN ; Guo AI ; Bai-Li JIANG ; Qiang-Qiang ZHAO ; Yan HOU ; Hong-Yan YANG ; Wen-Qian LI
Journal of Experimental Hematology 2019;27(5):1476-1481
OBJECTIVE:
To explore the mechanisms of angiogenesis in chronic myeloid leukemia (CML) through detecting the levels of angiogenesis-related factors secreted from K562 cells after overexpression and interference of HIF-1α gene in K562 cells.
METHODS:
The K562 cells were transfected by lentiviruses carried and interfered HIF-1α gene, then the transtected K562 cells with carried and interfered with HIF-1α gene were enrolled in overexpression and interference groups respectively, at the same time the K562 cells transfected by the empty virus were enrolled in control group. The cells were harvested after culture for 72 hours under normoxid condition. The transfection efficient in 3 groups was detected by fluorescence microscopy; the mRNA expression of HIF-1α gene and angiogenesis-related factors was detected by RT-PCR; the concentration of angiogenesis-related factors in the caltured supernatant was detected by ELISA.
RESULTS:
The optimal MOI of K562 cells transfected with lentivirus was 10 and the transfection efficiency was about 50%. The positive rate of transfection after screening by puromycin was more than 90%. The mRNA expression of ANG-I, ANG-II, TGF-α and VEGF in the interference group was lower than that in the over-expression group, and the TGF-β1 mRNA expression in the interference group was higher than in the over-expression group. The mRNA expression of ANG-I and VEGF in the interference group was lower than that in the control group. TGF-αdid not could be detected, and the culture supernatant concentration of ANG-I and TNF-α in the interference group was lower than in the over-expression group, while the VEGF concentration in the interference group was higher than that in the over-expression group. All of the above-mentioned differences were statistically significant (P<0.05).
CONCLUSION
The positive K562 cells transfected with leutivirus have been harvested by screening with puromycin. The HIF-1α mRNA positively regulates the mRNA expression of ANG-1, ANG-2, TGF-α, VEGF in K562 cells, promotes the antocrine ability of ANG-1 and TNF-α, moreover not stimulates the autocrine of TGF-α, the up-regulation of HIF-1α expression can inhibit the expression TGF-β1 in K562 cells and the autocrine of TGF-β1.
Humans
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Hypoxia-Inducible Factor 1, alpha Subunit
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metabolism
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K562 Cells
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RNA, Messenger
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Vascular Endothelial Growth Factor A
7.The effect of hypoxia preconditioning no binding activity of HIF-1 on the HRE with EPO in the hippocampus of mice.
Guo SHAO ; Wei-Hua ZHOU ; Cui-Ying GAO ; Ran ZHANG ; Guo-Wei LU
Chinese Journal of Applied Physiology 2007;23(1):1-4
AIMTo observe change of binding activity of HIF-1 with erythropoietin (EPO) hypoxia response element (HRE) in the hippocampus of mice preconditioned to hypoxia and explore relationship between the changes and the preconditioning.
METHODSThe hippocampus was removed from mice exposed to hypoxia for 0 run (control group), 1 run (H1 group) and 4 runs(H4 group). Electrophoretic mobility shift assays (EMSA), chromatin immunoprecipitation (ChIP)and real time PCR were used to detect the change of activity of HIF-1 on HRE of EPO.
RESULTSBoth in vitro and in vivo binding tests showed that the HIF-1 DNA-binding activities were increased in group H1 and markedly increased in group H4.
CONCLUSIONThe increase of HIF-1 and HRE of EPO binding activities is thought be involved in hypoxic preconditioning.
Animals ; Erythropoietin ; metabolism ; Hippocampus ; metabolism ; Hypoxia ; metabolism ; Hypoxia-Inducible Factor 1 ; metabolism ; Male ; Mice ; Mice, Inbred BALB C ; Response Elements
8.Modulation of drug-metabolizing enzymes and transporters under hypoxia environment.
Qiong MIN ; Shi-Lan FENG ; Hui LU ; Wen-Bin LI ; Chang WANG ; Juan-Hong ZHANG ; Rong WANG
Acta Physiologica Sinica 2019;71(2):336-342
Drug metabolism is significantly affected under hypoxia environment with changes of pharmacokinetics, expression and function of drug-metabolizing enzymes and transporters. Studies have shown that hypoxia increases the release of a series of inflammatory cytokines which can modulate drug metabolism. Besides, both hypoxia inducible factor 1α (HIF-1α) and microRNA-mediated pathways play a role in regulating drug metabolism. This article reviewed the impact and single-factor modulating mechanisms of drug metabolism under hypoxia, and put forward the speculation and prospects of multi-factor modulating mechanisms.
Cell Hypoxia
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Humans
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Hypoxia
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Hypoxia-Inducible Factor 1, alpha Subunit
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physiology
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Membrane Transport Proteins
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physiology
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MicroRNAs
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physiology
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Pharmaceutical Preparations
;
metabolism
9.Research progress on the biological effects of HIF-1α on follicle development and ovulation.
Lin-Na MA ; Kun MA ; Xiao-Di FAN ; Han ZHANG ; Jia-Ni LI ; Shan-Feng GAO
Acta Physiologica Sinica 2023;75(5):727-735
Hypoxia inducible factor-1α (HIF-1α), as a hypoxia inducible factor, affects women's reproductive function by regulating the development and excretion of follicles. HIF-1α induces glycolysis and autophagy in the granule cells by promoting oocyte development, regulating the secretion of related angiogenic factors, and improving follicle maturity. In addition, HIF-1α promotes the process of luteinization of follicular vesicles, maintains luteal function, and finally completes physiological luteal atrophy through cumulative oxidative stress. Dysfunction of HIF-1α will cause a series of pathological consequences, such as angiogenesis defect, energy metabolism abnormality, excessive oxidative stress and dysregulated autophagy and apoptosis, resulting in ovulation problem and infertility. This article summarizes the previous studies on the regulation of follicle development and excretion and maintenance of luteal function and structural atrophy by HIF-1α. We also describe the effective intervention mechanism of related drugs or bioactive ingredients on follicular dysplasia and ovulation disorders through HIF-1α, in order to provide a systematic and in-depth insights for solving ovulation disorder infertility.
Female
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Humans
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Atrophy/metabolism*
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Hypoxia
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Hypoxia-Inducible Factor 1, alpha Subunit/metabolism*
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Infertility/metabolism*
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Ovarian Follicle
;
Ovulation
10.Transition of autophagy and apoptosis in fibroblasts depends on dominant expression of HIF-1α or p53.
Min LI ; Yidan SU ; Xiaoyuan GAO ; Jiarong YU ; Zhiyong WANG ; Xiqiao WANG
Journal of Zhejiang University. Science. B 2022;23(3):204-217
It has been revealed that hypoxia is dynamic in hypertrophic scars; therefore, we considered that it may have different effects on hypoxia-inducible factor-1α (HIF-1α) and p53 expression. Herein, we aimed to confirm the presence of a teeterboard-like conversion between HIF-1α and p53, which is correlated with scar formation and regression. Thus, we obtained samples of normal skin and hypertrophic scars to identify the differences in HIF-1α and autophagy using immunohistochemistry and transmission electron microscopy. In addition, we used moderate hypoxia in vitro to simulate the proliferative scar, and silenced HIF-1α or p53 gene expression or triggered overexpression to investigate the changes of HIF-1α and p53 expression, autophagy, apoptosis, and cell proliferation under this condition. HIF-1α, p53, and autophagy-related proteins were assayed using western blotting and immunofluorescence, whereas apoptosis was detected using flow cytometry analysis, and cell proliferation was detected using cell counting kit-8 (CCK-8) and 5-bromo-2'-deoxyuridine (BrdU) staining. Furthermore, immunoprecipitation was performed to verify the binding of HIF-1α and p53 to transcription cofactor p300. Our results demonstrated that, in scar tissue, HIF-1α expression increased in parallel with autophagosome formation. Under hypoxia, HIF-1α expression and autophagy were upregulated, whereas p53 expression and apoptosis were downregulated in vitro. HIF-1α knockdown downregulated autophagy, proliferation, and p300-bound HIF-1α, and upregulated p53 expression, apoptosis, and p300-bound p53. Meanwhile, p53 knockdown induced the opposite effects and enhanced HIF-1α, whereas p53 overexpression resulted in the same effects and reduced HIF-1α. Our results suggest a teeterboard-like conversion between HIF-1α and p53, which is linked with scar hyperplasia and regression.
Apoptosis
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Autophagy
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Cell Hypoxia
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Fibroblasts/metabolism*
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Humans
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Hypoxia-Inducible Factor 1, alpha Subunit/metabolism*
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Tumor Suppressor Protein p53/metabolism*