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1.
PLoS One ; 19(5): e0295094, 2024.
Article En | MEDLINE | ID: mdl-38743782

Oxygen is essential to all the aerobic organisms. However, during normal development, disease and homeostasis, organisms are often challenged by hypoxia (oxygen deprivation). Hypoxia-inducible transcription factors (HIFs) are master regulators of hypoxia response and are evolutionarily conserved in metazoans. The homolog of HIF in the genetic model organism C. elegans is HIF-1. In this study, we aimed to understand short-term hypoxia response to identify HIF-1 downstream genes and identify HIF-1 direct targets in C. elegans. The central research questions were: (1) which genes are differentially expressed in response to short-term hypoxia? (2) Which of these changes in gene expression are dependent upon HIF-1 function? (3) Are any of these hif-1-dependent genes essential to survival in hypoxia? (4) Which genes are the direct targets of HIF-1? We combine whole genome gene expression analyses and chromatin immunoprecipitation sequencing (ChIP-seq) experiments to address these questions. In agreement with other published studies, we report that HIF-1-dependent hypoxia-responsive genes are involved in metabolism and stress response. Some HIF-1-dependent hypoxia-responsive genes like efk-1 and phy-2 dramatically impact survival in hypoxic conditions. Genes regulated by HIF-1 and hypoxia overlap with genes responsive to hydrogen sulfide, also overlap with genes regulated by DAF-16. The genomic regions that co-immunoprecipitate with HIF-1 are strongly enriched for genes involved in stress response. Further, some of these potential HIF-1 direct targets are differentially expressed under short-term hypoxia or are differentially regulated by mutations that enhance HIF-1 activity.


Caenorhabditis elegans Proteins , Caenorhabditis elegans , Hypoxia , Animals , Caenorhabditis elegans/genetics , Caenorhabditis elegans/metabolism , Caenorhabditis elegans Proteins/genetics , Caenorhabditis elegans Proteins/metabolism , Hypoxia/genetics , Hypoxia/metabolism , Binding Sites , Gene Expression Profiling , Gene Expression Regulation , Hypoxia-Inducible Factor 1/metabolism , Hypoxia-Inducible Factor 1/genetics
2.
PLoS One ; 19(3): e0295093, 2024.
Article En | MEDLINE | ID: mdl-38517909

Metazoan animals rely on oxygen for survival, but during normal development and homeostasis, animals are often challenged by hypoxia (low oxygen). In metazoans, many of the critical hypoxia responses are mediated by the evolutionarily conserved hypoxia-inducible transcription factors (HIFs). The stability and activity of HIF complexes are strictly regulated. In the model organism C. elegans, HIF-1 stability and activity are negatively regulated by VHL-1, EGL-9, RHY-1 and SWAN-1. Importantly, C. elegans mutants carrying strong loss-of-function mutations in these genes are viable, and this provides opportunities to interrogate the molecular consequences of persistent HIF-1 over-activation. We find that the genome-wide gene expression patterns are compellingly similar in these mutants, supporting models in which RHY-1, VHL-1 and EGL-9 function in common pathway(s) to regulate HIF-1 activity. These studies illuminate the diversified biological roles played by HIF-1, including metabolism and stress response. Genes regulated by persistent HIF-1 over-activation overlap with genes responsive to pathogens, and they overlap with genes regulated by DAF-16. As crucial stress regulators, HIF-1 and DAF-16 converge on key stress-responsive genes and function synergistically to enable hypoxia survival.


Caenorhabditis elegans Proteins , Caenorhabditis elegans , Animals , Caenorhabditis elegans/metabolism , Caenorhabditis elegans Proteins/genetics , Caenorhabditis elegans Proteins/metabolism , Hypoxia-Inducible Factor 1/genetics , Hypoxia-Inducible Factor 1/metabolism , Oxygen/metabolism , Hypoxia/genetics , Gene Expression Profiling , Transcription Factors/genetics , Transcription Factors/metabolism
3.
Mol Carcinog ; 63(5): 834-848, 2024 May.
Article En | MEDLINE | ID: mdl-38372346

Hypoxia-inducible factor-1 (HIF-1) is the master regulator of cellular response to hypoxia, and is activated in many cancers contributing to many steps in the metastatic cascade by acting as a key transcription co-regulator for a large number of downstream genes. Presence of hypoxia within a tumor is spatially nonuniform, and can also by dynamic. Further, although HIF-1 is primarily stabilized and activated by lack of molecular O2, its stability is also affected by other factors present in the tumor microenvironment. HIF-1 also crosstalks with other transcription factors in co-regulating gene expression. Consequently, it is nontrivial to predict the gene expression patterns in cells in response to hypoxia, or HIF-1 activation. Additionally, cancers originating from tissue origins with different basal level of partial oxygen tension may activate HIF-1 at different threshold of hypoxia. We analyzed large published single cell RNAseq data for colorectal, lung, and pancreatic cancers to investigate the phenotypic outcome of HIF-1 activation in cancer cells. We found that cancers from tissues with different partial O2 tension levels exhibit HIF-1 activation at different stages of metastasis, and phenotypically respond differently to HIF-1 activation, likely by contextual co-option of different transcription factors. We experimentally confirmed these predictions by using cell lines representative of colorectal, lung, and pancreatic cancers, finding that while hypoxia enhances growth of colorectal cancer, it induces increased invasion of lung, and pancreatic cancers. Our analysis suggest that HIF-1 activation may act as a rheostat regulating downstream gene expression towards phenotypic outcomes differently in various cancers.


Colorectal Neoplasms , Hypoxia-Inducible Factor 1 , Pancreatic Neoplasms , Humans , Cell Hypoxia/physiology , Cell Line, Tumor , Colorectal Neoplasms/genetics , Colorectal Neoplasms/metabolism , Colorectal Neoplasms/pathology , Gene Expression Regulation, Neoplastic , Hypoxia/genetics , Hypoxia-Inducible Factor 1/genetics , Hypoxia-Inducible Factor 1/metabolism , Hypoxia-Inducible Factor 1, alpha Subunit/genetics , Hypoxia-Inducible Factor 1, alpha Subunit/metabolism , Pancreatic Neoplasms/metabolism , Pancreatic Neoplasms/pathology , Tumor Microenvironment/genetics
4.
Curr Mol Pharmacol ; 17: e18761429266116, 2024.
Article En | MEDLINE | ID: mdl-38389420

Hypoxia-inducible factor (HIF) is a nuclear protein that plays a crucial role in oxygen homeostasis through its transcriptional activity and thousands of target gene profiles. Through transcriptional and post-transcriptional regulation, the downstream target genes of HIF can trigger multiple pathological responses in the body, including energy metabolism, cytopenia, and angiogenesis. There are three distinct subtypes of HIF: HIF-1, HIF-2, and HIF-3. HIF-1 is a significant regulator of the cellular response to hypoxia, and the balance between its production and degradation is critical for this response. As hypoxia is linked to several disorders, understanding HIF can open up novel avenues for the treatment of many diseases. This review describes the regulatory mechanisms of HIF-1 synthesis and degradation and the clinical significance of the hypoxia-inducible factor pathway in lung injury, kidney disease, hematologic disorders, and inflammation-related diseases.


Cell Hypoxia , Hypoxia-Inducible Factor 1 , Humans , Cell Hypoxia/physiology , Clinical Relevance , Gene Expression Regulation , Hypoxia , Hypoxia-Inducible Factor 1/genetics , Hypoxia-Inducible Factor 1/metabolism
5.
Biol Cell ; 116(2): e2300077, 2024 Feb.
Article En | MEDLINE | ID: mdl-38031929

BACKGROUND INFORMATION: Cancer cells acquire malignant characteristics and therapy resistance by employing the hypoxia-inducible factor 1 (HIF-1)-dependent adaptive response to hypoxic microenvironment in solid tumors. Since the underlying molecular mechanisms remain unclear, difficulties are associated with establishing effective therapeutic strategies. RESULTS: We herein identified DEAD-box helicase 5 (DDX5) as a novel activator of HIF-1 and found that it enhanced the heterodimer formation of HIF-1α and HIF-1ß and facilitated the recruitment of the resulting HIF-1 to its recognition sequence, hypoxia-response element (HRE), leading to the expression of a subset of cancer-related genes under hypoxia. CONCLUSIONS: This study reveals that the regulation of HIF-1 recruitment to HRE is an important regulatory step in the control of HIF-1 activity. SIGNIFICANCE: The present study provides novel insights for the development of strategies to inhibit the HIF-1-dependent expression of cancer-related genes.


Hypoxia-Inducible Factor 1 , Neoplasms , Humans , Hypoxia-Inducible Factor 1/genetics , Hypoxia-Inducible Factor 1/metabolism , Cell Hypoxia/physiology , Hypoxia/metabolism , Response Elements , Neoplasms/genetics , Hypoxia-Inducible Factor 1, alpha Subunit/genetics , Hypoxia-Inducible Factor 1, alpha Subunit/metabolism , Tumor Microenvironment
6.
Genes Cells ; 29(2): 169-177, 2024 Feb.
Article En | MEDLINE | ID: mdl-38158708

Hypoxia-inducible factor 1 (HIF1) is a transcription factor that is stabilized under hypoxia conditions via post-translational modifications. HIF1 regulates tumor malignancy and metastasis by gene transcriptions, such as Warburg effect and angiogenesis-related genes, in cancer cells. However, the HIF1 downstream genes show varied expressional patterns in different cancer types. Herein, we performed the hierarchical clustering based on the HIF1 downstream gene expression patterns using 1406 cancer cell lines crossing 30 types of cancer to understand the relationship between HIF1 downstream genes and the metastatic potential of cancer cell lines. Two types of cancers, including bone and breast cancers, were classified based on HIF1 downstream genes with significantly altered metastatic potentials. Furthermore, different HIF1 downstream gene subsets were extracted to discriminate each subtype for these cancer types. HIF1 downstream subtyping classification will help to understand the novel insight into tumor malignancy and metastasis in each cancer type.


Breast Neoplasms , Hypoxia-Inducible Factor 1 , Humans , Female , Hypoxia-Inducible Factor 1/genetics , Hypoxia-Inducible Factor 1/metabolism , Cell Line , Breast Neoplasms/pathology , Hypoxia-Inducible Factor 1, alpha Subunit/genetics , Hypoxia-Inducible Factor 1, alpha Subunit/metabolism , Cell Line, Tumor , Cell Hypoxia/physiology
7.
Dev Comp Immunol ; 153: 105127, 2024 Apr.
Article En | MEDLINE | ID: mdl-38160871

Hypoxia-inducible factors -1 (HIF-1) is a crucial transcription factor that regulates the expression of glycolytic genes. Our previous study proved that the Mud crab dicistrovirus-1 (MCDV-1) can induce aerobic glycolysis that favors viral replication in mud crab Scylla paramamosain. However, the role of HIF-1 on key glycolytic genes during the MCDV-1 infection has not been examined. In this study, the intricate interplay between HIF-1 and the key glycolysis enzyme, lactate dehydrogenase (LDH), was investigated after MCDV-1 infection. The expression of LDH was significant increased after MCDV-1 infection. Additionally, the expression of HIF-1α was upregulated following MCDV-1 infection, potentially attributed to the downregulation of prolyl hydroxylase domains 2 expression. Subsequent examination of the SpLDH promoter identified the presence of hypoxia response elements (HREs), serving as binding sites for HIF-1α. Intriguingly, experimental evidence demonstrated that SpHIF-1α actively promotes SpLDH transcription through these HREs. To further elucidate the functional significance of SpHIF-1α, targeted silencing was employed, resulting in a substantial reduction in SpLDH expression, activity, and lactate concentrations in MCDV-1-infected mud crabs. Notably, SpHIF-1α-silenced mud crabs exhibited higher survival rates and lower viral loads in hepatopancreas tissues following MCDV-1 infection. These results highlight the critical role of SpHIF-1α in MCDV-1 pathogenesis by regulating LDH gene dynamics, providing valuable insights into the molecular mechanisms underlying the virus-host interaction.


Brachyura , Dicistroviridae , Animals , Brachyura/metabolism , Lactic Acid/metabolism , L-Lactate Dehydrogenase/genetics , L-Lactate Dehydrogenase/metabolism , Hypoxia-Inducible Factor 1/genetics , Hypoxia-Inducible Factor 1/metabolism , Hypoxia
8.
J Mol Biol ; 435(15): 168162, 2023 08 01.
Article En | MEDLINE | ID: mdl-37257772

The cellular response to hypoxia is mainly governed by a transcription factor, hypoxia-inducible factor 1 (HIF-1). Although upregulation of HIF-1 target genes has been hypothesized to require interaction of HIF-1 with other coactivators, much remains to be elucidated regarding the underlying mechanisms. Here, we demonstrate that zinc finger and BTB domain-containing protein 2 (ZBTB2) enhances the expression of certain HIF-1 target genes under hypoxia. ChIP-Seq analysis showed that there is a subset of HIF-1 target genes with overlapping HIF-1 and ZBTB2 peaks. Examination of a representative gene, EGFR antisense RNA 1 (EGFR-AS1), showed that HIF-1 binding to the consensus hypoxia-responsive element (HRE) sequence resulted in the recruitment of ZBTB2 to the gene locus and increased p300-mediated histone acetylation, leading to enhanced gene expression under hypoxia. In contrast, expression of HIF-1 target genes lacking ZBTB2 peaks, such as carbonic anhydrase 9 (CA9), was not upregulated by ZBTB2. These findings demonstrate that ZBTB2 is a novel factor that can be recruited to the vicinity of HREs on a subset of HIF-1 target gene loci, and is required for their full expression under hypoxia.


Hypoxia-Inducible Factor 1 , Hypoxia , Repressor Proteins , Humans , Cell Hypoxia/genetics , ErbB Receptors/genetics , Gene Expression , Gene Expression Regulation , Hypoxia/genetics , Hypoxia-Inducible Factor 1/genetics , Hypoxia-Inducible Factor 1/metabolism , Repressor Proteins/genetics , Repressor Proteins/metabolism
9.
Am J Chin Med ; 51(3): 761-777, 2023.
Article En | MEDLINE | ID: mdl-36867109

Hypoxia-inducible factor-1 (HIF-1) is an [Formula: see text]/[Formula: see text] heterodimeric transcription factor. In normal mammalian cells, HIF-1[Formula: see text] is hydroxylated and degraded upon biosynthesis. However, HIF-1[Formula: see text] is frequently expressed in cancer and adds to cancer malignancy. In this study, we investigated whether green tea-derived epigallocatechin-3-gallate (EGCG) decreased HIF-1[Formula: see text] in pancreatic cancer cells. After MiaPaCa-2 and PANC-1 pancreatic cancer cells were exposed to EGCG in vitro, we performed a Western blot to determine native and hydroxylated HIF-1[Formula: see text], which was in turn used to assess HIF-1[Formula: see text] production. In order to assess HIF-1[Formula: see text] stability, we determined the HIF-1[Formula: see text] after MiaPaCa-2 and PANC-1 cells were switched from hypoxia to normoxia. We found that EGCG decreased both production and stability of HIF-1[Formula: see text]. Further, the EGCG-induced decrease in HIF-1[Formula: see text] reduced intracellular glucose transporter-1 and glycolytic enzymes and attenuated glycolysis, ATP production, and cell growth. Because EGCG is known to inhibit cancer-induced insulin receptor (IR) and insulin-like growth factor-1 receptor (IGF1R), we created three MiaPaCa-2 sublines whose IR, IGF1R, and HIF-1[Formula: see text] were decreased using RNA interference. From wild-type MiaPaCa-2 cells and these sublines, we found evidence that suggested that the EGCG-induced inhibition of HIF-1[Formula: see text] was both dependent on and independent of IR and IGF1R. In vivo, we transplanted wild-type MiaPaCa-2 cells in athymic mice and treated the mice with EGCG or vehicle. When the resulting tumors were analyzed, we found that EGCG decreased tumor-induced HIF-1[Formula: see text] and tumor growth. In conclusion, EGCG decreased HIF-1[Formula: see text] in pancreatic cancer cells and sabotaged the cells. The anticancer effects of EGCG were both dependent on and independent of IR and IGF1R.


Hypoxia-Inducible Factor 1 , Pancreatic Neoplasms , Animals , Mice , Hypoxia-Inducible Factor 1/genetics , Pancreatic Neoplasms/drug therapy , Pancreatic Neoplasms/genetics , Pancreatic Neoplasms/metabolism , Hypoxia , Mammals , Pancreatic Neoplasms
10.
Aquat Toxicol ; 258: 106498, 2023 May.
Article En | MEDLINE | ID: mdl-37001201

Blood redistribution occurs in mammals under hypoxia but has not been reported in fish. This study investigated the tissue damage, hypoxia-inducible factor (HIF) activation level, and blood flow changes in the brain, liver, and muscle of Pelteobagrus vachelli during the hypoxia process for normoxia-hypoxia-asphyxia. The results showed that P. vachelli has tissue specificity in response to hypoxic stress. Cerebral blood flow increased with less damage than in the liver and muscle, suggesting that P. vachelli may also have a blood redistribution mechanism in response to hypoxia. It is worth noting that severe hypoxia can lead to a sudden increase in the degree of brain tissue damage. In addition, higher dissolved oxygen levels activate HIF and may have contributed to the reduced damage observed in the brain. This study provides basic data for investigating hypoxic stress in fish.


Animal Structures , Catfishes , Hypoxia , Regional Blood Flow , Catfishes/physiology , Brain/blood supply , Brain/pathology , Muscles/chemistry , Muscles/pathology , Liver/blood supply , Liver/pathology , Animal Structures/blood supply , Animal Structures/pathology , Hypoxia/physiopathology , Stress, Physiological/genetics , Fish Proteins/genetics , Fish Proteins/metabolism , Genes, Mitochondrial/genetics , Hypoxia-Inducible Factor 1/genetics , Hypoxia-Inducible Factor 1/metabolism , Regional Blood Flow/physiology , Animals
11.
Sci Adv ; 8(49): eabo5000, 2022 12 09.
Article En | MEDLINE | ID: mdl-36490339

Hypoxia is a key characteristic of the breast cancer microenvironment that promotes expression of the transcriptional activator hypoxia-inducible factor 1 (HIF-1) and is associated with poor patient outcome. HIF-1 increases the expression or activity of stem cell pluripotency factors, which control breast cancer stem cell (BCSC) specification and are required for cancer metastasis. Here, we identify nuclear prelamin A recognition factor (NARF) as a hypoxia-inducible, HIF-1 target gene in human breast cancer cells. NARF functions as an essential coactivator by recruiting the histone demethylase KDM6A to OCT4 bound to genes encoding the pluripotency factors NANOG, KLF4, and SOX2, leading to demethylation of histone H3 trimethylated at lysine-27 (H3K27me3), thereby increasing the expression of NANOG, KLF4, and SOX2, which, together with OCT4, mediate BCSC specification. Knockdown of NARF significantly decreased the BCSC population in vitro and markedly impaired tumor initiation capacity and lung metastasis in orthotopic mouse models.


Breast Neoplasms , Hypoxia-Inducible Factor 1 , Animals , Female , Humans , Mice , Breast Neoplasms/genetics , Breast Neoplasms/metabolism , Breast Neoplasms/pathology , Histones/metabolism , Hypoxia/genetics , Hypoxia/metabolism , Neoplastic Stem Cells/metabolism , Neoplastic Stem Cells/pathology , Transcription Factors/genetics , Transcription Factors/metabolism , Tumor Microenvironment/genetics , Tumor Microenvironment/physiology , Hypoxia-Inducible Factor 1/genetics , Hypoxia-Inducible Factor 1/metabolism
12.
Int J Mol Sci ; 23(21)2022 Oct 31.
Article En | MEDLINE | ID: mdl-36362046

Alzheimer's disease (AD) is a progressive neurodegenerative disorder that requires further pathological elucidation to establish effective treatment strategies. We previously showed that amyloid ß (Aß) toxic conformer with a turn at positions 22-23 is essential for forming highly toxic oligomers. In the present study, we evaluated phenotypic changes with aging in AD model AppNL-P-F/NL-P-F (NL-P-F) mice with Swedish mutation (NL), Iberian mutation (F), and mutation (P) overproducing E22P-Aß, a mimic of toxic conformer utilizing the knock-in technique. Furthermore, the role of the toxic conformer in AD pathology was investigated. NL-P-F mice produced soluble toxic conformers from an early age. They showed impaired synaptic plasticity, glial cell activation, and cognitive decline, followed by the accumulation of Aß plaques and tau hyperphosphorylation. In addition, the protein expression of hypoxia-inducible factor (HIF)-1α was increased, and gene expression of HIF-3α was decreased in NL-P-F mice. HIF dysregulation due to the production of soluble toxic conformers may be involved in AD pathology in NL-P-F mice. This study could reveal the role of a highly toxic Aß on AD pathogenesis, thereby contributing to the development of a novel therapeutic strategy targeting the toxic conformer.


Alzheimer Disease , Amyloid beta-Peptides , Amyloid beta-Protein Precursor , Hypoxia-Inducible Factor 1 , Animals , Mice , Alzheimer Disease/metabolism , Amyloid beta-Peptides/genetics , Amyloid beta-Peptides/metabolism , Amyloid beta-Protein Precursor/genetics , Amyloid beta-Protein Precursor/metabolism , Disease Models, Animal , Gene Knock-In Techniques , Mice, Transgenic , Phenotype , Plaque, Amyloid/metabolism , Hypoxia-Inducible Factor 1/genetics , Hypoxia-Inducible Factor 1/metabolism
13.
Article En | MEDLINE | ID: mdl-36244759

BACKGROUND: Tibetans have lived at very high altitudes for thousands of years, and have a distinctive suite of physiological traits that enable them to tolerate environmental hypoxia. Expanding awareness and knowledge of the differences in hematology, hypoxia-associated genes, immune system of people living at different altitudes and from different ethnic groups may provide evidence for the prevention of mountain sickness. METHOD: Ninety-five Han people at mid-altitude, ninety-five Tibetan people at high-altitude and ninety-eight Han people at high-altitude were recruited. Red blood cell parameters, immune cells, the contents of cytokines, hypoxia-associated gene single nucleotide polymorphisms (SNPs) were measured. RESULTS: The values of Hematocrit (HCT), Mean cell volume (MCV) and Mean cell hemoglobin (MCH) in red blood cell, immune cell CD19+ B cell number, the levels of cytokines Erb-B2 receptor tyrosine kinase 3 (ErbB3) and Tumor necrosis factor receptor II (TNF-RII) and the levels of hypoxia-associated factors Hypoxia inducible factor-1α (HIF-1α), Hypoxia inducible factor-2α (HIF-2α) and HIF prolyl 4-hydroxylase 2 (PHD2) were decreased, while the frequencies of SNPs in twenty-six Endothelial PAS domain protein 1 (EPAS1) and Egl-9 family hypoxia inducible factor 1 (EGLN1) were increased in Tibetan people at high-altitude compared with that of Han peoples at high-altitude. Furthermore, compared with mid-altitude individuals, high-altitude individuals showed lower blood cell parameters including Hemoglobin concentration (HGB), HCT, MCV and MCH, higher Mean cell hemoglobin concentration (MCHC), lower immune cells including CD19+ B cells, CD4+ T cells and CD4/CD8 ratio, higher immune cells containing CD8+ T cells and CD16/56NK cells, decreased Growth regulated oncogene alpha (GROa), Macrophage inflammatory protein 1 beta (MIP-1b), Interleukin-8 (IL-8), and increased Thrombomodulin, downregulated hypoxia-associated factors including HIF1α, HIF2α and PHD2, and higher frequency of EGLN1 rs2275279. CONCLUSIONS: These results indicated that biological adaption to hypoxia at high altitude might have been mediated by changes in immune cells, cytokines, and hypoxia-associated genes during the evolutionary history of Tibetan populations. Furthermore, different responses to high altitude were observed in different ethnic groups, which may provide a useful knowledge to improve the protection of high-altitude populations from mountain sickness.


Altitude Sickness , Altitude , Adaptation, Biological , Altitude Sickness/genetics , Basic Helix-Loop-Helix Transcription Factors/genetics , CD8-Positive T-Lymphocytes/metabolism , Chemokine CCL4/genetics , Hemoglobins/analysis , Humans , Hypoxia/genetics , Hypoxia/metabolism , Hypoxia-Inducible Factor 1/genetics , Hypoxia-Inducible Factor-Proline Dioxygenases/genetics , Hypoxia-Inducible Factor-Proline Dioxygenases/metabolism , Interleukin-8/genetics , Polymorphism, Single Nucleotide , Receptor, ErbB-2/genetics , Receptors, Tumor Necrosis Factor, Type II/genetics , Thrombomodulin/genetics , Tibet
14.
Circ Genom Precis Med ; 15(5): e003535, 2022 10.
Article En | MEDLINE | ID: mdl-36170352

BACKGROUND: Obstructive sleep apnea (OSA) and its features, such as chronic intermittent hypoxia, may differentially affect specific molecular pathways and processes in the pathogenesis of coronary artery disease (CAD) and influence the subsequent risk and severity of CAD events. In particular, competing adverse (eg, inflammatory) and protective (eg, increased coronary collateral blood flow) mechanisms may operate, but remain poorly understood. We hypothesize that common genetic variation in selected molecular pathways influences the likelihood of CAD events differently in individuals with and without OSA, in a pathway-dependent manner. METHODS: We selected a cross-sectional sample of 471 877 participants from the UK Biobank, with 4974 ascertained to have OSA, 25 988 to have CAD, and 711 to have both. We calculated pathway-specific polygenic risk scores for CAD, based on 6.6 million common variants evaluated in the CARDIoGRAMplusC4D genome-wide association study (Coronary ARtery DIsease Genome wide Replication and Meta-analysis [CARDIoGRAM] plus The Coronary Artery Disease [C4D] Genetics), annotated to specific genes and pathways using functional genomics databases. Based on prior evidence of involvement with intermittent hypoxia and CAD, we tested pathway-specific polygenic risk scores for the HIF1 (hypoxia-inducible factor 1), VEGF (vascular endothelial growth factor), NFκB (nuclear factor kappa-light-chain-enhancer of activated B cells) and TNF (tumor necrosis factor) signaling pathways. RESULTS: In a multivariable-adjusted logistic generalized additive model, elevated pathway-specific polygenic risk scores for the Kyoto Encyclopedia of Genes and Genomes VEGF pathway (39 genes) associated with protection for CAD in OSA (interaction odds ratio 0.86, P=6×10-4). By contrast, the genome-wide CAD PRS did not show evidence of statistical interaction with OSA. CONCLUSIONS: We find evidence that pathway-specific genetic risk of CAD differs between individuals with and without OSA in a qualitatively pathway-dependent manner. These results provide evidence that gene-by-environment interaction influences CAD risk in certain pathways among people with OSA, an effect that is not well-captured by the genome-wide PRS. This invites further study of how OSA interacts with genetic risk at the molecular level and suggests eventual personalization of OSA treatment to reduce CAD risk according to individual pathway-specific genetic risk profiles.


Coronary Artery Disease , Sleep Apnea, Obstructive , Humans , Vascular Endothelial Growth Factor A/genetics , Genetic Predisposition to Disease , Genome-Wide Association Study , Cross-Sectional Studies , Sleep Apnea, Obstructive/genetics , Sleep Apnea, Obstructive/complications , Risk Factors , Hypoxia/complications , Hypoxia-Inducible Factor 1/genetics , Tumor Necrosis Factors/genetics
15.
Clin Epigenetics ; 14(1): 123, 2022 09 30.
Article En | MEDLINE | ID: mdl-36180894

BACKGROUND: High-altitude (HA, 2500 m) hypoxic exposure evokes a multitude of physiological processes. The hypoxia-sensing genes though influence transcriptional output in disease susceptibility; the exact regulatory mechanisms remain undetermined in high-altitude pulmonary edema (HAPE). Here, we investigated the differential DNA methylation distribution in the two genes encoding the oxygen-sensing HIF-prolyl hydroxylases, prolyl hydroxylase domain protein 2 (PHD2) and factor inhibiting HIF-1α and the consequent contributions to the HAPE pathophysiology. METHODS: Deep sequencing of the sodium bisulfite converted DNA segments of the two genes, Egl nine homolog 1 (EGLN1) and Hypoxia Inducible Factor 1 Subunit Alpha Inhibitor (HIF1AN), was conducted to analyze the differential methylation distribution in three study groups, namely HAPE-patients (HAPE-p), HAPE-free sojourners (HAPE-f) and healthy HA natives (HLs). HAPE-p and HAPE-f were permanent residents of low altitude (< 200 m) of North India who traveled to Leh (3500 m), India, and were recruited through Sonam Norboo Memorial (SNM) hospital, Leh. HLs were permanent residents of altitudes at and above 3500 m. In addition to the high resolution, bisulfite converted DNA sequencing, gene expression of EGLN1 and HIF1AN and their plasma protein levels were estimated. RESULTS: A significantly lower methylation distribution of CpG sites was observed in EGLN1 and higher in HIF1AN (P < 0.01) in HAPE-p compared to the two control groups, HAPE-f and HLs. Of note, differential methylation distribution of a few CpG sites, 231,556,748, 231,556,804, 231,556,881, 231,557,317 and 231,557,329, in EGLN1 were significantly associated with the risk of HAPE (OR = 4.79-10.29; P = 0.048-004). Overall, the methylation percentage in EGLN1 correlated with upregulated plasma PHD2 levels (R = - 0.36, P = 0.002) and decreased peripheral blood oxygen saturation (SpO2) levels (R = 0.34, P = 0.004). We also identified a few regulatory SNPs in the DNA methylation region of EGLN1 covering chr1:231,556,683-231,558,443 suggestive of the functional role of differential methylation distribution of these CpG sites in the regulation of the genes and consequently in the HIF-1α signaling. CONCLUSIONS: Significantly lower methylation distribution in EGLN1 and the consequent physiological influences annotated its functional epigenetic relevance in the HAPE pathophysiology.


Altitude , Pulmonary Edema , Altitude Sickness , Blood Proteins/genetics , DNA/metabolism , DNA Methylation , Humans , Hypertension, Pulmonary , Hypoxia-Inducible Factor 1/genetics , Hypoxia-Inducible Factor 1/metabolism , Hypoxia-Inducible Factor-Proline Dioxygenases/genetics , Hypoxia-Inducible Factor-Proline Dioxygenases/metabolism , Oxygen , Oxygen Saturation , Prolyl Hydroxylases/genetics , Prolyl Hydroxylases/metabolism , Pulmonary Edema/genetics , Pulmonary Edema/metabolism
16.
Epigenetics ; 17(13): 2056-2074, 2022 12.
Article En | MEDLINE | ID: mdl-35942521

Ten-Eleven-Translocation 5-methylcytosine dioxygenases 1-3 (TET1-3) convert 5-methylcytosine to 5-hydroxymethylcytosine (5-hmC), using oxygen as a co-substrate. Contrary to expectations, hypoxia induces 5-hmC gains in MYCN-amplified neuroblastoma (NB) cells via upregulation of TET1. Here, we show that MYCN directly controls TET1 expression in normoxia, and in hypoxia, HIF-1 augments TET1 expression and TET1 protein stability. Through gene-editing, we identify two MYCN and HIF-1 binding sites within TET1 that regulate gene expression. Bioinformatic analyses of 5-hmC distribution and RNA-sequencing data from hypoxic cells implicate hypoxia-regulated genes important for cell migration, including CXCR4. We show that hypoxic cells lacking the two MYCN/HIF-1 binding sites within TET1 migrate slower than controls. Treatment of MYCN-amplified NB cells with a CXCR4 antagonist results in slower migration under hypoxic conditions, suggesting that inclusion of a CXCR4 antagonist into NB treatment regimens could be beneficial for children with MYCN-amplified NBs.


In MYCN-amplified neuroblastoma cell lines, MYCN directly controls TET1 expression in normoxia.In MYCN-amplified neuroblastoma cell lines exposed to hypoxia, HIF-1 augments TET1 expression and TET1 protein stability.Hypoxic MYCN-amplified neuroblastoma cell lines have increased cell migration, mediated by genes including CXCR4 that gain 5-hydroxymethylcytosine density.Treatment of MYCN-amplified NB cells with a CXCR4 antagonist slows hypoxia-associated migration, suggesting a CXCR4 antagonist could be beneficial in treatment regimens for children with MYCN-amplified neuroblastomas.


5-Methylcytosine , Hypoxia-Inducible Factor 1 , Mixed Function Oxygenases , N-Myc Proto-Oncogene Protein , Neuroblastoma , Proto-Oncogene Proteins , Humans , 5-Methylcytosine/metabolism , Cell Hypoxia/genetics , Cell Line, Tumor , Cell Movement , DNA Methylation , Gene Expression Regulation, Neoplastic , Hypoxia/genetics , Mixed Function Oxygenases/genetics , Mixed Function Oxygenases/metabolism , N-Myc Proto-Oncogene Protein/genetics , N-Myc Proto-Oncogene Protein/metabolism , Neuroblastoma/genetics , Neuroblastoma/metabolism , Proto-Oncogene Proteins/genetics , Proto-Oncogene Proteins/metabolism , Hypoxia-Inducible Factor 1/genetics , Hypoxia-Inducible Factor 1/metabolism
17.
J Biochem Mol Toxicol ; 36(10): e23175, 2022 Oct.
Article En | MEDLINE | ID: mdl-35962614

This study is aimed to investigate the effect of pinoresinol diglucoside (PDG) in ameliorating myocardial ischemia-reperfusion injury (MIRI). Hypoxia/reperfusion (H/R)-induced H9c2 cardiomyocytes were used to establish an in-vitro ischemia-reperfusion injury model of cardiomyocytes. Cells were treated with 1 µmol/L of PDG. Reactive oxygen species (ROS) level was detected by a 2',7'-dichlorofluorescein-diacetate assay. The release of lactate dehydrogenase (LDH) and creatine kinase-MB (CK-MB) was examined by enzyme-linked immunosorbent assay. The viability and apoptosis of H9c2 cells were probed by MTT assay and flow cytometry. Besides this, Western blot and quantitative real-time PCR were used to detect microRNA-142-3p (miR-142-3p) and hypoxia-inducible factor 1 subunit alpha inhibitor (HIF1AN) expression levels. The binding sequence between miR-142-3p and HIF1AN 3'-untranslated region was validated by a dual-luciferase reporter gene assay. PDG treatment significantly reduced the level of ROS, LDH, and CK-MB, promoted viability, and inhibited the apoptosis of H9c2 cells. PDG treatment promoted miR-142-3p expression and inhibited HIF1AN expression in H9c2 cells. MiR-142-3p overexpression enhanced the effects of PDG on ROS, LDH, CK-MB levels, cell viability, and apoptosis in H9c2 cardiomyocytes, while overexpression of HIF1AN reversed the above effects. PDG ameliorates H/R-induced injury of cardiomyocytes by regulating miR-142-3p and HIF1AN.


MicroRNAs , Myocardial Reperfusion Injury , Apoptosis , Creatine Kinase , Humans , Hypoxia/metabolism , Hypoxia-Inducible Factor 1/genetics , Hypoxia-Inducible Factor 1/metabolism , Hypoxia-Inducible Factor 1/pharmacology , L-Lactate Dehydrogenase/metabolism , Lignans , MicroRNAs/metabolism , Mixed Function Oxygenases/genetics , Mixed Function Oxygenases/metabolism , Mixed Function Oxygenases/pharmacology , Myocardial Reperfusion Injury/drug therapy , Myocardial Reperfusion Injury/metabolism , Myocytes, Cardiac/metabolism , Reactive Oxygen Species/metabolism , Repressor Proteins/genetics , Untranslated Regions
18.
Br J Dermatol ; 187(6): 936-947, 2022 12.
Article En | MEDLINE | ID: mdl-35862273

BACKGROUND: The key pathophysiological changes in androgenetic alopecia (AGA) are limited to hair follicles (HFs) in frontal and vertex regions, sparing the occipital region. OBJECTIVES: To identify biological differences among HF subpopulations. METHODS: Paired vertex and occipital HFs from 10 male donors with AGA were collected for RNA sequencing assay. Furthermore, HF and cell experiments were conducted on the identified key genes to reveal their roles in AGA. RESULTS: Transcriptome profiles revealed that 506 mRNAs, 55 microRNAs and 127 long noncoding RNAs were differentially expressed in the AGA vertex HFs. Pathway analysis of mRNAs and microRNAs revealed involvement of the hypoxia-inducible factor (HIF)-1, Wnt/ß-catenin, and focal adhesion pathways. Differential expression of HIF-1 prolyl hydroxylase enzymes (EGLN1, EGLN3) and Wnt/ß-catenin pathway inhibitors (SERPINF1, SFRP2) was experimentally validated. In vitro studies revealed that reduction of EGLN1, EGLN3, SERPINF1 and SFRP2 stimulated proliferation of dermal papilla cells. Ex vivo HF studies showed that downregulation of EGLN1, EGLN3 and SERPINF1 promoted HF growth, postponed HF catagen transition, and prolonged the anagen stage, suggesting that these genes may be potentially utilized as therapeutic targets for AGA. CONCLUSIONS: We characterized key transcriptome changes in male AGA HFs, and found that HIF-1 pathway-related genes (EGLN1, EGLN3) and Wnt pathway inhibitors (SERPINF1, SFRP2) may play important roles in AGA. What is already known about this topic? Multiple differentially expressed genes and signalling pathways have been found between hair follicles (HFs) in the balding area (frontal and vertex regions) and nonbalding area (occipital region) of individuals with androgenetic alopecia (AGA). A whole-transcriptome atlas of the vertex and occipital region is lacking. What does this study add? We identified a number of differentially expressed genes and pathways between balding vertex and nonbalding occipital AGA HFs by using whole-transcriptome analyses. We identified pathways not previously reported in AGA, such as the hypoxia-inducible factor (HIF)-1 signalling pathway. We verified that HIF-1 pathway-related genes (EGLN1, EGLN3) and Wnt pathway inhibitors (PEDF, SFRP2) played important roles in dermal papilla cell activity, hair growth and the hair cycle. What is the translational message? The EGLN1, EGLN3, SERPINF1 and SFRP2 genes may be potentially utilized as therapeutic targets for AGA.


Alopecia , Hypoxia-Inducible Factor 1 , MicroRNAs , Wnt Signaling Pathway , Humans , Male , Alopecia/genetics , beta Catenin/metabolism , Gene Expression Profiling , Hair Follicle/metabolism , Hypoxia-Inducible Factor 1/genetics , Hypoxia-Inducible Factor 1/metabolism , MicroRNAs/metabolism , RNA, Messenger/metabolism , Wnt Signaling Pathway/genetics
19.
Methods Mol Biol ; 2451: 285-403, 2022.
Article En | MEDLINE | ID: mdl-35505024

Photodynamic therapy (PDT) is a non-to-minimally invasive treatment modality that utilizes photoactivatable drugs called photosensitizers to disrupt tumors with locally photoproduced reactive oxygen species (ROS). Photosensitizer activation by light results in hyperoxidative stress and subsequent tumor cell death, vascular shutdown and hypoxia, and an antitumor immune response. However, sublethally afflicted tumor cells initiate several survival mechanisms that account for decreased PDT efficacy. The hypoxia inducible factor 1 (HIF-1) pathway is one of the most effective cell survival pathways that contributes to cell recovery from PDT-induced damage. Several hundred target genes of the HIF-1 heterodimeric complex collectively mediate processes that are involved in tumor cell survival directly and indirectly (e.g., vascularization, glucose metabolism, proliferation, and metastasis). The broad spectrum of biological ramifications culminating from the activation of HIF-1 target genes reflects the importance of HIF-1 in the context of therapeutic recalcitrance. This chapter elaborates on the involvement of HIF-1 in cancer biology, the hypoxic response mechanisms, and the role of HIF-1 in PDT. An overview of inhibitors that either directly or indirectly impede HIF-1-mediated survival signaling is provided. The inhibitors may be used as pharmacological adjuvants in combination with PDT to augment therapeutic efficacy.


Neoplasms , Photochemotherapy , Cell Survival , Humans , Hypoxia-Inducible Factor 1/genetics , Neoplasms/drug therapy , Neoplasms/pathology , Photochemotherapy/methods , Photosensitizing Agents/pharmacology , Photosensitizing Agents/therapeutic use , Reactive Oxygen Species/metabolism
20.
Autophagy ; 18(10): 2333-2349, 2022 Oct.
Article En | MEDLINE | ID: mdl-35230915

TFEB (transcription factor EB) and TFE3 (transcription factor binding to IGHM enhancer 3) orchestrate the cellular response to a variety of stressors, including nutrient deprivation, oxidative stress and pathogens. Here we describe a novel interaction of TFEB and TFE3 with the FAcilitates Chromatin Transcription (FACT) complex, a heterodimeric histone chaperone consisting of SSRP1 and SUPT16H that mediates nucleosome disassembly and assembly, thus facilitating transcription. Extracellular stimuli, such as nutrient deprivation or oxidative stress, induce nuclear translocation and activation of TFEB and TFE3, which then associate with the FACT complex to regulate stress-induced gene transcription. Depletion of FACT does not affect TFEB activation, stability, or binding to the promoter of target genes. In contrast, reduction of FACT levels by siRNA or treatment with the FACT inhibitor curaxin, severely impairs induction of numerous antioxidant and lysosomal genes, revealing a crucial role of FACT as a regulator of cellular homeostasis. Furthermore, upregulation of antioxidant genes induced by TFEB over-expression is significantly reduced by curaxin, consistent with a role of FACT as a TFEB transcriptional activator. Together, our data show that chromatin remodeling at the promoter of stress-responsive genes by FACT is important for efficient expression of TFEB and TFE3 targets, thus providing a link between environmental changes, chromatin modifications and transcriptional regulation.Abbreviations: ADNP2, ADNP homeobox 2; ATP6V0D1, ATPase H+ transporting V0 subunit d1; ATP6V1A, ATPase H+ transporting V1 subunit A; ATP6V1C1, ATPase H+ transporting V1 subunit C1; CSNK2/CK2, casein kinase 2; CLCN7, chloride voltage-gated channel 7; CTSD, cathepsin D; CTSZ, cathepsin Z; EBSS, earle's balanced salt solution; FACT complex, facilitates chromatin transcription complex; FOXO3, forkhead box O3; HEXA, hexosaminidase subunit alpha; HIF1A, hypoxia inducible factor 1 subunit alpha; HMOX1, heme oxygenase 1; LAMP1, lysosomal associated membrane protein 1; MAFF, MAF bZIP transcription factor F; MAFG, MAF bZIP transcription factor G; MCOLN1, mucolipin TRP cation channel 1; MTORC1, mechanistic target of rapamycin kinase complex 1; NaAsO2, sodium arsenite; POLR2, RNA polymerase II; PPARGC1A, PPARG coactivator 1 alpha; PYROXD1, pyridine nucleotide-disulfide oxidoreductase domain 1; RRAGC, Ras related GTP binding C; SEC13, SEC13 homolog, nuclear pore and COPII coat complex component; SLC38A9, solute carrier family 38 member 9; SSRP1, structure specific recognition protein 1; SUPT16H, SPT16 homolog, facilitates chromatin remodeling subunit; TFEB, transcription factor EB; TFE3, transcription factor binding to IGHM enhancer 3; TXNRD1, thioredoxin reductase 1; UVRAG, UV radiation resistance associated; WDR59, WD repeat domain 59.


Antioxidants , Transient Receptor Potential Channels , Adenosine Triphosphatases/metabolism , Antioxidants/metabolism , Autophagy/genetics , Basic Helix-Loop-Helix Leucine Zipper Transcription Factors/metabolism , Casein Kinase II/metabolism , Cathepsin D/metabolism , Cathepsin Z/genetics , Cathepsin Z/metabolism , Chlorides/metabolism , Chromatin/metabolism , Disulfides , Guanosine Triphosphate/metabolism , Heme Oxygenase-1/metabolism , Hexosaminidases/genetics , Hexosaminidases/metabolism , Histone Chaperones/genetics , Histone Chaperones/metabolism , Hypoxia-Inducible Factor 1/genetics , Hypoxia-Inducible Factor 1/metabolism , Lysosomal-Associated Membrane Protein 1/metabolism , Lysosomes/metabolism , Mechanistic Target of Rapamycin Complex 1/metabolism , Nucleosomes/metabolism , Nucleotides/metabolism , PPAR gamma/genetics , Pyridines , RNA Polymerase II/genetics , RNA Polymerase II/metabolism , RNA, Small Interfering/metabolism , Sirolimus , Thioredoxin Reductase 1/genetics , Thioredoxin Reductase 1/metabolism , Transient Receptor Potential Channels/metabolism
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