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find Keyword "molecular mechanism" 10 results
  • Research on Progress and Prospect of Kinase S6K1

    Obesity is a prevalent metabolic disorder,which seriously affects human health and has become the world's public health problem. Kinase S6K1, an important downstream effector of mammalian target of rapamycin (mTOR), influences specific pathological responses, including obesity, type 2 diabetes and cancer. Presently, S6K1 has become an attractive therapeutic target in the treatment of these disorders. Here, the functions of kinase S6K1, its molecular regulation mechanisms, related pathogenesis of disease and relevant small molecular inhibitors are reviewed. Finally, the prospect of research toward S6K1 is expected as well.

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  • Research Progress of a Novel Pro-apoptosis Gene PNAS-4 in Gene Therapy and Its Molecular Mechanism Hypotheses

    PNAS-4 is a novel pro-apoptosis gene identified latetly. In recent years, there has been a large number of research reports on the basic studies about PNAS-4 in cancer gene therapy and gene therapy of PNAS-4 alone or combined with chemotherapy or radiotherapy manifested a good application prospect, but its molecular mechanisms to promote apoptosis is not clear yet. In this paper, recent research about PNAS-4 in cancer gene therapy is briefly reviewed, and recent hypotheses on its molecular mechanisms to promote apoptosis are especially elucidated. Based on its newly identified characteristics of structural domain, we made a point that PNAS-4 might regulate functions of some target protein related to apoptosis by deSumoylation as a new deSumoylating isopeptidase, and consequently promote apoptosis.

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  • Effect of Lysophosphatidic Acid on Cell Migration and Its Relative Molecular Mechanisms

    Lysophosphatidic acid (LPA) is a pluripotent lipid mediator and acts via different G-protein-couple LPA receptors. LPA has significant effects on several cellular biological behaviours, such as cell migration, invasion, proliferation and differentiation, etc. Cell migration is essential for tumor progression, and vital for stem cell to repair injured tissues. Increasing evidences have demonstrated that LPA dramatically affects migration capacity of various cells, particularly cancer cells and stem cells. In this paper, we review the effect of LPA on migration of cancer cells and stem cells, and discuss the underlying mechanisms. A better understanding of this process will shed new light on tissue regeneration and the prevention of tumor progression.

    Release date:2016-10-24 01:24 Export PDF Favorites Scan
  • Progress on neurogenesis mechanisms of endogenous adult neural stem cells

    Endogenous adult neural stem cells are closely related to the normal physiological functions of the brain and many neurodegenerative diseases. Neurons are affected by factors such as extracellular microenvironment and intracellular signaling. In recent years, some specific signaling pathways have been found that affect the occurrence of neural stem cells in adult neural networks, including proliferation, differentiation, maturation, migration, and integration with host functions. In this paper, we summarize the signals and their molecular mechanisms, including the related signaling pathways, neurotrophic factors, neurotransmitters, intracellular transcription factors and epigenetic regulation of neuronal differentiation from both the extracellular and intracellular aspects, providing basic theoretical support for the treatment of central nervous system diseases through neural stem cells approach.

    Release date:2019-02-18 02:31 Export PDF Favorites Scan
  • Research progress of exosomes in gastrointestinal cancer

    ObjectiveTo summarize the relationship between exosomes and the occurrence and development of gastrointestinal cancer.MethodsThrough online database, we collected the literatures about the relationship between exosomes and the development of gastrointestinal cancer at home and abroad, and then made an review.ResultsExosomes secreted by gastrointestinal cancer cells were related to tumorigenesis, tumor cell survival, chemoresistance, and early metastasis. Exosomes could play the role of information transmission, and regulation of cell physiology and pathological process in the development of gastrointestinal cancer through a variety of intercellular binding ways, and affectted the occurrence and development of gastrointestinal cancer via epigenetic regulation and tumor related signal transduction mechanism. They had been proved to be biomarkers, targets, and drug carriers for the treatment of gastrointestinalcancer.ConclusionIt is a new way to explore the molecular mechanism of exosomes in the development of gastrointestinal cancer.

    Release date:2020-12-25 06:09 Export PDF Favorites Scan
  • Mining of differentially expressed genes of venous leg ulcers and screening of target genes

    ObjectiveTo explore the differentially expressed genes (DEGs) in venous leg ulcer (VLU) by bioinformatics, and further explore the molecular mechanism of the disease, predict early diagnostic markers and treatment targets.MethodsThe expression profiles of VLU were downloaded from the gene expression omnibus (GEO) database, the DEGs of VLU and inflammatory phase of normal skin healing were identified by R software and used to perform gene ontology (GO) and KEGG pathway enrichment analysis, obtaining the key genes of the pathway. We analyzed the proteins of protein interaction (PPI) network by STRING database and Cytoscape 3.2.1 software to obtain hub genes.ResultsA total of 409 DEGs were obtained, including 173 upregulted genes and 236 downregulted genes. The GO analysis showed that the upregulated DEGs mainly distributed in collagen-containing extracellular matrix (ECM), cornified envelope and collagen trimer, involved in biological processes such as skin development, keratinocyte differentiation and cornification, which mediated molecular functions such as ECM structural constituent, ECM structural constituent conferring tensile strength and integrin binding. The downregulated DEGs mainly distributed in tertiary granule, secretory granule membrane and tertiary granule membrane cornification, involved in biological processes such as response to chemokine, leukocyte migration and neutrophil chemotaxis, which mediated molecular functions such as chemokine activity, chemokine receptor binding and cytokine activity. KEGG pathway enrichment analysis results showed that the upregulated DEGs were mainly enriched in ECM-receptor interaction and protein digestion and absorption pathways, collagen type Ⅰ alpha1 chain (COL1A1), collagen type Ⅰ alpha2 chain (COL1A2), and collagen type Ⅵ alpha 6 chain (COL6A6) were the key genes of pathway; the downregulated DEGs were mainly enriched in Staphylococcus aureus infection, Toll-like receptor signaling pathway and leukocyte transendothelial migration pathways, interleukin (IL)-1β, C-X-C motif chemokine ligand 8 (CXCL8), IL-10, matrix metalloproteinase (MMP)1, and MMP9 were the key genes of pathway. The hub core genes of the PPI network were formyl peptide receptor (FPR)1, FPR2, IL-1β, IL-10, and CXCL8.ConclusionsThe results of this study indicate that the genes and signaling pathways involved in COL1A1, COL1A2, COL6A6, IL-1β, CXCL8, IL-10, MMP1, and MMP9 affect the healing of VLU. FPR1, FPR2, IL-1β, IL-10, and CXCL8 can be used as potential therapeutic targets.

    Release date:2021-04-30 10:45 Export PDF Favorites Scan
  • Current situation and prospects of machine learning applications in the study of esophageal cancer

    China is one of the countries in the world with the highest rate of esophageal cancer. Early detection, accurate diagnosis, and treatment of esophageal cancer are critical for improving patients’ prognosis and survival. Machine learning technology has become widely used in cancer, which is benefited from the accumulation of medical images and advancement of artificial intelligence technology. Therefore, the learning model, image type, data type and application efficiency of current machine learning technology in esophageal cancer are summarized in this review. The major challenges are identified, and solutions are proposed in medical image machine learning for esophageal cancer. Machine learning's potential future directions in esophageal cancer diagnosis and treatment are discussed, with a focus on the possibility of establishing a link between medical images and molecular mechanisms. The general rules of machine learning application in the medical field are summarized and forecasted on this foundation. By drawing on the advanced achievements of machine learning in other cancers and focusing on interdisciplinary cooperation, esophageal cancer research will be effectively promoted.

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  • Research progress of microRNA in intervertebral disc degeneration

    Intervertebral disc degeneration is a multifactorial pathological process which is one of the leading causes of disability worldwide. The main pathological changes of intervertebral disc degeneration are the degradation of extracellular matrix, apoptosis, autophagy, senescence and inflammation. Dysregulation of microRNAs has been implicated in various pathologies, including various degenerative diseases such as disc degeneration. This article reviews the research status of microRNA in degenerative disc pathology, with emphasis on the biological mechanisms and potential therapeutic prospects of microRNA in extracellular matrix degradation, apoptosis, inflammation, and cartilage endplate degeneration.

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  • Advance of varicocele on testicular spermatogenesis

    Varicocele (VC) is one of the common diseases of the male genitourinary system, and its incidence is higher in young adults. Among them, 80%-98% of VC are more likely to occur in the left spermatic vein. Previous research has found that VC could affect the temperature of the local microenvironment of the testis, oxidative stress process in the spermatogenic environment, mitochondrial function of sperm, endocrine system, and apoptosis of testes and epididymal cells. Therefore, VC will have an important impact on spermatogenic process of the testicles to cause male infertility. However, the specific molecular mechanism of VC affecting male spermatogenesis has not been fully studied. Therefore, this article will review the effect and mechanism of VC on testicular spermatogenesis.

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  • Advances in molecular mechanisms and targeted therapy of gastric cancer associated withthe RTK/RAS signaling pathway

    ObjectiveTo understand the molecular mechanisms and targeted therapy research progress of gastric cancer associated with the RTK/RAS signaling pathway, in order to provide reference for treatment of gastric cancer. MethodThe related literatures about the molecular mechanism and targeted therapy of RTK/RAS signaling pathway related gastric cancer at home and abroad in recent years were reviewed. ResultsTargeted therapy had been widely applied in the treatment of gastric cancer associated with the RTK/RAS signaling pathway, showing good efficacy and significantly prolonging patients’ survival time, further deepening the understanding of the molecular mechanisms of gastric cancer. Targeted therapies for gastric cancer associated with the RTK/RAS signaling pathway focused on human epidermal growth factor receptor 2 (HER-2), epidermal growth factor receptor, fibroblast growth factor receptor 2, cellular-mesenchymalepithelial transition factor and Kirsten ratsarcoma viral oncogene homolog associated targets. Currently, there were many drugs targeting HER-2 target, while research on other targets mostly remains in the clinical trial stage, and showing promising prospects. ConclusionTargeted therapy can benefit most patients with gastric cancer, but the drug resistance and multi-drug combination therapy are still difficult problems that we need to overcome in the future.

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