Research progress of nanocarriers for gene therapy targeting abnormal glucose and lipid metabolism in tumors

Zeng, Xianhu; Li, Zhipeng; Zhu, Chunrong; Xu, Lisa X.; Sun, Yong; Han, Shangcong

doi:10.1080/10717544.2021.1995081

Cited by 9 publications

(2 citation statements)

References 169 publications

(139 reference statements)

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“…Therefore, it is urgent to find new predictive biomarkers for the early diagnosis and intervention of SCM. In recent years, with the development of targeted gene therapy, targeted gene technology has achieved significant success in the early diagnosis, treatment, and prediction of prognosis in a variety of diseases ( Bakhshinejad et al, 2014 ; Zeng et al, 2021 ), which provides a direction for early diagnosis of SCM. Ferroptosis is closely associated with the development of various cardiovascular diseases, including coronary artery disease, myocardial infarction and SCM ( Fang et al, 2019 ; Wang et al, 2020 ).…”

Section: Discussionmentioning

confidence: 99%

Identification and Validation of Ferroptosis-Related Biomarkers in Septic Cardiomyopathy via Bioinformatics Analysis

et al. 2022

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Septic cardiomyopathy (SCM) is a cardiac dysfunction caused by severe sepsis and septic shock that increases the risk of heart failure and death and its molecular mechanism remains unclear. Ferroptosis, a novel form of programmed cell death, has been reported to be present in the heart tissue of patients with sepsis, which demonstrated that ferroptosis may be a potential mechanism of myocardial injury in SCM. Therefore, we explored the role of ferroptosis-related genes (FRGs) in SCM and aimed to identify pivotal ferroptosis-related targets in SCM and potential therapeutic targets involved in the pathological process of SCM. To explore the regulatory mechanisms of ferroptosis in SCM, we identified differentially expressed genes (DEGs) in SCM and FRGs by bioinformatics analysis, and further identified hub genes. And the crucial microRNAs (miRNAs)-FRGs regulatory network was subsequently constructed. Finally, several candidate drugs associated with the hub genes were predicted, and Real-time quantitative reverse Transcription PCR (qRT-PCR) and western blotting analysis were performed to confirm the abnormal expression of hub genes. In this study, we identified several FRGs that may be involved in the pathogenesis of SCM, which helps us further clarify the role of ferroptosis in SCM and deeply understand the molecular mechanisms and potential therapeutic targets of SCM.

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Section: Discussionmentioning

confidence: 99%

Identification and Validation of Ferroptosis-Related Biomarkers in Septic Cardiomyopathy via Bioinformatics Analysis

et al. 2022

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“…With the development of genomics and the continuous maturation of gene sequencing technology, target gene technology is also increasingly used for disease localization, early diagnosis and treatment ( 33 , 34 ). The construction of gene co-expression networks is an important direction of current disease research.…”

Section: Discussionmentioning

confidence: 99%

Identification of immune-related hub genes and miRNA-mRNA pairs involved in immune infiltration in human septic cardiomyopathy by bioinformatics analysis

Sun²,

Ma³

et al. 2022

Front. Cardiovasc. Med.

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Septic cardiomyopathy (SCM) is a serious complication caused by sepsis that will further exacerbate the patient's prognosis. However, immune-related genes (IRGs) and their molecular mechanism during septic cardiomyopathy are largely unknown. Therefore, our study aims to explore the immune-related hub genes (IRHGs) and immune-related miRNA-mRNA pairs with potential biological regulation in SCM by means of bioinformatics analysis and experimental validation.MethodFirstly, screen differentially expressed mRNAs (DE-mRNAs) from the dataset GSE79962, and construct a PPI network of DE-mRNAs. Secondly, the hub genes of SCM were identified from the PPI network and the hub genes were overlapped with immune cell marker genes (ICMGs) to further obtain IRHGs in SCM. In addition, receiver operating characteristic (ROC) curve analysis was also performed in this process to determine the disease diagnostic capability of IRHGs. Finally, the crucial miRNA-IRHG regulatory network of IRHGs was predicted and constructed by bioinformatic methods. Real-time quantitative reverse transcription-PCR (qRT-PCR) and dataset GSE72380 were used to validate the expression of the key miRNA-IRHG axis.ResultThe results of immune infiltration showed that neutrophils, Th17 cells, Tfh cells, and central memory cells in SCM had more infiltration than the control group; A total of 2 IRHGs were obtained by crossing the hub gene with the ICMGs, and the IRHGs were validated by dataset and qRT-PCR. Ultimately, we obtained the IRHG in SCM: THBS1. The ROC curve results of THBS1 showed that the area under the curve (AUC) was 0.909. Finally, the miR-222-3p/THBS1 axis regulatory network was constructed.ConclusionIn summary, we propose that THBS1 may be a key IRHG, and can serve as a biomarker for the diagnosis of SCM; in addition, the immune-related regulatory network miR-222-3p/THBS1 may be involved in the regulation of the pathogenesis of SCM and may serve as a promising candidate for SCM therapy.

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Nanoparticles as Gene Vectors in Tumor Therapy

Triantafyllopoulou,

Kontogiannis,

Lagopati

et al. 2023

Integration of Biomaterials for Gene Therapy

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Research progress of nanocarriers for gene therapy targeting abnormal glucose and lipid metabolism in tumors

Cited by 9 publications

References 169 publications

Identification and Validation of Ferroptosis-Related Biomarkers in Septic Cardiomyopathy via Bioinformatics Analysis

Identification and Validation of Ferroptosis-Related Biomarkers in Septic Cardiomyopathy via Bioinformatics Analysis

Identification of immune-related hub genes and miRNA-mRNA pairs involved in immune infiltration in human septic cardiomyopathy by bioinformatics analysis

Nanoparticles as Gene Vectors in Tumor Therapy

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