INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
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2025
·Vol. 26
·期 8
·3735
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IF 4.9
Xiyuan Liu,Zhaoze Ni,Jing Zhang,Xiaoyan Lin,Chenxin Wu,Yuyang Wu,Lingqin Dong,Zongduan Zhang,Zai-Long Chi
The retinal pigment epithelium (RPE) serves as a critical guardian of subretinal homeostasis, with its dysfunction implicated in major retinal pathologies, including age-related macular degeneration (AMD) and retinitis pigmentosa. While cellular senescence has emerged as a key driver of RPE degeneration, the molecular mechanisms underlying this process remain incompletely defined. Emerging evidence implicates dual-specificity phosphatase 4 (DUSP4) in cellular stress responses through its antioxidant and anti-inflammatory capacities, yet its role in RPE pathophysiology remains unexplored. Our study reveals a compensatory increase in DUSP4 expression during AMD-associated RPE senescence. To functionally characterize this observation, we knocked down DUSP4 in the RPE of mice via subretinal injection of AAV-shDUSP4. In a sodium iodate-induced dry AMD model, mice with DUSP4 knockdown presented more severe visual impairment than control mice did. To further investigate the molecular mechanism, stable DUSP4-knockout cell lines were constructed via CRISPR/Cas9 technology. The high expression of senescence markers in the DUSP4-knockout cell lines was reversed by DUSP4 overexpression. Furthermore, DUSP4 coordinates the modulation of cell cycle, stress response, and pro-inflammatory signaling by inhibiting the p53, p38, and NF-kB pathways. These findings establish DUSP4 as a multi-functional regulator of RPE senescence. Our work not only elucidates a novel DUSP4-dependent mechanism in AMD pathogenesis but also highlights its therapeutic potential for preserving RPE function in AMD.
研究领域:
眼科学
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分子生物学
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细胞生物学
✓ 已验证
产品关联
DOI
PubMed
高影响因子
Biomed Research International
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2021
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IF 3.411
Ling Kui,Min Li,Xiaonan Yang,Ling Yang,Qinghua Kong,Yunbing Pan,Zetan Xu,Shouling Wang,Dandan Mo,Yang Dong,Yao Liu,Jianhua Miao
Lung cancer is known as the leading cause which presents the highest fatality rate worldwide; non-small-cell lung cancer (NSCLC) is the most prevalent type of lung carcinoma with high severity and affects 80% of patients with lung malignancies. Up to now, the general treatment for NSCLC includes surgery, chemotherapy, and radiotherapy; however, some therapeutic drugs and approaches could cause side effects and weaken the immune system. The combination of conventional therapies and traditional Chinese medicine (TCM) significantly improves treatment efficacy in lung cancer. Therefore, it is necessary to investigate the chemical composition and underlying antitumor mechanisms of TCM, so as to get a better understanding of the potential natural ingredient for lung cancer treatment. In this study, we selected 78 TCM to treat NSCLC cell line (A549) and obtained 92 transcriptome data; differential expression and WGCNA were applied to screen the potential natural ingredient and target genes. The sample which was treated with A. pierreana generated the most significant DEG set, including 6130 DEGs, 2479 upregulated, and 3651 downregulated. KEGG pathway analyses found that four pathways (MAPK, NF-kappa B, p53, and TGF-beta signaling pathway) were significantly enriched; 16 genes were significantly regulated in these four pathways. Interestingly, some of them such as EGFR, DUSP4, IL1R1, IL1B, MDM2, CDKNIA, and IDs have been used as the target biomarkers for cancer diagnosis and therapy. In addition, classified samples into 14 groups based on their pharmaceutical effects, WGCNA was used to identify 27 modules. Among them, green and darkgrey were the most relevant modules. Eight genes in the green module and four in darkgrey were identified as hub genes. In conclusion, we screened out three new TCM (B. fruticose, A. pierreana, and S. scandens) that have the potential to develop natural anticancer drugs and obtained the therapeutic targets for NSCLC therapy. Our study provides unique insights to screen the natural components for NSCLC therapy using high-throughput transcriptome analysis.
研究领域:
癌症生物学
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药理学
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分子生物学
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生物信息学
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传统中药
✓ 已验证
DOI
PubMed
高影响因子
危险品化学品经营许可证（带存储）