Identification of lncRNA-miRNA-mRNA Regulatory Network and Therapeutic Agents for Skin Aging by Bioinformatics Analysis

Xiao, Xiao; Feng, Hao; Liao, Yangying; Tang, Hua; Li, Lan; Li, Ke; Hu, Feng

doi:10.1007/s10528-023-10334-8

Cited by 2 publications

(2 citation statements)

References 41 publications

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“…LncRNAs are also involved in skin aging, being potential therapeutic targets to revert this process [82,83]. In fact, lncRNA regulation has been successfully tested to overcome the aging of skin cells and promote their regeneration (Table 4).…”

Section: Skin Agingmentioning

confidence: 99%

The Impact of Long Noncoding RNAs in Tissue Regeneration and Senescence

Tavares e Silva,

Pessoa,

Nóbrega-Pereira

et al. 2024

Cells

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Overcoming senescence with tissue engineering has a promising impact on multiple diseases. Here, we provide an overview of recent studies in which cellular senescence was inhibited through the up/downregulation of specific lncRNAs. This approach prevented senescence in the bones, joints, nervous system, heart, and blood vessels, with a potential impact on regeneration and the prevention of osteoarthritis and osteoporosis, as well as neurodegenerative and cardiovascular diseases. Senescence of the skin and liver could also be prevented through the regulation of cellular levels of specific lncRNAs, resulting in the rejuvenation of cells from these organs and their potential protection from disease. From these exciting achievements, which support tissue regeneration and are not restricted to stem cells, we propose lncRNA regulation through RNA or gene therapies as a prospective preventive and therapeutic approach against aging and multiple aging-related diseases.

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Section: Skin Agingmentioning

confidence: 99%

The Impact of Long Noncoding RNAs in Tissue Regeneration and Senescence

Tavares e Silva,

Pessoa,

Nóbrega-Pereira

et al. 2024

Cells

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“…1.1.6 Bioinformatics analysis of lncRNA-miRNA-mRNA networks in skin aging Xiao et al (2023) advanced computational and bioinformatics methodologies, which were harnessed to comprehensively analyze extensive datasets containing genetic and molecular information pertinent to the intricate phenomenon of skin aging. They meticulously examined two distinct gene expression datasets, namely, GSE55118 and GSE72264, which are particularly pertinent to skin aging processes.…”

Section: Lncrna Pvt1-mir −551b-3p-aqp3 Network In Skin Photoagingmentioning

confidence: 99%

LncRNA-miRNA-mRNA regulatory networks in skin aging and therapeutic potentials

Kim

2023

Front. Physiol.

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Skin aging is a complex process influenced by intrinsic and extrinsic factors. Although dermatology offers advanced interventions, molecular mechanisms in skin aging remain limited. Competing endogenous RNAs (ceRNAs), a subset of coding or non-coding RNAs, regulate gene expression through miRNA competition. Several ceRNA networks investigated up to now offer insights into skin aging and wound healing. In skin aging, RP11-670E13.6-miR-663a-CDK4/CD6 delays senescence induced by UVB radiation. Meg3-miR-93-5p-epiregulin contributes to UVB-induced inflammatory skin damage. Predicted ceRNA networks reveal UVA-induced photoaging mechanisms. SPRR2C sequesters miRNAs in epidermal aging-associated alteration of calcium gradient. H19-miR-296-5p-IGF2 regulates dermal fibroblast senescence. PVT1-miR-551b-3p-AQP3 influences skin photoaging. And bioinformatics analyses identify critical genes and compounds for skin aging interventions. In skin wound healing, MALAT1-miR-124 aids wound healing by activating the Wnt/β-catenin pathway. Hair follicle MSC-derived H19 promotes wound healing by inhibiting pyroptosis. And the SAN-miR-143-3p-ADD3 network rejuvenates adipose-derived mesenchymal stem cells in wound healing. Thus, ceRNA networks provide valuable insights into the molecular underpinnings of skin aging and wound healing, offering potential therapeutic strategies for further investigation. This comprehensive review serves as a foundational platform for future research endeavors in these crucial areas of dermatology.

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Identification of lncRNA-miRNA-mRNA Regulatory Network and Therapeutic Agents for Skin Aging by Bioinformatics Analysis

Cited by 2 publications

References 41 publications

The Impact of Long Noncoding RNAs in Tissue Regeneration and Senescence

The Impact of Long Noncoding RNAs in Tissue Regeneration and Senescence

LncRNA-miRNA-mRNA regulatory networks in skin aging and therapeutic potentials

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