Blockade of S100A3 activity inhibits murine hair growth

Guan, Wen; Deng, Qing; Yu, Xiaopeng; Yuan, Yunsheng; Gao, Jin; Li, Jinjin; Zhou, Libin; Xia, Peng; Han, Gangwen; Wang, Han; Yu, Yan

doi:10.4238/2015.october.28.14

Cited by 4 publications

(5 citation statements)

References 38 publications

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“… 46 , 47 Guan et al . 48 observed the delay of hair follicles entering the growth period, the reduction of hair elongation, and the reduction of the number of hair follicles in subcutaneous tissue by blocking the expression of S100A3, and the downregulation of hair growth induction-related genes in vivo . LGR5 is a stem marker of HFSCs, and HFSCs maintain the growth, shedding, and replacement of hair.…”

Section: Discussionmentioning

confidence: 90%

Construction of regulatory network for alopecia areata progression and identification of immune monitoring genes based on multiple machine-learning algorithms

Xiong

Chen

Liu

et al. 2023

Precision Clinical Medicine

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Objectives Alopecia areata (AA) is an autoimmune related non cicatricial alopecia, with complete alopecia (AT) or generalized alopecia (AU) as severe AA. However, there are limitations in early identification and intervention of AA patients who may progress to severe AA, which will help to improve the incidence rate and prognosis of severe AA. Methods We obtained two AA-related datasets from the GEO database, identified the differentially expressed genes (DEGs), and identified the module genes most related to severe AA through weighted gene co-expression network analysis. Functional enrichment analysis, construction of protein–protein interaction network and competing endogenous RNA network, and immune cell infiltration analysis were performed to clarify the underlying biological mechanisms of severe AA. Subsequently, pivotal immune monitoring genes (IMGs) were screened through multiple machines learning algorithms, and the diagnostic effectiveness of the pivotal IMGs were validated by ROC. Results A total of 150 severe AA-related DEGs were identified, and the upregulated DEGs were mainly enriched in immune response, while the downregulated DEGs were mainly enriched in pathways related to hair cycle and skin development. Following four IMGs (LGR5, SHISA2, HOXC13 and S100A3) with good diagnostic efficiency were obtained. As an important gene of hair follicle stem cells stemness, we verified in vivo that LGR5 downregulation may be an important link leading to severe AA. Conclusion Our findings provide comprehensive understanding of the pathogenesis and underlying biological processes in patients with AA, and identification four potential IMGs, which is helpful for the early diagnosis of severe AA.

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Section: Discussionmentioning

confidence: 90%

Construction of regulatory network for alopecia areata progression and identification of immune monitoring genes based on multiple machine-learning algorithms

Xiong

Chen

Liu

et al. 2023

Precision Clinical Medicine

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show abstract

“…S100a3 (S100 calcium-binding protein A3): S100a3 is associated with cuticle maturation and is thought to contribute to its enhancement [20]. Furthermore, blockade of S100a3 activity inhibits hair growth in mice, suggesting that S100A3 can be used as a target for hair loss treatment [21].…”

Section: Whale Oil (Wo) 3 Weeksmentioning

confidence: 99%

DNA Microarray and Bioinformatic Analysis Reveals the Potential of Whale Oil in Enhancing Hair Growth in a C57BL/6 Mice Model

Shibato,

Takenoya,

Kimura

et al. 2024

Preprint

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Much research has been conducted to determine how hair regeneration is regulated, as this could provide therapeutic, cosmetic, and even psychological interventions for hair loss. The current study focused on the hair growth effect and effective utilization of fatty oil obtained from Bryde's whales through high-throughput DNA microarray approach in conjunction with immunohistochemical observations. The research also examined the mechanisms and factors involved in hair growth. In an experiment using female C57BL/6J mice, the vehicle control group (VC: propylene glycol: ethanol: water), the positive control group (MXD: 3% minoxidil), and the experimental group (WO: 20% Whale Oil) were topically applied to the back of the mouse. The results showed that 3% MXD and 20% WO were more effective than VC in promoting hair growth, especially 20% WO. Furthermore, in hematoxylin and eosin-stained skin tissue, an increase in the number of hair follicles and subcutaneous tissue thickness was observed with 20% WO. Whole-genome transcriptomic analysis also showed that 20% WO may have lower stress- and inflammation-related responses than 3% MXD. Therefore, whale oil can be expected to be used as a safe hair growth agent.

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“…S100a3 (S100 calcium-binding protein A3): S100a3 is associated with cuticle maturation and is thought to contribute to its enhancement [27]. Furthermore, blockade of S100A3 activity inhibits hair growth in mice, suggesting that S100a3 can be used as a target for hair loss treatment [28].…”

Section: Whale Oil (Wo) At 1 Weekmentioning

confidence: 99%

DNA Microarray and Bioinformatic Analysis Reveals the Potential of Whale Oil in Enhancing Hair Growth in a C57BL/6 Mice Dorsal Skin Model

Shibato,

Takenoya,

Kimura

et al. 2024

Genes

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Much research has been conducted to determine how hair regeneration is regulated, as this could provide therapeutic, cosmetic, and even psychological interventions for hair loss. The current study focused on the hair growth effect and effective utilization of fatty oil obtained from Bryde’s whales through a high-throughput DNA microarray approach in conjunction with immunohistochemical observations. The research also examined the mechanisms and factors involved in hair growth. In an experiment using female C57BL/6J mice, the vehicle control group (VC: propylene glycol: ethanol: water), the positive control group (MXD: 3% minoxidil), and the experimental group (WO: 20% whale oil) were topically applied to the dorsal skin of the mouse. The results showed that 3% MXD and 20% WO were more effective than VC in promoting hair growth, especially 20% WO. Furthermore, in hematoxylin and eosin-stained dorsal skin tissue, an increase in the number of hair follicles and subcutaneous tissue thickness was observed with 20% WO. Whole-genome transcriptome analysis also confirmed increases for 20% WO in filaggrin (Flg), a gene related to skin barrier function; fibroblast growth factor 21 (Fgf21), which is involved in hair follicle development; and cysteine-rich secretory protein 1 (Crisp1), a candidate gene for alopecia areata. Furthermore, the results of KEGG pathway analysis indicated that 20% WO may have lower stress and inflammatory responses than 3% MXD. Therefore, WO is expected to be a safe hair growth agent.

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Blockade of S100A3 activity inhibits murine hair growth

Cited by 4 publications

References 38 publications

Construction of regulatory network for alopecia areata progression and identification of immune monitoring genes based on multiple machine-learning algorithms

Construction of regulatory network for alopecia areata progression and identification of immune monitoring genes based on multiple machine-learning algorithms

DNA Microarray and Bioinformatic Analysis Reveals the Potential of Whale Oil in Enhancing Hair Growth in a C57BL/6 Mice Model

DNA Microarray and Bioinformatic Analysis Reveals the Potential of Whale Oil in Enhancing Hair Growth in a C57BL/6 Mice Dorsal Skin Model

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