Integrative Network Pharmacology and Proteomics Decipher the Immunomodulatory Mechanism of Sulforaphane Against Intrinsic Skin Aging

Skin aging is characterized by declines in structural functions, contributing to age-associated frailty. Sulforaphane (SFN), a natural anti-inflammatory substance, has been widely applied in multiple types of cancer therapies. However, its role in alleviating intrinsic skin aging remains to be elucidated. Integrative network pharmacology and proteomics were utilized to investigate the underlying mechanisms of SFN in intrinsic skin aging. Fifty-one anti-aging targets of SFN were identified, highlighting its promising regulatory impact on the aging process. Based on an 18-month-old natural aging mouse model, significant alleviation in skin structure, redox homeostasis, and immune cell composition was noted after 2 months of SFN supplementation. Additionally, proteomic analysis demonstrated that SFN reversed the proteomic profile of intrinsic skin aging, with 233 differentially expressed proteins (DEPs) identified in SFN-fed aging mice. Of note, the up-regulated DEPs were highly enriched in the apelin signaling pathway (p = 0.010). Furthermore, immune cell infiltration and whole blood cell analysis revealed that SFN rescued T cells depletion in dermal tissue, which was strongly correlated with DEPs enriched in the SFN-activated apelin signaling pathway. SFN improves skin morphology and immune functions via activating the apelin signaling pathway, suggesting new prime targets in counteracting intrinsic skin aging.

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Publication Details

Journal
Molecular Nutrition & Food Research
Published
2025-10-02
DOI
https://doi.org/10.1002/mnfr.70281
Primary Topic
Circadian rhythm and melatonin
Type
article
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article

Integrative Network Pharmacology and Proteomics Decipher the Immunomodulatory Mechanism of Sulforaphane Against Intrinsic Skin Aging

Hongkang Zhu, Chuyu Fu, Xin Du, Chenchen Zhang et al.
Molecular Nutrition & Food Research
Circadian rhythm and melatonin
article

Integrative Network Pharmacology and Proteomics Decipher the Immunomodulatory Mechanism of Sulforaphane Against Intrinsic Skin Aging

Hongkang Zhu, Chuyu Fu, Xin Du, Chenchen Zhang, Xingyu Yang
article en

Abstract

Skin aging is characterized by declines in structural functions, contributing to age-associated frailty. Sulforaphane (SFN), a natural anti-inflammatory substance, has been widely applied in multiple types of cancer therapies. However, its role in alleviating intrinsic skin aging remains to be elucidated. Integrative network pharmacology and proteomics were utilized to investigate the underlying mechanisms of SFN in intrinsic skin aging. Fifty-one anti-aging targets of SFN were identified, highlighting its promising regulatory impact on the aging process. Based on an 18-month-old natural aging mouse model, significant alleviation in skin structure, redox homeostasis, and immune cell composition was noted after 2 months of SFN supplementation. Additionally, proteomic analysis demonstrated that SFN reversed the proteomic profile of intrinsic skin aging, with 233 differentially expressed proteins (DEPs) identified in SFN-fed aging mice. Of note, the up-regulated DEPs were highly enriched in the apelin signaling pathway (p = 0.010). Furthermore, immune cell infiltration and whole blood cell analysis revealed that SFN rescued T cells depletion in dermal tissue, which was strongly correlated with DEPs enriched in the SFN-activated apelin signaling pathway. SFN improves skin morphology and immune functions via activating the apelin signaling pathway, suggesting new prime targets in counteracting intrinsic skin aging.

Molecular Nutrition & Food ResearchVol. 69(23)
Anhui Medical University (CN), Second Affiliated Hospital of Anhui Medical University (CN), Yangzhou University (CN)
Openalex Percentile: Top 71%
Circadian rhythm and melatonin
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Integrative Network Pharmacology and Proteomics Decipher the Immunomodulatory Mechanism of Sulforaphane Against Intrinsic Skin Aging — Hongkang Zhu, Chuyu Fu, et al. · Molecular Nutrition & Food Research (2025) | TGRS Research Map | TGRS