3'-Sialyllactose prebiotics prevents skin inflammation via regulatory T cell differentiation in atopic dermatitis mouse models.
Li-Jung KangEunjeong OhChanmi ChoHoKeun KwonChoong-Gu LeeJimin JeonHyemi LeeSangil ChoiSeong Jae HanJiho NamChi-Une SongHyunho JungHye-Young KimEun-Jung ParkEun-Ju ChoiJooyoung KimSeong-Il EyunSiyoung YangPublished in: Scientific reports (2020)
3'-Sialyllactose (3'-SL), a natural prebiotic, maintains immune homeostasis and exerts anti-inflammatory and anti-arthritic effects. Although regulatory T cells (Tregs) prevent excessive inflammation and maintain immune tolerance, the effect of 3'-SL on Treg regulation is unclear. This study aimed to investigate the effect of 3'-SL on Treg responses in atopic dermatitis (AD) pathogenesis. Oral administration of 3'-SL reduced AD-like symptoms such as ear, epidermal, and dermal thickness in repeated topical application of house dust mites (HDM) and 2,4-dinitrochlorobenzene (DNCB). 3'-SL inhibited IgE, IL-1β, IL-6, and TNF-α secretion and markedly downregulated AD-related cytokines including IL-4, IL-5, IL-6, IL-13, IL-17, IFN-γ, TNF-α, and Tslp through regulation of NF-κB in ear tissue. Additionally, in vitro assessment of Treg differentiation revealed that 3'-SL directly induced TGF-β-mediated Treg differentiation. Furthermore, 3'-SL administration also ameliorated sensitization and elicitation of AD pathogenesis by suppressing mast cell infiltration and production of IgE and pro-inflammatory cytokines in mouse serum by mediating the Treg response. Furthermore, Bifidobacterium population was also increased by 3'-SL administration as prebiotics. Our data collectively show that 3'-SL has therapeutic effects against AD progression by inducing Treg differentiation, downregulating AD-related cytokines, and increasing the Bifidobacterium population.
Keyphrases
- atopic dermatitis
- regulatory t cells
- oxidative stress
- anti inflammatory
- rheumatoid arthritis
- dendritic cells
- wound healing
- physical activity
- transcription factor
- machine learning
- artificial intelligence
- electronic health record
- weight gain
- lps induced
- big data
- climate change
- drug induced
- high glucose
- health risk assessment