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Mariela Jimenez,Fabiola C. Munoz,Daniel Cervantes-Garcıa,Maritza M. Cervantes,Alicia Hernandez-Mercado,Berenice Barron-Garcıa,Jose L. Moreno Hernandez-Duque,Adrian Rodrıguez-Carlos,Bruno Rivas-Santiag 한국식품영양과학회 2020 Journal of medicinal food Vol.23 No.11
The maintenance of a healthy skin barrier is crucial to prevent and treat atopic dermatitis (AD) lesions and avoid infections. Glycomacropeptide (GMP) is a bioactive peptide that has demonstrated promising results as an anti-inflammatory and antipruritic therapy for experimental AD. This study aimed to analyze the effect of GMP on impaired cutaneous barrier-related signs in a rat model of AD lesions. AD-like dermatitis was induced on the skin by repeated topical applications of 2,4-dinitrochlorobenzene, and animals were orally administered GMP before or after AD induction. The expression of skin structural proteins and antimicrobial peptides (AMPs) was evaluated by immunoblot or immunohistochemistry, epidermal thickening was evaluated by histochemistry, the level of IFN-γ and changes in the microbiota were evaluated by quantitative polymerase chain reaction, and the quantity of fecal short-chain fatty acids (SCFAs) was evaluated by gas chromatography. GMP administration significantly increased filaggrin, β-defensin 2, and cathelicidin-related AMP expression in AD-like lesions. Involucrin expression was not modified. In GMP-treated animals, epidermal thickening and IFN-γ expression were strongly reduced in damaged skin. GMP treatment impacted the skin microbiota and prevented Staphylococcus aureus colonization, which is associated with AD. In addition, high levels of Bifidobacterium were detected in the feces of GMP-treated animals, and the acetic acid and butyric acid contents increased in animals prophylactically administered GMP. These results suggest that GMP markedly prevents or reverses skin barrier damage in rat AD-like lesions through a bifidogenic effect that induces fecal SCFA production with prolonged treatment. Our findings provide evidence that GMP may represent an optimum strategy for the therapy of the dysfunctional cutaneous barrier in AD.
Hodzic, Alma,Kasibhatla, Prasad S.,Jo, Duseong S.,Cappa, Christopher D.,Jimenez, Jose L.,Madronich, Sasha,Park, Rokjin J. Copernicus GmbH 2016 Atmospheric Chemistry and Physics Vol.16 No.12
<P>Abstract. Recent laboratory studies suggest that secondary organic aerosol (SOA) formation rates are higher than assumed in current models. There is also evidence that SOA removal by dry and wet deposition occurs more efficiently than some current models suggest and that photolysis and heterogeneous oxidation may be important (but currently ignored) SOA sinks. Here, we have updated the global GEOS-Chem model to include this new information on formation (i.e., wall-corrected yields and emissions of semi-volatile and intermediate volatility organic compounds) and on removal processes (photolysis and heterogeneous oxidation). We compare simulated SOA from various model configurations against ground, aircraft and satellite measurements to assess the extent to which these improved representations of SOA formation and removal processes are consistent with observed characteristics of the SOA distribution. The updated model presents a more dynamic picture of the life cycle of atmospheric SOA, with production rates 3.9 times higher and sinks a factor of 3.6 more efficient than in the base model. In particular, the updated model predicts larger SOA concentrations in the boundary layer and lower concentrations in the upper troposphere, leading to better agreement with surface and aircraft measurements of organic aerosol compared to the base model. Our analysis thus suggests that the long-standing discrepancy in model predictions of the vertical SOA distribution can now be resolved, at least in part, by a stronger source and stronger sinks leading to a shorter lifetime. The predicted global SOA burden in the updated model is 0.88 Tg and the corresponding direct radiative effect at top of the atmosphere is −0.33 W m−2, which is comparable to recent model estimates constrained by observations. The updated model predicts a population-weighed global mean surface SOA concentration that is a factor of 2 higher than in the base model, suggesting the need for a reanalysis of the contribution of SOA to PM pollution-related human health effects. The potential importance of our estimates highlights the need for more extensive field and laboratory studies focused on characterizing organic aerosol removal mechanisms and rates. </P>