Project description:Atopic dermatitis (AD) is a common skin disease worldwide characterized by itchy eczema that undergoes cycles of exacerbation and remission. While several biomarkers reflect AD severity, reliable markers for predicting disease onset and recurrence remain unclear. The dynamical network biomarker (DNB) theory, which detects pre-disease states, or pre-symptomatic states by analyzing characteristic network fluctuations just before phase transitions from healthy states to disease states. To investigate the applicability of DNB theory to AD, we conducted blood transcriptome analysis in NC/Nga mice before and after the onset of AD-like dermatitis. We identified 356 DNB genes whose temporal fluctuations enabled the detection of the pre-disease state preceding AD-like dermatitis onset. These genes were significantly enriched in pathways related to endoplasmic reticulum stress and apoptosis; fluctuations in these pathways may be associated with the onset of AD. Our study indicates that the DNB theory may be applicable to AD and that identifying a pre-disease state may enable early intervention and disease prevention. Collectively, this approach could provide valuable insights into maintaining long-term remission and improving AD management strategies.
Project description:We identified zinc-alpha-2-glycoprotein (ZAG), a 41-kDa adipokine that regulates body weight, lipid, and mobilization, as a novel biomarker for AD. ZAG levels were consistently decreased in sera, T cells, and skin in human AD patients compared with healthy controls. We used microarrays to obtain the change of signaling molecules by topical treatment of recombinant ZAG using atopic dermatitis induced mouse model.
Project description:The study demonstrates the effects of dietary grape powder against atopic dermatitis in 2,4-dinitrofluorobenzene-induced atopic dermatitis in NC/NgaTndCrlj mice. To uncover molecular mechanism(s) of biological responses of grape powder, dorsal skin samples from normal control (noAD), atopic dermatitis control (ctlAD) and 5% grape powder (5GP) prevention groups were analyzed using gel-free quantitative global proteomics analysis at the School of Pharmacy Analytical Instrumentation Facility, University of Wisconsin–Madison. Briefly, sample proteins (20 micrograms) were digested with 1 microgram sequencing grade trypsin and analyzed by nano-LC/MS/MS. The data were searched against the Swiss-Prot mouse proteome database using the Sequest HT search engine in the Proteome Discoverer 1.4 software, and data were aligned using the ChromAlign algorithm. Quantitation of peptides was performed on processed data using SIEVE 2.1 (ThermoFisher Scientific).
Project description:In this study we applied genomic profiling to evaluate the transcriptomic differences between murine models ot atopic dermatitis. We evaluated the expression data of five models and their respective controls, and one previously published murine dataset (GSE50400). The included models were groupe 1 (Lesional: Flaky tail and FLG mutant; Control: C57BL/6NCrSlc), Group 2 (Lesional: NC/Nga(+mite); Control: NC/Nga(-mite)), Group 3 (Lesional: OVA-ODT 24h; Control: C57BL/6NCrSlc), and Group 4 (Lesional: OXA 2h; Control: BALB/c,Acetone).
Project description:Atopic dermatitis (AD) is a common pruritic dermatitis with macroscopically nonlesional skin that is often abnormal. Therefore, we used high-density oligonucleotide arrays to identify cutaneous gene transcription changes associated with early AD inflammation as potential disease control targets. Skin biopsy specimens analyzed included normal skin from five healthy nonatopic adults and both minimally lesional skin and nearby or contralateral nonlesional skin from six adult AD patients. Keywords: disease state analysis
Project description:Atopic dermatitis was induced on dorsal skin of 7-10 week-old C57BL/6 female mice by bi- or tri-daily MC903 treatment. On day 8, viable mouse eosinophils (CD45+F4/80+SiglecF+) were sorted from skin regions of healthy or vehicle/treated atopic dermatitis or femur/tibia-derived bone marrow by FACS. Samples were paired within individual mice (4 mice each). RNA from 500 cells were isolated and profile for transcriptome by sequencing.