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 We used high-density oligonucleotide Affymetrix Human U133A GeneChip 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.
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:Surgical specimens from children with infantile hemangioma or lymphatic malformations, as well as healthy appearing adjacent skin, were analyzed by microarray analysis of microRNA expression. Unsupervised hierarchical clustering was performed to identify microRNAs that were differentially expressed in IH compared to lymphatic malformations and skin
Project description:Background: DOCK8 deficiency is an autosomal recessive form of hyperimmunoglobulinemia E syndrome (HIES). Severe atopic dermatitis (AD) shares with DOCK8 deficiency some clinical symptoms, including eczema, eosinophilia, and increased serum IgE levels. The deficiency of DOCK8 protein is potentially a life-threatening autosomal recessive HIES and only curable with bone marrow transplantation. Despite identified metabolomics and cytokine biomarkers, novel proteomics biomarkers need to be identified, as the connecting networks are critical to our understanding of this disease. Hence we performed serum proteomics profiling using LC-MSE SynaptG2. Method: Label-free untargeted proteomics analysis was used to identify potentially reliable, sensitive, and specific protein biomarkers in serum collected from DOCK8 (n=10), AD (n=9) patients, which were compared to ctrls (n=5). Results: From a total of 275 quantifiable proteins, binary comparisons between AD vs. Ctrl, DOCK8 vs. Ctrl, and DOCK8 vs. AD revealed 109, 105 and 85 dysregulated proteins, respectively. 24 among 85 proteins were specific potential biomarkers among the DOCK8 and AD groups. The sensitivity and specificity of few proteins like Claspin, Immunoglobulin kappa and heavy, complement components as potential biomarkers to distinguish between DOCK8 and AD patients were evaluated using the receiver operating characteristic curve. DOCK8 deficiency and AD groups' profiling revealed a shared role of ERK1/2 among the commonly dysregulated proteins. Conclusion: In this study, we have identified potential proteomics biomarkers and profile to distinguish between DOCK8 and AD, with possible diagnostic and therapeutic applications to help create effective interventions for managing these diseases. Further studies to confirm these associations in prospective cohorts are warranted.
Project description:To examine the effect of DOCK8 deficiency on helper T cell differentiation, we employed microarray expression profiling and found that 850 genes were expressed at higher levels in Dock8–/– AND CD4+ T cells than Dock8+/– controls after antigen stimulation.
Project description:Genome wide DNA methylation profiling of isolated monocyte samples from healthy Kenyan children, the same children during an episode of acute malaria, healthy Kenyan adults, and healthy adults from the United States. The Illumina Infinium MethylationEPIC BeadChip microarray was used to obtain DNA methylation profiles across approximately 860,000 CpGs in negatively selected monocyte samples. Samples included monocytes from 8 children from western Kenya obtained while healthy and matching samples from the same 8 Kenyan children obtained during an episode of acute uncomplicated Plasmodium falciparum malaria, 8 healthy malaria-immune adults from western Kenya, and 8 healthy malaria-naive adults from the US. Abstract -- Background: Age-related changes in adaptive and innate immune cells have been associated with a decline in effective immunity and chronic, low-grade inflammation. Epigenetic, transcriptional, and functional changes in monocytes occur with aging, though most studies to date have focused on differences between young adults and the elderly in populations with European ancestry; few data exist regarding changes that occur in circulating monocytes during the first few decades of life or in African populations. We analyzed DNA methylation profiles, cytokine production, and inflammatory gene expression profiles in monocytes from young adults and children from western Kenya. Results: We identified several hypo- and hyper-methylated CpG sites in monocytes from Kenyan young adults vs. children that replicated findings in the current literature of differential DNA methylation in monocytes from elderly persons vs. young adults across diverse populations. Differentially methylated CpG sites were also noted in gene regions important to inflammation and innate immune responses. Monocytes from Kenyan young adults vs. children displayed increased production of IL-8, IL-10, and IL-12p70 in response to TLR4 and TLR2/1 stimulation as well as distinct inflammatory gene expression profiles. Conclusions: These findings complement previous reports of age-related methylation changes in isolated monocytes and provide novel insights into the role of age-associated changes in innate immune functions.
Project description:Atopic dermatitis (AD) is a common chronic skin disease, affecting >15% of children and 2-10% of adults worldwide. Understanding pathogenic mechanisms of the onset and dynamic progression of AD is required to design its effective treatments. The kinetical analysis of transcriptome in a mouse AD model revealed the pathways that led a vulnerable background and were critical to the onset of disease progress.