Browse
Submit Data
Databases
API
Help

Dataset Information

18 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Skin Microbiome in Disease States: Atopic Dermatitis and Immunodeficiency

ABSTRACT:

The NIH Intramural Skin Microbiome Consortium (NISMC) is a collaboration of investigators with primary expertise in genomics, bioinformatics, large-scale DNA sequencing, dermatology, immunology, allergy, infectious disease, and clinical microbiology. Atopic dermatitis (AD, "eczema") is a chronic relapsing skin disorder that affects ~15% of U.S. children and is associated with $1 billion of medical costs annually. AD is characterized by dry, itchy skin, infiltrated with immune cells. Colonization by Staphylococcus aureus (S. aureus) is ten-fold more common in AD patients and is associated with disease flares. We hypothesize that, in addition to S. aureus, AD may also be associated with additional novel microbes and/or selective shifts of commensal microbes that are relevant to disease progression. The NISMC seeks to define the microbiota that resides in and on the skin and nares of three patient groups, all of whom have eczematous lesions and are currently seen at the NIH Clinical Center: (1) AD patients; (2) Wiskott-Aldrich syndrome (WAS) patients; and (3) Hyper IgE syndrome (HIES) patients. Examination of the microbiome of patients with WAS or HIES syndromes, both rare immunodeficiencies, will advance our understanding of how an individual's immune system shapes their cutaneous microbial community. We are performing a prospective longitudinal study that follows these groups of patient thorough the cycles of eczema flares, ascertaining clinical data and samples at each stage.

PROVIDER: phs000266.v2.p1 | EGA |

REPOSITORIES: EGA

ACCESS DATA

Json Xml

Similar Datasets

Skin Microbiome in Disease States: Atopic Dermatitis and Immunodeficiency

Project description:<p>The NIH Intramural Skin Microbiome Consortium (NISMC) is a collaboration of investigators with primary expertise in genomics, bioinformatics, large-scale DNA sequencing, dermatology, immunology, allergy, infectious disease, and clinical microbiology. Atopic dermatitis (AD, "eczema") is a chronic relapsing skin disorder that affects ~15% of U.S. children and is associated with $1 billion of medical costs annually. AD is characterized by dry, itchy skin, infiltrated with immune cells. Colonization by Staphylococcus aureus (S. aureus) is ten-fold more common in AD patients and is associated with disease flares. We hypothesize that, in addition to S. aureus, AD may also be associated with additional novel microbes and/or selective shifts of commensal microbes that are relevant to disease progression. The NISMC seeks to define the microbiota that resides in and on the skin and nares of three patient groups, all of whom have eczematous lesions and are currently seen at the NIH Clinical Center: (1) AD patients; (2) Wiskott-Aldrich syndrome (WAS) patients; and (3) Hyper IgE syndrome (HIES) syndrome patients. Examination of the microbiome of patients with WAS or HIES syndromes, both rare immunodeficiencies, will advance our understanding of how an individual's immune system shapes their cutaneous microbial community. We are performing a prospective longitudinal study that follows these groups of patient thorough the cycles of eczema flares, ascertaining clinical data and samples at each stage.</p>

| phs000266 | dbGaP

Transcription profiling of lesional and non-lesional skin from actopic dermititis patients and normal skin

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.

2006-10-01 | E-GEOD-5667 | biostudies-arrayexpress

Distinctive Transcriptional and Microbial Signature in Cutaneous Acute Graft-vs-Host-Disease

Project description:Skin acute graft-vs-host disease (aGVHD) is often the first manifestation of GVHD, yet very few preclinical and clinical studies have focused on this target organ, leaving a critical information gap in the pathophysiology of GVHD. We hypothesized that analysis of host gene expression and microbiome profiling could yield novel insights into the molecular and immunologic mechanisms underlying skin GVHD. Our objectives were to determine the differential host gene expression and microbiome profile of human skin aGVHD samples compared to normal skin, and aGVHD corticosteroid responders to non-responders. We performed RNA-Sequencing on lower arm biopsies from 45 patients compared to 10 healthy controls. Our findings suggest a distinctive transcriptional signature of cutaneous aGVHD, that could identify potentially actionable targets for prevention or treatment of corticosteroid refractory disease. Our analysis suggests a key role of dendritic cells and macrophages, potentially mediated by differential expression of MIF, in the development of cutaneous aGVHD and corticosteroid responsiveness. Additionally, we describe a unique microbial signature in cutaneous aGVHD that includes skin microbes not previously described in this population.

2024-04-12 | GSE263557 | GEO

Transcription profiling of skin from patients with moderate to severe atopic dermatitis before and after treatment with IL-4R? inhibitor dupilumab (REGN668/SAR231893)

Project description:Atopic dermatitis (AD) is the most common inflammatory skin disease, with high unmet need for new therapies that are safe for chronic use. Emerging data suggest that TH2-cytokines play important roles in a variety of allergic and atopic conditions, including asthma and AD. In early phase clinical trials, dupilumab (a fully human monoclonal antibody against IL-4R? that potently blocks IL-4 and IL-13 signaling) rapidly and markedly improved clinical measures in adults with either asthma (with elevated eosinophil counts) or moderate-to-severe AD. The pathomechanisms that may be impacted by IL-4/13 blockade in these disease settings have not yet been characterized in detail. Transcriptome analyses in pre- and post-treatment skin biopsies from patients with moderate-to-severe AD treated with dupilumab or placebo in two completed clinical trials 18 Patients with AD treated with dupilumab or placebo. 28 biopsies in lesional (LS) Skin (16 pre-treatment and 12 post-treatment). 12 biopsies in non-lesional (NL) Skin (7 pre-treatment and 5 post treatment)

2014-12-04 | E-GEOD-59294 | biostudies-arrayexpress

Transcription profiling by array of lesional and non-lesional skin from atopic dermatitis patients and healthy individuals

Project description:Atopic dermatitis (AD) is a common inflammatory skin disease with a T(H)2 and T22 immune polarity. Despite recent data showing a genetic predisposition to epidermal barrier defects in some patients, a fundamental debate still exists regarding the role of barrier abnormalities versus immune responses in initiating the disease. An extensive study of nonlesional AD (ANL) skin is necessary to explore whether there is an intrinsic predisposition to barrier abnormalities, background immune activation, or both in patients with AD. We sought to characterize ANL skin by determining whether epidermal differentiation and immune abnormalities that characterize lesional AD (AL) skin are also reflected in ANL skin. We performed genomic and histologic profiling of both ANL and AL skin lesions (n = 12 each) compared with normal human skin (n = 10). We found that ANL skin is clearly distinct from normal skin with respect to terminal differentiation and some immune abnormalities and that it has a cutaneous expansion of T cells. We also showed that ANL skin has a variable immune phenotype, which is largely determined by disease extent and severity. Whereas broad terminal differentiation abnormalities were largely similar between involved and uninvolved AD skin, perhaps accounting for the background skin phenotype, increased expression of immune-related genes was among the most obvious differences between AL and ANL skin, potentially reflecting the clinical disease phenotype. Our study implies that systemic immune activation might play a role in alteration of the normal epidermal phenotype, as suggested by the high correlation in expression of immune genes in ANL skin with the disease severity index. Genomic profile of paired samples of ANL and AL skin lesions from 12 patients compared with normal human skin (n = 8). For some patients, only 1 sample was available.

2011-10-12 | E-GEOD-32924 | biostudies-arrayexpress

Transcription data from Normal Skin and Nonlesional and Lesional Atopic Dermatitis/Eczema Skin

2006-10-01 | GSE5667 | GEO

Senescent fibroblasts and innate immune cell activation might play a role in the pathogenesis of elderly atopic dermatitis

Project description:Elderly atopic dermatitis is a subtype of AD defined by age (over 60 years), which has different clinical manifestations and distinct inflammatory patterns from AD in infants, children, and adolescents/adults. However, the molecular characteristics of elderly AD remain to be clarified.We sought to characterize the molecular features of skin lesions and peripheral blood mononuclear cells (PBMCs) in patients with AD across various age groups, focusing on elderly AD.We identified the molecular phenotypes of skin lesions and PBMCs in elderly individuals with AD. Fibroblasts, innate immune cells, and SASP might play important roles in the pathogenesis of elderly AD.

2024-02-23 | GSE256050 | GEO

The Skin Microbiome of Mycosis fungoides

Project description:The skin Microbiome stratifies Patients with CTCL into two subgroups. One subgroup has a balanced microbiome, while the other subgroups has a skin dybiosis with S. aureus outgrow. This is accompanied by impaired TCR repertoir and poor clinical outcome.

2023-12-01 | GSE221149 | GEO

T cell receptor repertoire of the skin of Mycosis fungoides patients

Project description:The skin Microbiome stratifies Patients with CTCL into two subgroups. One subgroup has a balanced microbiome, while the other subgroups has a skin dybiosis with S. aureus outgrowth. This is accompanied by impaired TCR repertoire and poor clinical outcome.

2023-12-01 | GSE218874 | GEO

Multi-omic profiling of cutaneous leishmaniasis infections reveals microbiota-driven mechanisms underlying disease severity

Project description:Leishmania braziliensis infection results in inflammation and skin injury, with highly variable and unpredictable clinical outcomes. Here, we investigated the potential impact of microbiota on infection-induced inflammatory responses and disease resolution by conducting an integrated analysis of the skin microbiome and host transcriptome on a cohort of 62 L. braziliensis-infected patients. We found that overall bacterial burden and microbiome configurations dominated with Staphylococcus spp. were associated with delayed healing and enhanced inflammatory responses, especially by IL-1 family members. Dual RNA-seq of human lesions revealed that high lesional S. aureus transcript abundance was associated with delayed healing and increased expression of IL-1β. This cytokine was critical for modulating disease outcome in L. braziliensis-infected mice colonized with S. aureus, as its neutralization reduced pathology and inflammation. These results implicate the microbiome in cutaneous leishmaniasis disease outcomes in humans and suggest host-directed therapies to mitigate the inflammatory consequences.

2023-07-27 | GSE214397 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data