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Sebaceous gland atrophy in psoriasis: An explanation for psoriatic alopecia?

ABSTRACT: In a transcriptome study of psoriatic (PP) vs. normal (NN) skin, we found a co-expressed gene module (N5) enriched 11.5-fold for lipid biosynthetic genes. We also observed fewer visible hairs in PP skin, compared to uninvolved (PN) or NN skin (p<0.0001). To ask whether these findings might be due to abnormalities of the pilosebaceous unit, we carried out 3D morphometric analysis of paired PP and PN biopsies. Sebaceous glands (SG) were markedly atrophic in PP vs. PN skin (91% average reduction in volume, p=0.031). Module N5 genes were strongly downregulated in PP vs. NN skin (fold-change [FC] < 0.25, 44.4-fold), and strongly up-regulated in sebaceous hyperplasia (SH, FC > 4, 54.1-fold). The intersection of PP-downregulated and SH-upregulated gene lists generated a gene expression signature consisting solely of module N5 genes, whose expression in PP vs. NN skin was inversely correlated with the signature of IL17-stimuated keratinocytes. Despite loss of visible hairs, morphometry identified elongated follicles in PP vs. PN skin (average 1.7 vs. 1.2 Jm, p=0.020). These results document SG atrophy in non-scalp psoriasis, identify a cytokine-regulated set of SG signature genes, and suggest that loss of visible hair in PP skin may result from abnormal SG function.

ORGANISM(S): Homo sapiens

PROVIDER: GSE82140 | GEO | 2016/06/02

SECONDARY ACCESSION(S): PRJNA324128

REPOSITORIES: GEO

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Sebaceous gland atrophy in psoriasis: An explanation for psoriatic alopecia?

Project description:In a transcriptome study of psoriatic (PP) vs. normal (NN) skin, we found a co-expressed gene module (N5) enriched 11.5-fold for lipid biosynthetic genes. We also observed fewer visible hairs in PP skin, compared to uninvolved (PN) or NN skin (p<0.0001). To ask whether these findings might be due to abnormalities of the pilosebaceous unit, we carried out 3D morphometric analysis of paired PP and PN biopsies. Sebaceous glands (SG) were markedly atrophic in PP vs. PN skin (91% average reduction in volume, p=0.031). Module N5 genes were strongly downregulated in PP vs. NN skin (fold-change [FC] < 0.25, 44.4-fold), and strongly up-regulated in sebaceous hyperplasia (SH, FC > 4, 54.1-fold). The intersection of PP-downregulated and SH-upregulated gene lists generated a gene expression signature consisting solely of module N5 genes, whose expression in PP vs. NN skin was inversely correlated with the signature of IL17-stimuated keratinocytes. Despite loss of visible hairs, morphometry identified elongated follicles in PP vs. PN skin (average 1.7 vs. 1.2 Jm, p=0.020). These results document SG atrophy in non-scalp psoriasis, identify a cytokine-regulated set of SG signature genes, and suggest that loss of visible hair in PP skin may result from abnormal SG function. Gene expression was compared between sebaceous hyperplasia lesions (n = 5) and normal skin (n = 3) from control subjects.

2016-06-02 | E-GEOD-82140 | biostudies-arrayexpress

Genome-wide DNA methylation analysis of psoriatic and normal skin tissues

Project description:Genome wide DNA methylation profiling of psoriatic (PP), paired uninvolved psoriatic (PN) and normal skin tissues (NN). The Illumina Infinium 450k Human DNA methylation Beadchip v1.2 was used to obtain DNA methylation profiles across approximately 485,000 CpGs in 135 PP, 41PN and 62 NN tissues which were obtained from those who underwent skin biospsies. We not only revealed a genome-wide methylation level pattern for psoriasis, but also identified a strong association between the skin-specific DNAm of 9 DMS and psoriasis.

2017-07-07 | GSE73894 | GEO

RNA-seq identifies a diminished differentiation gene signature in primary monolayer keratinocytes grown from lesional and uninvolved psoriatic skin

Project description:Keratinocyte (KC) hyper-proliferation and epidermal thickening are characteristic features of psoriasis lesions, but the specific contributions of KCs to plaque formation are not fully understood. This study used RNA-seq to investigate the transcriptome of primary monolayer KC cultures grown from lesional (PP) and non-lesional (PN) biopsies of psoriasis patients and control subjects (NN). Whole skin biopsies from the same subjects were evaluated concurrently. RNA-seq analysis of whole skin identified a larger number of psoriasis-increased differentially expressed genes (DEGs), but analysis of KC cultures identified more PP- and PN-decreased DEGs. These latter DEG sets overlapped more strongly with genes near loci identified by psoriasis genome-wide association studies and were enriched for genes associated with epidermal differentiation. Consistent with this, the frequency of AP-1 motifs was elevated in regions upstream of PN-KC-decreased DEGs. A subset of these genes belonged to the same co-expression module, mapped to the epidermal differentiation complex, and exhibited differentiation-dependent expression. These findings demonstrate a decreased differentiation gene signature in PP/PN-KCs that had not been identified by pre-genomic studies of patient-derived monolayers. This may reflect intrinsic defects limiting psoriatic KC differentiation capacity, which may contribute to compromised barrier function in normal-appearing uninvolved psoriatic skin.

2018-01-03 | GSE107871 | GEO

High-throughput transcriptome analysis of clinical psoriasis

Project description:Purpose: The present study is aiming to understand transcriptome changes during psoriatic changes using high-throughput sequencing and thereby comprehensively assess the diseases and guide future research directions. Methods: Clinical psoriatic samples, including psoriatic lesions and their adjacent normal skin samples, and the surgical derived skins from healthy individuals as comparative controls were collected and analysed of their RNA expression profile using Illumina HiSeq 4000. raw sequencing reads were processed and pre-qualified using Trimmomatic and Fragments Per kb Per Million Reads (FPKM) method was used to calculate the abundance of each transcript followed by Negative Binomial Distribution tests to identify significant differences in each comparison. Results: Total reads for mRNAs, lncRNAs and miRNAs was 108,552, 105,136 and 2762, respectively, including 649 novel lncRNAs and 905 novel miRNAs. 5383 DE_mRNAs, 1201 DE_lncRNAs and 80 DE_miRNAs were identified in the comparison of the psoriasis lesions-adjacent normal group (PN) vs. healthy control-derived normal skin group (NN; PN vs. NN). A total of 9513 DE_mRNAs, 1940 DE_lncRNAs and 251 DE_miRNAs were identified in the psoriasis lesion group (PS) vs. NN comparison (PS vs. NN), and 4946 DE_mRNAs, 1559 DE_lncRNAs and 92 DE_miRNAs were identified in the PS vs. PN comparison. Conclusions: We identified numerous differentially expressed RNAs, including mRNAs, long non-coding RNAs (lncRNAs) and microRNAs (miRNAs). Our results reveal transcriptomic changes, expand our mechanistic understanding of psoriasis, and may lead to new directions for psoriasis research.

2019-12-25 | GSE142582 | GEO

Long non-coding RNAs in psoriatic and healthy skin

Project description:In this study, we used RNA-sequencing to profile the long non-coding RNA (lncRNA) transcriptome in lesional skin from psoriasis patients before (PP) and after treatment (PT) with adalimumab and in normal skin from healthy individuals (NN). For this we sequenced total RNA from 18 psoriasis patients (before and after treatment) and 16 healthy controls. We created our own reference set of long non-coding RNAs by merging three long non-coding RNA reference data sets. The combined reference had 67,157 lncRNA transcripts with no overlaps. We identified differential expression of 971 lncRNAs between PP and NN, 157 between PP and PT, and 377 between PT and NN. Based on differentially expressed (DE) lncRNAs between PP and NN, we identified a molecular lncRNA signature that distinguishes psoriatic skin from healthy skin .

2015-11-17 | GSE74697 | GEO

Laser Capture Microdissection-based RNAseq for Profiling Mouse and Human Sebaceous Gland Transcriptomes

Project description:We describe the use of laser capture microdissection (LCM) to isolate human and murine sebaceous glands (SGs) for transcriptomic analysis and publish this SG transcriptomic data for reference. We show that compared to whole skin RNA sequencing, LCM RNA sequencing allows for high resolution in identifying and describing SG genes at homeostasis. Lastly, we compare this LCM of sebaceous glands to published SG clusters from single cell RNA sequencing of skin, and show that we achieve greater resolution and depth with the LCM approach.

2024-01-26 | GSE230682 | GEO

MicroRNA profiling of psoriatic skin identifies 11 miRNAs associated with disease severity

Project description:MicroRNAs (miRNAs) are small non-coding RNAs that have emerged as central regulators of gene expression and powerful biomarkers of disease. Much is yet unknown about their role in psoriasis pathology. To globally characterize the miRNAome of psoriatic skin, skin biopsies were collected from psoriatic cases (n = 75) and non-psoriatic controls (n = 57) and RNA sequenced. Count data was meta-analyzed with a previously published dataset (cases, n = 24, controls, n = 20), increasing the number of psoriatic cases four-fold from previously published studies. Differential gene expression analyses were performed comparing lesional psoriatic (PP), non-lesional psoriatic (PN) and control (NN) skin. Further, functional enrichment and cell-specific analyses were performed. Across all contrasts, we identified 439 significantly differentially expressed miRNAs (DEMs), of which 127 were novel for psoriasis and 11 were related to disease severity. Meta-analyses identified 20 DEMs between PN and NN, suggesting an inherent change in the constitution of all skin in psoriasis. By integrating the miRNA transcriptome with mRNA target interactions, we identified several functionally enriched terms, including ‘thyroid hormone signaling’, ‘insulin resistance’ and various infectious diseases. Cell specific expression analyses revealed that the upregulated DEMs were enriched in epithelial and immune cells. This study provides the most comprehensive overview of the miRNAome in psoriatic skin to date and identifies a miRNA signature related to psoriasis severity. Our results may represent molecular links between psoriasis and related comorbidities and have outlined potential directions for future functional studies to identify biomarkers and treatment targets.

2021-10-31 | GSE174763 | GEO

Transcription profiling of human skin from psoriatic patients and normal controls

Project description:Gene expression has been proposed as an intermediate phenotype that can increase power in complex trait gene-mapping studies. Psoriasis, an immune-mediated, inflammatory and hyperproliferative disease of the skin and joints, provides an ideal model system to evaluate this paradigm, as conclusive evidence demonstrates that psoriasis has a genetic basis and the disease tissue is readily accessible. To better understand the complex nature of processes in psoriasis, we characterize gene expression profiles in uninvolved and involved skin from affected individuals as well as normal skin from control individuals. Experiment Overall Design: We extracted total RNA from punch biopsies taken from 58 psoriatic patients and 64 normal healthy controls. Two biopsies were taken from each patient; one 6mm punch biopsy was obtained from lesional skin of each patient (involved sample) and the other from non-lesional skin (uninvolved sample), taken at least 10 cm away from any active plaque. One biopsy was obtained from each healty control. Totally 180 samples were run on Affymetrix HU133 Plus 2.0 microarrays containing >54,000 gene probes. Experiment Overall Design: The raw data from 180 microarrays were processed using the Robust Multichip Average (RMA) method. The expression values in the table were after adjustment of RMA expression values (on the log scale) to account for batch and sex effects. Experiment Overall Design: Definition of abbreviations used in Sample records: NN = normal skin from controls; PN = uninvolved skin from cases; PP = involved skin from cases.

2009-02-01 | E-GEOD-13355 | biostudies-arrayexpress

Global methylation analysis of psoriatic (involved and uninvolved) and control skin

Project description:Psoriasis is a chronic inflammatory immune-mediated disorder affecting the skin and other organs including joints. Over 1,300 transcripts are altered in psoriatic involved skin compared to normal skin. Global epigenetic profiles of psoriatic skin have not been described. Here we describe the first genome-wide study of altered CpG methylation in psoriatic skin. We determined the methylation levels at 27,578 CpG sites in skin samples from individuals with psoriasis (12 involved, 8 uninvolved) and 10 unaffected individuals. CpG methylation of involved skin differed from normal skin at 1,108 sites. Twelve mapped to the epidermal differentiation complex, upstream or within genes that are highly up-regulated in psoriasis. Hierarchical clustering of 50 of the top differentially methylated (DM) sites separated psoriatic from normal skin samples. CpG sites where methylation was correlated with gene expression are reported. Sites with inverse correlations between methylation and nearby gene expression include those of KYNU, OAS2, S100A12, and SERPINB3, whose strong transcriptional up-regulation are important discriminators of psoriasis. We observed intrinsic epigenetic differences in uninvolved skin. Pyrosequencing of bisulfite-treated DNA from skin biopsies at three DM loci confirmed earlier findings and revealed a reversion of methylation levels towards the non-psoriatic state after one month of anti-TNF-a therapy. Control n=8 (NN), psoriasis involved n = 19 (PP), psoriasis uninvolved n=8 (PN). Hybridized to Illumina Human 27k methylation array. Paired samples are as follows: PN1 and PP1 PN2 and PP2 PN3 and PP3 PN4 and PP4 PN5 and PP5 PN6 and PP6 PN7 and PP7 PN8 and PP8

2011-11-11 | E-GEOD-31835 | biostudies-arrayexpress

Epigenomic profiling of hair follicle stem cells identifies PRDM16 as a regulator of sebaceous gland homeostasis [RNA-seq]

Project description:The epidermis consists of different compartments such as the hair follicle (HF), sebaceous gland (SG) and interfollicular epidermis (IFE), each containing distinct stem cell (SC) populations. However, with the exception of the SCs residing within the HF bulge, other epidermal SC populations remain poorly characterized at the molecular level. Here we used an epigenomic strategy that combines H3K27me3 ChIP-seq and RNA-seq profiling to identify major regulators of HFSC located outside the bulge. When applied to the bulk of HFSC isolated from mouse skin our approach identified both previously known and potentially novel non-bulge HFSC regulators. Among the latter, we found that PRDM16 was preferentially expressed within the Junctional Zone (JZ). To investigate PRDM16 function within the JZ SCs, we generated an epidermal-specific Prdm16 Knock-out mouse model (K14-Cre-Prdm16fl/fl). Notably, although these K14-Cre-Prdm16fl/fl mice did not show any major skin or hair abnormalities, the homeostasis of the SG was clearly compromised. Namely, PRDM16 deficient mice displayed enlarged SGs and excessive sebum production, thus resembling some of the features associated with certain human conditions (i.e. acne, sebaceous hyperplasia). Overall, our study provides a list of putative novel regulators of HFSC outside the bulge and identifies PRDM16 as a major regulator of SG homeostasis.

2021-03-26 | GSE169648 | GEO

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