Skip to main content
PLOS ONE logoLink to PLOS ONE
. 2013 Aug 5;8(8):e71143. doi: 10.1371/journal.pone.0071143

Sarcoptes scabiei Mites Modulate Gene Expression in Human Skin Equivalents

Marjorie S Morgan 1, Larry G Arlian 1,*, Michael P Markey 2
Editor: Dipshikha Chakravortty3
PMCID: PMC3733868  PMID: 23940705

Abstract

The ectoparasitic mite, Sarcoptes scabiei that burrows in the epidermis of mammalian skin has a long co-evolution with its hosts. Phenotypic studies show that the mites have the ability to modulate cytokine secretion and expression of cell adhesion molecules in cells of the skin and other cells of the innate and adaptive immune systems that may assist the mites to survive in the skin. The purpose of this study was to identify genes in keratinocytes and fibroblasts in human skin equivalents (HSEs) that changed expression in response to the burrowing of live scabies mites. Overall, of the more than 25,800 genes measured, 189 genes were up-regulated >2-fold in response to scabies mite burrowing while 152 genes were down-regulated to the same degree. HSEs differentially expressed large numbers of genes that were related to host protective responses including those involved in immune response, defense response, cytokine activity, taxis, response to other organisms, and cell adhesion. Genes for the expression of interleukin-1α (IL-1α) precursor, IL-1β, granulocyte/macrophage-colony stimulating factor (GM-CSF) precursor, and G-CSF precursor were up-regulated 2.8- to 7.4-fold, paralleling cytokine secretion profiles. A large number of genes involved in epithelium development and keratinization were also differentially expressed in response to live scabies mites. Thus, these skin cells are directly responding as expected in an inflammatory response to products of the mites and the disruption of the skin’s protective barrier caused by burrowing. This suggests that in vivo the interplay among these skin cells and other cell types, including Langerhans cells, dendritic cells, lymphocytes and endothelial cells, is responsible for depressing the host’s protective response allowing these mites to survive in the skin.

Introduction

The scabies mite, Sarcoptes scabiei is a medically and economically important ectoparasite of humans and other mammals worldwide. The mites live in the lower stratum corneum of the skin. All active life stages of the mite (larvae, protonymph, tritonymph and adults) are obligate permanent parasites that require host extracellular fluid (plasma) that seeps into the burrow as nutrition to live [1].

The parasite has had a long co-evolution with its mammalian hosts and has adapted multiple mechanisms for evading the host innate and adaptive immune responses. Hosts exhibit delayed inflammatory and adaptive immune responses to this parasite. In humans, clinical symptoms (skin inflammation) may not appear for 4 to 8 weeks after initial infestation. It is now clear that this delay is the result of the mite’s ability to modulate multiple aspects of the host’s inflammatory and immune responses. Some of these have been elucidated as discussed below.

Cells of the epidermis such as keratinocytes, dendritic cells and Langerhans cells (LCs) are the first cells to encounter the mite and its products. The innate inflammatory and subsequent adaptive responses of the host skin provide the first line of defense against the invasion, survival and reproduction of the mite in the skin. The mites stimulate epidermal keratinocytes and dendritic cells with molecules in their eggs, feces, excreta, saliva and other secretory products (molting enzymes and hormones), the physical activity of the chelicerae, pedipalps and legs as they burrow, and decomposing bodies after they die. However, the live mites have been observed to produce copious amounts of saliva as they burrow and this material is likely the source of immune/inflammation modulating molecules [2]. As products from the mites penetrate the dermis, they stimulate other cells including fibroblasts, endothelial cells of the microvasculature and immune effector cells including LCs, macrophages, mast cells, and lymphocytes [3][9]. Presumably, LCs and other dendritic cells take up and process antigens from the mites in the skin and transport them to regional lymphatic tissue where the adaptive immune response is initiated via activation of B- and T-lymphocytes.

Live scabies mites induce secretion of the anti-inflammatory cytokine interleukin-1 receptor antagonist (IL-1ra) from the cells in human skin equivalents (fibroblasts and keratinocytes) [10]. IL-1ra inhibits the activity of the proinflammatory cytokine IL-1 by binding to the IL-1 receptor that is found on many cells including T-cells, B-cells, natural killer cells, macrophages and neutrophils [10], [11].

Scabies mite extract contains molecules that suppress the expression of intercellular and vascular cell adhesion molecules (ICAM-1 and VCAM-1) and E-selectin by cultured normal human endothelial cells of the skin microvasculature [12]. This suppression would inhibit or reduce extravasation of lymphocytes, neutrophils and other cells into the dermis in the vicinity of the mite and thus hinder the host’s ability to mount a successful protective response.

Scabies mites may inhibit co-stimulatory interactions between antigen presenting cells and T-cells. Scabies mite extract induces human T-regulatory cells to produce IL-10 [13]. IL-10 acts as a potent anti-inflammatory cytokine by suppressing the secretion of proinflammatory cytokines and expression of MHC-II molecules on antigen-presenting cells. Thus, the interaction of the MHC-II-antigen complex and the T-cell receptor necessary for activation and proliferation of B-cells into antibody secreting plasma cells would be inhibited/reduced.

Spleen cells from scabies-challenged mice and mice vaccinated with scabies extract exhibited reduced gene expression for B7-2 (CD86) on B-cells and its receptor, CD28 on T-cells [14]. In addition, genes for expression of CD40 on B-cells and its receptor, CD40L on T-cells, were down-regulated. These co-signals accompany the T-cell receptor MHC-II-antigen complex coupling that activates a B-cell to become an antibody-producing plasma cell.

Human skin equivalents and monocultures of normal human epidermal keratinocytes and dermal fibroblasts increase secretion of vascular endothelial growth factor (VEGF) in response to live scabies mites and mite extracts [10], [15]. VEGF would increase vascularity and fluid (plasma) in the mite burrow in the vicinity of the mouthparts and oral opening of the mite. We believe this fluid is the main source of water and nutrition for the mite in the otherwise dry stratum corneum [1]. Evidence for this is that the mites ingest antibody from the host presumably in this plasma [16].

Scabies mite products may be able to reduce IL-8 activity in the vicinity of the scabietic lesion in two ways. IL-8 is a chemokine that is chemotactic for the extravasation of neutrophils to the site of a pathogen. Monocultures of human epidermal keratinocytes, dermal fibroblasts, microvascular endothelial cells of the skin, and dendritic cells challenged with scabies extract exhibited reduced levels of IL-8 in the media when compared to unchallenged controls [12], [15], [17], [18]. Also, there is evidence that these mites may produce an IL-8 binding protein that may reduce local IL-8 levels thereby inhibiting chemotaxis of neutrophils (unpublished).

Scabies gut serine protease inhibitors of the serpin superfamily have been found to bind to several plasma proteins in the complement cascades and block the three pathways (classical, alternative and lectin) of the human complement system [19]. Because scabies mites ingest plasma [16], inactivating host complement may protect the mite gut from complement-mediated damage. Complement inhibition may promote the pyoderma caused by group A streptococci that is often associated with scabies lesions [20].

As is evident, many aspects of the phenotypic response to these mites have been elucidated by studies of the responses of cultured keratinocytes, fibroblasts, endothelial cells, lymphocytes, monocytes and dendritic cells derived from them as well as studies of gene expression of spleen cells and cytokine profiles of lymph node cells by flow cytometry. What is clear from these studies is that mite products modulate many aspects of the host protective response. Some of these responses have been identified but there are likely many more.

In contrast to having the ability to down-regulate some aspects of the host’s protective response, extract and live mites themselves can up-regulate secretion of proinflammatory cytokines from keratinocytes, fibroblasts and endothelial cells. Thus, the actual host response seems to be a balance between events that both induce and inhibit the protective response and there seem to be many targets for modulation by molecules from the mite. The duration of the infestation and mite burden play a role in shifting this balance. There is a network of pathways involved in the host innate and adaptive immune responses to mite antigens. Scabies antigens and molecules that modulate the host response appear to influence many points in the networks.

Human skin equivalents (HSEs) consist of an epidermis of stratum corneum and proliferating keratinocytes grown above a dermis of fibroblasts in a collagen matrix and have the properties of human skin. Our previous report [10] was limited in that only the secretion of selected cytokines by HSEs was monitored. In order to facilitate identification of other possible innate phenotypic responses, in the present study we investigated the gene expression in response to live scabies mites in the same HSEs whose cytokine secretion was previously reported [10]. This allowed us to elucidate many more aspects of the inflammatory immune response to burrowing scabies mites in order to develop a broader picture of the mites’ immune and inflammation modulating ability. These data will also identify additional specific sites that may have potential for developing vaccines for the prevention and treatment of this disease.

Materials and Methods

Scabies Mites and Extract

Live Sarcoptes scabiei variety canis mites were collected by aspiration onto a 38 µm (400 mesh) stainless steel screen after they had migrated from skin crusts collected from infested rabbits. For inoculation onto HSEs, the live mites collected onto the screen were washed by aspiration of sequential 4 mL volumes of phosphate-buffered saline with 0.05% Tween-20, endotoxin-free water (Lonza, Walkersville, MD) and 70% ethanol. For extract preparation, mites were washed as above, killed by freezing and later were ground on ice in a Ten Broeck homogenizer in 20 volumes (W/V) endotoxin-free water as previously described [21]. The soluble material was collected following centrifugation and the supernatant (extract) was sterile filtered into sterile vials. Protein concentration of the extract was determined by the Bradford protein assay using bovine serum albumin as the standard [22].

HSE Challenge

The HSEs used in this study are the same as those whose cytokine secretion profiles were previously reported [10]. EpiDerm EFT-400 full-thickness HSEs and medium were purchased from MatTek (Ashland, MA). Upon arrival, HSEs on their supports were transferred to new 6-well culture plates containing 3.0 mL of fresh medium per well and plates were placed in a 37°C incubator with 5–7% CO2. The next day, HSEs were transferred to new plates containing 5.0 mL of fresh medium. At the beginning of the experiment, one set of HSEs (n = 5) were inoculated on their surfaces with several hundred live scabies mites that had been washed and surface-sterilized with 70% ethanol. A second set (n = 5) was inoculated on the surface with 100 µg of soluble scabies extract protein. A third set (n = 4) remained uninoculated and served as controls. HSEs were maintained for 48 h at 37°C with 5–7% CO2. At 6, 12, 18, and 24 hours after inoculation, each HSE on its support was lifted from the well, the medium was mixed and a 550 µL aliquot was removed from the sample well and frozen at −80°C for subsequent cytokine secretion measurement as previously reported [10]. At the conclusion of the challenge, the HSE was lifted from its support and cut into pieces which were submerged in 1.5 mL of RNAlater solution (Ambion Life Technologies, Grand Island, NY). Samples were stored at −80°C until processed for gene expression analysis.

Gene Expression Analysis

Four HSE replicates for the uninfested control condition and five HSE replicates for each of the test conditions (live mites, mite extract) were processed for gene expression analysis. Each individual HSE was homogenized in 1 mL Trizol (Life Technologies) with the aid of a rotor-stator homogenizer. Following the manufacturer’s protocol, the aqueous phase from Trizol purification was transferred to EZNA RNA purification columns (Omega Bio-Tek, Norcross, GA) and purified using the manufacturer’s protocol. Purified RNA was DNase treated to remove any contaminating genomic DNA using Turbo DNA-Free (Life Technologies). RNA was quantified by spectrophotometry and on an Agilent 2100 Bioanalyzer (Agilent Technologies, Santa Clara, CA). All samples had RIN numbers >8.0.

For each sample, 50 ng was used as input for the Ambion WT Expression Kit (Life Technologies). These were hybridized to the Affymetrix Human Gene 1.0ST arrays (RNA from one HSE sample per gene chip) according to manufacturer’s protocols. Briefly, RNA was reverse transcribed using proprietary semi-random primers to generate a first strand cDNA while adding a T7 promoter and avoiding amplification of rRNA. DNA polymerase was used with this single-strand cDNA to generate double stranded cDNA, and then the RNA was degraded by RNase H. This dscDNA was then in vitro transcribed using T7 RNA polymerase to generate cRNA. After a bead-based purification (still using the Ambion WT Expression Kit) and performing the recommended bioanalyzer quality control (Agilent RNA Nano chip) for cRNA size, the antisense cRNA was randomly primed to generate “2nd-cycle” cDNA. The RNA was destroyed by RNase H, and the 2nd cycle cDNA was purified, again using the Ambion protocol. After another check of yield and size distribution by bioanalyzer, the 2nd cycle cDNA was labeled, fragmented, and hybridized to Affymetrix Human Gene 1.0ST GeneChips using the Affymetrix GeneChip Whole Transcript Sense Target Labeling Assay protocol (Affymetrix, PN 701880) for the 169-format GeneChips. All wash and stain reagents were also obtained directly from Affymetrix and used according to this manufacturer’s protocols and the recommended fluidics protocols (FS450_0007 on an Affymetrix Fluidics Station 450). GeneChips were scanned immediately after fluidics on an Affymetrix GeneChip 3000 7G scanner. Data from these arrays has been deposited at the Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/geo) and made publically available. The accession number is GSE48459.

Data analysis was carried out in AltAnalyze version 2.0 [23]. This processes raw CEL files from the scanned arrays using the RMA algorithm [24][26]. Probesets with DABG (detection above background) p-values above 0.5 or non-log expression below 1 were removed from the analysis. Gene expression levels were determined using constitutive probesets (to summarize exon-level data from the arrays at the gene-level). Gene annotation was derived from the current version of Ensembl [27] or release 54 in a handful of cases where the Affymetrix probe set does not correlate to a current identifier (these were pseudogenes in each case). Replicates were assigned to groups and pairwise comparisons were performed for live mites vs. controls and extract vs. controls.

Beginning with the lists of genes significantly differentially regulated between test and control groups (as determined in AltAnalyze above), gene functions that appeared significantly more often were determined by gene ontology (GO) over representation analysis (ORA), performed using GO-Elite v.1 Beta [28]. Maximum raw p-value was set at 0.05. Minimum fold change was 2.0. GO terms and pathway rankings were pruned by z-score with a cutoff of 1.96. Minimum number of changed genes in a term was set at 3. Two-thousand (2000) ORA permutations were performed, and the primary relational gene database was Ensembl.

Results

Live Mites on the HSE Surface

In this study, live mites placed on the surface of the HSE burrowed into the epidermis of the skin equivalent (Fig. 1) and induced changes in gene expression that were measured at 48 h post-inoculation. Overall, of the more than 25,800 genes measured, 189 genes were up-regulated >2-fold (Table 1) in response to scabies mite burrowing while 152 genes were down-regulated to the same degree (Table 2).

Figure 1. Human skin equivalents (HSEs).

Figure 1

Uninoculated controls (left panels) and HSEs inoculated with mites on the top surface (right panels). Mites on the surface (S) or burrowed into (B) the HSE are indicated with arrows.

Table 1. Genes most up-regulated at 48 h by human skin equivalents in response to live scabies mites (all >2-fold vs. uninoculated controls). Top 50 and selected others of the 189>2x controls.

Rank Gene Symbol Definition Fold×Cont
1 KRT37 Keratin, type I cuticular Ha7 8.46
2 IL1F9 Interleukin-1 family member 9 (IL-1F9) 8.06
3 IL1B Interleukin-1 beta Precursor (IL-1β) 7.42
4 PRSS22 Brain-specific serine protease 4 Precursor (BSSP-4) 7.39
5 ARG1 Arginase-1 (Type I arginase) 7.21
6 AC011443.6 Iron/zinc purple acid phosphatase-like protein Precursor 6.10
7 CLDN17 Claudin-17 5.08
8 AL133512.10 4.90
9 LCE3C Late cornified envelope protein 3C 4.82
10 HBEGF Proheparin-binding EGF-like growth factor Precursor 4.71
11 SLC7A2 Low affinity cationic amino acid transporter 2 (CAT-2) 4.60
12 AC006032.2 4.03
13 FCHSD1 FCH and double SH3 domains protein 1 4.02
14 RASGEF1B Ras-GEF domain-containing family member 1B (GPI γ-4) 3.99
15 CSF2 Granulocyte-macrophage colony-stimulating factor Precursor (GM-CSF) 3.99
16 AGPAT9 1-acyl-sn-glycerol-3-phosphate acyltransferase theta 3.96
17 IL1RL1 Interleukin-1 receptor-like 1 Precursor 3.75
18 LCE3A Late cornified envelope protein 3A (Late envelope protein 13) 3.71
19 AC026689.6 3.67
20 AC004510.1 Urothelial cancer associated 1 (UCA1) 3.63
21 KIAA1239 Leucine-rich repeat and WD repeat-containing protein KIAA1239 3.62
22 RHCG Ammonium transporter Rh type C 3.54
23 SELE E-selectin Precursor (Endothelial leukocyte adhesion molecule 1; ELAM-1) 3.54
24 RNF39 RING finger protein 39 (Protein HZFw) 3.53
25 GPR160 Probable G-protein coupled receptor 160 3.46
26 TNIP3 TNFAIP3-interacting protein 3 (A20-binding inhibitor of NF-kappa-B activation 3) 3.37
27 RNASE13 Ribonuclease-like protein 13 Precursor 3.24
28 IL1A Interleukin-1 alpha Precursor (IL-1α) 3.24
29 APOBEC3A Probable DNA dC->dU-editing enzyme APOBEC-3A (Phorbolin-1) 3.23
30 PLA2G4D Cytosolic phospholipase A2 delta (cPLA2-δ) 3.20
31 TRPV3 Transient receptor potential cation channel subfamily V member 3 (TrpV3) 3.17
32 PDCD5 Programmed cell death protein 5 (TF-1 cell apoptosis-related protein 19) 3.16
33 DHRS9 Dehydrogenase/reductase SDR family member 9 Precursor 3.13
34 ARRDC4 Arrestin domain-containing protein 4 3.11
35 OLAH S-acyl fatty acid synthase thioesterase, medium chain 3.11
36 CCL20 C-C motif chemokine 20 Precursor (MIP-3α)[Contains CCL20(1-67)] 3.09
37 KLK9 Kallikrein-9 Precursor (Kallikrein-like protein; (KLK-L3) 3.06
38 HEPHL1 Hephaestin-like protein 1 Precursor 3.06
39 OASL 59 kDa 2′-5′-oligoadenylate synthetase-like protein (TRIP-14) 3.04
40 U1 U1 spliceosomal RNA 3.01
41 LIPK Lipase member K Precursor 2.98
42 VNN3 Vascular non-inflammatory molecule 3 Precursor (Vanin-3) 2.97
43 CXCL5 C-X-C motif chemokine 5 Precursor (Epithelial-derived neutrophil-activating protein 78) 2.93
44 LIF Leukemia inhibitory factor Precursor (LIF) 2.92
45 CHRNB1 Acetylcholine receptor subunit beta Precursor 2.91
46 ZNF208 Zinc finger protein 208 2.89
47 DAZL Deleted in azoospermia-like (DAZ-like autosomal) 2.87
48 ESM1 Endothelial cell-specific molecule 1 Precursor (ESM-1 secretory protein) 2.85
49 ELF3 ETS-related transcription factor Elf-3 (ESE-1) 2.83
50 IL23A Interleukin-23 subunit alpha Precursor (IL-23 subunit α) 2.83
52 CSF3 Granulocyte colony-stimulating factor Precursor (G-CSF) 2.80
69 CCL5 C-C motif chemokine 5 Precursor (T-cell-specific protein RANTES) 2.63
79 IL11 Interleukin-11 Precursor (IL-11) 2.46
84 IL13RA2 Interleukin-13 receptor alpha-2 chain Precursor (Interleukin-13-binding protein) 2.43
85 TGFB2 Transforming growth factor beta-2 Precursor (TGF-β2) 2.43
86 CXCL6 C-X-C motif chemokine 6 Precursor (Granulocyte chemotactic protein 2; GCP-2) 2.42
96 IL20 Interleukin-20 Precursor (IL-20) 2.37
124 CCL3 C-C motif chemokine 3 Precursor (Macrophage inflammatory protein 1-alpha; MIP-1α) 2.19
150 LCE2D Late cornified envelope protein 2D (Late envelope protein 12) 2.12
156 KRT75 Keratin, type II cytoskeletal 75 2.11
160 CXCL2 C-X-C motif chemokine 2 Precursor (Macrophage inflammatory protein 2-alpha; MIP-2α) 2.10
163 KRT38 Keratin, type I cuticular Ha8 (Hair keratin, type I Ha8) 2.09
184 LCE3D Late cornified envelope protein 3D (Late envelope protein 16) 2.01
186 IL1F6 Interleukin-1 family member 6 (IL-1F6) 2.01

Table 2. Genes most down-regulated at 48 h by human skin equivalents in response to live scabies mites (all >2-fold vs. uninoculated controls). Top 50 and selected others of the 152>2× controls.

Rank Gene Symbol Definition Fold×Cont
1 CYP3A7 Cytochrome P450 3A7 −6.03
2 AKR1B10 Aldo-keto reductase family 1 member B10 −5.03
3 LAMB4 Laminin subunit beta-4 Precursor (Laminin beta-1-related protein) −5.00
4 DAPL1 Death-associated protein-like 1 (Early epithelial differentiation-associated protein) −4.67
5 AADAC Arylacetamide deacetylase (AADAC) −4.29
6 HTR3A 5-hydroxytryptamine receptor 3A Precursor (5-HT3R) −4.22
7 C10orf99 Putative uncharacterized protein C10orf99 Precursor −4.01
8 CXCL12 Stromal cell-derived factor 1 Precursor (SDF-1)(C-X-C motif chemokine 12) −3.93
9 ANKRD18A Ankyrin repeat domain-containing protein 18A −3.76
10 AC108671.5 Putative nmrA-like family domain-containing protein −3.69
11 AL359075.15 Putative uncharacterized protein ENSP00000383760 Fragment −3.51
12 ALDH3A1 Aldehyde dehydrogenase, dimeric NADP-preferring (ALDHIII) −3.29
13 PARP9 Poly [ADP-ribose] polymerase 9 (PARP-9) −3.15
14 40790 Septin-4 (Cell division control-related protein 2) −3.09
15 ANK2 Ankyrin-2 (Brain ankyrin; Ankyrin-B; Non-erythroid ankyrin) −3.08
16 GATM Glycine amidinotransferase, mitochondrial Precursor (Transamidinase) −3.06
17 PXMP4 Peroxisomal membrane protein 4 (24 kDa peroxisomal intrinsic membrane protein) −3.05
18 GBP6 Guanylate-binding protein 6 (GTP-binding protein 6) −3.01
19 AC105921.5-6 −2.88
20 CA13 Carbonic anhydrase 13 −2.85
21 KRT77 Keratin, type II cytoskeletal 1b (Cytokeratin-1B; Keratin-77) −2.82
22 SEPP1 Selenoprotein P Precursor (SeP) −2.80
23 GNAL Guanine nucleotide-binding protein G subunit alpha, olfactory type −2.77
24 SLC44A3 Choline transporter-like protein 3 −2.77
25 MX1 Interferon-induced GTP-binding protein Mx1 −2.68
26 ANK3 Ankyrin-3 (ANK-3; Ankyrin-G) −2.68
27 U4 U4 spliceosomal RNA −2.67
28 APOB Apolipoprotein B-100 Precursor (Apo B-100) −2.67
29 THEM5 Thioesterase superfamily member 5 −2.67
30 PSAT1 Phosphoserine aminotransferase −2.64
31 CYP2C18 Cytochrome P450 2C18 −2.64
32 CYP3A4 Cytochrome P450 3A4 −2.62
33 IFIT1 Interferon-induced protein with tetratricopeptide repeats 1 (IFIT-1) −2.61
34 AC013251.19-1 −2.59
35 PSAPL1 Proactivator polypeptide-like 1 Precursor −2.58
36 AK5 Adenylate kinase isoenzyme 5 (AK 5) −2.58
37 OLFML1 Olfactomedin-like protein 1 Precursor −2.56
38 GSTO2 Glutathione S-transferase omega-2 (GSTO-2) −2.56
39 SP110 Sp110 nuclear body protein (Transcriptional coactivator Sp110) −2.54
40 IDH1 Isocitrate dehydrogenase [NADP] cytoplasmic (IDH) −2.53
41 PYDC1 Pyrin domain-containing protein 1 (Pyrin-only protein 1) −2.52
42 BX005195.5 Novel protein similar to contactin associated protein-like 3 (CNTNAP3) Fragment −2.52
43 AL953854.21 Novel protein similar to contactin associated protein-like 3 (CNTNAP3) Fragment −2.52
44 BRCA1 Breast cancer type 1 susceptibility protein (RING finger protein 53) −2.51
45 CNTN1 Contactin-1 Precursor (Neural cell surface protein F3; Glycoprotein gp135) −2.51
46 PCLO Protein piccolo (Aczonin) −2.50
47 BBOX1 Gamma-butyrobetaine dioxygenase (γ-butyrobetaine hydroxylase) −2.49
48 ASB5 Ankyrin repeat and SOCS box protein 5 (ASB-5) −2.48
49 ADH1C Alcohol dehydrogenase 1A (Alcohol dehydrogenase subunit alpha) −2.42
50 Y_RNA Y RNA −2.42
53 CYP3A5 Cytochrome P450 3A5 −2.41
56 KRT15 Keratin, type I cytoskeletal 15 (Cytokeratin-15) −2.37
61 TLR3 Toll-like receptor 3 Precursor (CD283 antigen) −2.33
64 CYP2J2 Cytochrome P450 2J2 (Arachidonic acid epoxygenase) −2.32
86 IL12RB2 Interleukin-12 receptor beta-2 chain Precursor (IL-12 receptor β-2) −2.20
88 KRT13 Keratin, type I cytoskeletal 13 (Cytokeratin-13) −2.20
90 CXCL14 C-X-C motif chemokine 14 Precursor (Chemokine BRAK) −2.19
118 KRT1 Keratin, type II cytoskeletal 1 (Cytokeratin-1) −2.09
129 TNFSF10 Tumor necrosis factor ligand superfamily member 10 (TRAIL) −2.06
143 ANKRD18B Ankyrin repeat domain-containing protein 18B −2.02
148 IL16 Interleukin-16 Precursor (IL-16) −2.01

We determined that the genes for expression of IL-1α precursor, IL-1β, GM-CSF precursor, and G-CSF precursor were up-regulated 2.8- to 7.4-fold (Table 1). The IL1F9 gene was expressed 8-fold more than in controls and was the second most up-regulated gene. This gene codes for a protein in the IL-1 cytokine family. Scabies mites induced a 3.75-times up-regulated expression of the gene IL1RL1 (IL-1 receptor-like precursor) above its constitutive expression. Likewise, the genes for the receptors IL1R2 and IL13RA2 were also up-regulated >2-fold (Table 1).

The gene most up-regulated was KRT37 (also know as Ha 7). This is a keratin family gene that codes for the type I keratin protein which heterodimerizes with type II keratin to form hair and nails. The LCE3C gene encoding for late cornified envelope protein 3C was up-regulated 4.8-fold above constitutive and several other LCE genes (LCE3A, LCE2D, LCE3D) were also up-regulated by >2-fold.

Conversely, several genes that encode for keratins and are associated with keratinization were down-regulated (Table 2). The two genes KRT13 and KRT15, which code for type I cytokeratins, were down-regulated by 2.20 and 2.37 times below constitutive expression. Likewise, the gene KRT77 that codes for a type II keratin, type II cytoskeletal 1b protein, was down-regulated 2.82 times as was KRT1 (2.08-fold down). Several members of the Ankyrin (ANK2, ANK3, ASB5, ANKRD18A and ANKRD18B) and Cytochrome P450 (CYP2C18, CYP2J2, CYP3A4, CYP3A5 and CYP3A7) gene families were also down-regulated >2-fold.

Gene ontology (GO) groups provide a useful framework for describing the cellular component (C), biological process (P), and molecular function (F) influenced by the expression of a particular set of genes. The 25 GO groups in which the highest percentage of genes were differentially expressed by skin equivalents parasitized with burrowing scabies mites are shown in Table 3. Greater than 87% of the genes in all GO groups were measured and for 23 of the 25 most highly ranked groups more than 95% were present. Of the top 15 gene groups expressed, 10 included genes involved in the regulation of the secretion of cytokines. The GO group of genes involved in cytokine activity included 23 genes for cytokines that were changed in HSEs that were challenged by live scabies mites. Six groups included genes for expression of IL-1α while 14 groups included genes for expression of IL-1β. Of note was that 11% of genes involved in keratinization and 9% of genes in the taxis GO groups changed expression in response to live scabies mites.

Table 3. Gene Ontology (GO) groups in which the highest percentage of genes were differentially expressed by human skin equivalents exposed to live scabies mites.

Rank GO Type GO Name # in GO # Measured % Present # Changed % Changed Gene symbols of changed genes
1 F interleukin-1 receptor antagonist activity 9 9 100 3 33.3 IL1B, IL1F6, IL1F9
2 P juvenile hormone secretion 24 24 100 7 29.2 ACVR1C, EDN1, FST, IL11, IL1B, INHBA, LIF
3 P positive regulation of tumor necrosis factor production 13 13 100 3 23.1 CLEC7A, FCER1G, TLR3
4 P negative regulation of secretion 41 38 93 8 21.1 ACVR1C, EDN1, FST, IL11, IL1B, INHBA, LIF, SRGN
5 P positive regulation of interleukin-6 production 17 17 100 3 17.6 FCER1G, IL1B, TLR3
6 P vascular endothelial growth factor production 19 18 95 3 16.7 ACE2, IL1A, IL1B
7 F aromatase activity 25 25 100 4 16.0 CYP2C18, CYP2J2, CYP3A5, CYP3A7
8 P positive regulation of angiogenesis 20 20 100 3 15.0 FGF2, IL1A, IL1B
9 P foam cell differentiation 37 36 97 5 13.9 ABCG1, APOB, CSF2, INHBA, LIF
10 P positive regulation of MAPKKK cascade 39 37 95 5 13.5 IL11, IL1B, LIF, TGFB2, TLR3
11 P regulation of vasoconstriction 24 23 96 3 13.0 ACE2, EDN1, HTR2A
12 P cellular aldehyde metabolic process 23 23 100 3 13.0 AKR1B10, ALDH3A1, IDH1
13 P positive regulation of JAK-STAT cascade 24 24 100 3 12.5 CSF2, IL20, LIF
14 F cytokine activity 208 197 95 23 11.7 BMP2, CCL20, CCL3, CCL5, CSF2, CSF3, CXCL12, CXCL14, CXCL2, CXCL5, CXCL6, IL11, IL16, IL1A, IL1B, IL1F6, IL1F9, IL20, IL23A, INHBA, LIF, TGFB2, TNFRSF11B
15 P regulation of cytokine secretion 29 26 90 3 11.5 IL1A, PYDC1, SRGN
16 F oxygen binding 37 36 97 4 11.1 CYP2C18, CYP3A4, CYP3A5, CYP3A7
17 P keratinization 92 91 99 10 11.0 AHNAK2, BMP2, FGF2, FST, IL20, LCE2D, LCE3A, LCE3C, LCE3D, SPRR2D
18 P positive regulation of nuclear division 32 28 88 3 10.7 EDN1, IL1A, IL1B
19 P platelet activating factor secretion 41 38 93 4 10.5 ACE2, IL1A, PYDC1, SRGN
20 P positive regulation of lipid metabolic process 30 29 97 3 10.3 ABCG1, APOB, IL1B
21 P nitric oxide biosynthetic process 35 31 89 3 9.7 EDN1, IL1B, SLC7A2
22 P positive regulation of protein amino acid phosphorylation 78 76 97 7 9.2 BMP2, CSF2, FGF2, IL11, IL1B, IL20, LIF
23 P negative regulation of transport 108 99 92 9 9.1 ACVR1C, EDN1, FST, HTR2A, IL11, IL1B, INHBA, LIF, SRGN
24 P taxis 213 209 98 18 8.6 AC130360.4-3, CCL20, CCL3, CCL5, CXCL12, CXCL14, CXCL2, CXCL5, CXCL6, DEFB4, FCER1G, FGF2, GPR77, IL16, IL1B, ITGA1, TGFB2, TPM3
25 P group transfer coenzyme metabolic process 35 35 100 3 8.6 GBA2, VNN1, VNN3

GO types are characterized according to the gene product’s involvement in biological processes (P) or molecular functions (F).

The 25 GO groups of genes that had the greatest number of genes that changed expression in response to scabies mites are listed in Table 4. In response to burrowing scabies mites, HSEs differentially expressed large numbers of genes that were related to host protective responses including those involved in immune response, defense response, cytokine activity, taxis, response to other organisms, and cell adhesion. A large number of genes involved in epithelium development and keratinization were also differentially-expressed in response to live scabies mites.

Table 4. Gene Ontology (GO) groups in which the greatest number of genes were differentially expressed by human skin equivalents exposed to live scabies mites.

Rank GO Type GO Name # in GO # Measured % Present # Changed % Changed
1 P immune response 884 771 87 47 6.1
2 C extracellular space 604 576 95 37 6.4
3 P defense response 734 673 92 34 5.1
4 P regulation of body fluid levels 958 939 98 31 3.3
5 F cytokine activity 208 197 95 23 11.7
6 P epithelium development 458 450 98 21 4.7
7 P cellular lipid metabolic process 726 707 97 21 3.0
8 P taxis 213 209 98 18 8.6
9 P response to other organism 273 263 96 18 6.8
10 P oxidation reduction 625 599 96 17 2.8
11 P branching morphogenesis of a tube 303 297 98 16 5.4
12 P cellular amino acid and derivative metabolic process 424 408 96 16 3.9
13 P polyphosphate biosynthetic process 602 593 99 16 2.7
14 P leukocyte activation 372 361 97 15 4.2
15 P regulation of phosphorylation 420 414 99 15 3.6
16 C endoplasmic reticulum membrane 550 537 98 15 2.8
17 P polyphenic determination 584 569 97 15 2.6
18 P developmental growth involved in morphogenesis 248 242 98 14 5.8
19 P regulation of cell cycle 365 359 98 13 3.6
20 F electron carrier activity 287 272 95 12 4.4
21 P pigment accumulation in tissues 185 178 96 11 6.2
22 C microsome 195 188 96 11 5.9
23 P positive regulation of cell proliferation 226 224 99 11 4.9
24 P cell-cell adhesion 342 331 97 11 3.3
25 P keratinization 92 91 99 10 11.0

GO types are characterized according to the gene product’s involvement in cellular components (C), biological processes (P), or molecular functions (F).

Scabies Mite Extract on the HSE Surface

When compared to uninoculated controls, only 15 genes were differentially expressed by HSEs exposed to soluble scabies mite extract (Table 5). No genes were significantly (>2-fold) down-regulated. Eight of the 15 up-regulated genes were also expressed more by HSEs exposed to burrowing scabies mites including KRT37, IL1F9, ARG1, AC011443.6 and LCE3C. Interestingly, IL1B gene expression was not changed (1.06-fold vs. control).

Table 5. Genes up-regulated at 48 h by human skin equivalents in response to scabies mite extract (all >2-fold vs. uninoculated controls).

Rank Gene Symbol Definition Fold×Cont
1 ZNF208 Zinc finger protein 208 2.73
2 ARMC4 Armadillo repeat-containing protein 4 2.69
3 LCE3C Late cornified envelope protein 3C 2.41
4 KRT37 Keratin, type I cuticular Ha7 2.40
5 ARG1 Arginase-1 (Type I arginase) 2.38
6 GSTT2 Glutathione S-transferase theta 2 (GSTT2) 2.25
7 GSTT2B Glutathione S-transferase theta-2 2.25
8 UPK1A Uroplakin-1a 2.23
9 TRAPPC2 Trafficking protein particle complex subunit 2 2.21
10 AC011443.6 Iron/zinc purple acid phosphatase-like protein Precursor 2.18
11 U6 U6 spliceosomal RNA 2.10
12 AC116654.4-4 Immunoglobulin Kappa light chain V gene segment 2.06
13 RNF39 RING finger protein 39 2.05
14 FAM70A Protein FAM70A 2.02
15 IL1F9 Interleukin-1 family member 9 (IL-1F9) 2.00

Discussion

Studies using cultured normal human epidermal keratinocytes and dermal fibroblasts and dermal endothelial cells of the microvasculature show a modulation of cytokine secretion and expression of cell adhesion molecules in response to molecules in scabies mite extracts [12], [15], [18], [21]. In those studies, the cytokines and adhesion molecules measured were selected because they were known to play key roles in immune and inflammatory responses. However, as a result of those initial studies, it is now apparent that the possible phenotypic responses to scabies mites and their products are many. It would be a laborious task to select, identify and quantify so many of these. In addition, these previous studies did not determine if mites affect the expression of the receptors for these cytokines. Also, the use of monocultures of cells in a liquid media required the use of extracts made from crushed mite bodies because the mites themselves would not survive in the culture media of the cells. These limitations led us to use a skin model to investigate cytokine secretion [10] and gene expression by skin cells in response to live scabies mites. The use of the HSEs also allows for the cell-cell interaction between epidermal keratinocytes and dermal fibroblasts, as is the case in vivo.

Human skin equivalents have physical properties similar to the epidermis and dermis of normal human skin. They consist of an epidermis of stratum corneum above keratinocytes layered over a dermis of fibroblasts. Scabies mites will readily burrow into the epidermis of these HSEs. Thus, the combined inflammatory and innate immune responses of the keratinocytes and fibroblasts and their interactions can be studied in response to burrowing live scabies mites and their products such as saliva and fecal material. Our experiments used one set of HSEs to determine both the cytokine secretion as previously reported in [10] and gene expression responses of normal human epidermal keratinocytes and dermal fibroblasts when these tissues were challenged for 48 h with live mites and their products. By looking at gene expression, many more possible phenotypic responses could then be considered for phenotypic studies. We recognize that expression of a gene may not lead to a measurable phenotypic effect. But, given the long co-evolution of these mites with their mammalian hosts, it provides a bigger picture of the potential affects these mites have on modulating the phenotypic response of the host’s structural cells of the skin and cells involved in inflammatory and immune responses.

This study found that scabies mites influence expression of numerous genes. A particularly interesting finding of this study was the 7.4-fold increase in IL1B gene expression in response to burrowing scabies mites. These same HSEs exhibited a 4-fold increase in the secretion of this cytokine onto their surfaces [10]. The IL1B gene is a member of GO groups involved in the modulation of IL-1ra activity, positive regulation of IL-6 activity and VEGF production (Table 3). These HSEs also secreted increased amounts of IL-1ra, IL-6 and VEGF onto their surfaces in response to burrowing scabies mites [10], perhaps modulated through the increased IL1B gene expression. IL-1β also stimulates the expression of the IL1F9 gene and the secretion of this cytokine by keratinocytes [29] and we observed an 8-fold increase in IL1F9 expression by these HSEs. This cytokine can activate fibroblasts to produce CCL20 [29] and expression of the CCL20 gene was also increased 3-fold in parasitized HSEs (Table 1). IL1F9 increases IL-6 and IL-8 production by epithelial cells [30] and these HSEs secreted significantly increased amount of these cytokines in response to burrowing mites [10]. IL1F9 genes and cytokines are expressed by keratinocytes during contact hypersensitivity and in psoriasis patients [31]. It is interesting that burrowing scabies mites also induce expression of this gene since these skin diseases share some common clinical features with scabies infestation.

While we found that many GO groups exhibiting a high percentage of differential gene expression were ones involved in the secretion of cytokines associated with immune and inflammatory responses, few genes involved with the expression of the receptors for these cytokines changed expression. The exceptions were the up-regulated expression of IL-1R1, IL-1R2 and IL-13RA2 genes. Although this would seem to promote inflammation when IL-1 was secreted by HSEs, we also found that the mites up-regulate secretion of IL-1ra that would block the receptor and thus the pro-inflammatory effects of IL-1 [10].

The genes in the cytokine GO group that changed expression the most were those that code for IL-1α, IL-1β, IL-11, IL-16, IL-20, IL-23, and transforming growth factor-α (TGFα). All of these are multiple function cytokines and associated with inflammation in the skin. IL-16 is produced by keratinocytes [32] and is chemotactic stimulating the migration of CD4+ T-lymphocytes, monocytes and eosinophils [33], [34]. Gene expression for this cytokine was down-regulated and this could be responsible for the delay in inflammatory response observed in early scabies. IL-20 is highly expressed in inflamed tissue such as psoriatic skin [35], [36]. During inflammation, IL-20 regulates the proliferation and differentiation of keratinocytes [35], [37], [38]. Thus, up-regulation of IL-20 may contribute to the proliferation of keratinocytes and development of a thickened epidermis (hyperkeratosis) and the scaly and crusted skin associated with advanced scabies. IL-23 is produced in excess in psoriatic skin [39][44]. In vivo, IL-23 is produced by keratinocytes and dendritic cells and its effect in skin pathology is mediated by Th17 cytokines [44]. It has been suggested that blocking IL-17 and IL-23 may suppress chronic inflammatory diseases [41], [44]. Ustekinumab, that blocks IL-23 and IL-12, has been shown to be effective in treating psoriasis [45]. Our finding that the genes for IL-20 and IL-23 are highly expressed in response to burrowing mites raises the question – would blocking these cytokines be a possible novel treatment for reducing the inflammation and itch associated with scabies?

Our earlier studies showed that monocultures of keratinocytes and/or fibroblasts in response to scabies extracts secreted cutaneous T cell-attracting chemokine (CTACK, CCL27), thymic stromal lymphopoietin (TSLP), growth-related oncogene-α (GROα), transforming growth factor-α (TGFα), IL-1β, IL-3, IL-6, IL-8, IL-10, monocyte chemoattractant protein-1 (MCP-1, CCL2), G-CSF, GM-CSF, macrophage colony-stimulating factor (M-CSF), VEGF and thymus- and activation-regulated cytokine (TARC, CCL17) [10]. Mites burrowing into HSEs significantly up-regulated secretion of CTACK, TSLP, IL-1α, IL-1β, IL-1ra, IL-6, IL-8, MCP-1, G-CSF, GM-CSF, and M-CSF [10]. We did not attempt to measure IL-3 and IL-10 secretion by HSEs. Thus, the HSEs did not significantly up-regulate secretion of GROα, TGFα, VEGF, and TARC as did extract-challenged keratinocytes nor did mite-challenged HSEs exhibit a 2-fold change in the expression of the genes for these four cytokines. Placing soluble mite extract on the HSE surface did not significantly stimulate secretion of most of these cytokines [10] nor did it up-regulate cytokine gene expression for any cytokine other than IL-1β. The differences in the responses of HSEs and monocultured cells and between burrowing mites and mite extracts are difficult to interpret because there can be multiple contributing factors. In the instance of cultured cells, extract molecules in the culture media directly stimulate cells. The composition and concentration of modulating molecules likely varies between what is in an extract and what is released by a burrowing mite. Also, isolated cells (keratinocytes and fibroblasts) may respond differently from these same cells in HSEs that can have cell-cell interactions and interactions with the matrix. Live burrowing mites that penetrate the epidermis of HSEs provide a physical stimulus while extracts placed on the surface of HSEs or in culture media do not. There are undoubtedly differences in the local concentration of molecules from the live mite secretions (area around the mouth parts and anus) and an extract although the later likely contains all the molecules that the mite secretes. Also, the nature of the monoculture experiments are such that the cytokines that are measured have accumulated over time in the culture medium while gene expression only represents the genes expressed at the instant the tissue is harvested.

The chemokine genes whose expression was most changed were CCL3 (MIP-1α), CCL5 (RANTES), CCL20 (MIP-3α), CXCL2 (MIP-2α), CXCL5 (ENA-78), CXCL6 (GCP-2), CXCL12 (SDF-1), and CXCL14 (BRAK). All of these genes are members of the taxis GO group. The secretion of these chemokines was not determined. This gene expression is consistent with histological studies of scabietic lesions that show inflammatory cellular infiltrate that concentrates around the mouth parts and anal opening of the burrowing mite [46]. This suggests that the effector molecules responsible for this are associated with salivary secretions and fecal material and that these induce chemotactic responses of cells in the vicinity of the mites. However, CXCL12 and CXCL14 were both down-regulated by >2-fold. CXCL12 stimulates the migration of T-lymphocytes, monocytes and neutrophils [47], [48]. CXCL14 (BRAK) is a chemoattractant for macrophages, immature dendritic cells and natural killer cells [49]. Early down-regulation of these cytokines would be advantageous for the mite as it is attempting to become established in the host skin.

Another GO group with many genes affected by burrowing scabies mites was the keratinization group. This is not surprising because hyperkeratosis with scaly and crusted skin develops as scabies infestations progress over time. Ten genes associated with keratinization were up-regulated. Most of these genes (LCE2D, LCE3A, LCE3C, LCE3D) are associated with cornification of the epidermis to become stratum corneum. This is not unexpected given that the epidermis is damaged by the burrowing mite. The KRT37 gene was the most up-regulated gene expressed. The KRT37 protein is a type I keratin found in hair and nails. The significance of the change in expression of this gene is unclear but it may be involved in the repair of the epidermis that is damaged by mite burrowing.

Summary

This study has shown that a large number of genes in skin keratinocytes and fibroblasts are differentially expressed in response to live burrowing scabies mites, their products and physical activity. The HSEs used in this study consisted of only two cell types (keratinocytes and fibroblasts). The fibroblasts and keratinocytes in these HSEs seem to be responding to the invading mites and their products with the expected pro-inflammatory response. In vivo, many other cell types also respond to the live scabies mites and their products as well as to the substances produced by keratinocytes and fibroblasts in response to the mites. Thus, there is a complex interaction among many cell types in the skin (including antigen-presenting cells and lymphocytes) in response to scabies. Most of these interactions remain to be identified but those already elucidated involve other cell types including endothelial cells, LCs, dendritic cells and lymphocytes. Likewise, many of the adaptations that scabies mites have evolved to modulate and exploit a host remain to be identified. However, it is clear that these mites are capable of modulating many aspects of the innate and adaptive protective responses of their host enabling them to survive and thrive.

Funding Statement

This study was funded by a grant from the United States National Institutes of Health, National Institute of Allergy and Infectious Disease (AI-017252). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1. Arlian LG, Runyan RA, Vyszenski-Moher DL (1988) Water balance and nutrient procurement of Sarcoptes scabiei var. canis (Acari: Sarcoptidae). J Med Entomol 25: 64–68. [DOI] [PubMed] [Google Scholar]
  • 2. Arlian LG, Runyan RA, Achar S, Estes SA (1984) Survival and infectivity of Sarcoptes scabiei var. canis and var. hominis . J Am Acad Dermatol 11: 210–215. [DOI] [PubMed] [Google Scholar]
  • 3. Arlian LG, Rapp CM, Vyszenski-Moher DL, Morgan MS (1994) Sarcoptes scabiei: Histopathological changes associated with acquisition and expression of host immunity to scabies. Exp Parasitol 78: 51–63. [DOI] [PubMed] [Google Scholar]
  • 4. Stemmer BL, Arlian LG, Morgan MS, Rapp CM, Moore PF (1996) Characterization of antigen presenting cells and T-cells in progressing scabietic skin lesions. Vet Parasitol 67: 247–258. [DOI] [PubMed] [Google Scholar]
  • 5. Arlian LG, Rapp CM, Stemmer BL, Morgan MS, Moore PF (1997) Characterization of lymphocyte subtypes in scabietic skin lesions of naive and sensitized dogs. Vet Parasitol 68: 347–358. [DOI] [PubMed] [Google Scholar]
  • 6. Walton SF (2010) The immunology of susceptibility and resistance to scabies. Parasite Immunol 32: 532–540. [DOI] [PubMed] [Google Scholar]
  • 7. Falk ES, Matre R (1982) In situ characterization of cell infiltrates in the dermis of human scabies. Am J Dermatopathol 4: 9–15. [PubMed] [Google Scholar]
  • 8. Falk ES, Eide TJ (1981) Histologic and clinical findings in human scabies. Int J Dermatol 20: 600–605. [DOI] [PubMed] [Google Scholar]
  • 9. Van Neste DJ (1987) Scabies in the pig as a model of human scabies with special reference to the hyperkeratotic form of the disease process. Models in Dermatology 3: 170–179. [Google Scholar]
  • 10. Morgan MS, Arlian LG (2010) Response of human skin equivalents to Sarcoptes scabiei . J Med Entomol 47: 877–883. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Arend WP, Malyak M, Guthridge CJ, Gabay C (1998) Interleukin-1 receptor antagonist: Role in biology. Annu Rev Immunol 16: 27–55. [DOI] [PubMed] [Google Scholar]
  • 12. Elder BL, Arlian LG, Morgan MS (2006) Sarcoptes scabiei (Acari: Sarcoptidae) mite extract modulates expression of cytokines and adhesion molecules by human dermal microvascular endothelial cells. J Med Entomol 43: 910–915. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Arlian LG, Morgan MS, Paul CC (2006) Evidence that scabies mites (Acari: Sarcoptidae) influence production of interleukin-10 and the function of T-regulatory cells (Tr1) in humans. J Med Entomol 43: 283–287. [DOI] [PubMed] [Google Scholar]
  • 14. Arlian LG, Fall N, Morgan MS (2007) In vivo evidence that Sarcoptes scabiei (Acari: Sarcoptidae) is the source of molecules that modulate splenic gene expression. J Med Entomol 44: 1054–1063. [DOI] [PubMed] [Google Scholar]
  • 15. Arlian LG, Morgan MS, Neal JS (2003) Modulation of cytokine expression in human keratinocytes and fibroblasts by extracts of scabies mites. Am J Trop Med Hyg 69: 652–656. [PubMed] [Google Scholar]
  • 16. Rapp CM, Morgan MS, Arlian LG (2006) Presence of host immunoglobulin in the gut of Sarcoptes scabiei (Acari: Sarcoptidae). J Med Entomol 43: 539–542. [DOI] [PubMed] [Google Scholar]
  • 17. Arlian LG, Morgan MS, Neal JS (2004) Extracts of scabies mites (Sarcoptidae: Sarcoptes scabiei) modulate cytokine expression by human peripheral blood mononuclear cells and dendritic cells. J Med Entomol 41: 69–73. [DOI] [PubMed] [Google Scholar]
  • 18. Mullins JS, Arlian LG, Morgan MS (2009) Extracts of Sarcoptes scabiei de Geer downmodulate secretion of IL-8 by skin keratinocytes and fibroblasts and of GM-CSF by fibroblasts in the presence of proinflammatory cytokines. J Med Entomol 46: 845–851. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Mika A, Reynolds SL, Mohlin FC, Willis C, Swe PM, et al. (2012) Novel scabies mite serpins inhibit the three pathways of the human complement system. PLoS One 7: e40489. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Mika A, Reynolds SL, Pickering D, McMillan D, Sriprakash KS, et al. (2012) Complement inhibitors from scabies mites promote streptococcal growth–a novel mechanism in infected epidermis? PLoS Negl Trop Dis 6: e1563. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Elder BL, Arlian LG, Morgan MS (2009) Modulation of human dermal microvascular endothelial cells by Sarcoptes scabiei in combination with proinflammatory cytokines, histamine, and lipid-derived biologic mediators. Cytokine 47: 103–111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Bradford MM (1976) A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Anal Biochem 72: 248–254. [DOI] [PubMed] [Google Scholar]
  • 23. Emig D, Salomonis N, Baumbach J, Lengauer T, Conklin BR, et al. (2010) AltAnalyze and DomainGraph: Analyzing and visualizing exon expression data. Nucleic Acids Res 38: W755–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Bolstad BM, Irizarry RA, Astrand M, Speed TP (2003) A comparison of normalization methods for high density oligonucleotide array data based on variance and bias. Bioinformatics 19: 185–193. [DOI] [PubMed] [Google Scholar]
  • 25. Irizarry RA, Bolstad BM, Collin F, Cope LM, Hobbs B, et al. (2003) Summaries of Affymetrix GeneChip probe level data. Nucleic Acids Res 31: e15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Irizarry RA, Hobbs B, Collin F, Beazer-Barclay YD, Antonellis KJ, et al. (2003) Exploration, normalization, and summaries of high density oligonucleotide array probe level data. Biostatistics 4: 249–264. [DOI] [PubMed] [Google Scholar]
  • 27. Flicek P, Ahmed I, Amode MR, Barrell D, Beal K, et al. (2013) Ensembl 2013. Nucleic Acids Res 41: D48–55. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Zambon AC, Gaj S, Ho I, Hanspers K, Vranizan K, et al. (2012) GO-elite: A flexible solution for pathway and ontology over-representation. Bioinformatics 28: 2209–2210. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Chustz RT, Nagarkar DR, Poposki JA, Favoreto S Jr, Avila PC, et al. (2011) Regulation and function of the IL-1 family cytokine IL-1F9 in human bronchial epithelial cells. Am J Respir Cell Mol Biol 45: 145–153. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Barksby HE, Lea SR, Preshaw PM, Taylor JJ (2007) The expanding family of interleukin-1 cytokines and their role in destructive inflammatory disorders. Clin Exp Immunol 149: 217–225. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Dunn E, Sims JE, Nicklin MJ, O’Neill LA (2001) Annotating genes with potential roles in the immune system: Six new members of the IL-1 family. Trends Immunol 22: 533–536. [DOI] [PubMed] [Google Scholar]
  • 32. Frezzolini A, Cianchini G, Ruffelli M, Cadoni S, Puddu P, et al. (2004) Interleukin-16 expression and release in bullous pemphigoid. Clin Exp Immunol 137: 595–600. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Cruikshank WW, Kornfeld H (2000) Center DM (2000) Interleukin-16. J Leukoc Biol 67: 757–766. [DOI] [PubMed] [Google Scholar]
  • 34. Frezzolini A, Paradisi M, Zaffiro A, Provini A, Cadoni S, et al. (2002) Circulating interleukin 16 (IL-16) in children with atopic/eczema dermatitis syndrome (AEDS): A novel serological marker of disease activity. Allergy 57: 815–820. [DOI] [PubMed] [Google Scholar]
  • 35. Sabat R, Philipp S, Hoflich C, Kreutzer S, Wallace E, et al. (2007) Immunopathogenesis of psoriasis. Exp Dermatol 16: 779–798. [DOI] [PubMed] [Google Scholar]
  • 36. Otkjaer K, Kragballe K, Funding AT, Clausen JT, Noerby PL, et al. (2005) The dynamics of gene expression of interleukin-19 and interleukin-20 and their receptors in psoriasis. Br J Dermatol 153: 911–918. [DOI] [PubMed] [Google Scholar]
  • 37. Wolk K, Witte E, Warszawska K, Schulze-Tanzil G, Witte K, et al. (2009) The Th17 cytokine IL-22 induces IL-20 production in keratinocytes: A novel immunological cascade with potential relevance in psoriasis. Eur J Immunol 39: 3570–3581. [DOI] [PubMed] [Google Scholar]
  • 38. Rich BE, Kupper TS (2001) Cytokines: IL-20 - a new effector in skin inflammation. Curr Biol 11: R531–4. [DOI] [PubMed] [Google Scholar]
  • 39. Bromley SK, Larson RP, Ziegler SF, Luster AD (2013) IL-23 induces atopic dermatitis-like inflammation instead of psoriasis-like inflammation in CCR2-deficient mice. PLoS One 8: e58196. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Di Meglio P, Nestle FO (2010) The role of IL-23 in the immunopathogenesis of psoriasis. F1000 Biol Rep 2: 10.3410/B2–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Iwakura Y, Ishigame H (2006) The IL-23/IL-17 axis in inflammation. J Clin Invest 116: 1218–1222. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Lee E, Trepicchio WL, Oestreicher JL, Pittman D, Wang F, et al. (2004) Increased expression of interleukin 23 p19 and p40 in lesional skin of patients with psoriasis vulgaris. J Exp Med 199: 125–130. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. Piskin G, Sylva-Steenland RM, Bos JD, Teunissen MB (2006) In vitro and in situ expression of IL-23 by keratinocytes in healthy skin and psoriasis lesions: Enhanced expression in psoriatic skin. J Immunol 176: 1908–1915. [DOI] [PubMed] [Google Scholar]
  • 44. Rizzo HL, Kagami S, Phillips KG, Kurtz SE, Jacques SL, et al. (2011) IL-23-mediated psoriasis-like epidermal hyperplasia is dependent on IL-17A. J Immunol 186: 1495–1502. [DOI] [PubMed] [Google Scholar]
  • 45. Griffiths CE, Strober BE, van de Kerkhof P, Ho V, Fidelus-Gort R, et al. (2010) Comparison of Ustekinumab and Etanercept for moderate-to-severe psoriasis. N Engl J Med 362: 118–128. [DOI] [PubMed] [Google Scholar]
  • 46. Estes SA, Kummel B, Arlian L (1983) Experimental canine scabies in humans. J Am Acad Dermatol 9: 397–401. [DOI] [PubMed] [Google Scholar]
  • 47. Kryczek I, Wei S, Keller E, Liu R, Zou W (2007) Stroma-derived factor (SDF-1/CXCL12) and human tumor pathogenesis. Am J Physiol Cell Physiol 292: C987–95. [DOI] [PubMed] [Google Scholar]
  • 48. Malik M, Chen YY, Kienzle MF, Tomkowicz BE, Collman RG, et al. (2008) Monocyte migration and LFA-1-mediated attachment to brain microvascular endothelia is regulated by SDF-1 alpha through lyn kinase. J Immunol 181: 4632–4637. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Hara T, Tanegashima K (2012) Pleiotropic functions of the CXC-type chemokine CXCL14 in mammals. J Biochem 151: 469–476. [DOI] [PubMed] [Google Scholar]

Articles from PLoS ONE are provided here courtesy of PLOS

RESOURCES