ARTICLE
Auteur(s) :, Dirk Koczan1, Reinhard
Guthke2, Hans-Jürgen Thiesen1, Saleh M
Ibrahim1, Günther Kundt3, Helga
Krentz3, Gerd Gross4, Manfred
Kunz4,*
1Institute of Immunology, University of Rostock,
Schillingallee 70, 18055 Rostock
2Hans Knoell Institute for Natural Products Research,
Beutenbergstr. 11a, 07745 Jena
3Institute for Medical Informatics and Biometry,
University of Rostock, Rembrandtstr. 16-17, 18057 Rostock
4Department of Dermatology and Venereology, University
of Rostock, Augustenstr. 80-84, 18055 Rostock, Germany.
accepté le 5 Avril 2005
Psoriasis is an inflammatory skin disease of high incidence
affecting about 2% of the population. It is regarded as a
genetically inheritable disease [1, 2]. The typical clinical
picture shows erythematous, scaly papules and plaques of variable
size which may even extend into generalized erythroderma. In
histopathology, a mixed inflammatory infiltrate is found, mainly
consisting of lymphocytes and monocytes [3]. But there may also be
an admixture of neutrophilic granulocytes.In the past years it has
been shown that psoriasis skin lesions respond to immunosuppressive
agents, such as macrolide immunosuppressants, cyclosporine and
methotrexate [4-8]. PUVA bath therapy, another commonly used
treatment modality in psoriasis, mainly acts on immune cells within
the dermis and epidermis [9]. Thus, the role of activated
lymphocytes and monocytes in the immunopathogenesis of psoriasis is
now widely accepted. Moreover, evidence was provided that
lymphocyte activation in the peripheral blood plays a central role
in the pathogenesis of psoriasis [10]. In recent years, there have
been discussions suggesting that psoriasis might even be regarded
as an autoimmune disease [11-13]. Accordingly, systemically
administered anti-lymphocyte and anti-TNF-α antibodies are
successfully used for the treatment of psoriasis and have led to a
real breakthrough in the treatment of psoriasis patients [14-19].A
series of earlier reports analyzed gene expression in the
microenvironment of psoriasis skin lesions [20-23]. These studies,
on a limited number of genes, were extended by more recent
large-scale gene expression studies which dramatically increased
our knowledge about inflammatory mediators active in lesional
psoriatic skin [24-26]. Among the genes identified in these studies
were molecules of the S100 family of calcium binding proteins,
chemokines like IL-8 and monocyte chemotactic protein-1, and cell
signaling molecules like CD47 (integrin-associated signal
transducer) [24, 25]. In the most extensive study analyzing 63,100
probe sets, a series of 131 differentially expressed so-called
immune signaling genes were identified. These were divided into the
major subgroups, interleukin-1 cluster, T-cell and dendritic cell
activation, and chemokines [26]. Also, important transcription
factors for cytokine regulation like STAT1 were identified [25,
26].However, the genes involved in the immunological activation of
peripheral blood lymphocytes and monocytes have been poorly defined
so far. In the present report, we performed a large-scale gene
expression study for PBMC from psoriasis patients, comparing gene
expression profiles in the diseased stage with that in the cured
stage (after conventional dithranol treatment). Dithranol, also
termed anthralin, is a classical compound used for external
treatment of psoriasis [27]. For gene expression profiling, the
oligonucleotide microarray technique was used for the parallel
analysis of 12,000 genes. Overall 18 genes showed significant
differential expression between both disease stages. Among these
were a series of well-known inflammatory mediators such as IL-8 and
cyclooxygenase-2, but also some recently identified immune
regulatory molecules such as G0S2 and CDKN1C. Further analysis of
differentially expressed genes by use of support vector machines
identified three pairs of genes which allowed disease stage
prediction based on gene expression patterns.
Materials and methods
Patients
Eleven patients suffering from severe generalized psoriasis who
were administered to our outpatient clinic at the Department of
Dermatology and Venereology, University of Rostock, were selected
for mRNA expression profiling of PBMC. Patients included in this
study displayed a skin involvement of more than 60% and a degree of
severity of erythema, infiltration, and scaling of lesions of 3 or
4 (range 0-4) according to Psoriasis Area and Severity Index (PASI)
[28]. None of these patients reported a recent infection or
suffered from other unrelated severe diseases. Also, none of them
suffered from psoriasis arthritis. Routine blood examinations
excluded gross abnormalities. Patients were treated with increasing
concentrations of dithranol until complete clearing of the skin
lesions, which was achieved after 4-6 weeks. Blood samples were
taken in the disease stage (immediately before treatment) and in
the cured stage (8 days after the end of treatment and clearing of
skin lesions).
Isolation of peripheral blood mononuclear cells (PBMC) and RNA
extraction
Peripheral blood mononuclear cells (PMBC) were isolated from blood
samples taken before treatment and after clearing of skin lesions.
Leukocytes were separated using Ficoll density gradient
centrifugation (Ficoll Hypaque, Sigma, Deisenhofen, Germany). This
technique allows the separation of the lymphocyte/monocyte fraction
(PBMC) from the granulocyte fraction. Cell smears were prepared and
stained with hematoxylin and eosin in order to confirm the purity
of the isolated cell population. Total RNA was isolated from PBMC
preparations using the total RNeasy kit (Qiagen, Hilden, Germany).
Gene expression analysis of microarray data
RNA concentrations were determined spectrophotometrically at 260 nm
and RNA probes were labelled according to the supplier’s
instructions (Affymetrix, Santa Clara, CA, USA). Analysis of gene
expression was carried out with Human Genome HGU95A microarrays
(Affymetrix) interrogating 12,000 well-characterized human genes.
Hybridization and washing of gene chips was done according to the
suppliers’s instructions. Microarrays were analyzed by laser
scanning (Gene Array™ Scanner, Hewlett-Packard) and the gene
expression levels were calculated with the Microarray Suite™ 5.0
and Data Mining Tool™ 3.0 software (Affymetrix).
Real-time RT-PCR analysis (TaqMan™ assay)
Real time RT-PCR analyses (TaqMan 7700™; Applied Biosystems,
Darmstadt, Germany) were performed to analyse gene expression of
selected genes in larger series of psoriasis patients. These
studies were performed for IL-8 (n = 32), annexin A3 (n = 23), G0S2
(n = 20), PBEF (n = 24), and COX-2 (n = 13). The numbers given in
parentheses include the eleven patients already tested by
microarray analysis. Gene expression analyses by real-time RT-PCR
were carried out as described earlier [29]. Commercially available
primer and probe sets were used (Assays-on-Demand; Applera Germany,
Weiterstadt, Germany). The differences in gene expression between
the diseased stage and cured stage were calculated by use of the
ΔΔCt method [30]. Gene expression values were normalized to GAPDH
expression.
Statistical analysis
Microarray data were subjected to paired Student’s t-test comparing
gene expression in diseased stage and cured stage. In order to
avoid false positive results, genes were excluded which showed
upregulation in the cured stage and were represented with an absent
call on the microarray at this stage, and genes that showed
down-regulation in the cured stage and were represented with an
absent call on the microarray at the diseased stage. Because
peripheral blood leukocytes are a heterogenous population and
enhanced or reduced gene expression might be restricted to
particular populations or even sub-populations of cells a cut-off
of at least 1.5-fold (instead of widely used 2-fold) up- or
downregulation was used. Under these conditions, overall 18 genes
(19 probe sets) were identified which showed significant
differences in gene expression (p-value ≤ 0.05). Five of the genes
were further validated by real-time RT-PCR analysis. Real-time
RT-PCR data were subjected to paired Wilcoxon test. Bonferroni
correction was applied and data with a p-value ≤ 0.05 after
Bonferroni correction were regarded as statistically significant.
Statistical analyses of microarray data were extended using a
Support Vector Machine (SVM) algorithm with linear kernel (software
may be downloaded from:
http://www.eleceng.ohio-state.edu/~maj/osu_svm/) and
cross-validation by leave-one-out method (own MATLAB-program). An
accuracy of class prediction of 86% (three false positives or false
negatives out of 22 samples tested) was regarded as significant.
Results
Microarray analysis of gene expression in PBMC from psoriasis
patients
Overall 18 genes were identified which showed at least 1.5-fold up-
or downregulation in gene expression comparing diseased stage with
cured stage. Among these, 17 genes showed upregulation in the
diseased stage. Only one gene showed upregulation after treatment
in the cured stage (summarized in table 1( Table
1 )). The most striking upregulations in diseased stage
were observed for IL-8 (3.8-fold). IL-8 exerts a large variety of
different functions. It is particularly involved in
lymphocyte/monocyte chemotaxis and activation. It is also a strong
inducer of lymphocyte proliferation and cell cycle progression
[31]. A further molecule with significant differences in gene
expression was cyclooxygenase-2 (2.7-fold). It is a central enzyme
in arachidonic acid metabolism leading to the generation of
prostaglandins and thromboxanes [32]. Among various other functions
prostaglandins are strong vasodilators, a major prerequisite for
local tissue inflammation. G0S2 protein showed 2.6-fold
upregulation. G0S2 is a member of the G0S family of G0/G1 switch
genes. These molecules have been shown to be involved in lymphocyte
cell cycle regulation [33, 34]. The precise role of pre-B cell
enhancing factor (2.3-fold upregulation) has not been defined so
far. Interestingly, however, this factor was initially identified
in a cDNA library of activated lymphocytes derived from peripheral
blood. It may be induced by strong inflammatory stimulators such as
interleukin-1β and TNF-α [35]. CDKN1C was the only gene that showed
upregulation after treatment with a mean fold of induction of 1.5.
CDKN1C, also termed p57Kip2, is an inhibitor of cell cycle
progression. These latter findings were suggestive for a role in
lymphocycte/monocyte de-activation in the clinically cured stage of
psoriasis patients.
Table 1 Description of differentially expressed genes
in microarray analyses
|
Number
|
|
- Gene bank accession
- number
|
Gene name
|
p-value
|
Mean of fold change
|
|
up-regulated in the cured stage
|
|
1.
|
1787_at
|
U22398
|
CDKN1C
|
0.0411
|
1.5960
|
|
up-regulated in diseased stage
|
|
1.
|
1369_s_at
|
M28130
|
IL8
|
0.0245
|
3.8297
|
|
2.
|
31792_at
|
M20560
|
ANXA3
|
0.0498
|
3.3007
|
|
3
|
35372_r_at
|
M17017
|
IL8
|
0.0050
|
3.1982
|
|
4.
|
1069_at
|
U04636
|
COX2
|
0.0322
|
2.7308
|
|
5.
|
38326_at
|
M69199
|
G0S2
|
0.0192
|
2.6035
|
|
6.
|
1372_at
|
M31165
|
TNFAIP6
|
0.0227
|
2.4362
|
|
7.
|
33849_at
|
U02020
|
PBEF
|
0.0065
|
2.3138
|
|
8.
|
1005_ at
|
X68277
|
DUSP1
|
0.0499
|
2.0280
|
|
9.
|
34319_at
|
AA131149
|
S100P
|
0.0257
|
1.9095
|
|
10.
|
2094_s_at
|
K00650
|
FOS
|
0.0189
|
1.8674
|
|
11.
|
34777_at
|
D14874
|
ADM
|
0.0479
|
1.6898
|
|
12.
|
35705_at
|
D16815
|
NR1D2
|
0.0232
|
1.6301
|
|
13.
|
31793_at
|
AL036554
|
DEFA3
|
0.0484
|
1.5344
|
|
14.
|
37185_at
|
Y00630
|
SERPINB2
|
0.0295
|
1.5226
|
|
15.
|
1915_s_at
|
V01512
|
FOS
|
0.0233
|
1.5207
|
|
16.
|
34435_at
|
AB008775
|
AQP9
|
0.0449
|
1.5184
|
|
17.
|
39302_at
|
X56807
|
DSC2
|
0.0142
|
1.5003
|
|
18.
|
37544_at
|
X64318
|
NFIL3
|
0.0012
|
1.5029
|
Validation of gene expression data from microarray analyses by
real-time RT-PCR
In order to validate the data from the microarray analyses by an
independent method real-time RT-PCR was performed for a larger
series of patients. These analyses included the already tested
patients by microarray analysis. Indeed, real-time RT-PCR data
confirmed our findings from the microarray analyses. Even after
Bonferroni correction four out of the five genes tested (IL-8,
cyclooxygenase-2, annexin A3, and G0S2) showed statistically
significant differences in gene expression. One gene, pre-B cell
enhancing factor, showed a strong tendency for statistical
significance (p = 0.07) after Bonferroni correction. Real-time
RT-PCR data are summarized in table 2( Table
2 ). The differences observed in gene expression for G0S2
were even greater than those observed in microarray analyses. This
might be due to an overall higher sensitivity of real-time RT-PCR
(TaqMan®). However, both techniques may not directly be
compared because different nucleotide sequences for primers and
probes and different amplification and signal detection techniques
are used.
Table 2 Description of differentially expressed genes
in real-time RT-PCR analyses
|
Number
|
Gene name
|
Median of fold change
|
p-value
|
- p-value
- after Bonferroni correction
|
n
|
|
1.
|
IL8
|
1.7092
|
0.008
|
0.04
|
32
|
|
2.
|
G0S2
|
3.2713
|
0.0003
|
0.002
|
20
|
|
3.
|
PBEF
|
1.5542
|
0.014
|
0.07
|
24
|
|
4.
|
COX2
|
1.6175
|
0.008
|
0.04
|
13
|
|
5.
|
ANXA3
|
1.5548
|
0.003
|
0.015
|
23
|
Disease stage prediction by use of support vector machines
In an attempt to further optimize discrimination between both
disease stages pattern recognition for gene expression values was
performed using support vector machines together with cross
validation (leave-one-out method). By this means three pairs of
genes were identified with an accuracy of class prediction for
disease stage of 86% ( (figure 1A-C) ). These
pairs of genes consisted of IL-8–CDKN1C, cyclooxygenase-2–NR1D2,
and desmocollin-2–CDKN1C. Further pairs generated by this method
resulted in significantly less prediction accuracy. Together with
CDKN1C, IL-8 was identified as a major discriminator between
diseased and cured stage. Thus, both molecules might be of
importance for lymphocyte/monocyte activation and cell cycle
regulation in psoriasis. Interestingly, two pairs of genes
contained the cell cycle dependent kinase inhibitor 1C. Indeed, it
was recently shown that CDKN1C acts as a potent inhibitor of T
lymphocyte activation [36]. The gene NR1D2 is an orphan nuclear
receptor presumably involved in gene regulation. However, its
precise role is unknown at present. Desmocollin-2 is a well-known
cell-cell adhesion molecule of the cadherin family. It mediates
epithelial cell-cell contacts. Its role in inflammatory cells
remains to be defined so far. Taken together, inflammatory
activation and cell cycle regulation mediated by IL-8 and CDKN1C
appear to be a central mechanism in the control of inflammation in
psoriasis patients.
Discussion
Gene expression profiles of psoriasis PBMC identified 18 genes
overall which showed significant up- or downregulation in the
diseased stage compared with the cured stage. Microarray data were
further validated by real-time RT-PCR. Among the genes with
enhanced expression in the diseased stage were well-known
inflammatory mediators like IL-8 and cyclooxygenase-2, and
molecules that had only recently been described to be involved in
lymphocyte/monocyte activation, like pre-B cell enhancing factor,
annexin A3, G0S2, and CDKN1C. Cross validation using support vector
machines was performed for differentially expressed genes from
microarray analyses. By this means, three pairs of genes were
identified that allowed a disease stage prediction with an accuracy
of 86%.
In the study presented, interesting candidate molecules for the
immunopathogenesis of psoriasis were identified. Among these, IL-8
might play an outstanding role, since this molecule showed the
greatest difference in gene expression between diseased stage and
cured stage. IL-8 has various immune regulatory functions and its
expression had been shown to be strongly upregulated in psoriasis
skin lesions [21, 22, 37-39]. Besides its role as a strong
chemoattractant for inflammatory cells, it directly induces
lymphocyte and monocyte activation. The particular role of IL-8 in
psoriasis skin lesions was further emphasized by two recently
published large-scale gene expression studies using microarray
technique [24, 25]. A third, also recently published microarray
study analyzing gene expression in psoriasis identified both
upregulated IL-8 and upregulation of one of its two corresponding
receptors, namely IL-8Rβ, in psoriasis skin lesions as compared
with normal control skin [26].
In accordance with the data presented, it was shown earlier that
peripheral blood monocytes from psoriasis patients display enhanced
IL-8 expression [40, 41]. A further study showed that both
corresponding receptors for IL-8 were upregulated on PBMC from
psoriasis patients [42]. Thus, IL-8 may act as an activator for
lymphocytes/monocytes and induce lymphocyte/monocyte proliferation
and differentiation in the peripheral blood compartment. Moreover,
it has been shown that IL-8 may directly activate monocytes and
promote adhesion of monocytes to endothelial cells which might be
regarded as a major prerequisite for inflammatory tissue invasion
[43]. The same mechanism might activate lymphocytes, however,
experimental data are lacking.
In a recent study, the efficacy of oral pimecrolimus therapy for
psoriasis was demonstrated, resulting in 80% improvement of skin
lesions after 4 weeks of treatment [44]. IL-8 expression in whole
blood samples from these patients did not change significantly when
measured after 14 days of treatment. This lack of IL-8 response to
treatment might be explained by that fact that only a 30%
improvement of skin lesions had been achieved at that time point.
In contrast, a total clearing of skin lesions was achieved in the
study presented which might be a prerequisite for IL-8
downregulation. However, it cannot be ruled out that the observed
effects on IL-8 gene expression may at least in part be due to
direct effects of dithranol. Interestingly, in the microarray
analyses conducted by Rappersberger and co-workers analysing the
expression profile of 7,129 genes, significant changes in gene
expression were observed for molecules involved in prostaglandin
metabolism and thromboxane A2 receptor binding [44].
Relative treatment resistance of psoriasis skin lesions to
anti-IL-8 therapy (ABX-IL8) may be somewhat contradictory to the
presented findings [45]. However, this may be explained by a
redundancy in immune regulating molecules in psoriasis. Possible
candidates for redundant immune activation compensating for
targeted downregulation of IL-8 might be monocyte chemotactic
protein 1 or monokine induced by interferon-γ [20-22]. However,
further investigations are necessary to address this question.
Two genes involved in lymphocyte cell cycle regulation, G0S2 and
CDKN1C, were identified in the study presented. These findings were
suggestive for a tightly controlled cell cycle regulation of
lymphocytes in psoriasis. Little is known about the precise role of
cell cycle molecules of the G0/G1 switch (G0S) family. G0S2
expression had been shown to be induced in cultured peripheral
blood mononuclear cells after stimulation by lectin, or by a
combination of the phorbolester TPA and calcium ionophore ionomycin
[33, 46]. Moreover, cyclosporine, a well-known immunosuppressive
drug inhibits G0S2 expression. Together, these data are suggestive
for a role of G0S2 in lymphocyte activation. The second molecule
identified as being involved in cell cycle regulation, CDKN1C, was
the only gene in our study which showed significant up-regulation
in the cured stage. Indeed, CDKN1C, which has also been termed
p57Kip2, is a cell cycle regulator which exerts anti-proliferative
effects. Its particular role for lymphocyte cell cycle regulation
has been described very recently [36]. In this latter study the
CDKN1C gene product associates with different cyclins. It has been
demonstrated that overexpression of CDKN1C in Jurkat cells resulted
in inhibition of cyclin E- and cyclin A-associated cdk2 kinase
activity and a decrease in amounts of cyclin A. The net result of
these interactions was an anti-proliferative effect on lymphocytes.
These experimental findings are in accordance with the detection of
up-regulated CDKN1C expression in the cured stage of psoriasis
patients in our study. Interestingly, CDKN1C was one of the few
genes which showed reduced expression in diseased versus normal
skin in one of the recently mentioned published microarray studies
on psoriasis [26].
Common findings in psoriasis histopathology are widened,
so-called tortuous capillaries in the dermal papillae. In the
present report, we identified cyclooxygenase-2 as a candidate gene
which might help to explain these histopathological findings.
Cyclooxygenase-2 produces prostaglandins and thromboxanes from the
ground substance arachidonic acid [32]. Prostaglandins are
well-known and strong vasodilators. Thromboxanes on the other hand
are central molecules in the blood coagulation system and exert
pro-coagulant functions. The induction of these molecules by
cyclooxygenase-2 might induce widening of capillaries and promote
tissue inflammation in concert with other local factors.
Interestingly, enhanced cyclooxygenase-2 expression had been
described in platelets of psoriasis patients [47].
A further molecule which showed upregulation in active disease
was annexin A3. Annexins are membrane-bound phospholipds highly
expressed in lipid rafts of the outer cell membrane [48]. Lipid
rafts are central areas involved in lymphocyte-dendritic cell
interaction promoting lymphocyte activation [49, 50]. Besides its
role in cell adhesion, cell signaling and membrane integrity,
evidence has been provided that annexin A3 is involved in monocyte
differentiation [51]. Furthermore, it had been shown that annexins
interact with molecules of the S100 family of calcium binding
molecules [48]. Members of this family are suggested to play an
important role in psoriasis pathogenesis, a fact that was
emphasized by three large-scale gene expression studies on
psoriatic skin [24-26]. All the studies mentioned showed
upregulation of members of the S100 family in psoriatic lesional
skin. Among these were S100A7-A9, S100A11, and S100A12. In earlier
reports, S100A7 had been termed psoriasin, referring to its
suggested pathogenic role in this disease [52].
The data presented demonstrated upregulation of PBEF, a B cell
stimulation factor, in the diseased stage. Little is known about
the role of B cells in psoriasis pathogenesis. However, in one
earlier study, B cells were detected in psoriatic lesional skin
[53]. Even more important, it has recently been shown that PBEF
expression was induced in cultured monocytes after LPS stimulation
[54]. Enhanced PBEF expression has also been found in one of the
mentioned microarray studies in psoriatic lesional skin [26]. Thus,
overall, three of the molecules identified in PBMC in the present
study, IL-8, CDKN1C, and PBEF have been described in at least one
other of the three large-scale gene expression studies mentioned of
psoriasis skin biopsies.
To further substantiate the findings presented, microarray data
were analyzed by support vector machines. Support vector machines
are self-learning computer programs which have been used recently
for the analysis of gene expression microarray data [55]. These
analyses allow class (disease stage) prediction of investigated
samples based on the analysis of gene expression profiles of
multiple genes. Here we show that 3 pairs of genes allowed a
disease stage prediction with an accuracy of 86%. It might be
concluded that genes which form pairs or even larger groups of
genes in these analyses are functionally related or may even
interact. One of these pairs contained IL-8 and CDKN1C.
Interestingly, both showed opposite regulation. From a functional
point of view, enhanced IL-8 expression may downregulate CDKN1C
expression or vice versa. This question may not be answered by the
data presented. However, these findings should stimulate further
functional investigations which might have an important impact on
future therapy. Two further pairs of genes identified by support
vector analysis allowed a discrimination of both disease stages
with the same accuracy of prediction. Again CDKN1C was one partner,
and desmocollin-2 (DSC2) the other. Desmocollin-2 is a well-known
cell-cell adhesion molecule. It is a member of the cadherin family
of cell adhesion molecules involved in desmosome formation, tight
cell-cell contacts. These play a particular role in epidermal
desmosomal junctions. At present, nothing is known about its role
in inflammatory cell interactions or PBMC endothelial cell
interaction.
Taken together, this is the first large-scale gene expression
study of psoriasis peripheral blood mononuclear cells. Interesting
target molecules were identified which might be of importance for
the immunopathogenesis of this disease. The significance of these
findings was further supported by the fact that the pairs of
particular genes allowed disease stage prediction with high
accuracy. The molecules identified in the presented study might
serve as new therapeutic targets for innovative treatment
modalities for this chronic inflammatory disease or might be used
as marker molecules for disease activity.
Declaration: Local Ethical Committee approval was
received for the studies and the informed consent of all
participating subjects was obtained.
Acknowledgments
We thank R. Waterstradt and I. Todt for excellent technical
assistance.
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