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Örebro University School of Medicine Medicine C

Degree project, 15 ECTS May 2014

Gene Expression of CTGF in Human Dermal

Fibroblasts When Exposed to TGF-β and IL-1α

Author: Moa Dahlbom

Supervisor: Anita Koskela von Sydow, MSc Örebro, Sweden

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ABSTRACT

Introduction: Wound healing and fibrosis involves fibroblasts that produce extracellular

matrix (ECM) components, knowledge of substances affecting ECM production is needed to improve scar healing after e.g. burns or prevent fibrosis. Fibroblasts produce connective tissue growth factor (CTGF), a central mediator in wound healing and fibrosis, since it promotes ECM production and cell proliferation. CTGF gene expression in human dermal fibroblasts is stimulated by transforming growth factor-β (TGF-β) and inhibited by interleukin-1α (IL-1α). The primary objective of this study was to remake earlier results (Nowinski et. al. 2010), with the use of serum free medium and pre-incubation of IL-1α. A secondary aim was to refine experimental circumstances regarding incubation time and concentrations.

Methods: Human fibroblasts were cultured with different concentrations of TGF-β and/or

IL-1α followed by different incubation times. Extracted RNA from the cells was used to

synthesise cDNA and then quantitative-polymerase chain reaction (Q-PCR) were run to study CTGF gene expression.

Results: TGF-β stimulates expression of CTGF mRNA and IL-1α counteracts this

stimulation. A concentration of 0.5ng/ml TGF-β is sufficient to trigger CTGF expression. Higher TGF-β concentration than 2.5ng/ml or longer incubation time does not result in higher expression of CTGF. An IL-1α concentration of at least 0.05ng/ml seems, to a certain extent, inhibit TGF-β concentrations up to 2.5ng/ml.

Conclusions: Earlier results were remade with even better IL-1α inhibitory effect on TGF-β

stimulated CTGF gene expression. Optimal incubation time seems to be between 12 and 24 hours and the minimum concentration required for stimulation of CTGF gene expression is 0.5ng/ml TGF-β and for inhibition 0.05ng/ml IL-1α.

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ABBREVIATIONS

ANOVA α-SMA CCN CTGF DMEM DMSO ECM ED-A EDTA FBS GAPDH GOI HKG IL-1α MMP PBS Q-PCR TGF-β USÖ Analysis of variance α-smooth muscle actin Cyr61, CTGF and NOV

Connective tissue growth factor Dulbecco’s modified Eagle’s medium Dimethylsulfoxide

Extracellular matrix Ectodysplasin-A

Ethylenediaminetetraacetic acid Fetal bovine serum

Glyceraldehydhyde-3-phosphate Gene of interest

Housekeeping gene Interleukin-1α

Matrix metalloproteinase Phosphate buffered saline

Quantitative-polymerase chain reaction Transforming growth factor-β

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CONTENTS

i. ABSTRACT………..……….……….…...2 ii. ABBREVIATIONS..……....….…...…...……….……….…….…..….…..……...3 iii. CONTENTS...………....…..…...……..….4 1. INTRODUCTION..………...…………...….………..…...…….………5

1.1. Wound healing and fibrosis.…………..…….…….…..……….…...….…....5

1.2. Cell signalling……...………..….….…...6

2. OBJECTIVE……….………...……..……...…...…...7

3. MATERIALS AND METHODS……….…...…………..……...….…7

3.1. Cells………..……….………...………....……7

3.2. RNA extraction…….……….………...…..……..……8

3.3. cDNA synthesis…………..………...……….……...….9

3.4. Quantitative polymerase chain reaction (Q-PCR)……...…….…...…...…..9

3.5. Statistical analysis………...……...………..….…...….…10

3.6. Ethics………..………...……...…..….10

4. RESULTS………..…………..………...….11

4.1. TGF-β stimulates expression of CTGF mRNA in human fibroblasts…...11

4.2. IL-1α inhibits TGF-β stimulation of CTGF mRNA in human fibroblasts…..12

5. DISCUSSION……….………….……...14

6. CONCLUSION..………...…..16

7. ACKNOWLEDGEMENTS………...…………...…..16

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1. INTRODUCTION

1.1. Wound healing and fibrosis

Wound healing is a process consisting of multiple phases that starts with migration of

inflammatory cells to the affected area. Next, a fibrin clot is produced and after time replaced by temporary extracellular matrix (ECM), made by fibroblasts. Among other contents, the matrix contains collagen III rich fibres, which are thinner than normal fibres. A few days after an injury the temporary matrix is replaced by stronger and permanent matrix, containing collagen I rich fibres that are thicker than type III fibres but also produced by fibroblasts.[1]

Scarring is a physiological effect, which is often beneficial because it heals and holds the skin together, but it can be aesthetically unattractive. Fibrosis on the other hand, is a

pathological effect following injury and leads to loss of function.[1] The difference between physiological wound healing and pathologic fibrosis is the permanent activation of genes stimulating production of ECM. Fibrosis leads to a distortion of normal tissue architecture and results in dysfunction or failure of normal tissue function.[2] To prevent fibrosis the matrix production has to decrease or the degradation has to increase [1].

Fibroblasts are situated in connective tissue, where they also are the most numerous cell type. They origin from mesenchymal cells and produce ECM components. Their synthesizing capacity includes (1) proteins like collagen and elastin that can form reticular and elastic collagen fibres, (2) ECM components as glycosaminoglycans, proteoglycans and

glycoproteins and (3) growth factors that affect the differentiation and growth of cells.[3] When an open wound heals, it contracts and distorts. Myofibroblasts appear around day three in the wound area and are modified fibroblasts responsible for both normal contraction of wounds and contractures.[1] They express α-SMA (α-smooth muscle actin) [1,4] which is the most commonly used marker for myofibroblasts (for review [5]) and ED-A that is a splice variant of fibronectin that forms polymerized fibronectin in cells [1,5]. An increased amount of myofibroblasts is especially seen in burn scars, but also in other types of scars and in fibrosis. Their intracellular α-smooth actin is contracting when they are exposed to mechanical stress from the ECM on their integrins. They also form specific cell-to-cell contacts, which gives them further contractile abilities in contrast to normal fibroblasts.[1]

Myofibroblasts mainly derive from resident fibroblasts in the wound area and have characteristics that put them in between of smooth muscle cells and fibroblasts[1]. When a wound heals physiologically reepithelialisation induces apoptosis of myofibroblasts, the

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myofibroblast could therefore be considered a terminally differentiated cell hence its naturally course ends with apoptosis [6].

1.2. Cell signalling

ECM production is largely regulated by growth factors, cytokines and mechanical tension. Transforming growth factor-β (TGF-β) is a growth factor that can induce ECM production as well as degradation. Production is enhanced through its stimulatory effect on collagen and fibronectin synthesis [1] and degradation is increased through stimulatory effects on the synthesis of matrix degrading enzymes. (for review [7]) TGF-β regulates normal wound healing through its necessity to fibroblast proliferation and collagen synthesis [8]. TGF-β antagonizes MMP transcription and matrix degradation, but increases collagen synthesis and fibronektin production [1].

Connective tissue growth factor (CTGF) is a protein secreted from cells via the Golgi apparatus [9] and a member of the CCN family, a group of proteins that among other functions are involved in wound healing and fibrosis [10]. CTGF gene expression is

stimulated by TGF-β and prolonged even after the removal of TGF-β. Therefore, CTGF acts as a mediator of long-term effects of TGF-β activation. [11]

Both TGF-β and CTGF regulates the production of ECM and are both connected to different fibrotic diseases affecting connective tissue. They both stimulate cell proliferation and production of extracellular matrix (for review [12]) from fibroblasts.[1] TGF-β is also known to inhibit epithelial cell growth and to modulate immune cells or cells involved in inflammation. In nearly all fibrotic disorders an overexpression of TGF-β has been found as well as a simultaneous expression of CTGF at the place of fibrotic tissue. Due to CTGF’s action is more specified to fibrosis it could be a better choice as a medical target than TGF-β in future preventing of fibrotic disorders. (for review [13])

TGF-β activates the expression of CTGF [11] through an intracellular signalling cascade that acts on gene transcription through cellular receptors and Smad-signalling (for review [12,14]). When TGF-β binds to the receptor that consists of heterogenic serine/threonine kinases, Smad2 [15] and Smad3 becomes phosphorylated at the intracellular C-terminus [16] and bind to Smad4 [12]. The Smad-komplex then moves into the nucleus and binds to DNA and targets the gene expression. Inhibitory Smads, Smad6 and 7, inhibits the TGF-β

intracellular signalling pathway [12,14]. TGF-β in turn induces the expression of Smad7, thus generating a negative feedback loop [15,17].

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The cytokine interleukin-1α (IL-1α) is mostly known for its pro-inflammatory role in both innate and acquired immune responses. However, IL-1α has also been found to induce degradation of ECM [18]. This was further investigated in co-cultures between keratinocytes and fibroblasts where IL-1α was produced by keratinocytes and seemed to act as an inhibitor of CTGF expression in fibroblasts [19]. This was later confirmed by another study where IL-1α was added manually to both unstimulated and TGF-β stimulated fibroblasts, which generated in an inhibition of CTGF gene expression [20].

It is needed to obtain knowledge of signalling pathways for components involved in normal wound healing and fibrosis to find future treatment to different fibrotic conditions and physical skin damage caused by e.g. burns. Knowledge of where in TGF-β’s stimulatory signalling pathway on CTGF gene expression IL-1α interferes and inhibits, can potentially provide new therapeutic targets for drugs in the future.

2. OBJECTIVE

The primary objective of this study was to remake earlier results (Nowinski et al., 2010) with sustained inhibitory effect. The earlier results showed increased CTGF gene expression by dermal fibroblasts when stimulated with TGF-β and this effect was inhibited to a certain extent when IL-1α was added. A couple of circumstances are changed in this study compared to before, the cells have been cultured without serum for 24 hours and IL-1α is added three hours prior to TGF-β.

If the first objective was achieved, a secondary aim was defined and comprised the finding of both an optimal incubation time and optimal concentrations of TGF-β and IL-1α to induce proper CTGF expression and inhibition. This would provide a good foundation for future microarray analysis where gene expression of thousands of genes could be compared [21] and IL-1α’s inhibitory effect could be further examined.

3. MATERIALS AND METHODS

3.1. Cells

The cells used for this study were human fibroblasts, from normal skin tissue removed at USÖ department of plastic surgery, by standard surgery methods, from chest or abdominal areas. The cells were used between passage 9 and 15 and when not cultured stored in -150˚C with 45% Dulbecco’s modified Eagle’s medium (DMEM), 45% fetal bovine serum (FBS) both from Invitrogen (Paisley, Scotland) and 10% DMSO (dimethylsulfoxide) from VWR

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(Stockholm, Sweden). Adherent cells were cultured in tissue culture bottles from Sarstedt (Newton, NC, USA) with DMEM containing 10% FBS and 1µg/ml gentamycin (Invitrogen) and incubated in 37˚C and 5% CO2. To remove the cells from their plastic surface, incubation

in 37˚C for 5 minutes with 0.25% trypsin and 1mM EDTA (ethylenediaminetetraacetic acid) (Invitrogen), was used. To inactivate the trypsin DMEM, with the same contents as already mentioned, was added followed by centrifugation of the cell suspension and discarding of the supernatant. The cell pellet was reseeded in culture flasks or used for experiments. The number of cells was determined with a Bürker chamber. In each experiment 250.000 cells per well were seeded in six-well multiwell plates, area 9.62cm2 from BD Biosciences (Franklin Lakes, NJ, USA). Incubation ≥24 hours followed to allow the fibroblasts to attach to the bottom, then the medium was removed and each well washed twice with phosphate buffered saline (PBS) (Invitrogen), to eliminate all serum residues. Serum free medium was added, and in difference to earlier studies (Nowinski et al., 2010), the cells were serum starved for 24 hours to eliminate the risk of latent TGF-β in serum affecting the results. Some of the wells were stimulated by adding 0.5ng/ml, 2.5ng/ml or 10ng/ml TGF-β and/or 0.01ng/ml,

0.05ng/ml, 0.2ng/ml or 1ng/ml IL-1α, both from Sigma-Aldrich (St. Louis, MO, USA). When added, IL-1α was administered three hours prior to TGF-β to allow a greater inhibition of CTGF compared to previous results (Nowinski et al., 2010) when both substances were

administered together. Cells were harvested at time point 16 hours or time points 6, 12, 24 and 48 hours after addition of TGF-β.

3.2. RNA extraction

Cells were harvested and RNA extracted with RNeasy Plus Micro Kit from QIAGEN (Hilden, Germany). Briefly described; the cells were washed with PBS, after which 350µl RLT Buffer Plus with 0.1% β-mercaptoethanol was added to each well to lyse the cells. The lysates were assembled by cell scrapes and transferred to 1.5ml collection tubes. Cell clumps were avoided by vortexing and then the lysates were passed ten times through 0.9mm needles connected to syringes to homogenize them. The contents were transferred to gDNA Eliminator spin columns placed in 2ml collection tubes. After centrifugation for 30s at 8000rcf, the columns were discarded and the through saved. Then 350µl 70% ethanol was added to each flow-through and mixed by pipetting. The samples were then transferred to RNeasy MinElute spin columns placed in 2ml collection tubes. Centrifugation with closed lids for 15s at 8000rcf followed. The flow-through from each spin column was removed to a 1.5ml collection tube and saved in -80˚C to enable future analysis of protein content. Then 700µl Buffer RW1 was

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added to all spin columns and then they were centrifuged with closed lids for 15s at 8000rcf. The flow-through was disposed and 500µl Buffer RPE was added to each spin column, centrifugation with closed lids for 15s at 8000rcf followed. The flow-through was discarded and then 500µl 80% ethanol was added to the spin columns before they were centrifuged with closed lids for 2 minutes at 8000rcf. Both collection tubes and flow-through were disposed. The spin columns were placed in new 2ml collection tubes. To ensure that all ethanol was washed out from the spin column’s membranes, centrifugation with open lids at 18000rfc was performed. The collection tubes with their flow-through were discarded. The spin columns were placed in 1.5ml collection tubes, to elute the RNA from the spin column’s membranes 14µl RNase free water was added, and samples were centrifuged 1 minute at 18000rfc. Samples were stored in -80˚C.

Quantification and quality of RNA was measured with NanoDrop 2000c UV-Vis

Spectrophotometer (Thermo Fisher Scientific, Waltham, MA, USA). The ratio of absorbance at 260nm and 280nm is used to assess the purity of RNA, a ratio >1.8 is considered as pure from contaminants e.g. protein and phenol.

3.3. cDNA synthesis

To synthesise cDNA from the extracted RNA the High Capacity cDNA Reverse Transcription Kit from Applied Biosystems (Foster City, CA, USA) was used. Per RNA sample 10µl master mix was used, it contained 2.0µl 10X RT Buffer, 0.8µl 25X dNTP Mix (100mM), 2.0 µl 10X Random Primers, 1.0µl MultiScibe Reverse Transcriptase and 4.2µl Nuclease-free H2O. The

10µl master mix was added to a 10µl mix of RNA and nuclease-free water, the amount of RNA template was 200ng. The samples were mixed, centrifuged and placed in S1000 Thermal Cycler from Biorad (Stockholm, Sweden). The program was set to 10 minutes at 25˚C followed by 120 minutes at 37˚C and 5 minutes at 85˚C. After the program was finished, the machine kept the temperature at 4˚C until the samples were collected and stored in -20˚C.

3.4. Quantitative polymerase chain reaction (Q-PCR)

Quantitative PCR was performed using a 7500 Fast Real-Time PCR System from Applied Biosystems (Stockholm, Sweden). Fluorescent probes (TaqMan Gene Expression Assays), covering CTGF, the gene of interest, and housekeeping genes GAPDH (glyceraldehydhyde-3-phosphate) and β-actin were used, all from Applied Biosystems. TaqMan Gene Expression Master Mix and 96 well plates were obtained from Applied Biosystems. The pipetting of cDNA and PCR master mixes into the 96 well plate were made by the automatic PIRO

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Pipetting Robot from DORNIER-LTF (Lindau, Germany). All samples, three 1:10 dilutions of different samples (efficiency calculations) and water (negative control) were all set in duplicate replicates for each gene on a 96 well plate. Each well of the PCR plate contained a total of 20µl: where 10ul were gene expression mastermix 2X, 1µl gene expression Assay, 7µl water and 2µl cDNA. Crossing threshold (Ct) values were calculated by the 7900 Fast Real-Time PCR System software using the second derivative maximum method. The Ct

values from the diluted samples were subtracted from corresponding non-diluted samples’ Ct

values to check the PCR efficiency, which was calculated with the following formula

E=10(1/ΔCt). The ten times diluted samples gave approximately 3,2 higher Ct values resulting in E around 2, the efficiency as set to 2 in all calculations. All threshold cycle values (Ct)

reported as greater than 35 or as not detected were considered as a negative call, in

accordance with the manufacturer’s recommendation. The inverse proportional relationship between the Ct and the original gene expression level (L), and the doubling of the amount of

product with every PCR cycle, can be expressed as L=2-Ct for the gene of interest. To further normalize the expression level of a gene of interest (GOI) to a housekeeping gene (HKG) the following calculations were carried out:

Relative level of gene expression = -Ct(HKG) Ct(GOI) Ct(HKG) ΔCt

-Ct(GOI) 2 = 2 = 2 2 . [22,23]

A ratio between relative levels of expression of CTGF and GAPDH was calculated for each sample. Expression of GAPDH was stable throughout the experiments and negative control (H2O) samples consistently negative. GAPDH was used as reference gene since β-actin was

less constant between samples and trials.

3.5. Statistical analysis

Results from multiple trials are displayed as mean values with standard deviation indicated by error bars. Two-way paired Student’s t test was performed since only single comparisons were made. Results from single studies with multiple time intervals and concentrations need to be reproduced before multiple comparisons by one way ANOVA can be performed.

3.6. Ethics

The project has an approval from the ethical committee and patients, from whom surgical removed skin was used for extraction of fibroblasts, have given their informed consent.

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4. RESULTS

4.1. TGF-β induce CTGF mRNA expression

Fibroblasts were seeded in six well plates and incubated for 24 hours, after that they were serum starved and incubated for another 24 hours. Addition of no, 2.5ng/ml or 10mg/ml TGF-β was made and the cells were then incubated for 6, 12, 24 or 48 hours before they were harvested. RNA was extracted and used as a template for cDNA synthesis. PCR was

performed to investigate gene expression of CTGF (figure 1A and 1B). The results correlates with earlier results, i.e. that stimulation with TGF-β generates mRNA production of CTGF [20]. Both experiment 1A and 1B indicate a steady increase in CTGF mRNA expression from 6 to 24 hours. The 24-hour incubation gives the highest CTGF values and between 24 and 48 hours a net decrease is seen. The higher concentration of 10ng/ml TGF-β, does not show

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greater effect on CTGF mRNA expression than 2.5ng/ml TGF-β.

The third trial was performed in the exact same way, with the same incubation times and concentrations of TGF-β but in addition of a lower TGF-β concentration, 0.5 ng/ml (figure 2).

The addition of the lower concentration was to investigate whether or not even smaller amounts of TGF-β would have any effect of CTGF gene expression, which it also seemed to have. Due to fairly great variations in Ct values of GAPDH and CTGF between the different

trials, the normalised values of CTGF gene expression differ between them. Standard deviations therefore become high when an arithmetic average is calculated (not shown).

4.2.IL-1α inhibit and TGF-β induce CTGF mRNA expression

Fibroblasts were seeded in six well plates and incubated for 24 hours, after that they were serum starved and incubated for another 24 hours. Addition of no or 0.2 ng/ml IL-1α was made and then the cells were incubated for three hours prior to addition of no or 2.5ng/ml TGF-β. Then the cells were incubated for 16 hours before they were harvested. RNA was extracted and used as a template for cDNA synthesis. PCR followed and CTGF gene

expression was examined. The study experiment was made in three replicates added together (figure 3) and show that the stimulation of CTFG expression that 2.5ng/ml TGF-β generates are inhibited to large part by 0.2ng/ml IL-1α. Both the increase in CTGF expression after TGF-β stimulation and the decrease generated by IL-1α is statistically significant (p < 0.01).

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To further examine the inhibitory effect of IL-1α, a more extensive trial was made. The cells were treated as described above and incubated three hours prior to TGF-β with no, 0.01, 0.05, 0.2 or 1ng/ml IL-1α. TGF-β was added to some wells at concentration of 0.5 or 2.5ng/ml. The cells were incubated for 16 hours before harvested and expression of CTFG mRNA was examined as previously described (figure 4). The effect of IL-1α alone was examined, and did

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not indicate to have any effect on CTGF mRNA expression in human fibroblasts. Fibroblasts stimulated with 0.5ng/ml TGF-β showed inhibition of CTGF mRNA expression when exposed to a concentration of 0.05ng/ml IL-1α or higher. This correlates with earlier results [20]. Stimulation with higher concentration of TGF-β, 2.5ng/ml, resulted in inhibition by all administered IL-1α concentrations. Increased IL-1α concentration showed decreased CTGF gene expression.

5. DISCUSSION

The objective of this study was to remake earlier results (Nowinski et. al. 2010) [18], with the use of serum free medium and pre-incubation with IL-1α. This was accomplished since the results in this study, in accordance with Nowinski et. al., showed an increased CTGF mRNA expression when the fibroblasts were stimulated with TGF-β and inhibition of the same expression when IL-1α was added. Though the IL-1α induced inhibition seen in this study was even greater.

It is beneficial to remove the serum, since it contains many different growth factors that cannot be controlled. Even in medium containing as little as 0.5% FBS, as used by Nowinski et. al., there will be 0.05-0.1ng/ml latent TGF-β from the lysed bovine blood cells [22].

The three hour pre-incubation with IL-1α prior to TGF-β stimulation was thought to allow IL-1α a better opportunity to block TGF-β’s action on CTGF mRNA expression and hopefully result in stronger inhibition.

Nowinski et. al. noticed approximately a 50% decrease of CTFG mRNA expression when they administered both 2.5ng/ml (100ρM) TGF-β and 0.2ng/ml IL-1α to the fibroblasts and incubated them for 16 hours. In this study a decrease even greater than this is noted (figure 3). This increased inhibition could be consequences of both the serum removal and the pre-incubation with IL-1α. IL-1α inhibition seems to be more effective with an even lower TGF-β concentration stimuli of the fibroblasts (figure 4), where a concentration of 0.5ng/ml TGF-β provides a better concentration than 2.5ng/ml TGF-β for evaluating IL-1α’s inhibitory effect. However, 0.2ng/ml IL-1α appears to be an appropriate concentration for inhibition of this lower TGF-β concentration as well.

In the combined time and concentration study, three different trials were made, the third also involving a lower TGF-β concentration, 0.5ng/ml. The results indicate that TGF-β induce CTGF mRNA expression in fibroblasts. An increase in TGF-β concentration from 2.5ng/ml to 10ng/ml does not show any increase of CTGF gene expression, the reason could be that a

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plateau of TGF-β stimuli is reached after a certain concentration and time period. Therefore the decision of using the lower 0.5ng/ml TGF-β concentration was made to get a better comparison of concentration levels. According to the results, this smaller concentration of TGF-β was enough to induce CTGF mRNA expression.

The best time interval to get proper TGF-β stimulating effect on CTGF mRNA

expression seems to be between 12 and 24 hours. This statement is based on the observations that the highest amount of CTGF gene expression is seen in the 24 hours incubation. This indicates that somewhere between 12 and 48 hours a peak concentration will be reached. A net increase was seen between time points 12 and 24 hours while a net decrease was seen between time points 24 and 48 hours. Based on these results, the incubation of the IL-1α concentration study was specified to 16 hours, to minimise the risk that the CTGF expression would have reached its maximum and begun to cease at this point.

According to the results in the more extensive IL-1α concentration study, administration of IL-1α to unstimulated fibroblasts did not induce any greater increase or decrease of CTGF gene expression. This was important to see in case it would have any unexpected action of its own on CTGF gene expression, since that could have been a possible source of bias.

Only one trial of the extensive IL-1α study was performed and therefore no statistical conclusions can be drawn, but it is an indication of what could be statistically true if more trials were made. It has to be considered a preliminary result and will be used as a template for future trials. Repetitive trails will be needed to say something more definite.

This study only includes studies of mRNA expression, though nothing can be said of the protein contents. Even though mRNA works as a template for protein, all mRNA molecules do not result in ready proteins. It is well known that it is the finished protein and not the mRNA molecule that mediates the expressed gene’s function. Therefore proteins from this study’s trials have been saved for future analysis and comparison to these mRNA results.

In addition these studies have been performed in vitro, therefore studies in vivo has to be done before any definite conclusions can be made. A step closer to in vivo conditions would be to perform the same experiments in an organotypic skin culture [16,23].

The results from these studies are shown as normalised relative gene expression; due to variations of Ct values between trials, for both housekeeping genes and CTGF mRNA, the scales on the Y-axes are not comparable. This is probably due to differences in the

effectiveness of the TGF-β stimulation. For some reason the cells in the first TGF-β trial (figure 1A) responded much stronger than the second and third trial (figure 1B and 2). Therefore no fusion of these results into one graph was made.

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This study only involves dermal fibroblasts from one person; this removes bias due to differences as gender or age, but instead provides potential bias due to individual variation.

6. CONCLUSION

In human dermal fibroblasts, cultured in vitro and serum starved for 24 hours, CTGF gene expression is increased when stimulated with TGF-β. The TGF-β increased CTGF levels becomes reduced when IL-1α is administered prior to TGF-β stimuli, thus IL-1α is a competent inhibitor of the TGF-β stimulatory effect on CTGF mRNA expression.

Earlier results were confirmed, but also refined, since the combination of serum starvation and pre-incubation with IL-1α appear to provide an even stronger inhibition of TGF-β induced CTGF gene expression. The results of this study also indicates that incubation for 16 hours provide appropriate conditions for TGF-β stimulated CTGF gene expression, as do a 0.5ng/ml TGF-β concentration. Potent inhibitory effect of this stimulation achieves by 0.2ng/ml IL-1α.

Thus, serum starved fibroblasts, pre-incubated with 0.2ng/ml IL-1α, and with 16 hours incubation time after 0.5ng/ml TGF-β stimulation should give a good foundation for forthcoming microarray studies.

7. ACKNOWLEDGEMENTS

I would like to take the opportunity to thank my supervisor MSc Anita Koskela von Sydow, for giving me this great opportunity to work with this interesting project. I would also like to thank her for all her help, both in the lab and with the essay. Her patience and pedagogical ability has been equally great, she has included me in all stages of the study and no questions have remained unanswered. It has truly been a pleasure to work with her.

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8. REFERENCES

1. Sephel GC, Davidson JM. Repair, regeneration and fibrosis. In: Rubin R, Strayer DS, Rubin E, editors. Rubin's pathology: Clinicopathologic foundations of medicine. 6th ed.: Lippincott Williams and Wilkins; 2012. p. 95-113.

2. Abraham D, Shiwen X, Black C, Sa S, Xu Y, Leask A. Tumor necrosis factor α suppresses the induction of connective tissue growth factor by transforming growth factor-β in normal and scleroderma fibroblasts. J Biol Chem 2000;275(20):15220-15225. 3. Junqueira L, Carneiro J. Connective tissue. Basic Histology text and atlas. 11th ed.: Mc

Graw Hill Companies; 2005. p. 91.

4. Darby I, Skalli O, Gabbiani G. α-Smooth muscle actin is transiently expressed by myofibroblasts during experimental wound healing. Lab Invest 1990;63:21-29. 5. Eckes B, Nischt R, Krieg T. Cell-matrix interactions in dermal repair and scarring.

Fibrogenesis Tissue Repair 2010;3(4):doi:10.1186/1755-1536-3-4.

6. Desmoulière A, Redard M, Darby I, Gabbiani G. Apoptosis mediates the decrease in cellularity during the transition between granulation tissue and scar. Am J Pathol 1995;146(1):56-66.

7. Schultz G, Wysocki A. Interactions between extracellular matrix and growth factors in wound healing. Wound Repair Regen 2009;17:153-162.

8. Duncan MR, Frazier KS, Abramson S, Williams S, Klapper H, Huang X, et al. Connective tissue growth factor mediates transforming growth factor β-induced collagen synthesis: downregulation by cAMP. Faseb J 1999;13:1774-1786.

9. Chen Y, Segarini P, Raoufi F, Bradham D, Leask A. Connective tissue growth factor is secreted through the Golgi and is degraded in the endosome. Exp Cell Res

2001;271(1):109-117.

10. Brigstock G. The connective tissue growth factor/cysteine-rich 61/nephroblastoma overexpressed (CCN) family. Endocr Rev 1999;20(2):189-206.

11. Grotendorst G, Okochi H, Hayashi N. A novel transforming growth factor β response element controls the expression of the connective tissue growth factor gene. Cell Growth Differ 1996;7:469-480.

12. Kretzschmar M, Massagué J. SMADs: mediators and regulators of TGF-β signaling. Curr Opin Genet Dev 1998;8:103-111.

13. Grotendorst G. Connective tissue growth factor: a mediator of TGF-β action on fibroblasts. Cytokine Growth Factor Rev 1997;8(3):171-179.

14. Dernyck R, Zhang YE. Smad-dependent and Smad-independent pathways in TGF-β family signalling. Nature 2003;425:577-584.

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15. Stopa M, Anhuf D, Terstegen S, Gatsios P, Gressner AM, Dooley S. Participation of Smad2, Smad3 and Smad4 in transforming growth factor β (TGF-β)-induced activation of Smad7. J Biol Chem 2000;275(38):29308-29317.

16. Liu X, Sun Y, Constantinescu S, Karam E, Weinberg R, Lodish H. Transforming growth factor β-induced phosphorylation of Smad3 is required for growth inhibition and

transcriptional induction in epithelial cells. Proc Natl Acad Sci U S A 1997;94:10669-10674.

17. Koskela A, Engström K, Hakelius M, Nowinski D, Ivarsson M. Regulation of fibroblast gene expression by keratinocytes in organotypic skin culture provides possible

mechanism for the antifibrotic effect of reepithelialization. Wound Rep Reg 2010;18:452-459.

18. Qwarnström E, MacFarlane S, Page R. Effects of interleukin-1 on fibroblast extracellular matrix, using a 3-dimensional culture system. J Cell Physiol 1989;139(3):501-508. 19. Nowinski D, Höijer P, Engstrand T, Rubin K, Gerdin B, Ivarsson M. Keratinocytes inhibit

expression of connective tissue growth factor in fibroblasts in vitro by an interleukin -1α-dependent mechanism. J Invest Dermatol 2002;119(2):449-455.

20. Nowinski D, Koskela A, Kiwanuka E, Boström M, Gerdin B, Ivarsson M. Inhibition of connective tissue growth factor/CCN2 expression in human dermal fibroblasts by interleukin-1α and β. J Cell Biochem 2010;110:1226-1233.

21. Lodish H, Berk A, Zipursky Sea. Molecular Cell Biology. 4th ed. New York: W. H. Freeman; 2000.

22. Schatz PM, Sackers R, Uder B, Schorr J, Liu D. RT2 Profiler PCR Array Data Analysis v3.5 . 2012; Available at:

http://pcrdataanalysis.sabiosciences.com/pcr/arrayanalysis.php. Accessed 05/21, 2014. 23. Livak K, Schmittgen T. Analysis of relative gene expression data using real-time

quantitative PCR and the 2(-Delta Delta C(T)) method. Methods 2001;25(4):402-408.

References

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