Erika C.
von Grote
a,
Venkat
Venkatakrishnan
ab,
Jia
Duo†
a and
Julie A.
Stenken
*a
aDepartment of Chemistry and Biochemistry, University of Arkansas, Fayetteville, AR 72701, USA. E-mail: jstenken@uark.edu; Fax: +1 479-575-4049; Tel: +1 479-575-7018
bCellular and Molecular Biology Program, University of Arkansas, Fayetteville, AR 72701, USA
First published on 23rd August 2010
Cytokines are important mediators of the wound healing response. However, sampling of cytokines from the interstitial fluid at a healing wound site in experimental animals is a challenge. Microdialysis sampling is an in vivo collection option for this purpose as it permits continuous sampling, while remaining contiguous with the wound microenvironment. The polymeric membrane of the microdialysis probe is a foreign material thus allowing a unique approach to sample cytokines generated during a foreign body response (FBR). The focus of these studies was to use microdialysis sampling to collect cytokines from a microdialysis probe implant site in a rat model of a FBR up to 6 days post implantation. Fluorescent bead-based immunoassays (Luminex™) were used to quantify monocyte chemoattractant protein-1 (MCP-1/CCL2), interleukin-6 (IL-6) and interleukin-10 (IL-10) in the dialysates. Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) was used to cross validate the protein measurements obtained via micorodialysis sampling. A histological examination of tissue was also performed to assess the progression in leukocyte extravasation and collagen deposition surrounding implanted probes. Our findings demonstrate that in vivomicrodialysis sampling can be used to collect temporal concentrations of cytokines which are consistent with wound healing and the development of a FBR.
Cytokines are a class of signaling molecules released by numerous cell types at a wound site including keratinocytes, endothelial cells, neutrophils, macrophages, lymphocytes and fibroblasts.4,8,9 These proteins generally function over short time spans, at picomolar concentrations, and propagate both redundant and pleiotropic effects. Accumulations of cytokine gradients result in the recruitment and activation of specific leukocytes, neutrophils and monocytes/macrophages, which are the initial mediators of the inflammation process. Although the typical function of both neutrophils and macrophages includes the amplified secretion of pro-inflammatory cytokines and clearance of cellular debris, it is the role of the activated macrophage which predominantly mediates the transition from normal wound healing to a FBR.10–12
Macrophages promote wound healing by secreting a tremendous variety of growth factors, pro- and anti-inflammatory cytokines which expedite cell proliferation, angiogenesis and tissue remodeling; however in a sustained state of activation evoked by a foreign material, the culmination of cytokine secretion results in increased fibrogenesis and encapsulation of the implanted material.1,13 The FBR not only has a destructive impact on biomaterials, but ultimately impedes biosensor function by forming a barrier and limiting the diffusion of analytes in the surrounding tissue.14
To date, the collection of cytokines in interstitial fluid has been successfully carried out using nylon wicks, hollow tubes and sponge implants.15–19 However, the practicality of these in vivo collection techniques causes analysis challenges. The integrity of the cytokine milieu in an actively-healing wound microenvironment may be influenced by the introduction of the collection device, and collected sample volumes may fall below that which is required for a typical immunoassay (∼100 μL). Small sample volume also limits the number of cross-validation assays which can be employed to analyze a single sample.
For biomaterials studies, a popular method known as the “cage system”, typically used in the rat model of the FBR, involves the use of a cylindrical stainless steel mesh enclosure surrounding an implanted material. The cage system facilitates repeated collection of exudate from the microenvironment surrounding the tissue–material interface.20 Several features of this technique may confer possible complications such as the repeated fluid extraction by hypodermic syringe insertion and the necessity to discriminate between the immune response elicited by the stainless steel cage and that of the target biomaterial. Furthermore, the spatial integrity of collection location in relation to implanted material may not precisely represent the conditions at the tissue–material interface.
An ideal approach to the sampling of interstitial fluid during a FBR would be to use a minimally-invasive implanted collection device which also elicits an immunological response. Microdialysis sampling is based on the passive diffusion of soluble analytes from the interstitial spaces of tissues or organs using an implanted probe and has been recently reviewed.21,22Microdialysis sampling has been successfully used to collect cytokines from the cutaneous interstitial fluids in a variety of applications.22–24 The system includes concentrically-aligned inlet and outlet tubing, at the junction of which is a hollow polymeric probe. The terminus of the probe houses a semi-permeable membrane which permits the passive diffusion of analytes from the interstitial fluid across the probe membrane and into the out-circulating dialysate. The flow of the perfusion fluid is maintained at a continuous rate by a syringe pump. The perfusion fluid is designed to isotonically match the extracellular fluid. This characteristic minimizes loss of perfusion fluid across the membrane into the tissue, and promotes passive diffusion as the primary mode of solute transport across the membrane into the probe. Passive diffusion is supported by a fluid flow-rate of 0.5–2 μL min−1 and the selection of cytokine molecules in the appropriate molecular weight range is attained using a microdialysis probe membrane with a molecular weight cut off value (MWCO) of at least 100 kDa.23 Relative recovery (RR) across the membrane is defined as the ratio between the analyte concentration in the dialysate divided by the sample concentration, i.e., RR = Cdialysate/Csample.
Comparatively this collection technique is advantageous for multiple reasons; it facilitates continuous sampling over time, its small size (∼500 μm) is less disruptive to the wound site, and the dialysate sample typically requires no further processing prior to chemical analysis of its contents. Additionally, the advantage of the awake and freely moving animal system allows any potential effect of anesthetic or suppression of the immune response due to lower body temperatures incurred during anesthesia to be minimized.25,26
With respect to a FBR, cytokines are categorized as either pro-inflammatory/anti-wound healing or anti-inflammatory/pro-wound healing. In our studies we chose to measure monocyte chemoattractant protein-1 (MCP-1/CCL2) and interleukin-6 (IL-6) based on their abilities to promote macrophage infiltration and inflammation, respectively. We also chose to measure interleukin-10 (IL-10) based on its ability to suppress the transcription of pro-inflammatory cytokines.4,7,27
The goal of the present study was to use microdialysis sampling in a rat model to characterize a subcutaneous FBR to an implanted probe. Cytokine concentrations in dialysates were quantified using a bead-based fluorescence sandwich immunoassay. Additionally, the cytokine gene expression in tissue at the probe interface was also determined by quantitative reverse-transcription polymerase chain reaction (qRT-PCR) to cross validate data. Histological analysis of tissue at the probe interface was also performed to demonstrate the localized infiltration of leukocytes and increase of collagenous deposition which corresponds with a FBR.
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Fig. 1 MCP-1 concentrations in collected dialysates from 1 (a), 3 (b) and 6 day (c) microdialysis probe implants. Dialysis probes implanted in the subcutaneous space were perfused at 3 μL min−1 in the first 10 min (void volume) followed by a 1 μL min−1 collection period to 160 min. The “n” values indicate the number of probes that provided detectable protein concentrations from 11 working probes. N.D. = not detectable. Symbols are as follows: the box represents the 25–75 percentile; the line through the box represents the median, the whiskers represent the fence, and ■ represents the mean, and ▼ represents the outliers. |
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Fig. 2 IL-6 concentrations in collected dialysates from 1 (a), 3 (b) and 6 day (c) microdialysis probe implants. Dialysis probes implanted in the subcutaneous space were perfused at 3 μL min−1 in the first 10 min (void volume) followed by a 1 μL min−1 collection period to 160 min. The “n” values indicate the number of probes that provided detectable protein concentrations from 11 working probes. N.D. = not detectable. Symbols are as follows: the box represents the 25–75 percentile; the line through the box represents the median, the whiskers represent the fence, and ■ represents the mean, and ▼ represents the outliers. |
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Fig. 3 IL-10 concentrations in collected dialysates from 1 (a), 3 (b) and 6 day (c) microdialysis probe implants. Dialysis probes implanted in the subcutaneous space were perfused at 3 μL min−1 in the first 10 min (void volume) followed by a 1 μL min−1 collection period to 160 min. The “n” values indicate the number of probes that provided detectable protein concentrations from 11 working probes. N.D. = not detectable. Symbols are as follows: the box represents the 25–75 percentile; the line through the box represents the median, the whiskers represent the fence, and ■ represents the mean, and ▼ represents the outliers. |
Sample values which fell below the established limit of detection were designated as non-detectable (N.D.). Additionally, at least one of the 12 probes in each group (1, 3 and 6 days) failed to deliver dialysate after implantation. The non-parametric box and whisker plot diagram was chosen as the most suitable presentation for these data. Boxes indicate the distribution of 75th and 25th data percentile (the interquartile range), upper and lower quartiles respectively. Whiskers indicate the values for the upper (75th percentile + 1.5 × interquartile range) and lower (25th percentile − 1.5 × interquartile range) fence values. Sample concentrations that fall out of the fence area are deemed outliers. The total number of quantifiable dialysates (total denoted by “n” number) at each time increment within each group is denoted on the graphs. The median and mean values are represented by the crosshatch and square within each box, respectively.
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Fig. 4 Gene expression of MCP-1, IL-6 and IL-10 expression in tissue surrounding 1, 3 and 6 day microdialysis probe implants. Total RNA was extracted from subcutis and dermis tissue surrounding probes in 1 day (a), 3 day (b) and 6 day (c) implant groups. Raw data were normalized with expression values for the endogenous control 18S rRNA. The log base 2 transformed expression ratios (fold-change) represent the mean values of four animals per treatment group ± SEM (represented by error bars). Significance is denoted as *p < 0.05, **p < 0.01. |
The PCR amplification efficiencies of each primer set were evaluated in both control and treatment tissue samples and the efficiency correction technique was used to calibrate the data.29 A template of 200 ng cDNA was determined as the most suitable concentration for reactions with each of the primer sets. All gene expression data were normalized against expression values for the 18S rRNA gene in the same tissues. By evaluating the PCR cycle threshold (Ct) value equivalence in both control and treatment tissues it was determined that the 18S rRNA gene was a suitable endogenous control for dermis and subcutis tissues. It was also determined that the commonly used actin-beta (ACTB) and hypoxanthine phosphoribosyltransferase-1 (HPRT-1) endogenous control genes were not appropriate controls for our tissue type.
Expression ratio values were tested for significance by a Pair Wise Fixed Reallocation Randomization Test© using the REST© (Relative Expression Software Tool). The log base 2 transformed expression ratios represent the mean values of four animals per treatment group ± SEM (represented by error bars).
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Fig. 5 Localization of inflammatory cell infiltrate and disrupted collagen surrounding a microdialysis probe explanted after 1 day. Light micrographs of hematoxylin and eosin (H & E) stained axially-sectioned probe ((a) 100×, (b) 400×) showed red blood cells (A, dark pink), damaged connective tissue fibers (B, light pink), and inflammatory cells (C, dark blue) which appeared embedded in a loose ECM. |
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Fig. 6 Dense localization of inflammatory cell infiltrate, and organization of provisional fibrin and collagen matrix surrounding a microdialysis probe explanted after 6 days. Light micrographs of hematoxylin and eosin (H & E) stained axially-sectioned probe ((a) 100×, (b) 400×) showed an increased aggregation of inflammatory cells (A, dark/med blue nuclei), fibroblasts (B, dark blue elongated nuclei), and fibrin/collagen (pink) in a more tightly organized ECM surrounding the probe. |
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Fig. 7 Loose organization of ECM and disrupted collagen surrounding a microdialysis probe explanted after 1 day. Light micrographs of a Masson's Trichrome stained axially-sectioned probes ((a) 100×, (b) 400×) showed damaged collagen and connective tissue fibers (A, light blue), and a minimal number of inflammatory cells (B, dark blue) organized in the ECM surrounding the probe. |
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Fig. 8 Formation of an organized ECM with fibrin/collagen surrounding a microdialysis probe explanted after 6 days. Light micrographs of a Masson's Trichrome stained axially-sectioned probes ((a) 100×, (b) 400×) showed denser and more organized fibrin/collagen deposition (A, bright blue) and numerous inflammatory cells (B, dark/med blue) aggregated within close proximity to the probe–tissue interface. |
The cytokine activity generated in the very early stages (∼first week) of healing is an important predictor of the ultimate rate and outcome of the reparative and fibrotic activity in response to a specific foreign material.20,33–35 Serum proteins, neutrophils and recruited monocytes, which initially coat the implanted material, give rise to a population of biomaterial-adherent activated macrophages.3,36 The specific combination of cytokines secreted by macrophages localized to the surrounding ECM and those which are biomaterial-adherent is the primary source of pro/anti-inflammatory cytokine signaling determining the course of the FBR. Furthermore, the cytokine profile of adherent macrophages is uniquely influenced by the surface chemistry of the material.31,36–40 Commonly used hydrophobic biomaterials, similar to the hydrophobic/neutral surface chemistry of the PES membrane of the microdialysis sampling probe, are known to evoke fibrinogen deposition, platelet aggregation, and promote increased cytokine concentrations and fibrosis.2,3,41–43
The concentration of chemoattractant MCP-1 at an acute-phase wound site strongly promotes the rate and the distribution of infiltrating monocytes.44–46MCP-1 concentrations also contribute to extracellular matrix remodeling and also correlate with an increased rate of wound site regeneration, which has been demonstrated by the use of anti-MCP-1 antibody.33,34,47,48 In normal wound healing, the increased MCP-1 concentrations secreted by monocytes/macrophages are confined to the first few days post injury.30,33,49
The modulating influence of IL-6 over the acute-phase of the inflammatory response is underscored by evidence demonstrating how IL-6 “knockout” mice have not only defects in their ability to promote necessary MCP-1 production by cells at a wound site, but also in the effective recruitment of leukocytes to a subcutaneous lesion.50,51 In normal wound healing, IL-6 concentrations (validated with gene expression data) peak within the first day post-injury, after which they begin to decline by the 3rd day, and are almost equivalent to controls by the 10th day.52
The anti-inflammatory cytokine IL-10 is secreted by a large number of activated cells in wound tissue including keratinocytes, mast cells, basophils, macrophages and TH2-activated T lymphocytes and acts primarily to suppress the production of pro-inflammatory cytokines produced by activated macrophages, induce anti-inflammatory/pro-wound healing growth factors, and inhibit further wound site infiltration by neutrophils and macrophages.27,53–56
In our studies we observed an increase in all cytokine levels on the 1st day of implantation. Sampling of the 3 and 6 day implant groups included void volume fluid—the static perfusion fluid inside the probe and tubing in which passively diffusing cytokines can accumulate. Measurement of the void volumes in the 3 day implant group revealed high accumulations of MCP-1 and IL-6 (330 pg mL−1 and 430 pg mL−1, respectively), but not IL-10 (10 pg mL−1). During the subsequent active collection period (10–160 min), MCP-1 and IL-10 concentrations declined to low but consistent levels, while IL-6 demonstrated an increase. IL-10 concentrations measured in void volumes were not high and did not change substantially during the active collection period. Sampling of the 6 day implant group also revealed high accumulation of MCP-1 and IL-6 concentrations (2305 pg mL−1 and 215 pg mL−1, respectively) but not IL-10 (15 pg mL−1) in the initial void volumes. However, unlike the 3 day group, the active collection period of the 6 day group showed an increase in all cytokine concentrations.
In previously reported data by this lab, IL-6 in void volumes sampled in 3 and 7 day probe implant groups were measured at slightly higher concentrations of 470 and 290 pg mL−1, respectively.28 The higher concentrations observed in this previous study are likely the result of the slower flow rate (1 μL min−1) that was used during the void volume collection period (0–30 min), which increases relative recovery of cytokines passively diffusing into the probe membrane.
A comparison of the tissue-associated gene expression activity with the trend in protein concentration (during 70–160 min of the active collection period) demonstrated a good correlation between the increase in both IL-6 and MCP-1 protein and gene expression (Table 1). There has been much written in the literature about the difficulties of correlating mRNA to protein expression.57 For cytokines there is some literature that has compared cytokine protein and mRNA levels. In one case a correlation was found,58 yet in another there was no correlation.59 Observed differences between mRNA and protein levels are frequently due to kinetic variations with respect to expression vs.translation and ultimately degradation of either the mRNA or the protein.
Cytokine | Day 1 implant | Day 3 implant | Day 6 implant | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Avg. [protein]/pg mL−1 | Expression ratio (log 2) | Avg. [protein]/pg mL−1 | Expression ratio (log 2) | Avg. [protein]/pg mL−1 | Expression ratio (log 2) | |||||||
Minutes | Fold increase | Minutes | Fold increase | Minutes | Fold increase | |||||||
70–100 | 100–130 | 130–160 | 70–100 | 100–130 | 130–160 | 70–100 | 100–130 | 130–160 | ||||
MCP-1 | 60 | 110 | 135 | 4.0 | 25 | 20 | 20 | 2.1 | 30 | 50 | 80 | 4.9 |
IL-6 | 660 | 925 | 950 | 5.2 | 45 | 70 | 85 | 6.5 | 15 | 60 | 110 | 6.0 |
IL-10 | 80 | 85 | 65 | 1.8 | 10 | 15 | 15 | 1.5 | 15 | 15 | 25 | 2.7 |
In our studies, both the forms of measurement (expression vs. actual protein concentrations) demonstrate an initial increase in protein concentration and gene expression activity in the 1 day implant group, followed by a decrease in the 3 day implant group, followed by a rebound in the 6 day implant group. MCP-1 expression was observed to initially increase by 4.0-fold in the 1 day implant group, followed by a decrease to 2.1-fold in the 3 day implant group, matching a decrease in protein concentration. In tissue surrounding the 6 day implant MCP-1 expression appeared to rebound and peak at an increase of 4.9-fold. This rebound in expression activity is also matched with a gradual increase in MCP-1 protein concentration detected in dialysates from the 6 day implant.
IL-6 expression was observed to initially increase by 5.2-fold in the 1 day implant group, followed by a decrease to 3.5-fold in the 3 day implant group, matching a decrease in protein concentration. In tissue surrounding the 6 day implant, IL-6 expression appeared to rebound and peak at a 6-fold increase, which matched with an increase in IL-6 protein concentration detected in dialysates from the 6 day implant. The comparison of IL-10 gene expression activity with protein concentration trends was not as well correlated. When gene expression was observed to initially increase by 1.8-fold in the 1 day implant group, protein concentrations gradually declined over time. In the 3 day implant group, expression activity had decreased from 1.8 to 1.5-fold and overall protein concentration remained consistently low for the duration of the collection period. An explanation for this may be that under any given circumstance the level of mRNA transcription is not necessarily a direct corollary of protein concentration. Post-translational modifications and receptor-bound protein may alter detectable protein levels. In tissue surrounding the 6 day implant IL-10 expression increased to 2.7-fold, which also matched a slight increase in IL-10 protein concentration detected in dialysates.
Our results agree with a recent study which highlighted the temporal and spatial location of cytokines by immunostaining of explanted tissues at 2, 4 and 10 weeks post implantation.60 This study revealed several important pieces of information regarding the cellular events of the FBR. It showed that although IL-6, MCP-1 and IL-10 are all present at the site of implantation at all times, they are disparately localized as the FBR response progresses. IL-6 was extensively localized with fibroblasts and macrophages at the periphery of the lesions, and not with FBGCs close to the implant. Staining of IL-10 increased over time, but was only localized with macrophages and FBGCs within close proximity to the implant FBGCs. The staining of MCP-1 was to a lesser extent throughout the lesion, but was extensively stained with FBGCs. This evidence in combination with our results suggests that sustained secretion of pro-inflammatory cytokines occurs in a FBR, and their spatial location within the tissues is dependent on their proximity to the implanted material.
The possibility of this dynamic is supported by numerous in vitro and in vivo studies. The phenotype of activated macrophages has been characterized as classically-activated (host defense) or alternatively-activated (wound healing), where the former reflects a cytokine profile which is generally pro-inflammatory, and the latter describes one which reflects a more anti-inflammatory profile.10 The biomaterial adherent macrophages have a unique phenotype which has been characterized by a cytokine signature associated with both classically and alternatively-activated cytokines.31,39,40,60 It seems likely that the rebound in IL-6 and MCP-1 levels we observed in the 6 day implant group may reflect the cytokine profile of a gradual transition from wound healing to a FBR.
The histological evaluation of the explanted probes which compared immune cell recruitment and collagen accumulation surrounding the microdialysis probes at 1 and 6 days illustrated the spatial and cellular events that promote a FBR. Initially, immune cells infiltrate into the damaged tissue matrix surrounding the probe on the 1st day was marginal compared with the dense aggregation near the tissue/probe interface observed at 6 days post implantation. Although other research studies presenting histological analyses have mainly focused on the later stages of the FBR, our observations at 1 and 3 days seem consistent with the temporal progression of cellular activity which would precipitate into the later stages of a FBR.
The perfusion fluid consisted of phosphate buffered saline (PBS), pH 7.2, supplemented with 6% (w/v) Dextran 70 (31390, Sigma-Aldrich, St. Louis, MO) as an osmotic agent and 0.1% (w/v) bovine serum albumin (A7906, Sigma-Aldrich, St. Louis, MO). Perfusion fluid was prepared daily as needed and filter-sterilized with a 0.2 μm PES membrane filter (Whatman, Florham Park, NJ).
In all groups, temporal collection of dialysate from 0–10 min (3 μL min−1) followed by 10–40 min, 40–70 min, 70–100 min, 100–130 min and 130–160 min at 1 μL min−1 was performed. Six samples, 30 μL each, were obtained from each probe between 0–160 min. Samples were frozen at −80 °C, no longer than 4 days prior to analysis. Each group consisted of 6 rats and each rat was implanted with 2 probes.
A total of 2 μg RNA was used to generate cDNA in 20 μL reaction volumes using the High Capacity RNA-to-cDNA kit (Applied Biosystems, Foster City, CA). Reverse transcriptase reactions were performed in a Techne TC-3000 thermocycler for 60 min at 37 °C, followed by 5 min at 95 °C.
Photographs of histological preparations were taken with a Zeiss Axioplan 2 microscope with 10×/30 mm ocular lenses and both 10× and 40× objectives. The images were recorded with a high-resolution charge-coupled device camera and Auto-Montage digital imaging software (Zeiss, Thornwood, NY, USA) and Microsoft Power Point (2007).
Our results substantiate the current model of in vivocytokine response proposed for a wound healing/FBR. In this model the typical transition from acute pro-inflammatory to an anti-inflammatory phase, which corresponds with the down-regulation of IL-6 and MCP-1 and the up-regulation of IL-10, is instead characterized by a rebound in IL-6 and MCP-1 levels accompanied by a fibrotic response localized around the implanted material. Because a variety of cell types localized within the ECM throughout a wound site are a contributing source of cytokines in the FBR, in vitro FBR assay results need to be corroborated with in vivo assays. Our results show that microdialysis sampling has specific potential for in vivo applications, and our data contribute to the current body of knowledge focused on the temporal secretion of pro- and anti-inflammatory cytokines during the FBR.
Footnote |
† Present address: Clinical Research Center, Albert Einstein College of Medicine of Yeshiva University, Bronx, NY 10461, USA. |
This journal is © The Royal Society of Chemistry 2011 |