| Literature DB >> 23767824 |
Carlos J Sanchez1, Catherine L Ward, Desiree R Romano, Brady J Hurtgen, Sharanda K Hardy, Ronald L Woodbury, Alex V Trevino, Christopher R Rathbone, Joseph C Wenke.
Abstract
BACKGROUND: Osteomyelitis is a severe and often debilitating disease characterized by inflammatory destruction of bone. Despite treatment, chronic infection often develops which is associated with increased rates of treatment failure, delayed osseous-union, and extremity amputation. Within affected bone, bacteria exist as biofilms, however the impact of biofilms on osteoblasts during disease are unknown. Herein, we evaluated the effect of S. aureus biofilms on osteoblast viability, osteogenic potential, and the expression of the pro-osteoclast factor, receptor activator of NF-kB ligand (RANK-L).Entities:
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Year: 2013 PMID: 23767824 PMCID: PMC3691632 DOI: 10.1186/1471-2474-14-187
Source DB: PubMed Journal: BMC Musculoskelet Disord ISSN: 1471-2474 Impact factor: 2.362
Primers used in this study
| Activating transcription factor 4 | ATF | Sense CCCTTCACCTTCTTACAACCTC |
| | (NM_182810) | Antisense TGCCCAGCTCTAAACTAAAGGA |
| Runt-related transcription factor 2 | RUNX2 | Sense TGGTTACTGTCATGGCGGGTA |
| | (NM_001015051) | Antisense TCTCAGATCGTTGAACCTTGCTA |
| Alkaline phosphatase | ALP | Sense AACATCAGGGACATTGACGTG |
| | (NM_001127501) | Antisense GTATCTCGGTTTGAAGCTCTTCC |
| Osteocalcin | BGLAP | Sense CACTCCTCGCCCTATTGGC |
| | (NM_000711) | Antisense GCCTGGGTCTCTTCACTACCT |
| Osteonectin | SPARC | Sense CCCATTGGCGAGTTTGAGAAG |
| | (NM_003118) | Antisense AGGAAGAGTCGAAGGTCTTGTT |
| Receptor Activator of NF-KB Ligand | RANK-L | Sense GTCTGCAGCGTCGCCCTGTT |
| | (NM_003701) | Antisense ACCATGAGCCATCCACCATCGC |
| Osteoprotegerin | OPG | Sense CGCCTCCAAGCCCCTGAGGT |
| | (NM_002546) | Antisense CAAGGGGCGCACACGGTCTT |
| Glyceraldehyde-3-phosphate | GAPDH | Sense CAGCCTCCCGCTTCGCTCTC |
| (NM_002046) | Antisense CCAGGCGCCCAATACGACCA |
Primers used in this study were obtained from Primer Bank “PCR Primers for gene Expression Detection and Quantification”. http://pga.mgh.harvard.edu/primerbank/ (The Center for Computational and Integrative Biology). All selections were made relative to comparable annealing temperatures, as well as products close to 100bp in length to maintain consistent PCR conditions.
Figure 1Soluble factors produced by biofilms. A) Representative SEM images of S. aureus strain UAMS1 (top panel) and SAMMC −700 (bottom panel) after 48 hr growth (scale bars =10 μm). B) Total protein (μg/mL) within the BCMs of S. aureus clinical strains as determined by the BCA assay. C) Proteomic analysis of BCM from S. aureus strain SAMMC-700 by mass spectroscopy. Proteins identified within the BCM were separated into functional categories, and represented as a percentage of the total proteins identified.
Figure 2Biofilm factors reduce viability and activate apoptosis in human osteoblasts.A) Viability in osteoblast expressed as ratio of fluorescence (495ex/515em) normalized to non-treated control group B) Total DNA recovered from osteoblasts following treatment with BCM, normalized to day 0 controls. Bars represent experimental averages of three independent experiments ± standard deviation. C) Representative flow-cytometry histograms measuring apoptosis in osteoblasts exposed to BCM for 24 hr by Annexin V staining and D) corresponding percentages of Annexin V positive cells from two independent experiments. Statistical analysis was performed using a One-Way ANOVA with a Bonferroni test to determine statistical differences between groups; *p<0.01, ** p<0.001 versus controls.
Figure 3Staphylococcal biofilm factors inhibit osteogenic differentiation in human osteoblasts. A) ALP concentration in osteoblasts exposed to BCM. Bars represent the averages ± std dev from three independent experiments. B) Calcium deposition in osteoblasts and C) osteocalcin in osteoblasts treated with BCM revealed by Alizarin Red S staining and immunofluoresence using specific antibody, respectively. Images were taken at 10× magnification (bars represent 100 μm). Statistical analysis was performed using a One-Way ANOVA analysis using a Bonferroni test to determine statistical differences between groups.* p< 0.01 versus control group.
Relative expression of genes involved in osteogenic differentiation
| | ||||
|---|---|---|---|---|
| | | | | |
| No Treatment (+ osteogenic media)* | 1.12 ± 0.10 | 5.333 | 2.55 ± 0.23 | 3.643 |
| UAMS-1 | 0.12 ± 0.18 | 0.590 | 0.93 ± 0.22 | 1.329 |
| SAMMC-700 | 0.08 ± 0.25 | 0.381 | 0.13 ± 0.80 | 0.186 |
| | | | | |
| No Treatment (+ osteogenic media)* | 35.4 ± 10.0 | 2.476 | 72.1 ± 0.30 | 3.433 |
| UAMS-1 | 16.1 ± 0.15 | 1.126 | 26.1 ± 1.00 | 1.243 |
| SAMMC-700 | 13.5 ± 0.16 | 0.944 | 19.3 ± 0.21 | 0.919 |
| | | | | |
| No Treatment (+ osteogenic media)* | 5.73 ± 0.14 | 6.374 | 9.01 ± 0.04 | 15.615 |
| UAMS-1 | 0.17 ± 0.01 | 0.187 | 1.12 ± 0.04 | 2.166 |
| SAMMC-700 | 0.27 ± 0.01 | 0.306 | 0.21 ± 0.10 | 0.406 |
| | | | | |
| No Treatment (+ osteogenic media)* | 0.77 ± 0.04 | 6.814 | 6.0 ± 0.33 | 40.816 |
| UAMS-1 | 0.001 ± 1.00 | 0.009 | 0.10 ± 0.33 | 0.680 |
| SAMMC-700 | 0.001 ± 0.51 | 0.009 | 0.01 ± 0.34 | 0.068 |
| | | | | |
| No Treatment (+ osteogenic media)* | 174 ± 37.8 | 2.568 | 124 ± 0.21 | 1.879 |
| UAMS-1 | 44.5 ± 22.7 | 0.656 | 48.7 ± 0.24 | 0.738 |
| SAMMC-700 | 35.7 ± 24.2 | 0.526 | 84.9 ± 0.25 | 1.286 |
afold difference is the difference in relative gene expression compared to osteoblasts grown under. non-osteogenic conditions (− osteogenic media).
*Indicates a positive osteogenic differentiation control; osteogenic media no BCM treatment.
Figure 4Biofilm-derived factors increase the expression of RANK-L and the RANK-L/OPG ratio in human osteoblasts. Relative gene expression of A) RANK-L, B) OPG, and C) the RANK-L/OPG ratio in osteoblasts exposed to BCM for 1, 3,7 and 14 days. Gene expression levels were measured by qRT-PCR, normalized to the internal control GAPDH, and presented as relative expression using the 2-ΔCT method. Bars represent averages ± standard deviation from three independent experiments. Statistical analysis was performed using a One-Way ANOVA analysis using a Bonferroni test to determine statistical differences between groups at each timepoint; * p< 0.01 versus control group.