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. 2005 Sep;73(9):6169–6173. doi: 10.1128/IAI.73.9.6169-6173.2005

Gene Expression Profile Analysis of Porphyromonas gingivalis during Invasion of Human Coronary Artery Endothelial Cells

Paulo H Rodrigues 1, Ann Progulske-Fox 1,*
PMCID: PMC1231123  PMID: 16113342

Abstract

Microarrays were used to identify genes of Porphyromonas gingivalis W83 differentially expressed during invasion of primary human coronary artery endothelial cells. Analyses of microarray images indicated that 62 genes were differentially regulated. Of these, 11 genes were up-regulated and 51 were down-regulated. The differential expression of 16 selected genes was confirmed by real-time PCR.


Several epidemiological studies have led to the hypothesis of an infection theory of atherosclerosis (31, 39). An accumulation of evidence suggests that periodontopathogenic bacterial species, among others, may be involved in cardiovascular diseases (1, 8, 22, 29, 30, 32). In addition to these data, there is also biological evidence for such a relationship. For example, periodontal pathogens can be detected in atheromas dissected from vascular tissues (17), and Porphyromonas gingivalis has been shown to accelerate atherosclerosis in apolipoprotein E-deficient mice (16, 26, 28). In addition, several studies have demonstrated that P. gingivalis internalizes within arterial endothelial cells and smooth muscle cells in vitro (7, 10) and can also induce foam cell formation and secretion of monocyte chemoattractants, both important phenomena in atherosclerotic lesion formation (25). Most recently, a direct correlation between the presence of P. gingivalis in periodontal plaque and the progression of atherosclerosis (9), as well as the isolation of viable P. gingivalis from atherosclerotic tissue (24), has been reported. P. gingivalis is known to have a direct route to the circulatory system in periodontitis patients (3, 38). Therefore, invasion of coronary artery cells by P. gingivalis may be involved in atherosclerosis.

To identify genes differentially expressed during the course of P. gingivalis invasion of human coronary artery endothelial cells (HCAEC), T-75 flasks with 90% confluence of HCAEC were infected with P. gingivalis strain W83 for 2.5 h as described previously (11, 27). Total RNA was isolated from both 10 ml of broth culture (prior to invasion) and internalized bacteria by using 10 ml of Trizol reagent followed by RNA isolation as described by the manufacturer (Invitrogen Life Technologies, Carlsbad, CA). All RNA samples were DNase treated and purified using the RNeasy kit (QIAGEN Inc., Valencia, CA). To separate bacterial total mRNA from poly(A) mRNA, cellular and internalized bacterial RNAs were also treated with the Oligotex kit (QIAGEN) according to the manufacturer's instructions and the supernatant (invasion RNA) was again treated with Trizol LS reagent (Invitrogen Life Technologies). Reverse transcription (RT) and microarray reactions were performed either with 2.0 μg of total bacterial RNA (control) or with invasion RNA (200 μg of total RNA containing 2.0 μg of bacterial RNA), collected from one T-75 flask of invaded HCAEC (per microarray slide), as previously described (14, 37). Details of the microarrays can be found at http://www.tigr.org. The resulting images were analyzed by TIGR Spotfinder 1.0 and TIGR Multiple Experiment Viewer software 1.2 (The Institute for Genomic Research [TIGR] [http://www.tigr.org]). The generated files were imported into Microsoft Excel (Microsoft Corporation, Redmond, WA) for subsequent analyses. The results represent the common findings of three independent biological replicate arrays performed with three different RNA samples. Genes were identified as differentially expressed if there was a 2.0-fold difference in their average expression values. To confirm the microarray data, 16 different genes were subjected to RT-PCR (Table 1) using an iCycler Thermal Cycler and iQ SYBR green supermix according to the manufacturer's instructions (Bio-Rad Laboratories). DNA fragments of each gene were used as internal controls and standard curves. Subsequent data normalization and analysis were performed by using the iCycler and Microsoft Excel softwares. All locus numbers and operon predictions were obtained from the website for TIGR.

TABLE 1.

Comparison of RT-PCR and microarray expression values of selected genes

Locus no.a Putative identificationa Expression value
RT-PCRc Microarrayb
PG0092 Transporter, putative 15.12 5.37
PG0120 UDP-N-acetylglucosamine 2-epimerase −9.01 −12.46
PG0186 Lipoprotein RagB −1.59 −13.27
PG0195 Rubrerythrin 1.33 −6.15
PG0280 ABC transporter, permease protein, putative 9.01 6.67
PG0686 Conserved hypothetical protein 23.84 10.51
PG1116 Methylenetetrahydrofolate dehydrogenase/methenyltetrahydrofolate cyclohydrolase 25.06 4.63
PG1172 Iron-sulfur cluster binding protein, putative 94.51 3.57
PG1286 Ferritin 23.01 2.72
PG1321 Formate-tetrahydrofolate ligase 11.19 5.73
PG1492 Hypothetical protein −71.35 −4.50
PG1682 Glycosyl transferase, group 1 family protein 6.21 3.63
PG1683 Conserved hypothetical protein 359.52 2.96
PG1795 Hypothetical protein −5.28 −7.92
PG1864 Leucine-rich protein −60.67 −6.69
PG1896 S-Adenosylmethionine synthase 16.93 3.51
PG2064 Hypothetical protein −3.34 5.19
a

Locus number and putative identification are according to the TIGR P. gingivalis genome database.

b

Expression values are expressed as average experimental intensities/average control intensity.

c

Expression values are expressed as average experimental starting quantity/average of control starting quantity.

Analysis of microarray images showed that a total of 63 genes were differentially regulated (Fig. 1). Of these genes, 11 were up-regulated (Table 2) and 52 were down-regulated (Table 3) during invasion of HCAEC, compared with those growing in broth culture. Among the up-regulated genes are several that may be involved in intracellular trafficking and/or interactions with autophagosomal vesicles or other virulence functions. Examples are as follows. (i) PG1682 encodes a glycosyl transferase, and PG1683 encodes a conserved hypothetical protein which has homology to α-amylases. These enzymes have been suggested to be involved in the attachment of P. gingivalis to epithelial cells (glycosyl transferase) (4) and coaggregation of P. gingivalis with other oral bacterial species (hypothetical protein) (15, 23). Genes PG1682 and PG1683 might also be involved in the coaggregation of P. gingivalis with cell membranes (autophagosomes). (ii) PG0280 encodes a putative ABC transporter permease protein that is organized as a channeling pore complex through the membrane (34). The ABC transporter superfamily is responsible for the translocation of a wide variety of substances into or out of cells. However, the substrate of this particular ABC transporter has not yet been described. (iii) PG0092 encodes a putative transporter of unknown substrate which belongs to the HlyD secretion protein family (34). The HlyD family of secretion proteins is involved in the activation and release of hemolysins in Escherichia coli (19, 41, 42) as well as in the secretion of toxins in other bacterial species (18, 21). Perhaps related, PG1286 (ftn) encodes a ferritin and PG1172 encodes a putative iron-sulfur cluster binding protein, a prosthetic group present in a diverse set of proteins involved in environmental sensing, gene regulation, and substrate activation. (iv) PG1896 (metk) encodes an S-adenosylmethionine synthase, the product of which is S-adenosylmethionine (SAM), a major methyl donor in metabolism. SAM is an essential metabolite in yeasts (5), and the lack of SAM in E. coli cells has been shown to result in a cell division defect (35). In previous work in our laboratory, Dorn et al. (12) observed profiles of P. gingivalis dividing inside late autophagosomes. Therefore, PG1896 could be involved in intracellular replication of P. gingivalis. However, its up-regulation may be due to other metabolic processes necessary for the survival of P. gingivalis inside of HCAEC.

FIG. 1.

FIG. 1.

Distribution of differentially expressed genes grouped by functional classification according to the TIGR P. gingivalis genome database. Numbers above the bars indicate the number of genes differentially expressed in each functional group.

TABLE 2.

P. gingivalis genes up-regulated during invasion of human coronary artery endothelial cells

Locus no. Putative identificationa Cellular rolea Expression valueb
PG0092 Transporter, putative Transport and binding protein 5.37
PG0280 ABC transporter, permease protein, putative Transport and binding protein 6.67
PG0686 Conserved hypothetical protein Hypothetical protein 10.51
PG1116 Methylenetetrahydrofolate dehydrogenase/methenyltetrahydrofolate cyclohydrolase Biosynthesis of cofactors, prosthetic groups, and carriers 4.63
PG1172 Iron-sulfur cluster binding protein, putative Energy metabolism 3.57
PG1286 Ferritin Transport and binding protein 2.72
PG1321 Formate-tetrahydrofolate ligase Central intermediary metabolism 5.73
PG1682 Glycosyl transferase, group 1 family protein Cell envelope 3.63
PG1683 Conserved hypothetical protein Hypothetical protein 2.96
PG1896 S-Adenosylmethionine synthase Central intermediary metabolism 3.51
PG2064 Hypothetical protein Hypothetical protein 5.19
a

Locus number, identification and functional classification are according to the TIGR P. gingivalis genome database.

b

Expression values are expressed as average experimental intensities/average control intensity.

TABLE 3.

P. gingivalis genes down-regulated during invasion of human coronary artery endothelial cells

Locus no. Putative identificationa Cellular rolea Expression valueb
PG0120 UDP-N-acetylglucosamine 2-epimerase Cell envelope 12.46
PG0121 DNA-binding protein HU Cell envelope 4.70
PG0145 Hypothetical protein Hypothetical protein 14.60
PG0176 Cell surface protein, interruption Cell envelope 16.35
PG0178 Cell surface protein, interruption Cell envelope 9.29
PG0186 Lipoprotein RagB Cell envelope 13.27
PG0195 Rubrerythrin Energy metabolism 6.15
PG0272 Gliding motility protein GldE, putative Cellular processes 8.12
PG0288 Lipoprotein, putative Cell envelope 5.79
PG0315 Ribosomal protein L27 Protein synthesis 5.74
PG0375 Ribosomal protein L13 Protein synthesis 3.93
PG0389 Transcription antitermination protein NusG Transcription 24.85
PG0390 Ribosomal protein L11 Protein synthesis 7.59
PG0392 Ribosomal protein L10 Protein synthesis 14.78
PG0616 Thioredoxin, putative Energy metabolism 12.29
PG0618 Alkyl hydroperoxide reductase, C subunit Cellular processes 4.22
PG0687 Succinate-semialdehyde dehydrogenase Energy metabolism 6.71
PG0689 NAD-dependent 4-hydroxybutyrate dehydrogenase Energy metabolism 16.24
PG0762 Trigger factor, putative Protein fate 6.69
PG0779 Hypothetical protein Hypothetical protein 7.83
PG0780 Hypothetical protein Hypothetical protein 10.79
PG0992 Threonyl-tRNA synthetase Protein synthesis 9.35
PG1078 Electron transfer flavoprotein, alpha subunit Energy metabolism 12.55
PG1084 Thioredoxin family protein Energy metabolism 14.60
PG1105 RNA polymerase sigma-54 factor Transcription 5.08
PG1153 Hypothetical protein Hypothetical protein 4.85
PG1189 Hypothetical protein Hypothetical protein 6.52
PG1256 Ribonuclease, Rne/Rng family Transcription 15.55
PG1265 Hypothetical protein Hypothetical protein 8.33
PG1304 Hypothetical protein Hypothetical protein 3.89
PG1492 Hypothetical protein Hypothetical protein 4.50
PG1602 YibR protein Unknown function 12.45
PG1703 MazG family protein Unknown function 11.44
PG1788 Cysteine peptidase, putative Protein fate 19.58
PG1795 Hypothetical protein Hypothetical protein 7.92
PG1807 v-type ATPase, subunit K Energy metabolism 3.46
PG1823 Hypothetical protein Hypothetical protein 4.28
PG1864 Leucine-rich protein Unknown function 6.69
PG1911 DNA-directed RNA polymerase, alpha subunit Transcription 26.25
PG1913 Ribosomal protein S11 Protein synthesis 5.34
PG1917 Methionine aminopeptidase, type I Protein fate 17.61
PG1918 Preprotein translocase, SecY subunit Protein fate 24.52
PG1926 Ribosomal protein L5 Protein synthesis 12.25
PG1935 Ribosomal protein L2 Protein synthesis 9.48
PG1937 Ribosomal protein L4 Protein synthesis 9.86
PG1944 3-Phosphoshikimate 1-carboxyvinyltransferase Amino acid biosynthesis 6.23
PG1956 4-Hydroxybutyrate coenzyme A-transferase Energy metabolism 6.82
PG1973 Hypothetical protein Hypothetical proteins 1.86
PG1974 Hypothetical protein Hypothetical proteins 59.99
PG2082 POT family protein Transport and binding proteins 6.04
PG2192 Peptidase, M23/M37 family Protein fate 6.71
PG2205 2-Dehydropantoate 2-reductase, putative Biosynthesis of cofactors, prosthetic groups, and carriers 19.30
a

Locus number, identification and functional classification according to TIGR P. gingivalis genome database.

b

Expression values are expressed as average experimental intensities/average control intensity.

In contrast to genes up-regulated during invasion assays, a larger number of genes (52 of 63) were down-regulated (Table 3). Several of the down-regulated genes (12 of 52) are hypothetical proteins; however, a substantial number of down-regulated genes (21 of 52) are likely involved in protein synthesis, transcription, and energy metabolism. This reduced level of expression may indicate a reduced intracellular bacterial growth rate and/or that intracellular P. gingivalis organisms at this time point have limited but more specific metabolic activity when compared with laboratory-grown late-log-phase bacteria.

This is the first report of a global genomic expression profile of intracellular P. gingivalis during invasion of endothelial host cells. The results presented here may provide new insights at the molecular level of P. gingivalis gene expression once inside human cells. It is expected that the gene expression profiles will differ at earlier or later times during invasion of HCAEC cultures. Similarly, P. gingivalis genetic expression profiles would be expected to differ in different cell lines, since P. gingivalis traffics intracellularly differently in different cell types (2, 6, 12, 13, 20, 33, 36, 40). We are currently studying these genes and their products to better understand the invasive mechanism of P. gingivalis.

Acknowledgments

This work was supported by grant NIH DE013545.

We thank The Institute for Genomic Research (Rockville, MD) for kindly providing the microarray slides supported by NIH DE10510 and Henry Baker and Cecilia Lopez for advice and assistance with array screening.

Editor: J. B. Bliska

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