Introduction

Vascular remodeling has traditionally been thought to occur through abnormalities in vascular endothelial and media cells. In recent years, however, evidence has emerged suggesting that the vascular adventitia is the “first responder” and that adventitial remodeling is the initiator of vascular remodeling in a variety of cardiovascular diseases1, 2, 3. Adventitial fibroblasts (AFs) differentiate into myofibroblasts (MFs) that are capable of proliferating, migrating and synthesizing extracellular matrices. Phenotypic differentiation of AFs into MFs has long been thought to be a key step in vascular remodeling4, 5. Results from our laboratory have shed light on the role and mechanism of transformation of AFs into MFs in vascular remodeling over the last decades. However, the role of AFs in adventitial remodeling following chronic vascular injury, such as in hypertensive individuals, is rarely presented. Zhu6 first found that spontaneously hypertensive rats (SHR)-AFs proliferated faster than Wistar Kyoto rats (WKY)-AFs, and increased cell density in the adventitia of stroke-prone SHR was revealed by confocal microscopy7. Moreover, we also found that the migration of SHR-AFs was always greater than that of WKY-AFs after treatment with various stimulators8, 9. Nevertheless, the mechanism of adventitial remodeling in SHR remains elusive. Higher-throughput techniques of proteomics and genomics are necessary to study the alterations of genes and proteins in SHR-AFs in order to obtain a better understanding of the increased proliferation and migration of SHR-AFs. In this study, the proteomic differential expression profiles of SHR-AFs compared with age-matched WKY-AFs from animals 4 weeks to 24 weeks of age were investigated to explore proteins that are potentially related to adventitial remodeling in SHR-AFs during the occurrence and development of hypertension.

Materials and methods

Cell culture

The rats used in this study were 4-, 6-, 8-, and 24-week-old male SHR and WKY rats with specific pathogen-free (SPF) grades, purchased from the Shanghai Institute of Hypertension. All experimental procedures were performed according to the guidelines of the Animal Care Committee of the Animal Center at the Chinese Academy of Sciences in Shanghai, China. One adventitial fibroblasts sample was isolated from two rat thoracic aortas6, and each group consisted of three samples. Cells were grown in DMEM supplemented with 10% heat-inactivated FCS, 1% L-glutamine, 100 U/mL penicillin, and 100 μg/mL streptomycin. Cells were used in passage 4. The subconfluent cells were made quiescent by being incubated in DMEM supplemented with 0.1% BSA for 48 h before harvest.

Sample preparation

Cells were counted and harvested by centrifugation, washed twice with Tris-buffered sucrose (10 mmol/L Tris base, 250 mmol/L sucrose, pH 7.0), and dissolved in lysis buffer containing 7 mol/L urea, 2 mol/L thiourea, 4% CHAPS, 40 mmol/L DTT, 40 mmol/L Tris base, and 2% IPG buffer pH 3–10. After vortex incubation at room temperature for 1 h, samples were centrifuged at 40 000×g and 4 °C for 1 h. The supernatant was quantified using the Bradford assay and aliquoted. The protein samples were stored at −80 °C until analysis.

Two-dimensional electrophoresis and analysis

Soluble proteins were separated by 2-DE. Protein (200 μg for silver staining and 2 mg for Coomassie Brilliant Blue G-250 staining) was diluted in rehydration buffer containing 8 mol/L urea, 2% CHAPS, 20 mmol/L DTT, 0.5% IPG buffer pH 3−10 and 0.002% bromophenol blue and was applied to 24-cm IPG strips with a nonlinear pH range of 3–10 (GE Healthcare, Uppsala, Sweden). The first dimension was performed with the IPGphor system (GE Healthcare) according to the programmed settings: 30 V for 6 h, 60 V for 6 h, 200 V for 1 h, 500 V for 1 h, 1000 V for 1 h, 8000 V for 1 h at gradient type and 8000 V until reaching 55 kV·h. Then, the IPG strips were equilibrated for 15 min in a buffer containing 6 mol/L urea, 30% glycerol, 2% SDS and 0.02% bromophenol blue with 10 mg/mL DTT and then equilibrated for another 15 min in the same buffer but with 25 mg/mL iodoacetamide replacing DTT. The second-dimensional separations were performed on 12.5% SDS-polyacrylamide gels with the Ettan Dalt twelve (GE Healthcare) initially set at 5 W per gel for 30 min and then at 20 W per gel until the dye front reached the gel bottom. Silver staining and Coomassie Brilliant Blue G-250 staining were performed as previously described10, 11. The stained gels were scanned using ImageScanner II (GE Healthcare) and analyzed with ImageMaster 2D Platinum (GE Healthcare). The intensities of the spots were normalized based on the total volumes on the gel. Protein spots with significant changes (paired t-test, P<0.05) in a consistent direction (increase or decrease in three independent experiments and in cells from rats at four weeks of age) or with altered locations were excised for identification.

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) and database search

The protein spots were excised from 2-D gels stained with Coomassie Blue G-250 and digested as previously described12. Aliquots (0.5 μL) of the tryptic peptides were mixed with 1.5 μL of a matrix solution consisting of a saturated solution of alpha-cyano-4-hydroxycinnamic acid in 50% acetonitrile/0.1% TFA. The mixture (1 μL) was immediately placed onto a MALDI plate and dried at room temperature. The dried spots were analyzed in a Bruker-Daltonics AutoFlex TOF-TOF LIFT Mass Spectrometer (Bruker-Franzen, Germany) in reflex positive ion mode at an accelerating voltage of 20 kV and a reflex voltage of 23 kV. The spectra were internally calibrated using trypsin autolysis products. The peptide mass fingerprints (PMF) obtained were used to search through the SWISS-PROT and NCBInr databases using the Mascot search engine (http://www.matrixscience.co.uk) with a tolerance of 0.2 D and one missed cleavage site12.

Western blot

The protein lysates (30 μg protein per lane) were analyzed as previously described13. Annexin A1 was detected by anti-annexin A1 antibody (Santa Cruz, USA). β-actin was detected by mouse anti-β-actin mAb (Sigma-Aldrich, USA) to confirm equal loading.

Immunofluorescence staining

The expression of annexin A1 in the thoracic aortas of 16-week-old SHR and WKY rats was analyzed by immunofluorescence staining. Cryosections of the aortae (8-μm thick) were thawed and fixed in ice-cold acetone for 10 min. Nonspecific binding was blocked in 5% BSA for 1 h. Tissue sections were incubated with Annexin A1 antibodies (1:200, Santa Cruz Biotechnology). After being rinsed with PBS, tissue sections were incubated with secondary antibody conjugated to FITC (1:100). Then, sections were stained with DAPI (1:10 000) at room temperature for 10 min after washing with PBS. Fluorescent images were acquired using a Nikon Eclipse 80i microscope and analyzed using MetaMorph image-analysis software (n=3).

Statistical analysis

The values were expressed as means±SD. The paired t-test was used for statistical analysis between two groups. The significant level was set at P<0.05.

Results

Comparison of protein expression profiles between SHR-AFs and WKY-AFs

To explore the differences in protein expression between SHR-AFs and WKY-AFs, the proteins from SHR-AFs and WKY-AFs from 4-, 8-, 16-, and 24-week-old mice were separated by 2-DE. Gels using three different samples from the same group were performed simultaneously and analyzed by ImageMaster 2D Platinum Analysis Software. In total, 1228±132 spots were detected on the maps, and the overall protein expression profiles with pH 3−10 and molecular masses of 10 to 90 kDa were very similar within the three samples of the same group as analyzed by ImageMaster 2D Platinum, indicating high stability and reproducibility of the 2-DE in our test system. In comparison with the 2-DE maps of age-matched WKY-AFs, the number of altered spots, up-regulated spots, down-regulated spots and spots with changed locations for SHR-AFs were, respectively, as follows: 4-week-old rats, 49, 29, 19, and 1 spots; 8-week-old rats, 59, 34, 23, and 2 spots; 16-week-old rats, 54, 33, 20, and 1; and 24-week-old rats, 69, 42, 25, and 2. Thirteen protein spots with significant changes in volume (paired t-test, P<0.05) in a consistent direction (increased or decreased in all three samples per group and in four age groups) and one spot with an altered location were judged as differential spots and excised for identification as noted in Figures 1 and 2.

Figure 1
figure 1

Representative 2-DE maps of vascular adventitia fibroblasts from SHR and WKY rats and differentially expressed protein spots that were further identified by mass spectral analysis. Cell lysates (200 μg) were loaded onto IPG strips (24-cm, pH 3−10 non-linear), followed by the second dimension on a vertical continuous gel (12.5%), and visualized by silver staining. The horizontal dimension of the images represents the linear immobilized pH gradient for IEF. The positions of standard mass biomarkers for the second dimension are shown on the left sides of images. The identified proteins were labeled with arrows and the Arabic numeral represents the number of spots. n=3.

Figure 2
figure 2

Altered location of spot 13 in 2-DE maps of vascular adventitia fibroblasts from SHR and WKY rats.

Identification by MALDI-TOF-MS with peptide mass fingerprinting (PMF)

These 14 excised spots were identified by MALDI-TOF-MS analysis with PMF followed by database searching. The properties and changes of identified proteins with altered expression in SHR-AFs compared to that in age-matched WKY-AFs are presented in Table 1 and Figure 2. Among them, there were eight proteins with definite biological functions, two proteins with undefined function and four proteins derived from a genomic sequence. Eight proteins were separately involved in inflammation, energy metabolism, molecular chaperon, cell cycle and proliferation, cytoskeleton, and regulation of ion influx.

Table 1 Identified altered proteins in SHR-AFs compared to age-matched WKY-AFs.

Annexin A1 decreased in SHR-AFs

Annexin A1 (spot 4 in Table 1), a putative inflammation-related protein, presented consistent changes between SHR-AFs and WKY-AFs from 4-, 8-, 16-, and 24-week-old rats (Table 1), which was confirmed by Western blot analysis. Annexin A1 was down-regulated in SHR-AFs from 4-, 8-, and 16-week-old rats compared with expression in age-associated WKY-AFs (paired t-test, P<0.05), and Annexin A1 expression tended to be lower in SHR-AFs from 24-week-old rats compared with that in age-matched WKY-AFs, although significance was not achieved as observed in Figure 3. Moreover, the effect of age on Annexin A1 expression was different between the two strains. Annexin A1 expression was reduced with age in WKY-AFs, while in SHR-AFs, no obvious association of annexin A1 expression with age was exhibited.

Figure 3
figure 3

(A) Expression of annexin A1 in 2-DE maps. (B) Expression of annexin A1 in vascular adventitia fibroblasts from SHR and WKY rats. The top panel shows representative immunoblots of Annexin A1 expression. β-actin was assayed to verify equal loading of cell lysates. Bottom panel shows the quantification of the bands by densitometry. Results are shown as the density from three independent experiments as compared with that in WKY-AFs. Data are means±SD. n=3. bP<0.05 vs WKY-AFs; eP<0.05 vs corresponding annexin A1 expression at 4 weeks; hP<0.05 vs corresponding annexin A1 expression at 8 weeks.

To make further confirmation, we detected Annexin A1 expression in thoracic aortic sections from 16-week-old SHR and WKY rats. Immunofluorescence indicated that the total annexin A1 immunofluorescence intensity was 8.72±2.97 units in tissue sections of SHR rats compared with 46.89±8.75 units in tissue sections of WKY rats. In tissue sections, the annexin A1 signal was mainly detected in the adventitia (Figure 4).

Figure 4
figure 4

Expression of annexin A1 in thoracic aortae from 16-week-old SHR and WKY rats. Aortic tissue from 16-week-old SHR and WKY rats subjected to immunofluorescence staining to detect annexin A1 antigen. Annexin A1 was decreased in aortic adventitia from 16-week-old SHR rats. Scale bar: 50 μm; m indicates media, a indicates adventitia, P indicates perivascular adipose tissue. Total magnification: ×100.

Discussion

In this study, we identified 13 proteins with consistently altered expression in pre-hypertensive and hypertensive stage SHR-AFs with MALDI-TOF-MS. The higher relative weights and protein contents found in aortas from newborn SHR may reflect a remodeling of this organ14. In addition, an adventitial remodeling in SHR was demonstrated by the increased proliferation and migration in AFs from SHR at the cytological level. The appearance of aorta hypertrophy so early in the hypertensive process indicates an intrinsic abnormality in the aorta of SHR not caused by the pressure overload that we used as a basis to select proteins with changes in 4-, 8-, 16-, and 24-week-old SHR-AFs. Moreover, we also chose a spot for identification that divided into two spots in 8-week-old and 16-week-old SHR-AFs because this change suggests that the identified spot was a proteolytic degradation product or the result of other post-translational modifications.

Of special interest, the expression of annexin A1 (spot 4), a putative anti-inflammation factor, was significantly down-regulated in SHR-AFs as compared with expression in age-matched WKY-AFs at all ages in the present study. Annexin A1 is a member of the family of phospholipid and calcium-binding proteins and has been implicated in several cell functions, including inhibition of cell proliferation, anti-inflammatory effects, regulation of cell differentiation, and membrane trafficking. For cell proliferation, annexin A1 has been shown to inhibit OKT3-stimulated and mitogen-induced cellular proliferation of T cells15 and to be involved in mitogenic signal transduction by HGF16, glucocorticoids17, and the growth hormone receptor18. Furthermore, the active N-terminal peptide of annexin A1 has been reported to block EGF-induced cell proliferation19. In this paper, decreased expression of annexin A1 perhaps attenuates the negative regulation of cell proliferation and results in increased proliferation in SHR-AFs. Based on this finding, we sought to determine the mechanism by which annexin A1 modulates SHR-AF function. The antiproliferative mechanism of annexin A1 appears to involve modulation of the ERK signaling pathway. Annexin A1 has been shown to modulate ERK but not p38 or JNK activity in lipopolysaccharride-induced responses20 and regulate cell proliferation by disruption of cell morphology and inhibition of cyclin D1 expression through sustained activation of the ERK1/2 MAPK pathway21. Our previous studies showed that ERK1/2 was activated during phenotypic differentiation of AFs into MFs22 and migration induced by Ang II23. Moreover, annexin A1 is a substrate for protein kinase C (PKC) and protein tyrosine kinases and has multiple phosphorylation sites as well as calcium and phospholipid binding properties. Whether PKC alpha, another molecule involved in phenotypic differentiation of AFs into MFs24, attenuates annexin A1 activity and regulates SHR-AF proliferation through the ERK1/2 MAPK pathway is another area of interest.

Two other proteins involved in mitochondrial function, translation elongation factor Tu (EF-Tu) and mitochondrial ATP synthase, H+ transporting F1 complex, beta subunit (ATP5B), were identified. Expression of EF-Tu (spot 2) was decreased and that of ATP5B (spot 14) was increased in SHR-AFs as compared with the age-matched WKY-AFs. The coupling step in the biosynthesis of ATP in mitochondria is generally believed to involve an energy-requiring release of ATP that is bound to ATP5B. Higher consumption of energy due to increased proliferation and migration of SHR-AFs may require more ATP5B involvement in this process. In mitochondria, the major target of phosphorylation was EF-Tu25, 26. The phosphorylation of EF-Tu is increased in response to ischemia and in mitochondria from ischemic hearts25. Otherwise, EF-Tu content nearly disappears in pacing-induced heart failure, along with a number of other mitochondrial proteins27. The status of EF-Tu in hypertension or abnormal vasculature remains elusive. Further work will be necessary to understand the function of EF-Tu in AFs and the relationship between the content and phosphorylation of EF-Tu.

The expression of endoplasmic reticulum protein 29 (ERp29) (spot 8), a critical chaperone for protein maturation and secretion28, 29, 30, increased in SHR-AFs, which may indicate that secretory behavior in SHR vasculature is more active than in WKY vasculature. The culture components of supernatants derived from SHR-AFs and WKY-AFs is being investigated.

A protein involved in cell cycle and proliferation, proteasome subunit beta type 7 (spot 7), was identified as having increased expression in SHR-AFs. This result is similar to that of our previous study, which showed that proteasome subunit beta type 4 was increased in myofibroblasts with characteristic of higher proliferation and migration rate induced by Ang II and TGF-β131.

CaBP1 (spot 3), another protein with increased expression in SHR-AFs, has been shown to regulate TRPC5, voltage-gated Ca2+ channels and inositol 1,4,5-trisphosphate receptors (IP3Rs) in neurons and Xenopus oocytes. The role of CaBP1 in the cardiovascular system remains unknown. The expression of other proteins such as ARP1 actin-related protein 1 homolog A (spot 1) and tubulin beta 5 (spot 6) was up-regulated in SHR-AFs. Their roles in vascular remodeling in hypertension are still unknown. Among the four proteins derived from a genomic sequence, the altered location of spot 13 suggested that the identified spot was a proteolytic degradation product or the result of other post-translational modifications and worthy of deep mass spectral analysis.

In conclusion, the application of proteomic techniques revealed novel proteins involved in abnormalities of AFs from SHR, which provide new avenues for investigating the mechanisms responsible for the occurrence and development of hypertension and potential targets for altering vascular remodeling in hypertension.

Author contribution

Shu-jie GUO, Ping-jin GAO, Ding-liang ZHU designed the study; Shu-jie GUO, Tai-rong WANG, Jing CHEN, Ling-yun WU performed the research; Shu-jie GUO, Ping-jin GAO, Ding-liang ZHU contributed new reagents and analytic tools; Shu-jie GUO analyzed the data; Shu-jie GUO wrote the paper.