Abstract
Metabolic syndrome (MetS) and benign prostatic hyperplasia (BPH)/lower urinary tract symptoms (LUTS) are often associated. One of their common denominators is hypogonadism. However, testosterone supplementation is limited by concerns for potential prostatic side effects. The objective was to determine whether MetS-associated prostate alterations are prevented by testosterone supplementation. We used a previously described animal model of MetS, obtained by feeding male rabbits a high-fat diet (HFD) for 12 weeks. Subsets of HFD rabbits were treated with testosterone or with the farnesoid X receptor agonist INT-747. Rabbits fed a standard diet were used as controls. HFD-animals develop hypogonadism and all the MetS features: hyperglycemia, glucose intolerance, dyslipidemia, hypertension, and visceral obesity. In addition, HFD-animals show a prostate inflammation. Immunohistochemical analysis demonstrated that HFD-induced prostate fibrosis, hypoxia, and inflammation. The mRNA expression of several proinflammatory (IL8, IL6, IL1β, and TNFα), T lymphocyte (CD4, CD8, Tbet, Gata3, and ROR γt), macrophage (TLR2, TLR4, and STAMP2), neutrophil (lactoferrin), inflammation (COX2 and RAGE), and fibrosis/myofibroblast activation (TGFβ, SM22α, αSMA, RhoA, and ROCK1/ROCK2) markers was significantly increased in HFD prostate. Testosterone, as well as INT-747, treatment prevented some MetS features, although only testosterone normalized all the HFD-induced prostate alterations. Interestingly, the ratio between testosterone and estradiol plasma level retains a significant, negative, association with all the fibrosis and the majority of inflammatory markers analyzed. These data highlight that testosterone protects rabbit prostate from MetS-induced prostatic hypoxia, fibrosis, and inflammation, which can play a role toward the development/progression of BPH/LUTS.
Introduction
Lower urinary tract symptoms (LUTS), generally regarded as a hallmark of benign prostatic hyperplasia (BPH), result from static (prostate enlargement), dynamic (α-receptor-mediated muscle tension), and inflammatory (prostate inflammation) components (Nickel 1994, Fibbi et al. 2010, Moul & McVary 2010, Donnell 2011).
A growing body of evidence has documented a strong and independent association between BPH/LUTS and obesity/metabolic syndrome (MetS; Mongiu & McVary 2009, Moul & McVary 2010, Gorbachinsky et al. 2010, Parsons 2011). In epidemiological studies, LUTS was associated with several MetS features, including obesity (Rohrmann et al. 2004, Seim et al. 2005, Laven et al. 2008), hypertension and type 2 diabetes mellitus (Michel et al. 2000, 2004, Tomita et al. 2009), hyperglycemia and low high density lipoprotein (HDL) cholesterol (Martin et al. 2011), and high polyunsaturated fat energy intake (Litman et al. 2007). Interestingly, we have recently demonstrated a positive association between obesity and ultrasound or biochemical (seminal interleukin 8 (IL8)) features of prostate inflammation (Lotti et al. 2011).
Relationship between MetS and LUTS has been investigated in some animal models (Andersson et al. 2011), including a mouse model of type 2 diabetes mellitus/obesity (diabesity) in which prostate inflammation and bladder dysfunction were evident (Krajewska et al. 2008). MetS appears, therefore, related to the development of LUTS. Potential common etiological factors include hyperglycemia, insulin resistance, low-grade chronic inflammation (Moul & McVary 2010), and also hypogonadism (Pradidarcheep 2008). Recent data have in fact suggested that low testosterone in males might be considered an additional MetS component (Corona et al. 2009, Zitzmann 2009, Corona et al. 2011a,b, Traish et al. 2011). Although testosterone supplementation in MetS significantly improves metabolic parameters (fasting glucose, glucose tolerance, waist circumference, triglycerides, and HDL cholesterol; Corona et al. 2011a), concerns of potential prostatic side effects strongly limit a widespread clinical use. These concerns are based on the concept that androgens are essential for prostate growth, which potentially can worsen LUTS. However, some prospective (Kristal et al. 2008, Trifiro et al. 2010) and cross-sectional studies (Schatzl et al. 2000, Tan et al. 2003, Roberts et al. 2004, Miwa et al. 2008, St Sauver et al. 2011) have demonstrated an inverse association between serum testosterone and LUTS or BPH. Consistent with these observations, testosterone replacement therapy has been reported to relieve LUTS in hypogonadal men with both BPH (Holmäng et al. 1993, Saad et al. 2007, Kalinchenko et al. 2008, Karazindiyanoğlu & Çayan 2008, Saad et al. 2008, Amano et al. 2010, Shigehara et al. 2011) and MetS (Haider et al. 2009).
In this study, we use a previously described animal model of high-fat diet (HFD)-induced MetS in rabbit. MetS was characterized by hyperglycemia, glucose intolerance, hypercholesterolemia, hypertrygliceridemia, hypertension, increased visceral fat mass, and hypogonadotropic hypogonadism (Filippi et al. 2009, Vignozzi et al. 2011), We now report an additional feature of HFD-induced MetS: prostate inflammation. We also investigate the effect of dosing testosterone or INT-747, a farnesoid X receptor (FXR) agonist, because we previously demonstrated that these treatments could ameliorate/treat several MetS features (Filippi et al. 2009, Vignozzi et al. 2011). FXR is steroid nuclear receptor critically involved in the regulation of the hepato-biliary system, which also regulates lipid and glucose homeostasis, even in the HFD-induced MetS (Morelli et al. 2011). In previous studies, while testosterone supplementation also reverted MetS-associated hypogonadism (Filippi et al. 2009), INT-747 did not (Vignozzi et al. 2011).
Materials and Methods
HFD rabbit model
HFD-induced MetS rabbit model, as well as testosterone or INT-747 treatments, has been performed as described previously (Filippi et al. 2009, Vignozzi et al. 2011). Briefly, male New Zealand White rabbits (Charles River, Calco, Lecco, Italy), weighing about 3 kg (mean age 15 weeks), were individually caged under standard conditions in a temperature and humidity controlled room on a 12 h light:12 h darkness cycle. Water and food were unrestricted throughout the study. After 1 week of standard rabbit diet, animals were randomly numbered and assigned to different groups: control (n=22) or treatment group (n=44). The control group continued to receive a standard diet (Harlan-Global Diet 2030, produced by Mucedola s.r.l, Milan, Italy, constituted by water 12%, protein 16.5%, fiber 15.5%, vegetable fat 3.5%, and carbohydrate 44%), while the treatment group was fed a HFD (enriched by 0.5% animal-derived cholesterol and 4% peanut oil, Mucedola s.r.l), for 12 weeks (HFD rabbits). A first subset of HFD rabbits (n=13) was supplemented with a pharmacological dose of testosterone (30 mg/kg weekly i.m. for 12 weeks). A second subset of HFD rabbits (n=14) was treated with a FXR agonist, INT-747 (10 mg/kg body weight (bw), daily for 5 days a week for 12 weeks, by oral gavage). Any treatment (including diets and/or drug administration) was performed by a dedicated technician. Blood samples for glucose, total cholesterol, triglycerides, testosterone, 17β-estradiol (E2), and leptin analyses were obtained via marginal ear vein at time 0 (baseline) and at week 12 in all groups. The blood was immediately centrifuged at 1000 g for 20 min, and collected plasma was stored at −20 °C until assayed. Mean arterial blood pressure was measured by a polyethylene catheter inserted into a femoral artery at week 12, after pentobarbital (45 mg/kg) sedation as described previously (Filippi et al. 2009, Vignozzi et al. 2011). Shortly afterwards, the rabbits were killed by a lethal dose of pentobarbital. Leukocyte esterase and nitrites have been detected in rabbit urine by semi-quantitative urinary dipsticks (Combur-Test, Roche Diagnostics).
Collection of rabbit prostate
Rabbit prostate, seminal vesicles, testis, and visceral fat were obtained and harvested from the different experimental groups and appropriately stored for the subsequent analyses (Filippi et al. 2009, Vignozzi et al. 2011). In particular, immediately after removal, tissue samples were shock frozen in liquid nitrogen and stored at −80 °C until RNA preparation. For immunohistochemistry preparations, tissues were immediately fixed in Bouin's solution and embedded in paraffin. All the animal experiments were performed in accordance to D.L. 116/92 and approved by the Institutional Animal Care and Use Committee of the University of Florence.
Measurement of cholesterol, triglycerides, glycemia, testosterone, E2, and leptin in rabbits
Blood samples were obtained via marginal ear vein at time 0 (baseline) and at week 12 in all groups. Plasma cholesterol, triglycerides, glucose, and testosterone levels were measured after appropriate extraction when needed, as described previously (Filippi et al. 2009, Vignozzi et al. 2011). Briefly, plasma cholesterol, triglycerides, and glucose levels were measured by an Automated System (ADVIA 2004 Siemens Chemistry System; Siemens Science Medical Solution Diagnostic, Tarrytown, NY, USA). Plasma testosterone and E2 levels were measured by an automated chemiluminescence system (Immulite 2000 Siemens, Siemens Healthcare Diagnostics, Deerfield, IL, USA), after appropriate extraction. For extraction, samples were mixed with four volumes of diethyl ether for 15 min, centrifuged for 5 min at 400 g, and the aqueous phase frozen in dry ice. The organic phase was recovered, evaporated to dryness under a nitrogen stream, and reconstituted in the assay buffer. Leptin plasma level was measured by an ELISA according to the manufacturer's instructions (Uscn Life Science, Inc., Wuhan, China).
Oral glucose tolerance test in rabbits
Oral glucose tolerance test was performed in accordance with the published method (Filippi et al. 2009, Vignozzi et al. 2011). Briefly, after an overnight fasting a 50% glucose solution was orally administered to the rabbits, at a dose of 1.5 g/kg. Blood samples were collected 15, 30, and 120 min after glucose loading for blood glucose dosage. The incremental area under the curve was calculated by the Graphpad prism Software version 4.0 for Windows, as described previously (Filippi et al. 2009, Vignozzi et al. 2011).
Immunohistochemistry
Immunohistochemical studies were performed with slight modifications of previously described protocols (Penna et al. 2009). Briefly, prostate sections were incubated overnight at 4 °C or with the monoclonal mouse anti-CD45 (1:100 vol/vol, DakoCytomation, Copenhagen, Denmark), the anti-macrophage antibody RAM11 (Dako, Carpenteria, CA, USA; 1:80 vol/vol), or anti-lactoferrin (1:1000 vol/vol, Sigma) as primary antibodies. Sections were rinsed in PBS, incubated with biotinylated secondary antibody and then with streptavidin–biotin-peroxidase complex (Ultravision large volume detection system anti-polyvalent, Lab Vision, Fremont, CA, USA). Controls for antiserum specificity were performed as described previously (Filippi et al. 2009, Vignozzi et al. 2011). The reaction product was developed with the 3′,3′-diaminobenzidine tetrahydrochloride as chromogen (Sigma–Aldrich). The slides were evaluated and photographed using a Nikon Microphot-FXA microscope (Nikon, Tokyo, Japan).
Computer-assisted quantification of the staining of CD45 has been made on not hematoxylin and eosin counterstained images and after background subtraction using Adobe Photoshop 6.0 Software (Adobe Systems).
Hypoxia detection in rabbit prostate
Tissue oxygenation has been analyzed as described previously (Vignozzi et al. 2006, 2008, 2009, Morelli et al. 2010a). Briefly, 1 h before being killed, rabbits of each experimental group were intraperitoneally injected with the bioreductive drug pimonidazole hydrochloride (Hypoxyprobe-1, 60 mg/kg). Pimonidazole (hypoxyprobe) is a water soluble substituted 2-nitrominidazole that is rapidly distributed to all tissues in the body, but it only forms adducts with proteins in hypoxic cells, which are at an oxygen pressure equal to or lower than 10 mmHg. Hypoxic cells are thereafter easily detected by immunohistochemistry, using a monoclonal antibody (Hypoxyprobe-1Mab1) that recognizes hypoxyprobe protein adduct (Durand & Raleigh 1998, Bennewith et al. 2002); Pimonidazole as a probe for the in vivo detection of hypoxia has been validated previously (Arteel et al. 1995, Vignozzi et al. 2006, 2008, 2009, Bouchentouf et al. 2008, Via et al. 2008, Morelli et al. 2010a). Rabbit ventral prostate samples were rapidly removed and fixed in 4% neutral buffered formalin, dehydrated, and embedded in paraffin. Immunohistochemical studies were performed on deparaffinized and rehydrated sections, according to the manufacturer's instructions. Briefly, slides were exposed to hypoxyprobe-1Mab1 (diluted 1:50) for 40 min at room temperature, rinsed in PBS and 0.2% Brij 35 for seven times at 0 °C, incubated with a biotinylated secondary antibody, and finally were incubated with streptavidin–biotin-peroxidase complex (Lab Vision Corporation). The reaction product was developed with the 3′,3′-diaminobenzidine tetrahydrochloride as chromogen (Sigma–Aldrich) and photographed using a Nikon Microphot-FXA microscope (Nikon). Computer-assisted quantification of the staining has been made after background subtraction using Adobe Photoshop 6.0 Software (Adobe Systems). Some tissue sections were stained with hematoxylin and eosin or with Masson's trichrome (Bio-Optica, Milan, Italy) as described previously (Vignozzi et al. 2006). The images were imported into Adobe Photoshop 6.0 Software (Adobe Systems) and then split into their red, green, and blue staining components by selecting RGB color feature of Adobe Photoshop 6.0 Software. To measure the red (smooth muscle fibers) and blue (collagen fibers) staining components of the interductal stroma, the epithelial layer was omitted from the analysis by the computer-assisted manual delineation of regions of interest. Histograms of the individual components of the RGB images were then calculated and reported as red/blue ratio.
RNA extraction and quantitative RT-PCR analysis
Isolation of RNA from frozen rabbit tissues was performed by Trizol reagents according to the manufacturer's instructions (Invitrogen S.r.l). cDNA synthesis was carried out using the RT kit purchased from Applied Biosystems (Foster City, CA, USA), as described previously (Filippi et al. 2009, Vignozzi et al. 2011). Quantitative RT-PCR (qRT-PCR) was performed by SYBR Green Real-time PCR Master Mix (Applied Biosystems) with the following thermal cycler conditions: 40 cycles at 95 °C for 30 s and 60 °C for 1 min followed by dissociation curve analysis to verify the primer specificity. Specific primers were designed on rabbit sequences available at NCBI GenBank (http://www.ncbi.nlm.nih.gov) or Ensemble Genome (http://www.ensembl.org), or based on homology to the human sequence. The primer sequences used are reported in Table 1. Amplification and detection were performed with the ABI Prism 7900HT Fast Real-time PCR System (Applied Biosystems). The expression of 18S rRNA subunit, chosen as reference gene, was quantified with a predeveloped assay (Applied Biosystems) and used for normalization and relative quantitation of the target genes. The analysis of the results was based on the comparative cycle threshold method according to the manufacturer's instructions (Applied Biosystems), as described previously (Filippi et al. 2009, Vignozzi et al. 2011).
Primer sequences for quantitative RT-PCR in rabbit samples
Gene names | Primer sequences |
---|---|
TLR2 | F: 5′-CCGCGGGTTCCCCAGGTTG-3′ |
R: 5′-GGATCTGGAGCGCCCATCGC-3′ | |
TLR4 | F: 5′-GCGGGTGGAGCTGTATCGCC-3′ |
R: 5′-CTTGGGTTCAGCCGGGCAGG-3′ | |
CD4 | F: 5′-CAGGTCAAGATCCTGGGAAA-3′ |
R: 5′-CCCCCACTTCGCAGATATAA-3′ | |
CD8 | F: 5′-AGGGACTACACTTGGCATGG-3′ |
R: 5′-TGCAGAAGTAGACGCCAGTG-3′ | |
LACT | F: 5′-CCCTGACATCACCTGGAACT-3′ |
R: 5′-TCACCCCTCTCGTTACCAAC-3′ | |
STAMP2 | F: 5′-CGATGGAGGTCAAGGAACAT-3′ |
R: 5′-CCAGTTTGGACTGGACGAAT-3′ | |
RAGE | F: 5′-GCAGTCAGAGCTGATGGTGA-3′ |
R: 5′-GCTACTGCTCCACCTTCTGG-3′ | |
COX2 | F: 5′-AGTGTGCGATGTGCTCAAAC-3′ |
R: 5′-AAAAGCAGCTCTGGGTCAAA-3′ | |
IL8 | F: 5′-CTCTCTTGGCAACCTTCCTG-3′ |
R: 5′-TTGCACAGTGAGGTCCACTC-3′ | |
IL1β | F: 5′-CCACAGTGGCAATGAAAATG-3′ |
R: 5′-AGAAAGTTCTCAGGCCGTCA-3′ | |
TNFα | F: 5′-GTCTTCCTCTCTCACGCACC-3′ |
R: 5′-TGGGCTAGAGGCTTGTCACT-3′ | |
IL6 | F: 5′-GAACAGAAAGGAGGCACTGG-3′ |
R: 5′-CTCCTGAACTTGGCCTGAAG-3′ | |
TGFβ1 | F: 5′-CTTCCGCAAGGACCTGGG-3′ |
R: 5′-CGGGTTGTGCTGGTTGTAC-3′ | |
RhoA | F: 5′-CCCTCCTCATCGTCTTCAGT-3′ |
R: 5′-GTCGATGGAGAAGCACATGA-3′ | |
αSMA | F: 5′-ACTGGGACGACATGGAAAAG-3′ |
R: 5′-TACATGGCTGGGACATTGAA-3′ | |
SM22α | F: 5′-CAAGACCGACATGTTCCAGA-3′ |
R: 5′-CTATGTTGCTGCCCATCTGA-3′ | |
ROCK1 | F: 5′-CGGAAGTGAACTCGGATTGT-3′ |
R: 5′-TCCAAATGCACCTCTACCAA-3′ | |
ROCK2 | F: 5′-CTACGGACGGGAATGTGACT-3′ |
R: 5′-TGTTAAGAAGGCGCAGATGA-3′ | |
AR | F: 5′-CCGTAACTTGCATGTGGATG-3′ |
R: 5′-GCTGTACATCCGGGACTTGT-3′ | |
ERα | F: 5′-GCGTTCTACAGGCCAAGTTC-3′ |
R: 5′-TCAATTGTGCACTGGTTGGT-3′ | |
ERβ | F: 5′-TAGTGCGGAGACGGAGAAGT-3′ |
R: 5′-GGACAGCATCATGGAGGTCT-3′ | |
GPR30/GPER1 | F: 5′-TGCTCGTCTTCTTCATCTGC-3′ |
R: 5′-CGTCTTCTGCTCCACGTACA-3′ | |
FXR | F: 5′-CCCCAAGTTCAACCACAGAT-3′ |
R: 5′-CCAGATGCTCTGTCTCCACA-3′ | |
ROR γt | F: 5′-GGGCTTCATACCACCTTGAA-3′ |
R: 5′-GTGCTCTGGGCCTATCTCTG-3′ | |
GATA3 | F: 5′-AGGCAGGGAGTGTGTGAACT-3′ |
R: 5′-CGTCGTGGTCTGACAGTTTG-3′ | |
Tbet | F: 5′-CCTTCCAAGAGACGCAGTTC-3′ |
R: 5′-AGGAAGCTCGGGGTAGAAAC-3′ |
TLR2, toll-like receptor 2; CD4, T-cell surface glycoprotein cluster of differentiation 4; LACT, lactoferrin; STAMP2, six transmembrane protein of prostate 2; RAGE, receptor for advanced glycation endproducts; COX2, cyclooxygenase isoenzyme 2; IL8, interleukin 8; TNFα, tumor necrosis factor α; TGFβ1, transforming growth factor β; RhoA, Ras homolog gene family, member A; αSMA, α-smooth muscle actin; SM22α, transgelin; ROCK1, Rho-associated coiled coil-containing kinase type 1; AR, androgen receptor; ERα, estrogen receptor α; GPR30/GPER1, G protein-coupled receptor 30/G protein-coupled estrogen receptor 1; FXR, farnesoid X receptor; ROR γt, retinoic acid receptor-related orphan receptor γt; GATA3, GATA-binding protein 3; Tbet, T-box transcription factor 3.
Statistical analysis
Statistical analysis was performed with one-way ANOVA test followed by Tukey–Kramer post-hoc analysis, and P<0.05 was considered significant. Maximal inhibitory effect (Imax) and half-maximal response inhibiting concentration (IC50) values were calculated using the computer program ALLFIT (De Lean et al. 1978). The same program was used to statistically analyze differences in sigmoidal dose-response curves. Correlations were assessed by the Spearman's method and statistical analysis was performed on Statistical Package for the Social Sciences (SPSS; SPSS, Inc., Chicago, IL, USA) for Windows 15.0.
Results
Characterization of HFD-induced MetS features and histological prostate correlates
Biochemical and physical effects of feeding rabbits a HFD for 12 weeks are reported in Table 2. HFD induced a significant increase in mean arterial pressure, lipids, visceral fat, and glucose intolerance, as demonstrated by the area under the curve of the oral glucose tolerance test. Conversely, body weight was not affected (Table 2). Accordingly, in a preliminary investigation, leptin levels were not different in MetS (44.91±2.8, n=10) compared with control rabbit (44.79±2.7, n=8, P=0.93).
Metabolic and hormonal parameters in the rabbit model of metabolic syndrome. Results are reported as mean±s.e.m.
Control (n=22) | HFD (n=17) | HFD+ testosterone (n=13) | HFD+INT-747 (n=14) | |
---|---|---|---|---|
Total body weight (g) | ||||
Baseline | 3219.70±51.84 | 3250.93±54.65 | 3260.48±53.81 | 3378.61±52.10 |
Week 12 | 3763.00±38.27 | 3678.80±43.69 | 3807.00±60.36 | 3614.94±76.93 |
Blood glucose (g/l) | ||||
Baseline | 1.31±0.03 | 1.32±0.03 | 1.17±0.04 | 1.25±0.06 |
Week 12 | 1.43±0.04 | 1.96±0.08‡,¶ | 1.61±0.07‡,a | 1.41±0.07b |
Cholesterol (mg/dl) | ||||
Baseline | 38.14±2.62 | 45.89±2.36 | 45.35±2.39 | 36.78±1.96 |
Week 12 | 44.95±3.74 | 1331.85±59.27‡,¶ | 1251.70±49.37‡,¶ | 1242.06±91.47‡,¶ |
Triglycerides (mg/dl) | ||||
Baseline | 86.43±4.95 | 88.90±4.39 | 94.62±7.32 | 76.83±5.67 |
Week 12 | 114.20±7.41 | 302.01±31.24‡,¶ | 322.64±27.45‡,¶ | 231.22±36.75†,∥ |
Testosterone (nmol/l) | ||||
Baseline | 7.00±1.66 | 9.12±2.07 | 4.17±0.66 | 9.83±3.36 |
Week 12 | 6.34±0.84 | 1.58±0.32‡,¶ | 15.38±2.86‡,¶,c | 1.19±0.33†,¶ |
OGTT (AUC; week 12) | 168.91±6.05 | 233.48±8.99¶ | 191.50±6.24b | 194.32±9.75a |
MAP (mmHg; week 12) | 96.12±2.71 | 135.46±3.72¶ | 111.30±1.80†,c | 129.16±4.35¶ |
Seminal vesicles weight (mg; week 12) | 803.24±38.61 | 496.76±29.68¶ | 1375.24±98.35‡,c | 595.00±57.01 |
Testis weight (g; week 12) | 3.67±0.06 | 2.99±0.07¶ | 1.65±0.06¶,c | 2.41±0.13¶,b |
Prostate weight (g; week 12) | 0.57±0.07 | 0.25±0.02§ | 0.93±0.06∥,c | 0.28±0.04a |
Visceral adipose tissue weight (g; week 12; Percentage of total body weight, %) | 34.58±1.83 (0.84±0.04) | 41.94±1.72§ (1.12±0.04)¶ | 4.19±0.78¶,c (0.10±0.02)¶,c | 15.23±2.05¶,c (0.41±0.05)¶,c |
AUC, incremental area under the curve of glucose blood level during oral glucose tolerance test (OGTT); MAP, mean arterial pressure. †P<0.01, and ‡P<0.001 vs baseline. §P<0.05, ∥P<0.01, and ¶P<0.001 vs control week 12. aP<0.05, bP<0.01, and cP<0.001 vs HFD week 12.
Figure 1 (CD45 staining) and Fig. 2 (hematoxylin–eosin) show the effect of HFD-associated MetS on prostate histology. CD45-round positive cells were extensively present in both interductal stroma and intertwined within the epithelial glands. Numerous CD45-round positive cells were also present within the glandular lumen often associated with corpora amylacea (see below). Computer-assisted image analysis indicated a highly positive increase in CD45 staining in MetS rabbits (P<0.0001).
Overt hypogonadism was induced by HFD-associated MetS, and characterized by low testosterone along with prostate, seminal vesicle, and testis hypotrophy (see Table 2).
Effect of HFD and hormonal supplementation on MetS and prostate histological features
In HFD rabbits, testosterone supplementation not only restored testosterone plasma levels and prostate and seminal vesicles weight, but also normalized fasting glucose, glucose tolerance, and dramatically decreased visceral fat (Table 2). HFD-induced dyslipidemia was not affected by testosterone treatment, while mean arterial pressure was reduced (Table 2). Similarly, dosing INT-747 significantly ameliorated several MetS features (see Table 2). No leukocyte esterase and nitrites were detected in urine, suggesting no urinary infections (not shown).
Hematoxylin–eosin staining of prostate from HFD confirms a diffuse inflammatory cell infiltration, localized in the interductal stroma, and glandular epithelial cells with the presence of corpora amylacea (CA), within the acinar lumen (Fig. 2b and c). In contrast, prostate from both HFD+ testosterone (Fig. 2d) and controls (Fig. 2a) showed no alterations. INT-747 did not prevent these HFD-induced abnormalities (Fig. 2e).
To better study inflammatory prostate infiltrates, we immunostained for the neutrophil marker lactoferrin and the macrophage marker RAM11 (Fig. 3). CA stained very strongly for lactoferrin, showing an unstained ring structure, as expected (Sfanos et al. 2009). Prostate from control and HFD+ testosterone showed scanty positivity for lactoferrin (Fig. 3, upper panels). Anti-macrophage specific antibody RAM11 revealed a predominant staining within the prostatic interductal stroma of the HFD and HFD+INT-747 groups. In the HFD+ testosterone, a reduced macrophage infiltration was observed (Fig. 3, lower panels).
Figure 4a–d shows Masson's trichrome staining, to evaluate fibrosis. Histomorphometric analysis (Fig. 4e) indicated that the muscle/fiber ratio was reduced by HFD (P<0.001 vs control) and was completely rescued by testosterone (1.4±0.7, P<0.001 vs HFD, and P=0.06 vs control). Conversely, HFD+INT-747 did not affect fibrosis.
Prostate oxygenation was also examined (Fig. 5). In control rabbits, only scanty cells reacted with the hypoxyprobe (Fig. 5a). HFD dramatically increased immunopositivity in the epithelium and in fibromuscular stroma (Fig. 5b). Testosterone, but not INT-747, supplementation almost completely prevented hypoxygenation (Fig. 5c and d). Image analysis is in Fig. 5e.
mRNA expression of inflammatory and fibrosis/myofibroblast markers in the prostate
Using qRT-PCR, we observed a marked upregulation of inflammatory markers in prostate from HFD (Fig. 6). HFD induced an increase of testosterone lymphocyte (CD4 and CD8), neutrophil (lactoferrin), antigen presenting cells, leukocytes, regulatory testosterone lymphocyte (toll-like receptor 2 (TLR2), TLR4, six transmembrane protein of prostate 2 (STAMP2)), and inflammation (cyclooxygenase-2, receptor for advanced glycation endproducts (RAGE)) markers as well as IL8, IL1β, IL6, and tumor necrosis factor α (TNFα; Fig. 6). To characterize CD4+T lymphocyte subsets, expression of specific transcription factors namely T-box transcription factor 3 (Tbet), retinoic acid receptor-related orphan receptor γt (ROR γt) and GATA-binding protein 3 (GATA3; markers for T helper type 1 (Th1), Th17, and Th2 respectively). In control rabbits, a constitutive high expression of GATA3 and ROR γt was detected, whilst Tbet was absent. HFD increased GATA3 and ROR γt and induced Tbet (Fig. 7). Testosterone, but not INT-747, treatment prevented all these changes (Figs 6 and 7).
As shown in Fig. 8, HFD upregulated the expression of fibrosis and myofibroblast activation markers, including transforming growth factor β (TGFβ1), α-smooth muscle actin (αSMA), Ras homolog gene family, member A (RhoA), Rho-associated coiled coil-containing kinase type 1 (ROCK1), and type 2 (ROCK2). This induction was prevented by testosterone, but not by INT-747, treatment (Fig. 8).
Sex steroid receptors and FXR expression
Figure 9a shows the mRNA expression of sex steroid receptors and FXR in rabbit prostate. Androgen receptor (AR) showed the highest, and FXR the lowest expression. HFD increased mRNA expression of AR, estrogen receptor α (ERα), ERβ, and GPR30 (Fig. 9b–f). AR, ERα, and GPR30 induction was completely counteracted by testosterone, but not by INT-747, treatment. In contrast, FXR gene expression was not affected by any treatment (Fig. 9c).
Sex steroid plasma levels and their association with fibrosis/myofibroblast and inflammation markers
Figure 10 shows E2 (Fig. 10a) along with the testosterone (see Table 2)/E2 ratio (Fig. 10b) as derived from immunoassays, after diethyl ether extraction. MetS was associated with a fall in testosterone and a rise in E2, which were restored by testosterone dosing. INT-747 normalized estrogen, but not androgen level (see Fig. 10a, Table 2). Accordingly, testosterone/E2 ratio was normalized but testosterone but not INT-747 treatment (Fig. 10b). Visceral adiposity was negatively associated with plasma levels of testosterone (r=−0.317, n=119, P<0.0001, not shown), testosterone/E2 ratio (r=−0.277, n=116, P<0.01, see also Fig. 10c), and positively with E2 (0.256, n=116, P<0.01, not shown). Testosterone/E2 ratio was negatively associated with all the aforementioned markers of fibrosis (see Fig. 10d–i) and several of inflammation (Table 3).
Association between log T/log E ratio and gene expression of inflammatory markers
r | n | P | |
---|---|---|---|
TLR2 | −0.47 | 47 | 0.001* |
TLR4 | −0.52 | 48 | 0.000* |
CD4 | −0.56 | 42 | 0.000* |
CD8 | −0.63 | 42 | 0.000* |
LACTF | −0.53 | 42 | 0.000* |
STAMP2 | −0.32 | 42 | 0.038* |
RAGE | −0.71 | 42 | 0.000* |
COX2 | −0.48 | 48 | 0.001* |
IL8 | −0.34 | 47 | 0.018* |
IL1β | −0.36 | 47 | 0.012* |
TNFα | −0.26 | 46 | 0.079 |
IL6 | −0.41 | 48 | 0.004* |
T-bet | −0.52 | 38 | 0.001* |
GATA3 | −0.42 | 38 | 0.009* |
ROR γt | −0.17 | 38 | 0.317 |
Correlations (r) and level of significance (P) are derived from univariate analysis. n indicates the number of samples. Asterisk indicates statistical significance. See legend to Table 1 for gene abbreviations.
Discussion
This study demonstrates that HFD-induced MetS is associated with hypogonadism and a prostatitis-like syndrome, characterized by prostatic inflammation, hypoxia, and fibrosis. All these features are markedly counteracted by testosterone supplementation. Hence, testosterone prevents (and not induces) prostatic diseases.
Recently, we have established a non-genomic model of MetS, by exposing rabbits to an HFD for 12 weeks. HFD induces hyperglycemia, glucose intolerance, hypercholesterolemia, hypertriglyceridemia, hypertension, and increased visceral fat mass along with hypogonadotropic hypogonadism (Filippi et al. 2009, Vignozzi et al. 2011). Hence, HFD in rabbits recapitulates the clinical phenotype of human male MetS. In this study, we report an additional novel feature of HFD-induced MetS in rabbits: a prostatitis-like inflammation.
The inflammation was characterized by infiltration of inflammatory cells and formation of corpora amylacea. Corpora amylacea are protein aggregates of lactoferrin (Sfanos et al. 2009), delivered by neutrophils following acute prostate inflammation (Legrand et al. 2005, Sfanos et al. 2009). As expected (De Marzo et al. 2007, Sfanos et al. 2009, Yanamandra et al. 2009), we have observed corpora amylacea adjacent to infiltrating inflammatory cells. Gene expression of macrophage, neutrophil, and CD4+ and CD8+T lymphocyte markers were increased by HFD. The increased expression of TLR2, TLR4 mRNA – widely distributed not only in immune but also in non-professional antigen presenting cells, such as stromal prostatic cells (Fibbi et al. 2010) – suggests the activation of both innate and specific immune responses. Recent studies have shown that TLR2, TLR4 can play an important role in initiating a proinflammatory cascade, even in clinical settings in which microbial ligands are not present (Lorne et al. 2010). Indeed, in our model of MetS-associated prostate inflammation, no nitrites and leukocyte esterase were detected in the urine.
The STAMP2 and RAGE mRNAs – abundantly expressed in macrophages (Sims et al. 2010, Wang et al. 2010) and upregulated by cytokines (IL1β, IL6, TNFα) and chemokines (IL8) – are also overexpressed in HFD prostate.
CD4+ and CD8+T lymphocytes are also present in the prostatic infiltrates of HFD. On the basis of the cytokine produced and on the functions exhibited, CD4+T helper cells can be distinguished into three distinct effector subpopulations: Th1, Th2, and Th17, based on stable expression of specific transcription factors Tbet, ROR γt, and GATA3 respectively (Zhu et al. 2010). In the prostate from control, we detected a constitutive high expression of GATA3 and ROR γt, whilst Tbet was absent. HFD was associated with an increase in both Th2- and Th17-transcription factors and to a peculiar induction of Tbet expression. Expansion of Th1 and Th17 effector cells has been found associated with BPH development (Fibbi et al. 2010).
Collectively, our data suggest that both acute and chronic inflammation are present in prostate samples from HFD-treated rabbits.
Beside inflammation, severe fibrosis – with myofibroblast activation – and hypoxia were peculiar features of HFD prostate. Prostate ischemia, along with inflammation and stromal reorganization – characterized by fibroblast trans-differentiation to myofibroblasts – has recently been recognized as a key pathogenetic factors in the development of both experimental and clinical LUTS (Andersson et al. 2011). In different tissues (Kardassis et al. 2009), including prostate (Fibbi et al. 2010), an interplay of TGFβ and RhoA/ROCK signaling have been recognized at the crossroads of inflammatory response and fibrosis. Consistent with this view, expression of TGFβ and RhoA/ROCK is upregulated in HFD prostate.
The most striking feature of our study is that testosterone supplementation normalizes all the aforementioned HFD-induced prostatic alterations, including inflammation, hypoxia, and fibrosis. An anti-inflammatory effect of testosterone in castration-induced prostate inflammation was previously reported (Robinette 1988, Tangbanluekal & Robinette 1993, Quintar et al. 2006, Yatkin et al. 2009). Androgens therefore act as endogenous inhibitors of immune responses, even in the prostate, as already reported for other autoimmune processes (Ansar Ahmed et al. 1986, Fox 1992, Harbuz et al. 1995, Fijak et al. 2011). Although our data showing that testosterone supplementation reduces the expression of pro-inflammatory cytokines are consistent with previous studies (Bebo 1999, Liva & Voskhul 2001, Fijak et al. 2011), the precise mechanisms of testosterone-mediated immunomodulation are still unknown.
Testosterone supplementation – in parallel with its beneficial effects on the prostate – ameliorates also several MetS features. Hence, its beneficial effect on prostate could be mediated by the favoring effect on some MetS component. However, experiments with INT-747 deny this hypothesis. INT-747 is a FXR agonist that in this animal model counteracts, as well as testosterone, several MetS features (Vignozzi et al. 2011). However, INT-747 dosing, at variance with testosterone, did not ameliorate prostate inflammation, fibrosis, and hypoxia. These differential effects of the two hormones on prostate can be explained by the prostatic expression of their cognate receptors: high for AR and low for FXR. However, testosterone ameliorates also HFD-induced hypertension, whereas INT-747 does not. Hence, the positive effect of testosterone on prostate gland could be mediated by a reduction in mean arterial pressure.
As described in humans (Corona et al. 2011a), MetS in rabbit was associated with a decline in testosterone and a rise in estrogen levels, which was normalized by testosterone, but not INT-747, dosing. As expected (Corona et al. 2009, Zitzmann 2009, Corona et al. 2011a,b, Traish et al. 2011), sex steroid modifications were tightly associated with visceral fat accumulation. The ratio between testosterone and E2 retains a significant, negative, association with all the fibrosis, and the majority of inflammatory markers analyzed. Although association does not mean causality, it is possible to speculate that a local, prostatic, decline in testosterone, and/or a rise in estrogen might be responsible for prostatic derangements observed in Mets. Further studies in isolated cells are necessary to clarify this point and to identify the role of androgen and/or estrogen in MetS-associated prostate inflammation.
In conclusion, our data suggest that testosterone supplementation could have a beneficial effect on prostate health, counteracting MetS-associated prostatic alterations such as inflammation, hypoxia, and fibrosis, key components in the development and progression of BPH/LUTS. Our findings clarify pathogenetic links between MetS and prostate inflammation, and offer new perspectives for prevention and intervention in BPH/LUTS.
Declaration of interest
L V, A M, E S, P C, S F, I C, E M, M G, S S, M C, M-P P, G B V have nothing to declare. M M is a scientific consultant for Bayer Pharma AG, Germany, Eli-Lilly Indianapolis, Indiana; Intercept Pharmaceuticals Italia Perugia, Italy; F S is an employee of Bayer Pharma AG, Berlin, Germany. L A is an employee of Intercept Pharmaceuticals Italia Perugia, Italy.
Funding
This study was supported by PRIN (Programmi di ricerca di Rilevante Interesse Nazionale) funds by the Italian Minister of University, Research and Instruction (prot number: 2009WLNXNT_002), by FIRB (Fondo per gli investimenti alla ricerca di base) funds by the Italian Minister of University, Research and Instruction (prot number: 2010RBFR10VJ56_002), and by Under40-Young Investigators funds from Italian Minister of Health (grant no. GR2008-1137632).
Acknowledgements
The authors thank Dr Gianni Rizzo for technical support to the study.
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