Abstract
Introduction
Chlamydia trachomatis (Ct), is the leading cause of sexually transmitted infections worldwide. Host transcriptomic- or proteomic profiling studies have identified key molecules involved in establishment of Ct infection or the generation of anti Ct-immunity. However, the contribution of the host metabolome is not known.
Objectives
The objective of this study was to determine the contribution of host metabolites in genital Ct infection.
Methods
We used high-performance liquid chromatography-mass spectrometry, and mapped lipid profiles in genital swabs obtained from female guinea pigs at days 3, 9, 15, 30 and 65 post Ct serovar D intravaginal infection.
Results
Across all time points assessed, 13 distinct lipid species including choline, ethanolamine and glycerol were detected. Amongst these metabolites, phosphatidylcholine (PC) was the predominant phospholipid detected from animals actively shedding bacteria i.e., at 3, 9, and 15 days post infection. However, at days 30 and 65 when the animals had cleared the infection, PC was observed to be decreased compared to previous time points. Mass spectrometry analyses of PC produced in guinea pigs (in vivo) and 104C1 guinea pig cell line (in vitro) revealed distinct PC species following Ct D infection. Amongst these, PC 16:0/18:1 was significantly upregulated following Ct D infection (p < 0.05, >twofold change) in vivo and in vitro infection models investigated in this report. Exogenous addition of PC 16:0/18:1 resulted in significant increase in Ct D in Hela 229 cells.
Conclusion
This study demonstrates a role for host metabolite, PC 16:0/18:1 in regulating genital Ct infection in vivo and in vitro.
Keywords: Guinea pig, Chlamydia trachomatis serovar D, Intravaginal infection, Lipids, Phosphatidylcholine
1 Introduction
Chlamydia trachomatis (Ct) is the leading cause of bacterial sexually transmitted infections worldwide and the most commonly reported notifiable disease in the U.S. (Adekoya et al. 2015; Torrone et al. 2014). Untreated genital Ct infection may lead to reproductive sequelae including cervicitis, pelvic inflammatory disease (PID), and infertility in women (Hafner 2015; Mascellino et al. 2011). Direct health care costs associated with Ct infection is estimated to be >$500 million annually (Owusu-Edusei et al. 2013, 2015), and with significant increasing annual incidence rates, intervention strategies are required (Gottlieb et al. 2014; Huston et al. 2012; Ozolins et al. 2013).
To improve approaches for efficient intervention and cure (Lyons et al. 2009; Hafner et al. 2014; Lal et al. 2013), a better understanding of chlamydial pathogenesis is required (Deruaz and Luster 2015; Vasilevsky et al. 2014). To this end, new insight(s) on pathogen-host interaction have been obtained from recent ‘global-profiling’ of Chlamydia- and host-specific factors (Brotman et al. 2014; Brunham and Rappuoli 2013). Transcriptome-wide or sequencing approaches have revealed the role for specific immune genes and associated pathways following infection with Ct-plasmid-sufficient and -deficient strains (Porcella et al. 2015; Carlson et al. 2008; Ferreira et al. 2013; Qu et al. 2015). Similarly, regulatory genetic species, namely microRNAs of bacterial and host origin have revealed the role(s) in growth and cellular function following infection (Derrick et al. 2013; Furuse et al. 2014; Gupta et al. 2015; Yeruva et al. 2014; Igietseme et al. 2013). Proteomic studies have identified immunodominant, T- and B cell chlamydial antigens involved in primary infection and vaccination (Cruz-Fisher et al. 2011; Wang et al. 2010; Karunakaran et al. 2015; Picard et al. 2012). Additionally, quantitative and semi-quantitative proteomic studies in human and murine cell lines have identified key ‘host-specific signatures’ associated with stress, inflammation, and pathogenesis (Kokes et al. 2015; Saka et al. 2015). In this regard, reports on the lipid droplet proteome in Ct L2 infected murine embryonic fibroblast cells (Saka et al. 2015), and the chlamydial inclusion interactome (Mirrashidi et al. 2015), provide new information on factors involved in chlamydial infectivity.
Despite these ‘omics’- based studies, there is minimal information on host-metabolite regulation in genital Ct infection. Using a general metabolomics approach, Muller et al., have reported a molecular cartograph of C. pneumoniae infected HEp2 cells, and supporting the role of previously non-annoted metabolites as biomarkers for infection (Muller et al. 2013). Nutrient requirements, maintenance of respiratory activity and metabolism of d-glucose in elementary bodies (EB) of the amoeba symbiont, Protochlamydia amoebophila has been demonstrated using metabolomics approaches (Sixt et al. 2013). Using a high-performance liquid chromatography–mass spectrometric method (HPLC–MS/MS), we examined the genital lipidome profile of Ct serovar D infected female Dunkin Hartley guinea pigs. We detected 13 lipids including choline, ethanolamine and glycerol to be most prevalent in swabs collected from infected guinea pigs. phosphatidylcholine (PC), and the precursor phosphotidyl-ethanolamine (PE) were most prevalent lipids (at 3, 9 and 15 days post infection) which were reduced 30 and 65 days post infection. We observed PC16:0/18:1 fatty acid following Ct D infection (p < 0.05, > twofold change) to be a common PC species regulated in guinea pigs and guinea pig cell line, 104C1. Consistent with our in vivo data, exogenous addition of PC 16:0/18:1 to Hela 229 and 104C1 cells exhibited increased bacterial infectivity suggesting a role for these host metabolites in Ct D genital infection.
2 Materials and methods
2.1 Bacteria
Chlamydial stocks were prepared as previously described (Li et al. 2013). Ct D EB (infectious form) were harvested from infected HeLa cells and stored at −80 °C in sucrose-phosphate-glutamine (SPG) buffer (pH = 7.4). Ct D preparations were titered and diluted appropriately for intra-vaginal (i.vag) infection.
2.2 Guinea pigs
Dunkin Hartley strain guinea pigs (350–450 g) were purchased from Charles River Laboratories (Massachusetts, USA) and housed in an AAALAC-accredited vivarium. Food and water were supplied ad libitum and all experimental studies were carried out under the aegis of the Guide for the Care and Use of Laboratory Animals of the National Institutes of Health. Protocol (IS0146) was approved by the Institutional Animal Care and Use Committee (IACUC) of the University of Texas at San Antonio.
2.3 Infection in guinea pigs
For sustained Ct D infection in guinea pigs, all animals received a subcutaneous injection of 5 mg β-estradiol (Sigma) in 100 µl sesame oil (Sigma) on days −10 and −3 prior to infection as described by de Jonge et al. (de Jonge et al. 2011). All guinea pigs were anesthetized with 3 % isoflurane before immunization and challenge procedures. Following infection with Ct D, vaginal swabs were collected at 4-day interval for 36 days from all guinea pigs and plated onto HeLa cell monolayers to determine the chlamydial burden as previously described (Li et al. 2008). Briefly, Ct D inclusion forming units (IFUs) were detected at 48 h using an anti-Chlamydia genus specific rabbit monoclonal primary antibody, and goat anti-rabbit IgG secondary antibody conjugated to FITC plus Hoescht nuclear stain.
2.4 Genital tract pathology
Genital tract tissues were harvested on day 65 post-infection, fixed in 10 % formalin, embedded in paraffin, sectioned, and stained with hematoxylin-eosin (H&E). Histological images were obtained at ×200 or ×400 magnifications using an Olympus AX80 light microscope (Olympus, Center Valley, PA) and evaluated in a blind fashion for pathological damage (Wali et al. 2014). The microscopic findings were either graded as follows: none/minimal (0), slight (1), moderate (2), or severe (3) histological alteration. Histological scores were obtained by examination of five consecutive sections (2 mm) of cervix, oviduct, and uterus from every animal. Scores assigned to individual guinea pigs were used to calculate the pathology score for each group of animals and presented as mean ± standard deviation.
2.5 Lipidome analyses
2.5.1 Sample collection
In vivo Following infection with Ct D, vaginal swabs using applicators (Peel Pouch Dryswab™ ENT, MWE, Wiltshire, England) were collected at days 3, 9, 15, 30 and 65 post infection from guinea pigs. Swabs were collected from mock infected guinea pigs at each time point to serve as controls. All samples were snap frozen in dry ice and stored at −80 °C till further processing.
In vitro 104C1 guinea pig fetal cell line, kind gift from Dr. Roger Rank (Arkansas Children’s Hospital Research Institute, Little Rock, AR), were cultured in 24 well plates at cell densities of 5 × 105 cells/well in D-10, DMEM supplemented with 10 % FBS (Gibco). 104C1 cells were infected in triplicate with Ct D at multiplicity of infection (0.05) and at 48 h post infection, removed using cell scrappers, washed twice with phosphate buffered saline (PBS) and stored at ×80 °C until used.
2.5.2 Sample processing
Lipids were extracted from swabs and cells as previously described (Gao et al. 2012). Briefly, five volumes cold (−20 °C) chloroform/methanol (2:1, v/v) was added per sample volume. Following thorough mixing (vortexing twice for 10 s), the extraction mixture was allowed to stand on ice for 10 min. Following centrifugation at ~ 13,800×g for 10 min, the chloroform layer was removed by pipetting and dried in vacuo. Prior to LC–MS analysis, the lipid extracts were reconstituted in 200 µl of isopropanol containing 10 mM ammonium acetate.
2.5.3 High-performance liquid chromatography–mass spectrometry and data processing
HPLC–MS/MS analyses were conducted on a Thermo Fisher Q Exactive fitted with a PicoChip nanospray source (New Objective). HPLC conditions were: column, Pico-Chip (Waters Atlantis dC18; 150 µm × 105 mm; 3 µm particle); mobile phase A, acetonitrile/water (40:60) containing 10 mM ammonium acetate; mobile phase B, ace-tonitrile/isopropanol (10:90) containing 10 mM ammonium acetate; gradient, 10 % B for 7 min (sample loading), 10–99 % B over 33 min, 99 % B for 15 min; flow rate, 1 µl/min. Data-dependent analyses were conducted using one full MS scan (70,000 resolution, m/z 300) followed by six tandem-MS scans. SIEVE (Thermo Fisher) was used to process the raw data files. Peak alignment and integration was performed and the relative abundance was generated for each lipid among the different experimental groups. Lipid species were identified using LipidSearch (Thermo Fisher) and by searching the following databases: METLIN (http://metlin.scripps.edu/index.php) and LIPID MAPS (http://www.lipidmaps.org/data/structure/) using a 5-ppm mass tolerance. The putative lipid identifications were manually verified through examination of the tandem mass spectra and in comparison with the retention times from commercially available standards (Avanti Polar Lipids). Total metabolite abundance was used for normalization of samples using Progenesis CoMet software (Durham, NC).
In order to determine the most abundantly detected species of lipids, we compared the relative abundance of each detected lipid in swab samples obtained from Ct infected and uninfected guinea pigs. Lipids found to be twofold or greater in the ratio of Ct D infected compared to mock infected animals (Ct D/mock infected) at each time point (days 3, 9, 15, 30 and 65) were included in the study. The pie diagram profile (Fig. 2) for each time point was prepared by obtaining the percentage of each lipid. For example, PC percentage at day 3 was calculated as = (number of PC found to be > twofold at day 3/total number of > twofold lipids detected at day 3) × 100.
2.6 PC 16:0/18:1 and Ct D Infection
Phospholipid, 1,2-distearoyl-sn-glycero-3-phosphocholine (DSPC), 1,2-dioleoyl-sn-glycero-3-phosphoethanolamine-N-(carboxyfluorescein) (ammonium salt), L-α-phosphotidylglycerol sodium salt (FITC-PC) and PC 16:0/18:1 was commercially obtained (Avanti Polar Lipids, Inc., Alabaster, Al). Cholesterol was purchased from Calbiochem (San Diego, CA, USA). Liposome formulations were prepared by lipid film hydration and sonication methods as described previously (Mfuh et al. 2011; Li et al. 2012a, b). Liposome encapsulated PC 16:0/18:1 or liposomes alone were introduced into Hela and 104C1 cells in triplicate at a concentration of 25 µM/well. Following centrifugation at ~1000×g for 60 min at 25 °C, cells were washed with D-10 and infected with Ct D as described above.
2.7 Statistical analyses
The number of replicates for the in vivo and in vitro studies were 2 and 3 respectively. Student’s t test was used for comparison between Ct D (n = 5) and mock infected (n = 3) groups. Differences were considered statistically significant if p values were <0.05 and obtained p values are noted in figures. All statistical analyses were conducted using the GraphPad Prism 5 software package (La Jolla, CA).
3 Results
3.1 Chlamydia trachomatis serovar D leads to distinct profiles of lipids following infection
Chlamydia caviae is the naturally infecting strain in guinea pigs and has been used by several laboratories to study chlamydial infection (Rank et al. 2003; Wali et al. 2014; Neuendorf et al. 2015). However, given that Ct D and Ct E are strains infecting humans, the translational value of the guinea pig model has further increased by the report of de Jonge et al. on establishment of Ct D and Ct E infection in guinea pigs (de Jonge et al. 2011). Using a similar model system, we observed guinea pigs (n = 5) exhibited increased levels of Ct D shedding initially from days 4–8 (85,006 ± 46,401 IFU–58,162 ± 15,106 IFU), progressively decreasing (up to day 28: 3693 ± 2485 IFU) with complete clearance of infection (no detectable bacterial shedding) after day 28 (Fig. 1a). Ct infection resulted in tubal dilatation and upper genital tract pathology in infected animals. Specifically, genital tissue sections at day 65 post challenge exhibited moderate to severe congestion, hemorrhage, and edema accompanied with severe infiltration of inflammatory cells (lymphocytes and neutrophils) within the oviducts (Fig. 1b). In order to determine lipid signatures associated with Ct infectivity, genital swabs were collected at five different intervals representative of “phases” of guinea pig genital Ct D infection i.e. day 3 ‘early’ while days 9 and 15 were representative of ‘intermediate’ post Ct D infection. At days 30 and 65, all animals had cleared the infection (Fig. 1a, late phase of infection). Swab material from Ct D and mock infected animals were subjected to HPLC–MS/MS and metabolite identification using PRISM Data Analysis. Global profiling of lipids detected at five time points of assessment revealed ceramide, triglyceride, sphingomyelin, choline and ethanolamines (Fig. 2). We detected ~2700 species of metabolites across all time points and the belonged to various families as shown in Fig. 2a. Amongst these the largest increase observed was that of PC at 3, 9 and 15 days post infection (section 7, black blowout portion, Fig. 2a–c). However at later time points, triglycerides (TG) were found to be the predominant lipids (Fig. 2d, e). Phosphotidyl-ethanolamine (PE), the precursor of PC exhibited a similar profile, i.e., was observed to be the second most predominant phospholipid detected at 3, 9, and 15 but not 30 and 65 days post infection (Fig. 2a – e). Overall, the observed trend in increases of phospholipid content during active stages of infection and reverting to mock infected levels following clearance of Ct D were indicative of a probable role in infectivity.
3.2 PC 16:0/18:1 and chlamydial infectivity
Considering increased PC content (compared to other lipids) during “active” shedding of organisms in infected animals, i.e. days 3, 9, and 15 concomitant with decreased PC content following ‘clearance’, i.e., days 30 and 65 (Fig. 2), we investigated the possible contribution of PC in establishment of Ct D infection. Cells (104C1) were infected with Ct D and PC content was assessed by using HPLC–MS/MS. As shown in Fig. 3a, 28 PC species were significantly regulated in vivo (cumulative from all five time point post infection).Amongst these, we found PC 16:0/18:1 to be significantly increased in vitro in 104C1, guinea pig cell line. Ten additional PC species were found to be greater than twofold regulated in Ct D infected cells compared to mock infection (Table 1). While 27 and 10 distinct PC species were detected in vivo and in vitro respectively (Table 1), for our current study we chose to determine the contribution of PC species found to be significantly regulated in both experimental models. PC 16:0/18:1 was regulated in vivo and in vitro following Ct D infection (Fig. 3a; Table 1). As shown in Fig. 3b, following Ct D infection the fold increase in relative ion abundance of PC 16:0/18:1 in infected cells compared to mock infection was 4.52 (in vivo: p = 0.0137, 2.04 × 109 compared to 5.5 × 108) and 2.30 (in vitro: p = 0.0036, 1.45 × 106 compared to 6.8 × 105). Tocorroborate the findings, we pretreated Hela and 104C1 cells with PC 16:0/18:1 encapsulated liposomes. We found PC 16:0/18:1 encapsulated liposomes to facilitate greater Ct D IFU numbers compared to liposome alone wells in both cell lines (Fig. 3c). Although increase in Ct D IFU were observed in Hela cells (84 %) and 104C1 (26 %) respectively, it was only statistically significant in Hela cells (p = 0.0016) (Fig. 3c). Taken together, these results suggest that PC 16:0/18:1 may facilitate in vivo and in vitro Ct D infection.
Table 1.
(A) In vivo |
(B) In vitro |
||||
---|---|---|---|---|---|
PC | FCa | Ion abundanceb | PC | FCa | Ion abundanceb |
PC(16:0/19:0) + H | 7.53 | 2.2 × 108 vs 2.9 × 107 | PC(16:1/13:0) + H | 8.10 | 6.3 × 107 vs 7.8 × 106 |
PC(16:0/22:1) + H | 2.78 | 1.0 × 109 vs 3.8 × 108 | PC(16:0/18:2) + H | 17.45 | 2.1 × 1010 vs 1.2 × 109 |
PC(16:0/18:1) + H | 4.52 | 2.0 × 109 vs 5.5 × 108 | PC(16:0/18:1) + H | 2.30 | 1.5 × 106 vs 6.8 × 105 |
PC(16:0e/15:0) + H | 3.73 | 8.3 × 108 vs 2.2 × 108 | PC(18:0/18:2) + H | 8.72 | 2.4 × 106 vs 2.8 × 105 |
PC(16:0e/16:0) + H | 4.93 | 4.3 × 109 vs 8.8 × 108 | PC(18:0/18:1) + H | 7.28 | 1.5 × 106 vs 2.1 × 105 |
PC(16:0p/24:2) + H | 8.78 | 1.4 × 109 vs 1.6 × 108 | PC(16:0p/22:6) + H | 25.13 | 3.4 × 108 vs 1.3 × 107 |
PC(16:1/19:1) + H | 8.62 | 6.4 × 107 vs 7.4 × 106 | PC(17:1/20:4) + H | 13.63 | 1.3 × 108 vs 9.2 × 106 |
PC(16:1p/24:2) + H | 10.52 | 8.1 × 108 vs 7.7 × 107 | PC(17:0/20:4) + H | 18.34 | 3.4 × 108 vs 1.9 × 107 |
PC(18:0/16:0) + H | 5.59 | 2.2 × 109 vs 4.08 × 108 | PC(18:0/20:4) + H | 25.81 | 2.5 × 109 vs 9.7 × 107 |
PC(18:0/18:1) + H | 2.88 | 1.6 × 1010 vs 5.6 × 109 | PC(16:1/24:7) + H | 14.45 | 2.3 × 108 vs 1.6 × 107 |
PC(18:0e/20:4) + H | 2.86 | 1.71 × 109 vs 5.9 × 108 | PC(20:0/19:0) + H | 8.28 | 5.9 × 107 vs 7.1 9 106 |
PC(18:0p/19:1) + H | 3.00 | 4.9 × 108 vs 1.6 × 108 | |||
PC(18:1/20:4) + H | 6.44 | 9.4 × 108 vs 1.4 × 108 | |||
PC(18:1p/24:2) + H | 10.51 | 4.5 × 108 vs 4.3 × 107 | |||
PC(20:0/22:4) + H | 2.69 | 1.5 × 108 vs 5.6 × 107 | |||
PC(18:1p/15:0) + H | 2.76 | 4.6 × 108 vs 1.7 × 108 | |||
PC(16:0/22:6) + H | 7.98 | 4.9 × 108 vs 6.2 × 107 | |||
PC(16:0e/15:0) + H | 5.00 | 4.4 × 108 vs 8.8 × 107 | |||
PC(16:0e/18:1) + H | 5.97 | 6.3 × 109 vs 1.0 × 109 | |||
PC(16:0e/20:4) + H | 2.71 | 8.4 × 108 vs 3.1 × 108 | |||
PC(16:1/18:2) + H | 6.54 | 2.2 × 109 vs 3.4 × 108 | |||
PC(16:1/19:1) + H | 6.55 | 2.9 × 107 vs 4.4 × 106 | |||
PC(18:0/16:0) + H | 6.92 | 1.6 × 109 vs 2.4 × 108 | |||
PC(18:0/18:1) + H | 2.58 | 1.1 × 1010 vs 4.3 × 109 | |||
PC(18:0e/16:0) + H | 2.88 | 5.1 × 105 vs 1.7 × 105 | |||
PC(18:0p/18:2) + H | 5.40 | 9.0 × 109 vs 1.8 × 109 | |||
PC(18:0p/20:4) + H | 2.95 | 7.6 × 108 vs 2.6 × 108 | |||
PC(19:1/18:2) + H | 3.85 | 4.2 × 108 vs 1.1 × 108 |
Fold change (FC) was calculated as ratio of ion abundance (A) in swab collected from Ct D infected to mock infected swab at respective time point; (B) Ct D infected/mock infected cells
Ion abundance was plotted as values obtained in Ct D infected group compared to mock infected groups. vs versus
4 Discussion
Intra-vaginal or -cervical Ct infection ascends disproportionately to the upper regions of the genital tract including uterine horns and oviducts (Darville and Hiltke 2010; Rank and Whittum-Hudson 2010; Gondek et al. 2012; Nogueira et al. 2015). Depending on the animal model, a single low-dose Ct inoculation (102–104) results in vaginal shedding of viable IFUs up to approximately 20–30 days post infection with mild to severe inflammation and hydrosalpinx formation, and tubal dilatation in uterine horns and/or oviducts (Morrison and Caldwell 2002; De Clercq et al. 2013; Vanrompay et al. 2005; Igietseme et al. 1998; Pan et al. 2015). Early events in Ct infection including tissue colonization, associated host immune and physiological factors potentially determine the severity and magnitude of ensuing late-stage upper genital pathology (Hafner et al. 2008; Champion et al. 2009; Jiang et al. 2012).
Lipids are integral components of host cellular architecture and critical to structure and function (Fahy et al. 2009; Gross and Han 2011; Subramaniam et al. 2011). It is known that altered lipid metabolism is associated with pathological conditions due to several factors including infection and inflammation (Stubbs and Smith 1984). Although subcellular localization and acquisition of host lipids is extensively known (Hackstadt et al. 1995, 1996; Wylie et al. 1997), the modulation of host lipids following genital Ct and the resultant effect on associated pathological sequelae is not well investigated. Growth and replication of Ct L2 is critically dependent on host derived sphingolipids (van Ooij et al. 2000). Also, Chlamydia utilizes Golgi and endoplasmic reticulum associated pathways for acquisition of host lipids including cholesterol and glycerol (Derre 2015; Elwell and Engel 2012; Elwell et al. 2011). Several host Rab GTPases and chlamydial inclusion membrane proteins are involved in lipid accumulation during chlamydial colonization (Capmany and Damiani 2010; Moore et al. 2008; Derre et al. 2011).
Based on the gap on our current understanding and the documented role for lipids in Ct infectivity/colonization, we identified the lipid ‘signatures’ associated with early and late stages of genital Ct D infection in vivo. Using a HPLC–MS/MS approach, the lipidome of Ct D infected guinea pigs at five progressive time points during Ct D infection was determined (Fig. 1). While 13 distinct lipids were abundantly detected across all five time points, PC and precursor molecule, PE were observed to be the most and second-most abundantly detected lipids respectively, amongst all detected metabolites at days 3, 9 and 15 post infection (Fig. 2). Mass spectrometry analyses of PC metabolites revealed significant regulation (p < 0.05) of PC 16:0/18:1 in Ct D infected 104C1 cells. Additionally, exogenous addition of PC 16:0/18:1 lead to an increase in Ct D infectivity in Hela 229 and 104C1 cells (Fig. 3c) corroborating our in vivo and in vitro findings (Figs. 2, 3a, b) and indicating a probable role for PC in Ct infection.
PC 16:0/18:1 is a member of phosphatidylcholine synthesized in the liver (Cole et al. 2012). The contribution of PC in modulating bacterial infectivity has been previously implicated-sterol free PC in the presence of linoleic or arachidonic acid alters Helicobacter pylori infectivity (Shimomura et al. 2009). Physiologically, PC significantly contribute to lipoprotein metabolism in inflammatory conditions including non-alcoholic fatty liver disease and cardiovascular disease (de Alwis and Day 2008; Cole et al. 2011). Additionally, PC play a critical role in pulmonary surfactant structure and physiology (Perez-Gil 2008). There is limited information on the role of surfactants in Chlamydia biology (Oberley et al. 2004a, b). We have previously reported regulation in pulmonary surfactants at early stages of C. muridarum infection in neonatal mice and a mechanistic role in altering structure, function and development of lungs of mice infected at birth (Jupelli et al. 2011). However, the specific role of PC induced changes in surfactants and associated pathology in genital Ct infection needs investigation.
PC 16:0/18:1 has also been reported to be significantly elevated in thyroid papillary and breast cancers and in-term placentas of gestational diabetes patients compared to controls (Ishikawa et al. 2012; Doria et al. 2012; Uhl et al. 2015). While the specific contribution of Ct D to PC 16:0/18:1 is not reported, McClarty and colleagues have demonstrated that Ct L2 accelerates metabolism of PC derived from low density lipoprotein and that endogenous host cell derived PC was trafficked to Ct D inclusions (Hatch and McClarty 2004).
Given that our metabolite results are obtained from endocervical swabs following Ct D infection, the relative contribution of bacteria and the infected host cells/tissues to synthesis and production of these metabolites is unknown. However our results on these host metabolites modulated at stages of Ct infection are associated with infected guinea pigs which are actively shedding recoverable IFUs from the genital tract (Fig. 1a). It is well established that events occurring during host–Ct interactions result in late stage upper genital pathology development (Fig. 2b) (Rey-Ladino et al. 2014). Therefore, our findings provide new insight on host factors that may be important and probably critical to early stage chlamydial infectivity and may potentially influence late stage events. PC 16:0/16:0 and palmitic acid (16:0) is elevated in inflammation, and increase levels of ICAM-1, an adhesion molecule in epithelial cells (He et al. 2014; Sanadgol et al. 2012). We have recently established the regulation of an early event-ICAM-1 via murine microRNA-214 in Ct infected murine genital tract may contribute to late stage upper genital pathology in an IL-17A dependent manner (Arkatkar et al. 2015). Additionally, palmitic acid induces TNF-α and IL-6 (Zhou et al. 2013), cytokines demonstrated by us and others to contribute significantly to causation of upper genital pathology in Ct infected mice (Murthy et al. 2011; Cunningham et al. 2013).
Taken together, these findings indicate that PC induced changes in early stages of infection might potentially contribute to mechanisms that contribute to causation of upper genital pathology. Additionally, our in vivo findings revealed regulation of distinct species of PE, phosphatidyl serines, triglycerides, diacylglycerols and ceramides in Ct D infected guinea pigs compared to mock infection (Supplementary Table S1). Although our present study focuses on the role of PC, the role of these other families of metabolites is warranted. To this end, the reported role of selected metabolites in Ct infection highlights the importance of these species in disease pathogenesis (Szaszak et al. 2013; Hatch and McClarty 2004; Banhart et al. 2014; Muller et al. 2013). Thus overall, the metabolomics approach to identifying molecules in genital Ct infection hold promise for identification of novel targets for future investigation.
5 Conclusion
In this study, using high-performance liquid chromatography-mass spectrometry, we mapped lipid profiles of female guinea pigs post Ct serovar D intravaginal infection. We found PC to be regulated temporally and to be the predominant metabolite family at early and intermediate stages of infection. Amongst all detected PC species, we observed PC 16:0/18:1 to be significantly regulated in vivo and in vitro following Ct D infection. Exogenesis addition of PC 16:0/18:1 to cells resulted in significant increase in Ct D infection corroborating in vivo association of PC 16:0/18:1 with bacterial burdens in guinea pigs. Taken together, this study demonstrates a role of host metabolites in Ct D infectivity.
Supplementary Material
Acknowledgments
We thank Dr. Roger Rank (Arkansas Children’s Hospital Research Institute) for sharing the 104C1 cell line, his support in establishing the guinea pig model and insightful discussions. We thank Drs. George R. Negrete and Oleg Larionov, Chemistry, UTSA for use of their equipment and reagents to prepare liposome encapsulated PC 16:0/18:1. This work was supported by National Institutes of Health (NIH) Grant (1RO3AI092621-01) and the Center for Excellence in Infection Genomics (CEIG) training Grant (DOD #W911NF-11-1-0136). Partial support of this study was from the Jane and Roland Blumberg Professorship in Biology for Dr. Arulanandam. Mass spectrometry analyses were conducted in the Metabolomics Core Facility of the Mass Spectrometry Laboratory at the University of Texas Health Science Center at San Antonio, with instrumentation funded in part by NIH Grant (1S10RR031586-01).
Footnotes
Electronic supplementary material The online version of this article (doi:10.1007/s11306-016-0998-5) contains supplementary material, which is available to authorized users.
Compliance with ethical standards
Ethical approval All Authors listed in this manuscript agree and comply with compliance with ethical requirements.
Conflict of Interest The authors have no conflicts of interest to declare in regards to this work.
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