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Ureaplasma urealyticum and U. parvum in sexually active women attending public health clinics in Brazil

Published online by Cambridge University Press:  22 June 2017

T. N. LOBÃO
Affiliation:
Instituto de Ciências Biomédicas, Departamento de Microbiologia, Universidade de São Paulo, Brazil
G. B. CAMPOS
Affiliation:
Instituto de Ciências Biomédicas, Departamento de Microbiologia, Universidade de São Paulo, Brazil Instituto Multidisciplinar em Saúde, Núcleo de Tecnologia em Saúde, Universidade Federal da Bahia, Brazil
N. N. SELIS
Affiliation:
Instituto Multidisciplinar em Saúde, Núcleo de Tecnologia em Saúde, Universidade Federal da Bahia, Brazil
A. T. AMORIM
Affiliation:
Instituto de Ciências Biomédicas, Departamento de Microbiologia, Universidade de São Paulo, Brazil
S. G. SOUZA
Affiliation:
Instituto Multidisciplinar em Saúde, Núcleo de Tecnologia em Saúde, Universidade Federal da Bahia, Brazil
S. S. MAFRA
Affiliation:
Instituto Multidisciplinar em Saúde, Núcleo de Tecnologia em Saúde, Universidade Federal da Bahia, Brazil
L. S. PEREIRA
Affiliation:
Instituto Multidisciplinar em Saúde, Núcleo de Tecnologia em Saúde, Universidade Federal da Bahia, Brazil
D. B. DOS SANTOS
Affiliation:
Centro de Ciências da Saúde, Universidade Federal do Recôncavo Baiano, Instituto de Ciências Biomédicas, Av. Professor Lineu Prestes, 1374. CEP 05508900, São Paulo, SP, Brazil
T. B. FIGUEIREDO
Affiliation:
Instituto Multidisciplinar em Saúde, Núcleo de Tecnologia em Saúde, Universidade Federal da Bahia, Brazil
L. M. MARQUES*
Affiliation:
Instituto de Ciências Biomédicas, Departamento de Microbiologia, Universidade de São Paulo, Brazil Instituto Multidisciplinar em Saúde, Núcleo de Tecnologia em Saúde, Universidade Federal da Bahia, Brazil
J. TIMENETSKY
Affiliation:
Instituto de Ciências Biomédicas, Departamento de Microbiologia, Universidade de São Paulo, Brazil
*
*Author for correspondence: L. M. Marques, Instituto de Ciências Biomédicas, Departamento de Microbiologia, Universidade de São Paulo, Brazil; Instituto Multidisciplinar em Saúde, Núcleo de Tecnologia em Saúde, Universidade Federal da Bahia, Brazil (Email: [email protected])
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Summary

Ureaplasma urealyticum and U. parvum have been associated with genital infections. The purpose of this study was to detect the presence of ureaplasmas and other sexually transmitted infections in sexually active women from Brazil and relate these data to demographic and sexual health, and cytokines IL-6 and IL-1β. Samples of cervical swab of 302 women were examined at the Family Health Units in Vitória da Conquista. The frequency of detection by conventional PCR was 76·2% for Mollicutes. In qPCR, the frequency found was 16·6% for U. urealyticum and 60·6% U. parvum and the bacterial load of these microorganisms was not significantly associated with signs and symptoms of genital infection. The frequency found for Trichomonas vaginalis, Neisseria gonorrhoeae, Gardnerella vaginalis and Chlamydia trachomatis was 3·0%, 21·5%, 42·4% and 1·7%, respectively. Higher levels of IL-1β were associated with control women colonized by U. urealyticum and U. parvum. Increased levels of IL-6 were associated with women who exhibited U. parvum. Sexually active women, with more than one sexual partner in the last 3 months, living in a rural area were associated with increased odds of certain U. parvum serovar infection.

Type
Original Papers
Copyright
Copyright © Cambridge University Press 2017 

INTRODUCTION

Ureaplasma urealyticum and U. parvum are members of the class Mollicutes, commonly referred to as mycoplasmas. Both species are commensals of the human urogenital tract. Infection rates as high as 40–80% in women and 50% in men have been reported [Reference Yi, Yoon and Kim1] and most of these infections are asymptomatic [Reference Volgmann, Ohlinger and Panzig2]. These Mollicutes are also responsible for a variety of diseases and events such as non-gonococcal urethritis, endometritis, pelvic inflammatory disease (PID), chorioamnionitis, spontaneous abortion, premature birth, stillbirth and neonatal bronchopulmonary dysplasia [Reference Waites3].

In the early days, U. urealyticum was divided into 14 serovars grouped into two biovars; biovar 1 composed of serovars 1, 3, 6, 14, while biovar 2 had 10 serovars 2, 4, 5, and 7–13, respectively. In 2002, biovars 1 and 2 were renamed U. parvum and U. urealyticum, respectively. This reclassification was based on differences based on genome size, 16S rRNA gene sequences, the 16S–23S rRNA intergenic region, enzyme polymorphisms, DNA–DNA hybridization, and differences in the multiple-banded antigen (mba) genes [Reference Xiao4].

The main characteristic of Ureaplasma spp. is their ability to hydrolyze urea and release ammonia causing a local cytotoxic effect. In addition they also produce IgA protease, urease, phospholipases A and C, and hydrogen peroxide [Reference Sung5].

The opportunistic role of mollicutes includes some features of the innate immune response [Reference Doh6]. Ryckman et al. [Reference Ryckman, Williams and Kalinka7] observed that vaginal IL-1β, IL-6, and IL-8 levels in pregnant were significantly higher in women with any mycoplasma compared with those without. This may be related to bacterial surface molecules. Recognition of bacterial surface molecules by the innate immune system can trigger the production of various proinflammatory cytokines from manifold cells, a surface component that causes inflammation [Reference Garcia8Reference Viscardi10]. Therefore it is possible to conclude that the immune response to mollicutes is variable due the host and the antigenic mosaic and variation of mollicutes. This may explain in part the potential role of Mollicutes in mammals to be excellent opportunistic microorganisms that modulate the immune response differently [Reference Campos11].

When these Mollicutes are identified in clinical samples, U. parvum are observed to be more frequent than U. urealyticum. However, this distribution is controversial due the antigenic variation or identification methods of these Mollicutes. In this context, the aim of the present study was to detect the prevalence of U. urealyticum, U. parvum, U. parvum serovars, and other microorganisms of genital infections among sexually active women attending health clinics in Vitória da Conquista, Brazil.

METHODS

Endocervical samples

This analytical cross-sectional study analyzed clinical samples from Vitória da Conquista city, the third largest city of Bahia State, in the northeast of Brazil. The women included in the study attended a Brazilian public health clinic, known as the ‘Unified Health System’. Cervical swabs were obtained from 302 women consecutively attending a health clinic in Vitória da Conquista, Brazil, from May to July 2011 and in January 2012. Women with and without symptoms of genital infection were studied, including 236 symptomatic women and 64 asymptomatic as a control group. Two women had missing observations related to symptoms of genital infection, but kept in the overall prevalence calculations. The following women were excluded: sexually inactive women, those using antibiotics in the last 3 months, pregnant and HIV-positive women. The cervix of selected women was accessed using a sterile speculum, and exudate was removed with a sterile swab. Two swabs were collected from each woman. One was then placed in 5 ml of sterile transport medium [Reference Busolo12] and stored at −20 °C for molecular analysis. The other swab was then placed in a tube containing 1 ml phosphate-buffer saline solution and stored at −70 °C for cytokines analysis.

A questionnaire that surveyed demographic details, obstetric and gynecologic history and knowledge about sexual behavior was administered. The questionnaire and the study were approved by the ethics committee of the Institute of Biomedical Sciences, University of São Paulo, Brazil.

DNA extraction

Swabs were vigorously homogenized in a transport medium and 1 ml of medium was used for the extraction. The DNA was extracted following the manufacturer's instructions for Invitrogen Purelink Genomic DNA Kits (Invitrogen, São Paulo, SP, Brazil). U. parvum ATCC 27815 and U. urealyticum ATCC 33175 were used as standard strains. The standard strains of Ureaplasma were the positive control, and UltraPure™ DNase/RNase-Free Distilled Water (Life Technology, Brazil) was the negative control for the PCR and qPCR methodology. The DNA of clinical samples and reference strains were stored at −80 °C.

Conventional PCR and real-time TaqMan PCR

This PCR procedure was used for detecting Mollicutes (as a screening test), as described by van Kuppeveld et al. [Reference van Kuppeveld13]. Positive samples for Mollicutes were analyzed for Ureaplasma species. Primers and probes for U. urealyticum (UUureF/UUureR/ProbeUU) and U. parvum (UPureF/UPureR/ProbeUP) were used for Real-time PCR, as described by Cao et al. [Reference Cao14]. All reactions were performed in duplicate in a StepOnePlus real-time PCR instrument (Applied Biosystems, Brazil). Quantification was performed using an absolute quantification technique, based on a predetermined standard curve ranging from 107 to 10 microorganisms/μl. The data were acquired during the annealing step and analyzed using the StepOne Software 2.1 (Applied Biosystems, Life Technologies Corporation). The Ct (threshold cycle) of the genome dilutions was plotted against the log number of genome copies and used as input to create the standard curve. Linear regression analyses were then applied to calculate the r 2 and slope values. Assuming 100% efficiency if the DNA template is doubled in each cycle, the PCR efficiency was calculated as E = 10( − 1/slope) − 1, where E is PCR efficiency. The positive samples for U. parvum were then submitted to a specific conventional PCR to detect serovars 1, 3, 6, and 14 of U. parvum [Reference De Francesco15].

Other sexually transmitted microorganism detection

Cervical samples were also tested with conventional PCR methodology to detect the targeted DNA of Chlamydia trachomatis [Reference Mgone, Lupiwa and Yeka16], Neisseria gonorrhoeae [Reference Mgone, Lupiwa and Yeka16], Trichomonas vaginalis [Reference Riley17] and Gardnerella vaginalis [Reference Zariffard18].

Measurement of IL-6 and IL-1β

The cervical interleukin (IL)-6 and IL-1β levels were dosage in duplicate using a commercially available ELISA kit (eBioscience, San Diego, CA, USA). To compare the difference between IL-6 and IL-1β titers, the values were log-transformed before statistical analysis.

Statistical data analysis

Statistical analyses of the questionnaire results were conducted through software SPSS 16.0 (SPSS Inc., Chicago, IL, USA). To check association between variables, a Pearson a χ 2 Test or Fisher's exact Test were used, P < 0·05 and 95% CI. The odds ratio (OR) was computed in Univariate Analysis to estimate the power of association between presence of vaginal infection, with risk factors such as demographics and women's sexual health. A Multivariate Analysis Logistic Regression was also used to determine which variables were independently associated with infection.

Mann–Whitney test was used to compare the titers of cervical IL-6 and IL-1β between individuals with U. urealyticum or U. parvum infections.

RESULTS

The PCR methodology showed that 230 (76·2%) of the women studied were colonized by Mollicutes. The real-time PCR detected 50 positive samples for U. urealyticum and 183 for U. parvum. Co-infection of both species was observed in 14 samples. U. parvum serovars 6 and 3/14 were the most frequent isolates in 64 (40·8%) and 62 (39·5%), respectively, followed by serovar 1 in 37 samples (23·6%). There were 27 samples that were cervical positive for U. parvum; however, they were negative for all four known U. parvum serovars.

We observed a prevalence of 42·4% (128/302) of G. vaginalis infection, 21·5% (65/302) of N. gonorrhoeae, 3·0% (9/302) of T. vaginalis and 1·7% (5/302) of C. trachomatis. Among women with U. urealyticum, four were coinfected with T. vaginalis, nine with N. gonorrhoeae, 25 with G. vaginalis and one with C. trachomatis. However, among women with U. parvum, nine were co-infected with T. vaginalis, 40 with N. gonorrhoeae, 82 with G. vaginalis and four with C. trachomatis.

Among the organisms determined by real-time PCR, the number of U. urealyticum was 50 (16·6%) of the cervical samples (bacterial load ranging from 10 to 104 organisms per sample). U. parvum organisms were detected in 183 (60·6%) of the samples (ranging from 101 to 107 organisms per sample). The bacterial load of U. urealyticum was significantly higher (P = 0·033, Mann–Whitney test) in the asymptomatic group than in the symptomatic group. In contrast, there was no significant difference between the bacterial of U. parvum in women with and without symptoms.

Table 1 shows the demographic, reproductive, and behavioral characteristics of the women screened for U. urealyticum and U. parvum infections detected by qPCR. Women living in rural areas (OR 2·85, 95% CI 1·50–5·41, P = 0·001) and having more than one sexual partner in the last 3 months (OR 8·07, 95% CI 1·08–60·35, P = 0·016) were significantly associated with the U. urealyticum infection. However, women with an active sex life (OR 3·25, 95% CI 1·39–7·57, P = 0·004) and having more than one sexual partner in the last 3 months (OR 3·79, 95% CI 1·82–7·88, P < 0·001) were associated with the U. parvum infection.

Table 1. Characteristics of study participants and association with Ureaplasma urealyticum and U. parvum infections in women from Vitória da Coquista, Brazil

AOR, adjusted odds ratio; OR, odds ratio.

Missing observations:

1 Sex life: loss of 1 (n = 301).

2 Dyspareunia: loss of 10 and excluded women in inactive sex life (n = 292).

3 Postcoital bleeding: loss of nine and excluded women in inactive sex life (n = 293).

4 Discharge: loss of 1 (n = 301).

5 Reason for visit: loss of 4 (n = 298).

* Percentage of total study population with characteristic that tested positive for U. urealyticum and U. parvum by qPCR.

§ Sexual partners in the last 3 months.

Variables with a p value >0·10 were not included in the multivariate analysis.

a P < 0·001.

b P < 0·05.

In the multivariate analyses, the following factors were found to be associated with U. urealyticum infection (Table 1): living in a rural area (adjusted odds ratio (AOR) 2·4, 95% CI 1·2–4·6), with five or more lifetime sexual partners (AOR 3·8, 95% CI 1·1–13·2) and having more than one sexual partner in the last 3 months (AOR 5·3, 95% CI 0·6–44·1) had a higher risk, and those not in a stable relationship (AOR 0·7, 95% CI 0·2–2·0) had a lower risk for U. urealyticum infection.

Sexually active women (AOR 1·8, 95% CI 0·5–5·9), with more than one sexual partner in the last 3 months (AOR 2·6, 95% CI 0·9–6·8) and presenting itch (AOR 1·5, 95% CI 0·8–2·6) and vaginal discharge (AOR 1·3, 95% CI 0·7–2·3) were associated with an increase in odds for U. parvum infection (Table 1).

Multivariate analyses of the risk factors associated with U. parvum serovar infections are shown in Table 2. Women living in rural areas (AOR 3·4, 95% CI 1·6–7·3), with an education level of less than high school (AOR 1·6, 95% CI 0·6–4·2), dysuria (AOR 1·9, 95% CI 0·8–4·4) and pelvic pain (AOR 1·3, 95% CI 0·6–2·8) were independently associated with serovar 1 U. parvum. Menarche before 15 years had a lower risk for infection of serovar 1 U. parvum. Women with a higher number of sexual partners in the last 3 months (AOR 4·6, 95% CI 1·1–19·8) and vaginal discharge (AOR 1·8, 95% CI 0·9–3·4) presented a higher risk to be infected with U. parvum serovars 3/14.

Table 2. Multivariate logistic-regression analysis for assessment of independent risk factors for Serovars Ureaplasma parvum infections in women from Vitória da Conquista, Brazil

* Sexual partners in the last 3 months.

AOR, adjusted odds ratio; CI, confidence interval.

The reason for the medical care visit (AOR 1·6, 95% CI 0·8–2·8), age below 25 years (AOR 2·3, 95% CI 1·1–4·4), being sexually active (AOR 1·9, 95% CI 0·6–6·3), age at first sexual intercourse until 15 years (AOR 1·6, 95% CI 0·8–2·9), and dyspareunia (AOR 1·5, 95% CI 0·8–2·7) were associated with an increase for the odds of G. vaginalis infection (Table 3). A negative association was correlated with living in a rural area (AOR 0·6, 95% CI 0·3–1·1) and an education level of less than high school (AOR 0·7, 95% CI 0·4–1·2). Postcoital bleeding (AOR 3·6, 95% CI 1·4–9·2) was associated with an increase in the odds for N. gonorrhoeae infection, and living in a rural area (AOR 0·1, 95% CI 0·02–0·3) were associated with decreased odds of N. gonorrhoeae infection.

Table 3. Multivariate logistic-regression analysis for assessment of independent risk factors for Gardnerella vaginalis and Neisseria gonorrhoeae infections in women from Vitória da Conquista, Brazil

AOR, adjusted odds ratio; CI, confidence interval.

Significant differences were observed between IL-6 and IL-1β concentrations in cervical samples among symptomatic and non-symptomatic women (Fig. 1A and B). The association between IL-6 levels did not present a significant difference with the U. urealyticum infections (Fig. 1D). However, higher IL-1β levels were observed in women with U. urealyticum infection (Fig. 1C). The relationships between cervical IL-1β and IL-6 levels and U. parvum infection were significant. Higher IL-1β and IL-6 levels were detected in women with U. parvum infection (Fig. 1F and G).

Fig. 1. Relationship between vaginal infection by U. urealyticum, and the concentrations of IL-1β and IL-6 in cervical samples using ELISA among women attending health units in Vitória da Conquista, Brazil, 2013. (A) Concentration of IL-1β (pg/mL) in cervical samples of women and symptomatic and controls. (B) Concentration of IL-6 (pg/mL) in cervical samples of symptomatic women and controls. (C) Concentration of IL-1β (pg/ml) in cervical samples of women qPCR positive and negative U. urealyticum. (D) Concentration of IL-6 (pg/ml) in cervical samples of women qPCR positive and negative U. urealyticum. (E) Concentration of IL-1β (pg/ml) in cervical samples of women qPCR positive and negative U. parvum. (F) Concentration of IL-6 (pg/ml) in cervical samples of women qPCR positive and negative U. parvum. Statistical analysis by Mann–Whitney. P < 0·05.

DISCUSSION

Here we studied a group of women who live in an arid region of Brazil and compare their age, sexual activity and relationship status with the molecular detection of Ureaplasma and other STD agents in cervical swabs. Data regarding the relative frequencies of ureaplasmas in the Brazilian population are scant [Reference Rodrigues19]. Moreover, as the separation of human ureaplasmas in two species is recent, the Brazilians studies do not provide this distinction, making it difficult to compare data. In the present study, U. parvum was detected more frequently than U. urealyticum. Other studies have also shown a higher prevalence of U. parvum in samples of the female urogenital tract than the U. urealyticum [Reference Bao20Reference Humburg22]. The molecular diagnosis was able to detect ureaplasmal DNA, but the results do not show viable microorganisms as the qPCR results do. But both methodologies are fast, and the quantification of DNA in a clinical sample is a more accurate indicator of infection. In the present study, the bacterial load of U. urealyticum was significantly higher in the asymptomatic group than in the symptomatic group. An explanation for this may be related to the commensal characteristic of these microorganisms. Despite the higher bacterial load, other factors related to the host could be related to clinical manifestations [Reference Yi, Yoon and Kim1].

In the present study, U. parvum serovars 6 and 3/14 were the most frequent, followed by serovar 1. Multiple U. parvum serovars were detected in 18 cervical samples, while one was not typeable. Horizontal gene transfer (HGT) has been observed among Ureaplasma species, and the serovars can generate chimeric isolates with markers of two or more serovars [Reference Xiao23]. The HGT was also observed between U. parvum and Mycoplasma hominis [Reference Pereyre24]. Xiao et al. [Reference Xiao23] mentioned the failure to separate multiple serovars from some clinical isolates, suggesting the occurrence of hybrid isolates and explaining the detection of more than one serovar-specific in PCR assay. Antibody based or PCR methods have reported a certain number of non-typeable isolates [Reference Knox25, Reference Yoshida26].

U. urealyticum infection was positively associated with the living in a rural area and having more than one sexual partner in the last 3 months, which was inversely associated with women not in a stable relationship. Tibaldi et al. [Reference Tibaldi27] found a similar association with women between 14 and 25 years, without a stable sexual partner, history of abortion, IUD (intrauterine device) use, more than one sexual partner in the last 6 months and more than two sexual partners during their lifetime. U. parvum infection was more frequently associated with sexually active women than women with more than one sexual partner in the last 3 months with itching and vaginal discharge. Other studies have found an association with this Ureaplasma and PID, premature birth and bronchopulmonary dysplasia in neonates [Reference Bao20Reference Humburg22]. However, Jones et al. [Reference Jones28] detected inconsistent association of U. parvum infection and clinical signs.

In our study, the prevalence of C. trachomatis was estimated at 1·7%. Yamazaki et al. [Reference Yamazaki29] in Sapporo, Japan found C. trachomatis in 14·3% of samples. In Brazil, several studies found this agent ranging from 5·0% to 19·6% among youth attending outpatient clinics and gynecological clinics, and attending the Family Health program [Reference Araujo30, Reference Guimaraes31].

Three per cent of the studied women were positive for T. vaginalis. Similarly, a study in the USA found the prevalence was 3·1% among women aged between 14 and 49 years [Reference Sutton32]. Other studies found a higher prevalence for this microorganism [Reference Ginocchio33, Reference Van Der Pol34]. Here we found no association between C. trachomatis and T. vaginalis with symptoms of urogenital infection. Gaydos et al. found an association between Chlamydia and young women, and the number of sexual partners. The T. vaginalis association was found with age at first intercourse, previous sexually transmitted infections (STIs) and presence of vaginal discharge, and with black women, the number of sexual partners in the year preceding the study, bisexual relationships and occasional condom use [Reference Gaydos35].

N. gonorrhoeae was detected in 21·5% of samples and was significantly associated with the symptom of postcoital bleeding. Other studies showed lower prevalence of N. gonorrhoeae infection [Reference Chen36, Reference Livengood and Wrenn37]. According to Mgone et al. [Reference Mgone, Lupiwa and Yeka16] the prevalence of N. gonorrhoeae was highest in young women between 20 and 24 years. G. vaginalis was detected in 42·4% of vaginal samples, and was associated with symptomatic women, age <25 years, sexually active, age at first intercourse and symptom dyspareunia. A study by Fethers et al. [Reference Fethers38] observed an increase in prevalence of this parasite in women according to their number of sexual partners.

The difference in prevalence between the ureaplasmas and the searched microorganisms and risk factors compared with the literature could be related to the population studied. Some authors confirm that the prevalence of genital microorganisms is related to regional differences [Reference Nakashima39Reference Casin44]. However, explanations for these differences are not clear, are variable and require more study. The women studied live in the Northeast region of Brazil, which has a semi-arid climate, with high rates of poverty. This population depends strictly on basic governmental health services. At the time of collection of clinical material, the healthcare service for women was not in service for several months. We believe this factor associated with lack of knowledge regarding prevention and treatment of STIs may have contributed to this prevalence obtained.

Bacterial infections in the vagina typically induce a local immune response in the host. The pro-inflammatory cytokine, IL-1β, is induced in the lower genital tract in women with vaginal infection [Reference Cauci45, Reference Cauci46]. The vaginal production of additional cytokines, both pro- and anti-inflammatory, in relation to the local immune response to bacterial vaginosis has not been thoroughly investigated [Reference Weissenbacher47]. In this study, a statistically significant association was not found between both IL-6 and IL-1β and ureaplasma infection compared with women without infection.

The proinflammatory cytokine IL-6 is a component of mechanisms that regulate innate immunity. The IL-6 is produced in the early phase of infections, and several studies have shown that preterm labor is associated with increased levels of IL-6 in maternal cervicovaginal and amniotic fluid [Reference Rizzo48]. A difference in the IL-6 levels was also detected among women with U. parvum infection. Some studies have shown a positive association between levels of IL-6 in cervicovaginal fluid with preterm labor [Reference Taylor49] and presence of cervical inflammation, altered vaginal microbiota and pregnancy [Reference Sturm-Ramirez50].

In the present study, a difference in the IL-6 and IL-1β levels was observed among women with U. urealyticum and U. parvum infection. The IL-1β cytokines are present intracellularly in the epithelial cells at the cell damage. These cytokines play a central role in regulating the inflammatory response in damaged tissue and assist in the development of the preterm labor when associated with an infection, with prostaglandin production by amniotic epithelium and stimulate myometrial contractily [Reference Fortunato and Menon51]. According to Patterson et al. [Reference Patterson52] isolation of Ureaplasma from the respiratory tract of preterm infants is associated with increased IL-1β concentrations. However, another study found no relationship between U. urealyticum detection and the concentration of any cytokine IL-1β, IL-4 and IL-6 in asymptomatic pregnant women [Reference Perni53].

The high prevalence of microorganisms involved with STIs underscores the urgent need for comprehensive prevention and control programs including not only behavioral interventions but also screening and improvements in medical care. Sexually active women, with more than one sexual partner in the last 3 months, living in a rural area were associated with an increase of odds for ureaplasma infection. This study detected 50 positive samples for U. urealyticum and 183 for U. parvum and significant differences were observed between IL-6 and IL-1β concentrations in cervical samples among symptomatic and non-symptomatic women. Moreover, IL-1β was observed in higher concentration in women with U. urealyticum and U. parvum infection. Higher IL-6 only was observed in women with U. parvum.

ACKNOWLEDGEMENTS

The study has been approved by the Biomedical Science Institute Ethics Committee of Sao Paulo University. This study was supported by Fundação de Amparo a Pesquisa do Estado de São Paulo (2011/10138-4). The authors thank Aricelma P. França for invaluable technical assistance, Dr Jorge Sampaio, associated researcher of Fleury Institute/São Paulo – Brazil, for kindly providing bacterial samples and AcademicEnglishSolutions.com for revising the English.

DECLARATION OF INTEREST

None.

References

REFERENCES

1. Yi, J, Yoon, BH, Kim, EC. Detection and biovar discrimination of Ureaplasma urealyticum by real-time PCR. Molecular and Cellular Probes 2005; 19(4): 255260.Google Scholar
2. Volgmann, T, Ohlinger, R, Panzig, B. Ureaplasma urealyticum-harmless commensal or underestimated enemy of human reproduction? A review. Archives of Gynecology and Obstetrics 2005; 273(3): 133139.CrossRefGoogle ScholarPubMed
3. Waites, KB, et al. Congenital and opportunistic infections: ureaplasma species and Mycoplasma hominis . Seminars in Fetal & Neonatal Medicine 2009; 14(4): 190199.Google Scholar
4. Xiao, L, et al. Detection and characterization of human Ureaplasma species and serovars by real-time PCR. Journal of Clinical Microbiology 2010; 48(8): 27152723.Google Scholar
5. Sung, TJ. Ureaplasma infections in pre-term infants: recent information regarding the role of Ureaplasma species as neonatal pathogens. Korean Journal of Pediatrics 2010; 53(12): 989993.Google Scholar
6. Doh, K, et al. Differential vaginal expression of interleukin-1 system cytokines in the presence of Mycoplasma hominis and Ureaplasma urealyticum in pregnant women. Infectious Diseases in Obstetrics and Gynecology 2004; 12(2): 7985.Google Scholar
7. Ryckman, KK, Williams, SM, Kalinka, J. Correlations of selected vaginal cytokine levels with pregnancy-related traits in women with bacterial vaginosis and mycoplasmas. Journal of Reproductive Immunology 2008; 78(2): 172180.Google Scholar
8. Garcia, J, et al. A Mycoplasma fermentans-derived synthetic lipopeptide induces AP-1 and NF-kappaB activity and cytokine secretion in macrophages via the activation of mitogen-activated protein kinase pathways. The Journal of Biological Chemistry 1998; 273(51): 3439134398.Google Scholar
9. Kacerovsky, M, et al. Amniotic fluid protein profiles of intraamniotic inflammatory response to Ureaplasma spp. and other bacteria. PloS One 2013; 8(3): e60399.Google Scholar
10. Viscardi, RM. Ureaplasma species: role in neonatal morbidities and outcomes. Archives of Disease in Childhood Fetal and Neonatal Edition 2014; 99(1): F87F92.CrossRefGoogle Scholar
11. Campos, GB, et al. Prevalence of Mycoplasma genitalium and Mycoplasma hominis in urogenital tract of Brazilian women. BMC Infectious Diseases 2015; 15: 60.Google Scholar
12. Busolo, F, et al. Survival of genital mycoplasma on various bacteriological swabs and transport media. Bollettino Dell'istituto Sieroterapico Milanese 1981; 60(1): 3140.Google ScholarPubMed
13 van Kuppeveld, FJ, et al. Genus- and species-specific identification of mycoplasmas by 16S rRNA amplification. Applied and Environmental Microbiology 1992; 58(8): 26062615.Google Scholar
14 Cao, X, et al. Two multiplex real-time TaqMan polymerase chain reaction systems for simultaneous detecting and serotyping of Ureaplasma parvum . Diagnostic Microbiology and Infectious Disease 2007; 59(1): 109111.Google Scholar
15 De Francesco, MA, et al. Detection of Ureaplasma biovars and polymerase chain reaction-based subtyping of Ureaplasma parvum in women with or without symptoms of genital infections. European Journal of Clinical Microbiology & Infectious Diseases 2009; 28(6): 641646.Google Scholar
16 Mgone, CS, Lupiwa, T, Yeka, W. High prevalence of Neisseria gonorrhoeae and multiple sexually transmitted diseases among rural women in the Eastern Highlands Province of Papua New Guinea, detected by polymerase chain reaction. Sexually Transmitted Diseases 2002; 29(12): 775779.Google Scholar
17 Riley, DE, et al. Development of a polymerase chain reaction-based diagnosis of Trichomonas vaginalis . Journal of Clinical Microbiology 1992; 30(2): 465472.CrossRefGoogle ScholarPubMed
18 Zariffard, MR, et al. Detection of bacterial vaginosis-related organisms by real-time PCR for Lactobacilli, Gardnerella vaginalis and Mycoplasma hominis . FEMS Immunology and Medical Microbiology 2002; 34(4): 277281.Google Scholar
19 Rodrigues, MM, et al. Frequency of Chlamydia trachomatis, Neisseria gonorrhoeae, Mycoplasma genitalium, Mycoplasma hominis and Ureaplasma species in cervical samples. Journal of Obstetrics and Gynaecology 2011; 31(3): 237241.Google Scholar
20 Bao, T, et al. Simultaneous detection of Ureaplasma parvum, Ureaplasma urealyticum, Mycoplasma genitalium and Mycoplasma hominis by fluorescence polarization. Journal of Biotechnology 2010; 150(1): 4143.Google Scholar
21 Gupta, V, et al. Detection and biovar discrimination of Ureaplasma urealyticum in Indian patients with genital tract infections. Diagnostic Microbiology and Infectious Disease 2008; 60(1): 9597.Google Scholar
22 Humburg, J, et al. Accuracy of urethral swab and urine analysis for the detection of Mycoplasma hominis and Ureaplasma urealyticum in women with lower urinary tract symptoms. Archives of Gynecology and Obstetrics 2012; 285(4): 10491053.Google Scholar
23 Xiao, L, et al. Extensive horizontal gene transfer in ureaplasmas from humans questions the utility of serotyping for diagnostic purposes. Journal of Clinical Microbiology 2011; 49(8): 28182826.Google Scholar
24 Pereyre, S, et al. Life on arginine for Mycoplasma hominis: clues from its minimal genome and comparison with other human urogenital mycoplasmas. PLoS Genetics 2009; 5(10): e1000677.Google Scholar
25 Knox, CL, et al. Ureaplasma parvum and Ureaplasma urealyticum are detected in semen after washing before assisted reproductive technology procedures. Fertility and Sterility 2003; 80(4): 921929.Google Scholar
26 Yoshida, T, et al. Polymerase chain reaction-based subtyping of Ureaplasma parvum and Ureaplasma urealyticum in first-pass urine samples from men with or without urethritis. Sexually Transmitted Diseases 2005; 32(7): 454457.Google Scholar
27 Tibaldi, C, et al. Vaginal and endocervical microorganisms in symptomatic and asymptomatic non-pregnant females: risk factors and rates of occurrence. Clinical Microbiology and Infection 2009; 15(7): 670679.Google Scholar
28 Jones, HP, et al. Depletion of CD8+ T cells exacerbates CD4+ Th cell-associated inflammatory lesions during murine mycoplasma respiratory disease. Journal of Immunology 2002; 168(7): 34933501.Google Scholar
29 Yamazaki, T, et al. Frequency of Chlamydia trachomatis in Ureaplasma-positive healthy women attending their first prenatal visit in a community hospital in Sapporo, Japan. BMC Infectious Diseases 2012; 12.Google Scholar
30 Araujo, RSC, et al. Prevalence and risk factors for Chlamydia trachomatis infection in adolescent females and young women in central Brazil. European Journal of Clinical Microbiology & Infectious Diseases 2006; 25(6): 397400.Google Scholar
31 Guimaraes, EMB, et al. Lack of utility of risk score and gynecological examination for screening for sexually transmitted infections in sexually active adolescents. BMC Medicine 2009; 7.Google Scholar
32 Sutton, M, et al. The prevalence of Trichomonas vaginalis infection among reproductive-age women in the United States, 2001–2004. Clinical Infectious Diseases 2007; 45(10): 13191326.Google Scholar
33 Ginocchio, CC, et al. Prevalence of Trichomonas vaginalis and coinfection with Chlamydia trachomatis and Neisseria gonorrhoeae in the United States as determined by the Aptima Trichomonas vaginalis Nucleic Acid Amplification Assay. Journal of Clinical Microbiology 2012; 50(8): 26012608.Google Scholar
34 Van Der Pol, B, et al. Prevalence, incidence, natural history, and response to treatment of Trichomonas vaginalis infection among adolescent women. Journal of Infectious Diseases 2005; 192(12): 20392044.Google Scholar
35 Gaydos, CA, et al. Trichomonas vaginalis infection in women who submit self-obtained vaginal samples after internet recruitment. Sexually Transmitted Diseases 2011; 38(9): 828832.Google Scholar
36 Chen, XS, et al. The prevalences of Neisseria gonorrhoeae and Chlamydia trachomatis infections among female sex workers in China. BMC Public Health 2013; 13.Google Scholar
37 Livengood, CH, Wrenn, JW. Evaluation of COBAS AMPLICOR (Roche): accuracy in detection of Chlamydia trachomatis and Neisseria gonorrhoeae by coamplification of endocervical specimens. Journal of Clinical Microbiology 2001; 39(8): 29282932.Google Scholar
38 Fethers, KA, et al. Sexual risk factors and Bacterial Vaginosis: a systematic review and meta-analysis. Clinical Infectious Diseases 2008; 47(11): 14261435.Google Scholar
39 Nakashima, K, et al. Prevalence of human papillomavirus infection in the oropharynx and urine among sexually active men: a comparative study of infection by papillomavirus and other organisms, including Neisseria gonorrhoeae, Chlamydia trachomatis, Mycoplasma spp., and Ureaplasma spp. BMC Infectious Diseases 2014; 14.Google Scholar
40 Lazenby, GB, et al. An association between Trichomonas vaginalis and high-risk human papillomavirus in rural Tanzanian women undergoing cervical cancer screening. Clinical Therapeutics 2014; 36(1): 3845.Google Scholar
41 Guy, R, et al. Coinfection with Chlamydia trachomatis, Neisseria gonorrhoeae and Trichomonas vaginalis: a cross-sectional analysis of positivity and risk factors in remote Australian Aboriginal communities. Sexually Transmitted Infections 2014; 3: 201206.Google Scholar
42 Fastring, DR, et al. Co-occurrence of Trichomonas vaginalis and bacterial vaginosis and vaginal shedding of HIV-1 RNA. Sexually Transmitted Diseases 2014; 41(3): 173179.Google Scholar
43 Gaydos, C, et al. Mycoplasma genitalium as a contributor to the multiple etiologies of cervicitis in women attending sexually transmitted disease clinics. Sexually Transmitted Diseases 2009; 36(10): 598606.Google Scholar
44 Casin, I, et al. High prevalence of Mycoplasma genitalium in the lower genitourinary tract of women attending a sexually transmitted disease clinic in Paris, France. Sexually Transmitted Diseases 2002; 29(6): 353359.Google Scholar
45 Cauci, S, et al. Correlation of local interleukin-1beta levels with specific IgA response against Gardnerella vaginalis cytolysin in women with bacterial vaginosis. American Journal of Reproductive Immunology 2002; 47(5): 257264.Google Scholar
46 Cauci, S, et al. Interrelationships of interleukin-8 with interleukin-1beta and neutrophils in vaginal fluid of healthy and bacterial vaginosis positive women. Molecular Human Reproduction 2003; 9(1): 5358.Google Scholar
47 Weissenbacher, T, et al. Interleukin-6, interleukin-10 and interleukin-12 in vaginal fluid from women with bacterial vaginosis. Archives of Gynecology and Obstetrics 2010; 281(1): 7780.Google Scholar
48 Rizzo, G, et al. Interleukin-6 concentrations in cervical secretions in the prediction of intrauterine infection in preterm premature rupture of the membranes. Gynecologic and Obstetric Investigation 1998; 46(2): 9195.Google Scholar
49 Taylor, BD, et al. Inflammation biomarkers in vaginal fluid and preterm delivery. Human Reproduction 2013; 28(4): 942952.Google Scholar
50 Sturm-Ramirez, K, et al. High levels of tumor necrosis factor-alpha and interleukin-1beta in bacterial vaginosis may increase susceptibility to human immunodeficiency virus. The Journal of Infectious Diseases 2000; 182(2): 467473.Google Scholar
51 Fortunato, SJ, Menon, R. Distinct molecular events suggest different pathways for preterm labor and premature rupture of membranes. American Journal of Obstetrics and Gynecology 2001; 184(7): 13991405; discussion 1405-1396.CrossRefGoogle ScholarPubMed
52 Patterson, AM, et al. Ureaplasma urealyticum respiratory tract colonization is associated with an increase in interleukin 1-beta and tumor necrosis factor alpha relative to interleukin 6 in tracheal aspirates of preterm infants. The Pediatric Infectious Disease Journal 1998; 17(4): 321328.Google Scholar
53 Perni, SC, et al. Mycoplasma hominis and Ureaplasma urealyticum in midtrimester amniotic fluid: association with amniotic fluid cytokine levels and pregnancy outcome. American Journal of Obstetrics and Gynecology 2004; 191(4): 13821386.Google Scholar
Figure 0

Table 1. Characteristics of study participants and association with Ureaplasma urealyticum and U. parvum infections in women from Vitória da Coquista, Brazil

Figure 1

Table 2. Multivariate logistic-regression analysis for assessment of independent risk factors for Serovars Ureaplasma parvum infections in women from Vitória da Conquista, Brazil

Figure 2

Table 3. Multivariate logistic-regression analysis for assessment of independent risk factors for Gardnerella vaginalis and Neisseria gonorrhoeae infections in women from Vitória da Conquista, Brazil

Figure 3

Fig. 1. Relationship between vaginal infection by U. urealyticum, and the concentrations of IL-1β and IL-6 in cervical samples using ELISA among women attending health units in Vitória da Conquista, Brazil, 2013. (A) Concentration of IL-1β (pg/mL) in cervical samples of women and symptomatic and controls. (B) Concentration of IL-6 (pg/mL) in cervical samples of symptomatic women and controls. (C) Concentration of IL-1β (pg/ml) in cervical samples of women qPCR positive and negative U. urealyticum. (D) Concentration of IL-6 (pg/ml) in cervical samples of women qPCR positive and negative U. urealyticum. (E) Concentration of IL-1β (pg/ml) in cervical samples of women qPCR positive and negative U. parvum. (F) Concentration of IL-6 (pg/ml) in cervical samples of women qPCR positive and negative U. parvum. Statistical analysis by Mann–Whitney. P < 0·05.