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Distribution study of Chlamydia trachomatis genotypes in symptomatic patients in Buenos Aires, Argentina: association between genotype E and neonatal conjunctivitis
Chlamydia trachomatis infections are the most prevalent sexually transmitted bacterial infections in the world. There is scarce data available referring to the distribution of C. trachomatis genotypes in Argentina. The aim of this study was to identify the genotypes of C. trachomatis circulating in the metropolitan area of Buenos Aires (Argentina) associated with ophthalmia neonatorum and genital infections.
Findings
From 2001 to 2006, 199 positive samples for C. trachomatis infection from symptomatic adult patients and neonates with ophthalmia neonatorum from two public hospitals were studied. C. trachomatis genotypes were determined by PCR-RFLP of an ompA fragment.
Genotype E was the most prevalent regardless of the sample origin (46.3% 57/123 in adults and 72.4% 55/76 in neonates), followed by genotype D (19.5% 24/123) and F (14.6% 18/123) in adults, and G (9.2% 7/76) and D (7.9% 6/76) in neonates. We detected a significantly higher frequency of genotype E (p < 0.001, OR = 3.03 (1.57<OR<5.90)) in ophthalmia neonatorum than in genital specimens. Genotype D was associated with genital localization (p < 0.05, OR = 2.83 (1.03<OR<8.18)).
Conclusion
We found a particularly increased frequency of C. trachomatis genotype E in neonatal conjunctivitis, which may indicate an epidemiological association between this genotype and the newborn population. The present study also contributed to increase the knowledge on genotype distribution of Chlamydia trachomatis in symptomatic adult patients in Buenos Aires, Argentina, in which genotypes E, D and F were the predominant ones.
Introduction
Chlamydia trachomatis infections are the most prevalent sexually transmitted bacterial infections in the world. The World Health Organization estimated that 90 million new cases of chlamydial infections occurred globally in 1999 [1].
The prevalence of C. trachomatis lower tract infections varies from 2-25% according to the studied population, and is highest among adolescents [2]. Chlamydial infections are often asymptomatic (70-80% of women and up to 50% of men) and may therefore remain untreated. In women, an untreated infection can lead to pelvic inflammatory disease (PID), chronic pelvic pain, and, at a later stage, to ectopic pregnancy and tubal factor infertility [3].
Infants exposed to C. trachomatis at birth are at increased risk of developing eye and lung infections such as conjunctivitis and pneumonia and the estimated incidence of such infections in those newborn babies is 15% and 7% respectively [4–6]. Prevalence of neonatal conjunctivitis due to C. trachomatis has been reported to be about 8%, but it varies widely depending on prevalence values in their mothers [7–9].
C. trachomatis serotyping is based on immunogenic epitope analysis of the major outer membrane protein (MOMP), and it differentiates 18 serovars. Among these, serovars A to C are associated with trachoma, serovars D to K are common urogenital and ocular pathogens in adults and are also associated with chlamydial neonatal conjunctivitis worldwide, and serovars L1 to L3 are associated with lymphogranuloma venereum. Genotyping techniques are based on the analysis of the sequence changes in the single copy gene omp A that encodes MOMP. Genotype classification correlates with the serovar classification previously mentioned [10], but even though this classification is practical and accepted among researchers, does not allow establishing relationships between isolates. The application of new typing schemes based on sequencing a number of C. trachomatis variable genes, like MLST (Multi Locus Sequence Typing), will help to have a better understanding on the epidemiology and transmission of C. trachomatis infections [11].
C. trachomatis infection has not been largely studied in neonates regarding ophthalmia neonatorum and pneumonia [12–15] and data available on C. trachomatis serovar distribution associated to neonatal conjunctivitis is scarce. Datta et al. [16] studied C. trachomatis serovars in ophthalmia neonatorum in a trachoma endemic area, and reported that none of the identified serovars from infants with neonatal conjunctivitis belonged to the classic trachoma serovars. We have recently reported that serovar E was the most frequently detected serovar (71.0%) in a small population of neonates with neonatal conjunctivitis in Buenos Aires, Argentina [17].
The biological basis of the association between a cluster or a defined genotype of C. trachomatis and a particular disease is not yet well understood [18, 19] and might be the result of many factors.
The aim of this study was to investigate the distribution of C. trachomatis genotypes among a population of patients showing symptoms of ophthalmia neonatorum and genital disease in the metropolitan area of Buenos Aires (Argentina).
Methods
Study Population
Samples included in this study were obtained from patients demanding diagnosis at the university hospital (Hospital de Clínicas "José de San Martín", University of Buenos Aires hospital, HJSM), located in downtown Buenos Aires, and at the national hospital (Hospital Nacional Prof Dr. A. Posadas, HNAP) located in the suburbs of Buenos Aires. Positive samples for C. trachomatis infection collected between January 2001 and December 2006 both from newborn babies (aged under 30 days) with ophthalmia neonatorum and from adults with genital symptoms were studied.
Patients were managed under standard approved hospital procedures. The population attending both hospitals belonged to lower and lower-middle classes and attended general practitioner's office. Neither STD clinic patients nor mother-child pairs were included in this study.
All neonates presented clinical signs of conjunctivitis. The most frequent symptoms described by adult patients from both hospitals included urethral or vaginal discharge, dyspareunia, dysuria, lower abdominal pain, and genital burning or itching sensation.
Sample collection and detection of C. trachomatis
Ocular specimens from neonates and endocervical and urethral specimens from adult patients were collected using sterile Dacron tipped swabs.
All the samples obtained at the university hospital were placed in 2-sucrose phosphate (2SP) solution and were then analysed by omp A PCR and cultured in LLC-MK2 cells.
Specimens collected at the HNAP were analysed with two commercial ELISA tests. Between January 2001 and December 2004 Chlamydiazyme (Abbott Laboratories, Chicago IL) was used, and miniVIDAS (bioMerieux, Marcy l' Etoile, France) was used between January 2005 and December 2006. Antigen detection was performed according to the manufacturer's instructions. Fractions of ELISA-positive samples obtained in the period from 2001 to 2004 and from all samples obtained in 2005 and 2006 were frozen at -20°C and then transported in dry ice from the national hospital to the HJSM for further analysis by omp A PCR.
Cell culture
Confluent cultures of LLC-MK2 cells (kindly provided by Sezione di Microbiologia DMCSS, Universitá degli Studi di Bologna, Bologna, Italy), grown at 37°C and 5% CO2 in culture media (minimum essential medium (MEM, Gibco), supplemented with 10% foetal calf serum (FCS, PAA Lab. GmbH, Austria), 0.1 mM non-essential amino acids (Gibco), 50 mg/L gentamicin, and 2 mM glutamine) were inoculated in duplicate with 500 μl of the 2SP sample suspension, and centrifuged at 700 g for 1 hour at 30°C. After a 72-hour incubation, one of each duplicate was methanol-fixed and stained with a genus-specific fluorescein-conjugated monoclonal antibody (Merifluor Chlamydia, Meridian Diagnostics Inc. Cincinnati, Ohio), following the manufacturer's instructions [20].
OmpA PCR
The omp A gene of C. trachomatis was amplified using the methodology describe by Lan et al. [21]. Briefly, an approximately 1 kb fragment of the omp A gene was amplified using primers SERO1A (5'-ATG AAA AAA CTC TTG AAA TCG G-3') and SERO2A, (5'-TTT CTA GAT CTT CAT TCT TGT T-3'). The reaction was performed in a final volume of 50 μl containing 1.5 mM MgCl2, 0.05 mM of each deoxynucleotide triphosphate, 0.32 μM of each primer, 2 U of Taq DNA polymerase (Invitrogen Corporation, Brazil), and 10 μl of clinical specimen.
Cycling conditions began with an initial 7 min denaturation step at 94°C, followed by 40 cycles of denaturation at 95°C for 1 min, annealing at 45°C for 3 min, and extension at 72°C for 3 min. An additional 7-min extension at 72°C was performed at the end of the 40 cycles.
DNA of C. trachomatis L2/BU/434, (kindly provided by Sezione di Microbiologia DMCSS, Università degli Studi di Bologna, Bologna, Italy) and mock-infected cells were included as positive and negative controls respectively.
Then, 1 μl of the first-round PCR product was used for the semi-nested PCR, which was performed with the same reagents and conditions except for the primers, which were SERO2A, and one nested primer: PCTM3, (PCTM3: 5'-TCC TTG CAA GCT CTG CCT GTG GGG AAT CCT-3'). The PCR products of the second round were checked for correctness on ethidium-bromide stained 1.5% agarose gels. Positive results were routinely subjected to RFLP analysis, to determine the genotype and verify the absence of contamination with positive controls or cross-sample carry-over.
This semi-nested PCR was able to detect 1 to 10 inclusion-forming units in our laboratory conditions.
RFLP genotyping
RFLP analysis of PCR-positive samples was carried out as described by Sayada et al. [22], using the semi-nested PCR product of approximately 1-Kbp. Briefly, 10 μl of the nested PCR product was digested with 2.5 U of Alu I (Promega, Madison, WI). Depending on the Alu I pattern, amplified samples were analyzed, if necessary, with Hinf I, Dde I or Eco RI (Promega, Madison, WI), according to the manufacturer's instructions.
Genotypes were identified by their restriction patterns on ethidium bromide stained 12% polyacrylamide gel electrophoresis.
Genotypes identified by RFLP from samples obtained between January 2005 and December 2006 were sent to omp A sequencing for verification, using the procedure of Jonsdottir et al [23].
Statistical analysis
Epi Info version 2000 software (Center for Disease Control and Prevention, Atlanta, GA) was used to assess differences by application of the chi-square and exact binomial methods. Values of p ≤ 0.05 were considered statistically significant.
Results
A total of 199 positive samples for C. trachomatis were collected from newborn babies and symptomatic adult patients attending the HJSM and HNAP between 2001 and 2006 (76 conjunctival sawbs, 42 male urethral scrapes and 81 cervical scrapes).
Over the 76 omp A positive samples detected among neonates, the genotypes identified and their distribution order were as follows: E (72.4%), G (9.2%), D (7.9%), F (5.3%), K (2.6%), H (1.3%) and I (1.3%).
Among the 81 positive endocervical swabs, the following genotypes were identified: E (46.9%), D (21.0%), F (16.1%), I (4.9%), K (4.9%), G (2.5%), Ja (2.5%) and H (1.2%). There was one mixed infection detected in an endocervical sample containing genotypes E and F.
The genotype distribution among male urethral samples was: E (45.2%), D (16.8%), F (11.9%), G (9.5%), I (9.5%), and K (7.1%).
Neither genotypes A, B or C, nor L1 to L3 were detected in this study. The genotype distribution found in the two categories of examined samples, i.e. genital and ocular is given in Figure 1.
Figure 1
Genotype distribution among 42 male urogenital samples, 81 female urogenital samples and 76 neonatal conjunctival samples.
No significant differences on genotype distribution were found, neither between the two temporary subgroups from HNAP nor between the two hospitals. There were no significant differences between genders among genital genotypes (data not shown).
Altogether, the most frequently detected genotype was E, regardless of the sample's origin, but its frequency turned out to be significantly higher in neonatal ocular samples (p = 0.00056, OR = 3.03 (1.57<OR<5.90)) than in genital samples. Genotype D was negatively associated with ocular localization (p < 0.05, OR = 0.35 (0.11<OR<0.95)). The association of genotypes with ocular or genital disease are summarized respectively in Table 1.
Table 1
C. trachomatis genotype distribution according to sample origin.
Type of sample
Genotype detected
Neonatal conjunctivala
n (%)
Adult urogenitalb
n (%)
P value
B Complex
D
6 (7.9)
24 (19.5)
0.043
E
55 (72.4)
57 (46.3)
0.00056
Intermediate Group
F
4 (5.3)
18 (14.6)
0.069
G
7 (9.2)
6 (4.9)
0.36
C Complex
H
1 (1.3)
1 (0.8)
0.69
I
1 (1.3)
8 (6.5)
0.17
Ja
0
2 (1.6)
0.53
K
2 (2.6)
7 (5.7)
0.51
a76 neonatal conjunctival swabs.
b42 male urethral swabs, and 81 endocervical swabs. The distribution by gender is given in Figure 1.
Discussion
In the present study we investigated the distribution of genotypes of C. trachomatis, which were obtained from newborn babies with ophthalmia neonatorum and symptomatic adult patients in a six-year period in two hospitals in Buenos Aires, Argentina.
Among symptomatic adults, genotypes E (45.2% in men and 46.9% in women), D (16.7% and 21.0%, respectively), and F (11.9% and 16.1%, respectively) were the most common ones, while H and Ja were rare. We found one mixed infection (0.5%) during this study, and this suggests a low prevalence of mixed infections in our population which is in agreement with the findings of Jonsdottir et al. [23], who detected 1% of mixed infections. The genotype distribution that we report in symptomatic adult patients was similar to previously reported ones [23, 24], but different from that reported by other researchers where they found that genotype E was the most prevalent followed by F and D [25, 26]. A limitation of the present study is that most of the samples were typed by RFLP and not omp A sequencing, so no distinction between D, Da and D variants was done. Although genotype D in our study is more prevalent than F, this could be the result from the fact that D also involves Da and D variant strains.
The high percentage of genotype E (72.4%) among neonatal ocular samples is in agreement with our previous report, where we found a predominance of this genotype in samples from newborn babies with neonatal conjunctivitis [17]. Even though these findings could be due to the genital predominance of genotype E, this fact might not be the only explanation of the higher detection rate of this genotype in neonatal conjunctivitis.
In principle, our findings could be biased by the utilization of an ELISA assay as the only diagnostic test used at the HNAP from 2001 to 2004, which could have resulted in false negative findings in a substantial portion of the samples studied. However, even when all samples from the HJSM were studied both by culture and a sensitive PCR, we did not find significant differences on the genotype distribution among adults between both hospitals. Moreover, all samples from the HNAP collected from 2005 to 2006 were tested by ELISA and omp A PCR, and we did not find significant differences in genotype distribution compared with the one obtained for the 2001-2004 period. Hence, Gomes et al. [27] have shown that there is no association between genotype and chlamydial load at the infection site in genital specimens, which also supports the notion that the sensitivity of ELISA did not biased the genotype distribution. Another possible limitation of this study is that we only studied adult symptomatic patients and newborn babies with clinical signs of conjunctivitis, which could have biased our results. However other study findings in asymptomatic population have found frequencies of genotype E similar to ours [25].
We hypothesize that some kind of selective pressure could explain the high frequency of genotype E in neonatal conjunctivitis. On the one hand, it may be reflecting the difference in the immune status between neonates and adults. This is supported by the fact that there is a difference in the distribution of genital genotypes correlated with the patients' age and with a predominance of genotype E in adolescents [26], whereas there is an equal correlation in the distribution of C. trachomatis genotypes between urogenital and adult conjunctivitis eye samples [28, 29]. On the other hand, C. trachomatis genotype E could have an enhanced capability of infecting the conjunctival mucosa of neonates as compared to other genotypes or a differential mother-child transmission dynamic over other genotypes. This idea is supported by the negative association of genotype D with ophthalmia neonatorum, given that this serovar is the second most frequent one in our adult female population but the third one in neonatal ocular samples. In order to confirm this negative association, the distinction between D, Da and D variants would be necessary.
It is possible that the higher frequency of genotype E could be due to distinctive characteristic of some strains of this genotype. The analysis of portions of the C. trachomatis genome which are rich in SNPs (single nucleotide polymorphisms) [30], as well as the application of new typing schemes based on sequencing a number of C. trachomatis variable genes (MLST) [11] may provide a better understanding of this phenomenon. Furthermore, an assessment of specific immunity in different age groups and in vitro studies of infectivity and citotoxicity of different genotypes in conjunctival cell lines may also help to clarify our hypothesis.
Conclusions
This study confirmed an increased frequency of genotype E in neonatal ocular samples. The present study also contributed to increase the knowledge on genotype distribution of C. trachomatis in adult symptomatic patients that attended two public hospitals in Buenos Aires city, Argentina, in which genotypes E, D and F were the predominant ones. This genotype distribution constitutes one of the few reports of this kind in Latin America.
Declarations
Acknowledgements
The authors thank Susana Di Bartolomeo for critical input to the development of this project, and Osvaldo Degregorio for expert assistance with the statistical analysis. This work was supported by grants B078, B049 and B0810 from UBACyT, University of Buenos Aires, Argentina.
Authors’ Affiliations
(1)
Inmunología Clínica, Departamento de Bioquímica Clínica, Facultad de Farmacia y Bioquímica,Universidad de Buenos Aires
(2)
Unidad de Estudios de Chlamydia y otras Infecciones del Tracto Genital, INFIBIOC - Instituto de Fisiopatología y Bioquímica Clínica, Universidad de Buenos Aires
(3)
Cátedra de Microbiología, Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires
References
World Health Organisation: Global prevalence and incidence of selected curable Sexually Transmitted Infections: overview and estimates. 2001, Geneva: WHOGoogle Scholar
Honey E, Augood C, Templeton A, Russell I, Paavonen J, Mårdh PA, Stary A, Stray-Pedersen B: Cost effectiveness of screening for Chlamydia trachomatis: a review of published studies. Sex Transm Infect. 2002, 78: 406-412. 10.1136/sti.78.6.406.PubMed CentralPubMedView ArticleGoogle Scholar
Morré SA, Brule van den AJ, Rozendaal L, Boeke AJ, Voorhorst FJ, de Blok S, Meijer CJ: The natural course of asymptomatic Chlamydia trachomatis infections: 45% clearance and no development of clinical PID after one-year follow-up. Int J STD AIDS. 2002, 13 (2): 12-8. 10.1258/095646202762226092.PubMedView ArticleGoogle Scholar
Schachter J, Grossman M, Sweet RL, Holt J, Jordan C, Bishop E: Prospective study of perinatal transmission of Chlamydia trachomatis. JAMA. 1986, 55: 3374-3377. 10.1001/jama.255.24.3374.View ArticleGoogle Scholar
Rosenman MB, Mahon BE, Downs SM, Kleiman MB: Oral erythromycin prophylaxis vs watchful waiting in caring for newborns exposed to Chlamydia trachomatis. Arch Pediatr Adolesc Med. 2003, 157 (6): 565-71. 10.1001/archpedi.157.6.565.PubMedView ArticleGoogle Scholar
Valencia C, Prado V, Rios M, Cruz MA, Pilorget JJ: Prevalence of the Chlamydia trachomatis in neonatal conjunctivitis determination by indirect fluorescente and gene amplification. Rev Med Chil. 2000, 128 (7): 758-65.PubMedView ArticleGoogle Scholar
Olatunji FO: A case control study of ophthalmia neonatorum in Kaduna II: causative agents and their antibiotic sensitivity. West Afr J Med. 2004, 23 (3): 215-20.PubMedGoogle Scholar
Di Bartolomeo S, Mirta DH, Janer M, Rodríguez Fermepin MR, Sauka D, Magariños F, de Torres RA: Incidence of Chlamydia trachomatis and other potential pathogens in neonatal conjunctivitis. Int J Infect Dis. 2001, 5 (3): 139-43. 10.1016/S1201-9712(01)90088-8.PubMedView ArticleGoogle Scholar
Rodriguez P, B de Barbeyac K, Persson K, Dutilh B, Bebear C: Evaluation of molecular typing for epidemiological study of Chlamydia trachomatis genital infections. J Clin Microbiol. 1993, 31: 2238-2240.PubMed CentralPubMedGoogle Scholar
Pannekoek Y, Morelli G, Kusecek B, Morré SA, Ossewaarde JM, Langerak AA, Ende van der A: Multi locus sequence typing of Chlamydiales: clonal groupings within the obligate intracellular bacteria Chlamydia trachomatis. BMC Microbiol. 2008, 28;8: 42-10.1186/1471-2180-8-42.View ArticleGoogle Scholar
Isenberg SJ, Apt L, Del Signore M, Gichuhi S, Berman NG: A double application approach to ophthalmia neonatorum prophylaxis. Br J Ophthalmol. 2003, 87: 1449-52. 10.1136/bjo.87.12.1449.PubMed CentralPubMedView ArticleGoogle Scholar
Krohn MA, Hillier SL, Bell TA, Kronmal RA, Grayston JT: The bacterial ethiology of conjunctivitis in early infancy. Eye Prophylaxis Study Group. Am J Epidemiol. 1993, 138 (5): 326-32.PubMedGoogle Scholar
Chang K, Cheng VYW, Kwong NS: Neonatal haemorrhagic conjunctivitis: a specific sign of chlamydial infection. Hong Kong Med J. 2006, 12 (1): 27-32.PubMedGoogle Scholar
Datta P, Frost E, Peeling R, Masinde S, Deslandes S, Echelu C, Wamola I, Brunham RC: Ophthalmia neonatorum in a trachoma endemic area. Sex Transm Dis. 1994, 21: 1-4.PubMedView ArticleGoogle Scholar
Fermepin MR, Entrocassi AC, Sauka DH, Vaulet ML, Corominas AI: Chlamydia trachomatis serovars in Buenos Aires, Argentina: predominance of serovar E in ophthalmia neonatorum. Sex Transm Dis. 2007, 34 (12): 1041-10.1097/OLQ.0b013e31815c1bf1.PubMedView ArticleGoogle Scholar
Van Duynhoven YT, Ossewaarde JM, Derksen-Nawrocki RP, Meijden van der WI, Laar van de MJ: Chlamydia trachomatis genotypes: correlation with clinical manifestations of infection and patients' characteristics. Clin Infect Dis. 1998, 26 (2): 314-22. 10.1086/516291.PubMedView ArticleGoogle Scholar
Geisler WM, Suchland RJ, Whittington WL, Stamm WE: The relationship of serovar to clinical manifestations of urogenital Chlamydia trachomatis infection. Sex Transm Dis. 2003, 30 (2): 160-5. 10.1097/00007435-200302000-00013.PubMedView ArticleGoogle Scholar
ASM Press, Warford A, Chernesky M, Peterson EM, Gleaves CA: Laboratory Diagnosis of Chlamydia trachomatis Infections. Cumulative Techniques and Procedures in Clinical Microbiology. 1999, ASM PressGoogle Scholar
Lan J, Walboomers JMM, Roosendaal R, van Doornum GJ, MacLaren DM, Meijer CJ, Brule van den AJ: Direct Detection and Genotyping of Chlamydia trachomatis in Cervical Scrapes by Using Polymerase Chain Reaction and Restriction Fragment Length Polymorphism Analysis. J Clin Micriobiol. 1993, 31 (5): 1060-1065.Google Scholar
Sayada C, Denamur E, Orfila J, Catalan F, Elion J: Rapid genotyping of the Chlamydia trachomatis major outer membrane protein by the polymerase chain reaction. FEMS Microbiol Lett. 1991, 15;67 (1): 73-8. 10.1111/j.1574-6968.1991.tb04392.x.View ArticleGoogle Scholar
Jonsdottir K, Kristjansson M, Hjaltalin Olafsson J, Steingrímsson O: The molecular epidemiology of genital Chlamydia trachomatis in the greater Reykjavik area, Iceland. Sex Transm Dis. 2003, 30 (3): 249-56. 10.1097/00007435-200303000-00015.PubMedView ArticleGoogle Scholar
Lan J, Meijer CJ, Hoek van den AR, Ossewaarde JM, Walboomers JM, Brule van den AJ: Genotyping of Chlamydia trachomatis serovars derived from heterosexual partners and a detailed genomic analysis of serovar F. Genitourin Med. 1995, 71 (5): 299-303.PubMed CentralPubMedGoogle Scholar
Morré SA, Rozendaal L, van Valkengoed IG, Boeke AJ, van Voorst Vader PC, Schirm J, de Blok S, Hoek van Den JA, van Doornum GJ, Meijer CJ, Brule van Den AJ: Urogenital Chlamydia trachomatis serovars in men and women with a symptomatic or asymptomatic infection: an association with clinical manifestations?. J Clin Microbiol. 2000, 38 (6): 2292-6.PubMed CentralPubMedGoogle Scholar
Suchland RJ, Eckert LO, Hawes SE, Stamm WE: Longitudinal assessment of infecting serovars of Chlamydia trachomatis in Seattle public health clinics: 1988-1996. Sex Transm Dis. 2003, 30 (4): 357-61. 10.1097/00007435-200304000-00016.PubMedView ArticleGoogle Scholar
Gomes JP, Borrego MJ, Atik B, Santo I, Azevedo J, Brito de Sá A, Nogueira P, Dean D: Correlating Chlamydia trachomatis infectious load with urogenital ecological success and disease pathogenesis. Microbes Infect. 2006, 8 (1): 16-26. 10.1016/j.micinf.2005.05.014.PubMedView ArticleGoogle Scholar
Isobe K, Aoki K, Itoh N, Ohno S, Takashima I, Hashimoto N: Serotyping of Chlamydia trachomatis from inclusion conjunctivitis by polymerase chain reaction and restriction fragment length polymorphism analysis. Jpn J Ophthalmol. 1996, 40 (2): 279-85.PubMedGoogle Scholar
Garland SM, Malatt A, Tabrizi S, Grando D, Lees MI, Andrew JH, Taylor HR: Chlamydia trachomatis conjunctivitis. Prevalence and association with genital tract infection. Med J Aust. 1995, 3;162 (7): 363-6.Google Scholar
Nunes A, Nogueira PJ, Borrego MJ, Gomes JP: Chlamydia trachomatis diversity viewed as a tissue-specific coevolutionary arms race. Genome Biol. 2008, 23;9 (10): R153-10.1186/gb-2008-9-10-r153.View ArticleGoogle Scholar
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