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Prevalence and circulant genotypes of Chlamydia trachomatis in university women from cities in the Brazilian Amazon

  • Leonardo Miranda dos Santos ,

    Contributed equally to this work with: Leonardo Miranda dos Santos, Edna Aoba Yassui Ishikawa, Maísa Silva de Sousa

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Supervision, Validation, Visualization, Writing – original draft

    leonn_bio20@yahoo.com.br

    Affiliation Tropical Medicine Center, Federal University of Pará, Belém, Pará, Brazil

  • Maria Renata Mendonça dos Santos Vieira ,

    Roles Investigation, Methodology

    ‡ MRMSV, RCV, LBLS, GMMM, AEM, DMB, RJPSG, ECSJ, SFF and HHCP also contributed equally to this work.

    Affiliation Institute of Biological Sciences, Federal University of Pará, Belém, Pará, Brazil

  • Rodrigo Covre Vieira ,

    Roles Investigation, Methodology

    ‡ MRMSV, RCV, LBLS, GMMM, AEM, DMB, RJPSG, ECSJ, SFF and HHCP also contributed equally to this work.

    Affiliation Tropical Medicine Center, Federal University of Pará, Belém, Pará, Brazil

  • Lídia Bolivar da Luz Silva ,

    Roles Methodology

    ‡ MRMSV, RCV, LBLS, GMMM, AEM, DMB, RJPSG, ECSJ, SFF and HHCP also contributed equally to this work.

    Affiliation Tropical Medicine Center, Federal University of Pará, Belém, Pará, Brazil

  • Geraldo Mariano Moraes de Macêdo ,

    Roles Formal analysis

    ‡ MRMSV, RCV, LBLS, GMMM, AEM, DMB, RJPSG, ECSJ, SFF and HHCP also contributed equally to this work.

    Affiliation Tropical Medicine Center, Federal University of Pará, Belém, Pará, Brazil

  • Angélica Espinosa Miranda ,

    Roles Conceptualization, Formal analysis

    ‡ MRMSV, RCV, LBLS, GMMM, AEM, DMB, RJPSG, ECSJ, SFF and HHCP also contributed equally to this work.

    Affiliation Department of Social Medicine, Health Sciences Center, Federal University of Espirito Santo, Vitória, Espirito Santo, Brazil

  • Danielle Murici Brasiliense ,

    Roles Formal analysis, Investigation

    ‡ MRMSV, RCV, LBLS, GMMM, AEM, DMB, RJPSG, ECSJ, SFF and HHCP also contributed equally to this work.

    Affiliation Section of Bacteriology and Mycology, Evandro Chagas Institute, Ananindeua, Pará, Brazil

  • Ricardo José de Paula Souza e Guimarães,

    Roles Formal analysis

    Affiliation Geoprocessing Laboratory, Instituto Evandro Chagas, Ananindeua, Pará, Brazil

  • Edivaldo Costa Sousa Junior ,

    Roles Data curation, Formal analysis, Investigation

    ‡ MRMSV, RCV, LBLS, GMMM, AEM, DMB, RJPSG, ECSJ, SFF and HHCP also contributed equally to this work.

    Affiliation Parasitology Section, Instituto Evandro Chagas, Ananindeua, Pará, Brazil

  • Stephen Francis Ferrari ,

    Roles Conceptualization, Data curation

    ‡ MRMSV, RCV, LBLS, GMMM, AEM, DMB, RJPSG, ECSJ, SFF and HHCP also contributed equally to this work.

    Affiliation Department of Ecology, Federal University of Sergipe, São Cristóvão, Brazil

  • Helder Henrique Costa Pinheiro ,

    Roles Data curation

    ‡ MRMSV, RCV, LBLS, GMMM, AEM, DMB, RJPSG, ECSJ, SFF and HHCP also contributed equally to this work.

    Affiliation Institute of Biological Sciences, Federal University of Pará, Belém, Pará, Brazil

  • Edna Aoba Yassui Ishikawa ,

    Contributed equally to this work with: Leonardo Miranda dos Santos, Edna Aoba Yassui Ishikawa, Maísa Silva de Sousa

    Roles Supervision

    Affiliation Tropical Medicine Center, Federal University of Pará, Belém, Pará, Brazil

  • Maísa Silva de Sousa

    Contributed equally to this work with: Leonardo Miranda dos Santos, Edna Aoba Yassui Ishikawa, Maísa Silva de Sousa

    Roles Project administration, Supervision, Validation

    Affiliation Tropical Medicine Center, Federal University of Pará, Belém, Pará, Brazil

Abstract

Background

Approximately 80% of infected women infected by Chlamydia trachomatis are asymptomatic, although this infection can lead to serious complications in the female reproductive tract. Few data on Chlamydia infection and genotypes are available in Amazonian communities.

Objectives

To describe the prevalence of and associated factors and to identify the genotypes of sexual C. trachomatis infection in female university students in different urban centers (capital and interiors) in the Brazilian state of Pará, in the eastern Amazon region.

Methods

A cross-sectional study was performed among young women attending public universities in four different urban centers in the eastern Amazon region. They were invited to participate in the studt and cervical secretions were collected for molecular diagnosis of C. trachomatis. We utilized amplification of the ompA gene by nested PCR. Positive samples were genotyped by nucleotide sequencing. Study participants completed a questionnaire on social, epidemiological, and reproductive health variables. A Qui-square and Binominal regression test were used to evaluate the degree of association of these variables with the infection.

Results

A total of 686 female students was included in the study. The overall prevalence of C. trachomatis was 11.2% (77/686). The prevalence of this infection was higher in interiors (15.2% vs 9.5%/ p: 0.0443). Female university students who do not have a sexual partner (11.8%/p <0.008), who do not use a condom in their sexual relations (17.8%/p <0.0001) and who reported having suffered a miscarriage (32%/p <0.0001) have high chances of acquiring this sexual infection. The ompA gene was sequenced in only 33 (42.8%) samples, revealing the genotype J was the most frequent (27.2% [9/33]), followed by genotypes D (24.2% [8/33]), and then genotypes F (18.2% [6/33]), E (15.1% [5/33]) K (6.1% [2/33]), Ia (6.1% [2/33]), and G (3.1% [1/33]).

Conclusions

The high prevalence of sexual infection by C. trachomatis in the female university students from the interior of the state of Pará, individuals with no fixed sexual partner, those that had had a miscarriage, the students that do not use condoms in their sexual relations. The genotype J of C. trachomatis genotypes was the most frequent. These data are important to help defining the epidemiological effects of chlamydial infections in Amazonian populations.

Introduction

The Chlamydia trachomatis is the most reported sexually transmitted bacterial infection (STI) in the world, remains annually with high infection rates in the United States [1] Europe [2] Africa, and Latin America, including during the period of social isolation of the disease pandemic of 2019 Coronavirus (COVID-19) [15]. The analysis of the genetic variability profile of the four variable domains of the ompA gene is standard for classifying the 19 genotypes of C. trachomatis [6]. Genotypes A, B, Ba, and C are related to trachoma [79], while genotypes L1, L2, L2a, and L3 are related to lymphogranuloma venereum [1012]. Genotypes D, Da, E, F, G, Ga, H, I, Ia, J, and K are frequently associated with non-invasive genital infections. In women, 19.7% of that infected progress to a fibrous infectious-inflammatory syndrome known as Pelvic Inflammatory Disease (PID). PID is responsible for 30% of cases of infertility due to tubal factors and 50% of cases of ectopic pregnancies due to tubal occlusion, in addition to being associated with premature birth and spontaneous abortion [1321].

In Brazil, the absence of a monitoring program contributes to the unawareness of this silent epidemic and its recurrent damages, however, the annual number of hospitalizations of women with PID is over 45,000, however, other factors may be aggravating this situation in the female population living in geographic regions far from the capital in the Amazon, such as the difficulty in accessing specialized health systems, such as specific tests for Polymerase Chain Reaction (PCR), ELISA, resonances between others, as well as lack easy access to treatment regimens and hospitalizations in PID episodes [22]. The studies have reported prevalence of 4% to 20.5% in both asymptomatic women [2331] and those seeking gynecological treatment [3234]. The few available studies about genotyping for Brazil have recorded predominant frequencies of genotypes D, E and F of C. trachomatis, however, this is insufficient to understand what this infection behaves like in Brazil [28, 33].

The female university students is a young female population of reproductive age that often engages in risky sexual behavior, furthermore, that population group in the Brazilian Amazon face a scenario of social vulnerability, in particular remote communities in the deep interior, as they do not have access to the gold-standard laboratory diagnosis for the screening of this asymptomatic infection and thus, prevention of possible late reproductive sequelae [3542]. The knowledge of the prevalence and circulating genotypes of C. trachomatis in Amazonian populations can help to understand the epidemiology of this infection and planning prevention strategies focused on these young women. Thus, here, we describe the prevalence of and the associated factors and to identify C. trachomatis genotypes in university women living in four large urban centers in the Brazilian state of Pará, in the Brazilian Amazon region.

Methods

Data collection

The present study, based on a cross-sectional, analytical approach, lasted from February to December 2019. The study involved female students (n = 686) attending different campus from a public university in the Brazilian state of Pará, including 482 students from the state capital, Belém (the capital of the Brazilian state of Pará has a total area: 1,059.466 km2, with a total population of 1,499,641 in habitants and a demographic density of 1,315.26 in hab/km2, municipal human development index of 0,746) and 204 from campi in three other urban centers in the interior of the state (Altamira [interior, territorial area of 159,533.306 km2, estimated population of 117,320 people and a demographic density of 0.62 in hab/km2, municipal human development index of 0,665], Bragança [interior 2, territorial area of 2,124.734 km2, estimated population of 130,122 people and a demographic density of 54,13 in hab/km2, municipal human development index of 0,600], and Castanhal [interior 3, territorial area of 1,029,300 km2, estimated population of 205,667 people and a demographic density of 168.29 in hab/km2, municipal human development index of 0,673]). All the individuals were invited to participate in the study. Prior contact with the students was supported by collaborators on each university campus, and local radio stations announced the dates and places of sample collection. The exclusion criteria were pregnancy, menstruation, and either not wishing to participate in the study or not signing the informed consent form. The participants were required to fill in a questionnaire and were informed about the importance of providing reliable answers, in order to minimize possible biases in the study. The specific variables investigated in the present study were: age, conjugal status, household income (in multiples of the Brazilian minimum wage), use of tobacco, consumption of alcoholic beverages, age at fist sexual intercourse, lifetime number of sexual partners, current relationship, use of condoms, history of miscarriage, and gynecological disorders. Cervical secretions were collected during routine pelvic examinations using an endocervical brush, and the samples were stored in cryogenic tubes containing 1 ml Tris-EDTA buffer [10 mM Tris-HCl pH 8.5; 1 mM EDTA] at a temperature of -20°C prior to testing.

Extraction of the DNA

The DNA was extracted using a pureLink Genomic DNA Purification kit (Invitrogen, Carlsbad, CA, USA) according to the manufacturer’s instructions and stored at -20°C until analysis. A Polymerase Chain Reaction (PCR) of the human β-globin gene was conducted prior to the detection of C. trachomatis, in order to confirm the suitability of the samples.

Detection of the ompA gene of C. trachomatis

The C. trachomatis DNA sequence was amplified using a nested PCR protocol modified by Jalal et al. (2007) [43], which produced a sequence of 394 base pairs (bps) of the ompA gene of C. trachomatis. The first reaction used 6.0 μL of GoTaq Green Master mix (Promega, Madison, WI, USA), 0.5 μL (20 pmol/μL of each primer) of the primers P1 (A) (5'GACTTTGTTTTCGACCGTGTT-3 ') and P2 (5'AGCRTATTGGAAAGAAGCBCCTAA-3 '), 2 μL of the genomic DNA, and 3 μL of sterile water for a final volume of 12 μL. The second reaction used 0.5 μL of the solution of the first reaction, 6.0 μL of Go Taq Green Master mix (Promega, Madison, WI, USA), 4.5 μL of sterile water, and 0.5 μL (20 pmol/μL) of the primers P3 (5'-AAACWGATGTGAATAAAGARTT-3′) and P4 (5'-TCCCASARAGCTGCDCGAGC-3′). In both steps of the nested PCR, negative and positive controls were used to optimize the results. Initial activation was conducted at 95°C in both stages of the PCR, but whereas this temperature was maintained for 5 minutes in the first stage, it was maintained for only 1 minute in the second stage. This activation was followed by 35 cycles of denaturation at 94°C for 40 s, annealing at 54°C for 30s, and extension at 72°C for 90 s, with a final extension step at 72°C for 7 min. The amplified products were visualized by electrophoresis in 1% agarose gel with 0.5 mg/mL of ethidium bromide.

DNA sequencing

The Sanger method of nucleotide sequencing was used. An approximately 990bp fragment of the ompA gene was amplified by nested PCR using primers P1(B) (5′-ATGAAAAAACTCTTGAAATCGG-3′) and OMP2 (5′-ACTGTAACTGCGTATTTGTCTG-3′), and whenever re-amplification was necessary, the inner primers MOMP87 (5′-TGA ACC AAG CCT TAT GAT CGA CGG A-3′) and RVS1059 (5′-GCA ATA CCG CAA GAT TTT CTA GAT TTC ATC-3′) were used [44]. The first step of the nested PCR was run in a 0.5 μL volume containing 20 pmol/ μL of each primer P1(B) and OMP2 and 5.0 μL of the DNA extracted from the endocervical secretion, 14 μL of sterile water, 1.0 μL of MgCl2, 1.0 μL deoxynucleoside triphosphate (10mM), 2.5 μL of 10x buffer, and 0.5 μL of Hotstar Taq DNA Polymerase 1.5U (Qiagen). Amplification was run in a final reaction volume of 25 μl [44]. In the two steps of nested PCR a negative and a positive control was used to optimize the result, but these controls were not used in the sequencing.

In the initial step of the nested PCR, amplification conditions were 95°C for 5 min, followed by 40 cycles of 94°C for 30 s, 55°C for 30 s, and 72°C for 90 s, and a final extension at 72°C for 7 min. In the nested PCR, the MOMP87-RVS 1059 primer pair was used with 1.5 μl of the product of the first stage of the nested PCR, which was added to a final volume of 25 μl. The conditions of the second step of the nested PCR were the same as those described above, except for the annealing temperature which was 60°C, and the addition of 17.5 μl of sterile water [44].

The amplified products were visualized by ethidium bromide (0.5 mg/mL) staining after electrophoresis in 1% agarose gel. The products obtained by the nested PCR were purified using a BigDye Xterminator Purification kit (Applied Biosystems, Foster City, CA, USA) to sequence both strands. A BigDyeTerminator Cycle kit (Foster City, CA, USA) was used for the sequencing reaction, according to the manufacturer’s instructions. The reaction mixtures were sequenced in an ABI 3130 (Applied Biosystems, Foster City, CA, USA).

Genotyping

The sequence obtained of ompA gene from the C. trachomatis was assembled using the CAP3 software, aligned with MAFFT v.7.221 and edited with the Geneious Bioinformatics suite v.8.1.7 and compared with sequences from other studies and available in the GenBank, from the BLAST program of the NCBI (National Center for Biotechnology Information Database) (https://www.ncbi.nlm.nih.gov/) which was also used to the deposit of the sequences obtained in this study. Phylogenetic analysis was performed using maximum likelihood (ML) analysis. Afterwards the phylogenetic reconstruction, also using the software. FastTree was performed using the 1000-replica non-parametric reliability test using the bootstraps method. Finally, the Evolview web server was used to edit the generated phylogenetic tree.

Ethics statement

This study is part of the project “Detection and genotyping of C. trachomatis in university students attended at the cytopathology laboratory / UFPA: cytological and molecular analysis”. All methods were performed in accordance with the relevant guidelines and regulations. Our research was authorized by the Research Ethics Committee of the Center of Tropical Medicine, at the Federal University of Pará (process number: 103,571). Only the Belém campus has cytopathology services within the university and the demand for these services is constant, while the countryside campuses do not have this service and it was necessary to make trips (one trip to each campus). The team for this project contacted the coordinators of the campuses in advance to notify the students about the arrival of the respective cytopathology services. As soon as the team arrived at the countryside campuses, new random invitations were made to students through oral invitation and distribution of informational folders. In all cases, capital and interior, only students who read and signed the TCLE were included in this study. All participants were legally over 18 years of age and informed in writing of their free and informed consent for their participation in the study in writing prior to the collection of samples and epidemiological data. All the data were analyzed with complete anonymity. The participants that tested positive for sexual infection by C. trachomatis were provided counseling and were referred for medical evaluation.

Statistical analysis

The data were analyzed using the Statistical Package for Social Sciences (SPSS) version 21.0 (SPSS, Chicago, Illinois). The Odds Ratio was used to verify the difference in the prevalence of this infection between the campi of the state capital and the other three urban centers. We pooled the individuals from these localities for the complementary analyses. The degree of association between the prevalence of sexual infection by C. trachomatis and the study variables were evaluated using Chi-square and Binominal Logistic regressions. The 95% confidence interval (CI) was calculated for these comparisons, and a p ≤ 0.05 significance level was considered for all analyses.

Results

A total of 686 university students accepted to participated in the present study. The median age was 25 years (interquartile range: 21.0–29.0 years; amplitude: 18–67 years). The median age of the individuals that tested positive for infection by C. trachomatis was 23 years (interquartile range: 21.0–29.0 years; amplitude: 18–51 years).

The overall prevalence of sexual infection caused by C. trachomatis in the study population was 11.2% (77/686; 95% CI: 8.9–13.6%). In Belém, however, the prevalence was lower than this general mean (9.5%), whereas it reached 15.2% on the three interior campi (Table 1).

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Table 1. Prevalence of sexual infection by C. trachomatis among university students in the capital and in the three countrys of the state of Pará, Brazil (n = 686).

https://doi.org/10.1371/journal.pone.0287119.t001

The bivariate analyses (Table 2) revealed that most of the variables examined did not play a determining (significant) role in the prevalence of sexual infection by C. trachomatis in the study population. While age was presumed to be a fundamental factor, for example, a slightly higher prevalence of infection (11.7%) was recorded in the older participants (> 25 years old) in comparison with the younger individuals (prevalence = 10.9%), although this difference was not statistically significant (X2: p < 0.05). The prevalence was also higher (but not significantly so) in married students in comparison with unmarried ones (14.8% vs. 10.7%), in students with a low household income (11.4% vs. 9.1% in high income households), in smokers (20.0% vs. 10.9% in non-smokers), in non-drinkers (12.1% vs. 10.7% in consumers of alcoholic beverages), in students with a precocious sex life (14.0% vs. 10.5% in individuals that initiated activity after 15 years of age), 12.6% (38/301) of those who reported having a current relationship, and in the students with no gynecological disorder (12.4% vs. 10.5% in individuals with a disorder). In two cases, however, a significant difference was found. The students that did not use condoms during sexual relations were very significantly (p < 0.0001) more prone to infection (17.8% vs. 2.0% in condom users), while those that had suffered a miscarriage were similarly more vulnerable to infection (p < 0.0001) than the participants that had never had a miscarriage (32.% vs. 8.5%).

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Table 2. Epidemiological characteristics of university students from four cities in the state of Pará, Amazon, Brazil (n = 686).

https://doi.org/10.1371/journal.pone.0287119.t002

The multivariate analyses (Table 2) indicate that the students that do not currently have a fixed sexual partner are more than twice as likely to acquire the infection (Odds Ratio [OR]: 2.1023; 95% Confidence Interval [CI]: 1.21412–3.6401; p = 0.008). Similarly, students that have suffered a miscarriage were almost six times more likely to contract sexual infection by C. trachomatis (OR: 5.7833; [CI95%]: 3.10330–10.7776; p < 0.001). However, not using condoms in sexual relations was associated with a 12-fold greater risk of acquiring the infection (OR: 12.1164; [CI95%]: 5.00761–29.3169; p < 0.001).

Only 33 (42.8%) of the DNA samples of the 77 positive C. trachomatis samples were of adequate quality for nucleotide sequencing. Overall (S1 Fig, Table 2), genotype J was the most frequent (27.2% [9/33]), followed by genotypes D (24.2% [8/33]), and then genotypes F (18.2% [6/33]), E (15.1%[5/33]) K (6.1% [2/33]), Ia (6.1% [2/33]), and G (3.1% [1/33]) (S1 Fig).

Most of the sequences amplified (66.6% [22/33]) were obtained from the samples collected on the Belém campus (S2 Fig, Table 2). The majority of the other sequences were from the Castanhal campus (24.2% [8/33), with only one sequences from Altamira (3%[1/33]) and two from Bragança (6%[2/33]) (S2 Fig, Table 3).

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Table 3. Distribution of the C. trachomatis genotypes recorded in the samples obtained from female university students on the four campi in Pará state, Brazil.

https://doi.org/10.1371/journal.pone.0287119.t003

Discussion

The results of this transversal analysis of sexual infection by C. trachomatis in female university students from four major cities in the Brazilian state of Pará, in the brazilian Amazonia, indicate a general prevalence of 11.2% that was comparable with that recorded in asymptomatic women [2331] and women seeking gynecological treatment [3234] of the other regions of Brazil. The prevalence was high in university students from the three campi in the interior of state of Pará.

We believe that what may have contributed to the higher probability of sexual infection by C. trachomatis to affect university students from the campuses of the three cities in the interior together (15.2% vs. 9.5% [OR: 1.69; 95% CI: 1.04–2.76, p = 0.0443]) is the greatest demand by these young people, who come from small villages and remote communities deprived of a higher education system [45, 46] and primary reproductive health care services, such as clinics and health units and community outreach services, which are services offered only at universities in the urban centers of this study [3537].

The multivariate analyses indicate that the students that do not have a fixed partner have double the chance of acquiring a C. trachomatis infection, while those that do not use condoms have a 12-fold greater chance of infection. We feel certain that the students that participated in the present study have some knowledge on the prevention of STI and the importance of using condoms, which they have been exposed to since elementary school [38, 47, 48]. Several factors may nevertheless contribute to a tendency for risk-taking behavior in these students, including their young age, exposure to novel social environments at university, and their propensity for new experiences, which may make them more likely to neglect the need for basic protective measures to ensure their sexual health [3942].

This scenario is not restricted to the Amazon region, given that similar sexual behavior has been observed in university students from other regions of Brazil [31, 48] and from other countries, around the world [4951]. Even so, as high rates of sexual infection by C. trachomatis are typical of the young populations of remote Amazonian communities [28, 34], it would seem reasonable to assume that the findings of the present study represent only the “tip of the iceberg” of the real epidemiological scenario of the infection in this region. We believe that the local scenario is aggravated by the lack of a systematic monitoring program, which would be necessary to prevent the eventual clinical consequences of this silent epidemic. This assumption is supported by the five times greater chance of infection in women who have suffered a miscarriage, which may be mainly a result of the lack of adequate diagnosis and preventive treatment for pregnant women [19, 21]. As Brazil has an excellent unified and decentralized public health system, we believe that the creation of a national program for the screening of sexual infection by C. trachomatis, integrated into the National Strategic Plan for STDs and AIDS in Brazil, will have a great positive impact on the public health of Brazilian populations, especially if it is aimed at young adults with sexual experience and who are of reproductive age below 24 years of age, since Brazilian studies on the prevalence of this infection indicate a strong association of C. trachomatis in young people in this age group-age. This will contribute to the identification of asymptomatic cases, which will lead to the formulation of prevention strategies to control and reduce recurrent reproductive harm, such as PID, spontaneous abortion and permanent infertility [2334, 52]. Sexual infection by C. trachomatis is a major concern for public health services worldwide. In European countries, the United States, Australia and Japan, official public screening programs have improved the potential for reliable case quantification and allowed public authorities to identify the epidemiological patterns (symptomatic and asymptomatic) of this infection and guide screening strategies, cost-effective treatment and prevention of recurrent late sequelae.

The hospitalization rates and treatment for tubal pathology of infectious origin caused by C. trachomatis have decreased. There are few Brazilian studies that identify circulating genotypes of C. trachomatis, however, we recorded considerable variability in the C. trachomatis genotypes identified in the present study and, overall, similar results have been obtained in other Brazilian studies [28, 33, 5055] The D-K genotypes of C. trachomatis does not appear to have any specific distribution pattern or differences in the pathogenicity of their infections, which may be why the genotype frequencies recorded here were similar to those of other populations, around the world [5659]. The predominance of the D, E, F and J genotypes in genital C. trachomatis infections may be related to their adaptive capacity in relation to the immunological system of the infected individual, which may also reflect an increased capacity for transmission [60, 61]. Somebody female Amazonian populations is distributed in remote communities that are poorly or irregularly served by public health programs both from the capital and from the interior have precarious social, economic, epidemiological and of displacement conditions, which contribute to the exposure of the resident female populations to STI, which is reinforced by the generally inadequate public health services, situation of geographic isolation and low medical technology, which contribute to the spread of infections by C. trachomatis [22, 37]. We faced many challenges during the development of the present study, in particular the logistics of sampling relatively remote localities in the interior of the state, which may have often compromised the quality of the biological material. While this limited our capacity to obtain sequences of the ompA gene, the findings were broadly consistent with the existing data.

Conclusions

The results of the analysis of sexual infection by C. trachomatis in female university students from the Brazilian state of Pará indicated a higher prevalence of infection in students from the interior of the state, in comparison with the capital, individuals with no fixed sexual partner, those that had had a miscarriage, and, principally, the students that do not use condoms in their sexual relations. The genotype J of the C. trachomatis was the most frequent. These data are important to help defining the epidemiological effects of chlamydial infections in Amazonian populations.

Supporting information

S1 Fig. Results of the phylogenetic analysis of the ompA gene sequences of C. trachomatis detected in the endocervical samples of women from university women from four cities in the State of Pará, Amazonia, Brazil.

The samples analyzed in the present study are shown in red, and all others were obtained from GenBank (https://www.ncbi.nlm.nih.gov/genbank).

https://doi.org/10.1371/journal.pone.0287119.s001

(TIF)

S2 Fig. Prevalence of C. trachomatis genotypes originating from endocervical samples of university students from the four municipalities of the state of Pará, Amazonia, Brazil.

https://doi.org/10.1371/journal.pone.0287119.s002

(TIF)

S1 Table. Accession number of the nucleotide sequences of the C. trachomatis ompA gene identified in this study.

(Available at https://www.ncbi.nlm.nih.gov/genbank/).

https://doi.org/10.1371/journal.pone.0287119.s003

(DOCX)

Acknowledgments

We thank the Pro-Rectory of Extension, Federal University of Pará.

References

  1. 1. Center for Disease Control and Prevention. Sexually Transminted Diseases. Sexually Transmitted Infections Prevalence, Incidence, and Cost Estimates in the United States. Disponible https://www.cdc.gov/std/chlamydia/default.htm
  2. 2. European Centre for Disease Prevention and Control. Chlamydia infection. Disponible https://www.ecdc.europa.eu/en/chlamydia-infection
  3. 3. Huai P, Li F, Chu T, Liu D, Liu J, Zhang F. Prevalence of genital Chlamydia trachomatis infection in the general population: a meta-analysis. BMC Infect Dis. 2020 Aug 8;20(1):589. pmid:32770958
  4. 4. García LM, Domínguez MR, Lejarraga C, Jiménez MCR, Alba JMG, Puerta T, et al. The silent epidemic of lymphogranuloma venereum inside the COVID-19 pandemic in Madrid, Spain, March 2020 to February 2021 Euro SurveilL. 2021 May;26(18):2100422. pmid:33960288
  5. 5. Jenness SM, Guillou AL, Chandra C, Mann LM, Sanchez T, Westreich D, et al. Projected HIV and Bacterial Sexually Transmitted Infection Incidence Following COVID-19–Related Sexual Distancing and Clinical Service Interruption. J Infect Dis. 223 (6): 1019–1028. pmid:33507308
  6. 6. Rawre J, Juyal D, Dhawan B.Molecular Typing of Chlamydia trachomatis: An Overview. Indian J Med Microbiol. Jan-Mar 2017;35(1):17–26. pmid:28303813
  7. 7. Last AR, Pickering H, Roberts CH, Coll F, Phelan J, Burr SE, et al. Population-based analysis of ocular Chlamydia trachomatis in trachoma-endemic West African communities identifies genomic markers of disease severity. Genome Med. 2018 Feb 26;10(1):15. pmid:29482619
  8. 8. Ndisabiye D, Gahungu A, Kayugi D, Waters EK. Association of environmental risk factors and trachoma in Gashoho Health District, Burundi. Afr Health Sci. 2020 Mar;20(1):182–189. pmid:33402906
  9. 9. Odonkor M, Naufal F, Munoz B, Mkocha H, Kasubi M, Wolle M, et al. Serology, infection, and clinical trachoma as tools in prevalence surveys for re-emergence of trachoma in a formerly hyperendemic district. PLoS Negl Trop Dis. 2021 Apr 16;15(4):e0009343. eCollection 2021 Apr. pmid:33861754
  10. 10. Peuchant O, Touati A, Nadalié CL, Hénin N, Cazanave C, Bébéar C, et al. Prevalence of lymphogranuloma venereum among anorectal Chlamydia trachomatis-positive MSM using pre-exposure prophylaxis for HIV. Sex Transm Infect. 2020 Dec;96(8):615–617. Epub 2020 Apr 17. pmid:32303577
  11. 11. Aar F, Kroone MM, Vries HJ, Götz HM, V Benthem BH. Increasing trends of lymphogranuloma venereum among HIV-negative and asymptomatic men who have sex with men, the Netherlands, 2011 to 2017. Euro Surveill. 2020 Apr;25(14):1900377. pmid:32290900
  12. 12. Diaz A, R Algueró M, Hernando V. Lymphogranuloma venereum in Spain, 2005–2015: A literature review. Med Clin (Barc). 2018 Nov 21;151(10):412–417. Epub 2018 Aug 27. pmid:30166126
  13. 13. Davies B, Turner KME, Leung S, Yu B.N, Frølund M, Benfield T, et al. Comparison of the population excess fraction of Chlamydia trachomatis infection on pelvic inflammatory disease at 12-months in the presence and absence of chlamydia testing and treatment: Systematic review and retrospective cohort analysis. Plos One. 2017. Feb 2017
  14. 14. Gonullu DC, Huang XM, Robinson LG, Walker CA, Adeola MA, Jameson R, et al. Tubal Factor Infertility and its Impact on Reproductive Freedom of African American Women. Am J Obstet Gynecol. 2021 Jun 7;S0002-9378(21)00615-3. pmid:34111406
  15. 15. Curry A, Williams W, Penny ML. Pelvic Inflammatory Disease: Diagnosis, Management, and Prevention. Am Fam Physician. 2019 Sep 15;100(6):357–364. pmid:31524362
  16. 16. Davies B, Turner KMET, Frølund M, Ward H, May MT, Rasmussen S, et al. Risk of reproductive complications following chlamydia testing: a population-based retrospective cohort study in Denmark. Lancet Infect Dis. 2016 Sep;16(9):1057–1064. Epub 2016 Jun 8. pmid:27289389
  17. 17. Naaz F, Khan N, Mastan A. Risk factors of pelvic inflammatory disease: a prospective study. Int J Herbal Med. 2016;4(4):129–133.
  18. 18. He W, Jin Y, Zhu H, Zheng Y, Qian J. Effect of Chlamydia trachomatis on adverse pregnancy outcomes: a meta-analysis. Arch Gynecol Obstet.2020 Sep;302(3):553–567. Epub 2020 Jul 8. pmid:32643040
  19. 19. Schlueter R, Siu A, Shelton J, Lee MJ. Routine screening for Chlamydia trachomatis and Neisseria gonorrhoeae in first trimester abortion. J Infect Public Health. Jul-Aug 2018;11(4):584–585. Epub 2017 Nov 13. pmid:29146429
  20. 20. Campos RG, Santillán EAG, Aguirre DEB, Martínez MDCR, Mier CDC, Cabral AR. Association between early miscarriage and Chlamydia trachomatis infection in Aguascalientes, Mexico. Rev Med Inst Mex Seguro Soc. 2020 Jan 1;58(1):21–27.
  21. 21. Tang W, Mao J, Li KT, Walker JS, Chou R, Fu R, et al. Pregnancy and fertility-related adverse outcomes associated with Chlamydia trachomatis infection: a global systematic review and meta-analysis. Sex Transm Infect. 2020 Aug;96(5):322–329. pmid:31836678
  22. 22. Menezes MLB, Giraldo PC, Linhares IM, Boldrini NAT, Aragón MG. Brazilian Protocol for Sexually Transmitted Infections 2020: pelvic inflammatory disease. Epidemiol. Serv. Saude, Brasília, 30(Esp.1):e2020602, 2021
  23. 23. Tavares MCM, Macêdo JL, Lima Júnior SF, Heráclio SA, Amorim MM, Maia MMD, et al. Chlamydia trachomatis infection and human papillomavirus in women with cervical neoplasia in Pernambuco-Brazil. Molecular Biology Reports. 41:865–874. 2014.
  24. 24. Costa-Lira E, Jacinto AHVL, Silva LM, Napoleão PFR, Barbosa-Filho RAA, Cruz GJS, et al. Prevalence of human papillomavirus, Chlamydia trachomatis, and Trichomonas vaginalis infections in Amazonian women with normal and abnormal cytology. Genet Mol Res. 2017 Apr 28;16(2). pmid:28453175
  25. 25. Azevedo MJN, Nunes SS, Oliveira FG, ROCHA DAP. High prevalence of Chlamydia trachomatis in pregnant women attended at Primary Health Care services in Amazon, Brazil. Rev Inst Med Trop Sao Paulo. 2019; 61: e6. Published online 2019 Feb 14. pmid:30785560
  26. 26. Rocha D, Moraes C, Araújo A, Beltrão Ê, Santos L, Mata L, et al. Chlamydia trachomatis infection in women living in remote areas in Amazonas, Brazil—a self-collection screening experience. Int J DST AIDS. 2019;30(4):336–43. (https://pubmed.ncbi.nlm.nih.gov/30486765).
  27. 27. Santos Ulian WL, Trindade JQ, Sousa FDM, Oliveira JFG, Pereira CCC, Brasiliense DM, et al. Prevalência da infecção endocervical de Chlamydia trachomatis em universitárias do Estado do Pará, região Amazônica, Brasil. Revista Pan-Amazônica de Saúde (Online), V. 8, P. 27–33, 2017. dx.doi.org/10.5123/s2176-62232017000300004
  28. 28. Santos LM, Vieira MRMDS, Oliveira JFG, Trindade JQ, Brasiliense DM, Ferrari SF, et al. High prevalence of sexual Chlamydia trachomatis infection in young women from Marajó Island, in the Brazilian Amazon (2018) PLoS One, 13: e0207853.
  29. 29. Ribeiro AA, Saddi VA, Carneiro MA, Alves RRF, Barros NKS, Carvalho KPAC, et al. Human Papillomavirus and Chlamydia Trachomatis Infections in Adolescents and Young Women: Prevalence and Risk Factors. Diagn Cytopathol. 2020 May 7. pmid:32379403
  30. 30. Silveira MF, Bruni MP, Stauffert D, Golparian D, Unemo M.Prevalence and Risk Factors Associated With Chlamydia trachomatis, Neisseria gonorrhoeae, and Mycoplasma genitalium Among Women in Pelotas, Southern Brazil. Int J STD AIDS. 2020 Apr;31(5):432–439. Epub 2020 Mar 19. pmid:32192370
  31. 31. Suehiro TT, Gimenes F, Souza RP, Taura SKI, Cestari RCC, Irie MMT, et al. High molecular prevalence of HPV and other sexually transmitted infections in a population of asymptomatic women who work or study at a Brazilian university. Rev Inst Med Trop Sao Paulo. 2021 Jan 20;63:e1. eCollection 2021. pmid:33503149
  32. 32. Travassos AG, Eveline Xavier-Souza E, Netto E, Dantas EV, Timbó M, Nóbrega I, et al. Anogenital Infection by Chlamydia Trachomatis and Neisseria Gonorrhoeae in HIV-infected Men and Women in Salvador, Brazil. Braz J Infect Dis. Nov-Dec 2016;20(6):569–575. Epub 2016 Oct 17. pmid:27765581
  33. 33. Brasiliense DM, Borges BN, Ferreira WA. Genotyping and prevalence of Chlamydia trachomatis infection among women in Belém, Pará, northern Brazil. J Infect Dev Ctries. 2016; 10(2):134–7.
  34. 34. Rodrigues LLS, Hardick J, Nicol AF, Morgado MG, Martinelli KG, Paula VS, et al. Sexually transmitted infections among HIV-infected and HIV-uninfected women in the Tapajós region, Amazon, Brazil: Self-collected vs. clinician-collected samples. PLoS One. 14(4):e0215001. eCollection 2019. pmid:31013277
  35. 35. Galvão TF, Tiguman GMB, C Roa M, Silva MT. Inequity in utilizing health services in the Brazilian Amazon: A population-based survey, 2015. Int J Health Plann Manage. 2019 Oct;34(4):e1846–e1853. Epub 2019 Sep 12. pmid:31515900
  36. 36. Garnelo L, Parente RCP, Puchiarelli MLR, Correia PC, Torres MV, Herkrath FJ. Barriers to access and organization of primary health care services for rural riverside populations in the Amazon. Int J Equity Health. 2020 Jul 31;19(1):54. pmid:32731874
  37. 37. Machado LFA, Fonseca RRS, Queiroz MAF, Oliveira-Filho AB, Vallinoto IMVC, Vallinoto ACR, et al. The Epidemiological Impact of STIs among General and Vulnerable Populations of the Amazon Region of Brazil: 30 years of Surveillance. Viruses. 2021 May; 13(5): 855. Published online 2021 May 7. pmid:34067165
  38. 38. BRASIL. MINISTÉRIO DA SAÚDE. Secretaria de Vigilância em Saúde. Saúde e prevenção nas escolas: guia para a formação de profissionais de saúde e de educação / Ministério da Saúde. Brasília. 2006.
  39. 39. Rodríguez CF, S López T, Cuesta M. Needs and demands for psychological care in university students. Psicothema. 2019 Nov;31(4):414–421. pmid:31634086.
  40. 40. Wu L, Wang J, Gao Y, Zhu L. Different patterns of perceived barriers to psychological treatment among Chinese depressed college students: Preliminary findings. J Clin Psychol. 2020 Jul;76(7):1339–1352. pmid:32020638.
  41. 41. Torrado M, B Nicolau L, Skryabin V, Teixeira M, Eusébio S, Ouakinin S. Emotional dysregulation features and problem gambling in university students: a pilot study. J Addict Dis. Oct-Dec 2020;38(4):550–566. pmid:32762419
  42. 42. Martins BG, Silva WR, Marôco J, Campos JADB. Eating Behavior of Brazilian College Students: Influences of Lifestyle, Negative Affectivity, and Personal Characteristics. Percept Mot Skills. 2021 Apr;128(2):781–799. Epub 2020 Dec 29. pmid:33375885
  43. 43. Jalal H, Stephen H, Alexander S, Carne C, Sonnex C. Development of real-time PCR assays for genotyping of Chlamydia trachomatis. Journal of Clinical and Microbiology. 2007; 45(8):2649–53.
  44. 44. Lysén M, Osterlund A, Rubin CJ, Persson T, Persson I, Herrmann B. Characterization of ompA Genotypes by Sequence Analysis of DNA from All Detected Cases of Chlamydia trachomatis Infections during 1 Year of Contact Tracing in a Swedish County. Journal of Clinical Microbiology. 2004, 42(4):1641–7.
  45. 45. Gama ASM, F TG, Parente RCPP, Secoli SR. A health survey in riverine communities in Amazonas State, Brazil. Caderno de Saúde Pública 2018; 34(2):e00002817. pmid:29489939
  46. 46. Santos HMC. Reflections on education inside Amazonas/Brazil. Brazilian Journal of Development. ISSN: 2525-8761. Brazilian Journal of Development, Curitiba, v.7, n.4, p. 38498–38513, 2021.
  47. 47. Nigussie T and Yosef T. Knowledge of Sexually Transmitted Infections and its associated factors among polytechnic college students in Southwest Ethiopia. Pan Afr Med J. 2020; 37: 68. pmid:33244331
  48. 48. Zizza A, Guido M, Recchia V, Grima P, Banchelli F, Tinelli A. Knowledge, Information Needs and Risk Perception about HIV and Sexually Transmitted Diseases after an Education Intervention on Italian High School and University Students. nt J Environ Res Public Health. 2021 Feb; 18(4): 2069. pmid:33672540
  49. 49. Spindola T, Santana RSC, Antunes RF, Machado YY, Moraes PC. Prevention of Sexually Transmitted Infections in the sexual scripts of young people: differences according to gender. Cien Saude Colet. 2021 Jul;26(7):2683–2692. Epub 2021 Apr 11. pmid:34231681
  50. 50. Kassie BA, Yenus H, Berhe R, Kassahun EA. Prevalence of sexually transmitted infections and associated factors among the University of Gondar students, Northwest Ethiopia: a cross-sectional study. Reprod Health. 2019 Nov 8;16(1):163. pmid:31703688
  51. 51. Elshiekh HF, Hoving C, Vries H. Exploring Determinants of Condom Use among University Students in Sudan. Arch Sex Behav. 2020; 49(4): 1379–1391. pmid:32056040
  52. 52. Almeida AIS, Ribeiro JM, Bastos FI. Analysis of the national DST/Aids policy from the perspective of advocacy coalition framework (ACF). Ciência saúde coletiva 27 (03) • Mar 2022 • pmid:35293462
  53. 53. Land JA, Van Bergen JEAM, Morré SA, Postma MJ. Epidemiology of Chlamydia trachomatis infection in women and the cost-effectiveness of screening. Hum Reprod Update. 2010 Mar-Apr;16(2):189–204. Epub 2009 Oct 14. pmid:19828674
  54. 54. Jordá G.B., Hanke S.E., Ramos-Rincón J.M., Mosmann J., Lopéz M.L., Entrocassi A.C., et al. (2018) Revista española de quimioterapia. 31:21–26.
  55. 55. European Centre for Disease Prevention and Control. Surveillance and disease data for chlamydia. 2022.
  56. 56. Feodorova V, Konnova SS, Saltykov YV, Zaitsev SS, Subbotina IA, Polyanina TI, et al. Urogenital Chlamydia trachomatis multilocus sequence types and genovar distribution in chlamydia infected patients in a multi-ethnic region of Saratov, Russia. PLoS One. 2018 Apr 11;13(4):e0195386. eCollection 2018 pmid:29641543
  57. 57. Rawre J, Dhawan B, Khanna N, Sreenivas V, Broor S, Chaudhry R. Distribution of Chlamydia trachomatis ompA genotypes in patients attending a sexually transmitted disease outpatient clinic in New Delhi, India. Indian J Med Res. 2019 May;149(5):662–670. pmid:31417035
  58. 58. Chung Y, Han M, Park JY, Kim I, Kim JS. Characterization of Chlamydia trachomatis ompA Genotypes Among Sexually Transmitted Disease Patients in Korea. Clin Lab. 2020 May 1;66(5). pmid:32390381
  59. 59. L Hurtado M, E Tame MA, E Guerra MR, H Cruz MJ, Infante FMG. Identification of Chlamydia trachomatis genotypes in Mexican men with infertile women as sexual partners. Enferm Infecc Microbiol Clin (Engl Ed). 2021 Mar 9; S0213-005X (21)00043-4. pmid:33712266
  60. 60. Lima HE, Oliveira MB, Valente BG, Afonso DAF, Darocha WD, Souza MCM, et al. Genotyping of Chlamydia trachomatis From Cervical Specimens in Brazil. Sexually Transmitted Diseases. Vol. 34, No. 9, p.709–717, 2007.
  61. 61. Machado ACS, Bandea CI, Alves MFC, Joseph K, Igietseme J, Miranda AE, et al. Distribution of Chlamydia trachomatis genovars among youths and adults in Brazil. Journal of Medical Microbiology. 60; 472–476, 2011.