Literature DB >> 34549049

Lack of resistance to macrolides in Mycoplasma genitalium detected in South African pregnant women.

Meleshni Naicker1, Ravesh Singh2,3, Donald van der Westhuizen4, Partson Tinarwo5, Nathlee S Abbai6.   

Abstract

BACKGROUND: Azithromycin regimens have been considered first-line treatment for Mycoplasma genitalium (M. genitalium), a sexually transmitted infection (STI) associated with adverse pregnancy outcomes. However, recent years have seen rapid emergence of macrolide resistance in M. genitalium as a result of widespread administration of azithromycin. Currently, there are limited data on macrolide resistance in pregnant women from KwaZulu-Natal (KZN), South Africa. This study investigated the prevalence of M. genitalium and emerging patterns of macrolide resistance in pregnant women from KZN.
METHODS: This was a sub-study of a larger study which involved laboratory-based detection of STIs in pregnant women. In the main study, pregnant women provided urine samples for detection of STIs. For this study, deoxyribose nucleic acid (DNA) extracted from stored urine was used to determine emerging macrolide resistance by amplification of the 23S ribosomal ribonucleic acid (rRNA) gene of M. genitalium by polymerase chain reaction (PCR) and sequencing of amplicons to identify mutations associated with resistance. The Allplex™ MG & AziR assay was used as a confirmatory assay.
RESULTS: The prevalence of M. genitalium in pregnant women was 5.9% (13 out of 221). Sequencing of PCR amplicons did not reveal the presence of the A2059G and A2058G mutations associated with macrolide resistance. These findings were confirmed by the Allplex™ MG & AziR assay.
CONCLUSION: Despite the lack of resistance to macrolides in this study population, continued antimicrobial resistance surveillance for M. genitalium in pregnant women is important because azithromycin is now part of the South African national STI syndromic management guidelines for vaginal discharge syndrome.
© 2021. The Authors.

Entities:  

Keywords:  23S rRNA gene mutations; KwaZulu-Natal; Mycoplasma genitalium; azithromycin; macrolide resistance; pregnant women

Year:  2021        PMID: 34549049      PMCID: PMC8447758          DOI: 10.4102/sajid.v36i1.209

Source DB:  PubMed          Journal:  S Afr J Infect Dis        ISSN: 2312-0053


Introduction

Mycoplasma genitalium (M. genitalium) is an emerging sexually transmitted infection (STI) that is associated with non-gonococcal urethritis (NGU) in men[1,2] and cervicitis in women.[2,3] In addition, genital mycoplasma infections in women have been implicated in various pathological conditions and upper genital tract complications during pregnancy, consequently giving rise to a host of adverse outcomes. These include pelvic inflammatory disease, endometritis, chorioamnionitis and postpartum fever, resulting in complications such as infertility, spontaneous abortion, stillbirth, preterm birth, low birth weight and perinatal mortality.[4,5,6,7,8,9] However, there is still controversy regarding the role of M. genitalium in adverse pregnancy outcomes.[10,11,12] Further, M. genitalium has been reported to be a possible contributing factor for the acquisition and transmission of human immunodeficiency virus (HIV).[13,14] The prevalence of M. genitalium infection in women within the general population was reported between 1% and 4% but can reach 10% or higher in STI clinic attendees.[15,16,17] In a study conducted in Pretoria, South Africa, in 2012 and 2016, the prevalence of M. genitalium in termination of pregnancy attendees was reported to be 6.0% in 2012 and 7.7% in 2016.[18] Current South African Sexually Transmitted Infections Management Guidelines (2015) recommend the administration of a single oral dose (1 g) of azithromycin for the treatment of vaginal discharge syndrome and male urethritis syndrome.[19] However, recent years have seen the rapid emergence of macrolide resistance in M. genitalium as a result of this widespread administration of azithromycin.[18,20,21,22,23,24,25] The genetic basis for macrolide resistance was reported to be as a result of mutations occurring at positions 2058 and 2059 (E. coli numbering) within the V region of the 23S ribosomal ribonucleic acid (rRNA) gene of M. genitalium.[22] To date, there remains limited data available on the emergence of macrolide resistance in pregnant populations from KwaZulu-Natal (KZN). The present study provides data on the lack of macrolide resistance in pregnant women in our setting. In addition, this study provides data on the prevalence of M. genitalium in pregnant women, which is currently lacking in KZN.

Materials and methods

Study population and samples

The study was a sub-study of the larger study which involved laboratory-based detection of STIs in pregnant women (BE214/17). In the main study, pregnant women provided urine samples for detection of STIs. The women were recruited from the King Edward VIII Hospital in Durban, KZN, during the period November 2017 to April 2018. All enrolled women were 18 years and older, willing to provide written informed consent, information on their demographics, sexual behaviour, clinical information and a urine sample to be tested for vaginal infections. Deoxyribose nucleic acid (DNA) was extracted from the urine using the PureLinkTM Microbiome DNA Purification Kit (ThermoFisher Scientific, Massachusetts, USA) in accordance with the manufacturer’s instructions. Unused DNA was stored at –20 °C. For this sub-study, n = 221 stored DNA samples were used to determine the presence of emerging resistance to macrolides amongst the participants.

Detection of Mycoplasma genitalium from urine

Commercially available primers and probes specific for M. genitalium (Ba04646249_sl) were used with the TaqMan quantitative polymerase chain reaction (qPCR) assay (ThermoFisher Scientific, USA). The assay was run on the Quant Studio 5 Real-time PCR detection system (ThermoFisher Scientific, USA). The PCR was performed in a final reaction volume of 5 µL comprising: 0.25 µL Fluorescein amidite (FAM)-labelled probe and/or primer mix, 1.25 µL Fast Start 4x probe master mix (ThermoFisher, Part No. 4444434), 1.5 µL template DNA and nuclease-free water. Non-template control reactions and positive controls (TaqMan™ Vaginal Microbiota Extraction Control; cat no. A32039, ThermoFisher Scientific, USA) were also included. Amplification was performed at 95 °C for 30 s followed by 45 cycles comprising of denaturation at 95 °C for 3 s and annealing at 60 °C for 30 s. Detection of amplified fluorescent products was carried out at the end of the annealing phase. The raw fluorescent data included the CT mean values, which were automatically generated by the Quant Studio 5 Real-time PCR system software (ThermoFisher Scientific, USA).

Detection of mutations in the 23S ribosomal ribonucleic acid gene conferring macrolide resistance

Screening assay: Conventional polymerase chain reaction

Macrolide resistance-associated mutations in the 23S rRNA gene were determined for all samples that tested positive for M. genitalium by the TaqMan assay. The unique 147 base pair (bp) region within the 23S rRNA gene of M. genitalium, which flanks mutations found in the V region of the gene, was amplified and sequenced.[22] The screening PCR was performed in a final volume of 25 µL and comprised of 12.5 µL Dream Taq (2x) master mix (ThermoFisher Scientific, USA), 1 µL of each (10 µM) primer, 5 µL template DNA and nuclease-free water. Amplification was performed at an initial denaturation of 95 °C for 2 min, followed by 40 cycles of 95 °C for 30 s (denaturation), 54 °C for 1 min (annealing) and 72 °C for 1 min (extension). A final extension step at 72 °C for 5 min was included. Polymerase chain reaction amplicons were separated on 1% gel electrophoresis and visualised using an ultraviolet transilluminator (Gene Genius, SYNGENE, Maryland, USA).

Deoxyribose nucleic acid sequencing of amplicons

The 147 bp amplicon was sequenced using the Sanger method at Inqaba Biotechnological Industries in Pretoria, South Africa. The amplicons were sequenced using an ABI3500XL genetic analyser and the raw sequence data were edited using Chromas software V2.6.5 (Technelysium, Queensland, Australia) and then subjected to the National Centre for Biotechnology Information’s (NCBI) Basic Local Alignment Search Tool (BLAST) function for identity confirmation of the amplicons. This was followed by a multiple sequence alignment of study samples – V172, V193 and V208 – with strains of known mutations, LA141 (HF572938.1), LA088 (HF572933.1) and LA202 (HF572946.1), and a strain that does not include the mutations, that is, M. genitalium G37 complete genome (L43967.2), using ClustalW (https://www.genome.jp/tools-bin/clustalw).

Confirmatory assay – Allplex™ MG & AziR assay (Seegene)

The Allplex™ MG & AziR assay (Seegene, Seoul, South Korea) is a commercially available assay which allows for the simultaneous detection and identification of M. genitalium and six mutations (A2058C, A2058G, A2058T, A2059C, A2059G and A2059T) responsible for azithromycin resistance on validated sample types, which include genital swabs, urine and liquid-based cytology samples. The testing was performed as per the kit instructions and the samples were run on the Bio-Rad CFX96 equipped with Seegene interpretative software.

Statistical analyses

The statistical analysis was conducted using R software (version 3.6.1), a freely available software environment for statistical computing. Initially, the population characteristics were described using frequencies stratified by infection status of the STI investigated. All the tests were conducted at 5% level of significance.

Ethical consideration

Ethical approval to conduct the study was obtained from the Biomedical Research Ethics Committee (BREC), University of KwaZulu-Natal (UKZN), (reference no. BE214/17).

Results

Characteristics of the population according to Mycoplasma genitalium status

Out of 221 samples, 13 tested positive for M. genitalium using the TaqMan assay. The prevalence of M. genitalium in the study population was 5.9%. The median age of all 13 of the women who tested positive for M. genitalium was 26 years (interquartile range [IQR] 21–35). The analysis showed no significant associations (p > 0.05) between socio-demographic, behavioural and clinical data with reference to M. genitalium status (Table 1). Despite the lack of statistical significance, more than 60% of the women who tested M. genitalium positive did not present with symptoms of abnormal vaginal discharge on the day of enrolment. Similarly, more than 75% of the women did not experience previous symptoms of STIs 3 months prior to the enrolment. All women who tested positive for M. genitalium (n = 13) were unmarried. More than half of these women (53.8%) had reported having between two and four life-time sexual partners. A larger proportion of the positive women (53.8%) had indicated that either their current sexual partners had no other partners, or they were not aware of their partners having other partners. With regard to behavioural practices, 84.6% of the M. genitalium positive women had not used a condom during their last sexual act. Clinically, the majority of women who tested positive were in the third trimester of pregnancy (53.8%).
TABLE 1

Characteristics of the study population stratified by Mycoplasma genitalium status.

Characteristics Mycoplasma genitalium infection
p
Negative (n = 208)
Positive (n = 13)
Overall (n = 221)
n %Mean ± SDMedian n %Mean ± SDMedian n %Mean ± SDMedian
Age -----------0.622
CV-21.128.3 ± 5.97--26.728.0 ± 7.47--21.328.3 ± 6.04--
Q128--24.026--21.027--24.0-
Q3---33.0---35.0---33.0-
Minimum–maximum18.0–43.0---20.0–42.0---18.0–43.0----
Current abnormal vaginal discharge ------------0.771
No13665.4--861.5--14465.2---
Yes7234.6--538.5--7734.8---
Symptoms of STIs in the past 3 months ------------0.428
No17785.1--1076.9--18784.6--
Yes3114.9--323.1--3415.4--
Level of education ------------0.139
Primary and below1306.2--215.4--1506.8---
High school14067.3--646.2--14666.1---
College/University5526.4--538.5--6027.1---
Marital status ------------0.223
No17584.5--13100--18885.5---
Yes3215.5--00.0--3214.5---
Has a regular sexual partner ------------0.703
No3717.8--107.7--3817.2---
Yes17182.2--1292.3--18382.8---
Living with sexual partner ------------0.24
No12660.6--1076.9--13661.5---
Yes8239.4--323.1--8538.5---
Age at first sex ------------0.158
< 15904.3--215.4--1105.0---
15–2015675.0--1076.9--16675.1---
> 204320.7--107.7--4419.9---
Life-time number of sexual partners ------------0.933
15727.4--430.8--6127.6---
2–410651.0--753.8--11351.1---
> 44521.6--215.4--4721.3---
Partner has other partners ------------0.215
No/don’t know14871.2--753.8--15570.1---
Yes6028.8--646.2--6629.9---
Condom use ------------1
Never/rarely7234.6--430.8--7634.4---
Sometimes/always13665.4--969.2--14565.6---
Condom use at last sexual act ------------0.23
No13866.3--1184.6--14967.4---
Yes7033.7--215.4--7232.6---
Smokes ------------0.091
No20196.6--1184.6--21295.9---
Yes703.4--215.4--904.1---
Consumes alcohol ------------0.631
No18789.9--1184.6--19889.6---
Yes2110.1--215.4--2310.4---
Intravaginal practices ------------1
No18890.4--1292.3--20090.5---
Yes2009.6--107.7--2109.5---
Trimester of pregnancy ------------0.175
First1808.7--323.1--219.5---
Second7234.6--323.1--7533.9---
Third11856.7--753.8--12556.6---
Previous preterm delivery ------------1
No16581.3--1184.6--17681.5---
Yes3818.7--215.4--4018.5---
Past miscarriage ------------0.193
No15072.1--1292.3--16273.3---
Yes5827.9--107.7--5926.7---
Past spontaneous abortion ------------1
No18990.9--1292.3--20191.0---
Yes199.1--107.7--2009.0---
Previous abnormal vaginal discharge ------------0.774
No11957.2--861.5--12757.7---
Yes8842.3--538.5--9342.3---
Previously treated for STIs ------------0.839
No11856.7--753.8--12556.6---
Yes9043.3--646.2--9643.4---

STI, sexually transmitted infection; CV, coefficient of variation.

Characteristics of the study population stratified by Mycoplasma genitalium status. STI, sexually transmitted infection; CV, coefficient of variation.

Detection of macrolide resistance-associated mutations in the 23S ribosomal ribonucleic acid gene

The 147 bp fragment associated with the 23S rRNA gene was detected in 8 out of 13 (61.5%) of the M. genitalium positive isolates analysed. Sanger sequencing confirmed that the PCR amplicons obtained were the 23S rRNA gene from M. genitalium (Accession number: Mk411362.1). Samples which produced good sequencing reads were aligned with strains with known mutations as well as a strain which lacked the mutations. According to the multiple sequence alignment, positions of known mutations associated with macrolide resistance, that is, A2058G, A2059C and A2059G, were not present in the study samples analysed. Similarly, these mutations were not present in the G37 strain (strain lacking the mutations) (Figure 1). However, as expected, the A2058G mutation was present in strain LA141, the A2059G mutation was present in strain LA088 and the A2059C mutation was present in strain LA202 (Figure 1). The prevalence of macrolide resistant M. genitalium in our study population was 0%.
FIGURE 1

Multiple sequence alignment of study samples (V172, V193 and V208) with strains of known mutations, LA141 (HF 572938.1), LA088 (HF 572933.1) and LA202 (HF 572946.1), and strain G37, which lacks the mutations.

Multiple sequence alignment of study samples (V172, V193 and V208) with strains of known mutations, LA141 (HF 572938.1), LA088 (HF 572933.1) and LA202 (HF 572946.1), and strain G37, which lacks the mutations. The Allplex™ MG & AziR assay produced results for 11 out of 13 samples tested (84.61%) showing that it is much more sensitive than the screening assay (conventional PCR). The conventional PCR detected the 23S rRNA in 61.5% of the samples tested (Table 1-A1). Two of the study samples V014 and V069 did not produce a positive result for the presence of M. genitalium on the Allplex™ MG & AziR assay despite testing positive on the TaqMan assay and yielding the 147 bp amplicon. The discrepancy between the assays may have been the result of loss of sample integrity (as a result of the freeze-thawing process) or loss of sample volume during shipment.
TABLE 1-A1

Data from the sensitivity analysis of the 23S ribosomal ribonucleic acid conventional polymerase chain reaction when compared to the AziR assay (comparator assay) computed using R software (version 3.6.1).

AziR assay (comparator assay): Explanation23S PCR
ElementEstimateLowerUpper
Apparent (test or predicted) prevalence (+)APREV0.6150.3160.861
True (outcome) prevalence (+)TPREV0.8460.5460.981
Sensitivity (correct [+] in diseased)SE0.5450.2340.833
Specificity (correct [−] in not diseased)SP0.0000.0000.842
Diagnostic accuracy (total correct [+] and [−])DIAG.ACC0.4620.1920.749
Diagnostic OR (likely correct [+] in diseased)DIAG.OR0.0000.000-
Number needed to diagnose (to give one [+])NND−2.200−1.3051.483
Youden’s index (max true [+] without false [+])YOUDEN−0.455−0.7660.674
PPV (genuinely diseased in [+])PPV0.7500.3490.968
NPV (genuinely not diseased in [−])NPV0.0000.0000.522
LR+ (true [+] to one false [+])PLR0.5450.3180.936
LR- (false [−] to 10 true [−])NLR---
Proportion of subjects with the outcome ruled outPRO0.3850.1390.684
Proportion of subjects with the outcome ruled inPRI0.6150.3160.861
Proportion of false (+)PFP1.0000.1581.000
Proportion of false (−)PFN0.4550.1670.766
Agreement beyond one expected by chance aloneKAPPA−0.282−0.7360.173
Dichotomous correlationPHI−0.200--
Equivalent continuous scale correlationTETRACHORIC−0.386--
Non and diseased discrimination ability (z-score)D’PRIME−0.727--
Human interpretation biasCRITERION−0.842--
Average sensitivity for all specificity valuesAUC0.304--
Test for presence of bias (systematic difference)MCNEMARp = 0.257--

PCR, polymerase chain reaction; PPV, positive predictive value; NPV, negative predictive value; APREV, apparent prevalence; TPREV, true prevalence; DIAG.ACC, diagnostic accuracy; DIAG.OR, diagnostic odds ratio; PLR, positive log ratio; NLR, negative log ratio; SE, sensitivity; SP, specificity; NND, number needed to diagnose; PRO, proportion ruled out; PRI, proportion ruled in; PFP, proportion of false positives; PFN, proportion of false negatives; AUC, Area under the curve.

However, the Allplex™ MG & AziR assay confirmed that the prevalence of macrolide resistant M. genitalium in our study population was 0%. None of the study samples tested positive for any of the six mutations (A2058C, A2058G, A2058T, A2059C, A2059G and A2059T) responsible for azithromycin resistance (Table 2-A1). However, all assay controls yielded the expected results indicating that the results were valid.
TABLE 2-A1

Data obtained for the clinical samples using the Allplex™ MG & AziR assay (Seegene): Output obtained directly from the Seegene viewer linked to the Bio-Rad CFX96 instrument.

WellNameTypeFAM
HEX
Cal Red 610
Quasar 670
Quasar 670
Auto Interpretation
A2059TC(t)A2058TC(t)A2058CC(t)A2058GC(t)A2059CC(t)A2059GC(t)MGC(t)ICC(t)
A01V014SAMPLEN/AN/AN/AN/AN/AN/AN/A+29.32
B01V019SAMPLEN/AN/AN/AN/AN/ANIA+37.12+26.19MG
C01V055SAMPLEN/AN/AN/AN/AN/ANIA+34.90+26.72MG
D01V069SAMPLEN/AN/AN/AN/AN/ANIAN/A+28.60
E01V083SAMPLEN/AN/AN/AN/AN/ANIA+35.71+28.31MG
F01V103SAMPLEN/AN/AN/AN/AN/ANIA+32.07+25.13MG
G01V104SAMPLEN/AN/AN/AN/AN/ANIA+30.11+25.00MG
H01V109SAMPLEN/AN/AN/AN/AN/ANIA+34.57+25.64MG
A12V193SAMPLEN/AN/AN/AN/AN/ANIA+26.33+25.07MG
B12V172SAMPLEN/AN/AN/AN/AN/ANIA+26.25+22.96MG
C12V197SAMPLEN/AN/AN/AN/AN/ANIA+37.96+22.97MG
D12V208SAMPLEN/AN/AN/AN/AN/ANIA+26.50+23.59MG
E12V238SAMPLEN/AN/AN/AN/AN/ANIA+35.29+27.30MG
F12PCPC+26.75+23.07+23.46+22.59+23.05+22.13+20.20+24.70Positive Control(+)
G12NCNCN/AN/AN/AN/AN/AN/AN/AN/ANegative Control(−)

N/A, not applicable; FAM, fluorescein amidite; HEX, hexachlorofluorescein; PS, positive control; NC, negative control.

Discussion

To the best of our knowledge, this is the first study to provide an estimate on the prevalence of M. genitalium in pregnant women from the Durban area in KZN, South Africa. We report a prevalence estimate of 5.9% for M. genitalium. Our data are consistent with previous reports on M. genitalium infection in South African pregnant women.[18,26] Redelinghuys et al. (2013) reported a prevalence of 14.5% for M. genitalium in pregnant women from Gauteng, South Africa.[26] Similarly, another study conducted by Le Roux et al. (2018) reported a prevalence of 6.0% in 2012 and 7.7% in 2016 for M. genitalium in pregnant women from Pretoria, South Africa.[18] In our study, the factors that could be attributed to this prevalence are as follows: 67.4% of the study women did not use condoms during their last sexual act; 61.5% were not living with their regular partner; 70.1% were unaware if their partner had other partners and 75.1% had first experienced sex between 15 and 20 years of age. In addition, 51.1% had between two and four life-time sex partners and 43.4% were previously treated for STIs. Many of these factors have been shown to contribute to the prevalence of sexually acquired infections.[27,28,29,30] The emergence of macrolide resistance in M. genitalium has drawn recent attention.[18,20,21,22,23] The first study to report on macrolide resistance in M. genitalium in South Africa was conducted by Hay et al. in the Limpopo province of rural South Africa in 2015.[20] In that study, the authors reported detecting macrolide resistance-associated mutations in 4 out of 41 (9.8%) of M. genitalium positive isolates obtained from women attending a primary health care clinic. In contrast, in the current study, no macrolide resistance-associated mutations for the M. genitalium positive samples were reported. Our results are similar to that obtained in a more recent study conducted in Johannesburg, South Africa by Muller et al. (2019). In that study, no macrolide resistance-associated mutations were observed in their total study population of 266 stored M. genitalium positive isolates collected through the Gauteng STI National Microbiological Surveillance programme during the period 2007–2014.[21] Similarly, Le Roux et al. (2018) reported no patterns of macrolide resistance amongst their M. genitalium positive isolates obtained in 2012 from pregnant women in Pretoria, South Africa.[18] However, in that same study, the authors reported a macrolide resistance-associated mutation (A2059G) amongst their M. genitalium positive isolates obtained in 2016. The same mutation was present in 25% of their isolates tested. There is a possibility that the A2059G mutation is prevalent in South African populations; however, this needs further investigation to provide conclusive evidence. Despite the lack of resistance to macrolides in the studied population, continued antimicrobial resistance surveillance for M. genitalium in pregnant women will be important since azithromycin is now part of the South African national STI syndromic management guidelines for vaginal discharge syndrome. The present study was limited in that samples were collected from pregnant women attending a single antenatal facility. However, the hospital from which the women were sampled in this study serves as a central hospital for women from around the Durban area, thereby making the population more generalised. The strength of this study is that we now provide prevalence data as well as data on macrolide susceptibility of M. genitalium in a population of pregnant women from KZN, an area of research that has received limited attention.
  26 in total

Review 1.  Preterm birth due to maternal infection: Causative pathogens and modes of prevention.

Authors:  M V Pararas; C L Skevaki; D A Kafetzis
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2006-09       Impact factor: 3.267

2.  Prevalence and macrolide resistance of Mycoplasma genitalium in South African women.

Authors:  Bastien Hay; Jan Henk Dubbink; Sander Ouburg; Chloé Le Roy; Sabine Pereyre; Lisette van der Eem; Servaas A Morré; Cécile Bébéar; Remco P H Peters
Journal:  Sex Transm Dis       Date:  2015-03       Impact factor: 2.830

3.  Prevalent Herpes Simplex Virus-2 Increases the Risk of Incident Bacterial Vaginosis in Women from South Africa.

Authors:  Nathlee S Abbai; Makandwe Nyirenda; Sarita Naidoo; Gita Ramjee
Journal:  AIDS Behav       Date:  2018-07

Review 4.  Mycoplasma genitalium infection and female reproductive tract disease: a meta-analysis.

Authors:  Rebecca Lis; Ali Rowhani-Rahbar; Lisa E Manhart
Journal:  Clin Infect Dis       Date:  2015-04-21       Impact factor: 9.079

5.  Azithromycin treatment failure in Mycoplasma genitalium-positive patients with nongonococcal urethritis is associated with induced macrolide resistance.

Authors:  Jørgen S Jensen; Catriona S Bradshaw; Sepehr N Tabrizi; Christopher K Fairley; Ryoichi Hamasuna
Journal:  Clin Infect Dis       Date:  2008-12-15       Impact factor: 9.079

6.  Correlates of cervical Mycoplasma genitalium and risk of preterm birth among Peruvian women.

Authors:  Jane Hitti; Pedro Garcia; Patricia Totten; Kathleen Paul; Sabina Astete; King K Holmes
Journal:  Sex Transm Dis       Date:  2010-02       Impact factor: 2.830

7.  Sexually Transmitted Infections in Women Participating in a Biomedical Intervention Trial in Durban: Prevalence, Coinfections, and Risk Factors.

Authors:  Nathlee Samantha Abbai; Handan Wand; Gita Ramjee
Journal:  J Sex Transm Dis       Date:  2013-11-03

8.  Socio-demographic and behavioural characteristics associated with HSV-2 sero-prevalence in high risk women in KwaZulu-Natal.

Authors:  Nathlee Samantha Abbai; Handan Wand; Gita Ramjee
Journal:  BMC Res Notes       Date:  2015-05-05

9.  Association between Mycoplasma genitalium infection and HIV acquisition among female sex workers in Uganda: evidence from a nested case-control study.

Authors:  Judith Vandepitte; Helen A Weiss; Justine Bukenya; Nassim Kyakuwa; Etienne Muller; Anne Buvé; Patrick Van der Stuyft; Richard J Hayes; Heiner Grosskurth
Journal:  Sex Transm Infect       Date:  2014-03-31       Impact factor: 3.519

10.  Macrolide and fluoroquinolone resistance-associated mutations in Mycoplasma genitalium in Johannesburg, South Africa, 2007-2014.

Authors:  Etienne E Muller; Mahlape P Mahlangu; David A Lewis; Ranmini S Kularatne
Journal:  BMC Infect Dis       Date:  2019-02-13       Impact factor: 3.090

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.