Quantification of bacterial species of the vaginal microbiome in different groups of women, using nucleic acid amplification tests.

BACKGROUND: The vaginal microbiome plays an important role in urogenital health. Quantitative real time Polymerase Chain Reaction (qPCR) assays for the most prevalent vaginal Lactobacillus species and bacterial vaginosis species G. vaginalis and A. vaginae exist, but qPCR information regarding variation over time is still very limited. We set up qPCR assays for a selection of seven species and defined the temporal variation over three menstrual cycles in a healthy Caucasian population with a normal Nugent score. We also explored differences in qPCR data between these healthy women and an 'at risk' clinic population of Caucasian, African and Asian women with and without bacterial vaginosis (BV), as defined by the Nugent score.
RESULTS: Temporal stability of the Lactobacillus species counts was high with L. crispatus counts of 108 copies/mL and L. vaginalis counts of 106 copies/mL. We identified 2 types of 'normal flora' and one 'BV type flora' with latent class analysis on the combined data of all women. The first group was particularly common in women with a normal Nugent score and was characterized by a high frequency of L. crispatus, L. iners, L. jensenii, and L. vaginalis and a correspondingly low frequency of L. gasseri and A. vaginae. The second group was characterized by the predominance of L. gasseri and L. vaginalis and was found most commonly in healthy Caucasian women. The third group was commonest in women with a high Nugent score but was also seen in a subset of African and Asian women with a low Nugent score and was characterized by the absence of Lactobacillus species (except for L. iners) but the presence of G. vaginalis and A. vaginae.
CONCLUSIONS: We have shown that the quantification of specific bacteria by qPCR contributes to a better description of the non-BV vaginal microbiome, but we also demonstrated that differences in populations such as risk and ethnicity also have to be taken into account. We believe that our selection of indicator organisms represents a feasible strategy for the assessment of the vaginal microbiome and could be useful for monitoring the microbiome in safety trials of vaginal products.

Background

The resident Lactobacillus species are the dominant constituents of the healthy vaginal microbiome and play an important role in the defense against sexually transmitted infections (STIs) and HIV [1-3]. Lactobacilli comprise part of the larger innate and adaptive mucosal immune system of the female lower genital tract [4]. The protective mechanisms are still undefined but in addition to the production of lactic acid and the creation of a hostile acid environment, Lactobacillus species producing H2O2 have been shown to inhibit the growth of various micro-organisms, including HIV in vitro [5,6]. Bacterial vaginosis (BV), defined as the colonization of the vagina by several types of anaerobes, including Gardnerella vaginalis, together with a reduction in Lactobacillus species, has been associated with increased susceptibility to STI and HIV acquisition in both epidemiological studies and in vitro assays [3,6,7].

The findings that alterations in the vaginal microbiome can be associated with negative health outcomes underscores the need for monitoring the composition of the microbiome during trials of vaginal products. The Nugent score is a quick and cheap microscopic tool to assess the presence of Lactobacillus species, G. vaginalisBacteroides spp. and curved Gram-negative bacilli [8]. Currently this method is considered to be the gold standard for the diagnosis of BV and has been very useful in research but it does not provide reliable identification and quantification of the bacteria at the species level. Molecular techniques based on the amplification of the 16 S ribosomal RNA and 16 S-23 S ribosomal RNA genes from resident bacteria have made it possible to detect and quantify both cultivable and cultivation resistant organisms at the species level [9-11]. Using quantitative real time Polymerase Chain Reaction (qPCR) assays with primers targeting species specific 16 S ribosomal DNA regions, it has been confirmed that a healthy microbiome is dominated by several Lactobacillus species [12-15]. Recent pyrosequencing studies suggest that there are a variety of ‘healthy’ microbiomes in the human vagina [14,16]. Ravel et al. proposed five microbiome groups (I to V) in asymptomatic women in the US, distinguishable both by the dominance of Lactobacillus species and by the presence of a particular Lactobacillus species [14]. Communities in group I are dominated by L. crispatus, whereas communities in group II, III, and V are dominated by L. gasseriL. iners, and L. jensenii, respectively. Communities in group IV are the most diverse and have a higher proportion of strictly anaerobic bacteria in combination with Lactobacillus species. Although all five bacterial communities were found in these asymptomatic women, higher Nugent scores were mostly associated with those in group IV.

We set up qPCR assays for the monitoring of the vaginal microbiome during clinical trials of vaginal products based on the following indicator organisms: Lactobacillus genus, L. crispatus, L. iners, L. jensenii, L. gasseriL. vaginalis, Gardnerella vaginalis and Atopobium vaginae. Our aim was to define baseline qPCR values for these bacterial species in a typical healthy population of women not using hormonal contraception and without BV, as defined by the Nugent score, and to describe any temporal variations over 3 menstrual cycles [8,17]. Published data on how quickly the composition of vaginal flora changes are scarce and therefore interpretation of ‘normal’ versus ‘pathological’ in the context of a phase I clinical trial is difficult [18-20]. We also wanted to compare the baseline values in the “healthy population” with available data obtained from a population of women deemed to be “at risk” of STI and HIV on the basis of their attendance at a local low threshold STI and voluntary HIV testing and counseling clinic

Methods

Clinical set up

We followed our usual strategy for the recruitment of a classical ‘healthy population’ for phase I microbicide trials [21]. Thirty women were enrolled and followed approximately nine weeks. They were aged between 18 and 35 years, were not using hormonal contraception, did not have vaginal infections at screening, and had a regular menstrual cycle. Any kind of sexual activity was permitted and condoms were provided. After screening, the women received appointments for five follow up visits that were planned on day 7 and 21 of the two next cycles and on day 7 of the third cycle. At each visit the women completed a written questionnaire about their sexual activity during the previous 72 hours.

The second group of women had been recruited six months earlier at a local STI clinic and HIV testing and counseling centre. Women attending the clinic were asked to participate in a study analysing the vaginal microbiome before and after BV treatment. A total of 41 women were enrolled and vaginal samples were taken and tested for STIs and BV on two occasions: at baseline and approximately two weeks later. BV was defined on the basis of a Nugent score of 7 or more and women with BV were treated with a single dose of 2 gram oral metronidazole.

A clinician collected two high vaginal specimens from each woman during every visit, with flocked synthetic swabs (COPAN innovation, Italy). A third vaginal specimen was collected from the healthy women for Prostate Specific Antigen (PSA) testing. The swabs were stored at 2-8 °C and then transported within 12 hours to the laboratory, where they were stored dry at minus 20 °C until testing.

Laboratory methods

DNA extraction

After thawing the swabs at room temperature for 30 minutes, 1200 μL diluted PBS [pH 7.4] (1:9, PBS:saline) was added to the swabs and gently vortexed for at least 15 seconds. The eluates of both swabs were pooled and a final volume of 2000 μL of specimen eluate was obtained. After finalising the samples from the women attending the STI clinic, we learned that DNA yield of Gram positive microorganisms could be improved by adding a lysis step prior to the extraction. This strategy was then applied to the samples of the healthy women and as a result DNA extraction methods differed between the two groups of women. An aliquot of 250 μL eluate of the specimens collected from the healthy population was processed using the easyMag (BioMérieux, Marcy l’Etoile, France) after an initial lysing step with mutanolysin (Sigma Aldrich, Bornem, Belgium) and proteinase K (PK)(Qiagen, Venlo, the Netherlands). Briefly, the aliquot was centrifuged for 10 min at 12500 rpm, and 250 μL mutanolysin/PK buffer was added to the pellet. After vortexing 2.5 μL mutanolysin (25U/μL) was added and incubated for 15 min at 37 °C. Thereafter, a volume of 12.5 μL PK (25 mg/mL) was added and incubated for 15 min at 55 °C including vortexing every 5 minutes. Finally, 1750 μL of Nuclisens Easymag buffer was added prior to the extraction, following the manufacturer’s instructions. For the specimens collected from the clinic population, an aliquot of 500 μL was processed according to the Boom extraction using the miniMAG system (BioMérieux, Marcy l’Etoile, France) and according to the manufacturer’s instructions.

Quantitative PCR

Quantitative PCR for total Lactobacillus species, L. crispatus, L. iners, L. jensenii, L. gasseri, L. vaginalis, G. vaginalis, and A. vaginae were performed with the primers as described in Table 1. The primers were synthesized by Eurogentec, Seraing, Belgium. The 25 μL PCR mixture contained QuantiTect SYBR Green PCR (Qiagen, Venlo, the Netherlands) with the exception of the PCR mixture for L. vaginalis which contained Thermo Scientific Absolute SYBR Green Mix (ABgene, Epsom, UK), 5 μL DNA extract, primers, and Milli-Q water. The amplification reactions were performed using the Corbett Life Science Rotor-Gene™ 6000 (Qiagen, Venlo, the Netherlands) and the amplification programs as described in Table 1. Each sample was run in duplicate. For each of the organisms standard curves were constructed and included in each run. A total of 6 standards were prepared by a tenfold dilution and within a range of 102 copies/5 μL to 107 copies/5 μL. Reference strains (L. crispatus (LMG 9479T), L. jensenii (LMG 6414T), L.iners (LMG 18914 T), L. gasseri (LMG 9203T), L. vaginalis (LMGT 12891), G. vaginalis (LMG 7832 T), A. vaginae (CCUG 38953)) were cultured on Columbia agar (Beckton Dickinson, Le pont de Claix, France) supplemented with 5% Defibrinated Horse Blood (E&O laboratories Ltd, Burnhouse, Bonnybridge, Scotland) and incubated in an anaerobic atmosphere (Anaerocult A, Merck Chemicals, Darmstadt, Germany) for 24 hours at 35°C. A suspension was made in 400 μL molecular biology water and DNA was extracted as described above. The DNA concentration was determined by using the Nanodrop ND-1000 (Nanodrop Technnologies, Wilmington, USA). The number of cells in each dilution was calculated taking into account the genome size of the bacterial species. The quantitative result obtained with the qPCR was expressed in number of copies/5 μL and was back calculated taking into account the total specimen elute volume, the volume extracted, the DNA extract volume obtained, and volume of DNA amplified.

Table 1

Primers for Quantitative PCR

PCR	Reference	Primers	Target gene	Cycling conditions	Concentration
L. species	Zariffard MR [28]	F-LBF: 5′- ATGGAAGAACACCAGTGGCG-3′	16 S r RNA	15 min 95 °C, (15 sec 95 °C, 45 sec 50 °C, 45 sec 72 °C) x37	150 nM
		R- LBR: 5′- CAGCACTGAGAGGCGGAAAC-3′
L. crispatus	Byun R [29]	LcrisF: 5′-AGCGAGCGGAACTAACAGATTTAC-3′	16 S r RNA	15 min, 95 °C, (15 sec 95 °C, 60 sec 60 °C, 20 sec 72 °C) x40	100 nM
		LcrisR : 5′-AGCTGATCATGCGATCTGCTT-3′
L. gasseri	Tamrakar R [30]	LgassF: 5′-AGCGAGCTTGCCTAGATGAATTTG-3′	16 S r RNA	15 min 95 °C, (15 sec 95 °C, 60 sec 57 °C, 60 sec 65 °C) x40	200 nM
		LgassR: 5′-TCTTTTAAACTCTAGACATGCGTC-3′
L. iners	De Backer E [31]	InersFw: 5′-GTCTGCCTTGAAGATCGG-3′	16 S r RNA	15 min 95 °C, (15 sec 95 °C, 55 sec 60 °C, 60 sec 65 °C) x35	200 nM
		InersRev: 5′-ACAGTTGATAGGCATCATC-3′
L. jensenii	Tamrakar R [30]	LjensF: 5′-AAGTCGAGCGAGCTTGCCTATAGA-3′	16 S r RNA	15 min 95 °C, (15 sec 95 °C, 55 sec 60 °C, 60 sec 72 °C) x40	300 nM
		LjensR: 5′-CTTCTTTCATGCGAAAGTAGC-3′
L. vaginalis	In-house designed primers	LV16s_23s_F: 5′-GCCTAACCATTTGGAGGG-3′	16 S-23 S r RNA	15 min 95 °C, (15 sec 95 °C, 30 sec 56 °C, 30 sec 72 °C)x37	200 nM
		LV16s_23s_R3: 5′-CGATGTGTAGGTTTCCG-3′
G. vaginalis	Zariffard MR [28]	F-GV1: 5′-TTACTGGTGTATCACTGTAAGG-3′	16 S r RNA	15 min 95 °C, (45 sec 95 °C, 45 sec 55 °C, 45 sec 72 °C) x50	260 nM
		R-GV3: 5′-CCGTCACAGGCTGAACAGT-3′
A. vaginae	De Backer E [31]	ATOVAGRT3Fw: 5′-GGTGAAGCAGTGGAAACACT-3′ATOVAGRT3Rev: 5′-ATTCGCTTCTGCTCGCGCA-3′	16 S r RNA	15 min 95 °C, (20 sec 95 °C, 45 sec 60 °C, 45 sec 72 °C) x45	300 nM

Prostate specific antigen

The PSA testing was performed using the Seratec® PSA semiquant assay (Seratec Diagnostica, Göttingen, Germany). A volume of 500 μL of PSA buffer was added to the thawed swab and was shaken for 2 hours. After centrifugation of 300 μL for 1 min at 13000 g, 200 μL of supernatant was used for testing, following the manufacturer’s instructions.

Data analysis

Baseline characteristics were described using means (ranges) and proportions. We analyzed changes in the profile of the Lactobacillus species in the healthy population by defining groups of women based on the consistent presence (present in samples in at least 4 out of 5 visits) or absence of each Lactobacillus species. We looked for any predictors of “consistently having a particular species” using logistic regression and predictors of the Lactobacillus counts in these women using linear mixed effects models. We compared the presence of individual microbiome species at the baseline visit between ‘healthy population (HP)’ women and ‘clinic population (CP)’ using logistic regression models. We then compared the counts between CP women with (CPBVpos) and without (CPBVneg) bacterial vaginosis using Wilcoxon Rank Sum test. No comparisons in counts between HP and CP species were performed due to the differences in nucleic acid extraction techniques. Using the presence or absence of each of the microbiome species, we divided the study population (CP and HP combined) in groups with Latent Class Analysis, a statistical technique related to cluster analysis, and assessed the distribution of the different groups in the women by BV status and ethnic origin [22]. We assessed the relationship between Nugent scores and the presence of each of the microbiome species in the CP population using scatter plots, and we added a trend-line and a Spearman correlation coefficient R.

Ethical approval

IRB approval was obtained from the Institute of Tropical Medicine and from the Ethics Committee at the University Hospital of Antwerp. All study participants gave their written informed consent.

Results

Study populations

Baseline characteristics of the two study populations are presented in Table 2. All women recruited into the HP group were Caucasian. They were all asymptomatic at baseline and no diagnosis of BV was made in this group, neither at baseline nor during any of the follow up visits. Five of the 30 HP women (12.5%) had a sexual preference for the same gender and four of them were currently sexually active. Of the remaining 25 heterosexual women, 17 (68%) were currently sexually active. Follow up of the HP women was high, with 28 out of 30 women completing all visits. Prostate specific antigen (PSA) was detected on 12 occasions in 7 women. Of the women recruited at the clinic (CP), 49% were Caucasian, 32% were of black African origin and living in Belgium, 12% of Asian origin, and for 7%, ethnicity was not recorded. 50% percent of the women at the clinic presented with a complaint of vaginal discharge at baseline and 29% had BV as assessed by Nugent score. The presence of self-reported smelly discharge was significantly associated with BV (p = 0.001) but no association was seen between BV and ethnicity.

Table 2

Baseline Characteristics of Study Populations

		Healthy Population (N = 30)	Clinic Populationa(N = 41)
			¹
Age (years)	Mean (range)	27 (19–38)	27 (15–47)
			²
Ethnicity N (%)	Black	0 (0)	13 (32)
	Caucasian	30 (100)	20 (49)
	Asian	0 (0)	5 (12)
			³
Contraception N (%)	None	12 (40)	18 (46)
	Combined pill	0 (0)	9 (23)
	Intrauterine device	1 (3)	8 (21)
	Implant	0 (0)	2 (5)
	Condoms	17 (57)	2 (5)
Nugent score 0–3		30 (100%)	29 (71%)
4–6		0 (0%)	0 (0%)
7–10		0 (0%)	12 (29%)

¹ 5 missing values ² 3 missing values ³ 2 missing values.

a STI clinic and HIV testing and counseling centre.

Changes over time in species presence and species counts in the healthy women

In general, the presence or absence of a particular Lactobacillus species in the HP remained constant throughout the study visits (Figure 1). L. crispatus, L. iners, L. jensenii, and L. gasseri were present at least once in 90%, 77%, 73%, and 70% of women, respectively. G. vaginalis was present at least at one visit in 47% of women and A. vaginae in 20% of women. L. crispatus, L. iners, L. jensenii, and L. gasseri were consistently present (minimum 4 out of 5 visits) in 60%, 67%, 63%, and 67% of women. We categorised the latter group of women, “women with consistent Lactos”. We explored sexual preference; current sexual activity; presence of PSA; time in the menstrual cycle; and age as predictors for being a “women with consistent Lactos”. None of these factors were found to be associated with the consistent presence of lactobacilli. G. vaginalis was consistently present in 23% of women and A. vaginae in 7% of women. Risk factor analysis was not performed due to low numbers. Longitudinal analysis of the “women with consistent Lactos” showed that L. crispatus counts were 0.22 log higher (p < 0.001) and L. iners counts were 0.83 log lower (p < 0.001) in the post-ovulatory phase of the cycle. Furthermore, L. crispatus counts were decreased by 0.42 log after intercourse (PSA present) (p = 0.002), while those of L. iners (+0.73 log, p = 0.033) and of L. gasseri (+0.59 log, p = 0.058) were increased.

Figure 1

Presence of species by day in the menstrual cycle. cps/mL: copies/mL.

Two women developed intermediate Nugent scores at visit 4 (6 and 4), while their scores at the other visits were 0. The bacterial cell counts by visit for these two women are shown in Figure 2. In both of these women, the increase in Nugent score coincided with an increase in L. iners counts. In the first woman, in whom G. vaginalis was present throughout the study, A. vaginae appeared on the same day as the raised Nugent score. This woman complained of a vaginal itch and dysuria, had a white watery discharge on examination, and a raised pH of 6.1. In the second woman, G. vaginalis appeared together with the elevated Nugent score, while A. vaginae remained absent. This woman had a positive PSA test and also had a new sexual partner since the previous visit.

Figure 2

Presence of species by day in the menstrual cycle for two women developing an elevated Nugent score. cps/mL: copies/mL.

The vaginal microbiome of the healthy women and the women at risk of STIs

The Lactobacillusspecies were present at baseline in all women. The frequencies of the presence of individual microbiome species are summarized in Table 3, which also presents a pairwise comparison between the HP, the CP without BV (CPBVneg), and the CP with BV (CPBVpos). L. crispatus and L. vaginalis were significantly more present in HP women and CPBVneg women compared to the CPBVpos women. L. gasseri was more often present in HP women compared to the CPBVneg women (p = 0.004), but the differences within the CP were not significant. L. iners was less frequently present in the HP compared to the other 2 groups but this was not statistically significant. G. vaginalis was significantly more frequently present in CP women than in HP women. A. vaginae was significantly more present in CPBVpos compared to HP women and CPBVneg women.

Table 3

Presence of species at baseline

	Healthy population	Clinic populationa		Pairwise comparisons
	BV = 0	BV = 0	BV = 1	HP vs. CPBVneg	HP vs. CPBVpos	CPBVneg vs. CPBVpos
	N = 30	N = 29	N = 12
	N (%)	N (%)	N (%)	p-value	p-value	p-value
L. crispatus	23 (77)	23 (79)	5 (42)	1.000	0.067	0.029
L. iners	20 (67)	25 (86)	10 (83)	0.125	0.453	1.000
L. jensenii	17 (57)	15 (52)	3 (25)	0.796	0.091	0.171
L. gasseri	19 (63)	7 (24)	1 (8)	0.004	0.002	0.214
L. vaginalis	22 (73)	18 (62)	1 (8)	0.421	<0.001	0.002
G. vaginalis	10 (33)	20 (69)	12 (100)	0.009	<0.001	0.039
A. vaginae	4 (13)	8 (28)	11 (92)	0.209	<0.001	<0.001

All P-values from Fisher’s exact test; HP = Healthy population; CPBVneg = Clinic population women without BV; CPBVpos = Clinic population women with BV; vs. =versus; BV = 0 or Nugent scoring 0–3; BV = 1 or Nugent scoring 7–10.

a STI clinic and HIV testing and counseling centre.

When analyzing the presence and absence of microflora species at baseline using Latent Class Analysis (LCA) and combining the ‘healthy population’ and the ‘clinic population’, 3 groups were identified (Table 4). The first group is characterized by the predominance of L. crispatus, L. iners, L. jensenii, and L. vaginalis and a low frequency (<30% of women) of L. gasseri and A. vaginae. This group is mostly prevalent in the women with a normal Nugent score, regardless of whether they belonged to the HP group or to the CP group. The second group is mainly characterized by the presence of L. gasseri and L. vaginalis and by a less frequent presence of L. jensenii, L. crispatus, or L. iners. This group is mostly prevalent in the Caucasian women, HP women, as well as CP women without BV. The third group is characterized by the presence of G. vaginalis and A. vaginae and the absence of Lactobacillus species, except for L. iners. Most women with BV belong to this group, as well as a substantial proportion of African and Asian women without BV.

Table 4

Latent class analysis for the presence of species at baseline

a. Probability (%) of species presence in each of the latent classes
	Group 1	Group 2	Group 3
L. crispatus	90	63	50
L. iners	88	43	89
L. jensenii	84	24	21
L. gasseri	29	87	6
L. vaginalis	79	70	16
G. vaginalis	50	36	95
A. vaginae	19	15	72
b. Prevalence (%) of the three latent classes by risk population/BV class
	Group 1	Group 2	Group 3
HP	47	47	6
CP BV neg - Caucasian	64	29	7
CP BV neg - other	35	11	54
CP BV pos	9	10	81

HP = Healthy population; CPBVneg = Clinic population women without BV; CPBVpos = Clinic population women with BV.

The qPCR counts are graphically represented in Figure 3. Figure 3 panel B, illustrating the CPBVneg and CPBVpos counts, shows that counts for overall Lactobacillus species (p < 0.001), L. crispatus (p < 0.001) and L. vaginalis (p = 0.005) were significantly higher for women without BV compared to those with BV. The counts for G. vaginalis (p < 0.001) and A. vaginae (p < 0.001) were, on the contrary, significantly lower in women without BV compared to those with BV. There were no significant differences in the amount of L. iners, L. gasseri, and L. jensenii related to BV status in the CP.

Figure 3

Presence of species at baseline.Panel A: Healthy population. Panel B: Clinic population: BV negative versus BV positive women. Lact = Lactobacillus species. crisp = L. crispatus. iners = L. iners. jens = L. jensenii. gass = L. gasseri. vag = L. vaginalis. Gard = G. vaginalis. Ato = A. vaginae. Wilcoxon rank sum test result: ***: p < 0.001; **: p = 0.005; NS: p > 0.100. cps/mL: copies/mL. BV = 0 or Nugent scoring 0–3; BV = 1 or Nugent scoring 7–10.

The correlation of the qPCR log counts of the individual species of the CP population with the Nugent scores is presented in Figure 4. Overall lactobacillus counts (R = −0.553) and counts of L. crispatus (R = −0.411) and L. vaginalis (R = −0.421) decreased with increasing Nugent scores. Counts of G. vaginalis (R = 0.505) and A. vaginae (R = 0.606) increased with increasing Nugent scores. Correlations between Nugent scores and counts of L. iners (R = −0.062), L. jensenii (R = −0.192), and L. gasseri (R = −0.162) were low.

Figure 4

Correlation of the qPCR log counts data with the individual species by Nugent score. cps/mL: copies/mL.

Discussion

The data from our population of healthy women shows that the composition of the vaginal microbiome over time (5 visits) is very stable. A raised Nugent score (4 and 6) was only recorded on two occasions and we can thus conclude that the microbiome of this population represents a ‘healthy normal flora’.

The increase in L. crispatus and the decrease in L. iners in the post-ovulatory phase of the menstrual cycle seems in accord with the results of Srinivasan et al., showing a decrease of L. crispatus (−0.6 log) during menstruation, followed by a reconstitution of L. crispatus after menses [18]. The same authors also noticed that G. vaginalis was present for all the women at one point in the study, albeit at low numbers. We found that in 23% of the healthy women, G. vaginalis was consistently present. It is interesting to note that in the women from the HP with intermediate Nugent scores, the L. iners counts had increased. In the woman with symptoms, this increase was accompanied by a rise in G. vaginalis and in the woman with a new sex partner the numbers of A. vaginae were raised. Intermediate Nugent scores have been associated with frequent presence of G. vaginalis (70% - 92%) and A. vaginae (78% - 84%) [23,24]. The acquisition of a new sex partner may well be an important risk factor for BV. Larsson et al. found that relapse of BV in a Swedish population was highly associated (OR 9.3) with the acquisition of a new sex partner and Walker et al. saw that incident BV in Australian young women was associated with increasing numbers of sex partners [23,25].

Using LCA, we identified 2 types of ‘normal flora’ and one ‘BV type flora’. The first group of ‘normal flora’ was characterized by the predominance of a combination of four Lactobacillus species excluding L. gasseri, whereas in the second group L. gasseri and L. vaginalis predominated. The third group, associated with BV, was dominated by A. vaginae, G. vaginalis, and L. iners. Group 1 in our study was similar to community groups I, III, and V as defined by Ravel et al.; group 2 corresponded to community group II, and group 3 was similar to community group IV [14]. All 3 microbiome groups were represented in the different groups of women (HP, CP without BV, and CP with BV). However, among the women without BV there appeared to be large differences in the relative distribution of the different LCA groups according to ethnicity. Caucasian women mostly belonged to group 1 or 2, while African/Asian women mostly belonged to group 3. We should therefore not assume that all microbiomes with low Nugent scores are similar. Our data are in line with the findings of Ravel et al., who reported that healthy African/Asian women have a higher probability of belonging to group 3, the ‘BV type flora’ group [16,26].

The results of this study are in line with published literature showing that L. crispatus is consistently present with high counts of >108 copies/mL in a healthy vaginal ecosystem as defined by the Nugent score (0–3) whereas G. vaginalis and A. vaginae are highly present in women with BV [11,24]. We explored the correlation of specific species with the individual Nugent scores and showed that L. vaginalis (R = −0.421) shows the same inverse correlation as L. crispatus (R = −0.411) with increasing Nugent scores. A low correlation was seen for L. gasseri and the Nugent score and this may reflect the confounding effect of ethnicity. This study is among the first to show that L. vaginalis is highly represented in the normal healthy vaginal flora with typical counts of 106 copies/mL. L. crispatus, L. jensenii, L. gasseri, and L. vaginalis were less frequently present in women at higher risk of an STI, while L. iners remained present. The fact that L. iners is always present, even when A. vaginae and G. vaginalis are present, makes us wonder whether L. iners increases susceptibility to BV. This would be in line with the findings of Antonio et al. who recently demonstrated that only L. crispatus had a protective effect against acquisition of BV [27].

We observed higher bacterial counts with the combined lysis-Boom extraction compared to the Boom extraction alone (results not shown). The extra lysis step particularly improved the efficiency of the DNA extraction from Gram positive microorganisms. As a result of these different methods of extraction, we were unable to directly compare the quantitative counts from the HP and CP group (Figure 3) and this represents a weakness of this study. This shortcoming illustrates that results across studies can only be compared after ascertaining that laboratory methods are consistent [28,29]. Another limitation of this study is the small sample size and limited statistical power. Furthermore, the two groups of women differed in aspects such as contraception, the number of follow up visits and time points in the cycle that were sampled. Finally, our definition of bacterial vaginosis was based on the Nugent score, and although this scoring system is considered to be the gold standard for research, we recognize it is not perfect.

Conclusion

We have shown that qPCR can be used to quantify and describe the bacterial species associated with the non-BV vaginal microbiome. We have also shown that risk status and ethnicity can also impact upon the number and type of organisms present and therefore also need to be taken into account. The analysis of seven indicator organisms by qPCR is a feasible approach for the assessment of the vaginal microbiome and could be used for analyzing the composition of the microbiome during the safety assessments of vaginal products.

Authors’ contributions

VJ, TC, and AB conceived and designed the study. VJ wrote the first version of the manuscript. JM provided statistical support for the design of the study and performed the statistical analyses. TC supervised the laboratory analytical procedures and validated the laboratory results. TC, HS, SA and RV set up and carried out the qPCRs. SP and LH participated in the design and clinical coordination of the study. All authors contributed to the editing, and approved the final paper.