The Presence of Lactobacillus spp. and its Effect on the Occurrence of Other Microorganisms in the Reproductive Tract of Polish Women
Kategoria artykułu: ORIGINAL PAPER
Data publikacji: 25 sie 2024
Zakres stron: 265 - 273
Otrzymano: 05 lut 2024
Przyjęty: 24 maj 2024
DOI: https://doi.org/10.33073/pjm-2024-024
Słowa kluczowe
© 2024 Aneta Kiecka et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The vaginal microbiota of healthy women of reproductive age is characterized by low biodiversity and a dominance of species from the genus
Lactic acid bacilli in the vagina perform protective functions through the production of lactic acid, hydrogen peroxide (H2O2), and bacteriocins (Gajer et al. 2012; Tachedjian et al. 2018; Zheng et al. 2021). Lactic acid is found in two varieties L-lactic acid and D-lactic acid, of which D-lactic acid has a stronger protective effect. L-lactic acid blocks histone deacetylase, stimulating gene transcription and DNA repair. H2O2
Women of reproductive age were selected as the study group. The aim of this study was to determine whether the number of
The study was a retrospective analysis of the results of 1,039 microbiological tests of the genital tract among women of reproductive age from 18 to 49 years of age at the Center of Microbiology and Autovaccines in Cracow, Poland, from April to August 2020. The study was carried out with the consent of the Bioethics Committee No. 118.6120.32.2023. The analysis included women who underwent a complete package of tests, including vaginal culture, evaluation of microscopic preparation of vaginal biocenosis, evaluation of pH value of vaginal contents, testing for
Samples were taken from vagina and the cervical canal. Test material consisted of two vaginal swabs (one for microscopic preparation, pH and culture and the other for
During the collection of vaginal swabs, 0.1 g of vaginal content found in the vaginal speculum was taken to determine the pH value of vaginal content. The pH of vaginal contents was measured using indicator strips in the range of 2.0–9.0 pH (Merck KGaA, Germany). The pH was then recorded in the patient’s record. Normal vaginal pH ranges from 3.5 to 4.5. A pH above 4.5 indicates an abnormal picture of vaginal biocenosis.
One of the swabs with vaginal contents was used for preparation. The collected vaginal contents were carefully spread on a microscope slide. The slide was then stained by the Gram method using a PREVI® Color Gram apparatus (bioMerieux, France). Microscopic preparations were evaluated using the Kuczyński scale (Kuczyńska 2003) with Kasprowicz modification (Kasprowicz and Białecka 2016). The presence of

Microscope photos showing
A) 0 – means none, B) 1 – a single bacterium (up to 10 in the field of view), C) 2 – few (11–50 in the field of view), D) 3 – many (> 50 in the field of view) cells of
The swab was examined in 2 ml of Trichomedium (GRASO® Biotech, Poland). 48 hours later, a direct preparation was made. The preparation was observed under a microscope for identification of
A swab of vaginal contents was used to culture by direct plating the Petri dish on TSA media with 5% sheep blood (GRASO® Biotech, Poland), Gardnerella Agar (bioMerieux, France), CANDI
A cervical contents swab was placed in 3 ml of UTM® medium (Copan Italia s.p.a., Italy). DNA was isolated using croBEE 201A (GeneProof a.s., Czech Republic) and croBEE NA16 (GeneProof a.s., Czech Republic) for nucleic acid extraction. NAAT assay was conducted using AmpliSens PCR assay in a Cobas® Z480 real-time thermocycler (Roche, Switzerland). NAAT was used to detect
An R language, version 4.0.4 (R Core Team 2021), an environment for statistical computing, was used for all statistical analysis. The two-way
The study group consisted of 1,039 women aged 18–49, among whom 287 showed burning, itching, pain, discomfort, and discharge symptoms, while 752 patients showed none.
Occurrence of individual microorganisms in women with and without symptoms qualified for the study and the microbiological methods used.
Microorganisms | Method | Total | Without symptoms (n = 752) | With symptoms (n = 287) | OR# (95% CI) | |||
---|---|---|---|---|---|---|---|---|
n (%) | n (%) | n (%) | ||||||
0 | microscopic | 46 (4.4%) | 19 (2.5%) | 27 (9.4%) | < 0.001 | 1 (REF.) | – | |
1 | 132 (12.7%) | 90 (12.0%) | 42 (14.6%) | 0.33 (0.17; 0.66) | 0.002 | |||
2 | 611 (58.8%) | 451 (60.0%) | 160 (55.7%) | 0.25 (0.14; 0.46) | < 0.001 | |||
3 | 250 (24.1%) | 192 (25.5%) | 58 (20.2%) | 0.22 (0.11; 0.41) | < 0.001 | |||
culture, microscopic | 51 (4.9%) | 11 (1.5%) | 40 (13.9%) | < 0.001 | 10.55 (5.40; 20.63) | < 0.001 | ||
PCR | 165 (15.9%) | 81 (10.8%) | 84 (29.3%) | < 0.001 | 3.42 (2.43; 4.82) | < 0.001 | ||
PCR | 80 (7.7%) | 27 (3.6%) | 53 (18.5%) | < 0.001 | 6.02 (3.71; 9.75) | < 0.001 | ||
PCR | 19 (1.8%) | 0 (0%) | 19 (6.6%) | < 0.001 | 109.30 (6.58; 1,816.53) | 0.001 | ||
PCR | 1 (0.1%) | 0 (0%) | 1 (0.3%) | 0.276 | 7.88 (0.32; 193.98) | 0.207 | ||
PCR | 8 (0.8%) | 1 (0.1%) | 7 (2.4%) | < 0.001 | 13.40 (2.31; 77.74) | 0.004 | ||
Enterobacterales | culture | 55 (5.3%) | 35 (4.7%) | 20 (7.0%) | 0.162 | 1.55 (0.88; 2.72) | 0.127 | |
culture | 81 (7.8%) | 57 (7.6%) | 24 (8.4%) | 0.698 | 1.12 (0.69; 1.84) | 0.641 | ||
Yeast | culture, microscopic | 177 (17.0%) | 100 (13.3%) | 77 (26.8%) | < 0.001 | 2.39 (1.71; 3.34) | < 0.001 | |
culture | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | – | – | – | ||
culture | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | – | – | – |
– all
–
– OR of occurrence symptoms in women with or without detected microorganisms, reference category in all microorganism is “undetected”
– 0 means none, 1 single (up to 10 in the field of view), 2 few (11–50 in the field of view), 3 many (> 50 in the field of view) cells of
Our data show that symptoms in the form of itching, burning, discharge, pain, and discomfort are associated with the presence of various microorganisms in the genital tract of women. Tables I and II show univariable and multivariable logistic regression models. In the crude model, women who had more
Relationship between the occurrence microorganisms and symptoms.
Microorganisms | Model 1 | Model 2 | Model 3 | ||||
---|---|---|---|---|---|---|---|
OR# (95% CI) | OR# (95% CI) | OR# (95% CI) | |||||
1 | 0.31 (0.15; 0.61) | < 0.001 | 0.42 (0.20; 0.87) | 0.019 | 0.33 (0.16; 0.69) | 0.003 | |
2 | 0.23 (0.12; 0.43) | < 0.001 | 0.38 (0.19; 0.76) | 0.006 | 0.27 (0.13; 0.54) | < 0.001 | |
3 | 0.20 (0.10; 0.38) | < 0.001 | 0.38 (0.18; 0.81) | 0.012 | 0.23 (0.10; 0.50) | < 0.001 | |
10.47 (5.36; 20.47) | < 0.001 | 7.83 (3.93; 15.61) | < 0.001 | 10.03 (4.92; 20.47) | < 0.001 | ||
3.40 (2.42; 4.79) | < 0.001 | 3.18 (2.25; 4.50) | < 0.001 | 2.93 (2.06; 4.16) | < 0.001 | ||
5.98 (3.69; 9.69) | < 0.001 | 5.69 (3.49; 9.28) | < 0.001 | 5.56 (3.40; 9.09) | < 0.001 | ||
111.18 (6.71; 1,842.58) | 0.001 | 98.35 (5.93; 1,631.18) | 0.001 | 94.56 (5.72; 1,563.34) | 0.001 | ||
13.21 (2.28; 76.60) | 0.004 | 13.56 (2.31; 79.70) | 0.004 | 10.12 (1.69; 60.80) | 0.011 | ||
Yeast | 2.38 (1.70; 3.32) | < 0.001 | 2.24 (1.59; 3.14) | < 0.001 | 1.93 (1.36; 2.74) | < 0.001 |
Model 1 adjusted to age, Model 2 adjusted to age and pH, Model 3 adjusted to age, pH and leucocytes
– OR of occurrence symptoms in women with microorganisms (except of
–
–
Distribution of the prevalence of each microorganism according to the number of
Relationship between the presence of
Microorganisms | Presence | n (%) | |||||
---|---|---|---|---|---|---|---|
0 | 1 | 2 | 3 | ||||
No | 988 (95.1%) | 30 (65.2%) | 108 (81.8%) | 600 (98.2%) | 250 (100%) | < 0.001 | |
Yes | 51 (4.9%) | 16 (34.8%) | 24 (18.2%) | 11 (1.8%) | 0 (0%) | – | |
No | 874 (84.1%) | 36 (78.3%) | 109 (82.6%) | 520 (85.1%) | 209 (83.6%) | 0.542 | |
Yes | 165 (15.9%) | 10 (21.7%) | 23 (17.4%) | 91 (14.9%) | 41 (16.4%) | – | |
No | 959 (92.3%) | 40 (87.0%) | 119 (90.2%) | 566 (92.6%) | 234 (93.6%) | 0.299 | |
Yes | 80 (7.7%) | 6 (13.0%) | 13 (9.8%) | 45 (7.4%) | 16 (6.4%) | – | |
No | 1020 (98.2%) | 42 (91.3%) | 129 (97.7%) | 601 (98.4%) | 248 (99.2%) | 0.0153 | |
Yes | 19 (1.8%) | 4 (8.7%) | 3 (2.3%) | 10 (1.6%) | 2 (0.8%) | – | |
No | 1038 (99.9%) | 45 (97.8%) | 132 (100%) | 611 (100%) | 250 (100%) | 0.0443 | |
Yes | 1 (0.1%) | 1 (2.2%) | 0 (0%) | 0 (0%) | 0 (0%) | – | |
No | 1031 (99.2%) | 46 (100%) | 131 (99.2%) | 606 (99.2%) | 248 (99.2%) | 1.000 | |
Yes | 8 (0.8%) | 0 (0%) | 1 (0.8%) | 5 (0.8%) | 2 (0.8%) | – | |
Enterobacterales | No | 984 (94.7%) | 36 (78.3%) | 112 (84.8%) | 590 (96.6%) | 246 (98.4%) | < 0.001 |
Yes | 55 (5.3%) | 10 (21.7%) | 20 (15.2%) | 21 (3.4%) | 4 (1.6%) | – | |
No | 958 (92.2%) | 34 (73.9%) | 108 (81.8%) | 571 (93.5%) | 245 (98.0%) | < 0.001 | |
Yes | 81 (7.8%) | 12 (26.1%) | 24 (18.2%) | 40 (6.5%) | 5 (2.0%) | – | |
Yeast | No | 862 (83.0%) | 39 (84.8%) | 111 (84.1%) | 506 (82.8%) | 206 (82.4%) | 0.976 |
Yes | 177 (17.0%) | 7 (15.2%) | 21 (15.9%) | 105 (17.2%) | 44 (17.6%) | – | |
No | 1039 (100%) | 46 (100%) | 132 (100%) | 611 (100%) | 250 (100%) | – | |
Yes | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | – | |
No | 1039 (100%) | 46 (100%) | 132 (100%) | 611 (100%) | 250 (100%) | – | |
Yes | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | – |
– all
– 0 means none, 1 single (up to 10 in the field of view), 2 few (11–50 in the field of view), 3 many (> 50 in the field of view)
The association between presence of
Microorganisms | ||||||
---|---|---|---|---|---|---|
Per 1 category level increase | Not present | Present | Not present | Present | ||
Model 1 | Model 2 | Model 1 | Model 2 | |||
Yeast | 1.04 (0.83; 1.30) | 1.32 (1.02; 1.71) | 1 (REF.) | 0.97 (0.43; 2.18) | 1 (REF.) | 1.69 (0.70; 4.07) |
Enterobacterales | 0.35 (0.25; 0.48) | 0.54 (0.37; 0.81) | 1 (REF.) | 0.19 (0.09; 0.40) | 1 (REF.) | 0.78 (0.31; 1.97) |
0.40 (0.30; 0.52) | 0.63 (0.45; 0.89) | 1 (REF.) | 0.23 (0.11; 0.47) | 1 (REF.) | 0.99 (0.42; 2.29) | |
0.14 (0.09; 0.21) | 0.20 (0.12; 0.32) | 1 (REF.) | 0.05 (0.02; 0.11) | 1 (REF.) | 0.21 (0.09; 0.51) | |
1.12 (0.45; 2.79) | 1.39 (0.52; 3.75) | 1 (REF.) | 0.67 (0.04; 11.0) | 1 (REF.) | 1.19 (0.06; 24.33) | |
0.47 (0.28; 0.78) | 0.61 (0.32; 1.16) | 1 (REF.) | 0.16 (0.05; 0.49) | 1 (REF.) | 0.32 (0.08; 1.32) | |
0.91 (0.72; 1.13) | 1.16 (0.89; 1.50) | 1 (REF.) | 0.58 (0.28; 1.19) | 1 (REF.) | 1.02 (0.46; 2.26) | |
0.75 (0.56; 1.01) | 0.88 (0.62; 1.25) | 1 (REF.) | 0.45 (0.19; 1.07) | 1 (REF.) | 0.70 (0.26; 1.90) |
– model 1 adjusted to age
– model 2 adjusted to age and pH
–
– result for presence of
Out of 1,039 vaginal swabs, in 791 (76.1%) cases the pH was normal and in the range of 3.5–4.5. In 248 (23.9%) samples, the pH was above 4.5. Statistical analysis showed a strong relationship between the prevalence of high vaginal pH and the presence of

Distribution of pH between
The pH values in women with and without the occurrence of microorganisms.
Microorganisms | Not prevalent | Prevalent | pH > 4.5 | ||||
---|---|---|---|---|---|---|---|
n | Q2 (Q1–Q3) | n | Q2 (Q1–Q3) | OR (95% CI)** | |||
46 | 5.5 (5.0; 5.5) | 993 | 4.5 (4.0; 4.5) | < 0.001 | 0.01 (0.00; 0.05) | < 0.001 | |
988 | 4.5 (4.0; 4.5) | 51 | 5.0 (5.0; 5.5) | < 0.001 | 12.18 (6.31; 23.48) | < 0.001 | |
874 | 4.5 (4.0; 4.5) | 165 | 4.5 (4.5; 5.0) | < 0.001 | 1.74 (1.21; 2.50) | 0.003 | |
959 | 4.5 (4.0; 4.5) | 80 | 4.5 (4.4; 5.0) | 0.009 | 2.36 (1.47; 3.78) | < 0.001 | |
1020 | 4.5 (4.0; 4.5) | 19 | 4.5 (4.5; 5.0) | 0.014 | 2.88 (1.18; 7.01) | 0.020 | |
1038 | 4.5 (4.0; 4.5) | 1 | 5.0 (5.0; 5.0) | 0.203 | 11.50 (0.46; 284.64) | 0.136 | |
1031 | 4.5 (4.0; 4.5) | 8 | 4.5 (4.4; 4.6) | 0.698 | 1.27 (0.29; 5.52) | 0.748 | |
Enterobacterales | 984 | 4.5 (4.0; 4.5) | 55 | 5.0 (4.5; 5.0) | < 0.001 | 6.10 (3.47; 10.74) | < 0.001 |
958 | 4.5 (4.0; 4.5) | 81 | 5.0 (4.5; 5.0) | < 0.001 | 5.06 (3.17; 8.06) | < 0.001 | |
Yeast | 862 | 4.5 (4.0; 4.5) | 177 | 4.5 (4.5; 5.0) | 0.001 | 1.66 (1.16; 2.37) | 0.005 |
– based on Mann-Whitney
– based on logistic regression, Firth’s method, crude models, OR of prevalence pH > 4.5 in women specific microorganisms compared with those without them; Q2 (Q1–Q3) denotes median (interquartile range)
This retrospective study presents the results of women of reproductive age (18–49 years old) diagnosed at the Centre for Microbiology and Autovaccines in Cracow, Poland. The relationship between vaginal colonization by specific microorganisms and the occurrence of clinical symptoms in the form of burning, itching, discomfort, discharge and pain was investigated. The number of
The occurrence of candidiasis was observed to influence the appearance of symptoms. According to Mendling et al. (2015) candidiasis is associated with itching, discharge, burning sensation, and redness in only half of the cases. Often, women have asymptomatic
It is well known that lactic acid bacteria can adhere and compete for adhesion sites in the vaginal epithelium. In addition, they produce several antimicrobial compounds (lactic acid, bacteriocins, and hydrogen peroxide) that inhibit vaginal colonization by pathogenic microorganisms (Mei and Li 2022). Similar to Schwebke et al. (2014), it was shown that in women, the number of
According to Amsel’s criteria (Amsel et al. 1983), pH is one of the predictive factors of bacterial vaginosis. A relationship between
The strengths of this retrospective analysis were the large number of patients and the knowledge of microbiological composition of the reproductive organs of each patient. This study showed that even the use of classical diagnostic microbiology can expand our knowledge of the prevalence of microorganisms in the genital tract and affect the health of women of reproductive age.
Limitations of this study include the fact that the species of
In conclusion, the relationship between