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To understand the reproductive tract microbiome associated with infertility through metagenomics analysis

Abstract

Background

Knowledge of the microbiome is in its infancy in health and human illness, especially concerning human reproduction. We will be better able to treat dysbiosis of the reproductive tract clinically if it is better explained and understood. It has been shown that altered vaginal microbiota affects parturition, and its function is uncertain in assisted reproductive technologies. However, the effects of recognized microbes such as Mycoplasma tuberculosis, Chlamydia trachomatis, and Neisseria gonorrhoeae are well established, resulting in subclinical changes which are considered to be risk factors for infertility and poor reproductive outcomes.

Main body

Recent studies indicate that the vaginal tract comprises several different organisms of the microbiome. Some microbiota can play an important role not only in the reproductive tract but also in overall health. The microbiome of the female reproductive tract has been identified mainly based on studies that examine vaginal samples across many reproductive technologies, using a metagenomics approach.

Conclusion

Alteration of reproductive tract microbiota or presence of certain microbiota irrespective of the level of pathogenicity may interfere with fertilization, implantation, and subsequent embryo development. This may lead to failed fertility treatments and reduced live birth rate (LBR).

Background

Infertility is a common problem. Approximately 10% of couples face delays in conception. Of these, 10% will have unexplained infertility. In human beings, microbes have a major impact on human health and may cause infectious diseases. These changes in the microbiome may result in infertility and failure of recent therapies. The microbiome may be overlooked in such circumstances as an implicated factor. Microbial communities can be found in the semen, vagina, and urethra. Microbiome composition and interactions with different parts of the human body have an effect on human health and influence various disease processes [1, 2].

The polymerase chain reaction (PCR) method and routine culture method which are used to determine the presence of particular aerobic, anaerobic, or pathogenic bacterium are present in clinical specimens. Large-scale microbial DNA and RNA sequences can be extracted directly from human mixed microbial communities using next-generation sequencing technologies. It could be used in sequences of microbes that have not been cultured [3, 4]. The “microbiota” is the microorganisms that live in the vagina and have a mutual relationship with the host “microbiome” [5]. In women, the glycogen deposition in the vaginal epithelium may encourage the growth of glucose-fermenting microorganisms like Lactobacillus species since women of reproductive age have a high level of circulating estrogens [6]. Human vaginal microbes that promote pregnancy conception and timing of delivery may have increased the chance of risk factor infections, and as we know, a healthy balance of the microflora in the vaginal microenvironment is directly associated with good health. In this review, we will focus on the reproductive axis microbiome to establish interactions between the diversity of microbes and infertility and which are predominantly found in different parts of human reproductive samples. Huge interest is being paid to the vaginal microbiome, but endometrial, follicular, and semen microbiome are starting to gain attention regarding infertility with different processes, i.e., 16S rRNA gene sequencing, metagenomics, and pyrosequencing.

Main text

Metagenomics: 16S rDNA amplicons sequencing

With the help of metagenomics, strategies may have the capability to direct examining the microbial composition and phylogenetic diversity associated with an incredibly complex microbial population. A diverse population can be exploited by targeting universal and conserved genes such as rRNA genes to classify microbes using a basic approach.

Microorganisms are like especially bacteria and archaea, which can be detected in 16S rRNA genes by amplifying unique target regions with a combination of conserved primer binding sites and intervening variable sequences to facilitate genus and species identification. Since various bacteria families have different 16S rRNA gene sequences, this gene sequencing is often used for bacterial species identification. Bacteria have 16S rRNA gene and 9 hypervariable regions [V1–V9] comprised to intersperse conserved variable sequence. Hypervariable regions are about 50–100 bases long, and these sequences vary in terms of variance and usefulness for universal microbial identification (Fig. 1).

Fig. 1
figure 1

16S rDNA for microbiota identification

Next-generation DNA sequencing: pyrosequencing

Over the last decade, rapid parallel high throughput sequencing has led to the widespread commercialization of next-generation sequencing technology. Pyrosequencing biochemistry has recombinant enzymes these enzymes included single-stranded binding protein and sequencing have capability to read lengths improved due to refinements, during the past decade. With the help of advanced microfluidics technology, instruments have the ability to increase sequencing reaction cycle speed and, in second- and third-generation sequencers, the number of cycles that can be performed per unit time. For metagenomics sequencing, 454 technologies have a large number of reeds and a much greater range of coverage as compared to Sanger sequencing [7] (Fig. 2).

Fig. 2
figure 2

Whole genome sequencing for microbiota identification

Next-generation microbial identification strategies: metagenomics and informatics

Metagenomics’ analytical branch investigates how hundreds or thousands of organisms can be accurately identified which is a reasonable amount of time and at a reasonable cost. For large-scale projects, current bioinformatics throughput is too slow and insufficiently automated. The scientific community needs to establish a high-throughput metagenomics rDNA analysis tool. In the current metagenomics data analysis, adequate computational power and distributed computing networks are needed in research. Robust server technology could eventually meet these requirements which are necessary for metagenomics analysis.

Microbiome and reproduction

Human microbiomes are important in human health and disease, with some etiologies still unknown. Microbial communities exist in the human skin, gastrointestinal tract, oral cavity, and reproductive tract.

The compositions of the microbiome present in the various parts of the human body and have an impact on human health and disease origin [8, 9]. In clinical specimens, the polymerase chain reaction method and routine culturing methods can be used to identify particular aerobic, anaerobic, or pathogenic bacteria. Human mixed microbial communities and microbial DNA and RNA directly extracted large scale can also be used sequencing microbiomes with the help of next-generation sequencing technology that could not be cultured [10]. Furthermore, next-generation sequencing is more effective and less costly than Sanger sequencing [11]. The most common method for studying culture-independent microbiomes is 16S ribosomal RNA analysis.

Next-generation sequencing and bioinformatics techniques for sequencing 16S ribosomal RNA can be used to identify microbiomes.

Vaginal microbiota

Although it has been shown that the vaginal microbiota influences childbirth, its function in assisted reproductive technology is unknown. Subclinical changes caused by pathogens including Mycoplasma tuberculosis, Chlamydia trachomatis, and Neisseria gonorrhoeae have been linked to infertility. The vaginal tract presents many different species of Lactobacillus, with few that predominate and have recent findings to demonstrate.

The colonization of the transfer-catheter tip with Lactobacillus crispatus could play an important role during embryo transfer, with Lactobacillus crispatus having the potential role to increase implantation and as well as live birth rates while decreasing infection rates, according to this study in assisted reproductive technology vaginal microbiomes [12]. Additionally, some research indicates that progesterone-resistant endometrium increases the likelihood of an irregular vaginal microbiome. The most common pathogen is Lactobacillus, which is essential for vaginal health [13, 14]. Lactobacillus produces a large amount of lactic acid during anaerobic glycogen respiration, making the vaginal atmosphere acidic, which may help to prevent bacterial propagation. Lactobacillus species may produce hydrogen peroxide, which can inhibit pathogenic bacteria growth by sterilization and disinfection, lactobacillus bacteria as well as possessive nutritive and competitive effects that may compete with other nutrients that inhibit pathogenic bacteria growth. Lactobacillus is an essential component of the vaginal flora's distribution and balance [15].

Microbes present in follicular fluid

Oocytes mature in the follicular fluid environment, and developing follicular fluid must be colonized by microbiota, and women undergoing IVF cycles are not sterile. It is critical to distinguish between contamination and in vivo colonization procedures because follicular fluids were labeled as either contaminant or detectable microbiota. During transvaginal oocytes retrieval and colonization, lactobacillus microbiota in follicular fluid was also detected in the vagina, while microbiota was only found in follicular fluid. Lactobacillus spp the most common lactobacillus bacteria in follicular fluids are Lactobacillus crispatus, Lactobacillus gasseri, Actinomyces spp., and Propionibacterium spp.

Because Lactobacillus spp. was discovered in follicular fluid and linked to improved embryo quality, which resulted in substantially higher rates of embryo transfer and pregnancy, it suggested that follicular fluid contains a microbiome that can affect IVF treatment outcomes [16, 17]. Lactic acid, a major acid metabolite generated by Lactobacillus spp., has antimicrobial properties that can protect oocytes from harmful microbiota while they mature [18]. While human follicular fluid is considered sterile, it is easily contaminated through the trans-vaginal collection route, and little is known about its ability to promote microbial growth.

Endometrial microbiomes

The endometrium is the innermost lining layer of the uterus and is made of numerous glands embedded within the supportive stroma. The endometrial microbiota plays a very important role at the embryo transfer in the initiation of pregnancy in reproductive medicine, and a better understanding of what a healthy uterine environment and how to achieve it would benefit not only IVF patients, but also any woman who wants to conceive [19]. Uterine infection is a recognized cause of infertility because it can cause inflammation and immune activation in the endometrium, preventing embryo implantation and the start of a healthy pregnancy [19].

There are several groups have found in the endometrial flora at the time using microbial culture of the distal tip of the transfer catheter in the 1990s and 2000s, which was recorded by several groups assessing the endometrial flora at the time of ET using microbial culture of the distal tip of the transfer catheter [19, 20].

When endometrial microbial pathogens such as Streptococcus spp., Staphylococcus spp., Enterococcus spp., Escherichia coli, Klebsiella pneumoniae, and gram-negative bacteria were isolated, the reproductive outcome was consistently low [19,20,21,22,23] compared to cases with negative culture. The endometrial microbiome has been studied more thoroughly, and advances in bacteria identification using cultivation-independent techniques have been made, allowing for the characterization of low microbiota populations. Lactobacilli, like the vaginal microbiota, dominate the endometrium of healthy and asymptomatic people [24].

Lactobacillus crispatus

Lactobacillus crispatus-dominated communities can have lower vaginal pH than other species-dominated communities, indicating that L. crispatus is one of the highest producers of lactic acid, a major antimicrobial agent found in lactobacilli [25]. D-lactic acid has been discovered in high concentrations in the vaginal secretions of women with L. crispatus dominant bacteria. This compound can inhibit the formation of EMMPRIN (extracellular matrix metalloproteinase inducer). EMMPRIN activates matrix metalloproteinase 8 [MMP-8], which has been linked to a higher risk of upper genital infections in women who have given birth prematurely. As a result, it's possible that D-lactic acid development is a key factor in preventing preterm birth. L. crispatus can also benefit the immune system. L. crispatus ATCC 33820 inhibits Candida albicans in vitro by modulating the expression of Toll-like receptors [TLR] 2/4, interleukin 8 [IL-8], and human-defensin 2 and 3 in epithelial cells [26]. These studies indicate that the prevalence of L. crispatus, a vaginal microbiota, is a strong indication of a stable vaginal microbial environment when taken together.

Lactobacillus iners

Lactobacillus iners was found in vagina, which is one of the most common vaginal species, and it was difficult to isolate. As opposed to L. Crispatus, which is primarily isolated from healthy women, is found in both healthy and BV-diagnosed women. The species was discovered by [27] and has eluded scientists for a long time [27] because it only grows on blood agar, not MRS or Rogosa. It suggests that women with L. iners have lower D-lactic acid concentrations, which may be one of the factors contributing to the high prevalence of BV in women. An in vitro study and genome analysis of L. iners, which had to prove the species' inability to produce D-lactic acid, backed up this argument [25]. L. iners has been also found in the microbiota form that exists between BV and normal microbiota. L. iners was found to be dominant even after BV was treated with metronidazole gel, according to Jakobsson and Forsum [28, 29].

Bacterial vaginosis and infertility

Gardnerella vaginalis grow in the reproductive tract which is a common cause of bacterial vaginosis and is controlled by Lactobacillus. This is most common in reproductive age women that may cause bacterial vaginosis, which causes millions of healthcare visits per year in the USA. It has been linked to infertility, pelvic inflammatory disorder, endometritis, and the possibility of contracting the human immunodeficiency virus.

As a result, the term BV is misleading because it refers to a condition that affects both the lower and upper genital tracts [30]. The composition and richness of microbial communities are often subject to “normal” fluctuations.

When the level of fluctuation becomes too great, these communities’ microbial relationships must change from symbiotic to pathogenic disease. Abnormal bacterial colonization in the vaginal cavity and its condition of bacterial vaginosis which is related with pathological conditions such as infertility, which is associated with preterm birth (PTB), sexually transmitted diseases, and urinary tract infections are only a few examples [31,32,33]. Different disease symptoms (odor, epithelial integrity, discharge) have been related to particular bacterial species through research into metabolic markers of BV [34]. The use of 16S rDNA sequencing technology revealed that in women with BV, the diversity and abundance of strictly anaerobic bacteria’s populations have increased.

The same anaerobic species that grow in women’s reproductive tract cause symptomatic BV (Gardnerella, Atopobium, Mobiluncus, and Prevotella), and it is also close to a bacterial population condition found in asymptomatic safe women [34, 35]. Women have a wide range of vaginal microbiomes, which may create bacterial signatures of bacterial vaginosis and temporal changes in the vaginal microbiome as a result of reproductive cyclicity, personal hygiene, and other factors.

Vaginal microbiomes are prone to temporal fluctuation, making it difficult to differentiate between BV-causing bacteria and opportunistic bacterial species that colonize and populate them in the reproductive tract as well as the vaginal cavity’s climate shifts. Since the vaginal microbiome differs from person to person, determining the bacterial “signature” of BV as a result of temporal adjustments in the vaginal microbiome during reproductive cyclicity, personal hygiene, or other multiple variables is difficult. Developing effective BV therapies has become more complex due to the difficulty in detecting a causative pathogen. According to research on the different Lactobacillus species during pregnancy, Lactobacillus iners expression was closely associated with PTB [36].

Similarly, which is shown that women have abnormal bacteria that colonize in the vaginal cavity, and bacterial vaginosis [BV] are the capability to increased risk for preterm birth [PTB], early pregnancy loss [37] and failure of IVF therapy [38]. These findings indicate that profiling the pregnancy-associated vaginal microbiome with more advanced “next-generation” sequencing could aid in identifying patients at high risk for PTB.

Seminal microbiome and infertility

Infertility affects 10–20% of couples around the world, and care can be stressful, intrusive, and expensive. The infertility male factor is responsible for almost half of all infertility cases [39, 40]. There are so many genetic, immunological, and anatomical factors that may cause inflammation in the male genital tract which is related to male factor infertility [41]. Inflammation may trigger lower sperm quality through a variety of mechanisms, including impaired accessory gland secretion, oxidative stress, anatomical sperm tract obstruction, or microorganism’s directly attacking the sperm [42]. These microorganisms may affect spermatozoon function without the use of reactive oxygen species or inflammatory cytokines by adhering directly to the spermatozoon or producing soluble factors capable of altering sperm motility and/or inducing apoptosis without causing inflammation [43, 44]. The research of seminal microbiota is still in its early stages, and many concerns about how inflammation and urogenital infections that can affect male infertility which remains unanswered.

Future directions

The concept that the human reproductive tract’s microbiome influences reproductive function as well as female reproductive efficiency, and offspring health and disease is gaining attraction; however, potential microbiome study must prioritize the field’s major gaps and employ meticulously planned studies with broad sample sizes, sufficient control groups, and paired control specimens. To date, only the bacterial communities of the microbiomes of the reproductive tract have been studied. Protozoa, archaea, fungi, and viruses are all part of the microbiome. Other than bacteria, studies of microorganism species in the human microbiome are a promising research area because these microorganisms are likely to be present in the reproductive tract as well.

Conclusions

The importance of the microbial environment in various body locations, as well as the role of host-microbial interactions in physiological functions, has received a lot of attention in the last decade. Lactobacillus species colonize the female reproductive tract predominantly in healthy reproductive-age women, while disease, reproductive failure, and obstetric complications are related to the presence of dysbiotic or pathogenic bacteria. Metagenomics research has the ability to vastly improve our existing knowledge of vaginal microbial diversity in health and disease. Infertility testing can benefit from metagenomics profiling because it provides more precise diagnostic criteria. The reproductive tract’s microbiome is being better understood.

Availability of data and materials

Not applicable.

Abbreviations

PCR:

Polymerase chain reaction

LBR:

Live birth rate

IVF:

In vitro fertilization

NGS:

Next-generation sequencing

BV:

Bacterial vaginosis

PTB:

Preterm birth

TLR:

Toll-like receptors

MMP-8:

Matrix metalloproteinase 8

EMMPRIN:

Extracellular matrix metalloproteinase inducer

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Acknowledgements

The authors acknowledge the Pacific Medical University and Hospital, for providing facilities and support during the study.

Funding

The study has been funded by the Department of Science and Technology Govt. of Rajasthan India.

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MV, ST, and LBY designed and wrote the manuscript. ST, LBY, and PT revised the article. All authors have read and approved the manuscript. MV, ST, and LBY contributed equally.

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Correspondence to Manisha Vajpeyee.

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Vajpeyee, M., Yadav, L.B., Tiwari, S. et al. To understand the reproductive tract microbiome associated with infertility through metagenomics analysis. Middle East Fertil Soc J 26, 31 (2021). https://doi.org/10.1186/s43043-021-00078-z

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  • DOI: https://doi.org/10.1186/s43043-021-00078-z

Keywords

  • Reproductive microbiome
  • In vitro fertilization
  • Semen microbiome
  • Lactobacillus
  • Metagenomics