Microbiota composition and distribution along the female reproductive tract of women with endometriosis

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This study found altered microbial distribution in the female reproductive tract of endometriosis patients, with decreased Lactobacillus and increased specific OTUs in the cervix and upper tract, suggesting cervical microbiota may indicate endometriosis risk.

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Wei et al. studied 36 women with pelvic endometriosis and 14 controls undergoing laparoscopy for benign gynecologic conditions, collecting specimens from lower vagina sites (lower third and posterior fornix), cervical mucus, and upper sites (endometrium and peritoneal fluid), then performing 16S rRNA V4–V5 amplicon sequencing. They found that microbiota distribution changes continuously along the female reproductive tract, with Lactobacillus-dominated communities in the lower tract of both groups, while significant differences in community diversity in cervical samples of endometriosis patients emerged and increased toward the upper tract. The study reported decreased Lactobacillus in vaginal flora and increased signature OTUs in the cervical “transaction zone” and in the upper reproductive tract (endometrium and peritoneal fluid) in endometriosis. A major caveat is that endometrium samples were only available for a subset (26 endometriosis and 11 controls), and the authors relied on 16S sequencing of low-biomass specimens with negative controls but no cultivation. This paper is centrally about endometriosis — it maps microbiota composition and gradients across the female reproductive tract in women with endometriosis.

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Abstract

Endometriosis (EMS) is a multifactorial disease that affects 10%-15% women of reproductive age and is associated with chronic pelvic pain and infertility. The pathogenesis of EMS has not been consistently explained until now. In this study, we involved 36 endometriosis patients and 14 control subjects who performed laparoscopic surgery due to gynecological benign tumor. The samples from lower third of vagina (CL), posterior vaginal fornix (CU), cervical mucus (CV), endometrium (ET) and peritoneal fluid (PF), were collected and sequenced by 16S rRNA amplicon. The continuous change of the microbiota distribution was identified along the reproductive tract. The flora in lower reproductive tract (CL, CU) were dominated by Lactobacillus. Significant difference of the community diversity began showing in the CV of EMS patients and gradually increased upward the reproductive tract. It indicates the microbiota in cervical samples is expected to be an indicator for the risk of EMS. This study also highlights the decreasing of Lactobacillus in vaginal flora and the increasing of signature Operational Taxonomic Units (OTUs) in transaction zone (CV) and upper reproductive tract (ET, PF) of EMS patients, which reflect the alteration of microbial community associated with EMS, participation of specific colonized bacteria in the EMS pathogenesis and relationship between microbiota and development of disease.
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Abstract

Endometriosis (EMS) is a multifactorial disease that affects 10%–15% women of reproductive age and is associated with chronic pelvic pain and infertility. The pathogenesis of EMS has not been consistently explained until now. In this study, we involved 36 endometriosis patients and 14 control subjects who performed laparoscopic surgery due to gynecological benign tumor. The samples from lower third of vagina (CL), posterior vaginal fornix (CU), cervical mucus (CV), endometrium (ET) and peritoneal fluid (PF), were collected and sequenced by 16S rRNA amplicon. The continu- ous change of the microbiota distribution was identified along the reproductive tract. The flora in lower reproductive tract (CL, CU) were dominated by Lactobacillus. Significant difference of the community diversity began showing in the CV of EMS patients and gradually increased upward the reproductive tract. It indicates the microbiota in cervical samples is expected to be an indicator for the risk of EMS. This study also highlights the decreasing of Lactobacillus in vaginal flora and the increasing of signature Operational Taxonomic Units (OTUs) in transaction zone (CV) and upper reproductive tract (ET, PF) of EMS patients, which reflect the alteration of microbial community associated with EMS, participation of specific colonized bacteria in the EMS pathogenesis and relationship between microbiota and devel- opment of disease.

Keywords

Endometriosis, 16S rRNA gene amplicon sequencing, Microbial community composition, Microbial distribution © The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creat iveco mmons .org/licen ses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creat iveco mmons .org/publi cdoma in/ zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Introduction

Endometriosis (EMS) is a condition in which cells similar to those in the endometrium, the layer of tissue that nor - mally covers the inside of the uterus, grow outside of it [1]. It may cause severe primary dysmenorrhea, infertility and pelvic mass, which seriously affect the reproductive ability and life quality. According to previous study, EMS occurred in as high as 10%–15% women of reproduc - tive age, and the incidence rate is increasing year by year [2–4]. Despite different hypotheses for the development of the EMS were reported, the pathogenesis of EMS is still hard to consistently explained even after a 300 years’ investigation [5–7]. Many studies have detected a variety of possible endotoxins in the peritoneal cavity of EMS patients that could regulate the pro-inflammatory reac - tion and promote the growth of endometriosis [7–9]. Lipopolysaccharide (LPS) is one of the endotoxins func - tioned via Toll-like receptor 4 (TLR4), which is produced by bacteria [10, 11]. Therefore, some scholars proposed “bacterial contamination hypothesis” as the key factor to the pathogenesis of EMS [12]. The previous study has been reported that the bacterial colonization is shown in the menstrual blood of women with EMS by the detec - tion of E. coli [13]. Also, the bacterial endotoxins prob - ably translocate from gut to pelvic cavity [14]. As a result, higher concentration of endotoxin (Lipopolysaccharide) Open Access Annals of Clinical Microbiology and Antimicrobials *Correspondence: [email protected] †Weixia Wei and Xiaowei Zhang contributed equally to this work 1 Department of Obstetrics and Gynecology, Peking University Shenzhen Hospital, Shenzhen 518036, China Full list of author information is available at the end of the article Page 2 of 8Wei et al. Ann Clin Microbiol Antimicrob (2020) 19:15 are detected in the menstrual blood and peritoneal fluid [13]. In addition, through the culturing approach on endometrial samples, increased bacterial colonization is demonstrated in the intrauterine microbiota. Interest - ingly, the treatment of the gonadotropin releasing hor - mone agonist (GnRHa) shifts vaginal pH to higher than 4.5 by altering the bacterial community and increases the risk of endometriosis [15]. However, to further investigate and clarify the “bacte - rial contamination hypothesis” , the primary limitation is the low abundant of intrauterine microorganisms, and the exhaustive bacterial community composition is hard to address via traditional culturing method [15], not to mention most of the bacteria is uncultured according to the current technique [16]. Hence, based on the previ - ous study, the understanding of the intrauterine micro - bial colonization still remains largely unexplored. In 2017, Chen et al. applied the new generation sequencing

Method

of 16S rRNA gene amplicon to elaborate that the distinct microbial community was continuously harbored along the female reproductive tract, including cervical canal, uterus, fallopian tubes and peritoneal fluid [17]. Then, the microbial structure and function in the upper reproductive tract were revealed by metagenomic analy - sis [18]. These studies not only break the traditional con - cepts on uterine sterility, but also opens up new research

Methods

for the study of female reproductive tract dis - eases, such as endometriosis. In this study, we invited 16S rRNA amplicon sequenc - ing method to study the flora distribution and bacterial community based on different taxonomic levels across the whole (upper and lower) reproductive tract of the EMS patients and non-EMS women. Through the com - parative analysis, the alteration of the microbiota along the reproductive tract was evaluated, the EMS-specific bacterial species colonized was identified and the rela - tionship between the flora and disease development was inferred. It provides a new way to explore the pathogen - esis of endometriosis and offers a more comprehensive understanding of the bacterial factors on EMS.

Materials and methods

Study population This study was approved by the Medical Ethics Commit - tee of Peking University Shenzhen Hospital. Informed consent was completed for all subjects enrolled in the study. Fifty patients involved in this study were aged 23–44  years (31.47  years old in average) who took the laparoscopic surgery between December 2013 and July 2014 in Peking University Shenzhen Hospital due to benign gynecological diseases or pelvic endometrio - sis. Despite we included the same sampling cohort as our previous study, the current study focused on EMS patients and the association between microbiota and endometriosis phenotype. According to the pathology examination, they were divided into two groups: 36 cases for the study group, and 14 for control group. All of the study cases were pelvic endometriosis, and 16 cases were in I ~ II stage and 20 were in III ~ IV stage which deter - mined according to EM staging method revised in 1985 by the American Fertility Association (Revised American Fertility Society, r-AFS). 14 subjects in the control group were performed laparoscopic surgery due to gynecologi - cal benign tumor, including 7 cases of ovarian teratoma, 4 cases of serous cystadenoma, 3 cases of uterine fibroids. Also, no endometriosis symptom was shown in control individuals confirmed both by surgery observation and pathology assay. All the women selected in this study have a regular menstrual cycle (28 ± 2.2  day/cycle) and followed exceptional rules including acute inflammation, malignant tumors and autoimmune diseases. In addition, they had no recorded of using hormonal drugs or anti - biotics within 6  months and vaginal medications within 3 months. Sample collection and treatment Samples were collected 3–7  days after the menstrual period (early follicular phase) from five different sites throughout the reproductive tract, 3 from lower sites and 2 from upper ones. Those located in lower reproductive tract included lower third of vagina (CL), posterior vagi - nal fornix (CU) and cervical mucus (CV), which collected before taking any therapeutic methods. A sterile swab rotated gently for 3 to 5 circles to obtain the secretions and stored in a 2  ml tubes (Chenyang Hua, Shenzhen). For the upper reproductive tract samples, endometrium (ET) and peritoneal fluid (PF) were taken during the operation. ET samples were obtained by injecting 2  ml of sterile saline to uterine cavity using a sampler (Huales Medical Machinery, Ningbo), then absorbing the uter - ine lavage fluid after 1 min and placing in the 5 ml tubes. During the surgery, about 10  ml peritoneal fluid from Douglas pouch were extracted as PF samples and placed in 15  ml centrifuge tubes. All samples were immediate pre-frozen in dry-ice after collection, and then trans - ferred to - 80 °C for storage to avoid freezing and thawing. In addition, negative control samples were collected carefully which use the same sampling tools and methods performed on saline instead. Rare biomass was detected from these samples and this information has been con - firmed in our previous study [17]. Sample microbial genome DNA extraction and detection Total DNA of the sample was extracted using QiaGen QIAamp DNA Mini Kit (QIAGEN, Germany) and the quality was determined by a Qubit Fluorometer. The Page 3 of 8 Wei et al. Ann Clin Microbiol Antimicrob (2020) 19:15 V4–V5 region of the 16S rRNA genes was amplified by PCR with universal primersV4-515F (5ʹ-GTG CCA GCMGCC GCG GTAA-3ʹ) and V5-907R (5ʹ- CCG TCA ATTCMTTT RAG T-3ʹ). The purity and integrity of the PCR product were measured by 0.6% agarose gel electro - phoresis. The DNA samples were stored at -20 °C for the further requirements. 16S rRNA amplification of V4‑V5 region and Ion proton PGM platform sequencing Amplification of the 16S rRNA V4-V5 region fragment were carried out using the total DNA by Ion torrent PGM sequencing platform for V5 → V4 reverse sequenc - ing (BGI, Shenzhen). Data analysis The raw data obtained by sequencing was analyzed by Mothur (V1.33.3) software, and the OTUs were subjected to species annotation.

Results

Microbial composition and distribution of the in the reproductive tract Samples on five different reproductive tract locations (CL, CU, CV, ET and PF) were systemically collected from 50 women in this study, which included 36 EMS patients and 14 women without any endometriosis symp - tom. We collected 50 samples for each location except ET ones only obtained from 26 EMS patients and 11 con - trol individuals. As a result, 237 samples were subjected to the 16S rRNA gene amplicon sequencing. According to the dominant genus identified from the sample, we grouped them into the following seven types. The sam - ples dominated by Streptococcus were determined as type I; Lactobacillus as type II; Gardnerella as type III; a mix - ture of Prevotella, Veillonella, Atopobium, Veillonellaceae and others as type IV; Veillonellaceae as type V; a mixture of Pseudomonas, Acinetobacter, Vagococcus and others as type VI and Comamonas as type VII. The microbiota in different site of the reproductive tract of every indi - vidual were presented in Fig.  1 with the abundance of the genera. In general, most of them in lower reproduc - tive tract (CL, CU and CV) were dominated by Lactoba - cillus which belong to type II, while it totally changed in the upper reproductive tract. In ET and PT, higher diver - sity was presented, and type IV and V occurred more frequently. The bacterial community distribution in CL was simi - lar to CU samples, which consisted by type I, II, III and IV. For EMS cases, the numbers of types identified in CL were 0, 28, 3 and 5 respectively (Fig.  1a). While for CU, pretty similar distribution was showed as 0, 26, 3 and 7 (Fig.  1b). In the control cases, the distribution numbers in type I, II, III and IV were 2, 10, 0 and 2 for CL and 2, 9, 0 and 3 for CU respectively. The results indicated that the microbiota of the female lower reproductive tract was mainly dominated by Lactobacillus (type II) either in EMS patients or the control subjects, and higher abun - dance was presented in CL (74.6% in average) than in CU. Among CV samples, we found the decrease of the Lac - tobacillus abundance and the appearance of Veillonel- laceae (type V) (Fig.  1c). The case numbers of the type I, II, III, IV and V from EMS patients were 0, 23, 1, 11 and 1 respectively, while 2, 9, 0, 3 and 0 cases in control group. 3 type II CV samples of EMS patients shifted to type IV and V in CU, but no control cases changed. It demonstrated that a trend of Lactobacillus reducing was occurred in EMS patients. However, Lactobacillus was still the dominant in CV samples, accounting for 63.9% and 64.3% in the EMS and the control group, respec - tively. Although there was no significant difference in type II between EMS and control through the statistical analysis, type IV community in these two groups were significantly different (p value < 0.05). In total, 26 ET samples from EMS patients and 11 from control were sequenced and moved to further analysis. The dominates fell into 4 types, including I, II, VI and VII (Fig. 1d). The ratio of type II in EMS cases was cut down more than 50% in ET when compared to CV. While in control, the ratio of Lactobacillus was at the same level all through the lower reproductive tract. Interestingly, type VI presented highest abundance among all types in ET samples, which was not detected in the lower repro - ductive tract samples. Besides, the proportion of type VI in EMS patients were significantly higher than that in the control group which further manifested the different microbial distribution occurred in EMS. The composition of the microbiota in PF samples from two groups were presented in Fig.  1e. All sam - ples in the PF have no distinct dominant bacteria and Fig. 1 The distribution of the dominate bacterial species colonized in female reproductive tract were presented, including a vagina (CL), b posterior vaginal fornix (CU), c cervical mucus (CV), d endometrium (ET) and e peritoneal fluid (PF) of the EMS patient group and control group. The roman numerals labeled on the clades represent the classified flora types. The fade-in red cubes stand for the different abundance gradually from 0% to 100% (See figure on next page.) Page 4 of 8Wei et al. Ann Clin Microbiol Antimicrob (2020) 19:15 Page 5 of 8 Wei et al. Ann Clin Microbiol Antimicrob (2020) 19:15 harbored a more complicate and diverse microbiota. We can barely find the existence of Lactobacillus in PF samples. Meanwhile, genus belongs to type IV rep - resented a larger proportion in PF than in ET, which accounted for 34/36 (94.4%) and 11/14 (78.6%) in EMS and control group. Furthermore, genus Comamonas (type VII) appeared only in PF samples from both EMS and the control group among all the reproductive tract locations. Signature species in the reproductive tract of patients with EMS To dress a comprehensive understanding toward the microbial difference throughout the reproductive tract between EMS patients and non-EMS people, the signa - ture OTUs were defined by Wilcoxon-rank sum test with p value < 0.05 (Fig. 2). In general, the OTUs with signifi - cant difference between two groups in the lower repro - ductive tract mostly belong to Lactobacillus species, which were considered as the probiotic in the vaginal. The various may result from the individual difference. In −5 −4 −3 −2 −1 0 CL_OTU Abundance(lg) −5 −4 −3 −2 −1 0 Lactobacillus sp.(1081) Lactobacillus sp.(843) Lactobacillus sp.(663) Aerococcus sp.(33) T C −5 −4 −3 −2 −1 0 CU_OTU Abundance(lg) −5 −4 −3 −2 −1 0 Lactobacillus sp.(940) Prevotella sp.(35) Lactobacillus iners(1105) T C −5 −4 −3 −2 −1 0 CV_OTU Abundance(lg) −5 −4 −3 −2 −1 0 Lactobacillus sp.(803) Lactobacillus sp.(925) Lactobacillus sp.(707) Lactobacillus sp.(752) Lactobacillus iners(628) Mobiluncus sp.(87) Leptotrichiaceae(5) Lactobacillus iners(230) Aerococcus sp.(33) Dysgonomonas sp.(150) Paenibacillus sp.(302) Pseudomonas viridiflava(133) Leucobacter sp.(148) Enterococcus sp.(361) Acinetobacter sp.(104) Micrococcaceae(261) Pseudomonas sp.(201) Shewanella sp.(147) Paracoccus sp.(95) Comamonadaceae(48) Caulobacteraceae(67) Erysipelotrichaceae(54) Pseudomonadaceae(72) Dysgonomonas sp.(27) Delftia sp.(12) Comamonadaceae(34) Sphingobium sp.(29) Pseudomonas viridiflava(37) Arthrobacter sp.(28) Vagococcus sp.(11) T C −5 −4 −3 −2 −1 0 ET_OTU Abundance(lg) −5 −4 −3 −2 −1 0 Lactobacillus sp.(550) Lactobacillus sp.(523) Dialister sp.(311) Macrococcus caseolyticus(393) [Exiguobacteraceae](858) Lactobacillus sp.(62) Oscillospira sp.(423) Rhizobiales(216) Enterococcus casseliflavus(336) Sutterella sp.(195) CLostridiales(21) Lactobacillus sp.(47) Prevotella sp.(50) Parvimonas sp.(49) Prevotella copri(294) Megasphaera sp.(10) Leptotrichiaceae(5) [Ruminococcus] gnavus(129) Dialister sp.(31) Rhodobacteraceae(93) Coriobacteriaceae(2) Prevotella sp.(15) Stenotrophomonas acidaminiphila(1043) Tissierella_Soehngenia sp.(841) Dysgonomonas sp.(1009) Vagococcus sp.(629) Erysipelotrichaceae(731) [Tissierellaceae](611) Pseudomonas sp.(691) Acinetobacter sp.(801) Pseudomonadaceae(540) Pseudomonadaceae(435) Acinetobacter sp.(282) Pseudomonas viridiflava(327) Delftia sp.(111) Sphingobium sp.(191) Sphingobium sp.(29) T C PF_OTU Abundance(lg) −5 −4 −3 −2 −1 0 Sutterella sp.(494)Agromyces sp.(399) Wolbachia sp.(602)Lactobacillus sp.(62)[Ruminococcus] gnavus(129)Pseudomonadaceae(893)Acinetobacter sp.(979)Enterobacteriaceae(521)Arthrobacter sp.(163)Sphingobacterium multivorum(249)Pseudomonadaceae(20)Hyphomicrobium sp.(207)Planomicrobium sp.(730)Pseudomonas sp.(714)Sphingobium sp.(1121)Vagococcus sp.(743)Dysgonomonas sp.(1009)[Tissierellaceae](653)Acinetobacter sp.(770)Shewanella sp.(585)Pseudomonas fragi(476)Pseudomonadaceae(540)Pseudomonas sp.(229)Pseudomonas sp.(587)Pseudomonadaceae(435)Sphingobium sp.(508)[Tissierellaceae](419)Pseudomonas sp.(319)Pseudomonadaceae(346)Shewanella sp.(403)Pseudomonas sp.(241)Pseudomonas viridiflava(327)Dysgonomonas sp.(193)Vagococcus sp.(187)Micrococcaceae(261)Sphingobium sp.(191)CLostridiales(116)Erysipelothrix sp.(70)Acinetobacter guillouiae(105)Sphingomonas sp.(79)Pseudomonadaceae(72)Sphingobium sp.(29) T C a b c d e Fig. 2 The signature OTUs identified in the different sites of female reproductive tract were shown, including a vagina (CL), b posterior vaginal fornix (CU), c cervical mucus (CV), d endometrium (ET) and e peritoneal fluid (PF). Blue bar and purple bar note higher abundancy were occurred in EMS patients and healthy women, representatively. The signature OTUs were defined by Wilcoxon-rank sum test with p value < 0.05 Page 6 of 8Wei et al. Ann Clin Microbiol Antimicrob (2020) 19:15 the CU samples, Lactobacillus iners was enriched in the EMS patients which indicated there may be some special pathway in this species associated with EMS. However, from CV, ET to PF, especially in PF, many species showed their specificity either in EMS samples or control ones. As the microbiota composition of CL and CV was sim - ilar and mainly dominated by Lactobacillus, only 4 and 3 species with significant different abundance obtained from the analysis and most of them were Lactobacillus sp. (Fig.  2a, b). Among them, Lactobacillus iners which manifested higher abundance in control cases was worth raising here since it is one of the important species inhab - ited in the healthy female reproductive tract. While, for those did not belong to Lactobacillus, Aerococcus sp. (33) from CL and Prevotella sp. (35) from CU were enriched in EMS patients. In CV, where located at the transition zone between lower and upper reproductive tract, Vagococcus sp. [11], Arthrobacter sp. (28), Pseudomonas viridiflava (37), Sphingobium sp. (29), Comamonadaceae (34) and Delftia sp. [12] at the species level were significantly enriched in the EMS group (p < 0.05), as well as family Pseudomon - adaceae (72), Erysipelotrichaceae (54) and Caulobac - teraceae (67). In the control group, Lactobacillus sp. remained its significant higher abundance (Fig.  2c). For the ET samples, signature species in EMS cases were Sphingobium sp. (29), Sphingobium sp. (191), Delftia sp. (111), Pseudomonas viridiflava (327) and Acinetobac - ter sp. (282). At family level, Pseudomonadaceae (435) was significantly enriched in the EMS group (p < 0.05) (Fig.  2d). Even so, more significant different OTUs enriched in PF samples from EMS group (p value < 0.05), including Sphingobium sp. (29), Pseudomonadaceae (72), Sphingomonas sp. (79), Acinetobacter guillouiae (105), Erysipelothrix sp. (70), Clostridiales (116), Sphin - gobium sp. (191), Micrococcaceae (261), Vagococcus sp. (187), Dysgonomonas sp. (193), Pseudomonas viridiflava (327), Shewanella sp. (403), Pseudomonadaceae (346), Pseudomonas sp. (319), Tissierellaceae (419) and Sphin - gobium sp. (508) (Fig.  2e). Notably, Sphingobium sp. (29) and Pseudomonas viridiflava (327) were significantly enriched both in the ET and PF from EMS patients, which could identify as the microbial marker of EMS.

Discussion

We here applied 16S rRNA gene sequencing to evaluate the microbial community along the female reproduc - tive tract of the endometriosis patients, which con - firmed the existence of the microorganism and distinct community composition in the lower third of vagina (CL), posterior vaginal fornix (CU), cervical mucus (CV), endometrium (ET) and peritoneal fluid (PF). After addressing the difference between EMS patient and non-EMS women, the microbiota structure was altered in EMS and signature species were determined. The pathogenesis of EMS is complex, and there is still no perfect theory to explain its pathogenesis. Sampson proposed the transfusion theory of menstrual blood in the 19th century and this still been widely supported [19]. Liu and Lang believes the activity of endometrial cells determines the development of EMS [20]. How - ever, a group of scientists followed the explanation of Khan, which is the bacterial contamination hypothesis due to the discovery of bacterial colonization in the endometrium of EMS patients [12, 15, 21]. In the cur - rent study, many significant different OTUs presented in the flora of ET and PF inferred the specific micro - bial community existed in EMS. According to the above three hypotheses and this study, the pathogenesis of EMS could start from the intrauterine chronic inflam - mation reaction induced by specific bacterial contami - nation, and the immune response accelerated the cell generation of endometrium, which led to the EMS. On the other hand, the retrograde menstrual blood could be the great substrate for bacteria in the pelvis, and the bacterial colonization could largely increase the risk of EMS. Hence, the understanding of the microbiota through all the female reproductive tract in the EMS patients is greatly contributes to the exploration of EMS pathogenesis. Up to now, the research on the distribution of female reproductive flora is mainly focuses on vaginal micro - biota or limited to small-scale exploratory on the sin - gle site [22–24]. Although the previous study has found the intrauterine bacterial colonization in EMS patients by 16S rRNA gene sequencing analysis, the study did not establish a control group [15]. In this study, a multi- site sample of the reproductive tract was collected from 36 EMS patients and 14 non-EMS patients by a strictly controlled sampling method under the surgery condi - tion. The 16S rRNA gene sequencing analysis showed the microbiota difference but continuum along the female reproductive tract. The structure of the flora in the lower reproductive tract (CL, CU, CV) of the same individual is relatively stable, mainly dominated by Lactobacillus (type II). However, Lactobacillus was dramatically decreased in the upper reproductive tract of EMS patients and the flora type was shifted to a diverse one (type IV). In addi - tion, the abundance of Lactobacillus was even lower in PF samples. The diversity of the community increased in upper reproductive tract by the occurrence and even dominance of Pseudomonas, Acinetobacter and Vagococ - cus. Therefore, the pattern of the distribution of genital tract flora in reproductive-age women is different either in the upper and lower reproductive tract or in the EMS and non-EMS subjects. Page 7 of 8 Wei et al. Ann Clin Microbiol Antimicrob (2020) 19:15 The signature species of EMS was selected to address the different microbiota in specific sites. Firstly, the proportion of Lactobacillus in the EMS patient’s lower reproductive tract (CL, CU) was less than control cases, and the case number of non-Lactobacillus dominated microbiota significantly increased in CV. In the control group, CL, CU and CV were consistently dominated by Lactobacillus sp., which was similar to the distribution of healthy women [25–27]. Meanwhile, signature OTUs gradually increased from lower to upper reproductive tract and reached the peak in pelvic cavity. These findings suggest a distinct genital tract microflora in EMS patient and provide a prediction for EMS-prone individuals. It is also worth noting that Sphingobium sp (29) and Pseu - domonas viridiflava (327) were significantly enriched in ET and PF, revealing the abundance of these two species might play a key role in EMS pathogenesis. The endo - metrium and peritoneal fluid should also be regarded as represent sites to study the EMS reproductive tract microecology. Although we depicted the relationship between micro - biota or specific species and EMS, it still has its limita - tions. Firstly, a larger and multi-central cohort research is needed to further confirm the effect of the microbiota. Secondly, more healthy control cases should be included to exclude the interference of other gynecologic diseases. What’s more important, to investigate the functional network of these microbes and evaluate how the spe - cies interact with the host is the essential path to clinical applications.

Conclusion

In summary, from lower to upper reproductive tract, a significant difference in the distribution of the microbiota began showing in the CV of EMS patients and gradually increased upward the reproductive tract. The microbiota in cervical samples is expected to be an indicator for the risk of catching EMS. The decreasing of Lactobacillus in vaginal flora and the increasing of signature OTUs in transaction zone (CV) and upper reproductive tract (ET, PF) of EMS patients reflect the EMS-associated altera - tion of microbial community, the participation of specific colonized bacteria in the EMS pathogenesis, as well as the relationship between microbiota and development of disease. Importance We believe that our research provided valuable micro - bial data to the studies of female reproductive tract (FRT) and this is the first time of elaborating the detailed microbiota associated with EMS. The dynamic of microbiomes related with the micro-environment should be considered as a critical feature for future study of pathogenesis not only for EMS, but also for other FRT diseases.

Acknowledgements

The dataset was obtained by BGI-sequencing Platform and the statistical anal- ysis was done by the team in the Metagenomic Center of the BGI-research. We appreciate their help and support. Authors’ contributions RW and WW were the principal investigators who contribute the idea and designed study. RW directed the project which included this study also. The manuscript was organized and drafted by XZ and WW. XZ also revised the manuscript. WW, HR and LZ enrolled in the work of sample collection, patient recruitment, clinical information capturing. All authors read and approved the final manuscript. Funding This study was funded by grants from the Shenzhen Science and Tech- nology Innovation Committee Technical Research Project (Grant No. JCYJ20150601090833370 and JSGG20180703164202084), Medical Scientific Research Foundation of Guangdong (Grant No. A2019035). Availability of data and materials The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request. Ethics approval and consent to participate This study was approved by the Medical Ethics Committee of Peking Uni- versity Shenzhen Hospital. Informed consent was completed for all subjects enrolled in the study. Consent for publication This manuscript does not contain data from any other person. So not applicable. Competing interests The authors declare that they have no competing interests. Author details 1 Department of Obstetrics and Gynecology, Peking University Shenzhen Hospital, Shenzhen 518036, China. 2 Shenzhen Key Laboratory on Technology for Early Diagnosis of Major Gynecological Disease, Shenzhen 518036, China. 3 BGI-Shenzhen, Shenzhen 518083, China. Received: 29 July 2019 Accepted: 6 April 2020

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mesh:D004715endometriosischronic_pelvic_paininfertility

MeSH descriptors

Endometriosis Microbiota Vagina Adult Bacterial Typing Techniques China Cohort Studies Endometriosis Female Humans Microbiota Risk Factors RNA, Ribosomal, 16S RNA, Ribosomal, 16S Vagina Young Adult

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