Development of a mouse model of ascending infection and preterm birth

Nicholas R Spencer; Enkhtuya Radnaa; Tuvshintugs Baljinnyam; Talar Kechichian; Ourlad Alzeus G Tantengco; Elizabeth Bonney; Ananth Kumar Kammala; Samantha Sheller-Miller; Ramkumar Menon

doi:10.1371/journal.pone.0260370

. 2021 Dec 2;16(12):e0260370. doi: 10.1371/journal.pone.0260370

Development of a mouse model of ascending infection and preterm birth

Nicholas R Spencer ^1,^#, Enkhtuya Radnaa ^1,^#, Tuvshintugs Baljinnyam ², Talar Kechichian ¹, Ourlad Alzeus G Tantengco ^1,³, Elizabeth Bonney ⁴, Ananth Kumar Kammala ¹, Samantha Sheller-Miller ¹, Ramkumar Menon ^1,^*

Editor: Jefferson Terry⁵

PMCID: PMC8638907 PMID: 34855804

Abstract

Background

Microbial invasion of the intraamniotic cavity and intraamniotic inflammation are factors associated with spontaneous preterm birth. Understanding the route and kinetics of infection, sites of colonization, and mechanisms of host inflammatory response is critical to reducing preterm birth risk.

Objectives

This study developed an animal model of ascending infection and preterm birth with live bacteria (E. coli) in pregnant CD-1 mice with the goal of better understanding the process of microbial invasion of the intraamniotic cavity and intraamniotic inflammation.

Study design

Multiple experiments were conducted in this study. To determine the dose of E. coli required to induce preterm birth, CD-1 mice were injected vaginally with four different doses of E. coli (10³, 10⁶, 10¹⁰, or 10¹¹ colony forming units [CFU]) in 40 μL of nutrient broth or broth alone (control) on an embryonic day (E)15. Preterm birth (defined as delivery before E18.5) was monitored using live video. E. coli ascent kinetics were measured by staining the E. coli with lipophilic tracer DiD for visualization through intact tissue with an in vivo imaging system (IVIS) after inoculation. The E. coli were also directly visualized in reproductive tissues by staining the bacteria with carboxyfluorescein succinimidyl ester (CFSE) prior to administration and via immunohistochemistry (IHC) by staining tissues with anti-E. coli antibody. Each pup’s amniotic fluid was cultured separately to determine the extent of microbial invasion of the intraamniotic cavity at different time points. Intraamniotic inflammation resulting from E. coli invasion was assessed with IHC for inflammatory markers (TLR-4, P-NF-κB) and neutrophil marker (Ly-6G) for chorioamnionitis at 6- and 24-h post-inoculation.

Results

Vaginally administered E. coli resulted in preterm birth in a dose-dependent manner with higher doses causing earlier births. In ex vivo imaging and IHC detected uterine horns proximal to the cervix had increased E. coli compared to the distal uterine horns. E. coli were detected in the uterus, fetal membranes (FM), and placenta in a time-dependent manner with 6 hr having increased intensity of E. coli positive signals in pups near the cervix and in all pups at 24 hr. Similarly, E. coli grew from the cultures of amniotic fluid collected nearest to the cervix, but not from the more distal samples at 6 hr post-inoculation. At 24 hr, all amniotic fluid cultures regardless of distance from the cervix, were positive for E. coli. TLR-4 and P-NF-κB signals were more intense in the tissues where E. coli was present (placenta, FM and uterus), displaying a similar trend toward increased signal in proximal gestational sacs compared to distal at 6 hr. Ly-6G+ cells, used to confirm chorioamnionitis, were increased at 24 hr compared to 6 hr post-inoculation and control.

Conclusion

We report the development of mouse model of ascending infection and the associated inflammation of preterm birth. Clinically, these models can help to understand mechanisms of infection associated preterm birth, determine targets for intervention, or identify potential biomarkers that can predict a high-risk pregnancy status early in pregnancy.

Introduction

Spontaneous preterm birth (PTB) and preterm prelabor rupture of the fetal membranes (pPROM) are major complications of pregnancy that impact ~ 11% of all pregnancies around the globe [1]. PTB and pPROM are associated with several risk factors, including genetic, race/ethnicity, geographic location, socio-economic status, prior history, and family history, all of which may impact more than one pregnancy over time [2, 3]. Conversely, risk factors such as maternal and intraamniotic infections, inflammation, behavioral, vascular, and endocrine dysfunctions during pregnancy can generate very complex dynamic biochemical and/or biomechanical pathways that can manifest as PTB or pPROM [2, 4] during an index pregnancy. Maternal and fetal infections and host inflammatory responses are associated with ~ 50% of all PTB and 70% of all pPROM [2, 3]. Infection and host inflammatory responses are also contributors to various morbidities in preterm neonates [5–8]. Cerebral palsy, periventricular leukomalacia, enterocolitis, and the autism spectrum of disease are linked to infection and infection-associated host inflammatory responses [9–15]. Understanding these dynamic risk factors and their interactions with feto-maternal uterine tissues is critical to reducing the incidence of PTB and pPROM and associated morbidities.

Isolation of microbes from various feto-maternal tissues and increased presence of inflammatory mediators in amniotic fluid, cord and maternal plasma, and cervico-vaginal fluid of women with PTB or pPROM indicates a mechanism by which disease manifests via ascending infection [16–23]. Ascending vaginal infection leading to microbial invasion of the intraamniotic cavity (MIAC) and the establishment of intraamniotic infection and inflammation (IAI) is the most hypothesized path of infection associated PTB and pPROM [3, 24–26]. Systemic maternal infections (e.g., periodontal disease, urinary infections, bacteremia) [27–29] or the introduction of microbes directly to the amniotic cavity during invasive procedures (e.g., fetal surgery, chorionic villous sampling, amniocentesis) are also ways by which microbial colonization initiates [15, 24, 30–32]. Antimicrobial interventions have not been successful in reducing the incidence of PTB or pPROM and are often controversial due to developmental impacts on children exposed to antibiotics in utero [33–35]. These outcomes suggest gaps in our current understanding of how pathogen propagation and colonization at sterile sites mechanistically induce labor or cause membrane rupture.

The severity of infection and host inflammatory response are dependent on the type of pathogen, their load, and polymicrobial etiology [36–38]. Microbial isolates and proinflammatory markers (cytokines, chemokines, matrix degrading enzymes etc.) are often similar in both PTB with intact membranes and pPROM [39]. In cases with documented intraamniotic infection, the dichotomy between some women delivering preterm with intact membranes and others with pPROM suggests that intrauterine colonization and/or infection (mechanisms, functional pathways, and biomarkers) can produce distinct pathologic pathways and outcomes in different subjects [40–45]. In pPROM, microbial colonization has been associated with membrane weakening due to collagen rich extracellular matrix degradation [46]. However, it has been reported that bacterial collagenases are not specifically designed to degrade human collagens. This may suggest that endogenous activation of host inflammatory response is essential to cause the pathologic changes observed [47, 48]. The precise pathologic mechanisms that can lead to infection-associated diverse pregnancy complications are still unclear. A reliable model can advance our knowledge and help to develop strategies to mitigate the risk of infection and inflammation associated with PTB and pPROM.

Animal models have been reliably used to address questions related to infection during pregnancy. Intraperitoneal or intrauterine lipopolysaccharide (LPS) and other microbial antigen injection has been used traditionally to mimic infection by many laboratories including our own [49–55]. Although several valuable pieces of information have been generated, the doses and route of LPS administration employed by these studies may bias innate immune responses and bypass natural host defense mechanisms. Therefore, the effects of these experimentally produced exposures may not completely mimic the conditions associated with human infection-associated PTB. To overcome this limitation, several animal models have been created either with live ascending infection or systemic infection to understand relevant mechanisms. A recent classic report by Suff et al. demonstrated that intravaginal administration of two bioluminescent strains E. coli, a nonpathogenic and another pathogenic, induced preterm delivery and development of fetal neuroinflammation in response to an ascending infection model [56].

Reliable and reproducible models are needed to show MIAC and IAI. In this study, we recreated an ascending infection model with vaginal inoculation of Escherichia coli (E. coli) in a CD-1 mouse model of pregnancy. We determined the bacterial dose-dependent pregnancy outcome (PTB), the kinetics of ascension, route of transmission, and development of uterine tissue inflammation. Clinically, these models are expected to improve the quality of studies that will determine various agents of intervention to reduce the risk of adverse pregnancy outcomes, avoid interventions that may not be beneficial during pregnancy, and generate potential biomarkers to predict high risk pregnancy status.

Materials and methods

Mouse model of preterm birth

All animal procedures were approved by the Institutional Animal Care and Use Committee (IACUC) at the UTMB. Timed pregnant CD-1 mice were purchased from Charles River Laboratories (Houston, TX, USA) and received on a gestational day 14 (E14) and were housed in a temperature and humidity-controlled facility with 12:12-h light and dark cycles. On E15, pregnant mice were anesthetized deeply with inhalation of isoflurane and subjected to vaginal administration of bacteria by delivering 40 μL of bacterial suspension using 200-ml pipet tips. A volume of 40 μL was chosen based on previous studies showing vaginal administration without leakage while containing the selected CFU. As controls, the same volume of sterile nutrient broth (Difco™ nutrient broth, BD Biosciences, Cat. # BD234000, Lot. 9219600) was administered for all experiments. Animals were continuously monitored using Wansview cameras (Shenzhen Wansview Technology Co., Ltd, Shenzhen, China) to determine the timing of delivery.

Escherichia coli (E. coli) culture

The strain of bacteria used in this study is ATCC 12014 Escherichia coli O55:K59(B5):H- obtained from Remel Laboratory of Thermo-Fisher (Thermo Fisher Scientific, Remel Products, Lenexa, KS, USA, Lot# 496291). The bacteria were cultured in sterile, non-selective nutrient broth (BD Biosciences) and stocks were stored at -80°C in 20% glycerol.

Dose determination for E. coli inoculation

To introduce bacteria at the specified doses, we generated a standard curve to predict live bacteria quantity based on their colony forming unit (CFU) [57, 58]. For each independent experiment, 0.5 ml of bacterial stock was transferred to 200 ml of Luria Broth (LB) and cultured for 16 hr at 37°C with 200 rpm agitation. On the day of experiment, OD₆₀₀ value was determined for the culture in triplicate measurements with a spectrophotometer (D30 BioPhotometer, Eppendorf, Hamburg, Germany). Using the average value of OD₆₀₀, we estimated the CFU for that culture via a predetermined formula [required volume (mL) = (target (CFU) x number of animals) / current (CFU/mL)]. Occasionally, we prepared 1.5x of the needed volume for the target CFU by transferring the bacterial culture to a centrifuge tube and centrifuging at 4000 xg for 10 min. This pellet was resuspended in a pre-determined volume of LB. In these circumstances, the main fraction of culture (1x) was used for the animal experiment and remaining fraction (0.5x) was diluted and spread on LB-agar plates (Difco™ nutrient agar, BD Biosciences, San Jose, CA, USA, Cat. # BD213000, Lot. 9218604) (in triplicates). After overnight culture at 37°C, the colonies were counted and the CFU were calculated. Finally, actual CFU was compared to the target CFU and throughout the study the variability of the CFUs were within ±18% from the target CFU [58].

Preparation of E. coli for vaginal administration

On the day before the experiment, 0.5 mL of frozen bacterial stock was transferred to 200 mL of nutrient broth and cultured overnight at 37°C with shaking at 200 rpm. Sixteen h later, an OD₆₀₀ was measured in order to calculate the equivalent CFU, then the required volume of culture was transferred to a centrifuge tube and spun at 4000g for 10 min. After centrifugation, the aqueous phase was carefully removed without disturbing the pellet, and the resulting bacterial pellet was resuspended in a predetermined volume of sterile broth and introduced to the mouse, as described above.

Determination of dose required to induce preterm birth

Bacteria were administered vaginally to the mice on E15 at varying doses (10³, 10⁶, 10¹⁰, and 10¹¹ CFU) or equivalent volume of sterile nutrient broth as control. Mice were then recorded via camera and timing of delivery (defined as delivery of first pup) was documented. Delivery on or before E18.5 contributing to developmentally immature pups was considered PTB [59].

DiD staining of E. coli for IVIS imaging

Lipophilic tracer DiD (DiIC18(5); 1,1′-dioctadecyl-3,3,3′,3′- tetramethylindodicarbocyanine, 4-chlorobenzenesulfonate salt; Invitrogen, Thermo Fisher Scientific, Carlsbad, CA, Cat. # D7757, Lot. 2186103) was used to stain the bacteria for subsequent imaging to monitor ascending infection through the uterine cavity. We used DiD to label E. coli for whole tissue imaging with IVIS to avoid autofluorescence and phototoxic effects. Bacteria (10¹¹ colony forming units, CFU) were stained with either 100 μM or 500 μM DiD for 30 min at 37°C, and excess dye was washed three times with broth. The bacteria were centrifuged at 4000 g for 10 minutes for each wash. DiD-stained bacterial pellets were resuspended in 40 μL of broth and administered vaginally to E15 mice as described above. Mice were sacrificed at 6 hr after the bacterial administration because our ascending infection kinetic showed bacterial invasion within 6 hr, and the reproductive organs, whole intact uterus, including the embryos, were removed, and transferred on ice to Biomedical Imaging Facility, UTMB, and imaged with IVIS Spectrum CT In Vivo Imaging System (PerkinElmer, Waltham, MA, USA). After imaging the uterus, proximal and distal embryos were removed from the uterine cavity and the placenta, fetal membrane, embryo, and cervix were imaged separately with IVIS.

Carboxyfluorescein succinimidyl ester (CFSE) staining of E. coli for immunofluorescence imaging

For E. coli detection in the tissue sections with histology, we used fluorescent dye CFSE to label the bacteria. Bacteria (10¹⁰ CFU) were stained with 10 μM of CFSE (Invitrogen, Carlsbad, CA, USA, Cat. # 65-0850-84, Lot. 2178212) for 30 min at RT, washed three times with broth, and spun down at 4000 xg for 10 min for each wash. The bacterial pellets were resuspended in 40 μL of broth and vaginally administered to E15 mice as described above. Mice were then sacrificed at 6, 24, or 48 hr after bacterial administration. Frozen sections of reproductive tissues (cervix, uterus, placenta, fetal membrane, and pups) were subjected to microscopic analysis for the CFSE signal as described previously [60]. Briefly, the collected tissues were fixed in 4% PFA overnight at 4°C, then incubated in 30% sucrose for additional 24 hr at 4°C for cryoprotection. The next day, tissues were embedded in Tissue-Tek optimal cutting temperature (OCT) compound (Sakura Finetek, Tokyo, Japan). Sections (10 μM) were air-dried at RT for 40 min to allow tissues to adhere to precoated hydrophilic slide glasses (Matsunami Glass, Osaka, Japan). After washing with TBS-T (Tris-buffered Saline + Tween-20) to remove OCT, the sections were stained with DAPI for 5 min, mounted with Mowiol (Calbiochem, San Diego, CA, USA, Cat. # 475904), and visualized with a Keyence microscope (Keyence Corp., Osaka, Japan). Images were analyzed with BZ-X800 Analyzer (Keyence Corp).

Bacterial culture from amniotic fluid and maternal blood

A dose of 10¹¹ CFU E. coli versus sterile nutrient broth was administered vaginally to E15 mice. The mice were sacrificed 6 or 24 hr after administration. Maternal blood was collected from the right ventricle, cooled on ice for 30 minutes, and centrifuged at 2000g for 10 min. The serum was collected and stored at -80°C and a bacterial loop full of blood was cultured on MacConkey agar (Millipore Sigma, Louis, MO, USA, Cat. # M7408-250G), incubated at 37°C, and examined and photographed on days 1 and 5 for microbial growth. The amniotic fluid from each gestational sac was collected using aseptic technique and centrifuged at 4000g for 10 minutes. The supernatant was collected and stored at -80°C and the pellet was resuspended in sterile Endotoxin-Free Dulbecco’s PBS (1X) (w/o Ca++ & Mg++) (Millipore Sigma, Cat. # TMS-012-A), cultured on MacConkey agar, incubated at 37°C, and examined and photographed on days 1 and 5.

Tissue collection for formalin-fixed paraffin embedded (FFPE)

Each pup, fetal membranes, placenta, and corresponding uterine segment were separately stored in 10% neutral buffered formalin for 30–48 hr. The tissues were then processed through gradient ethanol for dehydration followed by xylene and were embedded in paraffin as reported previously [61–63].

Immunohistochemistry (IHC)

Paraffin-embedded sections were cut 5 μm thick, mounted on precoated hydrophilic glass slides (Matsunami Glass), dried at 37°C to ensure adherence to the slides, and stored at 4°C until use. Sections were baked at 50°C overnight before staining. Paraffin sections were deparaffinized in 3 changes of xylene for 10 min each, then rehydrated through a series of graded alcohols with a final rinse in distilled water. Sections were then subjected to antigen retrieval by heating at 121°C in citrate buffer for 20 min. The slides were then rinsed in distilled water, TBS, and blocked with 3% BSA/TBS-T for 1 h at RT. Then, tissues were stained with anti—E. coli antibody (Abcam, Cambridge, MA, USA, Cat. # ab137967, 1:1000 df), anti-Ly-6G/Ly-6C antibody (RB6-8C5) (Novus Biologicals, Littleton, CO, USA, Cat. # NBP2-00441, 1:100 df) and anti-TLR-4 antibody (Novus Biologicals, Littleton, CO, USA, Cat. # NBP2-24821, 1:200 df) diluted in 3% BSA/TBS-T overnight at 4°C. The next day, the tissues were washed then incubated with secondary antibody (Alexa Fluor® 594, Abcam, Cat# ab150080, Lot: GR3323881-1 with 1:1000 df for E. coli, TLR-4, and DyLight 650, Novus Biologicals, Cat # NBP2-60688C, Lot: 39933-102120-c with 1:1000 df for Ly-6G/Ly-6C) for 2 h at RT followed by DAPI staining. Images were obtained and analyzed as described above using the BZ-X800 Analyzer (Keyence Corp).

Gentamicin administration

To determine if antibiotic intervention can delay ascending infection-induced PTB, 10¹¹ CFU E. coli infected mice were treated with a single dose of 20mg/kg of gentamicin [64] via tail vein intravenous injections 4 and 24 hr after the exposure to the bacteria. Mice then were video monitored until delivery.

Statistical analysis

Statistical analysis was performed using the GraphPad Prism 8.0 software (GraphPad, San Diego, CA). Statistical parameters associated with the figures are reported in the figure legends. All data are reported as the mean ± SEM. Statistical significance in differences between experimental groups to controls was assessed as following: unpaired t-test for E. coli dose dependent preterm birth study, paired t-test for neutrophils quantification and Fisher’s exact test for the rates of preterm birth. Significance was considered at P < 0.05.

Results

Dose dependent induction of preterm birth by E. coli

As shown in Fig 1, animals injected with liquid broth (LB, plain microbial culture medium—control) delivered at term whereas a dose dependent shortening of time interval to delivery was seen in E. coli injected animals. Time to delivery after administration of varying doses of E. coli demonstrated shorter latency periods with increasing doses of E. coli. Administration of 10³ and 10⁶ CFU E. coli induced PTB in 78.4 ± 8.9 and 64 ± 18.7 h, respectively whereas 10¹⁰ CFU induced PTB within 48 hr (41.73 ± 7.5) and 10¹¹ CFU induced preterm birth within 30 h (29.5 ± 6.3) of E. coli administration (S1 Fig). PTB produced non-viable pups regardless of dose. Phenotypic outcome (PTB) was our primary objective and fetal tissue inflammation, or other maternal or neonatal clinical outcomes were not determined.

Vaginally administered E. coli ascends through the uterine cavity

IVIS imaging detected no signal from reproductive tissues after administration of sterile liquid broth (microbial culture media -control) or unstained E. coli. DiD dye alone showed limited signal at the cervix; however, DiD stained E. coli showed stronger signal intensity in the cervix and proximal portions of the uterine cavity, but not in the distal portion (Fig 2). When the reproductive tissues were imaged separately, strong DiD signal was observed in the placenta, fetal membranes, and fetus of the most proximal to cervix, but not in the same tissues of the most distal (to cervix) gestational tissues. This suggested that the bacteria carrying the dye invaded from the vagina and through the proximal reproductive tissues before reaching the distal portion of the uterus.

Fig 2 — Fetuses, fetal membranes, and placentas collected from proximal to cervix and distal to cervix were imaged with in vitro imaging system (IVIS) 6 hr after vaginal administration of 10¹¹ CFU of E. *coli* to E15 pregnant mice (N = 3). Cervix and proximal placentas, fetal membranes and fetuses show bacterial invasion (red), while distal organs show no bacterial invasion. DiD—(DiIC18(5); 1,1′-dioctadecyl-3,3,3′,3′- tetramethylindodicarbocyanine, 4-chlorobenzenesulfonate salt).

When tissues from animals injected with CFSE-stained E. coli were examined, CFSE signal was detected in the uterus, fetal membranes, and placenta of the infected mice compared to control. This signal was detectable at 6 hr after administration but became stronger at 24 hr. The signal was noted to become diffuse, likely through death and division of stained E. coli (S2 Fig). To better localize the E. coli within gestational tissues, we used an anti-E. coli antibody and immunohistochemistry. This method showed the presence of an E. coli signal in the cervix, uterus, fetal membranes, and pups (Figs 3A, 4B, 5A, 5D and S3 Fig).

Fig 3 — (A) Graphic illustration of ascending infection evaluation via MacConkey agar culture and immunohistology. CFU- colony forming unit. AF- amniotic fluid. Reprinted from biorender under a CC BY license, with permission from biorender, original copyright. (B) E. *coli* culture on MacConkey agar using amniotic fluid collected from each separate embryo. Control culture shows no growth of bacteria (blue) for both 6 and 24 hr after bacterial administration. Culture of amniotic fluid from E. *coli*-administered (10¹¹ CFU) mice indicates incomplete invasion at 6 hr (half-way green) for both uterine horns (L-left, R-right) and complete invasion (full-way green) at 24 hr for both uterine horns (L and R).

Fig 4 — (A) Schematic illustration of mouse reproductive tissues and close-up display of an embryo in the uterine cavity. Reprinted from biorender under a CC BY license, with permission from biorender, original copyright. (**B-D,** N = 3). Immunohistochemical analysis of cervix collected 6 hr after vaginal administration of 10¹¹ CFU of E. *coli*. E. *coli* detected in the cervical sections (B, *see white arrow*, E. *coli positive staining)*. Infected cervix shows higher expression of TLR-4 (C) and P-NFkB (D) compared to control cervix (Scale bar, 100 μm). The close-up displays the enlarged tissue area marked by white boxes (Scale bar, 50 μm).

At 6 hr after inoculation, the uterus and fetal membranes showed signal in proximal gestational tissues, but not in the distal tissues (Fig 5A and 5D). Interestingly, the oropharynx of the pup nearest to cervix showed colonization by E. coli, but the pup farthest from the cervix showed no signal (S3 Fig).

Recovery of E. coli from amniotic fluid

Amniotic fluid samples collected from each horn on both sides were cultured on MacConkey’s agar for testing for microbial growth. Colonies of E. coli showing classic characteristics of E. coli were seen (dry, flat, round, and lactose fermenting). None of the amniotic fluid from control mice grew colonies on the MacConkey agar (Fig 3B). Additionally, none of the maternal blood cultures showed growth, indicating absence of maternal bacteremia (S5A and S5B Fig). However, when the amniotic fluid from each gestational sac was cultured separately, it was noted that the proximal amniotic fluid specimens formed colonies more often than the distal amniotic fluid specimens (Fig 3B, S4C Fig). The farthest pups (from cervix) were negative in the first 6 hr compared to proximal ones. However, cultures were positive in all amniotic samples collected at 24 hr, suggesting microbial invasion in all amniotic cavities (Fig 3B). This suggests that bacteria invade the amniotic sacs in a stepwise sequential fashion from proximal to distal intraamniotic cavities (Fig 4A).

Vaginally administered E. coli induces inflammation

Serial sections and immunohistochemistry were used to localize E. coli, as well as to show the presence of inflammatory markers in the same region. As shown in Fig 4B, E. coli was seen in cervical tissues within 6 hr and TLR-4 and P-NF-κB was also localized in the same region (Fig 4C and 4D). Positively stained inflammatory markers were detected in sections from E. coli-injected animals than in sections from control media-injected animals. Similar localization using immunohistochemical staining was done in uterine and fetal membrane tissues (Fig 5). As shown in Fig 5A, the number of cells positive for E. coli was much higher in the proximal uterus within 6 hr. Expression of both TLR-4 and P-NF-κB were also higher in proximal compared to distal horns (Fig 5B and 5C). Liquid broth (control) injected animal tissues remained negative for E. coli as expected with minimal levels of TLR-4 and P-NF-κB. This is expected as a low-level inflammation is expected in these tissues on E15 and E16 as the process of labor is expected to begin around this time in this model. Fig 5D and 5F shows a similar trend in fetal membranes. E. coli reached the fetal membranes of proximal horns within 6 hr (Fig 5D) along with increased TLR-4 (Fig 5E) and P-NF-κB (Fig 5F). As seen in the uterus, distal horns showed a weak staining suggesting time dependency of microbial invasion.

E. coli induces histologic chorioamnionitis (HCA)

Next, we examined induction of HCA, a classic inflammatory signature in the fetal membranes, indicative of severity of infection and host inflammatory response by the presence of neutrophils (ly-6G+ cells). For determining HCA, Ly-6G staining was performed on membranes collected at 6 and 24 hr. As shown in Fig 6, a few Ly-6G positive cells were seen in tissues from liquid broth injected animals, indicative of normally resident neutrophils in the membranes [51, 65]. We have shown that normal fetal membranes (in humans) have ~7% CD45+ cells of which neutrophils are a predominant constituent [65]. A slight increase, but not significant numbers, in Ly-6G+ cells were seen at 6 hr in the fetal membranes of animals injected with E. coli (Fig 6B) that was increased substantially within 24 hr (Fig 6A and 6B).

Fig 6 — A. Immunohistochemistry analysis of mice fetal membranes collected from 6 and 24 hr after 10¹¹ CFU of E. *coli* vaginal administration (N = 3). Neutrophil infiltration detected at 24 hr after the bacterial infection in the fetal membrane tissues (white arrows pointing to Ly-6G positive cells). However, 6 hr after bacterial infection, neutrophil detection was comparable to non-infected controls. (Scale bar, 100 μm). B. Quantification of neutrophils in fetal membrane in (A). Number of Ly-6G positive cells per random fields (N = 3). The data are presented as means ± SEM.* P = 0.0219, paired t-test.

Discussion

PTB and pPROM are associated with MIAC and IAI [3, 4, 6, 25]. However, these conditions are often clinically diagnosed very late and management strategies focus primarily to delay labor by a few hours or days for administration of antibiotics or steroids. Unfortunately, these approaches have not reduced the risk of prematurity (low birth weight < 2,500 grams) or morbidities associated with PTB [1, 66, 67]. To improve pregnancy outcomes, better models that can provide mechanistic evidence of establishment of infection and development of inflammation causing PTB and or pPROM are needed. Using an ascending model of infection of E. coli, we determined the following: 1. We developed an ascending infection model where vaginal inoculation of E. coli produced a dose dependent pregnancy outcome (PTB). Higher dose of E. coli (10¹⁰ CFU) caused PTB in 48 hr compared to lower doses (10³ CFU and 10⁶ CFU) that delivered near term, 2. After high dose infection, E coli was localized in cervix, uterus and in the amniotic cavity of pups proximal to cervix within 6 hr and in amniotic fluid and tissues from distal horns within 24 hr. 3. Ascending high dose infection induced TLR-4 activation, a ligand for LPS (Gram negative [E. coli] cell wall component) and activated proinflammatory transcription factor P-NF-κB expression. Both TLR-4 and P-NF-κB were co-localized in tissues along with E. coli, 4. Activation of inflammatory markers was not widespread in 6 hr; however, all feto-maternal uterine tissues showed signs of inflammation within 24 hr, 5. Inflammation of all horns and feto-maternal tissues preceded preterm delivery and 6. MIAC and IAI induced histologic chorioamnionitis where fetal membranes of infected animals showed higher number of neutrophil infiltrations compared to control animals. This model not only replicated the results from Suff et al. [56] but determined the kinetics of microbial ascension further. We were able to show the tissue specific inflammation and development HCA with our model. Fetal tissue (lung, brain, heart etc.) testing for infection and/or inflammation associated changes was not attempted in this study. We conclude that the model described here showed natural progression of infection and development of inflammation leading to PTB. This model is suitable to study MIAC and IAI associated mechanistic pathways in PTB.

To introduce experimental rigor and to test validity of our data, a subset of our animals was injected with gentamicin (20 mg/kg) 4 and 24 hr after the E. coli injection. Gentamicin after 4 hr led to 100% term delivery whereas gentamicin after 24 hr delayed PTB in 40% of animals (S6 Fig). Multiple inferences can be made from this outcome: 1. Although invasion of amniotic cavity may begin as early as 6 hr of injection in this model, establishment infection in all fetal sacs does not occur until 24 hr. Administration of antimicrobial agents prior to establishment of IAI may reduce the risk of PTB, 2. Similarly, inflammation is also limited at early stages; however, HCA and increased inflammatory marker expressions seen at 24 hr diminished antimicrobials’ effect to mitigate PTB. The condition observed at 24 hours is often faced in high-risk clinics and late administration of antimicrobials neither delays nor minimizes tissue inflammation including HCA.

Although our model established MIAC and IAI associated PTB, multiple challenges still remain to further define and mitigate the process in humans. 1. The exact timing of a pregnant subject getting infected is difficult to assess unless there is a clinical indicator 2. The kinetics of MIAC in humans (subclinical infection) is difficult to predict, especially during a polymicrobial infection, and 3. Inflammation and inflammatory markers show tremendous heterogeneity and therefore, a biomarker indicative of an underlying specific infectious etiology is difficult to assess. In several instances, non-infectious (sterile infections) etiologies also show similar inflammatory biomarker profiles both in humans and mouse models [61, 68–71].

Current biomarker clinical trials in humans have not generated a serum marker specifically indicative of early signs of preterm birth [72–75]. Therefore, novel strategies of biomarker research have been discussed and several potential approaches have been discussed to predict high risk pregnancies at very early stages pregnancy [76] and the studies of animal models, such as the one we present here, could potentially guide future human studies that will be critical in delineation of clinical signs and predictive markers specific for very early infection. Some of these strategies include, cervico-vaginal microbiome, cell free mRNA and proteome-based biomarkers in maternal plasma, fetal membrane and placental cells in maternal circulation, and fetal and maternal exosomes and their cargo profile are a few such approaches [76]. Although these biomarkers are in their early stages of discovery and validation, many of these markers have yielded promising results to show that they may predict high risk pregnancies as early as first trimester [77–80]. Future studies of animal models, such as the one we present here, may be critical in delineation of clinical signs and predictive markers specific for very early infection.

There are several animal models reported for PTB; however, only limited number of articles had experimental models and approaches that can yield data to understand microbial invasion and potential mechanisms [59, 81, 82]. Although no animal models completely mimic human parturition, preclinical mouse models have provided valuable information regarding mechanisms as seen in humans to design future human trials. This model also has limitations as we did not perform live imaging of microbial ascension and E. coli is not the most common microbial pathogen associated with PTB and pPROM. Therefore, this model needs to be further tested with microbes that are more commonly associated with MIAC, IAI and PTB (e.g., genital mycoplasmas, Gardnerella). Recently, we developed an organ-on-a-chip (OOC) model of ascending infection [83]. Using multiple cells from the feto-maternal interface, we were able to demonstrate the kinetics of ascending infectious stimulus and generation of inflammatory mediators in response to a stimulus [83]. OOC model is developed to overcome certain limitations associated with animal models, 2D cell cultures, transwell models and organ explant models and it maintains intercellular interactions, flow of biochemical between tissues and generate scenarios like that seen in utero. These models need further development and validation and simultaneous testing with animal models to show that human cell based OOCs can adequately replace animal models to study pregnancy complications. This new step, along with models such as delineated here, may enhance translatability to the human condition.

In summary, the animal model presented here is reproducible and provides a model for testing various ascending infection of various severities. Clinically, these models can generate a knowledge base from which to understand mechanisms of infection associated preterm birth, determine targets for intervention or identify potential biomarkers that can predict a high-risk pregnancy status early in during pregnancy.

Supporting information

S1 Fig. E. coli induced preterm birth (PTB) in a dose dependent manner.

Higher doses of E. coli (10¹¹ CFU and 10¹⁰ CFU) delivered significantly shorter time frame compared to control (LB) (P<0.001 and P = 0.002, respectively). Low dose of E. coli (10⁶ CFU and 10³ CFU) delivered in shorter time frame compared to control, however not significantly (P = 0.17 and P = 0.3, respectively). CFU-colony forming unit.

(TIF)

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S2 Fig. CFSE-stained E. coli ascending infection in fetal membrane and uterine tissues collected from 6 hr, 24 hr, and 48 hr after 10¹⁰ CFU dose (N = 3).

Scale bar, 50 μm.

(TIF)

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S3 Fig. Higher rate E. coli detected in pups from proximal part than distal part 6 hr after 10¹¹ CFU of E. coli vaginal administration (N = 3).

Scale bar, 200 μm.

(TIF)

Click here for additional data file.^{(581KB, tif)}

S4 Fig. E. coli growth on MacConkey agar.

Representative images of amniotic fluid recovered bacterial growth on MacConkey agar. (A) Control plate. Negative for E. coli growth. (B) Positive E. coli growth plate.

(TIF)

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S5 Fig. Bacterial culture from maternal blood collected from control (LB) and 10¹¹ CFU of E. coli administered mice.

(A) MacConkey’s agar culture showed no bacterial growth (N = 3). (B) Confirmational culture in the liquid nutritional broth using the samples directly transferred from MacConkey’s agar culture from A.

(TIF)

Click here for additional data file.^{(655KB, tif)}

S6 Fig. Gentamicin treatment reduced preterm birth rate.

Gentamicin (20 mg/kg) at 4 hr after E. coli administration showed 100% prolonged gestation to term delivery compared to controls (PBS only) (P< 0.001) (N = 3); however, same dose given after 24 hours shows 40% effect on increased length of gestation to term delivery compared to controls (P< 0.001) (N = 5).

(TIF)

Click here for additional data file.^{(225.5KB, tif)}

Data Availability

All relevant data are within the paper and its Supporting Information files.

Funding Statement

R.M. Grant Support from ILIAS Biologics & ILIAS Therapeutics, Inc., USA The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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PLoS One. doi: 10.1371/journal.pone.0260370.r001

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Development of a mouse model of ascending infection and preterm birth

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Reviewer #2: Yes

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Reviewer #1: Yes

Reviewer #2: No

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Reviewer #1: Spencer et al.’s manuscript describes an interesting E.coli ascending infection model of preterm birth. The following comments will help to improve the manuscript.

Methods

There is lots of variation amongst infection-related mouse models of preterm birth. In this study, mice were inoculated at E15, what was the rationale behind choosing this gestation time point?

Results

Figure 1 – I would change the scale of the X axis on this graph to show the gestation at delivery more clearly. I prefer Sup Fig1 to show this.

Figure 2- the clarity of the images is poor, are you able to improve this?

Figure 3 – the piecharts in 3B are confusing, I think it would be more clear if this data were shown as % bar charts with 6hr and 24hrs adjacent to each other. Also blue= sterile is not strictly true, so “E.coli growth”/“no growth” is probably better.

Line 274 – where is the fetus infected, it is not very clear from your figure? Could there be contamination or is bacteria seen within the fetus?

Line 310 – change farthest horns to farthest pups in the distal horn

Figure 4 – it is not clear from your legend and your figure what reproductive tissues have been stained, can you please clarify. What exactly does close-up mean, please can you label with microscope magnification.

Figure 4, Figure 5 & 6 should be combined and the labels/legends should be more clear as to what organ has been stained. The pictures are also very blurry, would it be possible to improve the quality of them?

Line 325 & 328 – this sentence is confusing, have you done a formal cell count? If not, then this sentence is misleading.

Line 361 – neutrophil counts would be an important additional experiment here and should be included to improve the paper.

Discussion

Line 390 This statement is not strictly true = Suff et al,’s model shows inflammatory cytokine expression in the uteroplacental tissues and Suff et al., 2020 PMID: 32117260 describes microbial ascension within the E.coli model.

Line 404 – where is this data?

Line 406 – please provide a reference for this statement as this is a bold statement that I am not sure is necessarily true clinically? I don’t believe there is evidence that antimicrobials do not delay inflammation/HCA in women presenting with PTB, particularly in the PPROM cohort (see PMID: 32591087).

Line 416 – preterm birth is missing here, I also think this statement is not necessarily true as quantitative fetal fibronectin is being used clinically in some parts of the world with good prediction PMID: 25932845

Line 415 – I agree that these models are important to understand mechanisms and test therapies but I am not convinced that they will provide biomarkers as murine anatomy/immunology etc is so different, large human studies are key for determining significant biomarkers for PTB.

Reviewer #2: This is a nice, compact, methods paper that outlines the specific timeline and anatomic progression of ascending infection following vaginal inoculation with EColi. The studies are well designed and I have no issue with any of the methods. Given that many animal models of preterm birth use this model or a similar model- it is useful to have well delineated data regarding the time line and confirming actual microbiologic invasion. This will be a useful underpinning to grant applications, study design etc.

A brief rationale of why the specific inflammatory and neutrophil markers were selected would be helpful. Statistically, given small numbers and lack of demonstrated normal distribution - non parametric methods are preferred. The introduction is three pages long - it should probably be cut by about 1/3. The length of the discussion is appropriate. Figure 4a may not be needed is space is an issue - Figure 2 does a nice job of showing the uterine horns. For Figure 2 - it would be helpful to explain DiD in legend.

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PLoS One. 2021 Dec 2;16(12):e0260370. doi: 10.1371/journal.pone.0260370.r002

Author response to Decision Letter 0

14 Sep 2021

Reviewer #1: Spencer et al.’s manuscript describes an interesting E.coli ascending infection model of preterm birth. The following comments will help to improve the manuscript.

Methods

There is lots of variation amongst infection-related mouse models of preterm birth. In this study, mice were inoculated at E15, what was the rationale behind choosing this gestation time point?

E15 mice were chosen for the following reasons: 1) this time point primarily mimic late second trimester-early third trimester period in humans, a highly vulnerable period during pregnancy for development of adverse events, 2) Placental development is not complete in this model until E10 and adequate time period is provided for pregnancy to fully develop and mature 3) it has been reported that senescence, EMT and inflammatory cytokines peak around E18, and senescence-associated inflammation starts in fetal membrane and maternal tissues [PMID: 27324096; PMID: 31814178]. Therefore, a period before these developments are chosen to represent a homeostatic period of intrauterine tissues where pregnancy is considered normal and an induction of labor by infectious agents can be monitored for an adequate period of time prior to the beginning of normal labor process. and 4) Moreover, our reported analysis of inflammatory changes indicated that inflammation related characteristics starts to develop after E15. In this model maternal cervix remodeling and uterine activation was observed by E17 which is the indication of the maternal reproductive tract preparation for the parturition at term and therefore a period before this will represent a balanced inflammatory state that will allow us to determine infection induced changes [PMID: 30679631] [PMID: 30679631].

Results

Figure 1 – I would change the scale of the X axis on this graph to show the gestation at delivery more clearly. I prefer Sup Fig1 to show this.

Thank you for recommending making Fig.1 clearer. We have changed the X-axis of Fig.1 to make it similar to Sup. Fig.1.

Figure 2- the clarity of the images is poor, are you able to improve this?

Thank you for the comment. We have improved the clarity of Fig.2.

Thank you for your comment. We have changed green=infected to “E.coli growth”; blue=sterile to “no growth” as suggested. Pie charts were originally chosen because they parallel the sequential clockwise plating used for the amniotic fluid cultures. We were also asked to represent similar data as pie charts by the Editors of various journals. Therefore, we have not changed. We are more than happy to change if the editor requests.

Line 274 – where is the fetus infected, it is not very clear from your figure? Could there be contamination or is bacteria seen within the fetus?

Thank you for the comment. The resolution of the IVIS was approach will not distinguish bacterial cells and hence we use tagged microbial cells to track their ascent. Therefore, microbial particle level clarity is hard to obtain. To overcome this limitations we have used two additional approaches to determine microbial invasion 1) We performed microbial culture using amniotic fluid samples from proximal fetal compartment. Here we showed E. coli growth in amniotic fluid and 2) Immunohistochemical staining for E coli showed positive staining in the pup (Fig. 3B and Sup. Fig.3, respectively).

Line 310 – change farthest horns to farthest pups in the distal horn

We have now changed as suggested.

We have placed tissue name on the Fig.4 to make it clear. Close-up means the enlarged image from the marked white boxes. We have inserted scale bars on the close-up images and clarified what close-up is in the figure legend as well.

We have combined the Fig. 5 & Fig. 6 as recommended. We have inserted scale bars on the close-up images and clarified what close-up is in the figure legend as well. Close-up images are to make images look clearly.

Line 325 & 328 – this sentence is confusing, have you done a formal cell count? If not, then this sentence is misleading.

We have edited the sentence to read “Positive staining for inflammatory markers were detected in sections from E. coli-injected animals than in sections from control media-injected animals.

Line 361 – neutrophil counts would be an important additional experiment here and should be included to improve the paper.

We have quantified the Ly-6G positive cells in the fetal membrane tissues, and incorporated the data to Fig. 6 (edited Fig.6; old Fig.7) as suggested.

Discussion

We have edited the Line 390 to: This model not only replicated the results from Suff et al.56 but determined the kinetics of microbial ascension further. We were able to show the tissue specific inflammation and development HCA with our model.

Line 404 – where is this data?

We have removed the sentence from the discussion since we did not show the data.

We have rephrased our sentence to: “The condition observed at 24 hours is often faced in high-risk clinics and late administration of antimicrobials neither delays nor minimizes tissue inflammation including HCA.” Since mouse models do not replicate pPROM conditions, it may not be appropriate to compare these data with a pPROM cohort of Dr Kacerovsky.

Multiple systematic reviews and meta-analysis of randomized control trials have shown that prophylactic antibiotics do not reduce the risk of PTL, pPROM, and PTB [ PMID: 17877593; PMID: 19956761; PMID: 24307518; PMID: 25621770]. The American College of Obstetricians and Gynecologists also recommends that women in preterm labor should not be treated with antibiotics for the sole purpose of preventing preterm delivery [PMID: 12738177].

We have put the PTB which was missing.

We have rephrased the sentence to: “Current biomarker clinical trials in humans have not generated a serum marker specifically indicative of early signs of preterm birth”.

We agree that successful prediction has been made Andy Shennan’s group in UK with quantitative Ffn and a few others. It has not yet received widespread acceptance in many clinical practices. Fetal fibronectin has been shown to have good negative predictive value, however its positive predictive value for preterm birth is currently lacking when used alone. [ACOG practice bulletin no. 127 PMID: 22617615]

Thank you for the comment. We have rephrased the sentence to: “Therefore, novel strategies of biomarker research have been discussed and several potential approaches have been discussed to predict high risk pregnancies at very early stages pregnancy76 , and the studies of animal models, such as the one we present here, could potentially guide future human studies that will be critical in delineation of clinical signs and predictive markers specific for very early infection.”

Thank you for your nice comments. Since the readership of PLoS ONE is beyond the general OB audience, we felt that it is necessary to provide adequate background prior to introducing the topic. Therefore, we have not reduced the length.

We have previously shown that after LPS treatment, Ly-6G positive neutrophil cells in mice fetal membrane were detected higher compared to those of the PBS control group [DOI: 10.1126/sciadv.abd3865].

We have provided the DiD explanation in the Fig.2 legend.

Attachment

Submitted filename: Rebuttal Letter_final.docx

Click here for additional data file.^{(21.8KB, docx)}

PLoS One. doi: 10.1371/journal.pone.0260370.r003

Decision Letter 1

Jefferson Terry

9 Nov 2021

Development of a mouse model of ascending infection and preterm birth

PONE-D-21-16450R1

Dear Dr. Radnaa,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

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Reviewer #1: All comments have been addressed

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2. Is the manuscript technically sound, and do the data support the conclusions?

Reviewer #1: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

Reviewer #1: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

Reviewer #1: Yes

**********

6. Review Comments to the Author

Reviewer #1: I am happy with the author's response to my comments - I think this manuscript should be published.

**********

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Reviewer #1: No

PLoS One. doi: 10.1371/journal.pone.0260370.r004

Acceptance letter

Jefferson Terry

19 Nov 2021

PONE-D-21-16450R1

Development of a mouse model of ascending infection and preterm birth

Dear Dr. Radnaa:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

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Thank you for submitting your work to PLOS ONE and supporting open access.

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on behalf of

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

S1 Fig. E. coli induced preterm birth (PTB) in a dose dependent manner.

(TIF)

Click here for additional data file.^{(2.2MB, tif)}

S2 Fig. CFSE-stained E. coli ascending infection in fetal membrane and uterine tissues collected from 6 hr, 24 hr, and 48 hr after 10¹⁰ CFU dose (N = 3).

Scale bar, 50 μm.

(TIF)

Click here for additional data file.^{(711KB, tif)}

S3 Fig. Higher rate E. coli detected in pups from proximal part than distal part 6 hr after 10¹¹ CFU of E. coli vaginal administration (N = 3).

Scale bar, 200 μm.

(TIF)

Click here for additional data file.^{(581KB, tif)}

S4 Fig. E. coli growth on MacConkey agar.

Representative images of amniotic fluid recovered bacterial growth on MacConkey agar. (A) Control plate. Negative for E. coli growth. (B) Positive E. coli growth plate.

(TIF)

Click here for additional data file.^{(387.4KB, tif)}

S5 Fig. Bacterial culture from maternal blood collected from control (LB) and 10¹¹ CFU of E. coli administered mice.

(TIF)

Click here for additional data file.^{(655KB, tif)}

S6 Fig. Gentamicin treatment reduced preterm birth rate.

(TIF)

Click here for additional data file.^{(225.5KB, tif)}

Attachment

Submitted filename: Rebuttal Letter_final.docx

Click here for additional data file.^{(21.8KB, docx)}

Data Availability Statement

All relevant data are within the paper and its Supporting Information files.

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PERMALINK

Development of a mouse model of ascending infection and preterm birth

Nicholas R Spencer

Enkhtuya Radnaa

Tuvshintugs Baljinnyam

Talar Kechichian

Ourlad Alzeus G Tantengco

Elizabeth Bonney

Ananth Kumar Kammala

Samantha Sheller-Miller

Ramkumar Menon

Roles

Abstract

Background

Objectives

Study design

Results

Conclusion

Introduction

Materials and methods

Mouse model of preterm birth

Escherichia coli (E. coli) culture

Dose determination for E. coli inoculation

Preparation of E. coli for vaginal administration

Determination of dose required to induce preterm birth

DiD staining of E. coli for IVIS imaging

Carboxyfluorescein succinimidyl ester (CFSE) staining of E. coli for immunofluorescence imaging

Bacterial culture from amniotic fluid and maternal blood

Tissue collection for formalin-fixed paraffin embedded (FFPE)

Immunohistochemistry (IHC)

Gentamicin administration

Statistical analysis

Results

Dose dependent induction of preterm birth by E. coli

Fig 1. E. coli induced preterm birth (PTB) in dose dependent manner.

Vaginally administered E. coli ascends through the uterine cavity

Fig 2. DiD-stained E. coli ascending infection in the uterine cavity with ex-vivo IVIS imaging.

Fig 3. E. coli ascending invasion occurs in a stepwise fashion from proximal to distal embryos.

Fig 4. E. coli induced inflammation in mouse reproductive tissues.

Fig 5. E. coli induced inflammatory marker stepwise progression is consistent with ascending bacterial infection in mice uterine cavity.

Recovery of E. coli from amniotic fluid

Vaginally administered E. coli induces inflammation

E. coli induces histologic chorioamnionitis (HCA)

Fig 6. E. coli induced neutrophil infiltration in the fetal membranes.

Discussion

Supporting information

Data Availability

Funding Statement

References

Decision Letter 0

Jefferson Terry

Roles

Author response to Decision Letter 0

Decision Letter 1

Jefferson Terry

Roles

Acceptance letter

Jefferson Terry

Roles

Associated Data

Supplementary Materials

Data Availability Statement

ACTIONS

PERMALINK

RESOURCES

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