Literature DB >> 30358826

Circulating Exosomal miRNA Profile During Term and Preterm Birth Pregnancies: A Longitudinal Study.

Ramkumar Menon1, Chirantan Debnath2, Andrew Lai3, Dominic Guanzon3, Shinjini Bhatnagar2, Pallavi K Kshetrapal2, Samantha Sheller-Miller1, Carlos Salomon3,4.   

Abstract

Despite decades of research in the field of human reproduction, the mechanisms responsible for human parturition still remain elusive. The objective of this study was to describe the changes in the exosomal miRNA concentrations circulating in the maternal plasma between mothers delivering term and preterm neonates, across gestation using a longitudinal study design. This descriptive study identifies the miRNA content in exosomes present in maternal plasma of term and preterm birth (PTB) (n = 20 and n = 10 per each gestational period, respectively) across gestation (i.e., first, second, and third trimesters and at the time of delivery). Changes in exosomal miRNA signature in maternal plasma during term and preterm gestation were determined using the NextSeq 500 high-output 75 cycles sequencing platform. A total of 167 and 153 miRNAs were found to significantly change (P < 0.05) as a function of the gestational age across term and PTB pregnancies, respectively. Interestingly, a comparison analysis between the exosomal miRNA profile between term and PTB reveals a total of 173 miRNAs that significantly change (P < 0.05) across gestation. Specific trends of changes (i.e., increase, decrease, and both) as a function of the gestational age were also identified. The bioinformatics analyses establish that the differences in the miRNA profile are targeting signaling pathways associated with TGF-β signaling, p53, and glucocorticoid receptor signaling, respectively. These data suggest that the miRNA content of circulating exosomes in maternal blood might represent a biomolecular "fingerprint" of the progression of pregnancy.

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Year:  2019        PMID: 30358826      PMCID: PMC6394761          DOI: 10.1210/en.2018-00836

Source DB:  PubMed          Journal:  Endocrinology        ISSN: 0013-7227            Impact factor:   4.736


Normal term human parturition is initiated when fetal organ systems are matured at any time between 37 and 40 weeks of gestation. Conventional theories of parturition initiation signaling are primarily linked to fetomaternal endocrine and immune changes in the intrauterine cavity, correlating with fetal growth and development (1). Homeostatic imbalances produced by these changes, specifically biochemicals released by maturing fetal organs, can lead to an inflammatory overload that disrupts the maintenance of pregnancy, resulting in labor-related changes (2–4). More precise knowledge of these signals and their mechanisms in normal term pregnancies can provide insight into pathologic activation of these signals, which can cause spontaneous preterm parturitions. Besides the fetus, fetal components of the intrauterine tissues (fetal membranes and placenta) also contribute to parturition initiation signals. Recently, we and others have reported that senescence of the placenta/membranes generates “sterile inflammation” that can enhance inflammatory load in the maternal uterine tissues capable of triggering parturition (5). Communication between the fetal tissues and maternal organs is fundamental for a healthy pregnancy, and recently the participation of extracellular vesicles, especially in a specific type of extracellular vesicles originated from endosomal compartments, called exosomes, in cell-to-cell communication has been identified (6, 7). We have recently identified the fetal-derived signaling through exosomes by senescent fetal membrane (amniochorion) cells at term (8). Exosomes transport materials from cells and function as intercellular communication channels. Exosomes are generated by the intraluminal invagination of early endosomes, giving rise to multivesicular bodies and released into the extracellular environment upon the fusion of multivesicular bodies with the plasma membranes (9–11). Exosome contents represent the character, that is, the physiologic and metabolic state, of the cell of origin. This makes the exosomes a good vector of paracrine signaling as well as biochemical indicators of function of the cell of origin (9). Therefore, the placenta and placental membrane cells provide functional contributions during pregnancy and signal their status through exosomes, contributing to the pregnancy and promotion of fetal delivery (as well as their own) when the fetus is mature (12). Exosomes are involved in cell-to-cell signaling mainly due to their inherent property to carry bioactive molecules (consisting of proteins, bioactive lipids, and RNAs), which are delivered to the target cells to regulate the biological functions. Interestingly, exosomes are enriched in small noncoding RNA such as miRNAs (13). miRNAs are a class of small (∼22 nucleotides long) noncoding RNAs that negatively regulate gene expression by binding to the 3′ untranslated region of target mRNAs. Interestingly, several studies have demonstrated that changes in the maternal circulating miRNAs or in placental tissues might reflect the maternal metabolic state that may be used as biomarkers of pregnancy complications. Functional studies have also shown the roles of miRNAs in regulating myometrial contractility during parturition (14). However, most studies have been conducted on identifying the total circulating miRNAs (i.e., a mix of soluble, protein-associated, and vesicle-associated miRNAs) and at single time point during gestation, as a cross-sectional study design. Multiple reports have identified the usefulness of placental-derived exosomes in predicting high-risk status for various adverse pregnancy outcomes. These include preeclampsia (15), gestational diabetes (16), and intrauterine growth restriction (17). Thus, the fetal tissue exosomes serve as proxy for underlying tissue level changes in normal and abnormal pregnancies (6). Therefore, the role of circulating exosomes in maternal blood merits further investigation. We designed a non–hypothesis-driven, descriptive study to discover exosome miRNA cargoes that are differentially expressed in total maternal plasma to generate a profile of their longitudinal changes during each stage of gestation and real-time insight into functional changes associated with gestational age in term and preterm birth (PTB) pregnancies. We also determined whether these miRNA signatures differ between preterm and term births and correlated their likely functions and reasons for their overabundance at a given state of pregnancy based on bioinformatics analysis.

Subjects and Methods

Study group and biospecimen collection

A hospital-based cohort of pregnant women was initiated in 2015 at a district hospital in Gurugram, Haryana (Gurugram Civil Hospital, GCH), India by the Pediatric Biology Center, Translational Health Science and Technology. Serial biospecimens are being collected across pregnancy (at the first, second, and third trimesters), at delivery, and after delivery. Ultrasound images are acquired serially during pregnancy, and the period of gestation is confirmed at enrolment by performing a dating ultrasound using standard fetal biometric parameters. Well-characterized clinical and environmental information is also maintained. The sample preparation at the study site is carried out in the research laboratory established at GCH on nationally accredited equipment from the National Accreditation Board for Testing and Calibration Laboratories. Plasma samples are stored at –80°C until analyses. All women provide written informed consent, and the study is approved by the Institute and Hospital Ethics Review Board.

Selection of samples for this study

The selection of biospecimens for this study has been carried using a nested case control design. The cases and controls have been selected from a defined universe comprised of participants who had a normal singleton vaginal delivery, with no congenital abnormalities or associated comorbidity (e.g., preeclampsia, gestational diabetes, pregnancy-induced hypertension, medical condition complicating complication) at any time in pregnancy. The cases were subjects delivered preterm defined as <37 completed weeks period of gestation. Participants who delivered at >37 completed weeks to 40 completed weeks were considered as controls. The cases and controls were matched to parity, sex of the baby, and month of delivery.

Enrichment of exosomes from maternal blood

Exosomes were isolated from plasma as previously described (18). In brief, plasma was diluted with an equal volume of PBS (pH 7.4) and centrifuged at 2000g for 30 minutes at 4°C (Sorvall® high-speed microcentrifuge, fixed rotor; Thermo Fisher Scientific, Asheville, NC). The 2000g supernatant fluid was then centrifuged at 12,000g for 45 minutes at 4°C (Sorvall® high-speed microcentrifuge, fixed rotor; Thermo Fisher Scientific). The resultant supernatant fluid (2 mL) was transferred to an ultracentrifuge tube (10 mL; Beckman, Brea, CA) and centrifuged at 100,000g for 2 hours (Sorvall® T-8100 fixed ultracentrifuge rotor). The 100,000g pellet was suspended in PBS (10 mL) and filtered through a 0.22-μm filter (Steritop™; Millipore, Billerica, MA) and then centrifuged at 100,000g for 2 hours. Finally, the pellet containing the enriched exosome population was resuspended in 250 μL of PBS for the characterization of exosomes and RNA extraction.

Transmission electron microscopy

For electron microscopy analysis, exosome pellets were fixed in 3% (w/v) glutaraldehyde and analyzed under an FEI Tecnai 12 transmission electron microscope (FEI, Hillsboro, OR) as we previously described (19).

Western blot

Western blot was performed to ascertain the identity of the exosomes using exosomal-specific markers (TSG101, CD9, and CD63) as well as Golgi marker Grp94, which is not enriched in exosomes. Standard Western blot protocols were used and the detailed protocols can be seen our prior reports (15, 20–22). An Odyssey® CLx imaging system (LI-COR Biosciences, Lincoln, NE) was used to visualize the fluorescent bands.

Nanoparticle tracking analysis

Nanoparticle tracking analyses were performed using a NanoSight NS500 instrument (NanoSight NTA 2.3 nanoparticle tracking and analysis release version build 0033; Malvern Instruments, Malvern, United Kingdom) following the manufacturer’s instructions. Samples were diluted 1:1000 with Dulbecco’s PBS to obtain 10:100 particles per image (optimal ∼50 particles per image). The NS500 instrument measured the rate of Brownian motion of nanoparticles in a light-scattering system that provides a reproducible platform for specific and general nanoparticle characterization (NanoSight, Amesbury, United Kingdom). Suspended nanoparticles were passed through the laser beam that traversed the sample chamber and scattered the light, discerning the nanoparticles through a microscope. The samples were mixed before introducing them into the chamber (temperature, 25°C), and the camera level was set to obtain an image that had sufficient contrast to clearly identify particles while minimizing background noise (camera level, 10; capture duration, 30 seconds). The captured videos (two videos per sample) were then processed and analyzed. Each video file was processed and analyzed to give the mean and mode of particle sizes, along with the concentration and the number of particles. An Excel spreadsheet was automatically generated and data were imported into GraphPad Prism 7 (La Jolla, CA).

Exosomal RNA isolation

Exosomal RNA was extracted using an RNeasy Mini Kit 50 (Qiagen, Hilden, Germany) and TRIzol LS reagent (Life Technologies, Carlsbad, CA). The manufacturers’ protocols were followed, with slight modifications in accordance with a protocol used previously (20, 23). A spectrophotometer (SPECTROstar Nano microplate reader; BMG Labtech, Cary, NC) was used to quantify RNA concentration. Following a cleanliness check and blank measurement using RNase-free water, 2 μL of sample was pipetted onto each microdrop well on an LVis plate. RNA concentration was measured using MARS data analysis microplate reader software.

Next-generation sequencing

Sequencing libraries were generated using the TruSeq Small RNA Library Prep Kit (Illumina, San Diego, CA), according to the manufacturer’s instructions, and as previously described (19, 20). Two hundred to 800 ng of exosomal RNA was used as input for library preparation. These RNA samples were barcoded by ligation with unique adaptor sequences to allow pooling of samples in groups of 24. Subsequently, these ligated samples were reverse transcribed, PCR amplified, and size selected using gel electrophoresis. Finally, the DNA libraries were eluted from the gel pieces overnight in 200 μL of nuclease-free H2O. The elution containing the pooled DNA library was further processed for cluster generation and sequencing using a NextSeq 500 high-output kit 75 cycles and Illumina NextSeq 500 sequencing platform, respectively.

Statistical analysis and bioinformatics analysis

The number of exosomes released from individuals are represented as mean ± SE (n = 20 for term and n = 10 for PTB, independent isolations from each patient from each trimester). For RNA sequencing, first the FASTQ file generated from next-generation sequencing was preprocessed to remove adaptor sequences using the TagCleaner program (http://edwards.sdsu.edu/tagcleaner). Subsequently, known and novel miRNAs were detected within the preprocessed FASTQ data using the miRDeep2 program (24). After detection, the miRNA counts and corresponding miRNAs were extracted from the output file. Differential expression and statistical analysis of sequencing data were performed by the DESeq2 package in R. This package uses a generalized linear model to perform differential expression. Statistical analysis and significance were calculated using various tests and adjusted for multiple testing. Adjusted statistical significance was assessed as P < 0.001–0.05. Sequencing data have been deposited in the Gene Expression Omnibus database under no. GSE115572. The effect of pregnancy condition (i.e., normal or PTB) on the size distribution (mean and mode) of the exosomes was assessed using a pairwise post hoc test (Tukey honest significant difference test). No significant differences (P > 0.05) were observed.

Results

Description of the participants

Table 1 describes the comparison between the demographic and the clinical characteristics of the cases and controls. No significant differences between various sociodemographic parameters were seen between cases and controls, except for body mass index (which has been adjusted in our analysis).
Table 1.

Clinical and Demographic Characteristics of Cases and Controls

Controls (n = 20): N (%) or Median (IQR)
Cases (n = 10): N (%) or Median (IQR)
P Value
Maternal variables
 Age, y22 (20, 24)22 (20, 23)NS
 Weight, kg49.3 (46.8, 55.0)39.1 (37.0, 43.2)
 Height, cm154.0 (150.0, 158.7)151.8 (146.6, 157.2)NS
 BMI, kg/m220.8 (19.9, 23.9)17.6 (16.0, 19.0)≤0.001
 Period of gestationa at enrollment12+1 (8+2, 13+1)9+2 (7+1, 12+1)NS
 Period of gestationa at visit 2 (between 18 and 20 wk of gestation)18+6 (18+4, 19+0)18+6 (18+5, 19+2)NS
 Period of gestationa at visit 3 (between 26 and 28 wk of gestation)26+2 (26+2, 26+4)26+3 (26+2, 26+5)NS
 Period of gestationa at delivery39+2 (38+6, 40+2)36+0 (35+0, 36+3)≤0.001
Newborn variables
 Placental weight, g460.0 (405.0, 532.5)377.5 (328.0, 433.0)≤0.01
 Baby weight, g3013.0 (2460.5, 3265.5)2148.0 (1980.0, 2442.0)≤0.001

Data are presented as N (%) or median (IQR). All pregnancies were normal singleton vaginal delivery with no congenital abnormalities and with no associated comorbidity at any time in pregnancy. The cases and controls were matched to parity, sex of the baby, and month of delivery. A standard two-tailed Student t test was used for comparisons between control and case samples. Statistical significance was assessed as P < 0.001–0.05. Statistical significance was found in maternal variables (BMI, period of gestation at delivery) and newborn variables (placental weight, baby weight).

Abbreviations: BMI, body mass index; IQR, interquartile range; NS, not significant.

Period of gestation is calculated by dating ultrasound performed at the time of enrollment.

Clinical and Demographic Characteristics of Cases and Controls Data are presented as N (%) or median (IQR). All pregnancies were normal singleton vaginal delivery with no congenital abnormalities and with no associated comorbidity at any time in pregnancy. The cases and controls were matched to parity, sex of the baby, and month of delivery. A standard two-tailed Student t test was used for comparisons between control and case samples. Statistical significance was assessed as P < 0.001–0.05. Statistical significance was found in maternal variables (BMI, period of gestation at delivery) and newborn variables (placental weight, baby weight). Abbreviations: BMI, body mass index; IQR, interquartile range; NS, not significant. Period of gestation is calculated by dating ultrasound performed at the time of enrollment.

Exosome isolation and characterization

Particles between 30 and 120 nm were identified on nanoparticle tracking analysis and analyzed per trimester (Fig. 1A–1C), and the cup-shaped morphology was identified using electron microscopy (Fig. 1D). Exosomes were found to be positive for CD63, CD9, and TSG101 (Fig. 1E) but negative for Golgi marker Grp94. No differences were observed in size distribution, protein abundance (CD9, CD63, and TSG101), and morphology between exosomes isolated from term and PTB.
Figure 1.

Isolation of exosomes. Exosomes were isolated from maternal plasma obtained from normal and PTB pregnancies across gestation (see “Subjects and Methods”). (A–C) Graphical representation of the vesicle size distribution using a NanoSight NS500 instrument at different time points during pregnancy [(A) first trimester, (B) second trimester, and (C) third trimester]. (D) Representative image of electron micrograph of exosomes. Scale bar, 100 nm. (E) Representative Western blot for enriched exosome markers CD63, CD9, and TSG101, as well as negative control Grp94 for exosomes isolated from normal and PTB at different time points during pregnancy. In (A)–(C) and (E), none of the experiments performed was significantly different for normal vs PTB.

Isolation of exosomes. Exosomes were isolated from maternal plasma obtained from normal and PTB pregnancies across gestation (see “Subjects and Methods”). (A–C) Graphical representation of the vesicle size distribution using a NanoSight NS500 instrument at different time points during pregnancy [(A) first trimester, (B) second trimester, and (C) third trimester]. (D) Representative image of electron micrograph of exosomes. Scale bar, 100 nm. (E) Representative Western blot for enriched exosome markers CD63, CD9, and TSG101, as well as negative control Grp94 for exosomes isolated from normal and PTB at different time points during pregnancy. In (A)–(C) and (E), none of the experiments performed was significantly different for normal vs PTB.

Exosomal miRNA signature across normal pregnancy

A total of 167 miRNAs across gestation in term pregnancies revealed significant changes (P < 0.05). Hierarchical clustering analysis of the average miRNA expression profiles across gestation revealed a variety of trends (Fig. 2). Specifically, trends that increased to a maximum peak expression in the third trimester are clusters A and C (A = 11, C = 15); trends that rapidly decreased in expression until the end of the first trimester and then increased to a peak at the end of the second trimester are clusters B, F, G, I, J, K, L, M, and N (B = 13, F = 2, G = 11, I = 13, J = 13, K = 21, L = 4, M = 13, N = 23); an increasing trend throughout gestation was identified in cluster E (E = 19); a trend that rapidly decreased in expression until the end of the first trimester and then increased in expression until the end of the third trimester was observed for cluster H (H = 2); and a trend that increased rapidly from the beginning of the third trimester is cluster D (D = 7). miRNAs with the largest maximum expression in each cluster are as follows (Fig. 3; Table 2): A, hsa-miR-3200-5p; B, hsa-miR-320a; C, hsa-miR-25-3p; D, hsa-miR-10b-3p; E, hsa-miR-143-3p; F, hsa-miR-4718; G, hsa-miR-203a-3p; H, hsa-miR-6862-1-5p; I, hsa-miR-3117-3p; J, hsa-miR-8060; K, hsa-miR-324-5p; L, hsa-miR-129-1-5p; M, hsa-miR-6769b-5p; and N, hsa-miR-6715a-3p.
Figure 2.

Linear mixed modeling of 167 statistically significant miRNAs that change across gestation for normal pregnancies. miRNA counts were normalized using the DESeq2 package in R prior to statistical analysis using the likelihood ratio test. Subsequently, linear mixed modeling was performed on the 167 statistically significant miRNAs (P < 0.05) that change across gestation for normal pregnancies, using the lme4 package in R. The data were scaled between 0 and 1 before hierarchical clustering analysis using Euclidean distance, which is displayed as a circular cladogram (generated using the ggtree package in R). Each color of the circular cladogram represents a different cluster and its trend, as shown in (A)–(N).

Figure 3.

Highest expressed miRNAs in each cluster identified using linear mixed modeling for normal pregnancies across gestation. Linear mixed modeling and circular cladogram analysis for normal pregnancies across gestation were divided into 14 clusters. The highest expressed miRNA from each cluster was extracted and color coded based on the cluster of origin. Clusters are in ascending order [corresponding to (A)–(N) in Fig. 2] starting from the top of the figure, reading from left to right and continuing onto the next line of graphs below.

Table 2.

Significant miRNAs That Change Across Gestation for Normal Pregnancies

ConditionmiRNAGestational Age With Minimum ExpressionMinimum Expression (Normalized Counts)Gestational Age With Maximum ExpressionMaximum Expression (Normalized Counts) P ValueLetter
Normalhsa-miR-3200-5p41.857−0.03426.1430.3210.036A
Normalhsa-miR-379-3p41.857−0.06428.1430.2690.016A
Normalhsa-miR-411-3p41.857−0.07027.0000.2780.015A
Normalhsa-miR-576-3p41.857−0.02128.1430.2100.025A
Normalhsa-miR-119713.571−0.00128.1430.0680.046A
Normalhsa-miR-495-3p12.143−0.01928.1430.0930.040A
Normalhsa-miR-3130-2-5p41.857−0.03027.0000.0900.016A
Normalhsa-miR-94441.857−0.02628.1430.0920.047A
Normalhsa-miR-548j-3p13.714−0.00927.0000.0620.017A
Normalhsa-miR-3940-3p41.857−0.02428.1430.0710.037A
Normalhsa-miR-23b-5p13.714−0.00327.0000.0120.016A
Normalhsa-miR-320a41.85729.9965.857163.9350.026B
Normalhsa-miR-320b-241.85721.4165.857145.8690.030B
Normalhsa-miR-320b-141.85722.1686.143139.0710.030B
Normalhsa-miR-144-3p40.857−1.5516.14360.6070.045B
Normalhsa-miR-4732-3p19.0001.4746.14313.0230.007B
Normalhsa-miR-410-3p19.0000.41928.14311.6320.007B
Normalhsa-miR-28-5p40.8571.0676.14310.9600.044B
Normalhsa-miR-4446-3p19.1431.0695.8577.5830.044B
Normalhsa-miR-96-5p41.857−0.2456.1438.2170.025B
Normalhsa-miR-381-3p19.0000.2226.1437.7650.021B
Normalhsa-miR-17-3p39.571−0.02812.0001.5350.035B
Normalhsa-miR-18a-3p18.7140.1165.8571.6290.023B
Normalhsa-miR-433-3p18.7140.04839.0000.3720.034B
Normalhsa-miR-25-3p39.57139.14438.857342.5930.039C
Normalhsa-miR-151a-3p40.85753.69627.000293.8880.044C
Normalhsa-miR-148a-3p13.85772.30827.000321.1380.005C
Normalhsa-miR-146a-5p41.85733.93327.429206.4890.016C
Normalhsa-miR-423-3p13.57122.31027.429128.2350.011C
Normalhsa-miR-223-3p13.8578.67727.00089.8800.011C
Normalhsa-miR-584-5p13.85713.66727.00063.9420.007C
Normalhsa-miR-19b-2-3p13.8573.51028.14322.0760.028C
Normalhsa-miR-19b-1-3p13.8573.64928.14322.0460.028C
Normalhsa-miR-19a-3p13.8574.29328.14321.0870.036C
Normalhsa-miR-361513.5712.77037.0009.0880.038C
Normalhsa-miR-328-3p11.2860.81537.0005.7390.006C
Normalhsa-miR-1304-3p12.4290.63127.0001.9460.036C
Normalhsa-miR-224-5p19.0000.41227.0002.1650.027C
Normalhsa-miR-199b-5p6.143−0.08327.4290.9770.032C
Normalhsa-miR-10b-3p6.429−0.00241.8570.5130.041D
Normalhsa-miR-500b-3p20.5710.00141.8570.0660.012D
Normalhsa-miR-4728-3p19.000−0.00441.8570.0450.027D
Normalhsa-miR-6876-5p12.143−0.00441.8570.0430.038D
Normalhsa-miR-805826.286−0.00541.8570.0280.021D
Normalhsa-miR-4762-3p26.571−0.00341.8570.0150.021D
Normalhsa-miR-1295a27.429−0.00541.8570.0290.021D
Normalhsa-miR-143-3p19.00053.72437.000611.5130.001E
Normalhsa-miR-133a-1-3p12.571−0.25240.4297.4490.000E
Normalhsa-miR-133a-2-3p10.286−0.42940.4297.4160.000E
Normalhsa-miR-574-3p19.0000.55140.4293.3050.043E
Normalhsa-miR-145-3p8.5710.34741.8572.8040.002E
Normalhsa-miR-145-5p6.1430.10741.8573.0380.000E
Normalhsa-miR-518d-5p6.286−0.16239.0002.4420.041E
Normalhsa-miR-526a-15.857−0.01639.0002.2550.041E
Normalhsa-miR-526a-26.286−0.06939.0002.4430.041E
Normalhsa-miR-520c-5p6.429−0.14439.0002.2910.040E
Normalhsa-miR-185-3p6.1430.15641.8572.0750.048E
Normalhsa-miR-371b-5p6.2860.03441.8571.5040.005E
Normalhsa-miR-548k6.2860.00939.0001.3000.047E
Normalhsa-miR-518f-5p6.429−0.11741.8571.6930.006E
Normalhsa-miR-526b-5p5.857−0.02641.8571.4680.022E
Normalhsa-miR-518c-5p6.286−0.09739.0001.2780.040E
Normalhsa-miR-193b-3p6.143−0.00440.4290.8600.017E
Normalhsa-miR-873-3p20.5710.03541.8570.3380.024E
Normalhsa-miR-139-3p10.2860.00141.8570.2730.047E
Normalhsa-miR-471820.571−0.0255.8570.4700.045F
Normalhsa-miR-312518.714−0.0165.8570.2500.008F
Normalhsa-miR-203a-3p20.286−53.3785.857609.7170.038G
Normalhsa-miR-205-5p18.571−1.5626.28618.7830.039G
Normalhsa-miR-568919.143−0.9806.14313.2610.035G
Normalhsa-miR-6767-5p41.857−0.9336.1437.8010.033G
Normalhsa-miR-889-3p20.286−0.2026.1436.7630.009G
Normalhsa-miR-4662a-5p41.857−0.3015.8572.4470.028G
Normalhsa-miR-376c-3p20.2860.0005.8570.3090.017G
Normalhsa-miR-365641.857−0.0255.8570.1880.014G
Normalhsa-miR-6515-5p41.857−0.0175.8570.1290.029G
Normalhsa-miR-468818.714−0.0085.8570.0630.039G
Normalhsa-miR-3202-241.857−0.0056.2860.0230.048G
Normalhsa-miR-6862-1-5p20.571−0.0035.8570.0540.031H
Normalhsa-miR-6862-2-5p20.571−0.0045.8570.0550.031H
Normalhsa-miR-3117-3p19.143−1.5346.1439.5960.018I
Normalhsa-miR-6845-5p20.286−0.6566.1434.7330.020I
Normalhsa-miR-6889-5p20.286−0.2266.1431.6030.021I
Normalhsa-miR-548ap-5p20.286−0.2456.1431.5820.025I
Normalhsa-miR-6868-3p19.000−0.2566.1431.7170.022I
Normalhsa-miR-6729-5p18.857−0.2156.1431.7160.014I
Normalhsa-miR-62220.286−0.2396.1431.7350.022I
Normalhsa-miR-453820.571−0.2156.1431.6100.022I
Normalhsa-miR-4652-5p20.286−0.2246.1431.6320.022I
Normalhsa-miR-3913-1-3p20.286−0.0105.8570.0600.037I
Normalhsa-miR-3913-2-3p18.714−0.0085.8570.0590.037I
Normalhsa-miR-446720.286−0.0115.8570.0960.004I
Normalhsa-miR-3186-3p19.143−0.0325.8570.1990.021I
Normalhsa-miR-806018.571−0.2906.1436.6670.049J
Normalhsa-miR-797741.857−0.2045.8575.1110.037J
Normalhsa-miR-193a-3p41.857−0.0926.2861.3400.026J
Normalhsa-miR-6869-5p41.857−0.1266.1431.2920.026J
Normalhsa-miR-4798-5p19.000−0.1255.8571.2470.027J
Normalhsa-miR-446618.429−0.1056.4291.1400.032J
Normalhsa-miR-4646-5p20.286−0.0676.1431.1400.047J
Normalhsa-miR-382-5p19.000−0.0315.8570.3520.005J
Normalhsa-miR-6867-5p20.286−0.0036.1430.0180.030J
Normalhsa-miR-4650-1-3p41.857−0.0026.2860.0240.013J
Normalhsa-miR-4650-2-3p19.143−0.0036.1430.0240.013J
Normalhsa-miR-1343-3p18.857−0.0015.8570.0080.040J
Normalhsa-miR-4717-3p19.000−0.0025.8570.0130.019J
Normalhsa-miR-324-5p19.143−0.2895.8573.7340.022K
Normalhsa-miR-570719.000−0.4875.8573.4900.020K
Normalhsa-miR-3614-3p19.000−0.7385.8574.5240.026K
Normalhsa-miR-319618.714−0.3415.8572.4800.018K
Normalhsa-miR-6509-5p20.286−0.3065.8572.4290.026K
Normalhsa-miR-432419.143−0.5955.8573.8280.015K
Normalhsa-miR-455-5p19.000−0.4376.1433.3320.032K
Normalhsa-miR-450041.857−0.1226.2861.1900.029K
Normalhsa-miR-6501-5p18.714−0.3425.8572.2370.025K
Normalhsa-miR-887-3p20.571−0.3225.8572.3440.023K
Normalhsa-miR-314318.429−0.1615.8571.2320.014K
Normalhsa-miR-548j-5p19.143−0.1355.8571.1070.049K
Normalhsa-miR-490-3p19.143−0.1325.8571.1450.033K
Normalhsa-miR-6858-5p41.857−0.0196.1430.2410.027K
Normalhsa-miR-545-5p20.286−0.0215.8570.1860.000K
Normalhsa-miR-6809-5p20.571−0.0046.1430.0580.019K
Normalhsa-miR-541-3p19.000−0.0105.8570.0950.010K
Normalhsa-miR-6859-1-3p20.286−0.0095.8570.0530.003K
Normalhsa-miR-6859-2-3p18.429−0.0065.8570.0520.003K
Normalhsa-miR-6859-3-3p18.857−0.0075.8570.0550.003K
Normalhsa-miR-6859-4-3p20.286−0.0095.8570.0550.003K
Normalhsa-miR-129-1-5p20.571−0.0135.8570.0970.021L
Normalhsa-miR-129-2-5p19.000−0.0145.8570.1030.021L
Normalhsa-miR-202-5p20.286−0.0165.8570.1250.003L
Normalhsa-miR-59240.857−0.0055.8570.0480.038L
Normalhsa-miR-6769b-5p18.571−0.0085.8570.0460.015M
Normalhsa-miR-548t-5p20.571−0.0075.8570.0450.025M
Normalhsa-miR-429720.571−0.0175.8570.0900.015M
Normalhsa-miR-6781-5p20.571−0.0016.1430.0050.026M
Normalhsa-miR-6888-5p19.0000.0005.8570.0020.026M
Normalhsa-miR-4684-3p19.000−0.0056.1430.0360.031M
Normalhsa-miR-808318.857−0.0035.8570.0180.031M
Normalhsa-miR-3145-3p18.5710.0005.8570.0020.026M
Normalhsa-miR-426718.714−0.0026.1430.0170.031M
Normalhsa-miR-6769a-3p18.714−0.0035.8570.0180.031M
Normalhsa-miR-4423-3p19.0000.0006.1430.0020.026M
Normalhsa-miR-6766-3p18.857−0.0015.8570.0050.026M
Normalhsa-miR-3157-5p18.4290.0005.8570.0020.026M
Normalhsa-miR-6715a-3p19.000−0.7955.8574.6360.023N
Normalhsa-miR-1915-3p20.286−0.5945.8573.5370.024N
Normalhsa-miR-446920.286−0.0166.1430.0850.013N
Normalhsa-miR-453518.857−0.0085.8570.0520.020N
Normalhsa-miR-7856-5p19.143−0.0066.2860.0430.019N
Normalhsa-miR-7845-5p19.000−0.0175.8570.0870.015N
Normalhsa-miR-4789-3p19.000−0.0095.8570.0430.015N
Normalhsa-miR-6772-5p20.2860.0005.8570.0020.026N
Normalhsa-miR-4716-3p18.7140.0005.8570.0020.026N
Normalhsa-miR-6783-3p19.0000.0006.1430.0020.026N
Normalhsa-miR-499a-3p18.714−0.0126.1430.0670.031N
Normalhsa-miR-71819.000−0.0075.8570.0490.013N
Normalhsa-miR-3177-5p19.143−0.0016.4290.0020.026N
Normalhsa-miR-5002-5p19.143−0.0035.8570.0170.031N
Normalhsa-miR-316618.857−0.0065.8570.0340.031N
Normalhsa-miR-6499-3p19.143−0.0035.8570.0170.031N
Normalhsa-miR-467419.000−0.0035.8570.0160.031N
Normalhsa-miR-449719.143−0.0035.8570.0170.031N
Normalhsa-miR-570819.143−0.0025.8570.0170.031N
Normalhsa-miR-6759-3p18.714−0.0035.8570.0170.031N
Normalhsa-miR-506-3p20.286−0.0016.2860.0050.026N
Normalhsa-miR-6741-5p18.714−0.0015.8570.0050.026N
Normalhsa-miR-1245b-5p20.2860.0006.1430.0020.026N
Linear mixed modeling of 167 statistically significant miRNAs that change across gestation for normal pregnancies. miRNA counts were normalized using the DESeq2 package in R prior to statistical analysis using the likelihood ratio test. Subsequently, linear mixed modeling was performed on the 167 statistically significant miRNAs (P < 0.05) that change across gestation for normal pregnancies, using the lme4 package in R. The data were scaled between 0 and 1 before hierarchical clustering analysis using Euclidean distance, which is displayed as a circular cladogram (generated using the ggtree package in R). Each color of the circular cladogram represents a different cluster and its trend, as shown in (A)–(N). Highest expressed miRNAs in each cluster identified using linear mixed modeling for normal pregnancies across gestation. Linear mixed modeling and circular cladogram analysis for normal pregnancies across gestation were divided into 14 clusters. The highest expressed miRNA from each cluster was extracted and color coded based on the cluster of origin. Clusters are in ascending order [corresponding to (A)–(N) in Fig. 2] starting from the top of the figure, reading from left to right and continuing onto the next line of graphs below. Significant miRNAs That Change Across Gestation for Normal Pregnancies

Exosomal miRNA signature across PTB pregnancy

A total of 153 miRNAs across gestation in PTB pregnancies demonstrated significant changes (P < 0.05). Hierarchical clustering analysis of the average miRNA expression profiles across gestation revealed a variety of trends (Fig. 4). Specifically, trends that had peak expression at the second trimester are clusters E, F, G, I, J, K, L, M, and N (E = 3, F = 4, G = 21, I = 5, J = 5, K = 8, L = 10, M = 9, N = 28); a trend that had peak expression at the beginning of the third trimester was identified in cluster A (A = 11); and decreasing trends in expression across gestation were observed for clusters B, C, D, and H (B = 12, C = 6, D = 20, H = 11). miRNAs with the largest maximum expression in each cluster are as follows (Fig. 5; Table 3): A, hsa-let-7a-2-5p; B, hsa-miR-520a-3p; C, hsa-miR-664a-3p; D, hsa-miR-4737; E, hsa-miR-3177-3p; F, hsa-miR-483-3p; G, hsa-miR-4433b-3p; H, hsa-miR-130b-3p; I, hsa-miR-142-5p; J, hsa-miR-941-1; K, hsa-miR-342-3p; L, hsa-miR-222-3p; M, hsa-miR-26a-2-5p; and N, hsa-miR-92a-1-3p.
Figure 4.

Linear mixed modeling of 153 statistically significant miRNAs that change across gestation for PTB pregnancies. miRNA counts were normalized using the DESeq2 package in R prior to statistical analysis using the likelihood ratio test. Subsequently, linear mixed modeling was performed on the 153 statistically significant miRNAs (P < 0.05) that change across gestation for PTB pregnancies, using the lme4 package in R. The data were scaled between 0 and 1 before hierarchical clustering analysis using Euclidean distance, which is displayed as a circular cladogram (generated using the ggtree package in R). Each color of the circular cladogram represents a different cluster and its trend, as shown in (A)–(N).

Figure 5.

Highest expressed miRNAs in each cluster identified using linear mixed modeling for PTB pregnancies across gestation. Linear mixed modeling and circular cladogram analysis for normal pregnancies across gestation were divided into 14 clusters. The highest expressed miRNA from each cluster was extracted and color coded based on the cluster of origin. Clusters are in ascending order [corresponding to (A)–(N) in Fig. 4] starting from the top of the figure, reading from left to right and continuing onto the next line of graphs below.

Table 3.

Significant miRNAs That Change Across Gestation for PTB Pregnancies

Condition miRNA Gestational Age With Minimum Expression Minimum Expression (Normalized Counts) Gestational Age With Maximum Expression Maximum Expression (Normalized Counts) P Value Letter
PTBhsa-let-7a-2-5p36.71483.37126.857765.7580.021A
PTBhsa-let-7a-1-5p36.000112.69926.857783.4440.020A
PTBhsa-let-7a-3-5p36.571111.88526.857779.5130.020A
PTBhsa-let-7f-2-5p36.71487.34626.857756.3290.020A
PTBhsa-let-7f-1-5p36.571108.24726.857772.2660.020A
PTBhsa-miR-25-3p36.714−14.3317.857345.2820.002A
PTBhsa-let-7i-5p36.000−4.74826.571251.3920.019A
PTBhsa-miR-98-5p36.5710.60026.85718.0920.031A
PTBhsa-miR-548e-3p36.714−0.04526.7140.3330.009A
PTBhsa-miR-5010-3p35.000−0.07919.4290.4230.028A
PTBhsa-miR-495-3p12.143−0.00826.7140.0410.044A
PTBhsa-miR-520a-3p26.857−0.1557.8571.6820.002B
PTBhsa-let-7i-3p26.714−0.0447.8570.8710.007B
PTBhsa-miR-887-3p32.571−0.01913.0000.1440.024B
PTBhsa-miR-1287-5p35.000−0.0399.7140.3170.005B
PTBhsa-miR-548f-2-3p26.714−0.0097.8570.2270.027B
PTBhsa-miR-548f-3-3p26.714−0.0107.8570.2400.027B
PTBhsa-miR-76032.5710.0107.1430.4340.005B
PTBhsa-miR-548j-5p26.857−0.0076.4290.1190.038B
PTBhsa-miR-1908-3p32.5710.0286.5710.2950.020B
PTBhsa-miR-6770-1-3p26.286−0.0056.4290.0540.031B
PTBhsa-miR-6770-2-3p26.857−0.0046.4290.0560.031B
PTBhsa-miR-6770-3-3p26.286−0.0056.5710.0550.031B
PTBhsa-miR-664a-3p36.714−0.0336.5710.5700.012C
PTBhsa-miR-320d-136.714−0.0856.5710.8590.026C
PTBhsa-miR-320d-236.714−0.1086.5710.8490.026C
PTBhsa-miR-379-3p36.714−0.0536.5710.5990.036C
PTBhsa-miR-411-3p36.571−0.0526.5710.6360.038C
PTBhsa-miR-337-3p36.714−0.0266.5710.3060.021C
PTBhsa-miR-473719.429−0.0036.4290.0200.042D
PTBhsa-miR-4778-5p18.571−0.0196.5710.2400.020D
PTBhsa-miR-6749-3p19.143−0.0096.4290.0810.030D
PTBhsa-miR-2277-3p19.429−0.0356.5710.2460.017D
PTBhsa-miR-479419.143−0.0046.4290.0200.042D
PTBhsa-miR-312519.429−0.0056.4290.0770.008D
PTBhsa-miR-806119.143−0.0106.4290.0550.042D
PTBhsa-miR-152-5p26.143−0.0026.4290.0680.032D
PTBhsa-miR-451b26.571−0.0046.4290.0440.032D
PTBhsa-miR-371b-3p35.000−0.0016.4290.0340.045D
PTBhsa-miR-6783-3p18.571−0.0106.4290.0820.042D
PTBhsa-miR-1343-3p32.571−0.0026.4290.0320.023D
PTBhsa-miR-390819.429−0.0076.4290.0380.042D
PTBhsa-miR-58619.286−0.0086.5710.0380.042D
PTBhsa-miR-64519.429−0.0036.4290.0190.042D
PTBhsa-miR-4769-5p18.714−0.0046.4290.0190.042D
PTBhsa-miR-57219.429−0.0036.4290.0190.042D
PTBhsa-miR-6759-5p19.429−0.0046.5710.0190.042D
PTBhsa-miR-6797-5p19.286−0.0046.5710.0200.042D
PTBhsa-miR-6798-5p18.714−0.0046.4290.0190.042D
PTBhsa-miR-3177-3p26.857−0.04513.0000.3230.029E
PTBhsa-miR-10a-3p26.857−0.0467.8570.3900.046E
PTBhsa-miR-365632.571−0.03713.0000.2840.031E
PTBhsa-miR-483-3p6.429−0.03718.5710.6680.014F
PTBhsa-miR-183-3p6.571−0.04918.5710.1340.017F
PTBhsa-miR-615-3p6.429−0.01918.5710.1380.016F
PTBhsa-miR-509432.571−0.01118.5710.0550.028F
PTBhsa-miR-4433b-3p6.429−0.03819.4290.3340.032G
PTBhsa-miR-132-3p36.4290.07418.7140.7890.037G
PTBhsa-miR-3158-1-3p36.429−0.10319.4291.2000.000G
PTBhsa-miR-3158-2-3p36.429−0.07419.4291.1820.000G
PTBhsa-miR-339-5p36.7140.06218.5710.7150.040G
PTBhsa-miR-517a-5p36.286−0.03019.2860.8360.005G
PTBhsa-miR-517b-5p36.2860.01519.2860.8270.005G
PTBhsa-miR-517c-5p36.000−0.01719.2860.8160.005G
PTBhsa-miR-517a-3p36.000−0.00618.7140.5540.022G
PTBhsa-miR-517b-3p36.0000.00418.5710.5460.022G
PTBhsa-miR-517c-3p32.571−0.00619.2860.5380.023G
PTBhsa-miR-532-3p6.571−0.00218.5710.3970.046G
PTBhsa-miR-33b-5p34.4290.05918.7140.4960.040G
PTBhsa-miR-550a-3-5p36.000−0.01119.2860.3520.021G
PTBhsa-miR-369-5p36.0000.03012.8570.4720.018G
PTBhsa-miR-22-5p6.429−0.00918.7140.3610.035G
PTBhsa-miR-149-5p36.000−0.00318.7140.0910.028G
PTBhsa-miR-4482-3p6.429−0.04418.5710.1680.038G
PTBhsa-miR-1185-1-3p6.571−0.02319.4290.1150.038G
PTBhsa-miR-1185-2-3p6.571−0.01418.5710.0820.017G
PTBhsa-miR-505-5p32.571−0.00618.7140.1250.028G
PTBhsa-miR-130b-3p36.0003.5257.85714.9080.024H
PTBhsa-miR-183-5p36.5712.1186.42910.0950.001H
PTBhsa-miR-652-3p36.7141.5448.7146.5270.007H
PTBhsa-miR-150-3p36.4290.08612.1432.1110.002H
PTBhsa-miR-1468-5p36.0000.10518.5710.9000.027H
PTBhsa-miR-1301-3p36.7140.0776.5710.4850.028H
PTBhsa-miR-550a-1-5p36.5710.01713.0000.4890.027H
PTBhsa-miR-550a-1-5p_var234.4290.03712.8570.4860.027H
PTBhsa-miR-550a-2-5p36.4290.02412.8570.4870.027H
PTBhsa-miR-550a-2-5p_var236.0000.04613.0000.4710.027H
PTBhsa-miR-589-3p35.0000.02212.8570.2510.047H
PTBhsa-miR-142-5p36.00057.0407.857480.2070.002I
PTBhsa-miR-502-3p36.0000.29818.5717.0280.005I
PTBhsa-miR-4677-3p36.571−0.05413.0000.4630.003I
PTBhsa-miR-140-5p36.000−0.04713.0000.4770.032I
PTBhsa-miR-6735-5p36.714−0.02518.5710.2020.043I
PTBhsa-miR-941-136.2861.17419.14311.8890.043J
PTBhsa-miR-941-236.2860.88019.14311.8880.043J
PTBhsa-miR-941-336.2860.94819.14311.7760.043J
PTBhsa-miR-941-436.2861.52019.14311.9190.043J
PTBhsa-miR-941-536.2861.51219.14311.8400.043J
PTBhsa-miR-342-3p36.0000.84418.57113.0610.000K
PTBhsa-miR-155-5p36.0000.42218.5713.8350.001K
PTBhsa-miR-342-5p36.7140.24918.5711.7590.015K
PTBhsa-miR-374a-5p36.7140.07818.5711.2700.004K
PTBhsa-miR-1283-136.7140.01619.4290.6510.016K
PTBhsa-miR-1283-236.714−0.00318.7140.6700.016K
PTBhsa-miR-98-3p36.7140.09618.7141.0580.009K
PTBhsa-miR-211036.5710.03618.5710.3160.013K
PTBhsa-miR-222-3p36.7142.40019.42918.7110.020L
PTBhsa-miR-132336.7140.22418.5715.2620.017L
PTBhsa-miR-424-3p36.7140.63318.7143.8450.003L
PTBhsa-miR-1260b36.5710.11418.5714.7230.003L
PTBhsa-miR-1260a36.000−0.01719.1433.0900.008L
PTBhsa-miR-127-3p36.714−0.12519.4292.9900.040L
PTBhsa-miR-454-3p36.0000.12519.1431.5840.035L
PTBhsa-miR-130b-5p36.7140.00326.1431.3230.028L
PTBhsa-miR-93-3p36.7140.09819.2860.7010.018L
PTBhsa-miR-1249-3p36.714−0.00326.8570.3780.013L
PTBhsa-miR-26a-2-5p36.71487.22619.429443.1270.002M
PTBhsa-miR-26a-1-5p36.571106.81519.429448.2900.002M
PTBhsa-miR-182-5p36.57134.09219.143195.7390.001M
PTBhsa-miR-28-3p36.57128.37819.429127.4650.010M
PTBhsa-miR-26b-5p36.57117.92126.85780.6450.011M
PTBhsa-let-7g-5p36.71418.67719.14372.4950.042M
PTBhsa-let-7d-5p36.5714.33519.42917.1030.041M
PTBhsa-miR-532-5p36.7142.66219.14312.2360.018M
PTBhsa-miR-374b-5p36.7140.10619.4291.2520.037M
PTBhsa-miR-92a-1-3p36.5711463.03419.1433264.3380.013N
PTBhsa-miR-92a-2-3p36.7141452.07819.4293235.3940.016N
PTBhsa-miR-191-5p36.000313.05918.5711059.4840.017N
PTBhsa-miR-451a36.000370.3019.714878.7240.033N
PTBhsa-miR-30d-5p36.714129.58012.857285.2320.040N
PTBhsa-miR-181a-1-5p36.71463.47619.143294.1510.004N
PTBhsa-miR-181a-2-5p36.57175.58319.429294.9180.004N
PTBhsa-miR-151a-3p36.00054.67926.857321.8010.004N
PTBhsa-miR-146a-5p36.57159.0457.143195.9700.033N
PTBhsa-miR-92b-3p36.42942.14819.143137.7520.024N
PTBhsa-miR-146b-5p36.0002.3359.71462.2110.017N
PTBhsa-miR-144-3p36.5719.06418.71435.8490.012N
PTBhsa-miR-140-3p36.28614.24919.14340.0630.048N
PTBhsa-miR-425-5p36.7149.76912.85738.0670.004N
PTBhsa-miR-16-2-3p36.5715.51113.00018.2100.012N
PTBhsa-miR-106b-3p36.4293.34119.14318.9450.003N
PTBhsa-miR-128-1-3p36.7142.83419.14313.1430.016N
PTBhsa-miR-128-2-3p36.5712.51718.57111.9220.021N
PTBhsa-miR-181d-5p36.4291.65718.57110.6900.009N
PTBhsa-miR-181c-5p36.5711.25910.5715.8730.005N
PTBhsa-miR-197-3p36.7141.12718.5717.3380.001N
PTBhsa-miR-15b-5p36.0001.63518.5715.6380.034N
PTBhsa-miR-28-5p34.4292.21018.7145.8570.048N
PTBhsa-miR-199a-1-5p36.7140.55319.4294.4920.041N
PTBhsa-miR-199a-2-5p36.5710.86419.1434.4060.041N
PTBhsa-miR-361-5p36.5711.02018.5713.1520.027N
PTBhsa-miR-6852-5p36.5710.72018.5713.1030.013N
PTBhsa-miR-330-3p36.7140.22318.7141.3570.038N
Linear mixed modeling of 153 statistically significant miRNAs that change across gestation for PTB pregnancies. miRNA counts were normalized using the DESeq2 package in R prior to statistical analysis using the likelihood ratio test. Subsequently, linear mixed modeling was performed on the 153 statistically significant miRNAs (P < 0.05) that change across gestation for PTB pregnancies, using the lme4 package in R. The data were scaled between 0 and 1 before hierarchical clustering analysis using Euclidean distance, which is displayed as a circular cladogram (generated using the ggtree package in R). Each color of the circular cladogram represents a different cluster and its trend, as shown in (A)–(N). Highest expressed miRNAs in each cluster identified using linear mixed modeling for PTB pregnancies across gestation. Linear mixed modeling and circular cladogram analysis for normal pregnancies across gestation were divided into 14 clusters. The highest expressed miRNA from each cluster was extracted and color coded based on the cluster of origin. Clusters are in ascending order [corresponding to (A)–(N) in Fig. 4] starting from the top of the figure, reading from left to right and continuing onto the next line of graphs below. Significant miRNAs That Change Across Gestation for PTB Pregnancies

Differential expression of exosomal miRNA across gestation in normal compared with PTB pregnancy

A total of 173 miRNAs were found to significantly change (P < 0.05) across gestation for normal compared with PTB pregnancies. Hierarchical clustering analysis of the average miRNA expression profiles across gestation revealed a variety of trends (Fig. 6). Specifically, trends that had the largest difference in expression within the first trimester comparing normal to PTB pregnancies are clusters I, M, and N (I = 8, M = 15, N = 43); trends that had the largest difference in expression within the second trimester comparing normal to PTB pregnancies are clusters A, D, F, G, J, and K (A = 14, D = 5, F = 5, G = 8, J = 17, K = 13); and trends that had the largest difference in expression within the third trimester comparing normal to PTB pregnancies are clusters B, C, E, H, and L (B = 5, C = 9, E = 12, H = 6, L = 13). miRNAs with the largest maximum expression in each cluster are as follows (Fig. 7; Table 4): A, hsa-let-7b-3p; B, hsa-miR-197-3p; C, hsa-miR-148a-3p; D, hsa-miR-1304-3p; E, hsa-miR-101-1-3p; F, hsa-miR-10a-3p; G, hsa-miR-1304-5p; H, hsa-miR-145-5p; I, hsa-let-7i-3p; J, hsa-miR-128-1-3p; K, hsa-miR-1275; L, hsa-miR-1249-5p; M, hsa-miR-202-5p; and N, hsa-miR-1255b-2-3p.
Figure 6.

Linear mixed modeling of 173 statistically significant miRNAs that change across gestation when comparing normal to PTB pregnancies. miRNA counts were normalized using the DESeq2 package in R prior to statistical analysis using the likelihood ratio test. Subsequently, linear mixed modeling was performed on the 173 statistically significant miRNAs (P < 0.05) that change across gestation when comparing normal to PTB pregnancies, using the lme4 package in R. The data were scaled between 0 and 1 before hierarchical clustering analysis using Euclidean distance, which is displayed as a circular cladogram (generated using the ggtree package in R). Each color of the circular cladogram represents a different cluster and its trend, as shown in (A)–(N). Within the panels, red indicates normal pregnancies whereas blue indicates PTB pregnancies.

Figure 7.

Highest expressed miRNAs in each cluster identified using linear mixed modeling when comparing normal pregnancies to PTB pregnancies across gestation. Linear mixed modeling and circular cladogram analysis when comparing normal pregnancies to PTB pregnancies across gestation were divided into 14 clusters. The highest expressed miRNA from each cluster was extracted and color coded based on the cluster of origin. Clusters are in ascending order [corresponding to (A)–(N) in Fig. 6] starting from the top of the figure, reading from left to right and continuing onto the next line of graphs below. Red indicates normal pregnancies whereas blue indicates PTB pregnancies.

Table 4.

Significant miRNAs That Change Across Gestation for Normal Versus PTB Pregnancies

Condition miRNA Gestational Age With Minimum Expression Minimum Expression (Normalized Counts) Gestational Age With Maximum Expression Maximum Expression (Normalized Counts) P Value Letter
Normalhsa-let-7b-3p19.0000.40540.4292.5900.044A
PTBhsa-let-7b-3p36.2860.07712.8572.6270.044A
Normalhsa-miR-1249-3p18.4290.0716.1430.2110.006A
PTBhsa-miR-1249-3p36.714−0.01126.1430.3750.006A
Normalhsa-miR-1260a19.0001.0286.1433.5920.012A
PTBhsa-miR-1260a36.7140.11819.1432.9010.012A
Normalhsa-miR-1260b41.8571.4895.8574.4030.001A
PTBhsa-miR-1260b36.7140.07818.7144.8410.001A
Normalhsa-miR-130b-5p18.5710.2516.2861.5780.013A
PTBhsa-miR-130b-5p36.714−0.00826.5711.2870.013A
Normalhsa-miR-18a-3p18.8570.1436.1431.5840.025A
PTBhsa-miR-18a-3p36.5710.03326.1431.0810.025A
Normalhsa-miR-222-3p41.8576.5625.85718.3030.039A
PTBhsa-miR-222-3p36.2862.45719.42919.3270.039A
Normalhsa-miR-22-5p18.7140.0675.8570.2270.010A
PTBhsa-miR-22-5p6.5710.02618.5710.3700.010A
Normalhsa-miR-3677-3p18.7140.03941.8570.1640.041A
PTBhsa-miR-3677-3p36.286−0.00812.1430.1440.041A
Normalhsa-miR-4433b-5p19.0001.0836.42919.8550.020A
PTBhsa-miR-4433b-5p36.0000.5696.57118.5260.020A
Normalhsa-miR-4446-3p19.1431.2165.8577.5180.033A
PTBhsa-miR-4446-3p36.7141.28826.2865.2540.033A
Normalhsa-miR-483-3p19.0000.18840.4290.5430.017A
PTBhsa-miR-483-3p6.571−0.01219.1430.6740.017A
Normalhsa-miR-494-3p41.8570.0195.8570.1770.009A
PTBhsa-miR-494-3p36.714−0.02519.2860.2480.009A
Normalhsa-miR-5010-5p19.0000.5206.1432.4830.011A
PTBhsa-miR-5010-5p36.0000.34919.1432.6470.011A
Normalhsa-miR-197-3p19.0002.45837.0008.2770.001B
PTBhsa-miR-197-3p36.0000.81218.5717.6980.001B
Normalhsa-miR-24-1-3p13.8573.73539.00014.2700.029B
PTBhsa-miR-24-1-3p36.5712.00012.85711.0390.029B
Normalhsa-miR-24-2-3p19.0003.08139.00014.5470.029B
PTBhsa-miR-24-2-3p36.5712.85512.85710.5120.029B
Normalhsa-miR-339-5p6.1430.21640.8571.0270.034B
PTBhsa-miR-339-5p32.5710.08718.5710.7160.034B
Normalhsa-miR-424-3p6.1431.69341.8574.6300.009B
PTBhsa-miR-424-3p36.5710.64418.7143.8900.009B
Normalhsa-miR-148a-3p10.28679.63227.429312.5150.028C
PTBhsa-miR-148a-3p7.14385.94418.571165.6030.028C
Normalhsa-miR-152-3p10.2860.35828.1432.7300.044C
PTBhsa-miR-152-3p36.0000.39013.0001.8970.044C
Normalhsa-miR-223-3p13.8577.68227.00089.3050.012C
PTBhsa-miR-223-3p36.00016.82518.57144.7790.012C
Normalhsa-miR-361513.5712.86228.1439.0840.029C
PTBhsa-miR-361534.4292.15219.4295.2480.029C
Normalhsa-miR-550a-1-5p13.0000.14228.1430.5850.004C
PTBhsa-miR-550a-1-5p34.4290.03612.8570.5120.004C
Normalhsa-miR-550a-1-5p_var212.4290.12728.1430.5690.004C
PTBhsa-miR-550a-1-5p_var235.0000.02612.1430.4760.004C
Normalhsa-miR-550a-2-5p13.0000.13327.0000.5800.004C
PTBhsa-miR-550a-2-5p35.8570.04213.0000.4880.004C
Normalhsa-miR-550a-2-5p_var212.0000.11727.0000.5740.004C
PTBhsa-miR-550a-2-5p_var236.7140.03612.1430.5000.004C
Normalhsa-miR-550a-3-5p13.5710.11228.1430.4620.005C
PTBhsa-miR-550a-3-5p36.4290.00519.1430.3490.005C
Normalhsa-miR-1304-3p41.8570.67528.1432.0030.018D
PTBhsa-miR-1304-3p36.0000.85018.7141.8820.018D
Normalhsa-miR-361-5p19.0001.22137.0003.1020.020D
PTBhsa-miR-361-5p36.4291.08019.1433.1910.020D
Normalhsa-miR-423-3p13.57133.07927.429119.0440.009D
PTBhsa-miR-423-3p36.28630.30918.57188.2960.009D
Normalhsa-miR-92a-1-3p19.0001247.30427.0003712.6680.002D
PTBhsa-miR-92a-1-3p36.7141202.24819.4293587.4380.002D
Normalhsa-miR-92a-2-3p19.0001142.63927.0003732.3890.002D
PTBhsa-miR-92a-2-3p36.7141241.37019.4293553.9790.002D
Normalhsa-miR-101-1-3p39.57116.73927.000114.8730.021E
PTBhsa-miR-101-1-3p36.00021.07719.42994.6150.021E
Normalhsa-miR-101-2-3p40.85720.18027.000118.2870.020E
PTBhsa-miR-101-2-3p36.00017.95818.57193.1110.020E
Normalhsa-miR-103a-1-3p40.85738.37827.000247.9840.046E
PTBhsa-miR-103a-1-3p36.00062.8599.714220.9930.046E
Normalhsa-miR-103a-2-3p40.85745.19027.000243.0980.046E
PTBhsa-miR-103a-2-3p34.42967.5869.714219.8110.046E
Normalhsa-miR-106b-3p40.8575.81927.00024.4710.041E
PTBhsa-miR-106b-3p36.0002.17619.42919.7450.041E
Normalhsa-miR-10740.85744.04327.000236.6910.047E
PTBhsa-miR-10736.00050.3509.714224.5990.047E
Normalhsa-miR-140-3p19.00015.45327.00045.2770.013E
PTBhsa-miR-140-3p36.0007.49718.57141.8220.013E
Normalhsa-miR-16-2-3p39.5715.01026.28620.8480.033E
PTBhsa-miR-16-2-3p36.7144.3307.85719.2590.033E
Normalhsa-miR-29c-3p13.5713.85227.00014.9520.040E
PTBhsa-miR-29c-3p26.8573.55118.57111.3900.040E
Normalhsa-miR-342-3p39.5715.19927.00012.1790.026E
PTBhsa-miR-342-3p36.0000.79918.57113.4420.026E
Normalhsa-miR-425-5p39.57114.43627.00045.7800.011E
PTBhsa-miR-425-5p36.0005.92518.57138.3380.011E
Normalhsa-miR-502-3p39.5711.63627.0007.4040.022E
PTBhsa-miR-502-3p36.0000.96218.5716.5800.022E
Normalhsa-miR-10a-3p11.286−0.03026.2860.1970.014F
PTBhsa-miR-10a-3p26.857−0.03313.0000.3350.014F
Normalhsa-miR-379-5p41.857−0.00326.4290.0070.026F
PTBhsa-miR-379-5p32.571−0.00713.0000.0270.026F
Normalhsa-miR-524-3p8.571−0.00628.1430.0590.029F
PTBhsa-miR-524-3p26.857−0.01012.8570.1180.029F
Normalhsa-miR-525-3p8.571−0.00428.1430.0290.020F
PTBhsa-miR-525-3p32.571−0.00113.0000.0760.020F
Normalhsa-miR-548j-3p13.714−0.01227.4290.0620.019F
PTBhsa-miR-548j-3p26.714−0.01512.8570.0670.019F
Normalhsa-miR-1304-5p41.857−0.00527.4290.0260.049G
PTBhsa-miR-1304-5p32.571−0.01218.5710.0640.049G
Normalhsa-miR-138-1-3p41.857−0.00628.1430.0190.025G
PTBhsa-miR-138-1-3p6.571−0.02818.5710.0660.025G
Normalhsa-miR-391827.000−0.0028.5710.0050.048G
PTBhsa-miR-39186.429−0.01019.1430.0380.048G
Normalhsa-miR-4419a39.000−0.00212.4290.0020.042G
PTBhsa-miR-4419a6.429−0.01118.7140.0210.042G
Normalhsa-miR-4742-3p41.8570.0245.8570.1300.032G
PTBhsa-miR-4742-3p6.429−0.03318.5710.1700.032G
Normalhsa-miR-491-5p41.857−0.00727.0000.0210.037G
PTBhsa-miR-491-5p6.429−0.02118.7140.0510.037G
Normalhsa-miR-5189-3p20.2860.0065.8570.1450.007G
PTBhsa-miR-5189-3p36.429−0.00518.7140.1720.007G
Normalhsa-miR-6516-5p41.857−0.0026.2860.0110.031G
PTBhsa-miR-6516-5p6.429−0.01418.7140.0320.031G
Normalhsa-miR-145-5p6.2860.11541.8572.8640.023H
PTBhsa-miR-145-5p6.4290.46826.8571.4740.023H
Normalhsa-miR-371b-5p8.5710.07041.8571.4730.041H
PTBhsa-miR-371b-5p6.5710.16119.1430.6230.041H
Normalhsa-miR-377-5p13.571−0.00541.8570.1540.047H
PTBhsa-miR-377-5p26.857−0.00819.4290.1590.047H
Normalhsa-miR-3928-3p13.571−0.00440.8570.1250.049H
PTBhsa-miR-3928-3p34.429−0.00613.0000.0900.049H
Normalhsa-miR-6791-5p6.429−0.01140.4290.0960.028H
PTBhsa-miR-6791-5p36.000−0.0149.7140.0910.028H
Normalhsa-miR-6803-3p27.0000.01440.8570.1300.024H
PTBhsa-miR-6803-3p36.714−0.0276.4290.1400.024H
Normalhsa-let-7i-3p39.5710.05512.8570.3430.050I
PTBhsa-let-7i-3p26.7140.0307.8570.7340.050I
Normalhsa-miR-1908-3p41.8570.0025.8570.1610.022I
PTBhsa-miR-1908-3p32.5710.0159.7140.3000.022I
Normalhsa-miR-520a-3p6.1430.12028.1430.8470.022I
PTBhsa-miR-520a-3p32.5710.05110.5711.1840.022I
Normalhsa-miR-539-3p12.4290.01128.1430.2180.010I
PTBhsa-miR-539-3p36.429−0.02512.8570.3570.010I
Normalhsa-miR-589-3p19.0000.0406.1430.1510.019I
PTBhsa-miR-589-3p35.2860.01812.1430.2580.019I
Normalhsa-miR-6837-3p11.2860.00126.4290.1410.021I
PTBhsa-miR-6837-3p36.571−0.00318.7140.1810.021I
Normalhsa-miR-6852-5p12.5710.97627.0001.8820.014I
PTBhsa-miR-6852-5p36.0000.46618.5713.0620.014I
Normalhsa-miR-7606.4290.01341.8570.1510.003I
PTBhsa-miR-76032.5710.0076.4290.4350.003I
Normalhsa-miR-128-1-3p13.8573.45326.28615.1830.013J
PTBhsa-miR-128-1-3p36.7141.81819.42913.7650.013J
Normalhsa-miR-128-2-3p13.2862.89026.28614.6930.013J
PTBhsa-miR-128-2-3p36.7141.78819.42912.5150.013J
Normalhsa-miR-1285-1-3p39.5710.14227.0002.4770.036J
PTBhsa-miR-1285-1-3p32.5710.3927.8573.2420.036J
Normalhsa-miR-1285-2-3p39.5710.21712.0002.4640.032J
PTBhsa-miR-1285-2-3p36.0000.4187.8573.1080.032J
Normalhsa-miR-140-5p13.2860.02827.4290.3280.024J
PTBhsa-miR-140-5p36.000−0.01713.0000.4120.024J
Normalhsa-miR-199a-1-5p40.8570.61927.0004.8210.039J
PTBhsa-miR-199a-1-5p36.000−0.00219.1434.7750.039J
Normalhsa-miR-199a-2-5p39.5710.74327.0004.7590.039J
PTBhsa-miR-199a-2-5p36.000−0.01019.1435.1430.039J
Normalhsa-miR-224-5p19.0000.15927.0002.2910.009J
PTBhsa-miR-224-5p36.7140.00218.7142.2440.009J
Normalhsa-miR-25-3p39.57147.15538.857343.5960.007J
PTBhsa-miR-25-3p36.714−13.8027.857349.2120.007J
Normalhsa-miR-28-5p40.8571.2266.1439.6050.038J
PTBhsa-miR-28-5p32.5712.04718.5715.9610.038J
Normalhsa-miR-330-3p40.8570.1706.4291.8810.046J
PTBhsa-miR-330-3p36.0000.03219.4291.6090.046J
Normalhsa-miR-410-3p19.0000.57728.14311.5160.015J
PTBhsa-miR-410-3p36.7141.62119.4297.9120.015J
Normalhsa-miR-433-3p13.5710.02940.8570.4040.014J
PTBhsa-miR-433-3p36.7140.02213.0000.4930.014J
Normalhsa-miR-48419.00016.53827.00041.1840.050J
PTBhsa-miR-48436.714−2.37326.57170.2140.050J
Normalhsa-miR-485-5p12.1430.1725.8570.7960.017J
PTBhsa-miR-485-5p34.4290.12119.4291.0940.017J
Normalhsa-miR-6735-5p40.429−0.00920.5710.2250.024J
PTBhsa-miR-6735-5p36.571−0.04518.5710.2170.024J
Normalhsa-miR-98-3p13.8570.16727.0000.8350.003J
PTBhsa-miR-98-3p36.7140.06019.4291.0900.003J
Normalhsa-miR-127512.143−0.00440.8570.0060.048K
PTBhsa-miR-127536.714−0.01026.8570.0610.048K
Normalhsa-miR-1298-5p40.857−0.0025.8570.0050.027K
PTBhsa-miR-1298-5p13.000−0.00726.5710.0320.027K
Normalhsa-miR-31386.429−0.02820.2860.1030.012K
PTBhsa-miR-313836.571−0.13726.5710.6410.012K
Normalhsa-miR-32-3p6.429−0.00626.1430.0140.013K
PTBhsa-miR-32-3p36.714−0.02926.5710.1420.013K
Normalhsa-miR-3689a-3p28.143−0.00912.4290.0220.002K
PTBhsa-miR-3689a-3p36.714−0.05326.8570.2410.002K
Normalhsa-miR-3689a-5p19.000−0.00120.5710.0700.026K
PTBhsa-miR-3689a-5p36.571−0.06926.8570.2180.026K
Normalhsa-miR-3689b-5p12.857−0.00520.5710.0750.026K
PTBhsa-miR-3689b-5p7.857−0.06126.8570.2120.026K
Normalhsa-miR-3689e12.857−0.00612.4290.0620.026K
PTBhsa-miR-3689e36.571−0.05626.8570.2250.026K
Normalhsa-miR-409-3p13.5715.56327.00017.0990.008K
PTBhsa-miR-409-3p36.714−9.65526.57171.8520.008K
Normalhsa-miR-446719.000−0.0065.8570.0590.001K
PTBhsa-miR-44676.429−0.01026.7140.0750.001K
Normalhsa-miR-597-5p13.857−0.00227.0000.0050.014K
PTBhsa-miR-597-5p36.714−0.0086.4290.0320.014K
Normalhsa-miR-6750-3p28.143−0.00219.1430.0040.014K
PTBhsa-miR-6750-3p36.714−0.00626.8570.0290.014K
Normalhsa-miR-889-5p28.143−0.00112.8570.0050.019K
PTBhsa-miR-889-5p36.429−0.00626.7140.0270.019K
Normalhsa-miR-1249-5p28.143−0.00941.8570.0130.020L
PTBhsa-miR-1249-5p26.286−0.02736.7140.1760.020L
Normalhsa-miR-141-3p41.857−3.05727.0008.3850.039L
PTBhsa-miR-141-3p26.857−4.22736.71453.6760.039L
Normalhsa-miR-146b-3p19.143−1.54426.4293.2420.041L
PTBhsa-miR-146b-3p26.571−3.75536.57150.6540.041L
Normalhsa-miR-193a-5p41.857−0.01028.1430.0610.032L
PTBhsa-miR-193a-5p26.143−0.03336.7140.1890.032L
Normalhsa-miR-200a-3p6.429−1.48628.1437.8820.040L
PTBhsa-miR-200a-3p26.286−3.35836.57150.6650.040L
Normalhsa-miR-376a-1-5p41.857−0.0136.1430.0890.035L
PTBhsa-miR-376a-1-5p26.857−0.02436.5710.1780.035L
Normalhsa-miR-382-5p20.571−0.0476.4290.3470.037L
PTBhsa-miR-382-5p26.143−0.02336.5710.6000.037L
Normalhsa-miR-393612.571−8.81412.0009.2390.015L
PTBhsa-miR-393626.857−28.82536.714171.6520.015L
Normalhsa-miR-444738.857−11.14727.0006.7530.015L
PTBhsa-miR-444726.857−24.99836.714166.5590.015L
Normalhsa-miR-451628.143−3.1326.2862.6090.045L
PTBhsa-miR-451626.286−3.76436.57150.3920.045L
Normalhsa-miR-4695-5p11.286−0.01126.5710.0130.045L
PTBhsa-miR-4695-5p6.429−0.02436.7140.1740.045L
Normalhsa-miR-6769b-5p19.143−0.0146.1430.0500.018L
PTBhsa-miR-6769b-5p26.714−0.02636.7140.1680.018L
Normalhsa-miR-797637.714−0.01326.4290.0600.030L
PTBhsa-miR-79766.571−0.03436.5710.3970.030L
Normalhsa-miR-202-5p20.286−0.0205.8570.1510.030M
PTBhsa-miR-202-5p36.714−0.00436.2860.0040.030M
Normalhsa-miR-365641.857−0.0345.8570.3090.006M
PTBhsa-miR-365635.000−0.03013.0000.2440.006M
Normalhsa-miR-453519.000−0.0086.4290.0520.027M
PTBhsa-miR-45356.571−0.00818.7140.0270.027M
Normalhsa-miR-4650-1-3p20.286−0.0026.2860.0240.046M
PTBhsa-miR-4650-1-3p6.571−0.00218.7140.0100.046M
Normalhsa-miR-4650-2-3p20.571−0.0016.1430.0240.046M
PTBhsa-miR-4650-2-3p6.571−0.00318.5710.0110.046M
Normalhsa-miR-468819.143−0.0045.8570.0540.046M
PTBhsa-miR-46886.429−0.00326.1430.0320.046M
Normalhsa-miR-4717-3p20.286−0.0026.4290.0130.047M
PTBhsa-miR-4717-3p6.571−0.00219.2860.0030.047M
Normalhsa-miR-4789-3p19.143−0.0105.8570.0490.032M
PTBhsa-miR-4789-3p6.429−0.01019.1430.0240.032M
Normalhsa-miR-4798-5p39.000−0.0805.8571.1210.048M
PTBhsa-miR-4798-5p36.571−0.11726.1430.5060.048M
Normalhsa-miR-545-5p19.000−0.0215.8570.1900.040M
PTBhsa-miR-545-5p36.429−0.0116.4290.0620.040M
Normalhsa-miR-6859-1-3p18.857−0.0075.8570.0530.017M
PTBhsa-miR-6859-1-3p6.429−0.00336.7140.0100.017M
Normalhsa-miR-6859-2-3p18.714−0.0075.8570.0540.017M
PTBhsa-miR-6859-2-3p6.571−0.00136.2860.0080.017M
Normalhsa-miR-6859-3-3p19.000−0.0075.8570.0540.017M
PTBhsa-miR-6859-3-3p6.571−0.00236.5710.0100.017M
Normalhsa-miR-6859-4-3p18.857−0.0075.8570.0540.017M
PTBhsa-miR-6859-4-3p6.429−0.00236.7140.0090.017M
Normalhsa-miR-7856-5p19.143−0.0086.2860.0430.028M
PTBhsa-miR-7856-5p6.429−0.00518.5710.0270.028M
Normalhsa-miR-1255b-2-3p20.571−0.0016.4290.0010.014N
PTBhsa-miR-1255b-2-3p19.143−0.0026.4290.0120.014N
Normalhsa-miR-129-1-3p12.571−0.00119.1430.0000.014N
PTBhsa-miR-129-1-3p19.429−0.0026.4290.0120.014N
Normalhsa-miR-129-2-3p6.2860.0006.4290.0000.014N
PTBhsa-miR-129-2-3p19.143−0.0026.4290.0120.014N
Normalhsa-miR-1343-3p41.857−0.0025.8570.0070.029N
PTBhsa-miR-1343-3p36.571−0.0016.4290.0330.029N
Normalhsa-miR-147b12.429−0.00439.0000.0030.042N
PTBhsa-miR-147b32.571−0.0157.8570.1090.042N
Normalhsa-miR-15a-3p41.857−0.00113.5710.0020.031N
PTBhsa-miR-15a-3p19.429−0.0036.5710.0230.031N
Normalhsa-miR-2277-3p6.286−0.01419.1430.0280.001N
PTBhsa-miR-2277-3p18.714−0.0376.4290.2540.001N
Normalhsa-miR-301b-5p41.857−0.00228.1430.0040.043N
PTBhsa-miR-301b-5p18.714−0.0016.4290.0210.043N
Normalhsa-miR-3116-138.857−0.00137.0000.0010.014N
PTBhsa-miR-3116-119.429−0.0026.4290.0110.014N
Normalhsa-miR-3116-239.5710.00010.2860.0000.014N
PTBhsa-miR-3116-219.429−0.0026.4290.0110.014N
Normalhsa-miR-3184-3p27.429−0.00113.0000.0020.046N
PTBhsa-miR-3184-3p19.429−0.0036.5710.0440.046N
Normalhsa-miR-337-3p19.000−0.0035.8570.0940.017N
PTBhsa-miR-337-3p36.714−0.0246.5710.3230.017N
Normalhsa-miR-36656.429−0.01113.7140.0100.004N
PTBhsa-miR-366519.286−0.0346.5710.2120.004N
Normalhsa-miR-379-3p41.857−0.04627.4290.2860.004N
PTBhsa-miR-379-3p36.714−0.0446.5710.6060.004N
Normalhsa-miR-390826.429−0.0016.2860.0040.007N
PTBhsa-miR-390819.286−0.0076.4290.0380.007N
Normalhsa-miR-3942-3p10.286−0.00327.4290.0030.006N
PTBhsa-miR-3942-3p18.571−0.0096.5710.0590.006N
Normalhsa-miR-411-3p41.857−0.04627.4290.2740.004N
PTBhsa-miR-411-3p36.714−0.0506.5710.6160.004N
Normalhsa-miR-430141.857−0.0015.8570.0020.013N
PTBhsa-miR-430135.286−0.0026.4290.0320.013N
Normalhsa-miR-431827.000−0.00110.2860.0030.031N
PTBhsa-miR-431819.286−0.0036.4290.0230.031N
Normalhsa-miR-433-5p41.857−0.0016.1430.0010.046N
PTBhsa-miR-433-5p19.429−0.0026.5710.0210.046N
Normalhsa-miR-450219.143−0.00213.5710.0010.040N
PTBhsa-miR-450219.286−0.0026.4290.0220.040N
Normalhsa-miR-452220.2860.00037.7140.0010.014N
PTBhsa-miR-452219.286−0.0026.4290.0110.014N
Normalhsa-miR-4529-3p26.429−0.0016.2860.0010.039N
PTBhsa-miR-4529-3p19.429−0.0026.4290.0120.039N
Normalhsa-miR-453013.286−0.02141.8570.0150.004N
PTBhsa-miR-453018.714−0.0686.4290.4070.004N
Normalhsa-miR-4640-3p12.1430.00038.8570.0010.014N
PTBhsa-miR-4640-3p19.143−0.0026.5710.0110.014N
Normalhsa-miR-4709-5p6.143−0.00318.7140.0040.008N
PTBhsa-miR-4709-5p18.714−0.0076.4290.0380.008N
Normalhsa-miR-4769-5p12.429−0.00139.0000.0010.003N
PTBhsa-miR-4769-5p19.429−0.0036.4290.0190.003N
Normalhsa-miR-500a-5p26.429−0.01011.2860.0190.007N
PTBhsa-miR-500a-5p19.286−0.0676.4290.4210.007N
Normalhsa-miR-500b-5p41.857−0.01511.2860.0260.006N
PTBhsa-miR-500b-5p19.143−0.0696.4290.4300.006N
Normalhsa-miR-56986.286−0.01039.0000.0070.009N
PTBhsa-miR-569819.286−0.0146.4290.2080.009N
Normalhsa-miR-57237.714−0.00112.8570.0010.003N
PTBhsa-miR-57219.143−0.0036.4290.0190.003N
Normalhsa-miR-579-3p5.857−0.00119.1430.0020.015N
PTBhsa-miR-579-3p19.429−0.0036.5710.0230.015N
Normalhsa-miR-58619.000−0.00212.5710.0010.003N
PTBhsa-miR-58618.571−0.0076.4290.0380.003N
Normalhsa-miR-655-3p20.571−0.00119.1430.0010.014N
PTBhsa-miR-655-3p19.429−0.0036.4290.0240.014N
Normalhsa-miR-6759-5p6.286−0.00112.8570.0010.003N
PTBhsa-miR-6759-5p19.286−0.0036.4290.0200.003N
Normalhsa-miR-6783-3p39.571−0.0035.8570.0030.005N
PTBhsa-miR-6783-3p19.143−0.0086.4290.0820.005N
Normalhsa-miR-6797-5p8.286−0.00119.1430.0010.003N
PTBhsa-miR-6797-5p19.429−0.0046.4290.0190.003N
Normalhsa-miR-6798-5p12.143−0.00120.5710.0010.003N
PTBhsa-miR-6798-5p19.429−0.0046.5710.0190.003N
Normalhsa-miR-6802-5p41.857−0.01528.1430.0400.032N
PTBhsa-miR-6802-5p19.429−0.0096.4290.1050.032N
Normalhsa-miR-6838-3p12.5710.00010.2860.0010.014N
PTBhsa-miR-6838-3p18.571−0.0026.4290.0110.014N
Normalhsa-miR-6856-5p40.857−0.00128.1430.0020.024N
PTBhsa-miR-6856-5p19.429−0.0026.4290.0120.024N
Normalhsa-miR-80795.857−0.00112.4290.0000.046N
PTBhsa-miR-807919.429−0.0026.4290.0220.046N
Normalhsa-miR-93326.571−0.00113.7140.0030.028N
PTBhsa-miR-93319.429−0.0046.4290.0230.028N
Linear mixed modeling of 173 statistically significant miRNAs that change across gestation when comparing normal to PTB pregnancies. miRNA counts were normalized using the DESeq2 package in R prior to statistical analysis using the likelihood ratio test. Subsequently, linear mixed modeling was performed on the 173 statistically significant miRNAs (P < 0.05) that change across gestation when comparing normal to PTB pregnancies, using the lme4 package in R. The data were scaled between 0 and 1 before hierarchical clustering analysis using Euclidean distance, which is displayed as a circular cladogram (generated using the ggtree package in R). Each color of the circular cladogram represents a different cluster and its trend, as shown in (A)–(N). Within the panels, red indicates normal pregnancies whereas blue indicates PTB pregnancies. Highest expressed miRNAs in each cluster identified using linear mixed modeling when comparing normal pregnancies to PTB pregnancies across gestation. Linear mixed modeling and circular cladogram analysis when comparing normal pregnancies to PTB pregnancies across gestation were divided into 14 clusters. The highest expressed miRNA from each cluster was extracted and color coded based on the cluster of origin. Clusters are in ascending order [corresponding to (A)–(N) in Fig. 6] starting from the top of the figure, reading from left to right and continuing onto the next line of graphs below. Red indicates normal pregnancies whereas blue indicates PTB pregnancies. Significant miRNAs That Change Across Gestation for Normal Versus PTB Pregnancies

Pathway analysis and gene target and gene ontology prediction

Gene target and pathway analyses of the largest maximum expression exosomal miRNAs that were revealed to be differentially expressed in term, PTB, and term vs PTB across gestation were analyzed using in silico tools, including the CyTargetLinker application in Cytoscape, as well as Ingenuity pathway analysis (IPA). In term, PTB, and term vs PTB pregnancies, the largest maximum expression miRNAs were linked to 645, 1677, and 686 target genes, respectively, and these gene targets were represented in at least two miRNA databases. The target genes of the differentially expressed miRNAs were subjected to gene ontology analysis using the BiNGO application in Cytoscape that identified a total of 1000, 1172, and 995 gene ontology terms, respectively, being regulated by these miRNAs. Within this gene ontology network, pathways regulating the immune system process were enriched (P < 0.05) in term and PTB pregnancies (Fig. 8A and 8B). Then, we performed a bioinformatics analysis on the largest maximum expression miRNA profile in term, PTB, and term vs PTB analysis, and our data establish that the differences in the miRNA profile between these groups target the signaling pathways associated with TGF-β signaling, p53, and glucocorticoid receptor signaling, respectively (Fig. 8C–8E).
Figure 8.

miRNA gene target and gene ontology analysis for the highest abundant miRNAs per cluster in each condition. Gene target analysis for significant and highest abundant miRNAs in each cluster for normal, PTB, and normal vs PTB pregnancies across gestation are shown. Gene ontology analysis for these gene targets showed enrichment for immune systems process in (A) normal and (B) PTB pregnancies. The yellow circles indicate statistically significant gene ontologies (P value <0.05), while the change of color from yellow to orange indicates increasing statistical significance. Bioinformatics analysis on the largest maximum expression miRNA profile in (C) term, (D) PTB, and (E) term vs PTB show differences in the miRNA profile between these groups target signaling pathways (circled in green) associated with (C) TGF-β signalling, (D) p53, and (E) glucocorticoid receptor signalling.

miRNA gene target and gene ontology analysis for the highest abundant miRNAs per cluster in each condition. Gene target analysis for significant and highest abundant miRNAs in each cluster for normal, PTB, and normal vs PTB pregnancies across gestation are shown. Gene ontology analysis for these gene targets showed enrichment for immune systems process in (A) normal and (B) PTB pregnancies. The yellow circles indicate statistically significant gene ontologies (P value <0.05), while the change of color from yellow to orange indicates increasing statistical significance. Bioinformatics analysis on the largest maximum expression miRNA profile in (C) term, (D) PTB, and (E) term vs PTB show differences in the miRNA profile between these groups target signaling pathways (circled in green) associated with (C) TGF-β signalling, (D) p53, and (E) glucocorticoid receptor signalling.

Discussion

The aim of this study was to characterize serial changes in the exosomal miRNA concentration present in maternal circulation across gestation in term and PTB pregnancies. We implemented an innovative approach using linear mixed modeling to determine exosomal miRNA expression as a function of gestational age in term and PTB pregnancies. The data obtained identified exosomal miRNA changes specific to term and PTB as a function of the gestational age during pregnancy.

Exosomal miRNA changes in normal pregnancies

miRNA clusters that are differentially regulated are functionally linked to various physiologic and pathologic conditions during pregnancy. These functions include regulation of cell growth (miR-3200) (25), control of cell transition factors in female reproductive tract by IGF receptor 1 and TGF-β receptor 2 functions (miR-3200-5p) (26), anomalous placentation (miR-320a) (27), epithelial mesenchymal transition involved in tissue remodeling (miR-25-3p) (28), gestational hypertension, preeclampsia, and intrauterine growth restriction (miR-143-3p) (29), cell proliferation and migration (miR129-1 cluster) (30), oocyte aging and embryogenesis (miR-203a-3p) (29, 31), cell proliferation and migration (miR-324-5p) (32), MAPK function and induction of cell cycle arrest as seen in senescent uterine cells (miR129-1 cluster) (30), and immune responses and inflammatory reactions (miR-6769b-5p) (33). miRNAs collectively represent TGF-β signaling during various stages of gestation ending in term deliveries (34, 35). TGF-β is an anti-inflammatory cytokine, and ongoing work in the Menon laboratory suggests that they can contribute to epithelial mesenchymal transitions of amnion epithelial cells to maintain fetal membrane homeostasis. In placenta, TGF-β1 and IGFBP-3 have been shown to signal through TGF-β receptors to influence human cytotrophoblast proliferation (36). Similarly, TGF-β1 upregulates connexin43-mediated gap junctional intercellular communication required for human trophoblast differentiation (37). Therefore, miRNA profiling in exosomes during normal gestation and parturition indicates that TGF-β–mediated tissue homeostasis (regulates cellular proliferation and transitions) is required for pregnancy maintenance.

Exosomal miRNA changes in PTB

Examination of differentially expressed exosomal miRNA in PTB samples provided more distinct clusters than for normal birth. A summary of functional roles already reported for many of the miRNAs identified in exosomes from PTB suggests that miRNAs are functionally linked to cell cycle regulation (let-7a-2-5p) (38, 39), MAPK kinase kinases and inhibition of cell growth (miR-520a-3p) (40), cellular transitions and inflammation (miR-520a-3p and miR-483-3p) (41, 42), placental oxidative stress response and impairment of mitochondrial function (miR-130b-3p and miR-4433b-3p) (43, 44), macrophage programming contributing to inflammatory and oxidative stress damages (miR-142-5p) (45), preeclampsia (miR-342-3p) (46, 47), as well as placental dysfunction and impaired fetal growth due to folate deficiency (miR-222-3p) (48).

PTB

One of the key pathways affected in PTB (as determined in our IPA analysis) is a p53-mediated mechanism (49). The function of p53 is overtly represented in exosomes during gestation ending in PTB compared with normal term birth. p53 is a well-reported tumor suppressor protein that is implicated in placental and decidual cell senescence and fetal membrane apoptosis (50). Overrepresentation of the p53 pathway in exosomes during pregnancies ending in PTB suggests disturbances in normal cell cycle indicative of cellular senescence and/or programmed cell death. IPA analysis of differentially expressed miRNAs represented glucocorticoid signaling as one of the key pathways implicated in PTB. Several reports by Zakar et al. (51, 52) and Zakar and Olson (53) have shown the effect of glucocorticoids on prostaglandin production (uterotonin) as well as their role in organ maturation and fetal growth. In most mammalian species, increased concentrations of glucocorticoids are evident in the maternal and fetal circulations and amniotic fluid prior to the onset of labor. Glucocorticoids directly increase fetal placental prostaglandin production, and they indirectly increase prostaglandin production by maternal uterine tissues through the stimulation of placental estradiol synthesis (54, 55). Thus, exosomal miRNA representation of glucocorticoid signaling implicates untimely activation of this signaling in PTB during early gestation compared with those ending in normal term deliveries (56, 57). The strengths of this study are longitudinal sampling at four separate time points from a well-defined cohort of subjects and technological approaches to isolate and characterize exosomal miRNAs. This study precisely is a hypothesis-generation work, and the pathways and networks identified in this study still need further testing using in vitro cell culture models or animal models. We have correlated the networks and pathways to pregnancy whenever data were available in the literature and or suggested potential functions based on the reported functions in other systems. Another important point about this study is that we profiled the miRNAs associated with the total circulating exosomes present in maternal plasma across gestation, and the origin of these exosomes (i.e., placenta) was not identified. Owing to technical difficulties, miRNA quantity that can be obtained from the fetal portion of maternal plasma (∼15% to 20%) is not sufficient to yield a fetal-only miRNA signature. Thus, the miRNA profile is an indication of an overall change in fetal as well as maternal tissues and is not restricted to either fetal or uterine tissues. Regardless, the exosome miRNA profile is unique at different trimesters, at term and preterm, and it differs substantially between pregnancies ending up with preterm and term births. Irrespective of origin of exosomes, these are indicative of overall physiologic changes in fetomaternal tissues. In summary, the exosomal miRNAs showing maximum expression for each trend of change were associated with inflammation and cellular movement for term pregnancy. Alternatively, the top molecular and cellular functions targeted by the top exosomal miRNAs in PTB were cell-to-cell signaling and interaction, cellular growth and proliferation, and cellular development. Comparative analysis between the exosomal miRNA in term and PTB reveals that main differences are in cell morphology and cellular development. The data presented in this study establish that circulating exosomes carry a specific set of miRNAs as a function of the gestational age in term pregnancy, and that the circulating exosomal miRNA profile changes in PTB pregnancies compared with normal term deliveries. We posit that exosomes may contribute to the inflammatory state and metabolic changes associated with pregnancy by the specific incorporation of miRNAs, which might be delivered to maternal cells to support the normal maternal physiological changes during gestation, a phenomenon dysregulated in PTB pregnancies.
  57 in total

Review 1.  Fetal endocrine signals and preterm labor.

Authors:  J R Challis; S K Smith
Journal:  Biol Neonate       Date:  2001

2.  MicroRNA-324 in Human Cancer: miR-324-5p and miR-324-3p Have Distinct Biological Functions in Human Cancer.

Authors:  Wei-Ting Kuo; Shou-Yu Yu; Sung-Chou Li; Hing-Chung Lam; Hong-Tai Chang; Wei-Shone Chen; Chung-Yu Yeh; Syue-Fen Hung; Tsai-Chi Liu; Tony Wu; Chia-Cheng Yu; Kuo-Wang Tsai
Journal:  Anticancer Res       Date:  2016-10       Impact factor: 2.480

3.  The microRNA (miR)-199a/214 cluster mediates opposing effects of progesterone and estrogen on uterine contractility during pregnancy and labor.

Authors:  Koriand'r C Williams; Nora E Renthal; Robert D Gerard; Carole R Mendelson
Journal:  Mol Endocrinol       Date:  2012-09-12

4.  Dexamethasone stimulates arachidonic acid conversion to prostaglandin E2 in human amnion cells.

Authors:  T Zakar; D M Olson
Journal:  J Dev Physiol       Date:  1989-11

Review 5.  Transforming growth factor-beta signaling during epithelial-mesenchymal transformation: implications for embryogenesis and tumor metastasis.

Authors:  Ali Nawshad; Damian Lagamba; Ahmad Polad; Elizabeth D Hay
Journal:  Cells Tissues Organs       Date:  2005       Impact factor: 2.481

6.  A distinct mechanism of senescence activation in amnion epithelial cells by infection, inflammation, and oxidative stress.

Authors:  Christopher Luke Dixon; Lauren Richardson; Samantha Sheller-Miller; George Saade; Ramkumar Menon
Journal:  Am J Reprod Immunol       Date:  2017-11-30       Impact factor: 3.886

Review 7.  Early-life glucocorticoid exposure: the hypothalamic-pituitary-adrenal axis, placental function, and long-term disease risk.

Authors:  Thorsten Braun; John R Challis; John P Newnham; Deborah M Sloboda
Journal:  Endocr Rev       Date:  2013-08-22       Impact factor: 19.871

8.  Cardiovascular and Cerebrovascular Disease Associated microRNAs Are Dysregulated in Placental Tissues Affected with Gestational Hypertension, Preeclampsia and Intrauterine Growth Restriction.

Authors:  Ilona Hromadnikova; Katerina Kotlabova; Lucie Hympanova; Ladislav Krofta
Journal:  PLoS One       Date:  2015-09-22       Impact factor: 3.240

9.  Exosomes provide a protective and enriched source of miRNA for biomarker profiling compared to intracellular and cell-free blood.

Authors:  Lesley Cheng; Robyn A Sharples; Benjamin J Scicluna; Andrew F Hill
Journal:  J Extracell Vesicles       Date:  2014-03-26

10.  Tissue and Serum miRNA Profile in Locally Advanced Breast Cancer (LABC) in Response to Neo-Adjuvant Chemotherapy (NAC) Treatment.

Authors:  Manal Al-Khanbashi; Stefano Caramuta; Adil M Alajmi; Ibrahim Al-Haddabi; Marwa Al-Riyami; Weng-Onn Lui; Mansour S Al-Moundhri
Journal:  PLoS One       Date:  2016-04-11       Impact factor: 3.240

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  31 in total

1.  Unique microRNA Signals in Plasma Exosomes from Pregnancies Complicated by Preeclampsia.

Authors:  Hui Li; Yingshi Ouyang; Elena Sadovsky; W Tony Parks; Tianjiao Chu; Yoel Sadovsky
Journal:  Hypertension       Date:  2020-01-27       Impact factor: 10.190

Review 2.  The biology, function, and biomedical applications of exosomes.

Authors:  Raghu Kalluri; Valerie S LeBleu
Journal:  Science       Date:  2020-02-07       Impact factor: 47.728

Review 3.  Emerging role of toll-like receptors signaling and its regulators in preterm birth: a narrative review.

Authors:  Ge Huang; Dan Yao; Xiaoli Yan; Mingyu Zheng; Ping Yan; Xiaoxia Chen; Dan Wang
Journal:  Arch Gynecol Obstet       Date:  2022-08-02       Impact factor: 2.493

Review 4.  Extracellular vesicles in spontaneous preterm birth.

Authors:  Ramkumar Menon; Hend Shahin
Journal:  Am J Reprod Immunol       Date:  2020-10-12       Impact factor: 3.886

5.  Mid-pregnancy maternal blood nitric oxide-related gene and miRNA expression are associated with preterm birth.

Authors:  Tracy A Manuck; Lauren A Eaves; Julia E Rager; Rebecca C Fry
Journal:  Epigenomics       Date:  2021-04-23       Impact factor: 4.778

6.  Extracellular vesicle microRNA in early versus late pregnancy with birth outcomes in the MADRES study.

Authors:  Caitlin G Howe; Helen B Foley; Elizabeth M Kennedy; Sandrah P Eckel; Thomas A Chavez; Dema Faham; Brendan H Grubbs; Laila Al-Marayati; Deborah Lerner; Shakira Suglia; Theresa M Bastain; Carmen J Marsit; Carrie V Breton
Journal:  Epigenetics       Date:  2021-03-18       Impact factor: 4.528

7.  Placental miR-3940-3p Is Associated With Maternal Insulin Resistance in Late Pregnancy.

Authors:  Fernanda Alvarado-Flores; Tomoko Kaneko-Tarui; William Beyer; Jacqueline Katz; Tianjiao Chu; Patrick Catalano; Yoel Sadovsky; Marie-France Hivert; Perrie O'Tierney-Ginn
Journal:  J Clin Endocrinol Metab       Date:  2021-11-19       Impact factor: 6.134

Review 8.  The promise of placental extracellular vesicles: models and challenges for diagnosing placental dysfunction in utero†.

Authors:  Lindsey N Block; Brittany D Bowman; Jenna Kropp Schmidt; Logan T Keding; Aleksandar K Stanic; Thaddeus G Golos
Journal:  Biol Reprod       Date:  2021-01-04       Impact factor: 4.161

9.  Nitric oxide-related gene and microRNA expression in peripheral blood in pregnancy vary by self-reported race.

Authors:  Tracy A Manuck; Lauren A Eaves; Julia E Rager; Karen Sheffield-Abdullah; Rebecca C Fry
Journal:  Epigenetics       Date:  2021-07-24       Impact factor: 4.861

Review 10.  Novel pathways of inflammation in human fetal membranes associated with preterm birth and preterm pre-labor rupture of the membranes.

Authors:  Ramkumar Menon; Faranak Behnia; Jossimara Polettini; Lauren S Richardson
Journal:  Semin Immunopathol       Date:  2020-08-12       Impact factor: 11.759

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