Luca Gál
Ábel Fóthi
Gergő Orosz3
Sándor Nagy
Nándor Gábor Than
Tamás I. Orbán- 1Gene Regulation Research Group, Institute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary
- 2Doctoral School of Biology, Institute of Biology, ELTE Eötvös Loránd University, Budapest, Hungary
- 3Department of Obstetrics and Gynaecology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
- 4Department of Obstetrics and Gynecology, Petz Aladár University Teaching Hospital, Győr, Hungary
- 5Faculty of Health and Sport Sciences, Széchenyi István University, Győr, Hungary
- 6Systems Biology of Reproduction Research Group, Institute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary
- 7Department of Obstetrics and Gynecology, Semmelweis University, Budapest, Hungary
- 8Maternity Private Clinic of Obstetrics and Gynecology, Budapest, Hungary
- 9Genesis Theranostix Group, Budapest, Hungary
Introduction: Preeclampsia (PE) is a severe obstetrical syndrome characterized by new-onset hypertension and proteinuria and it is often associated with fetal intrauterine growth restriction (IUGR). PE leads to long-term health complications, so early diagnosis would be crucial for timely prevention. There are multiple etiologies and subtypes of PE, and this heterogeneity has hindered accurate identification in the presymptomatic phase. Recent investigations have pointed to the potential role of small regulatory RNAs in PE, and these species, which travel in extracellular vesicles (EVs) in the circulation, have raised the possibility of non-invasive diagnostics. The aim of this study was to investigate the behavior of exosomal regulatory small RNAs in the most severe subtype of PE with IUGR.
Methods: We isolated exosomal EVs from first-trimester peripheral blood plasma samples of women who later developed preterm PE with IUGR (n=6) and gestational age-matched healthy controls (n=14). The small RNA content of EVs and their differential expression were determined by next-generation sequencing and further validated by quantitative real-time PCR. We also applied the rigorous exceRpt bioinformatics pipeline for small RNA identification, followed by target verification and Gene Ontology analysis.
Results: Overall, >2700 small RNAs were identified in all samples and, of interest, the majority belonged to the RNA interference (RNAi) pathways. Among the RNAi species, 16 differentially expressed microRNAs were up-regulated in PE, whereas up-regulated and down-regulated members were equally found among the six identified Piwi-associated RNAs. Gene ontology analysis of the predicted small RNA targets showed enrichment of genes in pathways related to immune processes involved in decidualization, placentation and embryonic development, indicating that dysregulation of the induced small RNAs is connected to the impairment of immune pathways in preeclampsia development. Finally, the subsequent validation experiments revealed that the hsa_piR_016658 piRNA is a promising biomarker candidate for preterm PE associated with IUGR.
Discussion: Our rigorously designed study in a homogeneous group of patients unraveled small RNAs in circulating maternal exosomes that act on physiological pathways dysregulated in preterm PE with IUGR. Therefore, our small RNA hits are not only suitable biomarker candidates, but the revealed biological pathways may further inform us about the complex pathology of this severe PE subtype.
1 Introduction
Preeclampsia (PE) is a severe obstetrical syndrome characterized by new-onset hypertension and proteinuria after the 20th week of pregnancy. It results in severe maternal complications, such as end-organ dysfunction, and is frequently associated with fetal intrauterine growth restriction (IUGR) (1–5). Moreover, beyond the pregnancy, it can pose a life-threatening risk of cardiometabolic disease and long-term health issues for both the mother and her offspring (6, 7), and it also increases the risk of recurrence of preeclampsia in subsequent pregnancies, especially in women who have underlying immunological disorders (e.g. autoimmune diseases) (8). During pregnancy, placental development requires dynamic tissue rearrangement and remodeling of the uterine spiral arteries within the decidua and the inner third of the myometrium by a well-controlled extravillous trophoblast invasion process (9). The etiology of PE remains incompletely elucidated, but the generally accepted view is that these tightly-regulated placental developmental processes, which include trophoblast invasion, are disrupted, leading to a malfunctioning placenta, the consequent placental release of anti-angiogenic and pro-inflammatory substances, downstream maternal systemic immune cell activation, platelet activation, and disturbed fetal circulation and growth (4, 5, 10–20). PE occurring before the 34th week of pregnancy (early-onset PE, EOPE) is characterized by the insufficient development and subsequent dysfunction of the placenta, leading to strong systemic inflammation in the maternal vasculature, endothelial dysfunction, end-organ disease, and often fetal growth retardation. In contrast, the late-onset PE (LOPE) subtype, which manifests after 34 weeks of gestation, is less affected by placental disease and is strongly correlated with maternal chronic health conditions, such as pre-existing cardiovascular disease, obesity, or type 2 diabetes. It is often considered a metabolic imbalance when the placental capacity is inadequate to meet the demands of the growing fetus (2, 14, 21–28).
PE affects 2-8% of all pregnancies worldwide (7, 29), leading to the deaths of more than 75,000 women and 500,000 fetuses annually (4), but as the symptoms can usually be detected only in the second half of gestation, early detection of the disease using appropriate biomarkers remains a challenge. Recently, several studies have proposed the role of non-coding RNAs (ncRNAs) in the etiology of PE (30–33), and an emerging view is that these molecules could be transported in the circulation in membrane-encapsulated extracellular vesicles (EVs) and thus have diagnostic significance (34–40). Among the ncRNA groups, small RNAs of the RNA interference (RNAi) pathways are attractive targets for investigation because their functional roles have been more extensively elucidated as opposed to other classes, such as long ncRNAs or Y RNAs (31, 41). The most prominent representatives of the RNAi-related species are microRNAs (miRNAs) and Piwi-associated small RNAs (piRNAs). Both classes represent short single-stranded RNAs that are incorporated into Argonaute (AGO) family protein-containing RNA-induced silencing complexes (RISCs), which find their target RNA molecules through sequence complementarity (42, 43). miRNAs are shorter, typically between 20-24 nucleotides in length; they associate with the AGO-clade proteins (AGO1-4 in humans), and their effector complexes mostly target mRNAs, initiating their decay and/or inhibiting their translation (44, 45). Since a single miRNA molecule can regulate multiple target mRNAs, and vice versa, one mRNA can be regulated by several miRNA species, the functional role of miRNA-containing RISCs can be considered as a complex, post-transcriptional fine-tuning of gene expression (46, 47). In contrast, piRNAs are longer, with an average length of 27-35 nucleotides, are 2’-OH methylated at their 3’ end, and associate with the PIWI clade of AGO proteins (PIWIL1-4 in humans) (48). They were originally considered to be the “guardians” of germline cells mainly by targeting transposable elements (49–51), but recent studies have also uncovered several functions of piRNAs in somatic cells (48, 52).
Recently, numerous investigations have been published describing the putative roles of various small RNAs in PE, but the overlap among these predicted targets is typically small (33, 53–59). Apart from technical differences, a major concern with these investigations is that the included patient groups in these studies were not generally uniform due to the inherent heterogeneity of the disease. As described earlier, PE can be divided into at least two major subtypes based on the clinical onset of the symptoms (EOPE versus LOPE), but various further subclasses can be defined based on the patients’ molecular profiles (2, 22, 24, 60–62). Therefore, to find reliable etiological factors and potential biomarkers, this disease heterogeneity must be considered in the study design. Here, we aimed to investigate the early molecular background of PE at the small RNA level in a well-defined, clinically homogeneous population of patients with the most severe phenotype, which develops before 37 weeks of gestation and strongly affects fetal growth.
2 Materials and methods
2.1 Study population, clinical definition
Patient recruitment and sample collection were carried out during the second phase of the Hungarian Perinatal Study (HUN-PER) at the Department of Obstetrics and Gynecology of the Petz Aladár County Teaching Hospital in Győr, and at the Department of Obstetrics and Gynecology of the University of Debrecen in Debrecen.
First-trimester plasma samples from six Caucasian women who later developed PE associated with IUGR and 14 healthy controls matched for gestational age (GA) within one week of sample collection were selected for inclusion. GA was determined based on fetal crown-rump length (CRL) measured by ultrasound scan between the 10th and 13th weeks of pregnancy. PE was defined as new-onset hypertension developing after 20 weeks of gestation (systolic and/or diastolic blood pressure of >140mmHg and/or >90mmHg, respectively, measured on at least 2 occasions, 4 hours to 1 week apart) coupled with proteinuria (>300mg in a 24-hour urine collection or 2 random urine specimens with ≥1+ protein by dipstick collected 4 hours to 1 week apart or one random urine specimen with ≥2+ protein by dipstick) (63). Early-onset PE was defined as PE that developed at <34 weeks of gestation (64). IUGR was defined as fetal weight either below the 3rd percentile or below the 10th percentile combined with Doppler anomalies (65). Women in the control group had an uncomplicated pregnancy which resulted in the delivery of an appropriate-for-gestational-age neonate at term (>37 weeks of gestation).
2.2 Sample collection and handling
Venous blood samples were collected between the 10th and 13th weeks of pregnancy in 4 mL EDTA tubes and kept at 4°C for a maximum of 3 hours prior to processing. Plasma was separated by centrifuging blood (2,000×g, 10min, 4°C followed by 10,000×g, 10min, 4°C), and then stored in 300μl aliquots at −80°C. The samples and the associated clinical and demographic information, including the delivery and medication records, were stored anonymously at the Perinatal Biobank of the Research Centre for Natural Sciences in Budapest, Hungary (https://www.perinatalbiobank.com/).
2.3 Exosome and RNA extraction
For the procedure, we followed the previously published protocol (66). Briefly, 300μl aliquots of stored plasma samples were centrifuged at 3000×g for 5 minutes, then pre-filtered through a 0.22 μm syringe filter to remove cell debris and larger-sized EVs. Exosomes were isolated from ~200 μl of pre-filtered plasma samples and subsequently, total RNA was extracted from the exosomes using the exoRNeasy Midi Kit (QIAGEN) following the manufacturer’s instructions.
2.4 Small RNA sequencing
Small RNA sequencing was performed by Lexogen GmbH without bioinformatics or subsequent analysis. RNA integrity was assessed on a Fragment Analyzer System using the DNF-471 RNA Kit (Agilent). Multiplexed sequencing-ready indexed small RNA libraries were prepared using the Small RNA-Seq Library Prep Kit for Illumina (052UG128V0110) following the procedure as described in the User’s Guide. For library preparation, an average of 1 ng of the total RNA sample was used as an input without small RNA enrichment. The quality control of the library preparation was checked by HS DNA assay for the Fragment Analyzer system (Agilent). The concentration of the resulting libraries was quantified using a Qubit dsDNA HS assay (Thermo Fisher). Next-Generation Sequencing (NGS) was performed on the Illumina NextSeq 2000 platform.
Bioinformatics analysis was performed using the exceRpt pipeline (version 4.3.2) (67). Read Per Million (RPM) normalized readcounts were used for the analysis of differential expression in exosomal small RNA, employing the glmQL method within the edgeR package (version 3.38.4) (68). The raw and processed sequencing data are available in the GSE241815 dataset at Gene Expression Omnibus (GEO).
2.5 Target prediction and gene ontology
The target mRNAs of the miRNAs were predicted by the miRabel web tool with a miRabel score of less than 0.05. The target genes of piRNAs were identified by miRanda 3.3a against the human transcriptome (hg38) with a maximum free energy of -20 kcal/mol and a miRanda score threshold of 160. Only protein-coding targets were subjected to subsequent analyses. Gene Ontology (GO) analysis was performed using the web tool ShinyGo 0.77. When the target mRNAs of miRNAs and piRNAs were handled separately, the target mRNAs of a minimum of 4 miRNAs and a minimum of 2 piRNAs were selected for GO. When the target mRNAs of up- and down-regulated small RNAs were examined, the genes targeted by a minimum of 5 up-regulated or 1 down-regulated small RNA were selected for GO.
2.6 Reverse-transcription and quantitative real-time PCR
cDNA synthesis was performed using the miRCURY LNA RT Kit (QIAgen), with 0.56 μl of RNA templates added to each reaction according to the equation “Template RNA [µl] = Elution volume [µl]/Original sample volume [µl] * 8 [µl]” (https://www.qiagen.com/us/resources/resourcedetail?id=34039664-5bf4-42b1-9858-f4c28dace788&lang=en). qPCR was carried out using the miRCURY Probe PCR Kit, run on a StepOnePlus™ platform (Thermo Fisher Scientific) according to the manufacturer’s instructions. miRCURY LNA miRNA Probe Assays were applied in the case of hsa-miR-122-5p, while custom-made miRCURY LNA miRNA Custom Probe Assays were used in the case of hsa_piR_016658 (Table 1). During qPCR measurements, we applied the ΔΔCt method. We used hsa-miR-21-5p as an endogenous control and we normalized the small RNA expression levels to the mean expression levels of the control samples instead of using a dedicated reference sample.
Table 1 Sequences of mature small RNAs investigated by qPCR.
2.7 Statistical analyses
We used R 4.2.2 for statistical analysis. The Shapiro-Wilk test was carried out to determine the normality of the continuous variables in the patient descriptive table. For normally distributed continuous variables, we assessed the homogeneity of variance using the F-test, and subsequently, we used the two sample t-test to examine statistical significance. For non-normally distributed continuous variables, we used the non-parametric Wilcoxon Rank-Sum test for comparison. For categorical variables, Fisher’s exact test was used for comparison between groups. In the sequencing data analysis, the differential exosomal small RNA expression was identified by the quasi-likelihood F-test, where the GA at sampling (in weeks) calculated by CRL was added as an additional experimental factor in the design matrix. -ΔΔCt values of the small RNAs were represented on box plots as medians with interquartile ranges. p-values were calculated by the logistic regression model, in which we adjusted for GA at sampling (in weeks). Results were considered statistically significant at a p-value of <0.05.
3 Results
3.1 Characteristics of the study population
To investigate the changes in exosomal small RNA content associated with PE in early pregnancy, we selected first-trimester maternal plasma samples from 14 control individuals and 6 patients with PE associated with IUGR from our biobank. The demographic and clinical characteristics of the study groups are shown in Table 2. Due to the strict gestational age matching, GA values at sampling were not different between the groups. However, several parameters showed significant differences, including blood pressure, proteinuria, GA at delivery, birth weight, and birth weight percentile. Interestingly, we could also find prior allergies in two-thirds of the PE patients, which is in accord with a previous epidemiological study that revealed maternal allergy as an isolated risk factor for early-onset preeclampsia (69), suggesting an immunological origin of this severe subtype of PE.
Table 2 Clinical and demographic characteristics of the study groups.
3.2 Changes in exosomal small RNA profiles of PE patients in the discovery samples
For small RNA analysis, exosomes were isolated from blood plasma samples of 5 randomly selected control and 5 PE patients, representing “discovery samples”. Following total RNA isolation from the exosomes, the samples were sequenced for small RNAs and the results were analyzed using the bioinformatics pipeline described in the Materials and Methods section. Although limited by the small amounts of starting material, and thereby, the total number of reads, similar proportions of the reads could be mapped to the human genome in all samples (Figure 1A). Since the majority of small RNAs in all samples belong to miRNAs (Figure 1B), we decided to focus on the RNA interference pathways in further analyses, and therefore, also included the detected piRNAs in our study.
Figure 1 Analysis of first-trimester maternal plasma-derived exosomal small RNA sequencing data from the discovery samples in the PE (n=5) and control (n=5) groups. (A) Percentage of mappable and unmappable reads, and those that could not be used for multimap-adjusted alignment. (B) Percentage of small RNA biotypes in maternal plasma-derived exosomal samples.
GA is associated with changes in the expression levels of different kinds of molecules in the maternal circulation, such as miRNAs and proteins (70, 71). Therefore, GA at the time of sampling was included as an additional variable (covariant) in our analyses to calculate the differential gene expression levels. The adjusted expression values were then used to determine the differential miRNA and piRNA expression profiles as shown in Figure 2. We found a total of 22 small RNA species that showed significant differential expression in samples from PE pregnancies as compared to the control group (Table 3). The majority of these small RNAs were up-regulated in PE-derived exosomes, including 16 miRNAs and 3 piRNAs (Table 3), whereas only 3 piRNAs were found to be down-regulated (with negative log2FC values in Table 3). Two of these down-regulated piRNAs (hsa_piR_001331 and hsa_piR_000577) had exactly the same gene expression values which raises the possibility that they may belong to the same piRNA cluster.
Figure 2 Volcano plot of the differentially expressed exosomal miRNAs and piRNAs in PE associated with IUGR. Differentially expressed small RNAs were counted using the edgeR quasi-likelihood F-test with gestational week at the time of sampling as an independent variable. The x-axis represents the log2 transformed ratio of expression between the PE and control groups and the y-axis shows the -log10 of the p-values. Small RNAs validated by qPCR are depicted by arrows.
Table 3 Differentially expressed exosomal small RNAs in preterm PE with IUGR.
3.3 Target analyses of differentially expressed exosome-derived small RNAs
The function of both miRNAs and piRNAs is to regulate mRNA targets mostly at the post-transcriptional level, therefore, we carried out a bioinformatics analysis to search for potential mRNAs targeted by the differentially expressed small RNAs. To apply stringent prediction criteria for miRNA targets, we considered those transcripts of protein-coding genes that contain a minimum of four miRNA binding sites (of the same or different miRNA species). By performing Gene Ontology (GO) analysis, we found that among the 219 predicted targets (the complete list of identified target mRNAs is in Supplementary Table 1), the genes with the highest enrichment are, for example, those involved in ‘decidualization’ (Figure 3A), an important biological process that ensures the adequate implantation of the embryo and maternal-fetal immune interactions during pregnancy (72, 73). Indeed, ‘embryo implantation’ and ‘placental development’ were also among the impacted biological processes similar to the ‘regulation of blood vessel endothelial cell migration’, all of which are disrupted in preterm severe PE as discussed above. In addition, the majority of the other enrichment categories represent various developmental pathways (such as nervous system development) that are required for normal embryogenesis. These results thus strongly indicate that the identified exosomal miRNAs are crucial for the regulation of normal pregnancy, implantation, and embryonic development, and are likely to be targeted to both maternal and fetal tissues, with their dysregulation closely linked to maternal and fetal pathogenesis in preterm severe PE.
Figure 3 Gene Ontology of mRNAs targeted by differentially expressed exosomal miRNAs and piRNAs. GO Biological Process Analysis of 219 mRNAs targeted by a minimum of four miRNAs (A) and 118 mRNAs targeted by a minimum of two piRNAs (B). The complete list of the analyzed mRNAs is shown in Supplementary Table 1.
For piRNAs, target prediction is still precarious, as the details of the effector function of piRNA-loaded RISCs in higher organisms, especially in human tissues, are currently under investigation (51, 74). Based on several models (75, 76), we decided to use the miRanda platform to identify mRNA targets with at least two potential piRNA binding sites. Subsequent GO analysis of the identified 118 target mRNAs showed enrichments in nitrogen stress response, estradiol-regulated pathways, and certain neuronal functions, all of which are related to perinatal developmental processes (Figure 3B), further supporting the relevance of the identified piRNAs in the regulation of critical developmental processes in pregnancy.
Having focused on whether any changes in small RNA expression profiles are connected to PE, in a subsequent investigation we asked whether the directionality of the expression changes is important. We considered all miRNAs and piRNAs together that were either up-regulated or down-regulated and analyzed the GO categories predicted for their target mRNAs (the complete list is in Supplementary Table 2). The protein-coding transcripts targeted by the up-regulated small RNAs were especially enriched in the osmotic stress response pathway, but the subsequent categories were also strongly related to pregnancy or placental disorders (decidualization or placental development, blood vessel endothelial remodeling), as well as to calcineurin-NFAT signaling, inositol-phosphate-mediated signaling, embryo implantation and developmental processes (Figure 4A). When analyzing the GO classes of the mRNAs targeted by the down-regulated small RNA species (in this case, piRNAs only), significant enrichments were identified in protein polyubiquitination and various cellular morphogenesis pathways, especially those related to neurodevelopmental processes (Figure 4B). Taken together, all analyses indicated that the identified small RNA species play important roles in normal placental formation and embryonic development, and their dysregulation is strongly connected to disease progression in severe preterm PE associated with IUGR.
Figure 4 GO Biological Process Analysis was carried out for mRNAs targeted by the identified down-regulated or up-regulated exosomal small RNAs. (A) Results are shown for mRNAs targeted by a minimum of five up-regulated small RNAs (miRNAs and/or piRNAs). (B) GO categories are shown for mRNAs targeted by at least one down-regulated small RNA (only piRNAs were found to be down-regulated in this study). The complete list of the analyzed mRNAs is shown in Supplementary Table 2.
3.4 Validation of the identified small RNA expression profiles in an expanded sample set
To validate the small RNA sequencing results, we selected small RNAs with FDR<0.05 values (Table 3) and measured their expression levels by qPCR methodology. The limited number of clinical samples restricted our measurements to a study population of six PE and 14 control samples which also included the discovery samples. The correlation between the GA at the time of sampling and the small RNA exosomal expression levels examined by qPCR was also remarkable (Supplementary Figure 1), so we included the gestational weeks at the time of sampling as an independent variable in our model. As shown in Figure 5, the expression level of the hsa_piR_016658 showed a significant difference between PE patients and controls. In contrast, the expression of the selected hsa-miR-122-5p miRNA did not show a significant difference between the two groups.
Figure 5 qPCR validation of the selected differentially expressed exosomal small RNAs in the validation samples. The box plots show the exosomal expression levels of hsa_piR_016658 (A) and hsa-miR-122-5p (B) small RNAs for the PE (n=6, red) and control (n=14, blue) samples. -ΔΔCt values are shown, and black dots represent normalized small RNA expression levels for each individual patient. The corresponding p-values are shown at the top of each graph and were calculated by a logistic regression model in which the completed gestational weeks at the time of sampling were used as an independent variable. *: statistical significance at p<0.05.
4 Discussion
4.1 Principal findings of the study
1) In total, more than 2700 small RNAs were identified in all samples, and of interest, the majority belong to the RNAi pathways. 2) Among the RNAi species, 16 differentially expressed microRNAs were up-regulated in PE, whereas up-regulated and down-regulated members were equally found among the six identified Piwi-associated RNAs. 3) Gene ontology analysis of the predicted small RNA targets showed enrichment of genes in pathways related to immune processes involved in decidualization, placentation, and embryonic development, indicating that the dysregulation of the elicited small RNAs is connected to the impairment of immune pathways in the development of preeclampsia. 4) The subsequent validation experiments revealed that the hsa_piR_016658 piRNA is a promising candidate biomarker for preterm PE associated with IUGR.
4.2 A homogeneous group of preterm PE patients with IUGR and severe immune disease is our focus
Previous investigations frequently neglected the inherent variability among PE subtypes (77) and the molecular markers elicited in several studies often showed little overlap. Therefore, here we aimed to examine a clearly defined preterm severe subtype of PE that is also associated with fetal growth restriction. This homogenous group of women had pro-inflammatory conditions before pregnancy, including prior maternal allergies (in two-thirds of PE patients), which is in agreement with a previous epidemiological study identifying this risk factor for early-onset PE (75), and underlying a potential immunological background of this severe PE subtype. Although the rigorous selection criteria clearly limited the number of includable samples, this clinically homogeneous group held promise for the identification of pathophysiologically relevant differences. At this early stage of pregnancy, the placenta is not fully developed, and our results may represent the early steps of PE pathogenesis and indicate very early diagnostic markers. In addition to the strict gestational age matching between disease and control samples, we also applied the completed gestational weeks at the time of sampling as a covariant in our bioinformatic models to minimize the bias potentially introduced by gestational age-related changes in exosomal and small RNA quantities in maternal blood.
4.3 Preterm PE-related circulating exosomal small RNAs are associated with placental disease pathways
We focused strictly on the small RNA content of circulating exosomes, aiming to discover novel types of potential biomarkers for this life-threatening PE subtype. It was intriguing to see that the majority of small RNA reads were mapped to miRNAs, and the most abundant species showing no significant expression difference between the groups was hsa-miR-486-5p, which has been widely shown to be present in exosomes (78–80). The miRNAs showing significantly different expression in exosomes were all up-regulated (Table 3) and the majority of them have already been described in connection with various pregnancy-related disorders. These included hsa-miR-1-3p (81), hsa-miR-183-5p (82, 83), hsa-miR-185-5p (84), hsa-miR-186-5p (85), and hsa-miR-20a-5p (81), and the latter three are also normally expressed at higher levels in the first trimester of healthy pregnancies (86), although in certain studies where exosomes were not separated they are referred to as plasma-specific miRNAs (87). Interestingly, hsa-miR-26b-5p showed a tendency for upregulation in PE, but was not found to be differentially expressed in another study (88), which may be due to the heterogeneous patient population included in that study. The hsa-miR-30a-5p was also found to be up-regulated in PE (89) but it was also described as the most abundant cell-free miRNA in the urine (90), raising the possibility of using this biofluid for PE investigations in the future. In contrast to our findings, there were some miRNA species that exhibited reduced expression profiles in placental disorders, such as hsa-miR-143-3p (81) and hsa-miR-96-5p (91). On the other hand, hsa-miR-122-5p showed a remarkable variation: it was found up-regulated in one study (88) but down-regulated in a later one (92), and this variability currently remains unexplained. Of interest, the status of hsa-miR-125b-2-3p is difficult to assess in recent publications because it cannot be determined with certainty which arms or isomiRs were measured in the studies (81, 93, 94). A similar question on miRNA arm usage also applies to the hsa-miR-302a or the hsa-miR-144 loci: in both cases, the downregulation of the 3p arm was detected in PE samples (88, 95), as compared to our data on the upregulation of the 5p arm (Table 3). Although tissue-specific miRNA arm selection cannot be ruled out (47), it is intriguing that for both loci, the miRNA database lists the 5p arms as the dominant ones (https://mirbase.org/). However, the differences compared to our study may arise from the comparison of placental tissue results with exosomal results, as well as from the clinical heterogeneity within the PE group (81). Finally, there are a number of previously found miRNAs (96) that we could not associate with PE. In some cases, such as for the members of the placenta-specific C19MC miRNA cluster, this is due to the early gestation samples when the placenta is less developed; in other cases, certain miRNAs may be predominantly present in the serum but not in the exosomes, such as the hsa-miR-146b-5p (97). On the other hand, it is of interest that we could identify two miRNA species, hsa-miR-501-3p and hsa-miR-4535-3p, which have not yet been associated with PE, suggesting further studies in relation to the whole PE syndrome, or even to different PE subclasses.
In our study, we also detected overexpressed and underexpressed exosomal piRNAs in PE samples. When searching for previously published data, none of these piRNA hits were associated with placental disorders or PE; in fact, we could find published data concerning only one of the piRNAs, namely hsa_piR_016658. Apart from generally being detected in body fluids (90, 98) and even in EVs (99), this piRNA was also found to be overexpressed in the prostate (100) and endometrial cancer (78), or after hypoxia in adipose-derived stromal cells and stem cells (101). Of interest, we detected decreased exosomal expression of this piRNA which may reflect the increased oxygen concentrations in the placental blood spaces or the ischemic environment at the maternal-fetal interface in early pregnancy in patients who subsequently developed PE (102, 103).
Another remarkable finding in our study was that the two other down-regulated piRNAs, namely hsa_piR_001331 and hsa_piR_000577, had exactly the same expression values, suggesting a possible co-regulation, perhaps by being part of the same piRNA cluster. We have found that hsa_piR_001331 and hsa_piR_000577 share a 25-nucleotide-long overlapping region at five different genomic locations (3p26.33 sense, 5q12.1 sense, 5p14.2 anti-sense, 7p21.17 anti-sense and 15q21.2 anti-sense); however, hsa_piR_001331 has 38 genomic copies, whereas hsa_piR_000577 is represented by only six copies in the genome (http://pirnabank.ibab.ac.in/). These findings could support the claim that the piRNAs are in the same cluster, but this would require further analysis since members of small RNA clusters can also be regulated individually (104, 105).
4.4 Circulating exosomal small RNAs are associated with immune processes during decidualization, implantation and throughout pregnancy
An important aspect of validation is the analysis of the potential target genes of the small RNA hits. At first, we treated miRNAs and piRNAs separately, considering any change in expression, regardless of its direction (Figure 3). When analyzing the GO classifications, the identified miRNA targets were particularly enriched in genes associated with decidualization (Supplementary Table 1), some of which have already been implicated in placental disorders. Among them, cyclooxygenase-2 (COX-2, also known as PTGS2) is up-regulated in the first trimester in healthy pregnancies and its deficiency leads to the loss of implantation and decidualization, as well as to PE or to preterm birth (106, 107). Prostacyclin, an end product of COX-2, is formed during inflammation and is a key target of non-steroidal anti-inflammatory drugs such as aspirin, the most widely used preventive treatment to reduce the incidence of the most severe preterm PE subtype (108–112). Stanniocalcin-1 (STC-1) is a pleiotropic hormone that is important for maintaining female reproductive health and shows a sharp placental expression peak in mid-gestation (113), and its increased mRNA level has been detected in pregnancy complications such as PE or gestational diabetes mellitus (114, 115). Another important target gene is the transmembrane protein connexin-43 (GJA-1), which is vital for direct intracellular communication and also in placental development and trophoblast differentiation by supporting appropriate vasculature in the placental bed, and its dysregulation has been suggested to have a potential role in the development of PE (116, 117).
4.5 Differentially expressed piRNAs may regulate nitrative and oxidative stress responses in PE
The top GO category for mRNA targets of differentially expressed piRNAs was ‘cellular response to reactive nitrogen species’. Abnormal trophoblast invasion into the uterine spiral arteries leads to increased ischemia and pro-inflammatory changes in the placenta, resulting in oxidative and nitrative stress and leading to the accumulation of nitrotyrosine, a potential biomarker associated with PE and IUGR (118). mRNA hits from our analysis revealed key players in the oxidative and nitrative stress responses. These include the CASP8 and FADD Like Apoptosis Regulator (CFLAR), an essential activator of the extrinsic pathway of apoptosis (119), and the PPARG Coactivator 1 Alpha (PPARGC1A), a master regulator of mitochondrial biogenesis and antioxidant defense (120), with decreased protein levels in the placenta in PE, especially in cases associated with IUGR (121). In addition, we also identified the Methionine synthase (MTR) gene which had an increased expression in PE and is clearly associated with the compensation of methionine-homocysteine metabolism caused by oxidative stress in this obstetrical syndrome (122, 123).
4.6 Exosomal small RNAs are involved in additional vascular and immunological processes
In a subsequent analysis, we grouped the mRNA targets based on either upregulation or downregulation of the small RNA hits (treating miRNAs and piRNAs together, Figure 4). Here, the GO categories are enriched in decidualization, placental development, and embryo implantation, and the top target genes show a high overlap with the previous analysis above, including COX2, GJA1 and STC1. In addition, however, we found three members of the calcineurin-NFAT signaling cascade and inositol-phosphate-mediated signaling pathways that play central roles in different aspects of appropriate immune responses such as T-cell activated adaptive immune response (124) and in B cell immunity (125). The identified targets are the ATPase plasma membrane Ca2+ transporter (ATP2B4, also known as PMCA4), the Protein Phosphatase 3 Regulatory Subunit B Alpha (PPP3R1, also known as CNB1), and the Homer Scaffold Protein 2 (HOMER2), all of which are involved in T-cell regulation (126–128). Moreover, in relation to pregnancy disorders, ATP2B4 had decreased mRNA and protein levels in syncytiotrophoblasts cultured from preeclamptic placental tissue (129), whereas PPP3R1 mRNA levels were increased in PE-associated placentas (130).
Finally, we could identify gene hits from the GO category of the ‘blood vessel endothelial cell migration’ pathway: these included the already-found ATP2B4 and COX2 genes, but also Neurofibromin1 (NF1), a gene mutated in neurofibromatosis 1 patients, who have a higher risk of developing PE and IUGR (131). The correlation of the identified GO categories and target genes with the examined PE disease subtype supports the relevance of the identified small RNA species in the circulating exosomes. However, further studies are needed to investigate whether these exosomal miRNAs and piRNAs can in fact reach relevant tissues (e.g. placenta, endothelial cells, or even embryo-derived cells) and whether the revealed target mRNAs are regulated by these delivered small RNAs in the specific cell types.
5 Summary and conclusion
Through comparative analysis of normal and preterm PE pregnancies, we could identify several exosomal miRNAs and piRNAs as potential early biomarkers for this severe PE subtype. Due to the strict selection criteria, we could analyze a relatively small number of cases but the stringent bioinformatic analysis and GO classification results validated our rigorous approach and showed a clear connection between these RNA expression levels and placental dysfunction in PE. Although the samples examined represent the first trimester of pregnancy when the placenta is not yet fully developed, the importance and clear advantage is that the small RNA profiles revealed may still indicate the early steps of the pathogenesis at a time when the clinical symptoms of PE cannot yet be detected using the currently accepted medical examinations. However, the identified small RNAs, especially the most promising hsa_piR_016658, would still require further validation in a larger number of patients. In addition, our approach to exosomal isolation and analysis may be problematic if the available blood sample volumes are limited; from this aspect, specific qPCR analysis directly on blood samples may be more practical, or the analysis of other body fluids (such as urine samples) could be considered. On the other hand, future studies should also focus on the target genes of the recently identified small RNAs and the applicability of other small RNA subtypes, such as Y-RNAs or tRNA species, which could also be detected in our sequencing analysis but their detailed analysis was beyond the scope of our current study.
In conclusion, our rigorously designed study yielded meaningful results from a small but homogeneous patient group. The differentially expressed small RNAs in circulating maternal exosomes act on physiological pathways involved in normal decidualization, placentation, maternal-fetal immune interactions, and fetal development, all of which are disrupted in preterm PE associated with IUGR. Therefore, our small RNA hits are not only suitable biomarker candidates for future investigations, but the revealed biological pathways may also inform us about the complex pathology during the development of this very severe subtype of PE. Furthermore, the small RNA species identified, together with their potential targets could contribute to the development of new treatment possibilities, especially for women in the early stages of pregnancy.
Data availability statement
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: GSE241815 (GEO).
Ethics statement
Clinical samples and data collection were approved by the Health Science Board of Hungary (ETT-TUKEB 4834-0/2011-1018EKU). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study. Specimens and data were stored anonymously.
Author contributions
LG: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing. ÁF: Data curation, Investigation, Methodology, Software, Writing – review & editing. GO: Methodology, Resources, Writing – review & editing. SN: Methodology, Resources, Writing – review & editing. NGT: Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Supervision, Validation, Writing – review & editing. TIO: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Supervision, Validation, Writing – original draft, Writing – review & editing.
Funding
The author(s) declare financial support was received for the research, authorship, and/or publication of this article. Our research was supported by the grants PC-II-12/2022 and Momentum LP2014-7/2014 of the Hungarian Academy of Sciences, and by the grants ELKH-POC-2022-014 and 2018-1.2.1-NKP-2018-00005. This project was carried out within the Cooperative Doctoral Programme and the New National Excellence Programme and was supported by the Ministry of Innovation and Technology of Hungary from the National Research, Development and Innovation Fund, financed under Research Project Codes C1012947 and ÚNKP-20-3-I-ELTE-473, respectively, as well as by the FIEK-16-1-2016-0005, the OTKA-K124862 and the 2019-2.1.7-ERANET-2020-00014 funding schemes, the latter within the framework of the European Union ERA PerMed (grant 2020-346).
Acknowledgments
The authors thank Irén Horváth (Petz Aladár County Teaching Hospital, Győr, Hungary) and Szilvia Nagy (University of Debrecen, Debrecen, Hungary) for sample collection. We are also thankful to Kornélia Némethy, Judit Baunoch, and Andor Jelinek for technical assistance in biobanking and sample processing, Andrea Papp-Balogh and Péter Gál for scientific advice, and Dániel Győrffy for statistical advice (all at the HUN-REN Research Centre for Natural Sciences, Budapest, Hungary).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
The reviewer BN declared a shared affiliation with the author GO to the handling editor at the time of the review.
The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fimmu.2024.1321191/full#supplementary-material
Supplementary Figure 1 | Correlation between gestational weeks at sampling time and exosomal small RNA expression measured by qPCR for (A) hsa_piR_016658, p-value=0.051, and (B) hsa-miR-122-5p, p-value=0.122, for PE (n=6, red) and control (n=14, blue) samples.
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Keywords: biomarker, piRNA, miRNA, exosome, pregnancy, decidualization, early diagnosis, liquid biopsy
Citation: Gál L, Fóthi Á, Orosz G, Nagy S, Than NG and Orbán TI (2024) Exosomal small RNA profiling in first-trimester maternal blood explores early molecular pathways of preterm preeclampsia. Front. Immunol. 15:1321191. doi: 10.3389/fimmu.2024.1321191
Received: 13 October 2023; Accepted: 25 January 2024;
Published: 22 February 2024.
Edited by:
Ting Xiong, Huazhong University of Science and Technology, ChinaReviewed by:
Balint Nagy, University of Debrecen, HungarySurendra Sharma, University of Texas Medical Branch at Galveston, United States
Martin Mueller, University Hospital Bern, Switzerland
Copyright © 2024 Gál, Fóthi, Orosz, Nagy, Than and Orbán. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Tamás I. Orbán, orban.tamas@ttk.hu; orbant@biomembrane.hu