The authors have declared that no competing interests exist.
Conceived and designed the experiments: XH HL BX. Performed the experiments: XH YH X. Zeng WD SX QH. Analyzed the data: JZ QC YY. Contributed reagents/materials/analysis tools: X. Zhou HH CW. Wrote the manuscript: XH HL. Sequence analysis: XH YH.
Long non-coding RNAs (lncRNAs) are an important class of pervasive genes involved in a variety of biological functions. They are aberrantly expressed in many types of diseases. In this study, we aimed to investigate the lncRNA profiles in preeclampsia. Preeclampsia has been observed in patients with molar pregnancy where a fetus is absent, which demonstrate that the placenta is sufficient to cause this condition. Thus, we analyzed the lncRNA profiles in preeclampsia placentas.
In this study, we described the lncRNA profiles in six preeclampsia placentas (T) and five normal pregnancy placentas (N) using microarray. With abundant and varied probes accounting for 33,045 LncRNAs in our microarray, 28,443 lncRNAs that were expressed at a specific level were detected. From the data, we found 738 lncRNAs that were differentially expressed (≥1.5-fold-change) among preeclampsia placentas compared with controls. Coding-non-coding gene co-expression networks (CNC network) were constructed based on the correlation analysis between the differentially expressed lncRNAs and mRNAs. According to the CNC network and GO analysis of differentially expressed lncRNAs/mRNAs, we selected three lncRNAs to analyze the relationship between lncRNAs and preeclampsia. LOC391533, LOC284100, and CEACAMP8 were evaluated using qPCR in 40 preeclampsia placentas and 40 controls. These results revealed that three lncRNAs were aberrantly expressed in preeclampsia placentas compared with controls.
Our study is the first study to determine the genome-wide lncRNAs expression patterns in preeclampsia placenta using microarray. These results revealed that clusters of lncRNAs were aberrantly expressed in preeclampsia placenta compared with controls, which indicated that lncRNAs differentially expressed in preeclampsia placenta might play a partial or key role in preeclampsia development. Misregulation of LOC391533, LOC284100, and CEACAMP8 might contribute to the mechanism underlying preeclampsia. Taken together, this study may provide potential targets for the future treatment of preeclampsia and novel insights into preeclampsia biology.
Preeclampsia is characterized by hypertension and de novo proteinuria after 20 weeks of pregnancy. It is the leading cause of perinatal morbidity and mortality worldwide, and to date, the only means of treating this disease is by inducing delivery. Preeclampsia affects 3-5% of all pregnancies and is estimated to result in 60,000 maternal deaths annually worldwide [
The origin of the disease is the placenta, but its sequelae affects multiple organ systems. Endothelial dysfunction is the common denominator of the clinical symptoms. This theory may also underlie the origins of hypertension, proteinuria, edema and other symptoms as well [
Recently, genetic studies have focused on non-coding RNAs. These abundant transcriptomes are regarded as “transcriptional noise.” However, over the past decade, many studies have reported that these non-coding RNAs have a series of important regulatory potential both in transcription and post transcription [
In this study, we examined the lncRNA expression profiles of six cases of preeclampsia placenta compared with five-matched control samples, where several of the differentially expressed lncRNAs were evaluated using qPCR in a total of eighty placenta tissues. Our results demonstrated that lncRNA expression profiles may provide new molecular biomarkers or a new basis for the diagnosis and treatment of preeclampsia.
Based on the lncRNAs expression profiles (
NR_027457 (Log2 Fold change T/N=4.8407316) was the most significantly up-regulated lncRNA while G36948 (Log2 Fold change T/N= -4.713349) was the most significantly down-regulated lncRNA (
up-regulated |
down-regulated |
||
---|---|---|---|
lncRNAs | Log2 Fold change (T/N) | LncRNAs | Log2 Fold change (T/N) |
NR_027457 | 4.8407316 | G36948 | -4.713349 |
NR_024178 | 3.7026873 | NR_029420 | -3.944745 |
ENST00000508010 | 3.6478987 | ENST00000462801 | -3.5958498 |
nc-HOXD4-22- | 3.6392443 | ENST00000420346 | -3.4068155 |
BC030099 | 3.1557207 | uc001yen.1 | -3.3312943 |
AF037219 | 3.0707293 | ENST00000452363 | -3.1808643 |
ENST00000426615 | 3.0671024 | ENST00000514942 | -3.1543686 |
uc001xoi.1 | 3.0389638 | NR_024015 | -3.0237393 |
uc002 µkl.1 | 3.0248022 | AK002210 | -3.022271 |
AF085938 | 2.9179204 | NR_026643 | -2.9749532 |
ENST00000453697 | 2.8973458 | AL049277 | -2.8766768 |
G43016 | 2.8749487 | ENST00000443801 | -2.8124766 |
ENST00000504200 | 2.7703688 | CR619533 | -2.7963133 |
AK055151 | 2.7125444 | chr5:32328662-32332385+ | -2.7114208 |
uc002ckp.1 | 2.6354249 | nc-HOXC10-127+ | -2.701504 |
NR_026824 | 2.624768 | ENST00000416513 | -2.68905 |
ENST00000508921 | 2.6117814 | NR_027435 | -2.6723933 |
ENST00000507681 | 2.5811958 | ENST00000402635 | -2.653753 |
CR591190 | 2.57254 | AY034469 | -2.6396053 |
ENST00000441562 | 2.5398467 | ENST00000453648 | -2.634475 |
Up to 18,063 coding transcripts could be detected in the placenta samples using 30,215 coding transcript probes (
The coding-non-coding gene co-expression network (CNC network) was constructed based on the correlation analysis between differentially expressed lncRNAs and mRNAs. LncRNAs and mRNAs with Pearson correlation coefficients above 0.95 were selected for the network using the cytoscape program. Among the co-expression network, 68 lncRNAs and 73 mRNAs comprise the CNC network node. In addition, 141 network nodes were associated with 555 network pairs of co-expressing lncRNAs and mRNAs, and most of these pairs were presented as a positive correlation. The CNC networks indicated that one mRNA was correlated with one to ten lncRNAs (
In figure, the circular nodes represent the mRNA, V on behalf of lncRNA. The solid lines represent a positive correlation, and the dashed lines indicate a negative correlation. The same color nodes represent co-expressed genes with a similar capacity chart. The node size indicates that the expression of the gene, and the lines represent the gene co-expression relationship of the gene. K-core indicates the gene expression.
According to the GO-Pathway analysis of differentially expressed lncRNAs/mRNAs (
According to the CNC network and the GO analysis of LncRNA/mRNA expression profiling, we examined the expression of three lncRNAs (LOC391533, LOC284100, CEACAMP8) in 40 preeclampsia placenta tissues and 40-matched control placenta tissues using qPCR (p<0.05 for each lncRNAs). These data indicated that LOC391533, LOC284100, and CEACAMP8 were up-regulated in preeclampsia samples compared with NT samples (
Three lncRNAs were confirmed using qPCR in 40 preeclampsia placenta and 40 control placenta samples (p<0.05 for each lncRNAs). The bars indicate the standard deviation.
Preeclampsia is a systemic complication of pregnancy, which presents with hypertension, proteinuria and pathologic edema. Its laboratory results consist of elevated uric acid levels, hypoproteinemia, hyperlipidemia, and serum transaminase concentrations that are at least two-fold greater than normal samples. To date, the only means of treating this disease is the induction of delivery; thus, the placenta is the origin of this disease.
The pathogenic mechanisms underlying preeclampsia remain to be elucidated. However, immune maladaptation, inadequate placental development and trophoblast invasion, placental ischemia, oxidative stress and thrombosis are all thought to represent key factors in the development of the disease. Furthermore, these components have genetic factors that may be involved in these pathogenic changes [
Previously, there have been no reports describing the expression profiles of lncRNAs in preeclampsia and there have been no studies on the association of lncRNA expression with the clinical characteristics and outcomes of preeclampsia. We analyzed six preeclampsia and five normal pregnancy placentas using microarray. We selected three lncRNAs for validation using qPCR in 80 samples. Using abundant and varied probes accounting for 33,045 lncRNAs and 30,215 coding transcripts in the microarray, a large number of lncRNAs may be quantitatively determined. Comprehensive in-depth analysis of the expression profiles of lncRNAs in preeclampsia was performed to investigate the role of lncRNAs in the development and progression of preeclampsia. Based on microarray data, we found that 28,443 lncRNAs were expressed, while 738 lncRNAs were differently expressed. Moreover, 259 lncRNAs were up-regulated and 479 lncRNAs were down-regulated, most of which have not been functionally characterized. These findings may likely provide a potential strategy to distinguish between preeclampsia placenta tissue and normal placenta tissue. Although noncoding RNAs in body fluid, such as serum and urine, have been identified as potential biomarkers [
Based on the CNC network and the GO analysis of differentially expressed lncRNAs/mRNAs, three lncRNAs (LOC391533, LOC284100, CEACAMP8) were selected to validate its consistency. The expression of these three lncRNAs was further evaluated using qPCR in 80 placenta samples. LncRNA LOC391533 is a 1,434 bp intragenic lncRNA transcript from the LOC391533 gene located on Chromosome 3p21.31. This gene is fms-like tyrosine kinase 1 pseudogene 1 (FLT1P1) (
LncRNA LOC284100 is a 41,791 bp intragenic lncRNA transcript from the LOC284100 gene located on Chromosome 17q12. LOC284100 is tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein, epsilon polypeptide pseudogene. In addition, lncRNA CEACAMP8 is a 901 bp intragenic lncRNA transcribed from the CEACAMP8 gene located on Chromosome19q13.2. CEACAMP8 is carcinoembryonic antigen-related cell adhesion molecule pseudogene 8. The biological functions of these two LncRNAs remain unclear, although they both have a close relationship with mRNA LPL and lncRNA LOC391533 in the CNC network. LPL plays an important role in hyperlipidemia, and hyperlipidemia is a common complication of preeclampsia. In this study, the qPCR results demonstrated that the three LncRNAs were up-regulated in preeclampsia samples compared with control samples. We proposed that the three lncRNAs may play a role in the development and progression of preeclampsia by interacting with Flt-1 and LPL or contribute to other gene regulation. Additional studies are required to determine how these lncRNAs are involved in the transcriptional and post-transcriptional regulation of related genes in preeclampsia.
To the best of our knowledge, this is the first study to describe the expression profiles of human lncRNAs in preeclampsia using microarray. We found a collection of deregulated lncRNAs that were aberrantly expressed in the preeclampsia compared to the control group. Most likely, these three deregulated lncRNAs play a key or partial role in the development and progression of preeclampsia. Thus, additional studies are required to determine whether these lncRNAs can serve as new therapeutic targets and diagnostic biomarkers in preeclampsia.
Written informed consent was obtained from all patients, and the study was approved by the Institutional Review Board of Jiangxi Maternal and Child Health Hospital. Forty preeclampsia placenta patients and forty control patients who received a caesarean section were included in the study. Of these patients, six with preeclampsia and five matched controls were used for microarray analysis of lncRNAs, and all patients were used for an extra evaluation. Preeclampsia was clinically diagnosed. The placenta tissue from each subject was snap-frozen in liquid nitrogen immediately after resection. Detailed information of all cases in the study is summarized in
Total RNA was extracted from eighty snap-frozen placenta tissue using TRIzol reagent (Invitrogen, Carlsbad, CA, USA) according to the manufacturer’s protocol. The RNA integrity was evaluated using the Nano Drop ND-1000 spectrophotometer.
RNA purified from total RNA after the removal of rRNA was amplified and transcribed into fluorescent cRNA along the entire length of the transcripts without 3’ bias using a random priming method. The cDNA was labeled and hybridized to the Human LncRNA Array v2.0 (8×60 K, Arraystar). In addition, 33,045 LncRNAs and 30,215 coding transcripts collected from the most authoritative databases, such as RefSeq, UCSC Knowngenes, Ensembl and many related literatures, were detected using microarray. The criteria were as follows: fold-change cut-off: 1.5, fold-change: positive value indicates up-regulation and negative value indicates down-regulation. Log fold-change means a log2 value of the absolute fold-change. The fold-change and p-value are calculated from the normalized expression. Arraystar LncRNA Array Protocol: Step 1, Prepare the RNA Sample, kit and reagents: TRIzol Reagent (Invitrogen life technologies), Biopulverizer (biospec), and Mini-Bead-Beater-16(biospec); Step 2, Total RNA Clean-up and RNA QC; Step 3, Prepare labeling reaction; Step 4, Purify the labeled/amplified RNA and labeled cRNA QC; Step 5, Hybridization; Step 6, Microarray Wash; Step 7, Scanning; and Step 8, Extract data using Agilent Feature Extraction Software. The arrays were scanned using the Agilent Scanner G2505B, and the acquired array images were analyzed using Agilent Feature Extraction software (version 11.0.1.1). Quantile normalization and subsequent data processing were performed using the GeneSpring GX v11.5.1 software package (Agilent Technologies). The microarray work was performed by Kang Chen Bio-tech, Shanghai P.R. China. The microarray data discussed in this paper have been deposited in NCBI Gene Expression Omnibus and are accessible with the GEO Series accession number GSE50783 (
The network construction procedures included: (i) preprocessed data: the same coding gene with different transcripts of the median value represent the gene expression values, without specific treatment of the lncRNA expression value; (ii) screen data: remove the subset of data according to the lists that show the differential expression of lncRNA and mRNA; (iii) calculate the Pearson correlation coefficient and use the R-value to calculate the correlation coefficient of PCC between the lncRNA coding genes; and (iv) screen using Pearson correlation coefficient, which was selected when PCC≥0.99 as meaningful and draw the NCN network using cytoscape.
The circular nodes represent the mRNA, V, on behalf of the lncRNA. The solid lines represent a positive correlation, and the dashed lines indicate a negative correlation. The same color nodes represent co-expressed genes with a similar capacity chart. The node size indicates that the gene expression, where nodes with more expressed gene co-expression have a more extensive relationship with the gene. The K-core indicates the gene expression. Detail information is presented in
Total RNA was extracted from frozen placenta specimens using TRIzol reagent (Invitrogen Life Technologies) and then reverse transcribed using the Fermentas RT reagent Kit (Perfect Real Time) according to the manufacturer’s instructions. LncRNA expression in placenta tissues was measured using qPCR and SYBR Premix Ex Taq on the MX3000 instrument. The primers used in this study are shown in
(XLS)
(XLS)
(RAR)
(XLS)
(RAR)
(XLS)
(XLS)
(XLS)
(XLS)