Abstract

In pregnancy, resistance of endometrial decidual cells to stress signals is critical for the integrity of the fetomaternal interface and, by extension, survival of the conceptus. O-GlcNAcylation is an essential posttranslational modification that links glucose sensing to cellular stress resistance. Unexpectedly, decidualization of primary endometrial stromal cells (EnSCs) was associated with a 60% reduction in O-linked β-N-acetylglucosamine (O-GlcNAc)‒modified proteins, reflecting downregulation of the enzyme that adds O-GlcNAc to substrates (O-GlcNAc transferase; OGT) but not the enzyme that removes the modification (O-GlcNAcase). Notably, epidermal growth factor domain–specific O-linked GlcNAc transferase (EOGT), an endoplasmic reticulum-specific OGT that modifies a limited number of secreted and membrane proteins, was markedly induced in differentiating EnSCs. Knockdown of EOGT perturbed a network of decidual genes involved in multiple cellular functions. The most downregulated gene upon EOGT knockdown in decidualizing cells was the energy homeostasis–associated gene (ENHO), which encodes adropin, a metabolic hormone involved in energy homeostasis and glucose and fatty acid metabolism. Analysis of midluteal endometrial biopsies revealed an inverse correlation between endometrial EOGT and ENHO expression and body mass index. Taken together, our findings revealed that obesity impairs the EOGT-adropin axis in decidual cells, which in turn points toward a mechanistic link between metabolic disorders and adverse pregnancy outcome.

During the midluteal phase of the menstrual cycle, the endometrium becomes transiently poised to transit from a cycling into a semipermanent tissue that is maintained throughout pregnancy (1). During this window, the luminal endometrial epithelial cells acquire a receptive phenotype, and the underlying stromal cells start to differentiate into secretory decidual cells. After breaching of the luminal epithelium, migratory decidual cells rapidly encapsulate the implanting embryo (2) and form a nutritive and immune-privileged matrix that enables trophoblast invasion and placenta formation (3). Once the process of interstitial and endovascular trophoblast invasion begins, the placental-maternal interface is intensely remodeled and exposed to profound fluctuations in oxygen tension associated with changes to the vascular tree (1, 4). Decidual cells are programmed to resist a range of stressors, thus ensuring integrity of the interface and survival of the conceptus. Several molecular mechanisms underpin this quasi-autonomous state of decidual cells, including silencing of circadian gene expression (5), inhibition of stress pathways such as c-Jun N-terminal kinase (4, 6), attenuated inositol trisphosphate signaling (7), global cellular hypoSUMOylation (8), resistance to microRNA-mediated gene silencing through loss of argonaute proteins (9), and marked upregulation of free radical scavengers (10).

Posttranslational modification of proteins with O-linked β-N-acetylglucosamine (O-GlcNAc) is an integral component of the cellular stress response (11, 12). O-GlcNAcylation refers to the covalent addition of a GlcNAc sugar moiety to hydroxyl groups of serine and/or threonine residues of cytosolic, nuclear, and mitochondrial proteins. The O-GlcNAc transferase (OGT) transfers the O-GlcNAc moiety from uridine diphosphate (UDP)–GlcNAc to target proteins, whereas O-GlcNAcase (OGA) removes O-GlcNAc from proteins. UDP-GlcNAc is an end product of the nutrient-dependent hexosamine biosynthetic pathway (HBP), a branch pathway in glycolysis. Increased glucose flux through the HBP elevates UDP-GlcNAc and drives increased cellular O-GlcNAcylation (13, 14). OGT targets in excess of 3000 proteins (15), enabling it to regulate multiple processes, including signal transduction and transcription, in a manner akin to—and cooperative with—protein phosphorylation (11, 16). Of note, increased O-GlcNAcylation is important for cell survival in response to a variety of stressors, including osmotic (12, 17), oxidative (18), genotoxic (12, 19, 20), endoplasmic reticulum (ER) (21), and hypoxia/reoxygenation stress (21, 22).

In addition to OGT, a second enzyme has been identified that catalyzes the transfer of GlcNAc from UDP-GlcNAc to epidermal growth factor (EGF) repeats of extracellular proteins (23, 24). By contrast to OGT, this glycosyltransferase, termed EGF domain–specific O-linked GlcNAc transferase (EOGT), resides in the ER and targets seemingly only a very limited number of secreted and membrane receptors, including Notch receptors (25–27).

In this study, we examined the expression of OGT, OGA, and EOGT upon decidual transformation of primary endometrial stromal cell (EnSCs). Although increased O-GlcNAcylation has been implicated in stress resistance, decidualization was associated with a marked reduction in O-GlcNAc‒modified proteins, reflecting downregulation of OGT but not OGA. However, EOGT expression in differentiating EnSCs was increased. Although the EOGT target proteins in decidual cells remain to be determined, we demonstrated that EOGT knockdown perturbs the expression of numerous genes, most prominently energy homeostasis–associated gene (ENHO), which encodes the newly discovered metabolic hormone adropin, which regulates lipid metabolism, confers insulin sensitivity, and protects against vascular disease (28, 29). Finally, we demonstrated that obesity, a major risk factor for reproductive failure, is associated with lower midluteal endometrial EOGT and adropin expression.

Methods

Patient selection and endometrial sampling

The study was approved by the National Health Service National Research Ethics – Hammersmith, Queen Charlotte’s & Chelsea Research Ethics Committee (1997/5065). Endometrial samples were obtained during the luteal phase of an ovulatory, nonhormonally stimulated menstrual cycle using a Wallach EndocellTM sampler, starting from the uterine fundus and moving downward to the internal cervical ostium. Written informed consent was obtained from all participants in accordance with the guidelines in The Declaration of Helsinki 2000. A total of 193 biopsies were used in this study, including 24 fresh endometrial biopsies processed for primary culture. In addition, 112 biopsies stored in RNAlater (Sigma-Aldrich) were used to measure messenger RNA (mRNA) expression, and a further 57 snap-frozen and formalin-fixed biopsies were used for Western blot analysis and immunohistochemistry, respectively. All endometrial biopsies were timed between 6 and 10 days after the preovulatory luteinizing hormone (LH) surge. Demographic details are summarized in Supplemental Table 1. None of the subjects had received hormonal treatment for at least 3 months before the procedure.

Primary cell culture

EnSCs were isolated and established from endometrial tissues as described previously (30). Confluent EnSC monolayers were decidualized in Dulbecco’s modified Eagle medium /F-12 containing 2% dextran-coated charcoal‒fetal bovine serum with 0.5 mM 8-bromo-cyclic adenosine monophosphate (cAMP; Sigma-Aldrich) and 10−6 M medroxyprogesterone acetate (MPA; Sigma-Aldrich) to induce a differentiated phenotype. Culture medium was refreshed every 48 hours. All experiments were carried out before the third cell passage.

Transient transfections

Primary EnSCs were transfected with small interfering RNA (siRNA) using the jetPRIME Polyplus transfection kit (VWR International). Undifferentiated EnSCs were transiently transfected with 50 nM EOGT-siGENOME SMARTpool or siGENOME Non-Targeting siRNA Pool 1 (GE Healthcare). Transfection studies were performed in triplicate and repeated on primary cultures from four subjects.

Real-time quantitative polymerase chain reaction

Total RNA was extracted from EnSC cultures using RNA STAT-60 (AMS Biotechnology). Equal amounts of total RNA were treated with DNase and reverse transcribed using the QuantiTect Reverse Transcription Kit (QIAGEN), with the resulting complementary DNA used as a template in real-time quantitative polymerase chain reaction (qRT-PCR) analysis. Detection of gene expression was performed with Power SYBR® Green Master Mix (Life Technologies) and the 7500 Real Time PCR System (Applied Biosystems). The expression levels of the samples were calculated using the Δ cycle threshold method, incorporating the efficiencies of each primer pair. The variances of input complementary DNA were normalized against the levels of the L19 housekeeping gene. All measurements were performed in triplicate. Melting curve analysis confirmed product specificity.

Western blot analysis

Protein extracts were prepared by lysing cells in RIPA buffer containing protease inhibitors (cOmplete, Mini, EDTA-free; Roche). Protein yield was quantified using the Bio-Rad Protein Assay Dye Reagent Concentrate. Equal amounts of protein were separated by sodium dodecyl sulfate–polyacrylamide gel electrophoresis before wet-transfer onto nitrocellulose membrane. Global O-GlcNAcylation was determined by spotting 10 μg and 2 μg of total protein lysate directly onto nitrocellulose membranes. Nonspecific binding sites were blocked by overnight incubation with 5% nonfat dry milk in Tris-buffered saline with 1% Tween (TBS-T; 130 mmol/L NaCl, 20 mmol/L Tris, pH 7.6, and 1% Tween). The antibodies used in this study are listed in Table 1. Protein complexes were visualized with ECL Plus chemiluminescence. Densitometry was performed using Gene Tools software.

Table 1.

Primary Antibodies Used Throughout the Study

Protein TargetManufacturer, Catalog No.DilutionRRID
OGTCell Signaling Technology, 24083WB 1:1000AB_2716710
OGASigma-Aldrich, SAB4200267WB 1:500AB_10797267
EOGTSigma-Aldrich, HPA019460WB 1:500; IHC 1:500AB_1844628
O-GlcNAc (CTD110.6)Sigma-Aldrich, O7764WB 1:500AB_1079524
NOTCH1Cell Signaling Technology, 3608WB 1:1000AB_10691684
NOTCH3Cell Signaling Technology, 5276WB 1:1000AB_10560515
AdropinAbcam, ab122800WB 1:500; IHC 1:300AB_11132112
β-ActinAbcam, ab8227WB 1:50000AB_2305186
Protein TargetManufacturer, Catalog No.DilutionRRID
OGTCell Signaling Technology, 24083WB 1:1000AB_2716710
OGASigma-Aldrich, SAB4200267WB 1:500AB_10797267
EOGTSigma-Aldrich, HPA019460WB 1:500; IHC 1:500AB_1844628
O-GlcNAc (CTD110.6)Sigma-Aldrich, O7764WB 1:500AB_1079524
NOTCH1Cell Signaling Technology, 3608WB 1:1000AB_10691684
NOTCH3Cell Signaling Technology, 5276WB 1:1000AB_10560515
AdropinAbcam, ab122800WB 1:500; IHC 1:300AB_11132112
β-ActinAbcam, ab8227WB 1:50000AB_2305186

Abbreviations: IHC, immunohistochemistry; RRID, Research Resource Identifier; WB, Western blot.

Table 1.

Primary Antibodies Used Throughout the Study

Protein TargetManufacturer, Catalog No.DilutionRRID
OGTCell Signaling Technology, 24083WB 1:1000AB_2716710
OGASigma-Aldrich, SAB4200267WB 1:500AB_10797267
EOGTSigma-Aldrich, HPA019460WB 1:500; IHC 1:500AB_1844628
O-GlcNAc (CTD110.6)Sigma-Aldrich, O7764WB 1:500AB_1079524
NOTCH1Cell Signaling Technology, 3608WB 1:1000AB_10691684
NOTCH3Cell Signaling Technology, 5276WB 1:1000AB_10560515
AdropinAbcam, ab122800WB 1:500; IHC 1:300AB_11132112
β-ActinAbcam, ab8227WB 1:50000AB_2305186
Protein TargetManufacturer, Catalog No.DilutionRRID
OGTCell Signaling Technology, 24083WB 1:1000AB_2716710
OGASigma-Aldrich, SAB4200267WB 1:500AB_10797267
EOGTSigma-Aldrich, HPA019460WB 1:500; IHC 1:500AB_1844628
O-GlcNAc (CTD110.6)Sigma-Aldrich, O7764WB 1:500AB_1079524
NOTCH1Cell Signaling Technology, 3608WB 1:1000AB_10691684
NOTCH3Cell Signaling Technology, 5276WB 1:1000AB_10560515
AdropinAbcam, ab122800WB 1:500; IHC 1:300AB_11132112
β-ActinAbcam, ab8227WB 1:50000AB_2305186

Abbreviations: IHC, immunohistochemistry; RRID, Research Resource Identifier; WB, Western blot.

Immunohistochemistry

Paraffin-embedded, formalin-fixed endometrial specimens were immunostained for EOGT using the Novolink polymer detection systems (Leica) per manufacturer’s instructions. Universal LSAB Plus kits (DAKO) were used as previously described (31) with primary antibodies against EOGT (1:500 dilution) and ENHO (1:200 dilution). Bright-field images were obtained on a Mirax Midi slide scanner and visualized using Pannoramic Viewer software for analysis.

RNA sequencing and data analysis

Total RNA was extracted using RNA-STAT-60 from primary EnSC cultures first transfected with either EOGT or nontargeting (NT) siRNA and then decidualized with 8-br-cAMP and MPA for 4 days. Three biological repeats were performed to allow for interpatient variability. RNA quality was analyzed on an Agilent 2100 Bioanalyzer. RNA integrity number score for all samples was ≥8.0. Transcriptomic maps of paired-end reads were generated using Bowtie-2.2.3, SAMtools 0.1.19, and TopHat 2.0.12 against the University of California, Santa Cruz, hg19 reference transcriptome (2014) from the Illumina iGenomes resource using the fr-firststrand setting. Transcript counts were assessed by HTSeq-0.6.1. Transcripts per million were calculated as recently described (32). Differential gene expression analysis was performed using DEseq2-1.14.1. Significance was defined as an adjusted P value (q value) of <0.05 after Benjamini-Hochberg false discovery rate correction. Expression data have been submitted to the Gene Expression Omnibus (GEO) repository (accession number: GSE104720). Gene Ontology (GO) analyses were carried out using DAVID Bioinformatics Resources 6.8 (33, 34) and visualized using REVIGO online software (35). GO Term Gene Set Enrichment Analysis (GSEA) was performed using piano R package (36). Briefly, GO ID was extracted for each Ensembl gene ID using biomaRt package in R (37). Gene ID and GO ID were loaded into correct format using the load GSC function, and GSEA was performed using the runGSA function. Genes were ranked according to the adjusted P value, and log2-fold change was used to determine upregulated or downregulated transcripts.

Statistical analysis

In vitro experiments were analyzed with the statistical package Graphpad Prism 6. Unpaired Student t test and one-way analysis of variance with Tukey post hoc test were used when appropriate. The association between EOGT and ENHO mRNA in endometrial biopsies and body mass index (BMI) was analyzed using Pearson rank correlation. Statistical significance was assumed when P < 0.05.

Results

Loss of OGT-dependent O-GlcNAcylation in decidualizing EnSCs

O-GlcNAcylation of target proteins is enhanced in response to diverse stress signals and tissue injury (15). To test whether O-GlcNAcylation plays a role in decidualization, primary EnSCs were decidualized with 8-br-cAMP and MPA for 2, 4, or 8 days, and the expression of O-GlcNAc‒processing enzymes, OGT, EOGT, and OGA, were examined at both mRNA and protein levels. Analysis of four independent primary cultures demonstrated that decidualization resulted in downregulation of the canonical O-GlcNAc transferase OGT at both mRNA and protein levels (Fig. 1A and 1B), whereas expression of OGA (encoded by MGEA5) was unchanged. In contrast to OGT, expression of EOGT increased significantly upon decidualization. In fact, induction of EOGT was more marked at the protein than the mRNA level, with levels increasing approximately fivefold after 8 days of decidualization (Fig. 1A and 1B). Densitometric analyses of Western blots are shown in Supplemental Fig. 1.

Regulation of O-GlcNAcylation in decidualizing EnSCs. (A) OGT, OGA, and EOGT transcript levels were measured in undifferentiated EnSCs, and cells were decidualized with 8-br-cAMP and MPA for 2, 4, or 8 days. Expression was normalized to L19 mRNA levels, and the data show mean ± standard error of the mean relative to that in undifferentiated cells in four independent primary cultures. Different letters above the error bars indicate that groups are significantly different from each other at P < 0.05. Group comparison by analysis of variance (ANOVA) and Tukey post hoc test. (B) Total protein lysates from parallel cultures were subjected to Western blotting. β-Actin served as a loading control. (C) Representative dot blot of total cellular O-GlcNAcylation from total protein lysates from cells decidualized for 2, 4, or 8 days. Lower panel denotes total cellular O-GlcNAcylation relative to β-actin by densitometry and expressed as arbitrary units (A.U.s). Group comparison by ANOVA and Tukey post hoc test. EnSC, endometrial stromal cell.
Figure 1.

Regulation of O-GlcNAcylation in decidualizing EnSCs. (A) OGT, OGA, and EOGT transcript levels were measured in undifferentiated EnSCs, and cells were decidualized with 8-br-cAMP and MPA for 2, 4, or 8 days. Expression was normalized to L19 mRNA levels, and the data show mean ± standard error of the mean relative to that in undifferentiated cells in four independent primary cultures. Different letters above the error bars indicate that groups are significantly different from each other at P < 0.05. Group comparison by analysis of variance (ANOVA) and Tukey post hoc test. (B) Total protein lysates from parallel cultures were subjected to Western blotting. β-Actin served as a loading control. (C) Representative dot blot of total cellular O-GlcNAcylation from total protein lysates from cells decidualized for 2, 4, or 8 days. Lower panel denotes total cellular O-GlcNAcylation relative to β-actin by densitometry and expressed as arbitrary units (A.U.s). Group comparison by ANOVA and Tukey post hoc test. EnSC, endometrial stromal cell.

Although thousands of OGT substrates have been identified, only a handful of EOGT targets have been described to date (38, 39). To determine the effect of decidualization on total cellular O-GlcNAcylation, protein lysates from undifferentiated EnSCs and cells decidualized for 8 days were subjected to dotblot analysis using a primary antibody directed against serine and threonine residues with attached β-O-linked GlcNAc. This analysis revealed ∼60% reduction in global O-GlcNAcylation in decidual cells (Fig. 1C), reflecting the relative shift to OGA over OGT. Thus, decidualization was associated with decreased OGT-mediated cellular O-GlcNAcylation but increased expression of EOGT, a highly selective transferase that targets secreted and membrane-bound proteins (39).

EOGT expression in midluteal endometrium

Mining of the Genotype-Tissue Expression and FANTOM (Functional Annotation of Mammalian Genomes) projects revealed that EOGT was highly expressed in the endometrium compared with other tissues (40, 41). Furthermore, analysis of GEO (profile ID: 24476716) demonstrated that EOGT mRNA levels in cycling endometrium increased sharply upon transition from the early to the midsecretory endometrium (Fig. 2A). Laser microdissection of glandular endometrial epithelium coupled to RNA sequencing revealed a transient threefold increase in EOGT mRNA levels during the midluteal phase, coinciding with the putative window of implantation (Fig. 2B) (42). Immunohistochemistry was performed to assess the spatiotemporal expression of EOGT in the endometrial stromal compartment. In timed early‒secretory phase (LH + 5) biopsies, EOGT immunoreactivity was largely confined to endometrial glands (Fig. 2C, upper panel). During the midluteal implantation window (LH + 9), stromal cells were strongly EOGT positive (Fig. 2C, lower panel). Interestingly, EOGT was also expressed in endothelial cells lining the emerging terminal spiral arteries, although the surrounding perivascular cells often appeared devoid of this glycosyltransferase. Thus, EOGT was expressed in the endometrial epithelial compartment, decidualizing stromal cells and vascular endothelial cells at the time of embryo implantation.

EOGT expression in midluteal endometrium. (A) EOGT transcripts, expressed as arbitrary units (A.U.s) in proliferative (P), early secretory (ES), midsecretory (MS), and late secretory (LS) endometrium. The data were derived from in silico analysis of GDS2052 microarray data. (B) Expression of EOGT, in transcripts per million (TPM), in ES, MS, and LS endometrial glandular epithelium. The data were derived from in silico analysis of published RNA-Seq data and show mean ± standard error of the mean (42). Different letters above the error bars indicate groups are significantly different from each other at P < 0.05. Group comparison by analysis of variance and Tukey post hoc test. (C) EOGT immunohistochemistry of midluteal endometrial biopsies obtained 5 and 9 days after the LH surge, representing the early and midluteal phases, respectively. Inset in the upper panel shows no staining upon omission of primary antibody (negative control). Arrowheads indicate positive staining of endothelial cells. Scale bar = 50 μm.
Figure 2.

EOGT expression in midluteal endometrium. (A) EOGT transcripts, expressed as arbitrary units (A.U.s) in proliferative (P), early secretory (ES), midsecretory (MS), and late secretory (LS) endometrium. The data were derived from in silico analysis of GDS2052 microarray data. (B) Expression of EOGT, in transcripts per million (TPM), in ES, MS, and LS endometrial glandular epithelium. The data were derived from in silico analysis of published RNA-Seq data and show mean ± standard error of the mean (42). Different letters above the error bars indicate groups are significantly different from each other at P < 0.05. Group comparison by analysis of variance and Tukey post hoc test. (C) EOGT immunohistochemistry of midluteal endometrial biopsies obtained 5 and 9 days after the LH surge, representing the early and midluteal phases, respectively. Inset in the upper panel shows no staining upon omission of primary antibody (negative control). Arrowheads indicate positive staining of endothelial cells. Scale bar = 50 μm.

Impact of EOGT knockdown on decidual marker genes and Notch signaling

Induction of decidual marker genes, such as PRL and IGFBP1, in response to cAMP and progestin signaling is mediated, at least in part, by the auto/paracrine actions of a host of cytokines and morphogens (1). We speculated that the strong induction of EOGT was essential for the expression of decidual marker genes in differentiating EnSCs. To test this conjecture, four primary cultures were first transfected with NT or EOGT siRNA and then decidualized with 8-br-cAMP and MPA for 2, 4, or 8 days. Although EOGT knockdown was highly efficient (Fig. 3A, leftmost panel), there was no significant effect on the induction of either PRL or IGFBP1 in decidualizing cultures (Fig. 3A, middle and rightmost panels, respectively).

EOGT knockdown in decidualizing EnSCs. (A) Four independent primary cultures were transfected with either nontargeting siRNA (siNT) or siRNA targeting EOGT (siEOGT). After 24 hours, the cultures remained either undifferentiated or were decidualized for 2, 4, and 8 days. Total mRNA was subjected to qRT-PCR analysis to determine transcript levels for EOGT (left panel), PRL (middle panel), and IGFBP1 (right panel). Expression was normalized to L19 mRNA levels, and data show mean ± standard error of the mean (SEM) fold change relative to undifferentiated EnSCs. **P < 0.01. Group comparison by unpaired t test. (B) Western blot analysis of EOGT, NOTCH1, and NOTCH3 intracellular domain levels in total protein lysates from EnSCs first transfected with siNT or siEOGT and then decidualized for the indicated time points. β-Actin served as a loading control. Densitometric analyses of NOTCH1 and NOTCH3 expression are shown in the middle and right panels, respectively. (C) Transcript expression of HES1 and HEY1, normalized to L19 mRNA, from three independent primary EnSC cultures transfected with siNT or siEOGT and decidualized for 4 days. Data are mean ± standard error of the mean of three biological replicates. P > 0.05 (unpaired t test). A.U., arbitrary unit.
Figure 3.

EOGT knockdown in decidualizing EnSCs. (A) Four independent primary cultures were transfected with either nontargeting siRNA (siNT) or siRNA targeting EOGT (siEOGT). After 24 hours, the cultures remained either undifferentiated or were decidualized for 2, 4, and 8 days. Total mRNA was subjected to qRT-PCR analysis to determine transcript levels for EOGT (left panel), PRL (middle panel), and IGFBP1 (right panel). Expression was normalized to L19 mRNA levels, and data show mean ± standard error of the mean (SEM) fold change relative to undifferentiated EnSCs. **P < 0.01. Group comparison by unpaired t test. (B) Western blot analysis of EOGT, NOTCH1, and NOTCH3 intracellular domain levels in total protein lysates from EnSCs first transfected with siNT or siEOGT and then decidualized for the indicated time points. β-Actin served as a loading control. Densitometric analyses of NOTCH1 and NOTCH3 expression are shown in the middle and right panels, respectively. (C) Transcript expression of HES1 and HEY1, normalized to L19 mRNA, from three independent primary EnSC cultures transfected with siNT or siEOGT and decidualized for 4 days. Data are mean ± standard error of the mean of three biological replicates. P > 0.05 (unpaired t test). A.U., arbitrary unit.

Notch receptors are perhaps the best-characterized targets of EOGT (27). O-GlcNAc modification of EGF-like repeats of NOTCH1 enhances signaling by potentiating interaction with Delta-like (DLL) 1 (DLL1) and DLL4 ligands in a cell-specific context (27). Ligand binding to the extracellular domain of Notch receptors induces proteolytic cleavage and releases Notch intracellular domain, which enters the cell nucleus to regulate gene expression. To test whether induction of EOGT in decidualizing EnSCs modulates Notch signaling, total protein lysates of undifferentiated cells and cells treated with 8-br-cAMP and MPA for 2, 4, or 8 days were subjected to Western blot analysis for NOTCH1 and NOTCH3 intracellular domains. As shown in Fig. 3B, decidualization was associated with gradual silencing of Notch signaling, and EOGT knockdown had no discernable effect on this response. Further, expression of HEY1 and HES1, target genes of the canonical Notch signaling pathway (43), was not significantly altered upon EOGT knockdown in EnSCs decidualized for 4 days (P > 0.05) (Fig. 3C). Taken together, these observations indicate that Notch activity was not likely regulated by EOGT-mediated O-GlcNAcylation in decidualizing cells.

EOGT knockdown perturbed decidual gene expression

To gain insight into the role of EOGT in decidual cells, total RNA harvested from three independent cultures, first transfected with either EOGT or NT siRNA and then treated with 8-br-cAMP and MPA for 4 days, was subjected to RNA sequencing. Approximately 26 to 36 million paired-end reads were sequenced per sample. After accounting for variations between primary cultures, the effect of EOGT knockdown on decidual gene expression was highly consistent with principal components 1 and 2, accounting for 52% and 36% of variance in gene expression, respectively (Fig. 4A). Based on q ≤ 0.05, we identified 340 genes that were significantly altered upon EOGT knockdown (Fig. 4B), of which 178 (52%) were upregulated and 162 (48%) were downregulated. Several highly induced decidual genes were downregulated significantly upon EOGT knockdown, including LEFTY2 (q = 3.13 × 10−4), CDKN1C (q = 5.10 × 10−8), GADD45G (q = 9.58 × 10−9), and GPX3 (q = 7.17 × 10−12) (Supplemental Fig. 2). EOGT knockdown also downregulated ESR1, coding the estrogen receptor α, in decidualizing cells (q = 1.07 × 10−3). However, the most repressed gene upon EOGT knockdown was ENHO (−2.03 log2-fold change; q = 5.67 × 10−11), coding adropin, a recently discovered peptide hormone implicated in the regulation of energy homeostasis, insulin resistance, and lipid metabolism (28). Interestingly, IL1RL1, which encodes the interleukin (IL)-33 receptor, is strongly upregulated upon decidualization (44), yet EOGT knockdown amplified induction of this gene in differentiating EnSCs (1.8 log2-fold change; q = 2.31 × 10−17).

EOGT knockdown perturbed distinct gene networks in EnSCs. (A) Principal component analysis of RNA-Seq data from three independent primary EnSC cultures first transfected with siNT and siEOGT and then decidualized for 4 days. (B) Clustered heatmap of RNA-seq data for differentially expressed transcripts between siEOGT and siNT transfected cultures. (C) Semantic clustering of significantly overrepresented GO terms (P < 0.05) of differentially upregulated and downregulated genes (left and right panels, respectively) upon EOGT knockdown. Circle size is proportional to the percentage of genes in the GO term, whereas the color indicates the log10 P value. Color key is on the right. (D) Word cloud presentation of overrepresented disease associations based on GO terms upon EOGT knockdown in decidualizing EnSCs. Size of the word is proportional to log10 q value. A.U., arbitrary unit; siEOGT, siRNA targeting EOGT; siNT, nontargeting siRNA.
Figure 4.

EOGT knockdown perturbed distinct gene networks in EnSCs. (A) Principal component analysis of RNA-Seq data from three independent primary EnSC cultures first transfected with siNT and siEOGT and then decidualized for 4 days. (B) Clustered heatmap of RNA-seq data for differentially expressed transcripts between siEOGT and siNT transfected cultures. (C) Semantic clustering of significantly overrepresented GO terms (P < 0.05) of differentially upregulated and downregulated genes (left and right panels, respectively) upon EOGT knockdown. Circle size is proportional to the percentage of genes in the GO term, whereas the color indicates the log10 P value. Color key is on the right. (D) Word cloud presentation of overrepresented disease associations based on GO terms upon EOGT knockdown in decidualizing EnSCs. Size of the word is proportional to log10 q value. A.U., arbitrary unit; siEOGT, siRNA targeting EOGT; siNT, nontargeting siRNA.

GO term enrichment analysis, using both DAVID (Fig. 4C) and GSEA (Supplemental Fig. 3), revealed that EOGT knockdown resulted in upregulation of genes involved—among other categories—in cell adhesion, extracellular matrix organization, and signal transduction (Fig. 4C, left panel, and Supplemental Fig. 3; Supplemental Table 2). Notable GO terms enriched in downregulated genes include oxidative-reductive process, response to estrogen/estradiol, and inflammatory responses (Fig, 4C, right panel, and Supplemental Fig. 3; Supplemental Table 2). We also annotated genes perturbed upon EOGT knockdown by their disease association. GO analysis yielded a conspicuous association between EOGT-responsive decidual genes and vascular and metabolic disorders, most prominently type 2 diabetes (Fig. 4D).

Obesity perturbed the endometrial EOGT-adropin axis

To explore the putative link with metabolic disorders, we measured EOGT transcript level by qRT-PCR in 112 midluteal (LH + 7 to 10) endometrial biopsies. Demographic details are summarized in Supplemental Table 1. Interestingly, endometrial EOGT mRNA levels correlated inversely with BMI (Pearson r = −0.194; P = 0.043) (Fig. 5A). By contrast, no association was found between either OGT or OGA mRNA levels and BMI (Supplemental Fig. 4). Western blot analysis of total protein lysates of 48 biopsies (LH + 7 to 9) substantiated the inverse correlation between endometrial EOGT levels and BMI (r = −0.335; P = 0.02) (Fig. 5B), with levels significantly lower in patients who were clinically obese compared with control subjects (P < 0.03) (Fig. 5C).

Obesity perturbed endometrial EOGT expression. (A) Pearson correlation (r) between normalized EOGT transcript levels in midluteal endometrial biopsies and BMI (kg/m2) in 112 subjects. (B) Pearson correlation between normalized EOGT protein expression and BMI in midluteal endometrial biopsies from 48 subjects. (C) Normalized EOGT protein levels in timed endometrial biopsies obtained from women with BMIs <25, 25 to 30 (overweight), and >30 (obese). *P < 0.05 (unpaired t test). A.U., arbitrary unit.
Figure 5.

Obesity perturbed endometrial EOGT expression. (A) Pearson correlation (r) between normalized EOGT transcript levels in midluteal endometrial biopsies and BMI (kg/m2) in 112 subjects. (B) Pearson correlation between normalized EOGT protein expression and BMI in midluteal endometrial biopsies from 48 subjects. (C) Normalized EOGT protein levels in timed endometrial biopsies obtained from women with BMIs <25, 25 to 30 (overweight), and >30 (obese). *P < 0.05 (unpaired t test). A.U., arbitrary unit.

Expression of adropin in the endometrium has not yet been reported. As shown in Fig. 6A, ENHO mRNA levels increased significantly in primary EnSCs decidualized with 8-br-cAMP and MPA for 4 days, although the level of induction varied markedly between primary cultures (Fig. 6A and Supplemental Fig. 5). Furthermore, immunohistochemistry of serial endometrial sections (LH + 8) revealed that the tissue distribution of adropin was indistinguishable from that of EOGT, characterized by strong expression in glands, differentiating stromal cells, and endothelial but not perivascular cells (Fig. 6B). Furthermore, a strong positive correlation was observed between EOGT and ENHO transcript levels in 112 timed endometrial biopsies (r = 0.327; P = 0.0003) (Fig. 6C), as well as a negative correlation between ENHO mRNA expression and BMI (r = −0.178; P = 0.044) (Fig. 6D).

Endometrial ENHO expression related to BMI. (A) ENHO mRNA levels were measured in undifferentiated EnSCs and cells decidualized with 8-br-cAMP and MPA for 4 days (upper panel). Expression was normalized to L19 mRNA levels, and the data show fold change relative to expression in undifferentiated cells in six independent primary cultures Total protein lysates from parallel cultures were subjected to Western blotting (lower panel). β-Actin served as a loading control. **P < 0.01 (unpaired t test). (B) Immunohistochemistry of EOGT (left panel) and adropin (right panel) on serial tissue sections, demonstrating colocalization of both proteins in midluteal endometrium. Inset in the left panel shows no staining upon omission of primary antibody (negative control). Arrowheads indicate EOGT and adropin immunoreactivity in endothelial cells of terminal spiral arteries. Scale bars = 50 μm. (C) Pearson correlation between EOGT and ENHO transcripts in endometrial biopsies from 112 subjects. (D) Pearson correlation between ENHO mRNA levels in midluteal endometrial biopsies and BMI in 112 subjects. *P < 0.05; ***P < 0.001.
Figure 6.

Endometrial ENHO expression related to BMI. (A) ENHO mRNA levels were measured in undifferentiated EnSCs and cells decidualized with 8-br-cAMP and MPA for 4 days (upper panel). Expression was normalized to L19 mRNA levels, and the data show fold change relative to expression in undifferentiated cells in six independent primary cultures Total protein lysates from parallel cultures were subjected to Western blotting (lower panel). β-Actin served as a loading control. **P < 0.01 (unpaired t test). (B) Immunohistochemistry of EOGT (left panel) and adropin (right panel) on serial tissue sections, demonstrating colocalization of both proteins in midluteal endometrium. Inset in the left panel shows no staining upon omission of primary antibody (negative control). Arrowheads indicate EOGT and adropin immunoreactivity in endothelial cells of terminal spiral arteries. Scale bars = 50 μm. (C) Pearson correlation between EOGT and ENHO transcripts in endometrial biopsies from 112 subjects. (D) Pearson correlation between ENHO mRNA levels in midluteal endometrial biopsies and BMI in 112 subjects. *P < 0.05; ***P < 0.001.

Discussion

Dynamic changes in protein O-GlcNAcylation enable cells to homeostatically balance energy supply and demand by modulating the stability, localization, and function of a myriad of proteins (45). Here, we report that decidualizing EnSCs downregulated OGT expression and intracellular O-GlcNAcylation but upregulated the highly selective glycosyltransferase EOGT. Increased canonical O-GlcNAcylation is a well-characterized prosurvival response (15), rendering the downregulation of OGT in differentiating EnSCs counterintuitive, especially as initiation of decidual differentiation coincides with a burst of endogenous reactive oxygen species production and release of various inflammatory mediators (46, 47). However, small ubiquitinlike modifier modification of proteins is also dramatically reduced in decidualizing cells and uncoupled from c-Jun N-terminal kinase‒mediated stress signaling though the induction of mitogen-activated protein kinase phosphatase 1 (4, 6, 8). Hence, by silencing selective pathways that converge on the posttranslational modification code of numerous proteins, decidual cells appear to prioritize cellular homeostasis over an adaptive response to stress signals. Further, recent studies have shown that decidualization is critically dependent on glucose utilization via the pentose phosphate pathway (48), suggesting that loss of OGT may be integral to the metabolic reprogramming of the endometrium in preparation for pregnancy.

Induction of EOGT in the endometrium during the midluteal phase of the cycle coincides with the window of implantation. At this time, EOGT is expressed in the glandular epithelium, vascular endothelial cells, and stromal cells that are poised to decidualize. Decidualization is characterized by an unfolded protein response that underpins ER expansion and acquisition of a secretory phenotype (49). In fact, multiple secreted factors, including IL-11, leukemia inhibitory factor, and bone morphogenetic protein 2, have been implicated in the auto/paracrine propagation of the decidual response (1). However, the identity and role of EOGT target proteins, whether secreted or expressed on the cell surface, in differentiating EnSCs requires further investigation. We showed that Notch signaling was attenuated upon decidualization (50), irrespective of EOGT knockdown. Furthermore, other known EOGT target proteins (26), including thrombospondin (THBS1), peptidase domain containing associated with muscle regeneration 1 (PAMR1), and laminin alpha 5 (LAMA5), are also downregulated upon decidualization, at least at the mRNA level (GEO accession number: GSE104720).

Although EOGT knockdown did not significantly affect PRL or IGFBP1 expression in differentiating cells, RNA sequencing uncovered a robust set of 341 EOGT-dependent genes. EOGT knockdown upregulated several genes encoding inflammatory mediators, including IL-1β (IL1B) and complement component 3 (C3), but downregulated key genes involved in decidual stress defenses, such as GPX3 (coding extracellular glutathione peroxidase), GLXR (glutaredoxin), and GADD45G (growth arrest and DNA damage inducible gamma) (1). EOGT knockdown also blunted the induction of other cardinal decidual genes, including F3 (tissue factor) (1), LEFTY2 (left-right determination factor 2, also known as endometrial bleeding-associated factor, or EBAF) (51), and CDKN1C (cyclin-dependent kinase inhibitor 1C, p57kip2) (52).

Most striking, however, was the repression of ENHO upon loss of EOGT. ENHO encodes adropin, a recently discovered peptide hormone implicated in energy homeostasis, glucose and fatty acid metabolism, and vascular protection (53). Although ENHO is expressed primarily in the liver, pancreas, and brain (28), we showed that this gene is also induced upon decidualization of human EnSCs, although the magnitude of induction varied markedly between primary cultures. We further showed a strong positive correlation between EOGT and ENHO transcript levels in whole endometrial biopsies; and immunohistochemistry on serial tissue sections revealed that the cellular distribution of adropin in midluteal endometrium was indistinguishable from EOGT.

GO analysis revealed a putative association between decidual genes perturbed upon EOGT knockdown and metabolic and cardiovascular disorders. To explore this possible link further, we measured the transcript levels of the three O-GlcNAc‒processing enzymes in 112 randomly selected midluteal endometrial biopsies from women ranging in BMI (kg/m2) from 18 to 42. A weak but significant negative correlation was observed between BMI and EOGT mRNA levels but not OGT or OGA expression. Western blot analysis confirmed that obesity is associated with impaired endometrial EOGT expression. Furthermore, endometrial ENHO transcript levels correlated negatively with BMI.

Obesity increases the risk of a spectrum of pregnancy disorders, including obstetrical syndromes such as preeclampsia, fetal growth restriction, and preterm labor (54, 55), which are caused by impaired endovascular trophoblast invasion and spiral artery remodeling (56). In the absence of physiological remodeling, these uterine vessels are prone to develop acute atherosis, characterized by changes in lipid metabolism, intravascular inflammation, macrophage infiltration, and endothelial cell dysfunction (57). Adropin promotes various indices of vascular health, including increased endothelial cell proliferation, migration, and angiogenesis, and diminishes permeability and apoptosis (58). Although as yet untested, these observations suggest that adequate decidual adropin production may be essential for successful spiral artery remodeling in pregnancy. Notably, low circulating adropin levels have been associated not only with high BMI, insulin resistance, endothelial dysfunction, and coronary atherosclerosis but also with severe preeclampsia (59, 60).

In summary, the shift from OGT to EOGT dominance in decidualizing EnSCs resulted in intracellular hypo‒O-GlcNAcylation, whereas glucose utilization through the HBP for modification of selective secreted and/or membrane proteins was likely enhanced. We demonstrated that EOGT upregulation was critical for normal decidual function and identified ENHO as a major EOGT-responsive gene. Further, our observation that obesity impaired the EOGT-adropin axis in the endometrium intimates a mechanistic pathway that links metabolic disorders to vascular placental pathology and adverse pregnancy outcome.

Abbreviations:

     
  • BMI

    body mass index

  •  
  • cAMP

    cyclic adenosine monophosphate

  •  
  • EGF

    epidermal growth factor

  •  
  • ENHO

    energy homeostasis–associated gene

  •  
  • EnSC

    endometrial stromal cell

  •  
  • EOGT

    epidermal growth factor domain–specific O-linked GlcNAc transferase

  •  
  • ER

    endoplasmic reticulum

  •  
  • GEO

    Gene Expression Omnibus

  •  
  • GO

    Gene Ontology

  •  
  • GSEA

    Gene Set Enrichment Analysis

  •  
  • HBP

    hexosamine biosynthetic pathway

  •  
  • IL

    interleukin

  •  
  • LH

    luteinizing hormone

  •  
  • MPA

    medroxyprogesterone acetate

  •  
  • mRNA

    messenger RNA

  •  
  • NT

    nontargeting

  •  
  • OGA

    O-GlcNAcase

  •  
  • O-GlcNAc

    O-linked β-N-acetylglucosamine

  •  
  • OGT

    O-GlcNAc transferase

  •  
  • qRT-PCR

    real-time quantitative polymerase chain reaction

  •  
  • siRNA

    small interfering RNA

  •  
  • UDP

    uridine diphosphate.

Acknowledgments

We are grateful to all participating women. We also thank Drs. Siobhan Quenby and David Snead for valuable advice.

Financial Support: This study was funded by Diabetes UK (15/0005207) (to M.W.) and Tommy’s National Miscarriage Research Centre.

Disclosure Summary: The authors have nothing to disclose.

References

1.

Gellersen
B
,
Brosens
JJ
.
Cyclic decidualization of the human endometrium in reproductive health and failure
.
Endocr Rev
.
2014
;
35
(
6
):
851
905
.

2.

Weimar
CH
,
Kavelaars
A
,
Brosens
JJ
,
Gellersen
B
,
de Vreeden-Elbertse
JM
,
Heijnen
CJ
,
Macklon
NS
.
Endometrial stromal cells of women with recurrent miscarriage fail to discriminate between high- and low-quality human embryos
.
PLoS One
.
2012
;
7
(
7
):
e41424
.

3.

Erlebacher
A
.
Immunology of the maternal-fetal interface
.
Annu Rev Immunol
.
2013
;
31
(
1
):
387
411
.

4.

Leitao
BB
,
Jones
MC
,
Brosens
JJ
.
The SUMO E3-ligase PIAS1 couples reactive oxygen species-dependent JNK activation to oxidative cell death
.
FASEB J
.
2011
;
25
(
10
):
3416
3425
.

5.

Muter
J
,
Lucas
ES
,
Chan
Y-W
,
Brighton
PJ
,
Moore
JD
,
Lacey
L
,
Quenby
S
,
Lam
EWF
,
Brosens
JJ
.
The clock protein period 2 synchronizes mitotic expansion and decidual transformation of human endometrial stromal cells
.
FASEB J
.
2015
;
29
(
4
):
1603
1614
.

6.

Leitao
B
,
Jones
MC
,
Fusi
L
,
Higham
J
,
Lee
Y
,
Takano
M
,
Goto
T
,
Christian
M
,
Lam
EWF
,
Brosens
JJ
.
Silencing of the JNK pathway maintains progesterone receptor activity in decidualizing human endometrial stromal cells exposed to oxidative stress signals
.
FASEB J
.
2010
;
24
(
5
):
1541
1551
.

7.

Muter
J
,
Brighton
PJ
,
Lucas
ES
,
Lacey
L
,
Shmygol
A
,
Quenby
S
,
Blanks
AM
,
Brosens
JJ
.
Progesterone-dependent induction of phospholipase c-related catalytically inactive protein 1 (prip-1) in decidualizing human endometrial stromal cells
.
Endocrinology
.
2016
;
157
(
7
):
2883
2893
.

8.

Jones
MC
,
Fusi
L
,
Higham
JH
,
Abdel-Hafiz
H
,
Horwitz
KB
,
Lam
EWF
,
Brosens
JJ
.
Regulation of the SUMO pathway sensitizes differentiating human endometrial stromal cells to progesterone
.
Proc Natl Acad Sci USA
.
2006
;
103
(
44
):
16272
16277
.

9.

Shah
KM
,
Webber
J
,
Carzaniga
R
,
Taylor
DM
,
Fusi
L
,
Clayton
A
,
Brosens
JJ
,
Hartshorne
G
,
Christian
M
.
Induction of microRNA resistance and secretion in differentiating human endometrial stromal cells
.
J Mol Cell Biol
.
2013
;
5
(
1
):
67
70
.

10.

Kajihara
T
,
Jones
M
,
Fusi
L
,
Takano
M
,
Feroze-Zaidi
F
,
Pirianov
G
,
Mehmet
H
,
Ishihara
O
,
Higham
JM
,
Lam
EWF
,
Brosens
JJ
.
Differential expression of FOXO1 and FOXO3a confers resistance to oxidative cell death upon endometrial decidualization
.
Mol Endocrinol
.
2006
;
20
(
10
):
2444
2455
.

11.

Butkinaree
C
,
Park
K
,
Hart
GW
.
O-linked β-N-acetylglucosamine (O-GlcNAc): extensive crosstalk with phosphorylation to regulate signaling and transcription in response to nutrients and stress
.
Biochim Biophys Acta
.
2010
;
1800
(
2
):
96
106
.

12.

Zachara
NE
,
O’Donnell
N
,
Cheung
WD
,
Mercer
JJ
,
Marth
JD
,
Hart
GW
.
Dynamic O-GlcNAc modification of nucleocytoplasmic proteins in response to stress: a survival response of mammalian cells
.
J Biol Chem
.
2004
;
279
(
29
):
30133
30142
.

13.

Walgren
JLE
,
Vincent
TS
,
Schey
KL
,
Buse
MG
.
High glucose and insulin promote O-GlcNAc modification of proteins, including α-tubulin
.
Am J Physiol Endocrinol Metab
.
2003
;
284
(
2
):
E424
E434
.

14.

Housley
MP
,
Rodgers
JT
,
Udeshi
ND
,
Kelly
TJ
,
Shabanowitz
J
,
Hunt
DF
,
Puigserver
P
,
Hart
GW
.
O-GlcNAc regulates FoxO activation in response to glucose
.
J Biol Chem
.
2008
;
283
(
24
):
16283
16292
.

15.

Groves
JA
,
Lee
A
,
Yildirir
G
,
Zachara
NE
.
Dynamic O-GlcNAcylation and its roles in the cellular stress response and homeostasis
.
Cell Stress Chaperones
.
2013
;
18
(
5
):
535
558
.

16.

Wang
Z
,
Gucek
M
,
Hart
GW
.
Cross-talk between GlcNAcylation and phosphorylation: site-specific phosphorylation dynamics in response to globally elevated O-GlcNAc
.
Proc Natl Acad Sci USA
.
2008
;
105
(
37
):
13793
13798
.

17.

Zou
L
,
Yang
S
,
Hu
S
,
Chaudry
IH
,
Marchase
RB
,
Chatham
JC
.
The protective effects of PUGNAc on cardiac function after trauma-hemorrhage are mediated via increased protein O-GlcNAc levels
.
Shock
.
2007
;
27
(
4
):
402
408
.

18.

Jones
SP
,
Zachara
NE
,
Ngoh
GA
,
Hill
BG
,
Teshima
Y
,
Bhatnagar
A
,
Hart
GW
,
Marbán
E
.
Cardioprotection by N-acetylglucosamine linkage to cellular proteins
.
Circulation
.
2008
;
117
(
9
):
1172
1182
.

19.

Zachara
NE
,
Molina
H
,
Wong
KY
,
Pandey
A
,
Hart
GW
.
The dynamic stress-induced “O-GlcNAc-ome” highlights functions for O-GlcNAc in regulating DNA damage/repair and other cellular pathways
.
Amino Acids
.
2011
;
40
(
3
):
793
808
.

20.

Love
DC
,
Ghosh
S
,
Mondoux
MA
,
Fukushige
T
,
Wang
P
,
Wilson
MA
,
Iser
WB
,
Wolkow
CA
,
Krause
MW
,
Hanover
JA
.
Dynamic O-GlcNAc cycling at promoters of Caenorhabditis elegans genes regulating longevity, stress, and immunity
.
Proc Natl Acad Sci USA
.
2010
;
107
(
16
):
7413
7418
.

21.

Ngoh
GA
,
Hamid
T
,
Prabhu
SD
,
Jones
SP
.
O-GlcNAc signaling attenuates ER stress-induced cardiomyocyte death
.
Am J Physiol Heart Circ Physiol
.
2009
;
297
(
5
):
H1711
H1719
.

22.

Ngoh
GA
,
Watson
LJ
,
Facundo
HT
,
Dillmann
W
,
Jones
SP
.
Non-canonical glycosyltransferase modulates post-hypoxic cardiac myocyte death and mitochondrial permeability transition
.
J Mol Cell Cardiol
.
2008
;
45
(
2
):
313
325
.

23.

Matsuura
A
,
Ito
M
,
Sakaidani
Y
,
Kondo
T
,
Murakami
K
,
Furukawa
K
,
Nadano
D
,
Matsuda
T
,
Okajima
T
.
O-linked N-acetylglucosamine is present on the extracellular domain of notch receptors
.
J Biol Chem
.
2008
;
283
(
51
):
35486
35495
.

24.

Sakaidani
Y
,
Nomura
T
,
Matsuura
A
,
Ito
M
,
Suzuki
E
,
Murakami
K
,
Nadano
D
,
Matsuda
T
,
Furukawa
K
,
Okajima
T
.
O-linked-N-acetylglucosamine on extracellular protein domains mediates epithelial cell-matrix interactions
.
Nat Commun
.
2011
;
2
:
583
.

25.

Müller
R
,
Jenny
A
,
Stanley
P
.
The EGF repeat-specific O-GlcNAc-transferase Eogt interacts with notch signaling and pyrimidine metabolism pathways in Drosophila
.
PLoS One
.
2013
;
8
(
5
):
e62835
.

26.

Ogawa
M
,
Furukawa
K
,
Okajima
T
.
Extracellular O-linked β-N-acetylglucosamine: its biology and relationship to human disease
.
World J Biol Chem
.
2014
;
5
(
2
):
224
230
.

27.

Sawaguchi
S
,
Varshney
S
,
Ogawa
M
,
Sakaidani
Y
,
Yagi
H
,
Takeshita
K
,
Murohara
T
,
Kato
K
,
Sundaram
S
,
Stanley
P
,
Okajima
T
.
O-GlcNAc on NOTCH1 EGF repeats regulates ligand-induced Notch signaling and vascular development in mammals
.
eLife
.
2017
;
6
:
e24419
.

28.

Aydin
S
.
Three new players in energy regulation: preptin, adropin and irisin
.
Peptides
.
2014
;
56
:
94
110
.

29.

Mierzwicka
A
,
Bolanowski
M
.
New peptides players in metabolic disorders
.
Postepy Hig Med Dosw
.
2016
;
70
(
0
):
881
886
.

30.

Barros
FSV
,
Brosens
JJ
,
Brighton
PJ
.
Isolation and primary culture of various cell types from whole human endometrial biopsies
.
Bio-protocol
.
2016
;
6
(
22
):
e2028
.

31.

Feroze-Zaidi
F
,
Fusi
L
,
Takano
M
,
Higham
J
,
Salker
MS
,
Goto
T
,
Edassery
S
,
Klingel
K
,
Boini
KM
,
Palmada
M
,
Kamps
R
,
Groothuis
PG
,
Lam
EW
,
Smith
SK
,
Lang
F
,
Sharkey
AM
,
Brosens
JJ
.
Role and regulation of the serum- and glucocorticoid-regulated kinase 1 in fertile and infertile human endometrium
.
Endocrinology
.
2007
;
148
(
10
):
5020
5029
.

32.

Wagner
GP
,
Kin
K
,
Lynch
VJ
.
Measurement of mRNA abundance using RNA-seq data: RPKM measure is inconsistent among samples
.
Theory Biosci
.
2012
;
131
(
4
):
281
285
.

33.

Huang
W
,
Sherman
BT
,
Lempicki
RA
.
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
.
Nat Protoc
.
2009
;
4
(
1
):
44
57
.

34.

Huang
W
,
Sherman
BT
,
Lempicki
RA
.
Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists
.
Nucleic Acids Res
.
2009
;
37
(
1
):
1
13
.

35.

Supek
F
,
Bošnjak
M
,
Škunca
N
,
Šmuc
T
.
REVIGO summarizes and visualizes long lists of gene ontology terms
.
PLoS One
.
2011
;
6
(
7
):
e21800
.

36.

Väremo
L
,
Nielsen
J
,
Nookaew
I
.
Enriching the gene set analysis of genome-wide data by incorporating directionality of gene expression and combining statistical hypotheses and methods
.
Nucleic Acids Res
.
2013
;
41
(
8
):
4378
4391
.

37.

Durinck
S
,
Spellman
PT
,
Birney
E
,
Huber
W
.
Mapping identifiers for the integration of genomic datasets with the R/Bioconductor package biomaRt
.
Nat Protoc
.
2009
;
4
(
8
):
1184
1191
.

38.

Alfaro
JF
,
Gong
C-X
,
Monroe
ME
,
Aldrich
JT
,
Clauss
TRW
,
Purvine
SO
,
Wang
Z
,
Camp
DG
II
,
Shabanowitz
J
,
Stanley
P
,
Hart
GW
,
Hunt
DF
,
Yang
F
,
Smith
RD
.
Tandem mass spectrometry identifies many mouse brain O-GlcNAcylated proteins including EGF domain-specific O-GlcNAc transferase targets
.
Proc Natl Acad Sci USA
.
2012
;
109
(
19
):
7280
7285
.

39.

Varshney
S
,
Stanley
P
.
EOGT and O-GlcNAc on secreted and membrane proteins
.
Biochem Soc Trans
.
2017
;
45
(
2
):
401
408
.

40.

Lonsdale
J
,
Thomas
J
,
Salvatore
M
,
Phillips
R
,
Lo
E
,
Shad
S
,
Hasz
R
,
Walters
G
,
Garcia
F
,
Young
N
;
GTEx Consortium
.
The genotype-tissue expression (GTEx) project
.
Nat Genet
.
2013
;
45
(
6
):
580
585
.

41.

Lizio
M
,
Harshbarger
J
,
Shimoji
H
,
Severin
J
,
Kasukawa
T
,
Sahin
S
,
Abugessaisa
I
,
Fukuda
S
,
Hori
F
,
Ishikawa-Kato
S
,
Mungall
CJ
,
Arner
E
,
Baillie
JK
,
Bertin
N
,
Bono
H
,
de Hoon
M
,
Diehl
AD
,
Dimont
E
,
Freeman
TC
,
Fujieda
K
,
Hide
W
,
Kaliyaperumal
R
,
Katayama
T
,
Lassmann
T
,
Meehan
TF
,
Nishikata
K
,
Ono
H
,
Rehli
M
,
Sandelin
A
,
Schultes
EA
,
’t Hoen
PA
,
Tatum
Z
,
Thompson
M
,
Toyoda
T
,
Wright
DW
,
Daub
CO
,
Itoh
M
,
Carninci
P
,
Hayashizaki
Y
,
Forrest
AR
,
Kawaji
H
;
FANTOM consortium
.
Gateways to the FANTOM5 promoter level mammalian expression atlas
.
Genome Biol
.
2015
;
16
(
1
):
22
.

42.

Salker
MS
,
Singh
Y
,
Zeng
N
,
Chen
H
,
Zhang
S
,
Umbach
AT
,
Fakhri
H
,
Kohlhofer
U
,
Quintanilla-Martinez
L
,
Durairaj
RRP
,
Barros
FSV
,
Vrljicak
P
,
Ott
S
,
Brucker
SY
,
Wallwiener
D
,
Vrhovac Madunić
I
,
Breljak
D
,
Sabolić
I
,
Koepsell
H
,
Brosens
JJ
,
Lang
F
.
Loss of endometrial sodium glucose cotransporter SGLT1 is detrimental to embryo survival and fetal growth in pregnancy
.
Sci Rep
.
2017
;
7
(
1
):
12612
.

43.

Murakami
K
,
Lee
YH
,
Lucas
ES
,
Chan
Y-W
,
Durairaj
RP
,
Takeda
S
,
Moore
JD
,
Tan
BK
,
Quenby
S
,
Chan
JKY
,
Gargett
CE
,
Brosens
JJ
.
Decidualization induces a secretome switch in perivascular niche cells of the human endometrium
.
Endocrinology
.
2014
;
155
(
11
):
4542
4553
.

44.

Salker
MS
,
Nautiyal
J
,
Steel
JH
,
Webster
Z
,
Sućurović
S
,
Nicou
M
,
Singh
Y
,
Lucas
ES
,
Murakami
K
,
Chan
YW
,
James
S
,
Abdallah
Y
,
Christian
M
,
Croy
BA
,
Mulac-Jericevic
B
,
Quenby
S
,
Brosens
JJ
.
Disordered IL-33/ST2 activation in decidualizing stromal cells prolongs uterine receptivity in women with recurrent pregnancy loss
.
PLoS One
.
2012
;
7
(
12
):
e52252
.

45.

Myslicki
JP
,
Belke
DD
,
Shearer
J
.
Role of O-GlcNAcylation in nutritional sensing, insulin resistance and in mediating the benefits of exercise
.
Appl Physiol Nutr Metab
.
2014
;
39
(
11
):
1205
1213
.

46.

Al-Sabbagh
M
,
Fusi
L
,
Higham
J
,
Lee
Y
,
Lei
K
,
Hanyaloglu
AC
,
Lam
EW
,
Christian
M
,
Brosens
JJ
.
NADPH oxidase-derived reactive oxygen species mediate decidualization of human endometrial stromal cells in response to cyclic AMP signaling
.
Endocrinology
.
2011
;
152
(
2
):
730
740
.

47.

Lucas
ES
,
Dyer
NP
,
Murakami
K
,
Lee
YH
,
Chan
YW
,
Grimaldi
G
,
Muter
J
,
Brighton
PJ
,
Moore
JD
,
Patel
G
,
Chan
JK
,
Takeda
S
,
Lam
EW
,
Quenby
S
,
Ott
S
,
Brosens
JJ
.
Loss of endometrial plasticity in recurrent pregnancy loss
.
Stem Cells
.
2016
;
34
(
2
):
346
356
.

48.

Frolova
AI
,
O’Neill
K
,
Moley
KH
.
Dehydroepiandrosterone inhibits glucose flux through the pentose phosphate pathway in human and mouse endometrial stromal cells, preventing decidualization and implantation
.
Mol Endocrinol
.
2011
;
25
(
8
):
1444
1455
.

49.

Brosens
JJ
,
Salker
MS
,
Teklenburg
G
,
Nautiyal
J
,
Salter
S
,
Lucas
ES
,
Steel
JH
,
Christian
M
,
Chan
YW
,
Boomsma
CM
,
Moore
JD
,
Hartshorne
GM
,
Sućurović
S
,
Mulac-Jericevic
B
,
Heijnen
CJ
,
Quenby
S
,
Koerkamp
MJ
,
Holstege
FC
,
Shmygol
A
,
Macklon
NS
.
Uterine selection of human embryos at implantation
.
Sci Rep
.
2014
;
4
(
1
):
3894
.

50.

Afshar
Y
,
Miele
L
,
Fazleabas
AT
.
Notch1 is regulated by chorionic gonadotropin and progesterone in endometrial stromal cells and modulates decidualization in primates
.
Endocrinology
.
2012
;
153
(
6
):
2884
2896
.

51.

Tang
M
,
Mikhailik
A
,
Pauli
I
,
Giudice
LC
,
Fazelabas
AT
,
Tulac
S
,
Carson
DD
,
Kaufman
DG
,
Barbier
C
,
Creemers
JW
,
Tabibzadeh
S
.
Decidual differentiation of stromal cells promotes Proprotein Convertase 5/6 expression and lefty processing
.
Endocrinology
.
2005
;
146
(
12
):
5313
5320
.

52.

Takano
M
,
Lu
Z
,
Goto
T
,
Fusi
L
,
Higham
J
,
Francis
J
,
Withey
A
,
Hardt
J
,
Cloke
B
,
Stavropoulou
AV
,
Ishihara
O
,
Lam
EW
,
Unterman
TG
,
Brosens
JJ
,
Kim
JJ
.
Transcriptional cross talk between the forkhead transcription factor forkhead box O1A and the progesterone receptor coordinates cell cycle regulation and differentiation in human endometrial stromal cells
.
Mol Endocrinol
.
2007
;
21
(
10
):
2334
2349
.

53.

Kumar
KG
,
Trevaskis
JL
,
Lam
DD
,
Sutton
GM
,
Koza
RA
,
Chouljenko
VN
,
Kousoulas
KG
,
Rogers
PM
,
Kesterson
RA
,
Thearle
M
,
Ferrante
AW
, Jr
,
Mynatt
RL
,
Burris
TP
,
Dong
JZ
,
Halem
HA
,
Culler
MD
,
Heisler
LK
,
Stephens
JM
,
Butler
AA
.
Identification of adropin as a secreted factor linking dietary macronutrient intake with energy homeostasis and lipid metabolism
.
Cell Metab
.
2008
;
8
(
6
):
468
481
.

54.

Alanis
MC
,
Goodnight
WH
,
Hill
EG
,
Robinson
CJ
,
Villers
MS
,
Johnson
DD
.
Maternal super-obesity (body mass index ≥ 50) and adverse pregnancy outcomes
.
Acta Obstet Gynecol Scand
.
2010
;
89
(
7
):
924
930
.

55.

Brewer
CJ
,
Balen
AH
.
The adverse effects of obesity on conception and implantation
.
Reproduction
.
2010
;
140
(
3
):
347
364
.

56.

Brosens
I
,
Pijnenborg
R
,
Vercruysse
L
,
Romero
R
.
The “Great Obstetrical Syndromes” are associated with disorders of deep placentation
.
Am J Obstet Gynecol
.
2011
;
204
(
3
):
193
201
.

57.

Labarrere
CA
,
DiCarlo
HL
,
Bammerlin
E
,
Hardin
JW
,
Kim
YM
,
Chaemsaithong
P
,
Haas
DM
,
Kassab
GS
,
Romero
R
.
Failure of physiologic transformation of spiral arteries, endothelial and trophoblast cell activation, and acute atherosis in the basal plate of the placenta
.
Am J Obstet Gynecol
.
2017
;
216
(
3
):
287.e1
287.e16
.

58.

Lovren
F
,
Pan
Y
,
Quan
A
,
Singh
KK
,
Shukla
PC
,
Gupta
M
,
Al-Omran
M
,
Teoh
H
,
Verma
S
.
Adropin is a novel regulator of endothelial function
.
Circulation
.
2010
;
122
(
11
Suppl 1
):
S185
S192
.

59.

Cakmak
BD
,
Dundar
B
,
Acikgoz
AS
,
Ozgen
G
,
Cift
T
,
Ahmedian
R
,
Altekin
Y
.
The relationship between maternal and umbilical cord adropin levels with the presence and severity of preeclampsia
.
J Perinat Med
.
2017
;
45
(
7
):
879
885
.

60.

Wang
H
,
Gao
B
,
Wu
Z
,
Wang
H
,
Dong
M
.
Alteration of serum adropin level in preeclampsia
.
Pregnancy Hypertens
.
2017
;
8
:
6
8
.

Supplementary data