Placenta

ObjectiveThe immune system plays a role in the occurrence and progression of numerous pregnancy complications, particularly preeclampsia (PE). This study aims to identify critical immune biomarkers via machine learning and assess their predictive ability. MethodsGene expression data were retrieved from the GEO database, while immune-related genes were obtained from the ImmPort repository. Differential expression analysis was then conducted to identify immune genes associated with PE. Different immune-related genes (DIRGs) were subjected to functional and pathway enrichment analysis. We adopted protein-protein interaction (PPI) networks for exploring the connections among various DIRGs and integrated two machine-learning to pinpoint candidate biomarkers in PE. Diagnostic performance was assessed via ROC curve analysis, with predictive accuracy further quantified using nomogram calibration. Findings were validated through integrated computational and experimental analyses. In silico validation utilized additional GEO datasets, while experimental confirmation involved qRT-PCR and IHC assessment of placental tissues. We developed a nomogram to predict PE utilizing two immune-related genes. Cellular composition was inferred from transcriptomic data using CIBERSORT deconvolution.. ResultsWe identified 66 differentially expressed genes (DEGs) and 10 DIRGs between PE pregnancies and normotensive pregnancies. The GO analyses revealed that the DIRGs were enriched in gonadotropin secretion, the regulation of gonadotropin secretion, and the regulation of endocrine processes. Functional annotation revealed enrichment in cytokine and neuroactive ligand-receptor pathways. SERPINA3 and NDRG1 emerged as top-performing biomarkers (training AUCs: 0.812 and 0.866; external validation: 0.795 and 0.781), with overexpression validated in clinical specimens. Both genes inversely regulated M2 macrophage abundance (P < 0.05). ConclusionPE is fundamentally an immune-mediated disorder. SERPINA3 and NDRG1 can be identified as key immune genes associated with M2 macrophages, and these findings provide novel perspectives for the diagnosis and pathogenesis of PE.

Preeclampsia (PE) is a hypertensive disorder of pregnancy associated with inadequate trophoblast invasion, impaired spiral artery remodelling and increased trophoblast apoptosis, leading to malplacentation. Decidual macrophages are through to be key in clearing these apoptotic cells via efferocytosis, a process that normally promotes an anti-inflammatory phenotype. In PE, however, transcriptomic studies have shown that decidual macrophages exhibit a pro-inflammatory phenotype, suggesting their ability to efferocytose may be impaired. This study investigated whether PE alters ex vivo decidual macrophage function in placentas obtained from healthy pregnancies (n=11) or with early-onset PE (n=9). Macrophages isolated from both the decidua basalis and decidua parietalis of PE placentas demonstrated significantly reduced efferocytosis of apoptotic trophoblasts compared to healthy controls, accompanied by increased release of CXCL-8 and IL-6. Similarly, phagocytosis of Streptococcus agalactiae was significantly impaired by both macrophage subtypes. Analysis of macrophage scavenger receptors revealed that efferocytic macrophages upregulate receptors for eat me signals, whereas non-efferocytic macrophages fail to do so. These findings demonstrate that decidual macrophages in the preeclamptic placenta exhibit impaired efferocytosis and phagocytosis, which may contribute to the accumulation of apoptotic trophoblasts and increased pro-inflammatory signaling. Further analysis of this defective function is vital to identify novel immunomodulatory treatments for PE. Graphical abstractIn healthy pregnancy, decidual macrophage efferocytosis of apoptotic trophoblasts prevents inflammation through release of anti-inflammatory IL-10. In early-onset preeclampsia, failure to efferocytose causes a build up of apoptotic trophoblasts, and promotes inflammation through release of pro-inflammatory CXCL-8 and IL-6. Targeting decidual macrophage function may be beneficial in preeclampsia. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=164 SRC="FIGDIR/small/708195v1_ufig1.gif" ALT="Figure 1"> View larger version (23K): org.highwire.dtl.DTLVardef@ca7b24org.highwire.dtl.DTLVardef@15a9289org.highwire.dtl.DTLVardef@14a6631org.highwire.dtl.DTLVardef@17b4ff1_HPS_FORMAT_FIGEXP M_FIG C_FIG

BackgroundPlacental growth and function are imperative for healthy fetal growth; data on placentas can inform research and clinical care. Measuring placental size after delivery should be easy, but current methods are hard to standardize and error prone. We developed PlacentaVision using artificial intelligence (AI)-based models, to automatically, accurately, and precisely measure placentas from digital photographs. ObjectiveWe aimed to compare placental disc morphology between gross pathology examination (human measurements) and our automated PlacentaVision model (AI measurements). MethodsPlacentaVision is a multi-site study to assess placental morphology, features, and pathologies from digital photographs. We built a large dataset of digital placenta photographs and clinical data from singleton births at three large hospitals: Northwestern Memorial (Chicago; n=24,933), UPMC Magee-Womens (Pittsburgh; n=1198) and Mbarara Regional Referral (Uganda, n=1715). Data and images were from the medical record for Northwestern, part of a biobank study for Magee, and from our prospective studies for Mbarara. We compared long and short disc axis length (defined by Amsterdam criteria) between human and AI-based PlacentaVision measurements by calculating the difference and using Bland-Altman; we stratified by site, disc shape, infant sex, and term/preterm birth. ResultsMean (SD) disc length was 19.2 (3.1) and 18.6 (3.1) cm from PlacentaVision and human measurement, respectively, with a difference of 0.57 (2.19) cm. Disc width was 16.3 (2.3) cm and 16.1 (2.4) cm from PlacentaVision and human measurement, respectively, with a difference of 0.25 (1.85) cm. Bland-Altman limits of agreement were -3.7 to 4.9 cm for length and -3.4 to 3.9 cm for width. Irregularly-shaped placentas had a greater difference between PlacentaVision and human measurements compared to those with round/oval shapes (length differences of 1.53 and 0.45 cm respectively). Further, there were length differences by site (Northwestern 0.6, Magee 0.0, and Mbarara 0.4) and gestational age at birth (preterm 0.71, term 0.53 cm), but similar results for male and female placentas. Results for width were similar to length. ConclusionsAI-based measurements were less than a cm from human measurements overall. Our findings of larger differences for irregular shapes and preterm may indicate it is difficult for humans to measure irregular or small placentas according to protocol. PlacentaVision can automate and standardize the process.

BackgroundUnderstanding the causes of the exceptional rate of evolution of the mammalian placenta is likely to aid the understanding of placental development and the aetiology of the human-specific pregnancy disorder pre-eclampsia (PE). As retroelements (REs) are often lineage-specific and known to be co-opted for placental functioning, here we consider the RE binding of GATA3 and DLX5, these transcription factors being dysregulated in PE, and their downstream consequences. MethodsMultiomics analyses identified the retroviral regulatory sequence LTR8B in the PSG gene array, as a contributor to expression diversification in the placenta. To characterize this genomic domain, we performed copy number variation analysis and whole-genome sequencing. Multiomics data was employed to identify loci that might act as an active chromatin loop boundary around the PSG region. CRISPR-Cas9 knockouts with aligned RNAseq and epigenetic mark data tested for trophoblast-specific cis-regulatory elements (CREs-enhancer and/or promoter sequences) of resulting loci. Functional assays were employed to characterize the phenotypic effects of a candidate locus. Structural analysis of PSG family members also identified an additional RE, MER65-int. RNA-seq and antibody staining was employed to consider polyadenylation and functional diversification. ResultsThe LTR8B CRE facilitates the binding of transcription factors (e.g., GATA3, DLX5, TFAP2A/C), resulting in a diversified PSG gene expression pattern within a primate-specific genomic region that exhibits high intraspecies variability. The LTR8B/PSG9 regulatory element influences other PSG family members. PSG9, unique among PSGs, produces both secreted and membrane-anchored isoforms, MER65-int providing alternative polyA signals, enabling the evolution of secreted PSG variants through the truncation of the ancestral CEACAM proteins transmembrane domain. The LTR8B/PSG9 locus regulates the differentiation of multinucleated trophoblasts (syncytialization) and, like chorionic gonadotropin and syncytin1, determines the identity of syncytiotrophoblasts. Notably, PSG9 is the most upregulated PSG in PE, with levels correlated with GATA3 and DLX5 levels. ConclusionsREs contribute to the structural and expression evolution of PSG genes, facilitating lineage-specific placental evolution. The LTR8B/PSG9 regulatory network plays a central role in syncytiotrophoblast differentiation. Given the association between DLX5/GATA3 dysregulation and elevated PSG9 levels, along with PSG9s expression in the first trimester, PSG9 shows potential as a predictive biomarker for PE.

BackgroundPregnancy requires finely tuned immune changes that support implantation, placental development, maternal-fetal tolerance, and preparation for labor, yet the normative trajectories of circulating inflammatory proteins across gestation remain poorly defined. This cross-sectional study investigates how circulating inflammatory proteins vary with gestational age in pregnancy and examines the impacts of fundamental biological characteristics, such as gravidity and fetal sex. MethodsData were drawn from 1154 pregnant individuals from six study sites of the National Institutes of Health Environmental influences on Child Health Outcomes (ECHO) Cohort. We used Olink high-throughput proteomic profiling to map cross-sectional associations between protein expression levels and gestational age at blood draw using linear, spline-based, and generalized additive modeling approaches. ResultsGeneralized additive models provided the best fit, revealing that immune changes across pregnancy were predominantly nonlinear. Sixty-one proteins showed significant associations with gestational age, with many exhibiting shared inflection points that aligned with major physiological transitions. A small subset of proteins also showed evidence of modification by fetal and maternal characteristics. CD244 displayed different gestational patterns by fetal sex, while CST5 and SIRT2 showed varied gestational associations by maternal gravidity. ConclusionThe findings highlight pregnancy as a sequence of coordinated immune transitions rather than a simple linear shift and provide one of the most detailed characterizations to date of circulating inflammatory protein dynamics across human gestation. Establishing these normative trajectories offers a crucial reference for detecting early deviations that may signal risk for pregnancy complications and for identifying biomarkers in maternal and fetal health research.

AimsThe Mediterranean diet is associated with reduced cardiometabolic risk, yet its physiological effects during pregnancy and its impact on placental metabolism remain incompletely understood. This study aimed to determine whether maternal adherence to a Mediterranean diet during pregnancy influences placental lipid metabolism and signalling pathways involved in nutrient handling, tissue remodelling, and inflammation, and to assess their relationship with pregnancy outcomes. MethodsPlacental samples and clinical outcome data were analysed from pregnant women participating in an unblinded randomized clinical trial of a Mediterranean diet intervention. Placental lipid composition was quantified and the expression of genes and signalling pathways involved in lipid metabolism, nutrient transport, inflammation, and tissue remodelling was evaluated. ResultsMaternal adherence to a Mediterranean diet during pregnancy was associated with significant alterations in placental lipid composition, including reduced C18:0 and C24:0 and increased C18:1n9c, C20:3n6, and C22:0, with lower total short-chain fatty acids and higher monounsaturated fatty acids. Placental expression of lipid metabolism regulators ALOX15 and PPAR{gamma} was reduced, alongside downregulation of AKT and p38 MAPK signalling pathways. Placentas from mothers adhering to the Mediterranean diet also showed lower expression of amino acid and glucose transporters SLC3A2 and SLC2A1, as well as altered inflammatory and extracellular matrix remodelling markers, including decreased SOCS3 and GHR and increased PAI1 and MMP3. ConclusionsMaternal adherence to a Mediterranean diet during pregnancy modifies placental lipid composition and regulates pathways involved in lipid handling, nutrient transport, inflammation, and tissue remodelling, providing insight into mechanisms linking maternal diet with placental metabolic function.

BackgroundPolycystic ovary syndrome (PCOS) is a complex endocrine disorder characterized by metabolic dysregulation. Identifying serum biomarkers can enhance our understanding of its pathophysiology. This study employs an untargeted metabolomic approach to investigate metabolic alterations in PCOS. MethodsSerum samples were collected from 71 women with PCOS and 54 healthy controls. Untargeted Metabolomic profiling was performed using liquid chromatography-mass spectrometry (LC-MS) to identify differentially abundant metabolites. Pathway analysis was conducted to identify key metabolic disruptions, and correlations between identified metabolites and clinical parameters were assessed. ResultsThe metabolomics analysis identified 24 upregulated and 17 downregulated metabolites in PCOS compared with controls. These metabolites mainly include glycerophospholipids, fatty acids, sphingolipids, peptides, ceramides, and steroids. Pathway analysis indicated that these metabolites were enriched in pathways including bile acid biosynthesis, glycerolipid metabolism, tryptophan metabolism, the citric acid cycle, and fatty acid metabolism. Increased levels of branched-chain and aromatic amino acids suggested potential links to insulin resistance. Disruptions in bile acid metabolism pointed to altered gut microbiome interactions. Additionally, metabolites related to oxidative stress and mitochondrial function indicated metabolic dysfunction. Correlation analyses revealed associations between altered metabolites and clinical markers such as insulin resistance and androgen levels. ConclusionThis study reveals distinct serum metabolic alterations in PCOS, emphasizing their association with insulin resistance and inflammation. These findings highlight the potential of metabolomics to identify novel biomarkers for early diagnosis and to develop targeted therapeutic strategies.

ObjectivesCD4+ T cells play key roles in regulating immune responses during pregnancy, therefore we aimed to understand the CD4+ T cell surface proteome and transcriptome during pregnancy. MethodsCD4+ T cells were analysed in blood and decidua from term-pregnancies (>37 weeks), and non-pregnant blood. >350 surface proteins were screened via flow cytometry, and transcriptomes were analysed using single-cell RNA sequencing with >130 CITE-seq barcoded antibodies. ResultsSurface protein screening identified changes to ILT4/CD85d, CD9, IFN-{gamma} receptor {beta}-chain, CX3CR1 and CCR5 in the pregnant blood and decidual CD4+ T cells. CX3CR1 and CCR5 had the highest expression on the effector-memory T cell (TEM) subset in the blood, with expression consistent across subsets in decidua. CD126/IL-6R was lower in pregnant blood and decidual CD4+ T cells, while scRNAseq identified enrichment in the IL-6R signalling pathway in naive CD4+ T cells in pregnant blood. Both sIL-6R and IL-6 concentrations were increased in plasma during pregnancy, suggesting perturbations to the IL-6/IL-6R signalling axis. Meanwhile, decidual CD4+ T cells had increased expression of transcription factor RUNX3 in the CD69+ tissue-resident-like subset. ConclusionsOur findings demonstrate altered molecular expression in CD4+ T cells during pregnancy. This provides important mechanistic insight of their adaptation and regulation during placental development, which may drive placental dysfunction or pregnancy complications including preeclampsia, fetal growth restriction and stillbirth. These new data may inform future studies that focus on determining the significance of differentially- expressed immune features in pregnancy to identify potential targets for immune modulation to treat pregnancy complications and infections.

The placenta is an important producer of hormones essential for fetal development. Insulin-like growth factor 1 (IGF1) is a hormone primarily produced in the placenta in utero and is an important regulator of various developmental pathways including those in heart and liver. Embryonic disruptions in these developmental pathways can lead to lifelong changes and are often associated with chronic disease. Further, the placenta has sex-specific impacts on offspring development in response to hormonal changes. Previous work has shown that altered expression of Igf1 in the placenta results in sexually dimorphic changes to placental and fetal developmental outcomes. Here, mice underwent placental-targeted CRISPR manipulation for overexpression or insufficiency of Igf1. At the time of euthanasia, heart and liver tissues were collected and weighed. This dataset presents the heart and liver mass of these postnatal mice. There was a significant increase in proportional heart mass in placental Igf1 overexpression adult female mice and a trending increase in proportional liver mass in placental Igf1 overexpression adult male mice. No significant changes in heart or liver mass were seen in placental Igf1 insufficiency mice. These data provide insight into the impact of placental IGF1 on long-term heart and liver development. VALUE OF THE DATAO_LIThere is significant evidence for the role of early genetic changes in influencing long-term health outcomes, as laid out by the Developmental Origins of Health and Disease (DOHaD) hypothesis [1]. According to this hypothesis, genetic factors may be critical in determining the timing and severity of chronic disease, with varying effects based on sex. Genetics of the placenta, which makes up the maternal-fetal interface, plays an important role in modulating exposures associated with the DOHaD hypothesis [2]. C_LIO_LIThe placenta provides essential hormones to the fetus during pregnancy [3]. Placental changes are associated with the development of chronic disease and metabolic changes [4,5]. Disruptions in placental functions have been linked to defects including congenital heart disease which affects approximately 40,000 babies each year in the United States [6,7]. The placenta is also linked to metabolic diseases later in life such as nonalcoholic fatty liver disease, a chronic liver disease which has increased in prevalence by over 50% from 1990 to 2019 [5,8,9]. C_LIO_LIInsulin-like growth factor 1 (IGF1) is a placentally produced factor that regulates pathways involved in fetal growth and development and has been shown to be critical in growth of the heart and liver [10-13]. Despite the importance of the placenta and IGF1 in heart and liver growth, specific links between placental Igf1 expression and developmental outcomes remain understudied. C_LIO_LIPlacental function is known to have sex-specific impacts on fetal growth [14]. Further, Igf1 expression in the placenta is linked to differences in offspring developmental outcomes by sex [15]. Placental Igf1 overexpression and insufficiency affect offspring in a sexually dimorphic manner. IGF1 is a hormone and interacts with sex hormones, likely contributing to sex differences in response to changes in Igf1 expression [16]. Further research, including the work done to produce this dataset, may help clarify the role of placenta Igf1 expression in fetal outcomes, specifically regarding sex differences. C_LIO_LIThe data presented in this paper provide insight into the effects of placental Insulin-like growth factor 1 overexpression and insufficiency on adult heart and liver mass. More research is needed to understand specific functional impacts on these organs. Further, understanding the effects of placental genetic changes may support the development of future treatments and therapies for placental insufficiencies. C_LI

The endometrium, the inner lining of the uterus, is a dynamic tissue that undergoes precise molecular and structural changes to achieve a receptive state capable of supporting embryo implantation. Although the uterine environment was long considered sterile, molecular studies have detected microbial signals and bioactive compounds that may influence endometrial function. Endometrial epithelial organoids (EEOs) provide a three-dimensional in vitro model that recapitulates the architecture, polarity, and hormonal responsiveness of native endometrial tissue. This study aimed to elucidate how bacterial-derived compounds, including D-lactate (D-lac), commonly associated with Lactobacillus communities, and lipopolysaccharides (LPS), a component of Gram-negative bacteria, affect the transcriptomic profile of the endometrial epithelium under a hormonally induced receptive state. EEOs were exposed to different concentrations of these compounds, and relative metabolic activity was monitored through resazurin-based assays, revealing no significant alterations across the conditions tested. Transcriptomics analysis of hormonally stimulated EEOs, mimicking the mid-secretory phase, revealed that D-lac modulated genes related to epithelial development, tissue remodelling and growth regulation, whereas LPS influenced genes associated with inflammatory signalling and immune response. While key markers of receptivity remained largely stable, small transcriptional changes suggest that microbial signals may modulate the functional balance of the receptive endometrium. These findings highlight a modulatory role of microbial signals on endometrial epithelial function and demonstrate that EEOs are a robust platform for exploring host-microbe interactions in the uterus, offering new insights into the mechanisms underlying uterine receptivity.

Maternal pancreatic {beta}-cells undergo functional and structural changes to adapt to increased metabolic demands during pregnancy. Lactogen signaling via the prolactin receptor (PRLR) contributes to these adaptations by increasing {beta}-cell mass, insulin transcription and glucose-stimulated insulin secretion[1-4]. In other lactogen-responsive tissues such as the mammary glands and specific hypothalamic nuclei, gestation induces epigenetic changes, some of which persist long after birth[5, 6]. We have previously found that prolactin treatment in islets regulates the expression of epigenetic modifiers[7, 8]. However, whether lactogen signaling in {beta}-cells mediates epigenetic changes to regulate chromatin accessibility has not been examined. Therefore, our objective was to determine whether PRLR signaling alters chromatin accessibility of {beta}-cells to facilitate transcriptional regulation. Using single-cell ATAC-sequencing, we identified differentially accessible regions (DARs) in {beta}-cells which had 718 overrepresented motifs following prolactin treatment of murine islets. Validating this approach, these included motifs bound by established PRLR signaling effectors such as the STAT family of transcription factors (TFs). Using RNA-sequencing we identified transcriptional changes in 41 TFs whose motifs were overrepresented in DARs, including several previously linked to PRLR signaling within {beta}-cells, including Myc, Mafb and Esr1. Importantly, we also identified TFs not previously associated with PRLR signaling, including OVOL2 an established regulator of epigenetic landscape within cells. OVOL2 is a transcription factor involved in EMT inhibition and energy homeostasis with unknown roles in pancreatic {beta}-cells. Here, we establish that OVOL2 acts as a negative regulator of lactogen-dependent effects on {beta}-cell proliferation, establishing a novel regulator of PRLR signaling.

BackgroundPreterm birth is one of the most significant etiologies for neonatal morbidity and mortality. Preterm delivery is classified as iatrogenic preterm delivery and spontaneous preterm delivery. The role of placental pathology is studied. Materials and methodsWe have previously collected placental pathology data with maternal pregnancy and neonatal birth data, and we investigated the role of placental pathology in preterm delivery. Preterm delivery was categorized as late preterm (34-36 weeks), moderate preterm (32 to 33 weeks), and extreme preterm (less than 32 weeks). Neonatal, maternal, placental gross and histologic features, and laboratory parameters were compared across groups using chi-square tests for categorical variables and Kruskal-Wallis tests for continuous variables using various programs in R-package. ResultsTotally 3723 singleton placentas including 3307 term (88.8%) and 416 preterm placentas (11.2%) were examined with maternal pregnancy data and neonatal birth data. There were 614 placentas from patients with preeclampsia/pregnancy induced hypertension (PRE/PIH) (16.5%). Preterm delivery showed significantly lower fetal birth weight, placental weight, and fetal-placental ratio (all p<0.01). Maternal Black race was more prevalent in preterm groups (up to 50.8% in extreme preterm vs. 33.2% in term, p<0.01). Preterm delivery was statistically associated with PRE/PIH and maternal vascular malperfusion (MVM), maternal and fetal inflammatory response (MIR and FIR), and increased pre-delivery white blood count (WBC). Extreme preterm deliveries were markedly associated with intrauterine fetal death (27.5%, p<0.01) and MIR/FIR (56.7%, p<0.01). After excluding PRE/PIH patients, preterm delivery was statistically associated with MIR/FIR and increased WBC. ConclusionsDistinct clinicopathologic profiles exist across preterm subcategories, with MVM predominating in late/moderate preterm and severe pathologic features (including fetal demise and acute inflammation) in extreme preterm. These findings highlight heterogeneous etiologies of preterm delivery.

BackgroundPolycystic ovary syndrome (PCOS) is a prevalent endocrine disorder with substantial metabolic comorbidities, including obesity, insulin resistance, and dyslipidaemia. Beyond their classical digestive role, bile acids (BAs) function as metabolic signalling molecules that regulate glucose and lipid homeostasis and inflammation through receptors such as the farnesoid X receptor (FXR) and Takeda G-protein receptor 5 (TGR5). However, bile acid dysregulation in PCOS remains inadequately characterised. MethodsTargeted serum bile acid profiling was performed in PCOS (n = 86) and healthy controls (n = 60) using a validated LC-MS/MS method. Individual bile acids were quantified and classified into primary, secondary, and conjugated forms. Multivariate analyses were applied to identify group-level metabolic patterns. Functional bile acid indices reflecting hepatic conjugation and microbial transformation were calculated. Correlation analyses assessed between bile acids and clinical variables. ResultsPCOS women exhibited significantly higher serum levels of cholic acid and conjugated bile acids. Multivariate analyses revealed distinct bile acid signatures differentiating PCOS from controls, with deoxycholic acid, taurocholic acid, and cholic acid contributing most strongly to group separation. Pathway-based indices demonstrated an expanded conjugated bile acid pool, an increased conjugated-to-unconjugated bile acid ratio, and altered secondary-to-primary bile acid balance in PCOS. Several bile acids showed significant associations with androgen levels and gonadotropin ratios. ConclusionPCOS is characterised by coordinated alterations in bile acid metabolism, including hepatic synthesis, conjugation, and gut microbial transformation, highlighting bile acids as integrative metabolic signals linking endocrine and metabolic dysfunction in PCOS.

The human fallopian tube plays a critical role in reproductive biology, yet the structural organization and immune repertoire of this tissue remain incompletely characterized. Here, we performed an in-depth analysis of human fallopian tube tissue from women of reproductive age across three distinct anatomical regions (isthmus, ampulla, and fimbriae) across the menstrual cycle. Using antibody-based imaging for EPCAM, CD8A, and CD20 together with automated image analysis, the epithelial thickness and spatial distribution of T and B lymphocytes was assessed. No significant differences in epithelial thickness were observed between proliferative and secretory phases within any tubal region. In contrast, significant regional differences were identified, with the epithelium being thickest in the isthmus and thinnest in the ampulla. Both CD8A+ T lymphocytes and CD20+ B lymphocytes were detected throughout the fallopian tube, and a strong correlation between T and B lymphocyte abundance was observed across patients. Spatial analysis further revealed that both lymphocyte populations were preferentially localized within the mucosal compartment adjacent to the lumen. Notably, intraepithelial B lymphocytes were identified throughout the fallopian tube. Together, these findings provide new insight into epithelial organization and immune cell distribution in the human fallopian tube, highlighting the complexity of the tubal immune microenvironment and its potential relevance for reproductive biology.

BackgroundLow-dose aspirin (LDA) reduces preeclampsia (PE) risk by up to 40%, yet its molecular effects on chorion trophoblast cells (CTCs) a fetal membrane lineage at the feto-maternal interface remain obscure. CTCs form a structural and immunoregulatory barrier whose dysfunction drives inflammation-associated membrane pathology in PE. Extracellular vesicles (EVs) released by CTCs may encode cellular stress and adaptation states, offering a molecular window into aspirins timing-dependent effects on PE risk modification. MethodsHuman CTCs were challenged with cigarette smoke extract (CSE) to model oxidative stress-driven PE pathology. Two paradigms were tested: (1) prophylactic aspirin (4 and 40 {micro}g/ml) before and/or flanking CSE, and (2) therapeutic aspirin after CSE challenge. EVs were isolated via ultracentrifugation and size exclusion chromatography, characterized by nanoparticle tracking and immunoblotting, and profiled by quantitative mass spectrometry. Network pathway analysis and machine-learning biomarker selection defined EV-encoded molecular states. ResultsCTC-derived EVs from CSE-exposed cells carried a PE-like proteomic signature marked by suppressed VEGF/ECM remodeling, activated TNF-p53 apoptotic signaling, and heightened inflammation. Prophylactic low-dose aspirin shifted EV cargo toward preserved angiogenic capacity (VEGFA, COL1A1, MMP14) with attenuated apoptotic and NF-{kappa}B signatures. High-dose aspirin produced broad transcriptional suppression without vascular benefit in EVs. Therapeutic aspirin partially rescued injury-associated EV cargo but failed to restore angiogenic signatures. Machine-learning analysis of EV proteomes identified a prophylactic biomarker panel anchored by HSPA8, SERPINF2, COL4A1, and PLOD1, linked to angiogenic recovery and redox balance. ConclusionsCTC-derived EV proteomic signatures capture dose-and timing-dependent aspirin effects, positioning the chorion as a pharmacological "secondary responder" favoring cellular resilience over classical anti-inflammatory suppression. EV-based molecular profiling might offer a framework for stratifying aspirin responders from non-responders toward personalized PE prevention.

Mothers milk is known for its crucial roles in infant health and development. Probably the most commonly studied effects of milk are those on an infants intestinal barrier, metabolism, and immunity. While these functions of milk were mostly attributed to its protein and fat content, recent evidence points to a potential role of milk microRNAs in these processes. MicroRNAs are small non-coding RNAs that can fine-tune gene expression at the post-transcriptional level. Human milk (HM) is rich in microRNAs, which are mainly found associated with milk extracellular vesicles (EVs). HM microRNAs are proposed to transfer from mother to infant via breastfeeding and execute gene regulatory functions in infant cells. For microRNAs to be able to act as "genetic programmers" rather than mere nutritional molecules, they should resist digestion in the infants gastrointestinal tract. Milk EVs are believed to protect microRNAs against degradation and facilitate their delivery to the cells. Here, we used two lots of pasteurized HM that were originally destined for human milk banks. We showed that HM contains different populations of EVs with different physicochemical properties, similar to those previously identified in commercial bovine milk. We also showed that these EVs, which are often discarded, contain the majority of HM microRNAs. Finally, we showed that three highly abundant milk microRNAs resisted differentially to infants simulated digestion conditions, with a relatively small number of microRNAs surviving a two-hour digestion. Milk microRNA copy numbers surviving digestion may be too low to influence gene expression in infant cells. HighlightsO_LIPasteurized HM contains heterogeneous populations of EVs. C_LIO_LIThese EVs associate with the majority of HM microRNAs. C_LIO_LIDifferent microRNAs show varying stability during infant digestion. C_LIO_LIThe copy number of milk miR-148a-3p surviving digestion might be too low to influence gene expression in infant cells. C_LI

The uterus requires energy for sustained contractility during labor, to deliver the fetus and diminish the risk of postpartum hemorrhage. Our objective was to define energy requirements and assess metabolic flexibility in quiescent and contractile myometrial cells. Cells were treated with oxytocin to stimulate myometrial contractility. We found that myometrial cells rely on oxidative phosphorylation during quiescence and, when treated with oxytocin, can adapt to higher energy demands by shifting their energy production to glycolysis. Treatment with mitochondrial oxidation inhibitors revealed that in quiescent myometrial cells basal oxygen consumption rate decreased when treated with glucose oxidation inhibitor UK5099, but not the long chain fatty acid oxidation inhibitor etomoxir or the glutamine oxidation inhibitor BPTES. In oxytocin treated myometrial cells, this decrease was also observed upon BPTES treatment in addition to UK5099, suggesting that contractile myometrial cells can shift energy production from glucose to glutamine. Functionally, myometrial contractility was significantly reduced by UK5099 but not by etomoxir, further indicating dependence on glucose utilization.

Human embryo implantation, occurring approximately one week after fertilization, remains poorly understood due to ethical and technical limitations of in vivo investigation. To overcome these barriers, and model this critical developmental event, encompassing peri- and early post-implantation stages, we used an in vitro embryo attachment model composed of donor-derived endometrial epithelial cells forming an open-faced endometrial layer (OFEL) and human stem cell-derived blastoids recapitulating human day 5 blastocysts in peri-implantation model. Following attachment, developmental progression was further investigated on laminin-coated substrates to capture early post-implantation dynamics. Despite its central role as the primary endocrine signal of early pregnancy, human chorionic gonadotropin (hCG) remains largely uncharacterized in this context. Here, we describe the transcriptomic profile of blastoid-endometrial co-cultures relative to OFEL alone, identifying CGA and CGB3/5/8 as among the most strongly upregulated genes following blastoid attachment to hormonally stimulated OFEL. Consistent with these findings, immunoassays and luteinizing hormone/choriogonadotropin receptor (LHCGR) activation assays of conditioned media confirmed the secretion of heterodimeric, biologically active hCG and its free subunits in co-cultures, but not in endometrial layers alone. Notably, the hyperglycosylated hCG heterodimer was the predominant isoform detected. Co-culture with the endometrial component significantly increased hCG secretion compared with blastoids cultured alone, an effect further enhanced by hormonal priming in the peri-implantation model. Collectively, these findings indicate that a hormonally primed endometrial environment not only promotes blastoid attachment but also amplifies embryonic hCG production and bioactivity, underscoring the importance of maternal endocrine cues in early embryo-endometrium communication. Furthermore, our peri- and early post-implantation models recapitulate key aspects of reciprocal endocrine signaling between embryonic and endometrial tissues, providing a tractable experimental framework to investigate embryo-endometrium crosstalk.

BackgroundIn the United States over 10% of all neonates are born premature (less than 37 weeks gestational age), and many face complications related to prematurity, including necrotizing enterocolitis (NEC). NEC is the most deadly gastrointestinal disease and the leading cause of death in preterm neonates, with up to 50% mortality. Since there is no cure for NEC, prevention is the best strategy. Enhancing our understanding of intestinal epithelial cell (IEC) responses to NEC damage will provide novel therapeutic targets to prevent NEC. Published evidence suggests that the RNA-binding protein insulin-like growth factor 2 mRNA binding protein 1 (IMP1) plays roles in intestinal development, barrier function, and intestinal repair. Notably, however, roles for IMP1 in NEC are not defined. Goblet cells produce protective mucus in the intestine, and their mature function is dependent on the transcription factor Spdef. Emerging evidence suggests that goblet cell mucus complexity impacts barrier function and inflammation susceptibility. This study aimed to define the role of IMP1 in NEC pathogenesis using neonatal human enteroids and a model of NEC-like intestinal injury in mice with IEC-specific Imp1 overexpression and loss. HypothesisIMP1 expression is protective in NEC. MethodsThis study used mice with intestinal epithelial Imp1 overexpression or loss and corresponding wild-type controls. At post-natal day 3, mice of both sexes were randomly assigned to control or NEC groups. NEC was induced with the well-established experimental NEC-like intestinal injury model that includes stress, formula feeding, and hypoxia. Imp1 effects on experimental NEC were assessed using RNA sequencing, western blotting, and immunostaining. ResultsInflammatory bacteria induced IMP1 expression in neonatal human enteroids. Mice with Imp1 overexpression incur worse intestinal damage during NEC. Pathway analysis of RNA sequencing data revealed a significant enrichment of the Spdef transcriptional network in Imp1IEC-OE during NEC. This included significant upregulation of Spdef target genes such as Agr2 (in NEC WT: 617.8 {+/-} 33.56 vs Imp1IEC-OE: 812.9 {+/-} 111.3, p=0.02) and Fut2 (in NEC WT: 219.4 {+/-} 34 vs Imp1IEC-OE: 396.6 {+/-} 62.9, p=0.05). In silico analysis predicted Imp1 binding to Spdef and mucus glycosylation mediator mRNAs. Although genotype did not affect goblet cell number, Imp1IEC-OE mice with NEC exhibited significant increases (p0.05) in Spdef protein, genes responsible for goblet cell function (Spink4, Klk1, Tspg1) and mucus glycosylation (Gcnt3, B3gnt7, Qsox1). Ultimately, Imp1 overexpression led to increased mucus fucosylation during NEC. ConclusionOur data indicate that during NEC, upregulation of Imp1 promotes goblet cell function via Spdef, including enhanced goblet cell maturation and mucus fucosylation. NEW AND NOTEWORTHYExpression of the RNA-binding protein Imp1 is enhanced in neonatal human enteroids in response to inflammatory bacteria. Imp1 regulates goblet cell function in response to early intestinal inflammation in a mouse model of necrotizing enterocolitis. Specifically, Imp1 promotes a Spdef transcriptional program by upregulating Spdef, resulting in elevated gene expression of Spdef target genes. Additionally, Imp1 increases the gene expression of (1,2)fucosyltransferase, Fut2, and subsequently, production of fucosylated mucus marked by UEA1. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=178 SRC="FIGDIR/small/702645v1_ufig1.gif" ALT="Figure 1"> View larger version (63K): org.highwire.dtl.DTLVardef@189f615org.highwire.dtl.DTLVardef@7aeeedorg.highwire.dtl.DTLVardef@dc258corg.highwire.dtl.DTLVardef@1252b98_HPS_FORMAT_FIGEXP M_FIG C_FIG

Equine endometrosis is a major cause of subfertility in mares characterized by fibrotic remodeling of the endometrium. Although transforming growth factor beta 1 (TGF-{beta}1) is implicated in fibrogenesis, the relationship between endometrosis severity and transcripts associated with tissue maintenance and proliferation remains incompletely defined. Present study evaluated endometrial mRNA expression of IGF1, MKI67, TGFB1, and ACTA2 in relation to endometrosis severity and defined histopathological features. Forty-seven endometrial samples were graded according to the modified Kenney and Doig (KD) categories. Relative mRNA expression was quantified by RT-qPCR and histopathology was extended using a standardized feature-based assessment. TGFB1 mRNA expression was higher in category I+ than in categories I and III (p = 0.041) and in samples with glandular basal lamina disruption (p = 0.020). MKI67 mRNA expression was lower in samples with luminal epithelial erosion (p = 0.049). IGF1 mRNA expression correlated negatively with KD category ({rho} = -0.401, p = 0.015), glandular degeneration ({rho} = -0.340, p = 0.043), overall inflammatory infiltration ({rho} = -0.387, p = 0.020), lymphocytic infiltration ({rho} = -0.426, p = 0.010), and neutrophilic infiltration ({rho} = -0.448, p = 0.006). MKI67 correlated positively with ESR1 ({rho} = 0.887, p < 0.001). These findings indicate that early endometrosis-compatible lesions are associated with increased TGFB1 transcription and that epithelial damage is accompanied by reduced MKI67 expression. The inverse associations between IGF1 expression and both lesion severity and inflammatory infiltration support a link between progressive histopathological changes and reduced expression of a growth factor involved in tissue maintenance.