| Literature DB >> 27047385 |
Carlos A Escudero1, Kurt Herlitz2, Felipe Troncoso2, Jesenia Acurio2, Claudio Aguayo3, James M Roberts4, Grace Truong5, Gregory Duncombe5, Gregory Rice6, Carlos Salomon7.
Abstract
Preeclampsia is a syndrome characterized by hypertension during pregnancy, which is a leading cause of morbidity and mortality in both mother and newborn in developing countries. Some advances have increased the understanding of pathophysiology of this disease. For example, reduced utero-placental blood flow associated with impaired trophoblast invasion may lead to a hypoxic placenta that releases harmful materials into the maternal and feto-placental circulation and impairs endothelial function. Identification of these harmful materials is one of the hot topics in the literature, since these provide potential biomarkers. Certainty, such knowledge will help us to understand the miscommunication between mother and fetus. In this review we highlight how placental extracellular vesicles and their cargo, such as small RNAs (i.e., microRNAs), might be involved in endothelial dysfunction, and then in the angiogenesis process, during preeclampsia. Currently only a few reports have addressed the potential role of endothelial regulatory miRNA in the impaired angiogenesis in preeclampsia. One of the main limitations in this area is the variability of the analyses performed in the current literature. This includes variability in the size of the particles analyzed, and broad variation in the exosomes considered. The quantity of microRNA targets genes suggest that practically all endothelial cell metabolic functions might be impaired. More studies are required to investigate mechanisms underlying miRNA released from placenta upon endothelial function involved in the angiogenenic process.Entities:
Keywords: endothelial dysfunction; exosomes; microRNAs; preeclampsia
Year: 2016 PMID: 27047385 PMCID: PMC4796029 DOI: 10.3389/fphys.2016.00098
Source DB: PubMed Journal: Front Physiol ISSN: 1664-042X Impact factor: 4.566
Figure 1Extracellular vesicles released from placenta in normal pregnancy. Extracellular vesicles (EVs) include exosomes, microvesicles, and apoptotic bodies all with different size and origin. With adequate blood flow from the mother to the placenta resulting in normal oxygen tension and glucose (nutrient) concentration, a limited number of EVs are shed from the placenta into the maternal circulation. Cargo and function of the EVs are not completely understood. However, they may constitute a common language between feto-placental tissue and mother with interchange of information leading to normal blood flow supply (from the mother to the placenta). Feto-placental extracellular vesicles may also modulate maternal endothelial cell function. The cargo of exosomes, of endosomal origin, including proteins and nucleic acids, such as microRNAs may be “planned” by the placenta. This cargo controls endothelial cell protein expression leading modifying multiple pathways including among others metabolic and survival-death signals. Appropriate communication allows successful pregnancy and fetal development.
Figure 2Exosomes released from the placenta: focus on preeclampsia. As in normal pregnancy extracellular vesicles (EVs) include exosomes, microvesicles, and apoptotic bodies all with different size and origin are present. However, abnormal placentation secondary to reduced trophoblast invasion and failed remodeling of spiral arteries leads to reduced oxygen tension, impaired nutrient transport and exposure to increased shear stress for the syncitiotrophoblast. Under these stressful conditions more EVs are shed from the placenta into the maternal circulation. Messages carried by in the EVs are not completely understood; however, it is proposed that they cause endothelial dysfunction with associated elevation of maternal blood pressure. This figure indicates some of miscommunication generated by the placenta via exosomes and its cargo, microRNAs. Potential effects upon maternal endothelial cells by the family of miR-126, miR-17, miR-18, miR-19, miR-92, and miR-210 are detailed in the manuscript. In preeclampsia multiple pathways may be impaired including metabolic and death signaling by this microRNAs among others.
Summary of studies of exosomes and microparticles in preeclampsia.
| Exosomes | Endocytic pathway | 40–120 | Syncytin-2 lower in placental exosomes | Vargas et al., |
| 63 proteins uniquely present in CTB-binding vesicles, and 80 in AV-binding vesicles in preeclamptic samples. No description of main biological pathways | Tan et al., | |||
| Total exosomes concentration and placenta-derived exosomes were elevated in plasma at first trimester of pregnancy (i.e., 11–14 weeks) in women who develop PE later in pregnancy | Salomon et al., | |||
| 29 proteins associated with multiple biological functions including complement and coagulation cascade were differentially expressed in umbilical blood exosomes | Jia et al., | |||
| Exosomes positive for AQP2 were isolated from urine obtained from patients with PE | Nielsen et al., | |||
| Microvesicles or shedding vesicles | Plasma membrane | 50–1000 | Uncharecterized microvesicles higher in plasma | Dragovic et al., |
| Elevated tissue factor within STBM | Gardiner et al., | |||
| Elevated STBM in early and late onset preeclampsia | Chen et al., | |||
| Elevated levels of DNA-associated placental microparticles | Orozco et al., | |||
| Alteration in lipids including higher PPTS and lower PPA, PPDG, and GM3. | Baig et al., | |||
| Proteomic analysis of STBM. Major biological functions altered: cell death and survival, cellular assembly and organization, immune response, lipid metabolism, and carbohydrate metabolism | Baig et al., |
PPTS, Phosphatidylserine; PPA, phosphatidic acid; PPDG, phosphatidylglycerol; GM3 ganglioside mannoside 3; STBM, syncytiotrophoblast microvesicles; CTB, Cholera toxin B chain; AV, Annexin V; AQP2, Aquaporin-2.
miRNAs incorporated into exosomes that targeted endothelial cells modulating angiogenesis.
| miR-21 | Human lung cancer | HBEC | VEGF | Liu et al., |
| miR-17, miR-20a, miR023a, miR-23b, miR-30b, miR-30c, miR-126-3p, miR-132 | Mice cardiomyocytes | HUVEC | Multiple target gene | Garcia et al., |
| miR-23, miR-320b | MCF7 | EA.hy926 | PLAU, AMOTL1, NRP1, ETS2 | Hannafon et al., |
| miR-126 | HUVEC | HUVEC | SPRED1, VECAM1, RGS16, CXCL12 | Zernecke et al., |
| miR-132 | CPC | HUVEC | RasGAp-p120 | Barile et al., |
| miR-135b | HR-MM | HUVEC | FIH-1 | Umezu et al., |
| miR-143 | PASMC | PAEC | Deng et al., | |
| miR-150 | THP-1 | HMEC-1 | c-Myb | Zhang et al., |
| miR-320 | Cardiomyocytes | CEC | IGF1, HSP20, Ets2 | Wang X. et al., |
| miR142-3p, miR-223-3p | BMDM | iECL | Multiple miRNAs | Squadrito et al., |
HBEC, Human bronchial epithelial cells; HUVEC, human umbilical endothelial cells; CPC, cardiac progenitor cells; CEC, cardiac endothelial cells; PASMC, Pulmonary artery smooth muscle cells; PAEC, pulmonary aortic endothelial cells; HR-MM, hypoxia resistant myelomas cell lines (RPMI8226); BMDM, Bone marrow derived macrophages; iECL, immortalized endothelial-like cells from the hearth of Dicerfl∕fl mice.
Summary of studies of miRNAs in preeclampsia.
| miR-1301, miR-223, and miR-224 | ↓ | Leptin gene | Weedon-Fekjaer et al., |
| miR-92b, miR-197, miR-342-3p, miR-296-5p, miR-26b, miR-25, miR-296-3p, miR-26a, miR-198, miR-202, miR-191, miR-95, and miR-204 | ↑ | Multiple targets in several signaling pathways, adherent junction, focal adhesion, and regulation of the actin cytoskeleton | Choi et al., |
| miR-21 and miR-223 | ↓ | ||
| hsa-miR-v5 | ↓ | Not reported | Lazar et al., |
| miR-17, -20a, and -20b | ↑ | EPHB4 and Eph-B2 | Wang W. et al., |
| miR-20a, miR-210, miR-451, miR-518c, and miR-526b | ↑ | HSD17B1 | Ishibashi et al., |
| miR-125b-1-3p | ↑ | S1PR1 | Li Q. et al., |
| miR-210 | ↑ | KCMF1 | Luo et al., |
| miR-210 | ↑ | Iron sulfur cluster | Muralimanoharan et al., |
| miR-210 | ↑ | ERK signaling | Anton et al., |
| ‘miR-18a, miR-19b1, and miR-92a1 | ↓ | Smad2 (miR-18a) | Xu et al., |
| miR-210 | ↑ | ||
| miR-155 | ↑ | eNOS | Li X. et al., |
| pri-miR-34a | ↑ | SERPINA3 | Doridot et al., |
| miR-101 | ↓ | ERp44 | Zou et al., |
| miR-195 | ↓ | ActRIIA | Bai et al., |
| miR-106a and −19b | ↑ | hCYP19A gene and hGCM1 | Kumar et al., |
| miR-376c | ↓ | ALK5 and ALK7 | Fu et al., |
| miR-20a | ↑ | FOXA1 | Wang Y. et al., |
| miR-29b | ↑ | MCL1, MMP2, VEGFA and ITGB1 | Li H. et al., |
| microRNA-494 | ↑ | CDK6, CCND1, VEGF | Chen et al., |
| miR-136, miR-495, miR-16, miR-29b and miR-494 | ↑ | Multiple targets involved in angiogenesis (VEGF), inflammation, differentiation of MSC | Zhao et al., |
| miR-126 | ↓ | PIK3R2 | Yan et al., |
| miR-16 | ↑ | CCNE1, VEGF | Wang Y. et al., |
| miR-1233 | ↑ | Not reported | Ura et al., |
| C19MC microRNAs (miR-516-5p, miR-517 | ↑ | Not reported | Hromadnikova et al., |
| miR-141, miR-144, miR-221, and miR-29a | ↑ | Not reported | Li et al., |
| miR-516-5p, miR-517 | ↑ | Not reported | Hromadnikova et al., |
| miR-24, miR-26a, miR-103, miR-130b, miR-181a, miR-342-3p, and miR-574-5p | ↑ | Not reported | Wu et al., |
Data since 2012. CDK6, Cyclin-dependent kinase 6; CCND1, Cyclin D1; VEGF, Vascular endothelial growth factor; S1PR1, Sphingosine-1-phosphate receptor 1; FOXA1, Forkhead box protein A1; KCMF1, Potassium channel modulatory factor 1; eNOS, endothelial nitric oxide synthase; ERp44, Endoplasmic reticulum protein 44; Smad2, SMAD family member 2; SERPINA3, Serpin peptidase inhibitor, clade A (alpha-1 antiproteinase, antitrypsin); member 3, ERK, Extracellular-signal-regulated kinases; hCYP19A, Human aromatese gene; GCM1, transcription factor glial cells missing 1; PIK3R2, phosphoinositide-3-kinase regulatory subunit 2; ALK5 and ALK7, Activin receptor-like kinase 5 and ALK7; CCNE1, Cyclin E1; ActRIIA, Type II receptor for Activin A and Nodal; MCL1, myeloid cell leukemia sequence 1; MMP2, matrix metallproteinase 2; ITGB1, integrin β1; EPHB4, EPH receptor B4; EphB2, Ephrin-B2; HSD17B1, hydroxysteroid (17-β) dehydrogenase 1;
, Report reduce trophoblast invasion;
, Enhance trophoblast apoptosis;
, Predictive role for preeclampsia;
, From the opposite arm of the precursor.