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Gallo DM, Fitzgerald W, Romero R, Gomez-Lopez N, Gudicha DW, Than NG, Bosco M, Chaiworapongsa T, Jung E, Meyyazhagan A, Suksai M, Gotsch F, Erez O, Tarca AL, Margolis L. Proteomic profile of extracellular vesicles in maternal plasma of women with fetal death. J Matern Fetal Neonatal Med 2023; 36:2177529. [PMID: 36813269 PMCID: PMC10395052 DOI: 10.1080/14767058.2023.2177529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2023]
Abstract
OBJECTIVES Fetal death is a complication of pregnancy caused by multiple etiologies rather than being the end-result of a single disease process. Many soluble analytes in the maternal circulation, such as hormones and cytokines, have been implicated in its pathophysiology. However, changes in the protein content of extracellular vesicles (EVs), which could provide additional insight into the disease pathways of this obstetrical syndrome, have not been examined. This study aimed to characterize the proteomic profile of EVs in the plasma of pregnant women who experienced fetal death and to evaluate whether such a profile reflected the pathophysiological mechanisms of this obstetrical complication. Moreover, the proteomic results were compared to and integrated with those obtained from the soluble fraction of maternal plasma. METHODS This retrospective case-control study included 47 women who experienced fetal death and 94 matched, healthy, pregnant controls. Proteomic analysis of 82 proteins in the EVs and the soluble fractions of maternal plasma samples was conducted by using a bead-based, multiplexed immunoassay platform. Quantile regression analysis and random forest models were implemented to assess differences in the concentration of proteins in the EV and soluble fractions and to evaluate their combined discriminatory power between clinical groups. Hierarchical cluster analysis was applied to identify subgroups of fetal death cases with similar proteomic profiles. A p-value of <.05 was used to infer significance, unless multiple testing was involved, with the false discovery rate controlled at the 10% level (q < 0.1). All statistical analyses were performed by using the R statistical language and environment-and specialized packages. RESULTS Nineteen proteins (placental growth factor, macrophage migration inhibitory factor, endoglin, regulated upon activation normal T cell expressed and presumably secreted (RANTES), interleukin (IL)-6, macrophage inflammatory protein 1-alpha, urokinase plasminogen activator surface receptor, tissue factor pathway inhibitor, IL-8, E-Selectin, vascular endothelial growth factor receptor 2, pentraxin 3, IL-16, galectin-1, monocyte chemotactic protein 1, disintegrin and metalloproteinase domain-containing protein 12, insulin-like growth factor-binding protein 1, matrix metalloproteinase-1(MMP1), and CD163) were found to have different plasma concentrations (of an EV or a soluble fraction) in women with fetal death compared to controls. There was a similar pattern of change for the dysregulated proteins in the EV and soluble fractions and a positive correlation between the log2-fold changes of proteins significant in either the EV or the soluble fraction (ρ = 0.89, p < .001). The combination of EV and soluble fraction proteins resulted in a good discriminatory model (area under the ROC curve, 82%; sensitivity, 57.5% at a 10% false-positive rate). Unsupervised clustering based on the proteins differentially expressed in either the EV or the soluble fraction of patients with fetal death relative to controls revealed three major clusters of patients. CONCLUSION Pregnant women with fetal death have different concentrations of 19 proteins in the EV and soluble fractions compared to controls, and the direction of changes in concentration was similar between fractions. The combination of EV and soluble protein concentrations revealed three different clusters of fetal death cases with distinct clinical and placental histopathological characteristics.
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Affiliation(s)
- Dahiana M Gallo
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Detroit, MI, USA.,Division of Intramural Research, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, MD, USA.,Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, USA.,Department of Obstetrics and Gynecology, Universidad Del Valle, Cali, Colombia
| | - Wendy Fitzgerald
- Section on Intercellular Interactions, National Institutes of Health, Bethesda, MD, USA
| | - Roberto Romero
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Detroit, MI, USA.,Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, MI, USA.,Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, USA.,Center for Molecular Medicine and Genetics, Wayne State University, Detroit, MI, USA.,Detroit Medical Center, Detroit, MI, USA
| | - Nardhy Gomez-Lopez
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Detroit, MI, USA.,Division of Intramural Research, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, MD, USA.,Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, USA.,Department of Biochemistry, Microbiology and Immunology, Wayne State University School of Medicine, Detroit, Michigan, USA
| | - Dereje W Gudicha
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Detroit, MI, USA.,Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, USA
| | - Nándor Gábor Than
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Detroit, MI, USA.,Systems, Biology of Reproduction Research Group, Institute of Enzymology, Research Centre for Natural Sciences, Budapest, Hungary.,Department of Obstetrics and Gynecology, Semmelweis University, Budapest, Hungary.,Maternity Private Clinic of Obstetrics and Gynecology, Budapest, Hungary
| | - Mariachiara Bosco
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Detroit, MI, USA.,Division of Intramural Research, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, MD, USA.,Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, USA
| | - Tinnakorn Chaiworapongsa
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Detroit, MI, USA.,Division of Intramural Research, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, MD, USA.,Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, USA
| | - Eunjung Jung
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Detroit, MI, USA.,Division of Intramural Research, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, MD, USA.,Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, USA
| | - Arun Meyyazhagan
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Detroit, MI, USA.,Division of Intramural Research, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, MD, USA.,Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, USA
| | - Manaphat Suksai
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Detroit, MI, USA.,Division of Intramural Research, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, MD, USA.,Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, USA
| | - Francesca Gotsch
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Detroit, MI, USA.,Division of Intramural Research, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, MD, USA.,Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, USA
| | - Offer Erez
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Detroit, MI, USA.,Division of Intramural Research, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, MD, USA.,Department of Obstetrics and Gynecology, HaEmek Medical Center, Afula, Israel
| | - Adi L Tarca
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Detroit, MI, USA.,Division of Intramural Research, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, MD, USA.,Department of Computer Science, Wayne State University College of Engineering, Detroit, MI, USA
| | - Leonid Margolis
- Section on Intercellular Interactions, National Institutes of Health, Bethesda, MD, USA
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Sachetto AT, Archibald SJ, Bhatia R, Monroe D, Hisada Y, Mackman N. Evaluation of four commercial ELISAs to measure tissue factor in human plasma. Res Pract Thromb Haemost 2023; 7:100133. [PMID: 37275179 PMCID: PMC10233285 DOI: 10.1016/j.rpth.2023.100133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 03/09/2023] [Accepted: 03/11/2023] [Indexed: 03/30/2023] Open
Abstract
Background Under pathological conditions, tissue factor (TF)-positive extracellular vesicles (EVs) are released into the circulation and activate coagulation. Therefore, it is important to identify methods that accurately quantitate levels of TF in plasma. Enzyme-linked immunosorbent assays (ELISAs) are a fast and simple method to quantitate levels of proteins. However, there are several specific challenges with measuring TF antigen in plasma including its low concentration and the complexity of plasma. Objectives We aimed to evaluate the ability of 4 commercial ELISAs to measure TF in human plasma. Methods We determined the ability of 4 commercial ELISAs (Imubind, Quantikine, Human SimpleStep, and CD142 Human) to detect recombinant human TF (Innovin) (12.5-100 pg/mL), TF-positive EVs isolated from the culture supernatant from a human pancreatic cancer cell line (57 pg/mL), TF in plasma containing low levels of EV TF activity (1.2-2.6 pg/mL) from lipopolysaccharide-stimulated whole blood, and plasma containing high levels of EV TF activity (151-696 pg/mL) from patients with acute leukemia. Results The CD142 Human ELISA could not detect recombinant TF. Imubind and Quantikine but not Human SimpleStep detected recombinant TF spiked into plasma and TF-positive EVs isolated from the culture supernatant of a human pancreatic cancer cell line. Quantikine and Imubind could not detect low levels of TF in plasma from lipopolysaccharide-stimulated whole blood. However, Quantikine but not Imubind detected TF in plasma from acute leukemia patients with high levels of EV TF activity. Conclusion Our results indicate that commercial ELISAs have different abilities to detect TF. Quantikine and Imubind could not detect low levels of TF in plasma, but Quantikine detected TF in plasma with high levels of TF.
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Affiliation(s)
- Ana T.A. Sachetto
- UNC Blood Research Center, Division of Hematology, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Sierra J. Archibald
- UNC Blood Research Center, Division of Hematology, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Ravi Bhatia
- Department of Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Dougald Monroe
- UNC Blood Research Center, Division of Hematology, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Yohei Hisada
- UNC Blood Research Center, Division of Hematology, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Nigel Mackman
- UNC Blood Research Center, Division of Hematology, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
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