New biomarkers for the detection of fetal death derived from large-scale proteomic analysis of maternal plasma
- Title
- New biomarkers for the detection of fetal death derived from large-scale proteomic analysis of maternal plasma
- Creator
- Romero, Roberto; Bhatti, Gaurav; Chaiworapongsa, Tinnakorn; Gomez-Lopez, Nardhy; Meyyazhagan, Arun; Chaemsaithong, Piya; Jung, Eunjung; Awonuga, Awoniyi O.; Kim, Yeon Mee; Gudicha, Dereje W.; Kim, Chong Jai; Bryant, David R.; Hassan, Sonia S.; Tarca, Adi L.
- Description
- Background Normal pregnancy involves the modulation of thousands of maternal plasma proteins, and protein values not within the normal range may indicate the development of adverse pregnancy outcomes. A decrease in placental growth factor and an increase in soluble fms-like tyrosine kinase 1 in maternal plasma were shown to be associated with fetal death at the time of diagnosis and to predict this devastating pregnancy outcome at 24 to 28 weeks of gestation. However, these proteomic dysregulations are also present in other obstetrical syndromes, and more specific and sensitive biomarkers are needed to implement preventive strategies. Objective This study aimed to identify candidate protein biomarkers that can improve the prediction of fetal death relative to placental growth factor and soluble fms-like tyrosine kinase 1. Study Design This retrospective case-control study included 38 patients who experienced fetal death (cases) and 23 patients with uncomplicated pregnancies (controls). Plasma samples were collected at the time of diagnosis (2041 weeks of gestation) from cases and during routine care from gestational agematched controls. An aptamer-based multiplex assay was used to measure the abundance of >7000 protein analytes. Differential protein abundance was assessed using linear models with adjustment for gestational age at sample collection. Significance was inferred using a moderated t test adjusted P value of <.1 and a fold change of >1.25. Hypergeometric tests were performed to identify gene ontology biological processes enriched among proteins with significant changes in abundance. Random forest models were trained and evaluated via cross-validation to distinguish between fetal death cases and controls and to pinpoint the most salient predictors. Results Among the 7146 protein assays tested, 97 assays (1.4%) corresponding to 87 unique proteins differed significantly in abundance between fetal death cases and controls: 63 of 87 proteins (72%) were less abundant in fetal death cases, and 24 of 87 proteins (26%) were more abundant in fetal death cases. Dysregulated proteins were involved in pregnancy-related processes, such as angiogenesis and lactation. Random forest models effectively differentiated fetal death cases from controls, achieving an area under the receiver operating characteristic curve of 72% for the combination of placental growth factor and soluble fms-like tyrosine kinase 1, which increased to 86% when up to 50 additional proteins were included in the models (Delong test: P =.004). In addition, the point estimate of sensitivity increased from 53% to 74% (false-positive rate of approximately 10% for both). Glycoprotein hormones alpha chain (CGA), DnaJ homolog subfamily B member 9 (DNAJB9), and DNA-directed RNA polymerase III subunit RPC10 (POLR3K) emerged as the top 3 candidates to improve discrimination relative to placental growth factor and soluble fms-like tyrosine kinase 1. The significant proteomic changes in a subset of fetal death cases diagnosed first with preeclampsia relative to controls were highly correlated ( r =0.78; P <.001) with those reported in late preeclampsia cases leading to live births. On average, for each 2-fold change in protein abundance in late preeclampsia leading to live birth, there was an 8.6-fold change in preeclampsia leading to fetal death. Despite this overall correlation, transcobalamin 2, glucose-6-phosphate 1-dehydrogenase, and hepcidin, among others, demonstrated dysregulation only in preeclampsia leading to fetal death, suggesting both shared and distinct pathways perturbed in the 2 syndromes. Conclusion Our findings suggest that new maternal plasma proteins improve the discrimination of fetal death from controls relative to known biomarkers and that, although the signatures of fetal death and of preeclampsia are correlated, fetal death not only represents a much heightened disease state but also involves distinct perturbed pathways. Future studies are needed to determine whether the biomarkers can predict fetal death. 2026 Elsevier Inc.
- Source
- American Journal of Obstetrics and Gynecology;
- Date
- 01-01-2026
- Publisher
- Elsevier Inc.
- Subject
- angiogenesis; aptamer; biomarker; blood proteins; DNAJB9 protein; fetal death; glucose-6-phosphate 1-dehydrogenase; glycoprotein hormones alpha chain; hepcidin; high-throughput screening assay; placental growth factor; proteome; RNA polymerase III subunit C10; soluble fms-like tyrosine kinase 1; transcobalamin 2; vascular endothelial growth factor receptor-1
- Coverage
- Romero R., Pregnancy Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, United States Department of Health and Human Services, Bethesda, MD, and Detroit, MI, United States, Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, MI, United States, Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, United States, George Washington University School of Medicine and Health Sciences, Washington, DC, United States; Bhatti G., Center for Molecular Medicine and Genetics, Wayne State University, Detroit, MI, United States; Chaiworapongsa T., Pregnancy Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, United States Department of Health and Human Services, Bethesda, MD, and Detroit, MI, United States, Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI, United States; Gomez-Lopez N., Pregnancy Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, United States Department of Health and Human Services, Bethesda, MD, and Detroit, MI, United States, Center for Molecular Medicine and Genetics, Wayne State University, Detroit, MI, United States, Departments of Obstetrics and Gynecology and Pathology and Immunology, Center for Reproductive Health Sciences, Washington University School of Medicine, St. Louis, MO, United States; Meyyazhagan A., Pregnancy Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, United States Department of Health and Human Services, Bethesda, MD, and Detroit, MI, United States, Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI, United States, Department of Life Sciences, Christ University, Bengaluru, India; Chaemsaithong P., Pregnancy Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, United States Department of Health and Human Services, Bethesda, MD, and Detroit, MI, United States, Department of Obstetrics and Gynecology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand, Program in Translational Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand; Jung E., Pregnancy Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, United States Department of Health and Human Services, Bethesda, MD, and Detroit, MI, United States, Department of Pathology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, South Korea; Awonuga A.O., Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI, United States; Kim Y.M., Department of Pathology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, South Korea; Gudicha D.W., Pregnancy Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, United States Department of Health and Human Services, Bethesda, MD, and Detroit, MI, United States; Kim C.J., Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea; Bryant D.R., Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI, United States; Hassan S.S., Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI, United States, Department of Physiology, Wayne State University School of Medicine, Detroit, MI, United States, Office of Womens Health, Wayne State University, Detroit, MI, United States; Tarca A.L., Center for Molecular Medicine and Genetics, Wayne State University, Detroit, MI, United States, Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI, United States, Department of Computer Science, Wayne State University College of Engineering, Detroit, MI, United States
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISSN: 29378; CODEN: AJOGA
- Format
- online
- Language
- English
- Type
- Article
Collection
Citation
Romero, Roberto; Bhatti, Gaurav; Chaiworapongsa, Tinnakorn; Gomez-Lopez, Nardhy; Meyyazhagan, Arun; Chaemsaithong, Piya; Jung, Eunjung; Awonuga, Awoniyi O.; Kim, Yeon Mee; Gudicha, Dereje W.; Kim, Chong Jai; Bryant, David R.; Hassan, Sonia S.; Tarca, Adi L., “New biomarkers for the detection of fetal death derived from large-scale proteomic analysis of maternal plasma,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/22189.