{"doi":"10.64898/2026.06.02.26354756","title":"Placental molecular subtypes of severe preeclampsia reveal divergent aging trajectories and fetal growth outcomes","abstract":"<jats:title>Abstract</jats:title>\n                <jats:p>Severe preeclampsia (sPE) is a major cause of maternal and fetal morbidity worldwide, yet its placental molecular heterogeneity remains poorly defined by current clinical diagnosis. To resolve the molecular architecture of sPE, here we integrated DNA methylation and proteomic profiling from a multi-ethnic cohort of 444 placentas from the Hawaii Biorepository (HiBR), including 169 sPE cases, matched preterm controls and full-term controls. To address cellular heterogeneity in bulk placental tissue, we developed HOMED (Hierarchically Optimized Methylation Deconvolution), a single-cell-guided hierarchical framework for inferring placental cell-type composition from DNA methylation data. HOMED-adjusted integrative analyses identified extensive subtype-specific alterations involving hypoxia, angiogenesis, immune activation, trophoblast differentiation and metabolic remodeling. Molecular stratification revealed two reproducible sPE subtypes with divergent placental aging trajectories. One subtype exhibited a pre-mature placental state marked by accelerated placental aging, whereas the other displayed slower accelerated placental aging but a substantially increased risk of small-for-gestational-age birth (P = 0.028). These subtypes were independently replicated across six external cohorts and further supported by proteomic signatures achieving a classification accuracy of 0.88. Integrative epigenomic and proteomic analyses linked the growth-restricted subtype to hypoxia-associated glycolytic remodeling, suggesting distinct pathogenic mechanisms underlying clinically diagnosed sPE. Together, our findings redefine severe preeclampsia as a biologically heterogeneous placental disorder composed of molecularly distinct subtypes with divergent aging trajectories and fetal growth outcomes, providing a framework for mechanism-based stratification and precision obstetric medicine.</jats:p>","journal":null,"year":null,"id":613962,"datarank":0.10397207708399181,"base_score":0.6931471805599453,"endowment":0.6931471805599453,"self_citation_contribution":0.10397207708399181,"citation_network_contribution":0.0,"self_endowment_contribution":0.10397207708399181,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1581923,"name":"Paula A Benny","orcid":null,"position":1,"is_corresponding":false},{"id":766003,"name":"Shayanki Lahiri","orcid":"0000-0001-6918-2269","position":2,"is_corresponding":false},{"id":1581925,"name":"Fadhl M. AlAkwaa","orcid":null,"position":3,"is_corresponding":false},{"id":299154,"name":"Qianhui Huang","orcid":"0000-0002-3292-7519","position":4,"is_corresponding":false},{"id":1581927,"name":"Yuansen Liu","orcid":null,"position":5,"is_corresponding":false},{"id":1581928,"name":"Cameron B Lassiter","orcid":null,"position":6,"is_corresponding":false},{"id":837971,"name":"Joshua Astern","orcid":null,"position":7,"is_corresponding":false},{"id":1581929,"name":"Jonathan Riel","orcid":null,"position":8,"is_corresponding":false},{"id":299156,"name":"Lana X Garmire","orcid":"0000-0003-1672-6917","position":9,"is_corresponding":false},{"id":1201719,"name":"Yuheng Du","orcid":"0000-0002-7131-6577","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Placental molecular subtypes of severe preeclampsia reveal divergent aging trajectories and fetal growth outcomes","abstract":"<jats:title>Abstract</jats:title>\n                <jats:p>Severe preeclampsia (sPE) is a major cause of maternal and fetal morbidity worldwide, yet its placental molecular heterogeneity remains poorly defined by current clinical diagnosis. To resolve the molecular architecture of sPE, here we integrated DNA methylation and proteomic profiling from a multi-ethnic cohort of 444 placentas from the Hawaii Biorepository (HiBR), including 169 sPE cases, matched preterm controls and full-term controls. To address cellular heterogeneity in bulk placental tissue, we developed HOMED (Hierarchically Optimized Methylation Deconvolution), a single-cell-guided hierarchical framework for inferring placental cell-type composition from DNA methylation data. HOMED-adjusted integrative analyses identified extensive subtype-specific alterations involving hypoxia, angiogenesis, immune activation, trophoblast differentiation and metabolic remodeling. Molecular stratification revealed two reproducible sPE subtypes with divergent placental aging trajectories. One subtype exhibited a pre-mature placental state marked by accelerated placental aging, whereas the other displayed slower accelerated placental aging but a substantially increased risk of small-for-gestational-age birth (P = 0.028). These subtypes were independently replicated across six external cohorts and further supported by proteomic signatures achieving a classification accuracy of 0.88. Integrative epigenomic and proteomic analyses linked the growth-restricted subtype to hypoxia-associated glycolytic remodeling, suggesting distinct pathogenic mechanisms underlying clinically diagnosed sPE. Together, our findings redefine severe preeclampsia as a biologically heterogeneous placental disorder composed of molecularly distinct subtypes with divergent aging trajectories and fetal growth outcomes, providing a framework for mechanism-based stratification and precision obstetric medicine.</jats:p>","is_dataset_classified":null,"base_score":0.0,"endowment":0.0,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"21097893","pmcid":null,"openalex_id":null,"authors":[],"funders":[{"funder_name":"National Institutes of Health","grant_id":"R01 LM012373","title":null},{"funder_name":"National Institutes of Health","grant_id":"T32 GM141746","title":null},{"funder_name":"National Institutes of Health","grant_id":"T32 CA140044","title":null},{"funder_name":"National Library of Medicine","grant_id":"R01 LM012907","title":null},{"funder_name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","grant_id":"R01 HD084633","title":null},{"funder_name":"National Institute of General Medical Sciences","grant_id":"R24 GM137786","title":null},{"funder_name":"National Center for Advancing Translational Sciences","grant_id":"UM1TR004404","title":null}],"total_grants":7,"fwci":null,"citation_percentile":null,"influential_citations":0,"citation_trend":[],"oa_status":"green","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","oa_locations":[{"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13252472/","host_type":"repository"},{"url":"https://syndication.highwire.org/content/doi/10.64898/2026.06.02.26354756","host_type":"publisher"}],"fields_of_study":[],"mesh_terms":[],"keywords":[],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-02T09:55:09.777997Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}