ArticleBioinformatics (Oxford, England)2019
Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy.
Article in Bioinformatics (Oxford, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 127 papers.
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Who cites it
127 citing papers in PubMed, 192 citations in OpenAlex.
- Landscape of coordinated immune responses to H1N1 challenge in humans.The Journal of clinical investigation · 2020Trial
- Multimodal immune phenotyping of maternal peripheral blood in normal human pregnancy.JCI insight · 2020Trial
- Immunological maladaptation preceding spontaneous preterm birth in human pregnancies.Nature communications · 2026Article
- Maternal Microbiome in Gestational Diabetes Mellitus: Mechanisms, Biomarkers, and Therapeutic Perspectives.Life (Basel, Switzerland) · 2026Review
- Navigating multi-omic integration methods for human microbiome research.Nature microbiology · 2026Review
- Multiomics characterization of acute child illness and mortality in Africa and South Asia.Nature communications · 2026Article
- Identifying biomarkers of the serum proteins and metabolites associated with severe preeclampsia.BMC pregnancy and childbirth · 2026Article
- Multi-Omics for Mothers and Infants (MOMI) Consortium: a global initiative to study adverse pregnancy outcomes.Journal of global health · 2026Article
- Multi-omics integration reveals the link between gut microbiota dysbiosis, host metabolic dysregulation, and aortic inflammation in abdominal aortic aneurysm.BMC microbiology · 2026Article
- A machine learning model for frailty based on wearable device measurements.Communications medicine · 2026Article
- Inflammation at the maternal-fetal interface: a perspective on interacting risk factors for preterm birth in sub-Saharan African women living with HIV.Frontiers in immunology · 2026Review
- Neonatal microbiome in the multiomics era: development and its impact on long-term health.Pediatric research · 2025Review
- Identifying Optimal Machine Learning Approaches for Human Gut Microbiome (Shotgun Metagenomics) and Metabolomics Integration with Stable Feature Selection.bioRxiv : the preprint server for biology · 2025Article
- Towards a new taxonomy of preterm birth.Journal of perinatology : official journal of the California Perinatal Association · 2025Review
- Early prediction of preeclampsia from clinical, multi-omics and laboratory data using random forest model.BMC pregnancy and childbirth · 2025Article
- Application of Multiomics in Perinatology: A Metabolomics Integration-Focused Review.International journal of molecular sciences · 2025Review
- Preterm Birth in African American Women: A Multi-Omic Pilot Study in Early Pregnancy.Biological research for nursing · 2025Article
- Review
- A multi-omics spatial framework for host-microbiome dissection within the intestinal tissue microenvironment.Nature communications · 2025Article
- Navigating the Multiverse: a Hitchhiker's guide to selecting harmonization methods for multimodal biomedical data.Biology methods & protocols · 2025Review
67 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
43 authors at 7 institutions in 2 countries.
Funding
Abstract
Motivation: Multiple biological clocks govern a healthy pregnancy. These biological mechanisms produce immunologic, metabolomic, proteomic, genomic and microbiomic adaptations during the course of pregnancy. Modeling the chronology of these adaptations during full-term pregnancy provides the frameworks for future studies examining deviations implicated in pregnancy-related pathologies including preterm birth and preeclampsia. Results: We performed a multiomics analysis of 51 samples from 17 pregnant women, delivering at term. The datasets included measurements from the immunome, transcriptome, microbiome, proteome and metabolome of samples obtained simultaneously from the same patients. Multivariate predictive modeling using the Elastic Net (EN) algorithm was used to measure the ability of each dataset to predict gestational age. Using stacked generalization, these datasets were combined into a single model. This model not only significantly increased predictive power by combining all datasets, but also revealed novel interactions between different biological modalities. Future work includes expansion of the cohort to preterm-enriched populations and in vivo analysis of immune-modulating interventions based on the mechanisms identified. Availability and implementation: Datasets and scripts for reproduction of results are available through: https://nalab.stanford.edu/multiomics-pregnancy/. Supplementary information: Supplementary data are available at Bioinformatics online.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.