ArticleJournal of proteome research2022
Human Plasma Proteome During Normal Pregnancy.
Article in Journal of proteome research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed, 21 citations in OpenAlex.
- Dietary Sodium-Regulated Plasma SVEP1 and Inverse Salt Sensitivity.Hypertension (Dallas, Tex. : 1979) · 2026Trial
- New biomarkers for the detection of fetal death derived from large-scale proteomic analysis of maternal plasma.American journal of obstetrics and gynecology · 2026Article
- Large-Scale Proteomics Reveals New Candidate Biomarkers for Late-Onset Preeclampsia.Hypertension (Dallas, Tex. : 1979) · 2026Article
- Longitudinal omics data analysis: approaches and applications.Computational and structural biotechnology journal · 2026Review
- Plasma Proteomics Reveals Distinct Signatures in Occult and Microfilaremic Loa loa Infections.The Journal of infectious diseases · 2025Article
- SVEP1 Upregulation Is a Prominent Molecular Response to Dietary Sodium Loading and Correlates with Inverse Salt Sensitivity.medRxiv : the preprint server for health sciences · 2025Article
- Novel proteomics biomarkers of recurrent pregnancy loss reflect the dysregulation of immune interactions at the maternal-fetal interface.Frontiers in immunology · 2025Article
- Exploring structured molecular landscape from single-cell multi-omics data by an explainable multimodal model.iScience · 2024Article
- Proteomic Profiles of Maternal Plasma Extracellular Vesicles for Prediction of Preeclampsia.American journal of reproductive immunology (New York, N.Y. : 1989) · 2024Article
- Machine learning: a new era for cardiovascular pregnancy physiology and cardio-obstetrics research.American journal of physiology. Heart and circulatory physiology · 2024Review
- An Early Gestation Plasma Inflammasome in Rural Bangladeshi Women.Biomolecules · 2024Article
- Deciphering maternal-fetal cross-talk in the human placenta during parturition using single-cell RNA sequencing.Science translational medicine · 2024Article
- Exosomal small RNA profiling in first-trimester maternal blood explores early molecular pathways of preterm preeclampsia.Frontiers in immunology · 2024Article
- The emerging Janus face of SVEP1 in development and disease.Trends in molecular medicine · 2023Review
- Comparative predictive power of serum vs plasma proteomic signatures in feto-maternal medicine.AJOG global reports · 2023Article
- Pregnancy-specific responses to COVID-19 revealed by high-throughput proteomics of human plasma.Communications medicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 1 institution in 2 countries.
Funding
Abstract
The human plasma proteome is underexplored despite its potential value for monitoring health and disease. Herein, using a recently developed aptamer-based platform, we profiled 7288 proteins in 528 plasma samples from 91 normal pregnancies (Gene Expression Omnibus identifier GSE206454). The coefficient of variation was <20% for 93% of analytes (median 7%), and a cross-platform correlation for selected key angiogenic and anti-angiogenic proteins was significant. Gestational age was associated with changes in 953 proteins, including highly modulated placenta- and decidua-specific proteins, and they were enriched in biological processes including regulation of growth, angiogenesis, immunity, and inflammation. The abundance of proteins corresponding to RNAs specific to populations of cells previously described by single-cell RNA-Seq analysis of the placenta was highly modulated throughout gestation. Furthermore, machine learning-based prediction of gestational age and of time from sampling to term delivery compared favorably with transcriptomic models (mean absolute error of 2 weeks). These results suggested that the plasma proteome may provide a non-invasive readout of placental cellular dynamics and serve as a blueprint for investigating obstetrical disease.
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What OpenQuestion holds
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.