ArticleACS applied materials & interfaces2023
First Trimester Prediction of Preterm Birth in Patient Plasma with Machine-Learning-Guided Raman Spectroscopy and Metabolomics.
Article in ACS applied materials & interfaces, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 19 citations in OpenAlex.
- Metabolic Profiling of the Gut-Brain Axis in a Murine Model of Ulcerative Colitis with Raman Spectroscopy.ACS applied materials & interfaces · 2026Article
- Identification of geographical origins of Ophiocordyceps sinensis (Berk.) via machine learning-assisted surface-enhanced Raman spectroscopy.Analytical and bioanalytical chemistry · 2026Article
- Metabolic and proteomic signatures differentiate inflammatory phenotypes from cancer and predict treatment response in patient sera.Bioengineering & translational medicine · 2025Article
- The single-cell immune profile throughout gestation and its potential value for identifying women at risk for spontaneous preterm birth.European journal of obstetrics & gynecology and reproductive biology: X · 2025Review
- Enzymatic Desialylation Enables Reliable Charge Variant Characterization of Highly Glycosylated and Sialylated Fc Fusion Proteins.ACS pharmacology & translational science · 2025Article
- Rapid diagnosis of bacterial vaginosis using machine-learning-assisted surface-enhanced Raman spectroscopy of human vaginal fluids.mSystems · 2025Article
- Diagnosis of pregnancy disorder in the first-trimester patient plasma with Raman spectroscopy and protein analysis.Bioengineering & translational medicine · 2024Article
- Metabolic Response to Small Molecule Therapy in Colorectal Cancer Tracked with Raman Spectroscopy and Metabolomics.Angewandte Chemie (International ed. in English) · 2024Article
- Predicting the onset of preeclampsia by longitudinal monitoring of metabolic changes throughout pregnancy with Raman spectroscopy.Bioengineering & translational medicine · 2024Article
Corrections and comments
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Authors and funding
12 authors at 3 institutions in 2 countries.
Funding
Abstract
Preterm birth (PTB) is the leading cause of infant deaths globally. Current clinical measures often fail to identify women who may deliver preterm. Therefore, accurate screening tools are imperative for early prediction of PTB. Here, we show that Raman spectroscopy is a promising tool for studying biological interfaces, and we examine differences in the maternal metabolome of the first trimester plasma of PTB patients and those that delivered at term (healthy). We identified fifteen statistically significant metabolites that are predictive of the onset of PTB. Mass spectrometry metabolomics validates the Raman findings identifying key metabolic pathways that are enriched in PTB. We also show that patient clinical information alone and protein quantification of standard inflammatory cytokines both fail to identify PTB patients. We show
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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.