<sup>1</sup> H NMR-Based Plasma Metabolomics and Machine Learning Reveal Distinct Metabolic Signatures of Breast Cancer in Nigerian Women

H NMR spectroscopy and the Liposcale test. Multivariate and ML analyses revealed a clear distinction between BC and controls (PLS-DA accuracy: 92.4-94.4%). Twenty-four metabolites were significantly altered (FDR < 0.05), with decreased glycine and glutamine, and increased GlycA, GlycB, glucose, and ketone bodies. Lipoprotein profiling showed reduced small HDL, LDL, and large VLDL particles, alongside with increased HDL diameter. The random forest model achieved the best classification performance (AUC = 0.985) and identified 23 key biomarkers. Pathway analysis revealed 29 enriched metabolic pathways, including glyoxylate and dicarboxylate metabolism. Overall, these findings highlight distinct metabolic alterations in Nigerian BC patients and demonstrate the potential of combining NMR-based metabolomics with ML for population-specific, noninvasive BC diagnostics.

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Journal
Journal of Proteome Research
Published
2026-04-27
DOI
https://doi.org/10.1021/acs.jproteome.5c00965
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
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article

1 H NMR-Based Plasma Metabolomics and Machine Learning Reveal Distinct Metabolic Signatures of Breast Cancer in Nigerian Women

Jelili Oyelade, Emmanuella Nwachukwu, Stefano Cacciatore, Nnenna Elebo et al.
Journal of Proteome Research
Metabolomics and Mass Spectrometry Studies
article

1 H NMR-Based Plasma Metabolomics and Machine Learning Reveal Distinct Metabolic Signatures of Breast Cancer in Nigerian Women

Jelili Oyelade, Emmanuella Nwachukwu, Stefano Cacciatore, Nnenna Elebo, Opeyemi C. De Campos, A A Alabi, Omolara Fatiregun, Solomon O. Rotimi, Ademola Oyekan, Luiz F. Zerbini, Ekene Emmanuel Nweke, Abimbola F. Onyia, Eben A. Aje, Oluwabusayo B. Ogunniyi, Uchechukwu Shagaya, AO Lawal, Chidiebere Ogo, Temitope Olatunji, Oluwakemi A. Rotimi, Ebenezer S. Nkom, Anthonia Sowunmi, Olutola E. Olasehinde, Timothy A. Anake, Toluwanimi O. P. Ajibola
article en

Abstract

H NMR spectroscopy and the Liposcale test. Multivariate and ML analyses revealed a clear distinction between BC and controls (PLS-DA accuracy: 92.4-94.4%). Twenty-four metabolites were significantly altered (FDR < 0.05), with decreased glycine and glutamine, and increased GlycA, GlycB, glucose, and ketone bodies. Lipoprotein profiling showed reduced small HDL, LDL, and large VLDL particles, alongside with increased HDL diameter. The random forest model achieved the best classification performance (AUC = 0.985) and identified 23 key biomarkers. Pathway analysis revealed 29 enriched metabolic pathways, including glyoxylate and dicarboxylate metabolism. Overall, these findings highlight distinct metabolic alterations in Nigerian BC patients and demonstrate the potential of combining NMR-based metabolomics with ML for population-specific, noninvasive BC diagnostics.

Journal of Proteome Research
Lagos State University (NG), Florida Department of Agriculture and Consumer Services (US), University of Cape Town (ZA), University of South Africa (ZA), University of Toronto (CA), Covenant University (NG), University of the Witwatersrand (ZA), Lagos University Teaching Hospital (NG), International Centre for Genetic Engineering and Biotechnology (ZA), Centre de Radiothérapie Bayard (FR), National Hospital Abuja (NG), Karachi Institute of Radiotherapy and Nuclear Medicine (PK), Covenant Medical Center (US), Lagos State University Teaching Hospital (NG), Cancer Genomics Centre (NL), Radiation Oncology Associates (US), Integrative Health Technologies (United States) (US), Department of Health Services (US), Institute of Radiotherapy and Nuclear Medicine (PK), Toronto Metropolitan University (CA), International Centre for Genetic Engineering and Biotechnology (IT)
Gender equality
Openalex Percentile: Top 12%
Metabolomics and Mass Spectrometry Studies
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