Bile and Serum Metabolomics in Living Donor Liver Transplantation: Exploratory Insights into Acute Rejection Biomarkers

BACKGROUND: Acute rejection remains a major complication following liver transplantation, yet reliable noninvasive biomarkers for its early prediction and diagnosis remain unidentified. This exploratory study characterized bile and serum metabolites associated with acute rejection in living donor liver transplantation using comprehensive metabolomic profiling combined with machine learning. METHODS: = 45) from liver transplant recipients. Partial least squares discriminant analysis-based variable selection was followed by logistic regression and least absolute shrinkage and selection operator models, which were evaluated via cross-validation in the discovery cohort to explore potential biomarkers for acute rejection. RESULTS: of 0.728 (95% confidence interval: 0.609-0.846), with methionine, creatine, and oxidized fatty acids contributing prominently. CONCLUSIONS: These findings suggest that metabolomic profiling combined with machine learning may provide candidate biomarkers for acute rejection after liver transplantation. However, given the exploratory nature of the study and the lack of external validation, the clinical utility of these metabolite signatures remains to be determined. Therefore, external validation in larger, independent cohorts will be required.

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Publication Details

Journal
Metabolites
Published
2026-04-17
DOI
https://doi.org/10.3390/metabo16040273
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Bile and Serum Metabolomics in Living Donor Liver Transplantation: Exploratory Insights into Acute Rejection Biomarkers

Taiichi Wakiya, Hideo Ogiso, Yukihiro Sanada, Yuta Hirata et al.
Metabolites
Metabolomics and Mass Spectrometry Studies
article

Bile and Serum Metabolomics in Living Donor Liver Transplantation: Exploratory Insights into Acute Rejection Biomarkers

Taiichi Wakiya, Hideo Ogiso, Yukihiro Sanada, Yuta Hirata, Takahiko Omameuda, Hironori Yamaguchi, Yasuharu Onishi, Noriki Okada, Kenichi Aizawa, Ryozo Nagai, Toshio Horiuchi, Yasunaru Sakuma
article en

Abstract

BACKGROUND: Acute rejection remains a major complication following liver transplantation, yet reliable noninvasive biomarkers for its early prediction and diagnosis remain unidentified. This exploratory study characterized bile and serum metabolites associated with acute rejection in living donor liver transplantation using comprehensive metabolomic profiling combined with machine learning. METHODS: = 45) from liver transplant recipients. Partial least squares discriminant analysis-based variable selection was followed by logistic regression and least absolute shrinkage and selection operator models, which were evaluated via cross-validation in the discovery cohort to explore potential biomarkers for acute rejection. RESULTS: of 0.728 (95% confidence interval: 0.609-0.846), with methionine, creatine, and oxidized fatty acids contributing prominently. CONCLUSIONS: These findings suggest that metabolomic profiling combined with machine learning may provide candidate biomarkers for acute rejection after liver transplantation. However, given the exploratory nature of the study and the lack of external validation, the clinical utility of these metabolite signatures remains to be determined. Therefore, external validation in larger, independent cohorts will be required.

MetabolitesVol. 16(4)
Jichi Medical University (JP)
Japan Research Foundation for Clinical Pharmacology, Jichi Medical University, Japan Society for the Promotion of Science
Reduced inequalities
Openalex Percentile: Top 21%
Metabolomics and Mass Spectrometry Studies
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