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NMR-based urinary biomarkers in pediatric primary mitochondrial disorders and chronic kidney disease: shared mitochondrial dysfunction, diverging biosignatures

2026-01-19Artigo de investigação Acesso aberto
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dc.contributor.authorCoelho, Margarida Paiva
dc.contributor.authorRodrigues, João E.
dc.contributor.authorCosta, Teresa
dc.contributor.authorDias, Aureliano
dc.contributor.authorGraça, Inês C. R.
dc.contributor.authorRocha, Hugo
dc.contributor.authorVilarinho, Laura
dc.contributor.authorMartins, Esmeralda
dc.contributor.authorGil, Ana M.
dc.contributor.authorCarvalho de Azevedo Rocha, Hugo Daniel
dc.date.accessioned2026-07-14T09:57:30Z
dc.date.available2026-07-14T09:57:30Z
dc.date.issued2026-01-19
dc.description.abstractRenal involvement is a recognized feature of primary mitochondrial disorders (PMD), either at presentation or during the disease course. Simultaneously, the metabolomic fingerprint of chronic kidney disease (CKD) is often associated with underlying mitochondrial dysfunction. This study aimed to characterize urinary metabolic signatures in genetically confirmed paediatric PMD without chronic kidney disease, comparing them to healthy controls, suspected (unconfirmed) mitochondrial disease (SMD), and non-mitochondrial CKD. We performed untargeted 1 H NMR metabolomic profiling of 76 urine samples from 51 paediatric patients and 10 healthy controls. PMD patients in acute decompensation or known CKD and statistical outlier samples were excluded. Final comparisons included genetically confirmed PMD without CKD (n=13), SMD (n=10), non-mitochondrial CKD (n=28; 17 at stages 1–2 and 9 at stages 3–5), and healthy controls (n=10). Spectral data were analyzed using multivariate statistical approaches—including principal component analysis (PCA) and partial least squares–discriminant analysis (PLS-DA)—as well as univariate methods with Mann-Whitney U for pairwise group metabolite comparison. Urinary metabolic profiles of PMD patients differed from healthy controls and CKD patients. Multivariate analysis revealed a strong discriminative ability between PMD and controls (Q² = 0.53) and advanced CKD (Q2=0.78). Compared to controls, PMD patients had increased levels of Krebs cycle intermediates (cis-aconitate, fumarate and succinate), creatine, tryptophan, homovanillate (HVA) and hypoxanthine, as well as decreased histidine. All, except fumarate and histidine, remained discriminative when comparing PMD to CKD. CKD patients showed a diverging metabolomic fingerprint with 1-methylnicotinamide (MNA) and 2-hydroxyisobutyrate emerging as potential CKD-specific biomarkers, effectively discriminating between CKD stage 3–5 from earlier stages and controls. A five-metabolite panel comprising cis-aconitate, fumarate, HVA, tryptophan and histidine achieved high diagnostic performance for identifying PMD, with an area under the curve (AUC) of 0.836 (PMD vs. controls) and AUC=0.783 across all groups. This biosignature integrates metabolites involved in distinct functional domains including energy metabolism, neurotransmitter turnover and amino acid metabolism and renal handling. Urinary metabolomic profiling by NMR revealed a distinct biosignature in pediatric PMD patients without renal involvement, characterized by elevated levels of tryptophan, HVA, and Krebs cycle intermediates, and diminished histidine. The divergent changes in tryptophan, histidine and HVA, suggest a mitochondria-specific metabolic phenotype in PMD. These findings support the use of urinary NMR metabolomics as a non-invasive tool for biomarker discovery in PMD and highlight the potential of integrated, multiparametric metabolic fingerprints for diagnostic refinement and patient stratification.eng
dc.description.sponsorshipInfrastructure Project Nº022161 (co-financed by FEDER through COMPETE 2020, POCI and PORL and FCT through PIDDAC
dc.identifier.citationPaiva Coelho, M., Rodrigues, J. E., Costa, T., Dias, A., Graça, I. C. R., Rocha, H., Vilarinho, L., Martins, E., & Gil, A. M. (2026). NMR-based urinary biomarkers in pediatric primary mitochondrial disorders and chronic kidney disease: Shared mitochondrial dysfunction, diverging biosignatures. Metabolomics, 22(1), 17. https://doi.org/10.1007/s11306-025-02363-8
dc.identifier.doi10.1007/s11306-025-02363-8
dc.identifier.eissn1573-3890
dc.identifier.issn1573-3882
dc.identifier.urihttp://hdl.handle.net/10400.22/32587
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Nature
dc.relationUIDB/50011/2020; UIDP/50011/2020; LA/P/0006/2020; 2022.04286.PTDC
dc.relation.hasversionhttps://link.springer.com/article/10.1007/s11306-025-02363-8
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectPrimary mitochondrial disorders
dc.subjectPediatric CKD
dc.subjectMetabolomics
dc.subjectUrine
dc.subjectNMR
dc.subjectBiomarkers
dc.titleNMR-based urinary biomarkers in pediatric primary mitochondrial disorders and chronic kidney disease: shared mitochondrial dysfunction, diverging biosignatureseng
dc.typeresearch article
dspace.entity.typePublication
oaire.citation.endPage17
oaire.citation.issue17
oaire.citation.startPage1
oaire.citation.titleMetabolomics
oaire.citation.volume22
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameCarvalho de Azevedo Rocha
person.givenNameHugo Daniel
person.identifier.ciencia-id331F-6236-B34F
person.identifier.orcid0000-0001-5447-615X
relation.isAuthorOfPublicationa67d8ec6-bfd4-415f-9615-8d8c8a48166e
relation.isAuthorOfPublication.latestForDiscoverya67d8ec6-bfd4-415f-9615-8d8c8a48166e

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