Urine NMR-based TB metabolic fingerprinting for the diagnosis of TB in children.
Urine NMR-based TB metabolic fingerprinting for the diagnosis of TB in children.
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DOI：
10.1038/s41598-021-91545-0
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发表时间：
2021-06-07
影响因子：
4.6
通讯作者：
Domínguez J
中科院分区：
文献类型：
--
作者：
Comella-Del-Barrio P;Izquierdo-Garcia JL;Gautier J;Doresca MJC;Campos-Olivas R;Santiveri CM;Muriel-Moreno B;Prat-Aymerich C;Abellana R;Pérez-Porcuna TM;Cuevas LE;Ruiz-Cabello J;Domínguez J
Tuberculosis (TB) is a major cause of morbidity and mortality in children, and early diagnosis and treatment are crucial to reduce long-term morbidity and mortality. In this study, we explore whether urine nuclear magnetic resonance (NMR)-based metabolomics could be used to identify differences in the metabolic response of children with different diagnostic certainty of TB. We included 62 children with signs and symptoms of TB and 55 apparently healthy children. Six of the children with presumptive TB had bacteriologically confirmed TB, 52 children with unconfirmed TB, and 4 children with unlikely TB. Urine metabolic fingerprints were identified using high- and low-field proton NMR platforms and assessed with pattern recognition techniques such as principal components analysis and partial least squares discriminant analysis. We observed differences in the metabolic fingerprint of children with bacteriologically confirmed and unconfirmed TB compared to children with unlikely TB (p = 0.041 and p = 0.013, respectively). Moreover, children with unconfirmed TB with X-rays compatible with TB showed differences in the metabolic fingerprint compared to children with non-pathological X-rays (p = 0.009). Differences in the metabolic fingerprint in children with different diagnostic certainty of TB could contribute to a more accurate characterisation of TB in the paediatric population. The use of metabolomics could be useful to improve the prediction of TB progression and diagnosis in children.
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影响因子：
4.6
作者：
Izquierdo-Garcia JL;Comella-Del-Barrio P;Campos-Olivas R;Villar-Hernández R;Prat-Aymerich C;De Souza-Galvão ML;Jiménez-Fuentes MA;Ruiz-Manzano J;Stojanovic Z;González A;Serra-Vidal M;García-García E;Muriel-Moreno B;Millet JP;Molina-Pinargote I;Casas X;Santiago J;Sabriá F;Martos C;Herzmann C;Ruiz-Cabello J;Domínguez J
通讯作者：
Domínguez J
影响因子：
4.1
作者：
Leenders, Justine;Grootveld, Martin;Wilson, Philippe B.
通讯作者：
Wilson, Philippe B.
影响因子：
8.3
作者：
Mirsaeidi, Mehdi;Banoei, Mohammad Mehdi;Schraufnagel, Dean E.
通讯作者：
Schraufnagel, Dean E.
影响因子：
3.7
作者：
Pérez-Porcuna TM;Ascaso C;Malheiro A;Abellana R;Martins M;Sardinha JF;Quincó P;Antunes IA;da Silva Garrido M;Bührer-Sékula S;Martinez-Espinosa FE
通讯作者：
Martinez-Espinosa FE
影响因子：
6.1
作者：
Feng S;Du YQ;Zhang L;Zhang L;Feng RR;Liu SY
通讯作者：
Liu SY