Literature DB >> 25284176

Urinary metabolomics of bronchopulmonary dysplasia (BPD): preliminary data at birth suggest it is a congenital disease.

Vassilios Fanos1, Maria Cristina Pintus, Milena Lussu, Luigi Atzori, Antonio Noto, Mauro Stronati, Hercilia Guimaraes, Maria Antonietta Marcialis, Gustavo Rocha, Corrado Moretti, Paola Papoff, Serafina Lacerenza, Silvia Puddu, Mario Giuffrè, Francesca Serraino, Michele Mussap, Giovanni Corsello.   

Abstract

OBJECTIVE: Bronchopulmonary dysplasia (BPD) or chronic lung disease is one of the principal causes of mortality and morbidity in preterm infants. Early identification of infants at the greater risk of developing BPD may allow a targeted approach for reducing disease severity and complications. The trigger cause of the disease comprehends the impairment of the alveolar development and the increased angiogenesis. Nevertheless, the molecular pathways characterizing the disease are still unclear. Therefore, the use of the metabolomics technique, due to the capability of identifying instantaneous metabolic perturbation, might help to recognize metabolic patterns associated with the condition.
METHODS: The purpose of this study is to compare urinary metabolomics at birth in 36 newborns with a gestational age below 29 weeks and birth weight <1500 g (very low birth weight - VLBW), admitted in Neonatal Intensive Care Unit (NICU) divided into two groups: the first group (18 cases) consisting of newborns who have not yet developed the disease, but who will subsequently develop it and the second group (18 controls) consisting of newborns not affected by BPD. Urine samples were collected within 24-36 h of life and immediately frozen at -80 °C.
RESULTS: The (1)H-NMR spectra were analyzed using a partial least squares discriminant analysis (PLS-DA) model coupled with orthogonal Signal Correction. Using this approach it was possible with urine at birth to discriminate newborns that will be later have a diagnosis of BPD with a high statistics power. In particular, we found five important discriminant metabolites in urine in BPD newborns: lactate, taurine, TMAO, myoinositol (which increased) and gluconate (which decreased).
CONCLUSION: These preliminary results seem to be promising for the identification of predictor's biomarkers characterizing the BPD condition. These data may suggest that BPD is probably the result of an abnormal development (respiratory bud, vascular tree, hypodysplasia of pneumocytes) and could be considered a congenital disease (genetics plus intrauterine epigenetics). Early identification of infants at the greater risk of developing BPD may allow a targeted approach for reducing disease severity and complications.

Entities:  

Keywords:  1H-NMR; Bronchopulmonary dysplasia; metabolites; metabolomics; multivariate statistical analysis

Mesh:

Substances:

Year:  2014        PMID: 25284176     DOI: 10.3109/14767058.2014.955966

Source DB:  PubMed          Journal:  J Matern Fetal Neonatal Med        ISSN: 1476-4954


  21 in total

1.  Identification of new biomarkers of bronchopulmonary dysplasia using metabolomics.

Authors:  Fiammetta Piersigilli; TuKiet T Lam; Pamela Vernocchi; Andrea Quagliariello; Lorenza Putignani; Zubair H Aghai; Vineet Bhandari
Journal:  Metabolomics       Date:  2019-02-02       Impact factor: 4.290

2.  Identification of Infants at Risk for Chronic Lung Disease at Birth. Potential for a Personalized Approach to Disease Prevention.

Authors:  Angelo D'Alessandro; Eva Nozik-Grayck; Kurt R Stenmark
Journal:  Am J Respir Crit Care Med       Date:  2017-10-15       Impact factor: 21.405

3.  Early airway microbial metagenomic and metabolomic signatures are associated with development of severe bronchopulmonary dysplasia.

Authors:  Charitharth Vivek Lal; Jegen Kandasamy; Kalsang Dolma; Manimaran Ramani; Ranjit Kumar; Landon Wilson; Zubair Aghai; Stephen Barnes; J Edwin Blalock; Amit Gaggar; Vineet Bhandari; Namasivayam Ambalavanan
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2018-08-16       Impact factor: 5.464

4.  Urinary gas chromatography mass spectrometry metabolomics in asphyxiated newborns undergoing hypothermia: from the birth to the first month of life.

Authors:  Antonio Noto; Giulia Pomero; Michele Mussap; Luigi Barberini; Claudia Fattuoni; Francesco Palmas; Cristina Dalmazzo; Antonio Delogu; Angelica Dessì; Vassilios Fanos; Paolo Gancia
Journal:  Ann Transl Med       Date:  2016-11

Review 5.  [Application of metabolomics in neonatal clinical practice].

Authors:  Qiu-Tong Liu; Xiao-Yun Zhong
Journal:  Zhongguo Dang Dai Er Ke Za Zhi       Date:  2019-09

6.  Bronchopulmonary Dysplasia and Perinatal Characteristics Predict 1-Year Respiratory Outcomes in Newborns Born at Extremely Low Gestational Age: A Prospective Cohort Study.

Authors:  Roberta L Keller; Rui Feng; Sara B DeMauro; Thomas Ferkol; William Hardie; Elizabeth E Rogers; Timothy P Stevens; Judith A Voynow; Scarlett L Bellamy; Pamela A Shaw; Paul E Moore
Journal:  J Pediatr       Date:  2017-05-17       Impact factor: 4.406

Review 7.  Metabolic reprogramming in the pathogenesis of chronic lung diseases, including BPD, COPD, and pulmonary fibrosis.

Authors:  Haifeng Zhao; Phyllis A Dennery; Hongwei Yao
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2018-01-04       Impact factor: 5.464

8.  Umbilical cord blood metabolomics reveal distinct signatures of dyslipidemia prior to bronchopulmonary dysplasia and pulmonary hypertension.

Authors:  Michael R La Frano; Johannes F Fahrmann; Dmitry Grapov; Theresa L Pedersen; John W Newman; Oliver Fiehn; Mark A Underwood; Karen Mestan; Robin H Steinhorn; Stephen Wedgwood
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2018-08-16       Impact factor: 5.464

Review 9.  Preventing bronchopulmonary dysplasia: new tools for an old challenge.

Authors:  María Álvarez-Fuente; Laura Moreno; Jane A Mitchell; Irwin K Reiss; Paloma Lopez; Dolores Elorza; Liesbeth Duijts; Alejandro Avila-Alvarez; Luis Arruza; Manuel Ramirez Orellana; Eugenio Baraldi; Patrizia Zaramella; Santiago Rueda; Álvaro Gimeno-Díaz de Atauri; Hercília Guimarães; Gustavo Rocha; Elisa Proença; Bernard Thébaud; Maria Jesús Del Cerro
Journal:  Pediatr Res       Date:  2018-11-21       Impact factor: 3.756

10.  Metabolome and microbiome multi-omics integration from a murine lung inflammation model of bronchopulmonary dysplasia.

Authors:  Ahmed El Saie; Chenlian Fu; Sandra L Grimm; Matthew J Robertson; Kristi Hoffman; Vasanta Putluri; Chandra Shekar R Ambati; Nagireddy Putluri; Binoy Shivanna; Cristian Coarfa; Mohan Pammi
Journal:  Pediatr Res       Date:  2022-03-25       Impact factor: 3.953

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