A. Noto | Università Di Cagliari (original) (raw)
Papers by A. Noto
The Open Tissue Engineering and Regenerative Medicine Journal
Several acute and chronic inflammatory pathologies of the lung are accompanied by structural modi... more Several acute and chronic inflammatory pathologies of the lung are accompanied by structural modifications of airway mucosa that vary depending on the severity, duration and type of the disease. These morphological changes, that determine organ dysfunction, are not always reversible. Indeed, the cycle of injury and repair, influencing airway wall regeneration, may sometimes break off and an exacerbation of the pathology may occur. The mechanisms at the base of airway remodelling during inflammation have been widely studied and numerous evidences indicate that the molecular dialogue among the cells of the mucosa has an essential role in orchestrating cell differentiation and tissue repair. In this review, we revise old notions on pulmonary morphology at the light of some of the most recent discoveries concerning stem cell differentiation, tissue homeostasis and organ regeneration of the lung.
Early Human Development, 2013
The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians, 2014
Metabolomics is a new "omics" platform aimed at high-throughput identification, quantif... more Metabolomics is a new "omics" platform aimed at high-throughput identification, quantification and characterization of small-molecule metabolites. The metabolomics approach has been successfully applied to the classification different physiological states and identification of perturbed biochemical pathways. The purpose of the current investigation is the application of metabolomics to explore biological mechanisms which may lead to the onset of metabolic syndrome in adulthood. We evaluated differences in metabolites in the urine collected within 12 h from 23 infants with IUGR (IntraUterine Growth Restriction), or LGA (Large for Gestational Age), compared to control infants (10 patients defined AGA: Appropriate for Gestational Age). Urinary metabolites were quantified by GC-MS and used to highlight similarities between the two metabolic diseases and identify metabolic markers for their predisposition. Quantified metabolites were analyzed using a multivariate statistics cou...
Digestive and Liver Disease, 2014
Journal of Maternal-Fetal and Neonatal Medicine, 2014
Objective: A supervised multivariate model to classify the metabolome alterations between autisti... more Objective: A supervised multivariate model to classify the metabolome alterations between autistic spectrum disorders (ASD) patients and controls, siblings of autistic patients, has been realized and used to realize a network model of the ASD patients' metabolome. Methods: In our experiment we propose a quantification of urinary metabolites with the Mass Spectroscopy technique couple to Gas Chromatography. A multivariate model has been used to extrapolate the variables of importance for a network model of interaction between metabolites. In this way we are able to propose a network-based approach to ASD description. Results: Children with autistic disease composing our studied population showed elevated concentration of several organic acids and sugars. Interactions among diet, intestinal flora and genes may explain such findings. Among them, the 3-(3-hydroxyphenyl)-3-hydroxypropanoic acid has been previously described as altered in autistic subjects. Other metabolites increased are 3,4-dihydroxybutyric acid, glycolic acid and glycine, cis-aconitic acid; phenylalanine, tyrosine, p-hydroxyphenylacetic acid, and homovanillic acid are all involved in the tyrosine pathway leading to neurotransmitter cathecolamine. Conclusion: GC-MS-based metabolomic analysis of the urinary metabolome suggests to have the required sensitivity and specificity to gain insight into ASD phenotypes and aid a personalized network-based medicine approach.
Perinatal asphyxia is one of the leading causes of morbidity and mortality in the neonatal period... more Perinatal asphyxia is one of the leading causes of morbidity and mortality in the neonatal period. There is an on-going debate in the literature concerning the correct oxygen concentration to be used during neonatal resuscitation. Aim of this study was to investigate whether different metabolic profiles occurred according to oxygen concentration administered and quickness of resuscitation. We tested the hypothesis that the metabolic profile may be affected by the response to the different oxygen concentration and influenced the different time of recovery. Forty male Landrace/Large newborn piglets were the subjects of the present study. As a consequence of the different time of resuscitation, a metabolomics analysis between the two classes of reoxygenated piglets with the slowest and fastest recovery was carried out: first group (4 piglets) RT < 15 minutes and second group (6 piglets) RT > 68 minutes. In addition, 1 H-NMR metabolomics study was performed showing different metabolic profiles between the two groups. The most Proceedings of the 9 th International Workshop on Neonatology · Cagliari (Italy) · October 23 rd -26 th , 2013 · Learned lessons, changing practice and cutting-edge research Proceedings Original article 2/7 Journal of Pediatric and Neonatal Individualized Medicine • vol. 2 • n. 2 • 2013 www.jpnim.com Open Access Murgia • Noto • Iacovidou • Xanthos • Lussu • Atzori • Barberini • Finco • D'Aloja • Fanos
Magnetic Resonance in Chemistry, 2013
In this feasibility study, we propose, for the first time, (1)H NMR spectroscopy coupled with mat... more In this feasibility study, we propose, for the first time, (1)H NMR spectroscopy coupled with mathematical strategies as a valid tool for body fluid (BF) trace identification in forensic science. In order to assess the ability of this approach to identify traces composed either by a single or by two different BFs, samples of blood, urine, saliva, and semen were collected from different donors, and binary mixtures were prepared. (1)H NMR analyses were carried out for all samples. Spectral data of the whole set were firstly submitted to unsupervised principal component analysis (PCA); it showed that samples of the same BF cluster well on the basis of their characterizing molecular components and that mixtures exhibit intermediate characteristics among BF typologies. Furthermore, samples were divided into a training set and a test set. An average NMR spectral profile for each typology of BF was obtained from the training set and validated as representative of each BF class. Finally, a fitting procedure, based on a system of linear equations with the four obtained average spectral profiles, was applied to the test set and the mixture samples; it showed that BFs can be unambiguously identified, even as components of a mixture. The successful use of this mathematical procedure has the advantage, in forensics, of overcoming bias due to the analyst&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;s personal judgment. We therefore propose this combined approach as a valid, fast, and non-destructive tool for addressing the challenges in the identification of composite traces in forensics.
Clinical Biochemistry, 2014
To look for differences in the urinary metabolic profile and in the hematic asymmetric dimethylar... more To look for differences in the urinary metabolic profile and in the hematic asymmetric dimethylarginine (ADMA) levels between a group of young adults born preterm with an extremely low birthweight (<1000 g; ex-ELBW; n=19) and a control group of subjects born at term with a weight appropriate for their gestational age (AGA; n=13); and to look for a possible correlation between the urinary metabolic profile in ex-ELBW and their hematic levels of ADMA. Urine samples were analyzed by (1)H nuclear magnetic resonance spectroscopy, and then submitted to unsupervised and supervised multivariate analysis. Samples of blood were collected and ADMA concentration was assessed by high-performance liquid chromatography. Using supervised PLS-DA (partial least squares discriminant analysis) model, the authors were able to discriminate between ex-ELBW and AGA. Statistically significant differences were detected in the ADMA levels between ex-ELBW and AGA (p<0.02). Ex-ELBW metabolic profile correlated with ADMA concentrations (r=0.456, p<0.05). Conversely, ADMA levels in AGA did not correlated with their metabolic profiles. This study demonstrates the relevance of the metabolomic technique as a predictive tool of the metabolic status in ex-ELBW. The relationship between ex-ELBW urinary metabolic profile and their blood ADMA levels suggests the presence of a subclinical cardio-renal involvement in these subjects.
Journal of Maternal-Fetal and Neonatal Medicine, 2012
The youngest and more rapidly increasing &amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp... more The youngest and more rapidly increasing &amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;quot;omic&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;quot; discipline, called metabolomics, is the process of describing the phenotype of a cell, tissue or organism through the full complement of metabolites present. Metabolomics measure global sets of low molecular weight metabolites (including amino acids, organic acids, sugars, fatty acids, lipids, steroids, small peptides, vitamins, etc.), thus providing a &amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;quot;snapshot&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;quot; of the metabolic status of a cell, tissue or organism in relation to genetic variations or external stimuli. The use of metabolomics appears to be a promising tool in neonatology. The management of sick newborns might improve if more information on perinatal/neonatal maturational processes and their metabolic background were available. Urine (&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;quot;a window on the organism&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;quot;) is a biofluid particularly suitable for metabolomic analysis in neonatology because it may be collected by using simple, noninvasive techniques and because it may provide valuable diagnostic information. In this review, the authors report the few literature data on neonatal metabolomics, including their personal experience, in the following fields: intrauterine growth restriction, perinatal transition, asphyxia, brain injury and hypothermia, maternal milk evaluation, postnatal maturation, bronchiolitis, sepsis, patent ductus arteriosus, respiratory distress syndrome, nephrouropathies, metabolic diseases, antibiotic treatment, perinatal programming and long-term outcome in extremely low birth-weight infants.
Journal of Maternal-Fetal and Neonatal Medicine, 2011
Metabolomics is a technique used to non-invasively determine a snapshot of the current metabolic ... more Metabolomics is a technique used to non-invasively determine a snapshot of the current metabolic status of an organism by analyzing intact tissue or bio-fluids. The aim of the present preliminary study was to analyze metabolic profiles in preterm infants complicated by respiratory distress syndrome (RDS) trough bronchoalveolar lavage fluid (BALF) measurement. Twelve BALF samples collected at birth prior surfactant, post-surfactant during mechanical ventilation and at extubation time-points, were analyzed by proton nuclear magnetic resonance spectroscopy and Gas chromatography-Mass Spectrometry (GC-MS). GC-MS analysis identified 25 metabolites of whom 10 had a known molecular structure. They were: undecane, decanoic acid, dodecanoic acid, hexadecanoic acid, octadecanoic acid, hexadecanoic acid methyl ester, 9-octadecanoic acid, tetracosanoic acid, myristic acid, phosphate. These metabolites were over-expressed in BALF collected during mechanical ventilation after surfactant administration. The present preliminary data suggest that metabolic profile in BALF of RDS infants is becoming possible opening a new cue of metabolomics as promising tool in management of sick premature infants.
The metabolic study of an organism may make it possible to monitor, through the metabolites,the p... more The metabolic study of an organism may make it possible to monitor, through the metabolites,the physiology and/or pathology of the organism itself. Metabolomics, in the strictest sense, &amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;quot;the set of metabolites, the final products of the genetic expression&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;quot;. Most clinical chemistry tests available today rely on old technologies that measure only a single chemical in blood, urine or other biofluids, and these tests are neither sensitive nor specific for any particular disease. Metabolomics offers a holistic approach to systems medicine, with the promise to enhance clinical chemistry diagnostics in several pathologic conditions. The present review covers the application of clinical metabolomics in three different areas of respiratory diseases in pediatrics: asthma, pneumonia and bronchiolitis. Comparison between two 1H-NMR urine spectra by two bronchiolitis patients are also presented.
Perinatal asphyxia is attributed to hypoxia and/or ischemia around the time of birth and may lead... more Perinatal asphyxia is attributed to hypoxia and/or ischemia around the time of birth and may lead to multiorgan dysfunction. Aim of this research article is to investigate whether different metabolomic profiles occurred according to oxygen concentration administered at resuscitation. In order to perform the experiment, forty newborn piglets were subjected to normocapnic hypoxia and reoxygenation and were randomly allocated in 4 groups resuscitated with different oxygen concentrations, 18%, 21%, 40%, and 100%, respectively. Urine metabolic profiles at baseline and at hypoxia were analysed by 1 H-NMR spectroscopy and metabolites were also identified by multivariate statistical analysis. Metabolic pathways associations were also built up by ingenuity pathway analysis (IPA). Bioinformatics analysis of metabolites characterized the effect of metabolism in the 4 groups; it showed that the 21% of oxygen is the most "physiological" and appropriate concentration to be used for resuscitation. Our data indicate that resuscitation with 21% of oxygen seems to be optimal in terms of survival, rapidity of resuscitation, and metabolic profile in the present animal model. These findings need to be confirmed with metabolomics in human and, if so, the knowledge of the perinatal asphyxia condition may significantly improve.
Journal of Maternal-Fetal and Neonatal Medicine, 2012
The aim of the present study was to investigate the metabolic profile of preterm human breast mil... more The aim of the present study was to investigate the metabolic profile of preterm human breast milk (HBM) by using a metabolomic approach. Methods: NMR spectroscopy and GC/ MS were used to analyze the water-soluble and lipid fractions extracted from milk samples obtained from mothers giving birth at 26-36 weeks of gestation. For the sake of comparison, preterm formula milk was also studied. Results: The multivariate statistical analysis of the data evidenced biochemical variability both between preterm HBM and commercial milk and within the group of HBM samples. Conclusions: The preliminary results of this study suggest that metabolomics may provide a promising tool to study aspects related to the nutrition and health of preterm infant.
Journal of Maternal-Fetal and Neonatal Medicine, 2011
Background: Clinical metabolomics is a recent "omic" technology which is defined as a global holi... more Background: Clinical metabolomics is a recent "omic" technology which is defined as a global holistic overview of the personal metabolic status (fingerprinting). This technique allows to prove metabolic differences in different groups of people with the opportunity to explore interactions such as genotypephenotype and genotype-environment type, whether normal or pathological. Aim: To study chronic kidney injury 1) using urine metabolomic profiles of young adults born extremely low-birth weight (ELBW) and 2) correlating a biomarker of kidney injury, urinary neutrophil gelatinase-associated lipocalin (NGAL), in order to confirm the metabolomic injury profile. Method: Urine samples were collected from a group of 18 people (mean: 24-year-old, std: 4.27) who were born with ELBW and a group of 13 who were born at term appropriate for gestational age (AGA) as control (mean 25-year-old, std: 5.15). Urine samples were analyzed by 1 H-nuclear magnetic resonance spectroscopy, and then submitted to unsupervised and supervised multivariate analysis. Urine NGAL (uNGAL) was measured using ARCHITECT (ABBOTT diagnostic NGAL kit). Results: With a multivariate approach and using a supervised analysis method, PLS-DA, (partial least squares discriminant analysis) we could correlate ELBW metabolic profiles with uNGAL concentration. Conversely, uNGAL could not be correlated to AGA. Conclusions: This study demonstrates the relevance of the metabolomic technique as a predictive tool of the metabolic status of exELBW. This was confirmed by the use of uNGAL as a biomarker which may predict a subclinical pathological process in the kidney such as chronic kidney disease.
BioMed Research International, 2013
The Open Tissue Engineering and Regenerative Medicine Journal, 2009
Several acute and chronic inflammatory pathologies of the lung are accompanied by structural modi... more Several acute and chronic inflammatory pathologies of the lung are accompanied by structural modifications of airway mucosa that vary depending on the severity, duration and type of the disease. These morphological changes, that determine organ dysfunction, are not always reversible. Indeed, the cycle of injury and repair, influencing airway wall regeneration, may sometimes break off and an exacerbation of the pathology may occur. The mechanisms at the base of airway remodelling during inflammation have been widely studied and numerous evidences indicate that the molecular dialogue among the cells of the mucosa has an essential role in orchestrating cell differentiation and tissue repair. In this review, we revise old notions on pulmonary morphology at the light of some of the most recent discoveries concerning stem cell differentiation, tissue homeostasis and organ regeneration of the lung.
Journal of Maternal-Fetal and Neonatal Medicine, 2014
The Open Tissue Engineering and Regenerative Medicine Journal
Several acute and chronic inflammatory pathologies of the lung are accompanied by structural modi... more Several acute and chronic inflammatory pathologies of the lung are accompanied by structural modifications of airway mucosa that vary depending on the severity, duration and type of the disease. These morphological changes, that determine organ dysfunction, are not always reversible. Indeed, the cycle of injury and repair, influencing airway wall regeneration, may sometimes break off and an exacerbation of the pathology may occur. The mechanisms at the base of airway remodelling during inflammation have been widely studied and numerous evidences indicate that the molecular dialogue among the cells of the mucosa has an essential role in orchestrating cell differentiation and tissue repair. In this review, we revise old notions on pulmonary morphology at the light of some of the most recent discoveries concerning stem cell differentiation, tissue homeostasis and organ regeneration of the lung.
Early Human Development, 2013
The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians, 2014
Metabolomics is a new "omics" platform aimed at high-throughput identification, quantif... more Metabolomics is a new "omics" platform aimed at high-throughput identification, quantification and characterization of small-molecule metabolites. The metabolomics approach has been successfully applied to the classification different physiological states and identification of perturbed biochemical pathways. The purpose of the current investigation is the application of metabolomics to explore biological mechanisms which may lead to the onset of metabolic syndrome in adulthood. We evaluated differences in metabolites in the urine collected within 12 h from 23 infants with IUGR (IntraUterine Growth Restriction), or LGA (Large for Gestational Age), compared to control infants (10 patients defined AGA: Appropriate for Gestational Age). Urinary metabolites were quantified by GC-MS and used to highlight similarities between the two metabolic diseases and identify metabolic markers for their predisposition. Quantified metabolites were analyzed using a multivariate statistics cou...
Digestive and Liver Disease, 2014
Journal of Maternal-Fetal and Neonatal Medicine, 2014
Objective: A supervised multivariate model to classify the metabolome alterations between autisti... more Objective: A supervised multivariate model to classify the metabolome alterations between autistic spectrum disorders (ASD) patients and controls, siblings of autistic patients, has been realized and used to realize a network model of the ASD patients' metabolome. Methods: In our experiment we propose a quantification of urinary metabolites with the Mass Spectroscopy technique couple to Gas Chromatography. A multivariate model has been used to extrapolate the variables of importance for a network model of interaction between metabolites. In this way we are able to propose a network-based approach to ASD description. Results: Children with autistic disease composing our studied population showed elevated concentration of several organic acids and sugars. Interactions among diet, intestinal flora and genes may explain such findings. Among them, the 3-(3-hydroxyphenyl)-3-hydroxypropanoic acid has been previously described as altered in autistic subjects. Other metabolites increased are 3,4-dihydroxybutyric acid, glycolic acid and glycine, cis-aconitic acid; phenylalanine, tyrosine, p-hydroxyphenylacetic acid, and homovanillic acid are all involved in the tyrosine pathway leading to neurotransmitter cathecolamine. Conclusion: GC-MS-based metabolomic analysis of the urinary metabolome suggests to have the required sensitivity and specificity to gain insight into ASD phenotypes and aid a personalized network-based medicine approach.
Perinatal asphyxia is one of the leading causes of morbidity and mortality in the neonatal period... more Perinatal asphyxia is one of the leading causes of morbidity and mortality in the neonatal period. There is an on-going debate in the literature concerning the correct oxygen concentration to be used during neonatal resuscitation. Aim of this study was to investigate whether different metabolic profiles occurred according to oxygen concentration administered and quickness of resuscitation. We tested the hypothesis that the metabolic profile may be affected by the response to the different oxygen concentration and influenced the different time of recovery. Forty male Landrace/Large newborn piglets were the subjects of the present study. As a consequence of the different time of resuscitation, a metabolomics analysis between the two classes of reoxygenated piglets with the slowest and fastest recovery was carried out: first group (4 piglets) RT < 15 minutes and second group (6 piglets) RT > 68 minutes. In addition, 1 H-NMR metabolomics study was performed showing different metabolic profiles between the two groups. The most Proceedings of the 9 th International Workshop on Neonatology · Cagliari (Italy) · October 23 rd -26 th , 2013 · Learned lessons, changing practice and cutting-edge research Proceedings Original article 2/7 Journal of Pediatric and Neonatal Individualized Medicine • vol. 2 • n. 2 • 2013 www.jpnim.com Open Access Murgia • Noto • Iacovidou • Xanthos • Lussu • Atzori • Barberini • Finco • D'Aloja • Fanos
Magnetic Resonance in Chemistry, 2013
In this feasibility study, we propose, for the first time, (1)H NMR spectroscopy coupled with mat... more In this feasibility study, we propose, for the first time, (1)H NMR spectroscopy coupled with mathematical strategies as a valid tool for body fluid (BF) trace identification in forensic science. In order to assess the ability of this approach to identify traces composed either by a single or by two different BFs, samples of blood, urine, saliva, and semen were collected from different donors, and binary mixtures were prepared. (1)H NMR analyses were carried out for all samples. Spectral data of the whole set were firstly submitted to unsupervised principal component analysis (PCA); it showed that samples of the same BF cluster well on the basis of their characterizing molecular components and that mixtures exhibit intermediate characteristics among BF typologies. Furthermore, samples were divided into a training set and a test set. An average NMR spectral profile for each typology of BF was obtained from the training set and validated as representative of each BF class. Finally, a fitting procedure, based on a system of linear equations with the four obtained average spectral profiles, was applied to the test set and the mixture samples; it showed that BFs can be unambiguously identified, even as components of a mixture. The successful use of this mathematical procedure has the advantage, in forensics, of overcoming bias due to the analyst&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;s personal judgment. We therefore propose this combined approach as a valid, fast, and non-destructive tool for addressing the challenges in the identification of composite traces in forensics.
Clinical Biochemistry, 2014
To look for differences in the urinary metabolic profile and in the hematic asymmetric dimethylar... more To look for differences in the urinary metabolic profile and in the hematic asymmetric dimethylarginine (ADMA) levels between a group of young adults born preterm with an extremely low birthweight (<1000 g; ex-ELBW; n=19) and a control group of subjects born at term with a weight appropriate for their gestational age (AGA; n=13); and to look for a possible correlation between the urinary metabolic profile in ex-ELBW and their hematic levels of ADMA. Urine samples were analyzed by (1)H nuclear magnetic resonance spectroscopy, and then submitted to unsupervised and supervised multivariate analysis. Samples of blood were collected and ADMA concentration was assessed by high-performance liquid chromatography. Using supervised PLS-DA (partial least squares discriminant analysis) model, the authors were able to discriminate between ex-ELBW and AGA. Statistically significant differences were detected in the ADMA levels between ex-ELBW and AGA (p<0.02). Ex-ELBW metabolic profile correlated with ADMA concentrations (r=0.456, p<0.05). Conversely, ADMA levels in AGA did not correlated with their metabolic profiles. This study demonstrates the relevance of the metabolomic technique as a predictive tool of the metabolic status in ex-ELBW. The relationship between ex-ELBW urinary metabolic profile and their blood ADMA levels suggests the presence of a subclinical cardio-renal involvement in these subjects.
Journal of Maternal-Fetal and Neonatal Medicine, 2012
The youngest and more rapidly increasing &amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp... more The youngest and more rapidly increasing &amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;quot;omic&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;quot; discipline, called metabolomics, is the process of describing the phenotype of a cell, tissue or organism through the full complement of metabolites present. Metabolomics measure global sets of low molecular weight metabolites (including amino acids, organic acids, sugars, fatty acids, lipids, steroids, small peptides, vitamins, etc.), thus providing a &amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;quot;snapshot&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;quot; of the metabolic status of a cell, tissue or organism in relation to genetic variations or external stimuli. The use of metabolomics appears to be a promising tool in neonatology. The management of sick newborns might improve if more information on perinatal/neonatal maturational processes and their metabolic background were available. Urine (&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;quot;a window on the organism&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;quot;) is a biofluid particularly suitable for metabolomic analysis in neonatology because it may be collected by using simple, noninvasive techniques and because it may provide valuable diagnostic information. In this review, the authors report the few literature data on neonatal metabolomics, including their personal experience, in the following fields: intrauterine growth restriction, perinatal transition, asphyxia, brain injury and hypothermia, maternal milk evaluation, postnatal maturation, bronchiolitis, sepsis, patent ductus arteriosus, respiratory distress syndrome, nephrouropathies, metabolic diseases, antibiotic treatment, perinatal programming and long-term outcome in extremely low birth-weight infants.
Journal of Maternal-Fetal and Neonatal Medicine, 2011
Metabolomics is a technique used to non-invasively determine a snapshot of the current metabolic ... more Metabolomics is a technique used to non-invasively determine a snapshot of the current metabolic status of an organism by analyzing intact tissue or bio-fluids. The aim of the present preliminary study was to analyze metabolic profiles in preterm infants complicated by respiratory distress syndrome (RDS) trough bronchoalveolar lavage fluid (BALF) measurement. Twelve BALF samples collected at birth prior surfactant, post-surfactant during mechanical ventilation and at extubation time-points, were analyzed by proton nuclear magnetic resonance spectroscopy and Gas chromatography-Mass Spectrometry (GC-MS). GC-MS analysis identified 25 metabolites of whom 10 had a known molecular structure. They were: undecane, decanoic acid, dodecanoic acid, hexadecanoic acid, octadecanoic acid, hexadecanoic acid methyl ester, 9-octadecanoic acid, tetracosanoic acid, myristic acid, phosphate. These metabolites were over-expressed in BALF collected during mechanical ventilation after surfactant administration. The present preliminary data suggest that metabolic profile in BALF of RDS infants is becoming possible opening a new cue of metabolomics as promising tool in management of sick premature infants.
The metabolic study of an organism may make it possible to monitor, through the metabolites,the p... more The metabolic study of an organism may make it possible to monitor, through the metabolites,the physiology and/or pathology of the organism itself. Metabolomics, in the strictest sense, &amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;quot;the set of metabolites, the final products of the genetic expression&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;quot;. Most clinical chemistry tests available today rely on old technologies that measure only a single chemical in blood, urine or other biofluids, and these tests are neither sensitive nor specific for any particular disease. Metabolomics offers a holistic approach to systems medicine, with the promise to enhance clinical chemistry diagnostics in several pathologic conditions. The present review covers the application of clinical metabolomics in three different areas of respiratory diseases in pediatrics: asthma, pneumonia and bronchiolitis. Comparison between two 1H-NMR urine spectra by two bronchiolitis patients are also presented.
Perinatal asphyxia is attributed to hypoxia and/or ischemia around the time of birth and may lead... more Perinatal asphyxia is attributed to hypoxia and/or ischemia around the time of birth and may lead to multiorgan dysfunction. Aim of this research article is to investigate whether different metabolomic profiles occurred according to oxygen concentration administered at resuscitation. In order to perform the experiment, forty newborn piglets were subjected to normocapnic hypoxia and reoxygenation and were randomly allocated in 4 groups resuscitated with different oxygen concentrations, 18%, 21%, 40%, and 100%, respectively. Urine metabolic profiles at baseline and at hypoxia were analysed by 1 H-NMR spectroscopy and metabolites were also identified by multivariate statistical analysis. Metabolic pathways associations were also built up by ingenuity pathway analysis (IPA). Bioinformatics analysis of metabolites characterized the effect of metabolism in the 4 groups; it showed that the 21% of oxygen is the most "physiological" and appropriate concentration to be used for resuscitation. Our data indicate that resuscitation with 21% of oxygen seems to be optimal in terms of survival, rapidity of resuscitation, and metabolic profile in the present animal model. These findings need to be confirmed with metabolomics in human and, if so, the knowledge of the perinatal asphyxia condition may significantly improve.
Journal of Maternal-Fetal and Neonatal Medicine, 2012
The aim of the present study was to investigate the metabolic profile of preterm human breast mil... more The aim of the present study was to investigate the metabolic profile of preterm human breast milk (HBM) by using a metabolomic approach. Methods: NMR spectroscopy and GC/ MS were used to analyze the water-soluble and lipid fractions extracted from milk samples obtained from mothers giving birth at 26-36 weeks of gestation. For the sake of comparison, preterm formula milk was also studied. Results: The multivariate statistical analysis of the data evidenced biochemical variability both between preterm HBM and commercial milk and within the group of HBM samples. Conclusions: The preliminary results of this study suggest that metabolomics may provide a promising tool to study aspects related to the nutrition and health of preterm infant.
Journal of Maternal-Fetal and Neonatal Medicine, 2011
Background: Clinical metabolomics is a recent "omic" technology which is defined as a global holi... more Background: Clinical metabolomics is a recent "omic" technology which is defined as a global holistic overview of the personal metabolic status (fingerprinting). This technique allows to prove metabolic differences in different groups of people with the opportunity to explore interactions such as genotypephenotype and genotype-environment type, whether normal or pathological. Aim: To study chronic kidney injury 1) using urine metabolomic profiles of young adults born extremely low-birth weight (ELBW) and 2) correlating a biomarker of kidney injury, urinary neutrophil gelatinase-associated lipocalin (NGAL), in order to confirm the metabolomic injury profile. Method: Urine samples were collected from a group of 18 people (mean: 24-year-old, std: 4.27) who were born with ELBW and a group of 13 who were born at term appropriate for gestational age (AGA) as control (mean 25-year-old, std: 5.15). Urine samples were analyzed by 1 H-nuclear magnetic resonance spectroscopy, and then submitted to unsupervised and supervised multivariate analysis. Urine NGAL (uNGAL) was measured using ARCHITECT (ABBOTT diagnostic NGAL kit). Results: With a multivariate approach and using a supervised analysis method, PLS-DA, (partial least squares discriminant analysis) we could correlate ELBW metabolic profiles with uNGAL concentration. Conversely, uNGAL could not be correlated to AGA. Conclusions: This study demonstrates the relevance of the metabolomic technique as a predictive tool of the metabolic status of exELBW. This was confirmed by the use of uNGAL as a biomarker which may predict a subclinical pathological process in the kidney such as chronic kidney disease.
BioMed Research International, 2013
The Open Tissue Engineering and Regenerative Medicine Journal, 2009
Several acute and chronic inflammatory pathologies of the lung are accompanied by structural modi... more Several acute and chronic inflammatory pathologies of the lung are accompanied by structural modifications of airway mucosa that vary depending on the severity, duration and type of the disease. These morphological changes, that determine organ dysfunction, are not always reversible. Indeed, the cycle of injury and repair, influencing airway wall regeneration, may sometimes break off and an exacerbation of the pathology may occur. The mechanisms at the base of airway remodelling during inflammation have been widely studied and numerous evidences indicate that the molecular dialogue among the cells of the mucosa has an essential role in orchestrating cell differentiation and tissue repair. In this review, we revise old notions on pulmonary morphology at the light of some of the most recent discoveries concerning stem cell differentiation, tissue homeostasis and organ regeneration of the lung.
Journal of Maternal-Fetal and Neonatal Medicine, 2014