Metabolomics of head and neck cancer in biofluids: an integrative systematic review.

INTRODUCTION: Head and neck cancer (HNC) is the fifth most common cancer globally. Diagnosis at early stages are critical to reduce mortality and improve functional and esthetic outcomes associated with HNC. Metabolomics is a promising approach for discovery of biomarkers and metabolic pathways for risk assessment and early detection of HNC. OBJECTIVES: To summarize and consolidate the available evidence on metabolomics and HNC in plasma/serum, saliva, and urine. METHODS: A systematic search of experimental research was executed using PubMed and Web of Science. Available data on areas under the curve was extracted. Metabolic pathway enrichment analysis were performed to identify metabolic pathways altered in HNC. Fifty-four studies were eligible for data extraction (33 performed in plasma/serum, 15 in saliva and 6 in urine). RESULTS: Metabolites with high discriminatory performance for detection of HNC included single metabolites and combination panels of several lysoPCs, pyroglutamate, glutamic acid, glucose, tartronic acid, arachidonic acid, norvaline, linoleic acid, propionate, acetone, acetate, choline, glutamate and others. The glucose-alanine cycle and the urea cycle were the most altered pathways in HNC, among other pathways (i.e. gluconeogenesis, glycine and serine metabolism, alanine metabolism, etc.). Specific metabolites that can potentially serve as complementary less- or non-invasive biomarkers, as well as metabolic pathways integrating the data from the available studies, are presented. CONCLUSION: The present work highlights utility of metabolite-based biomarkers for risk assessment, early detection, and prognostication of HNC, as well as facilitates incorporation of available metabolomics studies into multi-omics data integration and big data analytics for personalized health.

Metabolomic Studies in Inborn Errors of Metabolism: Last Years and Future Perspectives.

The inborn errors of metabolism (IEMs or Inherited Metabolic Disorders) are a heterogeneous group of diseases caused by a deficit of some specific metabolic pathways. IEMs may present with multiple overlapping symptoms, sometimes difficult delayed diagnosis and postponed therapies. Additionally, many IEMs are not covered in newborn screening and the diagnostic profiling in the metabolic laboratory is indispensable to reach a correct diagnosis. In recent years, Metabolomics helped to obtain a better understanding of pathogenesis and pathophysiology of IEMs, by validating diagnostic biomarkers, discovering new specific metabolic patterns and new IEMs itself. The expansion of Metabolomics in clinical biochemistry and laboratory medicine has brought these approaches in clinical practice as part of newborn screenings, as an exam for differential diagnosis between IEMs, and evaluation of metabolites in follow up as markers of severity or therapies efficacy. Lastly, several research groups are trying to profile metabolomics data in platforms to have a holistic vision of the metabolic, proteomic and genomic pathways of every single patient. In 2018 this team has made a review of literature to understand the value of Metabolomics in IEMs. Our review offers an update on use and perspectives of metabolomics in IEMs, with an overview of the studies available from 2018 to 2022.

Resolvins' Obesity-Driven Deficiency: The Implications for Maternal-Fetal Health.

Since pregnancy is already characterized by mild but significant inflammatory activity in physiological conditions, when complicated by obesity the probability of a persistent inflammatory state increases, with consequent multiple repercussions that add up to the complications associated with acute inflammation. In this context, the role of resolvins, specialized pro-resolving mediators (SPMs), deriving from omega-3 essential fatty acids, may be crucial. Indeed, differential production in numerous high-risk conditions associated with both childbirth and neonatal health, the correlation between maternal omega-3 intake and resolvin concentrations in maternal blood and at the placental level, and the high values found in breast milk in the first month of breastfeeding, are some of the most important hallmarks of these autacoids. In addition, a growing body of scientific evidence supports the lack of SPMs, at the level of immune-metabolic tissues, in the case of obesity. Furthermore, the obesity-related lack of SPMs seems to be decisive in the context of the current outbreak of COVID-19, as it appears to be one of the causes associated with the higher incidence of complications and negative outcomes of SARS-CoV-2 infection. The usefulness of metabolomics in this field appears clear, given that through the metabolome it is possible to observe the numerous and complex interactions between the mother, the placenta and the fetus in order to identify specific biomarkers useful in the prediction, diagnosis and monitoring of the various obstetric conditions. However, further investigations are needed in order to evaluate the possible use of some resolvins as biomarkers of maternal-fetal outcomes but also to establish adequate integration values in pregnant women with omega-3 fatty acids or with more active derivatives that guarantee optimal SPM production under risky conditions.

Metabolomics, Microbiomics, Machine learning during the COVID-19 pandemic.

COVID-19 pandemic has a significant impact worldwide, from the point of view of public health, social, and economic aspects. The correct strategies of diagnosis and global management are still under debate. In the next future, we firmly believe that combining the so-called 3 M's (metabolomics, microbiomics, and machine learning [artificial intelligence]) will be the optimal, accurate tool for the early diagnosis of COVID-19 subjects, risk assessment and stratification, patient management, and decision-making. If the currently available preliminary data obtain further confirms, through future studies on larger samples, simple biomarkers will provide predictive models for data analysis and interpretation, allowing a step toward personalized holistic medicine.

The Docosahexanoic Acid: From the Maternal-Fetal Dyad to Early Life Toward Metabolomics.

Docosahexaenoic acid (DHA) is an essential ω-3 long-chain polyunsaturated fatty acid (LCPUFA) and represents the dominant structural fatty acid in the retina and in the brain's gray matter. Due to its active participation in the development of the nervous system, DHA is one of the most studied LCPUFA and is currently considered a critical nutrient during pregnancy and breastfeeding. Increasing evidence in literature suggests that an adequate concentration of DHA is required from the fetal stage through to early life to ensure optimal neurological development. Likewise, many studies in literature demonstrated that an adequate supply of DHA during pregnancy and lactation is essential to promote proper brain development in utero and in early life. Daily supplementation of DHA in newborns has potentially stronger effects compared to maternal supplementation during pregnancy. Supplementation initiated in the second year of life in children born preterm did not result in global cognitive development improvements. Preliminary findings arising from metabolomics has reported that mother's milk and infant formula supplementation of Vitamin D associated with DHA results in a higher antioxidant and protective action, with a possible positive influence on renal function and body fat on preterm infants compared to those receiving only vitamin D. Recent applications of metabolomic studies on newborns may lead to a better understanding of the metabolic process linked to early nutrition and, subsequently, to the development of targeted and personalized nutritional strategies.

The Human Breast Milk Metabolome in Overweight and Obese Mothers.

Pre-pregnancy body mass index (BMI) is a major relevance factor, since maternal overweight and obesity can impair the pregnancy outcome and represent risk factors for several neonatal, childhood, and adult conditions, including excessive weight gain, cardiovascular disease, diabetes mellitus, and even behavioral disorders. Currently, breast milk (BM) composition in such category of mothers was not completely defined. In this field, metabolomics represents the ideal technology, able to detect the whole profile of low molecular weight molecules in BM. Limited information is available on human BM metabolites differences in overweight or obese compared to lean mothers. Analyzing all the metabolomics studies published on Medline in English language, this review evaluated the effects that 8 specific types of metabolites found altered by maternal overweight and obesity (nucleotide derivatives, 5-methylthioadenosine, sugar-alcohols, acylcarnitine and amino acids, polyamines, mono-and oligosaccharides, lipids) can exert on the risk of offspring obesity development and other potentially associated health outcomes and complications. However, metabolites variations in samples collected from overweight and obese mothers and the potentially correlated effects highlighted below still need further investigations and should be confirmed in future metabolomics studies on larger samples. Finally, the positive or negative influence of maternal overweight and obesity on the offspring, potentially exerted by breastfeeding, should be analyzed in close correlation with maternal age, genetic and environmental factors, including diet, and taking into account the interactions occurring between BM metabolites and lactobiome. The evaluation of all the factors affecting BM metabolites in overweight and obese mothers can lead to the comprehensive description of such biofluid and the related effects on breastfed subjects, potentially highlighting personalized needs of BM supplementation or short- and long-term prevention strategies to optimize offspring health.

Urinary Metabolomic Profile of Preterm Infants Receiving Human Milk with Either Bovine or Donkey Milk-Based Fortifiers.

Fortification of human milk (HM) for preterm and very low-birth weight (VLBW) infants is a standard practice in most neonatal intensive care units. The optimal fortification strategy and the most suitable protein source for achieving better tolerance and growth rates for fortified infants are still being investigated. In a previous clinical trial, preterm and VLBW infants receiving supplementation of HM with experimental donkey milk-based fortifiers (D-HMF) showed decreased signs of feeding intolerance, including feeding interruptions, bilious gastric residuals and vomiting, with respect to infants receiving bovine milk-based fortifiers (B-HMF). In the present ancillary study, the urinary metabolome of infants fed B-HMF (n = 27) and D-HMF (n = 27) for 21 days was analyzed by 1H NMR spectroscopy at the beginning (T0) and at the end (T1) of the observation period. Results showed that most temporal changes in the metabolic responses were common in the two groups, providing indications of postnatal adaptation. The significantly higher excretion of galactose in D-HMF and of carnitine, choline, lysine and leucine in B-HMF at T1 were likely due to different formulations. In conclusion, isocaloric and isoproteic HM fortification may result in different metabolic patterns, as a consequence of the different quality of the nutrients provided by the fortifiers.

Is the body composition development in premature infants associated with a distinctive nuclear magnetic resonance metabolomic profiling of urine?

OBJECTIVE: Preterm infants' body composition at term-corrected age differs from that of term infants but appears to be similar at the age of 3 months. The aim of this study was to compare the metabolomic pattern of preterm infants at term and at 3 months with that of term infants and to determine its association with body composition development. METHOD: We designed a pilot study. Growth and body composition were evaluated by an air displacement plethysmography system in 13 preterm infants and seven term newborns at term and at 3 months of corrected age. Urine samples were collected at the same time points and analysed by nuclear magnetic resonance. RESULTS: At term-corrected age, preterm infants showed a higher fat mass percentage compared with that of term newborns, whereas at 3 months of corrected age, the body composition parameters were similar between the groups. At the first time point, nuclear magnetic resonance analysis showed a urinary increase in choline/phosphocholine, betaine and glucose in preterm infants. At the second time point, the preterm group exhibited a urinary increase in choline/phosphocholine and a decrease in betaine. CONCLUSIONS: The increased urinary excretion of choline, a betaine precursor, could reflect a potential altered metabolism in preterm infants.

"Omics" in Human Colostrum and Mature Milk: Looking to Old Data with New Eyes.

Human Milk (HM) is the best source for newborn nutrition until at least six months; it exerts anti-inflammatory and anti-infective functions, promotes immune system formation and supports organ development. Breastfeeding could also protect from obesity, diabetes and cardiovascular disease. Furthermore, human colostrum (HC) presents a peculiar role in newborn support as a protective effect against allergic and chronic diseases, in addition to long-term metabolic benefits. In this review, we discuss the recent literature regarding "omics" technologies and growth factors (GF) in HC and the effects of pasteurization on its composition. Our aim was to provide new evidence in terms of transcriptomics, proteomics, metabolomics, and microbiomics, also in relation to maternal metabolic diseases and/or fetal anomalies and to underline the functions of GF. Since HC results are so precious, particularly for the vulnerable pre-terms category, we also discuss the importance of HM pasteurization to ensure donated HC even to neonates whose mothers are unable to provide. To the best of our knowledge, this is the first review analyzing in detail the molecular pattern, microbiota, bioactive factors, and dynamic profile of HC, finding clinical correlations of such mediators with their possible in vivo effects and with the consequent impact on neonatal outcomes.

Metabolomic analysis of urine with Nuclear Magnetic Resonance spectroscopy in patients with idiopathic sudden sensorineural hearing loss: A preliminary study.

OBJECTIVE: Idiopathic sudden sensorineural hearing loss is a frequent emergency, with unknown aetiology and usually treated with empiric therapy. Steroids represent the only validated treatment but prognosis is unpredictable and the possibility to select the patients who will not respond to steroids could avoid unnecessary treatments. Metabolomic profiling of the biofluids target the analysis of the final product of genic expression and enzymatic activity, defining the biochemical phenotype of a whole biologic system. METHODS: We studied the metabolomics of the urine of a cohort of patients with idiopathic sudden sensorineural hearing loss, correlating the metabolic profiles with the clinical outcomes. Metabolomic profiling of urine samples was performed by 1H Nuclear Magnetic Resonance spectroscopy in combination with multivariate statistical approaches. RESULTS: 26 patients were included in the study: 5 healthy controls, 13 patients who did not recover after treatment at 6 months while the remaining 8 patients recovered from the hearing loss. The orthogonal partial least square-discriminant analysis score plot showed a significant separation between the two groups, responders and non-responders after steroid therapy, R2Y of 0.83, Q2 of 0.38 and p value <0.05. The resulting metabolic profiles were characterized by higher levels of urinary B-Alanine, 3-hydroxybutyrate and Trimethylamine N-oxide, and lower levels of Citrate and Creatinine in patients with worst outcome. CONCLUSION: Idiopathic sudden sensorineural hearing loss is a specific disease with unclear systemic changes, but our data suggest that there are different types of this disorder or patients predisposed to effective action of steroids allowing the recover after treatment.

Proteomics applied to pediatric medicine: opportunities and challenges.

INTRODUCTION: Care in pediatrics often refers to treatments directed to adults. However, childhood is a specific life period, with molecular pathways connected to development and thereby it requires distinctive considerations and special treatments under disease. Proteomics can help to elucidate the molecular mechanisms underlying the human development and disease onset in pediatric age and this review is devoted to underline the results recently obtained in the field. AREAS COVERED: The contribution of proteomics to the characterization of physiological modifications occurring during human development is presented. The proteomic studies carried out to elucidate the molecular mechanisms underlying different pediatric pathologies and to discover new markers for early diagnosis and prognosis of disease, comprising genetic and systemic pathologies, sepsis and pediatric oncology are thereafter reported. The investigations concerning milk composition in human and farm mammals are also presented. Finally, the chances offered by the integration of different -omic platforms are discussed. Expert commentary: The growing utilization of holistic technologies such as proteomics, metabolomics and microbiomics will allow, in the near future, to define at the molecular level the complexity of human development and related diseases, with great benefit for future generations.

Soluble CD14 subtype (sCD14-ST) presepsin in premature and full term critically ill newborns with sepsis and SIRS.

Neonatal sepsis still remains a major cause of morbidity and mortality in neonatal intensive care unit (NICU). Recently, soluble CD14 subtype (sDC14-ST) also named presepsin, was proposed as an effective biomarker for diagnosing, monitoring, and assessing the risk of neonatal sepsis and septic shock. The aim of this study was to investigate the diagnostic accuracy of sCD14-ST presepsin in diagnosing neonatal bacterial sepsis and in discriminating non-bacterial systemic inflammatory response syndrome (SIRS) from bacterial sepsis. This study involved 65 critically ill full-term and preterm newborns admitted to the neonatal intensive care unit (NICU), divided into three groups: 25 newborns with bacterial neonatal sepsis (group A); 15 newborns with a diagnosis of non-bacterial SIRS and with no localizing source of bacterial infection (group B); and 25 babies with no clinical or bacteriological signs of systemic or local infection receiving routine NICU care, most of them treated with phototherapy for neonatal jaundice (group C). A total of 102 whole blood samples were collected, 40 in group A, 30 in group B and 32 in group C. In 10 babies included in group A, sCD14-ST presepsin was also measured in an additional second blood sample collected 3 days after the start of antibiotic treatment. sCD14-ST presepsin was measured by a commercially available chemiluminescent enzyme immunoassay (CLEIA) optimized on an automated immunoassay analyzer. Statistical analysis was performed by means of MedCalc® statistical package; receiver operating characteristic (ROC) analysis was computed, and the area under the ROC curve (AUC) was used to evaluate the ability of sCD14-ST to discriminate neonatal bacterial sepsis from non-bacterial SIRS. Blood sCD14-ST presepsin levels were found significantly higher in bacterial sepsis when compared with controls (p<0.0001); similarly, they were higher in non-bacterial SIRS when compared with controls (p<0.0001). However, no statistically significant difference was found between bacterial sepsis and non-bacterial SIRS (p=0.730). In our population, CRP and sCD14-ST did not correlate with each other. ROC analysis revealed that sCD14-ST presepsin has an area under the curve (AUC) of 0.995 (95% C.I.: 0.941-1.00) greater than that of CRP (0.827; 95% C.I.: 0.72-0.906). Similarly, in the group of babies with non-infectious SIRS, sCD14-ST AUC was greater than CRP AUC (0.979; 95% C.I.: 0.906-0.999 versus 0.771; 95% C.I.: 0.647-0.868). In controls, preliminary reference intervals for sCD14-ST ranged 223.4-599.7 ng/L, being significantly different from those previously published elsewhere. In conclusion, sCD14-ST presepsin could be introduced in clinical practice as a diagnostic tool for improving the management of neonatal sepsis and non-bacterial SIRS.

Physiopathology of intrauterine growth retardation: from classic data to metabolomics.

It is well known that adverse conditions during intrauterine life, such as intrauterine growth restriction (IUGR), can result in permanent changes in the physiology and metabolism of the newborn, which in turn leads to an increased risk of disease in adulthood (fetal origin of adult disease hypothesis). In the first part of this review the epidemiological studies in which a correlation between low birth weight and chronic pathologies in adulthood was observed are reported. The second part of the review is focused on metabolomics studies that have revealed an altered metabolism in IUGR patients compared to controls. Together with more classic biomarkers of IUGR, such as endothelin-1, leptin, protein S100B and visfatin, the new holistic metabolomics approach has assumed a crescent role in the identification of disorders in the neonatal metabolic profile, determined by the interconnection of the different processes.

A metabolomic study of preterm human and formula milk by high resolution NMR and GC/MS analysis: preliminary results.

OBJECTIVE: 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.

Pharma-metabolomics in neonatology: is it a dream or a fact?

The 'omics' technologies represent analytical approaches that have a holistic view on molecules such as genes, transcripts, proteins and metabolites constituting a cell, tissue or organism. The profiling of genes, transcripts and proteins has been referred to as genomics, transcriptomics and proteomics. Finally, there is the youngest and most rapidly increasing of the "omics" disciplines: metabolomics. Metabolomics appears to be a new, very useful tool in neonatology, especially in the fields of pharma-metabolomics and nutri- metabolomics. Since it appears to be predictive and preventive, it can be considered the 'new clinical chemistry' for personalized neonatal medicine. At present, the use of metabolomics in neonatology is still in the pioneering phase. In clinical practice, only a limited number of metabolites are routinely measured in the biofluids of newborns by conventional analytical methods to study the metabolic status of the organism. However, the management of sick or preterm newborns might be improved if more information on perinatal/ neonatal maturational processes and their metabolic background were available. The aim of this review, after a general introduction on pharma-metabolomics, is to present the potential of NMR-based metabolomic analysis of newbom urine in neonatology in the field of pharmacology.

Metabolomics in paediatric respiratory diseases and bronchiolitis.

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, "the set of metabolites, the final products of the genetic expression". 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.

The role of the laboratory in choosing antibiotics.

OBJECTIVE: Antimicrobial resistance is one of the biggest problem in medicine at the beginning of the third millennium. Antibiotic resistance is frequently associated with significant morbidity, longer hospitalization, excess costs and mortality. METHODS: In this work we discussed the role of clinical microbiology laboratory as an essential part for an effective infection control program, especially in management and treatment of "difficult infections". RESULTS: At present time, laboratory personnel have a broad range of new technologies that they can use to support and enhance the efforts of the infection control staff. In addition a network of established experts in the determination of antimicrobial breakpoints and in antimicrobial susceptibility testing has been constituted in Europe under the auspices of the European Society of Clinical Microbiology and Infectious Diseases (ESCMID) and the European Centre for Disease Prevention and Control (ECDC). CONCLUSION: Qualified personnel and new strategies to overcome drug resistance can contribute to solve the microbial infections problems.

Clinical metabolomics and urinary NGAL for the early prediction of chronic kidney disease in healthy adults born ELBW.

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 genotype-phenotype 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.

Adjuvant treatments for Henoch-Schönlein purpura nephritis in children: A systematic review.

BACKGROUND: The management of Henoch-Schönlein purpura nephritis (HSPN) in childhood is controversial. Adjuvant therapies such as immunoglobulin, anticoagulants, and vitamins have been used with conventional treatments despite a lack of evidence of their efficacy. OBJECTIVE: The aim of this study was to review the scientific literature regarding adjuvant treatments administered with conventional drugs in the treatment of childhood HSPN. METHODS: Published articles were identified from the MEDLINE and EMBASE databases (1988-December 2008; key words: Henoch-Schönlein nephritis and Henoch-Schönlein purpura). The search was limited to published English-language studies on therapeutic options for HSPN in children. RESULTS: A total of 12 studies were identified and included in this review; most (n = 8) were case series or retrospective studies. Studies of conventional therapy combined with adjuvant treatment should be interpreted with caution. In particular, factor XIII administration was reported to improve kidney symptoms in 1 study. Based on the results from 9 studies, no convincing evidence on intravenous immunoglobu-lin, urokinase, or anticoagulants was identified. No substantial information was available on the benefit of antiplatelet agents or heparin in treating HSPN. Integrating treatment with vitamin E was not recommended based on the results from 1 randomized controlled trial. Fish oil was reported to be effective in 1 case series. CONCLUSIONS: Studies concerning the treatment of HSPN in children with adjuvant therapies were retrospective and recommendations were drawn from level IV evidence. One randomized controlled trial on the use of tocopherol as adjuvant treatment was identified; however, no clinical utility was reported. At present, there is no strong evidence supporting benefits with the use of adjuvant treatments.