RESUMEN
Worldwide, over 2 billion children under the age of 5 experience stunting, wasting, or are underweight. Malnutrition contributes to 45% of all deaths in this age group (approximately 3.1 million deaths) [1]. Poverty, food insecurity, suboptimal feeding practices, climate change, and conflict are all contributing factors. Malnutrition causes significant respiratory problems, including increased risk of respiratory infections, impaired lung function, and increased risk of subsequent adult respiratory disease, including asthma, COPD, and lung cancer. Childhood malnutrition not only has serious consequences for children's health but it also has numerous consequences on wellbeing and educational attainment. Childhood malnutrition is a complex and multifaceted problem. However, by understanding and addressing the underlying causes, and investing in prevention and treatment programs, it is possible to maximize children's health and wellbeing on a global scale. This narrative review will focus on the impact of childhood malnutrition on lung development, the consequent respiratory disease, and what actions can be taken to reduce the burden of malnutrition on lung health.
RESUMEN
Breath analysis is an area of significant interest in medical research as it allows for non-invasive sampling with exceptional potential for disease monitoring and diagnosis. Volatile organic compounds (VOCs) found in breath can offer critical insight into a person's lifestyle and/or disease/health state. To this end, the development of a rapid, sensitive, cost-effective and potentially portable method for the detection of key compounds in breath would mark a significant advancement. Herein, we have designed, built and tested a novel reagent-less atmospheric pressure photoionisation (APPI) source, coupled with mass spectrometry (MS), utilising a bespoke bias electrode within a custom 3D printed sampling chamber for direct analysis of VOCs. Optimal APPI-MS conditions were identified, including bias voltage, cone voltage and vaporisation temperature. Calibration curves were produced for ethanol, acetone, 2-butanone, ethyl acetate and eucalyptol, yielding R2 > 0.99 and limits of detection < 10 pg. As a pre-clinical proof of concept, this method was applied to bacterial headspace samples of Escherichia coli (EC), Pseudomonas aeruginosa (PSA) and Staphylococcus aureus (SA) collected in 1 L Tedlar bags. In particular, PSA and SA are commonly associated with lung infection in cystic fibrosis patients. The headspace samples were classified using principal component analysis with 86.9% of the total variance across the first three components and yielding 100% classification in a blind-sample study. All experiments conducted with the novel APPI arrangement were carried out directly in real-time with low-resolution MS, which opens up exciting possibilities in the future for on-site (e.g., in the clinic) analysis with a portable system.
Asunto(s)
Presión Atmosférica , Fibrosis Quística , Espectrometría de Masas , Pseudomonas aeruginosa , Compuestos Orgánicos Volátiles , Fibrosis Quística/microbiología , Humanos , Compuestos Orgánicos Volátiles/análisis , Pseudomonas aeruginosa/aislamiento & purificación , Espectrometría de Masas/métodos , Pruebas Respiratorias/métodos , Escherichia coli/aislamiento & purificación , Staphylococcus aureus/aislamiento & purificaciónRESUMEN
BACKGROUND: Asthma is routinely treated with inhaled corticosteroids (ICS). Asthma patients on ICS are at increased risk of adrenal suppression, a potentially serious effect of long-term glucocorticoid exposure; however, this relationship is poorly understood. Therefore, this study aims to identify metabolite biomarkers related to adrenal suppression in asthma patients taking ICS. METHODS: A total of 571 urine metabolites from 200 children with asthma on ICS in the Pharmacogenetics of Adrenal Suppression with Inhaled Steroids (PASS) cohort were profiled. Samples were grouped by peak plasma cortisol measurement as adrenal sufficient (>350 nmol/L) or insufficient (≤350 nmol/L) (outcome). Regression and discriminant-based statistical models combined with network analyses were utilized to assess relationships between metabolites and the outcome. Finally, prioritized metabolites were validated using data from an ancillary study of the Childhood Asthma Management (CAMP) cohort with similar characteristics to PASS. RESULTS: Ninety metabolites were significantly associated with adrenal suppression, of which 57 also could discriminate adrenal status. While 26 metabolites (primarily steroids) were present at lower levels in the adrenal insufficient patients, 14 were significantly elevated in this group; the top metabolite, mannitol/sorbitol, was previously associated with asthma exacerbations. Network analyses identified unique clusters of metabolites related to steroids, fatty acid oxidation, and nucleoside metabolism, respectively. Four metabolites including urocanic acid, acetylcarnitine, uracil, and sorbitol were validated in CAMP cohort for adrenal suppression. CONCLUSIONS: Urinary metabolites differ among asthma patients on ICS, by adrenal status. While steroid metabolites were reduced in patients with poor adrenal function, our findings also implicate previously unreported metabolites involved in amino acid, lipid, and nucleoside metabolism.
Asunto(s)
Corticoesteroides , Asma , Metabolómica , Humanos , Asma/tratamiento farmacológico , Asma/orina , Asma/sangre , Asma/diagnóstico , Niño , Masculino , Femenino , Administración por Inhalación , Metabolómica/métodos , Corticoesteroides/administración & dosificación , Corticoesteroides/uso terapéutico , Biomarcadores/orina , Biomarcadores/sangre , Adolescente , Metaboloma/efectos de los fármacos , Insuficiencia Suprarrenal/diagnóstico , Insuficiencia Suprarrenal/sangre , Insuficiencia Suprarrenal/orina , Insuficiencia Suprarrenal/etiología , Insuficiencia Suprarrenal/tratamiento farmacológico , Preescolar , Hidrocortisona/sangre , Hidrocortisona/orina , Glándulas Suprarrenales/metabolismo , Glándulas Suprarrenales/efectos de los fármacos , Estudios de CohortesRESUMEN
INTRODUCTION: A child's living environment has a significant impact on their respiratory health, with exposure to poor indoor air quality (IAQ) contributing to potentially lifelong respiratory morbidity. These effects occur throughout childhood, from the antenatal period through to adolescence. Children are particularly susceptible to the effects of environmental insults, and children living in socioeconomic deprivation globally are more likely to breathe air both indoors and outdoors, which poses an acute and long-term risk to their health. Adult respiratory health is, at least in part, determined by exposures and respiratory system development in childhood, starting in utero. AREAS COVERED: This narrative review will discuss, from a global perspective, what contributes to poor IAQ in the child's home and school environment and the impact that indoor air pollution exposure has on respiratory health throughout the different stages of childhood. EXPERT OPINION: All children have the right to a living and educational environment without the threat of pollution affecting their health. Action is needed at multiple levels to address this pressing issue to improve lifelong respiratory health. Such action should incorporate a child's rights-based approach, empowering children, and their families, to have access to clean air to breathe in their living environment.