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INTRODUCTION: Treatment in the intensive care unit (ICU) generates complex data where machine learning (ML) modelling could be beneficial. Using routine hospital data, we evaluated the ability of multiple ML models to predict inpatient mortality in a paediatric population in a low/middle-income country. METHOD: We retrospectively analysed hospital record data from 0-59 months old children admitted to the ICU of Dhaka hospital of International Centre for Diarrhoeal Disease Research, Bangladesh. Five commonly used ML models- logistic regression, least absolute shrinkage and selection operator, elastic net, gradient boosting trees (GBT) and random forest (RF), were evaluated using the area under the receiver operating characteristic curve (AUROC). Top predictors were selected using RF mean decrease Gini scores as the feature importance values. RESULTS: Data from 5669 children was used and was reduced to 3505 patients (10% death, 90% survived) following missing data removal. The mean patient age was 10.8 months (SD=10.5). The top performing models based on the validation performance measured by mean 10-fold cross-validation AUROC on the training data set were RF and GBT. Hyperparameters were selected using cross-validation and then tested in an unseen test set. The models developed used demographic, anthropometric, clinical, biochemistry and haematological data for mortality prediction. We found RF consistently outperformed GBT and predicted the mortality with AUROC of ≥0.87 in the test set when three or more laboratory measurements were included. However, after the inclusion of a fourth laboratory measurement, very minor predictive gains (AUROC 0.87 vs 0.88) resulted. The best predictors were the biochemistry and haematological measurements, with the top predictors being total CO2, potassium, creatinine and total calcium. CONCLUSIONS: Mortality in children admitted to ICU can be predicted with high accuracy using RF ML models in a real-life data set using multiple laboratory measurements with the most important features primarily coming from patient biochemistry and haematology.
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Aprendizado de Máquina , Humanos , Bangladesh/epidemiologia , Lactente , Estudos Retrospectivos , Feminino , Masculino , Pré-Escolar , Recém-Nascido , Curva ROC , Mortalidade Hospitalar , Unidades de Terapia Intensiva/estatística & dados numéricosRESUMO
Severe malnutrition is associated with infections, namely lower respiratory tract infections (LRTIs), diarrhea, and sepsis, and underlies the high risk of morbidity and mortality in children under 5 years of age. Dysregulations in neutrophil responses in the acute phase of infection are speculated to underlie these severe adverse outcomes; however, very little is known about their biology in this context. Here, in a lipopolysaccharide-challenged low-protein diet (LPD) mouse model, as a model of malnutrition, we show that protein deficiency disrupts neutrophil mitochondrial dynamics and ATP generation to obstruct the neutrophil differentiation cascade. This promotes the accumulation of atypical immature neutrophils that are incapable of optimal antimicrobial response and, in turn, exacerbate systemic pathogen spread and the permeability of the alveolocapillary membrane with the resultant lung damage. Thus, this perturbed response may contribute to higher mortality risk in malnutrition. We also offer a nutritional therapeutic strategy, nicotinamide, to boost neutrophil-mediated immunity in LPD-fed mice.
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RATIONALE: Since the first documentation of skin changes in malnutrition in the early 18th century, various hair and skin changes have been reported in severely malnourished children globally. We aimed to describe the frequency and types of skin conditions in children admitted with acute illness to Queen Elizabeth Central Hospital, Blantyre, Malawi across a spectrum of nutritional status and validate an existing skin assessment tool. METHODS: Children between 1 week and 23 months of age with acute illness were enrolled and stratified by anthropometry. Standardised photographs were taken, and three dermatologists assessed skin changes and scored each child according to the SCORDoK tool. RESULTS: Among 103 children, median age of 12 months, 31 (30%) had severe wasting, 11 (11%) kwashiorkor (nutritional oedema), 20 (19%) had moderate wasting, 41 (40%) had no nutritional wasting and 18 (17%) a positive HIV antibody test. Six (5.8%) of the included patients died. 51 (50%) of children presented with at least one skin change. Pigmentary changes were the most common, observed in 35 (34%), with hair loss and bullae, erosions and desquamation the second most prevalent skin condition. Common diagnoses were congenital dermal melanocytosis, diaper dermatitis, eczema and postinflammatory hyperpigmentation. Severe skin changes like flaky paint dermatosis were rarely identified. Inter-rater variability calculations showed only fair agreement (overall Fleiss' kappa 0.25) while intrarater variability had a fair-moderate agreement (Cohen's kappa score of 0.47-0.58). DISCUSSION: Skin changes in hospitalised children with an acute illness and stratified according to nutritional status were not as prevalent as historically reported. Dermatological assessment by means of the SKORDoK tool using photographs is less reliable than expected.
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Estado Nutricional , Humanos , Lactente , Malaui/epidemiologia , Masculino , Feminino , Estudos Prospectivos , Doença Aguda , Recém-Nascido , Dermatopatias/epidemiologia , Dermatopatias/patologia , Dermatopatias/diagnóstico , Hospitalização/estatística & dados numéricos , Kwashiorkor/epidemiologia , Kwashiorkor/diagnóstico , Pele/patologiaRESUMO
Background: Growth faltering is well-recognized during acute childhood illness and growth acceleration during convalescence, with or without nutritional therapy, may occur. However, there are limited recent data on growth after hospitalization in low- and middle-income countries. Methods: We evaluated growth following hospitalization among children aged 2-23 months in sub-Saharan Africa and South Asia. Between November 2016 and January 2019, children were recruited at hospital admission and classified as: not-wasted (NW), moderately-wasted (MW), severely-wasted (SW), or having nutritional oedema (NO). We describe earlier (discharge to 45-days) and later (45- to 180-days) changes in length-for-age [LAZ], weight-for-age [WAZ], mid-upper arm circumference [MUACZ], weight-for-length [WLZ] z-scores, and clinical, nutritional, and socioeconomic correlates. Findings: We included 2472 children who survived to 180-days post-discharge: NW, 960 (39%); MW, 572 (23%); SW, 682 (28%); and NO, 258 (10%). During 180-days, LAZ decreased in NW (-0.27 [-0.36, -0.19]) and MW (-0.23 [-0.34, -0.11]). However, all groups increased WAZ (NW, 0.21 [95% CI: 0.11, 0.32]; MW, 0.57 [0.44, 0.71]; SW, 1.0 [0.88, 1.1] and NO, 1.3 [1.1, 1.5]) with greatest gains in the first 45-days. Of children underweight (<-2 WAZ) at discharge, 66% remained underweight at 180-days. Lower WAZ post-discharge was associated with age-inappropriate nutrition, adverse caregiver characteristics, small size at birth, severe or moderate anaemia, and chronic conditions, while lower LAZ was additionally associated with household-level exposures but not with chronic medical conditions. Interpretation: Underweight and poor linear growth mostly persisted after an acute illness. Beyond short-term nutritional supplementation, improving linear growth post-discharge may require broader individual and family support. Funding: Bill & Melinda Gates FoundationOPP1131320; National Institute for Health ResearchNIHR201813.
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One in three hospitalized children have disease-related malnutrition (DRM) upon admission to hospital, and all children are at risk for further nutritional deterioration during hospital stay; however, systematic approaches to detect DRM in Canada are lacking. To standardise and improve hospital care, the multidisciplinary pediatric working group of the Canadian Malnutrition Taskforce aimed to develop a pediatric, inpatient nutritional care pathway based on available evidence, feasibility of resources, and expert consensus. The working group (n = 13) undertook a total of four meetings: an in-person meeting to draft the pathway based on existing literature and modelled after the Integrated Nutrition Pathway for Acute Care (INPAC) in adults, followed by three online surveys and three rounds of online Delphi consensus meetings to achieve agreement on the draft pathway. In the first Delphi survey, 32 questions were asked, whereas in the second and third rounds 27 and 8 questions were asked, respectively. Consensus was defined as any question/issue in which at least 80% agreed. The modified Delphi process allowed the development of an evidence-informed, consensus-based pathway for inpatients, the Pediatric Integrated Nutrition Pathway for Acute Care (P-INPAC). It includes screening <24 h of admission, assessment with use of Subjective Global Nutritional Assessment (SGNA) <48 h of admission, as well as prevention, and treatment of DRM divided into standard, advanced, and specialized nutrition care plans. Research is necessary to explore feasibility of implementation and evaluate the effectiveness by integrating P-INPAC into clinical practice.
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Técnica Delphi , Avaliação Nutricional , Humanos , Criança , Canadá , Procedimentos Clínicos , Consenso , Desnutrição/terapia , Desnutrição/prevenção & controle , Desnutrição/diagnóstico , Estado Nutricional , Transtornos da Nutrição Infantil/terapia , Transtornos da Nutrição Infantil/diagnóstico , HospitalizaçãoRESUMO
BACKGROUNDS & AIMS: Childhood malnutrition is a major global health problem with long-term sequelae, including non-communicable diseases (NCDs). Mechanisms are unknown but may involve metabolic programming, resulting from "short-term" solutions to optimise survival by compromising non-priority organs. As key players in lipid metabolism, desaturases have been shown to be predictive of NCDs. We hypothesised that the association between specific desaturase activities and NCD risk determinants (including body composition, serum glucose, insulin levels, and blood pressure) are influenced by childhood post-malnutrition weight gain. METHODS: 278 Afro-Caribbean adults with well-documented clinical history of severe malnutrition in childhood were studied. Extensive metabolic analyses including body composition (DXA), fasting serum glucose and lipidomics (n = 101), and fasting serum insulin (n = 83) were performed in malnutrition survivors and matched community controls (n = 90). Established lipid ratios were used as proxies of desaturase activities: CE 16:1/CE 16:0 for stearoyl-CoA desaturase (SCD1), LysoPC 20:4/20:3 for fatty acid desaturase 1 (FADS1), and LysoPC 20:3/18:2 for FADS2. RESULTS: Compared to community controls, adult malnutrition survivors (mean ± SD) age 28.3 ± 7.8 and BMI 23.6 ± 5.2 had higher SCD1 and FADS1 activity, (B ± SE) 0.07 ± 0.02 and 0.7 ± 0.08, respectively, but lower FADS2 activities (B ± SE) -0.05 ± 0.01, adjusted for sex and age (p < 0.0005). SCD1 was positively associated with adult BMI and body fat percentage, and negatively associated with lean mass and height. Stratification based on weight gain during nutritional rehabilitation among malnutrition survivors might signal the potential associations between weight gain during that critical period, desaturase activities, and some of adult metabolic parameters, with the lowest tertiles (slowest catch-up weight gain) performing more similarly to controls. CONCLUSIONS: In adult survivors of early-life severe acute malnutrition, desaturase activity is associated with markers of NCD risk, especially adiposity. These associations seem to be strengthened by faster weight gain during nutritional rehabilitation.
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Insulinas , Desnutrição , Doenças não Transmissíveis , Adulto , Humanos , Adulto Jovem , Fatores de Risco Cardiometabólico , Aumento de Peso , GlucoseRESUMO
There is scarce data on energy expenditure in ill children with different degrees of malnutrition. This study aimed to determine resting energy expenditure (REE) trajectories in hospitalized malnourished children during and after hospitalization. We followed a cohort of children in Bangladesh and Malawi (2-23 months) with: no wasting (NW); moderate wasting (MW), severe wasting (SW), or edematous malnutrition (EM). REE was measured by indirect calorimetry at admission, discharge, 14-and-45-days post-discharge. 125 children (NW, n = 23; MW, n = 29; SW, n = 51; EM, n = 22), median age 9 (IQR 6, 14) months, provided 401 REE measurements. At admission, the REE of children with NW and MW was 67 (95% CI [58, 75]) and 70 (95% CI [63, 76]) kcal/kg/day, respectively, while REE in children with SW was higher, 79 kcal/kg/day (95% CI [74, 84], p = 0.018), than NW. REE in these groups was stable over time. In children with EM, REE increased from admission to discharge (65 kcal/kg/day, 95% CI [56, 73]) to 79 (95% CI [72, 86], p = 0.0014) and was stable hereafter. Predictive equations underestimated REE in 92% of participants at all time points. Recommended feeding targets during the acute phase of illness in severely malnourished children exceeded REE. Acutely ill malnourished children are at risk of being overfed when implementing current international guidelines.
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Assistência ao Convalescente , Desnutrição , Criança , Humanos , Estudos Longitudinais , Doença Aguda , Alta do Paciente , Metabolismo Basal , Metabolismo Energético , Caquexia , Reprodutibilidade dos TestesRESUMO
Undernutrition remains a global struggle and is associated with almost 45% of deaths in children younger than 5 years. Despite advances in management of severe wasting (though less so for nutritional edema), full and sustained recovery remains elusive. Children with severe wasting and/or nutritional edema (also commonly referred to as severe acute malnutrition and part of the umbrella term "severe malnutrition") continue to have a high mortality rate. This suggests a likely multifactorial etiology that may include micronutrient deficiency. Micronutrients are currently provided in therapeutic foods at levels based on expert opinion, with few supportive studies of high quality having been conducted. This narrative review looks at the knowledge base on micronutrient deficiencies in children aged 6-59 months who have severe wasting and/or nutritional edema, in addition to highlighting areas where further research is warranted (See "Future Directions" section).
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Selective autophagy is an essential process to maintain cellular homeostasis through the constant recycling of damaged or superfluous components. Over a dozen selective autophagy pathways mediate the degradation of diverse cellular substrates, but whether these pathways can influence one another remains unknown. We address this question using pexophagy, the autophagic degradation of peroxisomes, as a model. We show in cells that upregulated pexophagy impairs the selective autophagy of both mitochondria and protein aggregates by exhausting the autophagy initiation factor, ULK1. We confirm this finding in cell models of the pexophagy-mediated form of Zellweger Spectrum Disorder, a disease characterized by peroxisome dysfunction. Further, we extend the generalizability of limited selective autophagy by determining that increased protein aggregate degradation reciprocally reduces pexophagy using cell models of Parkinson's Disease and Huntington's Disease. Our findings suggest that the degradative capacity of selective autophagy can become limited by an increase in one substrate.
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Doença de Huntington , Doença de Parkinson , Humanos , Macroautofagia/genética , Autofagia/genética , Doença de Huntington/genética , Mitocôndrias/genética , Doença de Parkinson/genéticaRESUMO
The development of adequate growth and healthy eating behaviors depends on nutritious food and responsive feeding practices. Our study examined (1) the relationship between maternal concern about child weight or perceived feeding difficulties and their feeding practices, and (2) the moderating role of child temperament and maternal mental health on their feeding practices. A cross-sessional study included mother-child dyads (n = 98) from a tertiary growth and feeding clinic. Children had a mean age of 12.7 ± 5.0 months and a mean weight-for-age z-score of -2.0 ± 1.3. Responsive and controlling feeding practices were measured with the Infant Feeding Styles Questionnaire. Spearman correlation and moderation analysis were performed. Maternal concern about child weight and perceived feeding difficulties were negatively correlated with responsive feeding (r = -0.40, -0.48, p < 0.001). A greater concern about child weight or perceived feeding difficulties was associated with greater use of pressure feeding practices when effortful control was low (B = 0.49, t = 2.47, p = 0.01; B = -0.27, p = 0.008). Maternal anxiety had a significant moderation effect on the relationship between feeding difficulty and pressure feeding (B = -0.04, p = 0.009). Higher maternal concern about child weight and perceived feeding difficulties were associated with less responsive satiety feeding beliefs and behaviors. Both child effortful control and maternal anxiety influenced the relationship between weight and feeding concerns and the use of pressure feeding practices.
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Comportamento Alimentar , Mães , Feminino , Lactente , Humanos , Criança , Mães/psicologia , Comportamento Alimentar/psicologia , Relações Mãe-Filho/psicologia , Dieta Saudável , Poder Familiar , Inquéritos e Questionários , Comportamento Infantil/psicologia , Peso Corporal , Índice de Massa CorporalRESUMO
BACKGROUND: Growth studies rely on longitudinal measurements, typically represented as trajectories. However, anthropometry is prone to errors that can generate outliers. While various methods are available for detecting outlier measurements, a gold standard has yet to be identified, and there is no established method for outlying trajectories. Thus, outlier types and their effects on growth pattern detection still need to be investigated. This work aimed to assess the performance of six methods at detecting different types of outliers, propose two novel methods for outlier trajectory detection and evaluate how outliers affect growth pattern detection. METHODS: We included 393 healthy infants from The Applied Research Group for Kids (TARGet Kids!) cohort and 1651 children with severe malnutrition from the co-trimoxazole prophylaxis clinical trial. We injected outliers of three types and six intensities and applied four outlier detection methods for measurements (model-based and World Health Organization cut-offs-based) and two for trajectories. We also assessed growth pattern detection before and after outlier injection using time series clustering and latent class mixed models. Error type, intensity, and population affected method performance. RESULTS: Model-based outlier detection methods performed best for measurements with precision between 5.72-99.89%, especially for low and moderate error intensities. The clustering-based outlier trajectory method had high precision of 14.93-99.12%. Combining methods improved the detection rate to 21.82% in outlier measurements. Finally, when comparing growth groups with and without outliers, the outliers were shown to alter group membership by 57.9 -79.04%. CONCLUSIONS: World Health Organization cut-off-based techniques were shown to perform well in few very particular cases (extreme errors of high intensity), while model-based techniques performed well, especially for moderate errors of low intensity. Clustering-based outlier trajectory detection performed exceptionally well across all types and intensities of errors, indicating a potential strategic change in how outliers in growth data are viewed. Finally, the importance of detecting outliers was shown, given its impact on children growth studies, as demonstrated by comparing results of growth group detection.
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Desenvolvimento Infantil , Projetos de Pesquisa , Criança , Humanos , Análise por Conglomerados , LactenteRESUMO
BACKGROUND: Promoting and supporting breastfeeding is an important public health intervention with multiple benefits for both infants and mothers. Even modest increases in the prevalence and duration of breastfeeding could significantly reduce healthcare costs and improve maternal and child health outcomes. However, widespread adoption of breastfeeding recommendations remains poor in most settings, which contributes to widening health and social inequalities. Pediatricians have a duty to advocate for improving child health, including promoting and supporting breastfeeding. SUMMARY: This paper, from the International Pediatric Association Special Advisory Group on Nutrition, considers common barriers to breastfeeding and addresses how pediatricians can better promote and support breastfeeding, both at an individual level and by influencing practice and policy. All pediatricians need to understand the basics of breastfeeding, including lactation physiology, recognize common breastfeeding problems, and advise mothers or refer them for appropriate support; training curricula for general pediatricians and all pediatric subspecialties should reflect this. Even in the situation where their day-to-day work does not involve direct contact with mothers and infants, pediatricians can have an important influence on policy and practice. They should support colleagues who work directly with mothers and infants, ensuring that systems and environments are conducive to breastfeeding and, where appropriate, milk expression. Pediatricians and pediatric organizations should also promote policies aimed at promoting and supporting breastfeeding at local, regional, national, and international levels. KEY MESSAGES: Pediatricians have a duty to promote and support breastfeeding, regardless of their day-to-day role and responsibilities. Pediatric training curricula should ensure that all trainees acquire a good understanding of breastfeeding so they are able to effectively support mothers in their personal practice but also influence breastfeeding practice and policy at a local, regional, national, and international level.
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Aleitamento Materno , Promoção da Saúde , Lactente , Feminino , Humanos , Criança , Adolescente , Mães , Lactação/fisiologia , PediatrasRESUMO
BACKGROUND: Children admitted to hospital with complicated severe malnutrition (CSM) have high mortality despite compliance with standard WHO management guidelines. Limited data suggests a relationship between intestinal dysfunction and poor prognosis in CSM, but this has not been explicitly studied. This study aimed to evaluate the role of intestinal disturbances in CSM mortality. METHODS: A case-control study nested within a randomized control trial was conducted among children hospitalized with CSM in Kenya and Malawi. Children who died (cases, n = 68) were compared with those who were discharged, propensity matched to the cases on age, HIV and nutritional status (controls, n = 68) on fecal metabolomics that targeted about 70 commonly measured metabolites, and enteropathy markers: fecal myeloperoxidase (MPO), fecal calprotectin, and circulating intestinal fatty acid binding protein (I-FABP). RESULTS: The fecal metabolomes of cases show specific reductions in amino acids, monosaccharides, and microbial fermentation products, when compared to controls. SCFA levels did not differ between groups. The overall fecal metabolomics signature moderately differentiates cases from controls (AUC = 0.72). Enteropathy markers do not differ between groups overall, although serum I-FABP is elevated in cases in a sensitivity analysis among non-edematous children. Integrative analysis with systemic data suggests an indirect role of intestinal inflammation in the causal path of mortality. CONCLUSIONS: Intestinal disturbances appear to have an indirect association with acute mortality. Findings of the study improve our understanding of pathophysiological pathways underlying mortality of children with CSM.
Malnourished children are at a high risk of dying when exposed to an acute illness. They often have symptoms like diarrhea that indicate their gut is not working properly. It is unclear whether these gut problems contribute to their deaths. Feces contain numerous small molecules processed by the gut that reflect gut health. We compare these fecal molecules between malnourished children who died during hospitalization to those who survived, and relate them to signs of inflammation in the body. We show that the fecal molecules are different between children who died and those who survived. These differences reveal that poor gut health could increase risk of death, potentially by perturbing the body's defensive response to an acute illness. These findings underscore that treatment for ill severely malnourished children should focus on improving gut health.
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BACKGROUND: The intestine of children with severe malnutrition (SM) shows structural and functional changes that are linked to increased infection and mortality. SM dysregulates the tryptophan-kynurenine pathway, which may impact processes such as SIRT1- and mTORC1-mediated autophagy and mitochondrial homeostasis. Using a mouse and organoid model of SM, we studied the repercussions of these dysregulations on malnutrition enteropathy and the protective capacity of maintaining autophagy activity and mitochondrial health. METHODS: SM was induced through feeding male weanling C57BL/6 mice a low protein diet (LPD) for 14-days. Mice were either treated with the NAD+-precursor, nicotinamide; an mTORC1-inhibitor, rapamycin; a SIRT1-activator, resveratrol; or SIRT1-inhibitor, EX-527. Malnutrition enteropathy was induced in enteric organoids through amino-acid deprivation. Features of and pathways to malnutrition enteropathy were examined, including paracellular permeability, nutrient absorption, and autophagic, mitochondrial, and reactive-oxygen-species (ROS) abnormalities. FINDINGS: LPD-feeding and ensuing low-tryptophan availability led to villus atrophy, nutrient malabsorption, and intestinal barrier dysfunction. In LPD-fed mice, nicotinamide-supplementation was linked to SIRT1-mediated activation of mitophagy, which reduced damaged mitochondria, and improved intestinal barrier function. Inhibition of mTORC1 reduced intestinal barrier dysfunction and nutrient malabsorption. Findings were validated and extended using an organoid model, demonstrating that resolution of mitochondrial ROS resolved barrier dysfunction. INTERPRETATION: Malnutrition enteropathy arises from a dysregulation of the SIRT1 and mTORC1 pathways, leading to disrupted autophagy, mitochondrial homeostasis, and ROS. Whether nicotinamide-supplementation in children with SM could ameliorate malnutrition enteropathy should be explored in clinical trials. FUNDING: This work was supported by the Bill and Melinda Gates Foundation, the Sickkids Research Institute, the Canadian Institutes of Health Research, and the University Medical Center Groningen.
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INTRODUCTION: Ready-to-use therapeutic foods (RUTFs) have successfully promoted recovery from severe wasting and increased treatment coverage. However, RUTFs do not sufficiently improve linear growth, leaving many survivors of severe wasting at risk of persistent stunting, which is associated with high mortality risk, poor child development and non-communicable diseases in adulthood. High protein quantity and quality can stimulate linear growth. AIM: The trial aims to assess whether higher-protein-RUTF leads to higher concentrations of markers of linear growth compared to standard RUTF among 6-23 months old children with severe wasting. METHODS: We designed a higher protein quantity and quality RUTF for a proof-of-concept (PoC) double-blind randomized controlled trial. OUTCOMES: The primary outcome is a change in insulin-like growth factor-1 (IGF-1), a hormone positively associated with linear growth after four weeks of treatment. Secondary outcomes include changes in ponderal and linear growth and in body composition from baseline to eight weeks later; plasma amino acid profile at four weeks; acceptability and safety. IMPLICATIONS: These findings will help in informing the potential impact of increased protein in RUTF on linear growth when treating severe wasting towards conducting a larger clinical trial. TRIAL REGISTRATION: The trial has been registered on clinicaltrial.gov (NCT05737472).
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Caquexia , Desenvolvimento Infantil , Humanos , Lactente , Composição Corporal , Peso Corporal , Malaui , Ensaios Clínicos Controlados Aleatórios como AssuntoRESUMO
OBJECTIVE: Longitudinal patterns of growth in early childhood are associated with health conditions throughout life. Knowledge of such patterns and the ability to predict them can lead to better prevention and improved health promotion in adulthood. However, growth analyses are characterized by significant variability, and pattern detection is affected by the method applied. Moreover, pattern labelling is typically performed based on ad hoc methods, such as visualizations or clinical experience. Here, we propose a novel pipeline using features extracted from growth trajectories using mathematical, statistical and machine-learning approaches to predict growth patterns and label them in a systematic and unequivocal manner. METHODS: We extracted mathematical and clinical features from 9577 children growth trajectories embedded with machine-learning predictions of the growth patterns. We experimented with two sets of features (CAnonical Time-series Characteristics and trajectory features specific to growth), developmental periods and six machine-learning classifiers. Clinical experts provided labels for the detected patterns and decision rules were created to associate the features with the labelled patterns. The predictive capacity of the extracted features was validated on two heterogenous populations (The Applied Research Group for Kids and the 2004 Pelotas Birth Cohort, based in Canada and Brazil, respectively). RESULTS: Features predictive ability measured by accuracy and F1 score was ≥ 80% and ≥ 0.76 respectively in both cohorts. A small number of features (n = 74) was sufficient to distinguish between growth patterns in both cohorts. Slope, intercept of the trajectory, age at peak value, start value and change of the growth measure were among the top identified features. CONCLUSION: Growth features can be reliably used as predictors of growth patterns and provide an unbiased understanding of growth patterns. They can be used as tool to reduce the effort to repeat analysis and variability concerning anthropometric measures, time points and analytical methods, in the context of the same or similar populations.
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Desenvolvimento Infantil , Criança , Pré-Escolar , Humanos , Brasil , Canadá , Modelos Teóricos , Modelos Estatísticos , Aprendizado de MáquinaRESUMO
Peroxisomes are essential for mitochondrial health, as the absence of peroxisomes leads to altered mitochondria. However, it is unclear whether the changes in mitochondria are a function of preserving cellular function or a response to cellular damage caused by the absence of peroxisomes. To address this, we developed conditional hepatocyte-specific Pex16 deficient (Pex16 KO) mice that develop peroxisome loss and subjected them to a low-protein diet to induce metabolic stress. Loss of PEX16 in hepatocytes led to increased biogenesis of small mitochondria and reduced autophagy flux but with preserved capacity for respiration and ATP capacity. Metabolic stress induced by low protein feeding led to mitochondrial dysfunction in Pex16 KO mice and impaired biogenesis. Activation of PPARα partially corrected these mitochondrial disturbances, despite the absence of peroxisomes. The findings of this study demonstrate that the absence of peroxisomes in hepatocytes results in a concerted effort to preserve mitochondrial function, including increased mitochondrial biogenesis, altered morphology, and modified autophagy activity. Our study underscores the relationship between peroxisomes and mitochondria in regulating the hepatic metabolic responses to nutritional stressors.
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Biogênese de Organelas , Peroxissomos , Camundongos , Animais , Peroxissomos/metabolismo , Mitocôndrias/metabolismo , Fígado/metabolismo , AutofagiaRESUMO
Diet modulates the development of insulin resistance during aging. This includes tissue-specific alterations in insulin signaling and mitochondrial function, which ultimately affect glucose homeostasis. Exercise stimulates glucose clearance and mitochondrial lipid oxidation and also enhances insulin sensitivity (IS). It is not well known how exercise interacts with age and diet in the development of insulin resistance. To investigate this, oral glucose tolerance tests with tracers were conducted in mice ranging from 4 to 21 months of age, fed a low-fat diet (LFD) or high-fat diet (HFD) with or without life-long voluntary access to a running wheel (RW). We developed a computational model to derive glucose fluxes, which were commensurate with independent values from steady-state tracer infusions. Values for an IS index derived for peripheral tissues (IS-P) and one for the liver (IS-L) were steeply decreased by aging and an HFD. This preceded the age-dependent decline in the mitochondrial capacity to oxidize lipids. In young animals fed an LFD, RW access enhanced the IS-P concomitantly with the muscle ß-oxidation capacity. Surprisingly, RW access completely prevented the age-dependent IS-L decrease; however this only occurred in animals fed an LFD. Therefore, this study indicates that endurance exercise can improve the age-dependent decline in organ-specific IS if paired with a healthy diet. ARTICLE HIGHLIGHTS: Exercise is a known strategy to improve insulin sensitivity (IS), whereas aging and a lipid-rich diet decrease IS. Using a tracer-based oral glucose tolerance test, we investigated how exercise, age, and diet interact in the development of tissue-specific insulin resistance. Exercise (voluntary access to a running wheel) mainly improved IS in animals fed a low-fat diet. In these animals, exercise improved peripheral IS only at young age but fully prevented the age-dependent decline of hepatic IS. The prevention of age-dependent decline in IS by exercise is tissue-specific and blunted by a lipid-rich diet.
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Resistência à Insulina , Insulina , Camundongos , Animais , Resistência à Insulina/fisiologia , Teste de Tolerância a Glucose , Dieta Hiperlipídica , Glucose , Insulina Regular Humana , Lipídeos , Camundongos Endogâmicos C57BLRESUMO
Diet modulates the development of insulin resistance during aging. This includes tissue-specific alterations in insulin signaling and mitochondrial function, which ultimately affect glucose homeostasis. Exercise stimulates glucose clearance, mitochondrial lipid oxidation and enhances insulin sensitivity. It is not well known how exercise interacts with age and diet in the development of insulin resistance. To investigate this, oral glucose tolerance tests (OGTT) with a tracer were conducted in mice ranging from 4 to 21 months of age, fed a low- (LFD) or high-fat diet (HFD), with or without life-long voluntary access to a running wheel (RW). We developed a computational model to derive glucose fluxes, which were commensurate with independent values from steady-state tracer infusions. Both insulin sensitivity indices derived for peripheral tissues and liver (IS-P and IS-L, respectively) were steeply decreased by aging and a HFD. This preceded the age-dependent decline in the mitochondrial capacity to oxidize lipids. In LFD young animals, RW access enhanced the IS-P concomitantly with the muscle ß- oxidation capacity. Surprisingly, RW access completely prevented the age-dependent IS-L decrease, but only in LFD animals. This study indicates, therefore, that endurance exercise can improve the age-dependent decline in organ-specific IS mostly in the context of a healthy diet.
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Child growth patterns assessment is critical to design public health interventions. However, current analytical approaches may overlook population heterogeneity. To overcome this limitation, we developed a growth trajectories clustering pipeline that incorporates a shape-respecting distance, baseline centering (i.e., birth-size normalized trajectories) and Gestational Age (GA)-correction to characterize shape-based child growth patterns. We used data from 3945 children (461 preterm) in the 2004 Pelotas Birth Cohort with at least 3 measurements between birth (included) and 11 years of age. Sex-adjusted weight-, length/height- and body mass index-for-age z-scores were derived at birth, 3 months, and at 1, 2, 4, 6 and 11 years of age (INTERGROWTH-21st and WHO growth standards). Growth trajectories clustering was conducted for each anthropometric index using k-means and a shape-respecting distance, accounting or not for birth size and/or GA-correction. We identified 3 trajectory patterns for each anthropometric index: increasing (High), stable (Middle) and decreasing (Low). Baseline centering resulted in pattern classification that considered early life growth traits. GA-correction increased the intercepts of preterm-born children trajectories, impacting their pattern classification. Incorporating shape-based clustering, baseline centering and GA-correction in growth patterns analysis improves the identification of subgroups meaningful for public health interventions.