41 research outputs found

    Rapid Low-Cost Microarray-Based Genotyping for Genetic Screening in Primary Immunodeficiency

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    Background: Genetic tests for primary immunodeficiency disorders (PIDs) are expensive, time-consuming, and not easily accessible in developing countries. Therefore, we studied the feasibility of a customized single nucleotide variant (SNV) microarray that we developed to detect disease-causing variants and copy number variation (CNV) in patients with PIDs for only 40 Euros. Methods: Probes were custom-designed to genotype 9,415 variants of 277 PID-related genes, and were added to the genome-wide Illumina Global Screening Array (GSA). Data analysis of GSA was performed using Illumina GenomeStudio 2.0, Biodiscovery Nexus 10.0, and R-3.4.4 software. Validation of genotype calling was performed by comparing the GSA with whole-genome sequencing (WGS) data of 56 non-PID controls. DNA samples of 95 clinically diagnosed PID patients, of which 60 patients (63%) had a genetically established diagnosis (by Next-Generation Sequencing (NGS) PID panels or Sanger sequencing), w

    Autoantibodies to αS1-Casein Are Induced by Breast-Feeding

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    BACKGROUND: The generation of antibodies is impaired in newborns due to an immature immune system and reduced exposure to pathogens due to maternally derived antibodies and placental functions. During nursing, the immune system of newborns is challenged with multiple milk-derived proteins. Amongst them, caseins are the main constituent. In particular, human αS1-casein (CSN1S1) was recently shown to possess immunomodulatory properties. We were thus interested to determine if auto-antibodies to CSN1S1 are induced by breast-feeding and may be sustained into adulthood. METHODS: 62 sera of healthy adult individuals who were (n = 37) or were not (n = 25) breast-fed against human CSN1S1 were investigated by a new SD (surface display)-ELISA. For cross-checking, these sera were tested for anti Epstein-Barr virus (EBV) antibodies by a commercial ELISA. RESULTS: IgG-antibodies were predominantly detected in individuals who had been nursed. At a cut-off value of 0.4, the SD-ELISA identified individuals with a history of having been breast-fed with a sensitivity of 80% and a specificity of 92%. Under these conditions, 35 out of 37 sera from healthy donors, who where breast-fed, reacted positively but only 5 sera of the 25 donors who were not breast-fed. The duration of breast-feeding was of no consequence to the antibody reaction as some healthy donors were only short term breast-fed (5 days minimum until 6 weeks maximum), but exhibited significant serum reaction against human CSN1S1 nonetheless. CONCLUSION: We postulate that human CSN1S1 is an autoantigen. The antigenicity is orally determined, caused by breast-feeding, and sustained into adulthood

    COVID-19 in children: Heterogeneity within the disease and hypothetical pathogenesis

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    A synbiotic mixture of scGOS/lcFOS and Bifidobacterium breve M-16V increases faecal Bifidobacterium in healthy young children

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    Little is known about the impact of nutrition on toddler gut microbiota. The plasticity of the toddler gut microbiota indicates that nutritional modulation beyond infancy could potentially impact its maturation. The objective of this study was to determine the effect of consuming Young Child Formula (YCF) supplemented with short chain galactooligosaccharides and long chain fructooligosaccharides (scGOS/lcFOS, ratio 9:1) and Bifidobacterium breve M-16V on the development of the faecal microbiota in healthy toddlers. A cohort of 129 Thai children aged 1-3 years were included in a randomised controlled clinical study. The children were assigned to receive either YCF with 0.95 g/100 ml of scGOS/lcFOS and 1.8×107 cfu/g of B. breve M-16V (Active-YCF) or Control-YCF for 12 weeks. The composition and metabolic activity of the faecal microbiota, and the level of secretory immunoglobulin A were determined in the stool samples. The consumption of Active-YCF increased the proportion of Bifidobacterium (mean 27.3% at baseline to 33.3%, at week 12, P=0.012) with a difference in change from baseline at week 12 between the Active and Control of 7.48% (P=0.030). The consumption of Active-YCF was accompanied with a more acidic intestinal milieu compared to the Control-YCF. The pH value decreased statistically significantly in the Active-YCF group from a median of 7.05 at baseline to 6.79 at week 12 (P < 0.001). The consumption of Active-YCF was associated with a softer pudding-like stool consistency compared to the Control-YCF. At week 6 and week 12, the betweengroup difference in stool consistency was statistically significant (P=0.004 and P < 0.001, respectively). A Young Child Formula supplemented with scGOS/lcFOS and B. breve M-16V positively influences the development of the faecal microbiota in healthy toddlers by supporting higher levels of Bifidobacterium. The synbiotic supplementation is also accompanied with a more acidic intestinal milieu and softer stools.</p

    Effects of growing-up milk supplemented with prebiotics and LCPUFAs on infections in young children

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    Objective: The aim of this study was to investigate the effect of growing-up milk (GUM) with added short-chain galacto-oligosaccharides (scGOS)/long-chain fructo-oligosaccharides (lcFOS) (9:1) (Immunofortis) and n-3 long-chain polyunsaturated fatty acids (LCPUFAs) on the occurrence of infections in healthy children attending day care centres. Methods: In a randomised double-blind controlled, parallel, multicountry intervention study, 767 healthy children, ages 11 to 29 months, received GUM with scGOS/lcFOS/LCPUFAs (the active group, n = 388), GUM without scGOS/lcFOS/LCPUFAs (the control group, n = 379), or cow's milk (n = 37) for 52 weeks. The primary outcome measure was the number of episodes of upper respiratory tract infections or gastrointestinal infections based on a combination of subject's illness symptoms reported by the parents during the intervention period. Results: Children in the active group compared with the control group had a decreased risk of developing at least 1 infection (299/388 77% vs 313/379 83%, respectively, relative risk 0.93, 95% confidence interval CI 0.87-1.00; logistic regression P = 0.03). There was a trend toward a reduction (P = 0.07) in the total number of infections in the active group, which was significant when confirmed by one of the investigators (268/388 69% vs 293/379 77%, respectively, relative risk 0.89, 95% CI 0.82-0.97; P = 0.004, post hoc). More infectious episodes were observed in the cow's milk group, when compared with both GUM groups (34/37 92% vs 612/767 80%, respectively, relative risk 1.15, 95% CI 1.04-1.28). Conclusions: This is the first study in children to show a reduced risk of infection following consumption of GUM supplemented with scGOS/lcFOS/n-3 LCPUFAs. The borderline statistical significance justifies a new study to confirm this finding

    Pediatric Prediction Model for Low Immunoglobulin G level based on Serum Globulin and Illness Status

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    Hypogammaglobulinemia is a condition that requires prompt diagnosis and treatment. Unfortunately, serum immunoglobulin (Ig) measurements are not widely accessible in numerous developing countries. Serum globulin is potentially the best candidate for screening of low IgG level (IgGLo) due to its high availability, low cost, and rapid turnover time. However, multiple factors may influence the probability of prediction. Our study aimed to establish a simple prediction model using serum globulin to predict the likelihood of IgGLo in children. For retrospective data of patients who were suspected of having IgGLo, both serum IgG and globulin were simultaneously collected and measured. Potential factors interfering with serum globulin and IgG levels were investigated for their impact using bivariate binary logistic regression. A multivariate binary logistic regression was used to generate a formula and score to predict IgGLo. We obtained 953 samples from 143 pediatric patients. A strong positive correlation between serum globulin and IgG levels was observed (r=0.83, p < 0.001). A screening test model using serum globulin and illness status was constructed to predict IgGLo. The formula for predicting IgGLo was generated as follows; Predicted score = (2 x globulin (g/dl)) – illness condition score (well=0, sick=1). When the score was <4, the patient has the probability of having IgGLo with a sensitivity of 0.78 (0.71, 0.84), a specificity of 0.71 (0.68, 0.74), PPV of 0.34 (0.29, 0.40) and NPV of 0.94 (0.92, 0.96). This formula will be useful as rapid and inexpensive screening tool for early IgGLo detection, particularly in countries/locations where serum IgG measurement is inaccessible
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