Allergic disorders are common diseases marked by the abnormal immune response towards foreign antigens that are not pathogens. Often patients with food allergy also suffer from asthma and eczema. Given the similarities of these diseases and a shortage of effective treatments, developing novel therapeutics against common targets of multiple allergies would offer an efficient and cost-effective treatment for patients. Herein, we employed the artificial intelligence-driven target discovery platform, PandaOmics, to identify common targets for treating asthma, eczema, and food allergy. Thirty-two case-control comparisons were generated from 15, 11, and 6 transcriptomics datasets related to asthma (558 cases, 315 controls), eczema (441 cases, 371 controls), and food allergy (208 cases, 106 controls) respectively, and allocated into three meta-analyses for target identification. Top-100 high-confidence targets and Top-100 novel targets were prioritized by PandaOmics for each allergic disease. Six common high-confidence targets (i.e., IL4R, IL5, JAK1, JAK2, JAK3, and NR3C1) across all three allergic diseases have approved drugs for treating asthma and eczema. Based on the targets' dysregulated expression profiles and their mechanism of action in allergic diseases, three potential therapeutic targets were proposed. IL5 was selected as a high-confidence target due to its strong involvement in allergies. PTAFR was identified for drug repurposing, while RNF19B was selected as a novel target for therapeutic innovation. Analysis of the dysregulated pathways commonly identified across asthma, eczema, and food allergy revealed the well-characterized disease signature and novel biological processes that may underlie the pathophysiology of allergies. Altogether, our study dissects the shared pathophysiology of allergic disorders and reveals the power of artificial intelligence in the exploration of novel therapeutic targets.
Current regulations for organic pig and poultry production systems permit feed ingredients of non-organic origin at an inclusion rate of up to 5 per cent. This is primarily due to concerns that there is an insufficient supply of organic protein on the European Union market, in terms of quality and quantity, to meet the nutritional requirements of pigs and poultry raised on organic farms. However, 100 per cent organic diets for monogastric livestock will become compulsory in the EU from 1 January 2018, and there is therefore a need to develop sustainable feeding strategies based on organic feeds. This feed trial conducted in the UK explores the feasibility of using a silage-based feeding system for Gloucester Old Spot pigs, and compares the inclusion of soya, beans and peas as protein sources in terms of pig growth performance. No significant difference in the pen mean daily live weight gain was observed during the grower phase (pen mean age of 11-14 weeks) between the diet groups. However, during the finisher phase (pen mean age of 15-22 weeks), pigs on the soya and pea rations had significantly faster growth rates than pigs fed the bean ration. It is speculated that the slight shortfall in growth rate observed in the pigs fed the bean ration may be offset by the lower cost of production of beans in the UK. This feasibility trial demonstrates that a 100 per cent organic diet for pigs using alternative, locally-grown sources of protein as part of a forage-based ration can provide a viable alternative to a soya-based diet.
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