Nutrigenomics: Nutrient-Gene Interactions

Dietary encapsulated fennel seed (Foeniculum vulgare Mill.) essential oil supplementation improves performance, modifies the intestinal microflora, morphology, and transcriptome profile of broiler chickens

Global antimicrobial resistance has led to a ban on the use of antibiotics as growth promoters (AGPs) in poultry farming, encouraging the use of natural phytogenic feed additives that provide similar effects to AGPs without causing resistance. The aim of this study was to determine the effects of the addition of encapsulated fennel seed (Foeniculum vulgare Mill.) essential oil (FEO) into the diets on the performance, intestinal microflora, morphology, and transcriptomic profiling of broiler chickens. In the study, 400 one-d-old male chicks of the Ross-308 genotype were randomly distributed into five groups, each with 16 replicates of five birds. The experiment included a control group fed on basal diets without the addition of FEO and treatment groups supplemented with 50 (FEO50), 100 (FEO100), 200 (FEO200), or 400 (FEO400) mg of encapsulated FEO/kg. Body weight and the European Production Efficiency Factor values were higher in the FEO100, FEO200, and FEO400 groups (P < 0.05). The feed conversion ratio significantly improved at all FEO levels (P < 0.05). FEO supplementation improved duodenum, jejunum, and ileum morphologies. It enhanced mucosal layer thickness in the duodenum and jejunum, and muscular layer thickness in the jejunum and ileum (P < 0.05). It also increased the number of Lactobacillus spp. in the jejunum and ileum (P < 0.05). According to the transcriptome profile obtained from the microarray analysis of samples taken from small intestine tissues, the mRNA expression levels of 261 genes in the FEO50 group (206 upregulated and 55 downregulated), 302 genes in the FEO100 group (218 upregulated and 84 downregulated), 292 genes in the FEO200 group (231 upregulated and 61 downregulated), and 348 genes in the FEO400 group (268 upregulated and 80 downregulated) changed compared to the control group. Most upregulated genes were associated with catalytic activity, binding, transcription regulators and transcription factors, anatomical structure and cellular development, and protein binding activity modulators. The downregulated genes mostly belonged to the transporter, carrier, and protein-modifying enzyme classes. Besides, the anti-inflammatory IL-10 gene (4.41-fold) increased significantly in the FEO100 group compared to the control group (P < 0.05). In conclusion, FEO improved the performance of broiler chickens by regulating biological processes such as performance and intestinal health, with the 100 mg FEO/kg supplementation being the most prominent.

Drug-food Interactions in the Era of Molecular Big Data, Machine Intelligence, and Personalized Health

The drug-food interaction brings forth changes in the clinical effects of drugs. While favourable interactions bring positive clinical outcomes, unfavourable interactions may lead to toxicity. This article reviews the impact of food intake on drug-food interactions, the clinical effects of drugs, and the effect of drug-food in correlation with diet and precision medicine. Emerging areas in drug-food interactions are the food-genome interface (nutrigenomics) and nutrigenetics. Understanding the molecular basis of food ingredients, including genomic sequencing and pharmacological implications of food molecules, helps to reduce the impact of drug-food interactions. Various strategies are being leveraged to alleviate drug-food interactions; measures including patient engagement, digital health, approaches involving machine intelligence, and big data are a few of them. Furthermore, delineating the molecular communications across dietmicrobiome- drug-food-drug interactions in a pharmacomicrobiome framework may also play a vital role in personalized nutrition. Determining nutrient-gene interactions aids in making nutrition deeply personalized and helps mitigate unwanted drug-food interactions, chronic diseases, and adverse events from their onset. Translational bioinformatics approaches could play an essential role in the next generation of drug-food interaction research. In this landscape review, we discuss important tools, databases, and approaches along with key challenges and opportunities in drug-food interaction and its immediate impact on precision medicine.

Nutrigenomics research: a review

The excitement about nutrigenomics comes from a growing awareness of the potential for modifications of food or diet to support health and reduce the risk of diet-related diseases. It is an emerging field that tends to unfold the role of nutrition on gene expression which brings together the science of bioinformatics, nutrition, molecular biology, genomics, epidemiology, and molecular medicine. The present review focuses on nutrigenomics research and to find out India's status with respect to other countries. It covers the general overview of nutrigenomics, its associated diseases, and the role of SNP in gene alteration, diet supplementation and public awareness. It is understood that with the increasing changes in the food habits and life styles, people are becoming more prone to diet related disorders. Therefore there is an urgent need to boost more research in this field to help people in understanding the relationship between diet and health, and to ensure that everyone benefits from the genomic revolution.