P0760THE INFLUENCE OF MICROBIOME COMPOSITION ON THE DEVELOPMENT OF IGA NEPHROPATHY

Abstract Background and Aims Overall, human microbiota contains 1014 bacterial cells. The human intestine is particularly dense of microbes, 1012 bacteria per g (dry weight), especially at colon level. Under healthy conditions, the human microbiota provides trophic and protective functions. Bacteroidaceae, and Prevotellaceae differed among IgA and Healthy Control subjects (HC). Enterobacteriaceae species were almost the highest in the fecal samples of patients. Bifidobacterium species decreased in the fecal samples of Patients compared to HC subjects. Increasing evidence indicates that changes in the microbiota composition known as Dysbiosis, can affect human health and disease. Altering the balance of the gut microbiota can also affect kidney physiology and pathology, such as IgAN. we hypothesize that the aberrantly IgA1 that produced in IgAN in response to a mucosal infection may be influenced by the composition of the patient microbiome by inducing excessive abnormal mucosal IgA responses. Study aim is to explore if IgAN patients have different microbiome composition compared with the healthy control individuals. Method Stool sample from 26 IgAN patients & from 26 healthy control individuals subjected to microbiome array and to taxonomic analysis, to characterize their microbiome compositions. Serum Creatinine\ albumin and urine proteinuria levels are used for evaluate the renal function of each IgAN patient. The clinical and laboratory evaluations will be crossed with the taxonomic data using statistical analysis methods. Results Based on our preliminary result with 11 IgAN patients and 11 healthy control individuals, there are significant differences in the microbiome composition between the two groups. IgAN patients have a significant increase in the Bacteroides phylum accompanied with a significant decrease in the amount of both the Actinobacteria and Verrucomicrobia phyla, compared with the healthy individuals. At the genus level, there is a significant increase in the Prevotella bacteria in the IgAN subjects compared with the healthy individuals. Conclusion 1. A strong association between specific bacteria population and IgAN disease, we isolate specific population of bacteria that leads to IgAN or even aggravate its manifestation. 2. It may help to predict the tendency of each individual to develop IgAN and even predict the prognosis of each IgAN patient according to their microbiome. 3. it is rational to alter the intestinal barrier, the content of gut microbiota and its metabolites in the realm of CKD using different strategies such Prebiotics and symbiosis. 4. To develop disease-specific therapies based on microbiome modulations and manipulations such as modifying the gut microbiota through diet, antibiotic therapies, probiotic, bariatric surgery, fecal transplants.