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Association of Microbiota-Derived Propionic Acid and Alzheimer’S Disease; Bioinformatics Analysis Publisher



Aliashrafi M1, 2 ; Nasehi M1, 3 ; Zarrindast MR1, 4, 5 ; Joghataei MT6, 7 ; Zali H8, 9 ; Siadat SD10, 11, 12
Authors
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Authors Affiliations
  1. 1. Department of Cognitive Neuroscience, Institute for Cognitive Science Studies, Tehran, Iran
  2. 2. Shahid Beheshti University, Tehran, Iran
  3. 3. Cognitive and Neuroscience Research Center, Amir-Almomenin Hospital, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
  4. 4. Department of Pharmacology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
  5. 5. Department of Neuroendocrinology, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
  6. 6. Molecular and Cellular Research Center, Iran University of Medical Sciences, Tehran, Iran
  7. 7. Department of Neuroscience, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran
  8. 8. Proteomics Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  9. 9. Department of Tissue Engineering and Applied Cell Sciences, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  10. 10. Microbiology Research Center, Pasteur Institute of Iran, Tehran, Iran
  11. 11. Mycobacteriology & Pulmonary Research Department, Pasteur Institute of Iran, Tehran, Iran
  12. 12. Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran

Source: Journal of Diabetes and Metabolic Disorders Published:2020


Abstract

Purpose: Microbiota-derived metabolites could alter the brain tissue toward the neurodegeneration disease. This study aims to select the genes associated with Propionic acid (PPA) and compromise Alzheimer’s disease (AD) to find the possible roles of PPA in AD pathogenesis. Methods: Microbiota-derived metabolites could alter the brain tissue toward the neurodegeneration disease. This study aims to select the genes associated with Propionic acid (PPA) and compromise Alzheimer’s disease (AD) to find the possible roles of PPA in AD pathogenesis. Results: Amongst all genes associated with PPA and AD, 284 genes to be shared by searching databases and were subjected to further analysis. AD-PPA genes mainly involved in cancer, bacterial and virus infection, and neurological and non-neurological diseases. Gene Ontology and pathway analysis covered the most AD hallmark, such as amyloid formation, apoptosis, proliferation, inflammation, and immune system. Network analysis revealed hub and bottleneck genes. MCODE analysis also indicated the seed genes represented in the significant subnetworks. ICAM1 and CCND1 were the hub, bottleneck, and seed genes. Conclusions: PPA interacted genes implicated in AD act through pathways initiate neuronal cell death. In sum up, AD-PPA shared genes exhibited evidence that supports the idea PPA secreted from bacteria could alter brain physiology toward the emerging AD signs. This idea needs to confirm by more future investigation in animal models. © 2020, Springer Nature Switzerland AG.