| セッション情報 |
Session 1
Human Gut Microbiome in Health and Disease
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| タイトル |
IF1-2 Fluctuating Gut Flora under Infectious Diseases
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| 演者 |
Makoto Kuroda（Pathogen Genomics CenterNational Institute of Infectious DiseasesJapan） |
| 共同演者 |
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| 抄録 |
The bacterial communities of human neonates are different to those of adults ； indeedmany reportshave investigated the detailed development’@of the human infant intestinal microbiota． The compositionand temporal patterns of the microbial communities during the first post－natal year varied widely frombaby to babyand notable differences were found in Bac亡eroides一 or Lac亡obacilli－rich stool samples fromrespective babies． Furthermoredeep－comprehensive 16S－rDNA analysis of the microbiome revealed dis－crete steps of bacterial succession punctuated by 1ife events such as feverfoodand antibiotic treatment．We speculated that infectious disease such as enterovirus infectionfood poisoningand other typical en－teritis might affect the steady state of gut fiorabecause a balance of mucosal immunity could be damagedby growing unexpected pathogen in gut． Metagenomics approach provides genetic information of the or－ganism in stool sample comprehensivelywe investigated gut flora of infants suffering from infectious dis－ease or unknown pathogenesis．For instancethe etiology of Kawasaki disease （KD） is unknownprevious reports have detected endo－toxinsand unique T－cell receptor （TCR） VB expansion by certain superantigens in KD patients． Such ob－servations suggest that infectious agents could be potential candidates for the pathogenesis of KD． A lon－gitudinal analysis of gut flora in KD patients was performed using a next－generation DNA sequencing （il－lumina GAIIx）．The gut flora of all 8 KD patients obviously changed from onset to 6 months latersuggest－ing that patient－specific bacteria （such as Streptococcus） substantially disappeared significantly．In additionenteroviral infection appears to increase a proportion of gamma－proteobacteriaremarkablycompared to age－matched healthy control． Such comprehensive analysis suggests that it is not absolutelyconsistent during the most susceptible ages for many infectious diseases． |
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