イツミ　モモエ   逸見　百江    所属   川崎医科大学  医学部 一般教養　自然科学    職種   助教
論文種別	原著
言語種別	英語
査読の有無	査読あり
表題	Novel antibody assessment method for microbial compositional alteration in the oral cavity.
掲載誌名	正式名：Biochemistry and biophysics reports 略　 称：Biochem Biophys Rep ISSNコード：24055808/24055808
掲載区分	国外
巻・号・頁	30,pp.101269
著者・共著者	Sumire Hoashi-Takiguchi, Hirobumi Morisaki, Momoe Itsumi, Mariko Kikuchi, Haruka Fukamachi, Mie Kurosawa, Michi Yamada, Noriyuki Suzuki, Hirotaka Kuwata
発行年月	2022/07
概要	Recently, it has been demonstrated that dysbiosis, an alteration in commensal microflora composition, is intimately involved in the onset of a variety of diseases. It is becoming increasingly evident that the composition of commensal microflora in the oral cavity is closely connected to oral diseases, such as periodontal disease, and systemic diseases, such as inflammatory bowel disease. Next-generation sequencing techniques are used as a method to examine changes in bacterial flora, but additional analytical methods to assess bacterial flora are needed to understand bacterial activity in more detail. In addition, the oral environment is unique because of the role of secretory antibodies contained in saliva in the formation of bacterial flora. The present study aimed to develop a new method for evaluating the compositional change of microbiota using flow cytometry (FCM) with specific antibodies against the bacterial surface antigen, as well as salivary antibodies. Using specific antibodies against Streptococcus mutans, a causative agent of dental caries, and human IgA, bacterial samples from human saliva were analyzed via FCM. The results showed that different profiles could be obtained depending on the oral hygiene status of the subjects. These results suggest that changes in the amount and type of antibodies that bind to oral bacteria may be an indicator for evaluating abnormalities in the oral flora. Therefore, the protocol established in this report could be applied as an evaluation method for alterations in the oral microbiota.
DOI	10.1016/j.bbrep.2022.101269
PMID	35518198