Breastfeeding and its long-term effect on Finnish youngster's oral microbiome

• Grant number: 18/24278-1
• Support Opportunities: Scholarships abroad - Research Internship - Doctorate
• Start date: April 15, 2019
• End date: July 14, 2019
• Field of knowledge: Health Sciences - Medicine - Medical Clinics
• Principal Investigator: Sandra Roberta Gouvea Ferreira Vivolo
• Grantee: Ilana Eshriqui Oliveira
• Supervisor: Heli Viljakainen
• Host Institution: Faculdade de Saúde Pública (FSP). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Institution abroad: Folkhälsan Research Center, Finland
• Associated to the scholarship: 17/13087-8 - Breastfeeding and other early life events and its association with dietary patterns, body composition e cardiometabolic profile during adult life, BP.DR

Abstract

Background: Early life events, such as breastfeeding, and gut microbiome have been associated with the development of metabolic diseases. It is known that breastfeeding potentially influences infant microbiome establishment, but whether this association is maintained in the long-run is unclear. Objectives: To compare breastfeeding according to maternal characteristics and early life events, and to verify if breastfeeding is associated with oral microbiome composition in Finnish youngsters. Methods: Participants aged 9-12 years, from the baseline of "The Finnish Health in Teens study" (Fin-HIT) with available data regarding oral microbiome and type of feeding (n = 477) or breastfeeding duration (n = 178) information will be included. Youngsters who reported recent use of antibiotics will be excluded. Type of feeding (only breastfed/other) during the first 6 months of life and breastfeeding duration (<6/e 6 months) will be the main exposures. Breastfeeding as well as other maternal and early life information were collected from Finnish national records and recalled by mothers/guardians. The outcome consists on oral microbiome composition, evaluated as relative abundances of sequences variants (ASVs); diversity (both continuous) and genera clusters (categories). Saliva samples were self-collected; 16S protocol was used to microbial amplification, Illumina HiSeq to perform the sequencing of PCR amplicons and SILVA database for the alignment of the high-quality sequence read and to classify the taxonomy. Statistics will include cluster analysis, general linear model and Shannon diversity index. Stratification by mode of delivery will be considered. (AU)