Cargando…

Gut microbiota, behavior, and nutrition after type 1 diabetes diagnosis: A longitudinal study for supporting data in the metabolic control

INTRODUCTION: Type 1 diabetes (T1D) risk involves genetic susceptibility but also epigenetics, environment, and behaviors. Appropriate metabolic control, especially quickly after the diagnosis, is crucial for the patient quality of life. METHODS: This study aimed to produce a quantitative comparison...

Descripción completa

Detalles Bibliográficos
Autores principales: Traversi, Deborah, Scaioli, Giacomo, Rabbone, Ivana, Carletto, Giulia, Ferro, Arianna, Franchitti, Elena, Carrera, Deborah, Savastio, Silvia, Cadario, Francesco, Siliquini, Roberta, Cerutti, Franco, Durazzo, Marilena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763620/
https://www.ncbi.nlm.nih.gov/pubmed/36562032
http://dx.doi.org/10.3389/fnut.2022.968068
_version_ 1784853100426690560
author Traversi, Deborah
Scaioli, Giacomo
Rabbone, Ivana
Carletto, Giulia
Ferro, Arianna
Franchitti, Elena
Carrera, Deborah
Savastio, Silvia
Cadario, Francesco
Siliquini, Roberta
Cerutti, Franco
Durazzo, Marilena
author_facet Traversi, Deborah
Scaioli, Giacomo
Rabbone, Ivana
Carletto, Giulia
Ferro, Arianna
Franchitti, Elena
Carrera, Deborah
Savastio, Silvia
Cadario, Francesco
Siliquini, Roberta
Cerutti, Franco
Durazzo, Marilena
author_sort Traversi, Deborah
collection PubMed
description INTRODUCTION: Type 1 diabetes (T1D) risk involves genetic susceptibility but also epigenetics, environment, and behaviors. Appropriate metabolic control, especially quickly after the diagnosis, is crucial for the patient quality of life. METHODS: This study aimed to produce a quantitative comparison of the behavior, nutrition habits, and gut microbiota composition between the onset and the 1-year follow-up in 35 children with T1D. RESULTS AND DISCUSSION: At follow-up, with the metabolic control, many parameters improved significantly, with respect to the onset, such as glycated hemoglobin (−19%), body mass index (BMI), and also nutritional behaviors, such as normal calorie intake (+6%), carbohydrate intake (−12%), extra portion request (−4%), and meals distribution during the day. Moreover, glycated hemoglobin decrement correlated with both total and rapid absorption carbohydrate intake (Spearman's rho = 0.288, 95% CI 0.066–0.510, p = 0.013), showing as the nutritional behavior supported the insulin therapy efficiency. The next-generation sequencing (NGS) analysis of microbiota revealed abundance differences for Ruminococcus bromii and Prevotella copri (higher at onset, p < 0.001) and the genera Succinivibrio and Faecalibacterium (lower at onset, p < 0.001), as a consequence of nutritional behavior, but it was not the only changing driver. The qRT-PCR analysis showed significant variations, in particular for Bacteroidetes and Bifidobacterium spp. (+1.56 log gene copies/g stool at follow-up, p < 0.001). During the year, in 11% of the patients, severe clinical episodes occurred (hypoglycemic or ketoacidosis). The likelihood of a severe hypoglycemic episode was modulated when the Methanobrevibacter smithii amount increased (odds ratio 3.7, 95% CI 1.2–11.4, p = 0.026). Integrated evaluation, including nutritional behavior and microbiota composition, could be considered predictive of the metabolic control management for children cohort with a recent diagnosis of T1D.
format Online
Article
Text
id pubmed-9763620
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-97636202022-12-21 Gut microbiota, behavior, and nutrition after type 1 diabetes diagnosis: A longitudinal study for supporting data in the metabolic control Traversi, Deborah Scaioli, Giacomo Rabbone, Ivana Carletto, Giulia Ferro, Arianna Franchitti, Elena Carrera, Deborah Savastio, Silvia Cadario, Francesco Siliquini, Roberta Cerutti, Franco Durazzo, Marilena Front Nutr Nutrition INTRODUCTION: Type 1 diabetes (T1D) risk involves genetic susceptibility but also epigenetics, environment, and behaviors. Appropriate metabolic control, especially quickly after the diagnosis, is crucial for the patient quality of life. METHODS: This study aimed to produce a quantitative comparison of the behavior, nutrition habits, and gut microbiota composition between the onset and the 1-year follow-up in 35 children with T1D. RESULTS AND DISCUSSION: At follow-up, with the metabolic control, many parameters improved significantly, with respect to the onset, such as glycated hemoglobin (−19%), body mass index (BMI), and also nutritional behaviors, such as normal calorie intake (+6%), carbohydrate intake (−12%), extra portion request (−4%), and meals distribution during the day. Moreover, glycated hemoglobin decrement correlated with both total and rapid absorption carbohydrate intake (Spearman's rho = 0.288, 95% CI 0.066–0.510, p = 0.013), showing as the nutritional behavior supported the insulin therapy efficiency. The next-generation sequencing (NGS) analysis of microbiota revealed abundance differences for Ruminococcus bromii and Prevotella copri (higher at onset, p < 0.001) and the genera Succinivibrio and Faecalibacterium (lower at onset, p < 0.001), as a consequence of nutritional behavior, but it was not the only changing driver. The qRT-PCR analysis showed significant variations, in particular for Bacteroidetes and Bifidobacterium spp. (+1.56 log gene copies/g stool at follow-up, p < 0.001). During the year, in 11% of the patients, severe clinical episodes occurred (hypoglycemic or ketoacidosis). The likelihood of a severe hypoglycemic episode was modulated when the Methanobrevibacter smithii amount increased (odds ratio 3.7, 95% CI 1.2–11.4, p = 0.026). Integrated evaluation, including nutritional behavior and microbiota composition, could be considered predictive of the metabolic control management for children cohort with a recent diagnosis of T1D. Frontiers Media S.A. 2022-12-06 /pmc/articles/PMC9763620/ /pubmed/36562032 http://dx.doi.org/10.3389/fnut.2022.968068 Text en Copyright © 2022 Traversi, Scaioli, Rabbone, Carletto, Ferro, Franchitti, Carrera, Savastio, Cadario, Siliquini, Cerutti and Durazzo. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Nutrition
Traversi, Deborah
Scaioli, Giacomo
Rabbone, Ivana
Carletto, Giulia
Ferro, Arianna
Franchitti, Elena
Carrera, Deborah
Savastio, Silvia
Cadario, Francesco
Siliquini, Roberta
Cerutti, Franco
Durazzo, Marilena
Gut microbiota, behavior, and nutrition after type 1 diabetes diagnosis: A longitudinal study for supporting data in the metabolic control
title Gut microbiota, behavior, and nutrition after type 1 diabetes diagnosis: A longitudinal study for supporting data in the metabolic control
title_full Gut microbiota, behavior, and nutrition after type 1 diabetes diagnosis: A longitudinal study for supporting data in the metabolic control
title_fullStr Gut microbiota, behavior, and nutrition after type 1 diabetes diagnosis: A longitudinal study for supporting data in the metabolic control
title_full_unstemmed Gut microbiota, behavior, and nutrition after type 1 diabetes diagnosis: A longitudinal study for supporting data in the metabolic control
title_short Gut microbiota, behavior, and nutrition after type 1 diabetes diagnosis: A longitudinal study for supporting data in the metabolic control
title_sort gut microbiota, behavior, and nutrition after type 1 diabetes diagnosis: a longitudinal study for supporting data in the metabolic control
topic Nutrition
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763620/
https://www.ncbi.nlm.nih.gov/pubmed/36562032
http://dx.doi.org/10.3389/fnut.2022.968068
work_keys_str_mv AT traversideborah gutmicrobiotabehaviorandnutritionaftertype1diabetesdiagnosisalongitudinalstudyforsupportingdatainthemetaboliccontrol
AT scaioligiacomo gutmicrobiotabehaviorandnutritionaftertype1diabetesdiagnosisalongitudinalstudyforsupportingdatainthemetaboliccontrol
AT rabboneivana gutmicrobiotabehaviorandnutritionaftertype1diabetesdiagnosisalongitudinalstudyforsupportingdatainthemetaboliccontrol
AT carlettogiulia gutmicrobiotabehaviorandnutritionaftertype1diabetesdiagnosisalongitudinalstudyforsupportingdatainthemetaboliccontrol
AT ferroarianna gutmicrobiotabehaviorandnutritionaftertype1diabetesdiagnosisalongitudinalstudyforsupportingdatainthemetaboliccontrol
AT franchittielena gutmicrobiotabehaviorandnutritionaftertype1diabetesdiagnosisalongitudinalstudyforsupportingdatainthemetaboliccontrol
AT carreradeborah gutmicrobiotabehaviorandnutritionaftertype1diabetesdiagnosisalongitudinalstudyforsupportingdatainthemetaboliccontrol
AT savastiosilvia gutmicrobiotabehaviorandnutritionaftertype1diabetesdiagnosisalongitudinalstudyforsupportingdatainthemetaboliccontrol
AT cadariofrancesco gutmicrobiotabehaviorandnutritionaftertype1diabetesdiagnosisalongitudinalstudyforsupportingdatainthemetaboliccontrol
AT siliquiniroberta gutmicrobiotabehaviorandnutritionaftertype1diabetesdiagnosisalongitudinalstudyforsupportingdatainthemetaboliccontrol
AT ceruttifranco gutmicrobiotabehaviorandnutritionaftertype1diabetesdiagnosisalongitudinalstudyforsupportingdatainthemetaboliccontrol
AT durazzomarilena gutmicrobiotabehaviorandnutritionaftertype1diabetesdiagnosisalongitudinalstudyforsupportingdatainthemetaboliccontrol