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Study Protocol: Gut microbiota profiles implicated in the onset of autism spectrum disorders in preterm infants: A two-year follow-up study

Published online by Cambridge University Press:  01 September 2022

P. Navalón ,
F. Ghosn ,
B. Almansa ,
I. Lara ,
A. Pinilla ,
Á. Solaz ,
C. Zapata De Miguel ,
Y. Cañada  and
A. García-Blanco
P. Navalón*
Affiliation:
La Fe Health Research Insitute, Neonatal Research Group, Valencia, Spain
F. Ghosn
Affiliation:
La Fe Health Research Insitute, Neonatal Research Group, Valencia, Spain
B. Almansa
Affiliation:
La Fe Health Research Insitute, Neonatal Research Group, Valencia, Spain
I. Lara
Affiliation:
La Fe Health Research Insitute, Neonatal Research Group, Valencia, Spain
A. Pinilla
Affiliation:
La Fe Health Research Insitute, Neonatal Research Group, Valencia, Spain
Á. Solaz
Affiliation:
La Fe Health Research Insitute, Neonatal Research Group, Valencia, Spain
C. Zapata De Miguel
Affiliation:
La Fe Health Research Insitute, Neonatal Research Group, Valencia, Spain
Y. Cañada
Affiliation:
La Fe Health Research Insitute, Mental Health Research Group, Valencia, Spain
A. García-Blanco
Affiliation:
La Fe Health Research Insitute, Neonatal Research Group, Valencia, Spain
*
*Corresponding author.

Abstract

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Introduction

Preterm infants are at high-risk of developing autism spectrum disorders (ASD). The underlying mechanisms that explain the link between prematurity and ASD are unclear. Perinatal environmental factors may disrupt the gut-brain communication, when the gut microbiome composition is established and brain programming occurs. Therefore, the disruption of the gut-brain axis communication in response to perinatal environmental events may shed light on the association between prematurity and ASD.

Objectives

To describe a new research project protocol which aim is to develop a dynamic model of gut microbiota variation in response to environmental factors that modulate the ASD risk in preterm infants.

Methods

A two-year prospective observational study will be carried out, in which preterm infants will be assessed at birth, 40th postmenstrual week, at 6, 12, and 24 months of corrected age. Two-hundred preterm infants will be recruited. A comprehensive assessment will be conducted by collecting data on sociodemographic characteristics, medical history, family functioning, neurodevelopment, ASD screening, and diagnosis. Microbiome composition and microbial activity will be determined from feces.

Results

The expected results are: i) to characterize ASD since its early manifestations in an at-risk population, allowing an early diagnosis and intervention to improve clinical outcomes; ii) to identify early microbiota biomarkers in order to find potential pathophysiological pathways; iii) to understand the protective and risk factors associated to ASD since perinatal period.

Conclusions

A two-year predictive model will be generated based on environmental and gut microbiota variables. This predictive model of ASD would allow prevention, early diagnosis, improvement of prognosis, and personalized treatments in preterm infants.

Disclosure

No significant relationships.

Keywords

Autism Spectrum Disordersmicrobiotaprematurityfollow-up study
Type
Abstract
Information
European Psychiatry , Volume 65 , Special Issue S1: Abstracts of the 30th European Congress of Psychiatry , June 2022 , pp. S276
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of the European Psychiatric Association
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