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Identifying biomarkers and trajectories of executive functions and language development in the first 3 years of life: Design, methods, and findings of the Germina cohort study

Published online by Cambridge University Press:  05 March 2025

Daniel Fatori Open the ORCID record for Daniel Fatori [Opens in a new window] ,
Elizabeth Shephard ,
Danilo Benette ,
Nathalia Ferrazzo Naspolini ,
Grover Castro Guzman ,
Jaqueline Yu Ting Wang ,
Pedro Tótolo ,
Anthonieta Looman Mafra ,
Caio Isaias  and
Davi Pereira dos Santos
...Show all authors
Daniel Fatori*
Affiliation:
Departamento de Psiquiatria, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil Laboratorio de Psicopatologia e Terapeutica Psiquiatrica LIM-23, Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil
Elizabeth Shephard
Affiliation:
Departamento de Psiquiatria, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil Laboratorio de Psicopatologia e Terapeutica Psiquiatrica LIM-23, Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil Departamento de Psicologia da Aprendizagem do Desenvolvimento e da Personalidade, Instituto de Psicologia, Universidade de Sao Paulo, Sao Paulo, Brazil
Danilo Benette
Affiliation:
Departamento de Psiquiatria, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil
Nathalia Ferrazzo Naspolini
Affiliation:
Escola de Artes, Ciências e Humanidades EACH, Universidade de Sao Paulo, Sao Paulo, Brazil
Grover Castro Guzman
Affiliation:
Instituto de Matemática e Estatística, Universidade de Sao Paulo, Sao Paulo, Brazil
Jaqueline Yu Ting Wang
Affiliation:
Departamento de Genética e Biologia Evolutiva, Instituto de Biociências, Universidade de São Paulo, Sao Paulo, Brazil
Pedro Tótolo
Affiliation:
Instituto de Matemática e Estatística, Universidade de Sao Paulo, Sao Paulo, Brazil
Anthonieta Looman Mafra
Affiliation:
Departamento de Psiquiatria, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil
Caio Isaias
Affiliation:
Centro de Matemática, Computação e Cognição, São Bernardo do Campo, Universidade Federal do ABC, Sao Paulo, Brazil
Davi Pereira dos Santos
Affiliation:
Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, São Carlos, Brazil
Fabiele Baldino Russo
Affiliation:
Departamento de Microbiologia, Instituto de Ciências Biomédicas ICB, Universidade de São Paulo, São Paulo, Brazil
Gerson Kobayashi
Affiliation:
Departamento de Genética e Biologia Evolutiva, Instituto de Biociências, Universidade de São Paulo, Sao Paulo, Brazil
Adriana Argeu
Affiliation:
Departamento de Psiquiatria, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil
Monike Teixeira
Affiliation:
Departamento de Psiquiatria, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil
Ana Claudia Mattiello-Sverzut
Affiliation:
Departamento de Ciências da Saúde, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil
Maria Teresa Bechere Fernandes
Affiliation:
Departamento de Pediatria, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil
Danila Cristina Petian-Alonso
Affiliation:
Programa de Pós-Graduação em Reabilitação e Desempenho Funcional da Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, São Paulo, Ribeirão Preto, Brazil
Helena Brentani
Affiliation:
Departamento de Psiquiatria, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil
Marilia Scliar
Affiliation:
Departamento de Genética e Biologia Evolutiva, Instituto de Biociências, Universidade de São Paulo, Sao Paulo, Brazil
Paulo Alfonso Schüroff
Affiliation:
Escola de Artes, Ciências e Humanidades EACH, Universidade de Sao Paulo, Sao Paulo, Brazil
Pedro Zuccolo
Affiliation:
Departamento de Psiquiatria, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil
Rogério Lerner
Affiliation:
Departamento de Psicologia da Aprendizagem do Desenvolvimento e da Personalidade, Instituto de Psicologia, Universidade de Sao Paulo, Sao Paulo, Brazil
Stephania Geraldini
Affiliation:
Departamento de Psicologia da Aprendizagem do Desenvolvimento e da Personalidade, Instituto de Psicologia, Universidade de Sao Paulo, Sao Paulo, Brazil
Veronica Luiza Vale Euclydes
Affiliation:
Departamento de Psiquiatria, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil
Alicia Matijasevich
Affiliation:
Departamento de Medicina Preventiva, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
Alline Cristina de Campos
Affiliation:
Departamento de Farmacologia, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil
André Carlos Ponce de Carvalho
Affiliation:
Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, São Carlos, Brazil
André Fujita
Affiliation:
Instituto de Matemática e Estatística, Universidade de Sao Paulo, Sao Paulo, Brazil Division of Network AI Statistics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan
Carla R. Taddei
Affiliation:
Escola de Artes, Ciências e Humanidades EACH, Universidade de Sao Paulo, Sao Paulo, Brazil
Maria Rita Passos-Bueno
Affiliation:
Departamento de Genética e Biologia Evolutiva, Instituto de Biociências, Universidade de São Paulo, Sao Paulo, Brazil
Patricia Beltrão-Braga
Affiliation:
Departamento de Microbiologia, Instituto de Ciências Biomédicas ICB, Universidade de São Paulo, São Paulo, Brazil Institut Pasteur de São Paulo, Sao Paulo, Brazil
Guilherme Vanoni Polanczyk
Affiliation:
Departamento de Psiquiatria, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil
*
Corresponding author: Daniel Fatori; Email: daniel.fatori@usp.br
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Abstract

This paper reports the methods and preliminary findings of Germina, an ongoing cohort study to identify biomarkers and trajectories of executive functions and language development in the first 3 years of life. 557 mother-infant dyads (mean age of mothers 33.7 years, 65.2% white, 48.7% male infants) have undergone baseline and are currently collecting data for other timepoints. A linear regression was used to predict baseline Bayley-III using scores derived from data-driven sparse partial least squares utilizing a multiple holdout framework of 15 domains. Significant associations were found between socioeconomic/demographic characteristics (B = 0.29), epigenetics (B = 0.11), EEG theta (B = 0.14) and beta activity (B = 0.11), and microbiome functional pathways (B = 0.08) domains, and infant development measured by the Bayley-III at T1, suggesting potential interventions to prevent impairments.

Keywords

child developmentcohort studyelectroencephalographygeneticsgut microbiome
Type
Regular Article
Information
Development and Psychopathology , First View , pp. 1 - 11
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© The Author(s), 2025. Published by Cambridge University Press

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