Fitnome Catalog: a resource for physical exercise genetics data mining

Raquel Martins De Freitas,Juliana Osório Alves,Vânia Marilande Ceccatto,Christina Pacheco Santos Martin,Paula Matias Soares,Adriano César Carneiro Loureiro,Stela Mirla Silva Felipe,Luis Henrique Pontes Dos Santos

doi:10.53805/lads.v1i3.32

Abstract

Physical exercise (PE) in regularity is a well-characterized non-pharmaceutical intervention for good health and welfare. Molecular mechanisms regulated in response to PE can be scrutinized, with molecular biology, genomics, transcriptomics, and bioinformatics being inserted into exercise physiology studies. From a biotechnological perspective, omic datasets about physical exercise gene expression help identify phenotypic, genetic variance for different physical training phenotypes. Extensive lists of genes regulated by PE were dispersed within the literature, and the Fitnome Catalog (FitC) was created to reach some systematization of this information. Manual and online text-mining tools generated this dataset in PE human gene expression articles (2003-2014) with microarray, RNA-Seq, RT-PCR, and genotyping methods. Spreadsheets were developed with information on exercise protocol, experimental design, gender, age, number of individuals, analytical approach, gene ID, fold change and statistical data, and genetic architecture, encompassing 21 columns. The produced dataset (with 5,147 genes and 101,343 data points) provides experimental design, gene expression information, gene attributes, and references. Functional categorization of the FitC dataset and standardized information on PE-expressed genes were presented.

Highlights

Physical exercise (PE) in regularity is a well-characterized non-pharmaceutical intervention for good health and welfare
Physical Exercise (PE) induces gene expression regulation, leading to human regulatory systems. It is a non-pharmaceutical intervention for type 2 diabetes (COLBERG et al, 2010), heart disease (SEO et al, 2020), anxiety (STRÖHLE, 2009), and Alzheimer's (VASCONCELOS-FILHO et al, 2021);
Molecular mechanisms underlying the acute adaptations to PE can be scrutinized using molecular biology, bringing transcriptomics into exercise physiology studies (GOMES et al, 2020)

Summary

Introduction

Physical exercise (PE) in regularity is a well-characterized non-pharmaceutical intervention for good health and welfare. PACHECO, C. et al A compendium of physical exercise-related human genes: an 'omic scale analysis. Research with post-genomic analysis using 'omics data brings advances to PE studies; The text-mining approach (FONTAINE et al, 2011) was used to search for additional research papers linking human genes to physical exercise.

Results

Conclusion