PROTOCOL - Leptin Signaling and its Relationship with Obesity-Induced Insulin Resistance: A Bioinformatics-assisted Review [The Project ATA]
Creators: name: Bonilla, Diego A.
Publisher: name: figshare
Year: 2024
Subjects: classificationCode: 310101
subject: Analytical biochemistry
classificationCode: 310202
subject: Biological network analysis
classificationCode: 420309
subject: Health management
classificationCode: 310208
subject: Translational and applied bioinformatics

description: <b>SIMPLE SUMMARY</b>Preliminary data shows that reduced sensitivity to leptin leads to diet-induced obesity. Hyperleptinemia serves as a marker of leptin resistance; thus, there is a correlation between genetics, dietary habits, and leptin deficiency in metabolic syndrome. This review aims to discuss the intricate molecular relationships between leptin, obesity, and insulin resistance. <b>METHODS</b>A bioinformatics-assisted review (BaR) will be performed following the procedure proposed by Bonilla et al. (2021, 2022). This review will be conducted as part of ‘The Project ATA’, a multicenter study proposed and currently led by the DBSS Research Division (ClinicalTrials.gov ID NCT05758311).<i>Search Strategy and Information Sources</i>The search process of the scientific literature was carried out using the free terms “leptin,” “insulin resistance,” and “obesity” through the databases PubMed/MEDLINE and Science Direct. <i>Manual Curation and Bioinformatics-assisted Review</i>The BaR addresses the lack of systematization in reviews that aim to update and/or analyze phenomena at the molecular level. To overcome subjective and manual time-consuming extraction of information, this approach utilizes experimentally validated, high-level manually curated, and reproducible data (open-source bioinformatics tools). Several public databases and repositories were accessed to retrieve manually curated biological information: UniProtKB (https://www.uniprot.org/), PDB (https://www.rcsb.org/), Ensembl (https://www.ensembl.org/index.html), The Gene Ontology Resource (http://geneontology.org/), The human protein atlas (https://www.proteinatlas.org/), BioGPS–Gene Portal System (http://biogps.org/).<br><b>Findings presentation</b>The functional annotations will be discussed within the literature review as well as the expert clinical interpretation as follows: i) Obesity, leptin resistance, and metabolic syndrome; ii) Relevant molecular mechanisms of leptin resistance; iii) Convergence of molecular pathways between leptin and insulin resistance; and iv) Conclusion.<b>REFERENCES</b><br>Bonilla, D. A., Kreider, R. B., Stout, J. R., Forero, D. A., Kerksick, C. M., Roberts, M. D., &amp; Rawson, E. S. (2021). Metabolic Basis of Creatine in Health and Disease: A Bioinformatics-Assisted Review. <i>Nutrients</i>, <i>13</i>(4), 1238. https://doi.org/10.3390/nu13041238Bonilla, D. A., Moreno, Y., Petro, J. L., Forero, D. A., Vargas-Molina, S., Odriozola-Martínez, A., Orozco, C. A., Stout, J. R., Rawson, E. S., &amp; Kreider, R. B. (2022). A Bioinformatics-Assisted Review on Iron Metabolism and Immune System to Identify Potential Biomarkers of Exercise Stress-Induced Immunosuppression. <i>Biomedicines</i>, <i>10</i>(3), 724. https://doi.org/10.3390/biomedicines10030724<br><i>Uploaded by the Research Division, Dynamical Business &amp; Science Society — DBSS International SAS, Bogotá 110311, Colombia. E-mail contact: dabonilla@dbss.pro</i>