Identifying sepsis susceptibility genes in post-surgical patients using an artificial intelligence approach

The combination of GWAS and XAI prioritized loci associated with post-operative sepsis susceptibility. The determination of key genes, such as <i>PRIM2</i>, <i>SYNPR</i>, and <i>RBSN</i>, through pre-operative blood tests could enhance risk stratification, enable early detection of post-operative sepsis, and guide targeted interventions to improve patient outcomes. Further research with additional and ethnically diverse cohorts comprising sepsis and non-sepsis patients undergoing major surgery is needed to validate these exploratory findings.

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Publication Details

Journal
Frontiers in Medicine
Published
2025-12-15
DOI
https://doi.org/10.3389/fmed.2025.1644800
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Identifying sepsis susceptibility genes in post-surgical patients using an artificial intelligence approach

Mario Lorenzo‐López, Hugo Gonzalo‐Benito, Álvaro Tamayo-Velasco, Salvador Resino et al.
Frontiers in Medicine
Sepsis Diagnosis and Treatment
article

Identifying sepsis susceptibility genes in post-surgical patients using an artificial intelligence approach

Mario Lorenzo‐López, Hugo Gonzalo‐Benito, Álvaro Tamayo-Velasco, Salvador Resino, Marta Martín-Fernández, Amanda Fernández‐Rodríguez, Inés Quintela, Raquel Cruz, J. Álvarez, Fernando Vaquerizo-Villar, Aurora Baluja, Tamara Hernández-Beeftink, Roberto Hornero, E Suarez-Pajes, Sonia Veiras, Eduardo Tamayo, María Heredia‐Rodríguez, Pedro Martínez-Paz, Ángel Carracedo, María Ángeles Jiménez‐Sousa, Laura Martínez-Campelo, Rocío López-Herrero, Adrián García-Concejo, Jesús Villar, Miguel Bardají-Carrillo, Esther Gómez‐Sánchez, Laura Sánchez-de-Prada
article en

Abstract

The combination of GWAS and XAI prioritized loci associated with post-operative sepsis susceptibility. The determination of key genes, such as <i>PRIM2</i>, <i>SYNPR</i>, and <i>RBSN</i>, through pre-operative blood tests could enhance risk stratification, enable early detection of post-operative sepsis, and guide targeted interventions to improve patient outcomes. Further research with additional and ethnically diverse cohorts comprising sepsis and non-sepsis patients undergoing major surgery is needed to validate these exploratory findings.

Frontiers in MedicineVol. 12
Universidad de Valladolid (ES), Universidade da Coruña (ES), St. Michael's Hospital (CA), University of Leicester (GB), Queen Mary University of London (GB), Universidade de Santiago de Compostela (ES), Instituto de Salud Carlos III (ES), Hospital Universitario Nuestra Señora de Candelaria (ES), Universidad Fernando Pessoa Canarias (ES), Complejo Hospitalario Universitario de Santiago (ES), Hospital Universitario de Gran Canaria Doctor Negrín (ES), Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (ES), Instituto Tecnológico y de Energías Renovables (ES), Centro Nacional de Microbiologia (ES), Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (ES), Centro de Investigación Biomédica en Red (ES), Fundación Pública Galega de Medicina Xenómica (ES), Instituto de Investigación Sanitaria de Santiago (ES), William Harvey Research Institute (GB), Hospital Clínico Universitario de Valladolid (ES), Instituto de Investigación de Enfermedades Raras (ES)
Openalex Percentile: Top 48%
Sepsis Diagnosis and Treatment
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