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16S rRNA and metabolomics reveal the key microbes and key metabolites that regulate diarrhea in Holstein male calves.
Front Microbiol
January 2025
College of Animal Science and Technology, Ningxia University, Yinchuan, China.
Introduction: Diarrhea is a prevalent disease among calves, which significantly hinders their growth and development, thereby impacting farm productivity and revenue. This study aimed to investigate the impact of diarrhea on calf growth.
Methods: Holstein male calves with similar birth weight (39.
Prevalence of common diarrheagenic enterobacteriaceae in Iran (2000-2023): a systematic review and meta-analysis.
BMC Gastroenterol
January 2025
Department of Biostatistics, Payame Noor University, Karaj, Iran.
Objective: Bacterial gastroenteritis is a significant public health concern, capable of causing severe infections. Among the various pathogens involved, those belonging to the Enterobacteriaceae family are the most frequently isolated and associated with gastrointestinal disorders. This study aimed to investigate the prevalence of common diarrheagenic Enterobacteriaceae in Iran over the past two decades, from 2000 to 2023.
View Article and Find Full Text PDFMolecular epidemiology of extended-spectrum beta-lactamases and carbapenemases-producing Shigella in Africa: a systematic review and meta-analysis.
BMC Infect Dis
January 2025
Department of Medical Microbiology, University of Ghana Medical School, Korle Bu, P.O. Box KB 4236, Accra, Ghana.
Background: The treatment of Shigella infections has become a major challenge due to the emergence of multidrug-resistant Shigella. There is however insufficient knowledge regarding the molecular epidemiology of Shigella strains producing beta-lactamases in Africa. This systematic review investigated the scientific literature on the molecular epidemiology of extended-spectrum beta-lactamase (ESBL) and carbapenemases producing Shigella in Africa.
View Article and Find Full Text PDFDerivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms.
BMC Med Inform Decis Mak
January 2025
Kenya Medical Research Institute- Center for Global Health Research (KEMRI-CGHR), P.O Box 1578-40100, Kisumu, Kenya.
Background: Despite the adverse health outcomes associated with longer duration diarrhea (LDD), there are currently no clinical decision tools for timely identification and better management of children with increased risk. This study utilizes machine learning (ML) to derive and validate a predictive model for LDD among children presenting with diarrhea to health facilities.
Methods: LDD was defined as a diarrhea episode lasting ≥ 7 days.
Prevalence of Salmonella and Shigella species and their multidrug resistance patterns among pediatric populations in Ethiopia: a systematic review and meta-analysis.
BMC Infect Dis
January 2025
Department of Medical Laboratory Sciences, College of Medicine and Health Sciences, Wollo University, Dessie, P.O. Box: 1145, Ethiopia.
Background: Salmonella and Shigella are major enteric pathogens that cause diarrhea in children worldwide. They are pathogenic microbes that cause significant diarrheal morbidity and mortality in under five children in resource limited countries. Thus, this systemic review and meta-analysis aimed to investigate the prevalence of Salmonella and Shigella species and their multidrug resistance patterns in pediatric populations in Ethiopia.
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