Severe invasive infections linked to IRAK2 immune variants.

Int J Infect Dis

Division of Infectious Diseases, Department of Medicine, National University Health System, Singapore; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore. Electronic address:

Published: November 2024

In subjects with peculiar susceptibility to severe infections by common pyogenic bacteria, mutations of interleukin-1 receptor-associated kinase proteins (IRAK)1 and IRAK4 had been identified. The IRAK kinases function as downstream signal transductors following the activation of pathogen recognition receptors. In two patients with sequential or repeated invasive infections: herpes simplex virus-triggered hemophagocytic lymphohistiocytosis with tuberculosis, and Streptococcus pneumoniae bacteremia with candidemia respectively, novel mutations of IRAK2 were identified. These mutations compromised the capacity to ubiquinate (or functionally modify) the signal adaptor tumor necrosis factor receptor-associated factor 6. The result is impairment of the cytokine tumor necrosis factor-alpha production. This susceptibility to a varied range of pathogens underlines a potential central role played by IRAK2 in mediating host defense in infectious diseases.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.ijid.2024.107245DOI Listing

Publication Analysis

Top Keywords

invasive infections
8
tumor necrosis
8
severe invasive
4
infections linked
4
linked irak2
4
irak2 immune
4
immune variants
4
variants subjects
4
subjects peculiar
4
peculiar susceptibility
4

Similar Publications

The Impact of Artificial Intelligence and Machine Learning in Organ Retrieval and Transplantation: A Comprehensive Review.

Curr Res Transl Med

January 2025

Department of Research and Innovation, Medway NHS Foundation Trust, Gillingham ME7 5NY, United Kingdom; Faculty of Medicine, Health and Social Care, Canterbury Christ Church University, United Kingdom.

This narrative review examines the transformative role of Artificial Intelligence (AI) and Machine Learning (ML) in organ retrieval and transplantation. AI and ML technologies enhance donor-recipient matching by integrating and analyzing complex datasets encompassing clinical, genetic, and demographic information, leading to more precise organ allocation and improved transplant success rates. In surgical planning, AI-driven image analysis automates organ segmentation, identifies critical anatomical features, and predicts surgical outcomes, aiding pre-operative planning and reducing intraoperative risks.

View Article and Find Full Text PDF

Background: The prevention of invasive fungal infections (IFIs) is crucial for paediatric haemato-oncological patients. This study evaluates the clinical efficacy and side-effects of posaconazole and liposomal amphotericin B (L-AmB) as primary prophylaxis.

Materials And Methods: This cohort study included patients aged 3 months to 21 years who received posaconazole or L-AmB (5 mg/kg twice weekly) as prophylaxis from January 2017 to March 2022 at the Hemato-oncological Pediatric Unit, University Hospital of Padua, Italy.

View Article and Find Full Text PDF

Background: While invasive fusariosis and lomentosporiosis are known to be associated with fungemia, overall data on mold-related fungemia are limited, hampering early management. This study aimed to describe the epidemiology of mold-positive blood cultures.

Methods: Epidemiological and clinical data on mold-positive blood cultures from 2012 to 2022 were obtained from the RESSIF database.

View Article and Find Full Text PDF

(PA) is an opportunistic gram-negative pathogen that can infect the cornea, leading to permanent vision loss. Autophagy is a cannibalistic process that drives cytoplasmic components to the lysosome for degradation and/or recycling. Autophagy has been shown to play a key role in the removal of intracellular pathogens and, as such, is an important component of the innate immune response.

View Article and Find Full Text PDF

Antibiotic tolerance presents a significant challenge in eradicating bacterial infections, as tolerant strains can survive antibiotic treatment, contributing to the recurrence of infections and the development of resistance. However, unlike antibiotic resistance, tolerance is not detectable by standard susceptibility assays such as minimal inhibitory concentration (MIC) tests. Consequently, antibiotic tolerance often goes unnoticed in clinical settings.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!