Content area

Abstract

Investigating innate immunity and its signaling transduction is essential to understand inflammation and host defence mechanisms. Toll-like receptors (TLRs), an evolutionarily ancient group of pattern recognition receptors, are crucial for detecting microbial components and initiating immune responses. This review summarizes the mechanisms and outcomes of TLR-mediated signaling, focusing on motifs shared with other immunological pathways, which enhances our understanding of the innate immune system. TLRs recognize molecular patterns in microbial invaders, activate innate immunity and promote antigen-specific adaptive immunity, and each of them triggers unique downstream signaling patterns. Recent advances have highlighted the importance of supramolecular organizing centers (SMOCs) in TLR signaling, ensuring precise cellular responses and pathogen detection. Furthermore, this review illuminates how TLR pathways coordinate metabolism and gene regulation, contributing to adaptive immunity and providing novel insights for next-generation therapeutic strategies. Ongoing studies hold promise for novel treatments against infectious diseases, autoimmune conditions, and cancers.

Details

Title
Role of TLRs as signaling cascades to combat infectious diseases: a review
Publication title
Volume
82
Issue
1
Pages
122
Publication year
2025
Publication date
Dec 2025
Publisher
Springer Nature B.V.
Place of publication
Basel
Country of publication
Netherlands
ISSN
1420-682X
e-ISSN
1420-9071
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-03-19
Milestone dates
2025-02-19 (Registration); 2024-06-05 (Received); 2025-02-18 (Accepted)
Publication history
 
 
   First posting date
19 Mar 2025
ProQuest document ID
3178987370
Document URL
https://www.proquest.com/scholarly-journals/role-tlrs-as-signaling-cascades-combat-infectious/docview/3178987370/se-2?accountid=208611
Copyright
Copyright Springer Nature B.V. Dec 2025
Last updated
2025-05-05
Database
ProQuest One Academic