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is one of the major invasive intracellular pathogens causing most deaths by a single infectious agent. The interaction between host immune cells and this pathogen is the focal point of the disease, Tuberculosis. Host immune cells not only mount the protective action against this pathogen but also serve as the primary niche for growth. Thus, recognition of this pathogen by host immune cells and following signaling cascades are key dictators of the disease state. Immune cells, mainly belonging to myeloid cell lineage, recognize a wide variety of ligands ranging from carbohydrate and lipids to proteins to nucleic acids by different membrane-bound and soluble pattern recognition receptors. Simultaneous interaction between different host receptors and pathogen ligands leads to immune-inflammatory response as well as contributes to virulence. This review summarizes the contribution of pattern recognition receptors of host immune cells in recognizing and subsequent initiation of signaling pathways to provide the molecular insight of the specific Mtb ligands interacting with specific PRR, key adaptor molecules of the downstream signaling pathways and the resultant effector functions which will aid in identifying novel drug targets, and developing novel drugs and adjuvants.
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http://dx.doi.org/10.1016/j.heliyon.2023.e20636 | DOI Listing |
Biomaterials
September 2025
Key Laboratory of Biopharmaceutical Preparation and Delivery, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, 100190, PR China; University of Chinese Academy of Sciences, Beijing, 100049, PR China. Electronic address:
The stimulator of interferon genes (STING) pathway represents a promising target in cancer immunotherapy. However, the clinical translation of cyclic dinucleotide (CDN)-based STING agonists remains hindered by insufficient formation of functional CDN-STING complexes. This critical bottleneck arises from two interdependent barriers: inefficient cytosolic CDN delivery and tumor-specific STING silencing via DNA methyltransferase-mediated promoter hypermethylation.
View Article and Find Full Text PDFACS Synth Biol
September 2025
A.N. Bach Institute of Biochemistry, Research Center of Biotechnology of the Russian Academy of Sciences, Moscow 119071, Russian Federation.
African swine fever virus (ASFV) is a large DNA virus that causes a highly lethal disease in pigs and currently has no effective vaccines or antiviral treatments available. We designed a protein switch that combines the DNase domain of colicin E9 (DNase E9) and its inhibitor Im9 with the viral protease cleavage site. The complex is only destroyed in the presence of an ASFV pS273R protease, which releases DNase activity.
View Article and Find Full Text PDFBlood Adv
September 2025
BC Cancer, Vancouver, British Columbia, Canada.
Classical Hodgkin Lymphoma (CHL) is characterized by a complex tumor microenvironment (TME) that supports disease progression. While immune cell recruitment by Hodgkin and Reed-Sternberg (HRS) cells is well-documented, the role of non-malignant B cells in relapse remains unclear. Using single-cell RNA sequencing (scRNA-seq) on paired diagnostic and relapsed CHL samples, we identified distinct shifts in B-cell populations, particularly an enrichment of naïve B cells and a reduction of memory B cells in early-relapse compared to late-relapse and newly diagnosed CHL.
View Article and Find Full Text PDFAm J Reprod Immunol
September 2025
Department of Obstetrics and Gynecology, Second XiangYa Hospital of Central South University, Changsha, Hunan, China.
Problem: Preeclampsia (PE) is a leading cause of perinatal maternal and fetal mortality. Clinical and pathological studies suggest that placental and decidual cell dysfunction may contribute to this condition. However, the pathogenesis of PE remains poorly understood.
View Article and Find Full Text PDFAm J Reprod Immunol
September 2025
Department of Laboratory Animal Science, Kunming Medical University, Kunming, China.
Objective: To explore B cell infiltration-related genes in endometriosis (EM) and investigate their potential as diagnostic biomarkers.
Methods: Gene expression data from the GSE51981 dataset, containing 77 endometriosis and 34 control samples, were analyzed to detect differentially expressed genes (DEGs). The xCell algorithm was applied to estimate the infiltration levels of 64 immune and stromal cell types, focusing on B cells and naive B cells.