Characterization of the immunosuppressive environment induced by larval during chronic experimental infection.

Infect Immun

Laboratorio de Inmunología, Instituto de Química Biológica, Facultad de Ciencias/Instituto de Higiene, Universidad de la República, Montevideo, Uruguay.

Published: February 2024

The larval stage of causes the chronic infection known as cystic echinococcosis, deploying strong inhibitory mechanisms on host immune responses. Using experimental intraperitoneal infection in C57BL/6 mice, we carried out an in-depth analysis of the local changes in macrophage populations associated with chronic infection. In addition, we analyzed T cells and relevant soluble mediators. Infected animals showed an increase in local cell numbers, mostly accounted for by eosinophils, T cells, and macrophages. Within macrophage populations, the largest increases in cell numbers corresponded to resident large peritoneal macrophages (LPM). Monocyte recruitment appeared to be active, as judged by the increased number of monocytes and cells in the process of differentiation towards LPM, including small (SPM) and converting peritoneal macrophages (CPM). In contrast, we found no evidence of macrophage proliferation. Infection induced the expression of M2 markers in SPM, CPM, and LPM. It also enhanced the expression of the co-inhibitor PD-L1 in LPM, SPM, and CPM and induced the co-inhibitor PD-L2 in SPM and CPM. Therefore, local macrophages acquire M2-like phenotypes with probable suppressive capacities. Regarding T cells, infection induced an increase in the percentage of CD4 cells that are PD-1, which represent a potential target of suppression by PD-L1/PD-L2 macrophages. In possible agreement, CD4 T cells from infected animals showed blunted proliferative responses to stimulation with anti-CD3. Further evidence of immune suppression in the parasite vicinity arose from the observation of an expansion in FoxP3 CD4 regulatory T cells and increases in the local concentrations of the anti-inflammatory cytokines TGF-β and IL-1Ra.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10863420PMC
http://dx.doi.org/10.1128/iai.00276-23DOI Listing

Publication Analysis

Top Keywords

spm cpm
12
chronic infection
8
macrophage populations
8
infected animals
8
cell numbers
8
peritoneal macrophages
8
infection induced
8
cd4 cells
8
cells
7
infection
6

Similar Publications

Background: disease burden (PCI), completeness of cytoreduction or histological features, are known to influence survival after CRS-HIPEC for colorectal peritoneal metastases (CPM). However, there is still debate about influence of CPM onset. The aim of this study is to determine the impact of CPM onset on oncological outcomes after CRS-HIPEC.

View Article and Find Full Text PDF

Deep learning has catalyzed a transformative shift in material discovery, offering a key advantage over traditional experimental and theoretical methods by significantly reducing associated costs. Models adept at predicting properties from chemical compositions alone do not require structural information. However, this cost-efficient approach compromises model precision, particularly in Chemical Composition-based Property Prediction Models (CPMs), which are notably less accurate than Structure-based Property Prediction Models (SPMs).

View Article and Find Full Text PDF

Characterization of the immunosuppressive environment induced by larval during chronic experimental infection.

Infect Immun

February 2024

Laboratorio de Inmunología, Instituto de Química Biológica, Facultad de Ciencias/Instituto de Higiene, Universidad de la República, Montevideo, Uruguay.

The larval stage of causes the chronic infection known as cystic echinococcosis, deploying strong inhibitory mechanisms on host immune responses. Using experimental intraperitoneal infection in C57BL/6 mice, we carried out an in-depth analysis of the local changes in macrophage populations associated with chronic infection. In addition, we analyzed T cells and relevant soluble mediators.

View Article and Find Full Text PDF

An effective approach for plant leaf diseases classification based on a novel DeepPlantNet deep learning model.

Front Plant Sci

October 2023

Department of Computer Science and Engineering, School of Convergence, College of Computing and Informatics, Sungkyunkwan University, Seoul, Republic of Korea.

Introduction: Recently, plant disease detection and diagnosis procedures have become a primary agricultural concern. Early detection of plant diseases enables farmers to take preventative action, stopping the disease's transmission to other plant sections. Plant diseases are a severe hazard to food safety, but because the essential infrastructure is missing in various places around the globe, quick disease diagnosis is still difficult.

View Article and Find Full Text PDF

Background: Micronutrient deficiency (MD) is associated with deficits in cognitive functioning of children. However, no comprehensive multicentric study has been conducted in India to explore the role of multiple MD in cognition of children and adolescents. The present study aimed to explore association of MD with level of general intelligence and specific cognitive functions, in urban school-going children and adolescents across ten cities of India.

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!