Background: Recent studies reported a link between high salt diet (HSD) and clinical exacerbation in mouse models of autoimmune diseases, mainly through the induction of pathogenic Th17 cells and/or HSD-induced dysbiosis. However, the topic remains controversial and not fully understood.

Purpose: In this study, we investigated the effects of HSD on the development of experimental autoimmune uveitis (EAU) in C57BL/6J mice.

Methods And Results: Unexpectedly, our data showed a significant attenuating effect of HSD on disease severity of native EAU, induced by direct immunization with IRBP peptide. That said, HSD had no effect on EAU disease severity induced by adoptive transfer of semi-purified auto-reactive IRBP-specific T lymphocytes. Accordingly, HSD did not affect IRBP-specific systemic afferent immune response as attested by no HSD-linked changes in T lymphocytes proliferation, cytokine production and Treg proportion. Gut microbiota analysis from cecal samples in naïve and EAU mice demonstrated that HSD affected differentially α-diversity between groups, whereas β-diversity was significantly modified in all groups. Unknown was the only taxon associated to HSD exposure in all treatment groups. Interestingly, a significantly higher abundance of unknown , with potential anti-inflammatory properties, appeared in HSD-fed native EAU mice, only.

Discussion: In conclusion, our study suggests a possible impact of HSD on gut microbiota composition and consequently on development and clinical severity of EAU. Further studies are required to investigate the potential beneficial role of in EAU.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11182228PMC
http://dx.doi.org/10.3389/fopht.2024.1370374DOI Listing

Publication Analysis

Top Keywords

disease severity
12
high salt
8
salt diet
8
severity native
8
experimental autoimmune
8
autoimmune uveitis
8
hsd
8
native eau
8
gut microbiota
8
eau mice
8

Similar Publications

Background And Study Aims: Necrotizing enterocolitis (NEC) is a severe gastrointestinal disease in neonates. In vitro model is an indispensable tool to study the pathogenesis of NEC. This study explored the effects of different stress factors on intestinal injury in vitro.

View Article and Find Full Text PDF

Emerging biomarkers in Gaucher disease.

Adv Clin Chem

January 2025

Center for Orphan Drug Research, Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN, United States. Electronic address:

Gaucher disease (GD) is a rare lysosomal disorder characterized by the accumulation of glycosphingolipids in macrophages resulting from glucocerebrosidase (GCase) deficiency. The accumulation of toxic substrates, which causes the hallmark symptoms of GD, is dependent on the extent of enzyme dysfunction. Accordingly, three distinct subtypes have been recognized, with type 1 GD (GD1) as the common and milder form, while types 2 (GD2) and 3 (GD3) are categorized as neuronopathic and severe.

View Article and Find Full Text PDF

Background: Delirium is associated with patient prognosis after transcatheter aortic valve implantation (TAVI). However, the prognostic impact of subsyndromal delirium, described as an intermediate stage between delirium and normal cognition, is uncertain. The present study aimed to investigate the prognostic impact of delirium severity in patients undergoing TAVI.

View Article and Find Full Text PDF

Parkinson's disease (PD), a neurodegenerative disorder without cure, is characterized by the pathological aggregation of α-synuclein (α-Syn) in Lewy bodies. Classic deposition pathway and condensation pathway contribute to α-Syn aggregation, and liquid-liquid phase separation is the driving force for condensate formation, which subsequently undergo liquid-solid phase separation to form toxic fibrils. Traditional Chinese Medicine (TCM) has a long history in treating neurodegenerative disease, herein; we identified chemicals from herbs that inhibit α-Syn aggregation.

View Article and Find Full Text PDF

Background: Major depressive disorder (MDD) comes along with an increased risk of recurrence and poor course of illness. Machine learning has recently shown promise in the prediction of mental illness, yet models aiming to predict MDD course are still rare and do not quantify the predictive value of established MDD recurrence risk factors.

Methods: We analyzed N = 571 MDD patients from the Marburg-Münster Affective Disorder Cohort Study (MACS).

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!