Objectives: To investigate the influence of gut microbiota on autophagy activation in intestinal epithelial cells (IEC) and to evaluate the IEC autophagy response to different types of Bifidobacteria.

Methods: IEC-18 cells were treated with lipopolysaccharide (LPS) derived from enteropathogenic Escherichia coli (EPEC) O127:B8 and culture medium supernatants of four types of Bifidobacteria. Transepithelial electrical resistance (TEER) was measured using an epithelial voltohmmeter. Autophagy was determined by transmission electron microscopy (TEM), the ratio of LC3-II to LC3-I and the persistence of both green fluorescent protein (GFP) and mCherry signals using a tandem mCherry-GFP-LC3 construct. The expression of Atg12-Atg5-Atg16 complex was measured by quantitative real-time polymerase chain reaction.

Results: EPEC-LPS significantly diminished the TEER of IEC compared with untreated controls by 45-55%. This reduction was not observed after treated with Bifidobacteria at all time points. Bifidobacteria could initiate the activation of autophagy in IEC, based on both the ratio of LC3-II to LC3-I and TEM. There was no difference in the influence of the four types of Bifidobacteria on the autophagy response. Compared with Bifidobacteria, IEC reacted to EPEC-LPS much more intensively by autophagy accumulation. More mCherry(+) LC3 autophagic puncta and increased expressions of autophagy genes Atg5, Atg12 and Atg16 could be detected after being treated with Bifidobacteria and EPEC-LPS.

Conclusions: Bifidobacteria initiate autophagy activation in IEC. The Atg12-Atg5-Atg16 multimeric complex might participate in the activation of Bifidobacteria-induced cell autophagy.

Download full-text PDF

Source
http://dx.doi.org/10.1111/1751-2980.12179DOI Listing

Publication Analysis

Top Keywords

types bifidobacteria
12
autophagy response
12
autophagy
10
intestinal epithelial
8
epithelial cells
8
autophagy activation
8
ratio lc3-ii
8
lc3-ii lc3-i
8
treated bifidobacteria
8
bifidobacteria initiate
8

Similar Publications

Impact of Food Intake and Sleep Disturbances on Gut Microbiota.

Cureus

October 2024

Department of Pharmacy Practice, Sri Ramasamy Memorial (SRM) College of Pharmacy, SRM Institute of Science and Technology, Kanchipuram, IND.

Article Synopsis
  • Gut microbiota are crucial for human health and are influenced by dietary habits and sleep patterns.
  • A diet rich in fiber promotes beneficial bacteria, while high-fat or high-sugar diets can disrupt microbial balance.
  • Sleep disturbances, such as irregular cycles and insomnia, can also negatively affect gut health through immune and circadian rhythm disruptions, highlighting the need for lifestyle changes to support gut health.
View Article and Find Full Text PDF

Microorganisms are the only entities in the biosphere with an incomparable ability to employ diverse organic and inorganic compounds for growth and convert it to simple form that is no longer harmful to human health and environment. Food grade microorganisms such as lactic acid bacteria, bifidobacteria, propionibacteria as well as several yeast species are associated with food fermentation processes as well as have gained probiotic status owing to their noteworthy offerings in health stimulation as a natural gut microbiota in animals and humans. However, as biological agents little is known about their application for bioremediation and biotransformation aptitude.

View Article and Find Full Text PDF

Probiotics are live yeast or bacterial organisms that have beneficial effects on the host. Several microorganisms exhibit probiotic properties, the most common types being lactic acid bacteria, , spore-forming bacteria, and some yeast strains. var.

View Article and Find Full Text PDF

Little has been known about symbiotic relationships and host specificity for symbionts in the human gut microbiome so far. are a paragon of the symbiotic bacteria biota in the human gut. In this study, we characterized the population genetic structure of three bifidobacteria species from 58 healthy mother-infant pairs of three ethnic groups in China, geographically isolated, by Rep-PCR, multi-locus sequence analysis (MLSA), and carbohydrate utilization.

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!