AIMC Topic: Prebiotics
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Impact of galactooligosaccharides delivered in ovo on mitigating negative effects of heat stress on performance and welfare of broilers.
Poultry science
Dec 30, 2019
Galactooligosaccharides (GOS) delivered in ovo improve intestinal health of broiler chickens. This study aimed to demonstrate the impact of in ovo stimulation with GOS prebiotic on day 12 of egg incubation on performance and welfare traits in broiler...
Construction of an enzymatic route using a food-grade recombinant Bacillus subtilis for the production and purification of epilactose from lactose.
Journal of dairy science
Dec 28, 2017
Lactose is a main by-product in the cheese industry. Many attempts have been made to convert the lactose to high value-added products, including epilactose. Epilactose is a valuable prebiotic and can be epimerized from lactose with cellobiose 2-epime...
Exploring the Impact of Food on the Gut Ecosystem Based on the Combination of Machine Learning and Network Visualization.
Nutrients
Dec 1, 2017
Prebiotics and probiotics strongly impact the gut ecosystem by changing the composition and/or metabolism of the microbiota to improve the health of the host. However, the composition of the microbiota constantly changes due to the intake of daily di...
Sporulated Bacillus as alternative treatment for diarrhea of hospitalized adult patients under enteral nutrition: A pilot randomized controlled study.
Clinical nutrition ESPEN
Sep 6, 2017
BACKGROUND & AIMS: Among hospitalized patients receiving enteral nutrition (EN), malnutrition and antibiotic use are some of the most common causes of diarrhea. Prebiotics and probiotics agents have been used for treatment of diarrhea in such patient...
In vitro prebiotic effects and quantitative analysis of Bulnesia sarmienti extract.
Journal of food and drug analysis
Jun 24, 2016
Prebiotics are used to influence the growth, colonization, survival, and activity of probiotics, and enhance the innate immunity, thus improving the health status of the host. The survival, growth, and activity of probiotics are often interfered with...
A β-mannanase from Paenibacillus sp.: Optimization of production and its possible prebiotic potential.
Biotechnology and applied biochemistry
Oct 12, 2015
A thermotolerant bacterium Paenibacillus thiaminolyticus with an ability to produce extracellular β-mannanase was isolated from a soil sample. Bacterium produced 45 U/mL β-mannanase at 50 °C. The culture conditions for high-level production of β-mann...
Harnessing the fish gut microbiome and immune system to enhance disease resistance in aquaculture.
Fish & shellfish immunology
Aug 1, 2025
The increasing global reliance on aquaculture is challenged by disease outbreaks, exacerbated by antibiotic resistance, and environmental stressors. Traditional strategies, such as antibiotic treatments and chemical interventions, are becoming less e...
[Association between gut microbiota and hyperuricemia: insights into innovative therapeutic strategies].
Sheng wu gong cheng xue bao = Chinese journal of biotechnology
Jun 25, 2025
Uric acid (UA) is the final metabolite of purines in the human body. An imbalance in UA production and excretion that disrupts homeostasis leads to elevated blood UA levels and the development of hyperuricemia (HUA). Approximately one-third of UA is ...
Innovations in the diagnosis, treatment, and management of disorders of gut-brain interaction (DGBI).
Expert review of gastroenterology & hepatology
Jun 1, 2025
INTRODUCTION: Functional dyspepsia (FD) and irritable bowel syndrome (IBS) are the most prevalent disorders of gut-brain interaction (DGBI), frequently overlapping and associated with complex pathophysiological mechanisms. Increasing evidence implica...
[A machine learning model based on initial gut microbiome data for predicting changes of Bifidobacterium after prebiotics consumption].
Nan fang yi ke da xue xue bao = Journal of Southern Medical University
Mar 20, 2018
OBJECTIVE: To investigate the effects of prebiotics supplementation for 9 days on gut microbiota structure and function and establish a machine learning model based on the initial gut microbiota data for predicting the variation of Bifidobacterium af...
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