Short-Term Dietary Intervention with Whole Oats Protects from Antibiotic-Induced Dysbiosis

Costa, Stephen K.; Antosca, Katherine; Beekman, Chapman; Peterson, Rachel L; Penumutchu, Swathi; Belenky, Peter

doi:10.1128/spectrum.02376-23

Cited by 2 publications

(1 citation statement)

References 83 publications

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“…Its effect is explained by modulation of bile acids exchange [26]. Bacteroides Thetaiotaomicron and Akkermansia Muciniphila are the most famous commensal flora [27]. Loss of Bacteroides Thetaiotaomicron leads for bile acids exchange deviations and decrease carbohydrates, including dietary fibers, destruction by gut bacteria [28].…”

Section: Discussionmentioning

confidence: 99%

Gut Microbiota and Cardiometabolic Risk Factors in Coronary Artery Disease Patients With Atrial Fibrillation

Melnychuk

2023

Clin. and prev. med.

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The aim: To estimate gut microbiota composition peculiarities in patients with coronary artery disease (CAD) and atrial fibrillation (AF) and to evaluate their connections with known cardiometabolic risk factors (CRF). Materials and methods: 300 patients formed 3 groups: I group – 149 CAD patients without rhythm disorders, II group – 124 patients with CAD and AF paroxysm and control group (CG) – 27 patients without CAD and arrhythmias. 16-S rRNA sequencing checked gut microbiota composition. CRF which was explored are total cholesterol (TC), triglycerides (TG), low density lipoproteins (LDL), high density lipoproteins (HDL), lipoprotein α (Lpα), apolipoprotein A1 (ApoA1), apolipoprotein B (ApoB), C-reactive protein (CRP), interleukin-6 (IL-6), trymetilamine (TMA) and trymetilamine-N-oxide (TMAO). Results: The significant changes of gut microbiota composition were found in CAD patients with AF paroxysm in comparison with CAD patients without arrythmia as increasing Actinomycetota phulum (P<0.05); increasing Actinobacter Spp. and decreasing Blautia Spp., Roseburia Inulinivorans, Bacteroides Thetaiotaomicron (P<0.05). Moreover, Actinobacter Spp., Akkermansia Muciniphila, Streptococcus Spp., Bacteroides Thetaiotaomicron, Bifidobacterium Spp. have the highest amount of significant correlations with CRF (body mass index, LDL levels; P<0.05). By the ROC-analysis we found the acceptable role of Lactobacillus Spp., Bifidobacterium Spp., Bacteroides Thetaiotaomicron, Blautia Spp., Actinobacter Spp. and Eubacterium Rectale in AF paroxysm occurrence in CAD patients (area under ROC-curve (AUC)<0.7). We found gut microbiota combinations with highest AUC for AF paroxysm in CAD patient: all of them include Actinobacter Spp (Actinobacter Spp. + 0.32 * Streptococcus Spp., AUC = 0.9008; 1.56 * Actinobacter Spp. – Blautia Spp., AUC = 0.9008;1.84 * Actinobacter Spp. – Akkermansia Muciniphila, AUC = 0.9008). AF paroxysm duration in CAD patients depends of plasma IL-6, TMAO, fecal Actinobacter Spp. and Akkermansia Muciniphila by the linear multifactorial regression analysis (AF paroxysm duration = 0.68*(Actinobacter Spp., lg/CFU/ml) – 3.33*(Akkermansia Muciniphila, lg/CFU/ml) – 0.6*IL6 – 0.34*TMAO – 0.98). Conclusions: Gut microbiota condition is closely connected with occurrence AF of paroxysm in CAD patients. To find out the new ways of gut microbiota and CRF correction will be interesting in future investigations.

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Section: Discussionmentioning

confidence: 99%

Gut Microbiota and Cardiometabolic Risk Factors in Coronary Artery Disease Patients With Atrial Fibrillation

Melnychuk

2023

Clin. and prev. med.

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Mouse diet and vendor impact microbiome perturbation and recovery from early-life pulses of amoxicillin

Curtis-Joseph,

Peterson,

Brown

et al. 2024

Front. Microbiomes

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The gut microbiome is a dynamic ecosystem shaped by various factors, including diet, sex, and environment. This system plays a crucial role in host health, such that perturbation in the form of antibiotics can lead to a vast array of negative outcomes. Accordingly, a growing body of work seeks to develop interventions to protect the microbiome during antibiotic exposure. While it is well established that antibiotics can disrupt the microbiome in the short term, how the impact of antibiotics is modulated by factors such as diet, sex, and environment is poorly understood. In this study, we analyzed how sex, diet and early life environment (vendor of origin) modulate the impact and recovery of the microbiome in mice treated with oral amoxicillin. Utilizing 16S rRNA gene sequencing and bioinformatic analyses, we looked at the microbiome response to antibiotics under high-sugar and high-fat (Western) and standard high-fiber mouse (Chow) diets in male and female C57BL/6 from Jackson Laboratory, and female mice from Charles River Laboratories. The microbiome composition of each set of mice had a distinct pre-antibiotic starting point, depending on vendor, sex, and diet. These differences were further exacerbated by antibiotic exposure and revealed that each group responded differently to this perturbation. In particular, we found that the Western diet microbiome had an exacerbated response to antibiotics with greater changes in alpha, and beta diversity, and microbial composition when compared to the antibiotic-treated Chow diet cohort. In particular, we detected blooms in Enterobacteriaceae, Streptococcaceae, and Peptostreptococcaceae that were not found in the Chow diet. The response to antibiotics on each diet also appeared to be vendor and sex dependent. Charles River female mice had less Bifidobacteriaceae, Clostridia_UCG.014, and Clostridiaceae compared to Jackson Laboratory females in a Western diet, while female mice had more Bacteroides, Bilophila, and Parasutterella compared to male mice. In a narrow sense, these findings underscore the importance of considering vendor source, diet, and sex when examining antibiotics’ impact on mice. The broader implications suggest that we will likely need to utilize patient-specific microbiome-informed approaches in the development of human therapeutics to safeguard the microbiome during antibiotic exposure.

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Short-Term Dietary Intervention with Whole Oats Protects from Antibiotic-Induced Dysbiosis

Cited by 2 publications

References 83 publications

Gut Microbiota and Cardiometabolic Risk Factors in Coronary Artery Disease Patients With Atrial Fibrillation

Gut Microbiota and Cardiometabolic Risk Factors in Coronary Artery Disease Patients With Atrial Fibrillation

Mouse diet and vendor impact microbiome perturbation and recovery from early-life pulses of amoxicillin

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