Impact of antibiotics on the human microbiome and consequences for host health

Patangia, Dhrati; Ryan, C. Anthony; Dempsey, Eugene M.; Ross, R. Paul; Stanton, Catherine

doi:10.1002/mbo3.1260

Cited by 347 publications

(205 citation statements)

References 279 publications

(345 reference statements)

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“…Studies indicate that socioeconomic status may alter oral microbiota community structure and higher diversity ( 132 , 133 ). The oral microbiota is a major reservoir of antibiotic-resistant bacteria; many studies have demonstrated that using amoxicillin, erythromycin, and tetracycline changes oral microbiota composition and enriches bacteria resistant to antibiotics ( 134 , 135 ).…”

Section: Resultsmentioning

confidence: 99%

Nutritional factors influencing microbiota-mediated colonization resistance of the oral cavity: A literature review

Akimbekov

Digel²,

Yerezhepov³

et al. 2022

Front. Nutr.

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The oral cavity is a key biocenosis for many distinct microbial communities that interact with both the external environment and internal body systems. The oral microbiota is a vital part of the human microbiome. It has been developed through mutual interactions among the environment, host physiological state, and microbial community composition. Indigenious microbiota of the oral cavity is one of the factors that prevent adhesion and invasion of pathogens on the mucous membrane, i.e., the development of the infectious process and thereby participating in the implementation of one of the mechanisms of local immunity–colonization resistance. The balance between bacterial symbiosis, microbial virulence, and host resistance ensures the integrity of the oral cavity. In this review we have tried to address how nutritional factors influence integrity of the oral indigenous microbiota and its involvement in colonization resistance.

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Section: Resultsmentioning

confidence: 99%

Nutritional factors influencing microbiota-mediated colonization resistance of the oral cavity: A literature review

Akimbekov

Digel²,

Yerezhepov³

et al. 2022

Front. Nutr.

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“…The imbalance of gut microbiomes (beneficial and pathogenic) alter the immune interactions, which cause autoimmune diseases, including gastrointestinal disorders (inflammatory bowel disease and celiac diseases), rheumatic arthritis, malignancy, neurodegenerative disorders, and metabolic syndrome [ 5 , 6 , 7 , 8 , 9 , 10 ]. Food habits, overuse of antibiotics, and unique genetic characteristics of hosts could alter the gut microbiome [ 11 , 12 ]. Studies have suggested that probiotic supplementation can improve host gut health and prevent auto-immune-related inflammatory diseases [ 1 , 13 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

Antioxidant and Antibacterial Effects of Potential Probiotics Isolated from Korean Fermented Foods

Sathiyaseelan

Saravanakumar

Han

et al. 2022

IJMS

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A total of sixteen bacterial strains were isolated and identified from the fourteen types of Korean fermented foods that were evaluated for their in vitro probiotic potentials. The results showed the highest survivability for Bacillus sp. compared to Lactobacillus sp. in simulated gastric pH, and it was found to be maximum for B. inaquosorum KNUAS016 (8.25 ± 0.08 log10 CFU/mL) and minimum for L. sakei KNUAS019 (0.8 ± 0.02 log10 CFU/mL) at 3 h of incubation. Furthermore, B. inaquosorum KNUAS016 and L. brevis KNUAS017 also had the highest survival rates of 6.86 ± 0.02 and 5.37 ± 0.01 log10 CFU/mL, respectively, in a simulated intestinal fluid condition at 4 h of incubation. The percentage of autoaggregation at 6 h for L. sakei KNUAS019 (66.55 ± 0.33%), B. tequilensis KNUAS015 (64.56 ± 0.14%), and B. inaquosorum KNUAS016 (61.63 ± 0.19%) was >60%, whereas it was lower for L. brevis KNUAS017 (29.98 ± 0.09%). Additionally, B. subtilis KNUAS003 showed higher coaggregation at 63.84 ± 0.19% while B. proteolyticus KNUAS001 found at 30.02 ± 0.33%. Among them, Lactobacillus sp. showed the best non-hemolytic activity. The highest DPPH and ABTS radical scavenging activity was observed in L. sakei KNUAS019 (58.25% and 71.88%). The cell-free supernatant of Lactobacillus sp. considerably inhibited pathogenic growth, while the cell-free supernatant of Bacillus sp. was moderately inhibited when incubated for 24 h. However, the overall results found that B. subtilis KNUAS003, B. proteolyticus KNUAS012, L. brevis KNUAS017, L. graminis KNUAS018, and L. sakei KNUAS019 were recognized as potential probiotics through different functional and toxicity assessments.

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“…Side-effects of antimicrobials: Antimicrobials are designed to specifically target to pathogens, but off-target or side-effects are very common. For instance, antibiotics not only inhibit pathogenic bacteria, but also intoxicate patients' internal organs, such as liver and kidney 18,19 , as well as disrupt the microbiota in the gastric intestinal tract 20 ; Some antivirals have a poor specificity of distinguishing viral targets from host molecules 21 . Most antifungals and antiparasitic drugs are toxic to human cells because eukaryotic cells share significant similarity 22 .…”

Section: Significance Of the Hpi-equation In Shifting The Paradigm Of...mentioning

confidence: 99%

Development of a mathematic equation for host-pathogen interaction: shifting the paradigm of the pathogen-targeted medicine to the host-based medicine

Sun¹

2022

Preprint

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Prognosis of infectious diseases is determined by the dynamic interaction between hosts and pathogens. Over the past several decades, the control of pathogens has been the central dogma of treating infectious diseases in modern medicine, and little efforts have been devoted on regulation of hosts. However, the pathogen-directed medicine is now facing significant challenges, such as lack of effective antimicrobials for newly emerging pathogens, drug resistance of pathogens, and drug side-effects, etc. Here, a mathematic equation (termed the equation of host-pathogen interactions, HPI-Equation) is developed to dissect the key variables of host-pathogen interaction. It clearly shows that control of pathogens is neither necessary nor sufficient for host recovery. Instead, a combination of promoting the host self-healing power and balancing the host immune response provides the best benefit for the host. The HPI-Equation strongly suggests a paradigm shift of the pathogen-targeted medicine to the host-based medicine. Moreover, the HPI-Equation elucidates the scientific basis of traditional Chinese medicine (TCM), a model of the host-based medicine that treats infectious diseases by promoting the host self-healing power and balancing the immune response. The importance of the self-healing power elucidated in the HPI-Equation was confirmed by recent studies that the tolerance mechanism, which is discovered in plants and animals and conceptually equivalent to the self-healing power, improves host survival without directly attacking pathogens. In summary, the HPI-Equation describes the host-pathogen interaction with mathematic logics and precision; It translates the ancient wisdoms of TCM into apprehensible modern sciences and opens a new venue for integration of TCM and modern medicine for the future medicine.

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Impact of antibiotics on the human microbiome and consequences for host health

Cited by 347 publications

References 279 publications

Nutritional factors influencing microbiota-mediated colonization resistance of the oral cavity: A literature review

Nutritional factors influencing microbiota-mediated colonization resistance of the oral cavity: A literature review

Antioxidant and Antibacterial Effects of Potential Probiotics Isolated from Korean Fermented Foods

Development of a mathematic equation for host-pathogen interaction: shifting the paradigm of the pathogen-targeted medicine to the host-based medicine

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