Collateral effects of antibiotics on mammalian gut microbiomes
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Antibiotics are an essential component of the modern lifestyle. They improve our lives by treating disease, preventing disease, and in the case of agricultural animals by improving feed efficiency. However, antibiotic usage is not without collateral effects. The development and spread of antibiotic resistance is the most notorious concern associated with antibiotic use. New technologies have enabled the study of how the microbiota responds to the antibiotic disturbance, including how the community recovers after the antibiotic is removed. One common theme in studies of antibiotic effects is a rapid increase in Escherichia coli followed by a gradual decline. Increases in E. coli are also associated with systemic host stresses, and may be an indicator of ecosystem disturbances of the intestinal microbiota. Moreover, recent studies have shown additional effects mediated by antibiotics on the gut microbiota, such as the stimulation of gene transfer among gut bacteria and the reduction of immune responses in peripheral organs. Querying the microbiota after antibiotic treatment has led to intriguing hypotheses regarding predicting or mitigating unfavorable treatment outcomes. Here we explore the varied effects of antibiotics on human and animal microbiotas.Cite
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Surgical site infection is a common complication after surgery. Periprocedural antibiotics are necessary to prescribe for preventing or treating infections. The present study aimed to explore the effect of intravenous antibiotics on gut microbiota and menaquinone biosynthesis in patients, especially in elderly patients undergoing cardiac surgery.A total of 388 fecal samples were collected from 154 cardiac surgery patients. The V3-V4 hypervariable region of the bacterial 16S rRNA gene was amplified and sequenced on a MiSeq PE300. The gut microbiota diversity of samples was analyzed in terms of α- and β-diversity at the OTU level. The different groups were classified according to antibiotics in combinations and single antibiotics. PICRUSt2 was used for preliminary prediction of the gut microbiota function for menaquinone biosynthesis.The intravenously administered antibiotics which are excreted via bile represents the main antibiotics that could disturb the gut microbiota's composition in cardiac surgery patients, especially for elderly patients. The effect of antibiotics on gut microbiota is produced after antibiotics treatments over one week. The recovery of gut microbiota to the state of pre-antibiotics may require over two weeks of antibiotics withdrawal. Sex factor doesn't represent as an influencer in gut microbiota composition. Long-term use of cefoperazone-sulbactam may affect coagulation function.The composition of the gut microbiota had a significant change post-intravenous antibiotics treatment in cardiac surgery patients. The richness and diversity of gut microbiota are increased in elderly patients.
Sulbactam
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Antibiotics are known as “lifesaving drugs” and use for the treatment of infectious diseases. The use of antibiotics is not limited with the treatment of infectious diseases but also use prophylactically in other industries such as in livestock and agriculture. Unfortunately, due to extensive use of antibiotics, microbes develop resistance against antibiotics. Aim of the current review is to explore the history, causes, mechanisms of antibiotic resistance and alternative to antibiotics by examining the available literature. Antibiotic resistance is rising at an alarming rate and a major threat to the public health. A significant association was found in the antibiotic resistant infections with the level of antibiotic consumption. Inappropriate prescription, lack of awareness among the people and excessive use in the agriculture and livestock sectors are the main causes which are responsible for the resistance of microbes to antibiotics. Various mechanisms are involved in the antibiotic resistance such as mutation in genes, horizontal genes transfer, reduced permeability, alterations in target sites and enzymatic degradation. Furthermore, alternate options i.e. Photodynamic antimicrobial therapy, probiotics, medicinal plants and nanoparticles etc. can be used in health care setups to combat the increasing antibiotic resistant infections.
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Abstract OBJECTIVES: Little is known about the effect of antibiotic treatment on the gut microbiota in children with chronic pancreatitis (CCP). Our objective was to identify the main gut microbiota genera and characterize these patients’ functional mutations after using antibiotics. METHODS: The 16S rRNA sequencing method was used to compare the gut microbiota of healthy controls (HCs) with CCP using and not using antibiotics. RESULTS: All CCP demonstrated a significantly reduced alpha diversity of the gut microbiota ( P ＜0.01). The gut microbiota's alpha diversity and the abundance of genera’s beta diversity did not show statistical differences between the non-antibiotics and antibiotics groups. There were 15 altered genera with common abundance in the non-antibiotics and antibiotics groups compared to the HC group. The area under the curve (AUC) of the top three probiotics, i.e., Faecalibacterium , Eubacterium , and Subdoligranulum , was 0.91. Among the 13 genera altered in the non-antibiotics group, the top three genera were not appropriate as biomarkers for cases receiving antibiotics. Compared to these 13 genera, the differences between the genera and the proportion of gram-positive bacteria in the 17 genera altered only in the antibiotics group were not statistically significant . The Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis indicated that the antibiotics caused alterations in the abundance of certain genera. The enriched functions and the altered gut microbiota in the two groups had their enriched functions. CONCLUSIONS: The use of antibiotics affects the gut microbiota of CCP, but the effect of disease on gut microbiota is still obvious.
Eubacterium
Operational taxonomic unit
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Summary Investigations of antibiotic resistance from an environmental prospective shed new light on a problem that was traditionally confined to a subset of clinically relevant antibiotic‐resistant bacterial pathogens. It is clear that the environmental microbiota, even in apparently antibiotic‐free environments, possess an enormous number and diversity of antibiotic resistance genes, some of which are very similar to the genes circulating in pathogenic microbiota. It is difficult to explain the role of antibiotics and antibiotic resistance in natural environments from an anthropocentric point of view, which is focused on clinical aspects such as the efficiency of antibiotics in clearing infections and pathogens that are resistant to antibiotic treatment. A broader overview of the role of antibiotics and antibiotic resistance in nature from the evolutionary and ecological prospective suggests that antibiotics have evolved as another way of intra‐ and inter‐domain communication in various ecosystems. This signalling by non‐clinical concentrations of antibiotics in the environment results in adaptive phenotypic and genotypic responses of microbiota and other members of the community. Understanding the complex picture of evolution and ecology of antibiotics and antibiotic resistance may help to understand the processes leading to the emergence and dissemination of antibiotic resistance and also help to control it, at least in relation to the newer antibiotics now entering clinical practice.
Colonisation resistance
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Nowadays, the emergence and spread of antibiotic resistance have become an utmost medical and economical problem. It has also become evident that subinhibitory concentrations of antibiotics, which pollute all kind of terrestrial and aquatic environments, have a non-negligible effect on the evolution of antibiotic resistance in bacterial populations. Subinhibitory concentrations of antibiotics have a strong effect on mutation rates, horizontal gene transfer and biofilm formation, which may all contribute to the emergence and spread of antibiotic resistance. Therefore, the molecular mechanisms and the evolutionary pressures shaping the bacterial responses to subinhibitory concentrations of antibiotics merit to be extensively studied. Such knowledge is valuable for the development of strategies to increase the efficacy of antibiotic treatments and to extend the lifetime of antibiotics used in therapy by slowing down the emergence of antibiotic resistance.
Horizontal Gene Transfer
Bacterial Genetics
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Intrapartum antibiotic prophylaxis (IAP) is widely used, but the evidence of the long-term effects on the gut microbiota and subsequent health of children is limited. Here, we compared the impacts of perinatal antibiotic exposure and later courses of antibiotic courses on gut microbiota.This was a prospective, controlled cohort study among 100 vaginally delivered infants with different perinatal antibiotic exposures: control (27), IAP (27), postnatal antibiotics (24), and IAP and postnatal antibiotics (22). At 1 year of age, we performed next-generation sequencing of the bacterial 16S ribosomal RNA gene of fecal samples.Exposure to the perinatal antibiotics had a clear impact on the gut microbiota. The abundance of the Bacteroidetes phylum was significantly higher in the control group, whereas the relative abundance of Escherichia coli was significantly lower in the control group. The impact of the perinatal antibiotics on the gut microbiota composition was greater than exposure to later courses of antibiotics (28% of participants).Perinatal antibiotic exposure had a marked impact on the gut microbiota at the age of 1 year. The timing of the antibiotic exposure appears to be the critical factor for the changes observed in the gut microbiota.Infants are commonly exposed to IAP and postnatal antibiotics, and later to courses of antibiotics during the first year of life. Perinatal antibiotics have been associated with an altered gut microbiota during the first months of life, whereas the evidence regarding the long-term impact is more limited. Perinatal antibiotic exposure had a marked impact on the infant's gut microbiota at 1 year of age. Impact of the perinatal antibiotics on the gut microbiota composition was greater than that of the later courses of antibiotics at the age of 1 year.
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While wastewater is understood to be a critically important reservoir of antimicrobial resistance due to the presence of multiple antibiotic residues from industrial and agricultural runoff, there is little known about the effects of antibiotic interactions in the wastewater on the development of resistance. We worked to fill this gap in quantitative understanding of antibiotic interaction in constant flow environments by experimentally monitoring E. coli populations under subinhibitory concentrations of combinations of antibiotics with synergistic, antagonistic, and additive interactions. We then used these results to expand our previously developed computational model to account for the complex effects of antibiotic interaction. We found that while E. coli populations grown in additively interacting antibiotic combinations grew predictably according to the previously developed model, those populations grown under synergistic and antagonistic antibiotic conditions exhibited significant differences from predicted behavior. E. coli populations grown in the condition with synergistically interacting antibiotics developed less resistance than predicted, indicating that synergistic antibiotics may have a suppressive effect on antimicrobial resistance development. Furthermore E. coli populations grown in the condition with antagonistically interacting antibiotics showed an antibiotic ratio-dependent development of resistance, suggesting that not only antibiotic interaction, but relative concentration is important in predicting resistance development. These results provide critical insight for quantitatively understanding the effects of antibiotic interactions in wastewater and provide a basis for future studies in modelling resistance in these environments.Antimicrobial resistance (AMR) is a growing global threat to public health expected to impact 10 million people by 2050, driving mortality rates globally and with a disproportionate effect on low- and middle-income countries. Communities in proximity to wastewater settings and environmentally contaminated surroundings are at particular risk due to resistance stemming from antibiotic residues from industrial and agricultural runoff. Currently, there is a limited quantitative and mechanistic understanding of the evolution of AMR in response to multiple interacting antibiotic residues in constant flow environments. Using an integrated computational and experimental methods, we find that interactions between antibiotic residues significantly affect the development of resistant bacterial populations.
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The antibiotics are an essential group of therapeutic drugs used to kill bacteria on various levels in the human body. These antibiotics had played a significant role for the treatment as well as the prevention of bacterial infections. The effectiveness of antibiotics against bacterial infections cannot be denied. However, an overuse and misuse of antibiotics, the current poor hygiene and contamination control mechanisms have lead to the improvement of antibiotic resistance.
Anti-microbial or antibiotic resistance is an international public health issue, greatly dominant in the developing countries. Antibiotic resistance is a bacterial adaptation, which allows bacteria to persist regardless of the presence of antibiotics. Antibiotic resistance is a significant risk to human health and is being seen as a global environmental and economic risk. The relationship between bacterial resistance and misuse of antibiotics had been well documented, and was considered to be a major public health problem.
Antibiotics are important to treat the bacterial infections but inaccurately prescription, misuse and overuse of antibiotics are elevating the antibiotic resistance. It is still a significant health problem in developing countries where not many hospitals have facilities for microbiology of clinical isolates which can assign to blind treatment. Change in the bacteriological profile due indiscriminate use of antibiotics has been associated with the appearance of multiple drug resistance strains. Information regarding the antibiotic susceptibility profile is essential in the selection of the most appropriate treatment and can minimize the antibiotic resistance.
Preventive measures should be implemented in true sense to control antibiotic resistance. “Cleanliness is next to Godliness” and hence, clean surroundings as well as clean hands should be ensured. Soaps should be used for hand washing frequently. Awareness campaigns should be promoted and self-medication should be avoided. Antibiotic susceptibility investigations should be carried out for suspected bacterial infections.
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