- *Corresponding Author:
- S. Kumar
National Institute of Biologicals, Ministry of Health and Family Welfare, Noida 201303, Uttar Pradesh, India
E-mail: drsureshkumarmohil@gmail.com
Date of Received | 30 December 2020 |
Date of Revision | 20 February 2021 |
Date of Acceptance | 20 December 2021 |
Indian J Pharm Sci 2021;83(6):1308-1314 |
Abstract
Widespread usage of antibiotics disrupted the host bacterial mutualism in the human intestine. The antibiotic alterations can drive the functionality of the gut microbiota towards a state similar to those observed under various disease states in humans. The emergence of antibiotic-resistant bacteria further spurred the development of the antimicrobial crisis all over the world. Antibiotics have an essential role in treating various diseases. To understand the intricate relationship between antibiotics and human gut microbiota, the basic understanding of the microbial signature of gut dysbiosis in human patients and murine models in response to antibiotics treatment is very crucial. Therefore, we examined the effects of most commonly used antibiotics on human and murine gut microbiota, when administered alone or in a combination, under this article.
Keywords
Antibiotics, gut ecology, murine microbiota, human microbiome
Emerging priorities towards gut microbiota research have been acknowledged across the world due to their extensive involvement in health and development or progression of diseases [1]. The human gut microbiota is a highly complex and dynamic community dominated by bacterial species belonging to Bacteroidetes, Firmicutes, Actinobacteria, Proteobacteria. Fusobacteria and Verrucomicrobia with two major phyla Firmicutes and Bacteroidetes account for 90 % of gut microbiota population [2]. Prominently, the human gut ecosystem is not the static element and primarily driven by various factors like host physiology, diet, antibiotics and the interactions between individual microbes [3]. The antibiotics are considered as magic bullets owing to their revolutionized influence in the treatment of infectious disease [4]. They must apply in life-threatening conditions like sepsis or a severe lung infection. But in general, they have a devastating effect on gut microbiota and should not be taken as a casual drug. One of the most attentions is the indiscriminate, irrational and prolonged use of antibiotics that has spiked the severe microbial dysbiosis. The chaotic shift in dominating phyla, transient or profound loss of microbial diversity, a decrease of colonization resistance (e.g. protection against Enterobacteriaceae), overgrowth of multidrug resistant or opportunistic pathogens (e.g. Clostridium difficile), recurrence of infection and finally the development of antibiotic resistance are the main damaging consequence of severe use of antibiotics [5,6]. Several lines of evidence strengthen that microbiota have a certain degree of resilience and regain to pre-treatment state after the discontinuation of antibiotics treatment. However, the recent studies on long term effects of antibiotic intake have indicated that the emergence of Antibiotic Resistance Genes (ARGs) prevent the complete resilience in microbiota even after long periods of months and even years [1,7]. The long- lasting consequences of antibiotics on human gut microbiota are generally depending upon the spectrum of factors related to host as well as antibiotics [7,8]. Various studies described the alteration of gut microbiota in human and murine models with antibiotics perturbations. Most of the studies have detailed the modulation of microbiota at the phylum level while few studies only extended the microbial shift up to the genus level. Many studies also showed the different microbiota shifts in the inter-individual [9], inter-murine models [10,11] and inter-species [12] with the same antibiotic. Besides, there is a deficiency in the reporting of outcomes by different researchers on account of different techniques intended for microbial analysis. In this setting, we have endeavored to delineate the critical microbial signature of gut dysbiosis of human and murine models in response to most clinically relevant antibiotic driven perturbations. This review focuses on the impact of commonly used antibiotics either in single or in cocktails and their effects on microbiota shift in human and murine models. Effect of various classes of antibiotics on gut microbiota is discussed below. Bifidobacteria, Bacteroides thetaiotaomicron, Bacteroides fragilis, Clostridium cluster XIVa and IV are the beneficial species of gut microbiota [13]. Antibiotics are capable of changing the composition of human gut microbiota. The broad-spectrum antibiotics have a pronounced effect in diminishing microbial diversity (1/3rd to 1/4th levels) as well as the exclusion of microbial niches that allow the proliferation and colonization of opportunistic pathogens like Clostridium difficile infection [14]. Several antibiotics and host-related factors have implicated in the undesirable effect of gut microbiota. Nevertheless, the accumulating scientific evidence designated that the long-term changes of gut microbiota were after treatment with well-absorbed antibiotics. An example is a cocktail of clarithromycin plus metronidazole (4 y) [15], clindamycin (2 y) [16], lincosamides (2 y) [17] ciprofloxacin (1 y) [18] and quinolones (1 y) [19,20]. The poorly absorbed antibiotics, fosfomycin, tetracycline [21,22], sulphonamide [23], carbapenems [24,25] and penicillin [26,27] observed with short term changes on gut microbiota. Although nitrofurantoin which is well absorbed but having fast serum clearance also has minimal effect on gut microbiota [23]. Remounting studies sustained that antibiotics treatment to humans commonly decreased the ratio of Firmicutes/Bacteroidetes due to preferential growth of Bacteroidetes over Firmicutes [24] and the corresponding increase in the numbers of Proteobacteria [25,26]. Actinobacteria increased with nitrofurantoin and decreased with lincosamides, macrolides, beta-lactams, fluoroquinolones, while no consistent change noticed with the aminoglycosides, tetracyclines, rifamycin, nitroimidazole and glycopeptides [8,27-29]. Excluding nitrofurantoin, most of the antibiotic class inscribed a decrease in the relative abundance of Firmicutes [8,27-30]. The relative abundance of Bacteroidetes affirmed to increase with aminoglycosides, tetracyclines, macrolides, beta- lactams and fluoroquinolones groups while reduced with nitroimidazole and glycopeptides. Increase of Proteobacteria spotted in almost every class of antibiotics except in tetracycline’s and lincosamides, which did not make any significant change in their abundance [8,27]. Many researchers have worked on the gut microbiota by either using the single antibiotics or in the cocktail. The treatment consequence of antibiotics at the phyla level of microbiota was almost followed similarly in human and murine species. Some evidence showed that although the qualitative differences have existed in the microbiota of humans and rodents while they have high qualitative similarity and even the faeces of both species shared the similar representatives of phyla and a large section of common genera [31]. On the contrary, few studies also informed that the inconsistency between human and animal models could be due to differences in relative dosage to administer [32]. The comparison of microbiota shift between the human and murine with the perturbations of most clinically relevant antibiotics has been provided in Table 1 [33-38] and Table 2 [39-47] and discussed further below: Antibiotic vancomycin treatment manifested similar changes in gut microbiota at the phylum level. The diminutions in the relative abundance of Firmicutes and Bacteroidetes and an increase of Proteobacteria and no relative change of Actinobacteria phyla in both human and murine species observed. However, the increase of Tenericutesin, Anaeroplasmataceae, Akkermansiaceae and decrease of Melainabacteria additionally perceive in murine species. The most striking that the cocktail of vancomycin plus imipenem diminished the abundance of Lactobacillus species in a human while in murine species, their increase of percentage in vancomycin treatment, as well as a cocktail of vancomycin plus imipenem detected [33-35,48]. The administration of Lactobacillus species daily to mice for 1 w before and 2 w after antibiotic treatment revealed the interest finding that out of two strains of Lactobacillus, one of Lactobacillus paracasei CNCM I-3689 inoculation dramatically decreased Vancomycin-Resistant Enterococci (VRE) numbers in the faeces proclaimed an improvement of the reduction of VRE [48]. Ampicillin increased in the relative abundance of Firmicutes, Bacteroidetes and Proteobacteria in humans. Comparatively, in rodent models, the decrease of Firmicutes, no change in Bacteroidetes and the increase of Proteobacteria appeared. Importantly, few investigations in humans claimed the complete loss of Bacteroidetes and Verrucomicrobia. The decrease of beneficial microbes Bifidobacterium, Lachnospiraceae, Coprobacillus, Dorea and Lactobacillus in human and Bifidobacterium, Eubacterium, Subdoligranulum, Faecalibacterium and Anaerobutyricum in rodent models appeared. Apart from this, the increase of Tenericutes and Anaeroplasma has also been detected in humans. The majority of a similar trend of change of microbial shift has revealed in both species. Most interesting is that the combination of ampicillin plus gentamicin and ampicillin plus amoxicillin treatment in humans increased the Bifidobacterium [33-35,41,42]. Antibiotic, amoxicillin treatment implied the decrease in the relative abundance of Actinobacteria and Firmicutes and the increase of both Bacteroidetes and Proteobacteria in human and rodent models. The similar microbial shift is also perceived at species level including the increase of Lactobacillus, Bacteroides and Enterobacteriaceae except for Bifidobacterium that increased in humans on the contrary to rodent species. Further, the Fusobacteria was also affected in humans [34,36,43]. Clindamycin treatment made the diminution of Actinobacteria, Firmicutes and Bacteroidetes, and increased pathogenic species of Proteobacteria in humans. Bacteroidetes and Proteobacteria only declined in rodent models. The decreased in the relative abundance of Eubacterium, Lactobacillus, Lachinospira, Blautia, Coprococcus, Dorea, Veillonella, Roseburia, Ruminococcus, Streptococcus, Bacteroides, Fusobacteria and the increased of Citrobacter, Enterobacter and Klebsiella the dominant genera accounted in human. In rodent models, the contrary outcome placed in the case of Escherichia coli (E. coli) which decreased in humans but increased in rodents [34,4]. Antibiotic ceftriaxone exposure altered all dominant phyla Actinobacteria, Firmicutes, Bacteroidetes and Proteobacteria in humans while the profound changes in Firmicutes only heeded in rodent models. The reduction of Bifidobacterium, Clostridium, Lactobacillus, Bacteroides, E. coli and Enterobacteriaceae and the increase of Eubacterium, Enterococcus and Klebsiella were dominant in humans. The increase of Robinsoniella and the decrease of Enterococcus mainly reckoned in rodent models. Interestingly both, the shoot up as well as the decline of Enterococcus also cited in rodents by the researchers [37,38,42,45,46]. Ciprofloxacin treatment profoundly decreased the relative abundance of Actinobacteria, Firmicutes and increased Proteobacteria in humans. The contrary finding of either decrease or stable for Bacteroides also acknowledged. The Firmicutes, Bacteroidetes and Proteobacteria were the main affected phyla in rodents. The decrease of Proteobacteria in contrast to the human in rodent models was the most striking conclusion. The reduction of most of the beneficial microbes Bifidobacterium, Lactobacillus, Peptostreptococcus, Veillonella, Ruminococcus, Bacillus, Parabacteroides and rise of pathobionts Citrobacter, Helicobacter, Klebsiella, Enterobacter noticed at the genus level in human. The increase of Coprococcus, Bacteroides, Marvinbryantia and decrease of Streptococcus, Lactobacillus, Clostridium, Odoribacter, Alistipes, Prevotellaceae were Turicibacter reported at the lower taxonomic level [34,47]. This review presents a concise understanding of the effect of various antibiotics on gut microbiota in both human and murine models. The antibiotic classes of nitrofurantoin increase the abundance of Actinobacteria while no significant change is observed with aminoglycosides, tetracyclines, rifamycin, nitroimidazole and glycopeptides. Most of the antibiotic classes reduce the abundance of Firmicutes except the nitrofurantoin. The glycopeptides and nitrofurantoin classes of antibiotics diminish the relative abundance of Bacteroides. Similarly, tetracycline and lincosamide reduce Proteobacteria richness. In conclusion, these antibiotics classes have the least collateral damage to gut commensal microbes. The delineation of microbiota from various studies indicates qualitative similarity in the shift of gut microbiota between the human and murine models with the perturbations of various antibiotics. However, the striking difference in the shift of selective microbial species between human and animal models has also been recognized. Therefore, the careful consideration of the effects of various antibiotics on the ecology of microbiota should be taken into account while translating the gut microbiome research results from mice models to humans. The consequences of inappropriate use of antibiotics on human health have to evoke the alarming situation across the world. The quality studies are required to understand the antibiotics turbulence within the gut microbiome for critical patients to avoid damage or replace the depleted beneficial microbiota. The use of narrow-spectrum antibiotics and the cocktail of broad-spectrum antibiotics minimize the collateral damages on gut microbiota. Currently, the use of probiotics, faecal microbiota transplantation of beneficial microbiota and phage therapy are the promising strategies to target the selective pathogens without disturbing the commensal gut microbiota.
Antibiotics | Actinobacteria | Firmicutes | Bacteroidetes | Proteobacteria | References |
---|---|---|---|---|---|
Vancomycin | ↑Enterococcus | ↑Enterobacteriaceae | [33,34] | ||
↑Eubacterium | ↑E. coli | ||||
↓Clostridiumcluster IV & XIVa | ↑Haemophilus | ||||
↑Serratia | |||||
Vancomycin+Imipenem | ↑Bacillus mycoides | ↑Tannerella | ↑Klebsiella | ||
↓Lactobacillus | ↑Bacteroides | ||||
Ampicillin | ↓Bifidobacterium | ↑Enterococcus | ↑Bacteroidetes | ↑Klebsiella | [33-35] |
↓Lachnospiraceae | ↑Enterobacter | ||||
↓Lactobacillus | |||||
Ampicillin+Gentamicin | ↓Actinobacteria | ↓Firmicutes | ↑Bacteroides | ↑Proteobacteria | |
↑Bifidobacterium | ↓Lactobacillus | ||||
Ampicillin+Amoxicillin | ↑Bifidobacterium | ↑Enterococcus | ↑Bacteroides | ↑Enterobactereaceae | |
↑Eubacterium | ↑Enterobacter | ||||
↓Roseburia | ↑Klebsiella | ||||
↓Veillonella | ↓E. coli | ||||
Amoxicillin | ↑Bifidobacterium | ↑Eubacterium | ↑Parabacteroides | ↑Citrobacter | [34,36] |
↓Collinsella | ↑Lactobacillus | ↑Alistipes | ↑Enterobacter | ||
↑Ruminococcus | ↑Bacteroides | ↑Klebsiella | |||
↑Enterococcus | ↑Morgenella | ||||
↓Coprococcus | ↑Shigella | ||||
↓Lachnospira | ↑Pseudomonas | ||||
↓↓Oscillospira | ↓E. coli | ||||
↓↓Roseburia | |||||
Clindamycin | ↓Bifidobacteria | ↓Eubacterium | ↓Bacteroides | ↑Citrobacter | [34] |
↓Lactobacillus | ↑Enterobacter | ||||
↓Lachnospira | ↑Klebsiella | ||||
↓Coprococcus | ↓E. coli | ||||
↓Roseburia | |||||
↓Ruminococcus | |||||
↓Streptococcus | |||||
Ceftriaxone | ↓Bifidobacteria | ↑Eubacterium | ↓Bacteroides* | ↑Klebsiella | [37,38] |
↑Enterococcus | ↓E. coli | ||||
↓Lactobacillus | ↓Enterobateriaceae | ||||
↓Clostridium | |||||
Ciprofloxacin | ↓Bifidobacterium* | ↑Clostridium | ↓Parabacteroides | ↑Citrobacter | [34] |
↓Corynebacterium | ↑Butyricicoccus | ↓Tannerella | ↑Helicobacter | ||
↑Mediterraneibacter | ↓Bacteroides * | ↑Klebsiella | |||
↑Blautia | ↑Enterobacter | ||||
↑Enterococcus | ↓↓Enterobacteriaceae | ||||
↓Clostridium | |||||
↓Lactobacillus* | |||||
↓Veillonella | |||||
↓Ruminococcus |
Note: *Bhalodi et al. (2019) finding indicated about the stable nature of gut microbiota. ↓↓-Strong suppression; ↓-Moderate suppression; ↑-Increase in number
Table 1: Effect of Commonly Used Antibiotics and Their Combinations on The Composition Of Human Gut Microbiota
Antibiotics | Actinobacteria | Firmicutes | Bacteroidetes | Proteobacteria | References |
---|---|---|---|---|---|
Vancomycin | ↓↓Enterorhabdus | ↓Lachnospiraceae | ↓Muribaculaceae | ↑Enterobacteriaceae | [39] |
Vancomycin+Imipenem | ↓Ruminococcaceae | ↓Bacteroidaceae | ↑Burkholderiaceae | [40] | |
↑Lactobacillaceae | ↓Prevotellaceae | ↑E. coli | |||
↑Streptococcus | ↓Rikenellaceae | ↑Enterobacter | |||
↑Lactobacillus | ↓Bacteroidetes | ↑Escherichia | |||
↑Planomicrobium | ↓↓Odoribacter | ↑Shigella | |||
↓↓Roseburia | ↓↓Alistipes | ↑Citrobacter | |||
↓↓Candidatus | ↓↓Bacteroides | ↑Achromobacter | |||
↓↓Clostridium | ↓↓Parabacteroides | ↑Salmonella | |||
↓↓Turicibacter | ↓↓RC9 | ||||
↓↓Lachnospiraceae | ↓↓S24-7 | ||||
↓↓Ruminococcaceae | ↓↓Prevotellaceae | ||||
Ampicillin | ↓Bifidobacterium | ↑Firmicutes | ↑Bacteroidetes | ↑Proteobacteria | [41,42] |
↑Enterococcus↓Lachnospiraceae↓Coprobacillus | ↑Klebsiella | ||||
↓Dorea | ↑Enterobacter | ||||
↓Lactobacillus | |||||
Amoxicillin | ↓Bifidobacterium | ↑Lactobacillus | ↑Bacteroidaceae | ↑Enterobacteriaceae | [43] |
↓Rikenellaceae | |||||
Amoxicillin | ↓Clostridiales | ↓Bacteroidetes | ↑Proteobacteria | ||
Clavulanate | |||||
Amoxicillin+Metronidazole+Bismuth | ↓Firmicutes | ↑Bacteroidetes | ↑Proteobacteria | ||
↑Enterobacteriaceae | |||||
Clindamycin | ↓Bacteroidetes | ↑Proteobacteria | [44] | ||
↑E. coli | |||||
Ceftriaxone | ↓↑Enterococcus | [45,46] | |||
↑Robinsoniella | |||||
↓Lactobacillus | |||||
Ciprofloxacin | ↑Coprococcus | ↑Bacteroides | ↓Proteobacteria | [40,47] | |
↓↓Streptococcus | ↑Marvinbryantia | ||||
↓↓Lactobacillus | ↓↓Odoribacter | ||||
↓↓Clostridium | ↓↓Alistipes | ||||
↓Prevotellaceae |
Note: ↓↓-Strong suppression; ↓-Moderate suppression; ↑-Increase in number; ↑↓- Positive and negative effects seen in different studies
Table 2: Effect of Commonly Used Antibiotics and Their Combinations on the Composition of Murine Gut Microbiota
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