Antimicrobial resistance pattern in domestic animal - wildlife - environmental niche via the food chain to humans with a Bangladesh perspective; a systematic review

Abstract

Background

Antimicrobial resistance (AMR) is a growing concern globally, but the impact is very deleterious in the context of Bangladesh. Recent review article on the AMR issue demonstrates the scenario in human medicine; unfortunately, no attempt was taken to address this as One Health issue. The antimicrobial resistance bacteria or genes are circulating in the fragile ecosystems and disseminate into human food chain through direct or indirect ways. In this systematic review we are exploring the mechanism or the process of development of resistance pathogen into human food chain via the domestic animal, wildlife and environmental sources in the context of One Health and future recommendation to mitigate this issue in Bangladesh.

Results

Tetracycline resistance genes were presenting in almost all sample sources in higher concentrations against enteric pathogen Escherichia coli. The second most significant antibiotics are amino-penicillin that showed resistant pattern across different source of samples. It is a matter of concerns that cephalosporin tends to acquire resistance in wildlife species that might be an indication of this antibiotic resistance gene or the pathogen been circulating in our surrounding environment though the mechanism is still unclear.

Conclusions

Steps to control antibiotic release and environmental disposal from all uses should be immediate and obligatory. There is a need for detailed system biology analysis of resistance development in-situ.

Background

Antimicrobial resistance (AMR) is one of the emerging issues globally including in low and middle-income countries (LMICs) for human health threats [1]. Primarily, AMR is the ability of a microbe to avoid the effects of an antimicrobial even though exposure to recommended doses. AMR in bacteria can be achieved by several ways including the inherent capability of natural resistance by certain bacteria, genetic mutation or acquired resistance through their surroundings [2]. Bangladesh is a developing and middle-income country in Southeast Asia (SEA) with a dense human population. The presence of diverse wildlife as well as a livestock population (cattle, sheep, goat, and poultry etc.) reservoir, has identified Bangladesh as a country where high prevalence of antibiotic resistance is documented against important pathogens in humans [3]. Developing countries such as Bangladesh are vulnerable to AMR issues for their poor surveillance health care facilities [4], unhygienic and unregulated conditions of the agriculture, livestock and aquaculture food production process, poor sanitation, widespread misuse and irrational antibiotics and prophylactics use in poultry, livestock and aquaculture industry [5]. The probiotics used in veterinary feeds contribute to the burden of antibiotic resistance bacteria (ARB) and/or antibiotic resistance genes (ARGs) in the human food chain [6]; therefore, people in the community acquiring resistance pathogens from food, environment, and wildlife sources. People affected with various illnesses (for example urinary tract infection) may not respond to the first line of drugs (such as amoxicillin, amoxiclav, ampicillin, and ciprofloxacin) available for their treatment [3]. This enhances the risk of mortality, longer duration of hospitalization and higher hospital costs. Additionally, physicians may resort to alternative drugs such as fosfomycin, nitrofurantoin, tigecycline, carbapenems [7].

Poultry production system is considered a high risk for AMR emergence in low-income settings, particularly in Bangladesh, where commercial poultry production is rapidly increasing. The majority of antimicrobial classes are used both in humans and animals (such as domestic mammals, birds, and farmed fish etc.) [8]. There are significant differences in the ways of treating companion animals (dog, cat, pet birds) compared to food-producing animals (poultry, cattle). In the case of food animals, entire flocks or pens are treated with antimicrobials through feed and water [9]. In addition, food animals exposed to long term, low dose, mass medication for the purpose of growth promotion create a favorable condition for selection and spread of resistant bacteria within and between groups of animals and humans [10]. Moreover, the non-veterinarian (popularly called Quack) prescribed antibiotics, used unwisely and unprofessionally for treating diseases in animals overwhelmed this resistance pattern.

ARB and ARGs dissemination from food producing animals to the surrounding environment niches, takes place in the excretion of antimicrobials through urine or feces onto surface waters and soils, or the application of animal manure as fertilizer to soil or ponds [11]. Untreated animal waste is used for a variety of purposes in subsistence economies like Bangladesh. Movement of food and animals has also led to the development of global dissemination of AMR.

Environmental contamination with antibiotic residues and resistant organisms/genes due to human activity has been demonstrated from pharmaceutical plants, hospital effluents and untreated wastewater, and may be a leading driver of ABR in low-resource settings [12].

Little is known about the ecology of AMR outside human and animal hosts; however, we increasingly understand that by focusing only two of these One Health compartments of the transmission circle, will result in an incomplete epidemiological background of resistance mechanism [9]. Bacterial populations are significantly diverse, both originating from aquatic and soil habitats. This poses the serious possibility of acquiring resistance capability through selection pressure from their environment which can be transmitted to humans either by direct contact with animals or food products, or indirectly via environmental pathways [9]. Recently a review article entitled “Antibiotic resistance in Bangladesh: A systemic review” has been published by AMR regarding issues in human medicine [3]. Unfortunately, no attempts have yet been made regarding the AMR issue in domestic animals, wildlife and the environment. Additionally, the human food chain is the major route of transmission of ARB and ARGs from other sources [9]. In this review, we discuss this issue systematically. The goal was to generate reference for future works and provide a recommendation to negotiate the AMR through implementing a One Health program.

Result

Demographic characteristics of different studies utilised in this review

We reviewed 45 articles that described AMR in different samples from domestic animals, wildlife, food sources (mainly originated from animal sources), environmental and insects. The majority of the articles published (53%) during the recent period (2015–2019), highlights the importance of the AMR issue in Bangladesh (Table 1). Most of the research work is based in Dhaka and surrounding cities (Mymensingh, Savar), due to the ease of both collecting samples and access to laboratories for testing.

Table 1.

Characteristics of the studies included in the review (N = 45)

Characteristics	Frequency (%; 95%CI)	Reference
Publication Year
2005–2010	2 (4.44; 0.05–15.14)	[13, 14]
2011–2014	19 (42.22; 27.65–57.84)	[15–33]
2015–2019	24 (53.33; 37.87–68.33)	[34–57]
Location
Dhaka	13 (28.88; 16.36–44.31)	[13, 14, 20, 22–24, 30–32, 34, 36–38]
Chittagong	6 (13.33; 5.05–26.79)	[15, 21, 39–42]
Rajshahi	2 (4.44; 0.05–15.14)	[17, 43]
Mymensingh	10 (22.22; 11.20-37.08)	[19, 26, 28, 35, 44–47, 55, 56]
Dinajpur	2 (4.44; 0.05–15.14)	[27, 48]
Savar	2 (4.44; 0.05–15.14)	[18, 33]
Kustia	1 (2.22; 0.05–11.77)	[49]
Dhaka + Mymensingh	1 (2.22; 0.05–11.77)	[50]
Chittagong + Rajshahi	1 (2.22; 0.05–11.77)	[51]
Rajshahi + Hakaluki	1 (2.22; 0.05–11.77)	[52]
Gazipur + Savar	1 (2.22; 0.05–11.77)	[16]
Gazipur + Cox’s bazar	1 (2.22; 0.05–11.77)	[53]
Cox’s bazar + Kuakata	1 (2.22; 0.05–11.77)	[29]
Chittagong + Cox’s bazar + Rangamati	1 (2.22; 0.05–11.77)	[25]
Mymensingh + Gazipur + Sherpur	1 (2.22; 0.05–11.77)	[54]
Jamalpur + Tangail + Netrokona + Kishorganj	1 (2.22; 0.05–11.77)	[57]
Type of sampling source
Live bird market	6 (13.33; 5.05–26.79)	[13, 28, 34, 39, 54, 57]
Fish market	2 (4.44; 0.05–15.14)	[47, 56]
Egg market	3 (6.66; 1.39–18.66)	[14, 21, 22]
Dairy farms	3 (6.66; 1.39–18.66)	[35, 44, 55]
Poultry farms	4 (8.88; 2.47–21.22)	[16, 18, 19, 33]
Scavenging/ Household farm/ Backyard/Wild birds	6 (13.33; 5.05–26.79)	[17, 25–27, 45, 48]
Water/ River/ Household water	3 (6.66; 1.39–18.66)	[32, 43, 52]
Street food + Ready to eat food + Street food vendor/ Supershop/ Restaurant	8 (17.77; 8.05–32.05)	[20, 23, 24, 36, 37, 40, 42, 49]
Veterinary hospital/ Medical/ Slaughter house and or effluents/dustbins	7 (15.55; 6.49–29.45)	[15, 30, 31, 38, 46, 50, 51]
Wild life	3 (6.66; 1.39–18.66)	[29, 41, 53]
Sample Category
Chicken	10 (22.22; 11.20-37.08)	[13, 16–19, 33, 34, 39, 54, 57]
Food	5 (11.11; 3.70-24.05)	[20, 36, 37, 40, 56]
Egg	3 (6.66; 1.39–18.66)	[14, 21, 22]
Milk	5 (11.11; 3.70-24.05)	[23, 24, 35, 44, 55]
House crows	2 (4.44; 0.05–15.14)	[41, 51]
Pigeon + Duck + Quail	6 (13.33; 5.05–26.79)	[25–28, 45, 48]
Brown headed gulls	1 (2.22; 0.05–11.77)	[29]
Open bill stork	1 (2.22; 0.05–11.77)	[52]
Wild ducks	1 (2.22; 0.05–11.77)	[17]
Dog + Cat + Cattle	2 (4.44; 0.05–15.14)	[38, 50]
Deer	1 (2.22; 0.05–11.77)	[53]
House flies	2 (4.44; 0.05–15.14)	[46, 47]
Cockroach	1 (2.22; 0.05–11.77)	[42]
Household water/ effluents/ water	5 (11.11; 3.70-24.05)	[15, 30–32, 43]
Currency	1 (2.22; 0.05–11.77)	[49]
Pathogen isolated
E. coli	16 (35.55; 21.86–51.21)	[13, 16, 17, 25, 26, 29–32, 39, 43, 46, 49, 51–53]
Salmonella	13 (28.88; 16.36–44.31)	[14, 18, 19, 21, 22, 27, 28, 40, 41, 45, 47, 48, 56]
Enterobacter	1 (2.22; 0.05–11.77)	[33]
Staphylococcus	5 (11.11; 3.70-24.05)	[15, 38, 42, 50, 55]
E. coli + Salmonella	3 (6.66; 1.39–18.66)	[35, 37, 54]
E. coil + Staphylococcus	1 (2.22; 0.05–11.77)	[44]
E. coli + Salmonella + Staphylococcus	2 (4.44; 0.05–15.14)	[34, 36]
E. coli + Salmonella + Staphylococcus + Vibrio	1 (2.22; 0.05–11.77)	[23]
E. coli + Salmonella + Campylobacter	1 (2.22; 0.05–11.77)	[57]
E. coil + Staphylococcus + Klebsiella	1 (2.22; 0.05–11.77)	[24]
Staphylococcus + Alcalegene + Klebsiella + Enterococcus + Actinobacillus + Proteus	1 (2.22; 0.05–11.77)	[20]
Sample category  (N = 48)
Domestic	6 (12.5; 4.72–25.26)
Food	15 (31.3; 18.65–46.25)
Environment	14 (29.2; 16.95–44.06)
Wildlife	7 (15.6; 6.07–27.76)
Insects	6 (12.5; 4.72–25.26)

There are also good number of articles published based on the samples collected from other two cities (Rajshahi and Chittagong) (Table 1). The prominent source of samples were collected from live birds markets, scavenging poultry farming, commercial poultry farms and super shops or street food or restaurant (Table 1). If we consider the sample category, the most number of samples were collected from poultry including layer and broilers, pigeon [11]. There are several wildlife species that were sampled including deer, brown headed gulls, house crow, open bill stork and wild duck. There are a few studies that included wildlife environmental samples such as water bodies under the roosting site of wild birds (open bill storks) and hospital effluent wastage (house crow). Several food sources including vegetables, eggs and milk were included in several articles, in order to determine the resistance pattern against major zoonotic pathogen. Overall; 15 articles described the resistance patterns against Escherichia coli isolated from different sources of samples and there were also 12 articles for Salmonella spp. We observed that in 45 papers, they described 48 sample sources and we divided these into 5 categories. The highest number of samples (31.3%) was from food sources and 29.2% were from environmental sources. We also found similar percentages (12–15%) of samples were from domestic animals, wildlife and insect species.

Meta-analysis revealed the prevalence ofE. coli and Salmonella spp. isolated from different source of samples.

From meta-analysis, the estimated prevalence of E. coli ranged from 16.67% (95% CI: 7.24–26.1) to 95.68% (95% CI: 95.68 -89.53-101.58) with substantial heterogeneity (I²: 96.2%) in different sample categories (Fig. 1). The random effect estimated pooled prevalence was 59.24% (95% CI: 49.97–68.59). Overall, the highest prevalence of E. coli was recorded from food sources 61.77% (95% CI: 40.97–82.57) followed by insects (61%), wildlife (59.51%), environment (57.93%) and domestic animals (51.58%) (Fig. 1). Again, the estimated prevalence of Salmonella spp. ranged from 10% (95% CI: 2.41–17.59) to 91.11% (95% CI: 82.8-99.43); whereas, the heterogeneity varied from 21.07–47.06% in different sampled categories (Fig. 2). Moreover, the prevalence of salmonellosis varied from 21.07% in domestic animals and 42.36%, 45% and 47.06% in environmental, wildlife and food sources respectively.

Fig. 1.

Forest plot of E. coli prevalence isolated from different samples (the center dot representing point estimates where as Gray Square representing the weight of each study to the meta-analysis)

Fig. 2.

Forest plot of Salmonella spp. prevalence isolated from different samples (the center dot representing point estimates whereas gray square representing the weight of each study to the meta-analysis)

The antibiotic resistance prevalence percentage for E. coli and Salmonella spp.

Among all the antibiotics tetracycline, aminoglycosides, amino-penicillin, macrolides, fluroquinolone, chloramphenicol and polypeptides were resistant at different degree varied from 0.3–117.3% in all five sample categories in contrast to E. coli (Fig. 3). Besides, for Salmonella spp., only tetracycline and aminoglycosides were resistant at wider range 13.3 to 261.3% (Fig. 4). Across the different groups of sources, tetracycline resistance ranged from 34 to 70.4% against E. coli, whereas the range varied 94.3–173.5% in Salmonella spp. For amino-penicillin the resistance percentage was around 47–200% (E. coli 54.9% on highest and Salmonella spp. 82.4 to 200%) in samples collected from wildlife, food sources, domestic animals and also insects. The environmental samples showed 28% against E. coli.

Fig. 3.

The 100% Stacked bar chart illustrating antibiotics resistance prevalence against E. coli in contrast to different sample category (some of the values in the bar are > 100% due to repeated count of the antibiotics against each sample because each sample may be resistant against more than 1 antibiotic of same genera)

Fig. 4.

The 100% Stacked bar chart illustrating antibiotics resistance prevalence against Salmonella spp. in contrast to different sample category (some of the values in the bar are > 100% due to repeated count of the antibiotics against each sample because each sample may be resistant against more than 1 antibiotic of same genera)

The highest percentage of prevalence was demonstrated in food samples, domestic animal samples, environmental and wildlife samples. We observed a very low percentage of resistance against several antibiotics including polypeptide, furazolidone, monobactam, glycylcycline, nobvobiocin and bacitracin. For chloramphenicol, only insects (houseflies) showed a higher percentage (108%) of resistance. It is alarming that cephalosporin is as high as 51% in wild birds. Macrolides are useful for animal and human and their highest percentage of resistance was observed in wild life (51%) and insects (76%).

Discussion

Though AMR is a human health issue, but this phenomenon been developed at the human-animal-wildlife-environmental interface and subsequently the resistance gene or the bacteria get entry to human food chain (Fig. 5). Hence the One Health issue is a significant concept to get insights of this AMR problem in this systematic review paper in the context of Bangladesh.

Fig. 5.

Transmission dynamics of antimicrobial resistance bacteria or genes into human food chains through different components of One Health

The majority of the AMR study was conducted in large cities namely Dhaka, Chittagong, Rajshahi, and Mymensingh. There are several veterinary and research laboratory facilities in these parts of the country. Unfortunately, there is no systemic and structured surveillance on AMR issues, although it is a global concern. Considering antibiotic resistance patterns, it is very alarming that cephalosporin is highly resistant in wild animal species [58, 59], although it is unclear how this resistance occurs in those species. Bangladesh is a country of diverse wildlife and migratory bird species providing a unique environment for wildlife and domestic animal interaction; posing a serious impact on developing resistant bacteria. The most popular drug for treating domestic animal is tetracycline and its resistance prevails in all types of samples including food, domestic animals, wildlife and environment; therefore, we need to explore judicial alternatives of tetracycline for livestock production. Amino-penicillin also showed tremendous resistance patterns in all categories sampled. This drug is utilized in human and animal medicine and has highlighted the chance of a resistance gene or bacteria evolving through the interaction of domestic animals, wildlife and the environment directly into the human food chain. Here we have discussed systematically how antibiotic resistance is developing through different sources of One Health components that interplay with each other in the human food chain.

Resistance pathogen originated from human food

The transmission of resistant bacteria or resistant genes into the human food chain can occur directly or indirectly and in different ways. In this review we found antibiotic resistance of E.coli and Salmonella spp. in foods including meat (poultry), milk and milk products (both raw and pasteurized) [23, 44], eggs [21, 22], vegetables, ready to eat or street food (singara, lemon juice, fuska, sugarcane juice, borhani etc.) [20, 37, 40] and vegetables [36]. In addition, across all categories of sampling, E. coli and Salmonella spp. prevalence was higher in the human food chain than that originated from animals. However, Abattoir workers, poultry farm workers [13], vendors in live bird markets [14], food handlers as well as the consumers, represent the large number of people directly at risk of acquiring ARB via the food chain in developing countries where bio-security and food safety measures are limited. The evolving resistance pathogen enter to humans with animals and biological substances (such as blood, urine, feces, milk, saliva, semen) and enhances the rapid transmission and risk of dissemination of resistant bacteria from host to host [4]. Some studies also demonstrated the presence of the residue of different antibiotics (ciprofloxacin, enrofloxacin, amoxicillin, doxycyline, oxytetracylcine, and tetracycline) in poultry meat [60], milk, eggs [61] and fishes [62] as well.

Recently the government of Bangladesh has announced plans to allow meat imports from Brazil and three other countries. This would pose a serious risk for disseminating antibiotic resistance globally and from continent to continent. In addition, Bangladesh imports different food items from around the world which would have a high risk of development of AMR into the human food chain. Recent reports show a high prevalence of plasmid mediated mcr-1 E. coli in fecal samples from chicken imported from European countries in Tunisia [63]. This raises concerns as ARB and ARGs emerging in food animals and products in developed nations could endanger food safety and public health care settings in developing countries, where prevention and containment of ABR are limited and where high levels of ABR prevail [6].

Resistance pathogen originated from domestic animals

The dissemination of active antibiotics, metabolites or degradation products of antibiotics, (antibiotic residues), as well as ARGs and ARB excreted via food animals waste, have established hot spots for important reservoirs of ABR in farm premises and surroundings [4]. Dairy [35] and poultry farms [16, 28] and their environment, such as manure, waste water and vegetables [35] have been identified as hot spots of ABR pollution with antibiotic residues being detected in these areas across the world. The high prevalence of these residues in various ecological niches on the farms exacerbates the issue of AMR in developing countries like Bangladesh, as it increases the pool of ARB and AGFs in the ecosystem. Metagenomics analysis of faecal samples from cattle, swine, and chickens reveal the abundance of resistance genes regardless of antibiotic regime as prophylactics or treatment. Agricultural or host-associated metagenomes harbor an increased abundance of resistance genes encoding resistance against antibiotic and toxic compounds [12]. Horizontally transferred resistance bacteria and genes have been documented in environmental niches such as manure, water and soil, leading to microbial communities containing various levels of ARB. The environmental pollution may therefore, lead to the emergence and spread of new ARB and AGFs in food products [6].

Resistance pathogen originated from environment and insects

There are two main mechanisms, mutation and acquisition of resistance genes [2], responsible for developing resistance pathogens and the majority of ARGs have originated in the environmental microbiota. Antibiotic use with suboptimal doses, provides favorable conditions for the microbe’s acquisition of resistant gene transfer and recombination in environments, such as farms, hospitals, poultry markets, fish markets and sewage systems, which provide ideal incubation periods for resistance gene acquisition [64].

Antibiotics are not only used for human therapy, but also for farming systems and the surplus antibiotics that are not utilized can go into the dumping process which could have massive ongoing environmental effects. Moreover, some pharmaceutical companies dump antibiotics into the sewerage system, which ultimately end up in the river systems producing a massive impact on resistance strains enabling them to mutate and evolve into super bugs [12]. Unfortunately, millions of metric tons of antimicrobials have been released into the biosphere over the last half century. It is demonstrated that 50 kg ciprofloxacin is being dumped into the river every day in Hyderabad and this is a worst case example of irresponsible disposal [65].

Antibiotics are widely used in the agriculture production chain including use as growth promoters, prophylaxis or therapeutic treatments in aquaculture, pet animals and pest control. Biocides are used in toiletries, hand care and household cleaning products and all of these antibiotics are ultimately dispersed into the human food chain [12]. Together with the antibiotics used in clinics, this can lead to antibiotic contamination on farms, rivers receiving wastewaters and land receiving antibiotic-contaminated manure occurring frequently [66]. This can accelerate evolution towards resistance and also increases the risk for its transfer to human pathogens, which can be present in these ecosystems and this would constantly generate selection and maintenance pressure towards all sorts of resistance strains [67]. In this review, it is demonstrated that hospital and veterinary clinical wastage [51] and slaughterhouse effluents [15] provide a unique environment where bacteria re-assortment and mutation occur through gene transfer to wild (House crow and Asian pied sterling) [51] and domestic animals (scavenging poultry) [16] and inset (houseflies) [46].

Resistance pathogen originated from wildlife

Bangladesh is a densely populated country with diverse biodiversity and wildlife populations. Wildlife interaction with domestic animals and their environmental niche provide an avenue for developing and disseminating resistance pathogens in a variety of ways. Wild birds as such brown headed gulls and open bill storks living in water bodies where their fecal droppings contaminate rivers [29, 52], might transfer resistant bacteria or genes to other wildlife species, such as scavenging ducks and chickens [52]. They have great opportunities to disseminate resistance bacteria to domestic and scavenging birds and farm environments, where bio-security is arrested or compromised in Bangladesh perspectives. In addition, house crows are dominant scavenging wild birds in Bangladesh and their presence is abundant around dustbins, and effluents of veterinary, medical clinics and slaughterhouses [51]. Crows along with human and animal wastes figure hotspots for bacterial re-assortment, mutation and the emergence of resistant pathogens.

A number of bacteria cause disease in humans and other hosts including livestock and wildlife species and therefore their presence are ubiquitous in the environment. The interplay of this ecologically important pathogen is very crucial for evolution of AMR reservoir microorganism. Wild animals foraging in the human-influenced environment are colonized by bacteria with clinically important antibiotic resistance. The occurrence of such bacteria in wildlife is influenced by various biological, ecological, and geographical factors which are not yet fully understood [64]. A particular concern regarding the role of wild migrating birds in the dispersal of AMR bacteria is their capacity for long-range movements across borders or continents and from regions with high levels of AMR bacterial contamination to less affected areas. This issue is very important in the Bangladesh perspective, where migratory wild birds frequently travel long distances from Siberia to Bangladesh through Australasian pathways. In several studies, the E. coli-producing extended-spectrum beta-lactamases that have contributed resistance to third generation cephalosporins, have been identified in wild birds (Brown headed gulls and open bill stork) in remote areas with low human exposure such as in Hakaluki haor, Cox’s Bazar Beach [29].

One health approach to mitigate the AMR issue

The implications of these findings are global, though this study only covered Bangladesh. A great majority of antimicrobial classes are used in both humans and animals including domestic animals, birds, and farmed fishes [68]. For companion animals, antimicrobial uses are broadly similar to those in humans. In the case of food animals, antimicrobials are frequently used in food and water to the entire group for a prolonged period of time and often at sub-therapeutic doses. These conditions favor the selection and spread of resistant bacteria within and between animals as well as to humans through food consumption and other environmental pathways [69]. There is an increasing concern that heavy metals and biocide poisoning in animals and the environment may contribute to the development of resistance pathogens [36, 70]. In particular, common enteric pathogens with zoonotic importance as such E. coli, Salmonella spp. and Campylobacter spp., shedding through the fecal route, could contaminate meat and poultry products directly or indirectly through fruits and vegetables via environmental contamination [71]. Salmonella spp. resistance to any medically important antimicrobial is of public health concern, but is particularly important to human health of cephalosporins and fluoroquinolones [72] resistance, for which therapeutic options can be limited. Beta lactams such as third generation cephalosporins, may often be the only option available to treat serious infections. Concerns have been expressed that fluroquinolone use in food animals is linked to quinolone resistance against Salmonella spp. [73]. Many Salmonella spp. strains are also resistant to antimicrobials that have long been used as growth promoters in many countries (USA, Canada), as such tetracyclines, penicillins and sulfonamides [74].

E. coli is an important enteric and opportunistic pathogen of both humans and animals. E. coli infected animals develop clinical signs including enteritis, salpingitis, cellulitis, mastitis and septicemia [75]. Some strains of E. coli appear to be species specific, while others are responsible for clinical infection in humans. AMR is a rapidly growing concern for this zoonotic pathogen. ARB enters into the human food chain through inadequately treated drinking water [32] and consumed chicken meat [34], eggs and milk [24]. Wild birds [29], domestic scavenging poultry [17], commercial poultry farms [16] and contaminated environmental [52] interface all provide a reservoir for developing resistant bacteria. Unfortunately, resistance to third generation cephalosporins, fluroquinolones and/or carbapenems is increasing in developing countries as such Bangladesh.

Bangladesh, with its poor sewage [31] and water treatment facilities [30] exposes resistant bacteria to humans through their drinking water [32]. In addition, poor sanitation and personal hygiene also facilitates person to person transmission of enteric pathogens. All together, the globalised trade of animals and foods for increasing human consumption and the long distance migratory patterns of wildlife (birds), have lead to ARB being globally disseminated.

General measures are needed to address AMR in the context of global perspective, through controls on pollution from industrial, residential and agricultural sources. Innovative research as well as environmental monitoring and risk assessment is required to better understand the role of the environment in the selection and spread of AMR and there is an urgent need to strengthen the knowledge and evidence based research through surveillance and monitoring. Reducing the incidence of infection through effective sanitation, hygiene and infection prevention measures are of paramount importance. Overall, the basis is to optimize the use of antimicrobial medicines in human and animal health sectors as well.

Limitations

1. Only a few numbers of animal species are included in this study as such domestic poultry, broiler and layer birds. Other species of livestock including cattle, sheep and goat are also important.

2. Only a few districts are within the coverage of prevalence determination.

3. We do not have sufficient publications or articles on residue concentrations and their impact on human health in foods consumed by humans, which have originated from livestock and aquaculture, so there is not enough data to make an interpretation regarding the risk of residue. There are no available guidelines regarding the concentrations of tolerable levels of antibiotics in food products.

Conclusions

Future research should focus the following issues to gain better understanding the emergence of AMR issue and the ways to combat this public health threats in Bangladesh and global context as well:

1. The fate of ARB in the environment and wildlife is still unclear. Could AMR bacteria and mobile genetic elements carrying the resistance genes further evolve after their transfer to the environment? There are knowledge gaps regarding the magnitude and dynamic nature of spread regarding ARB and of ARGs within and between different ecological niches on farms, which deserve to be considered when assessing the transmission of ABR along the food chain.

2. Does the population of non-human ARGs have any relationship with the resistance population of human antibiotics? More research focusing on the human-animal-environmental interface and using novel approaches is required to understand the role of wild animals in the transmission of ABR and to assess potential risks for public health. A large-scale study of the Chinese poultry production system revealed a high prevalence of NDM-beta-lactamase-producing bacteria co-harbouring the plasmid-mediated colistin resistance gene mcr-1 in poultry and also in insects and wild birds. This study pointed out that frequent dissemination of resistant isolates to the farm environment, is occurring and it highlighted the importance of wildlife in the further dissemination of high-risk bacteria that combine resistance to two groups of last-line antibiotics.

3. It is crucial to understand whether wild animals are just temporary carriers of the ARB or if the resistant bacteria obtained from the contaminated environment can be maintained in their gut for a long time, giving more opportunities for further transmission to other individuals in the population or through the environment to other species.

4. Steps to control antibiotic release and environmental disposal from all uses should be immediate and obligatory.

5. There is a need for detailed system biology analysis of resistance development in-situ.

6. Metagenomic analysis of bacterial pathogens from diverse sources including hospitals, veterinary clinics, agricultural sites, live animal processing markets and waste water plants, might underline the evolution of bacterial pathogens for integrin mediated resistance gene transfer in resistance evolution.

7. Standardisation of the surveillance methodology is essential. Regular surveillance needs to be conducted throughout the country to keep track of the resistance patterns of the pathogens.

Methods

Literature search strategy

An organized literature search approach was used to detect all published studies reporting prevalence of predominantly. E. coli and Salmonella spp., along with the use and resistance pattern of different antibiotics in Bangladesh. Google scholar, Pub Med, Science direct and Bangladeshi online journal platforms, such as Bangladesh Journals Online (www.banglajol.info) were searched for relevant studies published between 2005 and 2019. Specific Boolean words were developed based on the objectives of the study, as presented in Table 2. The search terms have been adopted into outcome, population, descriptive and area categories. The papers were downloaded using the CVASU library network. The Boolean words of each category were combined using “AND” whereas “OR” was used to join the term within a category. Some modification has been conducted based on the requirements of the search engines, and advanced search criteria has been used to search Google scholar.

Table 2.

Electronic database search algorithm

Items	Boolean keywords
Outcome	Prevalence OR Incidence OR Occurrence OR Frequency OR Resistance OR Use OR Residues OR Identification OR Characterization OR Investigation OR Survey OR Rate
Population	E. coli OR Salmonella OR Antibiotics OR Antimicrobials
Descriptive	Domestic OR Street food OR Food OR Wildlife OR Insects OR Environment
Area	Barisal OR Chittagong OR Dhaka OR Mymensingh OR Rajshahi OR Rangpur OR Sylhet OR Bangladesh

Data extraction and recording

A pre-tested data extraction spread sheet was developed to create the variable, in line with study objectives. Previous literature on systematic review and meta-analysis was used to evaluate the spread sheet. Data was extracted and recorded for study location, citation, first author, title, time of study, year of publication, type of specimen, sample size, number of positive specimens, amount of antibiotics, specific antibiotic sensitivity or resistance level percentages, methods of detection used, culturing techniques and resistant genes. The recorded data was categorized into food, domestic, environmental, wildlife and insects based on the nature of the samples.

Data Analysis

All data was forwarded to STATA/IC-13.0 (Stata Corp, 4905 Lakeway Drive, College Station, Texas 77,845 USA) for statistical analysis. Descriptive statistics was done to identify the numbers of articles along with the percentages (%) and 95% CI. Study variations among the study were evaluated using Chi square (χ²) statistics followed by I² statistics to determine the degree of heterogeneity in the study. Crude prevalence was estimated by dividing the positive number of samples by the total sample number. Standard Error (SE) was calculated using standard formula for proportion calculation. A random effect meta-analysis model was applied using ‘metan’ command specifying random due to the high degree of heterogeneity in the study (I² > 75%). The output has been illustrated using a forest plot.

The antibiotic resistant percentage was calculated by using the number of samples tested which were resistant to specific antibiotics and contrasted with the total number of samples used for sensitivity testing. The result has been expressed as a percentage and illustrated in a proportionate bar diagram. As the antibiotics were grouped into their common genera some of the values are > 100% due to repeated estimation of antibiotics under each genera, as the previous literature did not state whether the samples were positive for more than one antibiotic or not.

Abbreviations

AMR

Antimicrobial Resistance

ABR

Antibacterial Resistance

ARB

Antibiotic Resistance Bacteria

ARGs

Antibiotic Resistance Genes

AGF

Agricultural Food Products

CVASU

Chattogram Veterinary and Animal Sciences University

LMIC

Low and Middle-Income Countries

SEA

Southeast Asia

SE

Standard Error

CI

Confidence Interval

Authors' Contributions

SAK and MMH conceptualized the article. SAK and MAI searched and sorted the article, extracted and recorded the data; those were analyzed and interpreted by MAS. SAK and AHS were the key personnel in preparation of manuscript. All authors read and approved the final manuscript.

Funding

This study was supported by Bangladesh Bureau of Educational Information & Statistics (BANBEIS) (project number SD 2019967). The funders played no role in the design and as well as the conclusion of the study.

 Availability of data and materials

All data generated or analyzed during this study are included in this article.

Ethics approval and consent to participate

Not required.

Consent for publication

Not applicable.

Competing interests

No conflict of interest.