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Review: Microbial endocrinology: intersection of microbiology and neurobiology matters to swine health from infection to behavior

Published online by Cambridge University Press:  26 February 2019

J. M. Lyte*
Affiliation:
Department of Food Science and Human Nutrition, Iowa State University, Ames, IA 50011, USA
M. Lyte
Affiliation:
Department of Veterinary Microbiology & Preventive Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA
*
Present address: Poultry Production & Product Safety Research Unit, Agricultural Research Service, USDA, Fayetteville, AR 72701, USA. E-mail: [email protected]

Abstract

From birth to slaughter, pigs are in constant interaction with microorganisms. Exposure of the skin, gastrointestinal and respiratory tracts, and other systems allows microorganisms to affect the developmental trajectory and function of porcine physiology as well as impact behavior. These routes of communication are bi-directional, allowing the swine host to likewise influence microbial survival, function and community composition. Microbial endocrinology is the study of the bi-directional dialogue between host and microbe. Indeed, the landmark discovery of host neuroendocrine systems as hubs of host–microbe communication revealed neurochemicals act as an inter-kingdom evolutionary-based language between microorganism and host. Several such neurochemicals are stress catecholamines, which have been shown to drastically increase host susceptibility to infection and augment virulence of important swine pathogens, including Clostridium perfringens. Catecholamines, the production of which increase in response to stress, reach the epithelium of multiple tissues, including the gastrointestinal tract and lung, where they initiate diverse responses by members of the microbiome as well as transient microorganisms, including pathogens and opportunistic pathogens. Multiple laboratories have confirmed the evolutionary role of microbial endocrinology in infectious disease pathogenesis extending from animals to even plants. More recent investigations have now shown that microbial endocrinology also plays a role in animal behavior through the microbiota–gut–brain axis. As stress and disease are ever-present, intersecting concerns during each stage of swine production, novel strategies utilizing a microbial endocrinology-based approach will likely prove invaluable to the swine industry.

Type
Review Article
Copyright
© The Animal Consortium 2019 

Implications

The microbiota constitutes microorganisms found on virtually the pig’s entire body sites exposed to the environment, including the gastrointestinal tract and lung, each with unique potential to affect pig health and production. Microbial endocrinology, the study of bi-directional communication between microbiota and host, provides an evidence-based conceptual framework immediately applicable in swine research for the design of testable hypotheses. Here we draw on microbiota research in swine and other animals, as well as agriculture, to introduce a new mechanistic way to understand how the microbiota may improve pig health and performance.

Introduction

Microbial endocrinology represents the union of two seemingly disparate fields; microbiology and neurophysiology (Lyte, Reference Lyte2016b). It is based on the recognition and production of neurochemicals that are common to both microbe and host, allowing these small molecules to serve as a common evolutionary-based language for bi-directional communication (Lyte, Reference Lyte2014). Indeed, the acquisition of the cell-based communication system that underpins the nervous system of vertebrates has been hypothesized to have occurred in large part due to horizontal gene transfer from bacteria (Iyer et al., Reference Iyer, Aravind, Coon, Klein and Koonin2004). The central ‘take home’ message of this review is that microbial endocrinology-based mechanisms mediate the ability of bacteria and host to interact with each other in a bi-directional manner ultimately influencing host physiology ranging from susceptibility to infectious disease to behavior. In the latter case of behavior, such interactions which involve both gut and brain occur through what has become known as the microbiota–gut–brain (MGB) axis (Lyte and Cryan, Reference Lyte and Cryan2014).

It should be recognized at the outset that neurochemicals are widely dispersed throughout nature. Neurobiological concepts, such as those involving stress, are often perceived to be mainly relevant to animals. Stress, as experienced by plants, is of course well-recognized. However, how many porcine physiologists would be aware that in response to stress many plants make the exact same stress-related neurochemicals, namely the catecholamines norepinephrine and epinephrine, that pigs make (Kulma and Szopa, Reference Kulma and Szopa2007)? In fact, plant-based processes from pollen germination to the stimulation of flowering utilizes neurochemistry (Roshchina, Reference Roshchina2001). Further, catecholamines have also been shown in insects (Pitman, Reference Pitman1971) and fish (Guerrero et al., Reference Guerrero, Caceres, Paiva and Marcano1990).

More surprising, however, is that bacteria have been recognized for decades to be capable of producing quantities of neurochemicals that could affect host physiology. For example, the production of histamine by starter bacterial cultures used in the production of fermented meats such as sausages is a well-known food safety-related issue that has to be monitored during the production process (Restuccia et al., Reference Restuccia, Spizzirri, Puoci, Parisi, Curcio and Picci2015). Indeed, the ability of bacteria that are often used as probiotics to produce acetylcholine goes back decades (Stephenson et al., Reference Stephenson, Rowatt and Harrison1947). The range of neurochemicals and neurohormones isolated from microorganisms is extensive and additionally have been demonstrated to show biological activity in mammalian cells. These include serotonin (Sridharan et al., Reference Sridharan, Choi, Klemashevich, Wu, Prabakaran, Pan, Steinmeyer, Mueller, Yousofshahi, Alaniz, Lee and Jayaraman2014); catecholamines, such as norepinephrine and dopamine (Asano et al., Reference Asano, Hiramoto, Nishino, Aiba, Kimura, Yoshihara, Koga and Sudo2012) (Tsavkelova et al., Reference Tsavkelova, Botvinko, Kudrin and Oleskin2000; Malikina et al., Reference Malikina, Shishov, Chuvelev, Kudrin and Oleskin2010); progesterone (Schar et al., 1986); somatostatin (LeRoith et al., Reference LeRoith, Pickens, Vinik and Shiloach1985); and even the primary inhibitor neurotransmitter in the brain, γ amino butyric acid (GABA) (Barrett et al., Reference Barrett, Ross, O’Toole, Fitzgerald and Stanton2012). For a more complete discussion of the ubiquitous presence of neurochemicals throughout the various biological kingdoms see the comprehensive review (Roshchina, Reference Roshchina2016).

Thus, it is increasingly being recognized that neurochemicals produced from both host and microbes represent a common language for communication enables the design of experiments to rigorously test mechanistic pathways of host–microbe communication. Further, it is critical to understand that the neurochemicals produced by both host and microbes, such as the biogenic amines, are exactly the same in structure as those that are constitutively produced by pigs’ own neurophysiological system.

Given that both host and microbiota possess many of the same neurochemicals as well as the receptors with which to recognize them (Lyte and Brown, Reference Lyte and Brown2018), host health and microbe viability are therefore mutually affected by the evolutionary-based, bi-directional, neurochemical language which unites the two. This evolutionary bridge also provides for one of the mechanisms (and certainly not the only one) which composes the ability of the microbiota to influence host behavior through the MGB axis. It should be noted that the reader should expressly not draw the conclusion that microbial endocrinology is being proposed as the central inter-kingdom language of host–microbe dialogue. Multiple mechanistic pathways that are beyond the scope of this review, such as those involving immune-based mechanisms, are also critically involved in host–microbe interactions such as the MGB axis which has been shown to influence behavior (Lyte and Cryan, Reference Lyte and Cryan2014).

At every stage of swine production microorganisms influence swine health. Hindgut microbiome viability is affected by swine nutrition, and microbial metabolites are influential of swine health. Incidence of gastrointestinal and respiratory infections as well as other diseases caused by pathogenic and opportunistic pathogenic microorganisms can be initiated by swine host stress. In 1930, growth of Clostridium perfringens, a human and pig pathogen, was perhaps the first microorganism to be reported to be affected by the host-derived catecholamine epinephrine. Since that time, there have been several clinical and literature reports of the effect of host neuroendocrine molecules on disease pathogenesis (Lyte, Reference Lyte2016a). Multiple reports in swine have likewise shown neurochemicals, including catecholamines, to strongly influence swine-specific pathogen growth and infectious processes in vivo, ex vivo and in vitro. Microbial metabolites, such as short-chain fatty acids (SCFA) from swine microbiota fermentation of dietary sources have the potential to affect stress physiology systems such as the hypothalamic–pituitary–adrenal (HPA) axis.

The pathways by which neuroendocrine molecules signal microorganisms to influence viability are diverse. For example, dopaminergic antagonists have been shown to prevent catecholamine-induced growth in Escherichia coli O157:H7, Salmonella enterica and Yersinia enterocolitica (Lyte, Reference Lyte2016a). Recently, it was demonstrated that probiotic strains of Lactobacillus spp. express transporter-systems which uptake environmental norepinephrine and serotonin (Lyte and Brown, Reference Lyte and Brown2018), further elucidating the mechanisms by which host-derived neurochemicals are able to signal responses by microorganisms. Lactobacillus spp. are commonly employed as probiotics in swine production (Valeriano et al., Reference Valeriano, Balolong and Kang2017), thereby warranting a microbial endocrinological approach to improve efficacy of these treatments in swine and tease apart the underlying mechanisms. Distinct actions of different catecholamines on swine pathogens can effect robust changes in microbial genetic expression and alter the conditions under which pathogens can survive. Norepinephrine and epinephrine induce 158 and 105 genes, respectively, of which only 18 are common to both catecholamines, in the porcine respiratory pathogen Actinobacillus pleuropneumoniae (Li et al., Reference Li, Xu, Zhou, Sun, Liu, Chen and Zhou2012). Norepinephrine can change Campylobacter jejuni, a foodborne pathogen, from a microaerotolerant to an aerotolerant organism (Bowdre et al., Reference Bowdre, Krieg, Hoffman and Smibert1976). As stress is an everyday factor for swine from birth until slaughter, so is the constant bi-directional communication between swine host and microbiota. Microbial endocrinology will continue to prove important in the development of novel strategies in the improvement of swine health.

Microbial endocrinology-based mechanisms in infectious disease

Housing methodology

Housing methodology and animal handling are strong determinants of stress and therefore can profoundly affect swine health and meat quality. Through the lens of microbial endocrinology, stress physiology pathways represent avenues of bi-directional communication between the swine host and the animal’s microbiome. As host stress results in the production of a trove of neuroendocrine-immune changes that can drive functional change in the microbiome, including opportunistic pathogens and transient microorganisms, to impact host health, it is important to understand how in the pig host–microbiome crosstalk may mediate swine health following housing and handling-related stressors. It is important to note that in this section, the terms ‘indoor’ and ‘outdoor’ housing are frequently employed. As it is impossible to strictly characterize these two systems into a dichotomy of stressors as many variants of both systems exist which can drastically alter swine stress (i.e. indoor slatted barren pens v. enriched-environment; freezing/hot v. optimal outdoor conditions), general comparisons between indoor and outdoor systems are avoided as much as possible.

Environmentally acquired infections

Canonical stress pathways in the pig, including the HPA axis and sympathoadrenal-medullary (SAM) system can be activated by environmental stressors which reflect on housing conditions. The reduction of housing stress through environmental enrichment has multiple positive effects on swine welfare, including improved behavior and lowering of disease susceptibility. Such beneficial effects are likely, in part, due to host–microbe communication as the stimulation of the HPA axis and SAM leads to the production of catecholamines which, at the site of the intestinal epithelium, can drive bacterial invasion and affect host behavior. The positive effect of norepinephrine on enteric bacterial pathogenesis and growth, first mechanistically described in rodents, as well as the role of norepinephrine in mediating susceptibility of host intestinal environment to infection has been observed in swine intestinal tissue. As the swine gut is a reservoir for E. coli O157:H7, a major source of foodborne illness in humans, it is important to understand what mediates the adherence and infection of pathogenic E. coli in swine. Escherichia coli O157:H7 adherence to the mucosa of swine cecal and colonic explants increased in the presence of norepinephrine in a concentration-dependent manner (Green et al., Reference Green, Lyte, Chen, Xie, Casey, Kulkarni-Narla, Vulchanova and Brown2004). Although swine infected with E. coli O157:H7 and other Shiga toxin-producing strains do not develop disease (Booher et al., Reference Booher, Cornick and Moon2002), fecal shedding of this organism represents a route of exposure and transmission between infected and naïve animals (Cornick and Vukhac, Reference Cornick and Vukhac2008). It was separately shown that Salmonella typhimurium could be detected in the feces of naïve pigs following 2 h of exposure to a novel environment containing S. typhimurium (Hurd et al., Reference Hurd, Gailey, McKean and Rostagno2001). Interestingly, pigs orally administered norepinephrine or 6-hydroxydopamine, which causes the release of peripheral norepinephrine, resulted in increased fecal shedding of S. typhimurium and fecal load of this organism (Pullinger et al., Reference Pullinger, van Diemen, Carnell, Davies, Lyte and Stevens2010), suggesting stress hormones released into the gastrointestinal tract affect swine enteric pathogens. Temporary housing conditions, including transport and lairage are well known to elicit stress reactions in swine and to increase fecal shedding of both enteropathogenic Salmonella spp. and E. coli. Hence, sanitation of housing conditions and swine stress likely interact to mediate transmission and infection of E. coli and Salmonella spp. in the swine intestinal tract.

Indoor v. outdoor housing: unique microorganismal food safety concerns

When presented with a purchasing decision between pork labeled produced from swine raised indoor or outdoor, consumers identified the outdoor production sourced pork to be more desirable (Edwards, Reference Edwards2005). Consumer preference includes international audiences as consumer panels in multiple European countries preferred outdoor to indoor-raised labeled pork despite being unable to discriminate the flavor of these two products (Dransfield et al., Reference Dransfield, Ngapo, Nielsen, Bredahl, Sjoden, Magnusson, Campo and Nute2005). Swaying of consumer purchasing decision based on perceived animal welfare has increased viability and created opportunity for outdoor pig production systems (Park et al., Reference Park, Min and Oh2017). It is important to consider that indoor and outdoor production may expose the pig to unique microbial organisms which can result in distinct swine microbiomes (Mulder et al., Reference Mulder, Schmidt, Stokes, Lewis, Bailey, Aminov, Prosser, Gill, Pluske, Mayer, Musk and Kelly2009) which pose unique food safety concerns. Campylobacter coli and C. jejuni readily colonize the swine intestinal tract, with C. coli typically dominant in abundance to C. jejuni. Although poultry remain the primary source of C. jejuni in the incidence of human foodborne illness, there is concern that naturally occurring prevalence of C. jejuni in an outdoor environment may expose outdoor-reared pigs to this organism thereby decreasing food safety. In a study examining the detection of C. jejuni in the feces of outdoor-raised swine, 29.8% of all pigs in the study tested positive for C. jejuni, with considerable seasonal variation where 79% of pigs in the August trial were positive for C .jejuni (Jensen et al., Reference Jensen, Dalsgaard, Baggesen and Nielsen2006). Campylobacteriosis foodborne illness in people from poultry also exhibits greatest incidence in the summer season (Schielke et al., Reference Schielke, Rosner and Stark2014). This presents the consideration of outdoor stress, such as heat during the summer in affecting the swine gut environment to be more hospitable to C. jejuni. In normal pigs (Stefanovic et al., Reference Stefanovic, Bayley and Slinger1970) and those which suffer from malignant hyperthermia (Williams et al., Reference Williams, Dozier, Buzello, Gehrke, Wong and Gerhardt1985), experimental heat stress induces strong release of catecholamines, including norepinephrine. Interestingly, at concentrations as low as 1.2×10−5M, norepinephrine can convert C. jejuni from a strict microaerophilic organism to one that is aerotolerant (Bowdre et al., Reference Bowdre, Krieg, Hoffman and Smibert1976). Given that the mechanism of intestinal infection by C. jejuni involves the infiltration of intestinal epithelial cells, and that oxygen gradient increases greatly in a transverse-sense from intestinal lumen toward the epithelium, exposure of C. jejuni within the intestinal tract of a heat-stressed pig may encounter greater norepinephrine concentrations, becoming aerotolerant, which would allow it to infiltrate through the mucosa to establish infection.

Microbial endocrinology: more than just the gut

Host epithelial surfaces are sites of constant interaction with the outside world. Distinct microbial communities have been identified on epithelia, such as the lung, external to the gastrointestinal tract. Respiratory infections in swine are of significant economic concern (Maes et al., Reference Maes, Sibila, Kuhnert, Segales, Haesebrouck and Pieters2018). Like the gastrointestinal tract, the lung contains several functionally distinct layers including an overlying mucosa, is innervated by adrenergic and noradrenergic nerve fibers, and due to its function in gas exchange, is supplied with both oxygenated and de-oxygenated blood. The alveolus is the functional unit of gas exchange between the lung and blood in mammals, including the human and pig (Massaro and Massaro, Reference Massaro and Massaro2002). The alveolar space is a site of bacterial invasion where the alveolar lining fluid (e.g. mucosa) overlies the lung epithelial cells. Intraalveolar catecholamine concentrations determined in the human lung demonstrated the presence of norepinephrine and epinephrine (Dickson et al., Reference Dickson, Erb-Downward, Prescott, Martinez, Curtis, Lama and Huffnagle2015). Lung catecholamine concentrations were positively associated with incidence of respiratory infection. Catecholamines stimulate the growth of several swine respiratory pathogens, including A. pleuropneumoniae (Li et al., Reference Li, Xu, Zhou, Sun, Liu, Chen and Zhou2012), Mycoplasma hyponeumoniae (Oneal et al., Reference Oneal, Schafer, Madsen and Minion2008), Bordetella bronchisepta (Anderson and Armstrong, Reference Anderson and Armstrong2006) and Pseudomonas aeruginosa (Hegde et al., Reference Hegde, Wood and Jayaraman2009). Indeed, environmental enrichment, a factor which can reduce swine stress, can lessen swine susceptibility and improve clinical outcome (van Dixhoorn et al., Reference van Dixhoorn, Reimert, Middelkoop, Bolhuis, Wisselink, Groot Koerkamp, Kemp and Stockhofe-Zurwieden2016) to respiratory infectious agents. This would indicate that swine producers should apply the framework of microbial endocrinology to diverse sites of host–microbe interactions, not just in the porcine gut.

Microbial endocrinology-based mechanisms of bi-directional brain-to-gut communication

The intimate association between the host central nervous system (CNS), which is composed of the brain and spinal cord, and the enteric nervous system (ENS), enables rapid changes in the neuroendocrine environment of the gut in response to stressors which originate outside of the gastrointestinal tract. It is not well appreciated that the ENS represents a division of the nervous system that is composed of over 500 million neurons innervating the entire length of the alimentary canal (Furness et al., Reference Furness, Callaghan, Rivera and Cho2014). Further, elements of the ENS project directly to the tips of the intestinal villi providing a means by which sensing of the external environment, namely the lumen, is communicated to the CNS (Green et al., Reference Green, Lyte, Kulkarni-Narla and Brown2003; Powley et al., Reference Powley, Spaulding and Haglof2011). The longest nerve in the body, the vagus, provides one of the means by which the ENS maintains constant communication with the CNS. The role of the ENS as a sensory organ that plays a critical role in maintaining health has been amply demonstrated (for review, see Furness et al., Reference Furness, Rivera, Cho, Bravo and Callaghan2013).

It can therefore be hypothesized that a shared evolutionary-based language between microbe and host would also potentially involve elements of the host’s nervous system and by extension host behavior which is under the control of the neuronal elements including those coming from the gut. Such interaction of microbiota with host gut and brain neurophysiology (Goyal et al., Reference Goyal, Venkatesh, Milbrandt, Gordon and Raichle2015) would have implications extending from brain development to the behavior of adult animals including those in farm production settings.

The gut epithelium contains diverse chemosensory pathways that detect neuroactive molecules found in the lumen, including bacterial metabolites, and enable bi-directional communication between host and microbiota (Breer et al., Reference Breer, Eberle, Frick, Haid and Widmayer2012). Interaction between the gut and brain, an area of study which has received significant attention, is relevant in mediating changes in mental health by enteric pathologies (Lyte, Reference Lyte2013b). The inclusion and recognition that microorganisms interact with elements of the ENS and thereby contribute to the information that is received by the brain concerning the physiological state of the gut has led to the use of the term the MGB axis. However, it should not be supposed that the recognition that the gut microbiota could impact host behavior is a relatively new field of study. In fact, the recognition of a role for the gut microbiota in behavior is very old (Bested et al., Reference Bested, Logan and Selhub2013).

Intestinal fluid exchange, permeability and Yersinia enterocolitica infection

In the pig, common examples include the multifactorial environmental stressors which can cause diarrhea or predispose a pig to infection (Rhouma et al., Reference Rhouma, Fairbrother, Beaudry and Letellier2017). Central nervous system-initiated changes in the gastrointestinal tract, lung and other mucosal epithelial sites via neuroendocrine or sympathetic nervous system (SNS) and parasympathetic nervous system (PNS) pathways can likewise cause functional and compositional changes in the microbiome. Many of the advances made in the understanding of the multiple routes of brain-to-gut-to-microbiota communication were discovered in studies utilizing rodents but hold value to swine as greater understanding of such pathways in the pig may provide novel strategies in improving pig welfare and production.

Stress can alter autonomic output from the CNS to the gut generally via regulation of the SNS and PNS activation. Mammalian sympathetic preganglionic neurons originate in the thoracic–lumbar regions of the spinal cord and synapse on, among other sites, post-ganglionic neurons within the sympathetic trunk. Like in other mammals, in the pig postganglionic axons ramify in the intestinal serosa and, at the nerve terminal, synthesize a variety of neuroendocrine molecules, including the catecholamine norepinephrine (Skobowiat et al., Reference Skobowiat, Calka, Wasowicz and Majewski2010). Catecholaminergic signaling plays a critical role in the immediate response to stress, termed the ‘fight-or-flight response’ to affect gut motility as well as fluid secretion and uptake. Projection of sympathetic nerve fibers into the porcine cecal and colonic mucosa (Chen et al., Reference Chen, Lyte, Stevens, Vulchanova and Brown2006) has implications for stress-induced diarrhea in swine as norepinephrine has been shown to stimulate chloride secretion in pig colonic explants.

Relatedly, SNS and PNS pathways are likely related to the stress-induced increase in swine intestinal permeability. 90% of intestinal mucosal mast cells (IMMC), a type of leukocyte which affects intestinal permeability located in the lamina propria of the enteric mucosa, are either in direct contact or within 2 μm of a nerve fiber (Stead et al., Reference Stead, Dixon, Bramwell, Riddell and Bienenstock1989). Sympathetic activation in response to acute stress has been shown to suppress degranulation of IMMC (Befus et al., Reference Befus, Dyck, Goodacre and Bienenstock1987) but increase IMMC histamine content (Eutamene et al., Reference Eutamene, Theodorou, Fioramonti and Bueno2003), whereas parasympathetic vagal activation (Bani-Sacchi et al., Reference Bani-Sacchi, Barattini, Bianchi, Blandina, Brunelleschi, Fantozzi, Mannaioni and Masini1986) during the recovery from stress can cause IMMC release of histamine and other cell-mediators, which is associated with increased intestinal permeability (Santos et al., Reference Santos, Yang, Soderholm, Benjamin and Perdue2001). Prevention of mast cell degranulation blocked changes in piglet intestinal permeability following early weaning stress (Moeser et al., Reference Moeser, Ryan, Nighot and Blikslager2007). Perturbations in pig intestinal permeability during chronic social stress (Li et al., Reference Li, Song, Kerr and Moeser2017) may then be suggested to be related to the repeated activation and degranulation of IMMC.

Together, the stress-induced cycle of sympathetic and parasympathetic activation which can cause norepinephrine spillover into the gut and histamine release via mast cell degranulation may be suggested to influence Y. enterocolitica infection in a brain-to-gut-to-microbiota microbial endocrinological mechanism. Yersinia enterocolitica contamination of swine is a major food safety concern (Virtanen et al., Reference Virtanen, Salonen, Laukkanen-Ninios, Fredriksson-Ahomaa and Korkeala2012) and may occur in the period before slaughter (Fredriksson-Ahomaa et al., Reference Fredriksson-Ahomaa, Korte and Korkeala2000) which can include stresses of transport and social re-grouping. Norepinephrine can cause the growth of Y. enterocolitica (Lyte, Reference Lyte2016a), and this organism can induce host transcription of histidine decarboxylase (Handley et al., Reference Handley, Dube and Miller2006), which synthesizes histamine from l-histidine. Histamine activation of histamine-2 (H2) receptor is associated with increased survival in response to Y. enterocolitica infection in mice (Handley et al., Reference Handley, Dube and Miller2006). The interplay between norepinephrine and histamine production in the gut and its relation to Y. enterocolitica infection is therefore likely complex, the exploration of which may prove important in managing infection in swine.

Neuroendocrine-immune brain-to-gut-to-microbiota communication

Regional variation of the porcine gastrointestinal tract can point to region-dependent mechanisms by which CNS-stress signals changes in the gut which alter the behavior of enteric pathogens. Porcine gut-associated lymphoid tissue in the small intestine is likewise innervated by sympathetic varicosities which synthesize catecholamines (Kulkarni-Narla et al., Reference Kulkarni-Narla, Beitz and Brown1999). Microfold (M)-cells within jejunal and ileal Peyer’s patches sample gut intraluminal content and are exploited as sites of invasion by enteric pathogens such as Salmonella spp. Norepinephrine was demonstrated to increase internalization of S. enterica serovar Choleraesuis in porcine jejunal Peyer’s patches ex vivo (Green et al., Reference Green, Lyte, Kulkarni-Narla and Brown2003). This microbial endocrinological effect may be dependent on the bacterial strain as invasion of porcine Peyer’s patches in jejunal explants by multi-drug resistant S. enterica serovar Typhimurium DT104 was not significantly affected by norepinephrine (Brown and Price, Reference Brown and Price2008). Pathogen exposure to norepinephrine before host contact can also determine catecholamine-induced changes in infectivity. As swine feces contains norepinephrine, pathogen-contaminated norepinephrine-rich feces from stressed pigs may expose naïve pigs to a more virulent pathogen. In a series of experiments where pigs were nasally inoculated with S. enterica serovar Typhimurium χ4232 grown in media with or without norepinephrine, compared to the pathogen grown without norepinephrine the pathogen grown with norepinephrine was found in greater concentration in ileocecal lymph nodes, colon, cecal contents and the cecum in vivo 24 h post-infection (Toscano et al., Reference Toscano, Stabel, Bearson, Bearson and Lay2007). In this same study, norepinephrine was also found to increase pathogen survival in the swine stomach environment ex vivo.

Catecholamines synthesized outside of the gastrointestinal tract in response to stress can also reach the gut lumen via bloodstream (Marra et al., Reference Marra, Burnett and Hoffman-Goetz2005) flow into capillaries within the gut wall. Indeed, epinephrine and norepinephrine effect distinct responses in enteric pathogen motility, growth and other genes important in the colonization and invasion of the host intestinal epithelium (Bearson, Reference Bearson2016). Norepinephrine in the gut may effect different immune-related changes in the intestinal mucosa which impact on the microbiota depending on whether the catecholamine is a product of neuronal stimulation or derived from an extra-gastrointestinal site, such as the adrenal medulla. Electrical stimulation of nerves in ex vivo porcine ileal tissue resulted in decreased luminal secretion of secretory immunoglobulin A (sIgA) (Schmidt et al., Reference Schmidt, Eriksen, Loftager, Rasmussen and Holst1999). Conversely, contraluminal application of norepinephrine in Ussing chamber-mounted porcine intestinal tissue stimulated the luminally directed secretion of sIgA (Schmidt et al., Reference Schmidt, Xie, Lyte, Vulchanova and Brown2007). Epithelial cell release of sIgA is important in modulating the mucosal microbial population and in the prevention of pathogen migration through the mucosa.

Microbial endocrinology-based mechanisms in behavior

Infection and behavior

Although pigs can serve as reservoirs of E. coli, this microorganism does not always cause overt signs of intestinal or systemic disease following challenge by certain pathogenic E. coli (Booher et al., 2002). As such, it is interesting to speculate that the clinical demonstration of illness is not required in order to modulate pig behavior via a gut-to-brain mechanism even at the initial stages of infection. As adherence of E. coli to the swine intestinal mucosal epithelium represents the first stage of infection, in rodents it was shown that within 7 h following exposure to Citrobacter rodentium, a rodent colonic pathogen, mice developed anxiety-like behavior via vagal afferent signaling along the MGB axis (Lyte et al., Reference Lyte, Li, Opitz, Gaykema and Goehler2006). Likewise, behavior of pigs infected with S. enterica differed from non-infected pigs despite the absence of clinical symptoms of disease (Rostagno et al., Reference Rostagno, Eicher and Lay2011). As S. enterica serovars typhimurium and enteritidis can cause clinical disease in swine (Kim and Isaacson, Reference Kim and Isaacson2017), and to negatively affect swine behaviors including animal movement and feed intake (Ahmed, Reference Ahmed, Mun, Yoe and Yang2015), a microbial endocrinological framework may identify novel gut-to-brain pathways of sub-clinical and symptomatic infections. Together, these results suggest that a reduction in swine stress may inhibit not only intestinal adherence and infiltration by enteric pathogens encountered in housing environments, but also neurocentric effects on the pig itself, such as alterations in behavior which can impair animal weight gain.

A role for microbial endocrinology in swine stress during early life

As pigs raised in indoor or outdoor environments have distinct gut microbiota compositions (Mulder et al., Reference Mulder, Schmidt, Stokes, Lewis, Bailey, Aminov, Prosser, Gill, Pluske, Mayer, Musk and Kelly2009), rearing in an outdoor piggery may expose piglets to a unique set of factors, including distinct microbial organisms. Examination of the infection process and colonization dynamics of C. jejuni in the early life piglet intestinal tract revealed that C. jejuni genes encoding for motility and chemotaxis were critical for successful infection (de Vries et al., Reference de Vries, Linn, Macleod, MacCallum, Hardy, Douce, Watson, Dagleish, Thompson, Stevenson, Kennedy, Baig, Coward, Maskell, Smith, Grant and Everest2017). Interestingly, epinephrine and norepinephrine have been shown to positively affect expression of chemotactic genes in several Gram-negative bacteria (Lyte and Ernst, Reference Lyte and Ernst1992 and Reference Lyte and Ernst1993), including C. jejuni (Xu et al., Reference Xu, Wu, Guo, Cui, Zeng, Yang and Lin2015). Early life, typically classified as the pre-weaning stage, is widely appreciated to be a critical window wherein the developing neuroendocrinological-immune systems which regulate stress, including the HPA axis are highly plastic and dramatically affected by the gut environment. As the gastrointestinal tract is a continuation of the external environment, the quality of indoor and outdoor swine production systems likely have the potential to uniquely determine the developmental trajectory of stress resilience in the piglet and at later life stages in the pig. Indeed, plasma cortisol concentrations at baseline and following ear-piercing stress of piglets raised in an indoor piggery were greater than piglets raised in an outdoor space at 4 weeks/age (Yonezawa et al., Reference Yonezawa, Takahashi, Imai, Okitsu, Komiyama, Irimajiri, Matsuura, Yamazaki and Hodate2012). Moreover, piglets born in indoor standard farrowing crates displayed characteristics of chronic social stress in adulthood whereas these negative effects were absent in piglets born in an enriched environment (De Jonge et al., Reference De Jonge, Bokkers, Schouten and Helmond1996). Acute social stress in indoor-raised piglets causes an increase in norepinephrine (Bacou et al., Reference Bacou, Haurogne, Mignot, Allard, De Beaurepaire, Marchand, Terenina, Billon, Jacques, Bach, Mormede, Herve and Lieubeau2017), however, in the construction of this review no study was identified investigating acute stress-induced norepinephrine in outdoor-raised piglets. Germ-free rodents (i.e. rodents born in sterile conditions and completely lacking a microbiota) display exaggerated HPA axis response, including corticosterone, the rodent analog to cortisol, in response to acute stress (Sudo et al., Reference Sudo, Chida, Aiba, Sonoda, Oyama, Yu, Kubo and Koga2004). Exposure to a non-sterile environment during early life partly corrected the abnormal stress response, indicating early life as a time-sensitive window in which the gut microbiome strongly influences host stress physiology well into later life. It would be therefore of interest to examine whether piglet catecholaminergic response to stress is altered by indoor or outdoor rearing environment, and whether this affects susceptibility to intestinal infection by potential foodborne pathogens such as C. jejuni.

Relatedly, Yonezawa et al. reported that once outdoor-raised piglets reached 6 months/age, they were harvested and, in a taste panel, the meat of the outdoor-raised pigs was preferred (Yonezawa et al., Reference Yonezawa, Takahashi, Imai, Okitsu, Komiyama, Irimajiri, Matsuura, Yamazaki and Hodate2012). Although the authors did not attempt to demonstrate causation or correlation between early life stress response and meat quality, biochemical measures of pre-slaughter stress, including cortisol have been repeatedly shown to affect muscle chemistry and pork quality (Dokmanovic et al., Reference Dokmanovic, Baltic, Duric, Ivanovic, Popovic, Todorovic, Markovic and Pantic2015). As such, it would be interesting to evaluate how early life stress management via the piglet microbiome attained in an outdoor housing system may affect the development of stress resilience potentially beneficial toward meat quality.

Social aspects of housing

Housing is strongly modulatory of social stress as decrease in space allowance per pig has been associated with increased aggressive behavior, skin injuries and cortisol (Hemsworth et al., Reference Hemsworth, Rice, Nash, Giri, Butler, Tilbrook and Morrison2013). Moreover, the stress of mixing unfamiliar pigs which can cause re-structuring of hierarchal dominance/subordinance, can be reduced if increased floor space is given right after re-grouping (Hemsworth et al., Reference Hemsworth, Morrison, Tilbrook, Butler, Rice and Moeller2016). Swine intestinal transepithelial fluid transport is altered by chronic social stress as well as stress catecholamines. Pigs subjected to chronic social stress by re-grouping and reductions in pen floor space were shown to have increased ileal and colonic permeability (Li et al., Reference Li, Song, Kerr and Moeser2017). Norepinephrine, which increases following social stress (Koopmans et al., Reference Koopmans, Ruis, Dekker, van Diepen, Korte and Mroz2005), differentially affects transepithelial ion exchange in the porcine small intestine and colon. In pig intestinal explants, chloride absorption in the small intestine increased via norepinephrine binding to enteric submucosal neuronal α-2-adrenergic receptors, whereas binding to α-1 adrenergic receptors in the colonic epithelium causes chloride secretion (Brown and O’Grady, Reference Brown and O’Grady1997). Together these actions have been hypothesized to affect the composition and thickness of the small and large intestinal mucosae (Lyte et al., Reference Lyte, Villageliu, Crooker and Brown2018). Alterations to the integrity of the intestinal mucosa may affect enteric pathogen infection as the mucosal layer is an important barrier which inhibits migration of pathogens from lumen toward epithelial cells. As social stress has been shown to increase fecal shedding of Salmonella spp. in piglets (Callaway et al., Reference Callaway, Morrow, Edrington, Genovese, Dowd, Carroll, Dailey, Harvey, Poole, Anderson and Nisbet2006), it is necessary to understand how social dynamics at different stages of life alter the intestinal neuroendocrine environment to affect host-pathogen interaction.

Microbial endocrinology-based mechanisms in nutrition

Environmental enrichment as a microbial mediator of host stress and neuroendocrine pathways

Aggression in pigs is of economic concern as social conflict can cause chronic stress, injury and reduced growth. Substrates used in swine indoor-environmental enrichment include consumable products such as straw which serve as fermentable substrates into SCFA by hindgut bacteria. Straw as environmental enrichment has been reported to lessen (Lyons, Reference Lyons, Bruce, Fowler and English1995), have no effect (Arey, Reference Arey DSaF1995) and even increase aggression in pigs (Morgan, Reference Morgan, Deans, Lawrence and Nielsen1998). Within indoor-production systems pens with a slatted floor or those with straw bedding as an environmental enrichment differentially altered the gut microbiota composition of sows (Kubasova et al., Reference Kubasova, Davidova-Gerzova, Merlot, Medvecky, Polansky, Gardan-Salmon, Quesnel and Rychlik2017), an outcome which the authors suggested was due to sow ingestion of straw. Butyrate, a microbial SCFA, has been shown affect host stress catecholamine pathways, including tyrosine hydroxylase which is the rate-limiting enzyme in the synthesis of dopamine, norepinephrine and epinephrine (DeCastro et al., Reference DeCastro, Nankova, Shah, Patel, Mally, Mishra and La Gamma2005) and at high concentrations initiate a host HPA axis stress response (Gagliano et al., Reference Gagliano, Delgado-Morales, Sanz-Garcia and Armario2014). The variable effect of straw on aggression in swine is likely due to several factors among which may exist a role for microbe–host interaction, whereby the question of whether the pig chooses to ingest straw, and the amount of straw consumed may determine an effect of microbial butyrate production on host stress. It would be interesting to understand how indoor-housing enrichment materials, such as straw, may mediate a gut-to-brain pathway of behavioral regulation in the pig. As the pig colonic epithelium expresses monocarboxylate transporter (MCT)-1 (Ritzhaupt et al., Reference Ritzhaupt, Wood, Ellis, Hosie and Shirazi-Beechey1998), which transports butyrate from the colonic lumen into circulation, it would be warranted to investigate if the pig blood brain barrier (BBB) also contains MCT-1 since endothelial cells of the rodent BBB express MCT-1 which transports butyrate from the circulation into the brain (Gerhart et al., Reference Gerhart, Enerson, Zhdankina, Leino and Drewes1997).

Microbial endocrinology and nutrition

The concept of a shared, evolutionary-based, language founded on the prevalence of common neurochemicals in the host, microbiota and foods enables a new microbial endocrinology-based perspective to be proposed by which nutrition can affect host health and behavior (see Lyte, Reference Lyte2013a review). Food contains a wealth of substrates that serve as neurochemical precursors and can be used by the gut microbiota to produce neurochemicals. For decades, it has been known that amino acids such as tyrosine are used in the biosynthesis of catecholamines and other biogenic amines, such as tyramine, which are found in foods (Rice et al., Reference Rice, Eitenmiller and Koehler1976). Fermented foods can also contain significant concentrations of microbial-produced biogenic amines which pose health hazards if consumed (Innocente and D’Agostin, Reference Innocente and D’Agostin2002). For example, ingestion of foods which have utilized microorganisms as part of the manufacturing process can contain histamine and tyramine. Consumption of microbial-produced histamine or tyramine containing foods carries the risk of anaphylactic shock (Silla Santos, Reference Silla Santos1996) and hypertensive episodes (McCabe, Reference McCabe1986), respectively. Catechols found in foods have also been shown to increase the growth of foodborne bacterial pathogens, such as E. coli, as well as the enteric pathogen S. enterica (Freestone et al., Reference Freestone, Walton, Haigh and Lyte2007). Further, changes in the neuroendocrine environment of the gastrointestinal tract can elicit changes in the microbiome as the release of catecholamines in vivo was demonstrated to cause compositional changes at the species-level of the gut microbiome (Lyte and Bailey, Reference Lyte and Bailey1997). This highlights the bi-directional nature of host–microbial interactions that are part of a microbial endocrinology-based approach. As such, there is abundant evidence that neuroendocrine molecules and their precursors consumed via diet, as well as changes in host neuroendocrine physiology, can affect the microbiome.

Nutrition-dependent effects

Alteration in nutrition can dramatically impact the composition of the microbiota (Flint et al., Reference Flint, Duncan and Louis2017). However, whether nutritional-mediated changes in taxa result in altered production of neurochemicals by the microbiota within the gut has not yet been extensively studied. The ability of neurochemicals, produced by bacteria as part of a nutrition-based process, to influence host behavior has been shown. For example, fermentation of black bean soymilk using Lactobacillus spp. produced high levels of GABA that when fed to rats was as effective as fluoxetine in alleviating depressive-like behavior in a forced swim test (Ko et al., Reference Ko, Lin and Tsai2013). As such, it can be proposed that supplementation of diets with known neurochemical substrates can lead to the increased production of neurochemicals by relevant bacterial taxa. Identifying taxa capable of producing biogenic amines and designing a diet supplemented with appropriate substrates may provide a means by which the MGB axis may be enhanced to influence cognition, ameliorating the deleterious consequences of stress on behavior and cognition. It should be noted that it is beyond the scope of this review to fully address the role of nutrition as concerns microbial endocrinology. The reader is directed to a recent review on the subject (Lyte, Reference Lyte2013a).

Microbial endocrinology-based mechanisms in society and culture

Stress and disease in swine are of universal importance for all swine producers, yet these concerns are uniquely shaped, and sometimes aggravated by the socio-cultural and economic factors which differently govern swine production in different countries. Such external influences are relevant to swine host-microbe interaction and should therefore be considered in the application of microbial endocrinology to swine production. This section is presented within the Supplementary Material S1 of this manuscript.

Conclusions and future directions

Novel approaches which address stress and disease in swine are urgently needed as the intensification of global swine production to meet increasing consumer demand must also satisfy unprecedented consumer attention to food safety and safeguard herds from known and emerging infectious agents. The application of microbial endocrinology to swine production will likely help address these concerns as the effect of stress on swine neuroendocrine-immune physiology has been repeatedly demonstrated to affect swine susceptibility to disease and modulate pathogen virulence, both which feedback to affect host welfare and behavior. Indeed, a greater understanding of the bi-directional communication between host and microbiome not just within the gut but at other sites such as the lung could foster novel treatments against swine gastrointestinal, respiratory and other site-specific pathogens. Microbial endocrinological mechanisms that affect host-pathogen interaction are also of direct relevance to consumers as reduced pre-slaughter contamination can lead to increased food safety. As several major issues facing the swine industry involve the microbiome, a microbial endocrinology-based approach to understanding relevant host–microbe interactions will help inform strategies to tackle current concerns and prevent future problems.

Supplementary material

To view supplementary material for this article, please visit https://doi.org/10.1017/S1751731119000284

Acknowledgement

None.

Declaration of interest

None.

Ethics statement

N/A.

Software and data repository resources

None of the data were deposited in an official repository.

References

Ahmed, ST, Mun, HS, Yoe, H and Yang, CJ 2015. Monitoring of behavior using a video-recording system for recognition of Salmonella infection in experimentally infected growing pigs. Animal 9, 115121.CrossRefGoogle ScholarPubMed
Anderson, MT and Armstrong, SK 2006. The Bordetella bfe system: growth and transcriptional response to siderophores, catechols, and neuroendocrine catecholamines. Journal of Bacteriology 188, 57315740.CrossRefGoogle ScholarPubMed
Arey DSaF, MF 1995. Effects of straw and unfamiliarity on fighting between newly mixed growing pigs. Applied Animal Behaviour Science 45, 2330.CrossRefGoogle Scholar
Asano, Y, Hiramoto, T, Nishino, R, Aiba, Y, Kimura, T, Yoshihara, K, Koga, Y and Sudo, N 2012. Critical role of gut microbiota in the production of biologically active, free catecholamines in the gut lumen of mice. American Journal of Physiology: Gastrointestinal and Liver Physiology 303, G12881295.Google Scholar
Bacou, E, Haurogne, K, Mignot, G, Allard, M, De Beaurepaire, L, Marchand, J, Terenina, E, Billon, Y, Jacques, J, Bach, JM, Mormede, P, Herve, J and Lieubeau, B 2017. Acute social stress-induced immunomodulation in pigs high and low responders to ACTH. Physiology and Behavior 169, 18.CrossRefGoogle Scholar
Bani-Sacchi, T, Barattini, M, Bianchi, S, Blandina, P, Brunelleschi, S, Fantozzi, R, Mannaioni, PF and Masini, E 1986. The release of histamine by parasympathetic stimulation in guinea-pig auricle and rat ileum. Journal of Physiology 371, 2943.10.1113/jphysiol.1986.sp015960CrossRefGoogle ScholarPubMed
Barrett, E, Ross, RP, O’Toole, PW, Fitzgerald, GF and Stanton, C 2012. Gamma-aminobutyric acid production by culturable bacteria from the human intestine. Journal of Applied Microbiology 113, 411417.CrossRefGoogle ScholarPubMed
Bearson, BL 2016. Molecular profiling: catecholamine modulation of gene expression in Escherichia coli O157:H7 and Salmonella enterica Serovar Typhimurium. Advances in Experimental Medicine and Biology 874, 167182.CrossRefGoogle ScholarPubMed
Befus, AD, Dyck, N, Goodacre, R and Bienenstock, J 1987. Mast cells from the human intestinal lamina propria. Isolation, histochemical subtypes, and functional characterization. Journal of Immunology 138, 26042610.Google ScholarPubMed
Bested, AC, Logan, AC and Selhub, EM 2013. Intestinal microbiota, probiotics and mental health: from Metchnikoff to modern advances: part II - contemporary contextual research. Gut Pathogens 5, 3.10.1186/1757-4749-5-3CrossRefGoogle ScholarPubMed
Booher, SL, Cornick, NA and Moon, HW 2002. Persistence of Escherichia coli O157:H7 in experimentally infected swine. Veterinary Microbiology 89, 6981.10.1016/S0378-1135(02)00176-1CrossRefGoogle ScholarPubMed
Bowdre, JH, Krieg, NR, Hoffman, PS and Smibert, RM 1976. Stimulatory effect of dihydroxyphenyl compounds on the aerotolerance of Spirillum volutans and Campylobacter fetus subspecies jejuni. Applied and Environmental Microbiology 31, 127133.Google ScholarPubMed
Breer, H, Eberle, J, Frick, C, Haid, D and Widmayer, P 2012. Gastrointestinal chemosensation: chemosensory cells in the alimentary tract. Histochemistry and Cell Biology 138, 1324.10.1007/s00418-012-0954-zCrossRefGoogle ScholarPubMed
Brown, DR and O’Grady, SM 1997. Regulation of ion transport in the porcine intestinal tract by enteric neurotransmitters and hormones. Comparative Biochemistry and Physiology. Part A: Physiology 118, 309317.10.1016/S0300-9629(96)00311-8CrossRefGoogle ScholarPubMed
Brown, DR and Price, LD 2008. Catecholamines and sympathomimetic drugs decrease early Salmonella typhimurium uptake into porcine Peyer’s patches. FEMS Immunology and Medical Microbiology 52, 2935.10.1111/j.1574-695X.2007.00348.xCrossRefGoogle ScholarPubMed
Callaway, TR, Morrow, JL, Edrington, TS, Genovese, KJ, Dowd, S, Carroll, J, Dailey, JW, Harvey, RB, Poole, TL, Anderson, RC and Nisbet, DJ 2006. Social stress increases fecal shedding of Salmonella typhimurium by early weaned piglets. Current Issues in Intestinal Microbiology 7, 6571.Google ScholarPubMed
Chen, C, Lyte, M, Stevens, MP, Vulchanova, L and Brown, DR 2006. Mucosally-directed adrenergic nerves and sympathomimetic drugs enhance non-intimate adherence of Escherichia coli O157:H7 to porcine cecum and colon. European Journal of Pharmacology 539, 116124.CrossRefGoogle ScholarPubMed
Cornick, NA and Vukhac, H 2008. Indirect transmission of Escherichia coli O157:H7 occurs readily among swine but not among sheep. Applied and Environmental Microbiology 74, 24882491.CrossRefGoogle Scholar
DeCastro, M, Nankova, BB, Shah, P, Patel, P, Mally, PV, Mishra, R and La Gamma, EF 2005. Short chain fatty acids regulate tyrosine hydroxylase gene expression through a cAMP-dependent signaling pathway. Brain Research: Molecular Brain Research 142, 2838.Google ScholarPubMed
De Jonge, FH, Bokkers, EA, Schouten, WG and Helmond, FA 1996. Rearing piglets in a poor environment: developmental aspects of social stress in pigs. Physiology and Behavior 60, 389396.10.1016/S0031-9384(96)80009-6CrossRefGoogle Scholar
de Vries, SP, Linn, A, Macleod, K, MacCallum, A, Hardy, SP, Douce, G, Watson, E, Dagleish, MP, Thompson, H, Stevenson, A, Kennedy, D, Baig, A, Coward, C, Maskell, DJ, Smith, DG, Grant, AJ and Everest, P 2017. Analysis of Campylobacter jejuni infection in the gnotobiotic piglet and genome-wide identification of bacterial factors required for infection. Scientific Reports 7, 44283.CrossRefGoogle ScholarPubMed
Dickson, RP, Erb-Downward, JR, Prescott, HC, Martinez, FJ, Curtis, JL, Lama, VN and Huffnagle, GB 2015. Intraalveolar catecholamines and the human lung microbiome. American Journal of Respiratory and Critical Care Medicine 192, 257259.10.1164/rccm.201502-0326LECrossRefGoogle ScholarPubMed
Dokmanovic, M, Baltic, MZ, Duric, J, Ivanovic, J, Popovic, L, Todorovic, M, Markovic, R and Pantic, S 2015. Correlations among stress parameters, meat and carcass quality parameters in pigs. Asian-Australasian Journal of Animal Sciences 28, 435441.CrossRefGoogle ScholarPubMed
Dransfield, E, Ngapo, TM, Nielsen, NA, Bredahl, L, Sjoden, PO, Magnusson, M, Campo, MM and Nute, GR 2005. Consumer choice and suggested price for pork as influenced by its appearance, taste and information concerning country of origin and organic pig production. Meat Science 69, 6170.CrossRefGoogle ScholarPubMed
Edwards, S 2005. Product quality attributes associated with outdoor pig production. Livestock Production Science 94, 514.CrossRefGoogle Scholar
Eutamene, H, Theodorou, V, Fioramonti, J and Bueno, L 2003. Acute stress modulates the histamine content of mast cells in the gastrointestinal tract through interleukin-1 and corticotropin-releasing factor release in rats. Journal of Physiology 553, 959966.CrossRefGoogle ScholarPubMed
Flint, HJ, Duncan, SH and Louis, P 2017. The impact of nutrition on intestinal bacterial communities. Current Opinion in Microbiology 38, 5965.CrossRefGoogle ScholarPubMed
Fredriksson-Ahomaa, M, Korte, T and Korkeala, H 2000. Contamination of carcasses, offals, and the environment with yadA-positive Yersinia enterocolitica in a pig slaughterhouse. Journal of Food Protection 63, 3135.CrossRefGoogle Scholar
Freestone, PP, Walton, NJ, Haigh, RD and Lyte, M 2007. Influence of dietary catechols on the growth of enteropathogenic bacteria. International Journal of Food Microbiology 119, 159169.10.1016/j.ijfoodmicro.2007.07.039CrossRefGoogle ScholarPubMed
Furness, JB, Callaghan, BP, Rivera, LR and Cho, HJ 2014. The enteric nervous system and gastrointestinal innervation: integrated local and central control. Advances in Experimental Medicine and Biology 817, 3971.10.1007/978-1-4939-0897-4_3CrossRefGoogle ScholarPubMed
Furness, JB, Rivera, LR, Cho, HJ, Bravo, DM and Callaghan, B 2013. The gut as a sensory organ. Nature Reviews: Gastroenterology & Hepatology 10, 729740.Google Scholar
Gagliano, H, Delgado-Morales, R, Sanz-Garcia, A and Armario, A 2014. High doses of the histone deacetylase inhibitor sodium butyrate trigger a stress-like response. Neuropharmacology 79, 7582.CrossRefGoogle ScholarPubMed
Gerhart, DZ, Enerson, BE, Zhdankina, OY, Leino, RL and Drewes, LR 1997. Expression of monocarboxylate transporter MCT1 by brain endothelium and glia in adult and suckling rats. American Journal of Physiology 273, E207213.Google ScholarPubMed
Goyal, MS, Venkatesh, S, Milbrandt, J, Gordon, JI and Raichle, ME 2015. Feeding the brain and nurturing the mind: linking nutrition and the gut microbiota to brain development. Proceedings of the National Academy of Sciences of the United States of America 112, 1410514112.10.1073/pnas.1511465112CrossRefGoogle ScholarPubMed
Green, BT, Lyte, M, Chen, C, Xie, Y, Casey, MA, Kulkarni-Narla, A, Vulchanova, L and Brown, DR 2004. Adrenergic modulation of Escherichia coli O157:H7 adherence to the colonic mucosa. American Journal of Physiology-Gastrointestinal and Liver Physiology 287, G12381246.CrossRefGoogle ScholarPubMed
Green, BT, Lyte, M, Kulkarni-Narla, A and Brown, DR 2003. Neuromodulation of enteropathogen internalization in Peyer’s patches from porcine jejunum. Journal of Neuroimmunology 141, 7482.10.1016/S0165-5728(03)00225-XCrossRefGoogle ScholarPubMed
Guerrero, HY, Caceres, G, Paiva, CL and Marcano, D 1990. Hypothalamic and telencephalic catecholamine content in the brain of the teleost fish, Pygocentrus notatus, during the annual reproductive cycle. General and Comparative Endocrinology 80, 257263.CrossRefGoogle ScholarPubMed
Handley, SA, Dube, PH and Miller, VL 2006. Histamine signaling through the H(2) receptor in the Peyer’s patch is important for controlling Yersinia enterocolitica infection. Proceedings of the National Academy of Sciences of the United States of America 103, 92689273.CrossRefGoogle Scholar
Hegde, M, Wood, TK and Jayaraman, A 2009. The neuroendocrine hormone norepinephrine increases Pseudomonas aeruginosa PA14 virulence through the las quorum-sensing pathway. Applied Microbiology and Biotechnology 84, 763776.10.1007/s00253-009-2045-1CrossRefGoogle ScholarPubMed
Hemsworth, PH, Morrison, RS, Tilbrook, AJ, Butler, KL, Rice, M and Moeller, SJ 2016. Effects of varying floor space on aggressive behavior and cortisol concentrations in group-housed sows. Journal of Animal Science 94, 48094818.CrossRefGoogle ScholarPubMed
Hemsworth, PH, Rice, M, Nash, J, Giri, K, Butler, KL, Tilbrook, AJ and Morrison, RS 2013. Effects of group size and floor space allowance on grouped sows: aggression, stress, skin injuries, and reproductive performance. Journal of Animal Science 91, 49534964.10.2527/jas.2012-5807CrossRefGoogle ScholarPubMed
Hurd, HS, Gailey, JK, McKean, JD and Rostagno, MH 2001. Rapid infection in market-weight swine following exposure to a Salmonella typhimurium-contaminated environment. American Journal of Veterinary Research 62, 11941197.CrossRefGoogle ScholarPubMed
Innocente, N and D’Agostin, P 2002. Formation of biogenic amines in a typical semihard Italian cheese. Journal of Food Protection 65, 14981501.CrossRefGoogle Scholar
Iyer, LM, Aravind, L, Coon, SL, Klein, DC and Koonin, EV 2004. Evolution of cell-cell signaling in animals: did late horizontal gene transfer from bacteria have a role? Trends in Genetics 20, 292299.CrossRefGoogle ScholarPubMed
Jensen, AN, Dalsgaard, A, Baggesen, DL and Nielsen, EM 2006. The occurrence and characterization of Campylobacter jejuni and C. coli in organic pigs and their outdoor environment. Veterinary Microbiology 116, 96105.10.1016/j.vetmic.2006.03.006CrossRefGoogle Scholar
Kim, HB and Isaacson, RE 2017. Salmonella in swine: microbiota interactions. Annual Review of Animal Biosciences 5, 4363.CrossRefGoogle ScholarPubMed
Ko, CY, Lin, H-TV and Tsai, GJ 2013. Gamma-aminobutyric acid production in black soybean milk by Lactobacillus brevis FPA 3709 and the antidepressant effect of the fermented product on a forced swimming rat model. Process Biochemistry 48, 559568.CrossRefGoogle Scholar
Koopmans, SJ, Ruis, M, Dekker, R, van Diepen, H, Korte, M and Mroz, Z 2005. Surplus dietary tryptophan reduces plasma cortisol and noradrenaline concentrations and enhances recovery after social stress in pigs. Physiology and Behavior 85, 469478.CrossRefGoogle ScholarPubMed
Kubasova, T, Davidova-Gerzova, L, Merlot, E, Medvecky, M, Polansky, O, Gardan-Salmon, D, Quesnel, H and Rychlik, I 2017. Housing systems influence gut microbiota composition of sows but not of their piglets. PloS One 12, e0170051.CrossRefGoogle Scholar
Kulkarni-Narla, A, Beitz, AJ and Brown, DR 1999. Catecholaminergic, cholinergic and peptidergic innervation of gut-associated lymphoid tissue in porcine jejunum and ileum. Cell and Tissue Research 298, 275286.CrossRefGoogle ScholarPubMed
Kulma, A and Szopa, J 2007. Catecholamines are active compounds in plants. Plant Science 172, 433440.CrossRefGoogle Scholar
LeRoith, D, Pickens, W, Vinik, AI and Shiloach, J 1985. Bacillus subtilis contains multiple forms of somatostatin-like material. Biochemical and Biophysical Research Communications 127, 713719.CrossRefGoogle ScholarPubMed
Li, L, Xu, Z, Zhou, Y, Sun, L, Liu, Z, Chen, H and Zhou, R 2012. Global effects of catecholamines on Actinobacillus pleuropneumoniae gene expression. PloS One 7, e31121.CrossRefGoogle ScholarPubMed
Li, Y, Song, Z, Kerr, KA and Moeser, AJ 2017. Chronic social stress in pigs impairs intestinal barrier and nutrient transporter function, and alters neuro-immune mediator and receptor expression. PloS One 12, e0171617.CrossRefGoogle ScholarPubMed
Lyons, CAP, Bruce, JM, Fowler, VR and English, PR 1995. A comparison of productivity and welfare of growing pigs in four intensive systems. Livestock Production Science 43, 265274.CrossRefGoogle Scholar
Lyte, M 2013a. Microbial endocrinology and nutrition: a perspective on new mechanisms by which diet can influence gut-to-brain communication. PharmaNutrition 1, 3539.CrossRefGoogle Scholar
Lyte, M 2013b. Microbial endocrinology in the microbiome-gut-brain axis: how bacterial production and utilization of neurochemicals influence behavior. PLoS Pathogens 9, e1003726.CrossRefGoogle ScholarPubMed
Lyte, M 2014. Microbial endocrinology: host-microbiota neuroendocrine interactions influencing brain and behavior. Gut Microbes 5, 381389.CrossRefGoogle ScholarPubMed
Lyte, M 2016a. Microbial endocrinology in the pathogenesis of infectious disease. Microbiology Spectrum 4.Google Scholar
Lyte, M 2016b. Microbial endocrinology: an ongoing personal journey. Advances in Experimental Medicine and Biology 874, 124.CrossRefGoogle ScholarPubMed
Lyte, M and Bailey, MT 1997. Neuroendocrine-bacterial interactions in a neurotoxin-induced model of trauma. Journal of Surgical Research 70, 195201.CrossRefGoogle Scholar
Lyte, M and Brown, DR 2018. Evidence for PMAT- and OCT-like biogenic amine transporters in a probiotic strain of Lactobacillus: implications for interkingdom communication within the microbiota-gut-brain axis. PloS One 13, e0191037.CrossRefGoogle Scholar
Lyte, M and Cryan, JF 2014. Microbial endocrinology : the microbiota-gut-brain axis in health and disease. Springer, New York, NY, USA.10.1007/978-1-4939-0897-4CrossRefGoogle Scholar
Lyte, M and Ernst, S 1992. Catecholamine induced growth of gram negative bacteria. Life Sciences 50, 203212.CrossRefGoogle ScholarPubMed
Lyte, M and Ernst, S 1993. Alpha and beta adrenergic receptor involvement in catecholamine-induced growth of gram-negative bacteria. Biochemical and Biophysical Research Communications 190, 447452.CrossRefGoogle ScholarPubMed
Lyte, M, Li, W, Opitz, N, Gaykema, RP and Goehler, LE 2006. Induction of anxiety-like behavior in mice during the initial stages of infection with the agent of murine colonic hyperplasia Citrobacter rodentium. Physiology and Behavior 89, 350357.CrossRefGoogle ScholarPubMed
Lyte, M, Villageliu, DN, Crooker, BA and Brown, DR 2018. Symposium review: Microbial endocrinology-why the integration of microbes, epithelial cells, and neurochemical signals in the digestive tract matters to ruminant health. Journal of Dairy Science 101, 56195628.CrossRefGoogle ScholarPubMed
Maes, D, Sibila, M, Kuhnert, P, Segales, J, Haesebrouck, F and Pieters, M 2018. Update on Mycoplasma hyopneumoniae infections in pigs: knowledge gaps for improved disease control. Transboundary and Emerging Diseases 65 (suppl. 1), 110124.CrossRefGoogle ScholarPubMed
Malikina, KD, Shishov, VA, Chuvelev, DI, Kudrin, VS and Oleskin, AV 2010. Regulatory role of monoamine neurotransmitters in Saccharomyces cerevisiae cells. Prikladnaia Biokhimiia i Mikrobiologiia 46, 672677.Google ScholarPubMed
Marra, S, Burnett, M and Hoffman-Goetz, L 2005. Intravenous catecholamine administration affects mouse intestinal lymphocyte number and apoptosis. Journal of Neuroimmunology 158, 7685.CrossRefGoogle ScholarPubMed
Massaro, D and Massaro, GD 2002. Invited review: Pulmonary alveoli: formation, the ‘call for oxygen,’ and other regulators. American Journal of Physiology: Lung Cellular and Molecular Physiology 282, L345358.Google Scholar
McCabe, BJ 1986. Dietary tyramine and other pressor amines in MAOI regimens: a review. Journal of the American Dietetic Association 86, 10591064.Google ScholarPubMed
Moeser, AJ, Ryan, KA, Nighot, PK and Blikslager, AT 2007. Gastrointestinal dysfunction induced by early weaning is attenuated by delayed weaning and mast cell blockade in pigs. American Journal of Physiology: Gastrointestinal and Liver Physiology 293, G413421.Google ScholarPubMed
Morgan, CA, Deans, LA, Lawrence, AB and Nielsen, BL 1998. The effects of straw bedding on the feeding and social behaviour of growing pigs fed by means of single-space feeders. Applied Animal Behaviour Science 58, 2233.CrossRefGoogle Scholar
Mulder, IE, Schmidt, B, Stokes, CR, Lewis, M, Bailey, M, Aminov, RI, Prosser, JI, Gill, BP, Pluske, JR, Mayer, CD, Musk, CC and Kelly, D 2009. Environmentally-acquired bacteria influence microbial diversity and natural innate immune responses at gut surfaces. BMC Biology 7, 79.CrossRefGoogle ScholarPubMed
Oneal, MJ, Schafer, ER, Madsen, ML and Minion, FC 2008. Global transcriptional analysis of Mycoplasma hyopneumoniae following exposure to norepinephrine. Microbiology 154, 25812588.CrossRefGoogle ScholarPubMed
Park, HS, Min, B and Oh, SH 2017. Research trends in outdoor pig production - a review. Asian-Australasian Journal of Animal Sciences 30, 12071214.CrossRefGoogle ScholarPubMed
Pitman, RM 1971. Transmitter substances in insects: a review. Comparative and General Pharmacology 2, 347371.CrossRefGoogle ScholarPubMed
Powley, TL, Spaulding, RA and Haglof, SA 2011. Vagal afferent innervation of the proximal gastrointestinal tract mucosa: chemoreceptor and mechanoreceptor architecture. Journal of Comparative Neurology 519, 644660.CrossRefGoogle ScholarPubMed
Pullinger, GD, van Diemen, PM, Carnell, SC, Davies, H, Lyte, M and Stevens, MP 2010. 6-hydroxydopamine-mediated release of norepinephrine increases faecal excretion of Salmonella enterica serovar Typhimurium in pigs. Veterinary Research 41, 68.CrossRefGoogle ScholarPubMed
Restuccia, D, Spizzirri, UG, Puoci, F, Parisi, OI, Curcio, M and Picci, N 2015. Accumulation of biogenic amines in foods: hazard identification and control options. In Microbial food safety and preservation techniques (ed. VR Rai and JA Bai), pp. 53–74. Taylor & Francis Group, Oxford, UK.CrossRefGoogle Scholar
Rhouma, M, Fairbrother, JM, Beaudry, F and Letellier, A 2017. Post weaning diarrhea in pigs: risk factors and non-colistin-based control strategies. Acta Veterinaria Scandinavica 59, 31.CrossRefGoogle ScholarPubMed
Rice, SL, Eitenmiller, RR and Koehler, PE 1976. Biologically active amines in food: a review. Journal of Milk and Food Technology 39, 353358.CrossRefGoogle Scholar
Ritzhaupt, A, Wood, IS, Ellis, A, Hosie, KB and Shirazi-Beechey, SP 1998. Identification and characterization of a monocarboxylate transporter (MCT1) in pig and human colon: its potential to transport L-lactate as well as butyrate. Journal of Physiology 513 (pt 3), 719732.CrossRefGoogle ScholarPubMed
Roshchina, VV 2001. Neurotransmitters in plant life. Science Publishers, Enfield, NH, USA.CrossRefGoogle Scholar
Roshchina, VV 2016. New trends and perspectives in the evolution of neurotransmitters in microbial, plant, and animal cells. Advances in Experimental Medicine and Biology 874, 2577.CrossRefGoogle ScholarPubMed
Rostagno, MH, Eicher, SD and Lay, DC Jr. 2011. Immunological, physiological, and behavioral effects of Salmonella enterica carriage and shedding in experimentally infected finishing pigs. Foodborne Pathogens and Disease 8, 623630.CrossRefGoogle ScholarPubMed
Santos, J, Yang, PC, Soderholm, JD, Benjamin, M and Perdue, MH 2001. Role of mast cells in chronic stress induced colonic epithelial barrier dysfunction in the rat. Gut 48, 630636.CrossRefGoogle ScholarPubMed
Schar, CH, Stover, EP, Clemons, KV, Feldman, D and Stevens, DA 1986. Progesterone binding and inhibition of growth in Trichophyton mentagrophytes . Infection and Immunity 52, 763767.Google ScholarPubMed
Schielke, A, Rosner, BM and Stark, K 2014. Epidemiology of campylobacteriosis in Germany - insights from 10 years of surveillance. BMC Infectious Diseases 14, 30.CrossRefGoogle ScholarPubMed
Schmidt, LD, Xie, Y, Lyte, M, Vulchanova, L and Brown, DR 2007. Autonomic neurotransmitters modulate immunoglobulin A secretion in porcine colonic mucosa. Journal of Neuroimmunology 185, 2028.CrossRefGoogle ScholarPubMed
Schmidt, PT, Eriksen, L, Loftager, M, Rasmussen, TN and Holst, JJ 1999. Fast acting nervous regulation of immunoglobulin A secretion from isolated perfused porcine ileum. Gut 45, 679685.CrossRefGoogle ScholarPubMed
Silla Santos, MH 1996. Biogenic amines: their importance in foods. International Journal of Food Microbiology 29, 213231.CrossRefGoogle ScholarPubMed
Skobowiat, C, Calka, J, Wasowicz, K and Majewski, M 2010. Distribution pattern and chemical coding of neurons of the sympathetic chain ganglia supplying the descending colon in the pig. Acta Veterinaria Hungarica 58, 189198.CrossRefGoogle ScholarPubMed
Sridharan, GV, Choi, K, Klemashevich, C, Wu, C, Prabakaran, D, Pan, LB, Steinmeyer, S, Mueller, C, Yousofshahi, M, Alaniz, RC, Lee, K and Jayaraman, A 2014. Prediction and quantification of bioactive microbiota metabolites in the mouse gut. Nature Communications 5, 5492.CrossRefGoogle ScholarPubMed
Stead, RH, Dixon, MF, Bramwell, NH, Riddell, RH and Bienenstock, J 1989. Mast cells are closely apposed to nerves in the human gastrointestinal mucosa. Gastroenterology 97, 575585.CrossRefGoogle ScholarPubMed
Stefanovic, MP, Bayley, HS and Slinger, SJ 1970. Effect of stress on swine: heat and cold exposure and starvation on vanilmandelic acid output in the urine. Journal of Animal Science 30, 378381.CrossRefGoogle ScholarPubMed
Stephenson, M, Rowatt, E and Harrison, K 1947. The production of acetylcholine by a strain of Lactobacillus plantarum. Microbiology 1, 279298.Google ScholarPubMed
Sudo, N, Chida, Y, Aiba, Y, Sonoda, J, Oyama, N, Yu, X, Kubo, C and Koga, Y 2004. Postnatal microbial colonization programs the hypothalamic-pituitary-adrenal system for stress response in mice. Journal of Physiology 558, 263275.CrossRefGoogle ScholarPubMed
Toscano, MJ, Stabel, TJ, Bearson, SMD, Bearson, BL and Lay, DC Jr 2007. Cultivation of Salmonella enterica serovar Typhimurium in a norepinephrine-containing medium alters in vivo tissue prevalence in swine. Journal of Experimental Animal Science 43, 329338.CrossRefGoogle Scholar
Tsavkelova, EA, Botvinko, IV, Kudrin, VS and Oleskin, AV 2000. Detection of neurotransmitter amines in microorganisms with the use of high-performance liquid chromatography. Doklady Biochemistry 372, 115117.Google ScholarPubMed
Valeriano, VD, Balolong, MP and Kang, DK 2017. Probiotic roles of Lactobacillus sp. in swine: insights from gut microbiota. Journal of Applied Microbiology 122, 554567.CrossRefGoogle ScholarPubMed
van Dixhoorn, ID, Reimert, I, Middelkoop, J, Bolhuis, JE, Wisselink, HJ, Groot Koerkamp, PW, Kemp, B and Stockhofe-Zurwieden, N 2016. Enriched housing reduces disease susceptibility to co-infection with Porcine Reproductive and Respiratory Virus (PRRSV) and Actinobacillus pleuropneumoniae (A. pleuropneumoniae) in young pigs. PloS One 11, e0161832.CrossRefGoogle Scholar
Virtanen, S, Salonen, L, Laukkanen-Ninios, R, Fredriksson-Ahomaa, M and Korkeala, H 2012. Piglets are a source of pathogenic Yersinia enterocolitica on fattening-pig farms. Applied and Environmental Microbiology 78, 30003003.CrossRefGoogle ScholarPubMed
Williams, CH, Dozier, SE, Buzello, W, Gehrke, CW, Wong, JK and Gerhardt, KO 1985. Plasma levels of norepinephrine and epinephrine during malignant hyperthermia in susceptible pigs. Journal of Chromatography 344, 7180.CrossRefGoogle ScholarPubMed
Xu, F, Wu, C, Guo, F, Cui, G, Zeng, X, Yang, B and Lin, J 2015. Transcriptomic analysis of Campylobacter jejuni NCTC 11168 in response to epinephrine and norepinephrine. Frontiers in Microbiology 6, 452.10.3389/fmicb.2015.00452CrossRefGoogle ScholarPubMed
Yonezawa, T, Takahashi, A, Imai, S, Okitsu, A, Komiyama, S, Irimajiri, M, Matsuura, A, Yamazaki, A and Hodate, K 2012. Effects of outdoor housing of piglets on behavior, stress reaction and meat characteristics. Asian-Australasian Journal of Animal Sciences 25, 886894.CrossRefGoogle ScholarPubMed
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