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Engineering probiotics as living diagnostics and therapeutics for improving human health

Abstract

The gut microbiota that inhabit our gastrointestinal tract are well known to play an important role in maintaining human health in many aspects, including facilitating the digestion and absorption of nutrients, protecting against pathogens and regulating immune system. Gut microbiota dysbiosis is associated with a lot of diseases, such as inflammatory bowel disease, allergy, obesity, cardiovascular and neurodegenerative diseases and cancers. With the increasing knowledge of the microbiome, utilization of probiotic bacteria in modulating gut microbiota to prevent and treat a large number of disorders and diseases has gained much interest. In recent years, aided by the continuous development of tools and techniques, engineering probiotic microbes with desired characteristics and functionalities to benefit human health has made significant progress. In this paper, we summarize the recent advances in design and construction of probiotics as living diagnostics and therapeutics for probing and treating a series of diseases including metabolic disorders, inflammation and pathogenic bacteria infections. We also discuss the current challenges and future perspectives in expanding the application of probiotics for disease treatment and detection. We intend to provide insights and ideas for engineering of probiotics to better serve disease therapy and human health.

Background

The human gastrointestinal tract harbors complex and diverse microbes that act as a key factor in maintaining the homeostasis of the intestinal microenvironment [1]. It is estimated that approximately 1013–1014 bacterial cells from more than 1000 different species are present in gut, which form a natural ecosystem in the human body [2]. Those commensal bacteria can utilize the nutrients in the gut to produce metabolites to form a host-microbe metabolic axes [3]. Within those metabolic axes, it is able to regulate nutrient absorption, energy metabolism and various physiological processes in host [4]. Recently, study of interaction between gut flora and human host has gained much interest. More and more evidence indicated that gut microbiota plays an important role in human health and diseases [5]. On the one hand, the human gut microbiota contributes to supply essential healthy nutrients, digestion of food, reduction of inflammation and breakdown of toxins, promotes hematopoiesis and enteric nerve function, and regulates the host’s immune system [6]. On the other hand, the abnormal changes of the gut ecosystem are associated with pathological conditions such as atherosclerosis, hypertension, heart failure, chronic kidney disease, obesity, diabetes and cancer [7,8,9,10,11,12,13,14,15]. In addition, the composition of the gut microbiota in humans can indicate the disease risk or development [16, 17]. It has been reported that diet can significantly alter the gut microbiota composition, other factors including host genetics, infections, the use of antibiotics, immunosuppressive therapy and other means of treatment also contribute to the composition and effect of the gut flora [18, 19].

Probiotics are live bacterial species that are able to survive and thrive in the acidic gastric environment and provide beneficial effect on the health of the host by reestablishing or improving the gut microbiota [20]. Introduction of probiotics into the gastrointestinal tract might serve as a promising strategy to restore the balance of gut ecosystem and prevent or treat illness. It has made great progress in employment of a living product rather than a chemical to diagnose or treat diseases including diabetes, phenylketonuria, HIV and inflammatory bowel disease (IBD) [21,22,23,24]. However, there is no one-size-fits-all probiotic that works well for everyone as the gut microbiome is different in individuals. With the development of metabolic engineering and synthetic biology, engineering of probiotics opens up possibilities of designing microbes to target specific tissues and cells rather than the whole body and creation of novel probiotics with desired characteristics and functionalities. In this review, we summarize the recent advances in engineering probiotic bacteria as living diagnostics and therapeutics for probing and treating metabolic disorders, inflammation and pathogenic bacteria infections (Table 1).

Table 1 A summary of the applications for engineered probiotics

Engineering probiotics for amelioration of metabolic disorders

Enzymes play a central role in cellular metabolism and catalyze complicated biological processes to maintain life. The steady state of the metabolism depends upon multiple enzymatic reactions which can be interrupted by enzyme deficiency [25]. The missing or defective enzyme results in metabolic disorders in which toxic metabolites may accumulate or essential products may not be produced [26, 27]. Taking enzyme replacements to restore metabolism and removing toxic products or inhibiting their synthesis are promising treatments for metabolic disorders (Fig. 1). Many researches have suggested that engineered probiotics harboring specific enzymes or pathways are able to relieve metabolic disorders in organisms [28, 29].

Fig. 1
figure 1

Engineering probiotics for the treatment of metabolic disorders caused by enzyme deficiency. The lack of E2 results in the accumulation of intermediate B and the insufficient supply of intermediate C. The engineered probiotics harboring E2 and/or E3 can be used to restore metabolism and eliminate the accumulation of the intermediate B

Diabetes is a disease in which blood glucose levels in the body rise higher than normal due to the pancreas is unable to produce sufficient hormone insulin. This can result in a variety of complications such as cardiovascular and Alzheimer’s diseases, stroke and nerve damage [30]. Type I diabetes (T1D) is an autoimmune disease in which the immune system attacks and impairs cells in the pancreas. While, type II diabetes (T2D) is generally caused by the insulin resistance [31]. Currently, the use of insulin and hypoglycemic drugs and cytokine-based therapeutics are the main and effective treatments for diabetes [32,33,34]. Compared with these traditional therapeutics, utilization of probiotics for diabetes treatment has less side effects and is able to avoid the pain caused by injection. Recently, the researchers engineered a human gut strain Lactococcus lactis for the treatment of T1D. The modified L. lactis was capable of secreting whole proinsulin autoantigen and biologically active immunoregulatory cytokine interleukin-10 (IL-10). The combination therapy with oral administration of recombinant L. lactis and low-dose of nonspecific immune modulator anti-CD3 was employed to test whether the non-obese diabetic (NOD) mouse could revert normoglycemia after diabetes onset. The results shown that 59% of animal models (36 out of 61 mice) had a stable recovery of autoimmune diabetes compared with the control group [35]. In another example, Robert et al. engineered L. lactis to secrete the T1D autoantigen GAD65370–575 and the cytokine IL-10. In combination with short-course low-dose anti-CD3, this treatment can stabilize the pancreas islet inflammation in NOD mice even in the case of severe hyperglycemia [36]. Glucagon-like peptide (GLP) 1 is a regulator for various homeostasis events. It is produced by post-translational processing of proglucagon [37]. It has been reported that GLP-1-(1–37) is able to induce insulin production both in vivo and in vitro by converting adult intestinal epithelial cells into functional insulin-producing cells [38]. On this basis, Duan et al. designed a recombinant strain L. gasseri for secretion of GLP-1-(1–37) to reduce blood glucose levels. The gene encoding GLP-1-(1–37) was fused with a USP45-LEISS secretion marker (SEC) and a polyhistidine (HIS) tag, separated by an enterokinase site. This expression cassette under control of the promoter PslpA was inserted into the chromosome of L. gasseri. The in vitro results indicated that GLP-1-(1–37) could convert rat cells into insulin-secreting cells. When feeding recombinant L. gasseri into diabetic rats, a large number of insulin-producing cells was developed in the upper intestine, the numbers is sufficient to replace 25–33% of the insulin capacity of non-diabetic healthy rats [22]. In addition, L. lactis harboring GLP-1 was also employed for the treatment of T2D. It has been observed that once engineered L. lactis carrying a plasmid vector encoding GLP-1 was orally administered in Zucker diabetic fatty (ZDF) rats, secretion of insulin was significantly stimulated from a pancreatic beta cell line HIT-T15, and the blood glucose levels were decreased by 10–20% during 2–11 h post dosing [39]. Although engineering of bacteria for the treatment of diabetes have made great progress in animal models, there have been very few clinical trials reported so far.

Phenylketonuria (PKU) is a genetic metabolic disorder that prevents patients from breaking down the amino acid phenylalanine [26]. It is caused by a defect in the phenylalanine hydroxylase (PAH) which is an enzyme responsible for converting the phenylalanine into other metabolites. Accumulation of phenylalanine at abnormally high levels in the blood could result in serious health issues including emotional and behavioral difficulties, seizures, tremors and marked intellectual disability [40]. Phenylalanine ammonia lyase (PAL) is able to convert phenylalanine into ammonia and trans-cinnamic acid, which serves as a potential enzyme for PKU therapy [41]. A large amount of PAL protein was obtained by heterologous over-expression of PAL gene from Rhodosporidium toruloides in Escherichia coli. Administration of PAL to the PAHenu2 mouse model of human PKU successfully lowered the plasma phenylalanine concentration [42]. In another study, the metabolically engineered Lactobacillus reuteri carrying PAL from Anabaena variabilis could greatly reduce blood phenylalanine in the mice model of PKU within 4–5 days of treatment. It also observed that the probiotic microbe was lost from the intestine at 8 months post treatment [43]. Recently, an engineered probiotic SYNB1618 was constructed for degradation of phenylalanine. In this case, PAL and L-amino acid deaminase (LAAD), an enzyme responsible for converting phenylalanine into phenylpyruvate, were introduced into E. coli Nissle 1917. The programed probiotic strain can secrete those two enzymes that are activated in the gut under anoxic conditions. Oral treatment of the PAHenu2/enu2 mouse model of PKU with SYNB1618 significantly reduced the blood phenylalanine by 38% compared with the control. Additionally, administration of SYNB1618 to healthy cynomolgus monkey also inhibited the characteristic increases of plasma phenylalanine after a diet challenge [28]. This treatment is now in clinical trials (NCT03516487) to determine the effective dose in the human body.

Hyperammonemia is a metabolic disorder characterized by an excessive amount of ammonia in the blood [44]. It results from the inability of metabolizing free ammonia to urea due to the defect in enzymes and transporters participated in urea cycle [45]. Lactulose or antibiotics administrations have been suggested to treat hyperammonemia by blocking the ammonia formation in intestine or inhibiting its absorption into the body, which are not effective and suffered from many side effects [46]. Recent study has found that oral administration of probiotic L. helveticus strain NS8 can release the cognitive decline and anxiety-like behaviors in hyperammonemia rats, indicating that employment of the gut flora to remove the ammonia from the gut could be served as a promising treatment for hyperammonemia [47]. Shen et al. employed altered Schaedler flora (ASF), a defined consortium of eight gut commensal organisms with minimal urease effect, to treat the hyperammonemia-induced encephalopathy and neurotoxicity. Colonization of those ASF enabled the establishment of a new gut microbiome that resulted in the decrease in urease activity and ammonia generation. Transplantation of ASF to thioacetamide-treated acute and chronic hepatic injury mice successfully lowered the blood ammonia level and improved its survival rate and behavioral performance [48]. Most recently, Kurtz et al. engineered E. coli Nissle 1917 to generate probiotic strain SYNB1020 that is able to dramatically convert ammonia into l-arginine. In this strain, the genes thyA and argR encoding the negative regulators were deleted to activate the transcription of several genes involved in biosynthesis and transportation of arginine. Besides, the gene argA215, encoding a feed-back resistant N-acetylglutamate synthase (argAfbr) was integrated into the genome to enhance the biosynthesis of arginine. Administration of SYNB1020 reduced blood ammonia level and improved survival rate to 50% in the spfash mouse model of hyperammonemia. This strain was further advanced to a phase 1 clinical study and has demonstrated dose-dependent activity in hyperammonemia disorders [29]. Now, SYNB1020 has been recently moved into a phase 1b/2a clinical trials to test its safety, pharmacodynamics and tolerability (NCT03447730).

Levodopa is a primary medicine for the treatment of Parkinson’s disease [49]. After crossing the blood-brain-barrier (BBB), it can be decarboxylated into dopamine catalyzed by the aromatic acid decarboxylase (AADC) to active therapeutic activities [50]. However, levodopa also can be decarboxylated in the gastrointestinal tract to produce dopamine in the periphery, which leads to undesired intestinal side effects and reduced bioavailability [51]. Although co-administration of levodopa with carbidopa, an inhibitor of the AADC, would allow more levodopa to enter the brain by inhibiting the peripheral breakdown of levodopa, the bioavailability is no higher than 50% [52]. A recent study reported an interspecies pathway for levodopa metabolism in the human gut flora. The pyridoxal phosphate-dependent tyrosine decarboxylase (TyrDC) from Enterococcus faecalis and the molybdenum cofactor-dependent dopamine dehydroxylase (Dadh) from Eggerthella lenta were identified as two enzymes responsible for converting levodopa to m-tyramine in the gut. The researchers also identified a compound S-α-fluoromethyltyrosine (AFMT) that was able to inhibit the decarboxylation of levodopa in the gut microbial. It also observed that coadministration of AFMT with levodopa and carbidopa successfully improved the levodopa bioavailability in mice [52]. Alzheimer’s disease is a chronic neurodegenerative disorder in which the progressive loss of brain cells leads to memory loss and cognitive decline [53]. Currently, nearly all β-amyloid (Aβ) and tau-centric therapeutic strategies tested for Alzheimer’s disease have failed in clinical trials, which indicates the great need for development of novel therapies to treat this complicated disease. Most recently, Wang et al. observed that the progression of Alzheimer’s disease is associated with the alteration of gut flora composition. The gut dysbiosis causes the peripheral accumulation of phenylalanine and isoleucine which promotes the activation of M1 microglia, contributing to cognitive impairment. Based on this mechanism, a sodium oligosaccharide drug named GV-971 was used to harness neuroinflammation and cognitive impairment in Alzheimer’s disease progression by reestablishing gut microbiota [54]. This drug has been advanced into a phase 3 clinical study in China and the results shown that it is effective to treat Alzheimer’s disease (NCT02293915).

Engineering probiotics for the treatment of bacterial infections

Bacterial infections are the major cause of morbidity and mortality worldwide [55]. The use of antibiotics is the mainstay of therapy to prevent and treat bacterial infections. However, the excessive use of antibiotics has contributed to antibiotic resistance, which is one of the greatest public health threats [56]. Engineering probiotics to inhibit pathogenic bacteria for the maintenance of gastrointestinal health and treatment of bacterial infections have gained much interest in recent years [57, 58]. As an innovative and alternative measure to treat infectious diseases, probiotic therapy contributes to reduction of the development of multi-resistant bacteria. It has been proposed that probiotics can inhibit pathogens by different mechanisms, including secretion of antibacterial chemicals, stimulation and modulation of the immune responses, competition of nutrition and specific adhesion sites, and inhibition of toxic protein expression in gastrointestinal pathogens [59,60,61,62]. According to the mechanistic basis, various probiotics have been developed, and most of them demonstrated great specificity and efficacy for the inhibition of pathogens.

Many chronic infections are caused by bacterial biofilm formation which leads to resistance against antibiotics and human immune system. Engineering probiotics for inhibition of biofilm formation serves as one of the mechanisms to depress pathogens [63, 64]. In a previous study, an engineered E. coli strain was constructed to detect and kill Pseudomonas aeruginosa via a quorum-sensing signaling system. In this system, the promoter PLasI induced by P. aeruginosa quorum sensing molecule N-acyl- homoserine lactone (AHL) was introduced to drive the expression of a genetic circuit consists of the genes encoding E7 lysis protein and pyocin S5, a narrow-spectrum bacteriocin targeting P. aeruginosa infection. The produced E7 lysis protein is responsible for lysing the E. coli cells so that the generated pyocin S5 can be released into the extracellular medium to kill P. aeruginosa specifically. The results showed that the engineered E. coli can inhibit the biofilm formation by 90% and reduce the growth of planktonic P. aeruginosa by 99% [63, 64]. This system was further modified to prevent P. aeruginosa gut infection in animal models by employment of the probiotic strain E. coli Nissle 1917 as the host. Compared with the previous system, an extra anti-biofilm protein dispersin B was introduced to destabilize mature biofilms to achieve a more physiologically relevant treatment. The in vivo efficacy of this system was evaluated in both Caenorhabditis elegans and mouse infection models. It observed that the survival time of the treatment group increased more than twofold in P. aeruginosa-infected C. elegans model. In the P. aeruginosa-infected mouse model, the P. aeruginosa levels were reduced by 77% in the treatment group compared with the control group, and the probiotic can colonize in the mouse gut for up to 3 weeks [57]. Besides, probiotics also can be engineered to have an inhibitory effect on enterohemorrhagic E. coli strain (EHEC), Staphylococcus aureus and S. epidermidis infections. Fang et al. identified a protease DegP within the periplasm of E. coli Nissle 1917, it can inhibit the biofilm formation of EHEC strain. Additionally, it also demonstrated significant repression effect on the growth rates of Gram-positive pathogens S. aureus and S. epidermidis [62].

Salmonella infections cause a variety of symptoms such as diarrhea, nausea, abdominal cramps and fever [65, 66]. Salmonella bacteria are often found in animals such as livestock, rodents and poultry, but sometimes it can spread to human in food contaminated by infected animal feces [65, 66]. Previously, a chromosome-encoded antibiotic microcin H47 was identified in E. coli that exhibited the inhibition effect on the growth of Salmonella [67]. On this basis, Sassone-Corsi et al. demonstrated that engineering of E. coli Nissle 1917 to produce microcin can therapeutically displace pathogen S. enterica in the inflamed gut under specific environmental conditions such as iron limitation [68]. It has been reported that reactive oxygen species produced during gut inflammation reacted with luminal thiosulfate, resulting in generation of tetrathionate [69]. In Salmonella species, the ttr operon (ttrRSBCA) is a locus encodes tetrathionate reductase for anaerobic respiration, which enable this pathogen with the ability to utilize the produced tetrathionate as an electron acceptor for respiration. As a result, the growth of pathogen Salmonella species outcompetes with intestinal microbiota during inflammation conditions [69]. Based on this mechanism, Palmer et al. developed a E. coli Nissle 1917 strain harboring both microcin H47 production system and tetrathionate sensing system to inhibit Salmonella infections (Fig. 2). In this strain, the production of microcin H47 was induced by the presence of tetrathionate, increasing the ability of the probiotic strain to inhibit overgrowth of infectious Salmonella species under inflammatory conditions [61]. MccJ25 is an antibacterial peptide microcin secreted by E. coli AY25. Mature MccJ25 can form a unique and stable lasso structure to inhibit transcription by bacteria RNA polymerase [70]. The probiotic E. coli Nissle 1917 was modified to express and secrete MccJ25 for the reduction of S. enterica in turkey gastrointestinal tract. The results shown that administration of the probiotic decreased the Salmonella carriage by 97% in the treated group and has no significant impact on the native microbiome in turkey ceca. It also observed that the modified probiotic demonstrated higher efficacy compared to treatment with traditional antibiotic enrofloxacin [71].

Fig. 2
figure 2

Engineering probiotic strain for the inhibition of Salmonella infection. The tetrathionate sensing system and Microcin H47 (Mcch47) production system were introduced into E. coli Nissle 1917. The ttr operon (ttrRSBCA) encodes tetrathionate reductase and the mch operon (mchAXIBCDEF) encodes Mcch47. During the course of Salmonella infection, tetrathionate was generated in the inflamed gut. In the presence of tetrathionate, the promoter PttrBCA was activated by the tetrathionate sensor histidine kinase TtrS and the response regulator TtrR. The transcription of the mch operon was initiated to produce Microcin H47 for the inhibition of Salmonella

Cholera is an acute secretory diarrheal disease caused by infection of the intestine with the Vibrio cholerae [72, 73]. The pathogen V. cholerae can colonize in the small intestine and produces toxins that cause severe watery diarrhea. If untreated, severe dehydration can rapidly result in shock and even death in a short time [72, 73]. V. cholerae utilizes a sophisticated quorum sensing system to control its infection behavior in a density-dependent manner. At low cell density, the expression of virulence factors is initiated for establishment of infection. When the bacterial numbers are high, the expression of virulence factors is repressed by the high-level accumulation of autoinducers [74]. Based on this mechanism, Duan et al. engineered a probiotic E. coli strain to crosstalk with quorum sensing and thereby prevent V. cholerae from producing toxin. Administration of therapeutic probiotic strains led to an increased survival rate and decreased toxin formation in infant mouse models [75, 76]. In addition, Mao et al. designed and constructed a probiotic strain to sense V. cholerae in mouse gut. Oral administration of L. lactis could kill V. cholerae by secreting lactic acid in infant mouse cholera challenge models [77]. In another example, a live cholera vaccine candidate was created by genetically engineering a variant cholerae EI Tor strain, the modifications include remove of the essential virulence factors, reducing potential adverse reactions and prevention of the organism from becoming toxic again. It was demonstrated that this vaccine can effectively confer probiotic-like cholera protection in the short time in an infant rabbit model of cholera [78].

Engineering probiotics for diagnosis and detection of diseases

Another application of engineered probiotics is diagnosis and detection of diseases. Engineering of the bacteria to sense an important molecule in the body and then to produce a specific signal enables probiotics to become a diagnostic device. Introduction of the quorum sensing system into the probiotics is a commonly used strategy to sense the infected pathogens [77]. For instance, a diagnostic circuit in L. lactis was developed for in situ detection of a molecule produced by V. cholerae, thereby to get an early alert to cholera infection by the color changing of the host’s feces samples (Fig. 3). In this work, a novel signal molecule-sensor device was constructed by fusing the transmembrane ligand binding domain of CqsS from V. cholerae and the signal transduction domain of NisK from L. lactis. Once the engineered L. lactis detected the signaling molecule produced by V. cholerae, it will secrete the β-lactamase to demonstrate colorimetric shift in the presence of nitrocefin. Oral administration of the engineered L. lactis to cholera infected mice led to positive signals in their feces samples [77]. Formylated peptides are ubiquitous signal peptides produced by a broad range of bacterial species [79]. The human formyl peptide receptor FPR1 is able to monitor the presence of formyl peptides at nanomolar scale [80]. On this basis, Sedlmayer et al. constructed an artificial microbial-control circuit by coupling of formyl peptide sensor with the quorum sensing system to detect and destroy pathogens infection. Cells equipped with this system can detect formyl peptides generated by pathogens with high sensitivity and activate the production of the quorum sensing signaling molecule autoinducer-2 (AI-2) to efficiently reduce the biofilm formation [81].

Fig. 3
figure 3

Engineering L. lactis probiotic strain for the detection of cholera infection. HR4M, a functional hybrid receptor variant was constructed by fusing transmembrane ligand binding domain of CqsS from V. cholerae with the signal transduction domain of NisK from L. lactis. The V. cholerae-sensing element consists of a HR4M-NisR two-component sensing system and a TetR-Pxyltet signaling system. In the absence of CAI-1, the phosphorylated NisR activates the expression of tetR, which is a transcriptional repressor for the promoter Pxyltet, thus lead to inhibition of the reporter gene. In the presence of CAI-1, the HR4M-NisR two-component sensing system stops its phosphorelay, thus repressing the expression of tetR and resulting in the activation of the reporter gene

Except for recognition of pathogen infections, the sensor-equipped probiotics could also be used to produce detectable signals for cancer diagnosis. The oxygen-limited and necrotic regions of tumors are attractive environments for some anaerobic bacteria such as E. coli, Clostridium and Salmonella [82,83,84]. The natural propensity to colonize tumor environments enables those bacteria to selectively target tumors and metastases [84]. Danino et al. engineered probiotic E. coli Nissle 1917 as a diagnostic tool to detect liver metastasis in mice by specifically colonizing liver tumor and producing a detectable signal in urine. In this design, the expression cassettes luxCDABE (encoding uciferase) and lacZ (encoding β-galactosidase) were co-expressed in E. coli, which enabled the created probiotic strain PROP-Z to generate luminescent signal and colorimetric readout [85, 86]. The murine model of liver metastasis was treated by oral administration of PROP-Z and intraperitoneal injection of D-luciferin, it was observed a good specificity and correlation between tumor diameters and signal radiances. To further enhance the stability and efficacy of this system, a toxin-antitoxin system and the gene dlp7 from Bacillus subtilis were introduced into PROP-Z to force the cell to maintain the plasmid and equally segregate it upon cell division. Oral delivery combined with the administration of luciferin/galactose conjugate resulted in the release of luciferin into circulation, which can be cleared by the kidney allowing for detection in murine urine samples [87]. In another example, Kotula et al. constructed a toggle switch in E. coli that enables detection, memory and recording of exposure to antibiotics within the gut environment. Especially, this system consists of a stable memory element based on the phage lamba cI/cro genetic switch and a trigger device in which the expression of the gene cro is controlled by a tetracycline-inducible promoter. The presence of the tetracycline switches the memory element from the cI state into the Cro state and triggers the expression of a β-galactosidase reporter gene (encoded by lacZ) within the memory element. Oral administration of the engineered E. coli strain to tetracycline-exposed mice enables recording of the event in the mouse gut by analyzing the fecal samples [88].

Probiotics could also be engineered to detect inflammation via small-molecule sensing. Nitric oxide (NO) is a signaling molecule that can be generated by many cell types [89]. It is recognized as an anti-inflammatory compound under normal physiological conditions [90]. While, over-production of NO under abnormal situations causes tissue damage, inflammation and even cancer [91]. Thus, the high level of NO serves as a proinflammatory indicator in inflammatory bowel diseases. Archer et al. constructed a living bacterial sensing device to detect NO for marker of gut inflammation. The engineered E. coli strain equipped with this synthetic device perceived NO production in the gut. The presence of the NO activated the expression of a DNA recombinase, causing permanent activation of a DNA switch that is inherited by the progeny after cell division [92]. Another interesting small molecule is tetrathionate. Sulfate reducing bacteria (SRB) in the colon can produce hydrogen sulfide, which is extremely cytotoxic to the host cells [93, 94]. High level of hydrogen sulfide inactivates cytochrome c oxidase and inhibits the oxidation of butyrate in colon epithelial cells [95]. In the host, hydrogen sulfide can be detoxicated to thiosulfate, which is further oxidized to tetrathionate by reactive oxygen species (ROS) during gut inflammation [69, 96]. Hence, tetrathionate could be used as a biomarker for detection of gastrointestinal tract disease if this molecule can be precisely sensed in the host. It has been reported that some pathogenic bacteria are capable of using tetrathionate as a terminal electron acceptor to obtain a growth advantage. Those bacteria possess a two-component regulatory system (TCRS), which is able to specifically sense the presence of tetrathionate and sequentially reduce its accumulation by activating the expression level of tetrathionate consumption pathways [69, 96]. Based on this mechanism, Riglar et al. developed a probiotic E. coli strain that can sense and remember tetrathionate exposure in the gut by employing the TCRS from Salmonella and engineered this system to activate a phage lamba cI/Cro genetic element [97]. In another study, Daeffler et al. identified novel TCRS homologs from marine Shewanella species, which includes a thiosulfate sensor regulator ThsSR and a tetrathionate sensor regulator TtrSR (Fig. 4). It was found that both sensors functioned well in the complex colonic environment. With a fluorescent reporter gene inserted, the engineered probiotic E. coli strain harboring thiosulfate sensor demonstrated specific response and fluorescence in colon inflammation mouse model [98].

Fig. 4
figure 4

Engineering probiotic E. coli strain for the detection of gut inflammation via a thiosulfate sensor. The presence of thiosulfate initiates the phosphorylation of thiosulfate response regulator ThsR and sensor ThsS, which activates the transcription of promoter PphsA. Over-expression of a fluorescent reporter gene under control of the promoter PphsA, the engineered probiotic E. coli strain harboring thiosulfate sensor demonstrated specific response and fluorescence in colon inflammation mouse model

Conclusions

The recent studies present an increasing evidence indicating the nice healthy effect of probiotics on an individual [99,100,101]. Utilization of probiotics as dietary management for treatment of diseases has gained much attention in food and medicine industries [102]. The development of metabolic engineering and synthetic biology enable disclosing their mechanism of action and creating novel probiotic strains with desired functions. Engineering of probiotic strains for detection and treatment of metabolic disorders, inflammations and pathogen infections has made great progress in recent years [28, 54]. Those advancements enable us to provide insights into the principles and limitations for development of perfect probiotics for human health.

Metabolic disorders including hyperammonemia and phenylketonuria are usually caused by excessive accumulation of the toxic products or insufficient supply of the essential metabolic intermediates [26, 44]. Engineering probiotics harboring supplemental enzymes or pathways to supply essential intermediates or remove toxic compounds serves as a promising approach for the treatment of metabolic disorders caused by the enzyme deficiency. However, the specificity and activity of the introduced enzymes should be carefully evaluated to avoid resulting in other unnecessary metabolic disorders. Currently, there are a lot of strains used as probiotic hosts including E. coli Nissle 1917, L. lactis, B. subtilis, Saccharomyces cerevisiae, Enterococcus and Streptococcus species [77, 92, 103, 104]. In some cases, those microbes are genetically modified for a specific effect, which presents a major limiting-factor for their large-scale applications. It is well known that some people believe those genetically modified microorganisms are dangerous to their health. Additionally, it is necessary and essential to conduct safety assessments on those probiotic strains for human use, including the short-term, long-term side effects and potential vulnerability or pathogenicity to the consumer or patient. Engineering probiotics also can be used to inhibit pathogen infections by secreting antimicrobial peptides or bacteriocins that enable probiotic strains to obtain growth advantage [62, 69]. However, like antibiotics, most of the antimicrobial peptides or bacteriocins are not specific. Use of those chemicals may cause intestinal dysbiosis, metabolic disorders and other side effects. In addition, those antimicrobial peptides or bacteriocins are usually toxic to the probiotic strains and even kill the producing cells. In some cases, those orally administrated antimicrobial peptides or bacteriocins are rapidly recognized by the immune system and degraded before they can reach the target site of infection. Engineering probiotics for detection and diagnosis of diseases such as inflammatory bowel disease and pre-symptomatic abnormal changes are involved in sensing an important molecule which can be quorum sensing signaling molecules or inflammatory environmental conditions, and then producing some signals that can be detected in the urine or feces [77, 87]. Such in vivo monitoring method is able to track the gut health status in patients without more invasive tests, such as endoscopy. However, several issues still need to be addressed for widely application of those diagnostic devices. The interface between the probiotic strains and host cells is difficult to understand. Besides, the sensitivity and specificity of the engineered sensors are hardly to control. Thus, most of the current studies have not yet advanced into clinical trials. Despite those limitations, it is still need to pay a lot of attention on engineering probiotic strains for human health improvement. We believe that the increasing knowledge of the human microbiome and the mechanisms of disease, the fast development of metabolic engineering, synthetic biology and other disciplines will facilitate optimization of strategies in design and construction of robust and effective probiotics to prevent disease and improve human health.

Availability of data and materials

Not applicable.

Abbreviations

IBD:

Inflammatory bowel disease

T1D:

Type I diabetes

T2D:

Type II diabetes

IL-10:

Interleukin-10

NOD:

Non-obese diabetic

GLP:

Glucagon-like peptide

HIS:

Polyhistidine

ZDF:

Zucker diabetic fatty

PKU:

Phenylketonuria

PAH:

Phenylalanine hydroxylase

PAL:

Phenylalanine ammonia lyase

LAAD:

l-amino acid deaminase

ASF:

Altered schaedler flora

BBB:

Blood–brain-barrier

AADC:

Aromatic acid decarboxylase

TyrDC:

Tyrosine decarboxylase

AFMT:

S-α-fluoromethyltyrosine

AHL:

N-acyl-homoserine lactone

EHEC:

Enterohemorrhagic E. coli strain

AI-2:

Autoinducer-2

NO:

Nitric oxide

SRB:

Sulfate reducing bacteria

TCRS:

Two-component regulatory system

References

  1. Bäumler AJ, Sperandio V. Interactions between the microbiota and pathogenic bacteria in the gut. Nature. 2016;535:85–93.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  2. Rupa P, Mine Y. Recent advances in the role of probiotics in human inflammation and gut health. J Agric Food Chem. 2012;60:8249–56.

    Article  CAS  PubMed  Google Scholar 

  3. Nicholson JK, Elaine H, James K, Remy B, Glenn G, Wei J, Sven P. Host-gut microbiota metabolic interactions. Science. 2012;336:1262–7.

    Article  CAS  PubMed  Google Scholar 

  4. Fischbach Michael A, Segre Julia A. Signaling in host-associated microbial communities. Cell. 2016;164:1288–300.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Clemente JC, Ursell LK, Parfrey LW, Knight R. The impact of the gut microbiota on human health: an integrative view. Cell. 2012;148:1258–70.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Nicholson JK, Wilson ID. Understanding’global’systems biology: metabonomics and the continuum of metabolism. Nat Rev Drug Discov. 2003;2:668.

    Article  CAS  PubMed  Google Scholar 

  7. Jonsson AL, Bäckhed F. Role of gut microbiota in atherosclerosis. Nat Rev Cardiol. 2017;14:79.

    Article  CAS  PubMed  Google Scholar 

  8. Li J, Zhao F, Wang Y, Chen J, Tao J, Tian G, Wu S, Liu W, Cui Q, Geng B. Gut microbiota dysbiosis contributes to the development of hypertension. Microbiome. 2017;5:14.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Marques FZ, Nelson E, Chu P-Y, Horlock D, Fiedler A, Ziemann M, Tan JK, Kuruppu S, Rajapakse NW, El-Osta A. High-fiber diet and acetate supplementation change the gut microbiota and prevent the development of hypertension and heart failure in hypertensive mice. Circulation. 2017;135:964–77.

    Article  CAS  PubMed  Google Scholar 

  10. Tang WW, Wang Z, Kennedy DJ, Wu Y, Buffa JA, Agatisa-Boyle B, Li XS, Levison BS, Hazen SL. Gut microbiota-dependent trimethylamine N-oxide (TMAO) pathway contributes to both development of renal insufficiency and mortality risk in chronic kidney disease. Circ Res. 2015;116:448–55.

    Article  CAS  PubMed  Google Scholar 

  11. Mafra D, Fouque D. Gut microbiota and inflammation in chronic kidney disease patients. Clin Kidney J. 2015;8:332–4.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Boulangé CL, Neves AL, Chilloux J, Nicholson JK, Dumas M-E. Impact of the gut microbiota on inflammation, obesity, and metabolic disease. Genome Med. 2016;8:1–12.

    Article  CAS  Google Scholar 

  13. Baothman OA, Zamzami MA, Taher I, Abubaker J, Abu-Farha M. The role of gut microbiota in the development of obesity and diabetes. Lipids Health Dis. 2016;15:108.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  14. Zitvogel L, Galluzzi L, Viaud S, Vétizou M, Daillère R, Merad M, Kroemer G. Cancer and the gut microbiota: an unexpected link. Sci Translational Med. 2015;7:271ps1.

    Article  CAS  Google Scholar 

  15. Gagnière J, Raisch J, Veziant J, Barnich N, Bonnet R, Buc E, Bringer M-A, Pezet D, Bonnet M. Gut microbiota imbalance and colorectal cancer. World J Gastroenterol. 2016;22:501.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  16. Murphy EA, Velazquez KT, Herbert KM. Influence of high-fat-diet on gut microbiota: a driving force for chronic disease risk. Curr Opin Clin Nutr Metab Care. 2015;18:515.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Miele L, Giorgio V, Alberelli MA, De Candia E, Gasbarrini A, Grieco A. Impact of gut microbiota on obesity, diabetes, and cardiovascular disease risk. Curr Cardiol Rep. 2015;17:120.

    Article  PubMed  Google Scholar 

  18. Zarrinpar A, Chaix A, Xu ZZ, Chang MW, Marotz CA, Saghatelian A, Knight R, Panda S. Antibiotic-induced microbiome depletion alters metabolic homeostasis by affecting gut signaling and colonic metabolism. Nat Commun. 2018;9:2872.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  19. Wu GD, Compher C, Chen EZ, Smith SA, Shah RD, Bittinger K, Chehoud C, Albenberg LG, Nessel L, Gilroy E. Comparative metabolomics in vegans and omnivores reveal constraints on diet-dependent gut microbiota metabolite production. Gut. 2016;65:63–72.

    Article  CAS  PubMed  Google Scholar 

  20. Gareau MG, Sherman PM, Walker WA. Probiotics and the gut microbiota in intestinal health and disease. Nat Rev Gastroenterol Hepatol. 2010;7:503.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Chua KJ, Kwok WC, Aggarwal N, Sun T, Chang MW. Designer probiotics for the prevention and treatment of human diseases. Curr Opin Chem Biol. 2017;40:8–16.

    Article  CAS  PubMed  Google Scholar 

  22. Duan FF, Liu JH, March JC. Engineered commensal bacteria reprogram intestinal cells into glucose-responsive insulin-secreting cells for the treatment of diabetes. Diabetes. 2015;64:1794–803.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Lagenaur LA, Sanders-Beer BE, Brichacek B, Pal R, Liu X, Liu Y, Yu R, Venzon D, Lee PP, Hamer DH. Prevention of vaginal SHIV transmission in macaques by a live recombinant Lactobacillus. Mucosal Immunol. 2011;4:648.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Ramírez AM, Rodriguez-López A, Ardila A, Beltran L, Patarroyo CA, Melendez ADP, Sánchez OF, Alméciga-Díaz CJ. Production of human recombinant phenylalanine hydroxylase in Lactobacillus plantarum for gastrointestinal delivery. Eur J Pharm Sci. 2017;109:48–55.

    Article  CAS  PubMed  Google Scholar 

  25. Yen C-LE, Cheong M-L, Grueter C, Zhou P, Moriwaki J, Wong JS, Hubbard B, Marmor S, Farese RV Jr. Deficiency of the intestinal enzyme acyl CoA: monoacylglycerol acyltransferase-2 protects mice from metabolic disorders induced by high-fat feeding. Nat Med. 2009;15:442.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Blau N, van Spronsen FJ, Levy HL. Phenylketonuria. Lancet. 2010;376:1417–27.

    Article  CAS  PubMed  Google Scholar 

  27. Picca S, Dionisi-Vici C. Hyperammonemia and metabolic diseases. Critical care pediatric nephrology and dialysis: a practical handbook. Singapore: Springer; 2019. p. 311–23.

    Book  Google Scholar 

  28. Isabella VM, Ha BN, Castillo MJ, Lubkowicz DJ, Rowe SE, Millet YA, Anderson CL, Li N, Fisher AB, West KA, et al. Development of a synthetic live bacterial therapeutic for the human metabolic disease phenylketonuria. Nat Biotechnol. 2018;36:857–64.

    Article  CAS  PubMed  Google Scholar 

  29. Kurtz CB, Millet YA, Puurunen MK, Perreault M, Charbonneau MR, Isabella VM, Kotula JW, Antipov E, Dagon Y, Denney WS. An engineered E. coli Nissle improves hyperammonemia and survival in mice and shows dose-dependent exposure in healthy humans. Sci Translational Med. 2019;11:eaau7975.

    Article  CAS  Google Scholar 

  30. Li X, Song D, Leng SX. Link between type 2 diabetes and Alzheimer’s disease: from epidemiology to mechanism and treatment. Clin Interv Aging. 2015;10:549.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Klöppel G, Löhr M, Habich K, Oberholzer M, Heitz PU. Islet pathology and the pathogenesis of type 1 and type 2 diabetes mellitus revisited. Surv Synth Pathol Res. 1985;4:110–25.

    PubMed  Google Scholar 

  32. Vinay K, Abbas AK, Fauston N. Robbins and Cotran pathologic basis of disease. Saunders, El Sevier, China. 2005;8:208–21.

    Google Scholar 

  33. Van Belle TL, Coppieters KT, Von Herrath MG. Type 1 diabetes: etiology, immunology, and therapeutic strategies. Physiol Rev. 2011;91:79–118.

    Article  CAS  PubMed  Google Scholar 

  34. Bluestone JA, Herold K, Eisenbarth G. Genetics, pathogenesis and clinical interventions in type 1 diabetes. Nature. 2010;464:1293.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Takiishi T, Korf H, Van Belle TL, Robert S, Grieco FA, Caluwaerts S, Galleri L, Spagnuolo I, Steidler L, Van Huynegem K. Reversal of autoimmune diabetes by restoration of antigen-specific tolerance using genetically modified Lactococcus lactis in mice. J Clin Investig. 2012;122:1717–25.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Robert S, Gysemans C, Takiishi T, Korf H, Spagnuolo I, Sebastiani G, Van Huynegem K, Steidler L, Caluwaerts S, Demetter P. Oral delivery of glutamic acid decarboxylase (GAD)-65 and IL10 by Lactococcus lactis reverses diabetes in recent-onset NOD mice. Diabetes. 2014;63:2876–87.

    Article  CAS  PubMed  Google Scholar 

  37. Hvidberg A, Nielsen MT, Hilsted J, Ørskov C, Holst JJ. Effect of glucagon-like peptide-1 (proglucagon 78–107amide) on hepatic glucose production in healthy man. Metabolism. 1994;43:104–8.

    Article  CAS  PubMed  Google Scholar 

  38. Suzuki A, Nakauchi H, Taniguchi H. Glucagon-like peptide 1 (1–37) converts intestinal epithelial cells into insulin-producing cells. Proc Natl Acad Sci. 2003;100:5034–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Agarwal P, Khatri P, Billack B, Low W-K, Shao J. Oral delivery of glucagon like peptide-1 by a recombinant Lactococcus lactis. Pharm Res. 2014;31:3404–14.

    Article  CAS  PubMed  Google Scholar 

  40. Mitchell JJ, Trakadis YJ, Scriver CR. Phenylalanine hydroxylase deficiency. Genetics Med. 2011;13:697.

    Article  CAS  Google Scholar 

  41. Wang L, Gamez A, Sarkissian CN, Straub M, Patch MG, Han GW, Striepeke S, Fitzpatrick P, Scriver CR, Stevens RC. Structure-based chemical modification strategy for enzyme replacement treatment of phenylketonuria. Mol Genet Metab. 2005;86:134–40.

    Article  CAS  PubMed  Google Scholar 

  42. Sarkissian CN, Shao Z, Blain F, Peevers R, Su H, Heft R, Chang TM, Scriver CR. A different approach to treatment of phenylketonuria: phenylalanine degradation with recombinant phenylalanine ammonia lyase. Proc Natl Acad Sci. 1999;96:2339–44.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Durrer KE, Allen MS, Von Herbing IH. Genetically engineered probiotic for the treatment of phenylketonuria (PKU); assessment of a novel treatment in vitro and in the PAHenu2 mouse model of PKU. PLoS ONE. 2017;12:e0176286.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  44. Bachmann C. Mechanisms of hyperammonemia. Clin Chem Lab Med. 2002;40:653–62.

    Article  CAS  PubMed  Google Scholar 

  45. Leonard JV, Morris AAM. Urea cycle disorders. Semin Neonatol Sn. 2002;7:27–35.

    Article  CAS  PubMed  Google Scholar 

  46. Auron A, Brophy PD. Hyperammonemia in review: pathophysiology, diagnosis, and treatment. Pediatr Nephrol. 2012;27:207–22.

    Article  PubMed  Google Scholar 

  47. Luo J, Wang T, Liang S, Hu X, Li W, Jin F. Ingestion of Lactobacillus strain reduces anxiety and improves cognitive function in the hyperammonemia rat. Sci China Life Sci. 2014;57:327–35.

    Article  PubMed  Google Scholar 

  48. Shen TCD, Albenberg L, Bittinger K, Chehoud C, Chen YY, Judge CA, Chau L, Ni J, Sheng M, Lin A. Engineering the gut microbiota to treat hyperammonemia. J Clin Invest. 2015;125:2841–50.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Hornykiewicz O. L-dopa. J Parkinson’s Dis. 2017;7:S3–10.

    Article  Google Scholar 

  50. Bergmann S, Curzon G, Friedel J, Godwin-Austen R, Marsden C, Parkes J. The absorption and metabolism of a standard oral dose of levodopa in patients with Parkinsonism. Br J Clin Pharmacol. 1974;1:417.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Whitfield AC, Moore BT, Daniels RN. Classics in chemical neuroscience: levodopa. Acs Chem Neurosci. 2014;5:1192.

    Article  CAS  PubMed  Google Scholar 

  52. Rekdal VM, Bess EN, Bisanz JE, Turnbaugh PJ, Balskus EP. Discovery and inhibition of an interspecies gut bacterial pathway for Levodopa metabolism. Science. 2019;364:eaau6323.

    Article  PubMed Central  Google Scholar 

  53. Selkoe DJ, Hardy J. The amyloid hypothesis of Alzheimer’s disease at 25 years. EMBO Mol Med. 2016;8:595–608.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  54. Wang X, Sun G, Feng T, Zhang J, Huang X, Wang T, Xie Z, Chu X, Yang J, Wang H. Sodium oligomannate therapeutically remodels gut microbiota and suppresses gut bacterial amino acids-shaped neuroinflammation to inhibit Alzheimer’s disease progression. Cell Res. 2019;29:787–803.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  55. Mulholland EK, Adegbola RA. Bacterial infections—a major cause of death among children in Africa. New Engl J Med. 2005;352:75–7.

    Article  CAS  PubMed  Google Scholar 

  56. Renwick MJ, Brogan DM, Mossialos E. A systematic review and critical assessment of incentive strategies for discovery and development of novel antibiotics. J Antibiot. 2016;69:73.

    Article  CAS  Google Scholar 

  57. Hwang IY, Koh E, Wong A, March JC, Bentley WE, Lee YS, Chang MW. Engineered probiotic Escherichia coli can eliminate and prevent Pseudomonas aeruginosa gut infection in animal models. Nat Commun. 2017;8:15028.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  58. Certain LK, Way JC, Pezone MJ, Collins JJ. Using engineered bacteria to characterize infection dynamics and antibiotic effects in vivo. Cell Host Microbe. 2017;22(263–268):e264.

    Google Scholar 

  59. Martinsen TC, Bergh K, Waldum HL. Gastric juice: a barrier against infectious diseases. Basic Clin Pharmacol Toxicol. 2005;96:94–102.

    Article  CAS  PubMed  Google Scholar 

  60. Simčič S, Berlec A, Stopinšek S, Štrukelj B. Engineered and wild-type L. lactis promote anti-inflammatory cytokine signalling in inflammatory bowel disease patient’s mucosa. World J Microbiol Biotechnol. 2019;35:45.

    Article  CAS  PubMed  Google Scholar 

  61. Palmer JD, Piattelli E, McCormick BA, Silby MW, Brigham CJ, Bucci V. Engineered probiotic for the inhibition of Salmonella via tetrathionate-induced production of microcin H47. ACS Infectious Dis. 2017;4:39–45.

    Article  CAS  Google Scholar 

  62. Fang K, Jin X, Hong SH. Probiotic Escherichia coli inhibits biofilm formation of pathogenic E. coli via extracellular activity of DegP. Sci Rep. 2018;8:4939.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  63. Saeidi N, Wong CK, Lo TM, Nguyen HX, Ling H, Leong SSJ, Poh CL, Chang MW. Engineering microbes to sense and eradicate Pseudomonas aeruginosa, a human pathogen. Mol Syst Biol. 2011;7:521.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  64. Gupta S, Bram EE, Weiss R. Genetically programmable pathogen sense and destroy. ACS Synthetic Biol. 2013;2:715–23.

    Article  CAS  Google Scholar 

  65. Tsolis RM, Kingsley RA, Townsend SM, Ficht TA, Adams LG, Bäumler AJ. Of mice, calves, and men. Mechanisms in the pathogenesis of enteric diseases 2. Boston: Springer; 1999. p. 261–74.

    Book  Google Scholar 

  66. Mastroeni P, Sheppard M. Salmonella infections in the mouse model: host resistance factors and in vivo dynamics of bacterial spread and distribution in the tissues. Microbes Infect. 2004;6:398–405.

    Article  CAS  PubMed  Google Scholar 

  67. Laviña M, Gaggero C, Moreno F. Microcin H47, a chromosome-encoded microcin antibiotic of Escherichia coli. J Bacteriol. 1990;172:6585–8.

    Article  PubMed  PubMed Central  Google Scholar 

  68. Sassone-Corsi M, Nuccio S-P, Liu H, Hernandez D, Vu CT, Takahashi AA, Edwards RA, Raffatellu M. Microcins mediate competition among Enterobacteriaceae in the inflamed gut. Nature. 2016;540:280.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  69. Winter SE, Thiennimitr P, Winter MG, Butler BP, Huseby DL, Crawford RW, Russell JM, Bevins CL, Adams LG, Tsolis RM. Gut inflammation provides a respiratory electron acceptor for Salmonella. Nature. 2010;467:426.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  70. Adelman K, Yuzenkova J, La Porta A, Zenkin N, Lee J, Lis JT, Borukhov S, Wang MD, Severinov K. Molecular mechanism of transcription inhibition by peptide antibiotic microcin J25. Mol Cell. 2004;14:753–62.

    Article  CAS  PubMed  Google Scholar 

  71. Forkus B, Ritter S, Vlysidis M, Geldart K, Kaznessis YN. Antimicrobial probiotics reduce Salmonella enterica in Turkey gastrointestinal tracts. Sci Rep. 2017;7:40695.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  72. Bennish ML. Cholera: pathophysiology, clinical features, and treatment. Vibrio cholerae and Cholera. Washington: American Society of Microbiology; 1994. p. 229–55.

    Google Scholar 

  73. Ali M, Nelson AR, Lopez AL, Sack DA. Updated global burden of cholera in endemic countries. PLoS Neglected Trop Dis. 2015;9:e0003832.

    Article  CAS  Google Scholar 

  74. Higgins DA, Pomianek ME, Kraml CM, Taylor RK, Semmelhack MF, Bassler BL. The major Vibrio cholerae autoinducer and its role in virulence factor production. Nature. 2007;450:883.

    Article  CAS  PubMed  Google Scholar 

  75. Duan F, March JC. Engineered bacterial communication prevents Vibrio cholerae virulence in an infant mouse model. Proc Natl Acad Sci. 2010;107:11260–4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  76. Holowko MB, Wang H, Jayaraman P, Poh CL. Biosensing Vibrio cholerae with genetically engineered Escherichia coli. ACS Synthetic Biol. 2016;5:1275–83.

    Article  CAS  Google Scholar 

  77. Mao N, Cubillos-Ruiz A, Cameron DE, Collins JJ. Probiotic strains detect and suppress cholera in mice. Sci Translational Med. 2018;10:eaa02586.

    Article  CAS  Google Scholar 

  78. Hubbard TP, Billings G, Dörr T, Sit B, Warr AR, Kuehl CJ, Kim M, Delgado F, Mekalanos JJ, Lewnard JA. A live vaccine rapidly protects against cholera in an infant rabbit model. Sci Translational Med. 2018;10:eaap8423.

    Article  CAS  Google Scholar 

  79. Dorward DA, Lucas CD, Chapman GB, Haslett C, Dhaliwal K, Rossi AG. The role of formylated peptides and formyl peptide receptor 1 in governing neutrophil function during acute inflammation. Am J Pathol. 2015;185:1172–84.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  80. He H-Q, Troksa EL, Caltabiano G, Pardo L, Richard DY. Structural determinants for the interaction of formyl peptide receptor 2 with peptide ligands. J Biol Chem. 2014;289:2295–306.

    Article  CAS  PubMed  Google Scholar 

  81. Sedlmayer F, Hell D, Müller M, Ausländer D, Fussenegger M. Designer cells programming quorum-sensing interference with microbes. Nat Commun. 2018;9:1822.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  82. Toso JF, Gill VJ, Hwu P, Marincola FM, Restifo NP, Schwartzentruber DJ, Sherry RM, Topalian SL, Yang JC, Stock F. Phase I study of the intravenous administration of attenuated Salmonella typhimurium to patients with metastatic melanoma. J Clin Oncol. 2002;20:142.

    Article  PubMed  Google Scholar 

  83. Heimann DM, Rosenberg SA. Continuous intravenous administration of live genetically modified Salmonella typhimurium in patients with metastatic melanoma. J Immunother. 2003;26:179–80.

    Article  PubMed  PubMed Central  Google Scholar 

  84. Nemunaitis J, Cunningham C, Senzer N, Kuhn J, Cramm J, Litz C, Cavagnolo R, Cahill A, Clairmont C, Sznol M. Pilot trial of genetically modified, attenuated Salmonella expressing the E. coli cytosine deaminase gene in refractory cancer patients. Cancer Gene Ther. 2003;10:737.

    Article  CAS  PubMed  Google Scholar 

  85. Riedel CU, Casey PG, Mulcahy H, O’Gara F, Gahan CG, Hill C. Construction of p16Slux, a novel vector for improved bioluminescent labeling of gram-negative bacteria. Appl Environ Microbiol. 2007;73:7092–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  86. Meighen EA. Molecular biology of bacterial bioluminescence. Microbiol Mol Biol Rev. 1991;55:123–42.

    CAS  Google Scholar 

  87. Danino T, Prindle A, Kwong GA, Skalak M, Li H, Allen K, Hasty J, Bhatia SN. Programmable probiotics for detection of cancer in urine. Sci Translational Med. 2015;7(289):289ra84.

    Article  CAS  Google Scholar 

  88. Kotula JW, Kerns SJ, Shaket LA, Siraj L, Collins JJ, Way JC, Silver PA. Programmable bacteria detect and record an environmental signal in the mammalian gut. Proc Natl Acad Sci. 2014;111:4838–43.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  89. Leonard N, Bishop A, Polak J, Talbot I. Expression of nitric oxide synthase in inflammatory bowel disease is not affected by corticosteroid treatment. J Clin Pathol. 1998;51:750–3.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  90. Kimura H, Miura S, Shigematsu T, Ohkubo N, Tsuzuki Y, Kurose I, Higuchi H, Akiba Y, Hokari R, Hirokawa M. Increased nitric oxide production and inducible nitric oxide synthase activity in colonic mucosa of patients with active ulcerative colitis and Crohn’s disease. Dig Dis Sci. 1997;42:1047–54.

    Article  CAS  PubMed  Google Scholar 

  91. Maeda H, Akaike T. Nitric oxide and oxygen radicals in infection, inflammation, and cancer. Biochem C/C Biokhim. 1998;63:854–65.

    CAS  Google Scholar 

  92. Archer EJ, Robinson AB, Süel GrM. Engineered E. coli that detect and respond to gut inflammation through nitric oxide sensing. ACS Synthetic Biol. 2012;1:451–7.

    Article  CAS  Google Scholar 

  93. Khan A, Schuler M, Prior M, Yong S, Coppock R, Florence L, Lillie L. Effects of hydrogen sulfide exposure on lung mitochondrial respiratory chain enzymes in rats. Toxicol Appl Pharmacol. 1990;103:482–90.

    Article  CAS  PubMed  Google Scholar 

  94. Nicholls P, Kim J-K. Sulphide as an inhibitor and electron donor for the cytochrome c oxidase system. Can J Biochem. 1982;60:613–23.

    Article  CAS  PubMed  Google Scholar 

  95. Petersen LC. The effect of inhibitors on the oxygen kinetics of cytochrome c oxidase. Biochem Biophys Acta. 1977;460:299–307.

    CAS  PubMed  Google Scholar 

  96. Simmonds N, Rampton D. Inflammatory bowel disease—a radical view. Gut. 1993;34:865.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  97. Riglar DT, Baym M, Kerns SJ, Niederhuber MJ, Bronson RT, Kotula JW, Gerber GK, Way JC, Silver PA. Long-term monitoring of inflammation in the mammalian gut using programmable commensal bacteria. BioRxiv. 2016. https://doi.org/10.1101/075051.

    Article  Google Scholar 

  98. Daeffler KNM, Galley JD, Sheth RU, Ortiz-Velez LC, Bibb CO, Shroyer NF, Britton RA, Tabor JJ. Engineering bacterial thiosulfate and tetrathionate sensors for detecting gut inflammation. Mol Syst Biol. 2017;13:923.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  99. Kerry RG, Patra JK, Gouda S, Park Y, Shin H-S, Das G. Benefaction of probiotics for human health: a review. J Food Drug Anal. 2018;26:927–39.

    Article  CAS  Google Scholar 

  100. Lee E-S, Song E-J, Nam Y-D, Lee S-Y. Probiotics in human health and disease: from nutribiotics to pharmabiotics. J Microbiol. 2018;56:773–82.

    Article  PubMed  Google Scholar 

  101. Sanders M, Merenstein D, Merrifield C, Hutkins R. Probiotics for human use. Nutr Bull. 2018;43:212–25.

    Article  Google Scholar 

  102. Huang S, Vignolles M-L, Chen XD, Le Loir Y, Jan G, Schuck P, Jeantet R. Spray drying of probiotics and other food-grade bacteria: a review. Trends Food Sci Technol. 2017;63:1–17.

    Article  CAS  Google Scholar 

  103. Garcia V, Knoll L, Longo M, Novaes V, Assem N, Ervolino E, de Toledo B, Theodoro L. Effect of the probiotic Saccharomyces cerevisiae on ligature-induced periodontitis in rats. J Periodontal Res. 2016;51:26–37.

    Article  CAS  PubMed  Google Scholar 

  104. Safari R, Adel M, Lazado CC, Caipang CMA, Dadar M. Host-derived probiotics Enterococcus casseliflavus improves resistance against Streptococcus iniae infection in rainbow trout (Oncorhynchus mykiss) via immunomodulation. Fish Shellfish Immunol. 2016;52:198–205.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

This work was supported by the National Key Research and Development Program of China (2018YFA0901800 and 2018YFA0901400), the National Natural Science Foundation of China (21908003, 21636001 and 21776008), the Fundamental Research Funds for the Central Universities (buctrc201911) and the China Postdoctoral Science Foundation (2019M650454).

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ZZ and JW overall coordinated and wrote the manuscript. XC and HS interpreted of illustrations and other information. XShen and SSun participated in manuscript design. JW, YY and QY revised the manuscript. All authors read and approved the final manuscript.

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Zhou, Z., Chen, X., Sheng, H. et al. Engineering probiotics as living diagnostics and therapeutics for improving human health. Microb Cell Fact 19, 56 (2020). https://doi.org/10.1186/s12934-020-01318-z

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