Targeted Antimicrobial Agents as Potential Tools for Modulating the Gut Microbiome.

The gut microbiome plays a pivotal role in maintaining the health of the hosts; however, there is accumulating evidence that certain bacteria in the host, termed pathobionts, play roles in the progression of diseases. Although antibiotics can be used to eradicate unwanted bacteria, the side effects of antibiotic treatment lead to a great need for more targeted antimicrobial agents as tools to modulate the microbiome more precisely. Herein, we reviewed narrow-spectrum antibiotics naturally made by plants and microorganisms, followed by more targeted antibiotic agents including synthetic peptides, phage, and targeted drug delivery systems, from the perspective of using them as potential tools for modulating the gut microbiome for favorable effects on the health of the host. Given the emerging discoveries on pathobionts and the increasing knowledge on targeted antimicrobial agents reviewed in this article, we anticipate targeted antimicrobial agents will emerge as a new generation of a drug to treat microbiome-involved diseases.

Introduction

The mammalian gut microbiome plays a pivotal role in maintaining stable gut physiology and organism homeostasis. The roles of individual bacterial species in the human gut microbiome have been studied since early 1900, and have been greatly accelerated by the advance in sequencing technology since the mid-2000s. There is accumulating evidence that some commensal species play beneficial roles in maintaining health in the host while some other species, termed pathobionts, play in detrimental ways.

Pathobionts often refer to symbiotic bacteria with pathogenic potential that contribute to the progression of a disease, but have not yet been recognized as pathogens (see review: Chow et al., 2011; Gill and Rosenbaum, 2020; Chandra et al., 2021). For example, Fusobacterium nucleatum, an oral symbiotic bacterium was demonstrated as a pro-carcinogenic bacterium in colorectal cancer (CRC; Brennan and Garrett, 2019; Yachida et al., 2019; Slade, 2021). Enterotoxigenic Bacteroides Fragilis (ETBF) which is associated with inflammatory bowel disease and CRC in humans, contributes to colitis and carcinogenesis in mouse models (Chung et al., 2018; Cao et al., 2021). The pks that produces the genotoxic colibactin was shown to drive tumorigenesis in mouse models, human mini-guts, and CRC patients (Pleguezuelos-Manzano et al., 2020; Iftekhar et al., 2021). Gut pathobionts and their related diseases are summarized in Figure 1.

Figure 1

Gut pathobionts and their related diseases. CRC: colorectal cancer; CD: Crohn’s disease; UC: ulcerative colitis.

For pathobiont-promoted diseases, pathobionts can serve as therapeutic targets. Antibiotics are the first-line consideration for treating bacterial infection; however, antibiotic treatment has many side effects, including secondary infections, digestive problems, and the emergence of antibiotic-resistant bacteria. Therefore, there is a great need for tools that can be used to modulate the microbiome more precisely. Such tools would make pathobionts “manageable” and their related diseases preventable with minimal side effects. In this review, we summarized five categories of targeted antimicrobial agents that they are promising to be developed as tools for modulating the gut microbiome to achieve favorable outcomes in the host. We first reviewed narrow-spectrum antimicrobial agents made by plants and microorganisms, followed by more targeted antimicrobial agents including synthetic antimicrobial peptides, phage, and targeted drug delivery systems.

Narrow-Spectrum Antimicrobial Agents From Plants

Narrow-spectrum antimicrobial agents are active on a limited range of bacteria while leaving a wide range of bacteria unharmed. For example, berberine, a quaternary ammonium alkaloid made by plants including Chinese goldthread (Coptis chinensis Franch.), showed antimicrobial activity on Staphylococcus aureus, Streptococcus pneumoniae, Enterococcus faecium, Bacillus dysenteriae, Shigella flexneri, and Helicobacter pylori, and showed no antimicrobial activity on a wide range of bacteria that span across multiple phyla, including Staphylococcus epidermidis, Escherichia coli, Klebsiella pneumoniae, Acinetobacter Baumanni, Enterobacter cloacae, Proteus mirabilis, Bifidobacterium longum and Lactobacillus casei (Lin Yuan and Jian-Dong, 2018).

Not surprisingly, the oral intake of berberine resulted in an altered microbiome in the hosts. Interestingly, in addition to the alteration of the microbiome, berberine and its derivatives were shown to have broad effects on the health or progression of diseases in the hosts, suggesting the link between the effects of berberine and the altered microbiome.

Berberine as a Tool for Modulating the Gut Microbiome

Although berberine sometimes affects the host’s health by directly interacting with host targets (Ren et al., 2021), there is emerging evidence that berberine’s effects are mediated by the gut microbiome (see review: Zhang et al., 2020a; Cheng et al., 2021). For example, berberine attenuated choline-induced atherosclerosis in a mouse model by down-regulating the bacterial production of trimethylamine, a pro-atherosclerosis molecule produced by the gut microbiome (Li et al., 2021). In another mouse model, berberine ameliorated the ovariectomy-induced anxiety-like behaviors by enriching the quote-generating gut microbiome (Fang et al., 2021a). Further, a study on human revealed the antidiabetic effect of berberine on type 2 diabetes is mediated by the inhibition of Ruminococcus bromii, which break down a type of secondary bile acid that contributes to glycemic control (Zhang et al., 2020b).

Other Plant Ingredients

Besides berberine, polyphenols, a type of compound made by plants, also showed narrow-spectrum antimicrobial activity in vitro (see review: Gonzalez-Lamothe et al., 2009). Similar to berberine, oral intake of polyphenols also has beneficial effects on multiple diseases of the host while altering the gut microbiome in the host. These diseases include colitis-associated colorectal cancer, cardiovascular disease, and obesity (Gowd et al., 2019; Martinet et al., 2019; Jennings et al., 2021; Rufino et al., 2021; Zhao and Jiang, 2021). Given the accumulating association between polyphenols’ effects on health and the gut microbiome modulation, it is likely that the beneficial effects of polyphenols are mediated by the gut microbiome, although further study is required to reveal the roles of the gut microbiome in these effects.

In addition to determining ingredients like berberine and polyphenols, some plant extracts showed narrow-spectrum antibacterial activity in vitro. For example, ethanolic extracts of Passiflora mollissima, which are rich in several phytochemicals, including alkaloids, saponins, essential oils, carotenoids, and anxiolytic, showed selective activity against in vitro cultured strains of Streptococcus mutans, Streptococcus oralis, and Streptococcus sanguiniss (Adrián Calderon et al., 2019), although the active ingredients are yet to known.

Narrow-Spectrum Antimicrobial Agents From Microorganisms

Antimicrobial peptides (AMPs) are produced by a broad spectrum of organisms including microorganisms, plants, insects, and vertebrates. Animal AMPs are essential components of the innate immune system, and often have broad-spectrum antimicrobial activity (Ostaff et al., 2013; Sivieri et al., 2017; Aresti Sanz and El Aidy, 2019). In contrast, bacterial AMPs, termed bacteriocins, often exhibit a limited spectrum of antimicrobial activity, effective on bacteria that are phylogenetically related to the bacteriocin-producing bacteria (Meade et al., 2020).

Most bacteriocins kill target bacteria by pore formation on the membrane of the victims (Kumariya et al., 2019), and other mechanisms include killing by condensation of genomic DNA or inhibition of cell wall synthesis (Mengxin Geng and Smitha, 2018; Qin et al., 2019). Bacteriocins are mainly categorized into three classes, based on their structural and physicochemical properties: Class I, Class II, and Class III. Class I bacteriocins belong to ribosomally synthesized and post-translationally modified peptides (RiPPs). They are also known as lantibiotics because they contain the unusual amino acids, lanthionine, and methyllanthionine. Class I bacteriocins often exhibit broad-spectrum antimicrobial activities. In contrast, Class II bacteriocins are predominantly unmodified peptides (Soltani et al., 2021), and often showed narrow-spectrum antimicrobial activity (Moll et al., 1999; Ríos Colombo et al., 2019). They are first synthesized as prebacteriocins with an N-terminal leader, and the leader is later removed during the process of secretion. For example, rhamnocin 519 showed a narrow-spectrum antibacterial activity against Listeria monocytogenes and S. aureus (Jeong and Moon, 2015). Class III bacteriocins are heat-labile, high molecular weight antibacterial proteins. For example, geobacillin 26 has a narrow antibacterial spectrum against some thermophilic bacteria (Vaičikauskaitė et al., 2019). To target pathobionts in the gut with minimum collateral damage to gut normal flora, narrow-spectrum bacteriocins are more favorable than broad-spectrum bacteriocins. A list of Class II bacteriocins that exhibit the narrow spectrum of antimicrobial activities is summarized in Table 1.

Table 1

Selective antimicrobial activity of class II bacteriocins.

Bacteriocins	Sensitive bacteria	Resistant microorganism	Origin	References
Piscicolin	Listeria monocytogenes	Gram-negative bacteria	Carnobacterium maltaromaticum	Martin-Visscher et al., 2011
Mesenterocin	Listeria monocytogenes Carnobacterium divergen Enterococcus faecium Lactobacillus plantarum Lactobacillus sakei Pediococcus acidilactici Pediococcus pentosaceus	Lactococci, Lactobacilli	Leuconostoc mesenteroides	Osmanagaoglu and Kiran., 2011
Leucocin	Listeria monocytogenes Lactobacillus sakei Lactobacillus formosensis Lactococcus lactis Entercoccus durans	Weissella hellenica Lactococcus garvieae Staphylococcus aureus Acinetobacter baumannii Escherichia coli Bacillus thuringiensis Bacillus subtili	Leuconostoc pseudomesenteroides	Chen et al., 2018
Curvacin	Listeria monocytogenes Lactobacillus paracasei Lactobacillus sakei Enterococcus faecium Bacillus cereus	Staphylococcus aure Salmonella typhimurium Klebsiella pneumonia Escherichia coli Saccharomyces cerevisiae Candida pseudotropicalis Penicillium roqueforti	Lactobacillus curvatus Lactobacillus sakei	Ahmadova et al., 2013
Curvaticin	Staphylococcus aureus Enterococcus faecalis Listeria monocytogenes	Lactococcus lactis	Lactobacillus curvatus	Bouttefroy et al., 2000
Garvicin ML	Lactobacillus casei, Lactobacillus sakei, Pediococcus acidilactici, Enterococcus faecium	Pseudomonas fluorescens, Escherichia coli, Salmonella paratyphi	Lactococcus garvieae	Borrero et al., 2011
Leucocyclicin Q	Lactococcus lactis subsp. lactis, Lactobacillus sakei subsp. sakei, Weissella paramesenteroides, Pediococcus dextrinicus	Staphylococcus aureus subsp. aureus	Leuconostoc mesenteroides	Masuda et al., 2011
Lactocyclicin Q	Pediococcus extrinicus, Lactococcus lactis subsp. lactis, Lactobacillus sakei subsp. sakei, Bacillus coagulans	Streptococcus mutans	Lactococcus sp. strain	Masuda et al., 2011
Carnocyclin A	Brochothrix campestris, Enterococcus faecalis, Lactococcus lactis subsp. lactis	Escherichia coli, Pseudomonas aeruginosa, Salmonella enterica	Carnobacterium maltaromaticum	Borrero et al., 2011
Avicin A	Carnobacterium divergens, Enterococcus avium, Enterococcus faecalis, Leuconostoc lactis	Lactobacillus plantarum, Leuconostoc gelidum, Pediococcus acidilactici	Enterococcus avium	Birri et al., 2010
Laterosporulin10	Bacillus subtilis, Staphylococcus aureus, Mycobacterium tuberculosis	Bacillus subtilis, Vibrio cholerae, Escherichia coli, Pseudomonas aeruginosa	Brevibacillus sp. strain	Baindara et al., 2016

In addition to bacteriocins, many fungi and bacteria secrete antimicrobial secondary metabolites. Unlike many broad-spectrum antibiotics that are used in preventing infectious diseases, some secondary metabolites exhibit selective antimicrobial activity, some of which are summarized in Table 2.

Table 2

Selective antimicrobial activity of bacterial secondary metabolites.

Metabolites	Sensitive bacteria	Resistant microorganism	Origin	References
Tyromycin A	Bacillus subtilis	MRSAStaphylococcus aureus, Micrococcus luteus	Skeletocutis sp.	Chepkirui et al., 2019
Aspergyllone	Candida parapsilosis	Pseudomonas aeruginosa Staphylococcus aureus Escherichia coli Candida albicans, Candida krusei Candida glabrata, Candida utilis	Aspergillusniger Tiegh	Padhi et al., 2020
Anthraquinone dimmers (compounds 1 and 2)	Staphylococcus aureus	Escherichia coli Salmonella typhimurium Klebsiella aerogenes Enterobacter cloacae Pseudomonas aeruginosa	unidentified fungal strain INF16–17	Li et al., 2019
P. herqueiextract	Staphylococcus aureusMRSA	Candida albicans Candida glabrata Candida krusei Candida neformans Aspergillus fumigates Escherichia coli Pseudomonas aeruginosa Mycobacterium intracellulare	Penicillium herquei	Ferreira et al., 2017
Glycerol 1-hydroxy-2,5-dimethyl benzoate 1	MRSA	Mycobacterium tuberculosis Bacillu subtilis Pseudomonas aeruginosa Candida albicans	Verrucosis pora sp. strain MS 100047	Huang et al., 2016
Candida cibarius methanol extract	Enterococcus faecalis	Staphylococcus aureus Shigella sonnei Salmonella enteritidi Yersinia enterocolitica Bacillus cereus Listeria monocytogenes	Cantharellus cibarius Fr.	Kozarski et al., 2015

In contrast to berberine and polyphenols, the effects of oral intake of bacteria-derived antimicrobial agents on the alteration of the host-microbiome are not extensively studied; however, it would be interesting to test these narrow-spectrum antimicrobial agents from microorganisms as potential tools for modulating gut microbiome to achieve beneficial effects on the health of the host.

Synthetic Antimicrobial Peptides

Inspired by bacteriocins, synthetic AMPs have emerged since 1992 containing only leucine and lysine residues. The study field of synthetic AMPs was first focused on the observation of the correlation between the structural properties and the antimicrobial activities of AMPs (Fang et al., 2021b). During the past decade, three main parameters of AMPs have been revealed to play roles in their antimicrobial activities, which are (1) hydrophobicity, (2) cationic number, and (3) secondary structure. (1) Hydrophobicity contributes to the membrane-binding driving force, which is the main cause of the damage to target cell membranes. Hydrophobicity often determines antimicrobial potency and cell selectivity. For example, leucine and the more hydrophobic isoleucine are isomers. The interchange of them does not alter the structure of the peptide but increases the hydrophobicity. Accompanied by the increase of hydrophobicity, the antibacterial spectrum changed from Gram-negative only to both Gram-negative and Gram-positive bacteria, demonstrating hydrophobicity is one of the key parameters in determining the selectivity of bacteria (Chou et al., 2016). (2) Cationic number of AMPs is determined by cationic residues like arginine, lysine, and histidine, and the cationic number determines the affinity of AMPs to the negatively charged lipid head groups on the outer membrane of bacteria. (3) Secondary structures of AMPs are often determined by key amino acids including cystine and glycine. Cysteine residues, which can form disulfide bonds, are the prerequisite for cyclization and β-sheet (de Leeuw et al., 2007). Glycine, the smallest hydrophilic amino acid, determines the flexibility of local conformation of AMPs, which contributes to enhanced activity against Gram-negative bacteria (Wang et al., 2015). Notably, the selectivity of AMPs is often determined by the three main parameters mentioned above as well as bacterial factors, which provides a rationale for designing more targeted AMPs, termed specifically targeted antimicrobial peptides (STAMPs; Eckert et al., 2006; Yount et al., 2019).

For the past decade, STAMPs have been studied to kill specific pathogens while not affecting the normal flora (Phulen Sarma et al., 2018). As a peptide, STAMPs are highly flexible for adopting structural and functional amino acid groups (Roncevic et al., 2019), so that they can achieve a much narrower spectrum than natural narrow-spectrum antimicrobial agents reviewed above. STAMPs can be divided into three categories which are, respectively, reviewed below and illustrated in Figure 2, based on different rational designing strategies.

Figure 2

STAMPs can be divided into three categories. (A) Canonical STAMPs are usually discovered by screening a batch of peptides with various parameters including hydrophobicity, cationic number, and secondary structure. These parameters, as well as some bacterial factors, determine the affinity between the peptides and bacterial surfaces. Canonical STAMPs kill bacteria by insertion into the cell membrane, followed by self-oligomerization, pore formation, and cell membrane perturbation. (B) Peptide ligands as STAMPs. This category of STAMPs kills specific bacteria by competitively binding bacterial receptors of physiological importance against the natural ligands of the receptors, resulting in inhibition of important bacterial pathways and subsequential inhibition of bacterial growth. (C) Composite STAMPs consist of a targeted domain and a killing domain. The targeted domain binds to specific motifs on targeted bacteria, which directs the killing domain to kill bacteria in the same way as canonical STAMPs.

Canonical STAMPs

Canonical STAMPs kill bacteria by insertion into the cell wall surface, followed by self-oligomerization pore-forming, and perturbations in the cell wall (Guo et al., 2015; Maraming et al., 2019). The selectivity or antibiotic spectrum of STAMPs is mainly determined by the three main parameters. To better assist the designing of STAMPs with the desired antimicrobial spectrum, a comprehensive AMP database has been developed (Wang et al., 2009). Based on the AMP database, many STAMPs have been developed, including STAMPs against E. coli, Salmonella pullorum, Pseudomonas aeruginosa, and S. aureus (Mishra and Wang, 2012; Chou et al., 2019, 2021; Roncevic et al., 2019). In a mouse model, a pH-dependent STAMP was demonstrated to kill H. pylori in an acidic environment in the stomach with minimal toxicity to commensal bacteria in the gut (Xiong et al., 2017).

Peptide Ligands as STAMPs

Besides the designing strategy based on the AMP database, an alternative designing strategy has been developed. In this strategy, STAMPs were obtained by truncating the sequences from the natural protein ligands of the targeted bacterial receptor of important physiological importance. The resulting STAMP then competitively inhibit the receptor and its downstream pathways. For example, the sequence of a STAMPs that binds to F. nucleatum FadA, was shortened from mammalian E-cadherin, the natural ligands of FadA (Rubinstein et al., 2013). The E-cadherin mimicking STAMP successfully inhibited the FadA-dependent F. nucleatum-induced tumor and inflammation in mouse models.

Composite STAMPs

The third designing strategy of STAMPs involves conjugating a preselected targeted peptide with a wide-spectrum AMP domain together (Lei et al., 2021), resulting in composite STAMPs with a targeted domain and a killing domain. For example, bacterial pheromones have been used as targeted domains in STAMPs against S. mutans, S. aureus, Enterococcus faecalis, and/or Streptococcus agalactiae (Qiu et al., 2003; Huo et al., 2018; Li et al., 2020; Xu et al., 2020). Furthermore, a cell wall precursor lipid II binding peptide, screened from a library of phage, was used as a targeted domain in a STAMP that specifically killed some clinic-isolated strains of vancomycin-resistant bacteria (Hart et al., 2017).

Strategies to Improve the Stability of STAMPs in the Gut

Although in two clinical trials, AMPs have been used to eliminate specific microorganisms in oral cavity and stomach with minimal impact on other commensal bacteria (Sullivan et al., 2011; Xiong et al., 2017), there are no report regarding AMPs targeted on specific bacteria in intestine and colon. One of the challenges in utilization of STAMPs is the proteolytic degradation of STAMPs that occurs in the digestive systems (Hashemi et al., 2018; Bhattacharjya and Straus, 2020). Several strategies have been exploited to improve the stability of AMPs in the gut. Coating is a frequently used strategy. For example, an AMP aiming to treat Clostridioides difficile infection is coated with a layer of pectin and hydroxypropyl methyl cellulose, which can protect the AMP against proteolytic enzymes from intestinal digestive enzymes, and release the AMP when encountering pectinolytic enzymes in the colon (Ugurlu et al., 2007). Another strategy is to design STAMPs that are capable to self-assemble into nanoscale particles, which exhibit high stability against enzymatic degradation (Eskandari et al., 2017; Chen and Zou, 2019; Tan et al., 2021). Besides, the introduction of D-amino acids, cyclization, amidation, or acetylation of the terminal regions are also applied to improve proteolytic stability (Dijksteel et al., 2021).

Utilization of Bacteriophage

Utilization of Naturally Occurring Bacteriophages

Bacteriophages attach to the very specific receptors on the surface of bacteria such as lipopolysaccharide, lipoteichoic acid, capsular polysaccharide, flagella, and pili before killing them (Hsu et al., 2021), and therefore is a highly targeted antimicrobial agent (Carasso et al., 2020). Phages have been historically used to eradicate bacterial pathogens and were recently used as a potential strategy to treat diseases by the precise killing of target bacteria (Mccarville et al., 2016; Wahida et al., 2021; Zhang et al., 2021). For example, Duan et al reported the bacteriophage that targets cytolytic E. faecalis decreased cytolysin in the liver and abolished ethanol-induced liver disease in humanized mice (Duan et al., 2019; Colakoglu et al., 2020).

Phage is so selective on targets that a phage strain is usually effective on only one strain of a bacterial species; however, the mixture of multiple phage strains, termed phage cocktails, provide a solution to achieve desired-spectrum phage therapies (Villarroel et al., 2017; Gordillo et al., 2019). For example, an optimized 4-phage cocktail against Clostridium difficile eradicated C. difficile in 24 h, without affecting commensal gut microbes (Nale et al., 2018).

Phage-Guided Therapies

Besides the utilization of phages alone, phages have been used as a motif to synthesize phage-guided antimicrobial agents (Gu Liu et al., 2020; Morrisette et al., 2020). For example, the antibiotics linezolid conjugated with a lytic phage, was more effective than each part alone in treating MRSA infections of diabetic foot ulcers in an S. aureus infection murine model (Chhibber et al., 2013). Phage was also used in guiding silver nanoparticles in targeting F. nucleatum (Xue Dong et al., 2020).

Targeted Drug Delivery System

The concept of a targeted drug delivery system is frequently used in anti-cancer drugs. A targeted drug delivery system usually consists of a targeted unit and a cargo unit. The targeted units offer high ligand-binding efficiency to the targeted tissue or cells and the cargo units are the bioactive drugs, sometimes loaded inside vehicles like nanoparticles and liposomes (Hussein and Abdullah, 2021). Recently, a targeted drug delivery system has been also employed in the field of specific antimicrobial agents. In a recent study, an intracellular antibiotic delivery system has been developed. The delivery system is composed of three parts: (1) mesoporous silica nanoparticles loaded with gentamicin, (2) lipid bi-layer envelops that would disseminate upon contact of S. aureus hemolysins, and (3) S. aureus-targeting domain truncated from a previously reported AMP, ubiquicidin 29–41. This delivery system works well in killing S. aureus and eliminating the S. aureus-induced inflammation in a mouse model (Yang et al., 2018). In another drug delivery system, lipid nanoparticles loaded with antibiotic was conjugated with an S. aureus-targeting antibody. The resulting system showed enhanced in vitro bactericidal activity against S. aureus both in planktonic and biofilm forms (Le et al., 2021).

Discussion

The knowledge of narrow-spectrum antimicrobial agents has been greatly advanced in the past decade (see review: Fong et al., 2016; Maxson and Mitchell, 2016; Romani-Perez et al., 2017; George Kerry et al., 2018; Riglar and Silver, 2018; Alm and Lahiri, 2020; Altarac et al., 2021; Avis et al., 2021; Fuenzalida et al., 2021). Notably, some narrow-spectrum antimicrobial agents have entered clinical trials, mainly to combat bacteria associated with antibiotic resistance, such as Acinetobacter baumannii, S. aureus, P. aeruginosa, and E. coli (see review: Alm and Lahiri, 2020). In this article, we reviewed narrow-spectrum antimicrobial agents from the aspect of using them as a microbiome-modulating tool especially to limit pathobionts in the gut.

Among all natural narrow-spectrum antibiotic agents, berberine is the most well studied in its effects on the health of the host and the alteration of the gut microbiome. Although the key pathobionts in many diseases are not identified, there is emerging evidence that the favorable effects of berberine on health are mediated by modulating the gut microbiome, suggesting the existence of uncovered pathobionts in these diseases. Besides berberine, there are many other narrow-spectrum antibiotic agents naturally made by plants and bacteria, which may serve as tools to modulate the gut microbiome in the host. It would be interesting to investigate their effects on the health of the host and the role of fan-altered microbiome in these effects.

Among the five categories of antimicrobial agents reviewed in this article, STAMPs, phages, and targeted drug delivery systems can be designed to precisely target these pathobionts without disturbing normal flora in the gut. These strategies have the potential to achieve a higher level of precision on targeted bacteria than natural narrow-spectrum antimicrobial agents.

Besides the strategies reviewed in this article, probiotic and engineered bacteria have also been explored in modulating the gut microbiome. Effects of probiotics on the gut microbiome have been extensively reviewed (George Kerry et al., 2018; Fuenzalida et al., 2021) and engineered bacteria is a complicated topic. When designing such engineered bacteria, multiple factors need to be considered including the selection of chassis bacteria, control circuits, secretion strategies, and payload proteins (see review: Mays and Nair, 2018; Aggarwal et al., 2020; Brennan, 2021; Lynch et al., 2022; Shen et al., 2022).

For the pathobionts-targeting therapeutics, the detection of pathobionts is a challenge. One of the best detection methods of pathobionts is qPCR against their “virulence factors.” For example, the detection of Enterotoxigenic Bacteroides fragilis (ETBF) can be based on the qPCR of B. fragilis toxin (BFT) or fragilysin. As such, the understanding of the pathogenicity of pathobionts is crucial for developing detection methods. This is different from classical pathogens, in which a full understanding of the pathogenicity is often not required to develop detection methods against them.

To conclude, given the emerging discoveries on pathobionts and their pathogenesis, we expect as our knowledge of the human microbiome increases targeted antimicrobial agents will emerge as a new generation of drugs to treat microbiome-involved diseases.

Author Contributions

All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication.

Funding

This work is supported by the National Key Research and Development Program of China (2020YFA0907800), Shenzhen Science and Technology Innovation Program (KQTD20200820145822023), and the National Natural Science Foundation of China (Grant Nos. 31900056 and 32000096).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.