Skip to main content
Infection and Immunity logoLink to Infection and Immunity
. 2024 Apr 9;92(5):e00440-23. doi: 10.1128/iai.00440-23

Progress toward a vaccine for extraintestinal pathogenic E. coli (ExPEC) II: efficacy of a toxin-autotransporter dual antigen approach

Yikun Xing 1,2, Justin R Clark 1,2, James D Chang 1,2, Jacob J Zulk 1,2, Dylan M Chirman 1,2, Felipe-Andres Piedra 1, Ellen E Vaughan 1, Haroldo J Hernandez Santos 1,2, Kathryn A Patras 1,3, Anthony W Maresso 1,2,
Editor: Kimberly A Kline4
PMCID: PMC11075464  PMID: 38591882

ABSTRACT

Extraintestinal pathogenic Escherichia coli (ExPEC) is a leading cause of worldwide morbidity and mortality, the top cause of antimicrobial-resistant (AMR) infections, and the most frequent cause of life-threatening sepsis and urinary tract infections (UTI) in adults. The development of an effective and universal vaccine is complicated by this pathogen’s pan-genome, its ability to mix and match virulence factors and AMR genes via horizontal gene transfer, an inability to decipher commensal from pathogens, and its intimate association and co-evolution with mammals. Using a pan virulome analysis of >20,000 sequenced E. coli strains, we identified the secreted cytolysin α-hemolysin (HlyA) as a high priority target for vaccine exploration studies. We demonstrate that a catalytically inactive pure form of HlyA, expressed in an autologous host using its own secretion system, is highly immunogenic in a murine host, protects against several forms of ExPEC infection (including lethal bacteremia), and significantly lowers bacterial burdens in multiple organ systems. Interestingly, the combination of a previously reported autotransporter (SinH) with HlyA was notably effective, inducing near complete protection against lethal challenge, including commonly used infection strains ST73 (CFT073) and ST95 (UTI89), as well as a mixture of 10 of the most highly virulent sequence types and strains from our clinical collection. Both HlyA and HlyA-SinH combinations also afforded some protection against UTI89 colonization in a murine UTI model. These findings suggest recombinant, inactive hemolysin and/or its combination with SinH warrant investigation in the development of an E. coli vaccine against invasive disease.

KEYWORDS: ExPEC, sepsis, vaccines

INTRODUCTION

Extraintestinal pathogenic Escherichia coli (ExPEC) represents the most prevalent Gram-negative bacterial pathogen and is a primary contributor to mortality due to antimicrobial resistance (AMR) globally (both deaths attributable to and associated with AMR) (1, 2). ExPEC comprises the pathotypes of uropathogenic E. coli (UPEC), neonatal meningitis E. coli, and septicemia-associated isolates (3). ExPEC is the primary cause of bacteremia and urinary tract infections (UTIs) and a frequent cause of neonatal meningitis (4, 5). In the United States, over 970,000 sepsis cases are admitted annually, with an 8.7% yearly increase in incidence among hospitalized patients, accounting for over 50% of hospital deaths (6, 7). Based on the Centers for Disease Control and Prevention (CDC) multiple cause-of-death data (1999–2014), 6% of all deaths involved sepsis, 22% of these cases listing sepsis as the underlying cause (8). Moreover, in 2017, approximately 48.9 million new cases of sepsis were recorded globally, with 11 million sepsis-related deaths reported, accounting for 19.7% of all worldwide deaths (9). In addition, sepsis management remains a major challenge for healthcare systems worldwide, resulting in a disproportionately high burden in terms of cost and hospital resource utilization. In the United States, sepsis management costs surpass those for any other disease, exceeding $24 billion in 2013, representing 13% of total hospital expenses and growing at three times the rate of other admissions (10). E. coli has emerged as the predominant causative agent of bloodstream infections (BSIs) in both community and hospital settings over the past decade, accounting for 27.1% of all bacteremia cases. Moreover, the incidence rate of E. coli bacteremia is estimated at 48 per 100,000 person-years, exhibiting a notable increase with advancing age (11).

Next to their virulence, the second concerning feature of ExPEC is they are a leading cause of AMR, which frequently results in treatment failure, increased hospitalization rates, and exacerbated morbidity and mortality. A recent review assessing the global burden of bacterial AMR across 204 countries and territories identified antibiotic-resistant pathogenic E. coli as a primary cause of mortality associated with drug resistance, accounting for approximately 200,000 deaths due to antimicrobial-resistant E. coli and around 800,000 deaths linked to AMR E. coli in 2019 (2). The CDC reports that over two million people in the United States contract antibiotic-resistant diseases annually, with AMR contributing an additional $20 billion to direct healthcare costs and roughly $35 billion in lost productivity each year (12). Furthermore, other studies found that antimicrobial-resistant ExPEC infections impair the capacity of the immune system to clear infections, including complications in patients following prostate biopsy (13), solid organ transplant (14, 15), or undergoing chemotherapy, dialysis, surgery, and joint replacement (12). The recent emergence of a sequence type (ST) 131 (ST131), which combines both pan resistance with high levels of virulence, has become globally disseminated (16). Furthermore, ST131 E. coli isolates maintain a balance between colonization, virulence, and antibiotic resistance without incurring a fitness cost, attributed to their distinct virulence profiles and expanded number of virulence genes compared to non-ST131 isolates (17, 18). In the United States, ST131 significantly contributes to the resistance of clinical E. coli isolates, accounting for approximately 70% of fluoroquinolone-resistant strains and over 50% of MDR isolates (1921). Other sequence types, such as ST95 and 73, also remain prevalent and well-recognized as highly pathogenic ExPEC strains among clinical isolates in patients with UTIs and BSIs (22, 23).

A vaccine against ExPEC is expected to reduce morbidity and mortality and help mitigate the AMR crisis. Over the past few decades, numerous groups have pursued protective immunity against ExPEC through various strategies, including the use of inactivated bacteria (2428), bacterial lysates (29, 30), or O-specific polysaccharide (O-antigen) conjugate vaccines (3133). Also, flagellin protein-based vaccines such as FliC (3436) or fimbrial-based vaccines such as FimH (from type 1 fimbriae) (37) and other fimbrial or non-fimbrial-based vaccines, such as adhesin FdeC (38), PapG fimbrial adhesin (39), and Dr fimbriae (40) have also been studied. Furthermore, proteins involved in iron acquisition (IroN, lutA, IreA, FyuA, and siderophores) (4149) and toxin-based products such as insoluble α-hemolysin or CNF1 (cytotoxic necrotizing factor 1) (5052) have also been considered. Moreover, in a series of clinical trials, researchers investigated the efficacy and safety of SolcoUrovac (a whole-cell vaccine comprising heat-killed bacteria from 10 uropathogenic strains) or Uro-Vaxom (OM-89, a bacterial extract prepared from 18 uropathogenic E. coli strains) in vaginal mucosal immunization against recurrent UTIs and demonstrated the beneficial effects in women (5357). Another clinical trial example is ExPEC4V, a tetravalent O-polysaccharide conjugate vaccine, has elicited functional antibody responses and is currently in the phase 2 randomized controlled trial (5863). Additionally, the ExPEC10V bioconjugate vaccine also demonstrated both tolerability and immunogenicity in elderly adults (64). However, the high heterogeneity of O-specific polysaccharides may limit the development of a polysaccharide vaccine capable of preventing all ExPEC infections (59). At the moment, no ExPEC vaccine has been approved by the U.S. Food and Drug Administration.

The α-hemolysin (HlyA) is a critical and commonly detected secreted cytotoxic virulence factor in ExPEC, associated with upper UTIs such as cystitis or pyelonephritis (65). HlyA, a pore-forming toxin belonging to the RTX toxin family (repeats in toxin), exhibits cytotoxic activity against various species and cell types, potentially causing severe tissue damage (66). Additionally, HlyA can lyse erythrocytes and damage effector immune cells at high concentrations (67, 68), promote bladder epithelial cell exfoliation, and induce apoptosis in target host cells at low concentrations (69). Clinically, HlyA is linked to severe UTIs that can lead to renal complications and permanent renal scarring (70, 71) and may also cause endothelial damage and renal vasoconstriction (72). The hlyA gene exhibits high prevalence in clinical E. coli isolates from patients with bloodstream infections (7375), UTIs (7678), and pregnant women, reaching up to 61.5% in E. coli strains causing cystitis and 78.6% in strains causing pyelonephritis (79). Furthermore, an analysis of the hlyA gene distribution among major ExPEC clones revealed its prevalence was significantly higher in ST73 (64.6%) compared to ST131 (14.8%) and ST95 (13.5%) and was more frequently found in strains from phylogroup clades B and C (80, 81).

Considering the significance of HlyA in ExPEC pathogenesis and the high prevalence of hlyA sequence in clinical E. coli isolates, we sought to investigate the potential of pro-HlyA, the inactive precursor form of HlyA (82), as a vaccine candidate against ExPEC infections, with and without a previously reported autotransporter antigen showed to be highly protective (83). Here, we present data suggesting that both pro-HlyA and a pro-HlyA/SinH combinatorial mixture generates robust protection against various virulent and concerning sequence types of ExPEC strains in multiple murine infection models.

MATERIALS AND METHODS

Bacterial strains and culture conditions

The E. coli strains utilized in this study were obtained from a single colony grown on the Lysogeny Broth (LB) plate [10 g/L tryptone, 0.5 g/L sodium chloride (NaCl), and 5 g/L yeast extract]. Bacterial cultures were incubated at 37°C after resuscitation from a frozen stock. The ExPEC ST131 strains used in the study, JJ1886, JJ1901, JJ2050, JJ2528, and JJ2547, were kindly provided by James R. Johnson (84). UPEC strains UTI89 (O18:K1:H7, ST95) (85) and CFT073 (O6:K2:H1; ST73) (86) were kindly provided by Kathryn Patras. E. coli strains W0008 (ST127-like), W0044 (ST405-like), W0128 (ST648-like) were isolated from the blood or feces of hospitalized patients with bacteremia. The number of colony-forming units (CFU) administered was determined by correlating the optical density (OD) at 600 nm to the number of colonies observed after plating.

The hlyA sequence distribution and HlyA alignment

Complete E. coli genomes were obtained from NCBI’s RefSeq database (87) and sorted into phylogroups as previously reported (81). The sorted genomes were then categorized by sequence types using the MLST software (https://github.com/tseemann/mlst) which uses the PubMLST databases (https://pubmlst.org/) (88). The categorized genome database was then used as a custom BLAST (version 2.8.1) (8991) database to search for hits to the hlyA, hlyB, hlyC, and hlyD genes from the hly operon of E. coli UTI89 genome (accession: CP000243.1). To design Fig. 1A, the underlying phylogenetic tree diagram was created using the autoMLST software (92) in concatenated alignment mode with 1,000 UltraFast Bootstrap replicates using representative genomes from the 8 E. coli phylogroups. The representative phylogenetic diagram was then overlaid with pie charts created in GraphPad Prism using BLAST hit results. Finally, the figures were combined using Biorender. All software used default settings unless otherwise specified. Open reading frames that overlapped with BLAST hits (described above) were extracted and translated using the bacterial translation code (translation table 11) in Geneious 2023.1.1. Translated HlyA sequences were then aligned using Geneious Alignment Software with free end gaps and otherwise default settings after truncated ORFs were removed. The resulting alignment was sorted by a phylogenetic tree annotation that was created using RXaML (version 8.1.1) with the GAMMA BLOSUM62 protein model and 100 Bootstrap replicates from the Rapid Bootstrap algorithm to create a consensus tree. Vibrio parahaemolyticus hemolysin A (accession: WP_041955411.1) was used as an outgroup.

Fig 1.

Fig 1

The ExPEC-associated genetical level of Hemolysin A, HlyA structure prediction, and the purification of pro-HlyA. An analysis of a database of 1,348 complete E. coli genomes that have been phylogenetically categorized shows that the hlyA sequence is predominantly found in ExPEC-associated sequence types of the B2 phylogroup. (A) Phylogenetic representation of hlyA sequence distribution. BLAST was used to compare the hlyA nucleotide sequence to a database of complete E. coli genomes from NCBI’s Genbank that had been sorted into phylogroups using a previously described in-house method and into sequence types using MLST software (https://github.com/tseemann/mlst). Pie charts were made using GraphPad Prism, and the final figure was created using Biorender. (B) Amino acid alignment of HlyA. Tickmarks represent disagreements with the majority consensus at that residue and are colored using the Rasmol coloring scheme. Open reading frames overlapping with BLAST hits for hlyA were translated, aligned using Geneious Alignment (Geneious 2023.1.1) and then sorted using a tree annotation. The phylogenetic tree annotation was created using RXaML (version 8.1.1) and represents a consensus tree from 100 Bootstrap replicates with Vibrio parahaemolyticus hemolysin A (accession: WP_041955411.1) used as an outgroup. (C) Overall predicted structure of HlyA. AlphaFold2 generated predicted structure shows three domains for HlyA with one linker: N-terminal helical domain (residues 1–279, red), three helix bundle (residues 321–437, blue), beta-helix C-terminal domain (residues 438–1023, green), and linker between N-terminal domain and helix-bundles (residues 280–320, gray). (D) Predicted structure of C-terminal beta helix domain. A large beta helix dominates the overall structure of this domain. Both N- and C-ends of the domain contain two beta strands and two alpha helices. (E) Plasmid pSU-hlyA (encoding the hlyA sequence) and plasmid pK184-hlyBD (encoding hlyB and hlyD sequence) were co-transformed into E. coli BL21 (DE3) cells. Bacterial cultures expressing the recombinant pro-HlyA antigen secreted the protein into the supernatant, which was subsequently harvested, filtered, and concentrated. The purified antigen was analyzed by SDS-PAGE and stained with Coomassie blue stain and silver stain. Predicted size of pro-HlyA, 110 kDa. The SDS-PAGE result was annotated using BioRender. (F) The coverage rate of pro-HlyA was determined by per-band sequencing through mass spectrometry.

Prediction of protein structure for HlyA with AlphaFold2

The nucleotide sequence of HlyA was used to recreate the translated amino acid sequence using ExPASy. All six possible reading frames (three forward, three backward) were generated, and the frame that matched the sequence for complete HlyA was used as the amino acid sequence for structure prediction. ColabFold’s AlphaFold2-Advanced Google Notebook (Google, Mountain View, CA) was used to generate predictions from amino acid sequences (93, 94). For multiple sequence alignment (MSA) necessary to build the consensus model for the structure of HlyA, we used MMseq2 (95, 96). Five prediction runs were performed, with each run using a randomly chosen initiation point for the start of prediction runs. These models were ranked using the following two metrics: (i) pLDDT (predicted LDDT-Cα) with its ability to quantify the confidence of model per residue calculated by utilizing distances between Cα atoms in multiple reference models and (ii) AlphaFold-generated PAE (Predicted Aligned Error) for every residue, a numerical value of expected position error per residue (93, 97). The model with the highest average pLDDT and lowest PAE was chosen as the best-predicted structure of HlyA, and AMBER Force Field was applied to relax the structure (98). The predicted structure was compared against the list of previously solved structures of RTX toxins deposited on PDB aligning spatial coordinates of models by domains (99, 100). Furthermore, Foldseek search was used to search for similar solved and AlphaFold-predicted structures on multiple databases (101, 102). Additionally, these structures were aligned with the predicted structure by UCSF ChimeraX’s alignment feature using the Needleman-Wunsch algorithm with BLOSUM-62 similarity matrix (103). ChimeraX was used for analyzing the structural features of the predicted model, determining local physical properties within domains, and visualizing the model.

Plasmid construction

The plasmid for the candidate vaccine antigen SinH-3 was constructed using a previously described method (83). The plasmids pSU-hlyA (encoded the candidate vaccine antigen pro-HlyA, Uniprot entry: P08715) and pK184-hlyBD (encoded the necessary transport complex components HlyB and HlyD) were kindly provided by Lutz Schmitt (82). The mRNA plasmid was constructed by cloning the SinH-3 gene from ExPEC sequence type 131 (ST131) strain JJ1887 genomic DNA (SinH-Ig-like domains-3, encoding the C-terminal passenger Ig-like domain-3 fragment of sinH, amino acid residues 602–724) and the pro-HlyA was cloned from E. coli (Uniprot entry: P08715). Both sequences (hlyA and sinH-3) were submitted to Creative Biolabs for constructing a sinH-3: hlyA mRNA construct with IL-2 signal peptide and P2A self-cleaved sequence, called pIVTScrip-mRNA-IL2-sig_hlyA-P2A-IL2-sig_sinH (hereinafter named Dual-Hit mRNA construct). The Dual-Hit mRNA constructs were further enclosed in Cationic Lipid Nanoparticle (Cationic Lipid Nanoparticle (SM-102/DSPC/Cholesterol/DMG-PEG = 50: 10: 38.5: 1.5) and stored in Tris-based buffer at –80°C.

Vaccine antigens preparation

The recombinant SinH-3 protein was expressed as fusions with glutathione-S-transferase (GST) using E. coli BL21(DE3) and purified as previously described (83). To purify the recombinant protein pro-HlyA, the plasmid pSU-hlyA, containing the C-terminal secretion signal of HlyA (Uniprot entry: P08715), and pK184-hlyBD, encoding HlyB and HlyD essential for the transport complex, were co-transformed into E. coli BL21(DE3) cells (82). A single pSU-hlyA and pK184-hlyBD co-transformed E. coli BL21(DE3) colony was used to inoculate a 300 mL flask containing 150 mL of Lysogeny broth (LB) medium and cultured overnight. The overnight culture was then used to inoculate a 2-L flask containing 800 mL of LB medium, which was grown at 37°C until it reached optical density at 600 nm (OD600) of 0.4–0.6. Gene expression was induced with 1 mM Isopropyl β-d-1-thiogalactopyranoside (IPTG) (Sigma-Aldrich, St. Louis, MO), and the culture was incubated overnight at 37°C and 150 rpm. Following induction, the supernatant containing secreted pro-HlyA protein was collected by centrifugation [Thermo Fisher Scientific, Sorvall RC 6+, SLA-3000 (Rotor), 10,000 × g for 30 min at 4°C] and filtered through the 0.22-µm Vacuum Driven Sterile Filters (Sigma-Aldrich, St. Louis, MO). The filtered supernatant was subsequently concentrated to 1 mL using Amicon Ultra-15 Centrifugal Filter Units (Millipore Sigma, Burlington, MA) with a 100 kDa molecular-weight cut-off. All antigens were analyzed by SDS-PAGE via Coomassie Brilliant Blue staining and Silver Stain (Pierce Silver Stain Kit, Thermo Fisher Scientific, Waltham, MA), and the expression of both purified proteins was confirmed by mass spectrometry as previously described (83). Both recombinant proteins were stored at −20°C until further use and handled at 4°C. The control group consisted of culturing a single untransformed E. coli BL21(DE3) colony only (hereinafter referred to as control supernatant). The resulting supernatant was collected and concentrated using the exact same procedure as that used for the purification of pro-HlyA above, and the supernatant control was also analyzed by SDS-PAGE via Coomassie Brilliant Blue staining and Silver Stain.

Experimental animals

Experimental animals used in this study were 6- to 8-week-old BALB/cJ mice obtained from Jackson Laboratories (Bar Harbor, ME). They were provided with sterile food and water ad libitum and housed in filtered cages with 3–4 mice per cage. All experimental procedures performed on mice were approved in accordance with relevant guidelines and regulations from “The Guide and Care and Use of Laboratory Animals” (National Institute of Health) and were approved by Baylor College of Medicine’s Institutional Animal Care and Use Committee under protocol number AN-5177.

Vaccination

For experiments involving protein-subunit vaccines, purified proteins were mixed with alum adjuvant (G-Bioscience, St. Louis, MO) in a 2:1 ratio of antigen to adjuvant, following the manufacturer’s guidelines. Female BALB/cJ mice (6- to 8-week-old) were given three subcutaneous injections (S.C) of either 50 µg of pro-HlyA or a mixture of SinH-3 and pro-HlyA (50 µg each) on days 0, 14, and 28. Control groups were either given vaccinations supernatant control samples [comprising the same volume of control supernatant (30 µL), described above, mixed with alum adjuvant (30 µL) (Fig. 2B, C and 3B, C) or left unvaccinated (Fig. 2E, F, G, 3E, F, G, 4B, C, D, 5B, C and 6B through D]. In experiments involving mRNA vaccines, 6-week-old male BALB/cJ mice were given three intramuscular injections (I.M) of either 2 µg Dual-Hit mRNA construct (low-dose group, 40 µL to one hind leg muscle), 5 µg Dual-Hit mRNA construct (high-dose group, 40 µL to one hind leg muscle) (104), or 50 µL of Tris-based buffer (control group).

Fig 2.

Fig 2

Evaluating the protective efficacy of pro-HlyA against UTI89 infections in the murine model of bacteremia and mortality. (A) The scheme of the murine bacteremia model using UTI89. Female BALB/cJ mice were subcutaneously immunized with either pro-HlyA (N = 16) or control supernatant (N = 16), followed by an intraperitoneal (I.P.) injection of 1 × 108 CFU of UTI89. After 16 h of infection, organs (kidney, spleen, liver) were harvested, homogenized, and plated to determine bacterial loads (CFU/mL). (B) Scatter plot with bar representing total UTI89 bacterial dissemination combining counts from all organs; (C) or the organ-specific UTI89 bacterial dissemination in each organ type post-necropsy. (D) The scheme of the murine mortality model using UTI89. Female BALB/cJ mice were subcutaneously immunized with pro-HlyA (N = 12) or left unvaccinated (N = 8), followed by an intraperitoneal (I.P.) injection of 5 × 107 CFU of UTI89. Mice were monitored twice daily for 10 days. The moribund or deceased mice were euthanized and necropsied to determine bacterial levels in organs (CFU/mL). Four moribund vaccinated mice were euthanized at 3 d.p.i., forming the 3 d.p.i. group (N = 4). All remaining survivors were euthanized at 10 d.p.i., forming the 10 d.p.i. group (N = 8). (E) The survival rate of pro-HlyA immunized mice after UTI89 infection was assessed using the Gehan-Breslow-Wilcoxon comparison. (F) Scatter plot with bar representing the total UTI89 bacterial dissemination combining counts from all organs at 3 d.p.i. and 10 d.p.i.; (G) or the organ-specific UTI89 bacterial dissemination in each organ type (combining counts from 3 d.p.i. and 10 d.p.i.) post-necropsy. Schemes were created in BioRender. Scatter plots with bars and Kaplan Meier survival curves were exported from Graphpad Prism and annotated using BioRender.

Fig 3.

Fig 3

Evaluating the protective efficacy of Dual-Hit against UTI89 infections in the murine model of bacteremia and mortality. (A) The scheme of the murine bacteremia model using UTI89. Female BALB/cJ mice were subcutaneously immunized with either Dual-Hit (N = 15) or control supernatant (N = 16), followed by an intraperitoneal (I.P.) injection of 1 × 108 CFU of UTI89. After 16 h post-infection, organs (kidney, spleen, liver) were harvested, homogenized, and plated to determine bacterial loads (CFU/mL). (B) Scatter plot with bar representing total UTI89 bacterial dissemination combining counts from all organs; (C) or the organ-specific UTI89 bacterial dissemination in each organ type post-necropsy. (D) The scheme of the murine mortality model using UTI89. Female BALB/cJ mice were subcutaneously immunized with Dual-Hit (N = 18) or left unvaccinated (N = 7), followed by an intraperitoneal (I.P.) injection of 5 × 107 CFU of UTI89. Mice were monitored twice daily for 10 days. The moribund or deceased mice were euthanized and necropsied to determine bacterial levels in organs (CFU/mL). Six moribund vaccinated mice were euthanized at 3 d.p.i., forming the 3 d.p.i. group (N = 6). All remaining survivors were euthanized at 10 d.p.i., forming the 10 d.p.i. group (N = 12). (E) The survival rate of Dual-Hit immunized mice after UTI89 infection was assessed using the Gehan-Breslow-Wilcoxon comparison. (F) Scatter plot with bar representing the total UTI89 bacterial dissemination combining counts from all organs at 3 d.p.i. and 10 d.p.i.; (G) or the organ-specific UTI89 bacterial dissemination in each organ type (combining counts from 3 d.p.i. and 10 d.p.i.) post-necropsy. Schemes were created in BioRender. Scatter plots with bars and Kaplan Meier survival curves were exported from Graphpad Prism and annotated using BioRender.

Fig 4.

Fig 4

Assessing the protective efficacy of pro-HlyA and Dual-Hit against CFT073 infections in the murine model of mortality. (A) The scheme of the murine mortality model using CFT073. Female BALB/cJ mice were subcutaneously immunized with pro-HlyA (N = 12), Dual-Hit (N = 12), or left unvaccinated (N = 12), followed by an intraperitoneal (I.P.) injection of 1 × 108 CFU of CFT073. Mice were monitored twice daily for 10 days. The moribund or deceased mice were euthanized and necropsied to determine bacterial levels in organs (kidney, spleen, liver, CFU/mL). Vaccinated mice that died of infection within 2 d.p.i. formed the 2 d.p.i. group for each vaccinated cohort (pro-HlyA, N = 9; Dual-Hit, N = 7). All remaining survivors were euthanized at 10 d.p.i., forming the 10 d.p.i. group for each vaccinated cohort (pro-HlyA, N = 3; Dual-Hit, N = 5). (B) Survival rates of pro-HlyA or Dual-Hit immunized mice following CFT073 infection were analyzed using the Gehan-Breslow-Wilcoxon comparison. (C) Scatter plot with bar representing the total CFT073 bacterial dissemination combining counts from all organs at 2 d.p.i. and 10 d.p.i.; (D) or the organ-specific CFT073 bacterial dissemination in each organ type (combining counts from 2 d.p.i. and 10 d.p.i.) post-necropsy. Schemes were created in BioRender. Scatter plots with bars and Kaplan Meier survival curves were exported from Graphpad Prism and annotated using BioRender.

Fig 5.

Fig 5

Evaluating the protective efficacy of pro-HlyA and Dual-Hit against UTI89 or CFT073 in the murine model of UTI. (A) The scheme of the murine UTI model using UTI89 or CFT073. Female BALB/cJ mice were subcutaneously immunized with pro-HlyA (N = 12/N = 12), Dual-Hit (N = 12/N = 12), or remained unvaccinated (N = 8/N = 12), followed by a transurethral injection of 1 × 108 CFU of UTI89 or CFT073. After 72 h post-infection, bladders were harvested, homogenized, and plated to determine bacterial loads (CFU/mL). (B) Scatter plot with bar representing bladder UTI89 bacterial dissemination; (C) or scatter plot with bar representing bladder CFT073 bacterial dissemination.

Fig 6.

Fig 6

Evaluating the protective efficacy of Dual-Hit against a mixture of 10 typical ExPEC strains infection in the murine model of mortality. (A) The scheme of the murine mortality model using a mixture of ten ExPEC strains. Female BALB/cJ mice were subcutaneously immunized with Dual-Hit (N = 22), or left unvaccinated (N = 24), followed by an intraperitoneal (I.P.) injection of 1 × 108 CFU (in total) of a mixture of 10 typical ExPEC strains. Mice were monitored twice daily for 10 days. The moribund or deceased mice were euthanized and necropsied to determine bacterial levels in organs (kidney, spleen, liver, CFU/mL). Two vaccinated mice that died of infection within 1 d.p.i. (N = 2) and four moribund vaccinated mice were euthanized at 3 d.p.i. (N = 4) formed the 3 d.p.i. group. All remaining survivors were euthanized at 10 d.p.i., forming the 10 d.p.i. group (N = 16). (B) Survival rates of Dual-Hit immunized mice following a mixture of 10 typical ExPEC strains infection were analyzed using the Gehan-Breslow-Wilcoxon comparison. (C) Scatter plot with bar representing the total bacterial dissemination of mixture of 10 typical ExPEC strains combining counts from all organs at 3 d.p.i. and 10 d.p.i.; (D) or the organ-specific bacterial dissemination of mixture of 10 typical ExPEC strains in each organ type (combining counts from 3 d.p.i. and 10 d.p.i.) post-necropsy. Schemes were created in BioRender. Scatter plots with bars and Kaplan Meier survival curves were exported from Graphpad Prism and annotated using BioRender.

Murine model of bacteremia

E. coli strains UTI89 were cultured under specified conditions 1 day prior to injection. On the day of injection (day 42), the strains were subcultured in LB broth at a ratio of 1:100 to an OD600 of approximately 0.6 (Log phase, ~1 × 108 CFU/mL), harvested by centrifugation (3,500 × g for 20 min at 4°C, Centrifuge 5702 R, Eppendorf North America, Framingham, MA), and suspended in an equivalent amount of 1 × PBS. Mice were intraperitoneally injected with 50 µL of the E. coli strain suspension (1 × 108 CFU) on day 42, and the inoculum was quantified by plating dilutions onto LB agar. After 16 h, mice were euthanized and necropsied to collect their kidney, spleen, and liver. The organs were homogenized in 1 mL 1 × PBS using a BeadBlaster Refrigerated Homogenizer (Benchmark Scientific Inc, Sayreville, NJ, USA), and the organ homogenates were plated on LB agar plates and incubated at 37°C to determine the number of bacteria or CFU per milliliter (mL).

Murine model of mortality

On the day before injection, E. coli strains UTI89 and CFT073 were grown under the specified conditions. On the day of injection (day 42), mice were intraperitoneally injected with 50 µL of either UTI89 (5 × 107 CFU) or CFT073 (1 × 108 CFU) suspension. Mice were closely monitored twice daily for 10 days to observe morbidity and mortality. Survival data were collected over time, and moribund or dead animals were euthanized and necropsied to determine bacterial levels in their kidney, spleen, and liver. The organs were homogenized and plated as described above. Moribundity was determined based on multiple observable features and the scoring system listed in the animal protocol (AN-5177), including rough coat, hunched posture, lethargy, and hyperpnea. The measurement of health scores and the scoring system were described in our previous paper (105).

Murine model of urinary tract infection

UPEC strains UTI89 and CFT073 were grown and prepared as previously described. On day 42, mice were transurethrally inoculated with 50 µL of a UPEC strain suspension (1 × 108 CFU) as described (106). The inoculum was quantified by plating dilutions onto LB agar. After 72 h, mice were euthanized and necropsied to collect bladders. The bladders were homogenized in 500 µL 1 × PBS and plated as described above.

Murine model of mortality from mixture of 10 strains

Ten E. coli strains, representing typical sequence types (STs) of ExPEC, were grown and prepared as previously described. On day 42, mice were intraperitoneally injected with 50 µL of a mixture of 10 ExPEC strains (equally mixed, a total of 1 × 108 CFU). The inoculum was quantified by plating dilutions on LB agar. Mice were monitored twice daily for 10 days to observe their survival. Survival data were collected over time, and moribund or dead mice were euthanized and necropsied to determine bacterial levels in their kidney, spleen, and liver. The organs were homogenized in 1 mL 1 × PBS and plated as described above. Moribundity was determined by observing multiple features, including rough coat, hunched posture, lethargy, and hyperpnea.

Murine model of gastrointestinal tract colonization

Female BALB/cJ mice were subjected to a vaccination protocol, receiving three subcutaneous injections of either pro-HlyA or Dual-Hit antigens on days 0, 14, and 28, and the control group mice were administered an equal number of control supernatant injections as described previously. Prior to bacterial challenge, all mice underwent a 12 h fasting period for them to enhance infection efficacy. On day 42, mice were orally challenged with transgenic kanamycin-resistant ExPEC strains, either UTI89 or CFT073, at a dose of 5 × 108 CFU/mouse via gavage. Fecal sample collection individually commenced 24 h after infection and was repeated daily for the duration of 5 days. Fecal pellets, obtained under sterile conditions, were homogenized in 1 mL 1 × PBS. The homogenates were then serially diluted, cultured on LB Agar plate with 50 µg/mL kanamycin, incubated at 37°C overnight, and determined the number of bacteria by CFU/mL.

Statistical analyses

Graphs and statistical analyses were conducted using GraphPad Prism (GraphPad Software, San Diego, CA). Significance was determined using the Mann-Whitney U test (two groups) or Kruskal-Wallis analysis of variance (ANOVA) with Dunn’s multiple comparisons correction (more than two groups). Survival curves were compared using the Genhan-Breslow-Wilcoxon curve comparison. Statistical significance was determined if the calculated P-values were less than 0.05. The lines of all the bar graphs were at the median with 95% confidence intervals (CI). Log (2) = 100 CFU/mL is the lower limit of detection. If no bacterial colony is detected on the plate, the CFU count will be calibrated from 0 to 1, thereby indicating the value in logarithmic form in the figures (Log(1) = 0). The statistical significance is represented as one star (*) for P <  0.05, two stars (**) for P <  0.01, three stars (***) for P <  0.001, and four stars (****) for P <  0.0001. The box-and-whisker plots and Kaplan Meier survival curves were generated using GraphPad Prism and annotated with BioRender.

RESULTS

Comparative genomics of hemolysin in ExPEC

Our vaccine search efforts center around a strategy to use comparative pathogenomics combined with functional vaccine antigen characterization to identify the best candidates for development. Some criteria include searching for genes that encode proteins that are surface or extracellularly secreted (for the immune system to access), are involved in the pathogenesis of the organism, are likely involved in disease-specific symptomology, are expressed during infection, and are prominent in disease-causing strains. Using a database of 1,348 complete E. coli genomes and >20,000 genomes available in public databases, we settled on the hemolysin toxin, HlyA, as a candidate worthy of exploration. Although only present in 65 genomes when blasted for the hlyA sequence (of the 1,348) (81), the phylogroup distribution of the hlyA sequence shows it is predominantly found in phylogroup B2, specifically the ExPEC and UPEC-associated sequence types (STs) ST73, ST95, ST127, and ST131 (Fig. 1A). Alignment and phylogenetic analysis of the amino acid sequences of HlyA suggests that HlyA is highly conserved, with all alleles being >97% identical on the amino acid level (Fig. 1B). These results also suggest that the hlyA sequence has a horizontal pattern of transmission between phylogroups, as the alleles of hlyA within non-B2 phylogroups are nested within those of the B2 phylogroup (Fig. 1B).

Structural prediction of HlyA

The AlphaFold2-predicted protein structure of HlyA reveals structural and organizational parallels with previously characterized RTX toxins. HlyA is predicted to comprise three domains: helix-dominated N-terminal domain (residues 1–279, red), a three-helix bundle (residues 321–437, blue), a predominantly beta-helix C-terminal domain (residues 438–1,023, green), and a linker connecting N-terminal and helix-bundle domains (residues 280–320, gray) (Fig. 1C). The electrostatic map of three-helix bundle suggests that HlyA has the capability to form membrane pores as previously seen in RTX toxins at higher concentrations; this function would be vulnerable to disruption by steric interference from antibodies that target this domain. Predominant feature of the C-terminal domain is two-strand beta helix repeats that span the length of this domain (Fig. 1D). This domain bears striking structural similarity to the beta-helical domain of highly immunogenic virulence factor pertactin from B. pertussis, which is universally used as one of the immunogenic components necessary for efficacy in acellular pertussis vaccines (107, 108). Furthermore, it has been shown that neutralizing antibodies can disrupt the interaction between RTX leukotoxin and host integrin receptors by targeting the beta helix-repeat domain mediating host-pathogen interaction [hemolysin A from P. mirabilis (top, PDB: 4W8Q) and RTX fragment from B. pertussis AC toxin (bottom, PDB: 7RAH)] (109, 110). This potentially offers an additional way to interfere with ExPEC-host interaction that could work in synergy with other vaccines with similar modes of action.

HlyA function, expression, and purification

The activation and secretion of HlyA are regulated by the hlyCABD operon, comprising the acyltransferase HlyC, the ABC transporter HlyB, and the outer membrane fusion protein HlyD (111). The secretion process can be described by the interaction of HlyA with the pre-assembled HlyBD complex, which prompts contact with TolC, a multifunctional outer membrane protein (OMP) of E. coli. This interaction forms a trans-periplasmic export channel, capable of directly transporting substrates (HlyA) from the cytoplasm to the extracellular medium, without the formation of periplasmic intermediate (112, 113). Recently, cryo-electron microscopy (cryo-EM) structures determined that the inner membrane complex formed by HlyB and HlyD is a hetero-dodecameric assembly composed of three HlyB homodimers and six HlyD subunits. Functional studies have further validated that oligomerization of HlyB and HlyD is critical for protein (HlyA) secretion (114). HlyA is a member of the RTX toxin family and possesses the ability to form a pore in the membranes of various cell types (111). However, its maturation from a non-toxic precursor, pro-HlyA, into an active toxin, necessitates a fatty acylation at two internal lysine residues (Lys-564 and Lys-690), facilitated by the acyltransferase HlyC (115). This lipidation is not required for secretion, but rather for hemolytic and cytotoxic activity. In the absence of acylation, the inactive precursor of HlyA, pro-HlyA, fails to induce pore formation in the host cell membrane (116) and does not induce calcium flux (65).

Given these reasons and with the goal of determining a safe potential vaccine candidate against ExPEC, we decided to use the non-acylated, inactive form of HlyA, pro-HlyA, as the vaccine antigen candidate, and used the co-transformation expression system (involving HlyBD and HlyA, with the sequence of hlyC deleted) to purify the protein. The plasmids we used are hlyA sequence (Uniprot entry: P08715) was cloned into plasmid pSU-hlyA, while transport complex components HlyB and HlyD were encoded into plasmid pK184-hlyBD (82). Both plasmids were co-transformed into E. coli BL21 (DE3) cells. Bacterial cultures expressing recombinant pro-HlyA antigen secreted the protein into the supernatant, which was subsequently harvested, filtered, concentrated, and visualized by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE). Coomassie blue staining and silver stain of the gels both revealed a dominant band at approximately 110 kDa, presumed to be pro-HlyA (highlighted in a red rectangle) (Fig. 1E). Furthermore, we included results from the control supernatant (second lane), derived from an untransformed E. coli BL21(DE3) colony cultured and purified identically to the pro-HlyA protein. Both the silver-stained and the Coomassie blue stained gels distinctly show the absence of a 110 kDa band in the control supernatant (highlighted in a red rectangle). Additionally, two extra bands were observed in the pro-HlyA lane. The first extra band (marked in a blue rectangle) was present in both the control supernatant and pro-HlyA lanes, suggesting it could be an unidentified protein from BL21 (DE3) itself, possibly degrading to around 37 kDa during the whole process. The second extra band, exclusive to the pro-HlyA lane, is hypothesized to be a degradation product of pro-HlyA (marked in a yellow rectangle) (Fig. 1E).

The identity of the putative pro-HlyA protein was confirmed by mass spectrometry by MS/MS of the band. Purified protein bands were resolved and digested in gel, and the tryptic peptides were analyzed on a nanospray LC-MS (liquid chromatography-mass spectrometry) system. The coverage of the candidate antigen pro-HlyA, which is defined as the percentage of the protein sequence covered by identified peptides, was approximately 73%, with 97 peptides detected (Fig. 1F). This high sequence coverage substantiated the identity of the antigen, enabling its utilization in further experiments. The recombinant SinH-3 protein, fused to GST, was expressed in E. coli BL21(DE3) and purified following a previously described method (83).

Pro-HlyA vaccination in a murine model of bacteremia

UTI89, an ExPEC strain belonging to multilocus sequence type 95 (ST95) (117), was isolated from a patient with acute cystitis (118). ST95, along with ST73 and ST131, is predominantly found in ExPEC strains and represents the second most prevalent clonal group in patients with BSIs (23). To evaluate the protective efficacy of pro-HlyA in a UTI89 bacteremia model, mice were subcutaneously immunized with purified pro-HlyA combined with alum adjuvant (2:1 antigen/alum ratio), while the control group mice were injected with a mixture comprising equal volumes of control supernatant and alum adjuvant. On day 42, mice were followed by intraperitoneal injection of UTI89 (1 × 108 CFU/mouse). The experimental vaccination scheme is shown in Fig. 2A. After 16 hof infection, mice were euthanized, and their kidney, spleen, and liver were collected. The harvested organs were homogenized, and the bacterial burden of UTI89 in infected tissues was evaluated by quantifying CFU (Fig. 2B and C).

Combining the counts from all cohorts (to assess the total effect of vaccination across all organs), mice immunized with pro-HlyA exhibited a significant reduction in bacterial burden across all organs (Adjusted P-value, P < 0.0001) (Fig. 2B). Compared to control group mice, pro-HlyA immunized mice showed a 1.14-log reduction in median UTI89 level at 16 hours post-infection. Additionally, pro-HlyA vaccination led to significant reduction in bacterial levels within each organ type;1.65-log, 1.12-log, and 1.19-log reductions, in median UTI89 levels in the kidneys, spleen, and liver, respectively (Adjusted P-value, kidney, P = 0.0006; spleen, P = 0.0008; liver, P < 0.0001) when compared to control group mice (Fig. 2C).

Pro-HlyA immunization and lethal disease

We assessed the long-term survival rate following pro-HlyA immunization and challenge with a lethal dose of ExPEC. The experimental group mice received three subcutaneous immunizations of pro-HlyA on days 0, 14, and 28, while mice in the control group remained unvaccinated. On day 42, mice were intraperitoneally injected with UTI89 (5 × 107 CFU/mouse) and monitored twice daily for morbidity and mortality over the next 10 days. At 3 days post-infection, four moribund vaccinated mice were euthanized, and organs were collected (−3 d.p.i. group) to assess changes in bacterial burden within infected organs over time. At 10 d.p.i., all remaining surviving vaccinated mice were euthanized. The harvested organs were homogenized, and UTI89 bacterial burden within infected tissues was quantified by determining CFU. The vaccination scheme used in this study is shown in Fig. 2D.

Our results indicated that unvaccinated mice died within 1 d.p.i., whereas four surviving pro-HlyA vaccinated mice were euthanized at 3 d.p.i. during the 10-day observation period (−3 d.p.i. group), and all the remaining eight Dual-Hit vaccinated mice survived until the end of the observation period (−10 d.p.i. group), resulting in a 66.7% survival rate at 10 d.p.i. (Adjusted P-value, P < 0.0001) (Fig. 2E). The bacterial burden results in pro-HlyA vaccinated mice correlated with survival rates. Combining the counts from all organs, pro-HlyA immunized mice exhibited a significant reduction in UTI89 bacterial burden at both 3 d.p.i. (Adjusted P-value, P = 0.0060) and 10 d.p.i. (Adjusted P-value, P < 0.0001), compared to unvaccinated mice. Moreover, in comparison to unvaccinated mice, the pro-HlyA vaccination resulted in approximately 5.42-log and 8.57-log reductions in median UTI89 bacterial burden at 3 d.p.i. and 10 d.p.i., respectively (Fig. 2F). Furthermore, pro-HlyA vaccinated mice surviving for 10 d.p.i. showed a 3.15-log significant reduction in median UTI89 levels (Adjusted P-value, P = 0.0147) compared to those euthanized at 3 d.p.i. Additionally, combining the counts at both 3 d.p.i. and 10 d.p.i. and analyzing by each organ, pro-HlyA immunized mice demonstrated a significant decrease in bacterial loads across multiple organs compared to unvaccinated mice (Adjusted P-value, kidney, P = 0.0013; spleen, P = 0.0040; liver, P < 0.0001) (Fig. 2G).

Efficacy of a combined autotransporter-toxin vaccine for ExPEC

We hypothesized that pro-HlyA could confer protection against strains that lack evidence for encoding the hlyA gene, potentially attributable to cross-protection induced by pro-HlyA. To evaluate this, we vaccinated the mice with pro-HlyA and conducted mortality studies, as illustrated in Fig. S1. Our results with the pro-HlyA antigen vaccine (Fig. 2; Fig. S1) demonstrate that this strategy would only provide protection against HlyA+ strains and leave subjects vulnerable to HlyA− strains. Our earlier research also demonstrates that SinH-3, a fragment corresponding to the immunoglobulin-like (Ig-like) domain-3 of the invasin-like autotransporter protein SinH, conferred robust systemic protection against infections caused by ST131 ExPEC strains in multiple murine models (83). Given the insufficient protection induced by pro-HlyA immunization alone against a mixture of five ST131 ExPEC strains that lack the hlyA sequence (including ST131-H30R lineage) (Fig. S1), we aimed to investigate the potential of a combination vaccine comprising SinH-3 and pro-HlyA (hereafter referred to as “Dual-Hit”) against several sequence types of ExPEC strains. We first assessed whether Dual-Hit still maintained robust protective efficacy against representative ExPEC strains containing hlyA sequences, such as UTI89, in both bacteremia and mortality models.

To evaluate the rapid protective efficacy of Dual-Hit immunization in a UTI89 bacteremia model, the experiment and control group mice were immunized and challenged as described in Fig. 2. The experimental vaccination scheme is shown in Fig. 3A. After 16 h of infection, mice were euthanized simultaneously, their organs were harvested and homogenized, and the bacterial burden of UTI89 was quantified by measuring CFU (Fig. 3B and C). Combining the counts from all cohorts, Dual-Hit vaccinated mice demonstrated a significant reduction in bacterial burden across all organs (Adjusted P-value, P < 0.0001) (Fig. 3B). Compared to the control group mice, Dual-Hit immunized mice exhibited an approximately 1.73-log reduction in median UTI89 level at 16 h post-infection, indicating robust and rapid protection across multiple organs. Moreover, Dual-Hit vaccination resulted in significant reductions in bacterial levels within each collected organ. Compared to control group mice, those vaccinated with Dual-Hit exhibited approximately 2.05-log, 1.72-log, and 1.61-log reductions in median UTI89 levels in the kidneys, spleen, and liver, respectively (Adjusted P-value, kidney, P = 0.0009; spleen, P = 0.0047; liver, P = 0.0289) (Fig. 3C). These findings suggest that Dual-Hit immunization can still provide rapid, systemic protection against UTI89 bacteremia across multiple organs within a short timeframe. Furthermore, the inclusion of SinH does not influence or interfere the efficacy of pro-HlyA vaccination.

Dual-Hit and lethal bacteremia

We next investigated whether subcutaneous immunization with Dual-Hit increased the survival rate of vaccinated mice when challenged with UTI89 using the same conditions as described in Fig. 2 (Fig. 3D). Our results showed that unvaccinated mice died within 1 d.p.i., whereas six moribund Dual-Hit vaccinated mice were euthanized at 3 d.p.i. during the 10-day observation period (−3 d.p.i. group), and all the remaining 12 Dual-Hit vaccinated mice survived until the end of the observation period (−10 d.p.i. group), resulting in a survival rate of 66.7% at 10 d.p.i. (adjusted P-value, P < 0.0001) (Fig. 3E). Bacterial burden measurements in Dual-Hit vaccinated mice correlated with survival rates. When combining the counts from all organs, Dual-Hit immunized mice showed a significant reduction in UTI89 bacterial burdens at both 3 d.p.i. (Adjusted P-value, P = 0.0037) and 10 d.p.i. (Adjusted P-value, P < 0.0001), compared to unvaccinated mice. Moreover, in comparison to unvaccinated mice, the median UTI89 bacterial burden in Dual-Hit vaccinated mice was approximately 4.99-log and 8.63-log lower at 3 d.p.i. and 10 d.p.i., respectively (Fig. 3F). Additionally, Dual-Hit vaccinated mice surviving for 10 d.p.i. showed a 3.65-log significant reduction in median UTI89 levels (Adjusted P-value, P = 0.0003) compared to those euthanized at 3 d.p.i. When combining bacterial burden counts at both 3 d.p.i. and 10 d.p.i. and analyzing by each organ, Dual-Hit immunized mice demonstrated significant reductions in bacterial burdens across multiple organs compared to unvaccinated mice (Adjusted P-value, kidney, P = 0.0013; spleen, P = 0.0003; liver, P < 0.0001) (Fig. 3G).

Pro-HlyA or Dual-Hit and protection against prototype strain CFT073

CFT073, a prototypical UPEC strain isolated from a female patient with acute pyelonephritis, belongs to phylogenetic group B2 and multilocus sequence type 73 (ST73) (86, 119). Notably, ST73 represents one of the most prevalent UPEC lineages, accounting for 11% and 16.6% of UPEC isolates obtained from UTI patients (including the elderly) in recent studies (120, 121). We investigated whether immunization with pro-HlyA or Dual-Hit confers robust protection against CFT073 in the murine model of mortality.

The vaccination was as described above with the scheme shown in Fig. 4A. Our results indicated that all unvaccinated mice died within 1 d.p.i., whereas mice immunized with pro-HlyA exhibited a 25% survival rate at 10 d.p.i. (adjusted P-value, P = 0.0021), while Dual-Hit vaccinated mice showed a 42% survival rate at 10 d.p.i. (adjusted P-value, P = 0.0021) (Fig. 4B). Although some vaccinated mice died within 2 d.p.i., immunization with pro-HlyA or Dual-Hit significantly improved survival rates after CFT073 infections. When combining counts from all organs, compared to unvaccinated mice, pro-HlyA immunized mice demonstrated a statistically significant reduction in CFT073 bacterial burden at 2 d.p.i. in the median level (Adjusted P-value, P = 0.0122, approximately 0.36 log reduction), suggesting certain protection caused by pro-HlyA vaccination. Additionally, pro-HlyA vaccinated mice surviving at 10 d.p.i. showed a significant reduction in the median level of CFT073 compared to those moribund or died within 2 d.p.i. (Adjusted P-value, P = 0.0023). However, there is no difference in bacterial burden between the 2 d.p.i. Dual-Hit vaccinated group mice and unvaccinated group mice (Fig. 4C). When combining bacterial burden counts at both 2 d.p.i. and 10 d.p.i. and analyzing them by each organ, pro-HlyA vaccinated mice exhibited a statistically significant reduction in bacterial burdens in the spleen (Adjusted P-value, P = 0.0146) and liver (Adjusted P-value, P = 0.0144) compared to the bacterial loads in unvaccinated mice (Fig. 4D). Similarly, Dual-Hit vaccinated mice showed a statistically significant reduction in bacterial levels in the spleen (Adjusted P-value, P = 0.0349) and liver (adjusted P-value, P = 0.0186) compared to the bacterial burden in unvaccinated mice (Fig. 4D).

Pro-HlyA or Dual-Hit and cystitis caused by UTI89 in the murine model of UTI

Urinary tract infections (UTIs) constitute a major global health concern, significantly contributing to morbidity in otherwise healthy females, with over 60% experiencing a diagnosis during their lifetime (122). In the United States, the annual incidence of physician-diagnosed UTIs exceeds 10% for females and 3% for males. UPEC is the primary causative agent, accounting for approximately 80% of UTI cases (123). Therefore, we evaluated the protective efficacy of pro-HlyA or Dual-Hit against UPEC colonization in the bladder in the murine model of UTI. Female BALB/cJ mice were immunized as previously described in Fig. 2. On day 42, mice were transurethrally inoculated with 1 × 108 CFU of typical UPEC strains (UTI89 or CFT073, Fig. 5A). After 72 h of infection, bladders were harvested, homogenized, and bacterial loads of UTI89 and CFT073 were determined by quantifying CFUs.

For the experimental UPEC strain UTI89, our results demonstrated that both pro-HlyA and Dual-Hit immunizations provided robust protection against UTI89 colonization in the bladder within the UTI model. In comparison to unvaccinated mice, the pro-HlyA vaccinated mice exhibited an approximate 2.01-log reduction in the median level of UTI89 in their bladder (Adjusted P-value, P = 0.0328). Similarly, the Dual-Hit vaccinated mice showed an approximate 2.18-log reduction in the median level of UTI89 (Adjusted P-value, P = 0.0094) (Fig. 5B). However, no significant differences were observed between the experimental groups and the control group for the experimental UPEC strain CFT073 (Fig. 5C).

Dual-Hit vaccination and a mixture of 10 typical ExPEC strains

In previous studies, we demonstrated the robust protective efficacy of Dual-Hit against UTI89 (ST95) and CFT073 (ST73) in murine models of bacteremia and mortality. Additionally, we found that immunization with pro-HlyA alone provided inadequate protection against the infections caused by ExPEC ST131 strains that lack the hlyA sequence in the murine mortality model. Consequently, we evaluated whether Dual-Hit could offer robust protective efficacy and significantly increase survival rates against a mixture of ten typical ExPEC strains (including ST95, ST73, and ST131) in the murine mortality model.

To assess the protective efficacy of the Dual-Hit against multiple sequence types of ExPEC strains in the murine mortality model, the experiment group vaccinated as previously described, while a control group remained unvaccinated (Fig. 6A). At day 42, mice were intraperitoneally challenged with a composite of 10 representative ExPEC strains (1 × 10^8 CFU/mouse in total), which represent predominant sequence types with the highest virulence gene content within the ExPEC B2 phylogroup (124). These strains, present in equal proportions, span a range of common high-virulence sequence types, including CFT073 (ST73), UTI89 (ST95), W0008 (ST127), JJ1886, JJ1901, JJ2050, JJ2528, JJ2547 (ST131), W0044 (ST405-like), and W0128 (ST648-like). Notably, all used strains are SinH+, with both CFT073 and UTI89 are SinH + and HlyA+. Over the next 10 days, mice were closely monitored for morbidity and mortality twice daily.

Our findings revealed that unvaccinated mice died within 1 d.p.i., while 2 of the 18 Dual-Hit vaccinated mice died within 1 d.p.i. and 4 moribund Dual-Hit vaccinated mice were euthanized at 3 d.p.i. during the 10-day observation period (−3 d.p.i. group), and all the remaining 16 Dual-Hit vaccinated mice survived until the end of the observation period (−10 d.p.i. group), resulting in a survival rate of 72.7% at 10 d.p.i. (adjusted P-value, P < 0.0001) (Fig. 6B). When combining CFU counts from all organs, mice immunized with Dual-Hit demonstrated significantly reduced bacterial burdens at both 3 d.p.i. (Adjusted P-value, P < 0.0001) and 10 d.p.i. (Adjusted P-value, P < 0.0001) compared to unvaccinated mice. Compared to unvaccinated mice, the median bacterial burden in Dual-Hit vaccinated mice was approximately 4.07-log and 8.08-log lower at 3 d.p.i. and 10 d.p.i., respectively (Fig. 6C). A 4.01-log reduction in the median level of 10 ExPEC strains was also observed when comparing the bacterial levels in Dual-Hit vaccinated mice at 10 d.p.i. to those at 3 d.p.i. (Adjusted P-value, P = 0.0148) (Fig. 6C). Furthermore, when combining the counts at both 3 d.p.i. and 10 d.p.i. and analyzing by each organ, Dual-Hit immunized mice demonstrated a significant reduction in bacterial loads across multiple organs compared to unvaccinated mice (Adjusted P-value, kidney, P < 0.0001; spleen, P < 0.0001; liver, P < 0.0001) (Fig. 6D). Our findings indicate that incorporating SinH enhances protection against ExPEC strains lacking the hlyA sequence, suggesting that a combination vaccine will offer broader coverage of protection.

DISCUSSION

ExPEC is the predominant cause of bacteremia and UTIs, persisting in both community environments and among hospitalized patients, leading to considerable hospitalization and mortality rates. The clinical management of ExPEC faces challenges, which are further exacerbated by the overprescription of antibiotics, the emergence of antibiotic-resistant ExPEC strains, and the global aging trend (125127). A vaccine targeting ExPEC represents a promising alternative strategy to address this issue, potentially mitigating the escalating global burden of antimicrobial resistance crisis and reducing hospitalization cost, thereby providing tremendous worldwide benefits.

In this study, we demonstrate that (i) immunization with pro-HlyA or Dual-Hit elicited a rapid and robust protection against the highly virulent ExPEC strain UTI89 (ST95), reducing the bacterial burden of UTI89 in the murine bacteremia model; (ii) immunization with pro-HlyA or Dual-Hit increased survival rates following UTI89 infection, providing lasting and consistent protection in the murine model of mortality; (iii) immunization with pro-HlyA or Dual-Hit conferred partial protection against the highly virulent ExPEC strain CFT073 (ST73), decreasing the bacterial burden of CFT073 and increasing survival rates after CFT073 infection in the murine model of mortality; (iv) immunization with pro-HlyA or Dual-Hit reduced UTI89-induced cystitis in the murine model of UTI; (v) immunization with Dual-Hit significantly increased survival rates following infection by a mixture of 10 typical ExPEC strains in the murine model of mortality, indicating the synergistic and broad-spectrum effects of the two antigens. Overall, our data indicate that both the inactive form of hemolysin, pro-HlyA, and Dual-Hit, a combination of the extracellular domains of the autotransporter SinH (SinH-3) and pro-HlyA, represent promising ExPEC vaccine candidates. We believe our findings offer an alternative research approach to the current ExPEC vaccine development efforts.

Hemolysin is a prevalent exotoxin produced by E. coli and significantly amplifies virulence in various clinical infections. Despite the relatively low abundance of hlyA in our phylogroup database as a whole, it is concentrated in highly virulent sequence types associated with ExPEC and UPEC infections, suggesting it plays a major role in these infections (Fig. 1A). Interestingly, the alignment and phylogenetic analysis of HlyA shows that the majority of instances of HlyA in what are generally considered intestine-associated phylogroups (A, B1, E) cluster together (Fig. 1B). This could suggest three different things: (i) the convergent evolution of a less-virulent (or more specialized) allele of hlyA, (ii) a more promiscuous form of the pathogenicity island carrying hlyA, and (iii) co-colonization in the intestines led to increased rates of horizontal transfer of hly. Given that the alleles found within non-B2 phylogroups are nested within the B2 phylogroup alleles, our results suggest that the B2 phylogroup acts as a reservoir for this virulence factor and that it occasionally spills over into other phylogroups, as we hypothesized previously (81).

Furthermore, while both pro-HlyA and Dual-Hit demonstrated high-efficiency protection against UTI89 in various murine models (bacteremia, mortality, and UTI), their protective efficacy against CFT073 in these models was not as robust as anticipated. The differential immunization protective efficacy against these two strains may stem from differences between UTI89 and CFT073. Although E. coli clones ST95 and ST73 frequently cause bloodstream infections and UTIs, a recent study revealed that UTI89 possesses a greater total number of genes that contribute to growth in urine and bladder colonization than CFT073. However, CFT073 appears to have more fitness factors than UTI89 (128, 129). Another study demonstrated that, while both UTI89 and CFT073 are clinical UPEC isolates that could cause infections for at least two weeks in similar proportions of mice, UTI89 infections could persist indefinitely, compared to the CFT073 infections began to clear 2 weeks after inoculation (130). The findings listed above suggest that UTI89 not only leads to more persistent infections but also might increase the detectability and binding affinity for vaccine-specific antibodies targeting UTI89, consequently enhancing the protective efficacy of pro-HlyA and Dual-Hit immunization. Moreover, variations in lipopolysaccharide (LPS) composition across bacterial strains also affect bacterial characteristics and interactions with host organisms, resulting in varied innate and adaptive immune responses (131, 132). These variations may also account for the observed differences in the protective efficacy of our antigenic formulations between the UTI89 and CFT073 strains. We also recognize that a limitation of our study is that kidney bacterial burdens were not assessed, thus future investigations of the UTI model warrant simultaneous collection of both bladder and kidney tissues. Additionally, we also evaluated the protective efficacy of both antigen forms in diminishing colonization by UTI89 or CFT073 strains in the gastrointestinal (GI) tract model. Unfortunately, neither antigen form provided protection against the ExPEC strains when compared to the control group. These results necessitate a focus on optimizing immunization routes and adjuvants to enhance mucosal immunity as a priority for future research (Fig. S3).

Variations in immunization routes and adjuvant types significantly impact vaccine efficacy evaluation. Understanding these would enable optimization of the vaccine formulation and administration to maximize protective efficacy. For instance, intramuscular (I.M.) administration is the most used route for licensed vaccines and has been shown to elicit high immunogenicity in adult rabbits immunized with MecVax, producing antibodies against enterotoxigenic Escherichia coli (ETEC) H10407 and reducing intestinal colonization (133). A clinical trial also demonstrated the safety and immunogenicity of the CS6-targeted candidate vaccine, CssBA, when administered intramuscularly (134). Furthermore, both experimental and clinical evidence have indicated that mucosal immunization could efficiently induce local and distant systemic immune responses, as well as in the blood (135, 136). In previous studies, mice intranasally immunized with the iron receptor, FyuA, IutA, Hma, and IreA exhibited a robust and long-lived humoral immune response against UPEC challenge. Intranasal immunization with FyuA reduced UPEC strain 536 colonization following transurethral challenge, while IreA intranasally immunization significantly reduced CFT073 bacterial counts in the bladder (45, 46). Therefore, without compromising the robust systemic protection provided by pro-HlyA or Dual-Hit immunization, combining subcutaneous with either intramuscular or intranasal routes may present a more promising approach to enhance immune responses and improve protective efficacy of vaccinated mice against ExPEC infections in both blood (bacteremia) and mucosal (urinary tract).

The potential of a vaccine could also be significantly enhanced by formulating it with novel adjuvants, which effectively augment immune responses to the administered vaccine antigen (137). In our study, we utilized aluminum salts (alum) as the adjuvant due to its proven safety. Alum is a clinically approved and widely used adjuvant in human vaccines, has been used for over 80 years in vaccine research, and typically stimulates the Th2-type immune responses (138). In a previous study, suitable adjuvants were screened for iron receptor-based immunization against UPEC infection, and they found that dmLT generated the most consistently robust antibody response in intranasally immunized mice, while Monophosphoryl-Lipid A (MPLA) and alum produced greater concentrations of antigen-specific IgG with intramuscular immunization (48). This study suggests that dmLT, a mucosal adjuvant proven safe and potent through both preclinical and clinical studies, could be an alternative adjuvant in future research. Similarity, a recent study demonstrated that following bladder infection, highly T-helper type 2 (TH2)-skewed immune responses prioritized bladder epithelial repair after extensive exfoliation of epithelial cells, rather than bacterial clearance and even inhibition of Th1-mediated responses (139). Therefore, MPLA is a potentially ideal adjuvant that could safely induce an appropriate level of Th1 response, enhancing Th1-mediated bacteria-clearing responses and increasing the ability to eliminate E. coli infection after vaccine immunization (140). It will be of great value to determine whether alternative adjuvants improve upon the results we have seen herein with alum, as well as if different routes of vaccination change outcomes. Of note, we did generate a mRNA version of the Dual-Hit vaccine reported here and tested it for efficacy against UTI89. However, there was no difference in survival or protection between vaccinated and control groups (Fig. S2).

In summary, antimicrobial resistance is a leading threat to global health. Developing an ExPEC vaccine presents a promising strategy to combat this growing global crisis and effectively reduce the incidence of antibiotic-resistant ExPEC infections to improve public health outcomes. Our study demonstrates the promising protective efficacy of pro-HlyA and Dual-Hit immunizations against ExPEC infections in murine models. Furthermore, in this study, we bridged computational genomics and virulome vaccinology and attempted to block various steps of bacterial pathogenesis by synergizing multiple protein subunits associated with different virulence factors. The observed reduction in bacterial burden and increased survival rates indicate the potential of these vaccine candidates for further development and evaluation.

ACKNOWLEDGMENTS

We thank James R. Johnson for allowing us to use ExPEC strains from his collection. We thank Lutz Schmitt for delivering and allowing us to use plasmids pSU-hlyA and pK184-hlyBD. BCM Mass Spectrometry Proteomics Core is supported by the Dan L. Duncan Comprehensive Cancer Center NIH award and CPRIT Core Facility Award. We thank Professor Robert A. Britton, Professor Pedro A. Piedra, and Professor Pablo C. Okhuysen for their input. We also thank Merry Wilks for her supplement of the large amount of LB broth during the experiments.

This work is supported by grants from NIAID (U19AI157981 and U19AI144297).

Conceptualization: Y.X., A.W.M. Methodology: J.J.Z., D.M.C., K.A.P., F.A.P., J.R.C., J.D.C., E.E.V., H.J.H.S. Investigation: Y.X., A.W.M. Funding Acquisition: A.W.M. Writing—original draft: Y.X. Writing—review & editing: Y.X., J.R.C., J.D.C., F.A.P., K.A.P., A.W.M.

Contributor Information

Anthony W. Maresso, Email: maresso@bcm.edu.

Kimberly A. Kline, Universite de Geneve, Geneva, Switzerland

ETHICS APPROVAL

All methods performed on mice adhered to the relevant guidelines and regulations set forth by “The Guide and Care and Use of Laboratory Animals” (National Institute of Health). The Animal Use Protocol number AN-5177 was approved by Baylor College of Medicine’s Institutional Animal Care and Use Committee.

SUPPLEMENTAL MATERIAL

The following material is available online at https://doi.org/10.1128/iai.00440-23.

Fig. S1. iai.00440-23-s0001.docx.

Evaluating the protective efficacy of pro-HlyA antigen alone against the mixture of ST131 ExPEC strains infection in the murine model of mortality.

iai.00440-23-s0001.docx (184.1KB, docx)
DOI: 10.1128/iai.00440-23.SuF1
Fig. S2. iai.00440-23-s0002.docx.

Evaluating the protective efficacy of Dual-Hit mRNA vaccine against UTI89 infection in the murine model of mortality.

iai.00440-23-s0002.docx (174.6KB, docx)
DOI: 10.1128/iai.00440-23.SuF2
Fig. S3. iai.00440-23-s0003.docx.

Assessment of the protective efficacy of pro-HlyA or Dual-Hit against either UTI89 or CFT073 colonization in the murine model of gastrointestinal (GI) tract.

iai.00440-23-s0003.docx (193.1KB, docx)
DOI: 10.1128/iai.00440-23.SuF3

ASM does not own the copyrights to Supplemental Material that may be linked to, or accessed through, an article. The authors have granted ASM a non-exclusive, world-wide license to publish the Supplemental Material files. Please contact the corresponding author directly for reuse.

REFERENCES

  • 1. Poolman JT, Wacker M. 2016. Extraintestinal pathogenic Escherichia coli, a common human pathogen: challenges for vaccine development and progress in the field. J Infect Dis 213:6–13. doi: 10.1093/infdis/jiv429 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Antimicrobial Resistance Collaborators . 2022. Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis. Lancet 399:629–655. doi: 10.1016/S0140-6736(21)02724-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Sora VM, Meroni G, Martino PA, Soggiu A, Bonizzi L, Zecconi A. 2021. Extraintestinal pathogenic Escherichia coli: virulence factors and antibiotic resistance. Pathogens 10:1355. doi: 10.3390/pathogens10111355 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Russo TA, Johnson JR. 2003. Medical and economic impact of extraintestinal infections due to Escherichia coli: focus on an increasingly important endemic problem. Microbes Infect 5:449–456. doi: 10.1016/s1286-4579(03)00049-2 [DOI] [PubMed] [Google Scholar]
  • 5. Ku LC, Boggess KA, Cohen-Wolkowiez M. 2015. Bacterial meningitis in infants. Clin Perinatol 42:29–45. doi: 10.1016/j.clp.2014.10.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Angus DC, Linde-Zwirble WT, Lidicker J, Clermont G, Carcillo J, Pinsky MR. 2001. Epidemiology of severe sepsis in the United States: analysis of incidence, outcome, and associated costs of care. Crit Care Med 29:1303–1310. doi: 10.1097/00003246-200107000-00002 [DOI] [PubMed] [Google Scholar]
  • 7. Liu V, Escobar GJ, Greene JD, Soule J, Whippy A, Angus DC, Iwashyna TJ. 2014. Hospital deaths in patients with sepsis from 2 independent cohorts. JAMA 312:90–92. doi: 10.1001/jama.2014.5804 [DOI] [PubMed] [Google Scholar]
  • 8. Epstein L, Dantes R, Magill S, Fiore A. 2016. Varying estimates of sepsis mortality using death certificates and administrative codes--United States, 1999-2014. MMWR Morb Mortal Wkly Rep 65:342–345. doi: 10.15585/mmwr.mm6513a2 [DOI] [PubMed] [Google Scholar]
  • 9. Rudd KE, Johnson SC, Agesa KM, Shackelford KA, Tsoi D, Kievlan DR, Colombara DV, Ikuta KS, Kissoon N, Finfer S, Fleischmann-Struzek C, Machado FR, Reinhart KK, Rowan K, Seymour CW, Watson RS, West TE, Marinho F, Hay SI, Lozano R, Lopez AD, Angus DC, Murray CJL, Naghavi M. 2020. Global, regional, and national sepsis incidence and mortality, 1990-2017: analysis for the global burden of disease study. Lancet 395:200–211. doi: 10.1016/S0140-6736(19)32989-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Paoli CJ, Reynolds MA, Sinha M, Gitlin M, Crouser E. 2018. Epidemiology and costs of sepsis in the United States-an analysis based on timing of diagnosis and severity level. Crit Care Med 46:1889–1897. doi: 10.1097/CCM.0000000000003342 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Bonten M, Johnson JR, van den Biggelaar AHJ, Georgalis L, Geurtsen J, de Palacios PI, Gravenstein S, Verstraeten T, Hermans P, Poolman JT. 2021. Epidemiology of Escherichia coli bacteremia: a systematic literature review . Clin Infect Dis 72:1211–1219. doi: 10.1093/cid/ciaa210 [DOI] [PubMed] [Google Scholar]
  • 12. Dadgostar P. 2019. Antimicrobial resistance: implications and costs. Infect Drug Resist 12:3903–3910. doi: 10.2147/IDR.S234610 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Ohmagari N, Choi WS, Tang HJ, Atanasov P, Jiang X, Hernandez Pastor L, Nakayama Y, Chiang J, Lim K, Nievera MC. 2023. Targeted literature review of the burden of extraintestinal pathogenic Escherichia coli among elderly patients in Asia pacific regions. J Med Econ 26:168–178. doi: 10.1080/13696998.2023.2169447 [DOI] [PubMed] [Google Scholar]
  • 14. Al-Hasan MN, Razonable RR, Eckel-Passow JE, Baddour LM. 2009. Incidence rate and outcome of gram-negative bloodstream infection in solid organ transplant recipients. Am J Transplant 9:835–843. doi: 10.1111/j.1600-6143.2009.02559.x [DOI] [PubMed] [Google Scholar]
  • 15. Qiao B, Wu J, Wan Q, Zhang S, Ye Q. 2017. Factors influencing mortality in abdominal solid organ transplant recipients with multidrug-resistant gram-negative bacteremia. BMC Infect Dis 17:171. doi: 10.1186/s12879-017-2276-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Pitout JDD, DeVinney R. 2017. Escherichia coli ST131: a multidrug-resistant clone primed for global domination. F1000Res 6:F1000 Faculty Rev-195. doi: 10.12688/f1000research.10609.1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Nicolas-Chanoine MH, Bertrand X, Madec JY. 2014. Escherichia coli ST131, an intriguing clonal group. Clin Microbiol Rev 27:543–574. doi: 10.1128/CMR.00125-13 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Shaik S, Ranjan A, Tiwari SK, Hussain A, Nandanwar N, Kumar N, Jadhav S, Semmler T, Baddam R, Islam MA, Alam M, Wieler LH, Watanabe H, Ahmed N. 2017. Comparative genomic analysis of globally dominant ST131 clone with other epidemiologically successful extraintestinal pathogenic Escherichia coli (ExPEC) lineages. mBio 8:e01596-17. doi: 10.1128/mBio.01596-17 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Johnson JR, Johnston B, Clabots C, Kuskowski MA, Castanheira M. 2010. Escherichia coli sequence type ST131 as the major cause of serious multidrug-resistant E. coli infections in the United States. Clin Infect Dis 51:286–294. doi: 10.1086/653932 [DOI] [PubMed] [Google Scholar]
  • 20. Tchesnokova V, Riddell K, Scholes D, Johnson JR, Sokurenko EV. 2019. The uropathogenic Escherichia coli subclone sequence type 131-H30 is responsible for most antibiotic prescription errors at an urgent care clinic. Clin Infect Dis 68:781–787. doi: 10.1093/cid/ciy523 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Johnson JR. 2017. Epidemic emergence in the United States of Escherichia coli sequence type 131-H30 (ST131-H30), 2000 to 2009. Antimicrob Agents Chemother 25:e00732-17. doi: 10.1128/AAC.00732-17 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Xia F, Cheng J, Jiang M, Wang Z, Wen Z, Wang M, Ren J, Zhuge X. 2022. Genomics analysis to identify multiple genetic determinants that drive the global transmission of the pandemic ST95 lineage of extraintestinal pathogenic Escherichia coli (ExPEC). Pathogens 11:1489. doi: 10.3390/pathogens11121489 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Riley LW. 2014. Pandemic lineages of extraintestinal pathogenic Escherichia coli. Clin Microbiol Infect 20:380–390. doi: 10.1111/1469-0691.12646 [DOI] [PubMed] [Google Scholar]
  • 24. Wu J, Bao C, Reinhardt RL, Abraham SN. 2021. Local induction of bladder Th1 responses to combat urinary tract infections. Proc Natl Acad Sci U S A 118:e2026461118. doi: 10.1073/pnas.2026461118 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Luzuriaga MA, Herbert FC, Brohlin OR, Gadhvi J, Howlett T, Shahrivarkevishahi A, Wijesundara YH, Venkitapathi S, Veera K, Ehrman R, Benjamin CE, Popal S, Burton MD, Ingersoll MA, De Nisco NJ, Gassensmith JJ. 2021. Metal-organic framework encapsulated whole-cell vaccines enhance humoral immunity against bacterial infection. ACS Nano 15:17426–17438. doi: 10.1021/acsnano.1c03092 [DOI] [PubMed] [Google Scholar]
  • 26. Billips BK, Yaggie RE, Cashy JP, Schaeffer AJ, Klumpp DJ. 2009. A live-attenuated vaccine for the treatment of urinary tract infection by uropathogenic Escherichia coli. J Infect Dis 200:263–272. doi: 10.1086/599839 [DOI] [PubMed] [Google Scholar]
  • 27. Russo TA, Beanan JM, Olson R, Genagon SA, MacDonald U, Cope JJ, Davidson BA, Johnston B, Johnson JR. 2007. A killed, genetically engineered derivative of a wild-type extraintestinal pathogenic E. coli strain is a vaccine candidate. Vaccine 25:3859–3870. doi: 10.1016/j.vaccine.2007.01.100 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Kochiashvili D, Khuskivadze A, Kochiashvili G, Koberidze G, Kvakhajelidze V. 2014. Role of the bacterial vaccine Solco-Urovac® in treatment and prevention of recurrent urinary tract infections of bacterial origin. Georgian Med News 231:11–16. [PubMed] [Google Scholar]
  • 29. Wade D, Cooper J, Derry F, Taylor J. 2019. Uro-Vaxom® versus placebo for the prevention of recurrent symptomatic urinary tract infections in participants with chronic neurogenic bladder dysfunction: a randomised controlled feasibility study. Trials 20:223. doi: 10.1186/s13063-019-3275-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Brodie A, El-Taji O, Jour I, Foley C, Hanbury D. 2020. A retrospective study of immunotherapy treatment with Uro-Vaxom (OM-89®) for prophylaxis of recurrent urinary tract infections. Curr Urol 14:130–134. doi: 10.1159/000499248 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Chorro L, Li Z, Chu L, Singh S, Gu J, Kim J-H, Dutta K, Pan R, Kodali S, Ndreu D, Patel A, Hawkins JC, Ponce C, Silmon de Monerri N, Keeney D, Illenberger A, Jones CH, Andrew L, Lotvin J, Prasad AK, Kanevsky I, Jansen KU, Anderson AS, Donald RGK. 2022. Preclinical immunogenicity and efficacy of optimized O25b O-antigen glycoconjugates to prevent MDR ST131 E. coli infections. Infect Immun 90:e0002222. doi: 10.1128/iai.00022-22 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Naini A, Bartetzko MP, Sanapala SR, Broecker F, Wirtz V, Lisboa MP, Parameswarappa SG, Knopp D, Przygodda J, Hakelberg M, Pan R, Patel A, Chorro L, Illenberger A, Ponce C, Kodali S, Lypowy J, Anderson AS, Donald RGK, von Bonin A, Pereira CL. 2022. Semisynthetic glycoconjugate vaccine candidates against Escherichia coli O25B induce functional IgG antibodies in mice. JACS Au 2:2135–2151. doi: 10.1021/jacsau.2c00401 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Kowarik M, Wetter M, Haeuptle MA, Braun M, Steffen M, Kemmler S, Ravenscroft N, De Benedetto G, Zuppiger M, Sirena D, Cescutti P, Wacker M. 2021. The development and characterization of an E. coli O25B bioconjugate vaccine. Glycoconj J 38:421–435. doi: 10.1007/s10719-021-09985-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Asadi Karam MR, Habibi M, Bouzari S. 2016. Use of flagellin and cholera toxin as adjuvants in intranasal vaccination of mice to enhance protective immune responses against uropathogenic Escherichia coli antigens. Biologicals 44:378–386. doi: 10.1016/j.biologicals.2016.06.006 [DOI] [PubMed] [Google Scholar]
  • 35. Asadi Karam MR, Oloomi M, Mahdavi M, Habibi M, Bouzari S. 2013. Vaccination with recombinant FimH fused with flagellin enhances cellular and humoral immunity against urinary tract infection in mice. Vaccine 31:1210–1216. doi: 10.1016/j.vaccine.2012.12.059 [DOI] [PubMed] [Google Scholar]
  • 36. Karam MRA, Oloomi M, Mahdavi M, Habibi M, Bouzari S. 2013. Assessment of immune responses of the flagellin (FliC) fused to FimH adhesin of uropathogenic Escherichia coli. Mol Immunol 54:32–39. doi: 10.1016/j.molimm.2012.11.002 [DOI] [PubMed] [Google Scholar]
  • 37. Eldridge GR, Hughey H, Rosenberger L, Martin SM, Shapiro AM, D’Antonio E, Krejci KG, Shore N, Peterson J, Lukes AS, Starks CM. 2021. Safety and Immunogenicity of an adjuvanted Escherichia coli adhesin vaccine in healthy women with and without histories of recurrent urinary tract infections: results from a first-in-human phase 1 study. Hum Vaccin Immunother 17:1262–1270. doi: 10.1080/21645515.2020.1834807 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Nesta B, Spraggon G, Alteri C, Moriel DG, Rosini R, Veggi D, Smith S, Bertoldi I, Pastorello I, Ferlenghi I, Fontana MR, Frankel G, Mobley HLT, Rappuoli R, Pizza M, Serino L, Soriani M. 2012. FdeC, a novel broadly conserved Escherichia coli adhesin eliciting protection against urinary tract infections. mBio 3:e00010-12. doi: 10.1128/mBio.00010-12 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Roberts JA, Kaack MB, Baskin G, Chapman MR, Hunstad DA, Pinkner JS, Hultgren SJ. 2004. Antibody responses and protection from pyelonephritis following vaccination with purified Escherichia coli PapDG protein. J Urol 171:1682–1685. doi: 10.1097/01.ju.0000116123.05160.43 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Goluszko P, Goluszko E, Nowicki B, Nowicki S, Popov V, Wang HQ. 2005. Vaccination with purified Dr Fimbriae reduces mortality associated with chronic urinary tract infection due to Escherichia coli bearing Dr Adhesin. Infect Immun 73:627–631. doi: 10.1128/IAI.73.1.627-631.2005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Wieser A, Magistro G, Nörenberg D, Hoffmann C, Schubert S. 2012. First multi-epitope subunit vaccine against extraintestinal pathogenic Escherichia coli delivered by a bacterial type-3 secretion system (T3SS). Int J Med Microbiol 302:10–18. doi: 10.1016/j.ijmm.2011.09.012 [DOI] [PubMed] [Google Scholar]
  • 42. Mobley HLT, Alteri CJ. 2015. Development of a vaccine against Escherichia coli urinary tract infections. Pathogens 5:1. doi: 10.3390/pathogens5010001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. Wieser A, Romann E, Magistro G, Hoffmann C, Nörenberg D, Weinert K, Schubert S. 2010. A multiepitope subunit vaccine conveys protection against extraintestinal pathogenic Escherichia coli in mice. Infect Immun 78:3432–3442. doi: 10.1128/IAI.00174-10 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Habibi M, Asadi Karam MR, Bouzari S. 2017. Evaluation of prevalence, immunogenicity and efficacy of FyuA iron receptor in uropathogenic Escherichia coli isolates as a vaccine target against urinary tract infection. Microb Pathog 110:477–483. doi: 10.1016/j.micpath.2017.07.037 [DOI] [PubMed] [Google Scholar]
  • 45. Brumbaugh AR, Smith SN, Mobley HLT. 2013. Immunization with the yersiniabactin receptor, FyuA, protects against pyelonephritis in a murine model of urinary tract infection. Infect Immun 81:3309–3316. doi: 10.1128/IAI.00470-13 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46. Alteri CJ, Hagan EC, Sivick KE, Smith SN, Mobley HLT. 2009. Mucosal immunization with iron receptor antigens protects against urinary tract infection. PLoS Pathog 5:e1000586. doi: 10.1371/journal.ppat.1000586 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. Mike LA, Smith SN, Sumner CA, Eaton KA, Mobley HLT. 2016. Siderophore vaccine conjugates protect against uropathogenic Escherichia coli urinary tract infection. Proc Natl Acad Sci U S A 113:13468–13473. doi: 10.1073/pnas.1606324113 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. Forsyth VS, Himpsl SD, Smith SN, Sarkissian CA, Mike LA, Stocki JA, Sintsova A, Alteri CJ, Mobley HLT. 2020. Optimization of an experimental vaccine to prevent Escherichia coli urinary tract infection. mBio 11:e00555-20. doi: 10.1128/mBio.00555-20 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Mellata M, Mitchell NM, Schödel F, Curtiss R Rd, Pier GB. 2016. Novel vaccine antigen combinations elicit protective immune responses against Escherichia coli sepsis. Vaccine 34:656–662. doi: 10.1016/j.vaccine.2015.12.014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50. O’Hanley P, Lalonde G, Ji G. 1991. Alpha-hemolysin contributes to the pathogenicity of piliated digalactoside-binding Escherichia coli in the kidney: efficacy of an alpha-hemolysin vaccine in preventing renal injury in the BALB/c mouse model of pyelonephritis. Infect Immun 59:1153–1161. doi: 10.1128/iai.59.3.1153-1161.1991 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51. Moriel DG, Bertoldi I, Spagnuolo A, Marchi S, Rosini R, Nesta B, Pastorello I, Corea VAM, Torricelli G, Cartocci E, Savino S, Scarselli M, Dobrindt U, Hacker J, Tettelin H, Tallon LJ, Sullivan S, Wieler LH, Ewers C, Pickard D, Dougan G, Fontana MR, Rappuoli R, Pizza M, Serino L. 2010. Identification of protective and broadly conserved vaccine antigens from the genome of extraintestinal pathogenic Escherichia coli. Proc Natl Acad Sci U S A 107:9072–9077. doi: 10.1073/pnas.0915077107 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52. Smith MA, Weingarten RA, Russo LM, Ventura CL, O’Brien AD. 2015. Antibodies against Hemolysin and cytotoxic necrotizing factor type 1 (CNF1) reduce bladder inflammation in a mouse model of urinary tract infection with toxigenic uropathogenic Escherichia coli. Infect Immun 83:1661–1673. doi: 10.1128/IAI.02848-14 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53. Naber KG, Cho YH, Matsumoto T, Schaeffer AJ. 2009. Immunoactive prophylaxis of recurrent urinary tract infections: a meta-analysis. Int J Antimicrob Agents 33:111–119. doi: 10.1016/j.ijantimicag.2008.08.011 [DOI] [PubMed] [Google Scholar]
  • 54. Uehling DT, Hopkins WJ, Dahmer LA, Balish E. 1994. Phase I clinical trial of vaginal mucosal immunization for recurrent urinary tract infection. J Urol 152:2308–2311. doi: 10.1016/s0022-5347(17)31664-6 [DOI] [PubMed] [Google Scholar]
  • 55. Uehling DT, Hopkins WJ, Balish E, Xing Y, Heisey DM. 1997. Vaginal mucosal immunization for recurrent urinary tract infection: phase II clinical trial. J Urol 157:2049–2052. [PubMed] [Google Scholar]
  • 56. Uehling DT, Hopkins WJ, Beierle LM, Kryger JV, Heisey DM. 2001. Vaginal mucosal immunization for recurrent urinary tract infection: extended phase II clinical trial. J Infect Dis 183 Suppl 1:S81–S83. doi: 10.1086/318839 [DOI] [PubMed] [Google Scholar]
  • 57. Uehling DT, Hopkins WJ, Elkahwaji JE, Schmidt DM, Leverson GE. 2003. Phase 2 clinical trial of a vaginal mucosal vaccine for urinary tract infections. J Urol 170:867–869. doi: 10.1097/01.ju.0000075094.54767.6e [DOI] [PubMed] [Google Scholar]
  • 58. van den Dobbelsteen GPJM, Faé KC, Serroyen J, van den Nieuwenhof IM, Braun M, Haeuptle MA, Sirena D, Schneider J, Alaimo C, Lipowsky G, Gambillara-Fonck V, Wacker M, Poolman JT. 2016. Immunogenicity and safety of a tetravalent E. coli O-antigen bioconjugate vaccine in animal models. Vaccine 34:4152–4160. doi: 10.1016/j.vaccine.2016.06.067 [DOI] [PubMed] [Google Scholar]
  • 59. Huttner A, Gambillara V. 2018. The development and early clinical testing of the ExPEC4V conjugate vaccine against uropathogenic Escherichia coli. Clin Microbiol Infect 24:1046–1050. doi: 10.1016/j.cmi.2018.05.009 [DOI] [PubMed] [Google Scholar]
  • 60. Inoue M, Ogawa T, Tamura H, Hagiwara Y, Saito Y, Abbanat D, van den Dobbelsteen G, Hermans P, Thoelen S, Poolman J, Ibarra de Palacios P. 2018. Safety, tolerability and Immunogenicity of the ExPEC4V (JNJ-63871860) vaccine for prevention of invasive extraintestinal pathogenic Escherichia coli disease: a phase 1, randomized, double-blind, placebo-controlled study in healthy Japanese participants. Hum Vaccin Immunother 14:2150–2157. doi: 10.1080/21645515.2018.1474316 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61. Huttner A, Hatz C, van den Dobbelsteen G, Abbanat D, Hornacek A, Frölich R, Dreyer AM, Martin P, Davies T, Fae K, et al. 2017. Safety, immunogenicity, and preliminary clinical efficacy of a vaccine against extraintestinal pathogenic Escherichia coli in women with a history of recurrent urinary tract infection: a randomised, single-blind, placebo-controlled phase 1b trial. Lancet Infect Dis 17:528–537. doi: 10.1016/S1473-3099(17)30108-1 [DOI] [PubMed] [Google Scholar]
  • 62. Frenck RW, Ervin J, Chu L, Abbanat D, Spiessens B, Go O, Haazen W, van den Dobbelsteen G, Poolman J, Thoelen S, Ibarra de Palacios P. 2019. Safety and immunogenicity of a vaccine for extra-intestinal pathogenic Escherichia coli (ESTELLA): a phase 2 randomised controlled trial. Lancet Infect Dis 19:631–640. doi: 10.1016/S1473-3099(18)30803-X [DOI] [PubMed] [Google Scholar]
  • 63. B Smith W, Abbanat D, Spiessens B, Go O, Haazen W, de Rosa T, Fae K, Poolman J, Thoelen S, de Palacios PI. 2019. 2712. Safety and immunogenicity of two doses of ExPEC4V vaccine against extraintestinal pathogenic Escherichia coli disease in healthy adult participants. Open Forum Infect Dis 6:S954–S954. doi: 10.1093/ofid/ofz360.2389 [DOI] [Google Scholar]
  • 64. Fierro CA, Sarnecki M, Doua J, Spiessens B, Go O, Davies TA, van den Dobbelsteen G, Poolman J, Abbanat D, Haazen W. 2023. Immunogenicity, and dose selection of 10-valent extraintestinal pathogenic Escherichia coli bioconjugate vaccine (VAC52416) in adults aged 60-85 years in a randomized, multicenter, Interventional, first-in-human, phase 1/2A study. Open Forum Infect Dis 10:ofad417. doi: 10.1093/ofid/ofad417 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65. Ristow LC, Welch RA. 2016. Hemolysin of uropathogenic Escherichia coli: a cloak or a dagger? Biochim Biophys Acta 1858:538–545. doi: 10.1016/j.bbamem.2015.08.015 [DOI] [PubMed] [Google Scholar]
  • 66. Wang C, Li Q, Lv J, Sun X, Cao Y, Yu K, Miao C, Zhang ZS, Yao Z, Wang Q. 2020. Alpha-hemolysin of uropathogenic Escherichia coli induces GM-CSF-mediated acute kidney injury. Mucosal Immunol 13:22–33. doi: 10.1038/s41385-019-0225-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67. Wiles TJ, Dhakal BK, Eto DS, Mulvey MA. 2008. Inactivation of host Akt/protein kinase B signaling by bacterial pore-forming toxins. Mol Biol Cell 19:1427–1438. doi: 10.1091/mbc.e07-07-0638 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68. Dhakal BK, Mulvey MA. 2012. The UPEC pore-forming toxin α-hemolysin triggers proteolysis of host proteins to disrupt cell adhesion, inflammatory, and survival pathways. Cell Host Microbe 11:58–69. doi: 10.1016/j.chom.2011.12.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69. Nagamatsu K, Hannan TJ, Guest RL, Kostakioti M, Hadjifrangiskou M, Binkley J, Dodson K, Raivio TL, Hultgren SJ. 2015. Dysregulation of Escherichia coli α-hemolysin expression alters the course of acute and persistent urinary tract infection. Proc Natl Acad Sci U S A 112:E871–E880. doi: 10.1073/pnas.1500374112 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70. Johnsen N, Hamilton ADM, Greve AS, Christensen MG, Therkildsen JR, Wehmöller J, Skals M, Praetorius HA. 2019. Α-haemolysin production, as a single factor, causes fulminant sepsis in a model of Escherichia coli-induced bacteraemia. Cell Microbiol 21:6. doi: 10.1111/cmi.13017 [DOI] [PubMed] [Google Scholar]
  • 71. Smith YC, Rasmussen SB, Grande KK, Conran RM, O’Brien AD. 2008. Hemolysin of uropathogenic Escherichia coli evokes extensive shedding of the uroepithelium and hemorrhage in bladder tissue within the first 24 hours after Intraurethral inoculation of mice . Infect Immun 76:2978–2990. doi: 10.1128/IAI.00075-08 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72. Bien J, Sokolova O, Bozko P. 2012. Role of uropathogenic Escherichia coli virulence factors in development of urinary tract infection and kidney damage. Int J Nephrol 2012:681473. doi: 10.1155/2012/681473 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73. Daga AP, Koga VL, Soncini JGM, de Matos CM, Perugini MRE, Pelisson M, Kobayashi RKT, Vespero EC. 2019. Escherichia coli bloodstream infections in patients at a university hospital: virulence factors and clinical characteristics. Front Cell Infect Microbiol 9:191. doi: 10.3389/fcimb.2019.00191 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74. Li B, Lu Y, Lan F, He Q, Li C, Cao Y. 2017. Prevalence and characteristics of ST131 clone among unselected clinical Escherichia coli in a Chinese university hospital. Antimicrob Resist Infect Control 6:118. doi: 10.1186/s13756-017-0274-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75. Rijavec M, Müller-Premru M, Zakotnik B, Žgur-Bertok D. 2008. Virulence factors and biofilm production among Escherichia coli strains causing bacteraemia of urinary tract origin. J Med Microbiol 57:1329–1334. doi: 10.1099/jmm.0.2008/002543-0 [DOI] [PubMed] [Google Scholar]
  • 76. Karam MRA, Habibi M, Bouzari S. 2018. Relationships between virulence factors and antimicrobial resistance among Escherichia coli isolated from urinary tract infections and commensal isolates in Tehran, Iran. Osong Public Health Res Perspect 9:217–224. doi: 10.24171/j.phrp.2018.9.5.02 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77. Kim B, Kim JH, Lee Y. 2022. Virulence factors associated with Escherichia coli bacteremia and urinary tract infection. Ann Lab Med 42:203–212. doi: 10.3343/alm.2022.42.2.203 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78. Moeinizadeh H, Shaheli M. 2021. Frequency of hlyA, hlyB, hlyC and hlyD genes in uropathogenic Escherichia coli isolated from UTI patients in Shiraz. GMS Hyg Infect Control 16:Doc25. doi: 10.3205/dgkh000396 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79. Lavigne JP, Boutet-Dubois A, Laouini D, Combescure C, Bouziges N, Marès P, Sotto A. 2011. Virulence potential of Escherichia coli strains causing asymptomatic bacteriuria during pregnancy. J Clin Microbiol 49:3950–3953. doi: 10.1128/JCM.00892-11 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80. Nhu NTK, Phan MD, Forde BM, Murthy AMV, Peters KM, Day CJ, Poole J, Kidd TJ, Welch RA, Jennings MP, Ulett GC, Sweet MJ, Beatson SA, Schembri MA. 2019. Complex multilevel control of hemolysin production by uropathogenic Escherichia coli. mBio 10:e02248-19. doi: 10.1128/mBio.02248-19 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81. Clark JR, Maresso AM. 2021. Comparative pathogenomics of Escherichia coli: polyvalent vaccine target identification through virulome analysis . Infect Immun 89. doi: 10.1128/IAI.00115-21 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82. Thomas S, Bakkes PJ, Smits SHJ, Schmitt L. 2014. Equilibrium folding of pro-HlyA from Escherichia coli reveals a stable calcium ion dependent folding intermediate. Biochim Biophys Acta 1844:1500–1510. doi: 10.1016/j.bbapap.2014.05.006 [DOI] [PubMed] [Google Scholar]
  • 83. Xing Y, Clark JR, Chang JD, Chirman DM, Green S, Zulk JJ, Jelinski J, Patras KA, Maresso AW. 2023. Broad protective vaccination against systemic Escherichia coli with autotransporter antigens. PLoS Pathog 19:e1011082. doi: 10.1371/journal.ppat.1011082 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84. Johnson JR, Johnston B, Clabots C, Kuskowski MA, Castanheira M. 2010. Escherichia coli sequence type ST131 as the major cause of serious multidrug-resistant E. coli infections in the United States. Clin Infect Dis 51:286–294. doi: 10.1086/653932 [DOI] [PubMed] [Google Scholar]
  • 85. Mulvey MA, Schilling JD, Hultgren SJ. 2001. Establishment of a persistent Escherichia coli reservoir during the acute phase of a bladder infection. Infect Immun 69:4572–4579. doi: 10.1128/IAI.69.7.4572-4579.2001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86. Mobley HL, Green DM, Trifillis AL, Johnson DE, Chippendale GR, Lockatell CV, Jones BD, Warren JW. 1990. Pyelonephritogenic Escherichia coli and killing of cultured human renal proximal tubular epithelial cells: role of hemolysin in some strains. Infect Immun 58:1281–1289. doi: 10.1128/iai.58.5.1281-1289.1990 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87. O’Leary NA, Wright MW, Brister JR, Ciufo S, Haddad D, McVeigh R, Rajput B, Robbertse B, Smith-White B, Ako-Adjei D, et al. 2016. Reference sequence (RefDeq) database at NCBI: current status, taxonomic expansion, and functional annotation. Nucleic Acids Res 44:D733–D745. doi: 10.1093/nar/gkv1189 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88. Jolley KA, Maiden MCJ. 2010. BIGSdb: scalable analysis of bacterial genome variation at the population level. BMC Bioinformatics 11:595. doi: 10.1186/1471-2105-11-595 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89. Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. 1990. Basic local alignment search tool. J Mol Biol 215:403–410. doi: 10.1016/S0022-2836(05)80360-2 [DOI] [PubMed] [Google Scholar]
  • 90. Altschul SF, Madden TL, Schäffer AA, Zhang J, Zhang Z, Miller W, Lipman DJ. 1997. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res 25:3389–3402. doi: 10.1093/nar/25.17.3389 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91. Camacho C, Coulouris G, Avagyan V, Ma N, Papadopoulos J, Bealer K, Madden TL. 2009. BLAST+: architecture and applications. BMC Bioinformatics 10:421. doi: 10.1186/1471-2105-10-421 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92. Alanjary M, Steinke K, Ziemert N. 2019. AutoMLST: an automated web server for generating multi-locus species trees highlighting natural product potential. Nucleic Acids Res 47:W276–W282. doi: 10.1093/nar/gkz282 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93. Jumper J, Evans R, Pritzel A, Green T, Figurnov M, Ronneberger O, Tunyasuvunakool K, Bates R, Žídek A, Potapenko A, et al. 2021. Highly accurate protein structure prediction with AlphaFold. Nature 596:583–589. doi: 10.1038/s41586-021-03819-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94. Mirdita M, Schütze K, Moriwaki Y, Heo L, Ovchinnikov S, Steinegger M. 2022. ColabFold: making protein folding accessible to all. Nat Methods 19:679–682. doi: 10.1038/s41592-022-01488-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95. Steinegger M, Söding J. 2017. MMseqs2 enables sensitive protein sequence searching for the analysis of massive data sets. Nat Biotechnol 35:1026–1028. doi: 10.1038/nbt.3988 [DOI] [PubMed] [Google Scholar]
  • 96. Steinegger M, Söding J. 2018. Clustering huge protein sequence sets in linear time. Nat Commun 9:2542. doi: 10.1038/s41467-018-04964-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97. Mariani V, Biasini M, Barbato A, Schwede T. 2013. lDDT: a local superposition-free score for comparing protein structures and models using distance difference tests. Bioinformatics 29:2722–2728. doi: 10.1093/bioinformatics/btt473 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98. Hornak V, Abel R, Okur A, Strockbine B, Roitberg A, Simmerling C. 2006. Comparison of multiple amber force fields and development of improved protein backbone parameters. Proteins 65:712–725. doi: 10.1002/prot.21123 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99. Berman HM, Westbrook J, Feng Z, Gilliland G, Bhat TN, Weissig H, Shindyalov IN, Bourne PE. 2000. The protein data bank. Nucleic Acids Res 28:235–242. doi: 10.1093/nar/28.1.235 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100. Zhang Y, Skolnick J. 2005. TM-align: a protein structure alignment algorithm based on the TM-score. Nucleic Acids Res 33:2302–2309. doi: 10.1093/nar/gki524 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101. van Kempen M, Kim SS, Tumescheit C, Mirdita M, Lee J, Gilchrist CLM, Söding J, Steinegger M. 2024. Fast and accurate protein structure search with Foldseek. Nat Biotechnol 42:243–246. doi: 10.1038/s41587-023-01773-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102. UniProt Consortium . 2023. UniProt: the universal protein knowledgebase in 2023. Nucleic Acids Res 51:D523–D531. doi: 10.1093/nar/gkac1052 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103. Meng EC, Pettersen EF, Couch GS, Huang CC, Ferrin TE. 2006. Tools for integrated sequence-structure analysis with UCSF chimera. BMC Bioinformatics 7:339. doi: 10.1186/1471-2105-7-339 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104. Kon E, Levy Y, Elia U, Cohen H, Hazan-Halevy I, Aftalion M, Ezra A, Bar-Haim E, Naidu GS, Diesendruck Y, Rotem S, Ad-El N, Goldsmith M, Mamroud E, Peer D, Cohen O. 2023. A single-dose F1-based mRNA-LNP vaccine provides protection against the lethal plague bacterium. Sci Adv 9:eadg1036. doi: 10.1126/sciadv.adg1036 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105. Green SI, Kaelber JT, Ma L, Trautner BW, Ramig RF, Maresso AW. 2017. Bacteriophages from ExPEC reservoirs kill pandemic multidrug-resistant strains of clonal group ST131 in animal models of bacteremia. Sci Rep 7:46151. doi: 10.1038/srep46151 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 106. Patras KA, Ha AD, Rooholfada E, Olson J, Ramachandra Rao SP, Lin AE, Nizet V. 2019. Augmentation of urinary lactoferrin enhances host innate immune clearance of uropathogenic Escherichia coli. J Innate Immun 11:481–495. doi: 10.1159/000499342 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107. Emsley P, Charles IG, Fairweather NF, Isaacs NW. 1996. Structure of bordetella pertussis virulence factor P.69 pertactin. Nature 381:90–92. doi: 10.1038/381090a0 [DOI] [PubMed] [Google Scholar]
  • 108. Esposito S, Stefanelli P, Fry NK, Fedele G, He Q, Paterson P, Tan T, Knuf M, Rodrigo C, Weil Olivier C, Flanagan KL, Hung I, Lutsar I, Edwards K, O’Ryan M, Principi N. 2019. World association of infectious diseases and immunological disorders (WAidid) and the vaccine study group of the European society of clinical microbiology and infectious diseases (EVASG). Pertussis prevention: reasons for resurgence, and differences in the current acellular pertussis vaccines. Front Immunol 10:1344. doi: 10.3389/fimmu.2019.01344 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 109. Goldsmith JA, DiVenere AM, Maynard JA, McLellan JS. 2021. Structural basis for antibody binding to adenylate cyclase toxin reveals RTX linkers as neutralization-sensitive epitopes. PLoS Pathog 17:e1009920. doi: 10.1371/journal.ppat.1009920 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110. Novak WRP, Bhattacharyya B, Grilley DP, Weaver TM. 2017. Proteolysis of truncated hemolysin a yields a stable dimerization interface. Acta Crystallogr F Struct Biol Commun 73:138–145. doi: 10.1107/S2053230X17002102 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111. Pourhassan N Z, Hachani E, Spitz O, Smits SHJ, Schmitt L. 2022. Investigations on the substrate binding sites of Hemolysin B, an ABC transporter, of a type 1 secretion system. Front Microbiol 13:1055032. doi: 10.3389/fmicb.2022.1055032 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112. Gentschev I, Dietrich G, Goebel W. 2002. The E. coli alpha-hemolysin secretion system and its use in vaccine development. Trends Microbiol 10:39–45. doi: 10.1016/s0966-842x(01)02259-4 [DOI] [PubMed] [Google Scholar]
  • 113. Pourhassan N Z, Smits SHJ, Ahn JH, Schmitt L. 2021. Biotechnological applications of type 1 secretion systems. Biotechnol Adv 53:107864. doi: 10.1016/j.biotechadv.2021.107864 [DOI] [PubMed] [Google Scholar]
  • 114. Zhao H, Lee J, Chen J. 2022. The hemolysin a secretion system is a multi-engine pump containing three ABC transporters. Cell 185:3329–3340. doi: 10.1016/j.cell.2022.07.017 [DOI] [PubMed] [Google Scholar]
  • 115. Spitz O, Erenburg IN, Kanonenberg K, Peherstorfer S, Lenders MHH, Reiners J, Ma M, Luisi BF, Smits SHJ, Schmitt L. 2021. Identity determinants of the translocation signal for a type 1 secretion system. Front Physiol 12:804646. doi: 10.3389/fphys.2021.804646 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116. Thomas S, Holland IB, Schmitt L. 2014. The type 1 secretion pathway - the hemolysin system and beyond. Biochim Biophys Acta 1843:1629–1641. doi: 10.1016/j.bbamcr.2013.09.017 [DOI] [PubMed] [Google Scholar]
  • 117. Doumith M, Day M, Ciesielczuk H, Hope R, Underwood A, Reynolds R, Wain J, Livermore DM, Woodford N. 2015. Rapid identification of major Escherichia coli sequence types causing urinary tract and bloodstream infections. J Clin Microbiol 53:160–166. doi: 10.1128/JCM.02562-14 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 118. García V, Grønnemose RB, Torres-Puig S, Kudirkiene E, Piantelli M, Ahmed S, Andersen TE, Møller-Jensen J, Olsen JE, Herrero-Fresno A. 2021. Genome-wide analysis of fitness-factors in uropathogenic Escherichia coli during growth in laboratory media and during urinary tract infections. Microb Genom 7:000719. doi: 10.1099/mgen.0.000719 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 119. Welch RA, Burland V, Plunkett G, Redford P, Roesch P, Rasko D, Buckles EL, Liou S-R, Boutin A, Hackett J, Stroud D, Mayhew GF, Rose DJ, Zhou S, Schwartz DC, Perna NT, Mobley HLT, Donnenberg MS, Blattner FR. 2002. Extensive mosaic structure revealed by the complete genome sequence of uropathogenic Escherichia coli. Proc Natl Acad Sci U S A 99:17020–17024. doi: 10.1073/pnas.252529799 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120. Croxall G, Hale J, Weston V, Manning G, Cheetham P, Achtman M, McNally A. 2011. Molecular epidemiology of extraintestinal pathogenic Escherichia coli isolates from a regional cohort of elderly patients highlights the prevalence of ST131 strains with increased antimicrobial resistance in both community and hospital care settings. J Antimicrob Chemother 66:2501–2508. doi: 10.1093/jac/dkr349 [DOI] [PubMed] [Google Scholar]
  • 121. Gibreel TM, Dodgson AR, Cheesbrough J, Fox AJ, Bolton FJ, Upton M. 2012. Population structure, virulence potential and antibiotic susceptibility of uropathogenic Escherichia coli from northwest England. J Antimicrob Chemother 67:346–356. doi: 10.1093/jac/dkr451 [DOI] [PubMed] [Google Scholar]
  • 122. Klein RD, Hultgren SJ. 2020. Urinary tract infections: microbial pathogenesis, host-pathogen interactions and new treatment strategies. Nat Rev Microbiol 18:211–226. doi: 10.1038/s41579-020-0324-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 123. Russell SK, Harrison JK, Olson BS, Lee HJ, O’Brien VP, Xing X, Livny J, Yu L, Roberson EDO, Bomjan R, Fan C, Sha M, Estfanous S, Amer AO, Colonna M, Stappenbeck TS, Wang T, Hannan TJ, Hultgren SJ. 2023. Uropathogenic Escherichia coli infection-induced epithelial trained immunity impacts urinary tract disease outcome. Nat Microbiol 8:875–888. doi: 10.1038/s41564-023-01346-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 124. Elankumaran P, Cummins ML, Browning GF, Marenda MS, Reid CJ, Djordjevic SP. 2022. Genomic and temporal trends in canine ExPEC reflect those of human ExPEC. Microbiol Spectr 10:e0129122. doi: 10.1128/spectrum.01291-22 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125. Llor C, Bjerrum L. 2014. Antimicrobial resistance: risk associated with antibiotic overuse and initiatives to reduce the problem. Ther Adv Drug Saf 5:229–241. doi: 10.1177/2042098614554919 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 126. Doua J, Geurtsen J, Rodriguez-Baño J, Cornely OA, Go O, Gomila-Grange A, Kirby A, Hermans P, Gori A, Zuccaro V, Gravenstein S, Bonten M, Poolman J, Sarnecki M. 2023. Clinical features, and antimicrobial resistance of invasive Escherichia coli disease in patients admitted in tertiary care hospitals. Open Forum Infect Dis 10:ofad026. doi: 10.1093/ofid/ofad026 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 127. Wang S, Zhao S, Zhou Y, Jin S, Ye T, Pan X. 2023. Antibiotic resistance spectrum of E. coli strains from different samples and age-grouped patients: a 10-year retrospective study. BMJ Open 13:e067490. doi: 10.1136/bmjopen-2022-067490 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 128. García V, Stærk K, Alobaidallah MSA, Grønnemose RB, Guerra PR, Andersen TE, Olsen JE, Herrero-Fresno A. 2022. Genome-wide analysis of fitness factors in uropathogenic Escherichia coli in a pig urinary tract infection model. Microbiol Res 265:127202. doi: 10.1016/j.micres.2022.127202 [DOI] [PubMed] [Google Scholar]
  • 129. Shea AE, Marzoa J, Himpsl SD, Smith SN, Zhao L, Tran L, Mobley HLT. 2020. Escherichia coli CFT073 fitness factors during urinary tract infection: identification using an ordered transposon library. Appl Environ Microbiol 86:e00691-20. doi: 10.1128/AEM.00691-20 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 130. O’Brien VP, Dorsey DA, Hannan TJ, Hultgren SJ. 2018. Host restriction of Escherichia coli recurrent urinary tract infection occurs in a bacterial strain-specific manner. PLoS Pathog 14:e1007457. doi: 10.1371/journal.ppat.1007457 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 131. Nagy G, Pál T. 2008. Lipopolysaccharide: a tool and target in enterobacterial vaccine development. Biol Chem 389:513–520. doi: 10.1515/bc.2008.056 [DOI] [PubMed] [Google Scholar]
  • 132. Schiff DE, Wass CA, Cryz SJ, Cross AS, Kim KS. 1993. Estimation of protective levels of anti-O-specific Lipopolysaccharide immunoglobulin G antibody against experimental Escherichia coli infection. Infect Immun 61:975–980. doi: 10.1128/iai.61.3.975-980.1993 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 133. Upadhyay I, Lauder KL, Li S, Ptacek G, Zhang W. 2022. Intramuscularly administered enterotoxigenic Escherichia coli (ETEC) vaccine candidate MecVax prevented H10407 intestinal colonization in an adult rabbit colonization model. Microbiol Spectr 10:e0147322. doi: 10.1128/spectrum.01473-22 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 134. Lee T, Gutiérrez RL, Maciel M, Poole S, Testa KJ, Trop S, Duplessis C, Lane A, Riddle MS, Hamer M, Alcala A, Prouty M, Maier N, Erdem R, Louis Bourgeois A, Porter CK. 2021. Safety and immunogenicity of intramuscularly administered CS6 subunit vaccine with a modified heat-labile enterotoxin from enterotoxigenic Escherichia coli. Vaccine 39:5548–5556. doi: 10.1016/j.vaccine.2021.08.032 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 135. Nizard M, Diniz MO, Roussel H, Tran T, Ferreira LC, Badoual C, Tartour E. 2014. Mucosal vaccines: novel strategies and applications for the control of pathogens and tumors at mucosal sites. Hum Vaccin Immunother 10:2175–2187. doi: 10.4161/hv.29269 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 136. Lycke N. 2012. Recent progress in mucosal vaccine development: potential and limitations. Nat Rev Immunol 12:592–605. doi: 10.1038/nri3251 [DOI] [PubMed] [Google Scholar]
  • 137. Verma SK, Mahajan P, Singh NK, Gupta A, Aggarwal R, Rappuoli R, Johri AK. 2023. New-age vaccine adjuvants, their development, and future perspective. Front Immunol 14:1043109. doi: 10.3389/fimmu.2023.1043109 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 138. Lindblad EB. 2004. Aluminium adjuvants--in retrospect and prospect. Vaccine 22:3658–3668. doi: 10.1016/j.vaccine.2004.03.032 [DOI] [PubMed] [Google Scholar]
  • 139. Wu J, Hayes BW, Phoenix C, Macias GS, Miao Y, Choi HW, Hughes FM, Todd Purves J, Lee Reinhardt R, Abraham SN. 2020. A highly polarized TH2 bladder response to infection promotes epithelial repair at the expense of preventing new infections. Nat Immunol 21:671–683. doi: 10.1038/s41590-020-0688-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 140. Komai-Koma M, Ji Y, Cao H, Liu Z, McSharry C, Xu D. 2021. Monophosphoryl lipid A directly regulates TH1 cytokine production in human CD4+ T-cells through toll-like receptor 2 and 4. Immunobiology 226:152132. doi: 10.1016/j.imbio.2021.152132 [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Fig. S1. iai.00440-23-s0001.docx.

Evaluating the protective efficacy of pro-HlyA antigen alone against the mixture of ST131 ExPEC strains infection in the murine model of mortality.

iai.00440-23-s0001.docx (184.1KB, docx)
DOI: 10.1128/iai.00440-23.SuF1
Fig. S2. iai.00440-23-s0002.docx.

Evaluating the protective efficacy of Dual-Hit mRNA vaccine against UTI89 infection in the murine model of mortality.

iai.00440-23-s0002.docx (174.6KB, docx)
DOI: 10.1128/iai.00440-23.SuF2
Fig. S3. iai.00440-23-s0003.docx.

Assessment of the protective efficacy of pro-HlyA or Dual-Hit against either UTI89 or CFT073 colonization in the murine model of gastrointestinal (GI) tract.

iai.00440-23-s0003.docx (193.1KB, docx)
DOI: 10.1128/iai.00440-23.SuF3

Articles from Infection and Immunity are provided here courtesy of American Society for Microbiology (ASM)

RESOURCES