Decreased Antibiotic Susceptibility Driven by Global Remodeling of the Klebsiella pneumoniae Proteome

Bacteria can circumvent the effect of antibiotics by transitioning to a poorly understood physiological state that does not involve conventional genetic elements of resistance. Here we examine antibiotic susceptibility with a Class A β-lactamase+ invasive strain of Klebsiella pneumoniae that was isolated from a lethal outbreak within laboratory colonies of Chlorocebus aethiops sabaeus monkeys. Bacterial responses to the ribosomal synthesis inhibitors streptomycin and doxycycline resulted in distinct proteomic adjustments that facilitated decreased susceptibility to each antibiotic. Drug-specific changes to proteomes included proteins for receptor-mediated membrane transport and sugar utilization, central metabolism, and capsule production, whereas mechanisms common to both antibiotics included elevated scavenging of reactive oxygen species and turnover of misfolded proteins. Resistance to combined antibiotics presented integrated adjustments to protein levels as well as unique drug-specific proteomic features. Our results demonstrate that dampening of Klebsiella pneumoniae susceptibility involves global remodeling of the bacterial proteome to counter the effects of antibiotics and stabilize growth.

Impact of Dengue Virus Serotype 2 Strain Diversity on Serological Immune Responses to Dengue

Dengue is a mosquito-borne disease caused by four dengue virus serotypes (DENV1-4) that are loosely categorized by sequence commonalities and antibody recognition profiles. The highly variable envelope protein (E) that is prominently displayed on the surface of DENV is an essential component of vaccines currently under development, yet the impact of using single strains to represent each serotype in tetravalent vaccines has not been adequately studied. We synthesized chimeric E by replacing highly variable residues from a dengue virus serotype 2 vaccine strain (PUO-218) with those from 16 DENV2 lineages spanning 60 years of antigen evolution. Examining sera from human and rhesus macaques challenged with single strains of DENV2, antibody-E interactions were markedly inhibited or enhanced by residues mainly focused within a 480 Ų footprint displayed on the E backbone. The striking impact of E diversity on polyclonal immune responses suggests that frequent antigen updates may be necessary for vaccines to counter shifts in circulating strains.

Human Antibody Responses to Emerging Mayaro Virus and Cocirculating Alphavirus Infections Examined by Using Structural Proteins from Nine New and Old World Lineages

Mayaro virus (MAYV), Venezuelan equine encephalitis virus (VEEV), and chikungunya virus (CHIKV) are vector-borne alphaviruses that cocirculate in South America. Human infections by these viruses are frequently underdiagnosed or misdiagnosed, especially in areas with high dengue virus endemicity. Disease may progress to debilitating arthralgia (MAYV, CHIKV), encephalitis (VEEV), and death. Few standardized serological assays exist for specific human alphavirus infection detection, and antigen cross-reactivity can be problematic. Therefore, serological platforms that aid in the specific detection of multiple alphavirus infections will greatly expand disease surveillance for these emerging infections. In this study, serum samples from South American patients with PCR- and/or isolation-confirmed infections caused by MAYV, VEEV, and CHIKV were examined by using a protein microarray assembled with recombinant capsid, envelope protein 1 (E1), and E2 from nine New and Old World alphaviruses. Notably, specific antibody recognition of E1 was observed only with MAYV infections, whereas E2 was specifically targeted by antibodies from all of the alphavirus infections investigated, with evidence of cross-reactivity to E2 of o'nyong-nyong virus only in CHIKV-infected patient serum samples. Our findings suggest that alphavirus structural protein microarrays can distinguish infections caused by MAYV, VEEV, and CHIKV and that this multiplexed serological platform could be useful for high-throughput disease surveillance. IMPORTANCE Mayaro, chikungunya, and Venezuelan equine encephalitis viruses are closely related alphaviruses that are spread by mosquitos, causing diseases that produce similar influenza-like symptoms or more severe illnesses. Moreover, alphavirus infection symptoms can be similar to those of dengue or Zika disease, leading to underreporting of cases and potential misdiagnoses. New methods that can be used to detect antibody responses to multiple alphaviruses within the same assay would greatly aid disease surveillance efforts. However, possible antibody cross-reactivity between viruses can reduce the quality of laboratory results. Our results demonstrate that antibody responses to multiple alphaviruses can be specifically quantified within the same assay by using selected recombinant protein antigens and further show that Mayaro virus infections result in unique responses to viral envelope proteins.

Antibody Responses to Zika Virus Infections in Environments of Flavivirus Endemicity

Zika virus (ZIKV) infections occur in areas where dengue virus (DENV), West Nile virus (WNV), yellow fever virus (YFV), and other viruses of the genus Flavivirus cocirculate. The envelope (E) proteins of these closely related flaviviruses induce specific long-term immunity, yet subsequent infections are associated with cross-reactive antibody responses that may enhance disease susceptibility and severity. To gain a better understanding of ZIKV infections against a background of similar viral diseases, we examined serological immune responses to ZIKV, WNV, DENV, and YFV infections of humans and nonhuman primates (NHPs). Using printed microarrays, we detected very specific antibody responses to primary infections with probes of recombinant E proteins from 15 species and lineages of flaviviruses pathogenic to humans, while high cross-reactivity between ZIKV and DENV was observed with 11 printed native viruses. Notably, antibodies from human primary ZIKV or secondary DENV infections that occurred in areas where flavivirus is endemic broadly recognized E proteins from many flaviviruses, especially DENV, indicating a strong influence of infection history on immune responses. A predictive algorithm was used to tentatively identify previous encounters with specific flaviviruses based on serum antibody interactions with the multispecies panel of E proteins. These results illustrate the potential impact of exposure to related viruses on the outcome of ZIKV infection and offer considerations for development of vaccines and diagnostics.

Antibiotic-dependent perturbations of extended spectrum beta-lactamase producing Klebsiella pneumoniae proteome

Extended spectrum beta-lactamase producing Klebsiella pneumoniae (ESBL-KP) causes life-threatening infections in susceptible and immuno-compromised individuals. Because of the emergence of multidrug resistance and tolerance, it is crucial to better understand the mechanisms by which ESBL-KP can adapt to antibiotic stress. The aim of this study was to provide an overview of the global proteome changes occurring in ESBL-KP in response to sub-lethal concentrations of the antibiotics doxycycline (DC, bacteriostatic) and streptomycin (SM, bactericidal), which both impair ribosomal synthesis of bacterial proteins. These results represent the greatest experimental coverage of the ESBL-KP proteome yet described. The 1538 proteins, representing 30% of the 5126 predicted KP gene products were identified from the combined experimental groups. Antibiotic stress resulted in significantly elevated levels of 42 proteins for DC and 55 for SM treatments, whereas 53 proteins were reduced for DC- and six for SM-treated bacteria. Specifically, the ESBL-KP response to DC was accompanied by the reduced levels of the porins LamB, CirA, FepA, and OmpC. In contrast to DC, the stress response to SM demonstrated a dramatic increase in the peroxidase detoxification pathway proteins PutA, KatG, KatE, and Dps, which prevent harmful hydroxyl radical formation. The results from this proteomic study are important for understanding adaptive responses to antibiotics, and may provide novel targets for the development of new therapeutic strategies.

Cell-free Determination of Binary Complexes That Comprise Extended Protein-Protein Interaction Networks of Yersinia pestis

Binary protein interactions form the basic building blocks of molecular networks and dynamic assemblies that control all cellular functions of bacteria. Although these protein interactions are a potential source of targets for the development of new antibiotics, few high-confidence data sets are available for the large proteomes of most pathogenic bacteria. We used a library of recombinant proteins from the plague bacterium Yersinia pestis to probe planar microarrays of immobilized proteins that represented ∼85% (3552 proteins) of the bacterial proteome, resulting in >77,000 experimentally determined binary interactions. Moderate (K_D ∼μm) to high-affinity (K_D ∼nm) interactions were characterized for >1600 binary complexes by surface plasmon resonance imaging of microarrayed proteins. Core binary interactions that were in common with other gram-negative bacteria were identified from the results of both microarray methods. Clustering of proteins within the interaction network by function revealed statistically enriched complexes and pathways involved in replication, biosynthesis, virulence, metabolism, and other diverse biological processes. The interaction pathways included many proteins with no previously known function. Further, a large assembly of proteins linked to transcription and translation were contained within highly interconnected subregions of the network. The two-tiered microarray approach used here is an innovative method for detecting binary interactions, and the resulting data will serve as a critical resource for the analysis of protein interaction networks that function within an important human pathogen.

Analysis of the human immune response to vaccinia by use of a novel protein microarray suggests that antibodies recognize less than 10% of the total viral proteome

Control of smallpox by mass vaccination was one of the most effective public health measures ever employed for eradicating a devastating infectious disease. However, new methods are needed for monitoring smallpox immunity within current vulnerable populations, and for the development of replacement vaccines for use by immunocompromized or low-responding individuals. As a measure for achieving this goal, we developed a protein microarray of the vaccinia virus proteome by using high-throughput baculovirus expression and purification of individual elements. The array was validated with therapeutic-grade, human hyperimmune sera, and these data were compared to results obtained from individuals vaccinated against smallpox using Dryvax. A high level of reproducibility with a very low background were apparent in repetitive assays that confirmed previously reported antigens and identified new proteins that may be important for neutralizing viral infection. Our results suggest that proteins recognized by antibodies from all vaccinees constituted <10% of the total vaccinia proteome.

Extensive antibody cross-reactivity among infectious gram-negative bacteria revealed by proteome microarray analysis

Antibodies provide a sensitive indicator of proteins displayed by bacteria during sepsis. Because signals produced by infection are naturally amplified during the antibody response, host immunity can be used to identify biomarkers for proteins that are present at levels currently below detectable limits. We developed a microarray comprising approximately 70% of the 4066 proteins contained within the Yersinia pestis proteome to identify antibody biomarkers distinguishing plague from infections caused by other bacterial pathogens that may initially present similar clinical symptoms. We first examined rabbit antibodies produced against proteomes extracted from Y. pestis, Burkholderia mallei, Burkholderia cepecia, Burkholderia pseudomallei, Pseudomonas aeruginosa, Salmonella typhimurium, Shigella flexneri, and Escherichia coli, all pathogenic Gram-negative bacteria. These antibodies enabled detection of shared cross-reactive proteins, fingerprint proteins common for two or more bacteria, and signature proteins specific to each pathogen. Recognition by rabbit and non-human primate antibodies involved less than 100 of the thousands of proteins present within the Y. pestis proteome. Further antigen binding patterns were revealed that could distinguish plague from anthrax, caused by the Gram-positive bacterium Bacillus anthracis, using sera from acutely infected or convalescent primates. Thus, our results demonstrate potential biomarkers that are either specific to one strain or common to several species of pathogenic bacteria.

Comprehensive Analysis of the Antibody Response to Yersinia pestis by use of a Novel Whole Proteome Microarray (47.3)

A novel proteome microarray representing the majority of the 4086 Yersinia pestis KIM proteins was produced by high-throughput expression and purification. Rabbit hyper-immune sera were produced against proteomes extracted from several pathogenic gram-negative bacteria for use in validation assays. The antibody profile from each of the rabbits enabled detection of:

shared cross-reactive proteinssignature proteins common for two or more bacteria, andfingerprint proteins specific to each pathogen.

Unique proteins were recognized by convalescence sera from mice that survived plague following immunization with the experimental F1-V vaccine. Several new antigens were discovered that were recognized by antibody from rhesus that survived plague, whereas these Y. pestis proteins were not recognized by sera from animals surviving challenge with spores of the gram-positive Bacillus anthracis. Finally, analysis of sera from cynomolgus macaques acutely infected with Y. pestis or Bacillus anthracis produced antibody-binding patterns that were unique biomarkers for each disease. Our results demonstrate that the whole proteome microarray platform is very useful for establishing diagnostic biomarkers, detecting antibody responses to proteins that could potentially show promise in vaccine development, and also for determining the degree of antigen-cross reactivity between different strains or species of bacteria.