SdrE antibody is an immunoglobulin that specifically binds to the S. aureus Ser-Asp-rich repeat protein E (SdrE), a cell wall-anchored antigen containing three CnaB domains (CnaBE1, CnaBE2, CnaBE3). The antibody primarily targets the CnaBE3 domain, which is critical for bacterial adhesion to host tissues and evasion of immune responses .
Neutralization: Reduces kidney abscess formation in murine models by blocking SdrE-mediated adhesion .
Cross-reactivity: Elicits protection against S. aureus strains lacking SdrE, suggesting broader immune activation .
Protease resistance: The CnaBE3 domain’s isopeptide bond confers trypsin resistance, stabilizing antibody-antigen interactions .
Vaccine development: Recombinant SdrE fragments (e.g., SEQ ID NO: 3) are used in immunogenic compositions to induce protective antibodies .
Diagnostics: Potential use in ELISA or flow cytometry to detect S. aureus infections, leveraging high specificity for SdrE .
Therapeutic engineering: sdAb derivatives could enhance blood-brain barrier penetration for treating CNS infections .
KEGG: sav:SAV0563
STRING: 158878.SAV0563
SdrE is a surface-associated protein of Staphylococcus aureus belonging to the family of surface proteins with serine-aspartate repeats (Sdr), which includes other members like SdrC, SdrD, and clumping factors (ClfA and ClfB) . SdrE plays a critical role in S. aureus pathogenicity by binding to the complement regulatory protein factor H (fH), which inhibits the alternative pathway of complement activation . This binding represents a crucial immune evasion mechanism that allows S. aureus to evade host defenses.
SdrE recruitment of factor H provides a survival advantage for S. aureus by negatively affecting the formation of complement activating complexes, thereby dampening the host immune response . Studies have shown that 90% of 497 S. aureus isolates tested were sdrE positive, with SdrE-expressing strains typically associated with invasive infections .
SdrE contributes to S. aureus immune evasion through a specific molecular interaction with the host complement regulatory protein factor H (fH). This process occurs through several documented mechanisms:
SdrE binds fH in both a time- and dose-dependent manner, whether fH is purified or present in serum .
SdrE-bound fH maintains its cofactor functionality for factor I (fI)-mediated cleavage of C3b to iC3b .
The generation of iC3b positively correlates with increasing amounts of fH bound to SdrE .
Cleaved C3b (iC3b) can no longer participate in the formation of C3- and C5-convertases, which negatively affects amplification of the complement cascade .
Surface expression of SdrE leads to reduced C3-fragment deposition, decreased C5a generation, and reduced killing by polymorphonuclear cells .
Experimental evidence using a gain-of-function Lactococcus lactis model demonstrated that SdrE expression on the bacterial surface significantly enhances fH recruitment, which confirms the rSdrE-fH binding functionality . This recruitment ultimately results in decreased phagocytosis and enhanced bacterial survival.
Developing antibodies targeting specific epitopes of SdrE can be approached through both traditional and rational design methods. Based on current research, the following methodological approaches are recommended:
Rational Design Approach: Although not specifically described for SdrE in the literature, rational design methods that have been successful for other targets can be applied. This involves:
Identification of a peptide complementary to a target region within SdrE
Grafting this peptide onto the complementarity-determining region (CDR) of an antibody scaffold
Using computational tools such as homology modeling with PIGS server or the AbPredict algorithm to create 3D structures
Refining the structure through molecular dynamics simulations
Stable Antibody Scaffold Selection: Choose a stable antibody scaffold, such as a human heavy chain variable (VH) domain that:
Validation Methods:
Test binding affinity using techniques like ELISA or surface plasmon resonance
Confirm specificity through western blotting or immunoprecipitation
Evaluate functional impact in relevant biological assays (e.g., complement activation assays)
The successful antibody should demonstrate good expression in bacteria (>5 mg/L), high purity after a single chromatography step (>95%), and stability in its folded state .
Evaluating SdrE antibody specificity and cross-reactivity requires a multi-faceted approach to ensure reliable research outcomes:
Recommended Experimental Protocol:
Primary Specificity Testing:
Western blot analysis against purified SdrE, related Sdr proteins (SdrC, SdrD), and unrelated S. aureus surface proteins
Immunoprecipitation of SdrE from S. aureus cell lysates
ELISA assays with purified target proteins
Cross-reactivity Assessment:
Advanced Specificity Characterization:
Computational Validation:
When interpreting results, it's important to establish clear threshold criteria for specific versus non-specific binding based on appropriate controls and statistical analysis of binding curves.
SdrE antibodies serve as powerful tools for investigating S. aureus virulence mechanisms through multiple experimental approaches:
Visualizing SdrE Expression and Localization:
Immunofluorescence microscopy to detect SdrE on the bacterial surface
Flow cytometry to quantify SdrE expression levels across different S. aureus strains
Immunoelectron microscopy for precise subcellular localization
Functional Blocking Studies:
Pathogenesis Investigations:
In vivo tracking of SdrE-expressing bacteria during infection
Correlation of SdrE expression with disease severity in clinical isolates
Assessment of SdrE contribution to biofilm formation
Vaccine Development Support:
Research findings indicate that SdrE-specific antibodies can provide valuable insights into S. aureus immune evasion strategies. For instance, studies using a gain-of-function L. lactis model demonstrated that SdrE expression led to decreased C3-fragment deposition, reduced C5a generation, and diminished neutrophil-mediated killing—all of which could be monitored and potentially blocked using SdrE-specific antibodies .
SdrE has emerged as a promising vaccine antigen candidate based on several key findings:
Protective Immunity Evidence:
Vaccine Formulation Potential:
When combined with IsdA, IsdB, and SdrD in a quadrivalent vaccine, SdrE contributed to high levels of protection against invasive disease or lethal challenge with human clinical S. aureus isolates
The combined vaccine elicited immune responses with greater protective immunity than immunization with individual components
Human Immunogenicity:
| Antigen | Protective Immunity | Opsonophagocytic Activity | Human Immunogenicity | Function |
|---|---|---|---|---|
| SdrE | Significant | Positive correlation | Demonstrated | Factor H binding/complement evasion |
| SdrD | Significant | Positive correlation | Demonstrated | Unknown (likely ECM binding) |
| IsdA | Significant | Positive correlation | Not specified | Heme iron uptake |
| IsdB | Significant | Positive correlation | Demonstrated | Hemoglobin binding/iron scavenging |
Research suggests a functional correlation between antibody titers for these surface antigens, the opsonophagocytic properties of these antibodies, and protective immunity . This correlation provides a rational basis for developing vaccines that can protect humans at high risk for invasive S. aureus infection.
Computational approaches offer powerful methods to enhance SdrE antibody design and characterization:
Antibody Structure Modeling:
Homology modeling using specialized servers like PIGS (http://circe.med.uniroma1.it/pigs) provides a rapid method for generating initial antibody structures
The AbPredict algorithm combines segments from various antibodies and samples large conformational space to identify low-energy homology models
Molecular dynamics simulations can refine these models by exploring the conformational flexibility of the antibody-antigen complex
Epitope Prediction and Analysis:
Computational tools can identify potentially immunogenic regions within SdrE
Molecular docking simulations can predict antibody-antigen interactions at atomic resolution
Energy calculations can evaluate the strength of these interactions and help prioritize candidate antibodies
Optimization of Antibody Properties:
Validation Metrics:
Key residues identified by computational approaches can be experimentally validated through site-directed mutagenesis
The glycan-antigen contact surface predicted computationally can be compared with results from saturation transfer difference NMR (STD-NMR)
Binding affinity predictions can be correlated with experimental measurements
The integration of computational approaches with experimental validation creates a powerful iterative process for antibody design. For example, after generating thousands of plausible antibody-glycan complex models through automated docking and molecular dynamics, experimental data like STD-NMR results can be used as selection metrics to identify the optimal 3D model .
Several sophisticated techniques can effectively analyze the kinetics of SdrE-antibody interactions:
Surface Plasmon Resonance (SPR):
Provides real-time, label-free measurement of binding kinetics
Determines association (kon) and dissociation (koff) rate constants
Calculates equilibrium dissociation constant (KD)
Allows temperature-dependent analysis to determine thermodynamic parameters
Bio-Layer Interferometry (BLI):
Alternative optical technique for real-time binding analysis
Requires less sample than SPR
Useful for high-throughput screening of antibody variants
Isothermal Titration Calorimetry (ITC):
Measures heat released or absorbed during binding
Provides complete thermodynamic profile (ΔH, ΔS, ΔG)
Can determine stoichiometry of the interaction
Microscale Thermophoresis (MST):
Detects changes in the movement of molecules along temperature gradients
Requires minimal sample amounts
Works well with crude sample preparations
Advanced NMR Techniques:
Data Interpretation Guidance:
For accurate kinetic analysis, use global fitting of data at multiple concentrations
Include control surfaces/samples to account for non-specific binding
Consider mass transport limitations that may affect kinetic parameters
Validate results across multiple techniques when possible
Understanding the kinetics of SdrE-antibody interactions is crucial for developing therapeutic antibodies and evaluating their potential efficacy in neutralizing SdrE's immune evasion functions.
Researchers working with SdrE antibodies may encounter several technical challenges that require specific troubleshooting strategies:
Inconsistent Antibody Binding
Potential Causes: Conformational changes in SdrE, interference from other S. aureus surface proteins, or variation in SdrE expression levels
Solutions:
Cross-Reactivity with Other Sdr Family Proteins
Potential Causes: Structural similarity between SdrE and other Sdr proteins (SdrC, SdrD)
Solutions:
Perform detailed cross-reactivity testing against all Sdr family proteins
Use computational approaches to identify unique epitopes within SdrE
Create antibodies targeting the most divergent regions of SdrE
Validate specificity using sdrE knockout mutants as negative controls
Variable Results in Functional Assays
Potential Causes: Inconsistent factor H levels in serum samples, variation in complement activity
Solutions:
Poor Antibody Performance in Complex Biological Samples
Potential Causes: Matrix effects, competitive binding from other proteins
Solutions:
Optimize sample preparation methods to reduce interference
Use more sensitive detection methods (e.g., amplified ELISA systems)
Consider using antibody pairs targeting different epitopes for capture/detection
Designing robust experiments to study SdrE's contribution to S. aureus virulence requires careful planning:
Recommended Experimental Design Framework:
Bacterial Strain Selection and Preparation:
Include wild-type S. aureus (SdrE+), isogenic sdrE deletion mutant, and complemented strain
Consider using surrogate models like L. lactis expressing SdrE for gain-of-function studies
Verify SdrE expression/absence by Western blot before animal experiments
Standardize bacterial inoculum preparation for consistency
Animal Model Selection:
Acute Infection Models:
Chronic Infection Models:
Endocarditis model (relevant given SdrE's role in immune evasion)
Osteomyelitis model for bone infections
Implant-associated biofilm model
Intervention Strategies:
Outcome Measurements:
Bacterial load in tissues (CFU counting)
Histopathological assessment of inflammation and tissue damage
Flow cytometry analysis of immune cell infiltration
Cytokine/chemokine profiling
Survival rates and clinical scoring
Mechanistic Studies:
Ex vivo analysis of bacterial samples recovered from animals
Assessment of SdrE expression levels during infection
Measurement of factor H recruitment in vivo
Complement deposition analysis on bacterial surfaces
Neutrophil phagocytosis assays with bacteria recovered from animals
Controls and Variables to Consider:
Include multiple S. aureus clinical isolates to ensure findings are not strain-specific
Control for potential compensatory mechanisms in sdrE mutants
Consider sex as a biological variable in animal studies
Include appropriate sample sizes based on power calculations
This comprehensive approach will help researchers generate robust data on SdrE's contribution to virulence while addressing potential confounding factors.
Interpreting contradictory results between serological and microbiological detection of S. aureus requires a systematic analytical approach:
Understanding Common Discrepancies:
Research has documented several patterns of discrepancy between serological and microbiological detection:
Serology confirming microbiological diagnosis in only a minority of cases (2/13 in one study)
Serology contradicting microbiological diagnosis in some cases (3/13)
Serology identifying pathogens where microbiological diagnosis failed (3/13)
Negative serology with positive microbiological diagnosis (3/13)
Both serology and microbiological diagnosis being negative (2/13)
Analytical Framework for Resolving Contradictions:
| Scenario | Possible Explanations | Recommended Actions |
|---|---|---|
| Positive microbiology, Negative serology | Early infection stage before antibody response; Immunosuppression; Antigenic variation in SdrE | Collect follow-up samples; Test for additional antigens; Sequence sdrE gene from isolate |
| Negative microbiology, Positive serology | Prior exposure without active infection; Cross-reactive antibodies; Non-cultivable bacteria | Use molecular detection methods; Assess antibody specificity; Evaluate for persistent infection |
| Conflicting microbiology and serology | Mixed infection; Contamination; Technical issues | Use multiple detection methods; Sequence isolates; Employ species-specific PCR |
Temporal Considerations:
Antibody kinetics during infection progression should be considered
In some cases, increases in antibody levels were observed to be directed against gut microbes, supporting the leaky gut hypothesis
Analysis of back-up and follow-up plasma samples can provide valuable information about antibody response kinetics
Technical Validation Steps:
Confirm specificity of serological assays for SdrE
Verify growth conditions for optimal SdrE expression in microbiological cultures
Consider the impact of antibiotic treatment prior to sampling
Examine whether the SdrE variant in the infecting strain matches the antigen used in serological tests
When faced with contradictory results, researchers should not automatically privilege one method over the other, but rather consider the biological and technical factors that could explain the discrepancy. Integration of multiple detection methods and longitudinal sampling can help resolve these contradictions.
Selecting appropriate statistical approaches for analyzing SdrE antibody data requires consideration of the specific experimental design and data characteristics:
For Binding and Affinity Studies:
Nonlinear regression to fit binding curves and determine KD values
Scatchard analysis for multiple binding site characterization
Statistical moments analysis for heterogeneous binding populations
Bootstrap methods to generate confidence intervals for binding parameters
For Comparative Studies (e.g., wild-type vs. mutant SdrE):
Student's t-test (paired or unpaired) for comparing two groups
ANOVA with post-hoc tests (e.g., Tukey's, Bonferroni) for multiple group comparisons
Non-parametric alternatives (Mann-Whitney U, Kruskal-Wallis) when normality assumptions are violated
Mixed-effects models for repeated measures designs
For Clinical Sample Analysis:
Receiver Operating Characteristic (ROC) analysis to determine optimal cutoff values
Sensitivity and specificity calculations for diagnostic applications
Survival analysis methods (Kaplan-Meier, Cox proportional hazards) for outcome studies
Correlation analyses (Pearson's, Spearman's) to assess relationships between antibody levels and clinical parameters
For Complex Datasets:
Principal Component Analysis (PCA) for dimensionality reduction in multiplex antibody data
Cluster analysis to identify patterns in antibody responses
Machine learning approaches for predicting outcomes based on antibody profiles
Bayesian methods for incorporating prior knowledge into analysis
Sample Size and Power Considerations:
A priori power analysis to determine adequate sample sizes
Sequential analysis for adaptive study designs
Effect size calculations to interpret the biological significance of statistical findings
Reporting Recommendations:
Always report exact p-values rather than threshold significance
Include measures of effect size alongside p-values
Report confidence intervals to indicate precision of estimates
Consider multiple testing corrections (e.g., Bonferroni, False Discovery Rate) when appropriate
When analyzing antibody response kinetics, time-series statistical methods may be particularly valuable. Additionally, when interpreting serological data against microbiological findings, approaches such as concordance analysis (e.g., Cohen's kappa) can quantify the level of agreement between methods.
Several cutting-edge technologies are poised to transform SdrE antibody research in the coming years:
Single B Cell Sequencing and Antibody Repertoire Analysis:
Enables identification of naturally occurring anti-SdrE antibodies from infected or vaccinated subjects
Allows tracking of B cell clonal evolution during S. aureus infection
Provides insights into antibody affinity maturation against SdrE
CRISPR-Based Antibody Engineering:
Facilitates rapid generation of antibody variants with enhanced specificity or affinity
Enables high-throughput screening of antibody libraries
Allows precise epitope targeting through directed mutagenesis
Advanced Structural Biology Techniques:
Cryo-electron microscopy for high-resolution structure determination of SdrE-antibody complexes
Hydrogen-deuterium exchange mass spectrometry for conformational analysis
Integrative structural biology approaches combining multiple experimental techniques
Synthetic Biology and Antibody Mimetics:
Development of non-antibody scaffolds targeting SdrE
Creation of synthetic binding proteins with improved stability and tissue penetration
Design of multispecific molecules targeting SdrE and other virulence factors simultaneously
Advanced Imaging Technologies:
Super-resolution microscopy for visualizing SdrE distribution on bacterial surfaces
Intravital imaging to track antibody-mediated clearance of S. aureus in real-time
Correlative light and electron microscopy for multimodal visualization of host-pathogen interactions
Artificial Intelligence in Antibody Design:
Deep learning approaches for optimizing antibody sequences
AI-driven prediction of antibody stability and manufacturability
Automated design of antibody libraries for directed evolution
Microfluidic and Organ-on-Chip Systems:
High-throughput screening of antibody functionality
Creation of physiologically relevant infection models
Real-time analysis of antibody-mediated bacterial clearance
These emerging technologies promise to accelerate the development of highly specific and effective anti-SdrE antibodies, potentially leading to new diagnostic and therapeutic applications for S. aureus infections.
Despite significant advances in understanding SdrE, several critical questions remain that targeted antibody research could help resolve:
Structural Determinants of fH Binding:
Which specific domains or residues within SdrE are essential for factor H binding?
How does the three-dimensional structure of SdrE facilitate this interaction?
Development of domain-specific antibodies could map the functional regions through epitope blocking studies
Regulatory Mechanisms:
How is SdrE expression regulated during different phases of infection?
What environmental signals modulate SdrE levels?
Antibodies could be used to quantify SdrE expression under various conditions, particularly in vivo
Potential Additional Functions:
Does SdrE have functions beyond factor H binding and complement evasion?
Could it interact with other host proteins or contribute to biofilm formation?
Antibody inhibition studies could reveal previously unrecognized SdrE functions
In Vivo Relevance:
How important is SdrE-mediated immune evasion in different types of S. aureus infections?
Does its contribution vary by infection site or patient population?
Passive immunization studies with anti-SdrE antibodies could assess its importance in various infection models
Interplay with Other Virulence Factors:
How does SdrE complement other S. aureus immune evasion mechanisms?
Is there functional redundancy or synergy with other complement inhibitors?
Combinatorial antibody approaches targeting multiple virulence factors could elucidate these relationships
Strain Variation:
How conserved is SdrE structure and function across diverse S. aureus lineages?
Do clinical isolates show variations that affect antibody binding or function?
Pan-SdrE antibodies versus strain-specific antibodies could address questions of conservation
Therapeutic Potential:
Can SdrE neutralization provide protection against S. aureus infection?
What antibody properties (isotype, affinity, epitope) correlate with protective efficacy?
Therapeutic antibody development and testing would directly address these questions
Strategic development of antibody tools, particularly those targeting specific functional domains or with defined blocking capabilities, would provide valuable reagents for answering these fundamental questions about SdrE biology and its role in S. aureus pathogenesis.