HCV NS4, HRP is utilized in enzyme-linked immunosorbent assays (ELISAs) to detect anti-NS4 antibodies. NS4 is highly conserved across HCV genotypes, making it a reliable diagnostic target .
High Sensitivity: NS4 retains conformational epitopes critical for antibody binding, enabling early seroconversion detection .
Broad Genotype Coverage: Effective for detecting infections caused by HCV genotypes 1–6 .
Specificity: NS4 is absent in uninfected individuals, reducing false positives .
Studies demonstrate varying antibody responses to NS4 subdomains:
Data sourced from patient sera studies .
NS4B is recognized by 86% of HCV-positive sera, making it a major immunogenic target .
NS4A requires co-expression with NS3 to preserve conformational epitopes, as standalone NS4A may lose immunoreactivity .
Protease Activity: Native NS3/NS4A complexes may degrade during purification, necessitating modified NS3 domains to inhibit protease activity while retaining epitopes .
Cross-Reactivity: NS4B antibodies show no cross-reactivity with NS2 or NS5B, ensuring specificity in serological tests .
Data compiled from Western blot and INNO-LIA Score test analyses .
Recent studies explore NS4A as a vaccine component:
HCV NS4, HRP is a recombinant Horseradish Peroxidase labeled protein containing the immunodominant regions of the Hepatitis C Virus (HCV) Non-Structural protein 4. The protein is typically produced in Escherichia coli expression systems and purified through proprietary chromatographic techniques . The resulting product is generally >95% pure as determined by 10% PAGE with Coomassie staining . The standard formulation includes 25mM Tris-HCl pH 8, 1mM EDTA, 1.5M urea & 50% glycerol .
Researchers should note that while the product is stable at 4°C for approximately one week, it should be stored below -18°C for long-term preservation, and freeze-thaw cycles should be prevented to maintain optimal activity .
HCV NS4 plays a crucial role in the modulation of host immune responses during HCV infection. Research has demonstrated that NS4 significantly impacts T-cell responses and dendritic cell function. Specifically, NS4 has been shown to impair Th1 polarization of immature dendritic cells (iDCs), which may contribute to the high chronicity rate observed in HCV infections .
Studies have revealed that NS4 protein demonstrates the strongest reduction in CD86 expression on iDCs and diminishes Th1 cytokine production compared to other HCV proteins . This immunomodulatory effect potentially explains why HCV is difficult to eliminate despite patients showing no overt signs of impaired immune response. The protein's ability to weaken Th1 cytokine production without affecting Th2 production creates an immunological environment favorable for viral persistence .
Comparative studies have demonstrated that among various HCV proteins (Core, NS2, NS3, NS4, and NS5), NS4 exhibits the most pronounced effects on immune cell function:
Effect on dendritic cells: NS4 shows the strongest reduction in CD86 expression on immature dendritic cells compared to other HCV proteins .
Cytokine modulation: NS4 significantly reduces Th1 cytokine production (particularly IFNγ and IL-2) without affecting Th2 cytokine production (IL-4 and IL-6) .
T-cell responses: When comparing proliferative T-cell responses, NS4 demonstrates the most significant impairment of Th1-type helper T-cell responses relative to other HCV proteins .
Interestingly, these immunosuppressive effects can be reversed through the maturation of dendritic cells with lipopolysaccharide (LPS), suggesting that the immune impairment is potentially reversible under certain conditions .
HCV NS4, HRP serves as a valuable tool for T-cell epitope mapping, particularly for identifying immunodominant CD4+ T-cell epitopes. Research approaches typically involve:
Proliferation assays: Measuring PBMC proliferative responses to HCV NS4 peptides using techniques such as CFSE (carboxyfluorescein succinimidyl ester) proliferation assays .
CD4+ T-cell clone isolation: Isolating and expanding HCV-specific CD4+ T-cell clones from patients' blood through stimulation with recombinant HCV antigens, including NS4 .
Fine specificity characterization: Determining the minimal T-cell-stimulatory sequences within NS4 using panels of overlapping peptides .
HLA restriction analysis: Characterizing the HLA restriction of identified epitopes to understand the constraints of immune recognition .
This approach has successfully identified immunodominant epitopes within the NS3-NS4 region that are recognized in patients achieving transient or persistent viral control, providing valuable information for the development of HLA class II tetramers and peptide-based immunotherapies .
The nature and magnitude of immune responses to HCV NS4 appear to correlate with clinical outcomes in HCV infection. Research findings indicate:
Immune Parameter | Positive PI HCW (Previously Exposed) | Chronic HCV HCW | Negative PI HCW | Clinical Significance |
---|---|---|---|---|
IL-2 response to NS4 | No significant difference | No significant difference | Lower | Potentially protective |
IFNγ response to NS4 | Higher | Lower | Lower | Protective |
TNFα response to NS4 | Higher | Lower | Lower | Protective |
Studies have shown that healthcare workers (HCW) with evidence of previous HCV exposure but without chronic infection (positive proliferation index but seronegative and aviremic) produce a higher IFNγ response to NS4 compared to chronically infected HCW . This suggests that robust Th1 responses against NS4 may be associated with viral clearance.
The cytokine pattern in response to NS4 and other HCV peptides appears to be critical in determining infection outcomes. Strong Th1 responses may lead to spontaneous HCV resolution, while weak Th1 and strong Th2 responses may result in chronic hepatitis . This pattern helps explain the high chronicity rate observed in HCV infections.
HCV NS4 contributes to immune evasion through several mechanisms:
Impairment of dendritic cell function: NS4 reduces the expression of co-stimulatory molecules like CD86 on immature dendritic cells, thereby diminishing their T-cell stimulatory capacity .
Cytokine modulation: NS4 selectively suppresses Th1 cytokine production (IFNγ and IL-2) without affecting Th2 cytokines, creating an immunological environment that favors viral persistence .
Antigen-presenting capability: NS4 protein relatively impairs the antigen-presenting function of dendritic cells, affecting downstream T-cell activation .
T-cell polarization: NS4 skews the immune response away from the protective Th1 phenotype, which is critical for viral clearance .
These immune evasion strategies help explain why HCV establishes persistent infection in approximately 70-80% of infected individuals despite the absence of generalized immunosuppression. Importantly, the maturation of dendritic cells with stimuli like LPS can overcome these NS4-mediated immunosuppressive effects, suggesting potential therapeutic approaches .
For optimal performance in immunoassays, researchers should consider the following conditions when working with HCV NS4, HRP:
Storage and handling: While stable at 4°C for approximately one week, long-term storage should be below -18°C, and freeze-thaw cycles should be minimized .
Buffer compatibility: The standard formulation (25mM Tris-HCl pH 8, 1mM EDTA, 1.5M urea & 50% glycerol) may need to be considered when designing assay buffers to ensure optimal activity .
Specificity verification: Confirm immunoreactivity with sera from HCV-infected individuals as a positive control for functionality .
Detection systems: HRP conjugation allows direct detection with chromogenic or chemiluminescent substrates without the need for secondary antibodies, simplifying assay design.
Optimization parameters: Critical parameters to optimize include concentration, incubation time, temperature, and washing conditions to maximize signal-to-noise ratio.
Controls: Include appropriate negative controls (non-HCV infected sera) and positive controls to validate assay performance.
For research applications requiring high sensitivity, chemiluminescent detection systems often provide superior results compared to colorimetric methods when working with HCV NS4, HRP.
Based on established research methodologies, the following experimental design is recommended:
Dendritic cell preparation:
Isolate monocytes from peripheral blood of healthy donors using density gradient centrifugation followed by plastic adherence or magnetic bead selection.
Differentiate into immature dendritic cells (iDCs) by culturing with GM-CSF and IL-4 for 5-7 days.
HCV NS4 treatment approaches:
Dendritic cell analysis:
Functional assays:
Autologous T-cell co-culture: Measure proliferation using CFSE dilution assays.
Antigen-specific responses: Use recall antigens like PPD (purified protein derivative) to assess antigen-presenting function .
Cytokine profiling: Measure Th1 cytokines (IL-2, IFNγ, TNFα) and Th2 cytokines (IL-4, IL-6) in co-culture supernatants using Luminex xMAP technology or ELISA .
Controls:
Other HCV proteins (Core, NS3, NS5) for comparative analysis.
Mock-transfected or untreated cells as negative controls.
This design allows for comprehensive assessment of how HCV NS4 affects both the phenotype and function of dendritic cells, and how these changes impact T-cell responses .
Several complementary approaches can be employed to identify and characterize T-cell epitopes within HCV NS4:
Ex vivo PBMC proliferation screening:
T-cell clone isolation and characterization:
HLA restriction determination:
Cytokine profiling:
Correlation with clinical outcomes:
This multi-faceted approach has successfully identified immunodominant CD4+ T-cell epitopes within HCV NS4 that are recognized in patients achieving viral control, providing valuable information for vaccine development and immunotherapy .
When encountering conflicting cytokine data in HCV NS4 stimulation experiments, consider the following analytical framework:
Subject classification: Different subject populations may show distinctive cytokine patterns. For example, healthcare workers with previous HCV exposure (positive PI but seronegative) show different NS4 responses compared to chronically infected individuals or unexposed controls .
Correlation analysis: Examine correlations between different cytokines within each study group. Research has shown that in positive PI HCWs, there is a strong correlation (Rs=0.893, p=0.003) between IFNγ and IL-2 responses to NS4, while in chronic HCV HCWs, there is a moderate correlation (Rs=0.60, p=0.285) between IFNγ and TNFα responses to NS4 . These correlation patterns can provide insights into the underlying immune mechanisms even when absolute values appear conflicting.
Experimental variables to examine:
Integration with phenotypic data: Correlate cytokine profiles with cellular phenotypic changes (e.g., CD86 expression on dendritic cells) to develop a more comprehensive interpretation .
Understanding that NS4 specifically impairs Th1 but not Th2 cytokine responses can help reconcile apparently conflicting data by examining the balance between these cytokine types rather than absolute values of individual cytokines .
Researchers commonly encounter several technical challenges when working with HCV NS4, HRP:
Protein stability issues:
Non-specific binding in immunoassays:
Challenge: High background signal reducing assay sensitivity.
Solution: Include blocking agents (BSA, casein, or commercial blocking buffers) and optimize washing procedures (duration, buffer composition, number of washes).
Batch-to-batch variation:
Challenge: Differences in activity or immunoreactivity between lots.
Solution: Standardize using internal controls and perform side-by-side comparisons when changing lots.
Functional activity assessment:
Experimental interferences:
Challenge: HRP activity can be inhibited by certain buffer components or sample matrices.
Solution: Test for potential inhibitors in your experimental system and consider alternative detection methods if necessary.
Reproducibility issues in cellular assays:
Implementing these solutions can help ensure reliable and reproducible results when working with HCV NS4, HRP in research applications.
Differentiating specific from non-specific or cross-reactive immune responses to HCV NS4 requires a comprehensive experimental approach:
Control populations:
Peptide mapping:
Competitive inhibition assays:
Pre-incubate cells with unlabeled NS4 before adding NS4, HRP.
Specific responses should be inhibited by unlabeled protein, while non-specific binding may persist.
Statistical analysis of response patterns:
Functional characterization:
HLA restriction analysis:
By integrating these approaches, researchers can confidently differentiate between genuine HCV NS4-specific immune responses and background or cross-reactive responses, enhancing the validity and interpretation of experimental findings.
HCV NS4, HRP offers several promising applications in vaccine development research:
Epitope identification and validation:
Immunomonitoring in vaccine trials:
NS4, HRP can serve as a tool for monitoring vaccine-induced immune responses in clinical trials.
The protein allows assessment of both antibody responses and cellular immunity to this important viral component.
Understanding immune evasion:
By studying how NS4 impairs dendritic cell function and T-cell responses, researchers can design vaccine strategies that overcome these immunosuppressive effects .
Incorporating adjuvants that promote dendritic cell maturation could potentially counteract NS4's inhibitory effects, as suggested by the finding that LPS maturation recovers NS4-induced Th1 defects .
Correlates of protection studies:
The differential cytokine responses to NS4 observed between individuals who clear the virus and those who develop chronic infection provide insights into potential correlates of protection .
These findings can guide the development of vaccines that specifically induce these protective immune signatures.
HLA considerations in vaccine design:
These applications position HCV NS4, HRP as a valuable tool in the ongoing efforts to develop an effective HCV vaccine, which remains a significant unmet medical need despite advances in HCV treatment.
Emerging technologies offer exciting opportunities to advance our understanding of HCV NS4's role in viral pathogenesis:
Single-cell technologies:
Single-cell RNA sequencing can reveal heterogeneity in cellular responses to NS4, identifying particularly susceptible or resistant cell subpopulations.
Single-cell proteomics could characterize the impact of NS4 on signaling pathways at unprecedented resolution.
Advanced imaging techniques:
Super-resolution microscopy can visualize NS4's subcellular localization and interactions with host proteins.
Live-cell imaging using fluorescently tagged NS4 can track its dynamics during viral replication and immune cell interactions.
CRISPR-based approaches:
CRISPR screening can identify host factors that mediate NS4's immunomodulatory effects.
CRISPR-mediated precise mutagenesis of NS4 can map functional domains responsible for specific aspects of immune evasion.
Organoid and microfluidic systems:
Liver organoids can provide physiologically relevant models to study NS4's effects on hepatocytes and liver-resident immune cells.
Microfluidic "organ-on-a-chip" systems can model complex tissue interactions and immune cell migration in response to NS4.
Systems biology integration:
Multi-omics approaches combining transcriptomics, proteomics, and metabolomics can provide a comprehensive view of NS4's impact on cellular physiology.
Network analysis can identify key regulatory nodes that could be targeted to counteract NS4's immunosuppressive effects.
Structural biology advances:
Cryo-electron microscopy could resolve NS4's structure in complex with host proteins.
Hydrogen-deuterium exchange mass spectrometry can map conformational changes upon NS4's interaction with immune receptors.
These technological advances promise to transform our understanding of NS4's multifaceted roles in HCV pathogenesis, potentially revealing new therapeutic targets and vaccine strategies.
Hepatitis C Virus (HCV) is a significant global health concern, affecting millions of individuals worldwide. It is a single-stranded RNA virus belonging to the Flaviviridae family. HCV infection can lead to chronic liver diseases, including cirrhosis and hepatocellular carcinoma. The virus encodes a single polyprotein that is processed into structural and non-structural proteins, including NS4.
The NS4 protein of HCV is a non-structural protein that plays a crucial role in the virus’s replication and assembly. It is divided into two regions: NS4A and NS4B. NS4A acts as a cofactor for the NS3 protease, enhancing its enzymatic activity, while NS4B is involved in the formation of the membranous web, a structure essential for viral replication.
Recombinant proteins are artificially produced proteins that are used extensively in research and diagnostic applications. In the context of HCV, recombinant proteins derived from various regions of the virus, including NS4, are used to develop assays for detecting HCV antibodies. These assays are crucial for diagnosing HCV infections and monitoring the immune response in infected individuals.
Horseradish Peroxidase (HRP) is an enzyme commonly used in biochemistry applications, particularly in immunoassays. HRP conjugation involves attaching the HRP enzyme to another molecule, such as an antibody or a recombinant protein. This conjugation allows for the detection of specific antigens or antibodies through colorimetric reactions, making it a valuable tool in diagnostic assays.
The HCV NS4 Horseradish Peroxidase Recombinant is a fusion protein that combines the NS4 region of HCV with the HRP enzyme. This recombinant protein is used in various immunoassays to detect antibodies against HCV in patient samples. The HRP component enables the visualization of the antigen-antibody reaction through a color change, facilitating the identification of HCV infections.
The HCV NS4 Horseradish Peroxidase Recombinant is utilized in enzyme-linked immunosorbent assays (ELISAs) and other immunoassays to detect HCV antibodies. These assays are essential for: