Influenza-B Jilin

Influenza-B Virus Jilin 20/2003 Recombinant
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Description

Identification and Source

Influenza-B Jilin 20/03 is a baculovirus-produced recombinant HA protein corresponding to a full-length HA antigen from an influenza B virus strain isolated in Jilin, China, in March 2003. It is cataloged as VAng-Lsx0366 by Creative Biolabs and is exclusively used for research purposes .

PropertyDetail
SourceBaculovirus expression system
TargetHemagglutinin (HA) protein of influenza B virus
ApplicationsVaccine development, immunological assays, antibody production
Purity> 95% (verified by SDS-PAGE)
StorageStable for 12 months at -80°C

Biological Significance of Hemagglutinin in Influenza B

HA is the primary surface glycoprotein of influenza B viruses, mediating host cell entry via sialic acid receptor binding. The HA1 domain contains antigenic sites targeted by neutralizing antibodies, while HA2 facilitates membrane fusion . Influenza-B Jilin 20/03’s HA retains these structural features, making it valuable for studying immune responses and cross-protection mechanisms.

Key HA antigenic sites:

  • 120 loop

  • 150 loop

  • 160 loop

  • 190 helix

Role in Vaccine Development

This recombinant HA protein is part of efforts to design cross-protective influenza B vaccines. Structural stabilization of HA stalks (as seen in nanoparticle vaccines) enhances broad immunity against diverse influenza B lineages . Comparative studies show that HA-based vaccines elicit antibodies targeting both conserved stalk regions and variable head domains .

Monoclonal Antibodies (mAbs) Targeting HA:

mAbTarget RegionMechanism of ActionCross-Reactivity
CR8033HA head (receptor-binding)Neutralizes B/Yamagata and B/VictoriaBroad lineage coverage
CR9114HA stalkBlocks membrane fusionPan-influenza B
5A7HA1 C-terminusInhibits viral attachmentLimited to specific clades

Data synthesized from HA-targeting studies .

Comparative Epidemiology and Lineage Dynamics

Influenza B viruses split into B/Victoria and B/Yamagata lineages, with distinct age-specific infection patterns:

  • B/Victoria: Predominantly infects children (0–25 years) due to α-2,3-linked sialic acid receptor affinity .

  • B/Yamagata: Affects older populations (25–50 years) .

While Influenza-B Jilin 20/03’s lineage is unspecified, its HA protein’s utility lies in mimicking antigenic features common to both lineages. Notably, B/Yamagata has not been detected since 2020, prompting vaccine formulations to exclude it .

Product Specs

Introduction
Influenza-B virus, a genus in the Orthomyxoviridae family, solely comprises the "Influenza B virus" species. This virus exclusively infects humans and seals, contrasting with the broader host range of Influenza virus A. Unlike Influenza A's mutation through genetic drift and reassortment, Influenza B's evolution is slower than A but faster than C viruses. Its mutation rate, 2-3 times slower than type A, still prevents lasting immunity. The virus structure includes an enveloped capsid, a virion composed of a matrix protein, envelope, nucleoprotein complex, nucleocapsid, and a polymerase complex. Influenza B exhibits both spherical and filamentous forms. Its approximately 500 surface projections consist of hemagglutinin and neuraminidase. The virus genome, 14648 nucleotides long, comprises eight linear, negative-sense, single-stranded RNA segments. Each segment is encapsidated in a separate nucleocapsid, all enveloped within a single membrane.
Description
Recombinant Full-Length B/Jilin/20/2003, glycosylated with N-linked sugars, is produced in insect cells using baculovirus vectors.
Physical Appearance
Sterile, colorless solution.
Formulation
The Recombinant B/Jilin/20/2003 solution contains 10mM Sodium phosphate (pH 7.4) and 150mM Sodium Chloride.
Stability
Recombinant B/Jilin/20/2003 should be stored at 4°C.
Purity
Purity exceeds 90.0% as determined by SDS-PAGE analysis.
Source
Baculovirus Insect Cells.
Immunological Activity
Western-Blot 0.1µg -1µg per strip, ELISA 1µg/Well.

Q&A

What are the main lineages of Influenza B virus and how are they classified?

Influenza B virus (IBV) is classified into two major phylogenetic lineages based on differences in the nucleotide sequence of the hemagglutinin (HA) fragment. These are:

  • B-Victoria lineage: Represented by the B/Victoria/2/87 strain

  • B-Yamagata lineage: Represented by the B/Yamagata/16/88 strain

This classification is essential for understanding evolutionary dynamics and for vaccine formulation. Although IBV does not pose the same pandemic threat as influenza A viruses, localized outbreaks of IBV can significantly impact public health and should not be overlooked in surveillance programs .

How does the age distribution of Influenza B infections differ between lineages?

Research has revealed distinct patterns in the age distribution of infections caused by the two IBV lineages:

  • B-Victoria (B Vic) lineage:

    • Tends to affect younger populations (0-25 years old)

    • Shows a unimodal distribution curve with peak incidence below 10 years of age

    • Generally demonstrates a preference for younger hosts across most studied regions

  • B-Yamagata (B Yam) lineage:

    • Affects older individuals on average compared to B Vic

    • Often exhibits a bimodal age distribution:

      • Primary peak: Children below 10 years of age

      • Secondary smaller peak: Adults aged 25-50 years

These epidemiological differences suggest potential variations in transmission dynamics, host immunity factors, or viral properties between the lineages that merit further investigation.

What seasonal patterns does Influenza B virus exhibit across different geographic regions?

Influenza B viruses demonstrate complex seasonal patterns that vary significantly by geographic region and climate zone:

  • In temperate regions: More defined seasonal patterns with predominant winter circulation

  • In tropical and subtropical regions: More complex patterns including:

    • Year-round circulation in some areas

    • Biannual peaks in others

    • Varying co-circulation with influenza A subtypes

Analysis of surveillance data from 2007-2013 across Asian countries revealed that while influenza A viruses generally account for a larger proportion of all influenza-positive specimens during most years, influenza B viruses became dominant (>50% of influenza positives) during certain periods, specifically 2010-2011 and 2012-2013 .

These seasonal variations are critical for planning appropriate vaccination strategies and timing for different regions. Researchers should consider these patterns when designing studies or interpreting data across different geographic locations.

What animal models are most appropriate for studying Influenza B pathogenicity and transmissibility?

Based on published research protocols, several animal models have proven valuable for studying different aspects of influenza B virus infection:

Mouse Models:
Mice are frequently used to assess pathogenicity, viral replication, and tissue tropism. The standard protocol includes:

  • Anesthetizing mice with ether or other approved agents

  • Intranasal instillation with specific viral doses (often measured in EID₅₀)

  • Monitoring for weight loss, mortality, and clinical signs for 14 days

  • Humane euthanasia criteria: >30% loss of original body weight

  • Collection of tissues (lungs, heart, liver, spleen, kidney, brain) to determine virus titers

  • Histopathological examination of fixed tissues

Guinea Pig Models:
Guinea pigs are particularly valuable for transmissibility studies because they:

  • Better model airborne transmission than mice

  • Allow assessment of both direct contact and aerosol transmission routes

  • Can be used to compare transmission efficiency between strains

A typical transmission experiment involves:

  • Intranasal infection of index animals

  • Introduction of naïve contact animals (direct contact group)

  • Placement of naïve animals in adjacent cages (aerosol transmission group)

  • Serial nasal washing to monitor viral shedding

  • Measurement of viral titers in nasal washes

For meaningful comparative analysis, experiments should include appropriate control strains with known pathogenicity/transmissibility profiles alongside the test strain.

What laboratory methods are used to evaluate potential antiviral compounds against Influenza B?

Several standardized assays are employed to assess the efficacy of antiviral compounds against influenza B viruses:

Neutralization Assays:

  • Mix virus (typically 100 TCID₅₀) with serial dilutions of test compound

  • Incubate at 37°C for 1-2 hours

  • Add mixture to appropriate cell lines (often MDCK cells)

  • Incubate for 18-20 hours at 37°C with 5% CO₂

  • Evaluate viral inhibition via immunological detection methods (ELISA using anti-NP antibodies)

Viral Entry Inhibition Assays:

  • Pre-incubate viruses with test compounds at different concentrations

  • Add to cell culture in infection medium (e.g., DMEM with 2% BSA and trypsin)

  • Replace with maintenance medium after initial infection period

  • Culture for 16-18 hours

  • Fix cells with paraformaldehyde

  • Visualize infection using immunofluorescence (anti-NP antibodies and fluorescent secondary antibodies)

  • Counterstain nuclei with DAPI

  • Analyze using fluorescence microscopy

Viral Release Inhibition Assays:

  • Infect cells at defined MOI (e.g., 2 MOI) for initial period (about 4 hours)

  • Wash cells to remove extracellular virus

  • Add serial dilutions of test compounds

  • Incubate for 18 hours

  • Analyze viral release via western blotting of supernatants and cell lysates

In Vivo Efficacy Studies:

  • Prophylactic model: Administer test compound prior to viral challenge

  • Therapeutic model: Administer test compound after viral challenge

  • Monitor weight, survival, clinical signs

  • Collect tissues for viral titration and histopathological analysis

  • Include appropriate control groups

When testing compounds against influenza B, it's essential to include both B-Victoria and B-Yamagata lineage representatives to account for potential variation in susceptibility between lineages.

What genetic factors contribute to pathogenicity differences among Influenza B strains?

The pathogenicity of influenza B viruses is determined by multiple genetic factors, though these have been less extensively characterized than for influenza A viruses. Key considerations include:

Hemagglutinin (HA) Characteristics:

  • Receptor binding specificity and affinity

  • Glycosylation patterns

  • Antigenic sites that influence immune evasion

  • Fusion peptide properties affecting entry efficiency

Neuraminidase (NA) Properties:

  • Enzymatic activity affecting virus release

  • Balance between HA and NA activities (functional match)

  • Susceptibility to antiviral drugs

Internal Protein Functions:

  • Polymerase complex efficiency (PB1, PB2, PA)

  • NP interactions with viral RNA

  • M1 and M2 roles in assembly and budding

  • NS1 antagonism of host innate immunity

When analyzing genetic determinants of pathogenicity, a comprehensive approach should include:

  • Full genome sequencing of circulating strains

  • Comparative analysis with reference strains

  • Identification of key mutations in functional domains

  • Reverse genetics approaches to verify the role of specific mutations

  • Phenotypic characterization in appropriate models

Researchers investigating novel influenza B isolates should pay particular attention to mutations in the HA protein that might affect receptor binding properties and antigenicity, as these frequently correlate with changes in virulence.

What are the latest approaches for developing cross-protective vaccines against Influenza B lineages?

Current research on cross-protective influenza B vaccines focuses on several innovative strategies:

Recombinant Virus Approaches:

  • Generation of chimeric viruses expressing conserved epitopes

  • Live attenuated viruses designed to stimulate broader immune responses

  • Cold-adapted backbone strains with modified surface antigens

Virus-Like Particles (VLPs):

  • Non-infectious particles displaying influenza B surface proteins

  • Potential for multivalent display of antigens from both lineages

  • Enhanced immunogenicity through structural mimicry of virions

Recombinant Protein Strategies:

  • Consensus sequence antigens derived from both lineages

  • Headless HA constructs focusing immune responses on conserved stalk regions

  • Chimeric HA proteins containing elements from both lineages

Novel Adjuvant Formulations:

  • Adjuvants designed to enhance cross-reactive antibody responses

  • Formulations promoting T-cell immunity to conserved epitopes

  • Mucosal delivery systems for enhanced local immunity

One of the most promising approaches involves targeting the conserved epitopes in the HA stem region, which are less subject to drift variation compared to the immunodominant head region. This strategy potentially offers protection against both B-Victoria and B-Yamagata lineages with a single immunogen .

The development of universal or broadly protective influenza B vaccines could potentially lead to eventual eradication of influenza B from human populations, given that humans are the primary reservoir for these viruses, unlike influenza A which has extensive animal reservoirs .

How do ecological and epidemiological factors impact Influenza B evolution?

The evolution of influenza B viruses is shaped by a complex interplay of ecological and epidemiological factors:

Host Population Factors:

  • Age structure of susceptible populations

  • Pre-existing immunity profiles

  • Contact patterns within and between age groups

  • Population density and mobility

Viral Circulation Patterns:

  • Co-circulation of multiple lineages creates complex selection pressures

  • Varying seasonal patterns across different geographic regions

  • Potential for reassortment between co-circulating strains

  • Competition between influenza A and B viruses for susceptible hosts

Age-Specific Selection Pressures:
The distinct age distribution patterns between B-Victoria and B-Yamagata lineages suggest differential selection mechanisms:

  • B-Victoria's predominance in younger populations may reflect stronger selection for immune evasion in hosts with limited prior exposure

  • B-Yamagata's bimodal age distribution might indicate more complex immunological interactions with previously exposed hosts

Geographic Variation:

  • Tropical and subtropical regions may serve as evolutionary reservoirs due to year-round circulation

  • Different selective pressures in temperate versus tropical regions

  • Variable vaccination coverage across regions affecting selection landscapes

Understanding these factors is crucial for predicting evolutionary trajectories and informing surveillance strategies. Researchers studying influenza B evolution should consider incorporating ecological and epidemiological data alongside genomic analyses for more comprehensive evolutionary models.

What methodological considerations are important when evaluating novel therapeutics against Influenza B?

When evaluating potential therapeutics against influenza B viruses, researchers should consider several methodological factors to ensure robust and translatable results:

Strain Selection:

  • Include representatives of both B-Victoria and B-Yamagata lineages

  • Consider testing against antigenically diverse strains within each lineage

  • Include recent clinical isolates alongside laboratory reference strains

  • For completeness, compare responses to influenza A subtypes (H1N1, H3N2)

Assay Diversity:

  • Employ multiple complementary assays targeting different stages of viral lifecycle:

    • Entry inhibition

    • Replication inhibition

    • Release inhibition

    • Direct virucidal activity

  • Assess cytotoxicity in parallel to establish therapeutic index

In Vitro Systems:

  • Test in relevant cell types (e.g., human respiratory epithelial cells)

  • Consider air-liquid interface cultures for more physiologically relevant models

  • Evaluate effects on host inflammatory responses alongside direct antiviral activity

In Vivo Evaluation:

  • Test both prophylactic and therapeutic efficacy

  • Use clinically relevant challenge doses

  • Measure multiple outcomes:

    • Viral loads in respiratory tissues

    • Weight loss and clinical signs

    • Lung pathology

    • Inflammatory markers

    • Survival (for lethal challenge models)

Mechanistic Studies:

  • Determine mechanism of action through targeted experiments

  • Assess potential for resistance development

  • Evaluate pharmacokinetics/pharmacodynamics in relevant models

  • For antibody-based therapeutics, characterize epitope specificity and binding properties

These methodological considerations help ensure that experimental findings are robust, reproducible, and relevant to clinical applications. The example of isoquercitrin demonstrates how a potential therapeutic agent should be evaluated against both influenza A and B viruses using multiple complementary approaches .

What are the optimal approaches for monitoring Influenza B circulation and evolution?

Effective surveillance of influenza B viruses requires integrated approaches combining traditional and advanced methodologies:

Specimen Collection Strategy:

  • Year-round sampling in tropical/subtropical regions

  • Extended seasonal sampling in temperate regions

  • Age-stratified sampling to capture lineage-specific distribution patterns

  • Sampling from both mild outpatient and severe hospitalized cases

Laboratory Methods:

  • Initial screening and typing using RT-PCR

  • Lineage determination through molecular techniques

  • Virus isolation in cell culture or embryonated eggs

  • Representative sequencing of HA and NA genes

  • Whole genome sequencing of selected isolates

  • Antigenic characterization using ferret antisera

Data Integration:

  • Combine virological data with epidemiological parameters

  • Age distribution analysis by lineage

  • Geographic mapping of lineage distribution

  • Temporal analysis of circulation patterns

  • Correlation with meteorological factors

Reporting Standardization:

  • Consistent reporting formats across surveillance networks

  • Monthly data aggregation for policy guidance

  • Proportion-based analyses to adjust for variations in testing intensity

  • Definition of epidemic periods using standardized thresholds (e.g., >8.3% of annual positive samples)

Effective surveillance systems should be designed to detect unusual patterns, such as the observed dominance of influenza B in certain seasons (e.g., 2010-2011 and 2012-2013 as noted in Asian surveillance data), which may inform vaccination strategies and public health responses .

How can researchers distinguish between natural evolution and laboratory adaptation in Influenza B isolates?

Distinguishing between natural evolution and laboratory adaptation in influenza B isolates is critical for accurate interpretation of experimental results. Key considerations include:

Genomic Analysis:

  • Identification of marker mutations associated with cell culture or egg adaptation:

    • HA mutations affecting receptor binding properties

    • Polymerase complex mutations affecting replication efficiency

    • Changes in glycosylation patterns

  • Comparison with sequences from directly sequenced clinical specimens

  • Phylogenetic analysis to determine relationship to circulating strains

Phenotypic Assessment:

  • Comparison of growth kinetics in different cell types

  • Assessment of receptor binding preferences

  • Antigenic characterization compared to original clinical isolate

  • Pathogenicity in animal models versus epidemiological severity

Experimental Design:

  • Minimizing passage number before experiments

  • Documenting complete passage history

  • Using cell lines that minimize selective pressure

  • Confirming key findings with minimally passaged or reverse genetics-derived viruses

Research Context Application:
When studying isolates like hypothetical "Influenza-B Jilin" strains, researchers should:

  • Compare sequences before and after laboratory adaptation

  • Note any mutations accumulated during isolation and propagation

  • Consider how these changes might affect experimental outcomes

  • Validate findings using multiple isolates or reverse genetics approaches

This awareness of potential laboratory adaptations is essential for accurately interpreting experimental results and their relevance to naturally circulating viruses.

What are the key knowledge gaps in Influenza B virus research that require further investigation?

Despite significant advances in influenza research, several important knowledge gaps remain in our understanding of influenza B viruses:

Evolutionary Dynamics:

  • Factors determining lineage predominance in different seasons and regions

  • Molecular basis for the distinct age distribution patterns between lineages

  • Evolutionary constraints on influenza B compared to influenza A

  • Potential for emergence of new lineages or substantial antigenic shifts

Pathogenesis Mechanisms:

  • Host and viral determinants of severity in influenza B infections

  • Comparative pathogenesis between B-Victoria and B-Yamagata lineages

  • Interaction with bacterial co-pathogens

  • Basis for apparent reduced pandemic potential compared to influenza A

Immunity and Vaccination:

  • Duration and breadth of cross-protection between lineages

  • Optimal vaccination strategies for different age groups

  • Impact of repeated vaccination with different lineages

  • Development of truly universal influenza B vaccines

Therapeutic Approaches:

  • Development of influenza B-specific antivirals

  • Optimization of broadly active antivirals like isoquercitrin for influenza B

  • Monoclonal antibody therapies targeting conserved epitopes

  • Novel delivery methods for respiratory antivirals

Addressing these knowledge gaps will require multidisciplinary approaches combining virology, immunology, epidemiology, and computational biology. Particular attention should be paid to comparative studies between influenza A and B viruses, which may reveal important insights into fundamental aspects of influenza biology and evolution.

As influenza B continues to cause significant seasonal disease burden worldwide, advancing our understanding in these areas remains a priority for improving public health responses and potentially working toward the ambitious goal of influenza B eradication.

Product Science Overview

Introduction

Influenza B virus is a significant pathogen responsible for seasonal flu epidemics, primarily affecting humans. Unlike Influenza A, which has multiple subtypes and can infect various species, Influenza B is restricted to humans and seals. The Influenza B virus is divided into two lineages: B/Victoria and B/Yamagata. The strain B/Jilin/20/2003 belongs to the B/Victoria lineage and was first isolated in Jilin, China, in 2003 .

Genetic Composition

The Influenza B virus has a segmented, single-stranded RNA genome, which allows for genetic reassortment. This reassortment can lead to the emergence of new strains with different antigenic properties. The B/Jilin/20/2003 strain has been extensively studied for its genetic makeup, particularly the hemagglutinin (HA) and neuraminidase (NA) proteins, which are crucial for the virus’s ability to infect host cells and for the immune response .

Recombinant Technology

Recombinant technology has been employed to study and manipulate the B/Jilin/20/2003 strain. This involves creating recombinant viruses by inserting specific genes from the B/Jilin/20/2003 strain into a plasmid vector, which is then used to infect host cells. This technology allows researchers to study the function of individual viral proteins and to develop vaccines and antiviral drugs .

Applications in Research

The recombinant B/Jilin/20/2003 virus has been used in various research applications, including:

  1. Vaccine Development: By studying the HA and NA proteins, researchers can develop vaccines that elicit a strong immune response against the virus.
  2. Antiviral Drug Testing: Recombinant viruses are used to screen potential antiviral compounds for their efficacy in inhibiting viral replication.
  3. Pathogenesis Studies: Understanding how the virus interacts with host cells and the immune system can provide insights into the mechanisms of viral pathogenesis and immune evasion .

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