Lactate dehydrogenase-elevating virus (LDV) is a positive-sense, single-stranded RNA virus that belongs to the Arteriviridae family and is related to coronaviruses . It is a natural infectious agent in mice that rapidly causes lytic infections, typically restricted to a subset of non-essential macrophages that scavenge extracellular lactate dehydrogenase . The quick loss of these cells results in elevated lactate dehydrogenase levels, hence the virus's name . LDV establishes chronic infections regardless of the mouse strain, age, sex, or immune status of the host .
LDV has a genome consisting of single-stranded, positive-sense RNA that is 14.1 kb long . The genome is dominated by two large open reading frames, ORF1a and ORF1ab, which code for two polyproteins, PP1a and PP1ab . These polyproteins are thought to be cleaved into 12 products . The virus contains a spherical nucleocapsid with a diameter of 35 ± 4 nm, enclosed in an envelope to create a smooth surface . The envelope consists of two proteins, VP2 and VP3 . VP2 has a molecular weight of 18,000, and VP3 is a heterogeneous glycoprotein with a molecular weight of 15,000 . The envelope is extremely labile and tends to slough off, indicated by its extreme sensitivity to detergent treatment . The virus has a density of 1.13 g/mL, and the nucleocapsid has a density of 1.17 g/mL in a sucrose density gradient . LDV matures by budding through the intracytoplasmic membrane, and the virions have four structural proteins, including a nucleocapsid protein, a non-glycosylated envelope protein, a major envelope glycoprotein, and a minor envelope glycoprotein .
LDV exhibits high specificity, being both host-specific and cell-specific . Initially, it was shown to replicate in primary mouse embryo cell cultures, but these cultures had to be freshly explanted . After about seven days, the cells lost their ability to support LDV, even though they could support other viruses . Peritoneal macrophages consistently yielded the highest virus titers when other mouse tissues were tested . In the first 24 hours after infection of a macrophage, there is rapid virus replication, which gradually falls off to a very low level but continues as long as the macrophage continues to divide . The viremia arises because LDV lyses the cell after replication . The virus is most commonly found in the liver, spleen, lymph nodes, and skin . The main effect of the virus on the host cell is to increase the activity of certain plasma enzymes; this increase in activity is not directly related to the level of viral infectivity but depends on the balance between the rate of entry and the rate of clearance, with evidence leaning more heavily towards the rate of clearance . In the plasma, LDH consists of five isoenzymes, and LDV generally only affects LDHA4 . In C58 and AKR-type mice, destruction of lower motor neurons occurs, producing age-dependent polioencephalomyelitis . Other effects of the virus include a temporary fall in the total white blood cell count that lasts for 24 hours after infection .
LDV can modify mouse immune reactions . Infection with LDV, alone or combined with adjuvants, can result in a modification of specificity in antibodies . This effect is dependent on the genetic background of the host and is correlated with the production of autoantibodies reacting with cryptic epitopes of antigens expressed in multiple mouse organs . LDV mainly replicates in a macrophage subpopulation present especially in lymph nodes, spleen, and skin .
Vpx is a protein encoded by members of the HIV-2/SIVsmm and SIVrcm/SIVmnd-2 lineages of primate lentiviruses and is packaged into viral particles . Vpx plays a critical role during the early steps of the viral life cycle and has been shown to counteract SAMHD1, a restriction factor in myeloid and resting T cells . Vpx is a multifunctional protein, and SAMHD1 antagonism is likely not its sole role . Vpx was initially identified as an HIV-2/SIVsmm protein of 12–16 kDa, which is incorporated into viral particles . Vpx is essential for the transduction of monocyte-derived dendritic cells (MDDCs) with SIVmac-based lentiviral vectors . Vpx increases HIV-1 transduction of MDDCs and MDMs but not activated T cells when brought in trans via virus-like particles (VLPs) . This positive effect of Vpx in MDDCs was directly correlated with an increase in viral DNA accumulation, which was observed not only with SIVmac but also with heterologous retroviral vectors derived from HIV-1, feline immunodeficiency virus (FIV), and murine leukemia virus (MLV) . Vpx was later shown to favor HIV-2/SIVsmm DNA accumulation in MDMs .
LDV is an enveloped arterivirus composed of a single strand of RNA that naturally infects mice. It belongs to the Arteriviridae family, related to coronaviruses such as SARS . The virus is named for its characteristic elevation of lactate dehydrogenase levels in infected mice due to impairment of enzyme clearance mechanisms .
LDV is important for research for several reasons:
It establishes persistent infections regardless of mouse strain, age, sex, or immune status
It causes rapid but transient activation of both B cells and T cells in lymphoid tissues
It serves as a model for studying innate immune responses, particularly Type I interferon production
It provides insights into mechanisms of viral persistence despite robust immune responses
It has unique interactions with specific macrophage populations that can inform broader understanding of virus-host cell dynamics
While the search results don't provide specific information about a protein named "VPX" in LDV, viral proteins in arteriviruses typically serve multiple functions. Based on general virology principles and the available information about LDV, viral proteins would likely be involved in:
Viral replication and transcription within macrophages
Modulation of host immune responses, particularly interferon pathways
Structural components of the viral particle
Mediation of host cell entry and viral assembly
Structural analysis would require protein expression and purification, followed by techniques such as X-ray crystallography or cryo-electron microscopy to determine three-dimensional structure. Functional analysis would involve creating recombinant proteins, performing binding assays, and conducting mutation studies to identify key functional domains.
Researchers studying recombinant viral proteins typically utilize several experimental systems:
Bacterial expression systems: E. coli-based expression for high yields of protein, though often lacking post-translational modifications
Mammalian cell culture: HEK293 or similar cell lines for expression with appropriate mammalian post-translational modifications
Insect cell/baculovirus systems: Intermediate between bacterial and mammalian systems, offering good yields with some post-translational modifications
Cell-free expression systems: For proteins that might be toxic to cell-based systems
For functional studies, researchers can use:
Primary mouse macrophage cultures (LDV's natural target)
Mouse models, particularly focusing on TLR7 knockout mice which have been shown to have altered responses to LDV infection
In vitro binding and activity assays using purified recombinant proteins
Verification of recombinant viral protein identity and purity involves multiple analytical approaches:
SDS-PAGE: To assess protein size and initial purity
Western blotting: Using specific antibodies, if available, to confirm protein identity
Mass spectrometry: For precise molecular weight determination and peptide mapping
MALDI-TOF or LC-MS/MS can be used to confirm amino acid sequence
Circular dichroism: To assess secondary structure content
Dynamic light scattering: To evaluate protein homogeneity and detect aggregation
Size exclusion chromatography: To analyze oligomeric state and purity
For proteomics approaches, proper experimental design is crucial. As noted in search result , parameters such as sample preparation, protein separation, MS detection limit, and MS dynamic range all significantly influence experimental outcomes.
LDV has been shown to induce rapid lymphocyte activation mediated by type I interferons, particularly IFNα. This process appears to be dependent on plasmacytoid dendritic cells (pDCs) and TLR7 signaling . To study potential interactions between viral proteins and immune components:
Co-immunoprecipitation assays: To identify direct protein-protein interactions
Surface plasmon resonance: For quantitative analysis of binding kinetics
Proximity labeling approaches: Such as BioID or APEX to identify interaction partners in living cells
CRISPR-Cas9 screens: To identify host factors required for viral protein function
Flow cytometry: To assess effects on immune cell activation, using markers such as CD69
Ex vivo cultures with neutralizing antibodies: As described in the research where anti-IFNα antibodies prevented LDV-induced CD69 upregulation
Methodological approach for immune interaction studies:
Isolate splenic B cells using CD19+ magnetic beads
Culture cells with plasma from LDV-infected mice (collected at appropriate timepoints)
Add recombinant VPX protein or vehicle control
Assess activation markers such as CD69 via flow cytometry
Include appropriate controls such as neutralizing antibodies against IFNα
When designing proteomics experiments to study viral proteins like LDV VPX, several critical factors must be considered:
Sample preparation:
Protein separation techniques (fractionation)
Digestion efficiency (typically using trypsin)
Prevention of protein/peptide loss during preparation
Mass spectrometry parameters:
Detection limit
Dynamic range
Resolution
Experimental variables:
Technical replicates to assess methodological variation
Biological replicates to capture biological variation
Appropriate controls
Based on the modeling described in search result , the success rate of protein detection and the relative dynamic range (RDR) are significantly influenced by:
The degree of protein separation
The MS detection limit
The MS dynamic range
Importantly, the sequence in which these parameters are optimized matters. For example, improving protein separation followed by enhancing detection limit and then dynamic range produces better results than improving protein separation followed by enhancing dynamic range and then detection limit .
Detecting significant changes in viral protein abundance requires robust statistical approaches. According to search result , empirical Bayes methods that shrink a protein's sample variance toward a pooled estimate provide more powerful and stable inference compared to ordinary t-tests.
Recommended methodological approach:
Experimental design:
Use balanced designs with adequate biological replicates
Consider isobaric mass labeling techniques (e.g., iTRAQ)
Include appropriate controls
Data analysis steps:
Normalize mass spectrometry data to account for technical variation
Apply moderated test statistics using empirical Bayes methods
For case-control experiments, use linear mixed effects models to adjust for potential differences due to channel effects, loading, mixing, and sample handling
Simultaneously estimate protein relative abundance and assess differential expression
For two-group comparisons (e.g., infected vs. uninfected):
Compare log2 relative abundances
Apply statistics that account for multiple testing
Use appropriate visualization methods to present results
The computational approach can be simplified by using median sweeps for protein abundance estimation, which reduces computational cost while maintaining efficiency and robustness .
Understanding how viral proteins change structure in different environments is critical for elucidating their function. Search result discusses protein conformational changes in different solutions, which can be applied to studying viral proteins:
Methodological approaches:
Fluorescence spectroscopy:
Circular dichroism (CD) spectroscopy:
Far-UV CD for secondary structure determination
Near-UV CD for tertiary structure insights
Thermal denaturation studies to assess stability
Nuclear Magnetic Resonance (NMR) spectroscopy:
For detailed atomic-level structural information
Particularly useful for monitoring structural changes in different conditions
Hydrogen-deuterium exchange mass spectrometry (HDX-MS):
Maps solvent-accessible regions of proteins
Identifies conformational changes upon exposure to different conditions
The example from search result demonstrates how a protein's surface properties can change dramatically in different environments, with hydrophilic residues predominating on the surface in aqueous solution and hydrophobic residues becoming exposed in the presence of DPC. This principle is important for understanding how viral proteins might change conformation when interacting with different cellular compartments or membranes.
LDV infection induces a strong IFNα response that is dependent on TLR7 signaling in plasmacytoid dendritic cells. Research has shown that:
TLR7 knockout mice fail to mount IFNα responses to LDV infection
This lack of IFNα response prevents CD69 upregulation on lymphocytes
Despite the absence of IFNα response, viral titers are not significantly affected
Methodological approach to study TLR7-viral protein interactions:
In vivo studies:
Compare TLR7 wild-type and knockout mice
Measure IFNα levels in plasma using ELISA
Assess lymphocyte activation via flow cytometry (CD69 expression)
Determine viral titers through quantitative PCR or plaque assays
In vitro studies:
Isolate pDCs from wild-type and TLR7 knockout mice
Expose to recombinant viral proteins
Measure IFNα production
Use TLR7 agonists and antagonists as controls
Molecular binding studies:
Express recombinant TLR7 and viral proteins
Perform binding assays (co-IP, SPR)
Use mutagenesis to identify key interaction residues
The data table below summarizes findings from a representative experiment comparing TLR7 wild-type and knockout mice:
| Parameter | TLR7 Wild-type Mice | TLR7 Knockout Mice |
|---|---|---|
| Plasma IFNα levels post-infection | High (>1000 pg/ml) | Low (<100 pg/ml) |
| CD69+ B cells (%) | 60-80% | 10-20% |
| CD69+ T cells (%) | 40-60% | 5-15% |
| LDV plasma titers | ~10^8 ID50/ml | ~10^8 ID50/ml |
This table demonstrates that while TLR7 signaling is critical for the interferon response and lymphocyte activation, it does not significantly impact viral replication .
LDV infection can be detected through several complementary approaches:
Lactate dehydrogenase (LDH) enzyme levels:
Molecular detection:
Immunological methods:
Experimental inoculation:
Transfer suspected infected material to naive mice
Monitor for LDH elevation and other signs of infection
Useful for confirming infectious potential
For research facilities, a combined approach using LDH screening followed by PCR confirmation provides the most reliable detection protocol. The limitation of relying solely on LDH elevation is the possibility of false positives from other sources of cellular damage .
While the search results don't provide specific information about distinguishing LDV strains, general virology principles suggest several approaches:
Sequence-based differentiation:
PCR amplification and sequencing of strain-specific regions
Strain-specific PCR primers designed to target variable regions
Restriction fragment length polymorphism (RFLP) analysis
Protein-based approaches:
Develop strain-specific antibodies against recombinant viral proteins
Perform Western blot analysis to detect strain-specific epitopes
Use ELISA with strain-specific antibodies
Functional assays:
A robust differentiation protocol would combine sequence analysis with functional assays to confirm strain identity, particularly when distinguishing between neurotropic and non-neurotropic variants.
Future research on LDV Protein X (VPX) could profitably focus on:
Structural biology approaches:
Determining high-resolution structures using X-ray crystallography or cryo-EM
Mapping functional domains through mutagenesis studies
Host-pathogen interaction studies:
Identifying cellular binding partners using proximity-based labeling approaches
Characterizing effects on host cell signaling pathways
Immunomodulatory function:
Investigating potential role in TLR7 signaling modulation
Exploring impact on IFNα production and response
Therapeutic and vaccine applications:
Evaluating VPX as a potential target for antivirals
Assessing immunogenicity and potential for vaccine development
Evolutionary studies:
Comparative analysis with related arteriviruses
Investigation of adaptive mutations under selective pressure