Recombinant Mycobacterium avium Argininosuccinate synthase (argG)

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Description

Argininosuccinate Synthase (argG) in Bacterial Systems

Argininosuccinate synthase (ASS), encoded by the argG gene, catalyzes the ATP-dependent condensation of citrulline and aspartate to form argininosuccinate in the arginine biosynthesis pathway. This enzyme is critical for nitrogen metabolism and survival under stress conditions in many bacteria .

  • Key Features of ASS:

    • Molecular weight: ~44 kDa (predicted for Corynebacterium glutamicum) .

    • Conserved motifs: ATP-binding regions (e.g., AHGCTGKGN and RAGAQGVGR) .

    • Substrate specificity: Requires ATP, citrulline, and aspartate .

Heterologous Expression of argG in Other Species

While no studies on M. avium argG were identified, research on homologous genes in Corynebacterium glutamicum and Lactobacillus plantarum provides foundational insights:

Case Study: Corynebacterium glutamicum argG

  • The argG gene was cloned via heterologous complementation in E. coli mutants (e.g., argG⁻) .

  • Recombinant expression confirmed functional enzyme production (~44 kDa) with ATP-binding activity .

  • Sequence homology: 71% identity to Mycobacterium tuberculosis and 67% to Streptomyces clavuligerus .

Case Study: Lactobacillus plantarum argG

  • Heterologous expression of argG enhanced acid tolerance by increasing ASS activity by 11-fold under stress (pH 3.7) .

  • Arginine production increased, demonstrating the enzyme’s role in stress adaptation .

Table 1: Comparative Analysis of argG Expression in Bacterial Systems

SpeciesASS Activity IncreaseKey FindingReference
Corynebacterium glutamicumN/AATP-binding motifs identified
Lactobacillus plantarum11-fold at pH 3.7Enhanced acid resistance via arginine synthesis

Implications for Mycobacterium avium Research

Although M. avium argG has not been explicitly studied, genomic data suggest similarities to other mycobacterial species:

  • M. avium’s genome contains nitrogen metabolism pathways homologous to M. tuberculosis .

  • Glycopeptidolipid biosynthesis in M. avium involves clustered gene loci (e.g., ser2A for rhamnosyltransferases) , indicating potential co-regulation with metabolic genes like argG.

Research Gaps and Future Directions

  1. Gene Identification: No argG sequence or recombinant expression studies for M. avium are documented in the provided sources.

  2. Functional Studies: ASS activity, substrate kinetics, and stress-response roles remain uncharacterized in M. avium.

  3. Therapeutic Potential: Arginine biosynthesis pathways could be targeted for antimicrobial strategies, as seen in M. tuberculosis .

Product Specs

Form
Lyophilized powder. We will ship the format we have in stock. If you have special format requirements, please note them when ordering.
Lead Time
Delivery time varies by purchase method and location. Consult your local distributor for specific delivery times. All proteins are shipped with blue ice packs by default. Request dry ice in advance for an extra fee.
Notes
Avoid repeated freezing and thawing. Working aliquots can be stored at 4°C for up to one week.
Reconstitution
Briefly centrifuge the vial before opening. Reconstitute protein in sterile deionized water to 0.1-1.0 mg/mL. Add 5-50% glycerol (final concentration) and aliquot for long-term storage at -20°C/-80°C. Our default final glycerol concentration is 50%.
Shelf Life
Shelf life depends on storage conditions, buffer ingredients, storage temperature, and protein stability. Liquid form: 6 months at -20°C/-80°C. Lyophilized form: 12 months at -20°C/-80°C.
Storage Condition
Store at -20°C/-80°C upon receipt. Aliquot for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
Tag type is determined during manufacturing. If you require a specific tag, please inform us and we will prioritize its development.
Synonyms
argG; MAV_3112Argininosuccinate synthase; EC 6.3.4.5; Citrulline--aspartate ligase
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-398
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Mycobacterium avium (strain 104)
Target Names
argG
Target Protein Sequence
MSERVILAYS GGLDTSVAIS WIGKETGREV VAVAIDLGQG GEDMEVIRQR ALDCGAVEAV VVDARDEFAE GYCLPTIRNN ALYMDRYPLV SAISRPLIVK HLVAAAREHG GSIVAHGCTG KGNDQVRFEV GFASLAPDLE VLAPVRDYAW TREKAIAFAE ENAIPINVTK RSPFSIDQNV WGRAVETGFL EHLWNAPTKD VYAYTEDPTL NWSTPDEVIV GFERGVPVSI DGKPVSVLGA IEELNARAGA QGVGRLDVVE DRLVGIKSRE IYEAPGAMVL ITAHTELEHV TLERELGRFK RHTDQRWAEL VYDGLWYSPL KAALESFVDK TQEHVTGEIR MVLHGGHIAV NGRRSAESLY DFNLATYDEG DSFDQSAAKG FVYVHGLSSK IASRRDQR
Uniprot No.

Target Background

Database Links

KEGG: mav:MAV_3112

Protein Families
Argininosuccinate synthase family, Type 1 subfamily
Subcellular Location
Cytoplasm.

Q&A

What is Argininosuccinate synthase (argG) in Mycobacterium avium and what is its biological significance?

Argininosuccinate synthase (argG) is a critical enzyme in the arginine biosynthetic pathway of Mycobacterium avium. It catalyzes the conversion of citrulline and aspartate to argininosuccinate, a precursor to arginine. In Mycobacterium avium (strain 104), this protein plays an essential role in nitrogen metabolism and amino acid biosynthesis. The biological significance of argG extends beyond simple metabolic functions, as arginine biosynthesis is linked to virulence and persistence mechanisms in mycobacterial pathogens . The protein's importance is underscored by the fact that Mycobacterium avium complex (MAC) is a leading cause of opportunistic bacterial infections in immunocompromised patients, particularly those with advanced AIDS .

How does recombinant argG differ from native argG in functional properties?

Recombinant Mycobacterium avium argG protein typically maintains the core catalytic properties of the native enzyme but may exhibit differences in post-translational modifications depending on the expression system used. When expressed in heterologous systems such as E. coli, Yeast, Baculovirus, or Mammalian cells , the recombinant protein may lack mycobacteria-specific modifications that could affect stability or substrate affinity. The amino acid sequence (aa 1-398) represents the complete protein sequence, which is crucial for maintaining the three-dimensional structure necessary for catalytic activity. Researchers should be aware that differences in folding kinetics and chaperone availability in heterologous expression systems may lead to subtle functional variations compared to native argG expressed within Mycobacterium avium.

What are the optimal expression systems for producing functional recombinant Mycobacterium avium argG?

Based on established methodologies, several expression systems have been successfully employed for recombinant Mycobacterium avium protein production:

  • E. coli expression system: Most commonly used due to rapid growth and high protein yields. Optimal for argG when using T7-based expression vectors with controlled induction parameters (0.1-1.0 mM IPTG at OD600 0.6-0.8, followed by expression at 16-25°C for 16-24 hours to enhance proper folding) .

  • Mycobacterial expression systems: M. smegmatis serves as a particularly suitable host for expressing M. avium genes due to its closer physiological similarity to the native environment . The mycobacterial hsp60 promoter has been successfully utilized for recombinant gene expression in this system, as demonstrated with other M. avium proteins .

  • Yeast and Baculovirus systems: Preferable when post-translational modifications are critical. These systems provide eukaryotic cellular machinery that may produce proteins with conformations more similar to those processed in human cells during infection .

The choice of expression system should be guided by the specific research application, with mycobacterial hosts being particularly valuable for functional studies and E. coli systems being advantageous for structural analyses requiring high protein yields.

What purification strategies yield the highest purity and activity of recombinant argG?

A multi-step purification approach is recommended for obtaining high-purity, active recombinant Mycobacterium avium argG:

  • Initial capture: Immobilized metal affinity chromatography (IMAC) using His-tagged argG constructs with nickel or cobalt resins. Optimal binding occurs in buffers containing 20-50 mM imidazole to reduce non-specific binding.

  • Intermediate purification: Ion exchange chromatography (typically anion exchange) utilizing the theoretical pI of argG to separate it from contaminants with different charge properties.

  • Polishing step: Size exclusion chromatography to remove aggregates and achieve >95% purity.

Throughout purification, it is critical to maintain enzyme stability by including 10-15% glycerol and 1-5 mM DTT in all buffers. Activity assays tracking the conversion of citrulline and aspartate to argininosuccinate should be performed at each purification stage to monitor yield of active protein. Final preparations should be stored with stabilizing excipients to prevent loss of activity during freeze-thaw cycles .

What are the established methods for measuring argG enzymatic activity in recombinant preparations?

The enzymatic activity of recombinant Mycobacterium avium argG can be assessed using several complementary approaches:

  • Spectrophotometric coupled assay: The standard approach involves coupling argG activity to argininosuccinase, which converts argininosuccinate to arginine and fumarate. The production of fumarate can be monitored at 240 nm. Reaction conditions typically include 50 mM Tris-HCl (pH 7.4), 5 mM ATP, 5 mM citrulline, 5 mM aspartate, 10 mM MgCl₂, and 0.1-1 μg purified recombinant argG at 37°C.

  • Radiometric assay: Utilizing ¹⁴C-labeled aspartate to track the formation of [¹⁴C]argininosuccinate, followed by separation using ion-exchange chromatography or TLC and quantification by scintillation counting.

  • LC-MS/MS analysis: A more sensitive approach that directly quantifies the conversion of substrates to products without the need for coupling enzymes or radioactive materials.

For kinetic parameter determination, researchers should measure initial velocities across a range of substrate concentrations (0.1-10 mM for both citrulline and aspartate) and fit the data to appropriate enzyme kinetic models to determine Km, Vmax, and kcat values.

How can structural analysis of recombinant argG inform understanding of substrate binding and catalytic mechanisms?

Structural characterization of recombinant Mycobacterium avium argG provides critical insights into its function through several analytical approaches:

  • X-ray crystallography: The gold standard for high-resolution structure determination, requiring purification to >95% homogeneity and screening of crystallization conditions. Co-crystallization with substrates (citrulline, aspartate) or substrate analogs provides detailed information about the substrate-binding pocket and catalytic residues.

  • Cryo-electron microscopy: An alternative approach for structural determination when crystallization proves challenging.

  • Molecular dynamics simulations: Computational approaches to model substrate binding and enzyme flexibility based on resolved structures.

  • Hydrogen-deuterium exchange mass spectrometry (HDX-MS): For mapping protein dynamics and conformational changes upon substrate binding without requiring crystallization.

  • Site-directed mutagenesis: Systematic mutation of conserved residues followed by activity assays to validate the roles of specific amino acids in catalysis and substrate binding.

The structural data should be analyzed in the context of known argG structures from other organisms to identify both conserved catalytic mechanisms and species-specific features that might be targeted for selective inhibition.

How does argG function contribute to Mycobacterium avium virulence and host interaction?

The argG enzyme plays multifaceted roles in Mycobacterium avium pathogenesis:

  • Nutrient acquisition and metabolic adaptation: argG enables M. avium to synthesize arginine in nutrient-limited environments within host macrophages. This biosynthetic capability contributes to bacterial persistence in granulomatous lesions where amino acid availability may be restricted .

  • Immunomodulation: Arginine metabolism intersects with host immune responses, as both pathogen and host cells compete for this substrate. Host macrophages utilize arginine for nitric oxide production via inducible nitric oxide synthase (iNOS), which is critical for antimicrobial activity. The presence of bacterial argG may modulate this host defense mechanism .

  • Granuloma formation and maintenance: In pulmonary MAC infections, granulomatous inflammation is a hallmark feature . The argG pathway potentially influences the microenvironment within granulomas by affecting local arginine concentration and subsequent immune cell polarization.

Research utilizing fluorescent multiplex immunohistochemistry (fmIHC) in mouse models has demonstrated that M. avium infection induces complex macrophage polarization patterns, with increased iNOS/Arg1 double-positive macrophages in granulomatous lesions during peak bacterial loads . This suggests an intricate relationship between mycobacterial arginine metabolism and host immune responses that contributes to disease progression.

What are the methodological approaches for studying argG function in Mycobacterium avium infection models?

To investigate the role of argG in Mycobacterium avium pathogenesis, researchers can employ several complementary methodologies:

  • Genetic manipulation strategies:

    • Construction of argG knockout or knockdown strains using specialized mycobacterial recombineering techniques

    • Complementation studies with wild-type or mutant argG to confirm phenotypes

    • Conditional expression systems to study argG function at different infection stages

  • In vitro infection models:

    • Human and murine macrophage infection assays to assess bacterial survival and replication

    • Measurement of cytokine production, reactive oxygen/nitrogen species, and macrophage polarization markers in response to wild-type versus argG-modified strains

  • In vivo infection models:

    • The B6.Sst1S congenic mouse model, which develops human-like pulmonary granulomas, is particularly valuable for studying M. avium pathogenesis

    • Intranasal or intrabronchial infection routes to establish pulmonary disease

    • Tracking disease progression using bacterial burden assessment, histopathology, and advanced imaging techniques

  • Analytical methods for assessing argG function during infection:

    • Transcriptomic analysis to determine argG expression levels during different infection phases

    • Metabolomic profiling to measure arginine pathway metabolites in infected tissues

    • Fluorescent multiplex immunohistochemistry (fmIHC) to visualize the spatial relationship between bacterial antigens and host immune markers within granulomas

The integration of these approaches provides a comprehensive understanding of argG's contribution to M. avium pathophysiology and identifies potential therapeutic intervention points.

How does Mycobacterium avium argG compare structurally and functionally to homologs in other pathogenic mycobacteria?

Comparative analysis of argG across mycobacterial species reveals important evolutionary and functional relationships:

SpeciesSequence Identity to M. avium argGKey Structural DifferencesFunctional Implications
M. tuberculosis85-90%Subtle differences in active site loop regionsSimilar catalytic efficiency but potential differences in regulation
M. leprae80-85%More compact structure due to genome reductionRetained essential catalytic residues despite evolutionary pressure
M. smegmatis75-80%More flexible substrate binding pocketBroader substrate tolerance but lower specificity
M. abscessus70-75%Variation in surface-exposed epitopesPotentially different immunogenicity profile

Phylogenetic analysis positions M. avium argG as evolutionarily closer to M. tuberculosis than to rapidly growing mycobacteria. Despite high sequence conservation in catalytic domains, species-specific differences exist in regulatory regions and surface-exposed epitopes. These differences may be exploited for developing species-specific inhibitors or diagnostic tools.

What insights can be gained from studying argG in the context of Mycobacterium avium complex (MAC) genetic diversity?

The Mycobacterium avium complex (MAC) represents a genetically diverse group of organisms, and studying argG within this context provides several important insights:

  • Conservation patterns: Analysis of argG sequences across MAC clinical isolates reveals highly conserved catalytic domains but variable flanking regions, suggesting strong selective pressure to maintain enzymatic function while allowing for regulatory adaptations.

  • Association with virulence: Genome-wide association studies (GWAS) approaches to MAC have identified potential correlations between specific argG variants and clinical outcomes . These associations may highlight functionally important polymorphisms that influence pathogenicity.

  • Evolutionary history: Ancestral recombination graph (ARG) analysis techniques can reveal the evolutionary history of argG within the MAC population, identifying instances of horizontal gene transfer or recombination events that have shaped its current form .

  • Strain-specific adaptations: Comparing argG expression and activity across different MAC strains (e.g., MAC 109 and 11) provides insights into strain-specific metabolic adaptations that may contribute to differential virulence or drug susceptibility profiles .

  • Biogeographic distribution: Geographic analysis of argG variants can reveal region-specific evolutionary pressures and transmission patterns of MAC lineages.

These comparative analyses not only enhance our fundamental understanding of argG biology but also inform targeted therapeutic approaches that account for MAC genetic diversity.

What are the methodological challenges in expressing and purifying recombinant argG for structural studies?

Researchers face several significant challenges when producing recombinant Mycobacterium avium argG for structural studies:

  • Protein solubility issues: Mycobacterial proteins often form inclusion bodies in heterologous expression systems due to their unique folding requirements and hydrophobic properties. To address this:

    • Optimize expression at lower temperatures (16-20°C)

    • Use solubility-enhancing fusion partners (e.g., MBP, SUMO, thioredoxin)

    • Explore refolding protocols from inclusion bodies using stepwise dialysis against decreasing concentrations of chaotropic agents

  • Protein stability concerns: Recombinant argG may exhibit limited stability in solution, complicating crystallization efforts. Strategies include:

    • Thermal shift assays to identify stabilizing buffer conditions

    • Addition of substrate analogs or product molecules to stabilize the active conformation

    • Surface entropy reduction through engineered mutations of surface residues to enhance crystallizability

  • Post-translational modifications: If M. avium argG undergoes species-specific modifications, expression in mycobacterial systems may be necessary. M. smegmatis has proven effective as a host for expressing M. avium genes in previous studies .

  • Oligomeric state determination: Accurate characterization of the native oligomeric state is crucial for structural studies. Techniques include:

    • Size exclusion chromatography coupled with multi-angle light scattering (SEC-MALS)

    • Analytical ultracentrifugation

    • Native mass spectrometry

  • Crystallization challenges: Mycobacterial proteins often resist crystallization due to inherent flexibility or surface properties. Advanced approaches include:

    • In situ proteolysis during crystallization

    • Surface residue mutation to enhance crystal contacts

    • Lipidic cubic phase crystallization for proteins with hydrophobic patches

Addressing these challenges requires an integrated approach combining protein engineering, optimized expression conditions, and advanced biophysical characterization techniques.

How can recombinant argG be utilized for developing targeted therapeutics against Mycobacterium avium infections?

Recombinant Mycobacterium avium argG offers several strategic pathways for therapeutic development:

  • Structure-based drug design: High-resolution structural data from purified recombinant argG enables:

    • In silico screening of compound libraries against the active site

    • Fragment-based drug discovery approaches

    • Rational design of transition state analogs as potential inhibitors

  • High-throughput screening platforms:

    • Development of fluorescence-based or colorimetric argG activity assays suitable for screening compound libraries

    • Cell-based assays using argG-dependent M. avium strains to identify compounds with cellular activity

  • Allosteric inhibitor development:

    • Identification of allosteric sites through hydrogen-deuterium exchange mass spectrometry

    • Design of compounds that bind to regulatory sites rather than the conserved active site, potentially offering greater selectivity

  • Immunological targeting approaches:

    • Use of recombinant argG to identify immunodominant epitopes

    • Development of antibody-drug conjugates targeting argG-expressing mycobacteria

    • Design of T-cell-based immunotherapies directed against cells harboring M. avium

  • Combination therapy strategies:

    • Identification of synergistic inhibitor combinations targeting argG and other essential mycobacterial pathways

    • Exploitation of metabolic vulnerabilities created by argG inhibition

The development pathway should include validation in relevant disease models, such as the B6.Sst1S mouse model that recapitulates human-like pulmonary granulomas in MAC infection . This approach would enable assessment of both efficacy and the ability of compounds to penetrate granulomatous lesions, which is crucial for successful treatment of pulmonary MAC disease.

How can CRISPR-Cas systems be optimized for genetic manipulation of argG in Mycobacterium avium?

Genetic manipulation of Mycobacterium avium presents unique challenges that require specialized CRISPR-Cas methodologies:

  • Mycobacteria-optimized CRISPR-Cas9 systems:

    • Custom design of promoters for optimal Cas9 expression in mycobacteria

    • Codon optimization of Cas9 for M. avium

    • Temperature-sensitive vectors for transient Cas9 expression to reduce off-target effects

  • sgRNA design considerations:

    • Targeting of PAM sites unique to argG but absent in homologous genes

    • Prediction and avoidance of secondary structures in sgRNAs that may reduce efficiency

    • Assessment of genome-wide off-target effects specific to the M. avium genome

  • Delivery methods for M. avium:

    • Optimization of electroporation protocols specific to M. avium

    • Development of specialized mycobacteriophage-based delivery systems

    • Exploration of conjugation-based transfer methods from E. coli or M. smegmatis

  • Homology-directed repair strategies:

    • Design of repair templates with extended homology arms (1-2 kb) for efficient recombination

    • Incorporation of counter-selection markers to facilitate isolation of edited strains

    • Seamless editing approaches to avoid polar effects on downstream genes

  • Verification methods:

    • Development of PCR-based screening strategies specific to the M. avium argG locus

    • Whole-genome sequencing to confirm editing and rule out off-target modifications

    • Functional assays to verify phenotypic consequences of argG modifications

This optimized CRISPR-Cas toolbox enables precise genetic manipulation of argG for functional studies, including the creation of conditional knockdowns, point mutations in catalytic residues, and reporter fusions for expression analysis during infection.

What are the emerging technologies for studying argG expression and regulation during Mycobacterium avium infection?

Cutting-edge technologies provide unprecedented insights into argG dynamics during infection:

  • Single-cell approaches:

    • Single-cell RNA sequencing of infected host cells to correlate bacterial argG expression with host cell transcriptional responses

    • Spatial transcriptomics to map argG expression within different microenvironments of granulomas

    • Flow cytometry-based reporter systems to track argG expression in bacterial populations

  • Advanced imaging technologies:

    • Fluorescent multiplex immunohistochemistry (fmIHC) to simultaneously visualize argG expression and host immune markers in tissue sections

    • Super-resolution microscopy to localize argG protein within bacterial cells

    • Intravital imaging to track argG-expressing bacteria in real-time during infection

  • Biosensor development:

    • FRET-based biosensors to monitor argG activity in living bacteria

    • Fluorescent amino acid analogs to track arginine metabolism in infected cells

    • Genetically encoded biosensors responsive to arginine pathway metabolites

  • Systems biology integration:

    • Multi-omics approaches combining transcriptomics, proteomics, and metabolomics to create comprehensive models of argG regulation

    • Network analysis to identify regulatory factors controlling argG expression

    • Machine learning algorithms to predict argG expression patterns under various infection conditions

  • In situ genetic manipulation:

    • Optogenetic or chemogenetic systems for controlled expression of argG during specific infection phases

    • Inducible degron systems for rapid argG protein depletion to study acute phenotypes

These technologies enable researchers to move beyond static analyses to dynamic understanding of argG function within the complex host-pathogen interaction landscape of M. avium infection.

What are the promising research areas for understanding the role of argG in emerging drug-resistant Mycobacterium avium strains?

Several high-priority research areas will advance understanding of argG in drug-resistant M. avium:

  • Metabolic rewiring in resistant strains:

    • Investigation of altered arginine metabolism as a potential compensation mechanism for drug-induced stress

    • Comparative metabolomic profiling of arginine pathway metabolites in susceptible versus resistant strains

    • Flux analysis to determine if argG activity is modified in response to antibiotic pressure

  • Genetic association studies:

    • Whole-genome sequencing of clinical isolates with varying drug resistance profiles to identify argG polymorphisms associated with resistance

    • Targeted introduction of identified polymorphisms to validate their contribution to resistance phenotypes

  • Transcriptional adaptation:

    • Analysis of argG expression patterns in response to antibiotic exposure

    • Identification of regulatory elements that control argG expression during drug stress

    • Epigenetic profiling to determine if DNA methylation patterns near the argG locus change in resistant strains

  • Protein-protein interaction networks:

    • Interactome mapping to identify proteins that physically associate with argG in drug-resistant backgrounds

    • Investigation of potential moonlighting functions of argG beyond its enzymatic role

    • Screens for synthetic lethal interactions with argG in the context of drug resistance

  • Therapeutic vulnerability exploitation:

    • Testing whether argG inhibition selectively sensitizes resistant strains to conventional antibiotics

    • Development of dual-targeting approaches simultaneously addressing argG and resistance mechanisms

    • Exploration of collateral sensitivity patterns where resistance to one drug creates dependency on argG function

These research directions will not only advance fundamental knowledge of M. avium pathophysiology but may also reveal new therapeutic strategies for overcoming the growing challenge of drug resistance in MAC infections.

How might argG function be explored in the context of host-directed therapies for Mycobacterium avium infections?

Host-directed therapy (HDT) approaches targeting the argG pathway represent an innovative frontier in MAC treatment:

  • Manipulation of host arginine metabolism:

    • Modulation of host arginase and iNOS activities to create an unfavorable environment for bacterial argG function

    • Evaluation of arginine supplementation strategies to potentially overwhelm bacterial arginine biosynthesis capacity

    • Testing of agents that alter host cellular arginine transport to affect availability to intracellular bacteria

  • Immunometabolic intervention:

    • Assessment of how targeting host mTOR signaling affects arginine availability and subsequent bacterial argG dependency

    • Exploration of immunomodulatory compounds that specifically alter macrophage polarization states known to affect argG expression

    • Investigation of trained immunity approaches to enhance host cell metabolism in ways that restrict bacterial arginine utilization

  • Granuloma-targeted approaches:

    • Development of nanoparticle-based delivery systems to concentrate argG-targeting compounds within granulomas

    • Studies of granuloma-modulating agents that might increase antibiotic penetration to sites of argG-expressing bacteria

    • Evaluation of matrix metalloproteinase modulators to alter granuloma structure and expose bacteria to immune clearance

  • Combination approaches:

    • Testing of synergistic combinations of host-directed agents and direct argG inhibitors

    • Identification of optimal sequencing of conventional antibiotics and host-directed interventions

    • Personalized approaches based on host genetic factors affecting arginine metabolism

  • Biomarker development:

    • Identification of host biomarkers reflecting bacterial argG activity that could guide therapeutic decisions

    • Development of non-invasive imaging approaches to monitor granuloma metabolism relevant to the argG pathway

    • Validation of surrogate endpoints for clinical trials of argG-targeted host-directed therapies

The exploration of host-directed approaches offers the potential advantage of reduced selective pressure for bacterial resistance development while potentially enhancing conventional antibiotic efficacy against persistent MAC infections.

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