CorA is typically assembled as a pentamer, with each subunit contributing to the formation of a channel that facilitates Mg²⁺ transport . The protein structure includes key regions such as the "willow helices" and a "basic sphincter," which are involved in the regulation of Mg²⁺ flow based on intracellular Mg²⁺ levels . The transport mechanism involves initial selectivity at the periplasmic surface, where Mg²⁺ ions are dehydrated before being transported across the membrane .
The transport of Mg²⁺ through CorA is influenced by several factors, including the number of open gates, the electrical potential across the membrane, and the Mg²⁺ driving force . CorA exhibits high selectivity for divalent cations over monovalent ions, attributed to a block and repulsion mechanism involving the Gly-Met-Asn (GMN) motif . This motif plays a central role in ensuring that CorA primarily transports Mg²⁺ while also allowing the passage of other divalent cations like nickel and cobalt, albeit with lower affinity .
In bacteria such as Helicobacter pylori, CorA is essential for viability, particularly in environments with low Mg²⁺ concentrations, such as the gastric environment . Mutants lacking functional CorA require high Mg²⁺ supplementation to survive, highlighting the critical role of CorA in Mg²⁺ acquisition .
The transport kinetics of CorA have been studied in various bacterial systems. For Salmonella typhimurium, the Km (Michaelis constant) for Mg²⁺ is approximately 15 μM, indicating high affinity, while the Km values for Co²⁺ and Ni²⁺ are higher, reflecting lower affinities . The Vmax (maximum velocity) for Mg²⁺ transport is typically higher than for other divalent cations, underscoring Mg²⁺ as the primary substrate .
| Ion | Km (μM) | Vmax (pmol/min/10⁸ cells) | Ki (μM) |
|---|---|---|---|
| Mg²⁺ | 15 | 250 | - |
| Co²⁺ | 30 | 500 | 50 |
| Ni²⁺ | 240 | 360 | 300 |
The expression and activity of CorA can be influenced by external Mg²⁺ concentrations and regulatory systems such as the PhoPQ two-component system in Salmonella typhimurium . This system helps manage metal ion toxicity by modulating CorA activity and promoting the expression of alternative Mg²⁺ transporters under low Mg²⁺ conditions .
This protein mediates the influx of magnesium ions and can also mediate cobalt and manganese uptake. It alternates between open and closed states and is activated by low cytoplasmic Mg2+ levels. Activity is inhibited when cytoplasmic Mg2+ levels are high.
KEGG: hhe:HH_1679
STRING: 235279.HH1679
Helicobacter hepaticus is a bacterial pathogen that causes chronic active hepatitis and inflammatory bowel disease (IBD) in mice. It serves as a crucial model organism for studying host-microbiota interactions and inflammatory conditions . In susceptible mouse strains, particularly those with compromised immune systems, H. hepaticus induces pathology similar to Crohn's disease in humans . The bacterium has been extensively used to investigate mechanisms of gut inflammation, providing insights into human inflammatory bowel diseases.
CorA is a magnesium transport protein found in many bacterial species, including H. hepaticus. Magnesium is an essential cofactor for numerous enzymatic reactions and plays a critical role in stabilizing cell membranes and ribosomes. The CorA protein functions as the primary magnesium uptake system in bacteria, allowing them to maintain proper magnesium homeostasis, which is crucial for growth, survival, and virulence. In pathogenic bacteria like H. hepaticus, magnesium acquisition through transporters like CorA may be particularly important during colonization of the host environment where nutrient availability can be limited.
H. hepaticus has provided significant insights into inflammatory bowel disease through multiple mechanisms:
It demonstrates how specific bacteria can trigger intestinal inflammation in genetically susceptible hosts, supporting the concept that IBD involves inappropriate immune responses to intestinal microbiota .
Studies with H. hepaticus have highlighted the crucial role of IL-10 in preventing excessive inflammatory responses to gut bacteria. When IL-10 signaling is absent, H. hepaticus infection leads to severe intestinal inflammation .
Research using this bacterium has revealed complex interactions between innate and adaptive immune responses in intestinal inflammation, particularly the roles of specific T cell subsets and innate lymphoid cells .
H. hepaticus infection models have helped elucidate the role of cytokines like IL-17, IL-23, and IL-10 in promoting or preventing intestinal inflammation .
Several mouse models have been developed to study H. hepaticus infections:
IL-10 knockout mice: These mice lack the anti-inflammatory cytokine IL-10 and develop intestinal inflammation when infected with H. hepaticus .
RAG knockout mice: These immunodeficient mice lack functional T and B cells. When reconstituted with specific T cell populations and infected with H. hepaticus, they develop intestinal inflammation .
Wild-type mice treated with anti-IL-10R antibody: This model, where normal mice are treated with antibodies that block IL-10 receptor signaling, develops colitis when infected with H. hepaticus .
C.B.17 scid mice reconstituted with CD45RB high T cells: When infected with H. hepaticus, these mice develop severe IBD similar to human disease .
Studying bacterial magnesium transport proteins like CorA is significant for several reasons:
Magnesium is essential for bacterial survival and virulence, making its transport systems potential therapeutic targets.
Transport proteins often represent accessible targets for antimicrobial development as they are frequently located on the cell surface.
Understanding how pathogens acquire essential nutrients provides insights into their adaptation to host environments.
Magnesium transport systems may play roles in stress responses and antibiotic resistance mechanisms.
Bacterial transporters can serve as antigenic targets for diagnostic test development and vaccine design.
For recombinant expression of H. hepaticus membrane proteins like CorA:
Expression system selection is critical: E. coli has been successfully used for H. hepaticus proteins, as demonstrated with the MAP18 protein expressed as a glutathione S-transferase (GST) fusion protein .
For membrane proteins specifically, consider specialized E. coli strains designed for membrane protein expression or cell-free expression systems.
Fusion tags (like GST) can facilitate protein folding, solubility, and purification. The GST-MAP18 fusion protein was successfully purified by affinity chromatography .
Codon optimization for the expression host can improve yields of difficult-to-express proteins.
Detergent solubilization techniques may be necessary for membrane proteins like CorA.
Expression conditions (temperature, induction parameters) often require optimization for membrane proteins to prevent inclusion body formation.
Distinguishing H. hepaticus-specific immune responses from those triggered by other microbiota requires sophisticated approaches:
Germ-free or defined flora models: Studies show that IL-10 knockout mice housed in germ-free conditions do not develop inflammation when infected with H. hepaticus, allowing researchers to study the bacterium's effects in isolation or in combination with defined microbial communities .
Bacterial mutant studies: Using isogenic mutants of H. hepaticus with specific virulence factors deleted helps identify which bacterial components trigger specific immune responses.
Adoptive transfer experiments: Transferring T cells from H. hepaticus-infected mice to naive recipients can help identify H. hepaticus-specific T cell responses.
Cytokine profiling: H. hepaticus infection in IL-10-deficient mice induces a characteristic cytokine profile, including increased expression of IFN-γ and IL-17 .
Microbiome analysis during infection: Studies have shown that the microbiota changes during H. hepaticus infection, with differences between susceptible and non-susceptible mice .
Studying magnesium transport systems like CorA presents several methodological challenges:
Membrane protein complexity: As integral membrane proteins, magnesium transporters can be difficult to express, purify, and characterize structurally.
Functional redundancy: Bacteria often possess multiple magnesium transport systems with overlapping functions, making it difficult to attribute specific phenotypes to individual transporters.
Conditional essentiality: Magnesium transporters may be essential only under specific environmental conditions.
Host environment replication: Creating experimental conditions that accurately mimic the magnesium availability in various host microenvironments is challenging.
Genetic manipulation difficulties: Some Helicobacter species can be difficult to genetically manipulate.
Transport activity measurement: Developing reliable assays to measure magnesium transport, especially in the context of living bacteria within host tissues, presents technical challenges.
The host cytokine network response to H. hepaticus infection is complex and can be experimentally manipulated:
Pro-inflammatory cytokines: IL-17 and IL-23 promote intestinal inflammation and are present at high levels in H. hepaticus-infected animals that develop IBD .
Anti-inflammatory cytokines: IL-10 plays a crucial protective role. IL-10-deficient mice or mice treated with anti-IL-10R antibodies develop severe colitis when infected with H. hepaticus .
Experimental manipulation approaches:
Cytokine blockade: Using antibodies against specific cytokines or their receptors, as demonstrated with anti-IL-10R treatment .
Genetic knockout models: Using mice deficient in specific cytokines or their receptors, such as IL-10 knockout mice .
Adoptive transfer of specific T cell populations: This approach helps understand how different T cell subsets contribute to cytokine production and disease .
Introduction of protective bacterial components: B. fragilis PSA has been shown to prevent H. hepaticus-induced inflammation by modulating the cytokine environment, specifically by reducing levels of pro-inflammatory cytokines IL-17 and IL-23 and promoting anti-inflammatory IL-10 .
The relationship between H. hepaticus, the gut microbiome, and inflammatory disease is multifaceted:
Microbiome dependency: Studies have shown that IL-10 knockout mice housed in germ-free conditions do not develop inflammation when infected with H. hepaticus, demonstrating that commensal flora is necessary for disease development .
Microbiome changes during infection: The microbiota changes over the course of H. hepaticus infection, with differences between IL-10 knockout mice that are susceptible or non-susceptible to inflammation .
Protective bacterial species: Bacteroides fragilis, through its polysaccharide A (PSA) component, can prevent IBD development in mice infected with H. hepaticus .
Mechanism of protection: B. fragilis PSA appears to mediate its protective effect by modulating the cytokine environment, specifically by reducing levels of pro-inflammatory cytokines IL-17 and IL-23 and promoting anti-inflammatory IL-10 .
Three-way interaction: H. hepaticus can induce different responses depending on the composition of the existing microbiota and the host's immune status, highlighting the complex interaction between pathogen, commensal microbiota, and host immunity.
Computational modeling offers powerful approaches to understanding H. hepaticus pathogenesis:
Integrated systems approach: The IBDSim model is a hybrid agent-based model that combines agent-based modeling with systems biology approaches to capture both cell-level and system-level behaviors in H. hepaticus-induced colitis .
Predictive experimentation: Computational models like IBDSim can be used for exploratory in silico experimentation, such as studying the effects of blocking lymphocyte egress from lymph nodes on intestinal inflammation or investigating how altered microbial flora composition contributes to intestinal inflammation .
Parameter sensitivity analysis: Tools like ASPASIA (Automated Simulation Parameter Alteration and SensItivity Analysis toolkit) aid in calibrating and analyzing models where interventions are required for key behaviors to emerge .
Integration of multiple data types: Computational modeling can integrate genomic, transcriptomic, proteomic, and in vivo experimental data to provide a comprehensive understanding of pathogenesis.
Therapeutic target identification: Models can help identify potential targets for therapeutic treatments and examine the effects of drug intervention on disease outcomes .
When developing antibody-based detection methods for H. hepaticus proteins:
Antigen selection is crucial: For H. hepaticus, a genomic library was constructed and screened with sera from infected mice to identify the immunoreactive MAP18 protein .
Recombinant protein expression strategy: MAP18 was successfully expressed in E. coli as a GST fusion protein and purified by affinity chromatography .
Specificity assessment: The GST-MAP18 fusion protein was detected on Western blots probed with sera from H. hepaticus-infected mice but not with sera from mice infected with related species like H. muridarum or H. bilis .
Sensitivity optimization: The recombinant protein-based ELISA using GST-MAP18 had a sensitivity of 66%, compared to 89% for a detergent extract-based ELISA .
Specificity optimization: Both the recombinant protein-based and detergent extract-based ELISAs for H. hepaticus performed with high specificity (98%) .
Comparative evaluation: New detection methods should be compared with existing methods to assess relative performance .
Recognition of assay limitations: For the H. hepaticus recombinant protein-based ELISA, antibodies to the MAP18 protein were not detected in all infected mice .