ICL Antibody

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Description

Definition and Biological Role of ICL

Isocitrate Lyase (ICL) catalyzes the cleavage of isocitrate into glyoxylate and succinate, bypassing the citric acid cycle. This enzyme is essential for organisms utilizing fatty acids or acetate as carbon sources, including plants (e.g., Arabidopsis thaliana), fungi, and pathogenic bacteria .

ICL Antibodies: Types and Applications

Anti-ICL antibodies are primarily used to detect and quantify ICL expression in research settings. Key applications include:

  • Western Blotting (WB): Detecting ICL protein levels in plant or microbial lysates .

  • Enzyme-Linked Immunosorbent Assay (ELISA): Quantifying ICL in vitro .

  • Immunohistochemistry (IHC): Localizing ICL in tissue sections .

Research Findings and Clinical Relevance

  • Plant Studies: Anti-ICL antibodies have been used to investigate glyoxylate cycle activity in Arabidopsis under stress conditions, revealing upregulated ICL during seed germination .

  • Infectious Disease: In microbial pathogens like Mycobacterium tuberculosis, ICL is a virulence factor; antibodies against ICL assist in developing therapeutic strategies .

  • Autoimmunity: While unrelated to ICL (enzyme), idiopathic CD4+ lymphopenia (ICL) studies highlight autoreactive antibodies targeting T cells, underscoring antibody diversity in immune pathologies .

Key Suppliers and Validation

  • ICL Inc.: Produces antibodies for IVD and research, validated via ELISA, WB, and flow cytometry . Notable products include anti-GFAP and anti-IgG4 antibodies.

  • Novus Biologicals: Offers human-reactive IgM antibodies for ICL detection .

  • Biorbyt: Specializes in plant-reactive ICL antibodies with batch-to-batch consistency .

Challenges and Future Directions

  • Specificity Issues: Cross-reactivity with homologous proteins in non-target species requires rigorous validation .

  • Therapeutic Potential: Engineered antibodies against microbial ICL could combat antibiotic-resistant infections .

  • Biomarker Development: ICL expression profiling in cancer or metabolic disorders remains underexplored .

Product Specs

Buffer
Preservative: 0.03% ProClin 300; Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
14-16 week lead time (made-to-order)
Synonyms
ICL antibody; At3g21720 antibody; MSD21.3Isocitrate lyase antibody; ICL antibody; EC 4.1.3.1 antibody; Isocitrase antibody; Isocitratsysase antibody
Target Names
ICL
Uniprot No.

Target Background

Function
Plays a role in lipid mobilization during the growth of higher plant seedlings.
Database Links

KEGG: ath:AT3G21720

STRING: 3702.AT3G21720.1

UniGene: At.38005

Protein Families
Isocitrate lyase/PEP mutase superfamily, Isocitrate lyase family
Subcellular Location
Glyoxysome.

Q&A

What is Idiopathic CD4 Lymphopenia (ICL) and how prevalent are autoantibodies in this condition?

Comprehensive autoantigen array analysis reveals that ICL patients have significantly elevated levels of both IgG and IgM autoantibodies compared to healthy controls. Specifically, ICL patients have demonstrated significant IgG autoantibodies against 57 distinct autoantigens and IgM autoantibodies against 39 autoantigens . Interestingly, about 30% of these autoantigens are recognized by both IgG and IgM antibodies, suggesting potential epitope spreading or ongoing autoimmune processes .

How should researchers categorize ICL patients when studying autoantibody profiles?

When designing studies examining autoantibody profiles in ICL, researchers should consider categorizing patients into at least three distinct groups to account for heterogeneity:

  • Patients without diagnosed autoimmune disease and without serological evidence of clinical autoantibodies

  • Patients seropositive for clinical autoantibodies but not meeting criteria for specific autoimmune diagnosis

  • Patients with diagnosed autoimmune disease(s)

This classification helps determine whether autoantibody patterns correlate with clinical autoimmunity status. Interestingly, research has shown that the number and specificity of autoantibodies demonstrate considerable heterogeneity not clearly explained by clinical autoimmune status . This suggests that autoantibody production in ICL may be mechanistically distinct from conventional autoimmune diseases or represent a universal response to lymphopenia regardless of autoimmunity status.

What are the most common autoantibody targets identified in ICL patients?

ICL patients demonstrate autoantibodies against a diverse array of targets. The most prominent IgG autoantibodies identified include:

RankIgG Autoantibody TargetAssociated Conditions
1Anti-threonyl-tRNA synthetase (anti-PL-7)Anti-synthetase syndrome
2Anti-myeloperoxidase (anti-MPO)Vasculitis, granulomatosis with polyangiitis
3Anti-muscarinic receptorSjögren's syndrome

For IgM autoantibodies, the predominant targets include:

RankIgM Autoantibody TargetAssociated Conditions
1Collagen VIVasculitis, SLE
2Small nuclear ribonucleoprotein D1 (SmD1)SLE
3Fibrinogen SRheumatoid arthritis

These findings demonstrate that ICL patients harbor autoantibodies typically associated with various autoimmune conditions, even when they don't fulfill clinical diagnostic criteria for these diseases .

What techniques are most effective for detecting and characterizing autoantibodies in ICL patients?

Multiple complementary approaches are recommended for comprehensive autoantibody detection in ICL:

Autoantigen Arrays: Multiplex autoantigen microarrays containing clinically relevant autoantigens (124-plex or greater) provide high-throughput screening for both IgG and IgM autoantibodies. This approach efficiently identifies the breadth of autoreactivity in ICL patients .

Human Proteome Microarrays: For broader coverage, arrays containing >9,000 purified full-length human proteins in native conformations can detect private (not shared) autoantibodies against the entire human proteome. This is particularly useful given the high heterogeneity observed in the antibody response in ICL cohorts .

Flow Cytometry-Based Assays: For detecting antibodies against cell surface targets, incubating healthy donor PBMCs with sera from ICL patients followed by staining for human IgG (and isotypes) and human IgM allows for direct detection of anti-lymphocyte antibodies. This approach has identified anti-CD4+ T cell antibodies in approximately 30% of ICL patients .

Isotype Determination: Determining specific isotypes (IgG1, IgG2, IgG3, IgG4) provides insight into potential effector functions of the autoantibodies. In ICL, anti-CD4+ T cell antibodies are predominantly IgG1 and IgG4 isotypes .

Functional Assays: Complement-dependent cytotoxicity (CDC) and antibody-dependent cell-mediated cytotoxicity (ADCC) assays are essential to determine whether autoantibodies identified are potentially pathogenic and can actively contribute to lymphocyte depletion .

How should researchers design experiments to investigate the pathogenicity of autoantibodies in ICL?

A comprehensive experimental approach to investigate autoantibody pathogenicity in ICL should include:

  • Initial Screening for Binding: Using flow cytometry to detect IgG and IgM antibodies binding to various lymphocyte populations (CD4+ T cells, CD8+ T cells, NK cells, B cells).

  • Isotype Characterization: Determining the IgG subclasses (IgG1, IgG2, IgG3, IgG4) to predict potential effector functions, as different isotypes activate complement and Fc receptors with varying efficiency.

  • In Vitro Cytotoxicity Assays:

    • CDC Assays: Incubating target cells with patient sera and complement sources to determine if antibodies can fix complement and induce cell lysis.

    • ADCC Assays: Co-culturing target cells with patient sera and effector cells (NK cells or monocytes) to assess antibody-mediated cellular cytotoxicity.

  • In Vivo Complement Activation Detection: Evaluating evidence of complement deposition on CD4+ T cells from ICL patients using staining for C3d or C4d.

  • Longitudinal Sampling: Assessing the stability of autoantibody profiles over time and correlating with clinical parameters such as CD4+ T cell counts.

Research has shown that approximately half of the ICL patients with anti-CD4+ T cell antibodies demonstrate the ability to trigger lysis of CD4+ T cells, and in vivo classical complement activation on CD4+ T cells has been detected in 14% of ICL patients .

What controls are essential when conducting immunohistochemistry/immunocytochemistry experiments to detect ICL-related antibodies?

When conducting IHC/ICC experiments in ICL antibody research, several controls are critical for ensuring reliable results:

  • No Primary Antibody Control: Include samples incubated with secondary antibody only to identify potential non-specific binding of the secondary antibody.

  • Isotype Control: Use an irrelevant primary antibody of the same isotype, species, and concentration as the test antibody to identify potential Fc receptor binding or other non-specific interactions.

  • Absorption Control: Pre-absorb the primary antibody with the target antigen before staining to confirm specificity.

  • Tissue Type Control: Include known positive and negative tissue controls to validate staining patterns.

  • Fixation Controls: When optimizing protocols, test multiple fixation methods as different epitopes may be preserved or masked depending on the fixative used .

The choice of detection method (direct or indirect), labeling method (fluorescence or chromogenic), and visualization technique must be optimized for each study based on the abundance of the target and the sample type being examined .

What evidence suggests that autoantibodies actively contribute to CD4+ T cell depletion in ICL?

Multiple lines of evidence support a potential pathogenic role for autoantibodies in ICL:

  • Direct Binding to CD4+ T Cells: Approximately 30% of ICL patients have detectable IgG antibodies against CD4+ T cells, with a similar percentage showing IgM anti-CD4+ T cell antibodies .

  • Functional Cytotoxicity: Half of the ICL patients with anti-CD4+ T cell antibodies demonstrate antibody-mediated lysis of CD4+ T cells through complement-dependent mechanisms .

  • In Vivo Complement Activation: Classical complement activation on CD4+ T cells has been detected in 14% of ICL patients, suggesting active complement-mediated injury to these cells .

  • Temporal Relationship: In some cases, there is a correlation between rising levels of anti-CD4+ T cell antibodies and declining CD4+ T cell counts. For example, one patient who initially responded to IL-7 therapy with increased CD4+ counts subsequently experienced a sudden rise in anti-CD4+ T cell antibodies coinciding with a drop in CD4+ counts .

  • Targeted Antibody Specificities: Pathway analysis of autoantibody targets in ICL patients revealed that CD3 and TCR were among the top four upstream regulators affected, suggesting specific targeting of T cell components .

These findings collectively suggest that autoantibodies may actively impede lymphocyte recovery through antibody-dependent cell-mediated cytotoxicity and complement-dependent cytotoxicity in a subset of ICL patients .

How do autoantibody profiles in ICL patients with autoimmune disease differ from those without clinical autoimmunity?

Contrary to what might be expected, research indicates that autoantibody profiles do not significantly differ between ICL patients with and without clinical autoimmune disease. Key observations include:

  • Similar Breadth of Autoreactivity: When quantifying the number of targets recognized at significant levels (Z ≥ 4), there was no significant difference in the number of antigens recognized by IgG or IgM antibodies among the three ICL subgroups (those without autoimmune disease, those with clinical autoantibodies but without autoimmune diagnosis, and those with diagnosed autoimmune disease) .

  • Lack of Distinct Clustering: Hierarchical clustering analysis based on autoantigen recognition patterns showed similar patterns among all ICL samples, with no obvious subgrouping based on autoimmune status .

  • Principal Component Analysis: While ICL patients as a group segregated from healthy controls, patients from the three autoimmune groups did not cluster separately from each other .

  • Protein Microarray Analysis: When screening against the human proteome, ICL patients with clinical autoimmune disease (group 3) did not show a higher number of targeted proteins compared to other ICL patients without autoimmune disease .

These findings suggest that the high prevalence of autoantibodies in ICL is likely related to the underlying immune dysregulation characteristic of ICL itself rather than being driven by clinical autoimmune manifestations .

What are the predominant isotypes of anti-CD4+ T cell antibodies in ICL, and what are their potential functional implications?

Isotype determination of anti-CD4+ T cell antibodies in ICL reveals specific patterns with important functional implications:

  • Predominant Isotypes: Among ICL patients with anti-CD4+ T cell IgG, the majority have IgG1 (n = 5), IgG4 (n = 8), or both isotypes (n = 4) .

  • Co-occurrence with IgM: Patients positive for both anti-CD4+ T cell IgG and IgM tend to have a predominance of the IgG1 isotype, while those positive for IgG but negative for IgM predominantly express the IgG4 isotype .

Functional Implications:

The presence of these specific isotypes suggests different potential mechanisms of autoantibody-mediated pathogenicity in ICL patients. The temporal stability of these isotype patterns over time, as demonstrated in longitudinal samples from ICL patients, suggests a persistent underlying process rather than transient antibody production .

What approaches should researchers consider for designing therapeutic antibodies targeting specific epitopes?

For researchers developing therapeutic antibodies, a structured approach incorporating computational and experimental validation is essential:

  • Deep Learning Models: Advanced computational approaches like IgDesign can design antibody complementarity-determining regions (CDRs) with high success rates. This deep learning method can design heavy chain CDR3 (HCDR3) or all three heavy chain CDRs (HCDR123) using native backbone structures of antibody-antigen complexes .

  • Experimental Validation Pipeline: Any computational design must be validated through:

    • Surface plasmon resonance (SPR) to confirm binding

    • Comparison to baseline antibodies from training sets

    • Validation across multiple therapeutic antigens

  • Optimization Strategies:

    • Focus on designing both HCDR3 alone and HCDR123 together

    • Scaffold designs into native antibody's variable region

    • Screen multiple designs (e.g., 100 per approach) to identify optimal candidates

Research has demonstrated that deep learning-based antibody design can produce binders to multiple therapeutic antigens with high success rates and, in some cases, improved affinities compared to clinically validated reference antibodies .

What challenges exist in determining causality between autoantibodies and lymphopenia in ICL?

Establishing causality between autoantibodies and lymphopenia in ICL presents several significant challenges:

  • Temporal Relationship Ambiguity: It remains difficult to determine whether autoantibodies precede or follow lymphopenia, as most patients are diagnosed after lymphopenia is established.

  • Heterogeneity of Targets: Most autoantibody targets in ICL are private (not shared among patients), complicating efforts to identify universal pathogenic mechanisms .

  • Functional Relevance: While 30% of ICL patients have anti-CD4+ T cell antibodies, only half of these demonstrate in vitro cytotoxicity, raising questions about the functional significance of the remainder .

  • Coexisting Immune Defects: ICL patients may have additional immune dysregulation beyond autoantibodies, including impaired T cell development, thymic output, or homeostatic proliferation that could independently contribute to lymphopenia.

  • Longitudinal Stability: While some patients show correlation between antibody levels and CD4+ counts, others maintain stable antibody levels despite fluctuations in cell counts, suggesting complex or multifactorial pathogenesis .

To address these challenges, prospective studies with pre-lymphopenia samples, animal models of passive antibody transfer, and interventional studies specifically targeting autoantibodies would provide more definitive evidence of causality.

How might the study of autoantibodies in ICL inform potential therapeutic approaches?

Understanding autoantibodies in ICL opens several potential therapeutic avenues:

  • Antibody Depletion Strategies:

    • Plasmapheresis or immunoadsorption to physically remove pathogenic autoantibodies

    • B-cell depletion therapy (e.g., rituximab) to reduce antibody production at the source

    • Proteasome inhibitors to target plasma cells producing autoantibodies

  • Complement Inhibition:

    • Given the detection of classical complement activation on CD4+ T cells in 14% of ICL patients, complement inhibitors might protect against antibody-mediated cytotoxicity

  • Fc Receptor Blockade:

    • For patients with predominant IgG1 anti-CD4+ T cell antibodies that may mediate ADCC, blocking Fc receptors could potentially reduce cellular cytotoxicity

  • Epitope-Specific Interventions:

    • Development of decoy antigens to neutralize specific pathogenic autoantibodies

    • Tolerance induction to dominant epitopes recognized by autoantibodies

  • Combined Approaches:

    • Autoantibody removal/suppression combined with immune stimulation (e.g., IL-7 therapy)

    • The observed case where IL-7 therapy temporarily overcame CD4+ T cell depletion despite persistent autoantibodies suggests that combining approaches may be effective

These potential therapeutic strategies highlight the importance of identifying and characterizing autoantibodies in individual ICL patients, potentially enabling more personalized treatment approaches targeting the specific pathogenic mechanisms at play.

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