Cancer: IL-32 antibodies identified overexpression in 18 cancer types, correlating with poor prognosis (HR = 1.29, p < 0.001) .
HIV: Elevated IL-32γ levels predicted CD4+ T-cell decline (Spearman ρ = 0.41, p = 0.04) .
Lupus nephritis: Renal IL-32 expression increased 3.8-fold compared to controls (p < 0.01) .
Vendor | Product | Clone | Applications | Reactivity |
---|---|---|---|---|
Proteintech | 11079-1-AP | Polyclonal | IHC, WB | Human |
R&D Systems | IC30402A | 373821 | Flow cytometry | Human |
BioLegend | 4740 | KU32-52 | ELISA, WB | Human |
R&D Systems | AF3040 | NA | Neutralization assays | Human |
Sensitivity: Detects IL-32 at concentrations as low as 15 pg/ml in ELISA .
Specificity: Distinguishes between α/γ isoforms in Western blot .
Autoimmune diseases: IL-32 antibodies reduced TNF-α production by 68% in rheumatoid arthritis synovial cultures .
Infections: Anti-IL-32 treatment decreased Leishmania parasite load by 4.2-fold in murine models .
Cancer immunotherapy: IL-32 blockade suppressed metastasis in 73% of bladder cancer xenografts .
Intracellular localization: Requires permeabilization for flow cytometry .
Isoform cross-reactivity: Most antibodies detect multiple isoforms, complicating functional studies .
Species specificity: No effective rodent analogs limit translational research .
Isoform-specific antibodies: Critical for dissecting IL-32γ's proinflammatory vs. IL-32α's regulatory roles .
Therapeutic development: Humanized anti-IL-32 antibodies show promise in phase I trials for lupus nephritis .
Biomarker validation: Total IL-32 levels correlate with HIV viral load (r = 0.54) and inflammation (IL-6 r = 0.39) .
IL32 (Interleukin 32) is a proinflammatory cytokine encoded by the IL32 gene in humans. Also known as IL-32alpha, TAIF, TAIFb, and interleukin-32 eta, this protein plays crucial roles in both innate and adaptive immune responses. Structurally, IL32 has a molecular mass of approximately 26.7 kilodaltons and a canonical amino acid length of 234 residues .
IL32 functions primarily as a secreted protein and is notably expressed in lymphocytes. The cytokine serves as an important immunological marker that can be used to identify Mature CD8 T Cells and Naive Regulatory T Cells according to the Human Reference Atlas . IL32 has been implicated in various inflammatory processes and disease mechanisms, including parasitic infections and HIV progression .
IL32 exists in multiple isoforms, with the most well-characterized being IL-32α, IL-32β, IL-32γ, and IL-32δ. These isoforms differ in their structure, expression patterns, and biological activities:
IL-32α: Generally shows lower expression levels in inflammatory conditions compared to other isoforms
IL-32β and IL-32γ: Considered the primary proinflammatory isoforms; their expression correlates with inflammatory markers and disease progression in conditions like HIV infection
IL-32δ: Less well-characterized due to lack of specific antibodies for detection at the protein level
Distinguishing between these isoforms requires specific antibodies targeting unique epitopes. While some antibodies recognize all isoforms (total IL-32), others are isoform-specific. The selection of appropriate antibodies depends on whether researchers aim to study all IL32 activity or isolate effects of individual isoforms .
IL32 antibodies have been validated for multiple research applications:
When selecting an IL32 antibody, researchers should verify that it has been validated for their specific application. Over 80 citations in scientific literature document the use of IL32 antibodies in research contexts, providing substantial evidence for their reliability in various experimental settings .
Genetic variations in the IL32 gene significantly impact its expression patterns and consequent immune responses. Research has identified several functionally important single nucleotide polymorphisms (SNPs):
rs4786370: Associated with protection against American Tegumentary Leishmaniasis (ATL), this variant modulates IL-32γ expression and influences subsequent cytokine production
rs4349147: Associated with susceptibility to localized cutaneous and mucosal leishmaniasis, affecting the immune response against Leishmania species
rs1555001: Modulates IL-32γ expression, influencing both innate and adaptive cytokine production after exposure to Leishmania parasites
These genetic variations have demonstrable functional consequences for immune responses. In experimental systems, different genotypes show altered expression patterns of IL32 isoforms and subsequently different cytokine production profiles when exposed to pathogens such as Leishmania species .
Methodologically, researchers investigating these genetic variations should consider:
Genotyping subjects for relevant IL32 polymorphisms
Correlating genotypes with IL32 isoform expression
Measuring downstream cytokine responses
Analyzing clinical outcomes in relation to genotype and expression patterns
Distinguishing between different IL32 isoforms presents significant technical challenges due to their structural similarities. Researchers should consider the following methodological approaches:
A combined analytical approach is recommended, as seen in studies where both plasma levels of specific isoforms (using selective antibodies) and total IL-32 levels (using antibodies recognizing all isoforms) are measured to comprehensively assess the IL32 profile .
IL32 antibodies serve as valuable tools for investigating disease mechanisms, particularly in infectious diseases such as leishmaniasis and HIV. Methodological considerations include:
For Leishmania infections:
IL32 isoforms shape the immune response to Leishmania species (L. amazonensis and L. braziliensis)
Experimental approaches should measure both mRNA expression and protein levels in PBMCs after stimulation with Leishmania antigens
Correlation between IL32 expression in lesion fragments and inflammatory mediators provides insights into pathogenesis
For HIV progression:
Proinflammatory isoforms of IL32 (mainly β and γ) serve as robust biomarkers for control failure in HIV-infected slow progressors
Longitudinal studies demonstrate that plasmatic levels of these isoforms at earlier clinic visits positively correlate with:
Researchers should design experiments that track both IL32 isoform expression and relevant disease markers over time to establish mechanistic relationships.
Detection of IL32 in biological samples requires careful optimization of experimental parameters:
For plasma/serum samples:
Total IL32 levels can be measured using antibodies recognizing all four prototypic isoforms (α, β, γ, and δ)
Isoform-specific detection requires selective antibodies (note: IL-32δ detection remains challenging)
Comparison between HIV-negative, elite controllers, and typical progressors shows significantly different patterns of IL32 isoform expression
For cellular samples:
Cell lysate analysis from PBMCs shows correlation with plasma levels of total IL32
Positive correlation exists between cell-associated and plasma levels of total IL32 measured from the same subjects
In inflammatory conditions, IL-32β and IL-32γ isoforms likely contribute most significantly to the total IL32 pool
Storage and handling:
Samples should be processed promptly to prevent degradation
For longitudinal studies, consistent freeze-thaw conditions must be maintained across all timepoints
Standardization of sample collection, processing, and analysis protocols is essential for reliable cross-study comparisons
Integration of IL32 antibody-based assays with other biomarkers enables comprehensive immune profiling:
Inflammatory panel integration:
IL32 measurements can be combined with established inflammatory markers such as sCD14 and IL-6
In HIV studies, the combination of IL32 isoforms with CD4/CD8 ratio and viral load provides superior predictive value for disease progression
Mechanistic insights:
Combined analysis of IL32 with downstream cytokines helps elucidate the mechanistic roles of different isoforms
In leishmaniasis studies, correlation of IL32 genotypes with cytokine responses reveals how genetic variations influence immune regulation
Technical considerations:
Standardization of sample processing is crucial when combining multiple biomarker assays
Statistical approaches should account for relationships between biomarkers
Longitudinal sampling enables identification of temporal relationships between IL32 expression and other immune parameters
Researchers commonly encounter several challenges when working with IL32 antibodies:
Cross-reactivity issues:
Some IL32 antibodies may cross-react with related proteins
Solution: Validate antibody specificity using positive and negative controls, including recombinant proteins and knockout/knockdown systems
Isoform discrimination:
Distinguishing between IL32 isoforms presents technical challenges
Solution: Use isoform-specific antibodies when available; complement protein detection with mRNA analysis when appropriate
Quantification challenges:
Accurate quantification of IL32 in complex biological samples requires careful standardization
Solution: Include appropriate standard curves and normalize to consistent reference points across experiments
Temporal considerations:
IL32 expression is temporally regulated, particularly in response to stimuli like Leishmania exposure
Solution: Design time-course experiments to capture dynamic expression patterns rather than relying on single timepoints
When faced with contradictory IL32 antibody results, researchers should:
Evaluate antibody characteristics:
Different antibodies target distinct epitopes, potentially explaining divergent results
Check antibody validation data, including the specific region of IL32 targeted
Consider biological context:
IL32 expression varies by cell type, disease state, and temporal factors
Divergent results may reflect genuine biological variation rather than technical issues
Assess methodological differences:
Sample processing methods (fresh vs. frozen, purification techniques)
Detection systems (direct vs. indirect, amplification methods)
Quantification approaches (absolute vs. relative)
Implement complementary approaches:
Validate protein findings with mRNA data when appropriate
Employ multiple antibodies targeting different epitopes
Use functional assays to confirm biological relevance
Several emerging technologies are expanding the capabilities of IL32 antibody applications:
Single-cell analysis:
Integration of IL32 antibodies into mass cytometry (CyTOF) panels
Single-cell RNA sequencing combined with protein detection for comprehensive isoform profiling
In vivo imaging:
Development of fluorescently labeled IL32 antibodies for intravital microscopy
PET imaging with radiolabeled antibodies for whole-organism IL32 distribution studies
Therapeutic applications:
Development of monoclonal antibodies targeting specific IL32 isoforms for therapeutic intervention
Potential applications in inflammatory diseases, particularly where IL32 serves as a biomarker of progression
IL32 antibodies show promising potential for diagnostic and therapeutic applications:
Diagnostic biomarkers:
Proinflammatory isoforms of IL32 (β and γ) serve as robust biomarkers for disease progression in HIV-infected slow progressors
Plasmatic levels of these isoforms correlate with clinical outcomes, suggesting utility as predictive biomarkers
Therapeutic targeting:
Identification of IL32 as a potential therapeutic target, particularly in inflammatory conditions
Selective inhibition of proinflammatory isoforms while preserving protective functions
Development of isoform-specific neutralizing antibodies for precision medicine approaches
Monitoring disease progression:
Serial measurement of IL32 isoforms to track disease activity
Integration with other biomarkers for comprehensive immune monitoring
Potential applications in guiding personalized treatment decisions
The research suggests that IL32-targeted approaches may be particularly valuable in infectious diseases like HIV and leishmaniasis, where specific genetic variations and isoform expression patterns correlate with clinical outcomes .
IL-32 exists in multiple isoforms, including IL-32α, IL-32β, IL-32γ, IL-32δ, IL-32ϵ, IL-32ζ, and IL-32θ . These isoforms are produced through alternative splicing of the IL-32 gene and exhibit different biological activities. Among these, IL-32θ has been found to possess the most dominant biological activity .
IL-32 plays a crucial role in the regulation of immune responses. It is involved in the production of various inflammatory cytokines, such as IL-8 and tumor necrosis factor-alpha (TNF-α) . IL-32 can influence cell differentiation and cell death, and it is involved in both anti-inflammatory and pro-inflammatory processes . The cytokine can exert its effects through both extracellular and intracellular pathways, although the specific receptors for IL-32 have not yet been fully identified .
IL-32 has been implicated in the pathogenesis of several diseases, including autoimmune diseases, inflammatory diseases, certain types of cancer, and infectious diseases . For example, IL-32 has been shown to play a role in asthma, where it can modulate the inflammatory response in the airways . Additionally, high levels of IL-32 expression have been observed in various tissues affected by different diseases .
Mouse anti-human IL-32 antibodies are commonly used in research to study the expression and function of IL-32 in human tissues. These antibodies are generated by immunizing mice with human IL-32 protein, leading to the production of antibodies that specifically recognize and bind to human IL-32. These antibodies are valuable tools for investigating the role of IL-32 in various biological processes and diseases.