No records matching "SPBC1778.09 Antibody" were identified in:
The Antibody Registry (RRID:SCR_006397), a comprehensive database for antibody research resources .
Commercial antibody catalogs from major suppliers (e.g., R&D Systems, BioLegend, Southern Biotech) .
General antibody literature, including structural/functional studies and medical applications .
The identifier may represent an internal catalog number or provisional designation not yet registered in public databases.
Possible typographical errors (e.g., "SPBC" vs. standardized prefixes like "MAB" for monoclonal antibodies) .
The antibody could be in early developmental phases (e.g., preclinical characterization) without published data.
Proprietary restrictions may limit disclosure, as seen with some industry-developed reagents .
| Step | Action | Purpose |
|---|---|---|
| 1 | Contact the Antibody Registry (antibodyregistry.org) | Confirm if "SPBC1778.09" exists under alternate identifiers . |
| 2 | Query patent databases (e.g., USPTO, WIPO) | Identify undisclosed commercial applications. |
| 3 | Reach out to academic/core facilities | Investigate unpublished datasets or internal reports. |
While SPBC1778.09 remains uncharacterized, established workflows for antibody analysis include:
Epitope Mapping: CDR regions define antigen specificity, as seen in human Galectin-9 studies .
Functional Assays:
Commercial Reagents: Secondary antibodies like HRP-conjugated anti-mouse IgG enable signal amplification in assays .
If SPBC1778.09 becomes available, validate it using:
KEGG: spo:SPBC1778.09
STRING: 4896.SPBC1778.09.1
Sp17 autoantibody is an immune protein that targets Sp17, a highly conserved mammalian protein. Research has identified the anti-Sp17 autoantibody as a potential specific biomarker for the diagnosis and monitoring of disease activity in patients with SAPHO (synovitis, acne, pustulosis, hyperostosis, and osteitis) syndrome. SAPHO syndrome exhibits varied musculoskeletal and cutaneous manifestations that make it challenging to diagnose without specific markers. The anti-Sp17 autoantibody has been found to be significantly elevated in patients with active SAPHO syndrome compared to both patients with inactive disease and healthy controls .
Detection of Sp17 autoantibodies typically employs multiple complementary techniques. Enzyme-Linked Immunosorbent Assay (ELISA) is the primary method, where His-tagged recombinant Sp17 (0.2 μg/mL) is coated onto 96-well plates. Patient serum samples diluted 1:300 serve as the primary antibody, with HRP-labeled anti-human IgG as the secondary antibody. Results are quantified by measuring absorbance at OD450. Western blotting provides confirmatory analysis, using whole-cell lysates separated by SDS-PAGE and transferred to NC membranes. These membranes are incubated with patient sera (1:100 dilution) followed by detection with goat anti-human IgG and chemiluminescent substrates .
Sp17 autoantibody levels show significant positive correlations with established inflammatory markers in patients with active SAPHO syndrome. Research demonstrates strong correlations between serum Sp17 autoantibody levels and hypersensitive C-reactive protein (hsCRP) as well as erythrocyte sedimentation rate (ESR). Patients with elevated hsCRP or ESR consistently presented with higher levels of serum Sp17 autoantibodies. Interestingly, these correlations were only observed in patients with active SAPHO syndrome and not in those with inactive disease, indicating that Sp17 autoantibody levels specifically reflect the inflammatory status in active disease states .
The validation of Sp17 autoantibody as a specific biomarker for SAPHO syndrome involved a comprehensive, multi-step experimental approach. Initial screening was conducted using a 17K human whole-proteome microarray to identify candidate autoantibodies in SAPHO patients. The Sp17 autoantibody emerged as a promising candidate and was subsequently verified through ELISA and western blot analyses in larger patient cohorts. Specificity was established by comparing Sp17 autoantibody levels in SAPHO patients versus healthy controls, patients with systemic lupus erythematosus (SLE), and patients with rheumatoid arthritis (RA). The significantly higher levels in SAPHO patients demonstrated the biomarker's specificity. Further validation included correlation analyses with disease activity measures and response to treatment, confirming its utility as both a diagnostic and monitoring biomarker .
Sp17 autoantibody levels demonstrate significant positive correlations with bone metabolism markers in patients with active SAPHO syndrome. Research analysis shows that serum Sp17 autoantibody levels correlate positively with both osteocalcin (a bone-specific calcium-binding protein released during bone formation by osteoblasts) and β-crosslaps (β-CTx, the main fragment of type I collagen degradation by osteoclasts). These correlations suggest that Sp17 autoantibody levels are associated with both bone formation and resorption processes occurring in the osteolytic lesions characteristic of SAPHO syndrome. This relationship indicates that Sp17 autoantibody not only reflects inflammatory activity but also corresponds to underlying bone pathology, making it a particularly valuable biomarker for this osteoinflammatory condition .
Sp17 autoantibody levels demonstrate significant response patterns to therapeutic interventions, particularly pamidronate disodium treatment in SAPHO syndrome patients. In clinical studies, serum Sp17 autoantibody levels decreased continuously during pamidronate disodium treatment courses, correlating with clinical improvement. This decrease paralleled the reduction in Visual Analog Scale (VAS) pain scores, hsCRP, and ESR levels, confirming the alleviation of inflammation. Notably, Sp17 autoantibody showed greater sensitivity to treatment effects than bone metabolism markers like β-CTx and osteocalcin. While β-CTx showed a significant decrease after the first treatment cycle and osteocalcin declined after the second cycle, Sp17 autoantibody levels decreased continuously throughout the treatment period, demonstrating its superior utility for monitoring treatment efficacy in SAPHO syndrome .
Sp17 exhibits a specific tissue distribution pattern that provides insights into potential pathogenic mechanisms in SAPHO syndrome. Originally identified as a testis-specific protein expressed during sperm acrosome reaction, more recent research using RT-PCR has detected Sp17-1a mRNA in diverse tissues including adrenal glands, lymph nodes, skeletal muscle, spine, ovary, and adult testis. Additionally, esophageal Sp17-1a and Sp17-1b mRNAs have been detected in peripheral blood mononuclear cells (PBMCs), parathyroid gland, and synovium. This broad distribution in tissues affected by SAPHO syndrome suggests potential autoantigenic roles. Sp17 is recognized as a highly immunogenic protein, with autoantibodies previously detected in vasectomized men and patients with periampullary carcinoma. The targeting of Sp17 by the immune system in SAPHO patients may provide new insights into disease pathogenesis, suggesting novel immunological mechanisms underlying this complex syndrome .
Incorporating Sp17 autoantibody testing into diagnostic algorithms for SAPHO syndrome represents a promising approach to address the current diagnostic challenges. SAPHO syndrome is frequently underrecognized and misdiagnosed due to its variable clinical presentations and lack of specific markers. A potential diagnostic algorithm would position Sp17 autoantibody testing as a complementary tool to existing clinical criteria, particularly in cases with atypical presentations. When patients present with osteoarticular symptoms (bone pain, hyperostosis) with or without dermatological manifestations (pustulosis, acne), Sp17 autoantibody testing could provide objective evidence to support or refute a SAPHO diagnosis. The test would be particularly valuable in differentiating SAPHO from other inflammatory conditions with overlapping features, such as seronegative spondyloarthropathies or infectious osteomyelitis. Additionally, the correlation of Sp17 autoantibody levels with disease activity suggests its utility in a multi-parameter assessment approach, combining clinical evaluations with inflammatory markers (ESR, hsCRP) and bone metabolism indicators (β-CTx, osteocalcin) to provide comprehensive disease characterization .
Proper validation of Sp17 autoantibody as a SAPHO biomarker requires carefully selected control populations to establish specificity and clinical utility. Research protocols should include healthy controls (HC) matched for age and sex to establish baseline values in the general population. Additionally, disease controls are crucial for demonstrating specificity, particularly patients with other autoimmune conditions that might share pathogenic mechanisms with SAPHO syndrome. Studies have specifically included patients with systemic lupus erythematosus (SLE) and rheumatoid arthritis (RA) who fulfilled American College of Rheumatology (ACR) criteria but did not meet SAPHO criteria. These disease controls help differentiate SAPHO-specific autoantibody responses from general autoimmune dysregulation. For comprehensive validation, researchers should also consider including patients with isolated skin manifestations (e.g., palmoplantar pustulosis without bone involvement) and patients with other bone/joint inflammatory conditions to determine the biomarker's specificity to the full SAPHO syndrome rather than isolated components .
Developing robust Sp17 autoantibody assays requires addressing several critical experimental considerations. First, antigen preparation is paramount—using recombinant His-tagged Sp17 protein ensures consistency and specific epitope presentation. Researchers must verify protein purity and confirm native conformational epitopes are preserved. Second, assay standardization requires establishing consistent protocols for plate coating (0.2 μg/mL of antigen), serum dilution (1:300), and inclusion of appropriate controls (anti-His antibody as positive control, PBS as negative control). Third, technical validation should include determination of intra- and inter-assay coefficients of variation, linearity across the analytical measurement range, and limit of detection. Fourth, clinical validation necessitates establishing reference ranges in healthy populations and determining sensitivity and specificity using ROC curve analysis with defined patient cohorts. Finally, researchers should consider cross-reactivity testing against related proteins to confirm assay specificity, particularly given Sp17's presence in multiple tissue types .
Research into Sp17 autoantibodies presents several promising avenues for developing novel therapeutic approaches for SAPHO syndrome. First, understanding the mechanisms by which Sp17 becomes an autoantigen could reveal targetable immunological pathways specific to SAPHO pathogenesis. This might lead to more precise immunomodulatory therapies than current broad-spectrum treatments. Second, the correlation between Sp17 autoantibody levels and bone metabolism markers suggests potential osteoinflammatory pathways that could be targeted. Third, Sp17 autoantibody could serve as a companion biomarker for precision medicine approaches, helping to stratify SAPHO patients for specific treatments based on autoantibody levels or characteristics. For instance, patients with high Sp17 autoantibody levels might respond differently to bisphosphonates versus TNF-α inhibitors. Fourth, longitudinal studies tracking Sp17 autoantibody levels during different treatment regimens could reveal optimal therapeutic protocols. Finally, given that SAPHO patients often experience delayed diagnosis and treatment, Sp17 autoantibody-based screening could enable earlier intervention, potentially preventing irreversible bone changes and improving long-term outcomes .
Sp17 autoantibody shows considerable promise for differentiating SAPHO syndrome from related inflammatory and autoimmune conditions with overlapping clinical features. Current diagnostic challenges stem from SAPHO's varied manifestations and lack of pathognomonic features, leading to frequent misdiagnosis or diagnostic delay. Research suggests Sp17 autoantibody could serve as a discriminatory biomarker to distinguish SAPHO from conditions like seronegative spondyloarthropathies, inflammatory bowel disease-associated arthritis, psoriatic arthritis, and DISH (diffuse idiopathic skeletal hyperostosis). Comparative studies should systematically evaluate Sp17 autoantibody levels across these conditions to establish its discriminatory capacity. Additionally, investigating Sp17 autoantibody subtypes or epitope specificity might reveal SAPHO-specific patterns. Integrating Sp17 autoantibody testing with imaging findings (such as the characteristic "bull's head" scintigraphic sign) could enhance diagnostic accuracy. Future research should also explore whether Sp17 autoantibody can predict disease progression or differentiate SAPHO subsets with predominant cutaneous versus osteoarticular manifestations, potentially identifying patients who might benefit from distinct therapeutic approaches .