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Individual and population-level variability in HLA-DR associated immunogenicity risk of biologics used for the treatment of rheumatoid arthritis. | LitMetric

AI Article Synopsis

  • Future immunogenicity assessments should consider regional HLA allele frequencies, as current methods may not accurately reflect risk patterns for specific populations.
  • Analysis shows that the likelihood of anti-therapeutic responses to Rheumatoid Arthritis treatments differs significantly between Caucasian and Japanese populations.
  • Improved understanding of immunogenic risks at both population and individual levels could lead to more personalized and effective RA treatments based on HLA backgrounds.

Article Abstract

Hypothesis: While conventional in silico immunogenicity risk assessments focus on measuring immunogenicity based on the potential of therapeutic proteins to be processed and presented by a global population-wide set of human leukocyte antigen (HLA) alleles to T cells, future refinements might adjust for HLA allele frequencies in different geographic regions or populations, as well for as individuals in those populations. Adjustment by HLA allele distribution may reveal risk patterns that are specific to population groups or individuals, which current methods that rely on global-population HLA prevalence may obscure.

Key Findings: This analysis uses HLA frequency-weighted binding predictions to define immunogenicity risk for global and sub-global populations. A comparison of assessments tuned for North American/European versus Japanese/Asian populations suggests that the potential for anti-therapeutic responses (anti-therapeutic antibodies or ATA) for several commonly prescribed Rheumatoid Arthritis (RA) therapeutic biologics may differ, significantly, between the Caucasian and Japanese populations. This appears to align with reports of differing product-related immunogenicity that is observed in different populations.

Relevance To Clinical Practice: Further definition of population-level (regional) and individual patient-specific immunogenic risk profiles may enable prescription of the RA therapeutic with the highest probability of success to each patient, depending on their population of origin and/or their individual HLA background. Furthermore, HLA-specific immunogenicity outcomes data are limited, thus there is a need to expand HLA-association studies that examine the relationship between HLA haplotype and ATA in the clinic.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11134572PMC
http://dx.doi.org/10.3389/fimmu.2024.1377911DOI Listing

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