Immunogenetic HLA-DQ and IgG serological profiles in individuals with self-reported wheat/gluten sensitivity: a retrospective real-world evidence study - Summary - MDSpire

Immunogenetic HLA-DQ and IgG serological profiles in individuals with self-reported wheat/gluten sensitivity: a retrospective real-world evidence study

  • By

  • Andreina White

  • Julie Verzura

  • Mariana White

  • Carol Rodríguez

  • Mercedes White

  • Milaidi García Bravo

  • May 25, 2026

  • 0 min

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Objective:

To characterize the immunogenetic and serological profiles of a clinical cohort with self-reported wheat/gluten sensitivity (SRWGS) and analyze the frequency of HLA-DQ alleles and their association with specific IgG antibody reactivity, highlighting the significance for clinical management.

Key Findings:
  • 100% cumulative frequency of HLA-DQ susceptibility variants observed, indicating a potential genetic predisposition.
  • HLA-DQ1 (56%), DQ2 (54%), DQ3 (40%), and DQ8 (33%) were the prevalent variants, suggesting a diverse genetic landscape.
  • DQ8 and DQ3 were significant markers (p<0.001 and p=0.028 respectively), which may inform clinical assessments.
  • 68% of cases showed specific IgG reactivity with strong correlation to wheat-gluten (rs=0.887; p<0.001), indicating a robust immune response.
  • IgG cross-reactivity indicated a strong association with wheat/gluten (OR=88.2; 95% CI: 25.8–301.4; p<0.001), supporting the need for targeted dietary interventions.
Interpretation:

The findings suggest a consistent genetic background in symptomatic individuals that exceeds prevalence in the general Western population, indicating potential immune activation and the need for tailored clinical approaches.

Limitations:
  • Non-probabilistic convenience sampling may limit generalizability and introduce selection bias.
  • Retrospective design may introduce bias in data collection, particularly in self-reported symptoms.
Conclusion:

Characterizing the biological profiles of individuals with self-reported wheat/gluten sensitivity is crucial for advancing precision management and biomarker-informed interventions, and further research is needed to validate these findings.

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