Correlations Between Immuno-Inflammatory Biomarkers and Hematologic Indices Stratified by Immunologic SNP Genotypes

Area of Science:

• Genetics and immunology
• Cardiometabolic disease research
• Hematology

Background:

• Chronic low-grade inflammation is a key driver of cardiometabolic risk.
• Functional single nucleotide polymorphisms (SNPs) may modulate individual cytokine and hematologic phenotypes.
• Investigating genotype-specific relationships between inflammatory biomarkers and blood indices is crucial for understanding individual risk.

Purpose of the Study:

• To investigate genotype-specific relationships between circulating immuno-inflammatory biomarkers and routine blood indices in apparently healthy adults.
• To explore how IL1RN rs1149222 and TNF-proximal rs2071645 affect specific biomarkers and hematologic parameters.
• To determine if these genetic variants can refine early risk stratification.

Main Methods:

• Cross-sectional study of 155 healthy adult volunteers.
• Genotyping for IL1RN rs1149222 and TNF-proximal rs2071645.
• Quantification of serum IL-1β, TNF-α, oxidized LDL (oxLDL), and C-reactive protein (CRP) via ELISA.
• Recording of complete blood counts.
• Statistical analysis using ANOVA, Kruskal-Wallis, Spearman correlations, and adjusted linear models.

Main Results:

• IL1RN rs1149222 significantly affected IL-1β and oxLDL levels, and was associated with a modest decrease in erythrocyte count and hemoglobin in heterozygotes.
• TNF-proximal rs2071645 strongly increased TNF-α and moderately increased oxLDL, without affecting red-cell indices or CRP.
• No genotype dependence was observed for leukocyte counts or differentials.
• No epistatic interaction was found between the two loci.

Conclusions:

• IL1RN rs1149222 and TNF-related rs2071645 generate distinct inflammatory profiles: an IL-1β-oxidative axis with mild erythropoietic suppression and a TNF-lipid axis without hematologic changes.
• Integrating targeted genotyping with hematologic ratios may improve early risk stratification in healthy populations.
• Tailored preventive strategies can be guided by these genetic and hematologic insights.