Cardiovascular

CYBA Gene Polymorphisms, Lipid Parameters and Atherogenic Indices: A Cohort Study of Healthy Individuals Without Prior Lipid-Lowering Therapy.

TL;DR

CYBA variants influence the systemic lipid profile and lipid-derived atherogenic markers in individuals untreated with lipid-lowering drugs, potentially through modulation of CYBA expression.

Key Findings

Statistically significant differences in lipid parameters were found among genotypes of three of the seven CYBA SNPs studied: rs7195830, rs1049255, and rs13306296.

  • The study included 220 blood donors who had never received lipid-lowering therapy.
  • Seven CYBA SNPs were analyzed: rs7195830, rs1049255, rs4673, rs13306296, rs72811418, rs16966671, and rs9932581.
  • Outcomes were total cholesterol, HDL-C, LDL-C, triglycerides, and six lipid-derived atherogenic indices.
  • Genotyping used PCR-RFLP and TaqMan PCR; serum lipids were measured by enzymatic colorimetric methods.

The G allele/GG genotype of rs13306296 was associated with the least favorable lipid profile across multiple parameters.

  • The abstract states this association held 'across multiple parameters'.
  • The same allele showed preferential binding of thirteen transcription factors in silico.
  • It was also linked to increased CYBA expression in aorta and heart tissues.

In silico analyses indicated allele-specific binding of transcription factors for rs1049255 and rs13306296.

  • Allele-specific binding (ASB) of transcription factors was assessed for all seven SNPs.
  • For rs13306296, the G allele showed preferential binding of thirteen transcription factors.

Genotype-dependent effects on CYBA expression in cardiovascular tissues were indicated for rs13306296 and rs4673.

  • Expression analyses were performed in silico for cardiovascular tissues.
  • The rs13306296 G allele/GG genotype was associated with increased CYBA expression in aorta and heart tissues.

The authors conclude that CYBA variants influence systemic lipid profiles and atherogenic indices in individuals not treated with lipid-lowering drugs, possibly via modulation of CYBA expression.

  • The cohort was free of prior lipid-lowering therapy, which avoids drug confounding of lipid measures.
  • CYBA encodes the p22phox subunit of vascular NADPH oxidases.
  • The mechanism is suggested by in silico data and was not directly tested.

What This Means

This study looked at whether small, common differences in a gene called CYBA relate to blood cholesterol and fat levels. CYBA makes part of an enzyme involved in producing reactive oxygen molecules in blood vessels, and earlier work linked its variants to diseases involving clogged arteries. The researchers tested seven variants in 220 blood donors who had never taken cholesterol-lowering medication, and compared their total cholesterol, HDL ("good") cholesterol, LDL ("bad") cholesterol, triglycerides, and six calculated indices of atherosclerosis risk. Three of the seven variants (rs7195830, rs1049255, and rs13306296) were linked to differences in lipid measures. The clearest signal was for rs13306296: people carrying the G version, especially two copies (GG), tended to have the least favorable lipid profile across several measures. Computer-based analyses suggested this version attracts more regulatory proteins (transcription factors) and is associated with higher CYBA activity in heart and aorta tissue, which could be one way the gene influences blood lipids. This research suggests that genetic variation in CYBA may contribute to differences in blood lipid profiles and cardiovascular risk markers, even in people not taking lipid-lowering drugs. The sample was fairly small, and the mechanism comes from computer predictions rather than lab experiments, so the findings would need confirmation in larger studies before any practical use.

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Citation

Niemiec P, Nowak T, Wrona J, Iwanicka J, Iwanicki T, Jarosz A, et al.. (2026). CYBA Gene Polymorphisms, Lipid Parameters and Atherogenic Indices: A Cohort Study of Healthy Individuals Without Prior Lipid-Lowering Therapy.. International journal of molecular sciences. https://doi.org/10.3390/ijms27208975