Key result
CHIP mutations are linked to ~45% higher odds of microbleeds in AF, without predicting cognitive decline.
Why the study?
Does the presence of CHIP mutations increase the risk of silent brain lesions and cognitive decline in patients with atrial fibrillation?
Cohort (n=1,572)
Yes
Does the presence of CHIP mutations increase the risk of silent brain lesions and cognitive decline in patients with atrial fibrillation?
Odds Ratio: 1.45 (95% CI 1.09–1.93)
p-value: p=0.010
In patients with atrial fibrillation, CHIP mutations are associated with a higher burden of silent brain lesions such as microbleeds and white matter lesions, but they do not independently predict cognitive decline.
Background Clonal hematopoiesis of indeterminate potential (CHIP) has been implicated in various cardiovascular diseases. However, the association of CHIP with clinically silent brain lesions and cognitive function in patients with atrial fibrillation (AF) is unclear. Purpose This study investigated whether CHIP mutations are associated with prevalent and incident silent brain lesions and longitudinal neurocognitive performance in a prospective AF cohort. Methods We analyzed 1,572 participants from the Swiss-AF study with targeted sequencing for CHIP-related mutations, brain magnetic resonance imaging (MRI), and standardized neurocognitive testing. Deep sequencing was performed to screen the entire genes for CHIP mutations at baseline. Large noncortical or cortical infarcts (LNCCIs), small noncortical infarcts (SNCIs), microbleeds, and white matter lesions (WML) were assessed at baseline and after 2 years. Cognitive function was evaluated over an 8-year follow-up using the Montreal Cognitive Assessment (MoCA) and the Swiss-AF Cognitive Construct (CoCo) score. Results CHIP mutations were present in 342 (22%) patients, with DNMT3A (49.4%) and TET2 (28.3%) being the most frequent. Compared to non-CHIP carriers, those with CHIP mutations had a significantly higher prevalence of SNCIs (Non-CHIP: 19.9%, DNMT3A: 22.2%, TET2: 27%, other genes: 32.3%; Pχ²=0.017), microbleeds (Non-CHIP: 19.9%, DNMT3A: 23.2%, TET2: 33.8%, other genes: 32.7%; Pχ²=0.002), and WML (Non-CHIP: 50.4%, DNMT3A: 61.3%, TET2: 73%, other genes: 68.7%; Pχ²<0.001). Multivariable regression revealed that CHIP is associated with increased odds of microbleeds (odds ratio (OR) = 1.45, 95% CI = [1.09-1.93], P=0.010) and WML (OR = 1.56, 95% CI = [1.20-2.04], P=0.001). In particular, mutations other than DNMT3A/TET2 were associated with SNCI (OR = 1.63, 95% CI = [1.02-2.54], P=0.03), microbleeds (OR = 1.70, 95% CI = [1.07-2.65], P=0.021), and WML (OR = 1.70, 95% CI = [1.07-2.74], P=0.03). Over the 2-year follow-up, patients with non-DNMT3A/TET2 CHIP mutations were at increased risk for new LNCCI (OR = 3.21, 95% CI = [1.03-8.35], P=0.030) and microbleeds (OR = 2.08, 95% CI = [1.07-3.78], P=0.020). CHIP carriers had no significant accelerated decline in cognitive function after adjustment (MoCA: beta = -0.08, 95% CI = [-0.29-0.13], P=0.47; CoCo: beta = -0.01, 95% CI = [-0.04-0.01], P=0.39). Conclusions CHIP is associated with a greater burden of silent brain lesions, particularly among patients with non-DNMT3A/TET2 mutations, but does not independently predict cognitive decline in patients with AF.
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Meyre et al. (2025) conducted a cohort in atrial fibrillation (n=1,572). Clonal hematopoiesis of indeterminate potential (CHIP) mutations vs. Non-CHIP carriers was evaluated on Microbleeds (OR 1.45, 95% CI 1.09-1.93, p=0.010). CHIP mutations were associated with increased odds of microbleeds (OR 1.45; 95% CI 1.09-1.93; P=0.010) and white matter lesions, but did not independently predict cognitive decline in AF patients.
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