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Kaoru Ito

Publications and source records attributed to Kaoru Ito.

2 recordsLinked to original sources

Histological Determinants of Atrial Dysfunction in Patients With Atrial Fibrillation.

BACKGROUND: Atrial fibrillation (AF) is associated with diverse histological abnormalities, but their contributions to atrial dysfunction and functional recovery remain unclear. METHODS: In a discovery cohort of 375 patients with nonvalvular AF undergoing catheter ablation, atrial biopsy samples were quantitatively analyzed for fibrosis, intercellular space expansion, myofibrillar loss, myocardial nuclear density, and amyloid deposition. Left atrial reservoir strain (LASr) was assessed as a measure of atrial function during sinus rhythm (Group 1) or AF (Group 2) at the time of echocardiography. Functional recovery was defined as the change in LASr 12 months after ablation. Findings were validated in an independent cohort of 191 patients with AF. A subset of samples was additionally analyzed for DNA damage markers, poly(ADP-ribose), and phosphorylated histone H2A.X. RESULTS: LASr improved significantly after ablation in Group 2 but not in Group 1. Multivariable analyses identified greater fibrosis, reduced myocardial nuclear density, and advanced amyloid deposition as significant determinants of impaired atrial function in both groups and of limited postablation functional recovery in Group 2 (all P<0.01). Amyloid deposition was also significantly associated with adverse clinical outcomes. Decision-tree models incorporating LASr accurately identified advanced amyloid deposition in both cohorts (accuracy, 94%-96%). DNA damage markers were inversely associated with myocardial nuclear density and positively associated with cardiomyocyte hypertrophy. CONCLUSIONS: Fibrosis, DNA damage-associated reduction in myocardial nuclear density, and advanced atrial amyloidosis are key determinants of atrial dysfunction and impaired postablation functional recovery in patients with AF. LASr enables noninvasive identification of advanced atrial amyloidosis.

Humans

Multi-ancestry genetic architecture of heart failure subtypes.

Heart failure (HF) affects 6.7 million people in the US and includes two major subtypes, HF with reduced ejection fraction (HFrEF) and HF with preserved ejection fraction (HFpEF), with distinct genetic architectures. We meta-analyze genome-wide association studies (GWAS) of 38,781 HFrEF cases, 38,163 HFpEF cases, and 526,135 controls across European, African, Hispanic, and Asian ancestries using the Million Veteran Program and Vanderbilt University DNA Databank (BioVU). We identify 46 genome-wide significant loci for HFrEF (9 novel) and 3 loci for HFpEF (1 novel). Four HFrEF loci are detected in African ancestry participants near CD36, SPI1, TRIM48, and SPNS3, with lead SNPs showing low risk-allele frequencies in European populations. In the all-cause HF meta-analysis (200,070 cases, 2,076,466 controls), we identify 136 loci (12 novel). Gene-based tests, tissue enrichment, transcriptome-wide association, and fine-mapping implicate vascular, metabolic, and TGF-&#x3b2;/Smad signaling pathways and nominate candidate causal genes, clarifying shared and subtype-specific risk across ancestries.

Humans