Association of Homocysteine Levels with Subclinical Coronary Atherosclerosis in Asymptomatic Subjects

BACKGROUND: Progression of atherosclerotic plaques is known to be correlated with elevated circulating homocysteine (Hcy). However, whether the level of Hcy is related with coronary atherosclerosis in the subclinical state is unclear. Therefore, we performed this study to investigate the relationship between blood Hcy levels and subclinical atherosclerosis in asymptomatic self-referred subjects. METHODS: We retrospectively enrolled 2,968 self-referred asymptomatic subjects (1,374 men, 1,594 women) who had undergone both coronary CT angiography (CCTA) and coronary artery calcium scoring. The relationships between atherosclerosis, Hcy, and other clinical factors were assessed. RESULTS: Higher levels of Hcy were related with age, male gender, body mass index (BMI), waist circumference, blood pressure, high density lipoprotein (HDL), triglyceride, blood glucose, HbA1c, hsCRP, and coronary artery calcium score (CACS). Coronary plaque was more frequently found in higher Hcy quartile groups (21.3%, 28.8%, 34.4%, and 34.3%, P50%) was also more frequent in higher Hcy quartile groups (1.8%, 5.4%, 5.0%, and 6.6%, P400) than the first quartile group. CONCLUSIONS: Blood Hcy levels were associated with an increased risk of the presence and extent of subclinical atherosclerosis in asymptomatic subjects.

Association of Metabolic Factors and Prostate-Specific Antigen Levels with Prostate Volume in Medical Check-ups

BACKGROUND: Baseline prostate volume (PV) is related with the progression of benign prostatic hyperplasia (BPH). Although recent studies have reported the relationship between BPH and metabolic syndrome, the findings are inconsistent. Thus, this study was performed to investigate the association of PV with metabolic factors and prostate-specific antigen (PSA) in individuals with normal PV and clarify the factors associated with benign prostate enlargement (BPE), including PSA. METHODS: We selected 3,915 health examinees aged >40 yr with a PSA level or =30 mL). We investigated the association of PV with metabolic factors and PSA using multiple linear regression analysis, and clarified the factors associated with BPE using logistic regression analysis. RESULTS: The factors associated with PV were PSA, age, and waist circumference in individuals with normal PV. The factors associated with BPE were age, body mass index (BMI), and PSA. The logistic regression analysis adjusted for age and confounding factors showed that individuals with a BMI of 23-24.9 kg/m2, 25-29.9 kg/m2, and > or =30 kg/m2 had higher odds ratios of 1.580 (95% confidence interval, 1.171-2.131; P=0.003), 1.767 (1.332-2.344; P<0.001), and 2.024 (1.042-3.933; P=0.038), respectively, for BPE than individual with a BMI <23 kg/m2. CONCLUSIONS: Abdominal obesity was significantly associated with PV in individuals with normal PV, whereas obesity was an associated metabolic factor of BPE. PSA level was positively associated with PV.