Changes in emerging cardiac biomarkers after an intensive lifestyle intervention.

The present study evaluated the changes in emerging cardiac biomarkers, cognitive function, and social support measures after a comprehensive lifestyle intervention that included a low-fat, whole-foods, plant-based diet, exercise, stress management, and group support meetings. We conducted a prospective cohort study of 131 participants (59.2% women and 43.1% with diabetes mellitus), 56 with coronary heart disease (CHD) (37.5% women and 27.3% diabetes mellitus), and 75 at high risk with ≥3 CHD risk factors and/or diabetes mellitus (76% women and 54.7% diabetes mellitus). The measurements were taken at baseline and 3 months after the intervention. Improvement in all targeted health behaviors was seen in both high-risk and CHD groups (all p <0.001) at 3 months, with reductions in body mass index, systolic and diastolic blood pressure, waist/hip ratio, C-reactive protein, insulin, low-density lipoprotein, high-density and total cholesterol, apolipoproteins A1 and B (all p <0.009) were observed. Nuclear magnetic resonance spectroscopy analysis of lipoprotein subclass particle concentrations and diameters showed a reduction in large very-low-density lipoprotein particles, size of the very-low-density lipoprotein particles, total low-density lipoprotein particles; total, large, and small high-density lipoprotein particles (all p <0.009) and small very-low-density lipoprotein particles (p <0.02). Increases in fibrinogen (p <0.03) and B-type natriuretic peptide (p <0.001) were seen, and these changes correlated inversely with the changes in the body mass index. The observed increase in B-type natriuretic peptide can be explained by the metabolic changes related to adipose tissue lipolysis. The quality of life, cognitive functioning, and social support measures significantly improved. In conclusion, lifestyle changes can be followed by favorable changes in traditional and emerging coronary heart disease biomarkers, quality of life, social support, and cognitive function among those with, or at high risk, of CHD.

Relation of B-type natriuretic peptide levels to body mass index after comprehensive lifestyle changes.

Cross-sectional studies have reported inverse associations of B-type natriuretic peptide (BNP) with the body mass index (BMI). We evaluated whether changes in the BMI are associated with changes in BNP. A nested prospective cohort study of a lifestyle intervention (low-fat, whole-foods diet, exercise, stress management, and social support) was conducted. BNP, BMI, and other biomarkers were measured at baseline and 3 months. A total of 131 subjects, 56 with coronary heart disease (CHD) and 75 at high risk, with > or =3 CHD risk factors and/or diabetes mellitus, were enrolled. At 3 months, the mean BMI had decreased (34.4 to 31.7 kg/m(2), p <0.001), BNP had increased (median 18 to 28 pg/ml, p <0.001), and low-density lipoprotein, C-reactive protein, apolipoprotein B (all p <0.002), and angina frequency (p = 0.017) and severity (p = 0.052) had decreased. The subjects' physical limitations had decreased and their physical functioning had improved (all p <0.001). The percentage of change in BNP was inversely associated with the percentage of change in insulin (r = -0.339, p = 0.005, n = 63 nondiabetics). It was also inversely associated with the percentage of change in BMI (r = -0.28, p = 0.002, n = 116), and this association remained significant (p = 0.029) in multiple regression analyses controlling for age, gender, CHD, diabetes mellitus, percentage of change in lifestyle index, and beta-blocker use. The metabolic changes related to adipose tissue lipolysis could explain these findings. In conclusion, BNP increased in subjects experiencing weight loss while following a lifestyle intervention, and angina pectoris, physical limitations, and other CHD risk factors decreased. Therefore, in this context, increasing BNP might not indicate worsening disease or a worsening prognosis. Thus, the proposed use of BNP in monitoring disease progression should take into account changes in the BMI during the same period.