Association of S100B 3'UTR polymorphism with risk of chronic heart failure in a Chinese Han population

To study the correlation between single nucleotide polymorphism (SNP) of the 3' untranslated region (UTR) rs9722 locus in S100B and the risk of chronic heart failure (CHF), plasma levels of S100B protein as well as has-miR-340-3p in a Chinese Han population.A total of 215 patients with CHF (124 ischemic cardiomyopathy (ICM) and 91 dilated cardiomyopathy (DCM)) and 215 healthy controls were recruited to analyze the S100B rs9722 genotype by Sanger sequencing. The levels of hsa-miR-340-3p in the plasma were detected by RT-PCR, and S100B levels were detected by ELISA.The risk of CHF in S100B rs9722 locus T allele carriers was 4.24 times higher than that in those with the C allele (95% CI: 2.84-6.33, P < .001). The association of S100B rs9722 locus SNP with ICM and DCM risk was not affected by factors such as age, gender, and body mass index (BMI). The levels of plasma S100B and hsa-miR-340-3p in patients with ICM and DCM were significantly higher than those in the control group (P < .001). There was no significant difference in plasma S100B levels between patients with ICM and DCM (P > .05). Among ICM, DCM, and control subjects, TT genotype carriers had the highest levels of plasma S100B and hsa-miR-340-3p, followed by the CT genotype and TT genotype, and the difference was statistically significant (P < .05). Plasma hsa-miR-340-3p levels were positively correlated with S100B levels in the control subjects and patients with ICM and DCM.The S100B rs9722 locus SNP is associated with CHF risk in a Chinese Han population.

Cardiorespiratory fitness, body mass index and heart failure incidence

AIMS

Obesity is associated with increased risk of heart failure (HF). This risk may be modulated by improved cardiorespiratory fitness (CRF) as CRF is associated with favourable health outcomes. Thus, we assessed the interaction between body mass index (BMI), CRF and HF.

METHODS AND RESULTS

Cardiorespiratory fitness and BMI were assessed in 20 254 US male veterans (mean age 58.0 ± 11.3 years), who completed a maximal exercise treadmill test between 1987 and 2017. All had no evidence of ischaemia or HF prior to the exercise test. They were classified based on age-stratified quartiles of peak metabolic equivalents (METs) achieved as: least-fit (4.5 ± 1.3), low-fit (6.7 ± 1.3), moderate-fit (8.1 ± 1.1), and high-fit (11.2 ± 2.4); and according to BMI as normal weight (18.5-24.9 kg/m² ), overweight (25-29.9 kg/m² ), and obese (≥ 30.0 kg/m² ). During a median follow-up of 13.4 years, there were 2979 HF events (10.8 events/1000 person-years). HF risk was significantly higher in the obese category [hazard ratio (HR) 1.22, 95% confidence interval (CI) 1.10-1.36; P < 0.001], but was no longer significant after further adjustment for METs. When compared to the least-fit, HF risk declined progressively with increased CRF within all BMI categories. The risk was 63% (HR 0.37, 95% CI 0.30-0.47; P < 0.001), 66% (HR 0.37, 95% CI 0.28-0.40; P < 0.001), and 73% (HR 0.27, 95% CI 0.22-0.34; P < 0.001) lower for high-fit individuals within normal weight, overweight and obese categories, respectively.

CONCLUSIONS

Increased CRF was associated with progressively lower HF risk regardless of BMI, suggesting that the elevated HF risk associated with obesity may be modulated by improved CRF.

Pre- and post-diagnosis body mass index and heart failure mortality: a dose-response meta-analysis of observational studies reveals greater risk of being underweight than being overweight

OBJECTIVE

To investigate the dose-response association between pre- and post-diagnosis body mass index (BMI) and heart failure (HF) mortality.

METHODS

Eligible observational studies were searched in databases, up to November 2017. We used random-effects generalized least squares spline models for trend estimation to derive pooled BMI unit-HF mortality relationship.

RESULTS

Sixteen cohort studies (six pre-diagnosis and 10 post-diagnosis BMI) were included, comprising a total of 258,379 subjects with 13,201 deaths due to HF. A nonlinear U-shaped association was found between pre-diagnosis BMI and the risk of HF mortality, with a greater risk from being at the lowest extreme, rather than being at the top category. The combined hazard ratio of HF mortality among the highest compared to the lowest category of pre-diagnosis BMI was 1.24 (0.65-2.37, I²  = 90.7%). No significant nonlinear association was found between post-diagnosis BMI and HF mortality as well as when comparing the highest to the lowest category of BMI.

CONCLUSIONS

This meta-analysis showed those with both high and low pre-diagnosis BMI had higher risk for HF mortality, with a greater risk from being too underweight, rather than being obese. No significant association was found between post-diagnosis BMI and the risk of HF mortality. Further detailed investigations are needed to accurately examine the potential mechanistic links between BMI and health outcomes.