Cancer cachexia is a complex multifactorial syndrome marked by a continuous depletion of skeletal muscle mass associated, in some cases, with a reduction in fat mass. It is irreversible by nutritional support alone and affects up to 74% of patients with cancer—dependent on the underlying type of cancer—and is associated with physical function impairment, reduced response to cancer-related therapy, and higher mortality. Organs, like muscle, adipose tissue, and liver, play an important role in the progression of cancer cachexia by exacerbating the pro- and anti-inflammatory response initially activated by the tumor and the immune system of the host. Moreover, this metabolic dysfunction is produced by alterations in glucose, lipids, and protein metabolism that, when maintained chronically, may lead to the loss of skeletal muscle and adipose tissue. Although a couple of drugs have yielded positive results in increasing lean body mass with limited impact on physical function, a single therapy has not lead to effective treatment of this condition. Therefore, a multimodal intervention, including pharmacological agents, nutritional support, and physical exercise, may be a reasonable approach for future studies to better understand and prevent the wasting of body compartments in patients with cancer cachexia.

Aims The definition of sarcopenia based on appendicular lean mass/height (2) (ALM/height (2)) is often used, although it can underestimate the prevalence of sarcopenia in overweight/obese patients with heart failure. Therefore, new methods have been proposed to overcome this limitation. We aimed to evaluate the prevalence of sarcopenia by three methods and compare body composition in this population. Methods and results We enrolled 168 male patients with heart failure (left ventricular ejection fraction <40%). Sixty‐six patients (39.3%) were identified with sarcopenia by at least one method. The lower 20th percentile defined as the cut‐off point for sarcopenia was 7.03 kg/m2, −2.32 and 0.76 for Baumgartner's (20.8%), Newman's (21.4%), and Studenski's methods (21.4%), respectively. Patients with body mass index (BMI) <25 kg/m2 were more likely to be identified by Baumgartner's than Studenski's method (P < 0.001). However, in patients with BMI ≥ 25 kg/m2, Studenski's and Newman's methods were more likely to detect sarcopenia than Baumgartner's method (both P < 0.005). Patients were further divided into three subgroups: (i) patients classified in all indexes (n = 8), (ii) patients classified in Baumgartner's (sarcopenic; n = 27), and (iii) patients classified in both Newman's and Studenski's methods (sarcopenic obesity; n = 31). Comparing body composition among groups, all sarcopenic groups presented lower total lean mass compared with non‐sarcopenic patients, whereas sarcopenic obese patients had higher total lean mass than lean sarcopenic patients. Conclusions Our results demonstrate that the prevalence of sarcopenia in overweight/obese patients is similar to lean sarcopenic patients when other methods are considered. In patients with higher BMI, Studenski's method seems to be more feasible to detect sarcopenia.

Background Resting sympathetic hyperactivity and impaired parasympathetic reactivation after exercise have been described in patients with heart failure (HF). However, the association of these autonomic changes in patients with HF and sarcopenia is unknown. Objective The aim of this study was to evaluate the impact of autonomic modulation on sarcopenia in male patients with HF. Methods We enrolled 116 male patients with HF and left ventricular ejection fraction < 40%. All patients underwent a maximal cardiopulmonary exercise testing. Maximal heart rate was recorded and delta heart rate recovery (∆HRR) was assessed at 1 st and 2 nd minutes after exercise. Muscle sympathetic nerve activity (MSNA) was recorded by microneurography. Dual-energy X-ray absorptiometry was used to measure body composition and sarcopenia was defined by the sum of appendicular lean muscle mass (ALM) divided by height in meters squared and handgrip strength. Results Sarcopenia was identified in 33 patients (28%). Patients with sarcopenia had higher MSNA than those without (47 [41-52] vs. 40 [34-48] bursts/min, p = 0.028). Sarcopenic patients showed lower ∆HRR at 1 st (15 [10-21] vs. 22 [16-30] beats/min, p < 0.001) and 2 nd min (25 [19-39] vs. 35 [24-48] beats/min, p = 0.017) than non-sarcopenic. There was a positive correlation between ALM and ∆HRR at 1 st (r = 0.26, p = 0.008) and 2 nd min (r = 0.25, p = 0.012). We observed a negative correlation between ALM and MSNA (r = -0.29, p = 0.003). Conclusion Sympatho-vagal imbalance seems to be associated with sarcopenia in male patients with HF. These results highlight the importance of a therapeutic approach in patients with muscle wasting and increased peripheral sympathetic outflow.

No abstract

BackgroundTestosterone deficiency in patients with heart failure (HF) is associated with decreased exercise capacity and mortality; however, its impact on hospital readmission rate is uncertain. Furthermore, the relationship between testosterone deficiency and sympathetic activation is unknown.ObjectiveWe investigated the role of testosterone level on hospital readmission and mortality rates as well as sympathetic nerve activity in patients with HF.MethodsTotal testosterone (TT) and free testosterone (FT) were measured in 110 hospitalized male patients with a left ventricular ejection fraction < 45% and New York Heart Association classification IV. The patients were placed into low testosterone (LT; n = 66) and normal testosterone (NT; n = 44) groups. Hypogonadism was defined as TT < 300 ng/dL and FT < 131 pmol/L. Muscle sympathetic nerve activity (MSNA) was recorded by microneurography in a subpopulation of 27 patients.ResultsLength of hospital stay was longer in the LT group compared to in the NT group (37 ± 4 vs. 25 ± 4 days; p = 0.008). Similarly, the cumulative hazard of readmission within 1 year was greater in the LT group compared to in the NT group (44% vs. 22%, p = 0.001). In the single-predictor analysis, TT (hazard ratio [HR], 2.77; 95% confidence interval [CI], 1.58–4.85; p = 0.02) predicted hospital readmission within 90 days. In addition, TT (HR, 4.65; 95% CI, 2.67–8.10; p = 0.009) and readmission within 90 days (HR, 3.27; 95% CI, 1.23–8.69; p = 0.02) predicted increased mortality. Neurohumoral activation, as estimated by MSNA, was significantly higher in the LT group compared to in the NT group (65 ± 3 vs. 51 ± 4 bursts/100 heart beats; p < 0.001).ConclusionThese results support the concept that LT is an independent risk factor for hospital readmission within 90 days and increased mortality in patients with HF. Furthermore, increased MSNA was observed in patients with LT.

No abstract

Background and aims: Anabolic androgenic steroids (AAS) have been associated with coronary artery disease (CAD). AAS abuse leads to a remarkable decrease in high-density lipoprotein (HDL) plasma concentration, which could be a key factor in the atherosclerotic process. Moreover, not only the concentration of HDL, but also its functionality, plays a pivotal role in CAD. We tested the functionality of HDL by cholesterol efflux and antioxidant capacity. We also evaluated the prevalence of CAD in AAS users. Methods: Twenty strength-trained AAS users (AASU) age 29 ± 5 yr, 20 age-matched strength-trained AAS nonusers (AASNU), and 10 sedentary controls (SC) were enrolled in this cross-sectional study. Functionality of HDL was evaluated by 14 C-cholesterol efflux and the ability of HDL in inhibiting LDL oxidation. Coronary artery was evaluated with coronary computed tomography angiography. Results: Cholesterol efflux was lower in AASU compared with AASNU and SC (20 vs. 23 vs. 24%, respectively, p < 0.001). However, the lag time for LDL oxidation was higher in AASU compared with AASNU and SC (41 vs 13 vs 11 min, respectively, p < 0.001). We found at least 2 coronary arteries with plaques in 25% of AASU. None of the AASNU and SC had plaques. The time of AAS use was negatively associated with cholesterol efflux. Conclusions: This study indicates that AAS abuse impairs the cholesterol efflux mediated by HDL. Long-term AAS use seems to be correlated with lower cholesterol efflux and early subclinical CAD in this population.

Disturbed shear rate (SR), characterized by increased retrograde and oscillatory SR in the brachial artery, is associated with inflammation, atherosclerosis, endothelial dysfunction, and sympathetic hyperactivity. Young subjects do not have disturbed SR; however, elderly subjects do, which seems to be associated with sympathetic hyperactivity. Anabolic androgenic steroids (AAS) abuse in young is associated with increased muscle sympathetic nerve activity (MSNA). We hypothesized that AAS users might have disturbed SR. We tested the association between retrograde and oscillatory SR with MSNA. In addition, we measured the high-sensitivity C-reactive protein (hs-CRP). We evaluated 10 male AAS users, age 27 ± 4 years, and 10 agematched AAS nonusers, age 29 ± 5 years. At rest, retrograde and oscillatory SR were evaluated by Doppler ultrasound, MSNA was measured with microneurography, and hs-CRP was measured in blood sample. Flow-mediated dilation (FMD) was also assessed. AAS users had higher retrograde SR (24.42 ± 17.25 vs 9.15 ± 6.62 s −1 , P = 0.01), oscillatory SR (0.22 ± 0.13 vs 0.09 ± 0.07 au P = 0.01), and MSNA (42 ± 9 vs 32 ± 4 bursts/100 heart beats, P = 0.018) than nonusers. MSNA (bursts/100 heart beats) was correlated with retrograde SR (r = 0.50, P = 0.050) and oscillatory SR (r = 0.51, P = 0.042). AAS users had higher hs-CRP [1.17 (0.44-3.63) vs 0.29 (0.17-0.70) mg/L, P = 0.015] and decreased FMD (6.42 ± 2.07 vs 8.28% ± 1.53%, P = 0.035) than nonusers. In conclusion, AAS abuse is associated with retrograde and oscillatory SR which were associated with augmented sympathetic outflow. In addition, AAS seems to lead to inflammation characterized by increased hs-CRP. These alterations may have the potential of increasing the early risk of atherosclerotic disease in young AAS users. K E Y W O R D S anabolic steroid, muscle sympathetic nervous activity, retrograde shear rate [Correction added on 7 December 2018, after first online publication: The panel A in figure 1 has been updated.]