Relation between change in exercise capacity and change in blood amino acids in patients with chronic heart failure

Effectiveness of Nutritional Guidance Focusing on Leucine Intake During Cardiac Rehabilitation Maintenance

Objective

Due to the lack of information on the effects of nutritional guidance focused on leucine intake in patients undergoing maintenance cardiac rehabilitation, this study investigated on plasma leucine concentrations, lean body mass, and muscle strength.

Methods

Nutritional guidance, focused on leucine (intervention group) or general nutritional guidance (control group), was provided for six months to patients participating in cardiac rehabilitation. Body composition, grip strength, hematological test results, and diet of both groups were compared before and after the intervention.

Results

Seven patients in the intervention group (53.2 ± 18.2 years) and 7 patients in the control group (58.6 ± 15.3 years) were included. Dietary survey results showed that the six-month intervention significantly (p < 0.05) increased protein intake and estimated leucine intake only in the intervention group. There was no significant difference in the rate of change in plasma leucine concentration between the two groups. The rate of change in lean body mass was significantly higher in the intervention group compared to the control group (p = 0.035). The rate of change in plasma leucine concentration and that in lean body mass was positively correlated only in the intervention group (r = 0.777, p = 0.040), and the rate of change in plasma leucine concentration was also positively correlated with the rate of change in grip strength (ρ = 0.857, p = 0.014).

Conclusions

In the patients undergoing maintenance cardiac rehabilitation, increased plasma leucine concentration by nutritional guidance focused on leucine increased lean body mass without any increasing the training load.

Differences in the serum metabolic profile to identify potential biomarkers for cyanotic versus acyanotic heart disease

BACKGROUND

Growth retardation, malnutrition, and failure to thrive are some of the consequences associated with congenital heart diseases. Several metabolic factors such as hypoxia, anoxia, and several genetic factors are believed to alter the energetics of the heart. Timely diagnosis and patient management is one of the major challenges faced by the clinicians in understanding the disease and provide better treatment options. Metabolic profiling has shown to be potential diagnostic tool to understand the disease.

OBJECTIVE

The present experiment was designed as a single center observational pilot study to classify and create diagnostic metabolic signatures associated with the energetics of congenital heart disease in cyanotic and acyanotic groups.

METHODS

Metabolic sera profiles were obtained from 35 patients with cyanotic congenital heart disease (TOF) and 23 patients with acyanotic congenital heart disease (ASD and VSD) using high resolution 1D ¹H NMR spectra. Univariate and multivariate statistical analysis were performed to classify particular metabolic disorders associated with cyanotic and acyanotic heart disease.

RESULTS

The results show dysregulations in several metabolites in cyanotic CHD patients versus acyanotic CHD patients. The discriminatory metabolites were further analyzed with area under receiver operating characteristic (AUROC) curve and identified four metabolic entities (i.e. mannose, hydroxyacetone, myoinositol, and creatinine) which could differentiate cyanotic CHDs from acyanotic CHDs with higher specificity.

CONCLUSION

An untargeted metabolic approach proved to be helpful for the detection and distinction of disease-causing metabolites in cyanotic patients from acyanotic ones and can be useful for designing better and personalized treatment protocol.

A metabolomic study for chronic heart failure patients based on a dried blood spot mass spectrometry approach

Objective: a dried blood spot (DBS) method integrated with direct infusion mass spectrometry (MS) focused on a metabolomic analysis was applied to detect and compare the difference of metabolites between the heart failure (HF) patients and non-HF patients in order to facilitate the early detection of heart failures, provide targeted intervention and offer prognostic insights. Methods: the method we used was an untargeted metabolic approach. The dry blood spot mass spectrometry (DBS) was used to analyze 23 types of amino acids and 26 types of carnitine in blood samples. In the current study, 49 metabolites were selected to establish the PLS-DA model to compare the differences between the 117 HF patients and 118 non-HF patients, which inclined to detect the difference between the two groups. Multiple algorithms were run for selecting different metabolites as potential biomarkers. Ten-fold cross validation method was used to verify and evaluate the selected potential biomarkers. Results: through significant analysis of the microarrays (SAM) and analysis of 9 parameters, 8 metabolites showed significant discrepancies between the HF and non-HF groups. Among these metabolites, the levels of 5 metabolites were increased, and the other 3 metabolites were decreased in the HF group compared with the non-HF group. However, 7 metabolites including Asn, C0, C14, C4DC, C5-OH, C6 and Glu were selected to distinguish the HF group from the non-HF group with specificity and sensitivity of 0.8475 and 0.8974, respectively. Conclusion: metabolomic study for chronic heart failure (CHF) patients based on the dried blood spot mass spectrometry approach would be beneficial to understand the metabolic pathway of HF, and probably work as biomarkers to predict the prognosis of HF and provide the basis for an individualized treatment.

A dried blood spot method with mass spectrometry focused on metabolomics analysis was applied to detect and compare the difference in metabolites between heart failure (HF) patients and non-HF patients in order to facilitate the early detection and treatment of heart failure.