Galectin-3 for prediction of cardiac function compared to NT-proBNP in individuals with prediabetes and type 2 diabetes mellitus

Metabonomic Characteristics of Myocardial Diastolic Dysfunction in Type 2 Diabetic Cardiomyopathy Patients

Diabetic cardiomyopathy (DCM) is one of the most essential cardiovascular complications in diabetic patients associated with glucose and lipid metabolism disorder, fibrosis, oxidative stress, and inflammation in cardiomyocytes. Despite increasing research on the molecular pathogenesis of DCM, it is still unclear whether metabolic pathways and alterations are probably involved in the development of DCM. This study aims to characterize the metabolites of DCM and to identify the relationship between metabolites and their biological processes or biological states through untargeted metabolic profiling. UPLC-MS/MS was applied to profile plasma metabolites from 78 patients with diabetes (39 diabetes with DCM and 39 diabetes without DCM as controls). A total of 2,806 biochemical were detected. Compared to those of DM patients, 78 differential metabolites in the positive-ion mode were identified in DCM patients, including 33 up-regulated and 45 down-regulated metabolites; however, there were only six differential metabolites identified in the negative mode including four up-regulated and two down-regulated metabolites. Alterations of several serum metabolites, including lipids and lipid-like molecules, organic acids and derivatives, organic oxygen compounds, benzenoids, phenylpropanoids and polyketides, and organoheterocyclic compounds, were associated with the development of DCM. KEGG enrichment analysis showed that there were three signaling pathways (metabolic pathways, porphyrin, chlorophyll metabolism, and lysine degradation) that were changed in both negative- and positive-ion modes. Our results demonstrated that differential metabolites and lipids have specific effects on DCM. These results expanded our understanding of the metabolic characteristics of DCM and may provide a clue in the future investigation of reducing the incidence of DCM. Furthermore, the metabolites identified here may provide clues for clinical management and the development of effective drugs.

Galectin-3 as a Marker of Cardiorenal Syndrome in Patients with Chronic Heart Failure

Aim. To assess the effect of renal dysfunction on the galectin-3 level in patients with chronic heart failure (HF) with preserved, intermediate and reduced left ventricular ejection fraction (EF).Material and methods. Along with a clinical examination, 69 patients with HF (NYHA class II-IV) underwent tests for the level of NT-proBNP and galectin-3 in serum using enzyme immunoassay.Results. Study participants were divided into 3 groups: 23 patients with preserved EF (HFpEF), 26 patients with midrange EF (HFmrEF), 20 patients with reduced EF (HFrEF). There was a trend to increase the concentration of galectin-3 with increase in NT-proBNP level. Correlation analysis showed significant feedback (r=−0.41, p<0.05) between galectin-3 and EF only in patients with preserved systolic function. In the same group of HFpEF patients, the maximum serum galectin-3 level was 10.5 [6.5; 14.5] ng/ml. Serum galectin-3 level showed negative correlated with the GFR in patients with CHF (r=−0.513, p<0.05). In patients with HF and glomerular filtration rate (GFR) <60 ml/min/1.73 m2 it was higher than in patients with GFR>60 ml/min/1.72 m2 (9 [5.3; 12.6] ng/mL vs 11.8 [6.2; 15.3] ng/mL, p<0.05). According to the ROC-analysis data, galectin-3 level >10.3 ng/ml indicates a high risk of chronic kidney disease stage 3-4 stage development (sensitivity 60%, specificity 75%) and can be considered as a risk factor for development of cardiorenal syndrome in HF patients.Conclusion. Galectin-3 level in patients with HF is more influenced by the degree of reduction in GFR rather than the left ventricular systolic function impairment.

Underestimated Prediabetic Biomarkers: Are We Blind to Their Strategy?

Type 2 Diabetes (T2D) is currently one of the fastest growing health challenging, a non-communicable disease result of the XXI century lifestyle. Given its growing incidence and prevalence, it became increasingly imperative to develop new technologies and implement new biomarkers for early diagnosis in order to promote lifestyle changes and thus cause a setback of the disease. Promising biomarkers have been identified as predictive of T2D development; however, none of them have yet been implemented in clinical practice routine. Moreover, many prediabetic biomarkers can also represent potential therapeutical targets in disease management. Previous studies have identified the most popular biomarkers, which are being thoroughly investigated. However, there are some biomarkers with promising preliminary results with limited associated studies; hence there is still much to be understood about its mechanisms and associations in T2D pathophysiology. This work identifies and discusses the promising results of Galectin-3, Ophthalmate and Fetuin-A.