scholarly journals CLINICAL VALUE OF DETERMINING GALECTIN-3 IN PATIENTS WITH CHRONIC HEART FAILURE

2017 ◽  
pp. 63-68 ◽  
Author(s):  
K. A. Gyamdzhyan ◽  
V. G. Kukes ◽  
M. L. Maksimov
Keyword(s):  
Heart Failure ◽  
Chronic Heart Failure ◽  
Plasma Levels ◽  
Developed Countries ◽  
Clinical Value ◽  
Clinical Indicators ◽  
Median Baseline ◽  
Galectin 3 ◽  
The Developed Countries ◽  
New Biomarkers

Relevance: today, the task of finding new biomarkers that could help monitor the effectiveness of pharmacotherapy, ensuring early diagnosis and predicting the clinical outcome of the disease continues to be relevant.Purpose: the purpose of the study was to assess the clinical value of determining galectin-3 in patients with chronic heart failure (CHF).Material and methods: the study included 53 patients (women n = 31, men n = 22) with CHF II-III FC NYHA. The mean age of patients was 71 (95% CI 68.99-74.37). The group of patients with CHF II NYHA included 14 people, and the group with CHF III NYHA - 39. The median baseline level for NT-proBNP was 65.7 pmol/L, the median baseline for galectin-3 - 8.37 pmol/L.Results: increased levels of galectin-3 correlated with reduced EF (%) (R = -0.26, p = 0.04), increased serum creatinine (r = 0.26, p = 0.04) and elevated plasma levels of NT-proBNP (r = 0.3, p = 0.02). No statistically significant relationship was obtained with other clinical indicators, such as SBP, DBP, heart rate, BMI, the 6-minute test, LVMI, LVM, glucose, TC, GFR. We obtained a moderate correlation between the plasma levels of NT-proBNP and galectin-3 (r = 0.3, p = 0.02). Reduced levels of galectin-3 after treatment were observed in 84.3% of patients.Conclusion. Galectin-3 can be used as an additional diagnostic biomarker for CHF. The incidence of congestive heart failure (CHF) is 1–2% among the population in the developed countries reaching >10% in patients aged over 70 years. [1] Despite a significant progress in the treatment of CHF over the past decades, the mortality rate is very high reaching 60% in men and 45% in women after 5 years after the initial diagnosis. [2] Therefore, the development of new methods for the prevention and treatment of CHF is a relevant medical and social problem. 

scholarly journals CLINICAL VALUE OF BLOOD BIOMARKERS IN PATIENTS WITH CHRONIC HEART FAILURE

2018 ◽  
Vol 8 (5) ◽  
pp. 333-345
Author(s):  
A. M. Aliyeva ◽  
E. V. Reznik ◽  
E. T. Hasanova ◽  
I. V. Zhbanov ◽  
I. G. Nikitin
Keyword(s):  
Heart Failure ◽  
Chronic Heart Failure ◽  
Arginine Vasopressin ◽  
Functional Class ◽  
The Body ◽  
Protective Effects ◽  
Clinical Value ◽  
Soluble St2 ◽  
Galectin 3 ◽  
St2 Receptor

Biomarkers (various laboratory biochemical markers), such as natriuretic peptides (NP), soluble ST2 receptor, copeptin, galectin-3, are widely studied in patients with chronic heart failure (CHF). The European Society of Cardiology recommends the determination of blood NP level in suspicion of HF and its use as one of the mandatory diagnostic criteria for CHF with preserved and mid-range ejection fraction. Dynamics of NP concentration may be predictor of the effectiveness of the therapy and the necessity of the titration of the dose of HF drugs. Neprilyzin destroys NP, but does not destroy their precursors, including NT-proBNP. Therefore, it is necessary to use NT-proBNP as a marker of therapeutic efficacy and prognosis when using neprilysine inhibitors (sacubitril). ST2 is a protein receptor for interleukin-33 (IL-33). The transmembrane ST2 (ST2L) binds to IL-33 and forms the IL-33/ST2L complex, which has a cardioprotective effect, prevents the development of myocardial hypertrophy, fibrosis and apoptosis. The soluble ST2 receptor (sST2) is a “trap” for IL-33 and neutralizes the protective effects of the IL-33/ST2L complex, which leads to hypertrophy and fibrosis of the myocardium, dilatation of the chambers and reduction of the contractility of the heart. It can be considered as a marker of unfavorable prognosis in heart failure, but it is not specific. Copeptin is a part of the arginine-vasopressin, or antidiuretic hormone, precursor which plays an important role in the pathogenesis of CHF. Since arginine-vasopressin has a short half-life and is unstable outside the body, copeptin is being actively investigated. Its level increases during the CHF decompensation and relates with the functional class of CHF. A combined measurement of the concentration of copeptin and NP may improve the risk stratification in CHF patients. Galectin-3 is a peptide that stimulates the activation of fibroblasts and the development of fibrosis. It increases in CHF patients and is associated with the severity of the condition, systolic and diastolic LV dysfunction and prognosis. Currently, NP are the best biomarkers that can and should be used in routine clinical practice. To prove the need for widespread use of other biomarkers, additional research is needed.

scholarly journals Favorable Response to CD34+ Cell Therapy Is Associated with a Decrease of Galectin-3 Levels in Patients with Chronic Heart Failure

2019 ◽  
Vol 2019 ◽  
pp. 1-8
Author(s):  
Gregor Poglajen ◽  
Jus Ksela ◽  
Sabina Frljak ◽  
Gregor Zemljic ◽  
Elizabeta Boznar Alic ◽  
...  
Keyword(s):  
Heart Failure ◽  
Stem Cell ◽  
Chronic Heart Failure ◽  
Cell Therapy ◽  
Stem Cell Therapy ◽  
Plasma Levels ◽  
Clinical Effects ◽  
Scar Burden ◽  
Galectin 3

Background. Galectin-3 plasma levels (gal-3) were shown to correlate with the scar burden in chronic heart failure (CHF) setting. As scar burden predicts response to stem cell therapy, we sought to explore a correlation between gal-3 and response to CD34+ cell transplantation in patients with CHF. Methods. We performed a post hoc analysis of patients, enrolled in 2 prospective trials investigating the clinical effects of CD34+ cell therapy in patients with ischemic cardiomyopathy (ICMP) and nonischemic dilated cardiomyopathy (DCMP). CD34+ cells were mobilized by G-CSF, collected via apheresis, and injected transendocardially using NOGA system. Patients were followed for 3 months and demographic, echocardiographic, and biochemical parameters and gal-3 were analyzed at baseline and at follow-up. Response to cell therapy was defined as an LVEF increase of ≥5%. Results. 61 patients were included in the analysis. The mean age of patients was 52 years and 83% were male. DCMP and ICMP were present in 69% and 31% of patients, respectively. The average serum creatinine was 86±23 μmol/L, NT-proBNP 1132 (IQR 350-2279) pg/mL, and LVEF 30±6%. Gal-3 at baseline and at 3 months did not differ significantly (13.4±5.5 ng/mL vs. 13.1±5.8 ng/mL; p=0.72), and there were no differences in baseline gal-3 with respect to heart failure etiology (15.1±7.2 ng/mL in ICMP vs. 12.7±4.3 ng/mL in DCMP; p=0.12). Comparing responders (N=49) to nonresponders (N=18), we found no differences in baseline gal-3 (13.6±5.7 ng/mL vs. 13.2±4.9 ng/mL; p=0.80). However, responders had significantly lower gal-3 at 3-month follow-up (12.1±4.0 ng/mL vs. 15.7±8.4 ng/mL; p<0.05). Also, responders demonstrated a significant decrease in gal-3 over 3 months, while in nonresponders, an increase in gal-3 occurred (−1.5±5.4 ng/mL vs. +2.7±4.3 ng/mL; p=0.01). Conclusions. In patients with chronic heart failure undergoing CD34+ cell therapy, a decrease in galectin-3 plasma levels is associated with beneficial response to this treatment modality. Further prospective data is warranted to confirm our findings and to deepen our understanding of the role of gal-3 in the field of stem cell therapy.

scholarly journals The role of galectin-3 in the diagnosis and control of the effectiveness of pharmacotherapy of chronic heart failure

2017 ◽  
Vol 8 (4) ◽  
pp. 5-10
Author(s):  
K. A Giamdzhian ◽  
V. G Kukes
Keyword(s):  
Heart Failure ◽  
New York ◽  
Chronic Heart Failure ◽  
Initial Level ◽  
Heart Association ◽  
Left Ventricular ◽  
Functional Class ◽  
Clinical Value ◽  
Reduced Ejection Fraction ◽  
Galectin 3

Relevance. At present, it is urgent to develop new biomarkers that can serve as a tool for early diagnosis of the disease in order to select pharmacotherapy and further monitor its effectiveness. The goal is to evaluate the clinical value of the definition of galectin-3 in patients with chronic heart failure (CHF). Materials and methods. The study included 53 patients (31 women, 22 men) with CHF II-III functional class (FC) of the New York Heart Association (NYHA). The mean age of the patients was 71 years (95% confidence interval 68.99-74.37). A group of patients with NYHA FCh II CHF made up 14 people, a group of patients with NYHA-39 CHF III FC. The median of the initial level of the N-terminal brain natriuretic peptide (NT-proBNP) was 65.7 pmol/L, the median of the initial level of galectin-3 - 8.37 pmol/l. Results. The relationship of increased level of galectin-3 with reduced ejection fraction,% (r=-0.26, p=0.04), increased creatinine level (r=0.26, p=0.04) and increased level of NT-proBNP plasma (r=0.3, p=0.02). With other clinical indicators, such as systolic and diastolic blood pressure, heart rate, body mass index, 6-minute walk test, left ventricular mass index, glucose level, total cholesterol, glomerular filtration rate, no statistically significant association was found. A moderate correlation was obtained between the levels of NT-proBNP and galectin-3 plasma (r=0.3, p=0.02). Reduction in the level of galectin-3 after the treatment was detected in 84.3% of patients. The conclusion. Galectin-3 can serve as an additional diagnostic biomarker of CHF.

582 Plasma levels of adrenomedullin, big-endothelin-1 and osteopontin in chronic heart failure

2003 ◽  
Vol 2 (1) ◽  
pp. 127
Author(s):  
S DELRY ◽  
C PASSINO ◽  
M MALTINTI ◽  
J KHABIRINEJAD ◽  
M EMDIN ◽  
...  
Keyword(s):  
Heart Failure ◽  
Chronic Heart Failure ◽  
Plasma Levels ◽  
Endothelin 1

Galectin-3 predicts cardiovascular events in patients with type-2 diabetes

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
A Lorenzo-Almoros ◽  
A Pello ◽  
A Acena ◽  
J Martinez-Milla ◽  
N Tarin ◽  
...  
Keyword(s):  
Heart Failure ◽  
Type 2 Diabetes ◽  
Plasma Levels ◽  
Cardiovascular Events ◽  
Primary Outcome ◽  
Funding Source ◽  
Increased Risk ◽  
Galectin 3 ◽  
Secondary Outcomes

Abstract Introduction Type-2 diabetes mellitus (T2DM) is associated with early and severe atherosclerosis. However, few biomarkers can predict cardiovascular events in this population. Methods We followed 964 patients with coronary artery disease (CAD), assessing at baseline galectin-3, monocyte chemoattractant protein-1 (MCP-1) and N-terminal fragment of brain natriuretic peptide (NT-proBNP) plasma levels. Secondary outcomes were acute ischemia and heart failure or death. Primary outcome was the combination of the secondary outcomes. Results Male patients were 75.0% in T2DM and 76.6% in the non-T2DM subgroup (p=0.609). Age was 61.0 (54–72) and 60.0 (51–71) years, respectively (p=0.092). 232 patients had T2DM. Patients with T2DM showed higher MCP-1 [144 (113–195) vs. 133 (105–173) pg/ml, p=0.006] and galectin-3 [8.3 (6.5–10.5) vs. 7.8 (5.9–9.8) ng/ml, p=0.049] levels. Median follow-up was 5.39 years (2.81- 6.92). Galectin-3 levels were associated with increased risk of the primary outcome in T2DM patients [HR 1.57 (1.07–2.30); p=0.022], along with a history of cerebrovascular events. Treatment with clopidogrel was associated with lower risk. In contrast, NT-proBNP and MCP-1, but not galectin-3, were related to increased risk of the event in non-diabetic patients [HR 1.21 (1.04–1.42); p=0.017 and HR 1.23 (1.05–1.44); p=0.012, respectively], along with male sex and age. Galectin-3 was also the only biomarker that predicted the development of acute ischemic events and heart failure or death in T2DM patients, while in non-diabetics MCP-1 and NT-proBNP, respectively, predicted these events. Conclusion In CAD patients, cardiovascular events are predicted by galectin-3 plasma levels in patients with T2DM, and by MCP-1 and NT-proBNP in those without T2DM. Effect of Gal-3 on the primary endpoint Funding Acknowledgement Type of funding source: Public Institution(s). Main funding source(s): Insituto de Salud Carlos III

Sign in / Sign up

Export Citation Format

Share Document