Diagnostic Value of Serum Concentration of Galectin-3 in Patients With Heart Failure With Preserved Ejection Fraction

Paper electrochemical immunosensor for the rapid screening of Galectin-3 patients with heart failure

A paper electrochemical immunosensor for the combined binding and quantification of the heart failure (HF) biomarker Galectin-3 has been developed. The simple design of the new sensor is comprised of paper material that is decorated with gold nanostructures, to maximize its electroactive surface area, and functionalized with target-specific recognition molecules to selectively bind the protein from aqueous solutions. The binding of the protein caused the blockage of the electron flow to the sensor electroactive surface, thus causing its oxidation potential to shift and the corresponding current to reduce quantitatively with the increase in the protein concentration within the working range of 0.5ng/mL-8ng/mL (LOQ-0.5 ng/mL). This novel sensor was able to quantify Galectin-3 concentration in saliva samples from HF patients and healthy controls within 20 min with good reproducibility (RSD = 3.64%), without the need for complex sample processing steps. The electrochemical measurements of the patient samples were cross validated by ELISA where the percent agreement between the two methods was found to be 92.7% (RSD = 7.20%). Therefore, the new paper immunosensor sensor has a strong potential for rapid and cost-effective screening of the Galectin 3 biomarker at points of care, thus supporting the timely diagnosis of heart failure.

Association Between Anemia Status and the Risk of Different Types of Heart Failure: A RCSCD-TCM Study in China

We investigated the association between anemia status and the risk of heart failure (HF) in patients with coronary heart disease (CHD) based on a multi-center, large-sample and retrospective cross-sectional study including 89,207 patients. Heart failure was categorized as HF with reduced ejection fraction (HFrEF), HF with preserved ejection fraction (HFpEF), and HF with mid-range ejection fraction (HFmrEF). In multi-adjusted models, compared with patients without anemia, mild anemia (odds ratio [OR] 1.71; 95% confidence interval [CI] 1.53-1.91; P < .001), moderate anemia (OR 3.68; 95% CI, 3.25-4.17; P < .001), and severe anemia (OR 8.02; 95% CI, 6.50-9.88; P < .001) were associated with the risk of HF among CHD patients. Men aged <65 years were more likely to develop HF. In subgroup analyses, the multi-adjusted ORs and 95% CI of HFpEF, HFrEF, and HFmrEF related to anemia were 3.24 (95% CI 1.43-7.33), 2.22 (95% CI 1.28-3.84), and 2.55 (95% CI 2.24-2.89), respectively. These findings suggest that anemia might be associated with increased risk of different types of HF, especially HFpEF.

Role of galectin-3 as a biomarker in obstructive sleep apnea: a systematic review and meta-analysis

BACKGROUND

Because obstructive sleep apnea (OSA) is a prevalent condition, biomarkers for OSA would be very useful. Galectin-3 has gained attention as a marker for several diseases. The aim of this study was to investigate the association between circulating galectin-3 levels and OSA.

METHODS

PubMed, Scopus, Embase, and Web of Science were explored to find the studies evaluating galectin-3 in OSA and controls, within different severities of OSA, or before and after continuous positive airway pressure (CPAP) treatment in cases with OSA. We used random-effect meta-analysis to calculate standardized mean differences (SMD) along with 95% confidence intervals (CI). Newcastle-Ottawa Scale was used assessment of the risk of bias in studies.

RESULTS

An initial search resulted in 289 results. After exclusion of duplicate studies, screening of titles/abstracts and assessments of full texts, six studies were included comprised of 987 cases with a mean age of 54.4 years. Meta-analysis showed that there were significantly higher galectin-3 circulating levels in patients with OSA than in healthy controls (SMD 0.80, 95% CI 0.30 to 1.31, p value < 0.01). Severe OSA was related to higher levels of galectin-3, in comparison to non-severe OSA (SMD 0.76, 95% CI 0.29 to 1.22, p value < 0.01). CPAP therapy also significantly reduced galectin-3 peripheral levels in patients with OSA (SMD - 3.55, 95% CI - 6.90 to - 0.20, p value = 0.04).

CONCLUSION

The findings suggest that Galectin-3 may have potential utility as a biomarker in patients with OSA. Further research is needed to demonstrate its role in pathophysiology, as well as its possible use in diagnosis and prognosis.

Levels of Galectin-3 in Chronic Heart Failure: A Case-Control Study

Introduction

Heart failure (HF) is a progressive clinical syndrome resulting from various cardiac disorders. Galectin-3 promotes adverse cardiac remodeling leading to chronic heart failure (CHF).

Aim

To estimate the levels of galectin-3 in chronic heart failure (CHF) patients and controls and to determine the association between galectin-3 levels with age, gender, and left ventricular ejection fraction (LVEF).

Materials and methods

The levels of plasma galectin-3 were estimated in CHF patients from January 2013 to October 2013 at Rajiv Gandhi Government General Hospital, Chennai, Tamil Nadu. The study was a case-control study. A total of 55 CHF patients were recruited as cases, and 55 controls were enrolled for the study. Participants' profiles were documented, and 5 mL of blood sample was collected. Galectin-3 levels in plasma were estimated by using an enzyme-linked immunosorbent assay (ELISA). Data were analyzed using SPSS 25.0 version. Mean, SD, and percentages were used to compare the characteristics of the two groups. The student's t-test was used to compare galectin-3 levels between CHF patients and the controls. ANOVA was employed to compare galectin-3 levels in the different age groups, gender, and LVEF. The receiver operating characteristic (ROC) curve was plotted for plasma galectin-3 in CHF.

Results

In the present study, the mean age of CHF patients was 55.9±8.1 years and 54.1±9.4 years for controls. Males constituted 63.6% (n=35) and females were 36.4% (n=20) in the CHF group while 67.3% (n=37) were males and 32.7% (n=18) were females in the control group. The mean and SD for plasma galectin-3 was 9.95±2.8 ng/mL among CHF patients, while it was 4.08±1.3 ng/mL among controls (p<0.0001). As the age increased, levels of plasma galectin-3 increased in CHF patients and controls (p<0.00001). However, there was no statistical significance (p >0.05) for levels of galectin-3 among males and females in both groups. There was a highly significant difference in galectin-3 levels among cases and controls when classified into sub-groups based on their LVEF (p<0.0001). At the cut-off level of 8 ng/mL, plasma galectin-3 had a sensitivity of 92% and specificity of 71% in predicting CHF.

Conclusion

Galectin-3 helps in identifying CHF due to maladaptive remodeling of the heart. The present study concludes that estimating the plasma levels of galectin-3 is useful in diagnosing CHF.