Within-day variation and influence of physical exercise on circulating Galectin-3 in patients with rheumatoid arthritis and healthy individuals

Galectin-3 as a Prognostic Biomarker of Left Ventricular Assist Device Implantation Outcomes

We assessed the prognostic potential of Galectin-3 in a sample of 159 heart failure patients who received a left ventricular assist device (LVAD) implant from 2012 to 2020. Clinical outcomes included hemodynamic data, right heart failure (RHF), hemocompatibility-related adverse events (HRAEs), and mortality. Galectin-3 was compounded into Michigan-RVF and EUROMACS-RHF risk scores and compared to the noncompounded risk scores. Right heart failure was significantly correlated with Galectin (p = 0.004) on a continuous spectrum. Inotrope duration was significantly correlated to Galectin-3 (interquartile range [IQR]: 7.58-8.65, p < 0.001) along with INTERMACS score (IQR: 2.14-1.90, p < 0.001). Intensive care unit length of stay (median 8 days, p = 0.02), blood urea nitrogen (p < 0.001), creatinine (p < 0.001), and pulmonary artery pulsatility index (p = 0.05) were also significantly correlated with Galectin-3. In our c-statistic analysis, the predictive value for RHF improved when Galectin-3 was included for both the Michigan-RVF (0.80-0.86) and EUROMACS-RHF (0.77-0.82) risk scores. When elevated over a binary cutoff of 18.2 ng/ml, Galectin-3 significantly correlated with HRAEs (p = 0.014) and mortality (p = 0.031). Galectin-3 shows great promise as a predictive biomarker in patients implanted with durable LVADs. In addition to significant correlation with key clinical outcomes, Galectin-3 enhanced the Michigan-RVF and EUROMACS-RHF risk scores in predicting progression to RHF.

Predictive Value of Galectin-3 and Brachial-Ankle Pulse Wave Velocity for Coronary Artery Calcification in Coronary Arteriography Patients

OBJECTIVES

To study the predictive value for coronary artery calcification (CAC) of plasma galectin-3 and brachial-ankle pulse wave velocity (BaPWV) in coronary arteriography (CAG) patients.

METHODS

Patients who received coronary arteriography (CAG) examination were recruited. The level of plasma galectin-3 was measured by the enzyme-linked immunosorbent assay. The arterial stiffness was analyzed by BaPWV and ankle-brachial index (ABI) which were measured using a volume-plethysmographic device. Receiver operating characteristic (ROC) curve was used to analyze the prognostic value of galectin-3 or BaPWV for coronary artery calcification (CAC).

RESULTS

The level of galectin-3 and BaPWV was significantly higher in CAC patients compared with that in control (p < 0.01). The level of plasma galectin-3 was positively correlated with BaPWV (r = -0.296, p < 0.01) and negatively correlated with ABI (r = -0.296, p < 0.01). ROC curve analysis revealed that galectin-3 ≥5.90 ng/ml was the most powerful predictor for CAC with sensitivity of 85.5% and specificity of 83.5%. The area under the curve (AUC) was 0.916. When the level of BaPWV was more than 1909 m/s, the sensitivity and specificity were 61.8% and 69.6%, respectively, for predicting CAC. The AUC was 0.646.

CONCLUSIONS

The level of plasma galectin-3 increases significantly in CAC patients compared to control, and its level is related to BaPWV and ABI. Galectin-3 and BaPWV can be used to predict CAC, and the diagnosis value (sensitivity and specificity) of galectin-3 for CAC is better than that of BaPWV.

Evaluation of Galectin-3 as a Novel Diagnostic Biomarker in Patients with Heart Failure with Preserved Ejection Fraction

Background  Heart failure is a complex cardiovascular disease with a variety of etiologies and heterogeneity. The N-terminal pro-B-type natriuretic peptide (NT-proBNP) value has limited usefulness in diagnosing heart failure with preserved ejection fraction (HFpEF). Aim  The aim of the present study is to evaluate serum Galectin-3 as a diagnostic biomarker in patients with HFpEF and to compare Galectin-3 with NT-proBNP levels. Materials and Methods  A cross-sectional case-control study including 63 cases of heart failure with ejection fraction ≥50% confirmed by echocardiography. NT-proBNP levels in serum were measured by electrochemiluminescence immunoassay and Galectin-3 levels in serum were measured by using an enzyme-linked-immunosorbent serologic assay kit. Results  The median levels of serum Galectin-3 and NT-proBNP in patients were significantly higher than those of controls (26.59 vs. 5.27 and 927 vs. 49.3, p < 0.0001). A positive correlation was observed between serum levels of Galection-3 and NT-ProBNP ( r : 0.21, p = 0.048). At cut-off values of 10.1 ng/mL and 160 pg/mL, serum Galectin-3 has 77.78% sensitivity, 95% specificity with an area under the curve (AUC) of 0.93, and serum NT-proBNP has 71.43% sensitivity, 100% specificity with an AUC of 0.87, respectively, for diagnosing HFpEF. The comparison of receiver operating characteristics curves showed that Galectin-3 has better AUC compared with NT-proBNP in diagnosing HFpEF. Serum Galectin-3 showed a positive correlation with NT-proBNP and lipid parameters. Conclusion  Galectin-3 with higher sensitivity and AUC can be used as a valuable biomarker for the diagnosis of HFpEF. Simultaneous testing of both Galectin-3 and NT-proBNP can further improve the detection of patients with HFpEF.

Serum galectin-3 levels are decreased in schizophrenia

Objective:

To determine whether changes in serum galectin-3 (gal-3) concentrations in schizophrenia patients have etiopathogenetic importance. Since very little research has assessed the connection between galectins and schizophrenia, we wanted to examine alterations in the inflammatory marker gal-3 in schizophrenia and investigate possible correlations between clinical symptomatology and serum concentrations.

Methods:

Forty-eight schizophrenia patients and 44 healthy controls were included in this study. The Scale for the Assessment of Positive Symptoms (SAPS) and the Scale for the Assessment of Negative Symptoms (SANS) were administered to determine symptom severity. Venous blood samples were collected, and serum gal-3 levels were measured.

Results:

Mean serum gal-3 levels were significantly lower in schizophrenia patients, and there were no significant differences in age or sex with the control group. There was also a significant positive correlation between serum gal-3 concentrations and negative schizophrenia symptoms according to the SANS.

Conclusion:

The results indicate that gal-3 is decreased in schizophrenia patients, which could contribute to inflammation in the pathogenesis of schizophrenia.

A preliminary data: Evaluation of serum Galectin-3 levels in patients with Idiopathic Parkinson's Disease

AIM

In our study, we aimed to collect data for the hypothesis that Galectin-3 might be used as a new prognostic and therapeutic biomarker in Idiopathic Parkinson's Disease (IPD).

METHOD

In this prospective and cross-sectional study, the Unified Parkinson's Disease Rating Scale (UPDRS) and Modified Hoehn and Yahr (H&Y) scales were applied to each patient diagnosed as IPD according to the UK Brain Bank diagnostic criteria. The control group consisted of healthy individuals with the same age, gender, and body mass index characteristics as the patients meeting the exclusion criteria.

RESULTS

A total of 111 cases were included in the study, 48 were IPD, and 63 were healthy controls. There were no statistically significant differences between the IPD and control groups in terms of demographic, anthropometric, and blood parameters (p > 0.05). Serum galectin-3 levels were significantly higher in IPD than the control group (p < 0.001). Serum galectin-3 levels, UPDRS scores, and duration of disease were significantly higher in patients with IPD in parallel with the progression of the disease (p < 0.001; 0.001; 0.009). No significant relationship was detected between the stage of the disease and other parameters (p < 0.05).

CONCLUSION

Our study supports the hypothesis that serum galectin-3 level might be associated with IPD. Our data suggest that serum galectin-3 levels might be an accessible biomarker for the detection and prevention of chronic, progressive diseases such as IPH.

Galectins in the Pathogenesis of Cerebrovascular Accidents: An Overview

Due to limitations of neuroimaging, such as the isodense appearance of blood to neuronal tissue in subacute hemorrhagic stroke, a body of studies have been performed to evaluate candidate biomarkers which may aid in accurate determination of cerebrovascular accident type. Beyond aiding in the delineation of stroke cause, biomarkers could also confer useful prognostic information to help clinicians plan use of resources. One of the candidate biomarkers studied for detection of cerebrovascular accident (CVA) includes a class of proteins called galectins. Galectins bind β-galactoside through a highly conserved carbohydrate recognition domain, endowing an ability to interact with carbohydrate moieties on glycoproteins, some of which are relevant to CVA response. Furthermore, galectins-1, -2, -3, -9, and -12 are expressed in tissues relevant to CVA, and some exhibit characteristics (eg, extracellular secretion) that could render feasible their detection in serum. Galectins-1 and -3 appear to have the largest amounts of preclinical evidence, consistently demonstrating increased activity and expression levels during CVA. However, a lack of standardization of biochemical assays across cohort studies limits further translation of these basic science studies. This review aims to increase awareness of the biochemical roles of galectins in CVA, while also highlighting challenges and remaining questions preventing the translation of basic science observations into a clinically useful test.

Effect of high-intensity interval training on muscle remodeling in rheumatoid arthritis compared to prediabetes

Background

Sarcopenic obesity, associated with greater risk of cardiovascular disease (CVD) and mortality in rheumatoid arthritis (RA), may be related to dysregulated muscle remodeling. To determine whether exercise training could improve remodeling, we measured changes in inter-relationships of plasma galectin-3, skeletal muscle cytokines, and muscle myostatin in patients with RA and prediabetes before and after a high-intensity interval training (HIIT) program.

Methods

Previously sedentary persons with either RA (n = 12) or prediabetes (n = 9) completed a 10-week supervised HIIT program. At baseline and after training, participants underwent body composition (Bod Pod^®) and cardiopulmonary exercise testing, plasma collection, and vastus lateralis biopsies. Plasma galectin-3, muscle cytokines, muscle interleukin-1 beta (mIL-1β), mIL-6, mIL-8, muscle tumor necrosis factor-alpha (mTNF-α), mIL-10, and muscle myostatin were measured via enzyme-linked immunosorbent assays. An independent cohort of patients with RA (n = 47) and age-, gender-, and body mass index (BMI)-matched non-RA controls (n = 23) were used for additional analyses of galectin-3 inter-relationships.

Results

Exercise training did not reduce mean concentration of galectin-3, muscle cytokines, or muscle myostatin in persons with either RA or prediabetes. However, training-induced alterations varied among individuals and were associated with cardiorespiratory fitness and body composition changes. Improved cardiorespiratory fitness (increased absolute peak maximal oxygen consumption, or VO₂) correlated with reductions in galectin-3 (r = −0.57, P = 0.05 in RA; r = −0.48, P = 0.23 in prediabetes). Training-induced improvements in body composition were related to reductions in muscle IL-6 and TNF-α (r < −0.60 and P <0.05 for all). However, the association between increased lean mass and decreased muscle IL-6 association was stronger in prediabetes compared with RA (Fisher r-to-z P = 0.0004); in prediabetes but not RA, lean mass increases occurred in conjunction with reductions in muscle myostatin (r = −0.92; P <0.05; Fisher r-to-z P = 0.026). Subjects who received TNF inhibitors (n = 4) or hydroxychloroquine (n = 4) did not improve body composition with exercise training.

Conclusion

Exercise responses in muscle myostatin, cytokines, and body composition were significantly greater in prediabetes than in RA, consistent with impaired muscle remodeling in RA. To maximize physiologic improvements with exercise training in RA, a better understanding is needed of skeletal muscle and physiologic responses to exercise training and their modulation by RA disease–specific features or pharmacologic agents or both.

Trial registration

ClinicalTrials.gov Identifier: NCT02528344. Registered on August 19, 2015.

Galectin-3 as a novel biomarker for disease diagnosis and a target for therapy (Review)

Galectin-3 is a member of the galectin family, which are β‑galactoside‑binding lectins with ≥1 evolutionary conserved carbohydrate‑recognition domain. It binds proteins in a carbohydrate‑dependent and ‑independent manner. Galectin‑3 is predominantly located in the cytoplasm; however, it shuttles into the nucleus and is secreted onto the cell surface and into biological fluids including serum and urine. It serves important functions in numerous biological activities including cell growth, apoptosis, pre‑mRNA splicing, differentiation, transformation, angiogenesis, inflammation, fibrosis and host defense. Numerous previous studies have indicated that galectin‑3 may be used as a diagnostic or prognostic biomarker for certain types of heart disease, kidney disease and cancer. With emerging evidence to support the function and application of galectin‑3, the current review aims to summarize the latest literature regarding the biomarker characteristics and potential therapeutic application of galectin‑3 in associated diseases.

Serum galectin-3, but not galectin-1, levels are elevated in schizophrenia: implications for the role of inflammation

BACKGROUND

Previous studies have reported that galectin-3 is involved in inflammatory processes in the central nervous system and that neuroinflammation may play a role in the pathogenesis of schizophrenia. However, the link between schizophrenia and various galectins is unclear.

OBJECTIVE

The objective of the present study is to determine whether galectin, a well-known lectin protein that binds to μ-galactoside, is associated with chronic schizophrenia.

METHODS

Thirty-six patients with schizophrenia and 36 healthy controls participated in this study. Schizophrenia symptoms were assessed using the Brief Psychiatry Rating Scale (BPRS). Serum galectin-1 and galectin-3 levels were evaluated using ELISA and compared between the participant groups. Correlation analyses were also performed to examine the relationship between BPRS scores and each galectin level.

RESULTS

Serum galectin-3 levels were significantly higher in patients with schizophrenia than they were in controls (p = 0.009, d = 0.640); however, serum galectin-1 levels were not significantly different between the groups (p = 0.513). No significant correlation was identified between serum galectin-3 level and the total BPRS score; however, a significant positive correlation was found between the serum galectin-3 level and the positive symptom score of the BPRS (ρ = 0.355; p = 0.033). Additionally, a significant negative correlation was identified between serum galectin-3 levels and the negative symptom score of the BPRS (ρ = -0.387; p = 0.020).

CONCLUSIONS

Given the high serum levels of galectin-3 found in patients with schizophrenia compared with that in controls, these findings may support the inflammation hypothesis of schizophrenia.

Clinical significance of galectin-3 in patients with adult acute myeloid leukemia: a retrospective cohort study with long-term follow-up and formulation of risk scoring system

Galectin-3 plays an increasingly important role in development and progression of tumor. However, little is known about the clinical impact of galectin-3 in non-acute promyelocytic leukemia (non-M3 AML). Peripheral blood of 298 patients with primary non-M3 AML and 30 normal donors was collected for measurement of galectin-3. Galectin-3 levels were significantly higher compared with the control group (p < .001). Patients with higher galectin-3 levels had lower CR rates (p = .001) and 1-year overall survival (OS) rates (p = .002). The Kaplan-Meier survival analysis showed that higher galectin-3 levels group had significantly shorter OS. Cox regression model revealed high galectin-3 level was an independent poor prognostic factor. A scoring system incorporating galectin-3 and other prognostic factors (age, WBC, karyotype, NPM1/FLT3-ITD, CEBPA^{double-mutation} and c-KIT, WT1) was formulated to predict prognosis. In conclusion, galectin-3 may be a reliable prognostic marker in AML patients. The multifactorial scoring system was more powerful than a single factor to predict clinical outcome.

Prognostic value of plasma galectin-3 levels after aneurysmal subarachnoid hemorrhage

BACKGROUND

Inflammatory responses are correlated with secondary brain injury after aneurysmal subarachnoid hemorrhage (aSAH). Galectin-3 (Gal-3) is a novel biomarker reflecting inflammation status, and its elevated circulating levels are associated with poor prognosis of some inflammatory diseases. The aim of this study was to evaluate the relationship between Gal-3 plasma levels and prognosis in a group of aSAH patients.

MATERIALS AND METHODS

We assessed plasma Gal-3 levels in 120 patients and 120 healthy individuals. 6-month clinical outcomes included mortality and unfavorable outcome (Glasgow Outcome Scale score of 1-3). Associations of plasma Gal-3 levels with clinical outcomes were investigated using multivariate analysis.

RESULTS

Patients showed significantly higher Gal-3 levels as compared to controls. Circulating Gal-3 was significantly and independently associated with 6-month clinical outcomes in the logistic regression analysis. Moreover, we observed a significant correlation between circulating Gal-3 and World Federation of Neurological Surgeons scores and modified Fisher scores. Furthermore, Gal-3 possessed high area under receiver operating characteristic curve for prognostic assessment.

CONCLUSION

Our findings indicate the associations between Gal-3 levels and the severity and poor prognosis following aSAH. This suggests the possible role of Gal-3 in the prognostic prediction after aSAH.