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Background and Objectives Selvigaltin (GB1211), an orally available small molecule galectin-3 inhibitor developed as a treatment for liver fibrosis and cirrhosis, was evaluated to assess the effect of hepatic impairment on its pharmacokinetics and safety to address regulatory requirements. Methods GULLIVER-2 was a Phase Ib/IIa three-part study. Parts 1 and 3 had single-dose, open-label designs assessing pharmacokinetics (plasma [total and unbound] and urine), safety, and tolerability of 100 mg oral selvigaltin in participants with moderate (Child-Pugh B, Part 1) or severe (Child-Pugh C, Part 3) hepatic impairment, compared with healthy-matched participants ( n = 6 each). Results All participants received selvigaltin and completed the study. No adverse events were reported. The median time to reach maximum total plasma concentration following drug administration was of 3.49 and 4.00 h post-dose for Child-Pugh B and C participants, respectively; comparable with controls. Total plasma exposure was higher for participants with hepatic impairment compared with controls. Whilst maximum plasma concentration ( C max ) was unaffected in Child-Pugh B participants, area under the plasma concentration-time curve from time zero to infinity (AUC ∞ ) increased by ~ 1.7-fold compared with controls, and half-life was prolonged (geometric mean 28.15 vs 16.38 h). In Child-Pugh C participants, C max increased by ~ 1.3-fold, AUC ∞ increased by ~ 1.5-fold, and half-life was prolonged (21.05 vs 16.14 h). No trend was observed in plasma unbound fractions or urinary excretion of unchanged selvigaltin in either group. Conclusion Hepatic impairment increased selvigaltin exposure without safety concerns. These data can inform dose recommendations for future clinical programmes. Trial Registration Clinicaltrials.gov NCT05009680.

Background Acromegaly occurs due to overproduction of growth hormone (GH) and insulin-like growth factor-1 (IGF-1). Galectin-3 (Gal-3) has recently emerged as a novel biomarker, related to IGF-1. This study aimed to assess Gal-3 in patients with acromegaly and compare its effectiveness with traditional biomarker tests . Materials and methods A randomized case control study conducted in a single center included 50 acromegaly patients and 40 apparently healthy subjects (HS) serve as control group matched both age and BMI. Laboratory test was measured by routine assay used in center. Gal-3, GH, and IGF-1 were measured by enzyme-linked immunosorbent assay (ELISA). Result There were 50 patients with an average age of 50.40 ± 12.229 (50% of males). Compared with HS, patients’ serum GAL-3 levels have increased significantly. The serum GAL-3 exceeds 14.363 ng/ml, with a sensitivity of 100.0 and a specificity of 100.0. Furthermore, serum Gal-3 levels in combination with traditional tests (GH and IGF-1) by DeLoongs test had a significant difference in discriminating acromegaly more accurately than traditional tests. Conclusion In a summary, this study recommended clinicians measure serum Gal-3 as biomarkers for patients with acromegaly. In addition, the result above shed light on role of Gal-3 on acromegaly pathogenesis and might provide a therapeutic target of acromegaly patients.

Galectin-3 is a β-galactoside-binding lectin that has been implicated in cardiac fibrosis and remodeling, is increased in models of failure-prone hearts, and has prognostic value in patients with heart failure (HF). The relationship between galectin-3 and the development of HF after acute coronary syndrome (ACS) is unknown. In a nested case-control study among patients with ACS in PROVE IT-TIMI 22, we identified 100 cases with a hospitalization for new or worsening HF. Controls were matched (1:1) for age, sex, ACS type, and randomized treatment. Serum galectin-3 was measured at baseline (within 7 days post-ACS). Patients who developed HF had higher baseline galectin-3 [median 16.7 μg/L (25th, 75th percentile 14.0, 20.6) vs 14.6 μg/L (12.0, 17.6), P=0.004]. Patients with baseline galectin-3 above the median had an odds ratio of 2.1 (95% CI 1.2-3.6) for developing HF, P=0.010. Galectin-3 showed a graded relationship with risk of HF. Cases were more likely to have hypertension, diabetes, prior MI, and prior HF; after adjustment for these factors, this graded relationship with galectin-3 quartile and HF remained significant [adjusted OR 1.4 (95% CI 1.1-1.9), P=0.020]. When BNP was added to the model, the relationship between galectin-3 and HF was attenuated [adjusted OR 1.3 (95% CI: 0.96-1.9), P=0.08]. The finding that galectin-3 is associated with the risk of developing HF following ACS adds to emerging evidence supporting galectin-3 as a biomarker of adverse remodeling contributing to HF as well as a potential therapeutic target.

Endocan, chemerin, and galectin-3 are discrete biomarkers associated with cardiovascular diseases and acting through different pathophysiological pathways. The aim of this study is to investigate and compare the effects of high doses of atorvastatin and rosuvastatin on serum endocan, chemerin, and galectin-3 levels in patients with acute myocardial infarction (AMI). Sixty-three patients with AMI were randomized to receive atorvastatin (80 mg/day) or rosuvastatin (40 mg/day) after percutaneous revascularization. Serum levels of endocan, chemerin, and galectin-3 were evaluated at baseline and after 4-week therapy. Endocan levels were not decreased statistically significantly with atorvastatin 80 mg, but rosuvastatin 40 mg markedly decreased the levels of endocan according to baseline [from 110.27 (86.03-143.69) pg/mL to 99.22 (78.30-122.87) pg/mL with atorvastatin 80 mg and from 110.73 (77.28-165.22) pg/mL to 93.40 (70.48-115.13) pg/mL with rosuvastatin 40 mg, p=0.242 for atorvastatin 80 mg and p=0.014 for rosuvastatin 40 mg]. Chemerin levels significantly decreased in both groups according to baseline [from 264.90 (196.00-525.95) ng/mL to 135.00 (105.95-225.65) ng/mL with atorvastatin 80 mg and from 309.95 (168.87-701.27) ng/mL to 121.25 (86.60-212.65) ng/mL with rosuvastatin 40 mg, p<0.001, respectively, for both groups]. Galectin-3 levels did not change markedly with atorvastatin 80 mg, but they decreased with rosuvastatin 40 mg [from 17.00 (13.10-22.25) ng/mL to 19.30 (15.25-23.45) ng/mL with atorvastatin 80 mg, p=0.721, and from 18.25 (12.82-23.82) ng/mL to 16.60 (10.60-20.15) ng/mL with rosuvastatin 40 mg, p=0.074]. There were no significant between-group differences in terms of absolute and percentage changes of endocan, chemerin, and galectin-3 at 4 weeks. We reported that both statins similarly decreased the endocan levels, whereas rosuvastatin seems to have more prominent effects on the reduction of the chemerin and galectin-3 levels in patients with AMI.

Abstract Background Galectin-3 (Gal-3) is a circulating biomarker of fibrosis, with higher levels being associated with an increased risk of progression of heart failure and kidney disease. Patients with type 2 diabetes mellitus (T2DM) are at increased risk of both. Methods DECLARE-TIMI 58 was a randomized, placebo-controlled trial of dapagliflozin in patients with T2DM with or at high risk for atherosclerotic cardiovascular disease and creatinine clearance ≥60 mL/min. In a nested biomarker substudy, Gal-3 was measured at baseline and in adjusted analyses associated with the prespecified kidney-specific composite endpoint [Kidney-EP; sustained ≥40% decrease in estimated glomerular filtration rate (eGFR) to <60 mL/min, new end-stage kidney disease or adjudicated kidney-related death]. Results Among 14 530 pts, median Gal-3 was 14.9 ng/mL [interquartile range (IQR), 11.9, 18.4]. Gal-3 was weakly associated with urine albumin creatinine ratio (r = 0.098, P < 0.0001) and eGFR (r = −0.27, P < 0.001) at baseline and independently associated with the Kidney-EP:adj hazard ratio (HR) 1.15 [95% confidence interval (CI) 1.03, 1.28] per 1-SD log (Gal-3), P = 0.013. Dapagliflozin significantly reduced the relative risk of the Kidney-EP across quartiles of baseline Gal-3 [overall HR 0.45 (95% CI 0.23, 0.85), P < 0.0001; P interaction = 0.87]. A greater risk difference was observed with dapagliflozin in patients with higher Gal-3, in whom a higher absolute risk at baseline was observed [absolute risk reduction (ARR) Q4 1.9 (95% CI 0.6, 3.2) vs. Q1 0.6% (−0.1, 1.3), ARR P trend 0.048]. Conclusions Plasma Gal-3 is independently associated with the progression of kidney dysfunction in patients with T2DM and normal kidney function. There was a gradient of greater absolute benefit for reducing kidney disease progression in patients treated with dapagliflozin and with higher Gal-3 concentrations at baseline, in whom a higher absolute risk was observed. Registration: clinicaltrials.gov (NCT01730534).

Galectin-3 is a new biomarker involved in inflammation and fibrogenesis and could therefore contribute to myocardial remodeling. We examined the prognostic value of baseline galectin-3 in a substudy involving approximately 30% of participants in the CORONA study. Patients (n = 1462) aged >60 years with systolic, ischemic heart failure (HF) were randomized to 10 mg/d rosuvastatin or placebo. The primary composite end point was cardiovascular death, nonfatal myocardial infarction, or stroke (n = 408). In the unadjusted analysis, galectin-3 was associated with all end points considered, except hospitalization for worsening of HF. In multivariable analyses, adjusting for other clinical and biochemical predictor variables, galectin-3 was significantly associated with the primary end point (hazard ratio [HR] 1.53 [1.10-2.12], P = .011) as well as all-cause (HR 1.61 [1.20-2.29], P = .002) and cardiovascular mortality (HR 1.70 [1.19-2.42], P = .003), sudden death (HR 1.83 [1.14-2.94], P = .012), and the coronary end point (HR 1.48 [1.03-2.12], P = .035). However, when N-terminal pro–brain natriuretic peptide was added to the model, galectin-3 association with the end points was markedly attenuated and no longer significant. Galectin-3 is not associated with outcome in older patients with advanced chronic systolic HF of ischemic etiology when adjusting for N-terminal pro–brain natriuretic peptide and may therefore have limited use in the prognostication of elderly patients with systolic HF in clinical practice.

Galectin-3 (Gal-3) is considered as a myocardial fibrosis biomarker with prognostic value in heart failure (HF). Since aldosterone is a neurohormone with established fibrotic properties, we aimed to investigate if mineralocorticoid receptor antagonists (MRAs) would modulate the prognostic value of Gal-3. The IBLOMAVED cohort comprised 427 eligible chronic HF patients (CHF) with echocardiography and heart failure biomarkers assessments (BNP). After propensity score matching CHF patients for cardiovascular risk factors, to form balanced groups, Gal-3 levels were measured at baseline in plasma from patients treated with MRAs (MRA-Plus, n=101) or not (MRA-Neg, n=101). The primary end point was all-cause mortality with a follow-up of 3 years. Gal-3 in plasma from these patients were similar with median values of 14.0 ng/mL [IQR, 9.9-19.3] and 14.4 ng/mL [IQR, 12.3-19.8] (P = 0.132) in MRA-Neg and MRA-Plus, respectively. Patients with Gal-3 ≤17.8 ng/mL had an HR of 1 (reference group) and 1.5 [0.4-5.7] in MRA-Neg and MRA-Plus, respectively (p=0.509). Patients with Gal-3 ≥ 17.8 ng/mL had an HR of 7.4 [2.2-24.6] and 9.0 [2.9-27.8] in MRA-Plus and MRA-Neg, respectively (p=0.539) and a median survival time of 2.4 years [95%CI,1.8-2.4]. Multivariate Cox proportional hazard analysis confirmed that MRA and the interaction term between MRA treatment and Gal-3 >17.8 ng/mL were not factors associated with survival. MRA treatment did not impair the prognostic value of Gal-3 assessed with a 17.8 ng/mL cut off. Gal-3 levels maintained its strong prognostic value in CHF also in patients treated with MRAs. The significance of the observed lack of an interaction between Gal-3 and treatment effect of MRAs remains to be elucidated.

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.

Huntington’s disease (HD) is a neurodegenerative disorder that manifests with movement dysfunction. The expression of mutant Huntingtin (mHTT) disrupts the functions of brain cells. Galectin-3 (Gal3) is a lectin that has not been extensively explored in brain diseases. Herein, we showed that the plasma Gal3 levels of HD patients and mice correlated with disease severity. Moreover, brain Gal3 levels were higher in patients and mice with HD than those in controls. The up-regulation of Gal3 in HD mice occurred before motor impairment, and its level remained high in microglia throughout disease progression. The cell-autonomous up-regulated Gal3 formed puncta in damaged lysosomes and contributed to inflammation through NFκB- and NLRP3 inflammasome-dependent pathways. Knockdown of Gal3 suppressed inflammation, reduced mHTT aggregation, restored neuronal DARPP32 levels, ameliorated motor dysfunction, and increased survival in HD mice. Thus, suppression of Gal3 ameliorates microglia-mediated pathogenesis, which suggests that Gal3 is a novel druggable target for HD. The authors show that Galectin-3 is up–regulated in brain tissues from patients and a mouse model of Huntington’s disease (HD) and correlates with disease severity. Galectin-3 accumulates at damaged lysosomes in HD microglia, prevents the clearance of damaged lysosomes, and promotes inflammation.

Objectives Experimental studies indicate a role for galectin-1 and galectin-3 in metabolic disease, but clinical evidence from larger populations is limited. Methods We measured circulating levels of galectin-1 and galectin-3 in the Prospective investigation of Obesity, Energy and Metabolism (POEM) study, participants ( n  = 502, all aged 50 years) and characterized the individual association profiles with metabolic markers, including clinical measures, metabolomics, adipose tissue distribution (Imiomics) and proteomics. Results Galectin-1 and galectin-3 were associated with fatty acids, lipoproteins and triglycerides including lipid measurements in the metabolomics analysis adjusted for body mass index (BMI). Galectin-1 was associated with several measurements of adiposity, insulin secretion and insulin sensitivity, while galectin-3 was associated with triglyceride-glucose index (TyG) and fasting insulin levels. Both galectins were associated with inflammatory pathways and fatty acid binding protein (FABP)4 and -5-regulated triglyceride metabolic pathways. Galectin-1 was also associated with several proteins related to adipose tissue differentiation. Conclusions The association profiles for galectin-1 and galectin-3 indicate overlapping metabolic effects in humans, while the distinctly different associations seen with fat mass, fat distribution, and adipose tissue differentiation markers may suggest a functional role of galectin-1 in obesity.