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Objective To investigate the relationship between the expression levels of thyroid transcription factor-1(TTF-1)and Galectin-3 in differentiated thyroid carcinoma(DTC)tissues and clinical manifestations and prognosis of patients.Methods A total of 76 DTC patients admitted to the hospital from January 1,2017 to May 30,2020 were selected as the study objects.Cancer tissue specimens obtained during surgery were in-cluded in the DTC group(n=76),and corresponding paracancer tissue specimens were included in the para-cancer group(n=76).The expressions of TTF-1 and Galectin-3 in DTC group and paracancer group were de-tected by immunohistochemistry,and the relationship between the expression levels of TTF-1 and Galectin-3 and the clinicopathological characteristics of DTC patients was analyzed.Multivariate Cox regression analysis was used to investigate the prognostic factors of DTC patients.Results The positive expression rates of TTF-1 and Galectin-3 in DTC group were higher than those in paracancer group,and the difference was statistically significant(P＜0.05).The TTF-1 positive expression rate and Galectin-3 positive expression rate in DTC pa-tients with TNM stage Ⅲ to Ⅳ,low differentiation,tissue type of papillary thyroid carcinoma and lymph node metastasis were higher than those in DTC patients with TNM stage Ⅰ to Ⅱ,medium/high differentiation,tis-sue type of thyroid follicular carcinoma and no lymph node metastasis.The difference was statistically signifi-cant(P＜0.05).The 3-year overall survival rate of TTF-1 negative and Galectin-3 negative DTC patients was higher than that of TTF-1 positive and Galectin-3 positive DTC patients,and the difference was statistically significant(P＜0.05).Multivariate Cox regression analysis showed that lymph node metastasis,positive TTF-1 and positive Galectin-3 were prognostic factors in DTC patients(P＜0.05).Conclusion TTF-1 and Galectin-3 are related to TNM stage,differentiation degree,tissue type,lymph node metastasis and 3-year sur-vival rate of DTC patients,and have important reference value for the diagnosis and prognosis evaluation of DTC patients.
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Objective @#To observe the expression of Galectin⁃3 in peritoneal dialysis ( PD) fluid in patients with different dialysis ages , and to conduct correlation analysis with vascular endothelial growth factor ( VEGF) , fibronectin (FN) and related clinical indicators . @*Methods @#A total of 109 PD patients who were regularly followed up in the department of nephrology were divided into four groups according to different peritoneal dialysis ages . The concentrations of Galectin⁃3 , VEGF and FN were determined by enzyme⁃linked immunosorbent assay . The expression of Galectin⁃3 in peritoneal dialysate of the 4 groups was compared , the correlation with VEGF , FN and clinical related indexes was analyzed , and the correlation was analyzed by Spearman test . @*Results @# The concentration of VEGF in peritoneal dialysis patients in group D significantly increased ( P < 0. 05 ) . Galectin⁃3 expression levels were positively correlated with VEGF ( r = 0. 358 , P = 0. 022) , but not significantly correlated with FN ( r = 0. 121 , P = 0. 452) . Galectin⁃3 was positively correlated with clinical indicators parathyroid hormone (PTH) ( r = 0. 201 , P = 0. 037) , C ⁃reactive protein (CRP) ( r = 0. 357 , P < 0. 001) , left ventricular posterior wall dimensions ( LVPWD) ( r = 0. 213 , P = 0. 026) , and negatively correlated with clinical indicators total cholesterol (TC) ( r = - 0. 316 , P = 0. 001) . @*Conclusion @#The concentration of Galectin⁃3 in the dialysate of long⁃term peritoneal dialysis patients is significantly elevated , indicating that the expression of galectin⁃3 increases with the extension of peritoneal dialysis time , suggesting that the detection of galectin⁃3 levels may be helpful for the evaluation of early peritoneal fibrosis . The positive correlation with VEGF may suggest its role in promoting peritoneal angiogenesis and fibrosis . Moreover , it is positively correlated with clinical indicators PTH , CRP and LVPWD , suggesting that it has certain clinical guiding significance on microinflammatory state and myocardial remodeling .
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Background: Galectin-3 has an important role in metastasis, therefore, Galectin-3-focused therapies have attracted attention for various cancers. Aim: We aimed to reveal the relationship between the expression of Galectin-3 within the tumor/cancer-associated fibroblasts (CAF) and clinicopathological parameters in patients with invasive ductal carcinomas. Materials and Methods: Hematoxylin and eosin-stained slides of breast excision materials diagnosed between 2010 and 2016 were re-examined retrospectively. Accordingly, 118 cases (luminal group = 58, Human epidermal growth factor receptor 2 (HER2) group = 27, and triple-negative breast carcinoma group [TNBC] =33 cases) were included. Galectin-3 levels were evaluated with a calculated H-score in tumor and semiquantitatively in CAFs. Statistical Analysis: Data was analyzed with t-tests and Chi-square tests. Kaplan–Meier and Log-rank tests were used for survival analysis. Results: The presence of Galectin-3 expression in CAFs but not in the tumor was associated with the greater number of axillary metastatic nodes and advanced pN stage. The loss of Galectin-3 expression in CAFs was more frequent in TNBC. There was no significant relationship between the expression level of Galectin-3 and survival status. However, in most of the cases with distant metastasis or patients who died, Galectin-3 was negative in the tumor, whereas it was positive in CAFs. Conclusions: The expression of Galectin-3 in tumors and CAFs may have a role in metastasis to axillary lymph nodes and distant sites. In terms of molecular subtype, TNBCs show a relationship with Galectin-3 negativity in CAFs.
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Ischemic stroke is a disease with high incidence, high disability and high mortality rates. As a key regulator of microglia activation and proliferation, galectin-3 may have dual effects on ischemic stroke. This article reviews the structure and function of galectin-3, as well as its roles in ischemic stroke.
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Objective:To investigate the effect of galectin-3 (gal-3) on microglia polarization after subarachnoid hemorrhage (SAH).Methods:C57BL/6 male adult mice were used to induce SAH or sham operation models. Gal-3 siRNA or negative control siRNA was injected into the lateral ventricle 48 h before the model was induced. After 24 h of model preparation, the SAH score, neurological function score, brain water content, and Evans blue exudate were measured. Western blot analysis was used to detect the expressions of M1 phenotypic markers (inducible nitric oxide synthase [iNOS], CD11b, tumor necrosis factor [TNF]-α) and M2 phenotype markers (CD206, YM1/2, arginase-1 [Arg1]).Results:After using Gal-3 siRNA to inhibit Gal-3, the neurological function score significantly increased, while the SAH score, brain water content, and Evans blue exudate significantly decreased ( P<0.001). Western blot analysis showed that the expressions of M1 phenotypic markers (iNOS, CD11b and TNF-α) in microglia were significantly decreased after Gal-3 inhibition, while the expressions of M2 phenotypic markers (CD206, YM1/2 and Arg1) were significantly increased ( P<0.001). Conclusion:Inhibition of Gal-3 expression can alleviate the early brain injury after SAH, and its mechanism may be associated with regulating the polarization of microglia from M1 to M2 phenotype.
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Objective:To study the effects of modified citrus pectin (MCP) on the viability and gene expressions of synovial fibroblasts (SF) as well as SF treated by galectin-3 (Gal-3).Methods:Rabbit SF was isolated and cultured in vitro. Then SF was treated with different concentrations of MCP (0, 250, 500, and 750 mg/L). In addition, SF was further treated with the same different concentrations of MCP after treatment with 10 μg/ml Gal-3 for 24 h. The viability of SF was detected by CCK-8 on the first, third, and fifth day after treatment. The mRNA expression of transforming growth factor-β1 (TGF-β1), type I collagen (COL1A2), and Gal-3 in SF was detected by real-time quantitative PCR. The synthesis of type I collagen in SF was investigated by immunofluorescence staining. Results:MCP, especially at a concentration of 500 mg/L can inhibit the proliferation of SF significantly (all P < 0.05) on the first, third, and fifth day after treatment. Compared with the control group, MCP at different concentrations induced different gene expression profiles. In particular, MCP at high concentrations can upregulate the expression of TGF-β1, COL1A2 and Gal-3 in SF. However, MCP shows no significant effect on the synthesis of type I collagen in SF. MCP can down-regulate the expression of TGF-β1, COL1A2, and significantly reduce the synthesis of type I collagen in SF after Gal-3 treatment. Particularly, the effect of MCP at a concentration of 500 mg/L on inhibiting the expression of TGF-β1, COL1A2, and Gal-3 in SF is significant. Conclusions:MCP can inhibit the excessive proliferation of SF and regulate gene expression in SF.
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Objective:To investigate the effect of galactose lectin 3 (Gal-3) on the pathogenesis of atrial fibrillation.Methods:This study adopts a case-control study method. 55 patients with non valvular atrial fibrillation (atrial fibrillation group) admitted to the First People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine from February to July 2019 were selected, and another 55 healthy individuals who underwent physical examination at our hospital during the same period were selected as the control group. Compare the general data and levels of various laboratory indicators between two groups, including blood routine, fasting blood glucose, blood lipids, liver and kidney function, and plasma Gal-3. Analyze the influencing factors of atrial fibrillation and the predictive value of plasma Gal-3 levels for the onset of atrial fibrillation. The measurement data with normal distribution and the measurement data converted to normal distribution after taking natural logarithm are expressed in xˉ± s. The comparison between the two groups is performed by independent sample t test; The measurement data of non normal distribution is represented by [ M ( Q1, Q3)], and Wilcoxon signed rank sum test is used for inter group comparison; The counting data is represented by examples (%), and the comparison between groups is conducted using χ 2 test. The influencing factors of atrial fibrillation were analyzed using logistic regression analysis. Results:The age, NLR, and blood creatinine levels in the atrial fibrillation group were higher than those in the control group [(71.16±9.17) years vs (60.71±10.11) years, (2.32±0.85) vs (1.74±0.81), (74.18±21.61) μmol/L vs (64.69±18.30) μmol/L, t-values are 5.68, 3.66, 2.48, P-values are <0.001, <0.001, 0.015], total cholesterol, HDL-C, LDL-C Albumin and eGFR water were on average lower than those in the control group [(4.31±1.67) mmol/L vs (5.13±0.78) mmol/L, (0.96±0.21) mmol/L vs (1.21±0.32) mmol/L, (2.35±0.65) mmol/L vs (3.04±0.62) mmol/L, (39.58±3.83) g/L vs (44.66±5.61) g/L, (94.84±29.22) mL/(min·1.73 m 2) vs (111.77±21.51) mL/(min·1.73 m 2)] ,The t-values are 3.30, 4.87, 5.69, 5.54, 3.46, and the P-values are 0.001,<0.001,<0.001,<0.001, 0.001, respectively. The plasma Gal-3 levels in the atrial fibrillation group were higher than those in the control group [(12.79±4.24)] μg/L vs (7.31±2.28) μg/L], the difference was statistically significant ( t=8.43, P<0.001), and the plasma Gal-3 level in the persistent atrial fibrillation group was higher than that in the paroxysmal atrial fibrillation group [(14.03±3.95) μg/L vs (11.51±4.21) μg/L], the difference was statistically significant ( t=2.29, P=0.026). The results of multivariate logistic regression analysis showed that after excluding other factors, Gal-3 remained an independent influencing factor for atrial fibrillation (odds ratio=1.66, 95% confidence interval: 1.29-2.12, P<0.001). Conclusions:Plasma Gal-3 is an influencing factor for the onset of atrial fibrillation. After excluding other factors, Gal-3 remains an independent influencing factor for atrial fibrillation, with an increase of 1 μg/L in Gal-3 increases the risk of atrial fibrillation by 1.66 times.
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Galectin-3 (Gal-3) belongs to the galectin family and is specific in binding β-galactoside. Through its C-terminal domain, Gal-3 binds to the galactoside group of the glycosylated insulin receptor (IR) and inhibits IR signaling pathway, which leads to the insulin resistance. Thus, Gal-3 is a potential therapeutic target for the treatment of insulin resistance and type 2 diabetes. Here we report a simple Gal-3 screening model based on the property that Gal-3 binds to the galactoside. We expressed and purified human Gal-3 in Escherichia coli (E.coli), and labeled it with fluorescein isothiocyanate (FITC) in vitro. After incubating FITC labeled Gal-3 (Gal-3-FITC) with PANC-1 cells, which express glycosylated membrane protein, PANC-1 cells started to show green fluorescent signal due to the Gal-3-FITC binding to the glycosylated membrane protein. Gal-3 inhibitor disrupts the binding of Gal-3-FITC and PANC1 cells, subsequently leads to the decrease of the fluorescent signal in PANC-1 cells. We can evaluate the inhibitory efficiency of Gal-3 inhibitors through measurement of the fluorescent signal. Further studies show this model is simple, stable, and repeatable with a Z' factor between 0.7 and 0.85. In sum, we have successfully established an in vitro high-throughput screening model for Gal-3 inhibitors.
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Objective @#To investigate the effects of D ⁃allose on the restoration of neurological function , Galectin⁃3 (Gal⁃3) , adenosine monophosphate⁃activated protein kinase/mammalian target of rapamycin (AMPK/mTOR) and the expression of some inflammatory factors in ischemia⁃reperfusion injury ( CIRI) mice . @*Methods @#A total of 50 male mice were randomly divided into control group (Con group) , sham group (Sham group) , cerebral ischemia⁃reperfusion injury group (MCAO group) , cerebral ischemia⁃reperfusion injury + D ⁃alolose group (MCAO + D ⁃allose group) and cerebral ischemia⁃reperfusion injury + modified citrus pectin group (MCAO + MCP group) . The middle cerebral artery occlusion/reperfusion (MCAO/R) model (reperfusion after 2 hours of MCA ischemia) was established by thread embolism . After successful modeling , the neurological function of mice was evaluated Longa score and rotated rod walking . TTC staining was used to observe the volume of cerebral infarction foci . The expression levels of Gal⁃3 and autophagy⁃related molecules were detected by Western blot and RT⁃PCR . Immunofluorescence was applied to detect the distribution of Gal⁃3 in brain tissue , and TNF⁃α , IL⁃8 secretion was detected with ELISA KIT . @*Results @#Compared with Con group and Sham group , the MCAO model represented significant increase in the Longa neurofunction score (P < 0. 01) , cerebral infarction volume ( P < 0. 01) , Gal⁃3 expression and manifasted enhanced autophagy (P < 0. 01) . After treatment with D ⁃allose , it could significantly improve neurological dysfunction , reduce cerebral infarction volume (P < 0. 01) , reduce the expression of Gal⁃3 ( P < 0. 01) , inhibit AMPK phosphorylation , promote mTOR phosphorylation , and inhibit autophagy (P < 0. 01) . The use of the Gal⁃3 inhibitor MCP alone could also achieve the effect of inhibiting autophagy . @*Conclusion @# D ⁃allose can effectively promote the recovery of neurological function and reduce the volume of infarct foci in CIRI mice . The mechanism may involve inhibiting excessive cell autophagy by downregulating the expression of Gal⁃3 , and reducing the release of inflammatory factors such as TNF⁃α and IL⁃8 , thereby exerting neuroprotective effects .
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SUMMARY OBJECTIVE: Sepsis and septic shock are clinical conditions with high mortality and an ever-increasing prevalence, and early diagnosis is of great importance in treating these diseases. Increase in serum Galectin-3 protein in septic patients is associated with increased inflammation, which in turn is associated with mortality. This study aimed to investigate the diagnostic importance of serum Galectin-3 levels and its relationship with in-hospital mortality in sepsis and septic shock patients. METHODS: This prospective cohort study included 44 sepsis and 44 septic shock patients. Sequential Organ Failure Assessment score and Acute Physiology and Chronic Health Evaluation 2 score were calculated. In addition, routine clinical and laboratory parameters along with serum Galectin-3 were evaluated. RESULTS: Serum Galectin-3 levels were significantly higher in the septic shock group [4.1 (0.1-10.2) vs. 6.0 (0.1-11.3) ng/mL, respectively; p=0.01]. Moreover, patients with a Galectin-3 level <6.94 ng/mL were associated with longer survival [31.4 vs. 23.1 days; hazards ratio, 1.85; 1.03-3.34, p=0.03]. More importantly, the need for mechanical ventilation, the duration of mechanical ventilation, and serum Galectin-3 levels were independent prognostic factors and predicted poor in-hospital survival in both sepsis and septic shock patients. CONCLUSION: These findings suggest that Galectin-3 levels are higher in septic shock patients and predict mortality. In addition, high serum Galectin-3 levels, together with mechanical ventilation requirement and mechanical ventilation duration, are closely associated with poor in-hospital survival. Therefore, Galectin-3 may be a valuable diagnostic and prognostic biomarker in these patients.