Galectin-3 Performance in Histologic a Cytologic Assessment of Thyroid Nodules: A Systematic Review and Meta-Analysis.

The literature on Galectin-3 (Gal-3) was systematically reviewed to achieve more robust information on its histologic reliability in identifying thyroid cancers and on the concordance between Gal-3 test in histologic and cytologic samples. A computer search of the PubMed and Scopus databases was conducted by combinations of the terms thyroid and Gal-3. Initially, 545 articles were found and, after their critical review, 52 original papers were finally included. They reported 8172 nodules with histologic evaluation of Gal-3, of which 358 with also preoperative FNAC Gal-3 assessment. At histology, Gal-3 sensitivity was 87% (95% confidence intervals [CI] from 86% to 88%), and specificity 87% (95% CI from 86% to 88%); in both cases, we found heterogeneity (I2 85% and 93%, respectively) and significant publication bias (p < 0.001). The pooled rate of positive Gal-3 at fine needle aspiration (FNAC) among cancers with histologically proven Gal-3 positivity was 94% (95% CI from 89% to 97%), with neither heterogeneity (I2 14.5%) nor bias (p = 0.086). These data show high reliability of Gal-3 for thyroid cancer at histology, while its sensitivity on FNAC samples is lower. The limits of cytologic preparations and interpretation of Gal-3 results have to be solved.

Establishing the upper reference limit of Galectin-3 in healthy blood donors.

INTRODUCTION: Galectin-3 (Gal-3) is an independent predictor of poor outcomes and mortality in patients with heart failure (HF). Thus, it has been proposed as a reliable prognostic biomarker for HF. The definition of reference intervals is mandatory for interpreting the findings of experimental studies and encouraging the routine use of biomarkers in clinical practice. To date, no study assessed the reference intervals of Gal-3 and identified the biological variables that affect its concentration in a well-defined healthy population. The aim of this study was to determine the upper reference limit (URL) of Gal-3 in a highly reliable population of healthy subjects. MATERIALS AND METHODS: We recruited 714 blood donors. After measuring surrogate biomarkers to identify underlying diseases, 8 subjects were excluded. A final population of 706 individuals (385 men (54.5%); median age 39 (18-65) years) was included. The URL was calculated using the non-parametric percentile approach. RESULTS: The 97.5th percentile URL of plasma Gal-3 in our study population (90% CI) was 26.1 (23.3-31.5) ng/mL. After stratifying subjects according to age, the URL of Gal-3 was found to be considerably higher in older (> 45 years) than in younger subjects (31.5 (26.2-51.4) vs 21.8 (21-26.1) ng/mL, respectively). No sex-related differences were found in Gal-3 plasma concentration. CONCLUSIONS: We established the URL of Gal-3 in a highly selected healthy population. Our findings indicate that age is an important determinant of Gal-3 plasma concentration, so that multiple diagnostic cut-offs should be preferably used according to the different age classes.

Distribution of circulating cardiac biomarkers in healthy children: from birth through adulthood.

AIM: While circulating biomarkers are critical tools for cardiovascular adult care, their relevance in childhood is unknown. METHODS: We evaluated the behavior of plasma concentrations of clinically relevant cardiac biomarkers (NT-proBNP, hs-cTnI, sST2, Galectin-3) in 106 healthy children. RESULTS: Subjects were divided into age subgroups: 24 newborns (0-30 days), 26 infants (1-12 months), 30 children (1-12 years) and 26 adolescents (13-18 years). Healthy adults were used as control. NT-proBNP (newborns: 504.3 [211.07-942.7] ng/L, median [25-75 percentiles]; infants: 200.64 [76.88-306.73]; children: 97.27 [49.24-271.80]; adolescents: 24.35 [13.14-58.83]; p < 0.001) and hs-cTnI (newborns: 9.3 [3.3-93.8] ng/L; infants: 13.8 [4.82-72.52]; children: 11.45 [4.0-48.10]; adolescents: 2.6[2.07-3.90]; p < 0.001) were highest in the first month of life, showing a decline in the next years. sST2 and Galectin-3 showed no differences. CONCLUSION: Changes in hs-cTnI and NT-proBNP suggest the design of age- and sex-based reference intervals that will have to be explored in a larger population.