Combined effect of serum N-terminal pro-brain natriuretic peptide and galectin-3 on prognosis 1 year after ischemic stroke

Association between galectin-3 and the prognosis of patients with stroke: A meta-analysis of observational studies

AIM

This meta-analysis aimed to investigate the prognostic value of galectin-3 among patients with stroke.

DATA SYNTHESIS

Electronic databases, such as PubMed, Web of Science, Embase, Cochrane, and Clinical Trials, were utilized for conducting searches from database inception to November 2022. Two reviewers independently screened the papers, extracted the data, and used the Newcastle-Ottawa Scale to determine the risk of bias. Stata 17 was employed to conduct the meta-analysis, while the funnel plot was utilized to identify potential publication bias. Subgroup and meta-regression analyses were employed to examine the sources of heterogeneity. Nine studies that satisfied the inclusion criteria were included. Galectin-3 levels were higher post-stroke in patients with poor outcomes and mortality compared to those in patients with good outcomes (standardized mean difference [SMD], 2.83; 95 % confidence interval [CI], 1.25-4.40; P<0.001) and stroke survivors (SMD, 1.18; 95 % CI, 0.96-1,39; P< 0.001), and elevated galectin-3 levels were associated with poor stroke outcomes (odds ratio [OR], 1.19; 95 % CI, 1.06-1.33; P<0.001). Further, higher post-stroke galectin-3 levels were associated with a higher risk of mortality (OR, 1.16; 95 % CI, 1.08-1.25; P<0.001), and this relationship was maintained after trim-and-fill analyses (OR, 1.14; 95 % CI, 1.06-1.22).

CONCLUSIONS

Galectin-3 levels post-stroke are increased in patients with a poor prognosis, and this elevation is associated with poor stroke outcomes and mortality. It is recommended that further high-caliber investigations with expanded sample sizes corroborate the outcomes of this study.

Galectin-3 is associated with the functional outcome and mortality in stroke patients: A systematic review and meta-analysis

Introduction

There is still a lack of sensitive predictive tools for stroke outcomes. High galectin-3 concentration is associated with an increased risk of stroke. This study investigated the relationship between blood galectin-3 levels and stroke prognosis.

Methods

The PubMed, EMBASE, and Cochrane Library databases were searched as of May 2021. Data from eligible studies on the relationship between galectin-3 and stroke prognosis were extracted for the meta-analysis.

Results

The outcomes included the modified Rankin Scale (mRS), mortality rate, and prognostic accuracy of galectin-3 on mRS after stroke. Odds ratio (OR) and 95% CI were used to assess the association between galectin-3 and the prognostic outcomes. Subgroup analysis based on the study design was performed to evaluate the correlation of galectin-3 with mRS and mortality. A random-effects model was adopted for this meta-analysis. A total of 5 studies involving 3607 stroke patients were included. Higher serum galectin-3 level was associated with mRS (OR [95% CI]: 2.02 [1.08, 3.77]) and mortality (OR [95% CI]: 2.17 [1.17, 4.02]) after stroke. Subgroup analysis revealed a similar relationship between galectin-3 and mRS for both prospective and retrospective studies. There were no associations between galectin-3 level and mortality rate in prospective studies. Galectin-3 had a good predictive ability on mRS after stroke (AUC: 0.88, 95% CI:0.85, 0.91).

Conclusion

Elevated blood galectin-3 levels were associated with prognostic outcomes after stroke, including functional outcome mRS and mortality rate. Moreover, galectin-3 had a good predictive ability for the prognosis of stroke.

Galectin-3, a rising star in modulating microglia activation under conditions of neurodegeneration

The advent of high-throughput single-cell transcriptomic analysis of microglia has revealed different phenotypes that are inherently associated with disease conditions. A common feature of some of these activated phenotypes is the upregulation of galectin-3. Representative examples of these phenotypes include disease-associated microglia (DAM) and white-associated microglia (WAM), whose role(s) in neuroprotection/neurotoxicity is a matter of high interest in the microglia community. In this review, we summarise the main findings that demonstrate the ability of galectin-3 to interact with key pattern recognition receptors, including, among others, TLR4 and TREM2 and the importance of galectin-3 in the regulation of microglia activation. Finally, we discuss increasing evidence supporting the involvement of this lectin in the main neurodegenerative diseases, including Alzheimer's disease, Parkinson's disease, Huntington's disease, amyotrophic lateral sclerosis, multiple sclerosis, traumatic brain injury, and stroke.