Structural, molecular, functional and immunological characterization of Wuchereria bancrofti-galectin

Genome-Wide Analysis Reveals Key Genes and MicroRNAs Related to Pathogenic Mechanism in Wuchereria bancrofti

Wuchereria bancrofti is a parasite transmitted by mosquitoes and can cause a neglected tropical disease called Lymphatic filariasis. However, the genome of W. bancrofti was not well studied, making novel drug development difficult. This study aims to identify microRNA, annotate protein function, and explore the pathogenic mechanism of W. bancrofti by genome-wide analysis. Novel miRNAs were identified by analysis of expressed sequence tags (ESTs) from this parasite. Protein homology was obtained by a bidirectional best-hit strategy using BLAST. By an EST-based method, we identified 20 novel miRNAs in the genome. The AU content of these miRNAs ranged from 39.7% to 80.0%, with a mean of 52.9%. Among them, 14 miRNA homologs were present in mammal genomes, while six miRNA homologs were present in non-mammal genomes. By conducting a detailed sequence alignment using BLAST, we have successfully annotated the functions of 75 previously unannotated proteins, enhancing our understanding of the proteome and potentially revealing new targets for therapy. Homology distribution analysis indicated that a set of critical proteins were present in parasites and mosquitoes, but not present in mammals. By searching the literature, ten proteins were found to be involved in the pathogenic infection process of W. bancrofti. In addition, the miRNA-gene network analysis indicated that two pathogenic genes (CALR and HMGB2) are regulated by newly identified miRNAs. These genes were supposed to play key roles in the infection mechanism of W. bancrofti. In conclusion, our genome-wide analysis provided new clues for the prevention and treatment of W. bancrofti infection.

A Novel Trichinella spiralis Galectin Strengthens the Macrophage ADCC Killing of Larvae via Driving M1 Polarization

Galectin recognizes β-galactosides through its carbohydrate recognition domains (CRDs). This study aimed to determine the biological features of a novel Trichinella spiralis galectin (galactoside-binding lectin family protein, TsGLFP) and its role in driving macrophage M1 polarization and enhancing ADCC killing of larvae. TsGLFP belongs to the galectin family and has two CRDs. The complete TsGLFP cDNA sequence was cloned and then expressed in Escherichia coli BL21. The results of qPCR, Western blot, and indirect immunofluorescence tests (IIFTs) revealed that TsGLFP was expressed in various stages of T. spiralis worms and principally localized at the cuticle and around the female embryos of the nematode. rTsGLFP had the function of agglutinating mouse erythrocytes, and this agglutination activity could be inhibited by lactose. After the mouse macrophage RAW264.7 was incubated with rTsGLFP, the expression level of the M1 genes (iNOS, IL-6, and TNF-α) and NO production were obviously increased. After incubating macrophages with rTsGLFP, there was a noticeable rise in the expression levels of p-IκB-α and p-NF-κB p65. Additionally, rTsGLFP enhanced the macrophage's ability to kill newborn larvae by ADCC cytotoxicity. When the macrophages were pretreated with the specific p-NF-κB p65 inhibitor PDTC, and then stimulated with rTsGLFP, the expression levels of iNOS, NO, and p-NF-κB p65 and the macrophages' ADCC cytotoxicity were distinctly decreased. These findings indicated that rTsGLFP enhanced the macrophage ADCC killing of larvae by driving M1 polarization through activating the NF-κB pathway.

Contribution of the TIM-3/Gal-9 immune checkpoint to tropical parasitic diseases

Neglected tropical parasitic diseases (NTD) are prevalent in many countries and cost-effective treatments remain urgently needed. Novel approaches have been proposed to address these diseases through an action on immune co-inhibitory checkpoints which are exploited by parasites to evade the immune system. Among these checkpoints, TIM-3 has been shown to play a key role in antiparasitic immunity via a repression and functional attenuation of CD4⁺ and/or CD8⁺ T-cells. The present review discusses the role of the TIM-3/galectin-9 checkpoint in seven major NTD: Chagas disease, leishmaniasis and malaria (3 trypanosomatid infections), schistosomiasis, toxoplasmosis, echinococcosis and filariasis (4 helminth infections). In each case, the role of the checkpoint has been analyzed and the use of anti-TIM-3 antibodies evaluated as a potential therapeutic approach. In general, the parasitic infection is coupled with an upregulation of TIM-3 expressed on T cells, but not necessarily with an exhaustion of those T cells. In several cases, the use of anti-TIM-3 antibodies represent a possible strategy to reinforce the clearance and to reduce the parasite load. Promising data have been reported in cases of leishmaniasis, malaria and schistosomiasis, whereas a similar approach proved much less efficient (if not deleterious) in cases of echinococcosis and the Chagas disease. Nevertheless, the TIM-3 checkpoint warrants further consideration as a potential immune target to combat these pathologies, using antibodies or drugs capable of reducing directly or indirectly the expression and function of the checkpoint, to restore an immune control.

A Computational Perspective on Molecular Recognition by Galectins

This article presents an overview of recent computational studies dedicated to the analysis of binding between galectins and small-molecule ligands. We first present a summary of the most popular simulation techniques adopted for calculating binding poses and binding energies, and then discuss relevant examples reported in the literature for the three main classes of galectins (dimeric, tandem and chimera). We show that simulation of galectin-ligand interactions is a mature field which has proven invaluable for completing and unraveling experimental observations. Future perspectives to further improve the accuracy and cost-effectiveness of existing computational approaches will involve the development of new schemes to account for solvation and entropy effects, which represent the main current limitations to the accuracy of computational results.