Some previous genetic association studies have tried to investigate potential associations between mannose-binding lectin (MBL) polymorphisms and viral hepatitis. However, the results of those studies were not consistent. Therefore, we performed the current meta-analysis to explore associations between MBL polymorphisms and viral hepatitis in a large pooled population. A systematic literature research of PubMed, Web of Science, Embase and CNKI was performed to identify eligible studies for pooled analyses. We used Review Manager version 5.3.3 to conduct statistical analyses. In total, 27 studies were included for analysis (4840 cases and 5729 controls). The pooled analyses showed that MBL promoter (-211C/G, dominant model: P = 0.0002, I2 = 40%; over-dominant model: P = 0.0001, I2 = 22%) and exon 1 (codon 52, 54 and 57, dominant model: P = 0.04, I2 = 49%; allele model: P = 0.01, I2 = 48%) polymorphisms were both significantly associated with viral hepatitis in the overall population. Further subgroup analyses revealed similarly significant findings for MBL promoter polymorphism in HBV and HCV, but no positive results were detected in subgroup analyses for MBL exon 1 polymorphism. These results suggested that MBL promoter and exon 1 polymorphisms could be used to identify individuals at higher susceptibility to HBV and HCV.
Objective. To evaluate and expand the automatic identification and clustering of clinical Bordetella species by MALDI-TOF MS. Methods. Twenty-eight field isolated strains, identified by whole-gene sequencing analysis, were analyzed by MALDI-TOF MS, and the spectra obtained were used to replenish the internal database of the manufacturer. To evaluate and expand the robustness of the database, MALDI-TOF MS identified 91 clinical isolates (except those used for implementation). A distance tree based on mass spectrometry data is constructed to confirm similarity and clusters of each clinical Bordetella species by using the MALDI Biotyper 3.1 software. Results. In this research, when we used the implemented Bruker Daltonics database in our laboratory, 91 clinical isolates were identified at the genus level (100%) and 93.4% were identified at the species level (85/91). We performed proteomics analysis and divided these 91 isolates into cluster I (2.2%) and cluster II (97.8%). The largest group is cluster II ( n = 89 isolates), which has been divided into two subclusters. Trees created by analyzing the protein mass spectra of the three species of the clinical isolates reflected their classification. Conclusion. MALDI-TOF MS may present an attractive alternative to automatically confirm and cluster the fastidious bacteria difficult to culture. Extension of identification of the MALDI-TOF MS database is viably fast, more efficient, and alternative to conventional methods in confirming the classical Bordetella species. This strategy could promote the epidemiological and taxonomic research of this important pathogen.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.