3/10/2024 0 Comments Maldi tof ms tick identificationWe set up the criteria for the inclusion and exclusion of the literature. There are no restrictions on the language, publication status and geographical distribution of publications. We read the titles and abstracts of each searched publication and selected only those relevant articles for full-text reading. EndNote X8 (Thomson Reuters) was used for literature management. The meta-analysis was performed by referring to (when appropriate) the PRISMA guidelines. The references cited in these articles were examined to determine other articles. Selected articles contained studies involving the identification of anaerobes by MALDI-TOF MS. The scientific literature was extensively searched using the MeSH terms “maldi-ms” and “anaerobic bacteria” to query the electronic database of Medline and Web of science (up to 1 April 2018). The aim of the present meta-analysis is to determine the reliability and effectiveness of mass spectrometry as a routine diagnostic method for anaerobic bacteria by searching related publications in the literature. At present, there are few studies to evaluate the efficacy of identifying anaerobic bacteria by MALDI-TOF MS. It is a useful, fast and accurate tool for routine laboratory analysis and has been used to identify mycobacteria, nocardia, yeasts and anaerobes isolated from solid media of clinical specimens. MALDI-TOF MS is a rapid mass spectrometry technology developed in the late 1980s with relatively high sensitivity to various samples types. It is gradually replacing the traditional identification methods. As an emerging technology, matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) has been widely used in clinical microbial diagnosis in the past decade. The modern mass spectrometry technology enhances the understanding about the whole biological system through direct analysis of biological molecules such as proteins, lipids, carbohydrates and amino acids, which has been applied to the field of life science. Real-time, fast, high-throughput, high-sensitivity, high-selectivity, and low cost have been the goals pursued by analysts in modern analytical science. Meanwhile, it is difficult to identify rare or newly identified species by using conventional phenotyping methods and commercial kits. In addition, the identification work is complex, including colony traits, colony morphology, and staining results. It requires a long-term cultivation (not less than 24 h) to obtain enough inocula. Conventional anaerobe identification methods are cumbersome, time-consuming, and costly. Thus, the accurate and fast identification of anaerobic bacteria is pivotal to prompt antimicrobial treatments. Invasive anaerobic infections are life threatening, and the mortality rate of anaerobic bacteremia is high as 40%. Anaerobic infection can also be induced by deep wounds accompanied with facultative anaerobes and aerobic bacteria invasion. However, this method still suffers from different drawbacks in precise identification of rare anaerobe and species levels of common anaerobic bacteria.Īnaerobic bacteria exist as part of the normal flora in the human intestinal tract, oral cavity and urogenital tract, and can cause infectious diseases as a result of impairment to the microenvironment and/or immune system. Our research showed that MALDI-TOF-MS was satisfactory in genus identification of clinical pathogenic anaerobic bacteria. The identification accuracy rate was 90% for VITEK MS vs. Meanwhile, the overall capabilities of two MALDI-TOF MS systems were different. and Peptostreptococcus spp., and their correct identification rates were all above 90%, while the accuracy of rare anaerobic bacteria was relatively low. ![]() Thereinto, the identification accuracy of Bacteroides was the highest at 96% with a 95% CI of 95–97%, followed by Lactobacillus spp., Parabacteroides spp., Clostridium spp., Propionibacterium spp., Prevotella spp., Veillonella spp. Statistical analyses were performed by using STATA 12.0. Fixed-effects models based on the P-value and the I-squared were used for meta-analysis to consider the possibility of heterogeneity between studies. Twenty-eight studies covering 6685 strains of anaerobic bacteria were included in this meta-analysis. To validate the efficacy of MALDI-TOF MS in identification of clinical pathogenic anaerobes. Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) has been rapidly developed and widely used as an analytical technique in clinical laboratories with high accuracy in microorganism identification.
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