The Experts below are selected from a list of 39258 Experts worldwide ranked by ideXlab platform

David R Goodlett - One of the best experts on this subject based on the ideXlab platform.

  • rapid Microbial Identification and colistin resistance detection via maldi tof ms using a novel on target extraction of membrane lipids
    Scientific Reports, 2020
    Co-Authors: Matthew Sorensen, Lisa M Leung, Courtney E Chandler, David R Goodlett, Francesca M Gardner, Salma Ramadan, Prasanna D Khot, Christine E Farrance
    Abstract:

    Rapid infection diagnosis is critical to improving patient treatment and outcome. Recent studies have shown Microbial lipids to be sensitive and selective biomarkers for identifying bacterial and fungal species and antiMicrobial resistance. Practical procedures for Microbial lipid biomarker analysis will therefore improve patient outcomes and antiMicrobial stewardship. However, current lipid extraction methods require significant hands-on time and are thus not suited for direct adoption as a clinical assay for Microbial Identification. Here, we have developed a method for lipid extraction directly on the surface of stainless-steel matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) plates, termed fast lipid analysis technique or FLAT, which facilitates the Identification of bacterial and fungal species using a sub-60-minute workflow. Additionally, our method detects lipid A modifications in Gram-negative bacteria that are associated with antiMicrobial resistance, including to colistin.

  • model based spectral library approach for bacterial Identification via membrane glycolipids
    Analytical Chemistry, 2019
    Co-Authors: Courtney E Chandler, Robert K Ernst, David R Goodlett, George A Wendt
    Abstract:

    By circumventing the need for a pure colony, MALDI-TOF mass spectrometry of bacterial membrane glycolipids (lipid A) has the potential to identify microbes more rapidly than protein-based methods. However, currently available bioinformatics algorithms (e.g., dot products) do not work well with glycolipid mass spectra such as those produced by lipid A, the membrane anchor of lipopolysaccharide. To address this issue, we propose a spectral library approach coupled with a machine learning technique to more accurately identify microbes. Here, we demonstrate the performance of the model-based spectral library approach for Microbial Identification using approximately a thousand mass spectra collected from multi-drug-resistant bacteria. At false discovery rates < 1%, our approach identified many more bacterial species than the existing approaches such as the Bruker Biotyper and characterized over 97% of their phenotypes accurately. As the diversity in our glycolipid mass spectral library increases, we anticipate...

  • rapid Microbial Identification and antibiotic resistance detection by mass spectrometric analysis of membrane lipids
    Analytical Chemistry, 2019
    Co-Authors: Tao Liang, Lisa M Leung, Belita Opene, William E Fondrie, Young In Lee, Courtney E Chandler, Sung Hwan Yoon, Yohei Doi, Robert K Ernst, David R Goodlett
    Abstract:

    Infectious diseases have a substantial global health impact. Clinicians need rapid and accurate diagnoses of infections to direct patient treatment and improve antibiotic stewardship. Current technologies employed in routine diagnostics are based on bacterial culture followed by morphological trait differentiation and biochemical testing, which can be time-consuming and labor-intensive. With advances in mass spectrometry (MS) for clinical diagnostics, the U.S. Food and Drug Administration has approved two Microbial Identification platforms based on matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) MS analysis of Microbial proteins. We recently reported a novel and complementary approach by comparing MALDI-TOF mass spectra of Microbial membrane lipid fingerprints to identify ESKAPE pathogens. However, this lipid-based approach used a sample preparation method that required more than a working day from sample collection to Identification. Here, we report a new method that extracts lipid...

Yogesh S Shouche - One of the best experts on this subject based on the ideXlab platform.

  • matrix assisted laser desorption ionization time of flight mass spectrometry maldi tof ms based Microbial Identifications challenges and scopes for Microbial ecologists
    Frontiers in Microbiology, 2016
    Co-Authors: Praveen Rahi, Om Prakash, Yogesh S Shouche
    Abstract:

    Matrix-assisted laser desorption/ionization time-of-flight mass-spectrometry (MALDI-TOF MS) based biotyping is an emerging technique for high-throughput and rapid Microbial Identification. Due to its relatively higher accuracy, comprehensive database of clinically important microorganisms and low-cost compared to other Microbial Identification methods, MALDI-TOF MS has started replacing existing practices prevalent in clinical diagnosis. However, applicability of MALDI-TOF MS in the area of Microbial ecology research is still limited mainly due to the lack of data on non-clinical microorganisms. Intense research activities on cultivation of Microbial diversity by conventional as well as by innovative and high-throughput methods has substantially increased the number of Microbial species known today. This important area of research is in urgent need of rapid and reliable method(s) for characterization and de-replication of microorganisms from various ecosystems. MALDI-TOF MS based characterization, in our opinion, appears to be the most suitable technique for such studies. Reliability of MALDI-TOF MS based Identification method depends mainly on accuracy and width of reference databases, which need continuous expansion and improvement. In this review, we propose a common strategy to generate MALDI-TOF MS spectral database and advocated its sharing, and also discuss the role of MALDI-TOF MS based high-throughput Microbial Identification in Microbial ecology studies.

Andrew E Simor - One of the best experts on this subject based on the ideXlab platform.

Brigid Lucey - One of the best experts on this subject based on the ideXlab platform.

Tomohiro Nakayama - One of the best experts on this subject based on the ideXlab platform.

  • current status of matrix assisted laser desorption ionization time of flight mass spectrometry maldi tof ms in clinical diagnostic microbiology
    Molecules, 2020
    Co-Authors: Sachio Tsuchida, Hiroshi Umemura, Tomohiro Nakayama
    Abstract:

    Mass spectrometry (MS), a core technology for proteomics and metabolomics, is currently being developed for clinical applications. The Identification of microorganisms in clinical samples using matrix-assisted laser desorption/ionization–time-of-flight mass spectrometry (MALDI-TOF MS) is a representative MS-based proteomics application that is relevant to daily clinical practice. This technology has the advantages of convenience, speed, and accuracy when compared with conventional biochemical methods. MALDI-TOF MS can shorten the time used for Microbial Identification by about 1 day in routine workflows. Sample preparation from Microbial colonies has been improved, increasing the accuracy and speed of Identification. MALDI-TOF MS is also used for testing blood, cerebrospinal fluid, and urine, because it can directly identify the microorganisms in these liquid samples without prior culture or subculture. Thus, MALDI-TOF MS has the potential to improve patient prognosis and decrease the length of hospitalization and is therefore currently considered an essential tool in clinical microbiology. Furthermore, MALDI-TOF MS is currently being combined with other technologies, such as flow cytometry, to expand the scope of clinical applications.