Background: Rapid and accurate discrimination of Mycobacterium avium from other mycobacteria is essential for appropriate therapeutic management and timely intervention for infection control. However, routine clinical identification methods for M. avium are both time consuming and labor intensive. In the present study, matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) was used to identify specific cellular protein pattern for rapid identification of M. avium isolates.
Methods: A total of 40 clinically relevant Mycobacterium strains comprising 13 distinct species were enrolled for the MALDI-TOF MS identification. A 10-minute extraction-free examination procedure was set up to obtain mass spectral fingerprints from whole bacterial cells.
Results: The characteristic mass spectral peak patterns in the m/z (mass/charge ratio) range of 5-20 kDa can be obtained within 10 minutes. The species-specific mass spectra for M. avium is identified and can be differentiated from as Mycobacterium strains. This technique shortens and simplifies the identification procedure of MALDI-TOF MS and may further extend the mycobacterial MALDI-TOF MS database.
Conclusion: Simplicity and rapidity of identification procedures make MALDI-TOF MS an attractive platform in routine identification of mycobacteria. MALDI-TOF MS is applicable for rapid discrimination of M. avium from other Mycobacterium species, and shows its potential for clinical application.
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http://dx.doi.org/10.1016/j.jmii.2013.08.008 | DOI Listing |
Lung Cancer
January 2025
Internal Medicine III, Wakayama Medical University, Wakayama, Japan.
Objectives: The lack of definitive biomarkers presents a significant challenge for chemo-immunotherapy in extensive-stage small-cell lung cancer (ES-SCLC). We aimed to identify key genes associated with chemo-immunotherapy efficacy in ES-SCLC through comprehensive gene expression analysis using machine learning (ML).
Methods: A prospective multicenter cohort of patients with ES-SCLC who received first-line chemo-immunotherapy was analyzed.
Anal Chem
January 2025
Key Laboratory of Laboratory Medicine, Ministry of Education, Zhejiang Provincial Key Laboratory of Medical Genetics, Cixi Biomedical Research Institute, School of Laboratory Medicine and Life sciences, Wenzhou Medical University, Wenzhou 325035, China.
Accurate identification of cancer cells under complex physiological environments holds great promise for noninvasive diagnosis and personalized medicine. Herein, we developed dual-aptamer-based DNA logic-gated series lamp probes (Apt-SLP) by coupling a DNA cell-classifier (DCC) with a self-powered signal-amplifier (SSA), enabling rapid and sensitive identification of cancer cells in a blood sample. DCC is endowed with two extended-aptamer based modules for recognizing the two cascade cell membrane receptors and serves as a DNA logic gate to pinpoint a particular and narrow subpopulation of cells from a larger population of similar cells.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Department of Management, Policy, and Community Health, School of Public Health, The University of Texas Health Science Center, Houston.
Importance: COVID-19 vaccine hesitancy among Black women is a critical public health concern, potentially exacerbating existing health disparities and impacting community-wide vaccination efforts.
Objective: To explore the factors associated with COVID-19 vaccine hesitancy among Black women in the US and identify the specific concerns and experiences shaping hesitant attitudes toward vaccination.
Design, Setting, And Participants: Qualitative study using in-depth, semistructured interviews conducted virtually between June and November 2021.
J Anal Toxicol
December 2024
Department of Pathology, Immunology, and Laboratory Medicine, University of Florida College of Medicine, Gainesville, FL.
Novel psychoactive substances (NPS) have historically been difficult compounds to analyze in forensic toxicology. The identification, detection and quantitation of these analytes and their metabolites has been difficult due to their rapid emergence, short life span and various potencies. Advancements in analytical instrumentation are fundamental to mitigating these NPS challenges by providing reliable identification and sensitivity.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain.
Background: Detecting Alzheimer's disease (AD) biological hallmarks before clinical symptoms emerge is now possible with available blood-based biomarkers. However, the rate of cognitive decline varies among individuals at risk of AD, and accurate prognostic blood-based biomarkers are lacking. Our goal is to identify plasma proteins predictive of fast cognitive decline in asymptomatic individuals at risk of AD.
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