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Matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) has been used in the field of clinical microbiology since 2010. Compared with the traditional technique of biochemical identification, MALDI-TOF MS has many advantages, including convenience, speed, accuracy, and low cost. The accuracy and speed of identification using MALDI-TOF MS have been increasing with the development of sample preparation, database enrichment, and algorithm optimization. MALDI-TOF MS has shown promising results in identifying cultured colonies and rapidly detecting samples. MALDI-TOF MS has critical research applications for the rapid detection of highly virulent and drug-resistant pathogens. Here we present a scientific review that evaluates the performance of MALDI-TOF MS in identifying clinical pathogenic microorganisms. MALDI-TOF MS is a promising tool in identifying clinical microorganisms, although some aspects still require improvement.

After the outbreak of SARS-CoV-2, nucleic acid testing quickly entered people’s lives. In addition to the polymerase chain reaction (PCR) which was commonly used in nucleic acid testing, isothermal amplification methods were also important nucleic acid testing methods. Among several common isothermal amplification methods like displaced amplification, rolling circle amplification, and so on, recombinase polymerase amplification (RPA) was recently paid more attention to. It had the advantages like a simple operation, fast amplification speed, and reaction at 37-42°C, et al. So it was very suitable for field detection. However, there were still some disadvantages to RPA. Herein, our review mainly summarized the principle, advantages, and disadvantages of RPA. The specific applications of RPA in bacterial detection, fungi detection, virus detection, parasite detection, drug resistance gene detection, genetically modified food detection, and SARS-CoV-2 detection were also described. It was hoped that the latest research progress on RPA could be better delivered to the readers who were interested in RPA.

Why the global health project to avert emerging microbes continually fails In 1989, a group of U.S. government scientists met to discuss some surprising findings: new diseases were appearing around the world, and viruses that they thought long vanquished were resurfacing. Their appearance heralded a future perpetually threatened by unforeseeable biological risks, sparking a new concept of disease: the \"emerging microbe.\" With the Cold War nearing its end, American scientists and security experts turned to confront this new \"enemy,\" redirecting national security against its risky horizons. In order to be fought, emerging microbes first needed to be made perceptible; but how could something immaterial, unknowable, and ever mutating be coaxed into visibility, knowability, and operability? Microbial Resolution charts the U.S.-led war on the emerging microbe to show how their uncertain futures were transformed into objects of global science and security. Moving beyond familiar accounts that link scientific knowledge production to optical practices of visualizing the invisible, Gloria Chan-Sook Kim develops a theory of \"microbial resolution\" to analyze the complex problematic that arises when dealing with these entities: what can be seen when there is nothing to see? Through a syncretic analysis of data mining, animal-tracking technologies, media networks, computer-modeled futures, and global ecologies and infrastructures, she shows how a visual impasse-the impossibility of seeing microbial futures-forms the basis for new modes of perceiving, knowing, and governing in the present. Timely and thought provoking, Microbial Resolution opens up the rich paradoxes, irreconcilabilities, and failures inherent in this project and demonstrates how these tensions profoundly animate twenty-first-century epistemologies, aesthetics, affects, and ecologies.

BackgroundChronic obstructive pulmonary disease (COPD) significantly impacts global health, primarily due to frequent acute exacerbations caused by respiratory infections. Precise microbial characterization may inform prognostic insights and optimize clinical management.MethodsWe conducted a prospective observational study from December 2023 to February 2025 involving 1146 patients (259 COPD; 887 non-COPD) with suspected respiratory infections. Bronchoalveolar lavage fluid samples underwent next-generation sequencing (NGS) and conventional microbiological testing. Multivariate logistic regression identified COPD predictors, and machine learning modeled prognostic outcomes based on microbial profiles.ResultsDistinct pathogen distributions emerged between COPD and non-COPD groups, with COPD patients exhibiting higher prevalence of gram-negative bacteria, particularly Pseudomonas aeruginosa and Haemophilus influenzae, and fungal pathogens. Non-COPD patients demonstrated increased occurrence of atypical pathogens, notably Mycoplasma pneumoniae. COPD patients also presented higher loads of traditionally commensal microorganisms, such as Veillonella parvula and Schaalia odontolytica. Age, dyspnea, smoking duration, elevated leukocyte and neutrophil counts, and decreased lymphocyte levels were significantly associated with COPD presence. Machine learning identified specific microorganisms as strong predictors of adverse outcomes, such as SARS-CoV-2, Veillonella parvula, and Achromobacter xylosoxidans.ConclusionsComprehensive microbial profiling using NGS effectively distinguishes pathogen differences between COPD and non-COPD patients, revealing key associations with clinical prognosis. These insights can inform tailored clinical interventions aimed at mitigating COPD exacerbations and improving patient outcomes.

Pathogenic microorganisms can lead to serious outbreaks of foodborne illnesses, particularly if fresh produce becomes contaminated and then happens to be inappropriately handled in a manner that can incubate pathogens. Pathogenic microbial contamination of produce can occur through a variety of pathways, such as from the excrement of domesticated and wild animals, biological soil amendment, agricultural water, worker health and hygiene, and field tools used during growth and harvest. The use of mature manure compost and preventative control of fecal contamination from wildlife and livestock are subject to safety standards to minimize the risk of foodborne illness associated with produce. However, in a field production environment, neither traces of animal feces nor the degree of maturity of manure compost can be identified by the naked eye. In this study, we investigated hyperspectral fluorescence imaging techniques to characterize fecal samples from bovine, swine, poultry, and sheep species, and to determine feasibilities for both detecting the presence of animal feces as well as identifying the species origin of the feces in mixtures of soil and feces. In addition, the imaging techniques were evaluated for assessing the maturity of manure compost. The animal feces exhibited dynamic and unique fluorescence emission features that allowed for the detection of the presence of feces and showed that identification of the species origin of fecal matter present in soil-feces mixtures is feasible. Furthermore, the results indicate that using simple single-band fluorescence imaging at the fluorescence emission maximum for animal feces, simpler than full-spectrum hyperspectral fluorescence imaging, can be used to assess the maturity of manure compost.

Acute septic arthritis is on the rise among all patients. Acute septic arthritis must be extensively assessed, identified, and treated to prevent fatal consequences. Antimicrobial therapy administered intravenously has long been considered the gold standard for treating acute osteoarticular infections. According to clinical research, parenteral antibiotics for a few days, followed by oral antibiotics, are safe and effective for treating infections without complications. This article focuses on bringing physicians up-to-date on the most recent findings and discussions about the epidemiology, etiology, diagnosis, and treatment of acute septic arthritis. In recent years, the emergence of antibiotic-resistant, particularly aggressive bacterial species has highlighted the need for more research to enhance treatment approaches and develop innovative diagnosis methods and drugs that might combat better in all patients. This article aims to furnish radiologists, orthopaedic surgeons, and other medical practitioners with contemporary insights on the subject matter and foster collaborative efforts to improve patient outcomes. This review represents the initial comprehensive update encompassing patients across all age groups.

Background Developing highly sensitive, simple, and rapid detection techniques for the accurate detection of foodborne pathogens is critical for food safety. This study designed a microfluidic chip integrating recombinase polymerase amplification (RPA) and colloidal gold lateral chromatography for the visual detection of three high‐risk foodborne pathogens: Escherichia coli O157:H7, Vibrio parahaemolyticus (VP), and Vibrio cholerae (VC). Methods A lateral flow microfluidic chip was fabricated by integrating a chromatography test strip with a laser‐ablated microfluidic structure. RPA primers targeting the rfbE gene of E. coli O157:H7, the toxR gene of VP, and the ctxA gene of V. cholerae were designed. The RPA products were validated by agarose gel electrophoresis, followed by optimization of the primer concentration, temperature, and reaction time. Results The chip detected pathogens via RPA (at 40°C for 20 min) and a visual readout was obtained within 10 min, achieving 102 CFU/mL detection sensitivity for all three pathogens with high specificity, reproducibility, and stability. Conclusion This microfluidic chip‐based method enables portable on‐site foodborne pathogen detection without the need for costly thermal cyclers/signal readers, thereby maintaining accuracy and affordability. This study designed a microfluidic chip integrating recombinase polymerase amplification (RPA) and colloidal gold lateral chromatography for the visual detection of three high‐risk foodborne pathogens. This portable microfluidic chip‐based approach enables on‐site detection of foodborne pathogens with high specificity, reproducibility, and stability. FITC, fluorescein isothiocyanate.

This outstanding overview sets a new standard for a methods book on pathogen detection. The first chapter provides an outline of currently used routine methods, including their background, strengths and weaknesses, as well as comparing them to newer methods.

An \"exosome\" is a nanoscale membrane vesicle derived from cell endocytosis that functions as an important intercellular communication mediator regulating the exchange of proteins and genetic materials between donor and surrounding cells. Exosomes secreted by normal and cancer cells participate in tumor initiation, progression, invasion, and metastasis. Furthermore, immune cells and cancer cells exert a two-way bidirectional regulatory effect on tumor immunity by exchanging exosomes. Current studies on exosomes have further expanded their known functions in physiological and pathological processes. The purpose of this review is to describe their discovery and biological functions in the context of their enormous potential in the clinical diagnosis, prevention, and treatment of cancer as well as bacterial and viral infectious diseases.

The worldwide spread of pathogenic microorganisms poses a significant risk to human health. Electrochemical biosensors have emerged as dependable analytical tools for the point-of-care detection of pathogens and can effectively compensate for the limitations of conventional techniques. Real-time analysis, high throughput, portability, and rapidity make them pioneering tools for on-site detection of pathogens. Herein, this work comprehensively reviews the recent advances in electrochemical biosensors for pathogen detection, focusing on those based on the classification of recognition elements, and summarizes their principles, current challenges, and prospects. This review was conducted by a systematic search of PubMed and Web of Science databases to obtain relevant literature and construct a basic framework. A total of 171 publications were included after online screening and data extraction to obtain information of the research advances in electrochemical biosensors for pathogen detection. According to the findings, the research of electrochemical biosensors in pathogen detection has been increasing yearly in the past 3 years, which has a broad development prospect, but most of the biosensors have performance or economic limitations and are still in the primary stage. Therefore, significant research and funding are required to fuel the rapid development of electrochemical biosensors. The overview comprehensively evaluates the recent advances in different types of electrochemical biosensors utilized in pathogen detection, with a view to providing insights into future research directions in biosensors.