Respiratory infections

Evaluation of the FPMC respiratory panel for detection of respiratory tract pathogens in nasopharyngeal swab and sputum specimens

OBJECTIVES

The performance of the new Respiratory Pathogen panel (fluorescent probe melting curve, FPMC) for the qualitative detection of 12 organisms (chlamydia pneumoniae, mycoplasma pneumoniae, adenovirus, influenza A virus, influenza B virus, parainfluenza virus, rhinovirus, etc.) was assessed.

METHODS

Prospectively collected nasopharyngeal swab (NPS) and sputum specimens (n = 635) were detected by using the FPMC panel, with the Sanger sequencing method as the comparative method.

RESULTS

The overall percent concordance between the FPMC analysis method and the Sanger sequencing method was 100% and 99.66% for NPS and sputum specimens, respectively. The FPMC testified an overall positive percent concordance of 100% for both NPS and sputum specimens. The FPMC analysis method also testified an overall negative percent concordance of 100% and 99.38% for NPS and sputum specimens, respectively.

CONCLUSIONS

The FPMC analysis method is a stable and accurate assay for rapid, comprehensive detecting for respiratory pathogens.

The diagnostic value of bronchoalveolar lavage fluid metagenomic next-generation sequencing in critically ill patients with respiratory tract infections

Metagenomic next-generation sequencing (mNGS) is an unbiased and rapid method for detecting pathogens. This study enrolled 145 suspected severe pneumonia patients who were admitted to the Affiliated Hospital of Jining Medical University. This study primarily aimed to determine the diagnostic performance of mNGS and conventional microbiological tests (CMTs) using bronchoalveolar lavage fluid samples for detecting pathogens. Our findings indicated that mNGS performed significantly higher sensitivity (97.54% vs 28.68%, P < 0.001), coincidence (90.34% vs 35.17%, P < 0.001), and negative predictive value (80.00% vs 13.21%, P < 0.001) but performed lower specificity than CMTs (52.17% vs 87.5%, P < 0.001). Streptococcus pneumoniae as the most common bacterial pathogen had the largest proportion (22.90%, 30/131) in this study. In addition to bacteria, fungi, and virus, mNGS can detect a variety of atypical pathogens such as Mycobacterium tuberculosis and non-tuberculous. Mixed infections were common in patients with severe pneumonia, and bacterial-fungal-viral-atypical pathogens were the most complicated infection. After adjustments of antibiotics based on mNGS and CMTs, the clinical manifestation improved in 139 (95.86%, 139/145) patients. Our data demonstrated that mNGS had significant advantage in diagnosing respiratory tract infections, especially atypical pathogens and fungal infections. Pathogens were detected timely and comprehensively, contributing to the adjustments of antibiotic treatments timely and accurately, improving patient prognosis and decreasing mortality potentially.IMPORTANCEMetagenomic next-generation sequencing using bronchoalveolar lavage fluid can provide more comprehensive and accurate pathogens for respiratory tract infections, especially when considering the previous usage of empirical antibiotics before admission or complicated clinical presentation. This technology is expected to play an important role in the precise application of antimicrobial drugs in the future.

A prospects tool in virus research: Analyzing the applications of organoids in virus studies

Organoids have emerged as a powerful tool for understanding the biology of the respiratory, digestive, nervous as well as urinary system, investigating infections, and developing new therapies. This article reviews recent progress in the development of organoid and advancements in virus research. The potential applications of these models in studying virul infections, pathogenesis, and antiviral drug discovery are discussed.

Managing children with frequent respiratory infections and associated wheezing: a preliminary randomized study with a new multicomponent nasal spray

BACKGROUND

Preschoolers frequently have respiratory infections (RIs), which may cause wheezing in some subjects. Type 2 polarization may favor increased susceptibility to RIs and associated wheezing. Non-pharmacological remedies are garnering increasing interest as possible add-on therapies. The present preliminary study investigated the efficacy and safety of a new multi-component nasal spray in preschoolers with frequent RIs and associated wheezing.

METHODS

Some preschoolers with these characteristics randomly took this product, containing lactoferrin, dipotassium glycyrrhizinate, carboxymethyl-beta-glucan, and vitamins C and D3 (Saflovir), two sprays per nostril twice daily for 3 months. Other children were randomly treated only with standard therapy. Outcomes included the number of RIs and wheezing episodes, use of medications, and severity of clinical manifestations.

RESULTS

Preschoolers treated add-on with this multicomponent product experienced fewer RIs and used fewer beta-2 agonists than untreated children (P = 0.01 and 0.029, respectively).

CONCLUSIONS

This preliminary study demonstrated that a multicomponent product, administered add-on as a nasal spray, could reduce the incidence of RIs and use of symptomatic drugs for relieving wheezing in children.

Developing a model of public health system strengthening during pandemic of new emerging respiratory diseases for Iran: A protocol study

The objective of this article is to propose a protocol for developing a model for strengthening the public health system in Iran. Currently, there is no clearly articulated model for strengthening public health systems during the pandemic of new emerging respiratory diseases in Iran. The protocol described here aims to: (1) identify components for strengthening public health systems, during the pandemic of new emerging respiratory diseases worldwide, (2) identify components for strengthening Iran's public health system, and (3) design a model for strengthening the public health system in Iran during the pandemic of new emerging respiratory diseases. The protocol proposes three phases. In the first phase, a realistic review will be conducted to identify components for strengthening public health systems worldwide based on six building block framework. In the second phase, a qualitative study will be used to identify components for strengthening public health systems in Iran during the pandemic of new emerging respiratory diseases. In the third phase, an initial model will be designed, and the Delphi technique will be used to finalize the model. Due to fragility and the significant strain that public health systems experienced during the pandemic, it is imperative to introduce a model that strengthens public health systems through some initiatives and strategies and explains the mechanisms by which they operate. A realist review and qualitative study will provide the evidence needed to support the effective implementation of public health interventions, taking into consideration the diverse contexts of these interventions in Iran.

Near-Infrared Responsive Ag@Au Nanoplates with Exceptional Stability for Highly Sensitive Colorimetric and Photothermal Dual-Mode Lateral Flow Immunoassay

Lateral flow immunoassay (LFIA) has played a vital role in point-of-care (POC) testing on account of its simplicity, rapidity, and low cost. However, the low sensitivity and difficulty of quantitation limit its further development. Sensitive markers with new detection modes are being developed to dramatically improve LFIA's performance. Herein, a ligand-complex approach was proposed to uniformly coat a thin layer of Au onto Ag triangular nanoplates (Ag TNPs) without etching the Ag cores, which not only retain the unique optical properties from Ag TNPs but also acquire the surface stability and biocompatibility of gold. The localized surface plasmon resonance absorption of these Ag@Au TNPs could be finely adjusted from visible (550 nm) to the second near-infrared region (NIR-II) (1100 nm), and even longer, by simply adjusting the ratio between edge length and thickness. Utilizing the Ag@Au TNPs as new markers for LFIA, a highly sensitive colorimetric and photothermal dual-mode detection of the SARS-CoV-2 nucleocapsid protein was achieved with a very low background. The Ag@Au TNPs showed an exceedingly high photothermal conversion efficiency of 61.4% (ca. 2 times higher than that of Au nanorods), endowing the LFIA method with a low photothermal detection limit (40 pg/mL), which was 25-fold lower than that of the colorimetric results. The generality of the method was further verified by the sensitive and accurate analysis of cardiac troponin I (cTnI). This method is robust, reproducible, and highly specific and has been successfully applied to SARS-COV-2 detection in 35 clinical samples with satisfactory results, demonstrating its potential for POC applications.

In Silico Clinical Trials: Is It Possible?

Modeling and simulation (M&S), including in silico (clinical) trials, helps accelerate drug research and development and reduce costs and have coined the term "model-informed drug development (MIDD)." Data-driven, inferential approaches are now becoming increasingly complemented by emerging complex physiologically and knowledge-based disease (and drug) models, but differ in setup, bottlenecks, data requirements, and applications (also reminiscent of the different scientific communities they arose from). At the same time, and within the MIDD landscape, regulators and drug developers start to embrace in silico trials as a potential tool to refine, reduce, and ultimately replace clinical trials. Effectively, silos between the historically distinct modeling approaches start to break down. Widespread adoption of in silico trials still needs more collaboration between different stakeholders and established precedence use cases in key applications, which is currently impeded by a shattered collection of tools and practices. In order to address these key challenges, efforts to establish best practice workflows need to be undertaken and new collaborative M&S tools devised, and an attempt to provide a coherent set of solutions is provided in this chapter. First, a dedicated workflow for in silico clinical trial (development) life cycle is provided, which takes up general ideas from the systems biology and quantitative systems pharmacology space and which implements specific steps toward regulatory qualification. Then, key characteristics of an in silico trial software platform implementation are given on the example of jinkō.ai (nova's end-to-end in silico clinical trial platform). Considering these enabling scientific and technological advances, future applications of in silico trials to refine, reduce, and replace clinical research are indicated, ranging from synthetic control strategies and digital twins, which overall shows promise to begin a new era of more efficient drug development.

Epidemiological Study of Respiratory Virus Infections among Hospitalized Children Aged 14 Years and Younger during COVID-19 Pandemic in Wuhan, China, 2018-2022

Introduction

The viral etiological characteristics and prevalence of hospitalized children with acute respiratory tract infection were preliminary studied in Wuhan City during the COVID-19 pandemic, to provide a reliable scientific basis for better understanding of the role of various pathogens in cases and for the prevention and clinical treatment of acute respiratory tract infection.

Methods

A total of 69,086 children with acute respiratory infections hospitalized and treated in our department from January 2018 to December 2022 were enrolled as our research subjects. Sociodemographic and clinical data as well as nasopharyngeal samples were collected from patients. Respiratory syncytial virus (RSV), adenovirus (ADV), infuenza virus A (FluA), infuenza virus B (FluB), and parainfluenza virus (PIV) were detected by direct immunofluorescence (DFA) to understand and analyze the epidemic characteristics of respiratory pathogens in children during the COVID-19 pandemic.

Results

The total detection rate of respiratory pathogens was 24.52% of the 69,086 hospitalized children. The frequency of respiratory viruses in those ADV, RSV, FluA, FluB, and PIV was 14.67%, 46.40%, 7.76%, 5.23%, and 25.95%. There were significant differences between the various pathogens (P < 0.001). There were the fewest pathogen-positive patients and positive detection rate in 2020 during the COVID-19 pandemic. There were significant differences in the pathogen detection rate among different years (P < 0.001). In addition, the results showed that the total detection rate of respiratory virus tested in different age groups was significantly different (P < 0.001). The positive detection rate was highest in the 1-3-year-old age group, which is prone to acute respiratory infections. We also found that different pathogens showed obvious seasonal fluctuation and epidemic. RSV reached its peak in winter. ADV is mainly prevalent in spring and summer. FluA has a high detection rate in winter. Winter and spring are the peak seasons for FluB infection, whereas PIV is detected in all seasons, with a higher incidence rate in the spring and summer.

Conclusion

The epidemiological distribution of pathogens of acute respiratory tract infection in hospitalized children in Wuhan from 2018 to 2022 varies with gender, age, and season. Nonpharmaceutical interventions (NPIs) were implemented as control measures worldwide and reduced the transmission of respiratory pathogens. NPIs are likely to be the primary driver of the dramatic reduction in respiratory virus infection activity in the early stages of the COVID-19 pandemic, to dissolving NPIs can lead to a recurrence of viral infection pathogens, especially in children.