Viral etiology among children hospitalized for acute respiratory tract infections and its association with meteorological factors and air pollutants: a time-series study (2014-2017) in Macao

Investigating the Distribution and Antibiotic Resistance of Bacterial Pathogens in Clinical Specimens from a Chinese Maternal and Child Hospital: The Role of Environmental Factors

Objective

To analyze bacterial distribution and antibiotic resistance in clinical specimens from a Chinese hospital for evaluating environmental factors' impact on pathogen prevalence.

Methods

From January 2017 to December 2021, we collected 42,854 clinical specimens from hospitalized children and women. The specimens were cultured on various agar plates and incubated at 35°C for 18-48 h. Their identification was performed using standard biochemical methods and Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF), whereas antibiotic susceptibilities were determined using the VITEK 2 system. Concurrent environmental data from Wuhan were analyzed for correlations with pathogen prevalence using multiple linear stepwise regression.

Results

Of the 24,555 bacterial strains isolated, the majority were gram-positive, and sputum was the most common specimen type. Haemophilus influenzae and Escherichia coli were the most prevalent pathogens in sputum and urine samples, respectively. Notably, H. influenzae and Streptococcus pneumoniae affected children under 6 years of age the most. Furthermore, H. influenzae showed high ampicillin resistance but low cefotaxime resistance; S. pneumoniae was sensitive to penicillin G, and E. coli was resistant to ampicillin but sensitive to cefotetan. The prevalence of multidrug-resistant organisms was below national averages. In terms of seasonality, H. influenzae peaked during late winter and early spring, and environmental analysis indicated positive correlations between PM2.5 and PM10, and H. influenzae and S. pneumoniae prevalence. In addition, NO2 levels were positively correlated with increased S. aureus and M. catarrhalis prevalence; E coli prevalence was negatively correlated with ozone levels.

Conclusion

This study provides valuable insights into the distribution and antibiotic resistance patterns of bacterial pathogens in maternal and child healthcare facilities in Wuhan, China. Environmental factors significantly influence the epidemiology of certain bacterial pathogens. Implementing integrated health strategies that combine microbial surveillance with environmental monitoring is needed to effectively manage and prevent bacterial infections.

Prevalence of Influenza Viruses A and B, Adenovirus, Respiratory Syncytial Virus, and Human Metapneumonia Viruses among Children with Acute Respiratory Tract Infection

Background

Acute respiratory tract infection (ARTI) is a significant cause of morbidity and mortality among children worldwide. The majority of acute respiratory infections in children are caused by viruses, with respiratory syncytial virus (RSV) being the most frequently encountered. Other important viral pathogens include human metapneumovirus, human coronaviruses, adenovirus, and influenza. These infections can lead to complications such as bronchitis and pneumonia. So, this study aimed to evaluate the prevalence of influenza viruses A and B, adenovirus, respiratory syncytial virus (RSV), and human metapneumovirus (HMPV) in children with ARTI.

Methods

The molecular diagnostic of polymerase chain reaction approach was used to detect influenza (A and B), metapneumovirus, respiratory syncytial virus (RSV), and adenovirus in respiratory samples of children with acute respiratory infection hospitalization in a teaching hospital of the Shiraz University of Medical Sciences in January 2016-March 2017.

Results

Of the 340 patients examined, 208 (61.20%) were male and the median age was 3.13 ± 2.38 years. Respiratory viruses were found in 179 (52.64%) patients. The male-to-female ratio was 1.63 : 1 in patients who were viral positive. Detection rates for influenza A, adenovirus, influenza B, RSV, and HMPV were 28.23%, 24.70%, 8.52%, 3.23%, and 2.64%, respectively, and coinfections were detected in 24.02%. The most common combination of two-virus coinfections was IFVA/AdV, followed by IFVB/AdV, AdV, IFVB/IFVA, RSV/IFVA, HMPV/AdV, RSV/AdV, and HMPV/IFVA.

Conclusion

The high prevalence of respiratory viruses in children hospitalized with ARTI suggests that viral infection may play a role in disease pathogenesis. This should be confirmed through the conduct of case-control studies and may inform the role of vaccination to prevent respiratory viral infections.

The role of meteorological factors on influenza incidence among children in Guangzhou China, 2019-2022

Objective

Analyzing the epidemiological characteristics of influenza cases among children aged 0-17 years in Guangzhou from 2019 to 2022. Assessing the relationships between multiple meteorological factors and influenza, improving the early warning systems for influenza, and providing a scientific basis for influenza prevention and control measures.

Methods

The influenza data were obtained from the Chinese Center for Disease Control and Prevention. Meteorological data were provided by Guangdong Meteorological Service. Spearman correlation analysis was conducted to examine the relevance between meteorological factors and the number of influenza cases. Distributed lag non-linear models (DLNM) were used to explore the effects of meteorological factors on influenza incidence.

Results

The relationship between mean temperature, rainfall, sunshine hours, and influenza cases presented a wavy pattern. The correlation between relative humidity and influenza cases was illustrated by a U-shaped curve. When the temperature dropped below 13°C, Relative risk (RR) increased sharply with decreasing temperature, peaking at 5.7°C with an RR of 83.78 (95% CI: 25.52, 275.09). The RR was increased when the relative humidity was below 66% or above 79%, and the highest RR was 7.50 (95% CI: 22.92, 19.25) at 99%. The RR was increased exponentially when the rainfall exceeded 1,625 mm, reaching a maximum value of 2566.29 (95% CI: 21.85, 3558574.07) at the highest rainfall levels. Both low and high sunshine hours were associated with reduced incidence of influenza, and the lowest RR was 0.20 (95% CI: 20.08, 0.49) at 9.4 h. No significant difference of the meteorological factors on influenza was observed between males and females. The impacts of cumulative extreme low temperature and low relative humidity on influenza among children aged 0-3 presented protective effects and the 0-3 years group had the lowest RRs of cumulative extreme high relative humidity and rainfall. The highest RRs of cumulative extreme effect of all meteorological factors (expect sunshine hours) were observed in the 7-12 years group.

Conclusion

Temperature, relative humidity, rainfall, and sunshine hours can be used as important predictors of influenza in children to improve the early warning system of influenza. Extreme weather reduces the risk of influenza in the age group of 0-3 years, but significantly increases the risk for those aged 7-12 years.

Nucleic acid sample preparation techniques for bead-based suspension arrays

Multiplexing in biological assays allows the simultaneous detection of multiple analytes in a single reaction, which reduces time, labor, and cost as compared to single reaction-based detection methods. Microsphere- or bead-based suspension array technologies, such as the Luminex® xMAP® system, offer high-throughput detection of nucleic acids through a variety of different assay chemistries. Common with most nucleic acid chemistries, for bead-based or other microarray technologies, is the need for efficient extraction and purification of the nucleic acids from the specimen of interest. Often, the optimal method will be dictated by the requirements of the up-front enzymatic chemistry, such as PCR, primer extension, branched DNA (bDNA), etc. For bead-based microarray platforms, the user must also be cognizant of proteins and other contaminants present in reactions that require heat denaturation, as that can lead to bead aggregation or agglutination, preventing the reading of assay results. This review describes and highlights some of the nucleic acid extraction and purification methods that have been used successfully for bead-based nucleic acid analysis, for both prokaryotic and eucaryotic nucleic acids, from a variety of sample types.

Viral respiratory infections in a rapidly changing climate: the need to prepare for the next pandemic

Viral respiratory infections (VRIs) cause seasonal epidemics and pandemics, with their transmission influenced by climate conditions. Despite the risks posed by novel VRIs, the relationships between climate change and VRIs remain poorly understood. In this review, we synthesized existing literature to explore the connections between changes in meteorological conditions, extreme weather events, long-term climate warming, and seasonal outbreaks, epidemics, and pandemics of VRIs from an interdisciplinary perspective. We proposed a comprehensive conceptual framework highlighting the potential biological, socioeconomic, and ecological mechanisms underlying the impact of climate change on VRIs. Our findings suggested that climate change increases the risk of VRI emergence and transmission by affecting the biology of viruses, host susceptibility, human behavior, and environmental conditions of both society and ecosystems. Further interdisciplinary research is needed to address the dual challenge of climate change and pandemics.