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14 pages, 1870 KiB  
Article
Optimization of Basophil Activation Test in the Diagnosis and Qualification for Allergen-Specific Immunotherapy in Children with Respiratory Allergy to the House Dust Mite Dermatophagoides pteronyssinus
by Radoslaw Spiewak, Aleksandra Gregorius, Grzegorz Ostrowski and Ewa Czarnobilska
Int. J. Mol. Sci. 2024, 25(18), 9959; https://doi.org/10.3390/ijms25189959 (registering DOI) - 15 Sep 2024
Abstract
The aim of this study was to optimize a basophil activation test in the detection of allergy to the house dust mite Dermatophagoides pteronyssinus in children with allergic respiratory diseases. This study involved 32 cases, 13 girls and 19 boys aged 4–17 years, [...] Read more.
The aim of this study was to optimize a basophil activation test in the detection of allergy to the house dust mite Dermatophagoides pteronyssinus in children with allergic respiratory diseases. This study involved 32 cases, 13 girls and 19 boys aged 4–17 years, with perennial asthma or allergic rhinitis caused by D. pteronyssinus. The control group consisted of 13 girls and 19 boys aged 4–17 years with seasonal allergic asthma or rhinitis provoked by Timothy or birch pollen. House dust mite (HDM) allergy was excluded in the controls based on their medical history, skin prick test (SPT) results and sIgE determination. In all patients, a basophil activation test (BAT) was performed with five dilutions of D. pteronyssinus allergen (the dilution series ranged from 22.5 to 0.00225 ng/mL). The results were analyzed by using the receiver operating characteristics (ROC) to determine the optimal allergen concentrations, outcome measures and cut-off points that would differentiate most accurately between HDM-allergic and non-allergic patients. As a “gold standard”, criteria for allergen-specific immunotherapy with D. pteronyssinus or respective pollens were applied by an experienced pediatric allergist following the guidelines of the European Academy of Allergy and Clinical Immunology. The highest diagnostic efficiency was yielded by the protocol assuming a cut-off value of 9.76% activated basophils after activation with a single allergen concentration of 2.25 ng/mL (sensitivity 90.6%, specificity 100%). This protocol yielded 3 (4.7%) misclassifications, all false negative, when compared with the “gold standard”. There was a strong correlation with the BAT results at 22.5, 2.25 and 0.225 ng/mL (respectively r = 0.90 and r = 0.78, p < 0.001), as well as between the BAT at 2.25 ng/mL and SPT (r = 0.82, p < 0.001) and between the SPT and sIgE levels (r = 0.78, p < 0.001). High cross-reactivity between D. pteronyssinus and D. farinae was confirmed based on the BAT at 22.5 ng/mL (r = 0.82, p < 0.001). In conclusion, the BAT showed very good concordance with the result of a meticulous process of decision-making that combined validated allergy tests (SPT, sIgE) with expert guidelines, specialist knowledge and experience. Facing the risk of the incorrect qualification of patients for costly, long-lasting and potentially risky allergen-specific immunotherapy, the inclusion of a basophil activation test into diagnostic process seems fully justified. Full article
(This article belongs to the Collection Feature Papers in Molecular Immunology)
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<p>Results of the BAT expressed as the percent of stimulated (CD63+) basophils with different concentrations of <span class="html-italic">D. pteronyssinus</span> allergen in cases (red) and controls (blue). Numerical data for the graphs are listed in the <a href="#app1-ijms-25-09959" class="html-app">Supplementary Materials</a> (<a href="#app1-ijms-25-09959" class="html-app">Table S1</a>).</p>
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<p>Cumulative results of the BAT (area under the curve—AUC) in cases (red) and controls (blue). Numerical data for the graphs are listed in the <a href="#app1-ijms-25-09959" class="html-app">Supplementary Materials</a> (<a href="#app1-ijms-25-09959" class="html-app">Table S2</a>).</p>
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<p>Graphs representing the receiver operating characteristics (ROC) analyses of the diagnostic accuracy of the compared BAT outcomes. The arrows indicate the computed cut-off values. Letters (<b>a</b>–<b>h</b>) assigned to individual graphs refer to detailed data presented in <a href="#ijms-25-09959-t001" class="html-table">Table 1</a>.</p>
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<p>Gating strategy for basophils (<b>left</b>) and exemplary graphs showing basophil reactivity to controls and response to the allergen of <span class="html-italic">D. pteronyssinus</span> (<b>right</b>).</p>
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14 pages, 1637 KiB  
Article
The Role of the Basophil Activation Test in the Diagnosis of Drug-Induced Anaphylaxis
by Maria Czarnobilska, Małgorzata Bulanda, Ewa Czarnobilska, Wojciech Dyga and Marcel Mazur
Diagnostics 2024, 14(18), 2036; https://doi.org/10.3390/diagnostics14182036 (registering DOI) - 13 Sep 2024
Viewed by 181
Abstract
The diagnosis of drug-induced anaphylaxis (DIA) is a serious health problem. The Basophil activation test (BAT) is considered a specific in vitro provocation, and compared to in vivo provocation, it is more convenient, cheaper, and safer for the patient. This study aimed to [...] Read more.
The diagnosis of drug-induced anaphylaxis (DIA) is a serious health problem. The Basophil activation test (BAT) is considered a specific in vitro provocation, and compared to in vivo provocation, it is more convenient, cheaper, and safer for the patient. This study aimed to evaluate the usefulness of the BAT in the diagnosis of DIA. This study included 150 patients referred to a reference allergy clinic with suspected drug allergies. All patients underwent a detailed clinical evaluation supplemented with the BAT. Positive BAT results were obtained in two out of 21 patients who were to receive the COVID-19 vaccine. The sensitivity and specificity of the BAT were 40% and 75% for the COVID-19 vaccine, 67% and 58% for DMG PEG 2000, and 100% and 75% for PEG 4000, respectively. Nine out of 34 patients with suspected antibiotic allergies had positive BAT results with 14 different antibiotics. Positive BAT results were also obtained with NSAIDs in two patients and with local anesthetics in three patients. The confirmation of allergy by the BAT improves the safety profile of the diagnostic work-up as it may defer the need for drug provocation, preventing potential anaphylactic reactions. Full article
(This article belongs to the Special Issue Advances in the Laboratory Diagnosis)
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<p>Result of Basophil Activation Test cytometric analysis; (<b>A</b>) Discrete cell populations (lymphocytes, monocytes, and granulocytes) of hemolyzed whole blood in FSC/SSC histogram; (<b>B</b>) Selection of entire basophil population on the basis of positive CCR3 and low Side Scatter (SSC); (<b>C</b>) Selection of activated fraction of basophils on the basis of high expression of CD63.</p>
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<p>Clinical symptoms occurring after vaccination against COVID-19 in patients.</p>
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<p>Positive BAT results with the vaccine and/or PEG for Patient 1 ((<b>A</b>) Gating strategy of basophils; (<b>B</b>) Amount of activated basophils).</p>
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<p>Positive BAT results with the vaccine and/or PEG for Patient 2 ((<b>A</b>) Gating strategy; (<b>B</b>) Amount of activated basophils).</p>
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<p>Symptoms of drug-induced anaphylaxis.</p>
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<p>Drug-related symptoms that do not require an allergy diagnosis.</p>
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22 pages, 5886 KiB  
Article
Optimal Placement and Sizing of Battery Energy Storage Systems for Improvement of System Frequency Stability
by Amrit Parajuli, Samundra Gurung and Kamal Chapagain
Electricity 2024, 5(3), 662-683; https://doi.org/10.3390/electricity5030033 - 13 Sep 2024
Viewed by 384
Abstract
Modern power systems are growing in complexity due to the installation of large generators, long transmission lines, the addition of inertialess renewable energy resources (RESs) with zero inertia, etc., which can all severely degrade the system frequency stability. This can lead to under-/over-frequency [...] Read more.
Modern power systems are growing in complexity due to the installation of large generators, long transmission lines, the addition of inertialess renewable energy resources (RESs) with zero inertia, etc., which can all severely degrade the system frequency stability. This can lead to under-/over-frequency load shedding, damage to turbine blades, and affect frequency-sensitive loads. In this study, we propose a methodology to improve the two critical frequency stability indices, i.e., the frequency nadir and the rate of change of frequency (RoCoF), by formulating an optimization problem. The size and placement location of battery energy storage systems (BESSs) are considered to be the constraints for the proposed optimization problem. Thereafter, the optimization problem is solved using the three metaheuristic optimization algorithms: the particle swarm optimization, firefly, and bat algorithm. The best performing algorithm is then selected to find the optimal sizing and placement location of the BESSs. The analyses are all performed on the IEEE 9-bus and IEEE 39-bus test systems. Several scenarios which consider multiple generator outages, increased/decreased loading conditions, and the addition of RESs are also considered for both test systems in this study. The obtained results show that under all scenarios, the proposed method can enhance system frequency compared to the existing method and without BESSs. The proposed method can be easily upscaled for a larger electrical network for obtaining the optimized BESS size and location for the improvement of the system frequency stability. Full article
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<p>The determination of the system’s frequency.</p>
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<p>BESS model.</p>
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<p>The structure of the BESS frequency controller.</p>
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<p>The proposed methodology to find the optimal location and size of the BESSs.</p>
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<p>Co-simulation of the MATLAB 2021 and DIgSILENT PowerFactory 15.1 software to solve the proposed method.</p>
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<p>The convergence characteristics of the metaheuristic algorithms on the IEEE 9-bus system.</p>
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<p>Frequency response following loss of generator G3.</p>
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<p>Frequency response following loss of generator G2.</p>
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<p>Frequency response following loss of G3—decreased load.</p>
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<p>Frequency response following loss of G3—increased load.</p>
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<p>Frequency response following loss of G3—RES penetration.</p>
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<p>Power and SoC of BESS connected at bus 9.</p>
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<p>The convergence characteristics of the metaheuristic algorithms on the IEEE 39-bus system.</p>
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<p>Frequency response following loss of G 01.</p>
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<p>Frequency response following loss of G 09.</p>
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<p>Frequency response following loss of G 03.</p>
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<p>Frequency response following loss of G 01—decreased load.</p>
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<p>Frequency response following loss of G 01—increased load.</p>
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<p>Frequency response following loss of G 01—RES penetration.</p>
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<p>The power and SoC of the BESS connected at bus 02.</p>
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24 pages, 10739 KiB  
Article
Daily Brain Metabolic Rhythms of Wild Nocturnal Bats
by Tianhui Wang, Hui Wang, Yujia Chu, Mingyue Bao, Xintong Li, Guoting Zhang and Jiang Feng
Int. J. Mol. Sci. 2024, 25(18), 9850; https://doi.org/10.3390/ijms25189850 - 12 Sep 2024
Viewed by 178
Abstract
Circadian rhythms are found in a wide range of organisms and have garnered significant research interest in the field of chronobiology. Under normal circadian function, metabolic regulation is temporally coordinated across tissues and behaviors within a 24 h period. Metabolites, as the closest [...] Read more.
Circadian rhythms are found in a wide range of organisms and have garnered significant research interest in the field of chronobiology. Under normal circadian function, metabolic regulation is temporally coordinated across tissues and behaviors within a 24 h period. Metabolites, as the closest molecular regulation to physiological phenotype, have dynamic patterns and their relationship with circadian regulation remains to be fully elucidated. In this study, untargeted brain metabolomics was employed to investigate the daily rhythms of metabolites at four time points corresponding to four typical physiological states in Vespertilio sinensis. Key brain metabolites and associated physiological processes active at different time points were detected, with 154 metabolites identified as rhythmic. Analyses of both metabolomics and transcriptomics revealed that several important physiological processes, including the pentose phosphate pathway and oxidative phosphorylation, play key roles in regulating rhythmic physiology, particularly in hunting and flying behaviors. This study represents the first exploration of daily metabolic dynamics in the bat brain, providing insights into the complex regulatory network of circadian rhythms in mammals at a metabolic level. These findings serve as a valuable reference for future studies on circadian rhythms in nocturnal mammals. Full article
(This article belongs to the Section Molecular Endocrinology and Metabolism)
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Graphical abstract

Graphical abstract
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<p>Annotated metabolites in the bat brain were detected for (<b>A</b>) super-classification, (<b>B</b>) classification, and (<b>C</b>) sub-classification, respectively.</p>
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<p>Results of inter-sample relationships. (<b>A</b>) Metabolite principal component analysis (PCA) among samples of the brain at different states. (<b>B</b>) The heat map of sample correlation analysis.</p>
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<p>Heatmaps of 293 DAMs from six pairwise comparisons across four time points corresponding to four physiological states. The four columns represent the amount of each DAM detected in the rest, sleep, wake, and activity state, respectively.</p>
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<p>(<b>A</b>) Venn diagram of DAMs from four pairwise comparisons involved every two adjacent time points. (<b>B</b>) The change patterns of eight common metabolites from four pairwise comparisons detected. Raw data normalization was conducted using MetaboAnalystR 4.0 [<a href="#B24-ijms-25-09850" class="html-bibr">24</a>], which was integrated within the R software version 4.2.3 by utilizing the sum of features for each sample.</p>
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<p>KEGG pathways were significantly enriched by DAMs detected from six pairwise comparisons. Pathways enriched by higher abundant metabolites detected in the former state than in the latter of one comparison are shown in red, and pathways enriched by higher abundant metabolites detected in the latter state are shown in blue. Significant pathways were obtained by KEGG enrichment analysis of DAMs in six pairwise comparison groups. Pathways significantly enriched in DAMs that were more abundant in the previous state in the comparison group are shown in red. Pathways significantly enriched in DAMs that were richer in the latter state in the comparison group are shown in blue.</p>
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<p>Summary of the more active physiological processes for each time point in the bat brain.</p>
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<p>Clusters of 293 DAMs according to their change patterns across four time points. (<b>A</b>) Ten clusters of DAMs. The number under the cluster indicates the DAMs clustered in it. (<b>B</b>) KEGG pathways were significantly enriched by DAMs from cluster 1, cluster 6, and cluster 9 (DAMs from other clusters were not significantly enriched in any pathway).</p>
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<p>(<b>A</b>)The KEGG pathways were significantly enriched by rhythmic DAMs. (<b>B</b>) The KEGG pathway–metabolite interaction network analysis. Diamonds represent pathways, circles represent metabolites.</p>
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<p>Clusters of 154 rhythmic DAMs according to their change patterns across four time points. Six clusters of rhythmic DAMs (<b>up</b>) and related heatmaps (<b>down</b>). The number under the cluster indicates the rhythmic metabolites clustered in it.</p>
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<p>The pathway–metabolite interaction network of significantly enriched pathways from six pairwise comparisons and associated involved metabolites. The rhythmic and differential characteristics of metabolites were labeled with different colors.</p>
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<p>Illustration of the main process of the pentose phosphate pathway. The simple heatmap showed the content of corresponding metabolites across four time points from 4:00 to 22:00. The deeper the red color, the higher the content; the deeper the green color, the lower the content. The blue pathways showed the rhythmic metabolites detected in the brain of a bat.</p>
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<p>Correlation of brain metabolites with four states based on WGCNA. (<b>A</b>) Module–state relationship. (<b>B</b>) Yellow module metabolite network for the metabolites from the yellow module. The top 10 metabolites with the highest connectivity are shown with highlighted colors.</p>
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<p>(<b>A</b>) A network of DEGs correlated with tryptophan. The red connecting line indicates a positive correlation and the blue connecting line indicates a negative correlation. (<b>B</b>) The expressed trends of tryptophan and <span class="html-italic">Per1</span>/<span class="html-italic">2</span> across four states.</p>
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<p>Melatonin synthesis process. The simple heatmap showed the content of corresponding metabolites across four time points from 4:00 to 22:00. The deeper the red color, the higher the content; the deeper the green color, the lower the content.</p>
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22 pages, 1420 KiB  
Article
Forensic Genomic Analysis Determines That RaTG13 Was Likely Generated from a Bat Mating Plug
by Steven E. Massey
Microbiol. Res. 2024, 15(3), 1784-1805; https://doi.org/10.3390/microbiolres15030119 - 5 Sep 2024
Viewed by 461
Abstract
RaTG13 is phylogenomically the closest related coronavirus to SARS-CoV-2; consequently, understanding the provenance of this high-value genome sequence is important in understanding the origin of SARS-CoV-2. While RaTG13 was described as being generated from a Rhinolophus affinis fecal swab obtained from a mine [...] Read more.
RaTG13 is phylogenomically the closest related coronavirus to SARS-CoV-2; consequently, understanding the provenance of this high-value genome sequence is important in understanding the origin of SARS-CoV-2. While RaTG13 was described as being generated from a Rhinolophus affinis fecal swab obtained from a mine in Mojiang, Yunnan, numerous investigators have pointed out that this is inconsistent with the low proportion of bacterial reads in the sequencing dataset. Metagenomic analysis confirms that only 10.3% of small-subunit (SSU) rRNA sequences in the dataset are bacterial, which is inconsistent with a fecal sample. In addition, the bacterial taxa present in the sample are shown to be inconsistent with fecal material. The assembly of mitochondrial SSU rRNA sequences in the dataset produces a sequence 98.7% identical to R. affinis mitochondrial SSU rRNA, indicating that the sample was generated from R. affinis or a closely related species. In addition, 87.5% of the reads in the dataset map to the Rhinolophus ferrumequinum genome, and 62.2% of these map to protein-coding genes, indicating that the dataset represents a Rhinolophus sp. transcriptome rather than a fecal swab sample. Differential gene expression analysis reveals that the pattern of expressed genes in the RaTG13 dataset is similar to that of RaTG15, which was also collected from the Mojiang mine. GO enrichment analysis reveals the overexpression of spermatogenesis- and olfaction-related genes in both datasets. This observation is consistent with a mating plug found in female Rhinolophid bats and suggests that RaTG13 was mis-sampled from such a plug. A validated natural provenance of the RaTG13 dataset throws into relief the unusual features of the SARS-CoV-2 genome. Full article
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<p>Beta-diversity (principal coordinate) analysis of the microbial communities of the RaTG13 and Clade 7896 datasets compared to datasets from Li et al. (2020) [<a href="#B25-microbiolres-15-00119" class="html-bibr">25</a>]. Microbial beta-diversity was calculated using the Bray–Curtis distance and clustered as described in Methods. The plot displays RaTG13, RaTG15 (Ra7909), the remaining Clade 7896 datasets (Rs7896, Rs7905, Rs7907, Rs7921, Rs7924, Rs7931, Rs7952), and the following datasets from [<a href="#B4-microbiolres-15-00119" class="html-bibr">4</a>]: 229Er (BtRaCoV-229Er), 512r (BtScCoV-512r), CHB25 (BtHiCoV-CHB25), CoV1r (BtMiCoV-1r), HKU2r (BtRhCoV-HKU2r), HKU4r (BtTyCoV-HKU4r), HKU5r (BtPiCoV-HKU5r), HKU8r (BtMiCoV-HKU8r) and HKU10r (BtHpCoV-HKU10r). K-means clustering was used to identify two clusters: cluster 1 (black circles) and cluster 2 (open circles).</p>
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<p>The phylogenetic tree of mitochondrial SSU rRNA contigs generated from sample sequence datasets. The tree was constructed as described in Methods, using maximum likelihood and an HKY substitution model with an estimated gamma parameter. A total of 100 bootstrap replicates were conducted, and values &gt; 50 are shown. The accession numbers of the mitochondrial genomes from which additional <span class="html-italic">Rhinolophus</span> sp. mitochondrial SSU rRNA sequences were obtained are listed in Methods. Those sequences derived from NGS RNA datasets have the sample number appended to the species name (with the exception of RaTG13 and RaTG15). Three taxa have the subspecies appended; these are ‘R.ferrumequinum nippon’, ‘R.affinis himalayanus’ and ‘R.sinicus sinicus’.</p>
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<p>A hierarchical cluster analysis of bat NGS transcriptomic datasets. The HCA plot shows the RaTG13 and Clade 7896 datasets (RaTG15, Rs7896, Rs7905, Rs7907, Rs7921, Rs7924, Rs7931, Rs7952) and a variety of <span class="html-italic">R. sinicus</span> datasets, clustered using RPM Z-scores and Euclidean distance. Samples are on the <span class="html-italic">x</span>-axis, while genes are on the <span class="html-italic">y</span>-axis. The color bar represents the Z-scores.</p>
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13 pages, 657 KiB  
Article
Screening of Anisakis-Related Allergies and Associated Factors in a Mediterranean Community Characterized by High Seafood Consumption
by Santo Fruscione, Maria Barrale, Maurizio Zarcone, Davide Alba, Barbara Ravazzolo, Miriam Belluzzo, Rosa Onida, Gaetano Cammilleri, Antonella Costa, Vincenzo Ferrantelli, Alessandra Savatteri, Daniele Domenico De Bella, Salvatore Pipitone, Alida D’Atria, Alessia Pieri, Fabio Tramuto, Claudio Costantino, Carmelo Massimo Maida, Giorgio Graziano, Marialetizia Palomba, Simonetta Mattiucci, Ignazio Brusca and Walter Mazzuccoadd Show full author list remove Hide full author list
Foods 2024, 13(17), 2821; https://doi.org/10.3390/foods13172821 - 5 Sep 2024
Viewed by 295
Abstract
Dietary changes expose consumers to risks from Anisakis larvae in seafood, leading to parasitic diseases and allergies. Anisakis is recognized by EFSA as a significant hazard, with potential oncogenic implications. Diagnostic advancements, like the Basophil Activation Test (BAT), enhance sensitivity and accuracy in [...] Read more.
Dietary changes expose consumers to risks from Anisakis larvae in seafood, leading to parasitic diseases and allergies. Anisakis is recognized by EFSA as a significant hazard, with potential oncogenic implications. Diagnostic advancements, like the Basophil Activation Test (BAT), enhance sensitivity and accuracy in identifying Anisakis sensitization, complementing traditional IgE tests. We conducted a cross-sectional study on patients with allergic symptoms from April 2021 to April 2023 at two outpatient clinics in western Sicily. Our goal was to assess the prevalence of Anisakis-related allergies and to identify risk profiles using specific Anisakis IgE and the BAT, especially in regions with high raw fish consumption. The study evaluated specific Anisakis IgE as a screening tool for Anisakis sensitization, using questionnaires, blood samples, and immuno-allergology analyses. Anisakis-specific IgE values were compared with the BAT results, with statistical analyses including Fisher’s exact test and logistic regression. The results showed an 18.5% seroprevalence of Anisakis IgE, while the BAT as a second-level test showed 4.63%, indicating the BAT’s superior specificity and accuracy. The study highlighted the importance of the BAT in diagnosing Anisakis sensitization, especially in cases of cross-reactivity with Ascaris and tropomyosin. The findings confirm the BAT’s exceptional specificity in identifying Anisakis sensitization and support using Anisakis-specific IgE for population-based risk profiling. The BAT can effectively serve as a confirmatory test. Full article
(This article belongs to the Special Issue Advances in the Monitoring and Analysis of Foodborne Pathogens)
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<p>Flow chart for the diagnosis and the screening of <span class="html-italic">Anisakis</span> allergy.</p>
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23 pages, 3379 KiB  
Article
The Co-Occurrence of Demodecidae and Psorergatidae (Acariformes: Prostigmata) in the Yellow-Necked Field Mouse Apodemus flavicollis (Rodentia: Muridae) with a Description of Two New Species and a New Host Record
by Karolina Cierocka, Joanna N. Izdebska and Leszek Rolbiecki
Diversity 2024, 16(9), 550; https://doi.org/10.3390/d16090550 - 5 Sep 2024
Viewed by 306
Abstract
Mites from the Demodecidae and Psorergatidae can optimally use mammalian hosts by inhabiting a number of different microhabitats in their skin. Hence, in individual hosts, several species of parasites from these groups have been described in different microhabitats. There are few data on [...] Read more.
Mites from the Demodecidae and Psorergatidae can optimally use mammalian hosts by inhabiting a number of different microhabitats in their skin. Hence, in individual hosts, several species of parasites from these groups have been described in different microhabitats. There are few data on their co-occurrence either at the host species level or at the host individual level. Most research has addressed the co-occurrence of Demodecidae in carnivorans, ungulates, soricomorphs, and rodents, while the co-occurrence of both families was found in bats. The present study examines the possibility of their co-occurrence in a Eurasian rodent—Apodemus flavicollis. It is a suitable model for such analyses, because representatives of both families have been demonstrated here so far, and our findings extend the list of specific Demodecidae in A. flavicollis with two new species: Demodex tenuis sp. nov. from the lip region and D. mediocris sp. nov. from the chin region. The study also includes the first record of Psorergates muricola in this host, which occurred in the genital–anal region. Therefore, the findings confirm the possibility that different Demodecidae and Psorergatidae species can co-occur in the same host in different body regions. This paper also includes a checklist of Demodecidae and Psorergatidae in rodents around the world. Full article
(This article belongs to the Special Issue Diversity and Ecology of the Acari)
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<p><span class="html-italic">Demodex tenuis</span> sp. nov.: female, dorsal view (<b>A</b>); female, ventral view (<b>B</b>); male, ventral view (<b>C</b>); male, dorsal view (<b>D</b>); aedeagus (<b>E</b>); claw on the leg (<b>F</b>); posterior part of opisthosoma with visible opisthosomal organ, male (<b>G</b>); gnathosoma, male, dorsal view (<b>H</b>); gnathosoma, male, ventral view (<b>I</b>). Abbreviations: a—vulva, b—aedeagus, c—opisthosomal organ, d—supracoxal spine (seta <span class="html-italic">elc.p</span>), e—spines on palps, f—subgnathosomal seta (seta <span class="html-italic">n</span>), g—pharyngeal bulb.</p>
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<p>Demodecidae from <span class="html-italic">Apodemus flavicollis</span>. <span class="html-italic">Demodex tenuis</span> sp. nov.: female, various morphotypes (<b>A</b>,<b>B</b>); male (<b>C</b>); <span class="html-italic">Demodex mediocris</span> sp. nov.: female (<b>D</b>); males, various morphotypes (<b>E</b>,<b>F</b>); <span class="html-italic">Demodex corniculatus</span>: male (<b>G</b>); adult <span class="html-italic">Demodex mediocris</span> sp. nov. with visible remains of nymphal exuviae, arrow (<b>H</b>); <span class="html-italic">Demodex mollis</span>: male (<b>I</b>).</p>
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<p><span class="html-italic">Demodex mediocris</span> sp. nov.: female, dorsal view (<b>A</b>); female, ventral view (<b>B</b>); male, dorsal view (<b>C</b>); male, ventral view (<b>D</b>); gnathosoma, male, dorsal view (<b>E</b>); gnathosoma, male, ventral view (<b>F</b>); posterior part of opisthosoma with visible opisthosomal organ, male (<b>G</b>); aedeagus (<b>H</b>); claw on the leg (<b>I</b>). Abbreviations: a—vulva, b—aedeagus, c—supracoxal spine (seta <span class="html-italic">elc.p</span>), d—spines on palps, e—setae <span class="html-italic">v”F</span>, f—subgnathosomal seta (seta <span class="html-italic">n</span>), g—pharyngeal bulb, h—opisthosomal organ.</p>
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<p><span class="html-italic">Psorergates muricola</span>: female with four terminal setae visible, arrows (<b>A</b>); female with one terminal seta, arrow (<b>B</b>); male with two terminal setae visible, arrows (<b>C</b>); male without terminal setae (<b>D</b>); nymph (<b>E</b>); adult with visible remains of nymphal exuviae, arrow (<b>F</b>).</p>
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<p>The co-occurrence (number, %) of Demodecidae and Psorergatidae in the examined <span class="html-italic">Apodemus flavicollis</span>.</p>
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<p>The co-occurrence of <span class="html-italic">Psorergates muricola</span> (<b>A</b>) and <span class="html-italic">Demodex corniculatus</span> (<b>B</b>) in the same skin fragment.</p>
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14 pages, 2930 KiB  
Brief Report
Identification of a New and Effective Marker Combination for a Standardized and Automated Bin-Based Basophil Activation Test (BAT) Analysis
by Johannes Groffmann, Ines Hoppe, Wail Abbas Nasser Ahmed, Yen Hoang, Stefanie Gryzik, Andreas Radbruch, Margitta Worm, Kirsten Beyer and Ria Baumgrass
Diagnostics 2024, 14(17), 1959; https://doi.org/10.3390/diagnostics14171959 - 4 Sep 2024
Viewed by 581
Abstract
(1) Background: The basophil activation test (BAT) is a functional whole blood-based ex vivo assay to quantify basophil activation after allergen exposure by flow cytometry. One of the most important prerequisites for the use of the BAT in the routine clinical diagnosis of [...] Read more.
(1) Background: The basophil activation test (BAT) is a functional whole blood-based ex vivo assay to quantify basophil activation after allergen exposure by flow cytometry. One of the most important prerequisites for the use of the BAT in the routine clinical diagnosis of allergies is a reliable, standardized and reproducible data analysis workflow. (2) Methods: We re-analyzed a public mass cytometry dataset from peanut (PN) allergic patients (n = 6) and healthy controls (n = 3) with our binning approach “pattern recognition of immune cells” (PRI). Our approach enabled a comprehensive analysis of the dataset, evaluating 30 markers to achieve optimal basophil identification and activation through multi-parametric analysis and visualization. (3) Results: We found FcεRIα/CD32 (FcγRII) as a new marker couple to identify basophils and kept CD63 as an activation marker to establish a modified BAT in combination with our PRI analysis approach. Based on this, we developed an algorithm for automated raw data processing, which enables direct data analysis and the intuitive visualization of the test results including controls and allergen stimulations. Furthermore, we discovered that the expression pattern of CD32 correlated with FcεRIα, anticorrelated with CD63 and was detectable in both the re-analyzed public dataset and our own flow cytometric results. (4) Conclusions: Our improved BAT, combined with our PRI procedure (bin-BAT), provides a reliable test with a fully reproducible analysis. The advanced bin-BAT enabled the development of an automated workflow with an intuitive visualization to discriminate allergic patients from non-allergic individuals. Full article
(This article belongs to the Special Issue Flow Cytometry in Laboratory Medicine)
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<p>Bin-based re-analysis of basophil activation. BAT mass cytometry cell data [<a href="#B10-diagnostics-14-01959" class="html-bibr">10</a>] were plotted in bins using CD123 and FcεRIα as x- and y-planes to separate basophils (upper right quadrant) from dendritic (DC) and other blood cells. (<b>A</b>) As a z-marker, the frequencies of CD63+ cells per bin were plotted with color coding, exemplified by control donor 2 (C2) and the peanut (PN)-allergic patient 3 (P3). The frequencies of CD63+ basophils are shown in red. (<b>B</b>) The frequencies for all donors are summarized. Healthy donors (HD) are represented by grey circles and PN-allergic donors are indicated by blue circles. IgE non-responders are shown as triangles. (<b>C</b>) As different z-markers, the cell intensities of HLA-DR, CRTH2 and CD32 are color-coded in the bins, and the frequencies of all cells per quadrant are given as black numbers in the corners. The cell intensities of HLA-DR, CRTH2 and CD32 are color-coded in the bins as different z-markers, and the frequencies of all cells per quadrant are indicated as black numbers in the corners.</p>
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<p>Bin-based analysis of CD32 expression in basophils. (<b>A</b>) BAT mass cytometry cell data [<a href="#B10-diagnostics-14-01959" class="html-bibr">10</a>] were plotted with the same x- and y-planes as in <a href="#diagnostics-14-01959-f001" class="html-fig">Figure 1</a> with CD32 as the z-parameter. The different color-coded bin statistics are cell density, CD32+ cell frequencies and CD32 mean signal intensities of all cells (MSI) or of only CD32+ cells (MSI+). The frequencies of cells in each quadrant are indicated in black, while the frequencies of the CD32+ basophils are indicated in red. (<b>B</b>) The CD32 expression intensity of all basophils from healthy (HD) and peanut (PN)-allergic donors is shown as violins, with 3% outliers removed. Medians are depicted by solid lines, 25% percentile as lower and 75% percentile as upper dashed lines.</p>
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<p>PRI visualization of flow cytometry-based BAT. Three-dimensional bin-based visualizations of basophil separation and basophil activation patterns using specific markers. (<b>A</b>) Basophil identification in the upper left quadrant in frequency bin plots using CD123<sup>low</sup> and FcεRIα<sup>high</sup> on the x- and y-axis and HLA-DR as an auxiliary marker on the z-axis. Bin colors reflect the frequency in the percent of HLA-DR+ cells within a bin. (<b>B</b>) Comparative basophil expression patterns as MSI+ bin plots for CD32/CD63 (negative correlation in stimulated conditions) and CD32/FcεRIα (positive correlation, lower raw). The bin colors reflect the mean signal intensity of cells per bin that are positive for the respective z-marker. (<b>C</b>) Statistical comparison of CD32 signal intensities on basophils between non-allergic patients (<span class="html-italic">n</span> = 71) and patients with allergies (<span class="html-italic">n</span> = 71). Wilcoxon matched-pairs signed rank test: z = −4.23, two-tailed <span class="html-italic">p</span>-value = 0.0006, <span class="html-italic">n</span> = 63, Pearson correlation coefficient = 0.7261.</p>
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<p>Validation of bin-based automatic BAT analysis workflow. (<b>A</b>) Correlation analysis of the frequencies of activated CD63+ basophils (CD63+) using CD32 (left panel) and CCR3 (right panel) as z-markers for bin-based automated BAT analysis compared to bin-based manual BAT analysis. Pearson correlation coefficients were calculated with <span class="html-italic">p</span>-values of &lt;0.0001 for CD32 and CCR3. The dataset includes 18 experiments with 195 individual samples measured on two different flow cytometers over a period of 10 months. (<b>B</b>) Validation of the bin-based automated BAT analysis with CD32 as an auxiliary z-marker by comparing CD63+ basophil frequencies from the automated workflow with the manual results. Outliers, defined as differences between automated and manual CD63+ intensities greater than Q3 + 1.5 times the interquartile range (IQR), are highlighted in grey. Pearson correlation coefficient was calculated with a <span class="html-italic">p</span>-value &lt; 0.001. This dataset includes 50 BATs with 1139 individual samples measured on one flow cytometer over a period of two years and five months.</p>
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14 pages, 14618 KiB  
Review
Systematic Review and Meta-Analysis of Clinical Efficacy and Safety of Meropenem-Vaborbactam versus Best-Available Therapy in Patients with Carbapenem-Resistant Enterobacteriaceae Infections
by Alexandra Bucataru, Adina Turcu-Stiolica, Daniela Calina, Andrei Theodor Balasoiu, Ovidiu Mircea Zlatian, Andrei Osman, Maria Balasoiu and Alice Elena Ghenea
Int. J. Mol. Sci. 2024, 25(17), 9574; https://doi.org/10.3390/ijms25179574 - 4 Sep 2024
Viewed by 299
Abstract
Antimicrobial resistance is increasingly concerning, causing millions of deaths and a high cost burden. Given that carbapenemase-producing Enterobacterales are particularly concerning due to their ability to develop structural modifications and produce antibiotic-degrading enzymes, leading to high resistance levels, we sought to summarize the [...] Read more.
Antimicrobial resistance is increasingly concerning, causing millions of deaths and a high cost burden. Given that carbapenemase-producing Enterobacterales are particularly concerning due to their ability to develop structural modifications and produce antibiotic-degrading enzymes, leading to high resistance levels, we sought to summarize the available data on the efficacy and safety regarding the combination of meropenem-vaborbactam (MV) versus the best available therapy (BAT). Articles related to our objective were searched in the PubMed and Scopus databases inception to July 2024. To assess the quality of the studies, we used the Cochrane risk-of-bias tool, RoB2. The outcomes were pooled as a risk ratio (RR) and a 95% confidence interval (95%CI). A total of four published studies were involved: one retrospective cohort study and three phase 3 trials, including 432 patients treated with MV and 426 patients treated with BAT (mono/combination therapy with polymyxins, carbapenems, aminoglycosides, colistin, and tigecycline; or ceftazidime-avibactam; or piperacillin-tazobactam). No significant difference in the clinical response rate was observed between MV and the comparators at the TOC (RR = 1.29, 95%CI [0.92, 1.80], p = 0.14) and EOT (RR = 1.66, 95%CI [0.58, 4.76], p = 0.34) visits. MV was associated with a similar microbiological response as the comparators at TOC (RR = 1.63, 95%CI [0.85, 3.11], p = 0.14) and EOT assessment (RR = 1.16, 95%CI [0.88, 1.54], p = 0.14). In the pooled analysis of the four studies, 28-day all-cause mortality was lower for MV than the control groups (RR = 0.47, 95%CI [0.24, 0.92], p = 0.03). MV was associated with a similar risk of adverse events (AEs) as comparators (RR = 0.79, 95%CI [0.53, 1.17], p = 0.23). Additionally, MV was associated with fewer renal-related AEs than the comparators (RR = 0.32, 95%CI [0.15, 0.66], p = 0.002). MV was associated with a similar risk of treatment discontinuation due to AEs (RR = 0.76, 95%CI [0.38, 1.49], p = 0.42) or drug-related AEs (RR = 0.56, 95%CI [0.28, 1.10], p = 0.09) as the comparators. In conclusion, MV presents a promising therapeutic option for treating CRE infections, demonstrating similar clinical and microbiological responses as other comparators, with potential advantages in mortality outcomes and renal-related AEs. Full article
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<p>PRISMA flow chart of the study selection.</p>
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<p>Summary of the risk of bias [<a href="#B20-ijms-25-09574" class="html-bibr">20</a>,<a href="#B21-ijms-25-09574" class="html-bibr">21</a>,<a href="#B22-ijms-25-09574" class="html-bibr">22</a>,<a href="#B23-ijms-25-09574" class="html-bibr">23</a>].</p>
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<p>Baseline pathogens. (<b>A</b>) <span class="html-italic">Klebsiella pneumoniae</span>. (<b>B</b>) <span class="html-italic">Escherichia coli</span>. (<b>C</b>) <span class="html-italic">Enterobacter cloacae</span> sp. (<b>D</b>) <span class="html-italic">Proteus mirabilis</span>. (<b>E</b>) <span class="html-italic">Serratia marcescens</span>. (<b>F</b>) <span class="html-italic">Enterococcus faecalis</span> [<a href="#B20-ijms-25-09574" class="html-bibr">20</a>,<a href="#B21-ijms-25-09574" class="html-bibr">21</a>,<a href="#B22-ijms-25-09574" class="html-bibr">22</a>,<a href="#B23-ijms-25-09574" class="html-bibr">23</a>].</p>
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<p>(<b>A</b>) Forest plot of the studies included in the meta-analysis of the clinical cure at the end of the treatment of meropenem-vaborbactam vs. comparators. (<b>B</b>) The funnel plot for the publication bias assessment of the included studies [<a href="#B20-ijms-25-09574" class="html-bibr">20</a>,<a href="#B21-ijms-25-09574" class="html-bibr">21</a>,<a href="#B22-ijms-25-09574" class="html-bibr">22</a>,<a href="#B23-ijms-25-09574" class="html-bibr">23</a>].</p>
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<p>(<b>A</b>) Forest plot of the studies included in the meta-analysis of the clinical cure at the test of cure between meropenem-vaborbactam vs. comparators. (<b>B</b>) The funnel plot for the publication bias assessment of the included studies [<a href="#B20-ijms-25-09574" class="html-bibr">20</a>,<a href="#B21-ijms-25-09574" class="html-bibr">21</a>,<a href="#B22-ijms-25-09574" class="html-bibr">22</a>,<a href="#B23-ijms-25-09574" class="html-bibr">23</a>].</p>
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<p>(<b>A</b>) Forest plot of the studies included in the meta-analysis of the microbiological rate at the end of treatment between meropenem-vaborbactam and comparators. (<b>B</b>) The funnel plot for the publication bias assessment of the included studies [<a href="#B20-ijms-25-09574" class="html-bibr">20</a>,<a href="#B21-ijms-25-09574" class="html-bibr">21</a>,<a href="#B22-ijms-25-09574" class="html-bibr">22</a>,<a href="#B23-ijms-25-09574" class="html-bibr">23</a>].</p>
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<p>(<b>A</b>) Forest plot of the studies included in the meta-analysis of the microbiological rate at the test of cure between meropenem-vaborbactam and comparators. (<b>B</b>) The funnel plot for the publication bias assessment of the included studies [<a href="#B20-ijms-25-09574" class="html-bibr">20</a>,<a href="#B22-ijms-25-09574" class="html-bibr">22</a>,<a href="#B23-ijms-25-09574" class="html-bibr">23</a>].</p>
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<p>(<b>A</b>) Forest plot of the 28-day all-cause mortality between meropenem-vaborbactam and comparators. (<b>B</b>) The funnel plot for the publication bias assessment of the included studies [<a href="#B20-ijms-25-09574" class="html-bibr">20</a>,<a href="#B21-ijms-25-09574" class="html-bibr">21</a>,<a href="#B22-ijms-25-09574" class="html-bibr">22</a>,<a href="#B23-ijms-25-09574" class="html-bibr">23</a>].</p>
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<p>(<b>A</b>) Forest plot of the risk of adverse events between meropenem-vaborbactam and comparators. (<b>B</b>) The funnel plot for the publication bias assessment of the included studies [<a href="#B20-ijms-25-09574" class="html-bibr">20</a>,<a href="#B21-ijms-25-09574" class="html-bibr">21</a>,<a href="#B22-ijms-25-09574" class="html-bibr">22</a>,<a href="#B23-ijms-25-09574" class="html-bibr">23</a>].</p>
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<p>(<b>A</b>) Forest plot of the risk of renal-related adverse events between meropenem-vaborbactam and comparators. (<b>B</b>) The funnel plot for the publication bias assessment of the included studies [<a href="#B20-ijms-25-09574" class="html-bibr">20</a>,<a href="#B21-ijms-25-09574" class="html-bibr">21</a>,<a href="#B22-ijms-25-09574" class="html-bibr">22</a>,<a href="#B23-ijms-25-09574" class="html-bibr">23</a>].</p>
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<p>(<b>A</b>) Forest plot of risk of discontinuation of study due to drug-related adverse events between meropenem-vaborbactam and comparators. (<b>B</b>) The funnel plot for the publication bias assessment of the included studies [<a href="#B20-ijms-25-09574" class="html-bibr">20</a>,<a href="#B21-ijms-25-09574" class="html-bibr">21</a>,<a href="#B22-ijms-25-09574" class="html-bibr">22</a>,<a href="#B23-ijms-25-09574" class="html-bibr">23</a>].</p>
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<p>(<b>A</b>) Forest plot of risk of discontinuation of study drug due to drug-related adverse events between meropenem-vaborbactam and comparators. (<b>B</b>) The funnel plot for the publication bias assessment of the included studies [<a href="#B20-ijms-25-09574" class="html-bibr">20</a>,<a href="#B22-ijms-25-09574" class="html-bibr">22</a>,<a href="#B23-ijms-25-09574" class="html-bibr">23</a>].</p>
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30 pages, 482 KiB  
Article
Motivation to Run in One-Day Cricket
by Paramahansa Pramanik and Alan M. Polansky
Mathematics 2024, 12(17), 2739; https://doi.org/10.3390/math12172739 - 2 Sep 2024
Viewed by 324
Abstract
This paper presents a novel approach to identify an optimal coefficient for evaluating a player’s batting average, strike rate, and bowling average, aimed at achieving an optimal team score through dynamic modeling using a path integral method. Additionally, it introduces a new model [...] Read more.
This paper presents a novel approach to identify an optimal coefficient for evaluating a player’s batting average, strike rate, and bowling average, aimed at achieving an optimal team score through dynamic modeling using a path integral method. Additionally, it introduces a new model for run dynamics, represented as a stochastic differential equation, which factors in the average weather conditions at the cricket ground, the specific weather conditions on the match day (including abrupt changes that may halt the game), total attendance, and home field advantage. An analysis of real data is been performed to validate the theoretical results. Full article
(This article belongs to the Special Issue Advances in Probability Theory and Stochastic Analysis)
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<p>Runs approximation of one-day matches with <math display="inline"><semantics> <mrow> <msub> <mi mathvariant="bold-italic">μ</mi> <mn>1</mn> </msub> <mo>=</mo> <mo>−</mo> <mn>0.0009843</mn> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msub> <mi mathvariant="bold-italic">μ</mi> <mn>2</mn> </msub> <mo>=</mo> <mn>0.8563</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi mathvariant="bold-italic">σ</mi> <mo>=</mo> <mn>1.288</mn> </mrow> </semantics></math>.</p>
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<p>The actual run dynamics of the last six one-day internationals played by India.</p>
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<p>Simulation of last one-day match with <math display="inline"><semantics> <mrow> <msub> <mi mathvariant="bold-italic">μ</mi> <mn>1</mn> </msub> <mo>=</mo> <mo>−</mo> <mn>0.000674</mn> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msub> <mi mathvariant="bold-italic">μ</mi> <mn>2</mn> </msub> <mo>=</mo> <mn>0.8567</mn> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <mi mathvariant="bold-italic">σ</mi> <mo>=</mo> <mn>1.22636</mn> </mrow> </semantics></math>.</p>
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<p>Relationship between coefficient of control and total number of balls delivered.</p>
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16 pages, 1963 KiB  
Article
Taxonomic, Functional, and Phylogenetic Diversity of Bats in Urban and Suburban Environments in Southern México
by Miguel Briones-Salas, Gabriela E. Medina-Cruz and Cintia Natalia Martin-Regalado
Diversity 2024, 16(9), 527; https://doi.org/10.3390/d16090527 - 1 Sep 2024
Viewed by 832
Abstract
Urbanization is one of the leading causes of habitat loss, which has increased significantly in tropical regions in recent years, leading to the loss of species, their ecological functions, and evolutionary history. To determine the effect of urbanization on the diversity of bat [...] Read more.
Urbanization is one of the leading causes of habitat loss, which has increased significantly in tropical regions in recent years, leading to the loss of species, their ecological functions, and evolutionary history. To determine the effect of urbanization on the diversity of bat communities in urban and suburban environments, we analyzed the α and β taxonomic, functional, and phylogenetic diversities at four sites along urbanization gradients surrounding a rapidly expanding city (Oaxaca City) in southern Mexico. We recorded bats using conventional techniques such as mist nets and acoustic monitoring. We calculated the diversity of bats in four sites with different urbanization conditions: urban (1), suburban (1), and rural (2). To assess the degree of total differentiation and components of bat turnover and nestedness between sites, we calculated the β taxonomic, functional, and phylogenetic diversities. A total of 33 bat species were recorded. The highest taxonomic and functional diversity was observed in the Center of Oaxaca (the site with the highest level of urbanization). In contrast, the highest phylogenetic diversity was found in the West (the site with the lowest level of urbanization). The total β taxonomic diversity was higher than the functional and phylogenetic diversity. Regarding the contributions of turnover and nestedness, turnover made a more significant contribution than nestedness to the taxonomic and phylogenetic β diversity. In contrast, functional nestedness contributed more to the functional β diversity than turnover. Tadarida brasiliensis, Desmodus rotundus, Sturnira hondurensis, and S. parvidens were recorded in all three urbanization conditions. In the most urbanized site, four Myotis species were recorded: M. fortidens, M. keaysi, M. thysanodes, and M. velifer. We suggest that the analysis of different dimensions of diversity is essential and should be considered to strengthen conservation strategies; moreover, we suggest the preservation of native vegetation mosaics and water bodies within the city to maintain bat diversity. Full article
(This article belongs to the Section Animal Diversity)
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<p>Geographic location of the study area in the Central Valleys of Oaxaca. The analyzed localities are indicated.</p>
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<p>Relationship between α taxonomic, functional, and phylogenetic diversities and the level of urbanization at four sites in the Central Valleys of Oaxaca, Mexico.</p>
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<p>Phylogenetic, functional, and taxonomic bats β diversities (i.e., total, turnover, and nestedness) in four sites in the Central Valleys of Oaxaca, México.</p>
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<p>UPGMA cluster analysis. The groups represent total taxonomic diversity (Taxoβjaccard), functional diversity (Funβjaccard), and phylogenetic diversity (Phyloβjaccard) of bats at four sites in the Central Valleys of Oaxaca, Mexico, based on Jaccard dissimilarity index and its turnover components (Taxoβturnover, Funβturnover, Phyloβturnover) and nestedness components (Taxoβnestedness, Funβnestedness, Phyloβnestedness).</p>
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10 pages, 1478 KiB  
Article
Spatial Clustering of Rabies by Animal Species in New Jersey, United States, from 1989 to 2023
by Shamim Sarkar and Jaymie R. Meliker
Pathogens 2024, 13(9), 742; https://doi.org/10.3390/pathogens13090742 - 30 Aug 2024
Viewed by 531
Abstract
Identifying spatial clusters of rabies in animals aids policymakers in allocating resources for rabies prevention and control. This study aimed to investigate spatial patterns and hotspots of rabies in different animal species at the county level in New Jersey. Data on animal rabies [...] Read more.
Identifying spatial clusters of rabies in animals aids policymakers in allocating resources for rabies prevention and control. This study aimed to investigate spatial patterns and hotspots of rabies in different animal species at the county level in New Jersey. Data on animal rabies cases from January 1989 to December 2023 were obtained from the New Jersey Department of Health and aggregated by county. Global Moran’s index (I) statistics were computed for each species to detect global spatial clustering (GeoDa version 1.22). Local Moran’s indicators of spatial association (LISA) were computed to identify local clusters of rabies. The results from the LISA analysis were mapped using ArcGIS Pro to pinpoint cluster locations. A total of 9637 rabies cases were analyzed among raccoons (n = 6308), skunks (n = 1225), bats (n = 1072), cats (n = 597), foxes (n = 225), and groundhogs (n = 210). A global Moran’s test indicated significant global spatial clustering in raccoons (I = 0.32, p = 0.012), foxes (I = 0.29, p = 0.011), and groundhogs (I = 0.37, p = 0.005). The LISA results revealed significant spatial clustering of rabies in raccoons and foxes in southeastern New Jersey and in groundhogs in northern New Jersey. These findings could guide the development of targeted oral rabies vaccination programs in high-risk New Jersey counties, reducing rabies exposure among domestic animals and humans. Full article
(This article belongs to the Section Epidemiology of Infectious Diseases)
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<p>Spatial distribution of rabies incidence by animal species in New Jersey from 1989 to 2023.</p>
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<p>(<b>a</b>) Local Moran’s I cluster map for rabies in raccoons. Counties labeled as high–high have high incidences of rabies and are surrounded by other counties with high incidences of rabies in animals. Likewise, counties marked as low–low have low incidences of rabies and are surrounded by other counties with low incidences of rabies. A significant high-risk cluster is shown in red, while a significant low-risk cluster is shown in blue. Areas with non-significant LISA values are blank (no color shading); (<b>b</b>) Local Moran’s I cluster map for rabies in foxes; (<b>c</b>) Local Moran’s I cluster map for rabies in groundhogs.</p>
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<p>(<b>a</b>) Local Moran’s I cluster map for rabies in raccoons. Counties labeled as high–high have high incidences of rabies and are surrounded by other counties with high incidences of rabies in animals. Likewise, counties marked as low–low have low incidences of rabies and are surrounded by other counties with low incidences of rabies. A significant high-risk cluster is shown in red, while a significant low-risk cluster is shown in blue. Areas with non-significant LISA values are blank (no color shading); (<b>b</b>) Local Moran’s I cluster map for rabies in foxes; (<b>c</b>) Local Moran’s I cluster map for rabies in groundhogs.</p>
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22 pages, 1594 KiB  
Project Report
New Additions to the Mammal List Documented in the Portuguese Red Data Book
by Maria da Luz Mathias, António Mira, Joaquim Tapisso, Ricardo Pita, Tomé Neves, João Alexandre Cabral, Paulo Barros, Ana Rainho, Paulo Célio Alves, João Queirós, Joana Paupério, Marisa Ferreira, Catarina Eira, Marina Sequeira and Luísa Rodrigues
Animals 2024, 14(17), 2514; https://doi.org/10.3390/ani14172514 - 29 Aug 2024
Viewed by 705
Abstract
This study outlines the procedures used for collecting, processing, and categorizing data on 16 new mammal species for mainland Portugal, belonging to four taxonomic groups: Eulipotyphla (1), Chiroptera (4), Rodentia (2), and Cetacea (9). Data collection and processing encompassed field and lab work [...] Read more.
This study outlines the procedures used for collecting, processing, and categorizing data on 16 new mammal species for mainland Portugal, belonging to four taxonomic groups: Eulipotyphla (1), Chiroptera (4), Rodentia (2), and Cetacea (9). Data collection and processing encompassed field and lab work and bibliographic compilation. Data categorization involves, whenever possible, the assessment of the approximate number of mature individuals in populations, the extent of occurrence, and the area of occupancy. The approach employed led to the classification of eight out of the 16 species into an IUCN category: two non-volant small mammals and one bat species were designated as Vulnerable, requiring ongoing monitoring; one rodent and three cetaceans were assigned to Data Deficient due to insufficient available information; and a single bat species was classified as Least Concern due to the high abundance of local populations. For small mammals and bats, alterations to natural systems and climate change emerged as the most relevant threatening factors, while for cetaceans, human activities such as fishing, commercial shipping, and tourism were identified as the primary survival risks. It is recommended to maintain action programs that assist in defining strategic orientations for the implementation of conservation measures on a case-by-case basis. Full article
(This article belongs to the Section Mammals)
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<p>Confirmed occurrence of recently identified small mammal species in mainland Portugal: (<b>A</b>) <span class="html-italic">Neomys anomalus</span>, (<b>B</b>) <span class="html-italic">Chionomys nivalis</span>, and (<b>C</b>) <span class="html-italic">Microtus rozianus</span>.</p>
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<p>Confirmed occurrence of recently identified bat species in mainland Portugal: (<b>A</b>) <span class="html-italic">Eptesicus isabellinus</span>, (<b>B</b>) <span class="html-italic">Myotis crypticus</span>, (<b>C</b>) <span class="html-italic">Myotis alcathoe</span>, and (<b>D</b>) <span class="html-italic">Myotis escalerai</span>.</p>
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<p>Records of strandings of (<b>A</b>) <span class="html-italic">Stenella frontalis</span>, (<b>B</b>) <span class="html-italic">Mesoplodon bidens</span> and (<b>C</b>) <span class="html-italic">M. mirus</span>.</p>
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15 pages, 2037 KiB  
Article
Innovation Off the Bat: Bridging the ChatGPT Gap in Digital Competence among English as a Foreign Language Teachers
by Gulsara Urazbayeva, Raisa Kussainova, Aikumis Aibergen, Assel Kaliyeva and Gulnur Kantayeva
Educ. Sci. 2024, 14(9), 946; https://doi.org/10.3390/educsci14090946 - 28 Aug 2024
Viewed by 544
Abstract
This research explores the guided experimental implementation of ChatGPT as a tool for developing teachers’ skills in teaching English. The intervention involved 24 in-service English as a Foreign Language (EFL) teachers who engaged in crafting activities and assessments using researcher-designed prompts. Utilizing a [...] Read more.
This research explores the guided experimental implementation of ChatGPT as a tool for developing teachers’ skills in teaching English. The intervention involved 24 in-service English as a Foreign Language (EFL) teachers who engaged in crafting activities and assessments using researcher-designed prompts. Utilizing a mixed-methods approach, the researchers assessed the participants’ ChatGPT integration proficiency through a custom-designed assessment tool aligned with the technological pedagogical content knowledge framework. The eight-week intervention introduced educators to various applications of ChatGPT in EFL teaching, including lesson planning. A quantitative analysis revealed statistically significant improvements in the teachers’ ChatGPT integration proficiency across all measured dimensions. The qualitative findings highlight the perceived benefits, challenges, and future prospects of ChatGPT in EFL education. While the practical significance of the improvement was modest, the results suggest that the guided integration of generative chatbots can bolster teachers’ ability to leverage this technology appropriately. This study contributes to the limited body of empirical research on integrating large language models into teaching and offers insights into the practical applications and challenges of using ChatGPT in EFL contexts. Full article
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<p>A flowchart of the study.</p>
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<p>An exemplary prompt.</p>
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<p>ChatGPT integration proficiency scores prior to and after treatment.</p>
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12 pages, 819 KiB  
Review
A New Overview of Sex Bias in Fungal Infections
by Hari H. Rao and Erin E. McClelland
J. Fungi 2024, 10(9), 607; https://doi.org/10.3390/jof10090607 - 26 Aug 2024
Viewed by 397
Abstract
Fungal infections often disproportionately affect males over females. Since the NIH mandated in 2016 that researchers test their hypotheses in both biological sexes, numerous other fungal infections/colonizations have been found to exhibit sex-specific patterns. These patterns have been observed in various species, including [...] Read more.
Fungal infections often disproportionately affect males over females. Since the NIH mandated in 2016 that researchers test their hypotheses in both biological sexes, numerous other fungal infections/colonizations have been found to exhibit sex-specific patterns. These patterns have been observed in various species, including mice, drosophila, cats, and bats, suggesting significant implications for understanding these diseases and developing treatments. Despite the recognition of this sex bias, primary research explaining its underlying causes or mechanisms remains limited. Current evidence suggests that potential causes might be linked to sex hormones, genetic expression, and evolutionary behaviors. This review consolidates recent data on sex bias in fungal infections or colonizations among different species and proposes future research directions to address existing gaps. Thus, this review advances the comprehension of the intricate relationships between biological sex, fungal infections, and broader health implications. Full article
(This article belongs to the Special Issue Cryptococcus Infections and Pathogenesis)
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<p>Various fungi and hosts that show a sex bias during infection or colonization. Figure created using BioRender.</p>
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