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Introduction: Human brucellosis, caused by the bacteria Brucella, is a significant infectious disease globally, also known as Mediterranean fever or Malta fever. Methods: This meta-analysis and systematic review focuses on the prevalence rate, risk factors, and diagnostic methods of human brucellosis in Middle Eastern countries, where the disease remains a significant public health issue. The analysis included 92 studies conducted between 1993 and 2024, following specified inclusion and exclusion criteria among symptomatic patients across these countries. The prevalence rate was calculated by dividing positive samples by total samples. The I2 index and Chi-squared test assessed study heterogeneity. Significant heterogeneity occurred when I2 exceeded 50 %. Results: The highest prevalence rate was observed in Oman, Lebanon, and Kuwait countries, emphasizing a notable burden of Brucella infection in these regions. Risk factors associated with human brucellosis were identified, with unpasteurized dairy consumption and close animal contact being predominant. Various professions such as farmers, dairy factory workers, and agriculture workers showed higher prevalence rate. Gender analysis indicated a prevalence rate of 18.02 % (95 % CI: 11.55-25.51 %) in males and 13.61 % (95 % CI: 10.8-16.68 %) in females, with no significant difference in hospitalization rates. The prevalence rate of Brucella spp. was varied across detection methods, with immunocapture agglutination assay (Brucellacapt) showing the highest estimated prevalence rate of (44.04 %, 95 % CI: 27.71-61.04), followed by PCR (39.84 %, 95 % CI: 20.14-61.39) and culture (29.22 %, 95 % CI: 17.89-42.03). Among Brucella species, Brucella melitensis (B. melitensis) and Brucella abortus (B. abortus) were the highest prevalence rate. Although statistically insignificant, the meta-analysis also revealed an upward trend in prevalence rate from 1993 to 2024, (P value = 0.277). Discussion: This comprehensive review emphasizes the need for tailored strategies to control brucellosis in the Middle East, highlighting the importance of timely diagnosis, public awareness, and effective treatment protocols. These findings provide valuable insights for policymakers and healthcare professionals working to mitigate the impact of this disease in the region.
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Staphylococcus aureus is gaining worldwide attention because of its substantial impact on public health. The current study aimed to characterize S. aureus strains isolated from wild birds in the Kasur district of Punjab, Pakistan from 2021 to 2022. A total of one hundred samples were collected from five wild bird species. The samples were enriched, inoculated on selective agars and cultured for 24 hr at 37.00 ËC. All isolates were verified by matrix-assisted laser desorption ionization-time-of-flight mass spectrometry (MALDI-TOF MS) and polymerase chain reaction (PCR) after Gram staining. Positive isolates were screened for phenotypic (Kirby-Bauer disk diffusion and minimum inhibitory concentration s), genotypic antibiotic resistance, and virulence genes. These samples yielded 30 (30.00%) S. aureus isolates, confirmed by polymerase chain reaction utilizing the 16S rRNA gene. Staphylococcus aureus was more prevalent in cloacal samples (16.00%) than oral samples (14.00%). Various S. aureus isolates showed varying degrees of resistance to three different antibiotics. Oxacillin (56.66%; n = 17) and tetracycline (33.33%; n = 10) showed the highest resistance rates with the lowest susceptibility (43.33%; n = 13). In contrast, vancomycin, rifampicin, linezolid, and daptomycin were 100% susceptible. Further disc diffusion study revealed resistance to tetracycline (33.33%), erythromycin (16.66%), and gentamicin (10.00%). The tetK gene was found in 33.33% of wild bird samples, while the ermA gene was found in 16.66% of samples. The aacA-D gene was only found in three (10.00%) isolates. None of the isolates tested positive for virulence genes. In conclusion, S. aureus is carried by wild birds in this area, posing a potentail threat to both humans and animals.
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OBJECTIVES: This study sought to detect and characterize influenza A (IAV) and influenza D (IDV) viruses circulating among commercial birds and shop owners in Pakistan's live bird markets. METHODS: Oropharyngeal swabs (n = 600; n = 300 pools) collected from poultry and nasopharyngeal swabs (n = 240) collected from poultry workers were studied for molecular evidence of IAV and IDV using real-time and conventional real-time reverse transcription polymerase chain reaction protocols. RESULTS: Nineteen (6.3%) poultry pools were positive for IAV and 73.9% of these were positive for H9N2 subtypes. Two (0.83%) poultry workers had evidence of IAV, and both were also H9N2 subtypes. The poultry and human IAV-positive specimens all clustered phylogenetically by Sanger and next-generation sequencing with previously detected H9N2 poultry isolates. No field specimens were positive for IDV. CONCLUSION: H9N2 IAV is likely enzootic in Punjab Province Pakistan's live bird markets and may be colonizing the noses of workers and market visitors. Regular monitoring for avian influenza-associated human illness in Punjab seems to be a needed public measure.
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Subtipo H9N2 del Virus de la Influenza A , Gripe Aviar , Gripe Humana , Filogenia , Aves de Corral , Subtipo H9N2 del Virus de la Influenza A/genética , Subtipo H9N2 del Virus de la Influenza A/aislamiento & purificación , Subtipo H9N2 del Virus de la Influenza A/clasificación , Pakistán/epidemiología , Animales , Humanos , Gripe Aviar/virología , Gripe Aviar/epidemiología , Gripe Humana/virología , Gripe Humana/epidemiología , Aves de Corral/virología , Orofaringe/virología , Nasofaringe/virologíaRESUMEN
In the last two decades or so, a large number of image ciphers have been written. The majority of these ciphers encrypt only one image at a time. Few image ciphers were written which could encrypt multiple images in one session. The current era needs speedy multiple image ciphers to address its varied needs in different settings. Motivated by this dictation, the current study has ventured to write a multi-image cipher based on the fleet of pawns walking in the large hypothetical chessboard. This walk of pawns on the chessboard has been ingeniously linked with transferring the pixels from the plain image to the scrambled image. The confusion effects have been realized through the XOR operation between the scrambled image and the key image. The plaintext sensitivity has been incorporated by embedding the SHA-384 hash codes of the given large combined plain image. Moreover, the Henon map has been employed to spawn the streams of random numbers. Besides, Blum Blum Shub random number generator has been used to further cement the security of the proposed cipher. We got a computational time of 0.2278 seconds and an encryption throughput of 5.5782 MBit/seconds by using the four images with a size of 256×256. Apart from that, the information entropy gained is 7.9993. Lastly, the cipher has been subjected to an array of validation metrics to demonstrate its aversion to the myriad threats from the cryptanalysis savvy. We contend that the proposed work has great potential for some real-world applications.
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Algoritmos , Humanos , Seguridad ComputacionalRESUMEN
Exosomes are nanoscale membrane bound vesicles secreted by almost all types of cells. Their unique attributes, such as minimal immunogenicity and compatibility with biological systems, make them novel carriers for drug delivery. These native exosomes harbor proteins, nucleic acids, small molecule compounds, and fluorogenic agents. Moreover, through a combination of chemical and bioengineering methodologies, exosomes are tailored to transport precise therapeutic payloads to designated cells or tissues. In this review, we summarize the strategies for exosome modification and drug loading modalities in engineered exosomes. In addition, we provide an overview of the advances in the use of engineered exosomes for targeted drug delivery. Lastly, we discuss the merits and limitations of chemically engineered versus bioengineered exosome-mediated target therapies. These insights offer additional options for refining engineered exosomes in pharmaceutical development and hold promise for expediting the successful translation of engineered exosomes from the bench to the bedside.
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Background: Human brucellosis is a neglected disease transmitted to humans from animals such as cattle, goats, dogs, and swine. The causative agents are bacteria of the genus Brucella, intracellular pathogens usually confined to the reproductive organs of their animal hosts causing sterility and abortions. The objective of the study was to determine the seroprevalence of brucellosis among women with spontaneous abortions (SAW) and compare this seroprevalence with that of healthy pregnant women (HPW). Methods: The case-control study was designed to determine the seroprevalence and molecular detection of brucellosis in women who suffered from spontaneous abortion and healthy pregnant women of the Haripur District of Pakistan. A total of 770 blood samples (n = 385 for each group) were collected from 9 public and 11 private hospitals in Haripur District from December 2021-March 2023. Data on demographic features, epidemiological variables, and risk factors were collected from each participant by structured questionnaires. Initial screening for brucellosis was performed by Rose Bengal Plate Test followed by qRT-PCR for molecular detection of the genus-specific BCSP-31 gene of Brucella. Results: The study showed that anti-Brucella antibodies were more found in SAW 23.63% (91/385) than in HPW 1.29% (5/385). Brucella specific DNA was amplified in 89.01% (81/91) seropositive samples of SAW. Demographic features and risk factors such as age, urbanicity, socioeconomic status, education, occupation, and animal contact were found significantly associated with brucellosis (p ≤ 0.05). Consumption of unpasteurized raw milk (OR = 18.28, 95%CI: 8.16-40.94) was found highly concomitant with seroprevalence. Conclusion: This study reports the first evidence of involvement of brucellosis in spontaneous abortions in women of Pakistan. The study can be used to develop strategies for risk management during pregnancy, to raise awareness for brucellosis, and develop control programs.
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Aborto Espontáneo , Brucella , Brucelosis , Humanos , Femenino , Pakistán/epidemiología , Estudios Seroepidemiológicos , Brucelosis/epidemiología , Adulto , Estudios de Casos y Controles , Embarazo , Aborto Espontáneo/microbiología , Aborto Espontáneo/epidemiología , Brucella/aislamiento & purificación , Factores de Riesgo , Adulto Joven , Adolescente , AnimalesRESUMEN
Straw mulching incorporation has a wide range of environmental benefits that make it an effective practice for sustainable agro-ecosystem in the semi-arid regions. There is an urgent need to improve the 13C-photosynthates distribution, water use efficiency (WUE) and maize canopy characteristics under the diverse tillage practices with straw mulched management strategies for sustainable intensification of maize production. The field study consists of three diverse tillage systems (RT: rotary tillage; CT, conventional tillage; MT, minimum tillage) with three straws mulching (NS: no straw mulch; SS: straw mulch on the soil surface; SI: straw incorporated into the soil) were assessed under the ridge-furrow rainfall harvesting system. Our results showed that the rotary tillage with straw incorporated into the soil significantly reduces the ET rate (11 %), and leaf rolling index; as a result considerably improves LAI, LEI, 13C-photosynthates distribution, N accumulation, and above ground biomass under various growth stages. The RTSI treatment significantly improved soil water storage, soil organic carbon (52 %, SOC), soil C storage (39 %, SCS), and NPK nutrients uptake (70 %, 62 %, and 69 %) of maize than observed for the rest of all other treatments, respectively. The RTSI treatment improves soil water balance, grain yield (53 %), biomass yield (37 %), WUEg (51 %), WUEb (35 %), nutrients uptake, and mitigating soil water depletion than the MTNS treatment. Although RTSS can achieve optimal soil water storage in the short term, RTSI has a great potential in improving soil carbon stability, canopy characteristics, soil water storage, and WUE, contributing to sustainable and intensive corn production in agricultural ecosystems in semi-arid regions.
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The primary goal of this research is to look into the impact of digital campaigns for environmental and economic incentives on environmental performance, with indoor and outdoor activities of households taken as mediating variables. PLS-SEM was used to evaluate and quantify the novel and complex model to meet the study's goals. Furthermore, data were gathered from 1542 Pakistani households using convenient sampling techniques. The study's findings show that digital campaigns and economic incentives significantly increase household's participation in indoor and outdoor activities, which improves environmental performance. This study contributes to the literature on environmental performance by examining digital campaigns and economic incentives as resilient influencers. Furthermore, this study assists authorities in developing an effective and efficient policy that promotes environmental savaging information while providing economic incentives to encourage the activities. At the same time, it emphasizes environmental concerns and how they can be addressed.
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Composición Familiar , Motivación , Humanos , Pakistán , AmbienteRESUMEN
The Jinhua-Quzhou basin in China is one of the most susceptible areas to drought. Due to the loss of vegetation and great fluctuations in rainfall and surface temperature, global warming occurs. Timely, accurate, and effective drought monitoring is crucial for protecting local vegetation and determining which vegetation is most vulnerable to increased LST during the period 1982-2019. It assumes a strong correlation between loss of vegetation cover, changes in monsoon climate, drought, and increases in land surface temperature (LST). Due to significantly increased in LST, low precipitation and vegetation cover, NDVI, TVDI, VCI, and NAP are useful in characterizing drought mitigation strategies. The temperature vegetation drought index (TVDI), normalized difference vegetation index (NDVI), vegetation condition index (VCI), and monthly precipitation anomaly percentage (NAP) can be helped to characterize drought reduction strategies. Monthly NDVI, NAP, VCI, TVDI, normalized vegetation supply water index (NVSWI), temperature condition index (TCI), vegetation health index (VHI), and heat map analysis indicate that the Jinhua-Quzhou basin experienced drought during 1984, 1993, 2000, and 2011. Seasonal SR, WVP, WS, NDVI, VCI, and NAP charts confirm that the Jinhua-Quzhou basin was affected by severe drought in 1984, which continued and led to severe droughts in 1993, 2000, and 2011. Regression analysis showed a significant positive correlation between NDVI, TVDI, VCI, and NAP values, while NVSWI, TVDI, and VHI showed positive signs of good drought monitoring strategies. The research results confirm the correlation between loss of vegetation cover and LST, which is one of the causes of global warming. The distribution of drought changed a trend indicating that compared with the Jinhua region; the Quzhou region has more droughts. The changing trend of drought has characteristics from 1982 to 2019, and there are significant differences in drought changing trends between different Jinhua-Quzhou basin areas. Overall, from 1982 to 2019, the frequency of drought showed a downward trend. We believe that these results will provide useful tools for drought management plans and play a relevant role in mitigating the effects of drought and protecting humanity from climate hazards.
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Monitoreo del Ambiente , Tecnología de Sensores Remotos , Temperatura , China , Monitoreo del Ambiente/métodos , Cambio Climático , Sequías , Clima , Estaciones del Año , LluviaRESUMEN
Droughts have become more severe and frequent due to global warming. In this context, it is widely accepted that for drought assessments, both water supply (rainfall) and demand (standardized precipitation evapotranspiration index, SPEI) should be considered. Using SPEI, we explored the spatial-temporal patterns of dry and wet annual and seasonal changes in five sub-regions of East Asia during 1902-2018. These factors are linked to excess drought frequency and severity on the regional scale, and their effect on vegetation remains an important topic for climate change studies. Our results show that the SPEI significantly improved extreme drought and mostly affected the SPEI-06 and SPEI-12 growing seasons in East Asia during 1981-2018. The dry and wet annual SPEI trends mostly affect the five sub-regions of East Asia. The annual SPEI had two extremely dry spells during 1936-1947 and 1978-2018. Japan, South Korea, and North Korea are wet in the summer compared to other regions of East Asia, with drought frequency occurring at 51.4%, respectively. The mean drought frequencies in China and Mongolia are 57.4% and 54.6%. China and Mongolia are the driest regions in East Asia due to high drought frequency and duration. The spatial seasonal analysis of solar radiation (SR), water vapor pressure (WVP), wind speed (WS), vegetation condition index (VCI), temperature condition index (TCI), and vegetation health index (VHI) have confirmed that the East Asia region suffered from maximum drought events. The seasonal variation of SPEI shows no clear drying trends during summer and autumn seasons. During the winter and spring seasons, there was a dry trend in East Asia region. During 1902-1990, a seasonal SPEI presented diverse characteristics, with clear wet trends in Japan, Mongolia, and North Korea in four different growing seasons, with dry trends in China and South Korea. During 1991-2018, seasonal SPEI presented clear dry trends in Japan, Mongolia, and North Korea in different growing seasons, while China and South Korea showed a wet trend during the spring, autumn, and winter seasons. This ecological and climatic mechanism provides a good basis for the assessment of vegetation and drought-change variations within East Asia. An understandings of long-term vegetation trends and the effects of rainfall and SPEI on droughts of varying severity is essential for water resource management and climate change adaptation. Based on the results, water resources will increase under global warming, which may alleviate the water scarcity issue in the East Asia region.
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Estimating skeletal muscle (SM) and adipose tissues is an invaluable prognostic indicator in cancer treatment, major surgeries, and general health screening. Body composition is usually measured with abdominal computed tomography (CT) scans acquired in clinical settings. The whole-body SM volume is correlated with the estimated SM based on the measurement of a single two-dimensional vertebral slice. It is necessary to label a CT image at the pixel level to estimate SM, known as semantic segmentation. In this work, we trained a segmentation model using the labeled abdominal CT slices and the additional unlabeled slices. In particular, we trained two identical segmentation networks with differently initialized weights. Network Consistency Learning (NCL) allowed learning from unlabeled images by forcing the predictions from both networks to be the same. We segmented abdominal CT images from a newly created in-house dataset. The proposed approach gained 10% better performance in terms of Dice similarity score (DSC) than that obtained by a standard supervised network demonstrating the effectiveness of NCL in exploiting unlabeled images.Clinical relevance- An efficient and cost-effective method is proposed for assessing body composition from limited labeled and abundant unlabeled CT images to facilitate fast diagnosis, prognosis, and interventions.
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Abdomen , Tomografía Computarizada por Rayos X , Abdomen/diagnóstico por imagen , Composición Corporal , Tejido Adiposo , Músculo EsqueléticoRESUMEN
Cell nuclei segmentation is crucial for analyzing cell structure in different tasks, i.e., cell identification, classification, etc., to treat various diseases. Several convolutional neural network-based architectures have been proposed for segmenting cell nuclei. Although these methods show superior performance, they lack the ability to predict reliable masks when using biomedical image data. This paper proposes a novel Dynamic Token-based Attention Network (DTA-Net). Combining convolutional neural networks (CNN) with a vision transformer (ViT) allows us to capture detailed spatial information from images efficiently by encoding local and global features. Dynamic Token-based Attention (DTA) module calculates attention maps keeping the overall computational and training costs minimal. For the nuclei segmentation task on the 2018 Science Bowl dataset, our proposed method outperformed SOTA networks with the highest Dice similarity score (DSC) of 93.02% and Intersection over Union (IoU) of 87.91% without using image pre- or post-processing techniques. The results showed that high-quality segmentation masks could be obtained by configuring a ViT in the most straight forward manner.Clinical relevance- In this work, the segmentation of cell nuclei in microscopy images is carried out automatically, irrespective of their appearance, density, magnification, illumination, and modality.
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Núcleo Celular , Suministros de Energía Eléctrica , Iluminación , Máscaras , MicroscopíaRESUMEN
Climate change is one of the most prominent factors influencing the spatial distribution of plants in China, including gymnosperms. Climatic factors influence gymnosperm distribution along elevational gradients on the Qinghai-Xizang (Tibet) Plateau (QTP), and understanding how species adapt to these factors is important for identifying the impacts of global climate change. For the first time, we examined the county-level distribution of gymnosperm species on QTP using data from field surveys, published works, monographs, and internet sources. We used simulated distribution data of gymnosperms (N = 79) along the elevational gradients to investigate the overall impact of environmental variables in explaining the richness pattern of gymnosperms. Eighteen environmental variables were classified into three key variable sets (climatic seasonality, energy-water, and physical tolerance). We employed principal component analysis and generalized linear models to assess the impact of climatic variables on the gymnosperm's richness pattern. Gymnosperm species are unevenly distributed across the plateau and decline gradually from the southeast to the northwest. The altitudinal gradients have a unimodal relationship with the richness of gymnosperms, with the maximum species richness at an elevation of 3200 m. The joint effects of physical tolerance and energy-water predictors have explained the highest diversity of gymnosperms at mid-elevation. Because the richness peak correlates significantly with the wettest month's precipitation and moisture index, this confirms the significance of moisture on gymnosperm distributions due to increased precipitation during the wet season. Furthermore, our results provide evidence that climatic seasonality factors are involved in the decline of gymnosperm richness at high elevations. A total of 37% of gymnosperm species on QTP are listed as vulnerable, nearly threatened, or endangered, with elevations ranging from 600 m to 5300 m. As a result, we conclude that gymnosperms are at high risk of extinction because of the current climate fluctuations caused by global climate change. Our research offers fundamental data for the study and protection of gymnosperm species along the steepest elevation gradients.
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Climate change and variability are projected to alter the geographic suitability of lands for crops cultivation. Accurately predicting changes in the potential current and future land suitability distribution dynamics of wheat (Triticum aestivum), soybean (Glycine max) and rice (Oryza sativa) crops due to climate change scenarios is critical to adapting and mitigating the impacts of bioclimatic changes, and plays a significant role in securing food security in East Asia region. This study compiled large datasets of wheat, soybean and rice occurrence locations from GBIF and 19 bioclimatic variables obtained from the WorldClim database that affect crops growth. We recognized potential future suitable distribution regions for crops under the one socioeconomic pathway, (SSP585) for 2021-2040 and 2041-2060, using the MaxEnt model. The accuracy of the MaxEnt was highly significant with mean AUC values ranging from 0.833 to 0.882 for all models evaluated. The jackknife test revealed that for wheat, Bio4 and Bio12 contributed 17.6% and 12.6%, for soybean Bio10 and Bio12 contributed 15.6% and 49.5%, while for rice Bio12 and Bio14 contributed 12.9% and 36.0% to the MaxEnt model. In addition, cultivation aptitude for wheat, soybean, and rice increased in southeast China, North Korea, South Korea, and Japan, while decreasing in Mongolia and northwest China. Climate change is expected to increase the high land suitability for wheat, soybean, and rice in East Asia. Simulation results indicate an average decrease of unsuitable areas of -98.5%, -41.2% and -36.3% for wheat, soybean and rice from 2060 than that of current land suitability. In contrast, the high land suitable for wheat, soybean and rice cultivation is projected to increase by 75.1%, 68.5% and 81.9% from 2060 as compared with current. The findings of this study are of utmost importance in the East Asia region as they present an opportunity for policy makers to develop appropriate adaptation and mitigation strategies required to sustain crops distribution under future climates. Although the risks of wheat, soybean and rice cultivation may be significantly higher in the future because of high temperatures, heat waves, and droughts caused by climate change.
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Oryza , Triticum , Glycine max , Productos Agrícolas , Asia Oriental , Cambio ClimáticoRESUMEN
Antibiotic resistance in uropathogens has increased substantially and severely affected treatment of urinary tract infections (UTIs). Lately, some new formulations, including meropenem/vaborbactam (MEV), ceftazidime/avibactam (CZA), and ceftolozane/tazobactam (C/T) have been introduced to treat infections caused by drug-resistant pathogens. This study was designed to screen Enterobacteriales isolates from UTI patients and to assess their antimicrobial resistance pattern, particularly against the mentioned (new) antibiotics. Phenotypic screening of extended-spectrum ß-lactamase (ESBL) and carbapenem resistance was followed by inhibitor-based assays to detect K. pneumoniae carbapenemase (KPC), metallo-ß-lactamase (MBL), and class D oxacillinases (OXA). Among 289 Enterobacteriales, E. coli (66.4%) was the most predominant pathogen, followed by K. pneumoniae (13.8%) and P. mirabilis (8.3%). The isolates showed higher resistance to penicillins and cephalosporins (70-87%) than to non-ß-lactam antimicrobials (33.2-41.5%). NDM production was a common feature among carbapenem-resistant (CR) isolates, followed by KPC and OXA. ESBL producers were susceptible to the tested new antibiotics, but NDM-positive isolates appeared resistant to these combinations. KPC-producers showed resistance to only C/T. ESBLs and carbapenemase encoding genes were located on plasmids and most of the genes were successfully transferred to recipient cells. This study revealed that MEV and CZA had significant activity against ESBL and KPC producers.
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The global epidemiological significance of bats and their blood-sucking ectoparasites is increasingly recognized. However, relevant data are scarce from Pakistan where the Palearctic and Oriental zoogeographic regions meet. In this study, 200 bats belonging to five species were examined for the presence of ectoparasites in Pakistan. Bat flies were found only on Leschenault's fruit bat (Rousettus leschenaultii). The prevalence of infestation did not correlate with habitat type and host traits including age, reproductive status, and sex. All bat flies represented the same Eucampsipoda species which was shown to be morphologically different from all species of its genus with known south Asian distribution and belonged to a separate phylogenetic group. These results highlight the existence of a hitherto undescribed bat fly species in southern Asia, which is not shared by the fruit bat species (R. leschenaultii) and insectivorous ones (e.g., Rhinopoma microphyllum) thus probably playing a role only in intraspecific transmission of pathogens.
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Quirópteros , Dípteros , Animales , Filogenia , Sur de Asia , PakistánRESUMEN
Bartonella can infect a variety of mammals including humans and has been detected in the Americas, Europe, Africa, and Asia. Roughly two-thirds of identified Bartonella species are found and maintained in rodent reservoirs, with some of these species linked to human infections. Rodents (N=236) were caught from the Sahiwal division of Punjab, Pakistan and tested for Bartonella using PCR targeting gltA and rpoB genes, followed by sequencing of rpoB-positive samples. Genetic relatedness to other published Bartonella spp. rpoB gene sequences were examined using BLAST and phylogenetic analysis. Overall, 7.62% (18/236) of rodents were positive for both gltA and rpoB fragments. Rattus rattus and R. norvegicus had 7.94% (12/151) and 7.05% (6/85) positivity rates for Bartonella DNA, respectively. Phylogenetic analysis revealed a close relatedness between Bartonella spp. from Pakistan to Bartonella spp. from China, Nepal, and Malaysia. This study is the first reported detection of Bartonella spp. in R. rattus and R. norvegicus from the Sahiwal area of Punjab, Pakistan.
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Infecciones por Bartonella , Bartonella , Ratas , Animales , Humanos , Bartonella/genética , Infecciones por Bartonella/epidemiología , Infecciones por Bartonella/veterinaria , Pakistán/epidemiología , Filogenia , Epidemiología Molecular , Mamíferos , RoedoresRESUMEN
Because of its distinct geological history, frigid temperature, and rich biodiversity, the Tibetan Plateau gives an excellent opportunity to assess the effect of climate change on determining species richness. The distribution patterns of fern species richness and their underlying processes have long been a matter of debate in ecology research, with various hypotheses suggested over the years. Here, we explore richness patterns of fern species in Xizang on the southern and western Tibetan Plateau along an elevational gradient (100-5300 m a.s.l.) and evaluate climatic factors causing the spatial decrease and increase of fern species richness. We used regression and correlation analyses to relate the species richness with elevation and climatic variables. Throughout our research, we identified 441 fern species from 97 genera and 30 families. The Dryopteridaceae family (S = 97) has the highest number of species. All energy-temperature and moisture variables except drought index (DI) had a significant correlation with elevation. The altitude has a unimodal relationship with fern species, and the species richness is the largest at an altitude of 2500 m. The horizontal richness pattern of fern species on the Tibetan Plateau also showed that areas of extremely high species richness are mainly distributed in Zayü and Mêdog County, with an average elevation of 2800 m and 2500 m, respectively. The richness of fern species has a log-linear relationship with moisture-related factors such as moisture index (MI), mean annual precipitation (MAP), and drought index (DI). Because the peak corresponds spatially with the MI index, the unimodal patterns confirm the significance of moisture on fern distributions. Our results showed that mid-altitudes have the highest species richness (high MI), but high elevations have lower richness due to high solar radiation, and low elevations have lower richness due to high temperatures and low precipitation. Twenty-two of the total species are classified as nearly threatened, vulnerable or critically endangered, and varied in elevation from 800 m to 4200 m. Such relationships between the distribution and richness of fern species and climates on the Tibetan Plateau can provide data support for future predictions of the impacts of climate change scenarios on fern species, the ecological protection of representative fern species, and references for the planning and construction of nature reserves in the future.
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Hypervirulent Aeromonas hydrophila (vAh) has emerged as the etiologic agent of epidemic outbreaks of motile Aeromonas septicemia (MAS) in high-density aquaculture of farmed carp in China and catfish in the United States, which has caused millions of tons of lost fish. We conducted a global survey to better understand the evolution, geographical distribution, and phylogeny of vAh. Aeromonas isolates were isolated from fish that showed clinical symptoms of MAS, and pure cultures were screened for the ability to utilize myo-inositol as the sole carbon source. A total of 113 myo-inositol-utilizing bacterial strains were included in this study, including additional strains obtained from previously published culture collections. Based on a gyrB phylogeny, this collection included 66 A. hydrophila isolates, 48 of which were vAh. This collection also included five new vAh isolates from diseased Pangas catfish (Pangasius pangasius) and striped catfish (Pangasianodon hypophthalmus) obtained in Cambodia and Vietnam, respectively. Genome sequences were generated from representative vAh and non-vAh isolates to evaluate the potential for lateral genetic transfer of the myo-inositol catabolism pathway. Phylogenetic analyses of each of the nine genes required for myo-inositol utilization revealed the close affiliation of vAh strains regardless of geographic origin and suggested lateral genetic transfer of this catabolic pathway from an Enterobacter species. Prediction of virulence factors was conducted to determine differences between vAh and non-vAh strains in terms of virulence and secretion systems. Core genome phylogenetic analyses on vAh isolates and Aeromonas spp. disease isolates (55 in total) were conducted to evaluate the evolutionary relationships among vAh and other Aeromonas sp. isolates, which supported the clonal nature of vAh isolates. IMPORTANCE This global survey of vAh brought together scientists that study fish disease to evaluate the evolution, geographical distribution, phylogeny, and hosts of vAh and other Aeromonas sp. isolates. In addition to vAh isolates from China and the United States, four new vAh isolates were isolated from the lower Mekong River basin in Cambodia and Vietnam, indicating the significant threat of vAh to modern aquaculture and the need for improved biosecurity to prevent vAh spread.