Search Results (79)

Background: The global rise in multidrug-resistant (MDR) Gram-negative bacteria (GNB) poses an urgent challenge for infection control and antibiotic stewardship. Among these, Klebsiella pneumoniae is a major cause of hospital-acquired infections and is listed as a critical priority pathogen by the World Health Organization. Peru reports an exceptionally high prevalence of MDR K. pneumoniae, underscoring the need for innovative antimicrobial approaches. Methods: Here, we describe the isolation and characterization of lytic Klebsiella bacteriophage from sewage samples collected from the Huatanay River (Cusco, Peru) in 2023. Phages were isolated using the reference strain MDR K. pneumoniae ATCC BAA-2814. Then, they were screened against 50 clinical MDR K. pneumoniae strains. Results: The phage H33IIK demonstrated effective antibacterial capability, showing strict host specificity for K. pneumoniae, thermal stability, moderate pH tolerance, and high burst size. Whole-genome sequencing analysis classified it within the class Caudoviricetes, family Ackermannviridae, and genus Taipeivirus. The genomic analysis confirmed the absence of lysogeny-related, antimicrobial resistance, and virulence genes, supporting its suitability and safety for potential biotechnological applications. Conclusions: These findings highlight phage H33IIK as a lytic agent effective against MDR K. pneumoniae. It could contribute to the development of phage-based approaches to combat MDR GNB. Full article

With the rapid development of 5G communication technology, 5G networks are designed to achieve three major objectives: higher bandwidth, support for a greater number of connected devices, and lower latency. It is necessary to meet the requirements of the three primary 5G application scenarios: Enhanced Mobile Broadband, Massive Machine-Type Communications, and Ultra-Reliable and Low Latency Communications (uRLLC). To meet the stringent requirements for time synchronization and low latency, 5G is being integrated with Ethernet-based Time-Sensitive Networking (TSN) technologies. TSN plays an important role in achieving time determinism in uRLLC scenarios and ensures low-latency and high-reliability Ethernet communication through the transmission of time signals that are also known as the Precision Time Protocol. We applied TSN technology in the Institute of Electrical and Electronics Engineers 802.1Qbv standard and evaluated its transmission delay performance. Modifying the gate control list (GCL) to accommodate varying network traffic ensures low-latency transmission for high-priority traffic. We propose two GCL configurations for TSN that incorporate time-aware shaper to achieve efficient traffic scheduling. Full article

Rates of foodborne infectious disease are increasing globally. The One Health zoonoses report shows increasing cases of shigatoxigenic Escherichia coli, campylobacteriosis, salmonellosis and listeriosis in the last 5 years. The ESKAPE pathogens are the top priority due to their alarming rate of resistance to broad-spectrum beta-lactams, carbapenems, glycopeptides, fluoroquinolones, aminoglycosides and biocide solutions. Research assessing alternative biocontrol options highlight the advantages of bacteriophages in the control of resistant bacterial species. Phage formulations including ListShield^TM and SalmoFresh^TM have gained FDA approval for food production. As biocontrol agents, however, phages are limited by their specificity in a multispecies environment, the presence of environmental variables and bacterial resistance mechanisms. Genetic modification and the use of phage cocktails aim to overcome such limitations. Future research is warranted in a harmonised approach supported by a defined legal framework to establish best formulation and exposure protocols. This review discusses phages as biocontrol agents in the control of high-risk pathobionts associated with foodborne illness. Pathobionts associated with bovine livestock are discussed due to the morbidity and incidence of disease associated with such pathogens. Full article

In 2022, the World Health Organization (WHO) released a list of four fungi identified as the most medically important global pathogens, resulting in Cryptococcus neoformans, Candidozyma auris (formerly Candida auris), Aspergillus fumigatus and Candida albicans being classified as the critical priority fungi. The purpose of this list is to encourage the prioritization of fungal research and public policies to strengthen its control and combat fungal diseases. Among the criteria used in the analysis by the WHO to determine these critical threat pathogens were numbers of deaths; annual incidence; current global distribution; trends in the last 10 years; hospitalization; complications and sequelae; preventability; access to diagnostic tests; evidence-based treatments; and antifungal resistance. Difficulties in treatment, including due to antifungal resistance, are a major factor in the morbidity and mortality of these fungi. The fungal cell wall plays a fundamental role in maintaining cellular architecture and contributing to fungal survival. Thus, new approaches targeting the cell wall have been and are being developed. This review article aims to bring together studies from the last ten years focusing on the development of new treatment alternatives targeting the cell walls of the four critical priority fungi and discussing their potential for combating these deadly fungi of worldwide clinical importance. Full article

Background: Carbapenem-resistant Pseudomonas aeruginosa (CRPA) has been added to the World Health Organization’s list as a high-priority pathogen for which new antibiotics are urgently needed. Herein, we investigated the association between resistance/virulence genes and high-risk CRPA clinical isolates by whole genome sequencing (WGS). Methods: Between 2019 and 2025, twenty-six CRPA strains from patients hospitalized in the “Renato Dulbecco” University Hospital were characterized. WGS analysis was performed using the next generation sequencing (NGS) technique. Multi-locus sequence typing (MLST) prediction was performed. Antibiotic resistance genes were detected using Antibiotic Resistance Gene-ANNOTation, Comprehensive Antibiotic Resistance Database, and ResFinder. Virulence genes were identified by the Virulence Factor Database. Results: The MLST analysis detected 14 different sequence types (ST). The 26 strains exhibited the same resistome profile: aac(3)-Ic, aphA15, catB7, catB10, cmlA, blaCARB, blaVIM-1, and tetG genes. The genes encoding enzymes involved in resistance to chloramphenicol and beta-lactams were found in all isolates using the three databases. Biofilm formation genes, metalloproteinase, chemotaxis, fimbriae, and pyoverdine were identified in all strains. Genes of the type III secretion system exoS, exoT, exoU, and exoY were found in 46.15%, 84.61%, 53.84%, and 84.61% of the strains, respectively. Conclusions: The analysis of the 26 clinical isolates showed high clonal heterogeneity, with a predominance of ST235, a high-risk clone associated with multiple resistances. Interestingly, cefiderocol resistance was carried by 4/8 isolates belonging to the ST235 strain. The surveillance based on resistome and virulome analysis could monitor the dynamic evolution of high priorityhigh-priority pathogens to guide clinical treatment and to adapt healthcare control measures, limiting their spread in the near future. Full article

Background: Klebsiella pneumoniae is a World Health Organization-listed critical priority pathogen and a major cause of healthcare-associated infections, driven by the global emergence of multidrug-resistant (MDR) and extensively drug-resistant (XDR) lineages and their alarming convergence with hypervirulence. Methods: In this study, 152 clinical specimens, including urine, blood, pus, wound swabs, and respiratory samples, were collected from tertiary care hospitals in Peshawar, Pakistan. Standard microbiological and biochemical methods identified 55 K. pneumoniae isolates. Antimicrobial susceptibility testing (AST) was performed using the Kirby–Bauer disk diffusion and broth microdilution methods, with results interpreted according to Clinical and Laboratory Standards Institute (CLSI) guidelines. MDR and XDR phenotypes were defined based on European Centre for Disease Prevention and Control (ECDC) criteria. Whole-genome sequencing (WGS) was conducted on 16 phenotypically confirmed MDR/XDR isolates, followed by comprehensive bioinformatic analyses to characterize sequence types (STs), acquired antimicrobial resistance genes, resistance-associated chromosomal mutations, virulence determinants, plasmid replicons, and phylogenetic relationships. Results: Among 55 confirmed K. pneumoniae isolates, 19 (34.5%) were classified as MDR and 10 (18.2%) as XDR. WGS revealed substantial genomic heterogeneity, identifying 11 distinct STs, with ST39 being the most prevalent. Resistance to multiple antibiotic classes was mediated by the combined presence of plasmid-borne carbapenemases and extended-spectrum β-lactamases, alongside chromosomal mutations affecting outer membrane porins (OmpK35/OmpK36), fluoroquinolone targets (gyrA/parC), efflux regulation (ramR, marR), and lipid A modification pathways associated with colistin resistance (mgrB, pmrA/pmrB, arnC, crrB). IncF-family plasmids predominated and frequently co-occurred with additional resistance-associated replicons. Notably, one isolate exhibited an expanded virulence gene repertoire, including multiple siderophore systems and a complete type II secretion system, consistent with a hypervirulence-associated genomic profile. Phylogenetic analyses demonstrated close relatedness to international lineages from Asia, the Middle East, and Europe, indicating regional and transnational dissemination. Conclusions: This study highlights the complex interplay between plasmid-mediated gene acquisition and chromosomal adaptive mutations driving MDR and XDR phenotypes in K. pneumoniae circulating in Peshawar, Pakistan. The identification of hypervirulence-associated genetic features within an MDR background underscores the growing threat posed by convergent lineages and emphasizes the need for sustained WGS-based surveillance to inform infection control and antimicrobial stewardship strategies. Full article

Malaria has long been a significant global health concern, listed as a high-priority disease by several global health agencies, despite of several control measures have been put in place. Most widely utilized treatment options for malaria include chloroquine, artemisinin-based combination therapy (ACT), and quinine. However, challenges, such as drug resistance, misdiagnosis, and limited treatment efficacy remain major concerns. Despite ongoing efforts, the development of an effective malaria vaccine is still debatable. Many existing malaria treatments have drawbacks, such as low water solubility, poor bioavailability, and a rise in drug-resistant parasites owing to their non-judicious use, which contributes to increased malaria cases and fatalities. Nanotechnology presents a promising approach to safer and more effective malaria therapy and control. Nanoparticles offer several advantages over conventional treatments, including high drug-loading capacity, targeted delivery, improved biocompatibility, and reduced toxicity in host cells. Green nanotechnology-based antimalarial therapies have demonstrated potential therapeutic benefits, enhanced safety, and cost-effectiveness compared to traditional treatments, ultimately improving patient compliance and treatment outcomes. In this review paper, we discussed non-conventional breakpoints in the malarial life cycle, traditional herbal remedies for malaria, and nanoparticle-based delivery systems. Additionally, we reviewed the antimalarial effects of herbal nano-formulations, their pharmacological and therapeutic potential, drug-resistant malaria, preventive strategies, vector control using green nanomaterials, and the challenges associated with plant-based nanotechnologies. This review suggests nanotechnology-based therapeutics as promising candidates to treat malaria with significant room for applications and commercialization potential in the longer run. Full article

Non-typhoidal Salmonella (NTS) are globally distributed zoonotic pathogens of major concern within the One Health–One Biofilm framework. Fluoroquinolone-resistant Salmonella strains are included by the World Health Organization (WHO) in the Bacterial Priority Pathogens List as high-risk agents. A key virulence determinant of Salmonella is its ability to form biofilms, which may display multidrug-resistant (MDR) characteristics and contribute to bacterial persistence and treatment failure. Animals, particularly poultry and reptiles, represent important reservoirs of Salmonella, and reptile-associated salmonellosis (RAS) may manifest as extraintestinal infections in humans. In the post-antibiotic era, there is an urgent need to identify effective alternatives to conventional therapies. This review summarizes current knowledge on Salmonella biofilms, with particular attention to their MDR potential, and discusses possible strategies for their prevention and eradication, including specific immunoprophylaxis, bacteriophage therapy, and alternative antimicrobials. The promising antimicrobials include plant-based compounds/extracts, bacteriocins, fatty acids, and synthetic/semi-synthetic substances. The integration of vaccination, phage therapy, and novel anti-biofilm compounds may provide a sustainable alternative to antibiotics in controlling Salmonella infections and aligns with the principles of the One Health approach. Full article

As one of the nine largest plateau lakes in Yunnan Province, China, Qilu Lake is considered significantly affected by extensive anthropogenic pollution. However, the pollution status and integrated risks posed by organochlorine pesticides and heavy metals in the lake’s sediments remain poorly understood. This study analyzed the concentrations of organochlorine pesticides and heavy metals in 22 surface sediment samples from the Qilu Lake, and assessed their combined ecological and health risks. Results showed that the mean concentrations of five target organochlorine pesticides (α-hexachlorocyclohexane, β-hexachlorocyclohexane, γ-hexachlorocyclohexane, p,p′-dichlorodiphenyltrichloroethane, and o,p′-dichlorodiphenyltrichloroethane) were consistently low, whereas most heavy metals, except for arsenic, significantly exceeded Yunnan Province background values, with mercury and cadmium exhibiting the most pronounced enrichment. Source analysis indicated that the heavy metals mainly derived from a mixed agricultural-industrial-traffic source, a natural geogenic source, and industrial-traffic emissions, while the organochlorine pesticides originated from both historical residues and ongoing agricultural applications. A linear model was identified as optimal function for characterizing the adsorption-accumulation relationship between organochlorine pesticides and heavy metals. Ecological risks were dominated by heavy metals, especially cadmium, and the evaluated results showed that the health risks were higher for children than adults. Although non-carcinogenic risks were negligible, carcinogenic risks, particularly from chromium, warrant special attention, especially for children. This study enhances the understanding of combined pollution in rural plateau lakes and provides a scientific basis for achieving sustainable water environment management by (1) establishing an integrated risk assessment framework for pollutants, (2) identifying a priority control pollutant list, and (3) laying a theoretical foundation for targeted ecological restoration strategies, directly supporting the implementation of Sustainable Development Goal (SDG) 6 (clean water and sanitation). Full article

Background: Antibiotic resistance is a significant health problem in healthcare settings, especially intensive care units (ICUs), where patients are critically ill. This study aims to identify the bacterial profile and antibiotic resistance patterns of Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, Enterobacter, and Escherichia coli (ESKAPEE) in blood specimens collected from adult patients admitted to the ICUs of public hospitals in Abu Dhabi, United Arab Emirates. The World Health Organization lists these pathogens as priority pathogens that greatly threaten humans. Methods: This cross-sectional study used routinely collected data through the AMR surveillance system between 2018 and 2022. Results: A total of 838 culture-positive blood specimens were reported during the study period, and 965 ESKAPEE pathogens were isolated. The most frequently isolated bacteria were Klebsiella pneumoniae (31%), Escherichia coli (22%), and Staphylococcus aureus (20%). Acinetobacter baumannii exhibited high resistance to Amikacin (81%), Meropenem (72%), and Imipenem (87%). Escherichia coli demonstrated resistance to Imipenem (42%) and Cefotaxime (54%). Klebsiella pneumoniae showed resistance to Imipenem (37%) and Cefotaxime (39%). Staphylococcus aureus showed resistance to Penicillin G (80%), Oxacillin (4%), and Ciprofloxacin (54%). Conclusions: The study showed a high prevalence of resistance in the most frequently isolated ESKAPEE pathogens in adult ICU patients. This brings into focus the need for appropriate infection control measures and strong antibiotic stewardship programs. The findings of the study support the ongoing efforts to deploy a better diagnostic tool for rapid pathogen identification, which is key in the targeted management of patients with bloodstream infection, especially in ICUs. Full article

Freshwater quality criteria (FWQC) are essential scientific thresholds established to protect human health and aquatic ecosystems, serving as the foundation for water quality standards, environmental risk management, and pollution control. The latest research advancements were summarized, including the screening of priority pollutants for FWQC and the theory and methodology for environmental criteria in China in the last decade. The potential work has been meticulously analyzed and discussed concerning FWQC to be conducted in the short-term future. The possible prioritized list of pollutants for FWQC should be concerned with including nine categories of heavy metal ions, three categories of non-metal ions, and five categories of organic compounds in the short-term future research. The guidelines for deriving FWQC for the protection of human health for organoleptic effects and for sediment need to be modified and emphasized to ensure the safety of drinking water sources, address issues related to black and odorous surface water, and protect the biodiversity of benthic organisms. Toxicity data, water quality parameters, exposure data, and the geographical distribution of freshwater species should be systematically collected to support the development of FWQC in China. The potential applications of FWQC were also explored in the evaluation and formulation of WQS, ecological risk assessments, and the management of environmental emergencies and damage assessments to support environmental protection and management in China. Full article

In the pursuit of sustainable economic development, fostering new-quality productivity (NQP) is both an inherent requirement and a strategic priority for advancing a green economy, while digital transformation has emerged as a pivotal driver in reconciling economic growth with environmental protection. Grounded in the Dual-Factor Theory of Productivity, this study empirically examines the impact of digital transformation on corporate NQP, with a focus on its heterogeneous effects, using panel data from China’s A-share listed firms (2013–2022). We further investigate the mediating role of green innovation—encompassing both technological and managerial dimensions—and the moderating effect of digital financial inclusion (DFI). The results show that digital transformation significantly enhances NQP, a finding robust to multiple endogeneity tests and alternative model specifications. Mechanism analysis indicates that digitalization fosters NQP by promoting green technological and managerial innovations, while DFI amplifies this effect. Heterogeneity analysis reveals stronger impacts in state-owned enterprises, non-manufacturing sectors, firms in developed regions, and highly competitive industries. These findings advance theoretical understanding of dynamic control mechanisms in environmental economics, provide empirical evidence on how digital transformation drives sustainable productivity through green innovation, and offer actionable insights for policymakers and firms seeking to align economic growth with environmental sustainability. Full article

Antimicrobial resistance (AMR) is traditionally discussed in the context of horizontally acquired resistance genes and point mutations at target loci. However, this gene-centred model fails to account for a large number of clinically important modalities of resistance. There is now substantial evidence implicating bacteria in the ability to escape the effects of antibiotics in a variety of non-canonical ways, which are not considered in traditional diagnostic and surveillance pipelines. Among these factors, we can list those arising from global regulatory networks, phase variability, epigenetic tuning, small RNAs, genome structural variability, and phenotypic states like tolerance and persistence. This review will blend the current knowledge on these alternative pathways of resistance and underscore how they intersect with canonical genetic determinants. We will highlight cases where resistance emerges in the absence of known resistance genes, analyse the role of regulatory plasticity in efflux pump expression and membrane remodelling, and examine the contributions of bacterial stress responses and post-transcriptional control. Additionally, we will address methodological gaps in the detection of these mechanisms and their implications for clinical treatment failure, resistance surveillance, and drug development. By integrating insights from molecular microbiology, systems biology, and genomics, this review aims to offer a framework for understanding AMR as a multifaceted, context-dependent phenotype, not merely a genotype. We conclude by identifying knowledge gaps and suggesting priorities for research and diagnostic innovation in this evolving field. Full article

This study explores how firms’ strategic orientations—operational efficiency, customer intimacy, and product innovation—along with corporate social responsibility (CSR) disclosure, influence investment efficiency in emerging markets. Using 1594 firm-year observations from companies listed on the Tehran Stock Exchange (TSE) between 2015 and 2024, we combine quantitative analysis with textual evidence from Management Discussion and Analysis (MD&A) reports. The findings show that operational efficiency and customer intimacy are generally linked to lower investment efficiency, reflecting possible resource misallocation and short-term priorities. In contrast, product innovation has a more nuanced impact: it improves investment efficiency in R&D-intensive sectors and during stable economic periods. CSR disclosure is also negatively associated with investment efficiency, suggesting that while CSR reporting enhances legitimacy and stakeholder trust, it may shift managerial attention and resources away from core investments. Robustness checks—including firm fixed effects, alternative keyword dictionaries, placebo tests, and endogeneity controls—support these results. Additional sub-sample analyses indicate that strategic orientations and CSR disclosure also function as channels of financial innovation: operational efficiency fosters disciplined resource allocation, product innovation supports sustainable growth, and customer intimacy strengthens transparency and stakeholder engagement. Full article

Against the backdrop of increasingly severe global carbon emissions and China’s commitment to achieving carbon peaking by 2030, accelerating the transition to a low-carbon economy has become an urgent priority. As fundamental microeconomic entities, enterprises play a crucial role in the national governance of carbon emissions. This study uses panel data on Chinese A share listed companies from 2019 to 2023 and employs fixed effects models that control for firm, year, and industry effect to analyze how ESG performance influences carbon emissions and through which mechanism. The findings indicate that improvements in ESG ratings significantly reduce firms’ carbon emissions. This effect operates primarily through the following two channels: (1) promoting green technological innovation, thereby enhancing environmental performance, and (2) increasing the attention of financial analysts, which strengthens external monitoring. The heterogeneity analysis further reveals that the mitigating effect of ESG improvement on carbon emissions is more pronounced in firms with a lower proportion of institutional ownership, while this effect is relatively weaker in firms with higher institutional ownership. This suggests that in contexts where institutional investors hold a smaller share, firms may place greater emphasis on the policy pressure and social responsibility expectations associated with ESG performance, thereby exhibiting stronger commitment to emission reduction actions. In contrast, in firms dominated by institutional investors, the implementation of ESG policy objectives may be partially compromised due to the investors’ short-term profit orientation. This study provides empirical evidence for firms to fulfill their environmental and social responsibilities and offers actionable insights for investors aiming to promote sustainable development. From a policy perspective, the findings also offer theoretical support for developing differentiated regulatory strategies based on variations in ownership and shareholding structures. Full article