Bacteriophage-based biosensors technology: Materials, fabrications, efficiencies and shortcomings.

Unlabelled: Ongoing research in biosensor technologies has led to advanced functional materials for healthcare diagnostics, and bacteriophages (phages), demonstrating exceptional utility due to their high specificity, accuracy, rapid, label-free, and wireless detection capabilities with minimal false-positive results. Phage-based-pathogen-detecting biosensors (PBPDBs) include surface plasmon resonance (SPR) biosensors, magnetoelastic (ME), electrochemical, and quartz crystal microbalance (QCM) biosensors. Commonly used substrates for PBPDBs are gold, silicon, glass, carbon-based materials, magnetic particles, and quantum dots.

The activity of hydrolytic enzymes and antibiotics against biofilms of bacteria isolated from industrial-scale cooling towers.

Background: Cooling towers (CTs) are crucial to myriad industrial processes, supporting thermal exchange between fluids in heat exchangers using water from lakes and rivers as coolant. However, CT water can sometimes introduce microbial contaminants that adhere to and colonize various surfaces within the CT system. These microorganisms can form biofilms, significantly hindering the system's thermal exchange efficiency.

Antibacterial and Antibiofilm Potential of Chlorophyllin Against In Vitro and In Silico.

Background: is a leading causative agent of dental caries and exerts pathogenicity by forming biofilms. Dental caries continues to be a significant public health issue worldwide, affecting an estimated 2.5 billion people, showing a 14.

Eco-smart biocontrol strategies utilizing potent microbes for sustainable management of phytopathogenic diseases.

Plants have an impact on the economy because they are used in the food and medical industries. Plants are a source of macro- and micronutrients for the health of humans and animals; however, the rise in microbial diseases has put plant health and yield at risk. Because there are insufficient controls, microbial infections annually impact approximately 25 % of the world's plant crops.

On discovery of novel hub genes for ER+ and TN breast cancer types through RNA seq data analyses and classification models.

Breast cancer (BC) is a malignant neoplasm which is classified into various types defined by underlying molecular factors such as estrogen receptor positive (ER+), progesterone receptor positive (PR+), human epidermal growth factor positive (HER2+) and triple negative (TNBC). Early detection of ER+ and TNBC is crucial in the choice of diagnosis and appropriate treatment strategy. Here we report the key genes associated to ER+ and TNBC using RNA-Seq analysis and machine learning models.

Impact of Serum Triglyceride Levels on Severity and Outcomes in Acute Biliary Pancreatitis: A Retrospective Cohort Study.

Background Acute biliary pancreatitis (ABP), a major inflammatory illness, is primarily caused by gallstone blockage of the common bile duct. The pathophysiology of ABP has been linked to serum triglyceride (TG) levels, suggesting a potential role for TG in predicting disease severity. Objective The research objective was to investigate the association between serum TG levels and the severity of ABP.

Phytopathological management through bacteriophages: enhancing food security amidst climate change.

Unlabelled: The increasing global population and climate change pose significant challenges to agriculture, particularly in managing plant diseases caused by phytopathogens. Traditional methods, including chemical pesticides and antibiotics, have become less effective due to pathogen resistance and environmental concerns. Phage therapy emerges as a promising alternative, offering a sustainable and precise approach to controlling plant bacterial diseases without harming beneficial soil microorganisms.

Exploring the Antimicrobial Resistance Profile of and Its Clinical Burden.

: Typhoid fever caused by serovar Typhi continues to pose a significant risk to public health in developing countries, including Pakistan. This study investigated the epidemiological factors linked to suspected and confirmed infections in Peshawar's hospital population. : A total of 5735 blood samples of patients with suspected enteric fever were collected from September 2022 to November 2023.

Computational exploration and molecular dynamic simulation for the discovery of antiviral agents targeting Newcastle disease virus.

Newcastle disease virus (NDV) is a highly infectious viral disease that impacts birds globally, especially domestic poultry. NDV is a type of avian paramyxovirus which poses a major threat to the poultry industry due to its ability to inflict significant economic damage. The membrane protein, Hemagglutinin-Neuraminidase (HN) of NDV is an attractive therapeutic candidate.

Tympanic Cavity Packing in Tympanoplasty Type 1: A Meta-Analysis.

Packing of tympanic cavity is generally considered an essential step in myringoplasty. However, each packing material comes with one or another side effect. The objective of this meta-analysis was to compare the results of Type 1 myringoplasty with or without packing.

Global research trends on gut microbiota and metabolic dysfunction-associated steatohepatitis: Insights from bibliometric and scientometric analysis.

Background: Metabolic dysfunction-associated steatohepatitis (MASH) is an inflammatory subtype of metabolic dysfunction-associated steatotic liver disease (MASLD) has recently been proposed as a replacement term for NAFLD, a common, multifactorial and poorly understood liver disease whose incidence is increasing worldwide. In recent years, there has been increasing scientific interest in exploring the relationship between gut microbiota and MASH. To learn more about the gut microbiota in MASH, this study aims to provide a comprehensive analysis of the knowledge structure and research hotspots from a bibliometric perspective.

Exploring the historical roots, advantages and efficacy of phage therapy in plant diseases management.

In the drug-resistance era, phage therapy has received considerable attention from worldwide researchers. Phage therapy has been given much attention in public health but is rarely applied to control plant diseases. Herein, we discuss phage therapy as a biocontrol approach against several plant diseases.

Total Endoscopic or Endoscope-Assisted Excision of Non-embolized Advanced Juvenile Nasopharyngeal Angiofibroma: A Clinical Case Series.

Background Surgical excision is the primary treatment for juvenile nasopharyngeal angiofibroma (JNA), but this procedure is challenging due to its high vascularity and local aggressiveness. Moreover, preoperative embolization is a subject of debate. Objective The objective of this study is to assess the efficacy, safety, and feasibility of endoscope-assisted excision as a surgical intervention for non-embolized advanced JNA.

Exploring the frontiers of therapeutic breadth of antifungal peptides: A new avenue in antifungal drugs.

Unlabelled: The growing prevalence of fungal infections alongside rising resistance to antifungal drugs poses a significant challenge to public health safety. At the close of the 2000s, major pharmaceutical firms began to scale back on antimicrobial research due to repeated setbacks and diminished economic gains, leaving only smaller companies and research labs to pursue new antifungal solutions. Among various natural sources explored for novel antifungal compounds, antifungal peptides (AFPs) emerge as particularly promising.

Bandgap Engineering and Enhancing Optoelectronic Performance of a Lead-Free Double Perovskite CsAgBiBr Solar Cell via Al Doping.

In this study, solar cells based on pure CsAgBiBr and Al-doped metal were fabricated using the sol-gel spin-coating technique. X-ray diffraction (XRD) analysis confirmed the formation of cubic-structured films for both pure and Al-doped. Notably, the grain size of Al-doped CsAgBiBr was observed to be larger than that of its pure counterpart.

Molecular Mechanisms of Ischemic Stroke: A Review Integrating Clinical Imaging and Therapeutic Perspectives.

Ischemic stroke poses a significant global health challenge, necessitating ongoing exploration of its pathophysiology and treatment strategies. This comprehensive review integrates various aspects of ischemic stroke research, emphasizing crucial mechanisms, therapeutic approaches, and the role of clinical imaging in disease management. It discusses the multifaceted role of Netrin-1, highlighting its potential in promoting neurovascular repair and mitigating post-stroke neurological decline.

Revolutionizing Treatment Strategies for Autoimmune and Inflammatory Disorders: The Impact of Dipeptidyl-Peptidase 4 Inhibitors.

DPP4 (Dipeptidyl-peptidase 4) a versatile protease, emerges as a prominent player in soluble and membrane-bound forms. Its heightened expression has been intimately linked to the initiation and severity of diverse autoimmune diseases, spanning rheumatoid arthritis, systemic lupus erythematosus, systemic sclerosis (SSc), inflammatory bowel disease, autoimmune diabetes, and even SARS-CoV-2 infection. Operating as a co-stimulator of T cell activity, DPP4 propels T cell proliferation by binding adenosine deaminase (ADA), thereby augmenting the breakdown of adenosine-an influential inhibitor of T cell proliferation.

Bandgap reduction and efficiency enhancement in CsAgBiBr double perovskite solar cells through gallium substitution.

Lead-free halide double perovskite (LFHDP) CsAgBiBr has emerged as a promising alternative to traditional lead-based perovskites (LBPs), offering notable advantages in terms of chemical stability and non-toxicity. However, the efficiency of CsAgBiBr solar cells faces challenges due to their wide bandgap (). As a viable strategy to settle this problem, we consider optimization of the optical and photovoltaic properties of CsAgBiBr by Gallium (Ga) substitution.

Etiology, pathology, and host-impaired immunity in medical implant-associated infections.

Host impaired immunity and pathogens adhesion factors are the key elements in analyzing medical implant-associated infections (MIAI). The infection chances are further influenced by surface properties of implants. This review addresses the medical implant-associated pathogens and summarizes the etiology, pathology, and host-impaired immunity in MIAI.

Audiological Outcomes of Type 1 Tympanoplasty Using Conchal Cartilage and Temporalis Fascia.

Objective: To compare the efficacy of conchal cartilage graft and temporalis fascia graft in Type 1 tympanoplasty in terms of graft uptake and hearing improvement.

Study Design: Descriptive study. Place and Duration of the Study: Department of Otolaryngology, Khyber Teaching Hospital, Peshawar, Pakistan, from January 2020 till December 2022.

Computational exploration of novel ROCK2 inhibitors for cardiovascular disease management; insights from high-throughput virtual screening, molecular docking, DFT and MD simulation.

Cardiovascular disorders are the world's major cause of death nowadays. To treat cardiovascular diseases especially coronary artery diseases and hypertension, researchers found potential ROCK2 (Rho-associated coiled-coil-containing protein kinase 2) target due to its substantial role in NO-cGMP and RhoA/ROCK pathway. Available drugs for ROCK2 are less effective and some of them depict side effects.

Multi-Method Analysis of Histopathological Image for Early Diagnosis of Oral Squamous Cell Carcinoma Using Deep Learning and Hybrid Techniques.

Oral cancer is a fatal disease and ranks seventh among the most common cancers throughout the whole globe. Oral cancer is a type of cancer that usually affects the head and neck. The current gold standard for diagnosis is histopathological investigation, however, the conventional approach is time-consuming and requires professional interpretation.

Revolutionizing Diabetes Diagnosis: Machine Learning Techniques Unleashed.

The intricate and multifaceted nature of diabetes disrupts the body's crucial glucose processing mechanism, which serves as a fundamental energy source for the cells. This research aims to predict the occurrence of diabetes in individuals by harnessing the power of machine learning algorithms, utilizing the PIMA diabetes dataset. The selected algorithms employed in this study encompass Decision Tree, K-Nearest Neighbor, Random Forest, Logistic Regression, and Support Vector Machine.