evaluation, characterization, and anticancer activity of curcumin-nimbin loaded nanoformulation in HCT-116 cell lines.

Unlabelled: Colorectal cancer is one of the most prevalent malignancies worldwide and a leading cause of mortality. Chemotherapy medications are often limited in use due to issues like drug resistance, P-glycoprotein efflux, and relapse of chemotherapy. In this study, we formulated a nanosuspension with curcumin and nimbin to address these limitations and assessed its anticancer potential using molecular docking and MTT assay.

Evaluation of antibacterial and antifungal activities of a commercially available herbal mouthwash in accordance with the PN-EN 1040 and EN 1650 standards.

Periodontitis is complex microbial plaque induced condition. In this study, HiOra herbal mouthwash widely marketed in India, achieved a 5-log reduction in standard fungi and bacterial strains within 60 min. Thereby demonstrating antibacterial and antifungal activity similar to chlorhexidine and accordance with the PN EN 1040 and EN 1650 standards.

Unveiling of the Anti-Tumor Activity of Green Synthesized Zinc Nanoparticles against Ehrlich Solid Tumors in Mice.

Cancer, a disease threatening human life, is caused by the disturbance of the normal cell cycle, which results in the spontaneous growth of normal and malignant cells, the lack of differentiation between the two, and consequently malignant growths. Nowadays, various synthetic agents are applied for cancer therapy; nevertheless, reports have confirmed that these chemical agents are associated with various adverse complications. This experimental study was designed to assess the anti-tumor activities of zinc nanoparticles (ZnNPs) green synthesized by the () extract against Ehrlich solid tumors (EST) in mice.

Exploration of the Reasons for Poor Adherence Among Metabolic Syndrome Patients Attending a Tertiary Care Hospital in Tamil Nadu, India: A Mixed Method Study.

Background A major challenge in the treatment of MetS is the prevalence of low rates of adherence to the treatment regimen for individual components by the affected persons. This study aimed to estimate the medication adherence level among those with metabolic syndrome, determine the factors significantly associated with low adherence to medication, and explore the reasons for poor adherence to medication Materials and methods This sequential explanatory type of mixed method study was conducted among the metabolic syndrome patients attending the lifestyle clinic of a tertiary care hospital in the Salem district of Tamil Nadu, India. For the quantitative component, 210 was the sample size and for the qualitative component, the sample size was six.

Anionic polysaccharides as delivery carriers for cancer therapy and theranostics: An overview of significance.

Recently, cancer therapy has witnessed remarkable advancements with a growing focus on precision medicine and targeted drug delivery strategies. The application of anionic polysaccharides has gained traction in various drug delivery systems. Anionic polysaccharides have emerged as promising delivery carriers in cancer therapy and theranostics, offering numerous advantages such as biocompatibility, low toxicity, and the ability to encapsulate and deliver therapeutic agents to tumor sites with high specificity.

Expression of mTOR, CD163, α-SMA, FOXp3 as survival predictors and its significance in patients with oral squamous cell carcinoma.

Background: Oral cancer; categorised under head and neck cancers (HNC) predominantly originates from squamous cells and is referred as oral squamous cell carcinoma (OSCC). Various factors (internal and external) causes OSCC. PI3K/AKT/mTOR pathways are known to be primarily mutated in HNC.

Development of squamous cell carcinoma at the bite sites several years following suspected cobra () envenomings.

Introduction: Snakebite envenoming is a multidimensional issue that causes severe functional and life-challenging consequences among rural communities in tropical countries. Current research and treatments are largely focused on the acute effects of envenomation and short-term health outcomes. The knowledge of snakebite-induced long-term consequences is highly limited.

A comprehensive review on the green synthesis of silver nanoparticles from marine sources.

The primary purpose of this review is to explore the green synthesis of silver nanoparticle (AgNP) using natural biomolecules derived from marine sources. This review aims to evaluate the effectiveness of environmentally friendly approaches for synthesizing AgNPs and to examine their potential applications across various fields such as medicine, biotechnology, and environmental remediation. The key research question focuses on understanding how marine biomolecules, including polysaccharides, proteins, enzymes, amino acids, alkaloids, and vitamins, contribute to the formation of AgNPs and how these green-synthesized nanoparticles retain their functional properties.

Comparative evaluation of platelet-rich plasma + β-tricalcium phosphate and platelet-rich fibrin + β-tricalcium phosphate for healing periapical lesions, using cone beam computed tomography - an study.

Background: Platelet concentrates are currently being researched for their potential to enhance bone formation.

Aim: The aim of this study is to quantitatively evaluate and compare bone regeneration in periapical lesions using a combination of platelet-rich plasma (PRP) + β-tricalcium phosphate (β-TCP) and platelet-rich fibrin (PRF) + β-TCP.

Methods: Ten subjects with periapical lesions measuring 10-20 mm in relation to maxillary incisors indicated for periapical surgery were selected.

Snakebite-induced reversible cerebral vasoconstriction syndrome: Report of three cases.

Envenomings from Russell's viper typically result in local tissue damage and bleeding complications, but the bites from common krait and cobra primarily cause neurotoxic effects. While most symptoms can be treated with appropriate antivenom, additional support is necessary for several snakebite victims to tackle a broad range of unusual complications that they develop following bites. Reversible vasoconstriction syndrome (RCVS), characterised by the constriction of cerebral arteries, is a rare but serious issue, presenting with severe headaches and, in extreme cases, haemorrhagic/ischaemic stroke.

Enhanced Detection of Gastrointestinal Malignancies using Machine Learning-Optimized Liquid Biopsy: A Mini Review.

Background: Gastrointestinal (GI) cancers represent some of the most common and lethal malignancies globally, underscoring the urgent need for improved diagnostic strategies. Traditional diagnostic methods, while effective to some degree, are often invasive and unsuit-able for regular screenings.

Objective: This review article explores integrating machine learning (ML) with liquid biopsy techniques as a revolutionary approach to enhance the detection and monitoring of GI cancers.

Synthesis and Characterization of a Chemico-structurally Modified -GMA Analog for Dental Applications.

Aim: This study aimed to synthesize and characterize a novel -GMA analog, termed P--GMA, through structural modification by replacing hydroxyl (-OH) groups with phosphonooxy [-O-P(=O)(OH)] groups and to evaluate and compare its viscosity with -GMA.

Materials And Methods: -GMA, triethylamine, dichloromethane, and phosphoryl chloride were utilized for the synthesis of P--GMA through phosphorylation. Fourier discerned the chemical structure of the synthesized P--GMA transform infrared spectroscopy (FTIR), and its viscosity was assessed by rheometry in oscillatory shear mode over a frequency sweep range of 0.

Effect of Lavender Oil Leg Massage on Physical, Cognitive, and Psychological Variables of Patients with Hypertension: A Randomized Controlled Trial.

Background: Hypertension (HTN) is one of the most important non-communicable risk factors that cause cardiovascular diseases. Complementary therapies including massage and aromatherapy are widely used in the management of HTN. However, studies on aromatherapy massage in HTN are limited.

Correlation Between the First Trimester Two-Hour Postprandial Blood Glucose Greater Than 110 mg/dL for the Prediction of Gestational Diabetes Mellitus.

Aim: To determine the correlation between first-trimester two-hour postprandial blood glucose (PPBG) > 110 mg/dL for predicting gestational diabetes mellitus (GDM).

Methods: This prospective cohort study enrolled 200 women between 8 and 10 weeks of gestation from February 2022 to February 2024. All recruited pregnant women underwent testing for two-hour PPBS at 8-10 weeks and were followed up till delivery.

Proposal for a grading system to determine the clinical status and sequence of permanent teeth eruption: A pilot study.

Objectives: The objective of the study was to propose and test a new grading system to quantify the clinical eruption of teeth into the oral cavity. In addition, the study also aimed to apply the grading system to a sample population to determine the chronology and sequence of permanent tooth eruptions, comparing the results with an existing standard table.

Methods: A cross-sectional study was designed, and 1220 children aged 5-18 years were selected from five schools in Chennai.

Seroprevalence of COVID-19 among voluntary blood donors.

Context: COVID-19 usually presents with mild symptoms. No cases of transfusion - transmission of COVID-19 had been reported. Assessing the prevalence of viral infections among blood donors is essential to frame blood safety strategies.

Correction: Differential Diagnosis, Prevention Measures, and Therapeutic Interventions for Enhanced Monkeypox (Mpox) Care.

[This corrects the article DOI: 10.7759/cureus.60724.

Advances in Computational Biology for Diagnosing Neurodegenerative Diseases: A Comprehensive Review.

The numerous and varied forms of neurodegenerative illnesses provide a considerable challenge to contemporary healthcare. The emergence of artificial intelligence has fundamentally changed the diagnostic picture by providing effective and early means of identifying these crippling illnesses. As a subset of computational intelligence, machine-learning algorithms have become very effective tools for the analysis of large datasets that include genetic, imaging, and clinical data.