Publications by authors named "Abdulrahman Manaa Alamri"

Introduction: Zinc oxide nanoparticles (ZnONPs) have been the subject of substantial research by virtue of their utility across extensive downstream applications. Moreover, the ZnONPs are inexpensive, reliable, and easy to produce. Green synthesis employing biological systems, particularly plant extracts, has arisen as a subject of study in nanotechnology and is gaining importance due to its multiple applications in biology, chemistry, physics, and medicine.

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BACKGROUND Necrotizing fasciitis is an aggressive type of skin and soft tissue infection that results in necrosis of subcutaneous tissues, including muscle and fascia. Mixed bacteria, including gas-forming organisms, are usually identified. This report describes a 55-year-old male diabetic patient with herpes zoster involving the thoracic dermatomes complicated by skin infection, necrotizing fasciitis, chest wall abscess, and sepsis.

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This study focuses on the synthesis, characterization, and use of zinc oxide nanoparticles (ZnONPs) derived from fruit peel extract. ZnONPs are frequently synthesized utilizing a green technique that is both cost-effective and ecologically friendly. ZnONPs were characterized utilizing analytical techniques.

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In clinical applications, there is a lack of wound dressings that combine efficient resistance to drug-resistant bacteria with good self-healing properties. In this study, a series of adhesive self-healing conductive antibacterial hydrogel dressings based on oxidized sodium alginate-grafted dopamine/carboxymethyl chitosan/Fe (OSD/CMC/Fe hydrogel)/polydopamine-encapsulated poly(thiophene-3-acetic acid) (OSD/CMC/Fe/PA hydrogel) were prepared for the repair of infected wound. The Schiff base and Fe coordination bonds of the hydrogel structure are dynamic bonds that can be repaired automatically after the hydrogel network is disrupted.

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Article Synopsis
  • - The study investigated the wound healing effects of bark ethanolic extract (MZE) using various models, including animal tests with Wistar albino rats, comparing MZE with a control and a povidone-iodine treatment.
  • - Results showed that MZE significantly enhanced wound contraction (99.88% after 20 days) and fast-tracked epithelization compared to untreated rats, indicating its potential as an effective treatment.
  • - Additionally, MZE treatment increased mechanical strength and boosted levels of proteins related to healing, revealing its capability to promote cell migration and improve skin tissue regeneration.
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Silver nanoparticles (AgNPs) have recently gained interest in the medical field because of their biological features. The present study aimed at screening secondary metabolites, quantifying their flavonoids and total phenolics content, green synthesis and characterization of silver nanoparticles. In addition, an assessment of in vitro cytotoxic, antioxidant, anti-inflammatory and wound healing activity of and its synthesized AgNPs was carried out.

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Approximately 30% of the global population is suffering from obesity and being overweight, which is approximately 2.1 billion people worldwide. The ratio is expected to surpass 40% by 2030 if the current balance continues to grow.

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Physical activity plays an important role in controlling obesity and maintaining healthy living. It becomes increasingly important during a pandemic due to restrictions on outdoor activities. Tracking physical activities using miniature wearable sensors and state-of-the-art machine learning techniques can encourage healthy living and control obesity.

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Background: When the skin and tissues within the body are injured, the healing process begins. Medicinal herbs have been used to cure wounds since time immemorial. The antimicrobial and antioxidant activity possessed by may accelerate wound healing.

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Artificial Intelligence (AI) and Internet of Things (IoT) offer immense potential to transform conventional healthcare systems. The IoT and AI enabled smart systems can play a key role in driving the future of smart healthcare. Remote monitoring of critical and non-critical patients is one such field which can leverage the benefits of IoT and machine learning techniques.

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Background: Type 2 diabetes mellitus (T2DM) is a multifactorial disorder that leads to alterations in gene regulation. Long non-coding RNAs (lncRNAs) have become a major research topic as they are involved in metabolic disorders.

Methods: This study included a total of 400 study subjects; 200 were subjects with T2DM and 200 were healthy subjects.

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Background: Breast cancer (BC) is the leading malignancy among women in Najran, Saudi Arabia. However, not much is known about the public's awareness of BC. This study explored the general knowledge, early warning signs, risk factors and sources of information about BC.

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