Current Pharmaceutical Biotechnology - Volume 26, Issue 9, 2025

The process of wound healing is intricate and requires close coordination; any disruption to this process can have catastrophic results. It is hypothesized that chronic wounds that do not heal or that cease healing entirely can be caused by a combination of host factors and bacteria that are present in a wound bed or wound bed environment. There is currently a lack of understanding regarding the role that the cutaneous microbiome plays in the healing process of wounds, despite the fact that methods that do not rely on culture have revealed the role that the gut microbiome plays in human health and illness. In order to keep the host immune system in check, protect the epithelial barrier function, and ward off harmful microbes, skin commensals play a crucial role. This review compiles the research on the effects of microbiome modifications on wound healing and tissue regeneration from both clinical and pre-clinical investigations on a variety of chronic skin wounds. It is now clear that human skin commensals, symbionts, and pathogens all play a part in the inflammatory response, which in turn suggests a number of ways to treat wounds that are infected and not healing. To fully understand the function of the human skin microbiome in both short-term and long-term wound healing, additional study is required to reconcile the conflicting and contentious results of previous investigations.

The trend in the incidence rate of bone fractures has been upward and as a result, the burden associated with orthopedic fractures has increased significantly. Titanium (Ti) implants are considered a preferred method of managing long bone fractures. However, no benefit comes without some downside, and using Ti implants is associated with several complications. In this respect, it was observed that in bones, Ti can disrupt the bone healing process by disturbing the balance of osteoclast and osteoblast activation and also increasing the production of inflammatory cytokines. Melatonin is a widely-acting molecule that possesses strong anti-oxidant features. This molecule reinforces mineral density and improves bone formation processes. In this review, we focused on the protective effect of melatonin in mitigating the Ti-related complications.

Caffeic acid, a phenolic compound of the hydroxycinnamic acid family, is abundant in various plant-based foods, such as fruits, vegetables, and coffee, alongside other biologically active compounds. Recognizing its potential to address various health issues and its widespread presence in commonly consumed foods underscores the importance of comprehending and harnessing the benefits of caffeic acid for human nutrition and well-being. This versatile substance, characterized by acrylic and phenolic functional groups, plays a pivotal role in the food and pharmaceutical industries. Furthermore, a detailed exploration of its pharmacokinetic properties, absorption, distribution, metabolism, and excretion enhances our understanding of how the human body processes it. Functioning as a precursor for essential compounds, caffeic acid contributes to formulations with notable anti-inflammatory, antiviral, anti-cancer, anti-diabetic, antibacterial, neuroprotective, and hepatoprotective qualities. Its current applications in treating Parkinson's and Alzheimer's disease underscore its therapeutic significance. This comprehensive analysis sheds light on caffeic acid's importance, showcasing its diverse applications across various domains and paving the way for further research and development to fully unlock its therapeutic potential. In conclusion, caffeic acid emerges as a bioactive substance with a broad spectrum of pharmacological properties, suggesting its potential utility in diverse therapeutic contexts. The comprehensive information provided in this article serves as a foundation for further research and learning regarding the various ways that caffeic acid supports human health.

Early cancer identification is essential for increasing survival rates and lowering the disease's burden in today's society. Artificial intelligence (AI)-based algorithms may help in the early detection of cancer and resolve problems with current diagnostic methods. This article gives an overview of the prospective uses of AI in early cancer detection.

The authors go over the possible applications of Artificial Intelligence algorithms used for screening risk of malignancy in asymptomatic patients, investigating as well as prioritising symptomatic individuals, and more accurately diagnosing cancer recurrence.

In screening programmes, the importance of patient selection and risk stratification is emphasised, and AI may be able to assist in identifying people who are most at risk of acquiring cancer. Aside from pathology slide and peripheral blood analysis, AI can also increase the diagnostic precision of imaging methods like computed tomography (CT) and mammography. A summary of various AI techniques is given in the review, covering more sophisticated deep learning and neural networks and more traditional models like logistic regression. The advantages of deep learning algorithms in spotting intricate patterns in huge datasets and their potential to increase the precision of cancer diagnosis are emphasised by the authors. The ethical concerns surrounding the application of AI in healthcare are also discussed, and include topics like prejudice, data security, and privacy.

A review of the models now employed in clinical practice is included along with a discussion of the prospective clinical implications of AI algorithms. Examined are AI's drawbacks and hazards, such as resource requirements, data quality, and the necessity for consistent reporting. In conclusion, this study emphasises the utility of AI algorithms in the early detection of cancer and gives a general overview of the many strategies and difficulties involved in putting them into use in clinical settings.

The meninges serve as a protective layer, and the fluid around the brain and spinal cord can become inflamed, known as meningitis. Lipid-based pharmaceutical formulations, by their high lipophilicity, can negotiate the Blood-Brain Barrier (BBB). The current mode of treatment of meningitis is mainly through antibiotics, which, at best, is partially effective. The success of antibiotic therapy depends on several factors, for example, the difficulty of reaching the infection site, maintaining proper concentrations of the drug after crossing the BBB, and finally, its efficacy in preventing recurrent infection. In this context, interest has focused on organic and inorganic nanostructures for meningitis and transporting antibiotics to the selected region through the BBB. A focus has also been placed on several polymeric nanotechnology techniques for detecting various types of meningitis. This review focuses on nano interventions and their most recent meningitis treatments using nanotechnology.