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Modern nanostructures must fulfill a wide range of functions to be valuable, leading to the combination of various nano-objects into hierarchical assemblies. Hybrid Nanoparticles (HNPs), comprised of multiple types of nanoparticles, are emerging as nanoscale structures with versatile applications. HNPs offer enhanced medical benefits compared to basic combinations of distinct components. They address the limitations of traditional nanoparticle delivery systems, such as poor water solubility, nonspecific targeting, and suboptimal therapeutic outcomes. HNPs also facilitate the transition from anatomical to molecular imaging in lung cancer diagnosis, ensuring precision. In clinical settings, the selection of nanoplatforms with superior reproducibility, cost-effectiveness, easy preparation, and advanced functional and structural characteristics is paramount. This study aims toextensively examine hybrid nanoparticles, focusing on their classification, drug delivery mechanisms, properties of hybrid inorganic nanoparticles, advancements in hybrid nanoparticle technology, and their biomedical applications, particularly emphasizing the utilization of smart hybrid nanoparticles. PHNPs enable the delivery of numerous anticancer, anti-leishmanial, and antifungal drugs, enhancing cellular absorption, bioavailability, and targeted drug delivery while reducing toxic side effects., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Anticancer drugs and diagnostics can be transported in nanoscale vesicles that provide a flexible platform. A hybrid nanoparticle, a nano assembly made up of many types of nanostructures, has the greatest potential to perform these two activities simultaneously. Nanomedicine has shown the promise of vesicular carriers based on lipopolymersomes, lipid peptides, and metallic hybrid nano-vesicle systems. However, there are significant limitations that hinder the clinical implementation of these systems at the commercial scale, such as low productivity, high energy consumption, expensive setup, long process durations, and the current cancer therapies described in this article. Combinatorial hybrid systems can be used to reduce the above limitations. A greater therapeutic index and improved clinical results are possible with hybrid nanovesicular systems, which integrate the benefits of many carriers into a single structure. Due to their unique properties, cell-based drug delivery systems have shown tremendous benefits in the treatment of cancer. Nanoparticles (NPs) can benefit significantly from the properties of erythrocytes and platelets, which are part of the circulatory cells and circulate for a long time. Due to their unique physicochemical properties, nanomaterials play an essential role in cell-based drug delivery. Combining the advantages of different nanomaterials and cell types gives the resulting delivery systems a wide range of desirable properties. NPs are nextgeneration core-shell nanostructures that combine a lipid shell with a polymer core. The fabrication of lipid-polymer hybrid NPs has recently undergone a fundamental shift, moving from a two-step to a one-step technique based on the joint self-assembly of polymers and lipids. Oncologists are particularly interested in this method as a combinatorial drug delivery platform because of its two-in-one structure. This article addresses various preparative methods for the preparation of hybrid nano-vesicular systems. It also discusses the cellular mechanism of hybrid nano-vesicular systems and describes the thorough knowledge of various hybrid vesicular systems., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Treatment regimen recommended for resistant tuberculosis consists of various drugs and these drugs are prescribed for at least 12-15 months. Such a long duration therapy and high dose of antibiotics result in adverse drug reactions (ADRs). ADRs may lead to various complications in disease management like replacement of drugs, dose increment, therapy withdrawal, etc. Linezolid is one of those drugs, practiced as an anti-mycobacterial agent and it is an important member of drug regimen for MDR and XDR tuberculosis. Linezolid is a broad spectrum antibiotic known for its unique mechanism of inhibition of resistant pathogenic strains. However, it causes serious adverse effects like thrombocytopenia, optic neuropathy, peripheral neuropathy, lactic acidosis, etc. Literature suggests that Linezolid can cause severe ADRs which affect patient compliance and hinder in therapy to a larger extent. Recent studies confirm the possibility of ADRs to be predicted with genetic make-up of individuals. To effectively deliver the available treatment regimen and ensure patient compliance, it is important to manage ADRs more efficiently. The role of pharmacogenomics in reducing adverse drug effects has been recently explored. In the present review, we discussed about Linezolid induced adverse drug reactions, mechanisms and genetic associations.

Adverse drug reactions (ADRs) are associated with clinical morbidity and, in severe cases, even mortality. Globally billions of dollars are spent on managing these ADRs for common and uncommon diseases. The developing world suffers from a high burden of tuberculosis, which requires 6-8 months of multi-drug treatment. In spite of most cases being treatable the problem persists mainly due to a high attrition rate associated with ADR mediated complications. Due to these reasons drug resistant strains have emerged and are now a serious challenge to TB eradication. To effectively deliver the available treatment regimen and ensure patient compliance it is important to manage ADRs more efficiently. Recent studies have demonstrated that drug outcomes are patient-specific and can, therefore be predicted. A few of these drugs, including a few administered for TB, have shown excellent correlation with response rates and development of ADRs. In this review, we profile information available in public domain for existing anti-TB drugs to understand the genesis of ADRs and patient response. Additionally, human genome variation databases have been used to correlate the frequency of these markers and their genomic variants in different populations.