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Vijay Mishra

Other affiliations: Central University, India
Bio: Vijay Mishra is an academic researcher from Lovely Professional University. The author has contributed to research in topics: Medicine & Drug delivery. The author has an hindex of 23, co-authored 88 publications receiving 1734 citations. Previous affiliations of Vijay Mishra include Central University, India.


Papers
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TL;DR: Light is shed on different aspects of SLNs including fabrication and characterization techniques, formulation variables, routes of administration, surface modifications, toxicity, and biomedical applications.
Abstract: Solid lipid nanoparticles (SLNs) are nanocarriers developed as substitute colloidal drug delivery systems parallel to liposomes, lipid emulsions, polymeric nanoparticles, and so forth. Owing to their unique size dependent properties and ability to incorporate drugs, SLNs present an opportunity to build up new therapeutic prototypes for drug delivery and targeting. SLNs hold great potential for attaining the goal of targeted and controlled drug delivery, which currently draws the interest of researchers worldwide. The present review sheds light on different aspects of SLNs including fabrication and characterization techniques, formulation variables, routes of administration, surface modifications, toxicity, and biomedical applications.

339 citations

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TL;DR: The literature review shows that nanocarriers could supplement sustained drug delivery to the macrophages, extended duration of action, reduced therapeutic dose, improved patient compliance, and reduced adverse effects of highly toxic, potent drugs.
Abstract: Introduction: Targeted drug delivery to the macrophages appears to be an attractive proposition to improve therapeutic efficacy of enclosed drug Thus, macrophages can be exploited as Trojan horses for targeted drug delivery Nanocarriers can migrate across the different membrane barriers and release their drug cargo at sites of infection Areas covered: This review discusses the current status and utilization of various micro- as well as nanocarriers like microspheres/microparticles, liposomes, nanoparticles, dendrimers, niosomes, and carbon nanotubes for targeted delivery of bioactives to the macrophages Expert opinion: The design of nanocarriers for cell-mediated drug delivery may differ from those used for conventional drug delivery systems The literature review shows that nanocarriers could supplement sustained drug delivery to the macrophages, extended duration of action, reduced therapeutic dose, improved patient compliance, and reduced adverse effects of highly toxic, potent drugs There is stil

154 citations

Journal ArticleDOI
TL;DR: C-dots are discussed, in terms of their physicochemical properties, fabrication techniques, toxicity issues, surface engineering and biomedical potential in drug delivery, targeting as well as bioimaging.

149 citations

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TL;DR: The purpose of this review is to examine the various aspects of conjugations and associated conjugation chemistry of various targeting ligands to CNTs for their respective biomedical applications.

140 citations

Journal ArticleDOI
TL;DR: Lecithin organogel (LO) is an effective vehicle for topical delivery of many bioactive agents used in aging treatment and a dynamic vehicle, which can be explored as a carrier for anti-aging agents.

93 citations


Cited by
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01 Jan 2020
TL;DR: Prolonged viral shedding provides the rationale for a strategy of isolation of infected patients and optimal antiviral interventions in the future.
Abstract: Summary Background Since December, 2019, Wuhan, China, has experienced an outbreak of coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Epidemiological and clinical characteristics of patients with COVID-19 have been reported but risk factors for mortality and a detailed clinical course of illness, including viral shedding, have not been well described. Methods In this retrospective, multicentre cohort study, we included all adult inpatients (≥18 years old) with laboratory-confirmed COVID-19 from Jinyintan Hospital and Wuhan Pulmonary Hospital (Wuhan, China) who had been discharged or had died by Jan 31, 2020. Demographic, clinical, treatment, and laboratory data, including serial samples for viral RNA detection, were extracted from electronic medical records and compared between survivors and non-survivors. We used univariable and multivariable logistic regression methods to explore the risk factors associated with in-hospital death. Findings 191 patients (135 from Jinyintan Hospital and 56 from Wuhan Pulmonary Hospital) were included in this study, of whom 137 were discharged and 54 died in hospital. 91 (48%) patients had a comorbidity, with hypertension being the most common (58 [30%] patients), followed by diabetes (36 [19%] patients) and coronary heart disease (15 [8%] patients). Multivariable regression showed increasing odds of in-hospital death associated with older age (odds ratio 1·10, 95% CI 1·03–1·17, per year increase; p=0·0043), higher Sequential Organ Failure Assessment (SOFA) score (5·65, 2·61–12·23; p Interpretation The potential risk factors of older age, high SOFA score, and d-dimer greater than 1 μg/mL could help clinicians to identify patients with poor prognosis at an early stage. Prolonged viral shedding provides the rationale for a strategy of isolation of infected patients and optimal antiviral interventions in the future. Funding Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences; National Science Grant for Distinguished Young Scholars; National Key Research and Development Program of China; The Beijing Science and Technology Project; and Major Projects of National Science and Technology on New Drug Creation and Development.

4,408 citations

09 Mar 2012
TL;DR: Artificial neural networks (ANNs) constitute a class of flexible nonlinear models designed to mimic biological neural systems as mentioned in this paper, and they have been widely used in computer vision applications.
Abstract: Artificial neural networks (ANNs) constitute a class of flexible nonlinear models designed to mimic biological neural systems. In this entry, we introduce ANN using familiar econometric terminology and provide an overview of ANN modeling approach and its implementation methods. † Correspondence: Chung-Ming Kuan, Institute of Economics, Academia Sinica, 128 Academia Road, Sec. 2, Taipei 115, Taiwan; ckuan@econ.sinica.edu.tw. †† I would like to express my sincere gratitude to the editor, Professor Steven Durlauf, for his patience and constructive comments on early drafts of this entry. I also thank Shih-Hsun Hsu and Yu-Lieh Huang for very helpful suggestions. The remaining errors are all mine.

2,069 citations

Journal Article

1,306 citations

01 Jan 2009
TL;DR: Current knowledge of lung cancers arising in never smokers versus smokers is summarized, suggesting that they are separate entities.
Abstract: Although most lung cancers are a result of smoking, approximately 25% of lung cancer cases worldwide are not attributable to tobacco use, accounting for over 300,000 deaths each year. Striking differences in the epidemiological, clinical and molecular characteristics of lung cancers arising in never smokers versus smokers have been identified, suggesting that they are separate entities. This Review summarizes our current knowledge of this unique and poorly understood disease.

1,025 citations