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Nanoformulations and Nano Drug Delivery
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Nanoformulations and Nano Drug Delivery

A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Pharmacology".

Deadline for manuscript submissions: closed (31 July 2022) | Viewed by 24518

Special Issue Editor

Dr. Sanoj Rejinold

E-Mail Website
Guest Editor
Institute of Tissue Regeneration Engineering, Dankook University, Cheonan, Republic of Korea
Interests: polymer
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Over the last few decades, the body of research on nanotechnology has tremendously grown, especially in the areas of drug delivery, bio-imaging, therapy, and diagnostics. In addition, novel molecular self-assembled structures have been widely applied for various therapeutic drug delivery purposes. In this Special Issue, we would like to showcase functional nanomaterials of organic, inorganic, or hybrid origin with specific applications to further enhance their scope in theranosis. I welcome you to take this special opportunity to show the world what you have been doing in terms of excellent science and technology.

Dr. Sanoj Rejinold
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Molecular Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

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Keywords

  • nanoformulations
  • inorganic nanoparticles
  • organic nanoparticles
  • hybrid nanomaterials
  • self-assebled nanoparticles
  • cancer therapy
  • tissue engineering
  • diagnostics
  • therapy
  • novel formulations

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Published Papers (4 papers)

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Research

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17 pages, 5412 KiB  
Article
Nanoparticles Formulation Improves the Antifibrogenic Effect of Quercetin on an Adenine-Induced Model of Chronic Kidney Disease
by Esteban Andrés Sánchez-Jaramillo, Luz Elena Gasca-Lozano, José María Vera-Cruz, Luis Daniel Hernández-Ortega, Carmen Magdalena Gurrola-Díaz, Blanca Estela Bastidas-Ramírez, Belinda Vargas-Guerrero, Mayra Mena-Enríquez, Felipe de Jesús Martínez-Limón and Adriana María Salazar-Montes
Int. J. Mol. Sci. 2022, 23(10), 5392; https://doi.org/10.3390/ijms23105392 - 12 May 2022
Cited by 10 | Viewed by 2995
Abstract
Renal fibrosis is the final stage of chronic kidney injury characterized by glomerulosclerosis and tubulointerstitial fibrosis with parenchymal destruction. Quercetin belongs to the most studied flavonoids with antioxidant, anti-inflammatory, antifibrogenic, and antitumor activity. It modifies the TGF-β/Smad signaling pathway, decreasing profibrogenic expression molecules [...] Read more.
Renal fibrosis is the final stage of chronic kidney injury characterized by glomerulosclerosis and tubulointerstitial fibrosis with parenchymal destruction. Quercetin belongs to the most studied flavonoids with antioxidant, anti-inflammatory, antifibrogenic, and antitumor activity. It modifies the TGF-β/Smad signaling pathway, decreasing profibrogenic expression molecules and inducing the expression of antioxidant, anti-inflammatory, and antifibrogenic molecules. However, quercetin exhibits poor water solubility and low absorption and bioavailability. This limitation was solved by developing a nanoparticles formulation that improves the solubility and bioavailability of several bioactive compounds. Therefore, we aimed to investigate the in vivo antifibrogenic effect of a quercetin nanoparticles formulation. Male C57BL/6 mice were induced into chronic renal failure with 50 mg/kg of adenine for four weeks. The animals were randomly grouped and treated with 25, 50, or 100 mg/kg of quercetin, either macroparticles or nanoparticles formulation. We performed biochemical, histological, and molecular analyses to evaluate and compare the effect of macroparticles versus nanoparticles formulation on kidney damage. Here, we demonstrated that smaller doses of nanoparticles exhibited the same beneficial effect as larger doses of macroparticles on preventing kidney damage. This finding translates into less quercetin consumption reaching the desired therapeutic effect. Full article
(This article belongs to the Special Issue Nanoformulations and Nano Drug Delivery)
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10 pages, 2703 KiB  
Article
Resveratrol-Encapsulated Mitochondria-Targeting Liposome Enhances Mitochondrial Respiratory Capacity in Myocardial Cells
by Takao Tsujioka, Daisuke Sasaki, Atsuhito Takeda, Hideyoshi Harashima and Yuma Yamada
Int. J. Mol. Sci. 2022, 23(1), 112; https://doi.org/10.3390/ijms23010112 - 22 Dec 2021
Cited by 24 | Viewed by 3948
Abstract
The development of drug delivery systems for use in the treatment of cardiovascular diseases is an area of great interest. We report herein on an evaluation of the therapeutic potential of a myocardial mitochondria-targeting liposome, a multifunctional envelope-type nano device for targeting pancreatic [...] Read more.
The development of drug delivery systems for use in the treatment of cardiovascular diseases is an area of great interest. We report herein on an evaluation of the therapeutic potential of a myocardial mitochondria-targeting liposome, a multifunctional envelope-type nano device for targeting pancreatic β cells (β-MEND) that was previously developed in our laboratory. Resveratrol (RES), a natural polyphenol compound that has a cardioprotective effect, was encapsulated in the β-MEND (β-MEND (RES)), and its efficacy was evaluated using rat myocardioblasts (H9c2 cells). The β-MEND (RES) was readily taken up by H9c2 cells, as verified by fluorescence-activated cell sorter data, and was observed to be colocalized with intracellular mitochondria by confocal laser scanning microscopy. Myocardial mitochondrial function was evaluated by a Seahorse XF Analyzer and the results showed that the β-MEND (RES) significantly activated cellular maximal respiratory capacity. In addition, the β-MEND (RES) showed no cellular toxicity for H9c2 cells as evidenced by Premix WST-1 assays. This is the first report of the use of a myocardial mitochondria-targeting liposome encapsulating RES for activating mitochondrial function, which was clearly confirmed based on analyses using a Seahorse XF Analyzer. Full article
(This article belongs to the Special Issue Nanoformulations and Nano Drug Delivery)
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11 pages, 2158 KiB  
Article
Prediction of Anti-Glioblastoma Drug-Decorated Nanoparticle Delivery Systems Using Molecular Descriptors and Machine Learning
by Cristian R. Munteanu, Pablo Gutiérrez-Asorey, Manuel Blanes-Rodríguez, Ismael Hidalgo-Delgado, María de Jesús Blanco Liverio, Brais Castiñeiras Galdo, Ana B. Porto-Pazos, Marcos Gestal, Sonia Arrasate and Humbert González-Díaz
Int. J. Mol. Sci. 2021, 22(21), 11519; https://doi.org/10.3390/ijms222111519 - 26 Oct 2021
Cited by 5 | Viewed by 3098
Abstract
The theoretical prediction of drug-decorated nanoparticles (DDNPs) has become a very important task in medical applications. For the current paper, Perturbation Theory Machine Learning (PTML) models were built to predict the probability of different pairs of drugs and nanoparticles creating DDNP complexes with [...] Read more.
The theoretical prediction of drug-decorated nanoparticles (DDNPs) has become a very important task in medical applications. For the current paper, Perturbation Theory Machine Learning (PTML) models were built to predict the probability of different pairs of drugs and nanoparticles creating DDNP complexes with anti-glioblastoma activity. PTML models use the perturbations of molecular descriptors of drugs and nanoparticles as inputs in experimental conditions. The raw dataset was obtained by mixing the nanoparticle experimental data with drug assays from the ChEMBL database. Ten types of machine learning methods have been tested. Only 41 features have been selected for 855,129 drug-nanoparticle complexes. The best model was obtained with the Bagging classifier, an ensemble meta-estimator based on 20 decision trees, with an area under the receiver operating characteristic curve (AUROC) of 0.96, and an accuracy of 87% (test subset). This model could be useful for the virtual screening of nanoparticle-drug complexes in glioblastoma. All the calculations can be reproduced with the datasets and python scripts, which are freely available as a GitHub repository from authors. Full article
(This article belongs to the Special Issue Nanoformulations and Nano Drug Delivery)
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Review

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15 pages, 1776 KiB  
Review
Atypical Renal Clearance of Nanoparticles Larger Than the Kidney Filtration Threshold
by Christophorus F. Adhipandito, Siu-Hung Cheung, Yu-Han Lin and Si-Han Wu
Int. J. Mol. Sci. 2021, 22(20), 11182; https://doi.org/10.3390/ijms222011182 - 17 Oct 2021
Cited by 54 | Viewed by 13105
Abstract
In recent years, several publications reported that nanoparticles larger than the kidney filtration threshold were found intact in the urine after being injected into laboratory mice. This theoretically should not be possible, as it is widely known that the kidneys prevent molecules larger [...] Read more.
In recent years, several publications reported that nanoparticles larger than the kidney filtration threshold were found intact in the urine after being injected into laboratory mice. This theoretically should not be possible, as it is widely known that the kidneys prevent molecules larger than 6–8 nm from escaping into the urine. This is interesting because it implies that some nanoparticles can overcome the size limit for renal clearance. What kinds of nanoparticles can “bypass” the glomerular filtration barrier and cross into the urine? What physical and chemical characteristics are essential for nanoparticles to have this ability? And what are the biomolecular and cellular mechanisms that are involved? This review attempts to answer those questions and summarize known reports of renal-clearable large nanoparticles. Full article
(This article belongs to the Special Issue Nanoformulations and Nano Drug Delivery)
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