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Record W2410918291 · doi:10.1227/neu.0000000000000810

Nanoparticles and Microparticles

2015· article· en· W2410918291 on OpenAlexafffund
R. Loch Macdonald

Bibliographic record

VenueNeurosurgery · 2015
Typearticle
Languageen
FieldMaterials Science
TopicNanoparticle-Based Drug Delivery
Canadian institutionsSt. Michael's HospitalUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsMedicineNanoparticleNanotechnology

Abstract

fetched live from OpenAlex

NANOPARTICLES History Richard Feynman, the Nobel-prize winning theoretical physicist, is often credited with conceptualizing the future field of nanotechnology in his lecture at the American Physical Society meeting at the California Institute of Technology in 1959: “There's plenty of room at the bottom.” According to Tourney,1 however, Feynman's actual role in catalyzing the nanotechnology field was more accurately actually applied retrospectively. The field came closer to reality with the invention of the scanning tunneling microscope in 1981. Nanotechnology may have been used first by Taniguchi in 1974 and recoined by Drexler in 1981.2 Early commercial applications were nanoparticle titanium dioxide and zinc oxide for sunscreens; silver nanoparticles in food packaging, clothes, and disinfectants; and carbon nanotubes used in stain-resistant cloth. A search of Medline using the term nanomedicine or nanotechnology detects the first publications in 1978, the subject of which was nanoparticle drug delivery systems. There has been exponential growth in the number of publications since then (Figure 1). A search of PubMed from 1970 to January 2015 with the word nanomedicine or nanoparticles showed no publications until 1978, increasing to 60084 from 2011 to 2015.FIGURE 1: A PubMed search from 1970 to January 2015 using the words nanomedicine and nanoparticles showed no publications until 1978, increasing to 60084 from 2011 to 2015.As of January 2012, there were 67 commercial nanodevices and 33 nanomedicine products (drugs and imaging agents) approved, mostly by the US Food and Drug Administration, and predominantly for treatment of different cancers.3,4 There were 1575 clinical trials of nanomedicines on http://www.clinicaltrials.gov as of December 2014, with 1381 focused on cancer. Definition and Characteristics One definition of nanotechnology encompasses designing and making materials, machines, and things that are between 1 and 100 nm in size.5 This is around the size of viruses and DNA. DNA is 1 to 3 nm in diameter, and a human chromosome is up to 85 nm long. Ion channel pores are usually around an Angstrom (0.1 nm) in diameter; some may be up to 3 nm. Strictly speaking, chemotherapeutic monoclonal antibodies like bevacizumab are within the nanotechnology size (10-15 nm), as are other proteins (2-10 nm). One way to distinguish nanotechnology from these native molecules is to require by definition a second step in the engineering of the molecule (attaching to another nanomaterial, encasing it within, etc) to be defined as nanotechnology. Nanomaterials may be metals (metallic), organic molecules (organic), or a combination of the two (semiconducting). Potential advantages of nanoparticles or nanostructures are the increase in the ratio of surface area to volume and unique physical and chemical characteristics compared with individual drug molecules or larger structures like microparticles (Table). The characteristics of nanoparticles can be engineered to produce more favorable drug pharmacokinetics (absorption, distribution, metabolism, and excretion, or what the body does to the drug), better pharmacodynamics (effects on enzymes, cell surface receptors, channels, plasma, or other proteins; disruption of cells and such; or what the drug does to the body), and thus a better therapeutic index. Similarly and related to distribution, they can accumulate in tissues such as tumors by passive or active targeting, which is useful for imaging and for drug delivery (Table).TABLE: Characteristics, Advantages and Disadvantages of NanoparticlesA high ratio of surface area to volume means that if nanoparticles are coated with a molecule, that molecule, whether it is an antibody, chemotherapy drug, or contrast agent, will be carried by the particle at a high concentration. A hollow nanoparticle such as a liposome can be loaded with hundreds of drug molecules. Thus, nanoparticles can carry high concentrations of drugs. Second, some nanomaterials preferentially permeate tumor vasculature (passive targeting), or they can be targeted to tumors or specific tissues by coating the particle with a molecule or antibody specific to the target (active targeting). Passive targeting is mediated in part by the enhanced permeation and retention (EPR) effect whereby drugs and drug-containing nanoparticles accumulate in tumors or cross the incompetent blood-brain barrier (BBB) that is found in the central nervous system after various injuries and in some intracranial neoplasms.6 The EPR effect is a consequence of there being pores up to several hundred nanometers in diameter in the endothelium of tumor blood vessels (and some normal tissues) that do not exist in most normal endothelium. Thus, if the nanoparticles have an increased half-life in the circulation, which they can be designed to have, they will accumulate in tumors. Second, there is impaired lymphatic drainage from tumors, leading to accumulation of some drugs and nanoparticles in tumors. Drug permeation into tissues and tumors, however, involves a complex interaction of concentration and pressure gradients, as well as permeability of the endothelium, lymphatic drainage, and active efflux of the drugs by transporter proteins. Passive targeting systems rely on the EPR and on prolonging the drug half-life. Another physical property of nanoparticles or of materials with at least 1 dimension in the nanometer range is that they have unique electrical, magnetic, and optical properties.5 For example, iron oxide nanoparticles are used for magnetic resonance imaging. They have enhanced contrast because electrons spin in the same direction in the iron atoms in these particles, whereas in larger particles of iron oxide, the spins are not aligned, so the magnetic field and hence the contrast are reduced. Another example is cadmium selenide semiconductor nanoparticles (quantum dots) that can be synthesized to be <10 nm in diameter. Quantum dots of different diameters emit fluorescence at different wavelengths and have stronger fluorescence than traditional fluorescence dyes, which renders them useful for imaging. Current Applications Some examples approved by the US Food and Drug Administration include the use of nanostructures and nanotechnology for the diagnosis of various conditions because they can increase the sensitivity of the test and simplify the test.7 An example is the urine pregnancy test that detects human chorionic gonadotropin using a lateral flow in vitro diagnostic assay. Several other such biomarker assays are available, although the sensitivity is not necessarily higher than that of traditional assays, although they are faster and simpler to use. Imaging Approved products for imaging use superparamagnetic iron oxide crystals coated with dextran or carboxydextran (SPIONs) that are about 60 to 180 nm in diameter and are administered orally.8 They are selectively taken up in liver cells and are approved for liver imaging to detect liver metastases and for administration of iron to treat anemia in patients with chronic renal failure. Various other formulations also increased detection of metastatic disease. These particles also may be taken up by macrophages, which has led to interest in using them to image atherosclerotic plaques to detect unstable or vulnerable plaques. Hasan and coworkers9 administered a SPION imaging agent, ferumoxytol, to 30 patients with unruptured cerebral aneurysms. Ferumoxytol is taken up by macrophages and has been suggested to be useful for imaging macrophage-related inflammation. Among 7 of 30 patients (23%) who had marked early uptake of ferumoxytol in the aneurysm wall, all 3 who did not undergo aneurysm repair experienced aneurysm rupture within 6 months, suggesting that this imaging method, as well as the macrophage activity in unruptured aneurysm walls, indicates the aneurysm is unstable and prone to rupture. Furthermore, experimental studies show SPIONs can be targeted to specific tissues using magnetic fields and that they can be engineered to release a drug or other potential therapeutic agent in response to a magnetic field, which opens up another potential method for active targeting of therapeutic agents.10 Although the human applications are somewhat limited at present, nanotechnology has many experimental imaging applications. Mathieu and colleagues11 injected quantum dots into the cisterna magna and used in vivo hyperspectral imaging to demonstrate rapid clearance of the dots by undetermined but obviously novel pathways into the cervical lymph nodes (Figure 2).FIGURE 2: Quantum dots injected into the cisterna magna of a mouse and imaged in vivo with hyperspectral fluorescence imaging.11 Photographs are ventral views of the head and neck 20 minutes (A), 40 minutes (B), 1 hour (C), 2 hours (D), and 6 hours (E) after the injection. There is red quantum dot fluorescence in the submandibular area in the neck appearing as early as 20 minutes after injection. Green indicates skin/fur; blue, food autofluorescence. The spectral emission profile (gray dotted line, F) of the region indicated by the arrow in E shows the signal matches the quantum dot profile (red) and is different from autofluorescent green skin/fur and blue food (scale bar = 10 mm). Reproduced from Mathieu et al11 with permission from the publisher. Copyright © 2013 BioMed Central Ltd.Cancer The size, shape, and composition of nanoparticles affect the absorption, distribution, metabolism, and excretion of the particles. Wei et al3 noted that receptor-mediated cell uptake was optimal with 40- to 50-nm particles, whereas the EPR effect was best with 20-nm gold nanoparticles coated with polyethylene glycol (PEG). The optimal size of nanoparticles for delivery into tumors in some studies was 10 to 12 nm. On the other hand, excretion of the particles also depends in part on size and shape, with spheres <10 nm tending to be rapidly cleared by the kidneys. Clearance of larger particles tends to be by the reticuloendothelial system and liver, with differences in route of clearance determined by as little as 2 nm in diameter.3 The importance of such small differences highlights the potential difficulties in commercial manufacturing of nanoparticles for human use. Nanoparticles >10 nm that are taken up by macrophages and the reticuloendothelial system can accumulate in the liver, spleen, lungs, and kidneys. Smaller nanoparticles that are opsonized or that agglomerate also can be subject to clearance by this route. Metallic nanoparticles such as gold can remain in these tissues for months and potentially accumulate there. Nanoparticle coatings may prolong the half-life of drugs and favorably (or unfavorably) alter their pharmacokinetic and pharmacodynamic profile.12 Coatings may not be directed at specific targets (so-called passive targeting) or can be antibodies, aptamers (short oligonucleotide or peptide fragments that are designed to bind to specific target molecules), peptides, proteins, oligonucleotides, or other molecules (folic acid, carbohydrates) that are designed to lead to active targeting. Coating with PEG tends to reduce clearance from the circulation and probably decreases immunological effects (Nanoparticles can activate immune responses or, in the case of fullerenes, have immunosuppressant effects).3,13 Coating of liposomes (spherical lipid bilayers that can be filled with drugs like chemotherapy drugs) with PEG was the key to prolonging their circulation time, which permitted accumulation in tumors by the EPR effect. Cationic nanoparticles have a positive surface charge or zeta potential and tend to be more toxic; anionic ones tend to be less so, possibly because they are less prone to cause protein aggregation and membrane permeation. Clearance of nanoparticles and smaller microparticles can be by opsonization (adsorption of plasma proteins onto the particle surface, which leads to phagocytosis by macrophages and the reticuloendothelial system) and by nonopsonization pathways. Nanoparticles and some microparticles also may be removed from the circulation by being taken up by the scavenging receptor macrophage receptor with collagenous structure on inflammatory monocytes. Thus, nanoparticle formulations of drugs may lead to less toxicity, higher tumor exposure, and more optimal pharmacokinetics, although this has not always been reproduced in vivo. Most passive targeting relies on coatings nanoparticles with chemicals such as PEG. Passive targeting relies in part on the EPR effect. Many nanoparticle drugs being developed rely on this, including many different chemotherapy drugs complexed in liposomes or as polymer drug conjugates using polymers like PEG, N-(2-hydroxypropyl) methacrylamide, and human albumin, among others. One of the first examples was 130-nm nanoparticles composed of albumin and paclitaxel that increase tumor delivery by the EPR effect plus the additional mechanism that albumin may accumulate in tumors; they are used for metastatic breast and non–small-cell lung cancer in which increased efficacy has been demonstrated.14 Combined passive and stabilization strategies can be used; for example, there is a formulation of 20- to 50-nm micelles composed of PEG and poly-D,L-lactide polymers that are filled with paclitaxel. This formulation allows a higher dose of paclitaxel to be administered to patients because of reduced toxicity, but this has so far not been associated with increased survival from a variety of cancers.14 An early nanoparticle formulation was doxorubicin liposomes, which have reduced toxicity compared with native doxorubicin, although Stirland and colleagues14 questioned whether there was any evidence for enhanced efficacy. Nanoparticle chemotherapy delivery systems are approved for breast cancer and acute lymphocytic leukemia. Active targeting involves coating nanoparticles with antibodies or ligands to cell surface receptors that in theory would increase delivery of the particles to the desired cells, a strategy that has often been effective in vitro.12 On the other hand, in vivo, targeted nanoparticles have to cross the endothelial cell layer, including its surface glycocalyx and the basement membrane, and then diffuse to the cells that are targeted, with the diffusion affected by tissue pressure gradients.3 The strategy has been difficult to translate to humans. One formulation of gemtuzumab ozogamicin (a humanized monoclonal antibody to CD33 linked to calicheamicin, an antibody that damages DNA), was initially approved for use but then withdrawn after postmarketing studies showed limited evidence for efficacy and increased toxicity.14 An example of a targeted formulation being studied clinically is 27-nm gold nanoparticles coated with recombinant human tumor necrosis factor-α and PEG. Intravenous injection into humans with malignancies showed selective uptake of the nanoparticles in tumors.15 There was reduced exposure of the rest of the patient to tumor necrosis factor-α, permitting administration of up to 20 times as much tumor necrosis Although many studies have been and several products are clinical no targeted nanoparticle drugs are approved for use in humans. et a complex to nanoparticle for targeted delivery of They size, PEG coating and number of ligands was a membrane drug drug release ratio of to and A nanoparticle was synthesized with pharmacokinetics and efficacy experimental cancer in is being in clinical trials in and non–small-cell lung cancer. to target tumors with this active targeting have not Drug delivery to tumors is by all of the noted of lymphatic drainage, drug and by the The may be in tumors, although of active tumor may have a The other to for drug delivery to the is that the endothelial cells of the that can drugs and efflux such as breast and protein 2 that drugs of the The EPR effect has been suggested to the increased uptake of and other nanoparticles chemotherapeutic in of et experimental studies using nanoparticle drug formulations to drugs to the and that was limited so One way to the is to drugs into the or delivery of drugs and nanoparticles into the was by et in is potentially to many conditions but has been applied for tumors. include that the pressure in the or tissue at the of will affect diffusion and that the is in size and to be small nm). Furthermore, the size of the and tumor with is and filled with a complex and is in and there to exist an flow the et studied delivery of nanoparticles in human tissue vivo and mouse in vivo. of nanoparticles was enhanced if they were coated with PEG. Nanoparticles 40 to 100 but not in diameter diffuse up to if coated with PEG. nanoparticles loaded with paclitaxel 85 nm also They that these chemical of nanoparticles be used to and delivery of drugs for tumors. of the drug into the tumor may be by the pressure in the Second, to the that the EPR effect is to endothelium in tumors, nanoparticles will also accumulate in other with endothelium like the liver and Passive targeting may chemotherapy but et noted that there may be better including targeted delivery for intracranial to reduce drug toxicity and efficacy. and Applications of some nanomaterials has been responses after administration of nanoparticles were The responses are and include immunosuppressant and effects that with the nanoparticle formulation on the of some like responses to proteins and antibodies in the as well as from cadmium quantum dots can be to in nanoparticles can acute and then inflammation. effects in vivo in humans include renal toxicity after injection of nanoparticles to acute toxicity include and impaired on chronic toxicity are Active targeting can be by systems or antibodies, and For the is that drug release from the is in the tumor by a physical or in the Many of these on the differences in these between tumors and normal tissue such as their specific or proteins in the and active targeting can be using viruses that target tumors or coating nanoparticles with antibodies to proteins in tumors. Several approved targeted chemotherapy are mostly a chemotherapy drug linked to an antibody, or These include for breast cancer and for some Some are approved, but in the One example in the is the protein that has a into Many of the same chemicals and have been and are being used for drug delivery on a The central nervous however, unique for drug delivery from the and as a of this and the of specific molecules to there is in high concentrations of drugs to the of in the There are Intravenous administration of reduced the of but did not clinical potentially because of increased increased such as For tumors, several strategies have been The was by and who developed and US Food and Drug Administration for of in the polymer and microparticles of have been injected into the around the of patients with to release drug into the at high concentrations A of this is the to the microparticles into the after which they would have to diffuse the for to target all of the tumor The with delivery are On the other hand, drugs injected into the are into the circulation, so some exposure then would in the by a on permeability and efflux Furthermore, tumors are not a disease. An for administration of a drug delivery system would be a in a body or that is and for which a treatment that is to et studies of delivery of polymers to of central nervous system They noted that drugs be used to to and cell or to molecules that cause cell or and cells are other therapeutic and the on to use intracranial or drug delivery for experimental and clinical that have been used to release include liposomes, and the is not of polymer is in the potential of drug release that can be as well as the of drug that can be used and the response to the oxide and tissue in and are limited to and The most that are 2 10 in size and in et that as little as reduced in a of One compared patients with with of up to 40 in with with had less and A of the found 2 that patients with the The other drug in humans was in The were in the of patients of and the were compared with of Although was reduced and was are limited by the and A of the and is that they be administered or are difficult to which would be of a of administration in patients aneurysm or it as to whether drug delivery by these would concentrations high to the cerebral in in the these in a delivery system for release after or injection in patients with has a profile in humans and efficacy in after The was that this would high concentrations of to the to reduce impaired and suggested to to cerebral after concentrations would be a administration would be if the microparticles were engineered to release drug The size range of the particles was 20 to 100 because smaller microparticles may be cleared by macrophages and larger ones may be difficult to toxicity studies were as were studies on the effects on in a of microparticles are with to be injected or with for injection (Figure These studies permitted an Drug in the and from to the and of in a and pharmacokinetic and in patients with This the and pharmacokinetics of microparticles in of 12 patients to microparticles and no = = have been and plasma pharmacokinetics show plasma concentrations after administration of patients experienced whereas of experienced of the of this formulation are this and F) of microparticles or the same formulations after at to for 30 showed no in or for clinical (scale bar = 20 indicates and blue, in in and is and blue, 2 in in and is in some to the central nervous For example, and that microparticles reduced in with injected by the of inflammatory into their These microparticles also reduced and various in inflammatory in such as experimental and from the for and and of is of

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.003
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0100.006

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.032
GPT teacher head0.237
Teacher spread0.206 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2015
Admission routes2
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Same venueNeurosurgerySame topicNanoparticle-Based Drug DeliveryFrench-language works237,207