Abstract
Nanoparticles (NPs) are widely used in a variety of fields, including those related to consumer products, architecture, energy, and biomedicine. Once they enter the human body, NPs contact proteins in the blood and interact with cells in organs, which may induce cytotoxicity. Among the various factors of NP surface chemistry, surface charges, hydrophobicity levels and combinatorial decorations are found to play key roles inregulating typical cytotoxicity-related bioeffects, including protein binding, cellular uptake, oxidative stress, autophagy, inflammation, and apoptosis. In this review, we summarize the recent progress made in directing the levels and molecular pathways of these cytotoxicity-related effects by the purposeful design of NP surface charge, hydrophobicity, and combinatorial decorations.
Introduction
Due to their unique physicochemical properties, nanoparticles (NPs) with various compositions (metals, metal oxides, semiconductors, and organic molecules) are widely used in various materials, including those in the consumer product, architecture, energy, and biomedicine fields (De Volder et al., ; Peng et al., 2014; Lane et al., 2015; Chen et al., ). NPs may enter the human body through oral administration, implantation, intravenous injection, transdermal absorption, etc., eliciting public concerns about the adverse effects of NPs (Zhang et al., 2014). Once entering the human blood circulation system, NPs spontaneously adsorb proteins, which reduce their surface free energy (Cedervall et al., ; Lundqvist et al., 2008; Monopoli et al., 2012; Su et al., 2016). Moreover, NPs can interact with the cell membrane (Lin et al., 2010; Jing and Zhu, ; Lesniak et al., 2013), lipids (Leroueil et al., 2008), proteins (Mahmoudi et al., 2011), and DNA (Asharani et al., ; Xie J. et al., 2019), eliciting various bioeffects, such as the disruption of the cell membrane, oxidative stress, apoptosis, inflammation, and autophagy, which may ultimately lead to cytotoxicity. Elucidation of NP-induced cytotoxicity is crucial for human health.
Interactions between NPs and biosystems are critically determined by surface chemistry. Surface modification of NPs may be made during the synthesis process or environmental exposure (Bystrzejewska-Piotrowska et al., ; Wang et al., 2013). For example, charged ligands such as cetyl trimethyl ammonium bromide (CTAB) and citrate acid are frequently used as protective agents in NP synthesis processes (Nikoobakht and El-Sayed, 2003; Lim et al., 2009). Surface decorations can regulate the physicochemical properties of NPs to ultimately affect their various biological effects. For example, a decoration comprising positively charged and hydrophobic ligands on NPs can enhance the cellular uptake level (Su et al., 2012; Li et al., 2015a). A decoration consisting of poly(ethylene glycol) (PEG) can reduce protein binding in the blood and avoid recognition by the reticular endothelial system (RES) (Zhang T. et al., 2019). Moreover, surface chemistry is one of the key factors that can trigger adverse effects in biosystems. The role of surface functionality in determining nanobiological interactions has been well reviewed in some excellent recent literature (Verma and Stellacci, 2010; Albanese et al., ; Kim et al., 2013; Nam et al., 2013; Zhu et al., 2013). To establish a distinct relationship between the surface chemistry of NPs and cytotoxicity, in this review, we systematically summarize our research and that of others on the latest progress in understanding the impact of typical surface chemistry, including surface charge, hydrophobicity, and combinatorial decorations, on various cytotoxicity-related bioeffects, including protein binding, cellular uptake, oxidative stress, autophagy, inflammation, and apoptosis. The surface chemistry driver of bioeffect levels and molecular pathways is discussed in detail. These findings may be used to predict adverse cellular responses of NPs and guide the design of environmentally safe NPs, including medical NPs that could potentially be used in the treatment of diseases.
Protein Binding
NPs can enter the human body through multiple pathways and be distributed to different organs through circulating blood. In blood, NPs progressively and selectively adsorb proteins and form protein coronas that reduce their surface free energy. According to binding strength and relative position, a protein corona can be divided into a hard part and a soft part. The hard corona binds to the surface of the NP tightly, where it forms a near-monolayer. The soft corona is formed over top of the hard corona, and the interactions between the soft corona and NPs are weak (Monopoli et al., 2012). The protein corona on NPs can be analyzed by atomic force microscope images, fluorescence spectroscopy, circular dichroism, sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE), and mass spectrometry (Cedervall et al., ; Ge et al., ).
The formation of protein corona can result in undesired cellular uptake, nanoparticle aggregation, or immune responses (Karmali and Simberg, 2011). However, it can also alleviate cytotoxicity. For example, in THP-1 and human umbilical vein endothelial cells (HUVECs), the adsorption of bovine fibrinogen, bovine serum albumin (BSA), transferrin, or gamma globulin formed compact layers on NPs' surface, which effectively shield cells from the exposure of NPs' surfaces and alleviate the cytotoxicity induced by single-walled carbon nanotubes (SWCNTs) (Ge et al., ). In another study, serum protein adsorption significantly reduced the cytotoxicity of graphene oxide (GO) in A549 cells (Hu et al., ). In addition, protein binding can drastically alter the physicochemical properties of NPs and affect their behavior in vivo (Albanese et al., ).
In this section, we summarize recently published literatures related to the regulation of protein binding by NPs' surface charge, hydrophobicity, and combinatorial surface modifications (Table 1), which are generally considered as important factors that characterize NPs' surface coating.
Table 1
| Composition | Size | Surface chemistry/Zeta potential/LogP | Protein binding capacity | References |
|---|---|---|---|---|
| Gold | 5–20 nm | Poly(N-(2-aminoethyl) acrylamide) (PAEA, 46– 57 mV), poly(acrylic acid) (PAA, −25 to −60 mV), poly(N-(2,3-dihydroxypropyl)acrylamide) (PDHA, slightly negatively charged) | PAEA>PAA>PDHA | Deng et al., |
| Gold | 17 nm | Methoxy-PEG-alkyl-thiol, methoxy-PEG-thiol | Methoxy-PEG-thiol>methoxy-PEG-alkyl-thiol | Larson et al., 2012 |
| Gold | 14–22 nm | Mercaptosuccinic acid, N-4-thiobutyroil glucosamine, PEG5000 and alkyl-PEG600 | (Mercaptosuccinic acid and N-4-thiobutyroil glucosamine)>(PEG5000 and alkyl-PEG600) | Silvestri et al., 2017 |
| Gold | 5 nm | PEG, citric-, phosphine-, poly(isobutylene-alt-maleic anhydride) | [Citric-, phosphine-, poly(isobutylene-alt-maleic anhydride)]>PEG | Johnston et al., 2017 |
| Gold | 13 nm | PEG (−13.5 mV), tannic acid (−28.1 mV) | Tannic acid>PEG | Braun et al., |
| Gold | 15, 30, 60, 90 nm | PEG (5 kDa) | Negatively correlated with PEG density | Walkey et al., 2012 |
| Gold | 45 nm | PEG (2, 5, 10, 20 kDa), −5.4 mV to −25.4 mV | Positively correlated with PEG chain length | Su et al., 2018 |
| Silver | 30 nm | PEG (−16.2 mV), citrate (−22.9 mV), polyvinylpyrrolidone (−22.1 mV) | (Citrate, polyvinylpyrrolidone)>PEG | Pang et al., 2016 |
| Silica | 50 nm | COOH (−42 mV), NH2 (25 mV) | COOH>NH2 | Kurtz-Chalot et al., 2017 |
| Silica | 100 nm | Hydration (−34.63 mV), dextran (−17.54 mV), gelatin (−23.52 mV), amination (14.91 mV), PEI (15.84 mV), | (Hydration, dextran, gelatin)>(amination, PEI) | Wang et al., 2017 |
| Silica | 170 nm | Succinic anhydride (−5 mV to −40 mV) | Decreased with the increase in negative charge density | Beck et al., |
| Iron oxide | 10 nm | Methacrylic acid, citric acid | Methacrylic acid>citric acid | Mekseriwattana et al., 2019 |
| Iron oxide | 12 nm | Glucose, PEG | Glucose>PEG | Stepien et al., 2018 |
| ZnO | 39 nm | PEG (10 mV), bare (30 mV) | Bare>PEG | Luo et al., 2014 |
| SWCNTs | Diameter: 6-8 nm | COOH (hydrophilic, −23.27 mV), CH3 (hydrophobic, 12.63 mV) | COOH>CH3 | Li et al., 2013 |
| MWCNTs | Diameter: 10–20 nm, length: 5–15 μm | Pristine (−14.97 mV), PEG (−15.60 mV) | Pristine>PEG | Zhang T. et al., 2019 |
| Nanodiamonds | 5 nm | Hydrogen-terminated (49 mV), oxygen-terminated (−51 mV) | Oxygen-terminated> hydrogen-terminated | Aramesh et al., |
| Polystyene | 140 nm | COOH (−7.21 mV), NH2 (7.58 mV) | COOH>NH2 | Kokkinopoulou et al., 2017 |
| Polystyrene | 50 nm | Sulfonated (−13.3 mV), carboxylated (−10.2 mV) | Carboxylated>sulfonated | Abdelkhaliq et al., |
| N-isopropylacrylamide-co-N-tert-butylacrylamide copolymer | 70 nm | NIPAM:BAM=85:15 (more hydrophilic), 65:35, and 50:50 (more hydrophobic) | 50:50>65:35>85:15 | Cedervall et al., |
Protein binding regulated by NPs' surface chemistry.
Surface Charge
Compared to neutral NPs, charged NPs tend to adsorb more proteins from serum. For example, poly(N-(2-aminoethyl)acrylamide) and poly(acrylic acid)-decorated gold nanoparticles (GNPs, 5–20 nm), which exhibit positive and negative charge, respectively, adsorbed large amounts of plasma proteins; however, relatively few proteins adsorbed onto neutrally charged poly(N-(2,3-dihydroxypropyl)acrylamide)-GNPs (Deng et al., ).
Regarding charged NPs, positive and negative charges exhibit different protein binding capacities. For example, silica NPs (50 nm) decorated with amine or carboxyl groups exhibited different protein binding levels, with the negatively charged silica NPs adsorbing more proteins from human serum than were adsorbed by their positively charged counterparts (Kurtz-Chalot et al., 2017). In another study, it was also found that polystyrene (PS) NPs (140 nm) decorated with carboxyl or amine group exhibited different binding capacities to human serum protein. The total number of corona proteins on carboxyl-decorated PS NPs was higher than the number on their amine-decorated counterparts (Kokkinopoulou et al., 2017). The surface charge of silica NPs (100 nm) affected the recruitment of transforming growth factor (TGF)-β1 to the NP surface. Positively charged aminated- and polyetherimide (PEI)-silica NPs completely failed to adsorb TGF-β1 in a mouse lung tissue homogenate supernatant, while negatively charged hydrogenated, dextran-silica, and gelatin-silica NPs largely adsorbed TGF-β1 (Wang et al., 2017). The surface charge of nanodiamonds (5 nm) could regulate protein binding speed. The adsorption rate of BSA on negatively charged nanodiamonds is higher than the rate on positively charged counterparts (Aramesh et al., ). Therefore, negatively charged NPs are more liable to adsorb proteins compared to positively charged NPs.
For NPs with a negative charge, the protein binding could also be tuned by other factors, including charge densities and ligand species. For example, libraries of silica NPs (170 ± 20 nm) with continuously changing surface charge densities were synthesized by tuning the surface density of negatively charged succinic anhydride ligand. The overall amounts of serum protein, BSA, and apolipoprotein 1 adsorbed onto silica NPs decreased with the increase in negative charge density (Beck et al., ). Both sulfonated and carboxylated PS NPs (50 nm) have negatively charged surfaces. Although the composition of the protein corona isolated from these PS NPs was the same, some proteins, including A2M, AFP, APOA2, APOH, and HBB were significantly less adsorbed onto the sulfonated PS NPs (Abdelkhaliq et al., ). In another study, it was found that negatively charged poly(methacrylic acid)-decorated iron oxide NPs (10 nm) tended to adsorb more proteins from fetal bovine serum (FBS) than were adsorbed by citric acid-decorated iron oxide NPs (Mekseriwattana et al., 2019).
In addition to protein levels, surface charge could also define the protein species adsorbed onto NPs. For example, more total and complement protein species were adsorbed on positively charged silica NPs (50 nm) than were adsorbed on their negatively charged counterparts (Kurtz-Chalot et al., 2017). In another study, the protein binding of amine-functionalized and bare PS NPs (100 nm) was compared. The proteins adsorbed on the positively charged PS NPs were more hydrophobic than those adsorbed on the bare PS NPs (Kendall et al., 2015). For pristine, amine-modified and carboxyl-modified silica NPs (22.4 ± 2.2 nm), the surface charge affects the adsorption of the proteins species related to immune responses, transport, regulation of proteolysis, hyaluronan metabolic processes, and other functions (Mortensen et al., 2013). Citric acid, poly(acrylic acid), and oleic acid decorations all endow iron oxide NPs with a negative charge; however, the protein corona composition and structure were influenced by these three kinds of surface decoration (Jedlovszky-Hajdú et al., ).
Hydrophobicity
Cedervall et al. () used a series of copolymer NPs to investigate the impact of NP hydrophobicity on protein binding. They found that the number of protein molecules adsorbed onto NPs increased with NP hydrophobicity. However, in other papers, an opposite conclusion was drawn. For example, hydrophilic COOH- and hydrophobic CH3-SWCNTs exhibited different affinities for recombinant human bone morphogenetic protein-2 (rhBMP-2). The amount of rhBMP-2 adsorbed onto the COOH-SWCNTs was higher than the amount adsorbed onto the CH3-SWCNTs (Li et al., 2013). In another study, incorporating an alkyl linker between the PEG and thiol moieties enhanced the hydrophobicity of the ligands, which resulted in a decrease in protein binding onto GNPs (17 nm) (Larson et al., 2012).
Due to the presence of hydrophilic group, such as ether bond in the middle of the polymer chain and hydroxyl at the end, PEG modification on NPs could reduce surface hydrophobicity (Kleemann et al., 2005; Sheng et al., 2009; Xiong et al., 2012; Jiang et al., ). PEG decoration on GNPs and silver NPs leads to lower protein binding compared to other decorations. For example, compared to mercaptosuccinic acid and N-4-thiobutyroil glucosamine, PEG5000 and alkyl-PEG600 decorations on GNPs (14–22 nm) induced lower levels of protein adsorption from FBS (Silvestri et al., 2017). In another comparative study, PEG-GNPs (5 nm) were found to adsorb fewer proteins than were adsorbed by citric-, phosphine-, or poly(isobutylene-alt-maleic anhydride)-GNPs (Johnston et al., 2017). Moreover, PEG decoration on GNPs (13 nm) was also found to bind fewer proteins than were bound by the tannic acid decoration (Braun et al., ). For silver NPs (30 nm), PEG decoration led to lower adsorption of BSA than was adsorbed by citrate and polyvinylpyrrolidone decorations (Pang et al., 2016).
The PEG density and length can tune protein binding on GNPs. For GNPs of four different sizes (15, 30, 60, 90 nm), the total serum protein adsorption was negatively correlated with PEG density (Figure 1) (Walkey et al., 2012). Furthermore, as the molecular weight of the PEG decoration increased from 2 to 20 K, the amount of adsorbed protein on the GNPs (45 nm) showed an increasing trend (Su et al., 2018).
Figure 1
PEG decoration on other NPs can also reduce protein adsorption. For example, PEG decorated ZnO NPs (39 ± 4 nm) exhibited a lower level of protein adsorption from FBS compared to bare ZnO NPs (Luo et al., 2014). Compared to NPs with glucose decoration, PEG-iron oxide NPs (12 nm) bound fewer proteins (Stepien et al., 2018). PEG decoration was also found to reduce the adsorption of BSA and IgG compared to pristine multi-walled carbon nanotubes (MWCNTs, with an average diameter of 10–20 nm and length of 5–15 μm) (Zhang T. et al., 2019).
Combinatorial Surface Modifications
Combinatorial chemistry could efficiently afford a vast number of structurally related molecules and materials. The synthesis of surface-modified nanoparticle libraries has been considered as a powerful tool to modulate nanoparticle properties (Zhou et al., 2008). Combining with both experimental and computational methods, the NP libraries could be used to rapidly discover nanoparticles with specific activity and reveal structure-activity relationship at the same time (Gao et al., ; Zhou et al., 2011; Wu et al., 2014; Liu Y. et al., 2015; Zhang et al., 2016).
For examples, Zhou et al. synthesized combinatorial libraries of surface-modified MWCNTs and GNPs to investigate the relationships between NP surface chemistry and their ability to bind proteins. They found that surface chemistry could tune the binding affinity of MWCNTs for four typical proteins, namely, BSA, carbonic anhydrase, chymotrypsin, and hemoglobin and for proteins in human plasma and a cell culture medium (Zhou et al., 2008). Furthermore, chemical modifications on the MWCNT surface could perturb the enzymatic activity of CYP3A4 in human liver microsomes by binding to the protein and altering its conformation. Based on a QSAR analysis, Zhang et al. found that long and complex hydrophobic or aromatic side chains on MWCNT surfaces were responsible for inducing the inhibitory effects of f-MWCNTs on CYP3A4, while pharmacophores with lower aromaticity and fewer tertiary nitrogen atoms were more likely to generate safe MWCNTs (Zhang et al., 2016). Moreover, Liu et al. also found that the surface chemistry of the GNPs could dramatically affect both non-specific binding (away from the peripheral site) and specific binding to acetylcholinesterase (AChE), which resulted in the inhibition of the enzyme (Liu Y. et al., 2015).
Cellular Uptake
NPs can enter into cells through multiple pathways, including macropinocytosis and clathrin-, and caveolae-dependent endocytosis et al (Sahay et al., 2010). For macrophages, phagocytosis is the predominant mechanism, while non-professional phagocytes, including epithelial cells, fibroblasts, and endothelial cells, may also undertake phagocytosis relatively less frequently (Hillaireau and Couvreur, ). Multiple endocytosis inhibitors could be used to distinguish the uptake pathways, including cytochalasin D, methyl-β–cyclodextrin, nocodazole, etc. (Saha et al., 2013). However, non-specificity and cytotoxicity are inherent disadvantages of these inhibitors. Therefore, multiple inhibitors for a certain pathway are usually used simultaneously, and the dose is carefully chosen.
The cellular uptake level of NPs are usually determined by inductively coupled plasma-mass spectrometry and transmission electron microscopy (TEM) (Su et al., 2012; Saha et al., 2013; Wu et al., 2014; Van Haute et al., 2018). For fluorescent NPs and NPs decorated with fluorescent ligand, the uptake level and subcellular localization can also be analyzed by fluorescence microscope, laser scanning confocal microscopy, and flow cytometry (Zhang et al., 2002; Mahmoud et al., 2010).
The cellular uptake of NPs is strongly associated with various cytotoxicity-related bioeffects, including oxidative stress, apoptosis, autophagy, and inflammation (Xia et al., 2008; Foldbjerg et al., ; Stern et al., 2012; Sun et al., 2018). For example, Xia et al found that ZnO NPs (13 nm) internalized by RAW264.7 cells elicited oxidative stress, inflammation, and cell death (Xia et al., 2008). In our previous study, cellular uptake level of hydrophobic and positively charged GNPs (6 nm) was positively correlated with oxidative stress level in A549 cells. Inhibition of GNPs' internalization led to the decrease of oxidative stress level, indicating that oxidative stress induced by GNPs is internalization-dependent (Sun et al., 2018). Therefore, for certain NPs, cellular uptake is positively correlated with cytotoxicity. In this section, we summarize recently published literatures related to the regulation of cellular uptake by NPs' surface charge, hydrophobicity, and combinatorial surface modifications (Table 2).
Table 2
| Composition | Size | Surface chemistry/Zeta potential/LogP | Cell line | Cellular uptake level | References |
|---|---|---|---|---|---|
| Gold | 18, 35, 65 nm | Ethanediamine, glucosamine, hydroxypropylamine, taurine, linear PEG | Primary human dermal microvascular endothelial cells | Ethanediamine>the rest decorations | Freese et al., |
| Gold | 33 × 30 nm, 55 × 14 nm | Poly(diallyldimethyl ammonium chloride) (50 mV), CTAB (40 mV), polystyrene sulfonate (−40 mV) | MCF-7 | Poly(diallyldimethyl ammonium chloride)>CTAB>polystyrene sulfonate | Qiu et al., 2010 |
| Gold | 40, 80 nm | Polyethyleneimine (63.1 mV), lipoic acid (−73.3 mV) | HUVECs | Polyethyleneimine>lipoic acid | Chandran et al., |
| Gold | 10, 20, 40 nm | Cysteamine (26.33 to 47.12 mV), citrate (-29.28 to −38.4 mV), cysteine (0.13 to −0.92 mV) | Monocytes and macrophages | Cysteamine>(citrate, cysteine) | Oh and Park, 2014 |
| Gold | 15, 45 nm | Poly(allyamine hydrochloride) (20.9, 30.1 mV), PEG (−2.1, −1.0 mV) | SK-BR-3 breast cancer cells | Poly(allyamine hydrochloride)>PEG | Cho et al., |
| Gold | 20 nm | Poly(allylamine hydrochloride) (PAH, 16.6 mV), 1-palmitoyl-2-oleoyl-sn-glycero-3-phospho-L-serine/1-palmitoyl-2-hydroxy-sn-glycero-3-phosphocholine (L-PAH 48.7 mV, HL −51.9 mV) | Human dermal fibroblast cells | PAH>(L-PAH, HL) | Yang et al., 2014 |
| Gold | 6 nm | Lipoic acid and derivatives (−40 mV to 60 mV) | HeLa, HEK293, and A549 | Positively correlated with positive charge density | Su et al., 2012; Sun et al., 2018 |
| Gold | 6 nm | Derivatives of lipoic acid (zeta potential: −5 mV to −20 mV, LogP: −2.7 to 2.4) | HEK293, A549, THP-1 | Hydrophobic GNP>hydrophilic GNP | Li et al., 2015a; Sun et al., 2018 |
| TiO2 | 50–65 × 8 nm | NH2 (35.2 mV), COOH (-20.9 mV) | Rat bone marrow mesenchymal stem cells | NH2 >COOH | Shrestha et al., 2016 |
| TiO2 | 300 nm | PEG, pristine | A549, H1299 | Pristine>PEG | Tedja et al., 2012 |
| TiO2 | length: 50–65 nm, width: 8 nm | PEG (−25.8 mV), NH2 (35.2 mV), COOH (−20.9 mV) | Rat bone marrow mesenchymal stem cells | (NH2, COOH)>PEG | Shrestha et al., 2016 |
| ZnO | 15 nm | 1,2-dioleoyl-sn-glycero-3- phosphocholine) (DOPC), NH2 | HeLa | DOPC>NH2 | Dumontel et al., |
| ZnO | 10–30 nm | 3- aminopropyltrimethoxysilane (APTES), pristine | HepG2 | 3- aminopropyltrimethoxysilane (APTES)>pristine | Bartczak et al., |
| ZnO | 39 nm | APTES (40 mV), pristine (30 mV) | THP-1 and differentiated THP-1 cells | APTES = pristine | Luo et al., 2014 |
| ZnO | 39 nm | PEG (10 mV), 3-aminopropyltriethoxysilane (APTES, 40 mV) | THP-1, differentiated THP-1 | APTES>PEG | Luo et al., 2014 |
| Silica | 20, 30, 50, 80 nm | Amine, L-Ser, pristine | A549 | Amine>(L-Ser, pristine) | Ojea-Jiménez et al., 2016 |
| Silica | 50 nm | NH2 (25 mV), COOH (−42 mV) | RAW264.7 | NH2 = COOH | Kurtz-Chalot et al., 2017 |
| Silica | 50 nm | PEG (−29 mV), COOH (−42 mV), NH2 (25 mV) | RAW264.7 | (COOH, NH2)>PEG | Kurtz-Chalot et al., 2017 |
| Iron oxide | 20 nm | PEG (−29.74 mV) | HUVECs, macrophages | Inhibited cellular uptake | Orlando et al., 2015 |
| Iron oxide | 150 nm | Carboxymethyl dextran (CMX, −11.6 mV), PEG (−10.6 mV) | Microglia, astrocytes, oligodendrocyte precursor cells, neural stem cells | CMX>PEG | Jenkins et al., |
| SWCNTs | Length: 240 nm | NH2 (52.8 mV), COOH (−66.8 mV) | HeLa | NH2 >COOH | Budhathoki-Uprety et al., |
| MWCNTs | Diameter: 10–20 nm, length: 5–15 μm | COOH (−31.93 mV), pristine (−14.97 mV) | RAW264.7 | COOH>pristine | Zhang T. et al., 2019 |
| MWCNTs | Diameter: 10–20 nm, length: 5–15 μm | PEG (−15.6 mV), pristine (−14.97 mV) | RAW264.7 | Pristine>PEG | Zhang T. et al., 2019 |
| Cellulose | 10–20 × 120–300 nm | Rhodamine B isothiocyanate (RBITC, 8.7 mV), FITC (−46.4 mV) | HEK293 | RBITC>FITC | Mahmoud et al., 2010 |
| Polymer | <100 nm | Poly[2-(diisopropylamino)ethyl methacrylate], PEO | Telo-RF | Poly[2-(diisopropylamino)ethyl methacrylate]>PEO | De Castro et al., |
| PLGA | 170 nm | PEI (40 mV), BSA (−20 mV) | Human endothelial cells (CRL-1730) | PEI>BSA | Yu et al., 2012 |
| Polystyrene | 100 nm | NH2 (56 mV), COOH (−46 mV) | THP-1 | NH2 = COOH | Lunov et al., 2011 |
| QDs | 6 nm | Lipoic acid (−15 mV) and derivatives (zwitterionic −5 mV, cationic 20 mV) | HeLa | (Cationic, anionic)>zwitterionic | Park et al., 2011 |
Cellular uptake regulated by NPs' surface chemistry.
Surface Charge
The surface charge of GNPs can tune the cellular uptake level. In primary human dermal microvascular endothelial cells, positively charged ethanediamine-decorated GNPs (18, 35, and 65 nm) were internalized to a greater extent than were neutral or negatively charged GNPs (Freese et al., ). In another study, the zeta potential of poly(diallyldimethyl ammonium chloride) (PDDAC), CTAB, and polystyrene sulfonate (PSS)-decorated gold nanorods (GNRs) (33 × 30 and 55 × 14 nm) in aqueous solutions was found to decrease from ~50 to −40 mV, and the cellular uptake level by these GNRs in MCF-7 cells decreased with the decrease in zeta potential (Qiu et al., 2010). Positively charged branched polyethyleneimine-decorated GNPs (40, 80 nm) were more likely than negatively charged lipoic acid-GNPs to be endocytosed by HUVECs (Chandran et al., ). In monocytes and macrophages, positively charged cysteamine-GNPs (10, 20, and 40 nm) were internalized at a higher level than were negatively charged or zwitterionic GNPs (Oh and Park, 2014). More GNPs (15 and 45 nm) decorated with positively charged poly(allyamine hydrochloride) than neutral GNPs were internalized in SK-BR-3 breast cancer cells (Cho et al., ). More cationic poly(allylamine hydrochloride)-coated GNPs (20 nm) than anionic GNPs underwent endocytosis in human dermal fibroblast cells (Yang et al., 2014). A library of GNPs (6 nm) with continuously changing positive charge/negative charge density was constructed by varying the ratio of positively/negatively charged ligands to neutrally charged ligands. In HeLa, HEK293, and A549 cells, Su et al. (2012)and Sun et al. (2018) found that the level of GNP endocytosis was positively correlated with a positive charge density, while negative charge density had no significant influence on cellular uptake (Figure 2). Therefore, in multiple immune and non-immune cells, positively charged GNPs are more prone to endocytosis than are neutral and negatively charged GNPs.
Figure 2
In addition to the cellular uptake level, the surface charge can also tune the endocytosis pathway of GNPs. For example, in HeLa cells, positively charged GNPs (2, 4, and 6 nm) were endocytosed through multiple pathways, including the clathrin- and caveolae/lipid raft-dependent pathways. Zwitterionic GNPs (2 and 4 nm) were prone to entering cells through membrane fusion, and zwitterionic GNPs (6 nm) were endocytosed through the caveolae/lipid raft-mediated pathway. Negatively charged GNPs (2 and 4 nm) displayed a similar endocytosis pathway to that of positively charged GNPs, while negatively charged GNPs (6 nm) were internalized through the caveolae/lipid raft-mediated pathway (Figure 3) (Jiang et al., ). GNRs (aspect ratio = 3) exhibited different endocytosis mechanisms in HaCaT cells on the basis of their decoration with positively or negatively charged ligands. Positively charged peptide-GNRs were internalized mainly through macropinocytosis and clathrin-mediated endocytosis, while negatively charged COOH-GNRs were endocytosed through macropinocytosis and caveolae-related mechanisms (Untener et al., 2013).
Figure 3
The surface charge of oxide NPs can impact the level of their cellular uptake. For example, positively charged NH2-TiO2 NRs (50–65 × 8 nm) were endocytosed by rat bone marrow mesenchymal stem cells at a much higher level than were negatively charged COOH-TiO2 NRs (Shrestha et al., 2016). ZnO NPs (15 nm) decorated with both (1,2-dioleoyl-sn-glycero-3-phosphocholine) (DOPC) and amine-propyl chains exhibited a positive charge in water. However, DOPC-ZnO NPs were internalized at a significantly higher level than were NH2-ZnO NPs in HeLa cells, a distinction that may be due to the difference in positive charge (Dumontel et al.,
In addition to the uptake level, the surface charge of oxide NPs can also modulate the uptake pathway. For example, an enhanced carboxyl group ratio on iron oxide NPs (33–45 nm) led to an increase in the negative charge density. In CaCo-2 cells, iron oxide NPs with a lower negative charge density were prone to internalization through a macropinocytosis mechanism, while iron oxide NPs with a higher negative charge density tended to be endocytosed through clathrin- and caveolae-dependent pathways (Ayala et al.,
The surface charge can tune the cellular uptake level and pathway of carbon-based NPs. Positively charged amine-SWCNTs (mean length of 240 nm) were internalized at a higher level than were negatively charged carboxy-SWCNTs (mean length of 177 nm) in HeLa cells cultured in complete media. The absence of serum in the medium did not affect the uptake of positively charged amine-SWCNTs; however, the absence of serum significantly enhanced the internalization of negatively charged carboxy-SWCNTs in HeLa cells (Budhathoki-Uprety et al.,
For polymer NPs, the surface charge can also affect cellular uptake. Cellulose nanocrystal (CNC) is a novel material applied in regenerative medicine and drug delivery. CNCs (10–20 × 120–300 nm) with a positive surface charge were significantly endocytosed by HEK293 cells, while negatively charged CNCs were not significantly internalized by these cells (Mahmoud et al., 2010). NPs decorated with zwitterionic poly[2-(diisopropylamino)ethyl methacrylate] ligands were internalized at a higher level than their neutral counterparts (De Castro et al.,
The surface charges of quantum dots (QDs) can determine the cellular uptake levels and pathways. Positively and negatively charged QDs could be massively endocytosed by HeLa cells, while QDs with zwitterionic surfaces were internalization to a lesser extent. Moreover, positively charged QDs were endocytosed by energy-dependent and energy-independent pathways, while negatively charged QDs were only endocytosed by energy-dependent pathways (Park et al., 2011). Cationic CdSe/ZnS QDs (4–5 nm) induced clathrin-mediated endocytosis in HeLa cells, while zwitterionic–lipophilic QDs mainly interacted with lipid rafts in the cell membrane, which led to lipid raft-mediated endocytosis (Chakraborty and Jana,
Hydrophobicity
The hydrophobicity of GNPs can tune the cellular uptake level. By varying the ratio of hydrophobic ligands to hydrophilic ligands on the NP surface, a GNP library (6 nm) with continuously changing hydrophobicity was synthesized. In HEK293, A549, and THP-1 cells, the cellular uptake levels were found to be positively correlated with the hydrophobicity of the GNPs (Figure 4) (Li et al., 2015a; Sun et al., 2018).
Figure 4

(A) GNP library with a continuous change in hydrophobicity. (B) Hydrophobicity regulates the cellular uptake level of GNPs in macrophages. Adapted with permission from Li et al. (2015a).
To improve the bioavailability of NPs, PEG has been frequently used to modify the NP surfaces. PEG decorations could enhance NP hydrophilicity, dispersibility, and inhibit opsonization, thus significantly reducing the internalization of various types of NPs. For example, PEG reduced the uptake level of iron oxide NPs (~20 nm) in HUVECs and macrophages, and this PEG decoration-reduced uptake was more noticeable in macrophages than it was in HUVECs (Orlando et al., 2015). In another study, PEG decoration on iron oxide NPs alleviated the internalization in multiple (immune and non-immune) brain cell types, including microglia, astrocytes, oligodendrocyte precursor cells, and neural stem cells (Jenkins et al.,
Combinatorial Surface Modifications
The impact of surface chemistry on cellular uptake was investigated based on a combinatorial MWCNT library. Gao et al. found that modification of COOH-MWCNTs could redirect them from binding to mannose receptors to binding to scavenger receptors (Gao et al.,
Oxidative Stress
Reactive oxygen species (ROS), including , OH., and H2O2, are the derivatives of oxygen in physiological environments. ROS are generated mainly from mitochondria and NADPH oxidase in cells. The electron leakage in the mitochondrial respiratory chain is captured by oxygen, which leads to ROS generation (Murphy, 2009). NADPH oxidase is found in both phagocytic and non-phagocytic cells. Parts of the subunits are located on the cell membrane, and the other parts are located in the cytoplasm under quiescent conditions. Once activated, subunits in the cytoplasm will translocate to the cell membrane, resulting in the assembly of all the subunits (Bedard and Krause,
Intracellular ROS and oxidative stress could be determined by various methods. For example, fluorescent probes, including dichlorodihydrofluorescein and its derivatives, dihydroethidium, MitoSOX™ Red, etc., are the most convenient and widely used methods (Xia et al., 2006; Karlsson et al., 2008; Passagne et al., 2012). According to the hierarchical oxidative stress model, ROS stimulate the production of antioxidases. Therefore, the expression of an antioxidase, such as heme oxygenase-1, could be used to detect oxidative stress (Nel et al., 2006; Yu et al., 2012). Moreover, intracellular ROS induce a decrease in the GSH level and GSH/GSSG ratio, which are also used as oxidative stress markers (Piao et al., 2011; Nguyen et al., 2013). In this section, we summarize recently published literatures related to the regulation of oxidative stress by NPs' surface chemistry (Table 3).
Table 3
| Composition | Size | Surface chemistry/Zeta potential/LogP | Cell line | Oxidative stress level | References |
|---|---|---|---|---|---|
| Gold | 6 nm | Lipoic acid and derivatives (−40 mV to 60 mV) | HEK293, A549 | Positively correlated with positive charge density | Sun et al., 2018 |
| Gold | 55.7 × 13.2 nm | PEI, poly sodium-p-styrene sulfonate (PSS) | A549 | PEI>PSS | Liu et al., 2016 |
| Gold | 6 nm | Derivatives of lipoic acid (zeta potential: −5 mV to −20 mV, LogP: −2.7 to 2.4) | HEK293, A549 | Hydrophobic GNP>hydrophilic GNP | Sun et al., 2018 |
| Gold | 2 nm | Hydrophobic alkyl ends | HeLa | Positively correlated with the length of alkyl | Chompoosor et al., |
| ZnO | 29 nm | Pristine (4.49 mV), oleic acid (10.15 mV), poly(methacrylic acid) (-40.21 mV) | WIL2-NS human 364 lymphoblastoid cells | Pristine>[oleic acid, poly(methacrylic acid)] | Yin et al., 2010 |
| ZnO | 98 nm | 3-Aminopropyl triethoxysilane (APTES, 11.1 mV), pristine (-30.4 mV) | A549, human skin fibroblasts (HSFs) | APTES>pristine | Keleştemur et al., 2017 |
| Iron oxide | 70 nm | Glucose, citric acid | CT26 colorectal cancer cells | Glucose>citric acid | Wydra et al., 2015 |
| TiO2 | 60 × 80 nm | Pristine (21.4 mV), NH2 (35.2 mV), COOH (-20.9 mV) | Rat bone marrow mesenchymal stem cells | (Pristine, NH2)>COOH | Shrestha et al., 2016 |
| Silica | 45 nm | 3-trihydroxysilyl)propylmethyl-phosphonate (THPMP, −52 mV), N-Trimethoxysilylpropyl-N,N,N-trimethylammonium chloride (TMAC, 38.9 mV) | RAW264.7 | THPMP>TMAC | Liu T.-P. et al., 2015 |
| Silica | 50 nm | Hydrophobic linker/ hydrophilic linker (-1.53 mV to −13.6 mV) | RAW264.7 | Hydrophobic linker>hydrophilic linker | Chen et al., |
| MWCNTs | N.A. | COOH, neutral ligand | Macrophage | COOH>neutral ligand | Gao et al., |
| MWCNTs | Diameter: 20–30 nm | COOH, pristine | HUVECs | COOH = pristine | Long et al., 2018 |
| Graphene | <50 nm | Graphene oxide (−8.3 mV), carboxyl grapheme (−55.1 mV) | HepG2 | Graphene oxide = carboxyl grapheme | Lammel et al., 2013 |
| Graphene | 200 nm | PEI (40.4 mV), pristine (−7.36 mV) | macrophage | PEI>pristine | Luo et al., 2015 |
| Nanodiamonds | 5 nm | OH (−12.2 mV), pristine (1 mV) | A549 | OH = pristine | Solarska-Sciuk et al., 2014 |
| Nanodiamonds | 6–7 nm | NH3+ (0.3 mV), COOH (−37.3 mV) | Rat bone mesenchymal stem cells | NH3+ >COOH | Zhang Y. et al., 2019 |
| Nanodiamonds | 50–60 nm | COOH (−25 mV), PVP (−15 mV), OH (−10 mV), imidazolium (IM, 10 mV), tertiary methyl ammonium ethyl methacrylate cation (TMAEA, 20 mV) | HeLa | IM>TMAEA>COOH, PVP, OH) | Vankayala et al., 2014 |
| Polystyrene | 50 nm | NH2 (43 mV), COOH (−46.7 mV), pristine (−50.5 mV) | Human alveolar epithelial type I-like cells (TT1), primary human alveolar macrophages, primary human alveolar type 2 (AT2) cells | NH2 >(COOH, pristine) for the first two cell lines. NH2 = COOH = pristine for the last cell line | Ruenraroengsak and Tetley, 2015 |
| Polystyrene | 60 nm | NH2 (40.3 mV), COOH (−27.6 mV) | RAW264.7 | NH2 >COOH | Xia et al., 2006 |
Oxidative stress regulated by NPs' surface chemistry.
N.A., not available.
Surface Charge
To investigate the impact of surface charge on cellular oxidative stress, we constructed two libraries of GNPs (6 nm) that exhibit continuously changing in positive and negative charges. After exposing GNPs to A549 and HEK293 cells, we found that positive charge density was positively correlated with ROS level, while negative charge density exhibited no impact on intracellular ROS level. Studies on ROS-related mechanisms indicated that the cellular uptake of positively charged GNPs induced cell membrane depolarization and calcium channel opening and ultimately stimulated mitochondria to generate intracellular oxidative stress (Figure 5A) (Sun et al., 2018). In another study, it was also found that positively charged PEI-GNRs (55.7 × 13.2 nm) led to a decrease in intracellular GSH levels and GSH/GSSG ratios in A549 cells, while negatively charged PSS-GNRs exhibited no influence on GSH levels (Liu et al., 2016).
Figure 5

(A) Positively charged GNPs induce cell membrane depolarization and calcium channel opening, and stimulate mitochondria to generate intracellular oxidative stress. (B) Hydrophobic GNPs induce oxidative stress by perturbing NADPH oxidase. Adapted with permission from Sun et al. (2018).
The surface charge of oxide NPs could also regulate the cellular oxidative stress level. For example, positively charged ZnO NPs (29 nm) induced the highest ROS level in WIL2-NS human lymphoblastoid cells, followed by negatively charged oleic acid and poly(methacrylic acid) decorated ZnO NPs (Yin et al., 2010). In A549 cells and human skin fibroblasts (HSFs), it was also determined that positively charged ZnO NPs (98 nm) were more prone to inducing ROS and mitochondria membrane depolarization than were their negatively charged counterparts (Keleştemur et al., 2017). Iron oxide NPs decorated with neutrally charged glucose ligands elicited higher ROS levels in CT26 colorectal cancer cells than did their citrate-decorated counterparts with a negative surface charge (Wydra et al., 2015). In rat bone marrow mesenchymal stem cells, pristine and NH2-TiO2 NRs (60 × 8 nm) induced ROS production, while COOH-TiO2 NRs had no significant impact (Shrestha et al., 2016). Therefore, it seems that the positively charged and neutral oxide NPs described above are more likely to induce ROS than are their negatively charged counterparts. However, in another study, it was found that negatively charged silica NPs induced ROS in RAW264.7 cells, while positively charged silica NPs had no influence on ROS production (Liu T.-P. et al., 2015).
COOH-MWCNTs induced higher ROS levels than neutrally charged MWCNTs induced in macrophages (Gao et al.,
Unmodified PS NPs and PS NPs with amine and carboxyl groups (50 nm) could regulate ROS levels in different cell lines. In human alveolar epithelial type I-like cells (TT1) and primary human alveolar macrophages, amine-PS NPs induced the highest ROS level, followed by unmodified and carboxyl-PS NPs. In primary human alveolar type 2 (AT2) cells, however, these three kinds of decorations elicited similar levels of intracellular ROS (Ruenraroengsak and Tetley, 2015). In another study, it was found that amine-PS NPs (60 nm) elicited mitochondrial ROS production, while carboxyl-PS NPs with the same size had no impact on intracellular ROS levels (Xia et al., 2006).
Hydrophobicity
By varying the ratio of hydrophobic/hydrophilic ligands on the GNP surface, we synthesized a GNP library in which the NPs had continuously changing hydrophobicity. In A549 and HEK293 cells, GNP hydrophobicity was positively correlated with ROS level. Moreover, hydrophobic GNPs were found to elicit the translocation of P47phox subunits to the cell membrane, leading to NADPH oxidase-dependent oxidative stress (Figure 5B) (Sun et al., 2018). In other studies, hydrophobic decorations on NPs were also more likely to elicit ROS production. For example, the length of hydrophobic alkyl ends on positively charged ligands was positively correlated with the ROS level induced by the GNPs (2 nm) in HeLa cells (Chompoosor et al.,
Autophagy
Autophagy is a self-eating process that leads to the degradation of dysfunctional cellular components. Autophagy can be divided into three categories: macroautophagy, microautophagy, and chaperone-mediated autophagy (Levine and Kroemer, 2008; Mizushima et al., 2008). Various approaches can be used to determine autophagy the cell undergoes. For example, TEM can reveal the morphology of autophagic structures (Yu et al., 2014). The conversion of LC3-I to LC3-II is a biomarker of autophagy and is usually determined by Western blotting. Moreover, green fluorescent protein (GFP)-LC3 transfected cell lines can be used for high-throughput screening of autophagy (Wu et al., 2014). A high level of autophagy induced by NPs may lead to autophagy-related cell death or cytotoxicity (Chen et al.,
Table 4
| Composition | Size | Surface chemistry/Zeta potential/LogP | Cell line | Autophagy level | References |
|---|---|---|---|---|---|
| Gold | N.A. | CTAB (40 mV), polystyrene sulfonate (PSS, −60 mV) | HCT116 | CTAB>PSS | Wan et al., 2015 |
| Gold | 55 × 14 nm | CTAB, PSS, poly (diallyldimethylammonium chloride) (PDDAC) | A549, MRC-5 | CTAB>(PSS, PDDAC) | Li et al., 2015b |
| Gold | 10 nm | Hexane | HUVECs | Enhanced autophagy level | Manshian et al., 2014 |
| ZnO | 100, 130 nm | Triethoxycaprylylsilane (hydrophobic, −16.67 mV), pristine (−19.53 mV) | A549-macrophage co-culture | Triethoxycaprylylsilane<pristine | Liu et al., 2019 |
| Graphene | 3.5–5 nm | NH2, COOH | A549 | NH2 >COOH | Xie Y. et al., 2019 |
| Graphene | N.A. | Dodecylamine, sodiumdodecyl sulfate | RAW264.7 | Dodecylamine>sodiumdodecyl sulfate | Park et al., 2015 |
| SWCNTs | N.A. | COOH, PEG | A549 | COOH>PEG | Liu et al., 2011 |
Autophagy regulated by NPs' surface chemistry.
N.A., not available.
Surface Charge
Positively charged CTAB-GNRs could induce ROS and the transformation of LC3-I to LC3-II in HCT116 cells. However, negatively charged PSS decoration did not significantly induce autophagy (Wan et al., 2015). In another study, it was also found that CTAB-GNRs (55 × 14 nm) could induce autophagy, as evidenced by LC3-II conversion and p62 degradation, in A549 and MRC-5 cells. Moreover, the autophagy pathway stimulated by CTAB-GNRs is AKT-mTOR dependent. However, PSS and PDDAC decorations negligibly induced autophagy (Figure 6) (Li et al., 2015b). In addition to GNRs, the surface charge of carbon-based NPs can also tune autophagy levels and stimulate the related pathways. In A549 cells, NH2-graphene quantum dots (GQDs) induced cellular autophagy as evidenced by LC3 fluorescence tracking, LC3-II conversion, and autophagosome accumulation, while COOH-GQDs had no impact of autophagy (Xie Y. et al., 2019). In another study, the autophagy level induced by GO-decorated NPs with neutrally charged ligands was slightly higher than that of the negatively charged decorated NPs in RAW264.7 cells (Park et al., 2015). Therefore, it seems that positively and neutrally charged NPs are more likely to induce autophagy than are negatively charged NPs.
Figure 6

CTAB-GNRs induce autophagy through mTOR-dependent pathway while PSS- and PDDAC-GNRs do not cause an obvious autophagy process. Reproduced with permission from Li et al. (2015b).
Hydrophobicity
Hexane decoration on positively charged GNPs (10 nm) could elicit autophagy in HUVECs, and the number of hydrophobic hexanes in the ligand was positively correlated with the autophagy level (Manshian et al., 2014). However, hydrophobic ZnO NPs (130 nm) elicited lower expression of ATG7 gene than pristine ZnO NPs (100 nm) in A549-macrophage co-culture (Liu et al., 2019). COOH decorated SWCNTs induce autophagy-related cell death in A549 cells, while PEG decoration on SWCNTs could significantly reduce the autophagy level (Liu et al., 2011).
Combinatorial Surface Modifications
We found that the surface modification on MWCNTs could tune autophagy in U87 and HEK293 cells. A total of 84 kinds of surface modification on MWCNTs could tune cell autophagy to various levels. Moreover, MWCNTs with diverse decorations could bind to different cell surface receptors and subsequently induced autophagy by activating diverse intracellular signaling pathways, including mTOR-dependent or -independent pathways (Wu et al., 2014).
Inflammation
NP-induced bioeffects, including the induction of intracellular oxidative stress and the activation of receptors on cell membranes, may subsequently lead to the activation of the MAPK and NF-κB pathways, which results in the release of inflammation-related cytokines. A high level of inflammation could elicit cytotoxicity (Xia et al., 2006; Gao et al.,
Table 5
| Composition | Size | Surface chemistry/Zeta potential/LogP | Cell line/Animal model | Inflammation level | References |
|---|---|---|---|---|---|
| Gold | 50 × 15 nm | PEG-NH2, PEG-OH (−4.5 mV), PEG-COOH (−23.2 mV) | Primary human blood phagocytes | (PEG-OH, PEG-COOH)>PEG-NH2 | Bartneck et al., |
| Gold | 10.4 nm | Methoxypoly-ethylene glycol-graf t-poly(L-lysine) copolymer (MPEG-gPLL, 3.7 mV) | Mice | Induced inflammatory lesions | Bogdanov et al., |
| Gold | 2 nm | Hyamine (LogP of end group: 0.63–5.35) | Splenocytes | Positively correlated with hydrophobicity | Moyano et al., 2012 |
| Gold | 35 × 10 nm | Mercaptohexadecanoic acid (−46.2 mV), PEG (−11.1 mV) | HaCaT | Mercaptohexadecanoic acid > PEG | Grabinski et al., |
| Silica | 50 nm | NH2 (25 mV), COOH (−42 mV), PEG (−29 mV) | RAW264.7 | COOH>(NH2, PEG) | Kurtz-Chalot et al., 2017 |
| TiO2 nanowires | Diameter: 200–400 nm | −1.6 to −15.9 mV | Mice | Positively correlated with zeta potential | Park et al., 2013 |
| ZnO | 100, 130 nm | Triethoxycaprylylsilane (hydrophobic, −16.67 mV), pristine (−19.53 mV) | A549-macrophage co-culture | Triethoxycaprylylsilane<pristine | Liu et al., 2019 |
| Iron oxide | 10 nm | Pristine, PEG | A549 | Pristine>PEG | Griffete et al., |
| Carbon | Diameter: 60–200 | N.A. | IC-21 murine macrophages | Hydrophobic>hydrophilic | Chun et al., |
| MWCNTs | Diameter: 20–30 nm | COOH, pristine | HUVECs | Pristine>COOH | Long et al., 2018 |
| MWCNTs | N.A. | COOH (−13.8 mV), pristine (−9.76 mV) | C57Bl/6 alveolar macrophage | Pristine>COOH | Hamilton et al., |
| MWCNTs | <500 nm | Pristine (−6.8 mV), COOH (−12.2 to −32.2 mV) | Mice | Pristine>COOH | Jain et al., |
| MWCNTs | Diameter: 10–20 nm, length: 5–15 μm | Pristine (−15.5 mV), PEG (−12.8 mV) | Mice | Pristine>PEG | Zhang et al., 2017 |
| Graphene | Thickness: <5 nm, diameter: <2 μm | NH2 (15.5 mV), COOH (−35 mV) | Rats | NH2 >COOH | Lee et al., 2017 |
| Graphene | Lateral dimension of ~100–200 nm | COOH, PEG | Mice | COOH>PEG | Sasidharan et al., 2015 |
| Liposome | 100–150 nm | Cationic, neutral, anionic ligand | Mice | Cationic>(neutral, anionic) | Wei et al., 2015 |
| Lipid | <200 nm | Cationic, anionic ligand | Rats | Cationic>anionic | Gabal et al., |
| Nanogels | 50–60 nm | PEG (-2.46 mV), poly(sulfobetaine) (PSB, −2.01 mV), and poly(carboxybetaine) (PCB, −1.89 mV) | PBMCs | (PSB, PCB)>PEG | Li et al., 2018 |
| Polymer | 160 nm | Polyvinyl acetate (−3 mV) | Mice | Positively correlated with hydrophobicity | Dailey et al., |
| Polymer | 20–25 nm | PEG (1.7 mV, 8.8 mV, 15.4 mV) | Mice | Negatively correlated with PEG length | Ibricevic et al., |
Inflammation regulated by NPs' surface chemistry.
N.A., not available.
Surface Charge
GNRs (50 × 15 nm) decorated with PEG-NH2, PEG-OH, or PEG-COOH were exposed to primary human blood phagocytes, and the release of proinflammatory cytokines was measured. PEG-COOH and PEG-OH could enhance the production of IL-1β and CCL2, while PEG-NH2 did not affect the production of IL-1β or CCL2. PEG-COOH could enhance the production of IL-6, and the remaining decorations exerted no influence on IL-6 production (Bartneck et al.,
Surface decoration on QDs (8–10 nm), namely, negatively charged COOH-PEG or COOH, positively charged NH2-PEG, and neutrally charged HO-PEG and CH3O-PEG, could regulate the mRNA levels of IL-1β, TNF-α, and CCL5 in A549- and THP-1-derived macrophages. In A549 cells, COOH-PEG and COOH decorations enhanced the mRNA levels of IL-1β and CCL5, and COOH-PEG, NH2-PEG, and COOH decorations enhanced the mRNA levels of TNF-α. In macrophages, COOH-PEG, NH2-PEG, HO-PEG, and COOH decorations enhanced the expression of IL-1β; COOH-PEG and COOH decorations enhanced the expression of TNF-α; and COOH-PEG enhanced the expression of CCL5 (Zhang et al., 2013).
A neutral decoration on MWCNTs is more likely to elicit the secretion of proinflammatory cytokines than is a negatively charged decoration. For example, in HUVECs, pristine MWCNTs did not affect the secretion of TNF-α, while COOH-MWCNTs slightly inhibited the release of TNF-α (Long et al., 2018). In another study, pristine MWCNTs elicited higher levels of IL-1β and IL-18 secretion in the C57Bl/6 alveolar macrophage model than did COOH-MWCNTs (Hamilton et al.,
The protein corona could also affect the secretion of proinflammatory cytokines. For example, without BSA or IgG coronas, COOH-MWCNTs induced higher levels of IL-1β and TNF-α release than the pristine MWCNTs in RAW264.7 cells. With BSA coronas, pristine MWCNTs induced higher levels of IL-1β than did COOH-MWCNTs, and both kinds of MWCNTs induced similar levels of TNF-α. With IgG coronas, pristine MWCNTs induced higher levels of TNF-α than did COOH-MWCNTs, and both kinds of MWCNTs induced similar levels of IL-1β (Zhang T. et al., 2019).
Except for these in vitro investigations mentioned above, a series of in vivo experiments were also conducted to investigate the impact of surface charge on inflammation. For example, positively charged GNPs (10.4 ± 2.5 nm) administrated in mice led to inflammatory lesions (Bogdanov et al.,
Hydrophobicity
Hydrophobic NPs are prone to inducing the release of cytokines. For example, in IC-21 murine macrophages, hydrophobic carbon fibers induced higher levels of IL-6 and TNF-α secretion than did hydrophilic carbon fibers (Chun et al.,
In vivo experiments demonstrated that hydrophobic polymeric NPs (160 nm) could elicit inflammation in mice. The hydrophobicity of polymeric NPs was positively correlated with neutrophilia and pro-inflammatory cytokine levels (Dailey et al.,
Combinatorial Surface Modifications
Based on a combinatorial MWCNT library, Gao et al found that surface chemistry on MWCNTs could tune the inflammatory response in vivo and in vitro. The in vivo experiments demonstrated that surface chemistry could regulate the IL-1β and TNF-α levels in the lung and liver. The in vitro experiments indicated that surface chemistry could steer macrophage recognition from the mannose receptor to the scavenger receptor, resulting in the alleviation of the NF-κB pathway and proinflammatory chemokines (Gao et al.,
Apoptosis
Apoptotic pathways could be classified into two types: extrinsic and intrinsic pathways. Extrinsic apoptotic pathways could be triggered through the activation of the death receptor superfamily proteins, including CD95 and tumor necrosis factor receptor I. Intrinsic apoptotic pathways are primarily mediated through the mitochondria or the endoplasmic reticulum (Hengartner,
There are many approaches to determining apoptosis. For example, the expression level of proapoptotic and antiapoptotic genes can be determined by RT-PCR (Cho et al.,
Table 6
| Composition | Size | Surface chemistry/Zeta potential/LogP | Cell line | Apoptosis | References |
|---|---|---|---|---|---|
| Gold | 1.5 nm | Trimethylammoniumethanethiol (TMAT,), mercaptoethanesulfonate (MES), mercaptoethoxyethoxyethanol (MEEE) | HaCaT | (TMAT, MES)>MEEE | Schaeublin et al., 2011 |
| Gold | 1–10 nm | Poly(quaternary ammonium), sodium polyacrylate | Human neutrophils | Sodium polyacrylate> poly(quaternary ammonium) | Durocher et al., |
| Gold | 20–25 nm | Cysteamine conjugated cholic acid (DCaC), dicationic cysteamine conjugated deoxycholic acid (DCaDC), dicationic cysteamine conjugated lithocholic acid (DCaLC) | A549 | DCaLC> DCaDC>DCaC | Muthukumarasamyvel et al., 2017 |
| Gold nanowires | Diameter: 200 nm | NH2 (11.4 mV), COOH (-25.5 mV) | Fibroblast, HeLa | NH2 >COOH | Kuo et al., 2007 |
| Graphene | 3.5–5 nm | OH, COOH, NH2 | A549 | OH>(COOH, NH2) | Xie J. et al., 2019 |
| Graphene | 200 nm | PEI (40.4 mV), pristine (−7.36 mV), BSA (−33.3 mV), PEG (−18.3 mV) | J774A.1 | PEI> the rest | Luo et al., 2015 |
| Polystyene | 110 nm | NH2, COOH | THP-1, differentiated THP-1 | NH2 >COOH | Loos et al., 2014 |
| Polystyene | 60 nm | NH2 (40.3 mV), COOH (−27.6 mV) | RAW264.7 | NH2 >COOH | Xia et al., 2006 |
| Polystyene | 200 nm | NH2, PEG-NH2 | RAW264.7 | NH2 >PEG-NH2 | Lee K. et al., 2011 |
Apoptosis regulated by NPs' surface chemistry.
Surface Charge
Positively and negatively charged GNPs (1.5 nm) increased the expression of caspase-3 and led to the apoptosis of HaCaT cells, while neutrally charged GNPs induced necrosis instead of apoptosis (Schaeublin et al., 2011). In another study, negatively charged GNPs (1–10 nm) induced apoptosis in freshly isolated human neutrophils, while positively charged GNPs did not elicit apoptosis (Durocher et al.,
GQDs (3.5–5 nm) with different surface charges can tune apoptosis in A549 cells. Neutrally charged OH-GQDs induced higher levels of apoptosis than did either negatively charged COOH-GQDs or positively charged NH2-GQDs (Xie Y. et al., 2019). In J774A.1 macrophages, positively charged PEI-GO NPs induced the highest level of apoptosis, followed by pristine, BSA, and PEG decorated GO NPs, which all had a negative zeta potential (Figure 7) (Luo et al., 2015).
Figure 7

After being phagocytized, PEI-GO was more apt to interact with mitochondria and activate the apoptotic pathway. Reproduced with permission from Luo et al. (2015).
In THP-1 and differentiated THP-1 cells, positively charged NH2-PS NPs (110 nm) induced apoptosis, while negatively charged COOH-PS NPs did not induce apoptosis (Loos et al., 2014). In RAW264.7 macrophages, NH2-PS NPs (60 nm) was found to elicit apoptosis, but not COOH-PS NPs (Xia et al., 2006). Therefore, on PS NPs, positively charged decorations are more likely to induce apoptosis than are negatively charged decorations.
Hydrophobicity
The hydrophobicity of GNPs (20–25 nm) could regulate apoptosis in A549 cells, with hydrophobic GNPs inducing higher levels of apoptosis than induced by hydrophilic GNPs (Muthukumarasamyvel et al., 2017). The apoptosis levels in RAW264.7 cells induced by NH2- and PEG-NH2-PS NPs (200 nm) were compared. PEG decoration significantly reduced apoptosis levels compared to those of NH2-PS NPs (200 nm) in the RAW264.7 cells (Lee K. et al., 2011). However, in vivo experiments demonstrated that PEG-decorated NPs could also induce apoptosis. For example, PEG- GNPs (4, 100 nm) induced apoptosis in liver tissue after intravenous administration to BALB/c mice (Cho et al.,
Summary and Perspective
By summarizing recent literature, we found that the decoration of PEG, ligands of different charge and hydrophobicity, and combinatorial surface decoration could tune various cytotoxicity-related bioeffects. Generally, positively charged and hydrophobic NPs are more likely to be internalized by cells and induce oxidative stress, autophagy, and apoptosis than are negatively charged or hydrophilic NPs, and negatively charged NPs are more likely to adsorb proteins than are positively charged NPs. PEG decoration on NPs can alleviate these cytotoxicity-related bioeffects (Figure 8). Adding combinatorial surface decoration was proven to be an effective strategy to reveal the impact of various types of surface chemistry on bioeffects.
Figure 8

Regulation of cytotoxicity-related bioeffects by surface chemistry.
In addition to the bio-effect levels, molecular pathways can also be regulated by surface chemistry, especially for differently charged, hydrophobic, and combinatorial surface decorations. In our study, we found that oxidative stress induced by positively charged and hydrophobic GNPs is endocytosis-dependent. The endocytosis of positively charged and hydrophobic GNPs elicited oxidative stress through different signaling pathways, including elevated calcium level, activation of mitochondria and NADPH oxidase. Moreover, oxidative stress is considered to be an important upstream mechanism that positively regulate autophagy, inflammation, and apoptosis (Circu and Aw,
For NPs of different compositions, sizes and shapes, the rules by which surface chemistry regulates bioeffects are sometimes inconsistent. Moreover, the surface chemistry modulation of bioeffects sometimes varies by cell line. Therefore, caution should be exercised when extrapolating conclusions obtained from a certain sized, shaped, or composited NP and/or a cell line.
Statements
Author contributions
HS and SZ designed this work of review and revised the manuscript. HS, CJ, LW, and XB performed the literature search of the databases. HS, CJ, LW, XB, and SZ wrote the manuscript. All authors approved the paper for publication.
Funding
This work was supported by the National Natural Science Foundation of China (21677090).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
References
1
AbdelkhaliqA.Van Der ZandeM.PuntA.HelsdingenR.BoerenS.VervoortJ. J. M.et al. (2018). Impact of nanoparticle surface functionalization on the protein corona and cellular adhesion, uptake and transport. J. Nanobiotechnol.16:70. 10.1186/s12951-018-0394-6
2
AlbaneseA.TangP. S.ChanW. C. (2012). The effect of nanoparticle size, shape, and surface chemistry on biological systems. Annu. Rev. Biomed. Eng.14, 1–16. 10.1146/annurev-bioeng-071811-150124
3
ArameshM.ShimoniO.OstrikovK.PrawerS.CervenkaJ. (2015). Surface charge effects in protein adsorption on nanodiamonds. Nanoscale7, 5726–5736. 10.1039/C5NR00250H
4
AsharaniP. V.Low Kah MunG.HandeM. P.ValiyaveettilS. (2009). Cytotoxicity and genotoxicity of silver nanoparticles in human cells. Acs Nano3, 279–290. 10.1021/nn800596w
5
AyalaV.HerreraA. P.Latorre-EstevesM.Torres-LugoM.RinaldiC. (2013). Effect of surface charge on the colloidal stability and in vitro uptake of carboxymethyl dextran-coated iron oxide nanoparticles. J Nanopart. Res.15:1874. 10.1007/s11051-013-1874-0
6
BartczakD.BaradezM. O.Goenaga-InfanteH.MarshallD. (2015). Label-free monitoring of the nanoparticle surface modification effects on cellular uptake, trafficking and toxicity. Toxicol. Res.4, 169–176. 10.1039/C4TX00105B
7
BartneckM.KeulH. A.SinghS.CzajaK.BornemannJ.BockstallerM.et al. (2010). Rapid uptake of gold nanorods by primary human blood phagocytes and immunomodulatory effects of surface chemistry. ACS Nano4, 3073–3086. 10.1021/nn100262h
8
BeckM.MandalT.BuskeC.LindénM. (2017). Serum protein adsorption enhances active leukemia stem cell targeting of mesoporous silica nanoparticles. ACS Appl. Mater. Interfaces9, 18566–18574. 10.1021/acsami.7b04742
9
BedardK.KrauseK. H. (2007). The NOX family of ROS-generating NADPH oxidases: physiology and pathophysiology. Physiol. Rev.87, 245–313. 10.1152/physrev.00044.2005
10
BogdanovA. A.GuptaS.KoshkinaN.CorrS. J.ZhangS.CurleyS. A.et al. (2015). Gold nanoparticles stabilized with MPEG-grafted Poly(l-lysine): in vitro and in vivo evaluation of a potential theranostic agent. Bioconjug. Chem.26, 39–50. 10.1021/bc5005087
11
BraunN. J.DebrosseM. C.HussainS. M.ComfortK. K. (2016). Modification of the protein corona–nanoparticle complex by physiological factors. Mater. Sci. Eng. C64, 34–42. 10.1016/j.msec.2016.03.059
12
Budhathoki-UpretyJ.HarveyJ. D.IsaacE.WilliamsR. M.GalassiT. V.LangenbacherR. E.et al. (2017). Polymer cloaking modulates the carbon nanotube protein corona and delivery into cancer cells. J. Mater. Chem. B5, 6637–6644. 10.1039/C7TB00695K
13
Bystrzejewska-PiotrowskaG.GolimowskiJ.UrbanP. L. (2009). Nanoparticles: their potential toxicity, waste and environmental management. Waste Manage.29, 2587–2595. 10.1016/j.wasman.2009.04.001
14
CedervallT.LynchI.LindmanS.BerggårdT.ThulinE.NilssonH.et al. (2007). Understanding the nanoparticle–protein corona using methods to quantify exchange rates and affinities of proteins for nanoparticles. Proc. Natl. Acad. Sci. U.S.A.104:2050. 10.1073/pnas.0608582104
15
ChakrabortyA.JanaN. R. (2015). Clathrin to lipid raft-endocytosis via controlled surface chemistry and efficient perinuclear targeting of nanoparticle. J. Phys. Chem. Lett.6, 3688–3697. 10.1021/acs.jpclett.5b01739
16
ChandranP.RiviereJ. E.Monteiro-RiviereN. A. (2017). Surface chemistry of gold nanoparticles determines the biocorona composition impacting cellular uptake, toxicity and gene expression profiles in human endothelial cells. Nanotoxicology11, 507–519. 10.1080/17435390.2017.1314036
17
ChenG.RoyI.YangC.PrasadP. N. (2016). Nanochemistry and nanomedicine for nanoparticle-based diagnostics and therapy. Chem. Rev.116, 2826–2885. 10.1021/acs.chemrev.5b00148
18
ChenY.YangL.FengC.WenL.-P. (2005). Nano neodymium oxide induces massive vacuolization and autophagic cell death in non-small cell lung cancer NCI-H460 cells. Biochem. Biophys. Res. Commun.337, 52–60. 10.1016/j.bbrc.2005.09.018
19
ChenY.-P.WuS.-H.ChenI. C.ChenC.-T. (2017). Impacts of cross-linkers on biological effects of mesoporous silica nanoparticles. ACS Appl. Mater. Interfaces9, 10254–10265. 10.1021/acsami.7b00240
20
ChoE. C.AuL.ZhangQ.XiaY. (2010). The effects of size, shape, and surface functional group of gold nanostructures on their adsorption and internalization by cells. Small6, 517–522. 10.1002/smll.200901622
21
ChoW.-S.ChoM.JeongJ.ChoiM.ChoH.-Y.HanB. S.et al. (2009a). Acute toxicity and pharmacokinetics of 13 nm-sized PEG-coated gold nanoparticles. Toxicol. Appl. Pharmacol.236, 16–24. 10.1016/j.taap.2008.12.023
22
ChoW.-S.KimS.HanB. S.SonW. C.JeongJ. (2009b). Comparison of gene expression profiles in mice liver following intravenous injection of 4 and 100nm-sized PEG-coated gold nanoparticles. Toxicol. Lett.191, 96–102. 10.1016/j.toxlet.2009.08.010
23
ChompoosorA.SahaK.GhoshP. S.MacarthyD. J.MirandaO. R.ZhuZ.-J.et al. (2010). the role of surface functionality on acute cytotoxicity, ROS generation and DNA damage by cationic gold nanoparticles. Small6, 2246–2249. 10.1002/smll.201000463
24
ChunY. W.WangW.ChoiJ.NamT.-H.LeeY.-H.ChoK.-K.et al. (2011). Control of macrophage responses on hydrophobic and hydrophilic carbon nanostructures. Carbon49, 2092–2103. 10.1016/j.carbon.2011.01.044
25
CircuM. L.AwT. Y. (2010). Reactive oxygen species, cellular redox systems, and apoptosis. Free Radic. Biol. Med.48, 749–762. 10.1016/j.freeradbiomed.2009.12.022
26
DaileyL. A.Hernández-PrietoR.Casas-FerreiraA. M.JonesM.-C.Riffo-VasquezY.Rodríguez-GonzaloE.et al. (2015). Adenosine monophosphate is elevated in the bronchoalveolar lavage fluid of mice with acute respiratory toxicity induced by nanoparticles with high surface hydrophobicity. Nanotoxicology9, 106–115. 10.3109/17435390.2014.894150
27
De CastroC. E.RibeiroC. A. S.AlavarseA. C.AlbuquerqueL. J. C.Da SilvaM. C. C.JägerE.et al. (2018). Nanoparticle–cell interactions: surface chemistry effects on the cellular uptake of biocompatible block copolymer assemblies. Langmuir34, 2180–2188. 10.1021/acs.langmuir.7b04040
28
De VolderM. F.TawfickS. H.BaughmanR. H.HartA. J. (2013). Carbon nanotubes: present and future commercial applications. Science339:535. 10.1126/science.1222453
29
DengZ. J.LiangM.TothI.MonteiroM.MinchinR. F. (2012). Plasma protein binding of positively and negatively charged polymer-coated gold nanoparticles elicits different biological responses. Nanotoxicology7, 314–322. 10.3109/17435390.2012.655342
30
DumontelB.CantaM.EngelkeH.ChiodoniA.RaccaL.AnconaA.et al. (2017). Enhanced biostability and cellular uptake of zinc oxide nanocrystals shielded with a phospholipid bilayer. J. Mater. Chem. B5, 8799–8813. 10.1039/C7TB02229H
31
DurocherI.NoëlC.LavastreV.GirardD. (2017). Evaluation of the in vitro and in vivo proinflammatory activities of gold (+) and gold (–) nanoparticles. Inflammation Res.66, 981–992. 10.1007/s00011-017-1078-7
32
ElmoreS. (2007). Apoptosis: a review of programmed cell death. Toxicol. Pathol.35, 495–516. 10.1080/01926230701320337
33
FoldbjergR.DangD. A.AutrupH. (2011). Cytotoxicity and genotoxicity of silver nanoparticles in the human lung cancer cell line, A549. Arch. Toxicol.85, 743–750. 10.1007/s00204-010-0545-5
34
FreeseC.GibsonM. I.KlokH.-A.UngerR. E.KirkpatrickC. J. (2012). Size- and coating-dependent uptake of polymer-coated gold nanoparticles in primary human dermal microvascular endothelial cells. Biomacromolecules13, 1533–1543. 10.1021/bm300248u
35
GabalY. M.KamelA. O.SammourO. A.ElshafeeyA. H. (2014). Effect of surface charge on the brain delivery of nanostructured lipid carriers in situ gels via the nasal route. Int. J. Pharmaceut.473, 442–457. 10.1016/j.ijpharm.2014.07.025
36
GaoN.ZhangQ.MuQ.BaiY.LiL.ZhouH.et al. (2011). Steering carbon nanotubes to scavenger receptor recognition by nanotube surface chemistry modification partially alleviates NFκB activation and reduces its immunotoxicity. ACS Nano5, 4581–4591. 10.1021/nn200283g
37
GeC.DuJ.ZhaoL.WangL.LiuY.LiD.et al. (2011). Binding of blood proteins to carbon nanotubes reduces cytotoxicity. Proc. Natl. Acad. Sci. U.S.A.108:16968. 10.1073/pnas.1105270108
38
GrabinskiC.SchaeublinN.WijayaA.D'coutoH.BaxamusaS. H.Hamad-SchifferliK.et al. (2011). Effect of gold nanorod surface chemistry on cellular response. ACS Nano5, 2870–2879. 10.1021/nn103476x
39
GriffeteN.CliftM. J. D.LamouriA.DigigowR. G.MihutA. M.FinkA.et al. (2012). Amino covalent binding approach on iron oxide nanoparticle surface: toward biological applications. Colloids Surf. A Physicochem. Eng. Aspects415, 98–104. 10.1016/j.colsurfa.2012.09.020
40
HamiltonR. F.XiangC.LiM.KaI.YangF.MaD.et al. (2013). Purification and sidewall functionalization of multiwalled carbon nanotubes and resulting bioactivity in two macrophage models. Inhalat. Toxicol.25, 199–210. 10.3109/08958378.2013.775197
41
HengartnerM. O. (2000). The biochemistry of apoptosis. Nature407, 770–776. 10.1038/35037710
42
HillaireauH.CouvreurP. (2009). Nanocarriers' entry into the cell: relevance to drug delivery. Cell. Mol. Life Sci.66, 2873–2896. 10.1007/s00018-009-0053-z
43
HuW.PengC.LvM.LiX.ZhangY.ChenN.et al. (2011). Protein corona-mediated mitigation of cytotoxicity of graphene oxide. ACS Nano5, 3693–3700. 10.1021/nn200021j
44
IbricevicA.GuntsenS. P.ZhangK.ShresthaR.LiuY.SunJ. Y.et al. (2013). PEGylation of cationic, shell-crosslinked-knedel-like nanoparticles modulates inflammation and enhances cellular uptake in the lung. Nanomed. Nanotechnol. Biol. Med.9, 912–922. 10.1016/j.nano.2013.02.006
45
JainS.ThakareV. S.DasM.GoduguC.JainA. K.MathurR.et al. (2011). Toxicity of multiwalled carbon nanotubes with end defects critically depends on their functionalization density. Chem. Res. Toxicol.24, 2028–2039. 10.1021/tx2003728
46
Jedlovszky-HajdúA.BombelliF. B.MonopoliM. P.TombáczE.DawsonK. A. (2012). Surface coatings shape the protein corona of SPIONs with relevance to their application in vivo. Langmuir28, 14983–14991. 10.1021/la302446h
47
JenkinsS. I.WeinbergD.Al-ShakliA. F.FernandesA. R.YiuH. H. P.TellingN. D.et al. (2016). ‘Stealth' nanoparticles evade neural immune cells but also evade major brain cell populations: implications for PEG-based neurotherapeutics. J. Controlled Release224, 136–145. 10.1016/j.jconrel.2016.01.013
48
JiangB.WuQ.DengN.ChenY.ZhangL.LiangZ.et al. (2016). Hydrophilic GO/Fe3O4/Au/PEG nanocomposites for highly selective enrichment of glycopeptides. Nanoscale8, 4894–4897. 10.1039/C5NR08126B
49
JiangY.HuoS.MizuharaT.DasR.LeeY.-W.HouS.et al. (2015). The Interplay of size and surface functionality on the cellular uptake of sub-10 nm gold nanoparticles. ACS Nano9, 9986–9993. 10.1021/acsnano.5b03521
50
JingB.ZhuY. (2011). Disruption of supported lipid bilayers by semihydrophobic nanoparticles. J. Am. Chem. Soc.133, 10983–10989. 10.1021/ja2040305
51
JohnstonB. D.KreylingW. G.PfeifferC.SchäfflerM.SariogluH.RistigS.et al. (2017). Colloidal stability and surface chemistry are key factors for the composition of the protein corona of inorganic gold nanoparticles. Adv. Func. Mater.27:1701956. 10.1002/adfm.201701956
52
KarlssonH. L.CronholmP.GustafssonJ.MöllerL. (2008). Copper oxide nanoparticles are highly toxic: a comparison between metal oxide nanoparticles and carbon nanotubes. Chem. Res. Toxicol.21, 1726–1732. 10.1021/tx800064j
53
KarmaliP. P.SimbergD. (2011). Interactions of nanoparticles with plasma proteins: implication on clearance and toxicity of drug delivery systems. Expert Opin. Drug Deliv.8, 343–357. 10.1517/17425247.2011.554818
54
KeleştemurS.AltunbekM.CulhaM. (2017). Influence of EDC/NHS coupling chemistry on stability and cytotoxicity of ZnO nanoparticles modified with proteins. Appl. Surf. Sci.403, 455–463. 10.1016/j.apsusc.2017.01.235
55
KendallM.HodgesN. J.WhitwellH.TyrrellJ.CangulH. (2015). Nanoparticle growth and surface chemistry changes in cell-conditioned culture medium. Philos. Trans. R. Soc. B Biol. Sci.370:20140100. 10.1098/rstb.2014.0100
56
KimS. T.SahaK.KimC.RotelloV. M. (2013). The role of surface functionality in determining nanoparticle cytotoxicity. Accounts Chem. Res.46, 681–691. 10.1021/ar3000647
57
KleemannE.NeuM.JekelN.FinkL.SchmehlT.GesslerT.et al. (2005). Nano-carriers for DNA delivery to the lung based upon a TAT-derived peptide covalently coupled to PEG–PEI. J. Controlled Release109, 299–316. 10.1016/j.jconrel.2005.09.036
58
KokkinopoulouM.SimonJ.LandfesterK.MailänderV.LieberwirthI. (2017). Visualization of the protein corona: towards a biomolecular understanding of nanoparticle-cell-interactions. Nanoscale9, 8858–8870. 10.1039/C7NR02977B
59
KuoC. W.LaiJ. J.WeiK. H.ChenP. (2007). Studies of surface-modified gold nanowires inside living cells. Adv. Func. Mater.17, 3707–3714. 10.1002/adfm.200601133
60
Kurtz-ChalotA.VilliersC.PourchezJ.BoudardD.MartiniM.MarcheP. N.et al. (2017). Impact of silica nanoparticle surface chemistry on protein corona formation and consequential interactions with biological cells. Mater. Sci. Eng. C75, 16–24. 10.1016/j.msec.2017.02.028
61
LammelT.BoisseauxP.Fernández-CruzM.-L.NavasJ. M. (2013). Internalization and cytotoxicity of graphene oxide and carboxyl graphene nanoplatelets in the human hepatocellular carcinoma cell line Hep G2. Particle Fibre Toxicol.10:27. 10.1186/1743-8977-10-27
62
LaneL. A.QianX.NieS. (2015). SERS nanoparticles in medicine: from label-free detection to spectroscopic tagging. Chem. Rev.115, 10489–10529. 10.1021/acs.chemrev.5b00265
63
LarsonT. A.JoshiP. P.SokolovK. (2012). Preventing protein adsorption and macrophage uptake of gold nanoparticles via a hydrophobic shield. ACS Nano6, 9182–9190. 10.1021/nn3035155
64
LeeJ.GiordanoS.ZhangJ. (2011). Autophagy, mitochondria and oxidative stress: cross-talk and redox signalling. Biochem. J.441, 523–540. 10.1042/BJ20111451
65
LeeJ. K.JeongA. Y.BaeJ.SeokJ. H.YangJ.-Y.RohH. S.et al. (2017). The role of surface functionalization on the pulmonary inflammogenicity and translocation into mediastinal lymph nodes of graphene nanoplatelets in rats. Arch. Toxicol.91, 667–676. 10.1007/s00204-016-1706-y
66
LeeK.LeeH.LeeK. W.ParkT. G. (2011). Optical imaging of intracellular reactive oxygen species for the assessment of the cytotoxicity of nanoparticles. Biomaterials32, 2556–2565. 10.1016/j.biomaterials.2010.11.072
67
LeroueilP. R.BerryS. A.DuthieK.HanG.RotelloV. M.McnernyD. Q.et al. (2008). Wide varieties of cationic nanoparticles induce defects in supported lipid bilayers. Nano Lett.8, 420–424. 10.1021/nl0722929
68
LesniakA.SalvatiA.Santos-MartinezM. J.RadomskiM. W.DawsonK. A.ÅbergC. (2013). Nanoparticle adhesion to the cell membrane and its effect on nanoparticle uptake efficiency. J. Am. Chem. Soc.135, 1438–1444. 10.1021/ja309812z
69
LevineB.KroemerG. (2008). Autophagy in the pathogenesis of disease. Cell132, 27–42. 10.1016/j.cell.2007.12.018
70
LiB.XieJ.YuanZ.JainP.LinX.WuK.et al. (2018). Mitigation of inflammatory immune responses with hydrophilic nanoparticles. Angew. Chem.130, 4617–4621. 10.1002/ange.201710068
71
LiS.ZhaiS.LiuY.ZhouH.WuJ.JiaoQ.et al. (2015a). Experimental modulation and computational model of nano-hydrophobicity. Biomaterials52, 312–317. 10.1016/j.biomaterials.2015.02.043
72
LiS.ZhangC.CaoW.MaB.MaX.JinS.et al. (2015b). Anchoring effects of surface chemistry on gold nanorods: modulating autophagy. J. Mater. Chem. B3, 3324–3330. 10.1039/C5TB00076A
73
LiZ.GanQ.ZhangW.ZhangJ.YuanY.LiuC. (2013). Surface-induced conformational and functional changes of bone morphogenetic protein-2 adsorbed onto single-walled carbon nanotubes. Biochem. Biophys. Res. Commun.440, 215–221. 10.1016/j.bbrc.2013.09.036
74
LimB.JiangM.TaoJ.CamargoP. H. C.ZhuY.XiaY. (2009). Shape-controlled synthesis of Pd nanocrystals in aqueous solutions. Adv. Func. Mater.19, 189–200. 10.1002/adfm.200801439
75
LinJ.ZhangH.ChenZ.ZhengY. (2010). Penetration of Lipid Membranes by Gold Nanoparticles: Insights into Cellular Uptake, Cytotoxicity, and Their Relationship. Acs Nano4, 5421–5429. 10.1021/nn1010792
76
LiuH. L.ZhangY. L.YangN.ZhangY. X.LiuX. Q.LiC. G.et al. (2011). A functionalized single-walled carbon nanotube-induced autophagic cell death in human lung cells through Akt–TSC2-mTOR signaling. Cell Death Dis.2, e159–e159. 10.1038/cddis.2011.27
77
LiuT.LiangH.LiuL.GongY.DingY.LiaoG.et al. (2019). Influence of pristine and hydrophobic ZnO nanoparticles on cytotoxicity and endoplasmic reticulum (ER) stress-autophagy-apoptosis gene expression in A549-macrophage co-culture. Ecotoxicol. Environ. Saf.167, 188–195. 10.1016/j.ecoenv.2018.10.018
78
LiuT.-P.WuS.-H.ChenY.-P.ChouC.-M.ChenC.-T. (2015). Biosafety evaluations of well-dispersed mesoporous silica nanoparticles: towards in vivo-relevant conditions. Nanoscale7, 6471–6480. 10.1039/C4NR07421A
79
LiuY.WinklerD. A.EpaV. C.ZhangB.YanB. (2015). Probing enzyme-nanoparticle interactions using combinatorial gold nanoparticle libraries. Nano Res.8, 1293–1308. 10.1007/s12274-014-0618-5
80
LiuZ.WangL.ZhangL.WuX.NieG.ChenC.et al. (2016). Metabolic characteristics of 16HBE and A549 cells exposed to different surface modified gold nanorods. Adv. Healthcare Mater.5, 2363–2375. 10.1002/adhm.201600164
81
LongJ.LiX.KangY.DingY.GuZ.CaoY. (2018). Internalization, cytotoxicity, oxidative stress and inflammation of multi-walled carbon nanotubes in human endothelial cells: influence of pre-incubation with bovine serum albumin. RSC Adv.8, 9253–9260. 10.1039/C8RA00445E
82
LoosC.SyrovetsT.MusyanovychA.MailänderV.LandfesterK.NienhausG. U.et al. (2014). Functionalized polystyrene nanoparticles as a platform for studying bio–nano interactions. Beilstein J Nanotechnol.5, 2403–2412. 10.3762/bjnano.5.250
83
LundqvistM.StiglerJ.EliaG.LynchI.CedervallT.DawsonK. A. (2008). Nanoparticle size and surface properties determine the protein corona with possible implications for biological impacts. Proc. Natl. Acad. Sci. U.S.A.105, 14265. 10.1073/pnas.0805135105
84
LunovO.SyrovetsT.LoosC.BeilJ.DelacherM.TronK.et al. (2011). Differential uptake of functionalized polystyrene nanoparticles by human macrophages and a monocytic cell line. ACS Nano5, 1657–1669. 10.1021/nn2000756
85
LuoM.ShenC.FeltisB. N.MartinL. L.HughesA. E.WrightP. F.et al. (2014). Reducing ZnO nanoparticle cytotoxicity by surface modification. Nanoscale6, 5791–5798. 10.1039/C4NR00458B
86
LuoN.NiD.YueH.WeiW.MaG. (2015). Surface-engineered graphene navigate divergent biological outcomes toward macrophages. ACS Appl. Mater. Interfaces7, 5239–5247. 10.1021/am5084607
87
MahmoudK. A.MenaJ. A.MaleK. B.HrapovicS.KamenA.LuongJ. H. (2010). Effect of surface charge on the cellular uptake and cytotoxicity of fluorescent labeled cellulose nanocrystals. ACS Appl. Mater. Interfaces2, 2924–2932. 10.1021/am1006222
88
MahmoudiM.LynchI.EjtehadiM. R.MonopoliM. P.BombelliF. B.LaurentS. (2011). Protein-nanoparticle interactions: opportunities and challenges. Chem. Rev.111, 5610–5637. 10.1021/cr100440g
89
ManshianB. B.MoyanoD. F.CorthoutN.MunckS.HimmelreichU.RotelloV. M.et al. (2014). High-content imaging and gene expression analysis to study cell–nanomaterial interactions: the effect of surface hydrophobicity. Biomaterials35, 9941–9950. 10.1016/j.biomaterials.2014.08.031
90
MekseriwattanaW.SrisukS.KriangsaksriR.NiamsiriN.PrapainopK. (2019). The impact of serum proteins and surface chemistry on magnetic nanoparticle colloidal stability and cellular uptake in breast cancer cells. AAPS PharmSciTech20:55. 10.1208/s12249-018-1275-x
91
MizushimaN.LevineB.CuervoA. M.KlionskyD. J. (2008). Autophagy fights disease through cellular self-digestion. Nature451, 1069–1075. 10.1038/nature06639
92
MonopoliM. P.AbergC.SalvatiA.DawsonK.A. (2012). Biomolecular coronas provide the biological identity of nanosized materials. Nature Nanotechnol.7:779. 10.1038/nnano.2012.207
93
MortensenN. P.HurstG. B.WangW.FosterC. M.NallathambyP. D.RettererS. T. (2013). Dynamic development of the protein corona on silica nanoparticles: composition and role in toxicity. Nanoscale5, 6372–6380. 10.1039/c3nr33280b
94
MoyanoD. F.GoldsmithM.SolfiellD. J.Landesman-MiloD.MirandaO. R.PeerD.et al. (2012). Nanoparticle hydrophobicity dictates immune response. J. Am. Chem. Soc.134, 3965–3967. 10.1021/ja2108905
95
MurphyM. P. (2009). How mitochondria produce reactive oxygen species. Biochem. J.417:1. 10.1042/BJ20081386
96
MuthukumarasamyvelT.RajendranG.Santhana PanneerD.KasthuriJ.KathiravanK.RajendiranN. (2017). Role of surface hydrophobicity of dicationic amphiphile-stabilized gold nanoparticles on A549 lung cancer cells. ACS Omega2, 3527–3538. 10.1021/acsomega.7b00353
97
NamJ.WonN.BangJ.JinH.ParkJ.JungS.et al. (2013). Surface engineering of inorganic nanoparticles for imaging and therapy. Adv. Drug Deliv. Rev.65, 622–648. 10.1016/j.addr.2012.08.015
98
NelA.XiaT.MädlerL.LiN. (2006). Toxic potential of materials at the nanolevel. Science311, 622–627. 10.1126/science.1114397
99
NguyenK. C.WillmoreW. G.TayabaliA. F. (2013). Cadmium telluride quantum dots cause oxidative stress leading to extrinsic and intrinsic apoptosis in hepatocellular carcinoma HepG2 cells. Toxicology306:114–123. 10.1016/j.tox.2013.02.010
100
NikoobakhtB.El-SayedM. A. (2003). Preparation and growth mechanism of gold nanorods (NRs) using seed-mediated growth method. Chem. Mater.15, 1957–1962. 10.1021/cm020732l
101
OhN.ParkJ.-H. (2014). Surface chemistry of gold nanoparticles mediates their exocytosis in macrophages. ACS Nano8, 6232–6241. 10.1021/nn501668a
102
Ojea-JiménezI.UrbánP.BarahonaF.PedroniM.CapomaccioR.CecconeG.et al. (2016). Highly flexible platform for tuning surface properties of silica nanoparticles and monitoring their biological interaction. ACS Appl. Mater. Interfaces8, 4838–4850. 10.1021/acsami.5b11216
103
OrlandoA.ColomboM.ProsperiD.GregoriM.PanaritiA.RivoltaI.et al. (2015). Iron oxide nanoparticles surface coating and cell uptake affect biocompatibility and inflammatory responses of endothelial cells and macrophages. J. Nanopart. Res.17:351. 10.1007/s11051-015-3148-5
104
PangC.BrunelliA.ZhuC.HristozovD.LiuY.SemenzinE.et al. (2016). Demonstrating approaches to chemically modify the surface of Ag nanoparticles in order to influence their cytotoxicity and biodistribution after single dose acute intravenous administration. Nanotoxicology10, 129–139. 10.3109/17435390.2015.1024295
105
ParkC. S.ChoiK. S.ParkI. W.JungJ. W.ChoiJ. C.KimJ. Y.et al. (2015). Autophagy in RAW264.7 cells treated with surface-functionalized graphene oxides. J. Nanomater.2015, 1–8. 10.1155/2015/704789
106
ParkE.-J.ShimH.-W.LeeG.-H.KimJ.-H.KimD.-W. (2013). Comparison of toxicity between the different-type TiO2 nanowires in vivo and in vitro. Arch. Toxicol.87, 1219–1230. 10.1007/s00204-013-1019-3
107
ParkJ.NamJ.WonN.JinH.JungS.JungS.et al. (2011). Compact and stable quantum dots with positive, negative, or zwitterionic surface: specific cell interactions and non-specific adsorptions by the surface charges. Adv. Func. Mater.21, 1558–1566. 10.1002/adfm.201001924
108
PassagneI.MorilleM.RoussetM.PujaltéI.L'azouB. (2012). Implication of oxidative stress in size-dependent toxicity of silica nanoparticles in kidney cells. Toxicology299, 112–124. 10.1016/j.tox.2012.05.010
109
PengL.HuL.FangX. (2014). Energy harvesting for nanostructured self-powered photodetectors. Adv. Func. Mater.24, 2591–2610. 10.1002/adfm.201303367
110
PiaoM. J.KangK. A.LeeI. K.KimH. S.KimS.ChoiJ. Y.et al. (2011). Silver nanoparticles induce oxidative cell damage in human liver cells through inhibition of reduced glutathione and induction of mitochondria-involved apoptosis. Toxicol. Lett.201, 92–100. 10.1016/j.toxlet.2010.12.010
111
QiuY.LiuY.WangL.XuL.BaiR.JiY.et al. (2010). Surface chemistry and aspect ratio mediated cellular uptake of Au nanorods. Biomaterials31, 7606–7619. 10.1016/j.biomaterials.2010.06.051
112
ReuterS.GuptaS. C.ChaturvediM. M.AggarwalB. B. (2010). Oxidative stress, inflammation, and cancer: how are they linked?Free Radic. Biol. Med.49, 1603–1616. 10.1016/j.freeradbiomed.2010.09.006
113
RuenraroengsakP.TetleyT. D. (2015). Differential bioreactivity of neutral, cationic and anionic polystyrene nanoparticles with cells from the human alveolar compartment: robust response of alveolar type 1 epithelial cells. Particle Fibre Toxicol.12:19. 10.1186/s12989-015-0091-7
114
SahaK.KimS. T.YanB.MirandaO. R.AlfonsoF. S.ShlosmanD.et al. (2013). Surface functionality of nanoparticles determines cellular uptake mechanisms in mammalian cells. Small9, 300–305. 10.1002/smll.201201129
115
SahayG.AlakhovaD. Y.KabanovA. V. (2010). Endocytosis of nanomedicines. J. Controlled Release145, 182–195. 10.1016/j.jconrel.2010.01.036
116
SasidharanA.SwaroopS.KoduriC. K.GirishC. M.ChandranP.PanchakarlaL. S.et al. (2015). Comparative in vivo toxicity, organ biodistribution and immune response of pristine, carboxylated and PEGylated few-layer graphene sheets in Swiss albino mice: a three month study. Carbon95, 511–524. 10.1016/j.carbon.2015.08.074
117
SchaeublinN. M.Braydich-StolleL. K.MaurerE. I.ParkK.MaccuspieR. I.AfroozA. R.et al. (2012). Does shape matter? Bioeffects of gold nanomaterials in a human skin cell model. Langmuir28, 3248–3258. 10.1021/la204081m
118
SchaeublinN. M.Braydich-StolleL. K.SchrandA. M.MillerJ. M.HutchisonJ.SchlagerJ. J.et al. (2011). Surface charge of gold nanoparticles mediates mechanism of toxicity. Nanoscale3, 410–420. 10.1039/c0nr00478b
119
ShengY.YuanY.LiuC.TaoX.ShanX.XuF. (2009). In vitro macrophage uptake and in vivo biodistribution of PLA–PEG nanoparticles loaded with hemoglobin as blood substitutes: effect of PEG content. J. Mater. Sci. Mater. Med.20, 1881–1891. 10.1007/s10856-009-3746-9
120
ShresthaS.MaoZ.FedutikY.GaoC. (2016). Influence of titanium dioxide nanorods with different surface chemistry on the differentiation of rat bone marrow mesenchymal stem cells. J. Mater. Chem. B4, 6955–6966. 10.1039/C6TB02149B
121
SilvestriA.Di SilvioD.LlarenaI.MurrayR. A.MarelliM.LayL.et al. (2017). Influence of surface coating on the intracellular behaviour of gold nanoparticles: a fluorescence correlation spectroscopy study. Nanoscale9, 14730–14739. 10.1039/C7NR04640E
122
Solarska-SciukK.GajewskaA.GlinskaS.MichlewskaS.BalcerzakŁ.JamrozikA.et al. (2014). Effect of functionalized and non-functionalized nanodiamond on the morphology and activities of antioxidant enzymes of lung epithelial cells (A549). Chem. Biol. Interact.222, 135–147. 10.1016/j.cbi.2014.10.003
123
SrivastavaI.MisraS. K.OstadhosseinF.DazaE.SinghJ.PanD. (2017). Surface chemistry of carbon nanoparticles functionally select their uptake in various stages of cancer cells. Nano Res.10, 3269–3284. 10.1007/s12274-017-1518-2
124
StepienG.MorosM.Pérez-HernándezM.MongeM.GutiérrezL.FratilaR. M.et al. (2018). Effect of surface chemistry and associated protein corona on the long-term biodegradation of iron oxide nanoparticles in vivo. ACS Appl. Mater. Interfaces10, 4548–4560. 10.1021/acsami.7b18648
125
SternS. T.AdiseshaiahP. P.CristR. M. (2012). Autophagy and lysosomal dysfunction as emerging mechanisms of nanomaterial toxicity. Particle Fibre Toxicol.9:20. 10.1186/1743-8977-9-20
126
SuG.JiangH.XuB.YuY.ChenX. (2018). Effects of protein corona on active and passive targeting of cyclic RGD peptide-functionalized PEGylation nanoparticles. Mol. Pharmaceut.15, 5019–5030. 10.1021/acs.molpharmaceut.8b00612
127
SuG.ZhouH.MuQ.ZhangY.LiL.JiaoP.et al. (2012). Effective surface charge density determines the electrostatic attraction between nanoparticles and cells. J. Phys. Chem. C116, 4993–4998. 10.1021/jp211041m
128
SuG.ZhouX.ZhouH.LiY.ZhangX.LiuY.et al. (2016). Size-dependent facilitation of cancer cell targeting by proteins adsorbed on nanoparticles. ACS Appl. Mater. Interfaces8, 30037–30047. 10.1021/acsami.6b10967
129
SunH.LiuY.BaiX.ZhouX.ZhouH.LiuS.et al. (2018). Induction of oxidative stress and sensitization of cancer cells to paclitaxel by gold nanoparticles with different charge densities and hydrophobicities. J. Mater. Chem. B6, 1633–1639. 10.1039/C7TB03153J
130
SzegezdiE.LogueS. E.GormanA. M.SamaliA. (2006). Mediators of endoplasmic reticulum stress-induced apoptosis. EMBO Rep.7, 880–885. 10.1038/sj.embor.7400779
131
TedjaR.SoeriyadiA. H.WhittakerM. R.LimM.MarquisC.BoyerC.et al. (2012). Effect of TiO2 nanoparticle surface functionalization on protein adsorption, cellular uptake and cytotoxicity: the attachment of PEG comb polymers using catalytic chain transfer and thiol–ene chemistry. Polymer Chem.3, 2743–2751. 10.1039/c2py20450a
132
UntenerE. A.ComfortK. K.MaurerE. I.GrabinskiC. M.ComfortD. A.HussainS. M. (2013). Tannic acid coated gold nanorods demonstrate a distinctive form of endosomal uptake and unique distribution within cells. ACS Appl. Mater. Interfaces5, 8366–8373. 10.1021/am402848q
133
Van HauteD.LiuA. T.BerlinJ. M. (2018). Coating metal nanoparticle surfaces with small organic molecules can reduce nonspecific cell uptake. ACS Nano12, 117–127. 10.1021/acsnano.7b03025
134
VankayalaR.KalluruP.TsaiH.-H.ChiangC.-S.HwangK. C. (2014). Effects of surface functionality of carbon nanomaterials on short-term cytotoxicity and embryonic development in zebrafish. J. Mater. Chem. B2, 1038–1047. 10.1039/C3TB21497D
135
VermaA.StellacciF. (2010). Effect of surface properties on nanoparticle-cell interactions. Small6, 12–21. 10.1002/smll.200901158
136
WalkeyC. D.OlsenJ. B.GuoH.EmiliA.ChanW. C. (2012). Nanoparticle size and surface chemistry determine serum protein adsorption and macrophage uptake. J. Am. Chem. Soc.134, 2139–2147. 10.1021/ja2084338
137
WanJ.WangJ.-H.LiuT.XieZ.YuX.-F.LiW. (2015). Surface chemistry but not aspect ratio mediates the biological toxicity of gold nanorods in vitro and in vivo. Sci. Rep.5:11398. 10.1038/srep11398
138
WangS.SunH.AngH. M.TadéM. O. (2013). Adsorptive remediation of environmental pollutants using novel graphene-based nanomaterials. Chem. Eng. J.226, 336–347. 10.1016/j.cej.2013.04.070
139
WangZ.WangC.LiuS.HeW.WangL.GanJ.et al. (2017). Specifically formed corona on silica nanoparticles enhances transforming growth factor β1 activity in triggering lung fibrosis. ACS Nano11, 1659–1672. 10.1021/acsnano.6b07461
140
WeiX.ShaoB.HeZ.YeT.LuoM.SangY.et al. (2015). Cationic nanocarriers induce cell necrosis through impairment of Na+/K+-ATPase and cause subsequent inflammatory response. Cell Res.25, 237–253. 10.1038/cr.2015.9
141
WuL.ZhangY.ZhangC.CuiX.ZhaiS.LiuY.et al. (2014). Tuning cell autophagy by diversifying carbon nanotube surface chemistry. ACS Nano8, 2087–2099. 10.1021/nn500376w
142
WydraR. J.RychahouP. G.EversB. M.AndersonK. W.DziublaT. D.HiltJ. Z. (2015). The role of ROS generation from magnetic nanoparticles in an alternating magnetic field on cytotoxicity. Acta Biomater.25, 284–290. 10.1016/j.actbio.2015.06.037
143
XiaT.KovochichM.BrantJ.HotzeM.SempfJ.OberleyT.et al. (2006). Comparison of the abilities of ambient and manufactured nanoparticles to induce cellular toxicity according to an oxidative stress paradigm. Nano Lett.6, 1794–1807. 10.1021/nl061025k
144
XiaT.KovochichM.LiongM.MädlerL.GilbertB.ShiH.et al. (2008). Comparison of the mechanism of toxicity of zinc oxide and cerium oxide nanoparticles based on dissolution and oxidative stress properties. ACS Nano2, 2121–2134. 10.1021/nn800511k
145
XieJ.WangN.DongX.WangC.DuZ.MeiL.et al. (2019). Graphdiyne nanoparticles with high free radical scavenging activity for radiation protection. Acs Appl. Mater. Interfaces11, 2579–2590. 10.1021/acsami.8b00949
146
XieY.WanB.YangY.CuiX.XinY.GuoL.-H. (2019). Cytotoxicity and autophagy induction by graphene quantum dots with different functional groups. J. Environ. Sci.77, 198–209. 10.1016/j.jes.2018.07.014
147
XiongZ.ZhaoL.WangF.ZhuJ.QinH.WuR.et al. (2012). Synthesis of branched PEG brushes hybrid hydrophilic magnetic nanoparticles for the selective enrichment of N-linked glycopeptides. Chem. Commun.48, 8138–8140. 10.1039/c2cc33600f
148
YangJ. A.LohseS. E.MurphyC. J. (2014). Tuning cellular response to nanoparticles via surface chemistry and aggregation. Small10, 1642–1651. 10.1002/smll.201302835
149
YinH.CaseyP. S.MccallM. J.FenechM. (2010). Effects of surface chemistry on cytotoxicity, genotoxicity, and the generation of reactive oxygen species induced by ZnO nanoparticles. Langmuir26, 15399–15408. 10.1021/la101033n
150
YuD.ZhangY.ZhouX.MaoZ.GaoC. (2012). Influence of surface coating of PLGA particles on the internalization and functions of human endothelial cells. Biomacromolecules13, 3272–3282. 10.1021/bm3010484
151
YuY.DuanJ.YuY.LiY.LiuX.ZhouX.et al. (2014). Silica nanoparticles induce autophagy and autophagic cell death in HepG2 cells triggered by reactive oxygen species. J. Hazard. Mater.270, 176–186. 10.1016/j.jhazmat.2014.01.028
152
ZhangT.TangM.YaoY.MaY.PuY. (2019). MWCNT interactions with protein: surface-induced changes in protein adsorption and the impact of protein corona on cellular uptake and cytotoxicity. Int. J. Nanomed.14, 993–1009. 10.2147/IJN.S191689
153
ZhangT.TangM.ZhangS.HuY.LiH.ZhangT.et al. (2017). Systemic and immunotoxicity of pristine and PEGylated multi-walled carbon nanotubes in an intravenous 28 days repeated dose toxicity study. Int. J. Nanomed.12, 1539–1554. 10.2147/IJN.S123345
154
ZhangY.BaiY.JiaJ.GaoN.LiY.ZhangR.et al. (2014). Perturbation of physiological systems by nanoparticles. Chem. Soc. Rev.43, 3762–3809. 10.1039/C3CS60338E
155
ZhangY.KohlerN.ZhangM. (2002). Surface modification of superparamagnetic magnetite nanoparticles and their intracellular uptake. Biomaterials23, 1553–1561. 10.1016/S0142-9612(01)00267-8
156
ZhangY.PanH.ZhangP.GaoN.LinY.LuoZ.et al. (2013). Functionalized quantum dots induce proinflammatory responses in vitro: the role of terminal functional group-associated endocytic pathways. Nanoscale5, 5919–5929. 10.1039/c3nr01653f
157
ZhangY.WangY.LiuA.XuS. L.ZhaoB.ZhangY.et al. (2016). Modulation of carbon nanotubes' perturbation to the metabolic activity of CYP3A4 in the liver. Adv. Func. Mater.26, 841–850. 10.1002/adfm.201504182
158
ZhangY.ZhangW.FedutikY.MaoZ.GaoC. (2019). Nanodiamonds of different surface chemistry influence the toxicity and differentiation of rat bone mesenchymal stem cells in vitro. J. Nanosci. Nanotechnol.19, 5426–5434. 10.1166/jnn.2019.16545
159
ZhouH.JiaoP.YangL.LiX.YanB. (2011). Enhancing cell recognition by scrutinizing cell surfaces with a nanoparticle array. J. Am. Chem. Soc.133, 680–682. 10.1021/ja108527y
160
ZhouH.MuQ.GaoN.LiuA.XingY.GaoS.et al. (2008). A nano-combinatorial library strategy for the discovery of nanotubes with reduced protein-binding, cytotoxicity, and immune response. Nano Lett.8, 859–865. 10.1021/nl0730155
161
ZhuM.NieG.MengH.XiaT.NelA.ZhaoY. (2013). Physicochemical properties determine nanomaterial cellular uptake, transport, and fate. Accounts Chem. Res.46, 622–631. 10.1021/ar300031y
Summary
Keywords
nanoparticles, surface chemistry, charge, hydrophobicity, PEG, cytotoxicity
Citation
Sun H, Jiang C, Wu L, Bai X and Zhai S (2019) Cytotoxicity-Related Bioeffects Induced by Nanoparticles: The Role of Surface Chemistry. Front. Bioeng. Biotechnol. 7:414. doi: 10.3389/fbioe.2019.00414
Received
13 October 2019
Accepted
28 November 2019
Published
12 December 2019
Volume
7 - 2019
Edited by
Gaoxing Su, Nantong University, China
Reviewed by
Liwen Li, Indiana University, United States; Qingxin Mu, University of Washington, United States; Wenting Zhao, Nanyang Technological University, Singapore
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© 2019 Sun, Jiang, Wu, Bai and Zhai.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Shumei Zhai smzhai@sdu.edu.cn
This article was submitted to Nanobiotechnology, a section of the journal Frontiers in Bioengineering and Biotechnology
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