Advancement of biomedical applications of carbonaceous nanomaterials is hampered by their biopersistence and pro-inflammatory action in vivo. Here, we used myeloperoxidase knockout B6.129X1-MPO (MPO k/o) mice and showed that oxidation and clearance of single walled carbon nanotubes (SWCNT) from the lungs of these animals after pharyngeal aspiration was markedly less effective whereas the inflammatory response was more robust than in wild-type C57Bl/6 mice. Our results provide direct evidence for the participation of MPO – one of the key-orchestrators of inflammatory response – in the in vivo pulmonary oxidative biodegradation of SWCNT and suggest new ways to control the biopersistence of nanomaterials through genetic or pharmacological manipulations.
ABSTRACT Tuberculosis (TB), caused by Mycobacterium tuberculosis ( Mtb ), continues to be a major public health problem worldwide. The human immunodeficiency virus (HIV) is another equally important life-threatening pathogen. Further, co-infections with HIV and Mtb have severe effects in the host, with people infected with HIV being fifteen to twenty-one times more likely to develop active TB. The use of an appropriate animal model for HIV/ Mtb co-infection that can recapitulate the diversity of the immune response in humans would be a useful tool for conducting basic and translational research in HIV/ Mtb infections. The present study was focused on developing a humanized mouse model for investigations on HIV- Mtb co-infection. Using NSG-SGM3 mice that can engraft human stem cells, our studies showed that they were able to engraft human CD34+ stem cells which then differentiate into a full-lineage of human immune cell subsets. After co-infection with HIV and Mtb , these mice showed decrease in CD4+ T cell counts overtime and elevated HIV load in the sera, similar to the infection pattern of humans. Additionally, Mtb caused infections in both lungs and spleen, and induced the development of granulomatous lesions in the lungs, detected by CT scan and histopathology. Distinct metabolomic profiles were also observed in the tissues from different mouse groups after co-infections. Our results suggest that the humanized NSG-SGM3 mice are able to recapitulate the effects of HIV and Mtb infections and co-infection in the human host at pathological, immunological and metabolism levels, providing a dependable small animal model for studying HIV/ Mtb co-infection.
Chronic kidney disease (CKD) of uncertain etiology (CKDu) is a global health concern affecting tropical farming communities. CKDu is not associated with typical risk factors (e.g., diabetes) and strongly correlates with environmental drivers. To gain potential insights into disease etiology and diagnosis, here we report the first urinary proteome comparing patients with CKDu and non-CKDu controls from Sri Lanka. We found 944 differentially abundant proteins. In silico analyses identified 636 proteins of likely kidney and urogenital origin. As expected, renal tubular injury in patients with CKDu was evinced by increases in albumin, cystatin C, and β2-microglobulin. However, several proteins typically elevated under CKD, including osteopontin and α-N-acetylglucosaminidase, were decreased in patients with CKDu. Furthermore, urinary excretion of aquaporins found higher in CKD was lower in CKDu. Comparisons with previous CKD urinary proteome datasets revealed a unique proteome for CKDu. Notably, the CKDu urinary proteome was relatively similar to that of patients with mitochondrial diseases. Furthermore, we report a decrease in endocytic receptor proteins responsible for protein reabsorption (megalin and cubilin) that correlated with an increase in abundance of 15 of their cognate ligands. Functional pathway analyses identified kidney-specific differentially abundant proteins in patients with CKDu denoted significant changes in the complement cascade and coagulation systems, cell death, lysosomal function, and metabolic pathways. Overall, our findings provide potential early detection markers to diagnose and distinguish CKDu and warrant further analyses on the role of lysosomal, mitochondrial, and protein reabsorption processes and their link to the complement system and lipid metabolism in CKDu onset and progression.NEW & NOTEWORTHY CKDu is a global health concern debilitating a number of tropical rural farming communities. In the absence of typical risk factors like diabetes and hypertension and the lack of molecular markers, it is crucial to identify potential early disease markers. Here, we detail the first urinary proteome profile to distinguish CKDu from CKD. Our data and in silico pathway analyses infer the roles of mitochondrial, lysosomal, and protein reabsorption processes in disease onset and progression.
We have shown that barium [from BaSO4 nanoparticles (NPs)] was cleared from the lungs faster than other poorly soluble NPs and translocated mostly to bone. We now studied barium biokinetics in rats during Study 1: two-year inhalation exposure to 50 mg/m3 BaSO4 NP aerosols, and Study 2: single intratracheal (IT) instillation of increasing doses of BaSO4 NPs or BaCl2. Study 1 showed that lung barium content measured by inductively coupled plasma mass spectrometry increased during 360 days of BaSO4 NP aerosol exposures. An equilibrium was established from that time until 2 years. Barium concentrations in BaSO4-exposed animals were in the order (lungs > lymph nodes > hard bone > bone marrow > liver). In Study 2, there was an increase in lung barium post-IT instillation of BaSO4 NPs while barium from BaCl2 was mostly cleared by day 28. Transmission electron microscopy showed intact BaSO4 NPs in alveolar macrophages and type II epithelial cells, and in tracheobronchial lymph nodes. Using stimulated Raman scattering microscopy, specific BaSO4 Raman spectra were detected in BaSO4 NP-instilled lungs and not in other organs. Thus, we posit that barium from BaSO4 NPs translocates from the lungs mainly after dissolution. Barium ions are then incorporated mostly into the bone and other organs.
We explored the influence of nanoparticle (NP) surface charge and hydrophobicity on NP–biomolecule interactions by measuring the composition of adsorbed phospholipids on four NPs, namely, positively charged CeO2 and ZnO and negatively charged BaSO4 and silica-coated CeO2, after exposure to bronchoalveolar lavage fluid (BALf) obtained from rats, and to a mixture of neutral dipalmitoyl phosphatidylcholine (DPPC) and negatively charged dipalmitoyl phosphatidic acid (DPPA). The resulting NP–lipid interactions were examined by cryogenic transmission electron microscopy (cryo-TEM) and atomic force microscopy (AFM). Our data show that the amount of adsorbed lipids on NPs after incubation in BALf and the DPPC/DPPA mixture was higher in CeO2 than in the other NPs, qualitatively consistent with their relative hydrophobicity. The relative concentrations of specific adsorbed phospholipids on NP surfaces were different from their relative concentrations in the BALf. Sphingomyelin was not detected in the extracted lipids from the NPs despite its >20% concentration in the BALf. AFM showed that the more hydrophobic CeO2 NPs tended to be located inside lipid vesicles, whereas less hydrophobic BaSO4 NPs appeared to be outside. In addition, cryo-TEM analysis showed that CeO2 NPs were associated with the formation of multilamellar lipid bilayers, whereas BaSO4 NPs with unilamellar lipid bilayers. These data suggest that the NP surface hydrophobicity predominantly controls the amounts and types of lipids adsorbed, as well as the nature of their interaction with phospholipids.
Engineered nanomaterials (ENMs) are increasingly added to foods to improve their quality, sensory appeal, safety and shelf-life. Human exposure to these ingested ENMs (iENMS) is inevitable, yet little is known of their hazards. To assess potential hazards, efficient in vitro methodologies are needed to evaluate particle biokinetics and toxicity. These methodologies must account for interactions and transformations of iENMs in foods (food matrix effect) and in the gastrointestinal tract (GIT) that are likely to determine nano-biointeractions. Here we report the development and application of an integrated methodology consisting of three interconnected stages: 1) assessment of iENM-food interactions (food matrix effect) using model foods; 2) assessment of gastrointestinal transformations of the nano-enabled model foods using a three-stage GIT simulator; 3) assessment of iENMs biokinetics and cellular toxicity after exposure to simulated GIT conditions using a triculture cell model. As a case study, a model food (corn oil-in-water emulsion) was infused with Fe2O3 (Iron(III) oxide or ferric oxide) ENMs and processed using this three-stage integrated platform to study the impact of food matrix and GIT effects on nanoparticle biokinetics and cytotoxicity . A corn oil in phosphate buffer emulsion was prepared using a high speed blender and high pressure homogenizer. Iron oxide ENM was dispersed in water by sonication and combined with the food model. The resulting nano-enabled food was passed through a three stage (mouth, stomach and small intestine) GIT simulator. Size distributions of nano-enabled food model and digestae at each stage were analyzed by DLS and laser diffraction. TEM and confocal imaging were used to assess morphology of digestae at each phase. Dissolution of Fe2O3 ENM along the GIT was assessed by ICP-MS analysis of supernatants and pellets following centrifugation of digestae. An in vitro transwell triculture epithelial model was used to assess biokinetics and toxicity of ingested Fe2O3 ENM. Translocation of Fe2O3 ENM was determined by ICP-MS analysis of cell lysates and basolateral compartment fluid over time. It was demonstrated that the interactions of iENMs with food and GIT components influenced nanoparticle fate and transport, biokinetics and toxicological profile. Large differences in particle size, charge, and morphology were observed in the model food with and without Fe2O3 and among digestae from different stages of the simulated GIT (mouth, stomach, and small intestine). Immunoflorescence and TEM imaging of the cell culture model revealed markers and morphology of small intestinal epithelium including enterocytes, goblet cells and M cells. Fe2O3 was not toxic at concentrations tested in the digesta. In biokinetics studies, translocation of Fe2O3 after 4 h was <1% and ~2% for digesta with and without serum, respectively, suggesting that use of serum proteins alters iENMs biokinetics and raises concerns about commonly-used approaches that neglect iENM – food-GIT interactions or dilute digestae in serum-containing media. We present a simple integrated methodology for studying the biokinetics and toxicology of iENMs, which takes into consideration nanoparticle-food-GIT interactions. The importance of food matrix and GIT effects on biointeractions was demonstrated, as well as the incorporation of these critical factors into a cellular toxicity screening model. Standardized food models still need to be developed and used to assess the effect of the food matrix effects on the fate and bioactivity of iENMs since commercial foods vary considerably in their compositions and structures.
The key role of protein-nanoparticle (NP) interactions in biological mediums has begun to emerge recently with the development of the concept of NP-protein `corona'. A dynamic layer of proteins- referred to as corona- adsorb on to NP surfaces immediately upon entering a biological milieu. This layer of protein is mainly constructed via hydrophobic interactions in addition to the entropy-driven mechanisms. The unique fingerprint of protein corona for each NP type arises from the differences in the characteristics of NPs including SSA, D xrd , ρ, D h , PdI and Zeta. Therefore, in this paper, according to the characteristics of four different NPs and their corresponding quantifications of nine corona proteins taken from a study by Konduru et al., we computationally analyze the effect of the characteristics of NPs, and accordingly present a computational model to predict the quantification of the formed corona proteins around the NPs. For this, a multiple linear regression model is developed to investigate the effect of selective physicochemical characteristics of NPs on the protein corona formation. This model could be used as a predictive model in addition to the computational models to determine the percentage of proteins interacting with NPs.
