Nutrient transporters have been explored for biomimetic delivery targeting the brain. The albumin-binding proteins (e.g., SPARC and gp60) are overexpressed in many tumors for transport of albumin as an amino acid and an energy source for fast-growing cancer cells. However, their application in brain delivery has rarely been investigated. In this work, SPARC and gp60 overexpression was found on glioma and tumor vessel endothelium; therefore, such pathways were explored for use in brain-targeting biomimetic delivery. We developed a green method for blood-brain barrier (BBB)-penetrating albumin nanoparticle synthesis, with the capacity to coencapsulate different drugs and no need for cross-linkers. The hydrophobic drugs (i.e., paclitaxel and fenretinide) yield synergistic effects to induce albumin self-assembly, forming dual drug-loaded nanoparticles. The albumin nanoparticles can penetrate the BBB and target glioma cells via the mechanisms of SPARC- and gp60-mediated biomimetic transport. Importantly, by modification with the cell-penetrating peptide LMWP, the albumin nanoparticles display enhanced BBB penetration, intratumoral infiltration, and cellular uptake. The LMWP-modified nanoparticles exhibited improved treatment outcomes in both subcutaneous and intracranial glioma models, with reduced toxic side effects. The therapeutic mechanisms were associated with induction of apoptosis, antiangiogenesis, and tumor immune microenvironment regulation. It provides a facile method for dual drug-loaded albumin nanoparticle preparation and a promising avenue for biomimetic delivery targeting the brain tumor based on combination therapy.
Small interfering RNA (siRNA) is emerging as a novel therapeutic for treating various diseases, provided a safe and efficient delivery is available. In particular, specific delivery to target cells is critical for achieving high therapeutic efficacy while reducing toxicity. Amphiphilic dendrimers are emerging as novel promising carriers for siRNA delivery by virtue of the combined multivalent cooperativity of dendrimers with the self-assembling property of lipid vectors. Here, we report a ballistic approach for targeted siRNA delivery to cancer cells using an amphiphilic dendrimer equipped with a dual targeting peptide bearing an RGDK warhead. According to the molecular design, the amphiphilic dendrimer was expected to deliver siRNA effectively, while the aim of the targeting peptide was to home in on tumors via interaction of its warhead with integrin and the neuropilin-1 receptor on cancer cells. Coating the positively charged siRNA/dendrimer delivery complex with the negatively charged segment of the targeting peptide via electrostatic interactions led to small and stable nanoparticles which were able to protect siRNA from degradation while maintaining the accessibility of RGDK for targeting cancer cells and preserving the ability of the siRNA to escape from endosomes. The targeted system had enhanced siRNA delivery, stronger gene silencing, and more potent anticancer activity compared to nontargeted or covalent dendrimer-based systems. In addition, neither acute toxicity nor induced inflammation was observed. Consequently, this delivery system constitutes a promising nonviral vector for targeted delivery and can be further developed to provide RNAi-based personalized medicine against cancer. Our study also gives new perspectives on the use of nanotechnology based on self-assembling dendrimers in various biomedical applications.
Cell-penetrating peptide (CPP)-mediated intracellular drug delivery system, often specifically termed as “the Trojan horse approach”, has become the “holy grail” in achieving effective delivery of macromolecular compounds such as proteins, DNA, siRNAs, and drug carriers. It is characterized by the unique cell- (or receptor-), temperature-, and payload-independent mechanisms, therefore offering potent means to improve poor cellular uptake of a variety of macromolecular drugs. Nevertheless, this “Trojan horse” approach also acts like a double-edged sword, causing serious safety and toxicity concerns to normal tissues or organs for in vivo application, due to lack of target selectivity of the powerful cell penetrating activity. To overcome this problem of potent yet non-selective penetration vs. targeting delivery, a number of “smart” strategies have been developed in recent years, including controllable CPP-based drug delivery systems based on various stimuli-responsive mechanisms. This review article provides a fundamental understanding of these smart systems, as well as a discussion of their real-time in vivo applicability.
BackgroundFor genomic selection in populations with a small reference population, combining populations of the same breed or populations of related breeds is an effective way to increase the size of the reference population. However, genomic predictions based on single nucleotide polymorphism (SNP)-chip genotype data using combined populations with different genetic backgrounds or from different breeds have not shown a clear advantage over using within-population or within-breed predictions. The increasing availability of whole-genome sequencing (WGS) data provides new opportunities for combined population genomic prediction. Our objective was to investigate the accuracy of genomic prediction using imputation-based WGS data from combined populations in pigs. Using 80K SNP panel genotypes, WGS genotypes, or genotypes on WGS variants that were pruned based on linkage disequilibrium (LD), three methods [genomic best linear unbiased prediction (GBLUP), single-step (ss)GBLUP, and genomic feature (GF)BLUP] were implemented with different prior information to identify the best method to improve the accuracy of genomic prediction for combined populations in pigs.ResultsIn total, 2089 and 2043 individuals with production and reproduction phenotypes, respectively, from three Yorkshire populations with different genetic backgrounds were genotyped with the PorcineSNP80 panel. Imputation accuracy from 80K to WGS variants reached 92%. The results showed that use of the WGS data compared to the 80K SNP panel did not increase the accuracy of genomic prediction in a single population, but using WGS data with LD pruning and GFBLUP with prior information did yield higher accuracy than the 80K SNP panel. For the 80K SNP panel genotypes, using the combined population resulted in a slight improvement, no change, or even a slight decrease in accuracy in comparison with the single population for GBLUP and ssGBLUP, while accuracy increased by 1 to 2.4% when using WGS data. Notably, the GFBLUP method did not perform well for both the combined population and the single populations.ConclusionsThe use of WGS data was beneficial for combined population genomic prediction. Simply increasing the number of SNPs to the WGS level did not increase accuracy for a single population, while using pruned WGS data based on LD and GFBLUP with prior information could yield higher accuracy than the 80K SNP panel.
Gefitinib is a first-line therapy in the EGFR-mutated nonsmall cell lung cancer (NSCLC). However, the development of drug resistance is almost unavoidable, thus leading to an unsustainable regimen. EGFR mutation is the major cause responsible for the molecular-targeting therapy failure in NSCLC. Although the recently approved osimertinib is effective for the EGFR-positive NSCLC, the osimertinib-resistant EGFR mutation is rapidly developed, too. In this study, we proposed a tumor-associated macrophage (TAM) reprogramming strategy for overcoming the EGFR-associated drug resistance via a dual-targeting codelivery system of gefitinib/vorinostat that acted on both TAM with overexpression of mannose receptors and the HER-2 positive NSCLC cells. The trastuzumab-modified, mannosylated liposomal system was able to repolarize the protumor M2 phenotype to the antitumor M1 and cause the elevating ROS in the cancer cells, consequently modulating the intracellular redox balance via ROS/NOX3/MsrA axis. The suppressed MsrA facilitated the EGFR degradation through 790M oxidation by ROS, thus resensitizing the EGFR-positive cells to gefitinib. The dual-targeting codelivery and TAM-reprogramming strategies provided a potential method for rescuing the EGFR-caused resistance to tyrosine kinase inhibitor treatment.
These findings suggest the potential benefit of short-dwell ELT combined with systemic antimicrobials in CLABSI treatment. Randomized controlled trials are needed.
A newly emerging porcine circovirus, designated PCV3, has been reported in various countries (USA, Poland, South Korea and China) since 2017. Its presence may be associated with porcine dermatitis and nephropathy syndrome (PDNS), reproductive failure, and multisystem inflammation. In this study, we report identification of PCV3 in cases of reproductive failure in various regions in Hunan, China. From January 2015 to December 2016, sera were collected from 190 sows from seven farms with reproductive problems. Specifically, 85 samples were from sows with a history of reproductive failure, whereas the remaining 105 were from healthy sows. The PCV3-positive rate was significantly higher in sows with reproductive failure (45.9%) than in healthy sows (21.9%), based on quantitative PCR (qPCR) assays. Although phylogenetic analysis based on the cap gene suggested that these PCV3 isolates belonged to the clade PCV3a, amino acid sequence variations in the Cap protein still occurred among these isolates, and these might have contributed to antigenic alterations of the Cap protein, based on the Jameson-Wolf antigenic index. Finally, we concluded that PCV3 was circulating in sows in Hunan province, China. However, the association of PCV3 with reproductive failure in sows and its potential for vertical transmission need to be studied further.
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