| Literature DB >> 35646840 |
Bo Lin1, Ying-Yu Ma2,3, Jun-Wei Wang4.
Abstract
Diabetic nephropathy (DN) is the leading cause of end-stage renal disease worldwide. With the rising prevalence of diabetes, the occurrence of DN is likely to hit pandemic proportions. The current treatment strategies employed for DN focus on the management of blood pressure, glycemia, and cholesterol while neglecting DN's molecular progression mechanism. For many theranostic uses, nano-technological techniques have evolved in biomedical studies. Several nanotechnologically based theranostics have been devised that can be tagged with targeting moieties for both drug administration and/or imaging systems and are being studied to identify various clinical conditions. The molecular mechanisms involved in DN are discussed in this review to assist in understanding its onset and progression pattern. We have also discussed emerging strategies for establishing a nanomedicine-based platform for DN-targeted drug delivery to increase drug's efficacy and safety, as well as their reported applications.Entities:
Keywords: diabetic nephropathy; kidney disease; nanoparticles; nanotechnology; targeted delivery
Year: 2022 PMID: 35646840 PMCID: PMC9136139 DOI: 10.3389/fbioe.2022.870049
Source DB: PubMed Journal: Front Bioeng Biotechnol ISSN: 2296-4185
FIGURE 1Maladaptive repair after acute kidney injury (AKI) can result in chronic kidney disease (CKD).
FIGURE 2Diabetic nephropathy (DN)’s pathogenesis. Fibrosis, inflammation, and oxidative stress all have an involvement in the onset and progression of DN, and each of these pathways is intricately linked and reinforcing each other. A major part of DN is oxidative stress, which triggers inflammation and fibrosis, both of which increase oxidative stress; renal fibrosis occurs as a result of inflammation, exacerbating the inflammatory response.
FIGURE 3Schematic mechanism of kidney targeted drug delivery. The renal artery transports drug-carrying nanoparticles to the afferent arteriole, where they remain in the bloodstream or are filtered out of the blood by the kidneys in the glomerular capillaries for further processing. Renal components such as the endothelial cells, GBM, and glycocalyx can all be modified to assist in the selection of NPs for filtration. Following filtering, NPs can interact with podocytes in the Bowman’s lumen. The NPs are transported to the proximal tubule, where they interact with proximal epithelial cells and may be reabsorbed (Merlin and Li, 2021).
Nano-technological for targeting renal diseases and DN.
| Nanoparticles | Size | Target/Location | Receptor/Antibody | % Selectivity/target specificity | References |
|---|---|---|---|---|---|
| Peptide-conjugated prodrug | — | Tubular and glomerular damage | Ang receptors | Selectively downregulated the AT1R level |
|
| HA-CUR prodrug | — | renal tubule epithelial cells | CD44 receptors | 13.9-fold renal accumulation |
|
| LMWC conjugated prednisolone | 31 kDa | Renal | Megalin receptor | Significant accumulation in renal proximal tubules | ( |
| LMW polycationic chitosan | 450 nm | PTECs | — | >50% selectivity to PTECs |
|
| PVD conjugated superoxide dismutase | 73 kDa | Renal | — | Around 80% of polymer accumulated in the kidney |
|
| Carboxylated-PVP | — | Proximal tubular cells | — | Five-fold accumulation in proximal tubular cells |
|
| PEP-PEA | 100 nm | Proximal convoluted tubule | Ligand binding receptor | Specifically localized in renal |
|
| Protein/AuNPs-based sensors | 51 nm | Podocytes | — | Selectively targeting the podocyte and regulating the level of nephrin and podocin |
|
| ITSIONs | ∼10 nm | renal medulla | RT1 anti-MHC Class II antibodies | RT1 ITSIONS indicates specificity for the renal medulla |
|
| Silica NPs modified with anti-CD11b | 100 nm | Inflammed kidney | anti-CD11b | Enhanced anti-CD11b mediated uptake of silica NPs |
|
| Liposomal encapsulation of prednisolone | 100–500 nm | Inflammed kidney | Glucocorticoid receptor | Specifically target the renal |
|
| Mannose-PEG-DSPE | 132 nm | Renal glomerular cells | Mannose receptor | Effectively target the renal glomerular cells |
|
| PPE-AuNPs | 20 nm | STZ-induced DN | — | PPE-AuNP suppressed STZ-induced renal toxicity |
|
| Zinc oxide NPs | <50 nm | Renal tissues | — | ≈2 fold renal accumulation |
|
| SeNPs | 40 and 90 nm | Renal proximal tubular cells | — | SeNPs decreased the Bax level with increased Bcl-2 level in the kidney |
|
| Gold NPs | 30 nm | Proximal renal tubular epithelial cells | — | AuNPs exhibited a nephroprotective role |
|
| Nanoconjugates of albumin | 10 nm | Podocytes | Fc receptor (FcRn) | — |
|
| Polymeric NPs | 30–120 nm | Podocytes | — | Size-dependent internalization |
|
| Polycationic cyclodextrin NPs | 70 nm | Glomerular mesangium | mannose receptor | Specifically target the Glomerular mesangium |
|
| Cyclodextrin-based siRNA NPs | 60–100 nm | GBM | — | ≈75% GBM accumulation |
|
| PLGA-PEG NPs | 347 nm | Proximal tubules | — | 26-fold renal selectivity |
|
| Mesoscale NPs | 400 nm | Renal proximal tubules | — | 7-fold renal selectivity |
|
| dDAVP-9r | 204 nm | Inner medullary collecting duct | vasopressin V2 receptor | V2 receptor-mediated internalization in collecting duct |
|
FIGURE 4Schematic illustration of siRNA-loaded NPs accumulation and dissociation in the GBM. NPs pass through the fenestrations in the glomerular endothelial cell lining and enter into the GBM. At the GBM, the NPs are disassembled due to the high amounts of haparan sulfate. The NPs may then pass through the GMB, and after podocyte filtration, reach the Bowman’s capsule.