| Literature DB >> 30934561 |
Palanivel Ganesan1,2, Byungwook Kim3,4, Prakash Ramalaingam5,6, Govindarajan Karthivashan7, Vishnu Revuri8, Shinyoung Park9, Joon Soo Kim10, Young Tag Ko11, Dong-Kug Choi12,13.
Abstract
Curcumin, which is a potential antineuroinflammatory and neuroprotective compound, exhibits poor bioavailability in brain cells due to its difficulty in crossing the blood⁻brain barrier and its rapid metabolism during circulation, which decreases its efficacy in treating chronic neuroinflammatory diseases in the central nervous system. The bioavailability and potential of curcumin can be improved by using a nanodelivery system, which includes solid lipid nanoparticles. Curcumin-loaded solid lipid nanoparticles (SLCN) were efficiently developed to have a particle size of about 86 nm and do not exhibit any toxicity in the endothelial brain cells. Furthermore, the curcumin-loaded solid lipid nanoparticles (SLCN) were studied to assess their efficacy in BV-2 microglial cells against LPS-induced neuroinflammation. The SLCN showed a higher inhibition of nitric oxide (NO) production compared to conventional curcumin in a dose-dependent manner. Similarly, the mRNA and proinflammatory cytokine levels were also reduced in a dose-dependent manner when compared to those with free curcumin. Thus, SLCN could be a potential delivery system for curcumin to treat microglia-mediated neuroinflammation.Entities:
Keywords: SEM; antineuroinflammation; curcumin; lipopolysaccharide; solid lipid nanoparticle; toxicity
Mesh:
Substances:
Year: 2019 PMID: 30934561 PMCID: PMC6470586 DOI: 10.3390/molecules24061170
Source DB: PubMed Journal: Molecules ISSN: 1420-3049 Impact factor: 4.411
Physical properties of solid lipid nanoparticles (SLN) and curcumin-loaded solid lipid nanoparticles (SLCN).
| Formulations | Particle size (nm) | PDI | Zeta Potential (mV) | EE (%) | LC (%) |
|---|---|---|---|---|---|
| SLN | 83.16 ± 1.24 | 0.27 ± 0.02 | −24.29 ± 1.66 | - | - |
| SLCN | 86.60 ± 9.85 | 0.29 ± 0.02 | −22.15 ± 1.32 | 98.8 ± 1.00 | 3.01 |
SLN: solid lipid nanoparticle; SLN: Curcumin loaded solid lipid nanoparticle; PDI: poly dispersity index; EE: Encapsulation efficiency; and LC: Loading capacity.
Figure 1SEM micrograph of SLCN.
Figure 2Cell viability of SLN and SLCN in bEnd3 cells (a)or NIH/3T3 cells (b).
Figure 3Effect of SLCN and base curcumin on NO production and cell viability in lipopolysaccharide LPS-stimulated BV2 cells. BV2 cells were pretreated with the indicated concentrations (18 and 36 µg/mL) of SLCN and base curcumin (B.Cur) for 1 h before incubation with LPS (100 ng/mL) for 24 h. Nitrite was measured using the Griess reaction (A). The cell viability was evaluated using the MTT assay (B). Results are displayed as a percentage of untreated groups. ###p < 0.001, vs. untreated group; **p < 0.01 and ***p < 0.001 vs. LPS-treated group; $$p < 0.01 vs. SLCN-treated group (one-way ANOVA; n = 4).
Figure 4SLCN attenuates iNOS and COX-2 mRNA levels in LPS-stimulated BV2 cells. BV2 cells were pretreated with the indicated concentrations of SLCN and base curcumin for 1 h before being incubated with LPS (100 ng/mL) for 6 h (RT-PCR). Total RNA was prepared and analysed for iNOS and COX-2 gene expression by RT-PCR. Quantification data are shown in the lower panel. ###p < 0.001 vs. untreated group; **p < 0.01 and ***i < 0.001 vs. LPS-treated group; $p < 0.05 vs. SLCN-treated group (one-way ANOVA; n = 3).
Figure 5SLCN decreases the production of proinflammatory cytokines. Cells were pretreated with the indicated doses of SLCN and base curcumin for 1 h before LPS (100 ng/mL) treatment. The mRNA levels of TNF-α, IL-1β, IL-6 and GAPDH were determined via RT-PCR. There was a representative densitometry analysis of TNF-α, IL-1β and IL-6 compared with GAPDH mRNA, respectively. ###E < 0.001 vs. untreated group; *p < 0.05, **p < 0.01 and ***p < 0.001 vs. LPS-treated group; $p < 0.05 and $$p < 0.01 vs. SLCN-treated group (one-way ANOVA; n = 3).
Figure 6Postulated SLCN antineuroinflammatory mechanism of action in LPS-stimulated BV2 cells.
Primer sets used for RT-PCR.
| Gene | Primer Sequence | Size (bp) | Accession | |
|---|---|---|---|---|
|
| Forward | 5′-CTTGCAAGTCCAAGTCTTGC-3′ | 369 | NM_010927 |
| Reverse | 5′-GTATGTGTCTGCAGATGTGCTG-3′ | |||
| COX-2 | Forward | 5′-ACATCCCTGAGAACCTGCAGT-3′ | 414 | NM_011198 |
| Reverse | 5′-CCAGGAGGATGGAGTTGTTGT-3′ | |||
| IL-1β | Forward | 5′-CATATGAGCTGAAAGCTCTCCA-3′ | 385 | NM_008361 |
| Reverse | 5′-GACACAGATTCCATGGTGAAGTC-3′ | |||
| IL-6 | Forward | 5′-GGAGGCTTAATTACACATGTT-3′ | 435 | NM_031168 |
| Reverse | 5’-TGATTTCAAAGATGAATTGGAT-3‘ | |||
| TNF-α | Forward | 5′-TTCGAGTGACAAGCCTGTAGC-3′ | 390 | NM_013693 |
| Reverse | 5′-AGATTGACCTCAGCGCTGAGT-3′ | |||
| GAPDH | Forward | 5′-CCAGTATGACTCCACTCACG-3′ | 378 | GU214026 |
| Reverse | 5′-CCTTCCACAATGCCAAAGTT-3′ | |||