| Literature DB >> 21555979 |
Chanachai Saelee1, Visa Thongrakard, Tewin Tencomnao.
Abstract
Psoriasis is a chronic inflammatory skin disorder characterized by rapid proliferation of keratinocytes and incomplete keratinization. Discovery of safer and more effective anti-psoriatic drugs remains an area of active research at the present time. Using a HaCaT keratinocyte cell line as an in vitro model, we had previously found that ethanolic extracts from three Thai medicinal herbs, namely Alpinia galanga, Curcuma longa and Annona squamosa, possessed anti-psoriatic activity. In the current study, we aimed at investigating if these Thai medicinal herb extracts played a molecular role in suppressing psoriasis via regulation of NF-κB signaling biomarkers. Using semi-quantitative RT-PCR and report gene assays, we analyzed the effects of these potential herbal extracts on 10 different genes of the NF-κB signaling network in HaCaT cells. In accordance with our hypothesis, we found that the extract derived from Alpinia galanga significantly increased the expression of TNFAIP3 and significantly reduced the expression of CSF-1 and NF-kB2. Curcuma longa extract significantly decreased the expression of CSF-1, IL-8, NF-kB2, NF-kB1 and RelA, while Annona squamosa extract significantly lowered the expression of CD40 and NF-kB1. Therefore, this in vitro study suggested that these herbal extracts capable of functioning against psoriasis, might exert their activity by controlling the expression of NF-κB signaling biomarkers.Entities:
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Year: 2011 PMID: 21555979 PMCID: PMC6263342 DOI: 10.3390/molecules16053908
Source DB: PubMed Journal: Molecules ISSN: 1420-3049 Impact factor: 4.411
Figure 1The effect of Thai medicinal herb extracts on the expression of mRNA transcripts of NF-κB signaling network biomarkers in HaCaT cells pretreated for 24 h with both proinflammatory cytokines (TNFα and IFNγ) and treated for 48 h with increasing concentrations of each herbal extract type.
Figure 2The effect of Thai medicinal herb extracts on the expression of mRNA transcripts of NF-κB signaling network biomarkers in HaCaT cells pretreated for 12 h with both proinflammatory cytokines and treated for 24 h with increasing concentrations of each herbal extract type.
Figure 3The effect of Thai medicinal herb extracts on the expression of mRNA transcripts of NF-κB signaling network biomarkers in proinflammatory cytokines-non-pretreated HaCaT cells treated with increasing concentrations of each herbal extract type for either 24 h or 48 h.
Figure 4The effect of Thai medicinal herb extracts on promoter activity of NF-κB signaling network genes in HaCaT cells pretreated for 12 h with both proinflammatory cytokines and treated for 24 h with increasing concentrations of each herbal extract type.
Figure 5The effect of Thai medicinal herb extracts on promoter activity of NF-κB signaling network genes in proinflammatory cytokines-non-pretreated HaCaT cells treated with increasing concentrations of each herbal extract type for either 24 h or 48 h. Transcriptional activities of the luciferase reporter gene plasmids corresponding to the promoter activities of VCAM-1, CD40, NF-κB1 and RelA genes in HaCaT cells treated for either 24 h or 48 h with 0.25 IC50, 0.5 IC50 and IC50of extracts from Annona squamosa leaves (IC50 = 6.300µg/mL), Alpinia galanga rhizomes(IC50 = 6.300 µg/mL)and Curcuma longa rhizomes (IC50 = 6.700 µg/mL).
Specific nucleotide primer used in RT-PCR.
| Name | Sequences | PCR product lengths | Ref. | |
|---|---|---|---|---|
| β-actin | forward | 5’ ACG GGT CAC CCA CAC TGT GC 3’ | 656 bp | [ |
| reverse | 5’ CTA GAA GCA TTT GCG GTG GAC GAT 3’ | |||
| IRF-1 | forward | 5’ AAC AAG GGC AGC TCA GCT GT 3’ | 450 bp | [ |
| reverse | 5’ TGT TGG CTG CCA CTC CGA CT 3’ | |||
| VCAM-1 | forward | 5’ AGT CAG GAA TTT CTG GAG GAT GC 3’ | 229 bp | [ |
| reverse | 5’ GCA GCT TTG TGG ATG GAT TCA 3’ | |||
| RelB | forward | 5’ TCC CAA CCA GGA TGT CTA GC 3’ | 160 bp | [ |
| reverse | 5’ AGC CAT GTC CCT TTT CCT CT 3’ | |||
| TNFAIP3 | forward | 5’ TTC AAG CAG ATG TAT GGC TAA CC 3’ | 267 bp | [ |
| reverse | 5’ CCT TGG GCT GAA TCT GAC AT 3’ | |||
| CSF-1 | forward | 5’ ATG ACA GAC AGG TGG AAC TGC CAG 3’ | 438 bp | [ |
| reverse | 5’ TCA CAC AAC TTC AGT AGG TTC AGG 3’ | |||
| CD40 | forward | 5’ AGA GTT CAC TGA AAC GGA ATG CC 3’ | 461 bp | [ |
| reverse | 5’ ACA GGA TCC CGA AGA TGA TGG 3’ | |||
| IL-8 | forward | 5’ CTG CGC CAA CAC AGA AAT TA 3’ | 238 bp | [ |
| reverse | 5’ ATT GCA TCT GGC AAC CCT AC 3’ | |||
| NF-κB2 | forward | 5’ CAG TGA GAA GGG CCG AAA GAC 3’ | 421 bp | This study |
| reverse | 5’ CAG GGG CAG GGA GAA GGA G 3’ | |||
| NF-κB1 | forward | 5’ AGC CCC CAA TGC ATC CAA CTT 3’ | 402 bp | [ |
| reverse | 5’ CAA CCG CCG AAA CTA TCC GAA AAA 3’ | |||
| RelA | forward | 5’ AGC GCA TCC AGA CCA ACA ACA ACC 3’ | 419 bp | [ |
| reverse | 5’ CCG CCG CAG CTG CAT GGA GAC AC 3’ | |||