| Literature DB >> 30934852 |
Andrea Mastinu1, Sara Anna Bonini2, Wiramon Rungratanawanich3, Francesca Aria4, Mariagrazia Marziano5, Giuseppina Maccarinelli6, Giulia Abate7, Marika Premoli8, Maurizio Memo9, Daniela Uberti10.
Abstract
BACKGROUND: Rice (Oryza sativa L.) is the main food source for more than half of humankind. Rice is rich in phytochemicals and antioxidants with several biological activities; among these compounds, the presence of γ-oryzanol is noteworthy. The present study aims to explore the effects of γ-oryzanol on cognitive performance in a mouse model of neuroinflammation and cognitive alterations.Entities:
Keywords: cognitive performance; neuroinflammation; second-generation antioxidant enzymes; γ-oryzanol
Mesh:
Substances:
Year: 2019 PMID: 30934852 PMCID: PMC6520753 DOI: 10.3390/nu11040728
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Figure 1Chemical structures of different organic molecules contained in γ-oryzanol (A). Graphic scheme of γ-oryzanol and lipopolysaccharide (LPS) treatment protocol (B).
Primers used for q-PCR.
| Genes | Primer Sequences |
|---|---|
| Rel-A (p65) | f-5′-TTCCTGGCGAGAGAAGCAC-3′; |
| Inducible nitric oxide synthase (iNOS) | f-5′-CAGCTGGGCTGTACAAAC-3′; |
| Cyclooxygenase 2 (COX-2) | f-5′-GCAAATCCTTGCTGTTCCAACCCA-3′; |
| Interleukin 1 beta (IL-1β) | f-5′-GCTTCAGGCAGGCAGTATC-3′; |
| Interleukin 6 (IL-6) | f-5′-CCTACCCCAATTTCCAATGCT-3′; |
| Heme oxygenase 1 (HO-1) | f-5′-TGAAGGAGGCCACCAAGGAGG-3′; |
| NAD(P)H dehydrogenase (quinone) 1 (NQO1) | f-5′-AGGATGGGAGGTACTCGAATC-3′; |
| Nuclear factor (erythroid-derived 2)-like 2 (NRF2) | f-5′-AGCCCCATTCACAAAAGACA-3′; |
| Actin (β-act) | f-5′-AGCCATGTACGTAGCCATCC-3′; |
Body weight and food intake. VH: vehicle; ORY: γ-oryzanol.
| Body Weight (g) | Food Intake (g) | |||
|---|---|---|---|---|
| Days of Treatment | VH | ORY | VH | ORY |
| 0 | 41.9 ± 1.9 | 44.7 ± 1.3 | / | / |
| 7 | 40.4 ± 1.8 | 41.7 ± 1.2 | 19.3 ± 0.7 | 17.4 ± 0.5 |
| 14 | 40.0 ± 1.8 | 41.7 ± 1.1 | 19.8 ± 0.5 | 20.0 ± 0.4 |
| 21 | 41.3 ± 1.9 | 42.5 ± 1.2 | 22.9 ± 1.0 | 22.6 ± 0.5 |
Figure 2Motor performances of mice (A). Graphic scheme of the novel object recognition (NOR) test protocol and data of time spent exploring the familiar and novel objects are reported. For all experimental conditions, the full color bars represent the familiar object, while the patterned bars represent the novel object (B). Data are expressed as the mean ± S.E.M. Two-way ANOVA tests with Sidak’s multiple comparisons test were used to test statistical significance (* p < 0.05 vs. the familiar object). VH: vehicle; ORY: γ-oryzanol; LPS: lipopolysaccharide.
Figure 3Graphic representation of quantitative RT-PCR data obtained from RNA extracted from the hippocampi of VH, ORY, LPS, and ORY+LPS mice. Data are expressed as the fold change of the target gene (RelA in (A), IL-1β in (B), IL-6 in (C), iNOS in (D) and COX-2 in (E)) normalized to the internal standard control gene (β-Actin). Data are shown as the mean ± S.E.M. One-way ANOVA tests with Newman–Keuls post-test were used to determine statistical significance, * p < 0.05, ** p < 0.005, *** p < 0.0005 and **** p < 0.0001 vs. VH, # p < 0.05, ## p < 0.005 and ### p < 0.0005 vs. LPS. VH: vehicle; ORY: γ-oryzanol; LPS: lipopolysaccharide.
Figure 4Graphic representation of quantitative RT-PCR data obtained from RNA extracted from VH, ORY, LPS, and ORY+LPS mice hippocampi. Data are expressed as the fold change of target genes (Nrf2 in (A), HO-1 in (B) and NQO1 in (C)) normalized to the internal standard control gene (β-Actin). Data are shown as the mean ± S.E.M. One-way ANOVA tests with the Newman–Keuls post-test were used to determine statistical significance, * p < 0.05 and ** p < 0.005. VH, # p < 0.05, and ## p < 0.005 vs. LPS. VH: vehicle; ORY: γ-oryzanol; LPS: lipopolysaccharide.