| Literature DB >> 28282876 |
Masuko Kobori1, Yumiko Takahashi2, Mutsumi Sakurai3, Yinhua Ni4, Guanliang Chen5, Mayumi Nagashimada6, Shuichi Kaneko7, Tsuguhito Ota8.
Abstract
Astaxanthin alleviates hepatic lipid accumulation and peroxidation, inflammation, and fibrosis in mice with high-cholesterol, high-cholate, and high-fat (CL) diet-induced nonalcoholic steatohepatitis (NASH) [...].Entities:
Keywords: astaxanthin; comprehensive gene expression analysis; eukaryotic initiation factor-2 (EIF2); nonalcoholic steatohepatitis (NASH); peroxisome proliferator-activated receptor α (PPARA); vitamin E
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Year: 2017 PMID: 28282876 PMCID: PMC5372609 DOI: 10.3390/ijms18030593
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Figure 1The structure of astaxanthin.
The top five biological functions of hepatic genes that were significantly altered (a) by astaxanthin and (b) by vitamin E in mice with high-cholesterol, high-cholate, and high-fat (CL) diet-induced nonalcoholic steatohepatitis 1.
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| Cell death and survival (8 functions) | 8.98 × 10−3–7.90 × 10−5 | 28 |
| Organismal injury and abnormalities (22 functions) | 4.58 × 10−2–7.90 × 10−5 | 45 |
| Hepatic system development and function (4 functions) | 3.73 × 10−2–1.20 × 10−3 | 20 |
| Inflammatory response (5 functions) | 3.12 × 10−2–1.20 × 10−3 | 21 |
| Organ development (4 functions) | 3.66 × 10−2–1.20 × 10−3 | 22 |
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| Lipid metabolism (5 functions) | 3.88 × 10−2–4.15 × 10−4 | 12 |
| Molecular transport (5 functions) | 2.51 × 10−2–4.15 × 10−4 | 20 |
| Small molecule biochemistry (6 functions) | 3.88 × 10−2–4.15 × 10−4 | 14 |
| Cell death and survival (8 functions) | 3.36 × 10−2–9.36 × 10−4 | 29 |
| Organismal injury and abnormalities (23 functions) | 3.36 × 10−2–1.81 × 10−3 | 7 |
1 The most significant functions in the data set were identified by Ingenuity Pathway Analysis.
Figure 2The top five canonical pathways of hepatic genes that were significantly altered by astaxanthin (a,c); or vitamin E (b,d) in mice with CL diet-induced nonalcoholic steatohepatitis; (a,b) Canonical pathways of genes that were significantly up- or downregulated by astaxanthin (n = 1137) and vitamin E (n = 1397), respectively; (c,d) Canonical pathways of genes whose expressions were significantly improved by astaxanthin (n = 738) and vitamin E (n = 1330), respectively. The most significant pathways in the dataset were identified by Ingenuity Pathway Analysis. Orange bars indicate predicted pathway activation. White bars indicate pathways not predicted to be activated or inhibited. Gray bars indicate pathways where no prediction had been made. Orange points connected by lines represent the ratio of the number of genes in a given pathway to the total number of genes in the reference set that make up that pathway. EIF2, eukaryotic initiation factor-2; mTOR, mammalian target of rapamycin.
Figure 3Hepatic mRNA expression of EIF2 signaling-, mitochondrial dysfuction-, peroxisome proliferator-activated receptor α (PPARA)-, and PPARδ (PPARD)-related molecules assessed by quantitative real-time PCR (qPCR). (a) EIF2 signaling-related molecule, Akt2 mRNA expression in the liver of mice with CL diet-induced nonalcoholic steatohepatitis; (b) Mitochondrial dysfuction-related molecule, Cpt1a mRNA expression in the liver of mice; (c) PPARα-related molecule, Acox1 mRNA expression in the liver of mice; (d) PPARδ-related molecule, Scd1 mRNA expression in the liver of mice. * p < 0.05, ** p < 0.01 vs. the CL diet.
Upstream regulators predicted to be altered by astaxanthin in mice with nonalcoholic steatohepatitis 1.
| Upstream Regulator 2 | Molecule Type | Predicted Activation State | Activation | Target Molecules in Dataset | |
|---|---|---|---|---|---|
| PNPLA2 | Enzyme | Inhibited | −2.2 | 4.55 × 10−4 | ACADM, ACOX1, ACSL1, CPT1A, PPARA |
| PPARD | Ligand-dependent nuclear receptor | Inhibited | −2.975 | 1.46 × 10−1 | ALDH9A1, DET1, ECH1, LGALS4 LIPG, MFSD2A, PLIN2, SCD, SLC25A20 |
| PPARA | Ligand-dependent nuclear receptor | Inhibited | −2.351 | 8.54 × 10−3 | ABCA1, ABCD3, ACAA1, ACADM, ACADS, ACOX1, ACSL5, ADTRP, ALDOB, APEX1, CPT1A, CYP4A11, DECR1, ECH1, ECI1, GNMT, GOT2, HSD17B10, HSD17B4, IDI1, LAMB3, LGALS4, LIPG, MGLL, PBLD, RTN4, SCD, SCP2, SLC25A20, SMC4 |
| RXRA | Ligand-dependent nuclear receptor | Inhibited | −2.156 | 1.37 × 10−2 | ABCA1, ACADM, ACOX1, ALDH1A1, CYP4A11, GPT |
| IL6 | Cytokine | Inhibited | −2.362 | 1.00 × 100 | ACOX1, IL6ST, MAF, NR3C1, RORA, SMAD7 |
| RICTOR | Other | Activated | 2.846 | 1.83 × 10−8 | ATP5D, ATP5G2, ATP5O, ATP6V0C, ATP6V1D, COX5A, Cox5b, COX7A2, MCL1, NDUFA2, NDUFA6, NDUFA7, NDUFAB1, NDUFB3, NDUFC1, NDUFC2, Ndufs5, PSMB1, PSMB2, PSMB6, PSMB7, PSMD11, PSMD12, PSMD7, RPL10A, RPL13A, RPL18, RPL23, RPL6, RPL9, Rplp1(includes others), RPS11, RPS15, RPS18, RPS24, RPS26, RPS3, RPS8, RPS9, UQCRHL |
| ERN1 | Kinase | Activated | 2.345 | 3.85 × 10−2 | DGAT2, FITM2, GPT, PLIN2, SCD, SEC61A1, SRPRA, SURF4, WFS1 |
| PML | Transcription regulator | Activated | 2.449 | 9.73 × 10−3 | ACADM, ACADS, ACOX1, CPT1A, SCD, SLC25A20 |
| MAP3K8 | Kinase | Activated | 2.213 | 1.00 × 100 | BMP1, CLIC5, FAAP24, FAM107B, FLNB, IFNGR1, IGF1R |
| IKZF1 | Transcription regulator | Activated | 2 | 1.00 × 100 | HNRNPLL, MYO1B, SH3BP5, SULF2 |
| CD28 | Transmembrane receptor | Activated | 2.433 | 3.61 × 10−1 | ATF2, CASP6, CASP8, IFNGR1, IGF1R, MAF, RORA |
1 The most significant upstream regulators in the data set were identified by Ingenuity Pathway Analysis; 2 For explanations of the abbreviations, please see the Abbreviation List.
Upstream regulators predicted to be altered by vitamin E in nonalcoholic steatohepatitis mice 1.
| Upstream Regulator 2 | Molecule Type | Predicted Activation State | Activation | Target Molecules in Dataset | |
|---|---|---|---|---|---|
| RICTOR | Other | Inhibited | −6.505 | 1.63 × 10−11 | Atp5e, ATP6V0A2, ATP6V1A, ATP6V1D, COX4I1, Cox5b, COX6A1, COX6B1, COX7A2, COX7A2L, CYC1, FAU, NDUFA2, NDUFA3, NDUFB7, NDUFC1, NDUFS6, NDUFV1, PSMB3, PSMC2, PSMD13, RPL13A, RPL14, RPL17, RPL18, RPL22, RPL23, Rpl23a, RPL26, RPL28, RPL30, Rpl34 (includes others), RPL35A, RPL38, RPL41, RPL8, RPL9, Rplp1 (includes others), RPLP2, RPS10, RPS11, RPS13, RPS15, RPS21, RPS24, RPS27A, RPS29, RPS6, RPSA, SHFM1 |
| IL6 | Cytokine | Inhibited | −2.234 | 5.03 × 10−1 | ABCC3, ACOX1, C3, CCR5, F3, IL6ST, MAF, NR3C1, RORA |
| LEP | Growth factor | Activated | 2.543 | 2.10 × 10−1 | ABCC3, ACADVL, ACOX1, CYR61, ECH1, FAAH, GAPDH, IL1B, OPLAH, PRDX1, SCD, SOD1 |
| ARNT | Transcription regulator | Activated | 2.236 | 3.62 × 10−2 | CCR5, ENO1, GAPDH, PGK1, TPI1 |
| NFE2L2 | Transcription regulator | Activated | 4.498 | 2.61 × 10−6 | ABCC3, AKR1A1, AKR7A2, ARF1, ATF7, ATP1A1, CCT3, CDC34, CLPP, COQ7, DDX39B, EIF3C, EIF3G, EPHX1, F10, FTL, GNA11, GSPT1, GSTM5, HACD3, HAX1, HM13, IL1B, MCFD2, MORF4L2, NCKAP1, NFE2L1, PPIB, PRDX1, PSMB3, PSMD13, RAN, RPL18, RPS16, S100A13, SERINC3, SLCO1B3, TPI1 |
| MYC | Transcription regulator | Activated | 2.76 | 9.34 × 10−2 | ENO1, GAPDH, GPI, HNRNPAB, HNRNPD, KAT2A, NCL, PA2G4, PCK1, PGK1, TPI1, ZFP36L1 |
1 The most significant upstream regulators in the data set were identified by Ingenuity Pathway Analysis; 2 For explanations of the abbreviations, please see the Abbreviation List.
Figure 4Astaxanthin suppressed the expression of PPARA and the target molecules in mice with nonalcoholic steatohepatitis. →, expression: —, protein-protein binding. *, More than 2 genes were included. The relationship among PPARA, which was predicted to be inhibited by astaxanthin, and the target molecules in the dataset was identified by Ingenuity Pathway Analysis.
Figure 5Relationship among PNPLA2, PPARD, PPARA, and RXRA and the target molecules of PNPLA2, PPARD, and RXRA in the dataset regulated by astaxanthin in mice with nonalcoholic steatohepatitis. →, expression: —, protein-protein binding. *, More than 2 genes were included. The network of the molecules was identified by Ingenuity Pathway Analysis.