| Literature DB >> 35784906 |
Hatice Merve Bayram1, Fatih Eren2,3, Fatma Esra Gunes4.
Abstract
Metabolic-associated fatty liver disease (MAFLD) is a public health problem that is increasingly recognized, currently affecting up to a quarter of the world's adult population. Although a biopsy is the current gold standard to diagnose MAFLD, there are potentially serious complications, making it inadequate. Thus far, noninvasive methods have not been able to determine the stage and the subtype of MAFLD. The development and prognosis of MAFLD are modulated by epigenetic factors, including microRNAs (miRNAs), which may be potential biomarkers for MAFLD. Polyphenols, found in many fruits and vegetables, may be useful, as they alter gene expression with epigenetic factors, such as miRNAs. This review presents an overview of the relationship between polyphenols and miRNAs in MAFLD. The literature suggests that miRNAs could be used as a diagnostic method for MAFLD, especially miRNA-122 and miRNA-34a. However, though it has been demonstrated that polyphenols may contribute to improving MAFLD, to our knowledge, no study to date has shown the relationship between polyphenols and miRNAs in MAFLD. The exact mechanisms of polyphenols on miRNAs in MAFLD remain unclear. Future studies may provide hope for diet therapy for MAFLD patients as well as the development of polyphenol-related foods or drugs that target miRNAs to treat MAFLD. © Copyright 2021 by Hepatology Forum - Available online at www.hepatologyforum.org.Entities:
Keywords: Metabolic-associated fatty liver disease; microRNA; poly-phenols
Year: 2021 PMID: 35784906 PMCID: PMC9138948 DOI: 10.14744/hf.2021.2021.0037
Source DB: PubMed Journal: Hepatol Forum ISSN: 2757-7392
Figure 1.The role of miRNAs in key transitions of the pathogenesis of non-alcoholic fatty liver disease.
MiRNA: MicroRNA.
miRNA analysis in MAFLD patients
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| Control group (n=19), MAFLD (n=34) | Yes | qRT-PCR | 122, 34a (NASH), 16 (MAFLD) | Cermelli et al., 2011[ | |
| Control group (n=311), MAFLD (n=92) | No | RT-PCR | 21, 34a, 122, 451 (MAFLD) | Yamada et al., 2013[ | |
| Control group (n=90+(80)), MAFLD (152+(103)) | Yes | qRT-PCR | hsa-miRNA-122-5p, hsa-miRNA-1290, hsa-miRNA-27b-3p,hsa-miRNA-192-5p (MAFLD) | Tan et al., 2014[ | |
| Control group (n=20), MAFLD (n=20) | Yes | qRT-PCR | 181d,99a,197,146b (MAFLD) | Celikbilek et al., 2014[ | |
| MAFLD (n=52) | Yes | TaqMan Micro-RNA assays | 122 (steatosis) | 122 (fib.) | Miyaaki et al., 2014[ |
| Control group (16+(19)), MAFLD (16+(30)), NASH (16+(47)) | Yes | RT-PCR | 122,192,375 (NASH),122 (Fib) | Pirola et al., 2015[ | |
| Control group (n=61), MAFLD (n=50), NASH (n=87) | Yes | qRT-PCR | 122,192,21 (NASH) | Becker et al., 2015[ | |
| Control group (n=12), MAFLD (n=25) | No | qRT-PCR | 21 (MAFLD) | Sun et al., 2015[ | |
| Control group (n=37), MAFLD (n=17), NASH (n=31) | Yes | qRT-PCR | 122,192,34a (NASH), 16,21,146 (MAFLD) | Liu et al., 2016[ | |
| Control group (n=62), NALFD (n=18) | No | RT-PCR | 122,34a (MAFLD) | 331-3p,30c (MAFLD) | Zarrinpar et al., 2016[ |
| Control group (n=28), MAFLD (n=36) | Yes | qRT-PCR | 122,34a (MAFLD) | Salvoza et al., 2016[ | |
| MAFLD (n=305) | Yes | TaqMan Micro-RNA assays | 122 (steatosis, inf., ballooning and fib.) | Akuta et al., 2016[ | |
| Control group (n=31), MAFLD (n=27), NASH (n= 34) | Yes | RT-PCR | 122 (NASH) | Auguet et al., 2016[ | |
| Control group (n=10), MAFLD (n=12), NASH (n=11), cirrhosis (n=3) | Yes | RT-PCR | miR-301a-3p and miR-34a-5p | 375 | Guo et al., 2016[ |
| Control group (n=19), borderline (n=24), MAFLD (17), | No | RT-PCR | 146-5p | 139-5p, 30b-5p, 122-5p, 422a | Latorre et al., 2017[ |
| Control group (n=10), MAFLD (n=44) | Yes | RT-PCR | 22,29a (NASH), 663a (MAFLD) | López-Riera et al., 2017[ | |
| Control group (n=17), MAFLD (n=46), NASH (n=50), fibrosis (n=29) | Yes | RT-PCR | 34a-5p,27b-3p,22-3p,122-5p, 192-5p (MAFLD and NASH) | 30c-5p, 16-5p, 197-3p (MAFLD) | López-Riera et al., 2018[ |
MAFLD: Metabolic-associated fatty liver disease; MiRNA: Micro RNA; NASH: Non-alcoholic steatohepatitis; PCR: Polymerase chain reaction; qRT-PCR: Quantitative real-time PCR; RT-PCR: Real-time PCR.
Possible microRNA pathways in metabolic-associated fatty liver disease
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| miRNA-122[ | Lipid metabolism (cholesterol, VLDL, TG, HMGCR), carcinogenesis |
| miRNA -10b[ | Lipid metabolism (PPAR-α) |
| miRNA -33[ | ABCA1 transport, ABCG1, Niemann Pick (NP) -C1, insulin signal pathway |
| miRNA -34[ | AMPK phosphorylation, miR-34a/SIRT1/p53 activation, MAFLD progression, lipid metabolism |
| miRNA -192[ | MAFLD progression |
| miRNA -214-5p[ | MAFLD progression |
| miRNA -27a/b[ | Lipid metabolism |
| miRNA -24[ | Lipid metabolism (Insig1) |
| miRNA -451[ | Inflammation |
| miRNA -1290, miRNA -27b-3p[ | Variable |
| miRNA -192-5p[ | Lipid metabolism (SCD-1) |
| miRNA -103/107[ | PANK1-3, lipid metabolism, development of insulin resistance, PPAR-α, caveolin-1 |
| miRNA -155[ | Inflammation and liver injury, SREBP-lc, LXRα - lipid metabolism |
| miRNA -29[ | SIRT1, HMGCR, LPL |
| miRNA -467b[ | LDL metabolism |
| miRNA -143[ | FABP4, SLC2A4, PPARγ, and LIPE |
ABCA1: member 1 of human transporter sub-family ABCA; ABCG1: Adenosine 5’-triphosphate-binding cassette subfamily G member 1; AMPK: Adenosine monophosphate-activated protein kinase; FABP4: Fatty acid-binding protein 4; HDL: High-density lipoprotein; HMGCR: 3-hydroxy-3-methyl-glutarylcoenzyme A reductase; LDL: Low-density lipoprotein; LIPE: Hormone-sensitive lipase; LPL: Lipoprotein lipase; LXRα: Liver X receptor R-alpha; MAFLD: Metabolic-associated fatty liver disease; MiRNA: MicroRNA; NP-C1: Niemann Pick-C1; PANK1-3: Pantothenate kinase 1-3; PPAR-α: Peroxisome proliferator-activated receptor-alpha; PPARγ: Peroxisome proliferator-activated receptor γ; SCD-1: Stearoyl-CoA desaturase 1; SIRT-1: Sirtuin-1; SLC2A4: Solute carrier family 2, facilitated glucose transporter member 4; SREBP-lc: Sterol regulatory element-binding transcription factor 1; TG: Triglycerides; VLDL: Very-low-density lipoprotein.
Figure 2.Possible effects of polyphenols on MAFLD-associated miRNAs.
MAFLD: Metabolic-associated fatty liver disease; MiRNA: MicroRNA.
Summary of in vitro and in vivo studies
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| Human hepG2 cells, 3.125, 6.25, 12.5, 25 and 50 μg/ml, 72 h | Ellagitannins | qRT-PCR | hsa-let-7e, hsa-miRNA-370,hsa-miRNA-373 and hsa-miRNA-526b | hsa-let-7a, hsa-let-7c and hsa-let-7d | Wen et al., 2009[ |
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| Human hepG2 cells, 50 mg/L of EGCG, 100 mg/L of GSPE or 100 mg/L of CPE, 5 h | GSPE, CPE or EGCG | qRT-PCR | miRNA-1224-3p, miR-197 and miR-532-3p (GSPE or CPE) | miRNA-30b (GSPE, CPE, EGCG) | Arola-Arnal et al., 2011[ |
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| 3T3-L1 maturing pre-adipocytes, 25 μM, 8 days | Resveratrol | RT-PCR | miRNA-155 | Eseberri et al., 2017[ | |
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| Human pre-adipocytes, 25 µmol/L, 6 h | Extra-virgin olive oil polyphenols | qPCR | Let-7c | miRNA-155, miRNA-34a | Carpi et al., 2019[ |
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| FAO cells, 25 mg/L for 5 h | GSP | qRT-PCR | miRNA-122, miRNA-33 | Baselga-Escudero et al., 2012[ | |
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| Human hepG2 cells, 0.02, 0.2, 2 and 20 μg/mL, 24 h | EGCG | qRT-PCR | miRNA-221, miRNA-181°, miRNA-10b | Arffra et al., 2016[ | |
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| Male Sprague Dawley rats, 20mg/kg, 16 weeks | Green tea | ||||
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| 3T3-L1 maturing pre-adipocytes, 25 μM, 24 h | Curcumin | RT-PCR | miRNA-17-5p | Tian et al., 2017[ | |
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| Male C57BL/6 mice, 2-10 μM, 7 days | |||||
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| Male C57BL/6J mice, 0.5 to 1.0% CPP, 15 weeks | Coffee polyphenols | RT-PCR | miRNA-122 | Murase et al., 2011[ | |
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| Female C57BL/6J mice, 0, 0.2 or 2 mg/g, 6 weeks | Quercetin | RT-PCR | miRNA-122 miRNA-125b | Boesch-Saadatmandi et al., 2012[ | |
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| C57B6/J mice or apoE2/2 mice, 0.006% of the diet, 8 weeks | Quercetin, hesperidin, naringenin, anthocyanin, catechin, curcumin, proanthocyanin, caffeic acid, and ferulic acid | qRT-PCR | 291b-5p, mmu-miRNA-296-5p | mmu-miRNA-30c-1, mmu-miRNA-467b and mmu-miRNA-374 | Milenkovic et al., 2012[ |
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| Male mice deficient in LDL receptor in a C57BL/6J, high dose, 10 weeks | Quercetin | qRT-PCR | miRNA-103, miRNA-107, miRNA-122 | Joven et al., 2012[ | |
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| Male Sprague-Dawley rats, 30 mg/kg, 6 weeks | Resveratrol | RT-PCR | miRNA-103-3p, miRNA-107-3p, miRNA-122-5p | Gracia et al., 2017[ | |
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| Mice, 500 mg/kg, 12 weeks | Green tea | qRT-PCR | miRNA-335 | Otton et al., 2018[ |
CPE: Cocoa proanthocyanidin extract; EGCG: Pure epigallocatechin gallate isolated from green tea; FAO: A rat hepatoma cell line; GSP: Grape seed proanthocyanidin; GSPE: Grape seed proanthocyanidin extract; MiRNA: MicroRNA; PCR: Polymerase chain reaction; qPCR: Real-time quantitative polymerase chain reaction; qRT-PCR: Quantitative real-time PCR; RT-PCR: Real-time PCR.