| Literature DB >> 30828530 |
Yao Yu1,2, Jingjing Cai1,2, Zhigang She1,2, Hongliang Li1,2.
Abstract
Nonalcoholic fatty liver disease (NAFLD) is the most common liver disease which affects ≈25% of the adult population worldwide, placing a tremendous burden on human health. The disease spectrum ranges from simple steatosis to steatohepatitis, fibrosis, and ultimately, cirrhosis and carcinoma, which are becoming leading reasons for liver transplantation. NAFLD is a complex multifactorial disease involving myriad genetic, metabolic, and environmental factors; it is closely associated with insulin resistance, metabolic syndrome, obesity, diabetes, and many other diseases. Over the past few decades, countless studies focusing on the investigation of noninvasive diagnosis, pathogenesis, and therapeutics have revealed different aspects of the mechanism and progression of NAFLD. However, effective pharmaceuticals are still in development. Here, the current epidemiology, diagnosis, animal models, pathogenesis, and treatment strategies for NAFLD are comprehensively reviewed, emphasizing the outstanding breakthroughs in the above fields and promising medications in and beyond phase II.Entities:
Keywords: diagnosis; epidemiology; nonalcoholic fatty liver disease (NAFLD); pathogenesis; treatments
Year: 2018 PMID: 30828530 PMCID: PMC6382298 DOI: 10.1002/advs.201801585
Source DB: PubMed Journal: Adv Sci (Weinh) ISSN: 2198-3844 Impact factor: 16.806
Figure 1Risk factors of NAFLD. NAFLD is a complex and multifactorial disease; myriad of factors including environmental factors, gut microbiota, insulin resistance, obesity, as well as genetic and epigenetic factors are all implicated in the pathogenesis of the disease. HFD, high‐fat diet.
Comparison of imaging tools for the diagnosis of NAFLD. TAG, triglycerides; VCTE, vibration control transient elastography; ARFI, acoustic radiation force impulse; SWE, shear wave elastography; MRE, magnetic resonance elastography; CT, computed tomography; MRI, magnetic resonance imaging
| Methods | Cost | Accuracy | Quantification | Sensitivity | Application | Limitation |
|---|---|---|---|---|---|---|
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| + | + | No | Decrease with obesity | Screening tool, inexpensive | Operator dependent, low sensitivity, |
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| VCTE | + | ++ | Yes | High | Specific for liver, fast acquisition, advanced fibrosis and cirrhosis, immediate results; XL probe for overweight patients | Disable to tell fibrosis stage, not reliable in severely obese patients |
| ARFI | ++ | ++ | Yes | High | Specific for liver, fast acquisition, advanced fibrosis and cirrhosis, immediate results | Operator dependent; limited data, narrow range |
| SWE | ++ | ++ | Yes | High | Operator dependent | |
| MRE | +++ | +++ | Yes | High | Not affected by obesity | High cost, time consuming, not suitable for patients with implantable devices |
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| ++ | ++ | Semi | Low | / | Radiation exposure |
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| +++ | ++ | Yes | High | Gold standard for TAG evaluation | Operator dependent, long imaging time, limited availability |
Score systems for NAFLD. AUROC, area under receiver operating characteristics curve; BMI, body mass index; WC, waist circumference; TAG, triglyceride; GGT, gamma‐glutamyl transpeptidase; T2DM, type 2 diabetes mellitus; AST, aspartate transaminase; ALT, Alanine transaminase; DM, diabetes; MetS, Metabolism syndrome; HDL, high density lipoproteins; WBC, white blood cells; BG, fasting blood glucose, BIL, total bilirubin; CV mortality, cardiovascular mortality; HCV, hepatitis C virus
| Score system | Description | Reproducibility | AUROC | Application | Limitation | Refs |
|---|---|---|---|---|---|---|
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| Fatty liver index | BMI, WC, TAG, GGT | + | 0.84 | High applicability and commonly used in clinical and laboratory | Modest accuracy, complex formula |
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| The liver fat score | MetS, T2DM, fS‐insulin, fS‐AST, AST: ALT ratio | + | 0.86–0.87 |
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| Hepatic steatosis index | BMI, AST: ALT ratio, gender, DM | + | 0.81 | Suboptimal gold standard | Cannot distinguish steatosis stage |
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| SteatoTest | BMI, glucose, TAG, cholesterol, ALT, GGT | + | 0.79–0.80 | Sensitive, uncommon used | High cost, modest specificity |
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| NAFLD ridge score | ALT, HDL‐C, TAG, WBC, hypertension, HbA1c | + | 0.87 | Limited to research setting | Low positive prediction values |
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| FIB‐4 | Age, AST, ALT, platelet count | Not tested | 0.80 for F3 fibrosis | Predicts all cause and CV mortality, liver‐related events | Modest responsiveness |
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| BARD score | AST, ALT, BMI, diabetes | Not tested | 0.69–0.81 for F3 fibrosis | Predicts liver‐related events | BMI is various in different ethnic groups |
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| NAFLD fibrosis score | Age, BMI, AST, ALT, platelet count, diabetes, albumin, BG | Not tested | 0.84 | Predicts liver‐related events, all cause and CV mortality | BMI interpretation not independent with ethnic group |
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| HepaScore | Age, gender, HA, BIL, GGT, α2‐macroglobulin | NA | 0.81 | Developed in HCV | Cannot distinguish fibrosis stage |
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| FibroTest | GGT, BIL, haptoglobin, apoAI and α2‐macroglobulin | + | 0.81 | Predicts overall mortality, accurate in obese patients | Suboptimal gold standard for early‐stage fibrosis |
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Animal models for the NAFLD. “+” means with the phenotype, “−” means without the phenotype. IR, insulin resistance; MCD, methionine‐ and choline‐deficient diet; CDAA, choline‐deficient L amino‐defined diet
| Method | Phenotype | Advantages | Disadvantages | |||||
|---|---|---|---|---|---|---|---|---|
| IR | Obesity | Steatosis | Steatohepatitis | Fibrosis | ||||
| Diet‐induced | ||||||||
| High fructose | + | + | + | − | − | Includes MetS features | No spontaneous inflammation and fibrosis | |
| High fat | + | + | + | + | + | Mimic human NAFLD | / | |
| MCD | − | Weight loss | + | + | + | Imitate human NASH | Lose weight/cachectic, without features of MetS | |
| CDAA | − | Weight loss | + | + | + | Best to mimic human NAFLD | Not mimic the pathogenesis of human NAFLD | |
| Genetic manipulations | ||||||||
| ob/ob mouse | + | + | + | − | − | Includes MetS features | Need a second hit to NASH and fibrosis | |
| db/db mouse | Glucose intolerence | + | + | − | − | |||
Figure 2Signaling involved in the inflammation, metabolism, cell death, and fibrogenesis process of NAFLD. DAMP, danger‐associated molecular patterns; PAMP, pathogen‐associated molecular patterns; TLRs, Toll‐like receptors; RAGE, receptor for advanced glycation end‐products; SR, scavenger receptor; TIRAP, TIR domain‐containing adaptor protein; TRAM, TRIF‐related adaptor molecule; MyD88, myeloid differentiation factor 88; TRIF, TIR‐domain‐containing adaptor‐inducing interferon‐β; MAPK, mitogen‐activated protein kinase; JNK, Jun N‐terminal kinase; ERK, extracellular signal‐regulated kinase; IRF, interferon regulatory factor; MKK, MAPK kinase; ASK1, apoptosis signal‐regulating kinase 1; TAK1, TGFβ‐activated kinase 1; PPAR, peroxisome proliferator‐activated receptors; AMPK, 5′ adenosine monophosphate‐activated protein kinase; IFN, interferon; ER, endoplasmic reticulum; FFA, free fatty acids; ROS, reactive oxygen species; TCA, tricarboxylic acid cycle; PERK, protein kinase R‐like ER kinase; XBP1, X‐box‐binding protein 1; TNF, tumor necrosis factor; IL, interleukin; TFs, transcription factors; PDGF, platelet‐derived growth factor; MCP‐1, monocyte chemoattractant protein‐1; MMP, matrix metalloproteinase; MLKL, mixed lineage kinase domain‐like protein; RIPK, receptor‐interacting proteins kinase; MPT, mitochondrial permeability transition.
Promising medications for NAFLD. NIDDK, National Institute of Diabetes and Digestive and Kidney Diseases; FXR, farnesoid X receptors; PPAR, peroxisome proliferator‐activated receptors; SCD‐1, stearoyl‐CoA desaturase‐1; ACC, acetyl‐CoA carboxylase; GLP, glucagonlike peptide; LPS, lipopolysaccharide; PDE, phosphodiesterase; CCR, C‐C chemokine receptor; ASK1, apoptosis signal‐regulating kinase 1; LOXL2, lysil oxidase homologue 2
| Drugs | Developer | Mechanism | Highest phase | Clinical trial number | Primary outcomes & limitations |
|---|---|---|---|---|---|
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| INT‐747 (Obeticholic acid) | Intercept Pharmaceuticals | FXR agonist | Phase III | NCT02548351 | Fibrosis improvement, side effect, pruritic |
| Pioglitatone | NIDDK | PPAR γ agonist | Phase III | NCT00063622 | Improvement of steatosis, ballooning and inflammation, weight loss |
| GFT 505 (Elafibranor) | Genfit | PPAR α/σ agonist | Phase III | NCT02704403 | Resolution of NASH without worsening fibrosis |
| saroglitazar | Zydus Discovery | PPAR α/γ agonist | Phase III | NCT03061721 | Change in ALT level |
| Aramchol | Galmed Pharmaceuticals | SCD‐1 inhibitor | Phase III | NCT02279524 | Improvement in fat |
| LJN 452 | Novartis Pharmaceuticals | FXR agonist | Phase II | NCT02855164 | Change in transaminases |
| GS 0976 | Gilead Science | ACC inhibitor | Phase II | NCT02856555 | Safety, efficacy, tolerability |
| MGL‐3196 | Madrigal Pharmaceuticals | THR‐β agonist | Phase II | NCT02912260 | Improvement in liver fat |
| Metformin | NIDDK | / | Phase III | NCT00063635 | No improvement on histological, gastrointestinal side effect |
| Liraglutide | Novo Nordisk | GLP‐1 agonists | Phase II | NCT01237119 | Improve IR and ALT level |
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| orlistat | / | Intestinal lipase inhibitor | Phase II | NCT00160407 | Improvement in liver fat |
| IMM 124e | Immuron | Anti‐LPS | Phase II | NCT02316717 | Improvement in liver fat |
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| Vitamin E | / | Antioxidation | Phase III | NCT00063635 | Improvement in liver fat |
| pentoxifyline | / | PDE inhibitor | Phase II | NCT00590161 | Improvement in liver fat |
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| TBR‐652 (Cenicriviroc) | Allergan | CCR2/5 antagonist | Phase II | NCT03028740 | Fibrosis improvement |
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| GS 4997 (Selonsertib) | Gilead Science | ASK1 inhibitor | Phase III | NCT03053050 | Fibrosis improvement |
| IDN 6556 (Emricasan) | Conatus Pharmaceuticals | Caspase inbibitor | Phase II | NCT02686762 | Fibrosis improvement |
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| GR‐MD‐02 | Galectin Therapeutics | Galectin 3 inhibitor | Phase II | NCT02462967 | Improvement in HVPG |
| GS 6624 (Simtuzumab) | Gilead Science | LOXL2 inhibitor | Phase IIb | NCT01672866 | Fibrosis improvement |
| MN‐001 (tipelukast) | MediciNova | Leukotriene receptor antagonist | Phase II | NCT02681055 | Decreasing TAG level |