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©2014 Baishideng Publishing Group Inc.
World J Gastroenterol. Aug 21, 2014; 20(31): 10851-10863
Published online Aug 21, 2014. doi: 10.3748/wjg.v20.i31.10851
Published online Aug 21, 2014. doi: 10.3748/wjg.v20.i31.10851
Table 1 Biomarkers for the diagnosis of nonalcoholic steatohepatitis (vs simple steatosis)
Biomarkers | Study description | Results | Ref. |
Simple markers | Adults: 97 obese patients undergoing bariatric surgery, 35 had NASH | Algorithm using AST and presence of T2DM, AUC of 0.82 for prediction of NASH | [55] |
Adults: 80 NAFLD; 39 SS, 41 NASH | Score using age, gender, AST, BMI, Hyaluronic acid, AST: ALT ratio. AUROC for NASH of 0.76 | [56] | |
Adults: 200 patients undergoing bariatric surgery. 64 had NASH | AUROC for NASH: 0.8 using a score composed of Hypertension, Diabetes, AST > 27, ALT > 27, Sleep apnoea, non-black race | [53] | |
Adults: 80 NAFLD; 39 SS, 41 NASH | Score using age, gender, AST, BMI, Hyaluronic acid, AST: ALT ratio. AUROC for NASH of 0.76 | [56] | |
Inflammation | Adults: 57 NASH, 17 SS, 10 controls | AUROC NASH with HOMA-IR and Adiponectin/Leptin ratio: 0.82 | [32] |
Adults: 26 NASH, 19 SS; 38 obese, 12 controls | TNF-α, IL8, Age, ALT higher in NAFLD; TNF-α predictor | [27] | |
Adults: 20 NAFLD, 30 obese | Insulin resistance, ferritin, glutathione peroxidase, higher in NAFLD than obese | [23] | |
Adults: 80 NASH, 29 simple steatosis | Lower Adiponectin, higher TNF-α, higher IR in NASH vs controls | [30] | |
Lower Adiponectin, higher HOMA-IR in NASH vs SS | |||
Paediatric: 36 training and 36 validation NAFLD | AUROC for Adiponectin/HOMA-IR as predictors of NASH: 0.79 AUROC for NASH using TNF-α was 0.91, Leptin: 0.8 combined: 0.96 | [29] | |
Adults: 23 NASH, 21 SS, 18 controls | IL6 and TNF-α, TNFR1 higher in those with NASH vs rest TNF-α, CCL2/MCP-1 higher and Adiponectin lower in NASH | [35] | |
Adults: 22 SS, 25 NASH, 30 controls | [28] | ||
Adults: 28 NAFLD, 33 controls, 30 obese | Resistin linked to NAFLD severity, but not adiponectin, leptin or IR | [33] | |
Paediatric: 59 NAFLD | RBP-4 levels inverse relationship with NASH | [57] | |
Algorithms | |||
NASH test | 257 patients (17% NASH) and 383 controls | AUROC 0.79 for NASH. 13 variables: Age, Sex, Weight Height, TG, cholesterol, α2-macroglobulin, ApoA1, Haptoglobin, AST, ALT, γGT, bilirubin | [58] |
NASH Diagnostics | Adults: 101 NAFLD, 69 test, (32% NASH) 32 validation | AUROC 0.91 for prediction of NASH. Sensitivity 96%, specificity70% with combination of CK18-M65, CK18-M30, resistin and adiponectin | [44] |
NAFIC score | Adult Japanese patients with NAFLD | AUROC for NASH in test group 0.85. AUROC for NASH in validation group 0.78. Variables: Ferritin, fasting insulin, type IV collagen S | [59] |
177 test group (95 NASH), 442 validation group | |||
Nice model | Adults: 454 obese, 310 test, 154 validation | Model: AUROC for prediction of NASH 0.88 in test and 0.83 in validation set Algorithm: CK18-M30, ALT, presence of MS Combination of Insulin resistance, Hypertension and ALT gives sensitivity of 80% and specificity of 89% in prediction of NASH | [60] |
HAIR | Adults: 105 obese patients undergoing bariatric surgery, including 26 with NASH | [50] |
- Citation: Fitzpatrick E, Dhawan A. Noninvasive biomarkers in non-alcoholic fatty liver disease: Current status and a glimpse of the future. World J Gastroenterol 2014; 20(31): 10851-10863
- URL: https://www.wjgnet.com/1007-9327/full/v20/i31/10851.htm
- DOI: https://dx.doi.org/10.3748/wjg.v20.i31.10851