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©2006 Baishideng Publishing Group Co.
World J Gastroenterol. Jun 21, 2006; 12(23): 3682-3694
Published online Jun 21, 2006. doi: 10.3748/wjg.v12.i23.3682
Published online Jun 21, 2006. doi: 10.3748/wjg.v12.i23.3682
Table 1 METAVIR scoring system for liver fibrosis
Stage | Description |
F0 | No fibrosis |
F1 | Portal fibrosis without septa |
F2 | Portal fibrosis with few septa |
F3 | Septal fibrosis without cirrhosis |
F4 | Cirrhosis |
Table 2 Gene polymorphisms described as involved in fibrogenesis
Author | Etiologyof liver disease | Gene | Function ofthe gene product | Implicatedgenotype | Effect ongene product | Effecton fibrosis |
Powell[39] | HCV | TGF-β1 | Profibrogenic | Codon 25 (pro/arg) | Increased transcription | Increased |
Powell[39] Forrest[40] | HCV | AT | Profibrogenic | -6 G/A | Increased transcription | Discordant results |
Bonkovsky[41] Negro[42] Chitturi[43] Geier[44] | HCV / NASH | HFE | Iron metabolism | C282Y, H63D | Iron overload | Discordant results |
Yee[45] Grove[46] | HCV /AFLD | TNF-β | Proinflammatory | -308 G/A | Increased transcription | Increased |
Grove[47] Knapp[48] | HCV / AFLD | IL-10 | Immune modulation | -1082 A/A; -627 C/A | Decreased transcription | Increased |
Reynolds[49] | HCV | MPO | Battericide | -463 G/A | Increased transcription | Increased |
Wozniak[50] | HCV | ApoE | Viral entry to cells | E4 allele | Abnormal function | Reduced |
Muhlbauer[51] | HCV | MCP-1 | Proinflammatory | -2518 G/A | Increased transcription | Increased |
Wright[52] | HCV | Factor V Leiden | Thrombine generation | Codon 560 (arg/gln) | Resistance to activation | Increased |
Romero-Gomez[53] | HCV | SLC11A1 | Macrophage function | Homozygosity (GT)5AC(GT)10G (Allele 2) in the promoter region | Poor promoter | Reduced |
Adinolfi[54] | HCV | MTHFR | Folate metabolism | C677T | HyperHC | Increased |
Okamoto[55] | HCV | MMP | Matrix degradation | 1G/2G (MMP-1), 5A/6A (MMP-3), C/T (MMP-9) | Reduced transcription | More frequent in cirrhosis than CHC |
Yamauchi[56] Okamoto[57] Frenzer[58] | AFLD | CYP2E1 | Ethanol metabolism | c1/c1, c2/c2 alleles | Increased activity | Discordant results |
Yamauchi[56] Frenzer[58] | AFLD | ADH | Ethanol metabolism | ADH2 c1,c2,c3 alleles; ADH3 c1, c2, c3 alleles | Abnormal function | Discordant results |
Yamauchi[56] Okamoto[57] | AFLD | ALDH | Ethanol metabolism | ALDH2 c2/c2 alleles | Abnormal function | Discordant results |
Burim[59] | AFLD | CYP1A1 | Ethanol metabolism | m2/m2 allele | Increased activity | Increased |
Dixon[60] | NAFLD | AT and TGF-β | Profibrogenic | High AT and TGF- β1 producing polymorphisms | Increased activity | Increased |
Table 3 Features of the ideal marker of liver fibrosis
Specific for fibrosis of the liver |
Providing measurement of: A) stage of fibrosis, B) fibrogenesis activity |
Not influenced by comorbidities (e.g. renal, reticulo-endothelial) |
Known half-life |
Known excretion route |
Sensitive |
Reproducible |
Table 4 Direct non invasive markers of liver fibrosis
Author | Liver disease | Marker | Characteristics | Pathophisiology |
McHutchison[61] Murawaki[62] Halfon[63] Pares[64] Suzuki[65] Naveau[66] Santos[67] Montazeri[68] | HCV, AFLD, NAFLD, HBV | Hyaluronic acid | Component of the ECM in every tissue | Synthesized by HSCs and degraded by sinusoidal endothelial cells |
Santos[67] Walsh[69] | HCV, NAFLD | Laminin | Co-expressed with type IV collagen in basement membranes | Increased deposition in viral disease |
Tran[70] Saitou[71] | AFLD, HCV | YKL-40 | Human cartilage glicoprotein | Involved in remodelling and degradation of ECM |
Sakugawa[72] Murawaki[73] Walsh[69] Saitou[71] Santos[67] | HCV, NAFLD | Type IV collagen/ 7s domain | Main collagen component of the basement membrane | Increase with severity of liver fibrosis |
Guechot[74] Pares[64] | HCV, AFLD | Procollagen III | Propeptide | Released during matrix deposition and remodelling |
Boeker[75] Murawaki[62] | HCV | MMP-2 | Collagenase | Correlates with fibrosis |
Boeker[75] | HCV | TIMP-1 | Metalloproteinase | Inhibitor of collagenase |
Patel[76] | HCV | Three-marker panel | Combination of hyaluronic acid, TIMP-1, α2M | Better accuracy by combined markers |
Table 6 Diagnostic performance of non invasive markers of liver fibrosis in discriminating between no-mild fibrosis (F0-F1 by METAVIR) and moderate-advanced fibrosis (F ≥ 2 by METAVIR)
Marker | Disease | Sensitivity | Specificity | AUC | References |
Direct markers of liver fibrosis | |||||
Hyaluronic acid | HCV | 75-79 | 80-100 | 0.82-0.92 | [61-62] [69,74] |
HBV | 91 | 98.1 | 0.98 | [68] | |
AFLD | 87 | 93 | 0.79-0.91 | [64,66] | |
NAFLD | 66-85 | 68-91 | 0.78-0.87 | [65,67] [72] | |
Laminin | HCV | 80 | 83 | 0.82 | [69,81] |
NAFLD | 82 | 89 | n.a. | [67] | |
YKL-40 | AFLD | 88.5 | 50.8 | n.a. | [70] |
HCV | 78 | 81 | 0.81 | [71] | |
Type IV collagen | HCV | 73-80 | 81-85 | 0.83 | [69,73] |
NAFLD | 64 | 89 | n.a. | [67] | |
Type IV collagen-7s | HCV | 74-83 | 75-88 | n.a. | [73] |
NAFLD | 70 | 81 | 0.83 | [72] | |
Procollagen III | HCV | 60-78 | 74-75 | 0.69 | [71,74] |
AFLD | 80 | 87 | 0.87 | [64] | |
MMP-2 | HCV | 7-75 | 70-100 | 0.59 | [62,75] |
TIMP-1 | HCV | 67 | 68 | 0.71 | [75] |
Three marker panel | HCV | 77 | 73 | 0.83 | [76] |
Indirect markers of liver fibrosis | |||||
APRI | HCV | 41-91 | 47-95 | 0.69-0.88 | [86,95-97] |
HIV/HCV | 51 | 91 | 0.8 | [87] | |
Forns’ index | HCV | 79.8-94 | 95-98.3 | 0.78-0.86 | [88,98] [99,97] |
HIV/HCV | 43 | 96 | 0.77 | [87] | |
Fibrotest | HCV | 65-87 | 59-80.6 | 0.74-0.87 | [90,97] |
[100,101] | |||||
HIV/HCV | 90 | 60 | 0.85 | [91] | |
HBV | 34 | 93 | 0.78 | [92] | |
AFLD | 88 | 60 | 0.84 | [66] | |
FPI | HCV | 85-96 | 94-98 | 0.77 | [93] |
Table 7 Diagnostic performance of non invasive markers of liver fibrosis in detecting cirrhosis
Marker | Disease | Sensitivity | Specificity | AUC | References |
Direct markers of liver fibrosis | |||||
Hyaluronic acid | HCV | 80-100 | 79-89.4 | 0.85-0.92 | [61,63] [71,74] |
AFLD | 99 | 80 | 0.93 | [66] | |
NAFLD | n.a. | n.a. | 0.92 | [65] | |
YKL-40 | HCV | 80 | 71 | 0.79 | [71] |
Type IV collagen | HCV | 60 | 61 | n.a. | [71,73] |
Procollagen III | HCV | 60-77 | 66-74 | 0.73 | [71,74] |
MMP-2 | HCV | 74-83 | 96-100 | 0.97 | [75] |
TIMP-1 | HCV | 100 | 56-75 | 0.9 | [75] |
Indirect markers of liver fibrosis | |||||
AAR | HCV | 47-81.3 | 55.3-97 | [85,102] [96] | |
HIV/HCV | 38 | 77 | 0.6 | [87] | |
APRI | HCV | 38.4-57 | 86.7-93 | 0.61-0.94 | [86,95-97] |
HIV/HCV | 53 | 89 | 0.79 | [87] | |
GUCI | HCV | 80 | 78 | 0.85 | [89] |
Fibrotest | HCV | 13-50 | 91-98 | 0.71-0.87 | [90,97] |
[100,101] | |||||
HIV/HCV | 100 | 65 | 0.87 | [91] | |
HBV | 18 | 99 | 0.78 | [92] | |
AFLD | 99 | 83 | 0.95 | [66] | |
Glycocirrho test | Most HCV | 79 | 86 | 0.87 | [94] |
Table 5 Indirect non invasive markers of liver fibrosis
Authors | Liver disease | Biomarker | Description | Rationale |
Giannini[85] | HCV, NAFLD | AAR | AST to ALT ratio | AST and ALT levels increase with progressive fibrosis |
Wai[86] Macias[87] | HCV, HIV/HCV | APRI | AST to platelet ratio | Statistical association with liver fibrosis |
Forns[88] Macias[87] | HCV, HIV/HCV | Forns’ index | Combination of age, platelet, γGT, cholesterol | Statistical association with liver fibrosis |
Islam[89] | HCV | GUCI | Combination of AST, INR, platelet | Statistical association with liver fibrosis |
Imbert-Bismut[90] Myers[91] Myers[92] Naveau[66] | HCV, HIV/HCV, HBV, AFLD | Fibrotest | Combination of α2M, ApoA1, bilirubin, γGT, haptoglobin | Statistical association with liver fibrosis |
Sud[93] | HCV | FPI | Combination of HOMA-IR, age, cholesterol, AST, alcohol intake | Statistical association with liver fibrosis |
Callewaert[94] | CLDs (mostly HCV) | Glycocirrho test | Profiles of serum protein N-glycans | Glycoproteins are produced mainly by hepatocytes |
Table 8 Diagnostic performance of APRI, Forns’ index, Fibrotest and of sequential algorithms combining the three markers in patients with chronic hepatitis C
Sensitivity (%) | Specificity (%) | PPV (%) | NPV (%) | Accuracy (%) | AUC | Classified patients(%) | |
Detection of significant fibrosis in chronic hepatitis C with elevated ALT | |||||||
APRI | 29.7 | 93.8 | 95.7 | 52.7 | 60.2 | 0.69 | 54.1 |
Fibrotest | 65 | 80.6 | 80 | 66.7 | 72.6 | 0.81 | 100 |
Forns | 24.3 | 98.3 | 94.7 | 50.9 | 57.1 | 0.79 | 55.5 |
Sequential algorithm | 100 | 83.8 | 92.7 | 100 | 94.2 | n.a. | 100 |
Detection of significant fibrosis in chronic hepatitis C with PNALT | |||||||
APRI | 26.9 | 100 | 100 | 56.8 | 62.7 | 0.77 | 74 |
Fibrotest | 58.3 | 91.3 | 77.7 | 80.7 | 80 | 0.71 | 100 |
Forns | 11.5 | 100 | 100 | 52.1 | 54.9 | 0.58 | 56 |
Sequential algorithm | 100 | 87.5 | 94.3 | 100 | 96.3 | n.a. | 100 |
Detection of cirrhosis in chronic hepatitis C | |||||||
APRI | 38.4 | 86.7 | 38.5 | 86.7 | 78.1 | 0.61 | 54.1 |
Fibrotest | 50 | 92.9 | 57.9 | 90.5 | 85.9 | 0.71 | 100 |
Sequential algorithm | 94.6 | 95.1 | 78.3 | 99.1 | 95.5 | n.a. | 100 |
- Citation: Sebastiani G, Alberti A. Non invasive fibrosis biomarkers reduce but not substitute the need for liver biopsy. World J Gastroenterol 2006; 12(23): 3682-3694
- URL: https://www.wjgnet.com/1007-9327/full/v12/i23/3682.htm
- DOI: https://dx.doi.org/10.3748/wjg.v12.i23.3682