| Literature DB >> 26816590 |
Mona M Zoheiry1, Shaimaa Aa Hasan1, Eman El-Ahwany1, Faten M Nagy1, Hoda Abu Taleb2, Mona Nosseir3, Mona Magdy3, Safa Meshaal4, Mohamed Darwish El-Talkawy5, Inas Raafat4.
Abstract
INTRODUCTION: Hepatitis C virus (HCV) is a major cause of chronic liver disease in Egypt, leading to hepatic fibrosis, liver cirrhosis (LC), and hepatocellular carcinoma (HCC). Liver fibrosis is characterized by excessive deposition of extracellular matrix (ECM). Newly-recognized pathogenic mechanisms point to the epithelial-mesenchymal transition (EMT) of hepatocytes to matrix synthesizing (myo-) fibroblasts. Transforming growth factor-beta (TGF-β1), bone morphogenic protein (BMP)-7, and connective tissue growth factor (CTGF) are biomarkers reflecting the EMT process. YKL-40 is a glycoprotein member of ECM and plays a role in cancer cell proliferation. The purpose of this study was to determine the serum biomarkers of EMT and its impact on the fibrogenic process and tumorigenesis in HCV-genotype 4 patients.Entities:
Keywords: Bone Morphogenic Protein (BMP)-7; Connective Tissue Growth Factor (CTGF); Liver Fibrosis; Transforming Growth Factor-Beta (TGF-β); YKL-40
Year: 2015 PMID: 26816590 PMCID: PMC4725417 DOI: 10.19082/1626
Source DB: PubMed Journal: Electron Physician ISSN: 2008-5842
Figure 1HCV-induced hepatic fibrosis: a) F0 (masson trichrome × 200), b) F1 (H&E ×200), c) F2 (masson ×40). d) F3 (H&Ex200), e) Cirrhosis (F4) (masson trichrome ×100), and f) hepatocellular carcinoma (H&Ex100)
Clinical and laboratory data of all studied cases
| Variables | Controls (n=15) | CHC without cirrhosis (n=64) | CHC with cirrhosis (n=22) | HCV-induced HCC (n=11) | |
|---|---|---|---|---|---|
| Age | 45.0 ± 7.5 | 47.4 ± 9.3 | 51.3 ± 5.9 | 48.9 ± 7.2 | |
| Gender (M:F) | 3:2 | 3:1 | 6:5 | 7:4 | |
| Clinical findings: n (%) | Pallor | 0 (0) | 2 (3.1%) | 5 (22.7%) | 6 (54.5%) |
| Jaundice | 0 (0) | 4 (6.3%) | 6 (27.3%) | 8 (72.8%) | |
| Palmar erythema | 0 (0) | 0 (0) | 15 (68.2%) | 9 (81.2%) | |
| Spider nevi | 0 (0) | 0 (0) | 13 (59.1%) | 9 (81.2%) | |
| Lower-limb edema | 0 (0) | 0 (0) | 16 (72.3%) | 5 (45.5%) | |
| Child-Pugh classification | A | 0 (0%) | 64 (100%) | 5 (22.7%) | 1 (9.1%) |
| B | 0 (0) | 0 (0) | 6 (27.3%) | 4 (36.2%) | |
| C | 0 (0) | 0 (0) | 11 (50.0%) | 6 (54.5%) | |
| Liver function tests (mean ± SEM) | AST (U/L) | 32.6 ± 4.2 | 63.2 ± 29.8 | 51.8 ± 4.4 | 78.1 ± 16.9 |
| ALT (U/L) | 31.1 ± 5.1 | 49.1 ± 18.3 | 46.5 ± 5.0 | 68.2 ± 12.6 | |
| Alkaline phosphatase (U/L) | 189 ± 60 | 331 ± 78 | 348 ± 68 | 420 ± 73 | |
| Albumin (g/dL) | 4.4 ± 0.5 | 3.60 ± 0.85 | 3.8 ± 0.72 | 3.08 ± 0.48 | |
| PC | 97.6 ± 3.4 | 89.6 ± 5.8 | 41.5 ± 11.1 | 68.4 ± 3.9 | |
| Alpha-fetoprotein (IU/mL) | 3.39 ± 2.9 | 9.38 ± 13.4 | 10.35 ± 15.7 | 25.02 ± 27.6 | |
Data are expressed as mean ± standard errors (SE) or number (%). CHC: chronic hepatitis C, HCC: hepatocellular carcinoma, HCV: hepatitis C virus. Normal range for ALT and AST is up to 40 IU/L. Normal range are: alkaline phosphatase: up to 250 U/L, albumin: 3.5–5 g/dl, PT concentration: 80–100%, alpha-fetoprotein: 0.1–9.6 IU/mL.
Serum levels of TGF-β1, BMP7, TGF-β1/BMP7, CTGF and YKL-40 ratio in all studied groups
| Group | n | TGF-β1 (pg/mL) | BMP-7 (pg/mL) | TGF-β1/BMP7 ratio | CTGF (ng/mL) | YKL-40 (pg/mL) |
|---|---|---|---|---|---|---|
| Control | 15 | 10.98 ± 0.68 | 8.35 ± 0.45 | 1.35 ± 0.09 | 22.97 ± 4.70 | 0.58 ± 0.19 |
| CHC | 64 | 21.81 ± 1.78 | 18.63 ± 1.43 | 1.39 ± 0.14 | 63.67 ± 1.79 | 1.69 ± 0.14 |
| LC | 22 | 39.87 ± 3.90 | 22.33 ± 2.79 | 1.96 ± 0.11 | 77.08 ± 4.02 | 2.52 ± 0.13 |
| HCC | 11 | 20.81 ± 1.41 | 11.73 ± 0.79 | 1.89 ± 0.23 | 69.46 ± 10.03 | 3.16 ± 0.20 |
Data were expressed as mean ± SEM,
p < 0.001 (significant increase than control),
p < 0.001 (significant increase than CHC),
p < 0.01 (significant decrease than LC),
p < 0.01 (significant decrease than CHC),
p < 0.05 (significant increase relative to LC).
Relationship between stage of fibrosis and cytokine levels
| Fibrosis stage | n | TGF-β1 (pg/mL) | BMP7 (pg/mL) | TGF-β1/BMP7 ratio | CTGF (ng/mL) | YKL-40 (pg/mL) |
|---|---|---|---|---|---|---|
| F0 | 14 | 18.88 ± 2.43 | 15.15 ± 1.40 | 1.35 ± 0.23 | 54.71 ± 1.75 | 0.75 ± 0.22 |
| F1 | 17 | 19.31 ± 2.11 | 16.98 ± 2.12 | 1.46 ± 0.39 | 67.03 ± 2.22 | 1.27 ± 0.06 |
| F2 | 15 | 23.05 ± 2.19 | 19.10 ± 3.22 | 1.38 ± 0.20 | 65.88 ± 2.44 | 2.31 ± 0.05 |
| F3 | 18 | 25.99 ± 6.04 | 21.32 ± 2.79 | 1.38 ± 0.28 | 70.81 ± 2.76 | 2.42 ± 0.17 |
| F4 | 22 | 39.87 ± 3.90 | 22.33 ± 2.79 | 1.89 ± 0.23 | 77.09 ± 4.02 | 2.56 ± 0.13 |
Data were expressed as mean ± SEM;
p < 0.001 (significant increase than F0, F1, F2 and F3);
p < 0.01 (significant increase than F0 and F1);
p < 0.05 (significant increase than F0, F1, F2 and F3);
p < 0.001 (significant increase than F0 and F2).
Figure 2Correlation between: a) TGF-β1 and BMP-7 (r = +0.860, p = 0.000), b) CTGF and TGF-β1/BMP-7 ratio (r = +0.231, p < 0.04) and c) YKL-40 and TGF-β1/BMP-7 ratio (r = +0.286, p < 0.04)
Figure 4Receiver-operator characteristic (ROC) curve of YKL-40 for prediction of HCC
Figure 3Receiver-operator characteristic (ROC) curves of serum biomarkers for prediction of significant fibrosis and cirrhosis (Metavir score F3 and F4). Data were analyzed considering patients with liver biopsy in the chronic hepatitis group. Among them TGF-β1 and BMP-7 were the most sensitive and specific.