| Literature DB >> 23829707 |
Huseyin Arinc1, Bahadir Sarli, Ahmet Oguz Baktir, Hayrettin Saglam, Erkan Demirci, Yasemin Dogan, Serkan Kurtul, Hatice Karaman, Abdulsamet Erden, Ahmet Karaman.
Abstract
PURPOSE: Cardiovascular diseases are the leading cause of death in patients with non-alcoholic steatohepatitis (NASH). We aimed to investigate the presence of endothelial dysfunction and whether serum concentrations of liver enzymes may reflect the severity of such an endothelial dysfunction in patients with NASH.Entities:
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Year: 2013 PMID: 23829707 PMCID: PMC4190884 DOI: 10.3109/03009734.2013.814734
Source DB: PubMed Journal: Ups J Med Sci ISSN: 0300-9734 Impact factor: 2.384
Comparison of baseline demographics, laboratory features, and Doppler studies of patients with non-alcoholic steatohepatitis and controls.
| NASH ( | Controls ( |
| |
|---|---|---|---|
| Age (years) | 42 ± 9 | 41 ± 6 | 0.686 |
| Gender (male/female) | 27/23 | 19/11 | 0.414 |
| BMI (kg/m2) | 30 ± 4 | 28 ± 3 | 0.004 |
| Glucose (mg/dL) | 90 ± 12 | 92 ± 8 | 0.662 |
| Total cholesterol (mg/dL) | 221 ± 36 | 205 ± 38 | 0.065 |
| LDL cholesterol (mg/dL) | 126 ± 27 | 119 ± 39 | 0.359 |
| HDL cholesterol (mg/dL) | 42 ± 6 | 43 ± 7 | 0.782 |
| Triglyceride (mg/dL) | 172 ± 57 | 174 ± 33 | 0.835 |
| Creatinine (mg/dL) | 0.8 ± 0.3 | 0.9 ± 0.3 | 0.325 |
| GGT (U/L) | 55 ± 18 | 36 ± 20 | <0.001 |
| AST (U/L) | 48 ± 10 | 30 ± 6 | <0.001 |
| ALT (U/L) | 61 ± 22 | 45 ± 13 | 0.001 |
| Insulin (µU/mL) | 13 ± 3 | 5 ± 2 | <0.001 |
| HOMA-IR | 3.3 ± 1.5 | 1.5 ± 0.3 | <0.001 |
| Ejection fraction (%) | 65 ± 6 | 66 ± 5 | 0.183 |
| BA baseline diameter (mm) | 40 ± 6 | 39 ± 4 | 0.172 |
| FMD (%) | 4.9 ± 2.8 | 9.3 ± 4.4 | <0.001 |
| CIMT (mm) | 0.79 ± 0.16 | 0.64 ± 0.11 | <0.001 |
AST = aspartic acid transaminase; ALT = alanine transaminase; BA = brachial artery; BMI = body mass index; CIMT = carotid intima-media thickness; FMD = flow-mediated dilatation; GGT = gamma glutamyl transferase; HDL = high-density lipoprotein; LDL = low-density lipoprotein.
Linear regression analysis showing relationships between several variables and flow-mediated dilatation of brachial artery.
| Coefficient β |
| |
|---|---|---|
| Age | –0.09 | 0.298 |
| BMI | 0.01 | 0.958 |
| AST | –0.09 | 0.335 |
| ALT | –0.43 | 0.002 |
| GGT | –0.36 | 0.007 |
| Insulin | –0.05 | 0.610 |
| HOMA index | –0.09 | 0.414 |
| Total cholesterol | 0.16 | 0.846 |
Linear regression analysis showing relationships between several variables and carotid artery intima-media thickness.
| Coefficient β |
| |
|---|---|---|
| Age | 0.09 | 0.415 |
| BMI | 0.09 | 0.401 |
| AST | 0.18 | 0.133 |
| ALT | 0.38 | 0.027 |
| GGT | 0.40 | 0.021 |
| Insulin | 0.03 | 0.821 |
| HOMA index | 0.09 | 0.536 |
| Total cholesterol | 0.01 | 0.902 |
Figure 1.In patients with non-alcoholic steatohepatitis, serum gamma glutamyl transferase and alanine transaminase concentrations were negatively correlated with flow-mediated dilatation of the brachial artery. A: Graphics showing correlation between gamma glutamyl transferase concentration and flow-mediated dilatation. B: Graphics showing correlation between alanine transaminase concentration and flow-mediated dilatation.
Figure 2.In patients with non-alcoholic steatohepatitis, serum gamma glutamyl transferase and alanine transaminase concentrations were highly correlated with the carotid intima-media thickness. A: Graphics showing correlation between serum gamma glutamyl transferase concentration and carotid intima-media thickness. B: Graphics showing correlation between serum alanine transaminase concentration and carotid intima-media thickness.