Alcohol Abstinence Is Associated with Regression of Non-Invasive Fibrosis Markers in Patients with Metabolic Syndrome: A 12-Month Prospective Study
Abstract
1. Introduction
2. Materials and Methods
2.1. Study Design and Population
- (1)
- abdominal obesity, defined as waist circumference > 102 cm in men or >88 cm in women; when waist circumference was not available, obesity was assessed using body mass index (BMI ≥ 30 kg/m2) as a surrogate marker;
- (2)
- fasting plasma glucose ≥ 100 mg/dL or previously diagnosed type 2 diabetes mellitus;
- (3)
- arterial hypertension (blood pressure ≥ 130/85 mmHg or current antihypertensive treatment);
- (4)
- serum triglycerides ≥ 150 mg/dL or lipid-lowering treatment;
- (5)
- reduced high-density lipoprotein cholesterol (HDL-C < 40 mg/dL in men or <50 mg/dL in women).
2.2. Inclusion and Exclusion Criteria
2.3. Data Collection and Liver Assessment
2.4. Follow-Up and Group Allocation
2.5. Statistical Analysis
3. Results
3.1. Baseline Characteristics of the Study Population
3.2. Correlations Between Clinical and Laboratory Parameters and Baseline Fibrosis Markers
3.3. Baseline Fibrosis Markers According to Liver Disease Category
3.4. Follow-Up and Alcohol Abstinence Status
3.5. Longitudinal Evolution of Non-Invasive Fibrosis Markers
3.6. Multivariate Analysis
4. Discussion
4.1. Interaction Between Metabolic Syndrome and Alcohol-Related Liver Injury
4.2. Alcohol Abstinence and Fibrosis Regression
4.3. Utility of Non-Invasive Fibrosis Markers in Longitudinal Assessment
4.4. Determinants of Fibrosis Severity and the Role of GGT
4.5. Shared Molecular Mechanisms Between Alcohol-Related Liver Disease and MASLD
4.6. Clinical and Public Health Implications
4.7. Strengths and Limitations
4.8. Future Research Directions
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| ALD | Alcohol-Related Liver Disease |
| ALT | Alanine Aminotransferase |
| ANOVA | Analysis of Variance |
| APRI | Aspartate Aminotransferase-to-Platelet Ratio Index |
| AST | Aspartate Aminotransferase |
| BMI | Body Mass Index |
| CAP | Controlled Attenuation Parameter |
| FIB-4 | Fibrosis-4 Index |
| GGT | Gamma-Glutamyl Transferase |
| HBV | Hepatitis B Virus |
| HCV | Hepatitis C Virus |
| HDL-C | High-Density Lipoprotein Cholesterol |
| IFG | Impaired Fasting Glucose |
| INR | International Normalized Ratio |
| IQR | Interquartile Range |
| kPa | Kilopascal |
| MASLD | Metabolic Dysfunction–Associated Steatotic Liver Disease |
| MCV | Mean Corpuscular Volume |
| MetALD | Metabolic and Alcohol-Associated Liver Disease |
| NAFLD | Non-Alcoholic Fatty Liver Disease |
| NCEP ATP III | National Cholesterol Education Program Adult Treatment Panel III |
| OR | Odds Ratio |
| SD | Standard Deviation |
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| Characteristic | Total (n = 48) | Steatosis (n = 27) | Steatohepatitis (n = 12) | Cirrhosis (n = 9) | p-Value | Child-Pugh A (n = 2) | Child–Pugh B (n = 4) | Child–Pugh C (n = 3) |
|---|---|---|---|---|---|---|---|---|
| Sex | ||||||||
| Male, n (%) | 32 (66.7) | 17 (63.0) | 8 (66.7) | 7 (77.8) | 0.689 | 1 (50.0) | 3 (75.0) | 3 (100.0) |
| Female, n (%) | 16 (33.3) | 10 (37.0) | 4 (33.3) | 2 (22.2) | – | 1 (50.0) | 1 (25.0) | 0 (0.0) |
| Age (years) | ||||||||
| Mean ± SD | 62.0 ± 9.8 | 58.9 ± 8.4 | 61.8 ± 8.0 | 69.1 ± 6.4 | 0.004 | 66.5 ± 5.1 | 68.2 ± 6.0 | 73.9 ± 4.8 |
| Environment of origin | ||||||||
| Urban, n (%) | 26 (54.2) | 16 (59.3) | 6 (50.0) | 4 (44.4) | 0.712 | 1 (50.0) | 2 (50.0) | 1 (33.3) |
| Rural, n (%) | 22 (45.8) | 11 (40.7) | 6 (50.0) | 5 (55.6) | – | 1 (50.0) | 2 (50.0) | 2 (66.7) |
| Professional status | ||||||||
| Employees, n (%) | 17 (35.4) | 11 (40.7) | 4 (33.3) | 2 (22.2) | 0.438 | 1 (50.0) | 1 (25.0) | 0 (0.0) |
| Homemakers, n (%) | 12 (25.0) | 8 (29.6) | 3 (25.0) | 1 (11.1) | – | 0 (0.0) | 1 (25.0) | 0 (0.0) |
| Retired, n (%) | 19 (39.6) | 8 (29.6) | 5 (41.7) | 6 (66.7) | – | 1 (50.0) | 2 (50.0) | 3 (100.0) |
| Anthropometric parameters | ||||||||
| BMI (kg/m2), mean ± SD | 31.8 ± 1.7 | 31.5 ± 1.5 | 31.8 ± 1.7 | 32.2 ± 1.9 | 0.518 | 31.9 ± 1.6 | 32.0 ± 1.7 | 32.8 ± 2.1 |
| Lifestyle factors | ||||||||
| Current smoking, n (%) | 21 (43.8) | 11 (40.7) | 6 (50.0) | 4 (44.4) | 0.889 | 1 (50.0) | 2 (50.0) | 1 (33.3) |
| Alcohol consumption | ||||||||
| Alcohol intake (g ethanol/day), median (IQR) * | 19.3 (14.2–19.7) | 18.9 (2.8–19.7) | 19.3 (18.9–19.7) | 39.5 (19.7–39.5) | <0.001 | 19.7 (19.7–19.7) | 39.5 (39.5–51.3) | 29.6 (24.7–34.5) |
| Metabolic comorbidities | ||||||||
| Hypertension, n (%) | 42 (87.5) | 22 (81.5) | 11 (91.7) | 9 (100.0) | 0.218 | 2 (100.0) | 4 (100.0) | 3 (100.0) |
| Diabetes mellitus/IFG, n (%) | 24 (50.0) | 12 (44.4) | 7 (58.3) | 5 (55.6) | 0.684 | 1 (50.0) | 2 (50.0) | 2 (66.7) |
| Dyslipidemia, n (%) | 37 (77.1) | 20 (74.1) | 9 (75.0) | 8 (88.9) | 0.612 | 2 (100.0) | 3 (75.0) | 3 (100.0) |
| Laboratory parameters | ||||||||
| Platelets (×103/µL), mean ± SD | 199.0 ± 58.4 | 214.6 ± 47.2 | 191.3 ± 53.9 | 152.8 ± 42.0 | 0.003 | 171.5 ± 34.2 | 149.3 ± 38.6 | 126.7 ± 29.8 |
| GGT (U/L), median (IQR) | 105.0 (51.8–215.5) | 54.0 (44.5–105.5) | 133.5 (94.8–206.0) | 265.0 (225.0–337.0) | 0.011 | 289.5 (277.2–301.8) | 245.0 (222.2–283.0) | 443.0 (280.0–836.5) |
| Total bilirubin (mg/dL), mean ± SD | 1.57 ± 1.20 | 1.12 ± 0.62 | 1.64 ± 0.93 | 2.78 ± 1.41 | 0.002 | 1.98 ± 0.74 | 2.65 ± 0.91 | 3.92 ± 1.08 |
| INR, mean ± SD | 1.16 ± 0.42 | 1.03 ± 0.21 | 1.14 ± 0.33 | 1.52 ± 0.61 | 0.006 | 1.21 ± 0.19 | 1.46 ± 0.28 | 2.05 ± 0.37 |
| Albumin (g/dL), mean ± SD | 3.88 ± 0.60 | 4.12 ± 0.41 | 3.82 ± 0.44 | 3.29 ± 0.52 | 0.001 | 3.71 ± 0.32 | 3.28 ± 0.41 | 2.89 ± 0.36 |
| Non-invasive fibrosis scores | ||||||||
| FIB-4 score, mean ± SD | 1.74 ± 0.83 | 1.32 ± 0.56 | 1.76 ± 0.69 | 2.87 ± 0.91 | <0.001 | 2.11 ± 0.42 | 2.79 ± 0.58 | 3.84 ± 0.67 |
| APRI score, mean ± SD | 0.99 ± 0.71 | 0.62 ± 0.41 | 0.96 ± 0.58 | 1.89 ± 0.83 | <0.001 | 1.21 ± 0.39 | 1.90 ±0.25 | 3.42 ± 0.54 |
| Cirrhosis-related clinical features (cirrhosis subgroup only) | ||||||||
| Ascites, n (%) | – | – | – | – | – | 0 (0.0) | 4 (100.0) | 3 (100.0) |
| Hepatic encephalopathy, n (%) | – | – | – | – | – | 0 (0.0) | 1 (25.0) | 3 (100.0) |
| Prior variceal bleeding and/or portal hypertension, n (%) | – | – | – | – | – | 0 (0.0) | 2 (50.0) | 3 (100.0) |
| Transient elastography performed at baseline, n (%) | 41 (85.4) | 27 (100.0) | 12 (100.0) | 2 (22.2) | <0.001 | 2 (100.0) | 0 (0.0) | 0 (0.0) |
| Parameter | Baseline (Total, n = 48) | Abstinent 6 Months (n = 35) | Abstinent 12 Months (n = 35) | Non-Abstinent 6 Months (n = 13) | Non-Abstinent 12 Months (n = 13) | p (Time × Group Interaction) |
|---|---|---|---|---|---|---|
| BMI (kg/m2) | 31.7 ± 1.7 | 30.1 ± 4.2 | 29.6 ± 4.1 | 34.0 ± 5.1 | 34.3 ± 5.2 | <0.01 |
| GGT (U/L), median (IQR) | 105.0 (51.8–215.5) | 88.0 (64.0–112.0) | 69.0 (48.0–86.0) | 285.0 (220.0–360.0) | 310.0 (250.0–395.0) | <0.001 |
| FIB-4 score | 1.74 ± 0.83 | 1.32 ± 0.61 | 1.18 ± 0.54 | 2.64 ± 0.93 | 2.82 ± 0.97 | <0.001 |
| APRI score | 0.99 ± 0.71 | 0.72 ± 0.49 | 0.61 ± 0.43 | 1.58 ± 0.81 | 1.74 ± 0.88 | <0.001 |
| FibroScan (kPa) | 8.9 ± 3.4 | 7.1 ± 2.6 | 6.4 ± 2.3 | 13.2 ± 4.1 | 14.1 ± 4.6 | <0.001 |
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Mihăilă, D.; Domnariu, H.-P.; Moga, D.-F.-C.; Domnariu, C.-D. Alcohol Abstinence Is Associated with Regression of Non-Invasive Fibrosis Markers in Patients with Metabolic Syndrome: A 12-Month Prospective Study. J. Clin. Med. 2026, 15, 2257. https://doi.org/10.3390/jcm15062257
Mihăilă D, Domnariu H-P, Moga D-F-C, Domnariu C-D. Alcohol Abstinence Is Associated with Regression of Non-Invasive Fibrosis Markers in Patients with Metabolic Syndrome: A 12-Month Prospective Study. Journal of Clinical Medicine. 2026; 15(6):2257. https://doi.org/10.3390/jcm15062257
Chicago/Turabian StyleMihăilă, Daniela, Horațiu-Paul Domnariu, Doru-Florian-Cornel Moga, and Carmen-Daniela Domnariu. 2026. "Alcohol Abstinence Is Associated with Regression of Non-Invasive Fibrosis Markers in Patients with Metabolic Syndrome: A 12-Month Prospective Study" Journal of Clinical Medicine 15, no. 6: 2257. https://doi.org/10.3390/jcm15062257
APA StyleMihăilă, D., Domnariu, H.-P., Moga, D.-F.-C., & Domnariu, C.-D. (2026). Alcohol Abstinence Is Associated with Regression of Non-Invasive Fibrosis Markers in Patients with Metabolic Syndrome: A 12-Month Prospective Study. Journal of Clinical Medicine, 15(6), 2257. https://doi.org/10.3390/jcm15062257

