| Literature DB >> 27955646 |
Haijiang Dai1,2, Weijun Wang3, Xiaohong Tang1, Ruifang Chen1, Zhiheng Chen2, Yao Lu4, Hong Yuan5.
Abstract
BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is the most common liver disease worldwide, and its prevalence is likely to rise even further. To help understand the pathogenesis and early prevention of progressive NAFLD, this large-scale study was designed to explore the potential association between homocysteine and the prevalence of NAFLD.Entities:
Keywords: Body mass index; Gender; Homocysteine; Interaction; Non-alcoholic fatty liver disease
Mesh:
Substances:
Year: 2016 PMID: 27955646 PMCID: PMC5153832 DOI: 10.1186/s12937-016-0221-6
Source DB: PubMed Journal: Nutr J ISSN: 1475-2891 Impact factor: 3.271
Characteristics of the study population in total and according to homocysteine quartiles
| Variables | Total | Quartiles of Homocysteine |
| |||
|---|---|---|---|---|---|---|
| Q1 (<5.1) | Q2 (5.1 to <7.1) | Q3 (7.1 to <9.9) | Q4 (≥9.9) | |||
|
| 7203 | 1876 | 1815 | 1697 | 1815 | |
| Homocysteine (μmol/L)a | 7.0 (5.0, 9.9) | 4.0 (3.9, 5.0) | 6.0 (5.9, 7.0)# | 8.3 (7.9, 9.0)# | 12.3 (10.8, 14.9)# | <0.001 |
| Age (years)a | 49.0 (40.0, 59.0) | 46.0 (38.0, 52.0) | 49.0 (40.0, 57.0)# | 48.0 (39.0, 58.0)# | 53.0 (42.0, 70.0)# | <0.001 |
| Male, % | 3801 (52.8) | 477 (25.4) | 794 (43.7)# | 1024 (60.3)# | 1506 (83.0)# | <0.001 |
| BMI (kg/m2) | 24.1 ± 3.3 | 23.6 ± 3.2 | 24.0 ± 3.2# | 24.2 ± 3.2# | 24.7 ± 3.3# | <0.001 |
| Current smoker, % | 1698 (24.0) | 284 (15.5) | 364 (20.6)# | 439 (26.2)# | 611 (33.9)# | <0.001 |
| Physical activity | <0.001 | |||||
| Inactive, % | 3590 (53.6) | 991 (58.7) | 888 (54.0) | 898 (55.6) | 813 (46.4) | |
| Moderate, % | 1769 (26.4) | 461 (27.3) | 472 (28.7) | 408 (25.2) | 428 (24.4) | |
| Active, % | 1342 (20.0) | 235 (13.9) | 284 (17.3) | 310 (19.2) | 513 (29.2) | |
| Education | <0.001 | |||||
| Illiteracy/Primary, % | 282 (4.1) | 74 (4.2) | 62 (3.6) | 72 (4.4) | 74 (4.2) | |
| Middle school, % | 2234 (32.5) | 683 (38.3) | 612 (35.8) | 479 (29.4) | 460 (26.2) | |
| College or higher, % | 4361 (63.4) | 1026 (57.5) | 1035 (60.6) | 1081 (66.2) | 1219 (69.5) | |
| Drinking, % | 1459 (20.3) | 252 (13.4) | 276 (15.2) | 412 (24.3)# | 519 (28.6)# | <0.001 |
| Hypertension, % | 2144 (30. 0) | 342 (18.4) | 485 (27.0)# | 507 (30.1)# | 810 (45.0)# | <0.001 |
| Diabetes, % | 543 (7.5) | 115 (6.1) | 132 (7.3) | 127 (7.5) | 169 (9.3)# | 0.002 |
| ALT (U/L)a | 21.0 (15.0, 30.0) | 18.0 (14.0, 26.0) | 20.0 (15.0, 29.0)# | 22.0 (17.0, 33.0)# | 23.0 (17.0, 33.0)# | <0.001 |
| TBIL (μmol/L)a | 14.8 (12.1, 18.3) | 14.1 (11.6, 17.1) | 14.7 (11.9, 18.2)# | 15.1 (12.3, 18.8)# | 15.6 (12.5, 19.1)# | <0.001 |
| ALB (g/L) | 46.5 ± 2.6 | 46.2 ± 2.5 | 46.6 ± 2.5# | 46.8 ± 2.6# | 46.5 ± 2.8# | <0.001 |
| PLT (109/L) | 213.1 ± 55.0 | 218.2 ± 55.0 | 215.8 ± 55.5 | 215.5 ± 56.7 | 202.9 ± 51.6# | <0.001 |
| Uric acid (μmol/L) | 297.7 ± 92.2 | 263.8 ± 84.5 | 289.6 ± 91.9# | 300.5 ± 86.0# | 338.3 ± 90.0# | <0.001 |
| TG (mmol/L)a | 1.3 (0.9, 1.9) | 1.2 (0.8, 1.7) | 1.3 (0.9, 1.8)# | 1.3 (0.9, 2.0)# | 1.4 (1.0, 2.0)# | <0.001 |
| TC (mmol/L) | 5.2 ± 1.0 | 5.1 ± 1.0 | 5.2 ± 1.0# | 5.2 ± 1.0# | 5.1 ± 1.0 | 0.001 |
| HDL-C (mmol/L) | 1.6 ± 0.4 | 1.7 ± 0.4 | 1.6 ± 0.4# | 1.6 ± 0.4# | 1.5 ± 0.4# | <0.001 |
| hs-CRP (mg/L)a | 1.1 (0.6, 1.9) | 0.9 (0.5, 1.7) | 1.1 (0.6, 2.0)# | 1.1 (0.6, 2.0)# | 1.2 (0.7, 2.1)# | <0.001 |
| Creatinine (μmol/L) | 67.2 ± 22.0 | 57.4 ± 12.2 | 64.6 ± 18.9# | 67.9 ± 15.0# | 79.4 ± 30.7# | <0.001 |
| Prevalence of NAFLD, % | 2370 (32.9) | 372 (19.8) | 513 (28.3)# | 640 (37.7)# | 845 (46.6)# | <0.001 |
Abbreviations: BMI body mass index, ALT alanine transaminase, TBIL total bilirubin, ALB albumin, PLT platelet count, TG triglyceride, TC total cholesterol, HDL-C high-density lipoprotein cholesterol, hs-CRP high-sensitivity C-reactive protein
aVariables were log transformed before analysis
# P <0.05, in comparison with the reference group (quartile 1). P values were corrected by Bonferroni’s method due to multiple testing
Odds ratios for the association between serum homocysteine and the prevalence of non-alcoholic fatty liver disease
| Homocysteine (μmol/L) |
| OR (95% CI) | ||
|---|---|---|---|---|
| Model 1 | Model 2 | Model 3 | ||
| Quartiles | ||||
| Q1 (<5.1) | 1876 | 1 (Ref) | 1 (Ref) | 1 (Ref) |
| Q2 (5.1 to <7.1) | 1815 | 1.52 (1.30, 1.77) | 1.44 (1.18, 1.74) | 1.32 (1.04, 1.67) |
| Q3 (7.1 to <9.9) | 1697 | 2.38 (2.04, 2.76) | 1.90 (1.57, 2.30) | 1.75 (1.39, 2.22) |
| Q4 (≥9.9) | 1815 | 3.10 (2.67, 3.59) | 1.91 (1.57, 2.32) | 2.08 (1.61, 2.67) |
|
| <0.001 | <0.001 | <0.001 | |
| Per SD increment | 7023 | 1.47 (1.40, 1.55) | 1.18 (1.10, 1.27) | 1.25 (1.15, 1.37) |
|
| <0.001 | <0.001 | <0.001 | |
Model 1: adjusted for agea; Model 2: further adjusted for gender, body mass index, current smoker, physical activity, education, drinking; Model 3: further adjusted for hypertension, diabetes, uric acid, alanine transaminasea, total bilirubina, albumin, platelet count, triglyceridea, total cholesterol, high-density lipoprotein cholesterol, high-sensitivity C-reactive proteina, creatinine.
Per SD increment represents 1 SD increment of log homocysteine.
aVariables were log transformed before analysis
Fig. 1Association between homocysteine and non-alcoholic fatty liver disease in selected subgroups. Homocysteine is presented with a continuous scale (per SD increment of log homocysteine). Multiple logistic regression and interaction adjusted for agea, gender, body mass index, current smoker, physical activity, education, drinking, hypertension, diabetes, uric acid, alanine transaminasea, total bilirubina, albumin, platelet count, triglyceridea, total cholesterol, high-density lipoprotein cholesterol, high-sensitivity C-reactive proteina, and creatinine. aVariables were log transformed before analysis