[ Ana Sayfa | Editörler | Danışma Kurulu | Dergi Hakkında | İçindekiler | Arşiv | Yayın Arama | Yazarlara Bilgi | E-Posta ]
Fırat Üniversitesi Sağlık Bilimleri Tıp Dergisi
2006, Cilt 20, Sayı 6, Sayfa(lar) 397-402
[ Özet ] [ PDF ] [ Benzer Makaleler ] [ Yazara E-Posta ] [ Editöre E-Posta ]
Relationship Between Abdominal Obesity and Nonalcoholic Steatohepatitis
Mehmet YALNIZ1, Huseyin ATASEVEN1, İbrahim H.BAHÇECİOGLU1, İbrahim ÖZERCAN2, İsmail ÇİFTCİ3
1Firat University Faculty of Medicine Department of Gastroenterolgy Elazığ –TÜRKİYE
2Firat University Faculty of Medicine Department of Pathology Elazığ –TÜRKİYE
3Firat University Faculty of Medicine Department of Nuclear Medicine Elazığ –TÜRKİYE
Keywords: Nonalcoholic steatohepatitis, abdominal obesity, DEXA
Summary
Obesity is a well established risk factor for hepatic steatosis and fibrotic liver disease. Nevertheless, abdominal fat distribution predicts metabolic abnormalities associated with obesity including hepatic steatosis. We aimed to investigate the relationship between body fat distribution and nonalcoholoic steatohepatitis (NASH).

25 patients with biopsy proven NASH and age-, sex-, and body mass index (BMI) matched 24 healthy individuals were studied. Patients divided into two groups according to BMI: Group I: BMI<30 (n=17), Group II: BMI≥30 (n=8). Total body fat (TBF) and trunkal fat (TF) were assessed using Dual-energy X-ray absorptiometry. Abdominal obesity was estimated by the percentage of TF, which is determined by (TF/TBF) x100.

The BMI, TBF, and TF were comparable in the control and NASH groups. TF/TBF ratio in patients with NASH, however, was significantly higher than that in the control group (p<0.05). Similarly, only TF/TBF ratio was higher in Group I than in the control group (p<0.01), although the BMI, TBF and TF values were comparable (p>0.05). The TF/TBF ratio in Group II (51.9±3.1%) was also higher than in the control group (49.9±5.9%) but the difference was not significant (p>0.05). Concerning the histopathological severity, neither grade nor stage of the patients with NASH was correlated with TF/TBF ratio (p>0.05).

Abdominal obesity is closely associated with NASH, in particular in non-obese overweight or lean patients.

  • Top
  • Summary
  • Introduction
  • Methods
  • Results
  • Disscussion
  • References
  • Introduction
    Nonalcoholic fatty liver disease (NAFLD) caused by the intrahepatic accumulation of lipids accounts for the majority of asymptomatic subjects with abnormal liver function tests 1. In addition, nonalcoholic steatohepatitis (NASH), along with other forms of NAFLD, is a well recognized cause of progressive liver disease 2,3. Approximately half of the patients with NASH develop liver fibrosis, 15% develop cirrhosis, and 3% may progress to liver failure or liver transplantation 4. Both early 5,6 and recent studies 7,8 have proved obesity as a risk factor for hepatic steatosis and fibrotic liver disease.

    It has been proposed that lipid ladden hepatocytes act as a reservoir of hepatotoxic agents and are more susceptible to a second hit injury by compounds such as endotoxin and tumor necrosis factor alpha 9,10. This leads to lipid peroxidation; a process that stimulates fibrogenesis 2. The distribution of body fat, however, has been claimed to be more important than total fat mass in the pathogenesis of NASH 2,3. Abdominal (truncal) fat distribution predicts abnormalities such as diabetes and dyslipidemia as well as hypertension and stroke, all of which are associated with obesity 11. Moreover, visceral fat, but not total fat mass, has been revealed to be a predictor of hepatic steatosis in some studies 2,11. The relationship between the abdominal obesity and NASH, however, has not been established well yet.

    Effective methods assessing the abdominal fat are essential to investigate its role in the increased health risks in obesity. Techniques for direct measurement of soft tissue composition such as computed tomography or magnetic resonance imaging are expensive, time consuming or require a relatively high radiation dose 12. Dual-energy X-ray absorptiometry (DEXA), a noninvasive technique, however, allows the simultaneous measurement of the three body compartments using a body scanner 13. It is a reliable and convenient research tool used to explore the indices of fat mass distribution, which are most informative with respects to predicting the various parameters of the metabolic syndrome 14.

    The objective of this study was to investigate the relationship between the NASH and body fat composition along with its distribution using DEXA.

  • Top
  • Summary
  • Introduction
  • Methods
  • Results
  • Disscussion
  • References
  • Methods
    The present study consisted of 25 consecutive patients with NASH proven by histopathological examination and had high alanine and aspartate aminotansferase (ALT, AST) levels at Fırat University, Gastroenterology Clinic.

    The diagnosis of NASH was based on the following criteria:

    (1) Presence of steatosis (>10%), lobular inflammation, and ballooning degeneration (with or without fibrosis) on liver biopsy;

    (2) Intake of less than 20 gr of ethanol per week, as confirmed by the physician and family members who were in close contact with the patient; and

    (3) Appropriate exclusion of other liver diseases such as alcoholic liver disease, viral hepatitis, autoimmune hepatitis, drug-induced liver disease, primary biliary cirrhosis, primary sclerosing cholangitis, biliary obstruction, and metabolic liver diseases. No patient had a history of jejunoileal by-pass.

    24 age-, sex-, and body mass index (BMI) matched individuals who had normal abdominal ultrasound liver scans, normal transaminase values, normal fasting serum glucose levels, and normal glucose tolerance tests served as the control group.

    Informed consent was obtained from each patient and the study protocol conforms to the ethical guidelines of the 1975 Declaration of Helsinki as reflected in a priori approval by the institution’s human research committee. Local ethic comittee approved the study.

    Histopathological grading and staging of the NASH was made according to Brunt’s criteria 15 by a specialist pathologist, who also made the histopathological diagnosis of the NASH.

    Grading: Grading was made according to macrovesicular steatosis and necroinflammatory activity.

    Macrovesicular steatosis:

    Grade 0: No steatosis;

    Grade 1: Steatosis up to 33%;

    Grade 2: Steatosis between 33 and 66%;

    Grade 3: Steatosis over 66%.

    Necroinflammatory activity:

    Grade 1: Mild;

    Grade 2: Moderate;

    Grade 3: Severe.

    Staging: Staging was made according to fibrosis.

    Stage 1: Zone 3 perisinusoidal / pericellular fibrosis; focal or diffuse;

    Stage 2: Focal or diffuse periportal fibrosis together with Zone 3 perisinusoidal / pericellular fibrosis;

    Stage 3: Focal and diffuse bridging necrosis together with perisinusoidal / pericellular fibrosis and portal fibrosis;

    Stage 4: Cirrhosis.

    Laboratory Analyses: Blood samples were collected from patients and control group after an overnight fasting. AST, ALT, total protein, albumin, alkaline phosphatase, γ-glutamyl transpeptidase, HbsAg, antiHCV, antinuclear anticor, smooth muscle antibody, antimitochondrial antibody, serum cholesterol, triglyceride, fasting glucose levels and complete blood count were studied.

    Patients with fasting serum glucose levels of more than 126 mg/dl in at least two seperate samples were identified as having diabetes mellitus, and a finding of 140-200 mg/dl two hours after the standard oral glucose loading was considered abnormal glucose tolerance test.

    As a measure of overweightness and/or obesity, Body Mass Index (BMI) was calculated as the weight (kg) divided by the square of height (m2) in all participants and the patients with BMI of more than 30 were considered to show manifest obesity according to the World Health Organization classification 16. Patients divided into two groups according to the BMI: Group I: BMI<30 (n=17) Group II: BMI≥30 (n=8).

    DEXA measurements: Total and regional body fat were taken at nuclear medicine department using Lunar DPX-L scanner (Lunar Radiation, Madison, WI). The data obtained from DEXA were further evaluated using the Lunar 1.3 V program, which allows the operator to determine specific body regions. The soft tissue assessments were the total and trunkal fat mass (kg). The trunk region consists of the area bordered by a horizontal line below the chin, vertical borders lateral to the ribs and oblique lines passing through the femoral necks, includes chest and abdomen, excluding pelvis. Abdominal obesity was estimated by the percentage of trunkal fat, which determined by dividing the weight of trunkal fat mass by the total amount of body fat 17.

    Statistical analysis: Data were initially analyzed using the MannWhitney U-test for independent samples and the Kruskal-Wallis test for comparison among the subgroups (Group I and II) and controls. The relationships among the variables were analyzed using Spearman correlation test. All analyses were performed using the Statistical Package for the Social Sciences (SPSS) for Windows, version 10. P values of less than 0.05 were considered statistically significant.

  • Top
  • Summary
  • Introduction
  • Methods
  • Results
  • Disscussion
  • References
  • Results
    The demographic and clinical characteristics of the patients and controls were comparable (p>0.05 for all) except for AST and ALT. Data presenting the demographic and clinical characteristics of the patients and controls are shown in Table 1. In histopathological examination, most of the patients had grade 2 macrovesicular steatosis (56%) and stage 2 fibrosis (64%). Cirrhosis was not found in any of the patients.


    Click Here to Zoom
    Table 1: Demographic and clinical characteristics of patients with nonalcoholic steatohepatitis and the control group*.

    Body fat composition and fat distribution: The BMI, total and trunkal fat mass were comparable in both NASH and control groups (p>0.05 for all). Trunkal/total fat mass ratio however, was significantly higher in patients with NASH than that in the control group (p<0.05). BMI, body fat composition and distribution data in the patients and controls are shown in Table 2.


    Click Here to Zoom
    Table 2: Comparison of BMI and body fat composition/distribution data of patients and controls.

    BMI and trunkal fat mass values were comparable in female and male patients (p>0.05). Nevertheless, the trunkal fat/total fat ratio, an indicator of abdominal obesity, was significantly higher in the male patients (55.4±3.3%) than in the female patients (50.6±1.9%) (p<0.05) though the total fat mass was significantly higher in the female patients (p<0.05). Clinical, histopathological, and body fat compositon/distribution data in the male and female patients are shown in Table 3.


    Click Here to Zoom
    Table 3: Clinical, histopathological, and body fat composition/ distribution data in male and female patients with nonalcoholic steatohepatitis.

    A comparison between the different BMI groups showed the total body and trunkal fat mass values of Group I and the control group to be comparable (p>0.05 for all), while the trunkal/total fat mass ratio was significantly higher in Group I than in the control group (p <0.01). Additionally, total and trunkal fat mass values were significantly higher in Group II compared to either Group I or the control group. However, trunkal/total body fat mass ratio in Group II (51.9±3.1%) was comparable with the control group (49.1±6.5%, p>0.05) but, was significantly lower than in group I (54.8±3.6%, p < 0.05). No significant difference was found between Group I and II with regard to histopathological grade and stage (p>0.05 for each), even though the mean BMI was significantly higher in Group II than in Group I (p<0.001). Clinical, histopathological, and body fat composition distribution data in group I, group II, and the control group are shown in Table 4. Trunkal/total fat ratio in control and NASH groups are also shown in figure 1.


    Click Here to Zoom
    Figure 1: Trunkal fat/total fat mass ratio, indicator of abdominal obesity in control and NASH patients.
    A comparison between the different BMI groups clearly showed that the trunkal/total fat mass ratio was significantly higher in Group I than in the control group (p <0.01). Trunkal/total body fat mass ratio in Group II (51.9±3.1%) was comparable with the control group (49.1±6.5%, p>0.05) but, was significantly lower than in group I (54.8±3.6%, p < 0.05).


    Click Here to Zoom
    Table 4: Demographic, clinical, histopathological, and body fat composition/distribution data in group I (BMI<30), group II (BMI≥30) and control groups.

    Relationship between body fat composition/ distribution and histopathological severity: Trunkal fat mass was significantly correlated with histopathological grade (r=0.415, p<0.05), but not with histopathological stage (p>0.05). However, neither total body fat mass nor trunkal/fat ratio was correlated with histopathological severity (p>0.05 for each).

    Females displayed a significant correlation to both histopathological grade (r=0.461, p<0.05) and stage (r=0.402), p<0.05) whereas histopathological severity was not significantly correlated with the AST/ALT ratio, age and BMI (p>0.05).

  • Top
  • Summary
  • Introduction
  • Methods
  • Results
  • Disscussion
  • References
  • Discussion
    Many studies have pointed to hyperinsulinemia and insulin resistance as principal pathogenic factors in NAFLD. Additionally, a strong relationship between liver fibrosis and components of insulin resistance has been proposed 7,8,18,19. Obesity is one of the essential factors contributing to insulin resistance. Furthermore, abdominal fat distribution appears to be a leading predisposing factor for insulin resistance development even in lean individuals 20 and abdominal fat mass, but not total fat mass, has been shown to be a predictor of hepatic steatosis 2,11,21.

    The first study concerning the relationship between the fatty liver and body fat tissue topography was carried out by Kral et al. 11. In this uncontrolled study it was claimed that the risk of fatty liver development increased in individuals whose fat was distributed to the abdominal site. However, this 11 and two recent studies 1,22 reporting this association were conducted in patients with NAFLD. An association between histopathologically proven NASH and abdominal obesity has not been established well yet.

    In the present study, we found a close relationship between the abdominal obesity and NASH. This was prominent particularly in non-obese patient group (group I), though BMI of this group was comparable with the control group. This result clearly indicates the presence of a strong association between the abdominal obesity and hepatic steatosis, in particular, in cases where there is no obvious obesity. This finding also provides further evidence why some non-obese individuals (physically lean but metabolically obese due to abdominal (trunkal) distribution of the fat), in particular in the Asian-Pacific region, develop NAFLD/NASH 23.

    A relationship between abdominal fat distribution and the histopathological severity of the patients with NASH was also evaluated in the present study. Trunkal site fat amount had a positive correlation with histological grade. The trunkal/total fat ratio, an accurate indicator of the abdominal obesity, however, did not show any correlation with the histopathological grade nor with the stage of patients with NASH. Although the effect of abdominal obesity upon the histopathological severity of NASH cannot be ruled out with these results, it seems that the factors other than insulin resistance also play a vital role upon the histological severity of NASH.

    In contrast, Dixon et al. 24 established that abdominal (trunkal) weight distribution and some characteristics of metabolic syndrome were significantly related with NASH and hepatic fibrosis. However, this mentioned study has the disadvantage of the study group being composed of severely obese patients with an average BMI>35. Thus, the findings of this study cannot be generalized so as to include patients with a lower BMI. In this context, the lack of the patients with higher BMIs (>35) might be thought as a relative limitation of the present study. However, although there is yet no epidemiologic study from our country demonstrating the demographic characteristics of the patients with NASH, these patients in Turkey are generally not severely obese as comparable to the present study. Nevertheless, we could also not show a relationship between the abdominal fat distribution and histopathological severity even in patients with higher BMIs (in Group II, BMI>30).

    In the current study the BMI was not correlated with the histopathological severity either. Some studies in the literature, however, report that there is a close correlation between the BMI and histopathological severity. But these studies defined obesity differently and were composed of patients with BMIs over 30, 35 and 40, respectively 7,8,25. In our study WHO criteria 16 were used in defining the obesity. Besides, Dixon et al. 24 and Shimada et al. 26 reported results consistent with our study, in which there was also no significant relationship between the BMI and the histopathological stage of the disease. The relationship between the BMI and histopathological severity is mostly observed in severely obese patients with a high BMI and should not be applied to all obese people.Taken together; the effect of abdominal obesity and the BMI upon histopathological severity of NASH should be established in patients with a wide variety of BMIs.

    Most of our NASH patients were males in which abdominal obesity was prominent. Nonetheless, the females, not males, showed a positive correlation with the histopathological severity (indicating fibrosis) in consistent with many of the studies in the literature 7,24,25. This result lends support to the inspiration that factors other than the abdominal obesity also play a vital role in the histopathological severity of NASH.

    In summary, we observed a strong relationship between the abdominal obesity and non-alcoholic steatohepatitis, in particular in the non-obese overweight and lean patients. Reports of NASH in lean patients are elusive, because normal BMI does not preclude abdominal obesity. Accordingly, it is of note to appreciate and measure the abdominal obesity, the metabolic factor that correlates best with steatosis and NASH, among individuals in which overall obesity is relatively uncommon (lean/overweight but centrally obese individuals) so as to avoid under-recognition of NASH. In additon, the importance of the correction of the abdominal obesity must be emphasized more among the approaches in the management of NASH. The impact of abdominal obesity upon NASH in severe obesity is hard to pin down and seems to decrease due to increae in the accumulation of the fat in the sites of the body other than the abdomen. Thus, further studies in patients with severe obesity are warranted to prove this relationship.

  • Top
  • Summary
  • Introduction
  • Methods
  • Results
  • Discussion
  • References
  • References

    1) Nakao K, Nakata K, Ohtsubo N, et al.. Association between nonalcoholic fatty liver, markers of obesity, and serum leptin level in young adults. Am J Gastroenterol; 2002, 97:1796-801.

    2) Falck-Ytter Y, Younossi ZM, Marchesini G, McCullough AJ. Clinical features and natural history of nonalcoholic steatosis syndromes. Semin Liver Dis; 2001, 21:17-26.

    3) Lam GM, Mobarhan S. Central obesity and elevated liver enzymes. Nutr Rev. 2004, 62(10): 394-399.

    4) Sheth SG, Gordon FD, Chopra S. Nonalcoholic steatohepatitis. Ann Intern Med; 1997, 126:137-45.

    5) Braillon A, Capron JP, Herve MA, Degott C, Quenum C. Liver in obesity. Gut; 1995, 26:133-9.

    6) Nomura F, Ohnishi K, Satomura Y, et al. Liver function in moderate obesity--study in 534 moderately obese subjects among 4613 male company employees. Int J Obes; 1986, 10:349-54.

    7) Angulo P, Keach JC, Batts KP, Lindor KD. Independent predictors of liver fibrosis in patients with nonalcoholic steatohepatitis. Hepatology; 1999, 30:1356-62.

    8) Ratziu V, Giral P, Charlotte F, et al. Liver fibrosis in overweight patients. Gastroenterology; 2000, 118:1117-23.

    9) Day CP, James OF. Steatohepatitis: a tale of two \"hits\"? Gastroenterology; 1998, 114:842-5.

    10) Day CP, James OF. Hepatic steatosis: innocent bystander or guilty party? Hepatology; 1998, 27:1463-6.

    11) Kral JG, Schaffner F, Pierson RN, Jr., Wang J. Body fat topography as an independent predictor of fatty liver. Metabolism; 1993, 42:548-51.

    12) Snijder MB, Visser M, Dekker JM, et al. The prediction of visceral fat by dual-energy X-ray absorptiometry in the elderly: a comparison with computed tomography and anthropometry. Int J Obes Relat Metab Disord; 2002, 26:984-93.

    13) Curtin F, Morabia A, Pichard C, Slosman DO. Body mass index compared to dual-energy x-ray absorptiometry: evidence for a spectrum bias. J Clin Epidemiol; 1997, 50:837-43.

    14) Paradisi G, Smith L, Burtner C, et al. Dual energy X-ray absorptiometry assessment of fat mass distribution and its association with the insulin resistance syndrome. Diabetes Care; 1999, 22:1310-7.

    15) Brunt EM, Janney CG, Di Bisceglie AM, Neuschwander- Tetri BA, Bacon BR. Nonalcoholic steatohepatitis: a proposal for grading and staging the histological lesions. Am J Gastroenterol; 1999, 94:2467-74.

    16) Obesity: preventing and managing the global epidemic. Report of a WHO consultation. World Health Organ Tech Rep Ser; 2000, 894:i-xii, 1-253.

    17) Hadigan C, Miller K, Corcoran C, et al. Fasting hyperinsulinemia and changes in regional body composition in human immunodeficiency virus-infected women. J Clin Endocrinol Metab; 1999, 84:1932-7.

    18) Marchesini G, Bugianesi E, Forlani G, et al. Nonalcoholic fatty liver, steatohepatitis, and the metabolic syndrome. Hepatology; 2003, 37:917-23.

    19) Wanless IR, Lentz JS. Fatty liver hepatitis (steatohepatitis) and obesity: an autopsy study with analysis of risk factors. Hepatology; 1990, 12:1106-10.

    20) Chandalia M, Abate N, Garg A, Stray-Gundersen J, Grundy SM. Relationship between generalized and upper body obesity to insulin resistance in Asian Indian men. J Clin Endocrinol Metab; 1999, 84:2329-35. 21 Hamaguchi M, Kojima M, Takeda N, et al. The metabolic syndrome as a predictor of nonalcoholic fatty liver disease.Ann Intern Med. 2005, 143(10):722-728.

    22) Hsiao TJ, Chen JC, Wang JD. Insulin resistance and ferritin as major determinants of nonalcoholic fatty liver disease in apparently healthy obese patients. Int J Obes Relat Metab Disord; 2004, 28:167-72.

    23) Farrell GC. Non-alcoholic steatohepatitis:what is it, and why is it important in the Asia-Pacific region? J Gastroenterol and Hepatol; 2003, 18, 124-138

    24) Dixon JB, Bhathal PS, O\'Brien PE. Nonalcoholic fatty liver disease: predictors of nonalcoholic steatohepatitis and liver fibrosis in the severely obese. Gastroenterology; 2001, 121:91-100.

    25) Garcia-Monzon C, Martin-Perez E, Iacono OL, et al. Characterization of pathogenic and prognostic factors of nonalcoholic steatohepatitis associated with obesity. J Hepatol; 2000, 33:716-24.

    26) Shimada M, Hashimoto E, Kaneda H, Noguchi S, Hayashi N. Nonalcoholic steatohepatitis: risk factors for liver fibrosis. Hepatol Res; 2002, 24:429-438.

  • Top
  • Summary
  • Introduction
  • Methods
  • Results
  • Discussion
  • References
  • [ Başa Dön ] [ Özet ] [ PDF ] [ Benzer Makaleler ] [ Yazara E-Posta ] [ Editöre E-Posta ]
    [ Ana Sayfa | Editörler | Danışma Kurulu | Dergi Hakkında | İçindekiler | Arşiv | Yayın Arama | Yazarlara Bilgi | E-Posta ]