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. 2020 Sep 21;1(3):101–108. doi: 10.14744/hf.2020.2020.0018

The clinical and histological characteristics of patients with biopsy-proven non-alcoholic fatty liver disease in the absence of insulin resistance

Coskun Ozer Demirtas 1,, Aybuke Sapmaz 2, Burak Ahmet Gurel 2, Hasan Kizmaz 2, Tuncay Ulu 2, Seyma Gorcin Karaketir 3, Seyhan Hidiroglu 3, Yusuf Yilmaz 1,4
PMCID: PMC9349490  PMID: 35949721

Abstract

Background and Aim

Non-alcoholic fatty liver disease (NAFLD) is closely associated with insulin resistance (IR). While a minority of patients with NAFLD does not have evidence of IR, no detailed characterization of this specific phenotype is currently available. This study was undertaken to investigate the clinical and histological characteristics of this patient group.

Materials and Methods

We retrospectively reviewed the clinical records of 263 patients with biopsy-proven NAFLD. IR was defined by a Homeostatic Model Assessment of IR (HOMA-IR) score >2.73. The histological diagnosis of non-alcoholic steatohepatitis (NASH) was performed using 1) the steatosis, activity and fibrosis score and 2) the NASH Clinical Research Network (NASH CRN) criteria. Significant fibrosis was defined by the presence of a histological fibrosis score higher than F≥2. Patients with and without evidence of IR were compared concerning clinical, laboratory, and histological characteristics.

Results

Of the 263 patients with biopsy-proven NAFLD, 53 (20.2%) patients had no evidence of IR. Patients without IR were younger [IR (-): 42 (22–65) years versus IR (+): 49 (22−71) years, p=0.001] and had a higher prevalence of men [IR (-): 39 (73.6%) versus IR (+): 113 (53.8%), p=0.009]. Moreover, they were characterized by a lower body mass index [IR (-): 30.06±3.61 kg/m2 versus IR (+): 33.19±5.06 kg/m2, p=0.000] and lower frequencies of metabolic risk factors–including the metabolic syndrome, diabetes, hypertension, hyperlipidemia, and lower waist/hip circumference. Liver histology was generally less severe in patients without IR; specifically, they showed a lower prevalence of NASH [IR (-): 38 (71.7%) versus IR (+): 190 (90.5%), p=0.000] and significant fibrosis [IR (-): 9 (17.0%) versus IR (+): 106 (50.5%), p=0.000] than did patients with IR. Multivariate analysis identified obesity [odds ratio (OR): 9.321, 95% confidence interval (CI): 1.031−84.261, p<0.05] and an international normalized ratio >1.1 (OR: 10.116, 95% CI: 1.325−77.225, p<0.05) as independent predictors of significant fibrosis in patients with NAFLD and no IR.

Conclusion

Patients with NAFLD and no IR has less severe liver histology than patients with IR. However, obesity appears to be independently associated with significant fibrosis in this patient group.

Keywords: Fibrosis, histology, HOMA score, insulin resistance, non-alcoholic fatty liver disease

Introduction

Non-alcoholic fatty liver disease (NAFLD) is characterized by the presence of excessive hepatic fat accumulation (>5%) in the absence of other potential causes of steatosis. NAFLD encompasses a wide spectrum from simple steatosis to steatohepatitis (NASH), and subsequently to cirrhosis and hepatocellular carcinoma.[1,2] NAFLD has long been considered as the hepatic component of metabolic syndrome, and it is strongly correlated with its manifestations such as obesity and type 2 diabetes mellitus.[3,4] In parallel to the growing obesity epidemic, the prevalence of type 2 diabetes mellitus, metabolic syndrome and NAFLD has increased over the last two decades.[5] Recent meta-analysis showed that the overall prevalence of NAFLD among patients with type 2 diabetes mellitus is 55.5%, whereas the global prevalence of NASH among patients with type 2 diabetes mellitus is 37.3%.[6] On the other hand, several epidemiological studies have revealed a closer association of NAFLD with insulin resistance (IR) rather than metabolic syndrome itself and its clinical manifestations.[7,8] Therefore, NAFLD is, in fact, currently considered as the hepatic manifestation of IR.

Traditionally, the existence of IR has been mentioned as the first hit of a two-hit hypothesis constructed to explain the pathogenesis of NASH.[9] Accordingly, IR led to simple steatosis as the first hit, whereas the second hit was done by oxidative stress, lipid peroxidation and mitochondrial dysfunction. However, in recent years, there is an increasing recognition that NAFLD is a way more heterogeneous disease with multiple pathways of pathogenesis.[10] The pivotal role of IR in the development and progression of NAFLD has been demonstrated multiple times and is well-acknowledged. However, the pathogenesis of NAFLD without underlying IR remains dubious and a little is known about the characteristics of this relatively rare subgroup.

To date, the issue of whether NAFLD without IR is a different entity than the NAFLD with IR is still unclarified. Therefore, we sought to expose the characteristics of NAFLD arising in the absence of IR by comparing it with a group of patients with NAFLD with underlying IR. Moreover, we aimed to identify the independent predictors of significant fibrosis (F≥2) in patients with NAFLD without IR.

Materials and Methods

Study Population and Design

The present study was designed as a retrospective review of prospectively collected data. In this study, 515 consecutive adult patients with biopsy-proven NAFLD recruited from the outpatient facilities of the department of gastroenterology at a tertiary center were investigated. Indications for liver biopsy were as follows: evidence of hepatic steatosis on ultrasound, abnormal liver enzymes or hepatomegaly, and absence of secondary causes of hepatic fat accumulation [e.g., significant alcohol consumption (>21 units of alcohol per week for men and >14 units of alcohol per week for women) and previous history of steatogenic drugs use]. Patients were excluded from this study if they met one of the following criteria; the presence of viral hepatitis, drug-induced liver disease, autoimmune hepatitis, and genetic liver diseases. A complete medical history was taken, and all underwent a comprehensive physical examination before the biopsy procedure. Initial demographic, laboratory and clinical parameters were recorded before the liver biopsy procedure. Aspartate transaminase value was considered normal if lower than 37 U/L using the upper limits of our laboratory, while upper limits of normal alanine transaminase were determined as 32 U/L for men and 23 U/L for women in accordance with the recently published data in a Turkish population.[11,12] Obesity is defined for patients with a body-mass index (BMI) value higher than 30 kg/m2, whereas overweight is described for patients with a BMI value between 25 and 29.99 kg/m2. Patients who are not overweight or obese are categorized as having lean BMI.

Identification of Groups with and without Insulin Resistance

IR was defined using the most commonly and globally used proxy in clinical practice, namely The Homeostatic Model Assessment of IR (HOMA-IR) score. The threshold for identifying IR was accepted as 2.73, as it is the most widespread acknowledged cut-off value for the distinction.[11] HOMA-IR score was calculated as follows: fasting glucose (mmoL/L) x fasting insulin (lU/mL)/22.5. Patients with HOMA score ≥2.73 were classified in IR (+) group, whereas patients with HOMA score <2.73 were grouped as IR (-). To limit the influence of supra-physiological results of insulinemia induced by insulin therapy, patients with insulin use were excluded from both groups. Besides, patients using anti-diabetic drugs were also excluded from the low HOMA group, as it may have reduced the inherent HOMA score of subjects. After the exclusion of ineligible cases, a total of 263 patients were enrolled for the analysis. The flow diagram of the study is exhibited in Figure 1.

Figure 1.

Figure 1

Flow diagram of this study.

Liver Histology

Liver biopsies were processed by an experienced pathologist. A biopsy length of at least 1.5 cm or the presence of six to eight portal tracts are considered adequate and was also excluded if inadequate.[12] An expert pathologist classified all liver biopsy specimens as non-NASH versus NASH using the steatosis, activity and fibrosis (SAF) scoring system in accordance with the fatty liver inhibition of progression algorithm.[13] NASH was diagnosed when all three histological parameters, steatosis, hepatocellular ballooning and lobular inflammation, had a grade of 1 or more. NAFLD activity score (NAS) was calculated based on the sum of the following three parameters: steatosis (ranging from 0 to 3), hepatocellular ballooning (ranging from 0 to 2). NAS scores were categorized as follows; <3: non-NASH, 3–4: borderline NASH, >4: definite NASH. NASH Clinical Research Network criteria were applied for each specimen according to NAS score as published.[14] The NAFLD severity was considered mild when the activity grade was <2 and the fibrosis stage was <2, whereas severe disease was assigned when both were ≥2.[15] Significant fibrosis was defined as a histological fibrosis score of higher than F≥2, whereas advanced fibrosis was defined as a histological fibrosis score of higher than F≥3.[16]

Statistical Analysis

Data were presented using descriptive statistics. Intergroup comparisons of normally distributed and skewed continuous variables were performed using the Student’s t-test and the Mann-Whitney U test, respectively. Pearson’s chi-square test was used to analyse categorical variables. Multivariate logistic regression analyses were performed using the significantly different parameters in definitive univariate analysis to reveal the independent predictors of significant fibrosis in both groups. The statistical significance was defined as p<0.05. All statistical analyses were conducted using the SPSS software version 20.0 (IBM, Armonk, NY, USA).

Ethics

This study followed the tenets of the Helsinki Declaration, and it was approved by the local Ethics Committee (Protocol No: 09.2019.808). Owing to the retrospective nature of this study, the need for informed consent was waived.

Results

General Characteristics of Patients with NAFLD with or without Underlying IR

Demographics of the study population are summarized in Table 1. Of the 263 eligible patients with biopsy-proven NAFLD, 53 (20.2%) patients had no concomitant IR. Compared with IR (+) group, patients in IR (-) group were younger [IR (-): 42 (22–65) years vs. IR (+): 49 (22–71) years, p=0.001], and more commonly male [IR (-): 39 (73.6%) vs. IR (+): 113 (53.8%), p=0.009]. Moreover, patients in IR (-) group had lower BMI [IR (-): 30.06±3.61 kg/m2 vs. IR (+): 33.19±5.06 kg/m2, p=0.000] and less frequently associated metabolic risk factors (metabolic syndrome, diabetes, hypertension, hyperlipidaemia, and lower waist/hip circumference).

Table 1.

Demographics of the study population

IR (+) IR (-) Whole cohort p
(n=210) (n=53) (n=263)
n % n % n %
Age, median (IQR), y 49 (22-71) 42 (22-65) 47 (22-71) 0.001*
Sex
Male 113 53.8 39 73.6 1 52 57.8 0.009*
Female 97 46.2 14 26.4 111 42.2
Cigarette
Active 30 15.3 11 22 41 16.7
Quit 51 26 11 22 62 25.2 0.503
Never smoked 115 58.7 28 56 1 43 58.1
Alcohol
Active 16 8.2 3 6 19 7.7
Quit 28 14.3 3 6 31 12.6 0.228
Never smoked 1 52 77.6 44 88 1 96 79.7
BMI, mean±SD, kg/m2 33.19±5.06 30.06±3.61 31.71±5.0 0.000*
BMI category
Lean 11 5.2 4 7.5 15 5.7
Overweight 51 24.3 24 47.2 76 28.9 0.002*
Obese 1 48 70.5 24 45.3 1 72 65.4
Waist circumference, mean±SD, cm 107.4±11.3 101.1±8.2 105.9±10.9 0.001*
Hip circumference, median (IQR), cm 110.9 (63-155) 107 (94-129) 109 (63-155) 0.013*
Type 2 diabetes mellitus 102 48.6 7 6.4 109 41.4 0.000*
Hypertension 89 42.4 11 20.8 1 00 38 0.004*
Hyperlipidemia 115 54.8 17 32.1 1 32 50.2 0.003*
Metabolic syndrome 1 50 71.4 26 49.1 1 76 66.9 0.002*

IQR: Interquartile range; BMI: Body-mass index; IR: Insulin resistance; SD: Standard deviation; *: Sign indicates significant p-values as <0.05.

In the laboratory, albumin, creatinine and low-density lipoprotein (LDL) were higher, and thyroid-stimulating hormone (TSH), INR, HbA1c and spot microalbuminuria was lower in the IR (-) group compared to IR (+) group. C-peptide, a cleavage product of insulin synthesis that is co-secreted with insulin, was also lower in the IR (-) group in line with the lower insulin levels. Laboratory characteristics of the study population are presented in Table 2.

Table 2.

Laboratory characteristics of the study population

IR (+)
(n=210)
IR (-)
(n=53)
Whole cohort (n=263) p
Normal transaminase, n(%) 51 (24.3) 14 (26.4) 65 (24.7) 0.725
AST, U/L 41 (11-168) 35 (16-149) 40 (11-168) 0.112
ALT, U/L 63 (12-288) 59 (18-215) 62 (12-288) 0.306
ALP, U/L 82 (34-563) 90 (38-178) 83 (34-563) 0.661
GGT U/L 48 (9-559) 49 (13-217) 48 (9-559) 0.567
Creatinine, mg/dL 0.81±0.2 0.92±0.16 0.83 (0.41-2.13) 0.000*
LDH, U/L 207 (19-449) 203 (150-328) 205 (19-449) 0.130
Total bilirubin, mg/dL 0.71 (0.1 —6.1) 0.75 (0.28-2.8) 0.72 (0.1 —6.1) 0.399
Direct bilirubin, mg/dL 0.14 (0.1-1.83) 0.15 (0.1-0.88) 0.14 (0.1-1.83) 0.853
Total protein, gr/dL 7.7 (6.4-9.14) 7.8 (6.5-8.5) 7.7 (6.4-9.1) 0.109
Albumin, gr/dL 4.5 (3.5-5.9) 4.7 (3.9-5.6) 4.6 (3.5-5.9) 0.001*
Total cholesterol, mg/dL 206 (74-419) 211 (93-417) 208 (74-419) 0.563
LDL, mg/dL 129 (28-400) 145 (31.2-259) 133 (28-400) 0.03*
HDL, mg/dL 44 (19-78) 43 (25-74) 44 (19-78) 0.704
Triglycerides, mg/dL 163 (37-716) 169 (44-1107) 164 (37-1107) 0.399
TSH, mIU/L 1.59 (0.1-9.52) 1.14 (0.23-22.1) 1.52 (0.1-13.3) 0.005*
Uric acid, mg/dL 6.25±1.52 6.02±1.04 6.21±1.43 0.339
White blood cell count, pL/mL 6.980 (2.400-14.900) 6.500 (4.800-12.300) 6.900 (2.400-14.900) 0.601
Hemoglobin, g/L 14.5 (8.5-18.9) 14.8 (7.1-17) 14.6 (7.1-18.9) 0.180
Platelet count, x1000/m3 229 (77-421) 243 (89-543) 232 (77-543) 0.252
INR 1.02 (0.87-1.7) 0.98 (0.85-1.2) 1.01 (0.8-1.9) 0.033*
Ferritin, ng/mL 92.7 (4.1-645) 90 (6.65-395.2) 92 (4.1-645) 0.99
TIBC, ug/dL 368.5±71.1 364.8±58.6 367.7±68.6 0.556
Glucose, mg/dL 103 (77-307) 89 (66-117) 100 (66-307) 0.000*
Insulin, pIU/mL 17.9 (9.13-76.12) 8.8 (1.85-13) 16.4 (1.85-76.12) 0.000*
HOMA-IR 4.71 (2.73-28.76) 2.02 (0.32-2.6) 4.07 (0.32-28.76) 0.000*
HbA1c 5.9 (4-11.1) 5.5 (4.6-6.2) 5.8 (4-11.1) 0.000*
C-peptid, ng/mL 3.69 (1.08-261) 2.68 (1.74-10.2) 3.5 (1.08-261) 0.003*
Spot microalbuminuria, mg/L 13.65 (1-2925.01) 5.12 (0.1-641.9) 11.51 (0.1-2925.01) 0.000*

ALT: Alanine aminotransferase; ALP: Alkaline phosphatase; AST: Aspartate aminotransferase; GGT: Gamma-glutamyl transferase; HDL: High-density lipoprotein; HOMA-IR: The Homeostatic Model Assessment of Insulin Resistance; LDL: Low-density lipoprotein; INR: International normalized ratio; TIBC: Total iron-binding capacity; *: Sign indicates significant p-values as <0.05. Data were given as mean±standard deviation or median (interquartile range) when appropriate.

Histopathological Characteristics of Patients with NAFLD with or without Underlying IR

The histopathological characteristics of the study population are presented in Table 3. IR (-) group differed from IR (+) group concerning the following histological findings: grade of steatosis (S), stage of activity (A), stage of fibrosis (F), NAS score, as well as ballooning, lobular inflammation and portal inflammation. All aforementioned findings increased in the IR (+) group in comparison with IR (-) group. The diagnosis of NASH was observed more frequently in the IR (+) group according to both SAF algorithm classification [IR (-): 38 (71.7%) vs. IR (+): 190 (90.5%), p=0.000] and NASH CRN criteria. The liver histology in the IR (+) group tended to be more severe, with higher rates of severe disease than the IR (-) group. Both significant fibrosis [IR (-): 9 (17.0%) vs. IR (+): 106 (50.5%), p=0.000] and advanced fibrosis [IR (-): 9 (9.4%) vs. IR (+): 54 (25.7%), p=0.011] were more common in IR (+) group. Twelve (5.7%) patients were diagnosed with NASH-related cirrhosis in the IR (+) group, whereas none of the subjects in the IR (-) group had cirrhosis.

Table 3.

Histological characteristics of the study population

IR (+)
(n=210)
IR (-)
(n=53)
Whole cohort
(n=263)
p
n % n % n %
Length of specimen, mm 29 (7-65) 28 (17-49) 29 (7-65) 0.956
Number of portal tracts, median (IQR) 20 (6-41) 19 (11-20) 20 (6-41) 1.000
Grade of steatosis (S)
S1 33 15.7 20 37.7 53 20.2
S2 89 42.4 21 39.6 110 41.8 0.001
S3 88 41.9 12 22.6 1 00 38
Grade of activity (A)
A0 1 0.5 3 5.7 4 1.5
A1 15 7.1 12 22.6 27 10.3
A2 49 23.3 17 32.1 66 25.1 0.000
A3 74 35.2 16 30.2 90 34.2
A4 71 33.8 5 9.4 76 28.9
Stage of fibrosis (F)
F0 30 1 4.3 27 50.9 57 21.7
F1 74 35.2 17 32.1 91 34.6
F2 52 24.8 4 7.5 56 21.3 0.000
F3 42 20 5 9.4 47 17.9
F4 12 5.7 - - 12 4.6
SAF algorithm classification
NAFL 20 9.5 15 28.3 35 13.3 0.000
NASH 1 90 90.5 38 71.7 228 86.7
Mild/Severe disease 16 (7.6)/194 (92.4) 14 (26.4)/39 (73.6) 30 (11.4)/233 (88.6) 0.000
Lobular inflammation
0 10 4.8 10 18.9 20 7.6
1 80 38.1 27 50.9 1 07 40.7 0.000
2 92 43.8 15 28.3 1 07 40.7
3 28 13.3 1 1.9 29 11
Ballooning
0 11 5.2 8 15.1 19 7.2
1 1 07 51 34 64.2 1 41 53.6 0.002
2 92 43.8 11 20.8 1 03 39.2
Portal inflammation
0 56 31.1 35 70 91 39.6
1 97 53.9 15 30 112 48.7 0.000
2 25 13.9 - - 25 10.9
3 2 1.1 - - 2 0.9
NAS score, median (IQR) 4 1-8 4 1-8 5 1-8 0.000
NASH CRN criteria
Non-NASH 7 3.3 8 15.1 15 5.7
Borderline NASH 55 26.2 23 43.4 78 29.7 0.000
Definite NASH 148 70.5 22 41.5 170 64.6
Significant fibrosis (≥F2) 106 50.5 9 17.0 115 43.7
Advanced fibrosis (≥F3) 54 25.7 5 9.4 59 22.4 0.011
Cirrhosis (F4) 12 5.7 - - 12 4.6 0.075

CRN: Clinical research network; NAFL: Non-alcoholic fatty liver; NASH: Non-alcoholic steatohepatitis; SAF: Steatosis, activity and fibrosis; *: Sign indicates significant p-values as <0.05.

Independent Predictors of Significant Fibrosis in Patients with NAFLD with or without IR

In multivariate analysis, presence of diabetes mellitus [odds ratio (OR)=2.096, 95% confidence interval (CI)=1.012–4.341, p=0.046], hypertension (OR=3.501, 95% CI=1.601–7.658), older age (OR=1.037, 95% CI=1.001–1.074), GGT (OR=2.618, 95% CI=1.286–5.332), platelet count [<200 x 1000/m3] (OR=3.329, 95% CI=1.286–5.332), higher INR [>1.1] (OR=2.533, 95% CI=1.251–5.132, p=2.533) and increasing HOMA score (OR=1.101, 95% CI=1.001.211, p=0.049) were identified as independent predictors of significant fibrosis in IR (+) group (Table 4). In IR (-) group, obesity (OR=9.321, 95% CI=1.031–84.261) and having higher INR [>1.1] (OR=10.116, 95% CI=1.325–77.225, p=0.026) were the only independent predictors of significant fibrosis (Table 5).

Table 4.

Predictors of significant fibrosis in IR (+) subjects

Univariate Multivariate
p value p value Exp (B) 95% CI
Diabetes 0.000 0.046* 2.096 1.012-4.341
Hypertension 0.000 0.002* 3.501 1.601-7.658
Hyperlipidemia 0.002 0.688 1.163 0.557-2.431
Age 0.000 0.042* 1.037 1.001-1.074
GGT (>48 vs. ≤48 ) 0.003 0.008* 2.618 1.286-5.332
Platelet count (<200 vs ≥200) 0.001 0.003* 3.329 1.520-7.290
INR (>1.1 vs. ≤1.1 ) 0.009 0.01* 2.533 1.251-5.132
Creatinine (>0.9 vs. ≤0.9) 0.000 0.298 0.615 0.247-1.534
HOMA-IR score 0.001 0.049* 1.101 1.000-1.211

GGT: Gamma-glutamyl transferase; HOMA-IR: The Homeostatic Model Assessment of Insulin Resistance; INR: International normalized ratio; CI: Confidence interval; *: Sign indicates significant p-values as <0.05.

Table 5.

Predictors of significant fibrosis in IR (-) subjects

Univariate Multivariate
p value p value Exp (B) 95% CI
Female gender 0.03 0.346 2.917 0.315-26.977
Obese 0.05 0.047* 9.321 1.031-84.261
INR (>1.1 vs. <1.1) 0.046 0.026* 10.116 1.325-77.225
Creatinine (>0.9 vs. <0.9) 0.015 0.197 0.216 0.021-2.219

INR: International normalized ratio; CI: Confidence interval; *: Sign indicates significant p-values as <0.05.

Discussion

To our knowledge, this is the first study assessing the characteristics and revealing the specific predictors of significant fibrosis in patients with all biopsy-proven NAFLD without concomitant IR. Our study revealed that one in every five patients with NAFLD does not have underlying IR, and cases in this subgroup are younger, thinner (lower BMI, waist and hip circumference) and more commonly male with less metabolic comorbidities. The rate of NAFLD without IR in our study was lower than previous reports from Asia, giving a prevalence of 46% to 65.9%. [1719] This discrepancy can be explained by that the majority of their patients were not considered candidates for liver biopsy and diagnosed with ultrasonography only. Our cohort consisted of patients solitarily biopsy-proven NAFLD, of whom more than 85% was NASH. Therefore, our results are more representative of NASH rather than NAFLD, which may explain the higher rates of underlying IR in our patients.

To date, several reports have investigated the potential association of IR with the severity of liver histology. In a previous study from India conducted in 285 patients with biopsy-proven NAFLD; steatosis, NAS score and risk of having NASH increased in NAFLD patients with IR compared to patients without IR, but they could not demonstrate any difference in other parameters, including the stage of fibrosis.[20] In our study, the findings showed that patients with NAFLD without IR possess less severe liver histology concerning nearly all histologic parameters, as well as fibrosis stage. In 2014, Jung et al.[18] reported that HOMA-IR values were higher in subjects with NASH than healthy controls, but could not demonstrate a significant correlation of HOMA-IR with the severity of histologic stage in 41 patients with biopsy-proven NAFLD, probably due to small sample size.[18] One year later, a multicentre study conducted in Japan with 1365 patients with biopsy-proven NAFLD showed that HOMA-IR significantly increases in line with the increasing degree of steatosis, lobular inflammation, ballooning, fibrosis and NAS score.[20] Another study from Italy with 118 consecutive patients with biopsy-proven NAFLD reported HOMA-IR as an independent predictor of advanced fibrosis.[21] Considering the predominance of type 2 diabetes in these studies (approximately 25%), a more recent study analysed 361 patients with biopsy-proven NAFLD without diabetes and aimed to investigate whether HOMA-IR can reflect advanced fibrosis in non-diabetic patients as well.[22] They found a threshold of 2.9 for HOMA-IR to be an independent predictor of advanced fibrosis in non-diabetic NAFLD patients. In our study, we used the most widely accepted threshold for HOMA-IR score (2.73) and showed that HOMA-IR is an indicator of significant fibrosis only in NAFLD patients with IR, but not in NAFLD patients without IR.

In general, older age, obesity, the existence of diabetes and hypertension are well-acknowledged predictors of advanced fibrosis in patients with NAFLD and has been demonstrated several times from different regions of the world.[2329] Likewise, our results, GGT was shown to predict fibrosis progression in a study, but many others have proven the contradictory results.[29] Besides, another study showed that GGT and HOMA-IR were positively correlated with each other in patients with NAFLD supporting the interplay amongst GGT and HOMA-IR in predicting increasing the stage of fibrosis.[30] Not surprisingly, higher INR and low platelet count was able to predict significant fibrosis in our study, as 12 patients from NAFLD with IR group were diagnosed with cirrhosis after the biopsy. The predictors of significant fibrosis for patients with NAFLD with IR in our study were generally coherent with the previous literature knowledge, as the majority of the former studies were conducted in cohorts with a predominance of underlying IR. In our study, we investigated the predictors of significant fibrosis (>F2) in patients with NAFLD without IR for the first time and found out that obesity and having higher INR (>1.1) can be the premonitory sign of significant fibrosis and NASH in this subgroup.

Several differences in the laboratory amongst the two groups can be explained by the histological differences. The lower albumin and LDL detected in the NAFLD patients with IR is probably the indicator of higher rates of advanced fibrosis in this group, as they do decrease in line with the altered liver synthesis functions. Same explanation can be attributed to higher INR detected in patients with NAFLD with IR. The higher value of TSH detected in patients with NAFLD with IR may also be explained by the higher NASH and advanced fibrosis in this group. Interestingly, a recent report has demonstrated the higher occurrence rates of subclinical hypothyroidism and low thyroid functions in NASH and advanced fibrosis as well, supporting the TSH differences found amongst two groups in our study.[31] The reduced levels of creatinine in NAFLD patients with IR group may be reasoned owing to the cirrhotic cases, as patients with advanced chronic liver disease have a significantly lower baseline serum creatinine concentration than the general population due to a 50% decrease in hepatic production of creatinine.[32] Finally, lower HbA1c and spot microalbuminuria in NAFLD patients without IR was not surprising, as nearly half of the NAFLD patients with IR had diabetes comorbidity.

There are several limitations of our study that should be considered when interpreting results. First, the study cohort only consisted of Turkish NAFLD subjects from a tertiary centre. Therefore, the results may not be applicable to other ethnicities and the general population. Secondly, the subject selection for liver biopsy can be biased due to a part that refused to undergo liver biopsy. Finally, the implementation of the hyperinsulinemic-euglycemic clamp test, the gold standard test for IR, could have assessed the IR status of each case more accurately than the HOMA-IR score. However, the availability of liver biopsies in all patients, the larger sample size with prospective follow-up, was the main strength of our study. Besides, to our knowledge, this is the first study to reveal the predictors of significant fibrosis in patients with NAFLD according to IR status. Our study lacks investigation of genetic interactions amongst NAFLD and IR. In a recent study, the association of a PNPLA3 variant (PNPLA3 1148M) with normal insulin sensitivity has been demonstrated.[33] Moreover, the presence of IR was shown to amplify the PNPLA3-rs738409-G genetic risk factor for hepatic steatosis.[34] Further studies are warranted to clarify the underlying role of genetics in the advancement of NAFLD in patients without IR.

In conclusion, our study revealed that NAFLD patients without IR tended to have less severe liver histology compared to patients with underlying IR. While predictors of significant fibrosis in NAFLD patients with IR were generally in line with the previously reported parameters in the literature, obesity appears to be independently associated with significant fibrosis NAFLD patients without IR.

Footnotes

How to cite this article: Demirtas CO, Sapmaz A, Gurel BA, Kizmaz H, Ulu T, Gorcin Karaketir S, et al. A disquiet find: The clinical and histological characteristics of patients with biopsy-proven non-alcoholic fatty liver disease in the absence of insulin resistance. Hepatology Forum 2020; 1(3):101–108.

Ethics Committee Approval

This study followed the tenets of the Helsinki Declaration, and it was approved by the local Ethics Committee (date: 13.09.2019, number: 09.2019.808).

Peer-review

Externally peer-reviewed.

Author Contributions

COD: writing, statistical analysis and preparing the final version, AS, BAG, HK, TU: Data collection, SGK: Statistical analyses, YY: Conceptualization, design and final review.

Conflict of Interest

The authors have no conflict of interest to declare.

Financial Disclosure

The authors declared that this study has received no financial support.

References

  • 1.Chalasani N, Younossi Z, Lavine JE, Charlton M, Cusi K, Rinella M, et al. The diagnosis and management of nonalcoholic fatty liver disease: Practice guidance from the American Association for the Study of Liver Diseases. Hepatology. 2018;67(1):328–357. doi: 10.1002/hep.29367. [DOI] [PubMed] [Google Scholar]
  • 2.Kaya E, Yılmaz Y. Non-alcoholic fatty liver disease: A growing public health problem in Turkey. Turk J Gastroenterol. 2019;30(10):865–871. doi: 10.5152/tjg.2019.18045. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Kitade H, Chen G, Ni Y, Ota T. Nonalcoholic Fatty Liver Disease and Insulin Resistance: New Insights and Potential New Treatments. Nutrients. 2017;9(4):387. doi: 10.3390/nu9040387. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Kaya E, Bakir A, Kani HT, Demirtas CO, Keklikkiran C, Yilmaz Y. Simple Noninvasive Scores Are Clinically Useful to Exclude, Not Predict, Advanced Fibrosis: A Study in Turkish Patients with Biopsy-Proven Nonalcoholic Fatty Liver Disease. Gut Liver. 2020;14(4):486–491. doi: 10.5009/gnl19173. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Yılmaz Y, Kanı HT, Demirtaş CÖ, Kaya E, Sapmaz AF, Qutranji L, et al. Growing burden of nonalcoholic fatty liver disease in Turkey: A single-center experience. Turk J Gastroenterol. 2019;30(10):892–898. doi: 10.5152/tjg.2019.19072. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Younossi ZM, Golabi P, de Avila L, Paik JM, Srishord M, Fukui N, et al. The global epidemiology of NAFLD and NASH in patients with type 2 diabetes: A systematic review and meta-analysis. J Hepatol. 2019 Oct;71(4):793–801. doi: 10.1016/j.jhep.2019.06.021. [DOI] [PubMed] [Google Scholar]
  • 7.Musso G, Gambino R, Bo S, Uberti B, Biroli G, Pagano G, et al. Should nonalcoholic fatty liver disease be included in the definition of metabolic syndrome? A cross-sectional comparison with Adult Treatment Panel III criteria in nonobese nondiabetic subjects. Diabetes Care. 2008;31(3):562–568. doi: 10.2337/dc07-1526. [DOI] [PubMed] [Google Scholar]
  • 8.Shibata M, Kihara Y, Taguchi M, Tashiro M, Otsuki M. Nonalcoholic fatty liver disease is a risk factor for type 2 diabetes in middle-aged Japanese men. Diabetes Care. 2007;30(11):2940–2944. doi: 10.2337/dc07-0792. [DOI] [PubMed] [Google Scholar]
  • 9.Day CP, James OF. Steatohepatitis: a tale of two, “hits”? Gastroenterology. 1998;114(4):842–845. doi: 10.1016/s0016-5085(98)70599-2. [DOI] [PubMed] [Google Scholar]
  • 10.Younossi ZM, Reyes MJ, Mishra A, Mehta R, Henry L. Systematic review with meta-analysis: non-alcoholic steatohepatitis-a case for personalised treatment based on pathogenic targets. Aliment Pharmacol Ther. 2014;39(1):3–14. doi: 10.1111/apt.12543. [DOI] [PubMed] [Google Scholar]
  • 11.Sumner AE, Cowie CC. Ethnic differences in the ability of triglyceride levels to identify insulin resistance. Atherosclerosis. 2008;196:696–703. doi: 10.1016/j.atherosclerosis.2006.12.018. [DOI] [PubMed] [Google Scholar]
  • 12.Bravo AA, Sheth SG, Chopra S. Liver biopsy. N Engl J Med. 2001;344(7):495–500. doi: 10.1056/NEJM200102153440706. [DOI] [PubMed] [Google Scholar]
  • 13.Bedossa P, Poitou C, Veyrie N, Bouillot JL, Basdevant A, Paradis V, et al. Histopathological algorithm and scoring system for evaluation of liver lesions in morbidly obese patients. Hepatology. 2012;56(5):1751–1759. doi: 10.1002/hep.25889. [DOI] [PubMed] [Google Scholar]
  • 14.Kleiner DE, Brunt EM, Van Natta M, Behling C, Contos MJ, Cummings OW, et al. Nonalcoholic Steatohepatitis Clinical Research Network Design and validation of a histological scoring system for nonalcoholic fatty liver disease. Hepatology. 2005;41(6):1313–1321. doi: 10.1002/hep.20701. [DOI] [PubMed] [Google Scholar]
  • 15.Bedossa P, FLIP Pathology Consortium Utility and appropriateness of the fatty liver inhibition of progression (FLIP) algorithm and steatosis, activity, and fibrosis (SAF) score in the evaluation of biopsies of nonalcoholic fatty liver disease. Hepatology. 2014;60(2):565–575. doi: 10.1002/hep.27173. [DOI] [PubMed] [Google Scholar]
  • 16.Bilgin BO, Sunbul M, Kani HT, Demirtas CO, Keklikkiran C, Yilmaz Y. Arterial stiffness is associated independently with liver stiffness in biopsy-proven nonalcoholic fatty liver disease: a transient elastography study. Eur J Gastroenterol Hepatol. 2020;32(1):54–57. doi: 10.1097/MEG.0000000000001471. [DOI] [PubMed] [Google Scholar]
  • 17.Das K, Das K, Mukherjee PS, Ghosh A, Ghosh S, Mridha AR, Dhibar T, et al. Nonobese population in a developing country has a high prevalence of nonalcoholic fatty liver and significant liver disease. Hepatology. 2010;51(5):1593–602. doi: 10.1002/hep.23567. [DOI] [PubMed] [Google Scholar]
  • 18.Jung KY, Cho SY, Kim HJ, Kim SB, Song IH. Nonalcoholic steatohepatitis associated with metabolic syndrome: relationship to insulin resistance and liver histology. J Clin Gastroenterol. 2014;48(10):883–888. doi: 10.1097/MCG.0000000000000065. [DOI] [PubMed] [Google Scholar]
  • 19.Alam S, Anam K, Islam S, Mustafa G, Mamun AA, Ahmad N. Clinical, anthropometric, biochemical and histological character of nonalcoholic fatty liver disease without Insulin Resistance. J Clin Exp Hepatol. 2019;9(2):176–181. doi: 10.1016/j.jceh.2018.06.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Kessoku T, Yoneda M, Sumida Y, Eguchi Y, Fujii H, Hyogo H, et al. Japan Study Group of NAFLD Insulin resistance correlated with the severity of liver histology in Japanese NAFLD patients: a multicenter retrospective study. J Clin Gastroenterol. 2015;49(2):169–170. doi: 10.1097/MCG.0000000000000186. [DOI] [PubMed] [Google Scholar]
  • 21.Ballestri S, Nascimbeni F, Romagnoli D, Lonardo A. The independent predictors of non-alcoholic steatohepatitis and its individual histological features: Insulin resistance, serum uric acid, metabolic syndrome, alanine aminotransferase and serum total cholesterol are a clue to pathogenesis and candidate targets for treatment. Hepatol Res. 2016;46(11):1074–1087. doi: 10.1111/hepr.12656. [DOI] [PubMed] [Google Scholar]
  • 22.Fujii H, Imajo K, Yoneda M, Nakahara T, Hyogo H, Takahashi H, et al. Japan Study Group of Nonalcoholic Fatty Liver Disease HOMA-IR: An independent predictor of advanced liver fibrosis in nondiabetic non-alcoholic fatty liver disease. J Gastroenterol Hepatol. 2019;34(8):1390–1395. doi: 10.1111/jgh.14595. [DOI] [PubMed] [Google Scholar]
  • 23.Younossi Z, Anstee QM, Marietti M, Hardy T, Henry L, Eslam M, et al. Global burden of NAFLD and NASH: trends, predictions, risk factors and prevention. Nat Rev Gastroenterol Hepatol. 2018;15(1):11–20. doi: 10.1038/nrgastro.2017.109. [DOI] [PubMed] [Google Scholar]
  • 24.Younossi ZM, Koenig AB, Abdelatif D, Fazel Y, Henry L, Wymer M. Global epidemiology of nonalcoholic fatty liver disease-Meta-analytic assessment of prevalence, incidence, and outcomes. Hepatology. 2016;64(1):73–84. doi: 10.1002/hep.28431. [DOI] [PubMed] [Google Scholar]
  • 25.Labenz C, Huber Y, Kalliga E, Nagel M, Ruckes C, Straub BK, et al. Predictors of advanced fibrosis in non-cirrhotic non-alcoholic fatty liver disease in Germany. Aliment Pharmacol Ther. 2018;48(10):1109–1116. doi: 10.1111/apt.14976. [DOI] [PubMed] [Google Scholar]
  • 26.Ulasoglu C, Enc FY, Kaya E, Yilmaz Y. Characterization of Patients with Biopsy-Proven Non-Alcoholic Fatty Liver Disease and Normal Aminotransferase Levels. J Gastrointestin Liver Dis. 2019;28(4):427–431. doi: 10.15403/jgld-293. [DOI] [PubMed] [Google Scholar]
  • 27.Alkayyali T, Qutranji L, Kaya E, Bakir A, Yilmaz Y. Clinical utility of noninvasive scores in assessing advanced hepatic fibrosis in patients with type 2 diabetes mellitus: a study in biopsy-proven non-alcoholic fatty liver disease. Acta Diabetol. 2020;57(5):613–618. doi: 10.1007/s00592-019-01467-7. [DOI] [PubMed] [Google Scholar]
  • 28.Pattnaik K, Bhuyan P, Singh A, Singh SP, Nath P, Kar S, et al. Biopsy Proven Fibrosis in Non-Alcoholic Fatty Liver Disease: An Analysis of Risk Factors. J Clin Exp Hepatol. 2018;8(4):367–374. doi: 10.1016/j.jceh.2017.12.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.McPherson S, Hardy T, Henderson E, Burt AD, Day CP, Anstee QM. Evidence of NAFLD progression from steatosis to fibrosing-steatohepatitis using paired biopsies: implications for prognosis and clinical management. J Hepatol. 2015;62(5):1148–1155. doi: 10.1016/j.jhep.2014.11.034. [DOI] [PubMed] [Google Scholar]
  • 30.Hossain IA, Rahman Shah MM, Rahman MK, Ali L. Gamma glutamyl transferase is an independent determinant for the association of insulin resistance with nonalcoholic fatty liver disease in Bangladeshi adults: Association of GGT and HOMA-IR with NAFLD. Diabetes Metab Syndr. 2016;10(1 Suppl 1):S25–29. doi: 10.1016/j.dsx.2015.09.005. [DOI] [PubMed] [Google Scholar]
  • 31.Kim D, Kim W, Joo SK, Bae JM, Kim JH, Ahmed A. Subclinical Hypothyroidism and Low-Normal Thyroid Function Are Associated With Nonalcoholic Steatohepatitis and Fibrosis. Clin Gastroenterol Hepatol. 2018;16(1):123–131.e1. doi: 10.1016/j.cgh.2017.08.014. [DOI] [PubMed] [Google Scholar]
  • 32.Slack A, Yeoman A, Wendon J. Renal dysfunction in chronic liver disease. Crit Care. 2010;14(2):214. doi: 10.1186/cc8855. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Franko A, Merkel D, Kovarova M, Hoene M, Jaghutriz BA, Heni M, et al. Dissociation of Fatty Liver and Insulin Resistance in I148M PNPLA3 Carriers: Differences in Diacylglycerol (DAG) FA18:1 Lipid Species as a Possible Explanation. Nutrients. 2018;10(9):1314. doi: 10.3390/nu10091314. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Barata L, Feitosa MF, Bielak LF, Halligan B, Baldridge AS, Guo X, et al. Insulin Resistance Exacerbates Genetic Predisposition to Nonalcoholic Fatty Liver Disease in Individuals Without Diabetes. Hepatol Commun. 2019;3(7):894–907. doi: 10.1002/hep4.1353. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Hepatology Forum are provided here courtesy of Turkish Association for the Study of the Liver

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