Literature DB >> 31975290

Free fatty acid-based low-impedance liver image: a characteristic appearance in nonalcoholic steatohepatitis (NASH).

Hitoshi Maruyama1, Kazufumi Kobayashi2, Soichiro Kiyono2, Tetsuhiro Chiba2, Naoya Kato2, Masayuki Ohtsuka3, Kazuyo Ito4, Tadashi Yamaguchi4, Shuichiro Shiina5.   

Abstract

<span class="abstract_title">BACKGROUND: To examine in vitro acoustic property of <span class="Disease">nonalcoholic fatty disease in mouse and human liver to identify nonalcoholic steatohepatitis (NASH).
METHODS: The acoustic impedance (× 106 kg/m2/s) was measured in 35 free fatty acids (FFAs, 500 mmol/L) and histologically-diagnosed liver samples of twelve mice (four control, four simple steatosis [SS], and four NASH) and eight humans (two control, three SS, and three NASH), using 80-MHz acoustic microscopy. The sum of percentage (SP) composition of FFAs (SP-FFAs) was also assessed.
RESULTS: Median impedance of all FFAs was 0.7 (5 FFAs with impedance 0.7); 17 FFAs with impedance < 0.7 were classified as low-impedance group; and, 13 FFAs with impedance > 0.7 were classified as high-impedance group. The median impedance of the mouse liver decreased from control (1.715), to SS (1.68), to NASH (1.635) (control versus NASH, p = 0.039 without significant differences for the other comparisons, p ≥ 0.1). Similarly, the median impedance of human liver showed decreased from control (1.825), to SS (1.788), to NASH (1.76) (control versus SS, p = 0.023; control versus NASH, p = 0.003; SS versus NASH, p = 0.050). The ratio of SP-FFAs between the low-impedance and high-impedance groups showed an increase in both mice and humans, with significant differences in mice (control versus SS, p < 0.001; control versus NASH, p < 0.001; SS versus NASH, p = 0.003), without significant differences in humans (p ≥ 0.671).
CONCLUSION: Lower acoustic impedance based on the intrahepatic composition of FFAs may be characteristic of NASH.

Entities:  

Keywords:  Acoustic impedance tests; Fatty acids; Liver; Nonalcoholic fatty liver disease; Ultrasonography

Mesh:

Substances:

Year:  2020        PMID: 31975290      PMCID: PMC6977798          DOI: 10.1186/s41747-019-0137-y

Source DB:  PubMed          Journal:  Eur Radiol Exp        ISSN: 2509-9280


Key points

The acoustic impedance differed according to the kinds of <span class="Chemical">free fatty acids (FFAs). The acoustic impedance of <span class="Species">mouse/<span class="Species">human liver specimen showed gradual decrease from control, to simple steatosis, to nonalcoholic steatohepatitis (NASH). The acoustic impedance and percentage composition of intrahepatic FFAs may account for the pathophysiology of lower impedance in <span class="Disease">NASH.

Background

Because of the increased incidence worldwide, <span class="Disease">nonalcoholic fatty liver disease (<span class="Disease">NAFLD) is considered one of the leading causes of chronic liver diseases [1]. Particularly, nonalcoholic steatohepatitis (NASH) is a progressive disease with potential risk for developing hepatocellular carcinoma (HCC) and portal hypertension [2, 3]. Investigators reported that early-stage NASH has a probability of 18–39% to progress to more advanced stages of hepatic fibrosis within 3.5–8.2 years [4-6]. An application of early liver biopsy is recommended, as an earlier intervention and more aggressive treatment may reduce overall mortality [6]. Thus, identification of NASH, particularly early-stage NASH, by effective imaging tools may be highly awaited in daily medical care. Recent development of digital technologies has widened the application of novel imaging tools for <span class="Disease">NAFLD, such as the xenon computed tomography [7] and multi-scale electrical impedance tomography [8]. Against the background, ultrasound (US) is the most frequently used modality for the diagnosis of <span class="Disease">liver diseases because of the simplicity and non-invasiveness. Moreover, liver stiffness measurement and quantitative assessment of fat content using US technology has become available [9]. There are three types of US-based elastography, transient elastography, point share wave elastography, and two-dimensional share wave elastography. Because of the long-term experience and specific XL-probe for obese cases, numbers of evidence support the benefits of transient elastography with well-defined quality criteria [9]. Thus, transient elastography is recommended as a tool for staging hepatic fibrosis in the current guidelines on management of NAFLD [10]. However, despite of the convenience with the integ<span class="Species">rated setting in the US equipment, the scientific evidence in favor of point or two-dimensional share wave elastography is not enough and the usefulness in the <span class="Disease">obese case has not been clarified. Therefore, they are not included in the current guidelines [9, 10]. Also, as presented in a large cohort prospective study [11], diagnostic performance to assess liver steatosis and fibrosis using controlled attenuation parameter and liver stiffness measurements by FibroScan is not satisfactory. Differentiation between simple steatosis (SS) and NASH by US-based imaging alone is still under debate. Since lower hepatic <span class="Chemical">polyunsaturated fatty acids in <span class="Disease">NASH are reported to be associated with gene expression [12], non-invasive evaluation of hepatic free fatty acids (FFAs) may have a potential to characterize NAFLD. An animal study has shown that lower acoustic impedance may feature NASH and suggested that there was a difference in the acoustic property among five different kinds of FFAs [13]. However, it is not clear whether the human liver tissues show a similar result. Furthermore, the pathophysiology of lower impedance in NASH has not been investigated. Therefore, the present study prospectively examined the acoustic property of both mouse liver and surgically resected human liver samples. We also examined the pathogenesis of acoustic changes with respect to the impedance findings of FFAs which may differ in composition between SS and NASH.

Methods

Study outline

The study firstly examined the acoustic impedance of FFAs and liver samples of <span class="Species">mice (control, SS, and <span class="Disease">NASH) and human subjects (control, SS, and NASH). Human liver samples of NASH were taken from the patients who underwent surgical treatment for HCC. To collect human liver samples with control or steatohepatitis, patients with metastatic liver tumor due to colon cancer were recruited. Secondly, the effect of percentage composition of intrahepatic FFAs on the impedance of liver sample was examined, and finally, the relationship between the impedance of the liver and the histological findings was assessed. The animal/clinical study was approved by the ethical committee of Chiba University (27-113, 339), and informed written consent was obtained from all <span class="Species">participants.

Sample preparation

Free fatty acids

The study used 35 kinds of FFAs (Table 1). Samples of FFAs for measurements were made at final concent<span class="Species">rations of 500 mmol/L, in accordance with the lite<span class="Species">rature [14].
Table 1

Impedance in free fatty acids

AcidChemical nameMeanStandard deviation
Butyric acid4:00.710.01
Caproic acid6:00.720.01
Caprylic acid8:00.710.01
Capric acid10:00.690.01
Undecanoic acid11:00.720.01
Lauric acid12:00.670.01
Tridecanoic acid13:00.710.01
Myristic acid14:00.70.01
Myristoleic acid14:10.650.01
Pentadecanoic acid15:00.690.01
Palmitic acid16:00.680.01
Palmitoleic acid16:1 (n-7)0.490.01
Heptadecanoic acid17:00.70.01
Stearic acid18:00.710.01
Oleic acid18:1 (n-9)0.720.01
Elaidic acid18:1 (n-9t)0.690.01
Linoleic acid18:2 (n-6)0.660.01
Linolelaidic acid18:2 (n-6t)0.710.01
γ-Linolenic acid18:3 (n-6)0.690.01
α-Linolenic acid18:3 (n-3)0.530.01
Arachidic acid20:00.70.01
cis-11-Eicosenoic acid20:10.720.01
cis-11,14-Eicosadienoic acid20:20.720.01
cis-8,11,14-Eicosatrienoic acid20:3 (n-6)0.70.01
cis-11,14,17-Eicosatrienoic acid20:3 (n-3)0.710.01
Arachidonic acid20:4 (n-6)0.60.01
cis-5,8,11,14,17-Eicosapentaenoic acid20:5 (n-3)0.690.01
Heneicosanoic acid21:00.710.01
Behenic acid22:00.690.01
Erucic acid22:1 (n-9)0.70.01
cis-13,16-Docosadienoic acid22:20.720.01
cis-4,7,10,13,16,19-Docosahexanoic acid22:6 (n-3)0.680.01
Tricosanoic acid23:00.530.01
Lignoceric acid24:00.680.01
Nervonic acid24:10.650.01
Impedance in <span class="Chemical">free fatty acids

Animal liver sample

The study used 6- to 10-week-old male STAMTM <span class="Species">mice, which were purchased from Stelic Institute & Co. (Charles River Labo<span class="Species">ratories, Japan, Inc.). The mouse model was established by the following protocol according to the literature [15]; 2-day-old male pups were injected with streptozotocin (200 μg per mouse) and started on a high-fat diet (HFD-32) from the age of 4 weeks. The animals developed steatosis to steatohepatitis from 6 to 8 weeks of age and fibrosis from 9 to 12 weeks of age, showing various grades of NAFLD. The study also used control mice on a control diet. All mice were euthanized by the inhalation of methoxyflurane to collect the blood sample and sacrificed to obtain liver samples, which were immediately rinsed in saline to remove blood and cut into approximately 1-mm-thick slices. Liver sample was divided into three blocks and used for (i) immediate measurement of acoustic impedance, (ii) Masson trichrome staining, and (iii) kept frozen in liquid nitrogen for FFA analysis. The microscopic findings, including a presence/absence or degree of fibrosis or steatosis, were confirmed histologically according to the criteria reported in the previous study [16].

Human liver sample

<span class="Disease">Non-tumor liver samples of <span class="Species">participants were carefully taken using surgically resected specimens. The sample was divided into three blocks (approximately 1 cm3 for each block) for (i) immediate measurement of acoustic impedance, (ii) Masson trichrome staining, and (iii) kept frozen in liquid nitrogen for FFA analysis. For impedance measurement, liver samples were immediately rinsed in saline to remove blood and cut into approximately 1-mm-thick slices. The microscopic findings, including a presence/absence or degree of fibrosis or steatosis, were confirmed histologically according to the criteria reported in a previous study [16].

Extraction of FFAs

Lipids were extracted from liver tissue (approximately 100 mg per <span class="Species">mouse/<span class="Species">human) according to Folch’s method with chloroform/methanol [17]. Total fatty acid content (free and esterified, μg/g) in the liver tissue was measured by gas chromatography (chromatography profiles) with the samples prepared by chloroform and methanol using GC-2010 Plus (Shimadzu, Kyoto, Japan).

Impedance measurement

Scanning acoustic microscopy was performed using modified AMS-50SI (Honda Denshi, 2.4 mm × 2.4 mm, point 300 × 300, average 8, range 200 mV, applied voltage 21.5 V [80 MHz]). Each FFA and fresh liver specimen on the <span class="Chemical">polystyrene subst<span class="Species">rate was scanned to provide acoustic impedance (× 106 kg/m2/s) according to the literature [13]. The sum of percentage composition of each FFA in the liver was compared with respect to the degree of the impedance level.

Statistical analysis

Parametric data are reported as mean ± standard deviation (SD), while non-parametric data are reported as median and interquartile range (IQR). Normality of continuous variables was confirmed by using Shapiro-Wilk test, and the data were compared by Student’s t test or Fisher’s protected least significant difference test. Probability values lower than 0.05 were considered to be statistically significant. The statistical values were calculated using the SAS software (SAS Institute, Inc., Cary, NC, USA).

Results

Acoustic impedance analysis of FFAs

The median value of the impedance (× 106 kg/m2/s) of all FFAs was 0.7 (range, 0.49–0.72; mean ± SD, 0.68 ± 0.056) (Table 1). The impedance of five FFAs was 0.7. In the remaining 30 FFAs, 17 FFAs with impedance lower than 0.7 were classified as the low-impedance group, and 13 FFAs with impedance higher than 0.7 were classified as the high-impedance group.

Acoustic impedance analysis of mouse liver

Liver tissue

There were twelve <span class="Species">mice in the study (Table 2), four in the control group, four in the SS group, and four in the <span class="Disease">NASH group (Fig. 1). The impedance (× 106 kg/m2/s) of the liver showed a gradual decrease from control (median 1.715, IQR 0.06), SS (median 1.68, IQR 0.05), to NASH (median 1.635, IQR 0.025), showing differences between control and SS (p = 0.554), control and NASH (p = 0.039), and SS and NASH (p = 0.113).
Table 2

Characteristics in mouse model

WeekBody weight (g)FatFibrosisImpedance
Control1030F01.75 ± 0.05
Control611F01.74 ± 0.13
Control925F01.64 ± 0.13
Control826F01.69 ± 0.08
SS6920%F01.66 ± 0.16
SS6830%F01.66 ± 0.15
SS6940%F01.70 ± 0.11
SS61040%F01.74 ± 0.06
NASH817.340%F1-21.67 ± 0.06
NASH819.140%F1-21.60 ± 0.02
NASH102020%F3-41.64 ± 0.02
NASH82030%F3-41.63 ± 0.11

Impedance (× 106 kg/m2/s), mean, and standard deviation

NASH Nonalcoholic steatohepatitis, SS Simple steatosis

Fig. 1

Images of mouse liver sample. a Control. (a-1) Masson trichrome stain of a control: no fibrosis and no steatosis; (a-2) acoustic impedance image: there is a nearly even distribution of yellow area and blue/green area; median acoustic impedance 1.74 × 106 kg/m2/s. b Simple steatosis. (b-1) Masson trichrome stain: no fibrosis with 40% fat deposition; (b-2) acoustic impedance image: the blue/green area is larger than the yellow area; median acoustic impedance 1.66 × 106 kg/m2/s. c Nonalcoholic steatohepatitis. (c-1) Masson trichrome stain: advanced fibrosis (F3 or F4) with 30% fat deposition; (c-2) acoustic impedance image: the blue/green area is dominant; median acoustic impedance 1.6 × 106 kg/m2/s

Characteristics in <span class="Species">mouse model Impedance (× 106 kg/m2/s), mean, and standard deviation <span class="Disease">NASH <span class="Disease">Nonalcoholic steatohepatitis, SS Simple steatosis Images of <span class="Species">mouse liver sample. a Control. (a-1) Masson trichrome stain of a control: no <span class="Disease">fibrosis and no steatosis; (a-2) acoustic impedance image: there is a nearly even distribution of yellow area and blue/green area; median acoustic impedance 1.74 × 106 kg/m2/s. b Simple steatosis. (b-1) Masson trichrome stain: no fibrosis with 40% fat deposition; (b-2) acoustic impedance image: the blue/green area is larger than the yellow area; median acoustic impedance 1.66 × 106 kg/m2/s. c Nonalcoholic steatohepatitis. (c-1) Masson trichrome stain: advanced fibrosis (F3 or F4) with 30% fat deposition; (c-2) acoustic impedance image: the blue/green area is dominant; median acoustic impedance 1.6 × 106 kg/m2/s

FFAs in the liver

A concent<span class="Species">ration (mg/g) of intrahepatic FFAs is summarized in Table 3. The <span class="Species">ratio of sum of percentage composition of FFAs between the low-impedance and the high-impedance groups showed gradual increases from control (median 4.45, IQR 0.65; 3.58–4.87), SS (median 7.92, IQR 0.322; 7.23–8.39), to NASH (median 9.9, IQR 0.73; 8.94–11.2), with significant differences between control and SS (p < 0.001), control and NASH (p < 0.001), and SS and NASH (p = 0.003) (Fig. 2).
Table 3

Concentration of free fatty acids in mouse liver sample

123456789101112
Contr.Contr.Contr.Contr.SSSSSSSSNASHNASHNASHNASH
C14:0LLOQLLOQLLOQLLOQ0.10.20.20.10.10.10.40.2
C15:0LLOQLLOQLLOQLLOQLLOQ0.10.1LLOQLLOQ0.1LLOQ0.1
C16:04.94.16.04.77.210.59.18.510.211.811.813.8
C16:10.20.20.40.20.10.20.40.10.22.20.41.3
C17:0LLOQ0.10.1LLOQ0.30.30.20.30.40.40.60.4
C18:02.82.33.22.83.94.43.33.61.02.11.61.8
C18:1n9c2.21.93.52.021.529.531.920.727.131.057.037.4
C18:2n6c4.93.64.63.74.47.04.45.13.82.51.44.5
C18:3n6LLOQLLOQLLOQLLOQ0.10.40.10.20.20.20.60.3
C18:3n3LLOQLLOQ0.1LLOQLLOQLLOQLLOQLLOQLLOQLLOQLLOQLLOQ
C20:1n9LLOQLLOQ0.1LLOQ0.50.30.90.30.30.40.30.5
C20:3n60.40.30.50.30.50.40.40.40.50.60.50.8
C20:4n62.22.23.92.93.63.63.53.04.24.14.94.5
C20:5n30.60.4LLOQLLOQLLOQLLOQLLOQLLOQLLOQLLOQLLOQLLOQ
C22:6n33.52.62.72.83.23.62.33.81.82.01.32.0

Data are presented as concentration (mg/g)

Contr. Control, LLOQ Lower limit of quantification, SS Simple steatosis, NASH Nonalcoholic steatohepatitis

FFAs unlisted in the table were LLOQ

Fig. 2

Acoustic impedance analysis. a Mouse. (a-1) Liver sample: the acoustic impedance (× 106 kg/m2/s) showed a gradual decrease from control (median 1.715, IQR 0.06), SS (median 1.68, IQR 0.05), to NASH (median 1.635, IQR 0.025), showing differences between control and SS (p = 0.554), control and NASH (p = 0.039), and SS and NASH (p = 0.113). (a-2) FFA in the liver: the ratio of sum of percentage composition of FFAs between the low-impedance group and the high-impedance group showed gradual increases from control (median 4.45, IQR 0.65; 3.58–4.87), SS (median 7.92, IQR 0.322; 7.23–8.39), to NASH (median 9.9, IQR 0.73; 8.94–11.2), with significant differences between control and SS (p = 0.0002), control and NASH (p < 0.001), and SS and NASH (p = 0.003). White, low-impedance group; gray, high-impedance group. Data are presented as mean and standard deviation. b Human liver sample. (b-1) Liver sample: the acoustic impedance (× 106 kg/m2/s) showed gradual decrease from control (median 1.825, IQR 0.015), SS (median 1.788, IQR 0.0045), to NASH (median 1.76, IQR 0.015), showing differences between control and SS (p = 0.023), control and NASH (p = 0.003), and SS and NASH (p = 0.050). (b-2) Free fatty acids in the liver: the ratio of sum of percentage composition of FFAs between the low-impedance group and the high-impedance group showed a gradual increase from control (median 5.7, IQR 0.012; 5.53–5.73), SS (median 5.9, IQR 0.0029; 4.23–7.75), and NASH (median 6.2, IQR 0.0021; 5.3–6.8). However, there were no significant differences between control and SS (p = 0.758), control and NASH (p = 0.671), and SS and NASH (p = 0.893). White, low-impedance group; gray, high-impedance group. Data are presented as mean and standard deviation. FFA Free fatty acid, IQR Interquartile range, NASH Nonalcoholic steatohepatitis, SS Simple steatosis

Concentration of free fatty acids in mouse liver sample Data are presented as concent<span class="Species">ration (mg/g) Contr. Control, LLOQ Lower limit of quantification, SS Simple <span class="Disease">steatosis, <span class="Disease">NASH Nonalcoholic steatohepatitis FFAs unlisted in the table were LLOQ Acoustic impedance analysis. a <span class="Species">Mouse. (a-1) Liver sample: the acoustic impedance (× 106 kg/m2/s) showed a gradual decrease from control (median 1.715, IQR 0.06), SS (median 1.68, IQR 0.05), to <span class="Disease">NASH (median 1.635, IQR 0.025), showing differences between control and SS (p = 0.554), control and NASH (p = 0.039), and SS and NASH (p = 0.113). (a-2) FFA in the liver: the ratio of sum of percentage composition of FFAs between the low-impedance group and the high-impedance group showed gradual increases from control (median 4.45, IQR 0.65; 3.58–4.87), SS (median 7.92, IQR 0.322; 7.23–8.39), to NASH (median 9.9, IQR 0.73; 8.94–11.2), with significant differences between control and SS (p = 0.0002), control and NASH (p < 0.001), and SS and NASH (p = 0.003). White, low-impedance group; gray, high-impedance group. Data are presented as mean and standard deviation. b Human liver sample. (b-1) Liver sample: the acoustic impedance (× 106 kg/m2/s) showed gradual decrease from control (median 1.825, IQR 0.015), SS (median 1.788, IQR 0.0045), to NASH (median 1.76, IQR 0.015), showing differences between control and SS (p = 0.023), control and NASH (p = 0.003), and SS and NASH (p = 0.050). (b-2) Free fatty acids in the liver: the ratio of sum of percentage composition of FFAs between the low-impedance group and the high-impedance group showed a gradual increase from control (median 5.7, IQR 0.012; 5.53–5.73), SS (median 5.9, IQR 0.0029; 4.23–7.75), and NASH (median 6.2, IQR 0.0021; 5.3–6.8). However, there were no significant differences between control and SS (p = 0.758), control and NASH (p = 0.671), and SS and NASH (p = 0.893). White, low-impedance group; gray, high-impedance group. Data are presented as mean and standard deviation. FFA Free fatty acid, IQR Interquartile range, NASH Nonalcoholic steatohepatitis, SS Simple steatosis

Acoustic impedance analysis of human liver

There were eight patients in the study (Table 4), two in the control group, three in the SS group, and three in the NASH group (Fig. 3). The impedance (× 106 kg/m2/s) of the liver also showed gradual decrease from control (median 1.825, IQR 0.015), SS (median 1.788, IQR 0.005), to NASH (median 1.76, IQR 0.015), showing differences between control and SS (p = 0.023), control and NASH (p = 0.003), and SS and NASH (p = 0.050).
Table 4

Characteristics of human subjects

AgeSexLDFatFibrosisALTT-BILALBPTPLTImpedance
(U/L)(mg/dL)(g/dL)(%)(104/μL)× 106 kg/m2/s
176M00240.54.3123241.84 ± 0.01
276M-00140.73.810413.41.81 ± 0.01
376FSS40%0200.94.510521.61.79 ± 0.01
454MSS5%0180.64.59836.11.79 ± 0.02
575MSS20%0471.249511.11.78 ± 0.014
675MNASH50%F4160.83.38711.61.74 ± 0.015
774MNASH30%F1251.23.696201.76 ± 0.01
877MNASH40%F4141.63.58513.41.77 ± 0.02

ALB Albumin, ALT Alanine aminotransferase, F Female, LD Liver disease, M Male, NASH Nonalcoholic steatohepatitis, PLT Platelet count, PT Prothrombin time, SS Simple steatosis, T-BIL Total bilirubin

Fig. 3

Images of human liver sample. a Control. (a-1) Masson trichrome stain: no fibrosis and no steatosis. (a-2) Acoustic impedance image: light yellow area and dark yellow area with a few green part; median acoustic impedance was 1.81 × 106 kg/m2/s. b Simple steatosis. (b-1) Masson trichrome stain: no fibrosis with 40% fat deposition. (b-2) Acoustic impedance image: light yellow area and dark yellow area with a few green part; median acoustic impedance was 1.78 × 106 kg/m2/s. c Nonalcoholic steatohepatitis. (c-1) Masson trichrome stain: advanced fibrosis (F3-4) with 20% fat deposition. (c-2) Acoustic impedance image: dark yellow area and green area are dominant; median acoustic impedance was 1.77 × 106 kg/m2/s

Characteristics of <span class="Species">human subjects <span class="Gene">ALB Albumin, ALT Alanine aminotransferase, F Female, LD Liver disease, M Male, NASH Nonalcoholic steatohepatitis, PLT Platelet count, PT Prothrombin time, SS Simple steatosis, T-BIL Total bilirubin Images of <span class="Species">human liver sample. a Control. (a-1) Masson trichrome stain: no <span class="Disease">fibrosis and no steatosis. (a-2) Acoustic impedance image: light yellow area and dark yellow area with a few green part; median acoustic impedance was 1.81 × 106 kg/m2/s. b Simple steatosis. (b-1) Masson trichrome stain: no fibrosis with 40% fat deposition. (b-2) Acoustic impedance image: light yellow area and dark yellow area with a few green part; median acoustic impedance was 1.78 × 106 kg/m2/s. c Nonalcoholic steatohepatitis. (c-1) Masson trichrome stain: advanced fibrosis (F3-4) with 20% fat deposition. (c-2) Acoustic impedance image: dark yellow area and green area are dominant; median acoustic impedance was 1.77 × 106 kg/m2/s Concent<span class="Species">ration (mg/g) of intrahepatic FFAs is summarized in Table 5. The <span class="Species">ratio of the sum of percentage composition of FFAs between the low-impedance group and the high-impedance group showed a gradual increase from control (median 5.7, IQR 0.012; 5.53–5.73), SS (median 5.9, IQR 0.003; 4.23–7.75), and NASH (median 6.2, IQR 0.002; median IQR; 5.3–6.8) (Fig. 2). However, there were no significant differences between control and SS (p = 0.758), control and NASH (p = 0.671), and SS and NASH (p = 0.893).
Table 5

Concentration of free fatty acid in human liver sample

Contr.Contr.SSSSSSNASHNASHNASH
C16:07.65.66.48.12.81.32.31.0
C18:1n9c5.55.55.52.01.61.31.31.7
C18:2n6c4.63.74.93.81.92.01.22.2
C18:02.82.02.43.31.63.11.12.8
C16:10.50.70.41.20.11.31.91.1
C22:6n31.91.62.22.10.51.12.21.2
C14:00.20.20.10.8LLOQ0.40.60.5
C20:4n61.71.21.52.91.31.92.51.0
C18:3n30.10.10.30.7LLOQ1.91.40.4
C20:5n30.30.20.30.2LLOQ0.10.30.3
C17:00.1LLOQLLOQ0.3LLOQLLOQ0.20.1
C20:3n60.20.10.10.30.10.20.10.1
C20:1n9LLOQ0.1LLOQLLOQLLOQLLOQ0.10.1
C15:0LLOQLLOQLLOQLLOQLLOQLLOQ0.1LLOQ
C22:0LLOQLLOQLLOQ0.1LLOQLLOQLLOQLLOQ

Data are presented as concentration (mg/g)

Contr. Control, LLOQ Lower limit of quantification, NASH Nonalcoholic steatohepatitis, SS Simple steatosis; FFAs unlisted in the table were LLOQ

Concentration of free fatty acid in human liver sample Data are presented as concent<span class="Species">ration (mg/g) Contr. Control, LLOQ Lower limit of quantification, <span class="Disease">NASH <span class="Disease">Nonalcoholic steatohepatitis, SS Simple steatosis; FFAs unlisted in the table were LLOQ

Discussion

Non-invasive characterization of <span class="Disease">NAFLD has been a clinical requirement. A demonst<span class="Species">ration of key factors to identify NASH is a considerable issue in the creation of a novel imaging tool which enables early and definite diagnosis. To the best of our knowledge, this is the first study to report the characteristics of the acoustic properties in NASH livers. The NAFLD liver samples in both mouse and human subjects are related with lower acoustic impedance, and it tended to decrease according to the disease progression, from SS to NASH. The authors stress that this unique feature should represent the potential to develop a radiological imaging alternative to liver biopsy. Although a previous study has shown that the impedance differs depending on the kind of FFAs, the data in the study were obtained with only five FFAs, <span class="Chemical">linoleate acid, α-linolenic acid, <span class="Chemical">oleate acid, palmitate acid, and palmitoleic acid [13]. The present study, with the use of 35 FFAs, further demonstrated that the impedance varies according to the kind of FFA. Moreover, by the interpretation of intrahepatic percentage composition of FFAs, the impedance of FFAs may account for the pathophysiology of lower impedance in NASH. As previously reported, there is a difference in the plasma phospholipid and FFA composition between SS and NASH [18, 19]. However, there is no relationship in the FFA composition between liver tissue and serum [18, 20], and this fact may enhance the application of radiological imaging based on intrahepatic FFAs. Identification of factors that specify the acoustic properties of FFAs may be challenging in the future. The intrahepatic FFA composition differs between control, SS, and <span class="Disease">NASH [20]. In the present study, <span class="Chemical">pentadecanoic acid, palmitic acid, palmitoleic acid, elaidic acid, and linoleic acid in the low-impedance group were elevated, and stearic acid in the high-impedance group was decreased in NASH livers. The data may be compatible with the previous report [20] and may explain the lower acoustic impedance in NASH. However, contrary to our results, the remaining six FFAs in the low-impedance group (α-linolenic acid, arachidonic acid, nervonic acid, cis-4,7,10,13,16,19-docosahexanoic acid, γ-linolenic acid, and cis-5,8,11,14,17-eicosapentaenoic acid) were reported to be decreased, and two FFAs in the high-impedance group (oleic acid and linolelaidic acid) were reported to be increased in NASH livers [20]. The differences in race between Asian and Western countries may be one of the reasons for the results. Moreover, interaction of different kinds of FFAs in the liver may affect the mutual acoustic characteristics, which needs to be determined in the future. One of the typical imaging modalities based on acoustic parameters is ultrasound elastography, an assessment tool using propagation velocity, which has attracted interest worldwide. A recent study has shown increased velocity with the degree of <span class="Disease">hepatic fibrosis and decreased velocity with the accumulation of fat [21]. However, the early stage of <span class="Disease">NASH shows less fibrosis, and the assessment of fat deposition may not be effective to differentiate between SS and NASH, suggesting the difficulty in the early diagnosis of NASH. In fact, a study performed in 164 biopsy-proven NAFLD patients [22] has shown that vibration-controlled TE could rule out advanced fibrosis and avoid the need for biopsy in at least 45% patients with NAFLD in the USA. A more well-designed prospective study reported that the model with both the liver stiffness measurement and controlled attenuation parameter had an area under the receiver operating characteristic of 0.71 in diagnosing NASH, which appears unsatisfactory [23]. Taken together, current US-based quantitative tools do not seem sufficiently sensitive to identify steatohepatitis without advanced fibrosis in patients with NAFLD. It is expected that an FFA-based impedance technique may overcome this problem because composition of FFAs shows characteristic features even in pre-cirrhotic NASH livers. A recent study [21] reported the higher impedance in fibrotic livers than in normal livers. This finding may be reasonable because the presence of <span class="Disease">fibrosis may resist sound wave propagation. Our study demonstrated that the difference of the acoustic impedance between SS and NASH was not statistically significant (p = 0.113) in mice, and that was marginal (p = 0.050) in human. The data may be explained by the influence of the presence of fibrosis on the acoustic impedance as a confounding factor. It should be further investigated whether the interrelationship between fibrosis and fat may affect the acoustic data. The major limitation of our study is that the data are based on measurements using an 80-MHz transducer using much higher frequencies than those typically used in the clinical setting. Second, the observation setting may also be far from that in the <span class="Species">human body, which shows much greater attenuation affected by the physical size and intervening tissues. Thirdly, small sample size, particularly in <span class="Species">human subjects, may limit the value of the data. The reason is that the acoustic measurement required surgically resected specimens because percutaneous biopsy samples were too small to perform the measurement. Such obstacles must be overcome for the impedance-based system to be equipped in the actual US machine. In conclusion, this study identified lower acoustic impedance in <span class="Disease">NAFLD, with the reduction appearing dominant in <span class="Disease">NASH livers. The acoustic property may be based on the intrahepatic composition of FFAs showing characteristic impedance. These data strongly encourage the practical application of this technique to identify NASH in the near future.
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1.  A simple method for the isolation and purification of total lipides from animal tissues.

Authors:  J FOLCH; M LEES; G H SLOANE STANLEY
Journal:  J Biol Chem       Date:  1957-05       Impact factor: 5.157

2.  Vibration-Controlled Transient Elastography to Assess Fibrosis and Steatosis in Patients With Nonalcoholic Fatty Liver Disease.

Authors:  Mohammad S Siddiqui; Raj Vuppalanchi; Mark L Van Natta; Erin Hallinan; Kris V Kowdley; Manal Abdelmalek; Brent A Neuschwander-Tetri; Rohit Loomba; Srinivasan Dasarathy; Danielle Brandman; Edward Doo; James A Tonascia; David E Kleiner; Naga Chalasani; Arun J Sanyal
Journal:  Clin Gastroenterol Hepatol       Date:  2018-04-26       Impact factor: 11.382

3.  Acoustic Impedance Analysis with High-Frequency Ultrasound for Identification of Fatty Acid Species in the Liver.

Authors:  Kazuyo Ito; Kenji Yoshida; Hitoshi Maruyama; Jonathan Mamou; Tadashi Yamaguchi
Journal:  Ultrasound Med Biol       Date:  2016-12-28       Impact factor: 2.998

4.  Altered hepatic gene expression in nonalcoholic fatty liver disease is associated with lower hepatic n-3 and n-6 polyunsaturated fatty acids.

Authors:  Bianca M Arendt; Elena M Comelli; David W L Ma; Wendy Lou; Anastasia Teterina; TaeHyung Kim; Scott K Fung; David K H Wong; Ian McGilvray; Sandra E Fischer; Johane P Allard
Journal:  Hepatology       Date:  2015-02-27       Impact factor: 17.425

5.  Design and validation of a histological scoring system for nonalcoholic fatty liver disease.

Authors:  David E Kleiner; Elizabeth M Brunt; Mark Van Natta; Cynthia Behling; Melissa J Contos; Oscar W Cummings; Linda D Ferrell; Yao-Chang Liu; Michael S Torbenson; Aynur Unalp-Arida; Matthew Yeh; Arthur J McCullough; Arun J Sanyal
Journal:  Hepatology       Date:  2005-06       Impact factor: 17.425

6.  The plasma lipidomic signature of nonalcoholic steatohepatitis.

Authors:  Puneet Puri; Michelle M Wiest; Onpan Cheung; Faridoddin Mirshahi; Carol Sargeant; Hae-Ki Min; Melissa J Contos; Richard K Sterling; Michael Fuchs; Huiping Zhou; Steven M Watkins; Arun J Sanyal
Journal:  Hepatology       Date:  2009-12       Impact factor: 17.425

7.  European Association for the Study of the Liver (EASL), European Association for the Study of Diabetes (EASD) and European Association for the Study of Obesity (EASO) clinical practice recommendations for the management of non-alcoholic fatty liver disease: evaluation of their application in people with Type 2 diabetes.

Authors:  A L Sberna; B Bouillet; A Rouland; M C Brindisi; A Nguyen; T Mouillot; L Duvillard; D Denimal; R Loffroy; B Vergès; P Hillon; J M Petit
Journal:  Diabet Med       Date:  2018-01-10       Impact factor: 4.359

Review 8.  A Structured Literature Review of the Epidemiology and Disease Burden of Non-Alcoholic Steatohepatitis (NASH).

Authors:  Manca Povsic; On Yee Wong; Richard Perry; Juliana Bottomley
Journal:  Adv Ther       Date:  2019-05-07       Impact factor: 3.845

9.  Linoleate appears to protect against palmitate-induced inflammation in Huh7 cells.

Authors:  Hitoshi Maruyama; Masanori Takahashi; Tadashi Sekimoto; Taro Shimada; Osamu Yokosuka
Journal:  Lipids Health Dis       Date:  2014-05-13       Impact factor: 3.876

10.  Plasma phospholipids and fatty acid composition differ between liver biopsy-proven nonalcoholic fatty liver disease and healthy subjects.

Authors:  D W L Ma; B M Arendt; L M Hillyer; S K Fung; I McGilvray; M Guindi; J P Allard
Journal:  Nutr Diabetes       Date:  2016-07-18       Impact factor: 5.097

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  1 in total

Review 1.  Basic concept and clinical applications of quantitative ultrasound (QUS) technologies.

Authors:  Tadashi Yamaguchi
Journal:  J Med Ultrason (2001)       Date:  2021-10-20       Impact factor: 1.314

  1 in total

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