Basic Study
Copyright ©The Author(s) 2024.
World J Hepatol. Jan 27, 2024; 16(1): 75-90
Published online Jan 27, 2024. doi: 10.4254/wjh.v16.i1.75
Table 1 Gene expression of markers related to hepatocarcinogenesis
Variables1
Control (n = 8)
HCC (n = 7)
RIF (n = 7)
P value
Tuba1c1.28 (0.18-2.76)4.27 (0.00-9.69)1.38 (0.29-19.8)0.839
Aldob2.46 (0.01-5.78)4.24 (0.00-9.92)0.12 (0.00-2.69)0.595
Afp1.28 (0.18-2.76)2.33 (0.00-9.69)1.38 (0.29-19.8)0.837
Mmp21.81 (0.03-5.15)31.4 (0.25-62.2)0.92 (0.16-18.4)0.101
Mmp92.36 (0.02-4.25)a23.6 (2.69-76.8)b14.6 (1.32-28.7)a,b0.035
miR-1221.14 (0.34-2.34)a7.07 (1.41-11.8)b2.62 (1.20-6.00)a,b0.005
miR-34a0.94 (0.63-1.70)b0.39 (0.33-0.44)a0.33 (0.13-0.89)a0.007
miR-26b1.04 (0.61-1.57)a, b0.36 (0.21-1.85)a2.22 (1.46-2.96)b0.026
miR-2241.05 (0.41-2.45)a, b2.97 (1.96-5.94)b0.58 (0.13-0.85)a0.005
miR-33a0.98 (0.53 – 2.16)0.60 (0.54-1.17)1.4 (0.70-1.60)0.445
miR-1431.18 (0.25-3.67)1.40 (0.54-5.16)0.62 (0.17-2.54)0.471
miR-1551.46 (0.32-1.96)0.63 (0.01-1.18)0.34 (0.04-1.46)0.074
miR-3750.79 (0.61-2.42)0.85 (0.17-1.09)0.38 (0.14-1.76)0.216
miR-211.12 (0.34-2.13)1.49 (0.91-6.08)1.69 (0.84-3.68)0.188
Table 2 Correlations between hepatocarcinogenesis, autophagy and epigenetic markers
Variables1
microRNAs
Hepatocarcinogenesis
Autophagy and Epigenetic
miR-26b
miR-224
miR-34a
Mmp2
Mmp9
Afp
Tuba1c
Aldob
Becn1
p62/Sqstm1
Map1lc3b
Ezh2
Carm1
p62 protein
MAP1LC3B protein
microRNAsmiR-122-0.2350.0750.400a0.1950.422-0.1890.0850.030-0.502a-0.673b-0.554a-0.760b-0.375-0.2450.017
miR-26b-0.3600.538a-0.0710.2030.199-0.090-0.113-0.0890.164-0.047-0.0050.525a-0.1240.186
miR-224-0.1950.041-0.241-0.2010.0250.153-0.298-0.0220.032-0.061-0.335-0.007-0.393
miR-34a0.1100.4260.1230.110-0.127-0.461a-0.340-0.612b-0.584b0.181-0.400-0.191
HepatocarcinogenesisMmp20.742b0.704b0.957b0.548b-0.321-0.133-0.321-0.361-0.286-0.318-0.368
Mmp90.521a0.703b0.292-0.398-0.276-0.351-0.586b-0.278-0.547a-0.229
Afp0.702b0.468a-0.0860.049-0.1730.038-0.073-0.328-0.078
Tuba1c0.644b-0.324-0.058-0.281-0.350-0.282-0.258-0.246
Aldob-0.137-0.0420.1860.111-0.314-0.0320.174
Autophagy and EpigeneticBecn10.541b0.771b0.597b0.4330.631b0.302
p62/Sqstm10.657b0.609b0.4590.554a0.265
Map1lc3b0.718b0.2300.512a0.343
Ezh20.2880.3420.253
Carm10.185-0.044
p62 protein0.406
Table 3 Distribution of liver histopathological findings according to general non-alcoholic fatty liver disease scoring system for rodent models, n (%)
Variable1
Control (n = 8)
HCC (n = 7)
RIF (n = 7)
No MASLD8 (100)0 (0.0)0 (0.0)
MASLD0 (0.0)0 (0.0)0 (0.0)
MASH0 (0.0)7 (100)7 (100)
Table 4 Comparison between animals in the rifaximin-group that developed or not hepatocellular carcinoma
Variables1Developed HCC (n = 4), median (min–max)Did not developed HCC (n = 3), median (min–max)P value
miR-1222.27 (1.20–4.57)2.97 (1.51–5.98)0.571
miR-3750.42 (0.14–1.76)0.33 (0.30–0.67)1.000
miR-26b1.97 (1.10–3.38)2.41 (1.97–3.99)0.571
miR-2240.46 (0.13–0.85)0.58 (0.46–0.82)0.857
miR-3411.0 (7.17–18.9)10.0 (8.64–10.5)0.786
miR-212.36 (0.84–3.68)1.68 (1.00–1.69)0.700
miR-1430.76 (0.17–2.53)0.48 (0.25–1.96)1.000
miR-1550.69 (0.06–1.46)0.13 (0.03–0.36)0.250
miR-33a0.88 (0.52–1.86)1.55 (1.40–1.58)0.400
Mm27.95 (0.58–18.4)0.71 (0.16–0.92)0.229
Mm924.0 (1.32–28.7)8.48 (1.73–14.6)0.400
Afp6.99 (1.38–19.8)0.46 (0.29–0.48)0.057
Tuba1c4.63 (0.30–7.12)0.26 (0.25–0.30)0.057
Aldob2.32 (0.11–2.69)0.07 (0.00–0.12)0.114
Becn10.70 (0.67–0.85)0.74 (0.66–0.76)1.000
p62/Sqstm10.84 (0.54–0.98)0.72 (0.64–0.79)0.629
Map1lc3b0.24 (0.22–0.35)0.27 (0.21–0.29)1.000
Ezh229.0 (28.0–30.1)27.5 (27.2–28.0)0.114
Carm10.79 (0.77–1.67)1.23 (1.08–1.68)0.400
p62/SQSTM1 protein1.07 (0.16–2.89)1.78 (1.19–2.36)0.355
MAP1LC3B protein2.00 (0.87–4.78)2.20 (0.86–3.57)0.643
Table 5 Comparison between the animals that developed and did not develop hepatocellular carcinoma
Variables1HCC (n = 11), median (min–max)No HCC (n = 11), median (min–max)P value
miR-1224.49 (1.20–11.8)1.41 (0.34–5.98)0.029a
miR-3750.64 (0.14–1.76)0.72 (0.30–2.42)0.512
miR-26b1.10 (0.46–3.38)1.23 (0.59–3.99)0.656
miR-2241.40 (0.13–5.94)0.82 (0.41–2.45)0.545
miR-34a7.73 (2.29–18.9)1.79 (0.14–10.5)0.012a
miR-211.92 (0.84–6.08)1.46 (0.34–2.13)0.109
miR-1431.08 (0.17–5.16)1.13 (0.25–3.67)0.756
miR-1550.66 (0.01–1.46)0.60 (0.03–1.95)0.349
miR-33a0.66 (0.52–1.86)1.40 (0.34–2.64)0.200
Mm218.4 (0.25–62.2)1.17 (0.03–5.15)0.017a
Mm923.6 (1.32–76.8)2.76 (0.02–14.6)0.013a
Afp3.23 (0.00–19.8)0.62 (0.18–2.76)0.190
Tuba1c7.12 (0.12–27.8)0.76 (0.12–3.71)0.017a
Aldob2.32 (0.00–9.92)1.35 (0.00–5.78)0.549
Becn10.68 (0.44–0.87)0.88 (0.66–1.39)0.004a
p62/Sqstm10.65 (0.32–1.06)0.92 (0.59–1.31)0.052
Map1lc3b0.25 (0.19–0.37)0.86 (0.21–1.53)0.004a
Ezh228.4 (25.8–30.1)30.2 (27.2–31.8)0.010a
Carm10.69 (0.37–1.67)1.10 (0.56–1.68)0.026a
p62/SQSTM1 protein1.27 (0.16–2.39)2.87 (1.19–9.12)0.013a
MAP1LC3B protein1.29 (0.57–4.78)2.10 (0.86–5.05)0.183

  • Citation: Michalczuk MT, Longo L, Keingeski MB, Basso BS, Guerreiro GTS, Ferrari JT, Vargas JE, Oliveira CP, Uribe-Cruz C, Cerski CTS, Filippi-Chiela E, Álvares-da-Silva MR. Rifaximin on epigenetics and autophagy in animal model of hepatocellular carcinoma secondary to metabolic-dysfunction associated steatotic liver disease. World J Hepatol 2024; 16(1): 75-90
  • URL: https://www.wjgnet.com/1948-5182/full/v16/i1/75.htm
  • DOI: https://dx.doi.org/10.4254/wjh.v16.i1.75