The rate of IFNL3 and MTTP genes polymorphism in β-thalassemia major patients infected with hepatitis C virus treated with ledipasvir-sofosbuvir

نوع مقاله : پژوهشی- انگلیسی

نویسندگان

1 Department of Cell and Molecular Biology & Microbiology, Faculty of Biological Science and Technology, University of Isfahan, Isfahan, Iran.

2 Department of Cell and Molecular Biology & Microbiology, Faculty of Biological Science and Technology, University of Isfahan, Hezar Jereeb Street, 81746-73441, Isfahan, Iran

3 Middle Technical University, Department of Medical Laboratory, Institute of Technical-Suwaira, Iraq.

10.22108/bjm.2025.146169.1645

چکیده

The main goal of the present study was to investigate the prevalence of interferon lambda 3 (IFNL3) and microsomal triglyceride transfer protein (MTTP) encoding gene polymorphism among thalassemia patients infected with HCV. The frequency of IFNL3 and MTTP encoding gene polymorphism in 79 thalassemia patients infected with HCV and their correlation with the treatment outcome using ledipasvir/sofosbuvir was investigated. Single nucleotide polymorphism detection confirmed the GT, TT, and GG (rs1800591) polymorphism of the synthesized MTTP gene fragment and AT, AA, and TT (rs8113007) and TG, TT, and GG (rs8099917) polymorphisms of the synthesized IFNL3 gene fragment. GG was the most frequent allele of rs1800591 in both males and females followed by GT allele which was 11.39% in males and 19% in females. The TT allele of rs8099917 was the most prevalent (37% in females and 25% in males), and the GG allele was the least frequent. Also, the AT allele was more prevalent than the AA and TT alleles of rs8113007. No significant correlation was observed between the SNPs detected and the treatment outcome. The GG allele of the MTTP gene was the most effective allele involved in decreasing the ALT, AST, and ALP enzymes. For IFNL3 (rs8099917) and IFNL3 (rs8113007), the TT and AT alleles were the most effective alleles for the ALP enzyme levels, respectively. It seems that there is a correlation between the frequent alleles detected and liver enzymes.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

The rate of IFNL3 and MTTP genes polymorphism in β-thalassemia major patients infected with hepatitis C virus treated with ledipasvir-sofosbuvir

نویسندگان [English]

  • Hussein Sattar Abbood 1
  • Majid Bouzari 2
  • Abbas Soleimani-Delfan 1
  • Hussam Sami Awayid 3
1 Department of Cell and Molecular Biology & Microbiology, Faculty of Biological Science and Technology, University of Isfahan, Isfahan, Iran.
2 Department of Cell and Molecular Biology & Microbiology, Faculty of Biological Science and Technology, University of Isfahan, Hezar Jereeb Street, 81746-73441, Isfahan, Iran
3 Middle Technical University, Department of Medical Laboratory, Institute of Technical-Suwaira, Iraq.
چکیده [English]

The main goal of the present study was to investigate the prevalence of interferon lambda 3 (IFNL3) and microsomal triglyceride transfer protein (MTTP) encoding gene polymorphism among thalassemia patients infected with HCV. The frequency of IFNL3 and MTTP encoding gene polymorphism in 79 thalassemia patients infected with HCV and their correlation with the treatment outcome using ledipasvir/sofosbuvir was investigated. Single nucleotide polymorphism detection confirmed the GT, TT, and GG (rs1800591) polymorphism of the synthesized MTTP gene fragment and AT, AA, and TT (rs8113007) and TG, TT, and GG (rs8099917) polymorphisms of the synthesized IFNL3 gene fragment. GG was the most frequent allele of rs1800591 in both males and females followed by GT allele which was 11.39% in males and 19% in females. The TT allele of rs8099917 was the most prevalent (37% in females and 25% in males), and the GG allele was the least frequent. Also, the AT allele was more prevalent than the AA and TT alleles of rs8113007. No significant correlation was observed between the SNPs detected and the treatment outcome. The GG allele of the MTTP gene was the most effective allele involved in decreasing the ALT, AST, and ALP enzymes. For IFNL3 (rs8099917) and IFNL3 (rs8113007), the TT and AT alleles were the most effective alleles for the ALP enzyme levels, respectively. It seems that there is a correlation between the frequent alleles detected and liver enzymes.

کلیدواژه‌ها [English]

  • Hepatitis C virus
  • Thalassemia
  • Single nucleotide polymorphism (SNP)
  • IFNL3
  • MTTP
  • Ledipasvir-sofosbuvir
  1. Introduction

Chronic hepatitis C virus (HCV) infection is one of the most prevalent viral diseases across the world. Based on the WHO report, globally, an estimated 58 million people have chronic HCV infection, with about 1.5 million new infections occurring per year. However, HCV infection prevalence varies geographically (0.6%-10%), and the number of deaths attributable to HCV-related infection is high (1,2). HCV may progress toward cirrhosis and hepatocellular carcinoma. Furthermore, extrahepatic manifestations such as type II ‘mixed’ cryoglobulinemia (MC) and non- Hodgkin lymphoma (NHL) may be associated with HCV infection and exhibit immune-mediated pathogenesis in HCV-infected individuals (3). Viral transmission occurs mainly through receiving blood and blood products, like plasma from infected persons. The risk of HCV infection in patients with particular diseases, such as thalassemia and hemophilia are significantly high. This risk is due to the possibility of blood transfusion from donors with HCV infection (4, 5). IFNL3, also known as interferon λ-3, is an important cytokine that helps defend the body against viral infections. It is involved in the clearance of HCV from the blood and the success of antiviral therapy against HCV (6). During the last two decades, HCV therapy has developed from interferon-α (IFNα) to combination therapy with ribavirin (RBV), followed by a combination of pegylated-IFN (PEG-IFN) and RBV therapy, known as pegylated-interferon-ribavirin (PEG-IFN-RBV) therapy, in chronic hepatitis C cases. The use of ledipasvir/sofosbuvir in chronic hepatitis C treatment has been approved in several countries. High sustained virological response (SVR) rates have been reported after 12 weeks (7).  The main goal of these treatment strategies is to enhance the SVR. The effectiveness of ledipasvir/sofosbuvir (Harvoni®; Gilead Sciences, Inc., Foster City, CA, USA) in the treatment of HCV infections has been well established (8). However, the impact of genetic polymorphisms in the IFNL3 and MTTP genes on the efficacy of ledipasvir/sofosbuvir remains uncertain. In addition to IFNL3, other factors, including MTTP and superoxide dismutase 2 (SOD2), may be involved in the body's response to HCV infection and its side effects, like fibrosis (9). MTTP is most prevalent in the endoplasmic reticulum of liver tissue, where it catalyzes the transport of phospholipids, triglycerides and, cholesteryl esters between phospholipid surfaces (10). Because HCV infection exerts MTTP accumulation in the liver by downregulation of the ATP-dependent RNA helicase, it is concluded that HCV infection affects the expression of genes involved in fatty acid metabolism (11). An association has been detected between the IFNL3 single nucleotide polymorphism (SNP) and an elevated SVR following antiviral therapy, as reported in a number of publications (12). The rs4803217 SNP emerges as a noteworthy and potent determinant in the prognosis of HCV genotype 1 infection in CHC (Chronic Hepatitis C) patients undergoing treatment with PEG-IFN-α (Pegylated Interferon-Alpha) and RBV (13). The analysis of 12 SNPs in 740 patients for IFNL3/4 indicated that distinct SNPs, including rs12979860-CC, rs8109886-CC, and rs8099917-TT, serve as predictive markers for SVR, with rs12979860-CC demonstrating a particularly potent effect (14). Although various studies have delved into the valuable research on the impact of MTTP and IFNL3 polymorphisms on the treatment of HCV infection using antiviral drugs such as RBV, the presence of polymorphisms in the IFNL3 gene, and the A/T (rs8113007) and G/T (rs8099917) polymorphisms of the synthesized IFNL3 gene fragment on the effectiveness of treatment with ledipasvir/sofosbuvir remains ambiguous. Furthermore, the influence of MTTP polymorphisms on HCV treatment and viral clearance when combined with ledipasvir/ sofosbuvir remains unclear. Despite developments in blood screening methods to decrease the risk of transfusion-transmitted infections, blood-borne hepatitis C remains an important challenge in patients with thalassemia (4). Recently, Khudhair et al. (2020) detected the prevalence of HCV among a total of 1650 Iraqi individuals, including hemodialysis and thalassemia patients, blood donors, and medical staff. The highest frequency was recorded among thalassemia patients (15). The importance of host genetic variation for spontaneous clearance and treatment response in HCV-infected individuals has been confirmed by genome wide‑scale studies (16, 17). The aim of this study was to investigate the prevalence of IFNL3 and MTTP encoding gene polymorphism among thalassemia patients infected with HCV and its possible correlation with SVR when ledipasvir/ sofosbuvir is used for the treatment in Wasit Province, Iraq.

  1. Materials and Methods
    • Sample collection

This cross-sectional study was carried out following the Helsinki Declaration (Ethical Principles for Medical Research Involving Human Subjects), and was approved by the University of Isfahan ethics committee (IR.UI.REC.1402.033) and the Ministry of Health of Iraq. Informed consent were obtained from all patients. Blood samples were collected from 2019 to 2021 in the Wasit province of Iraq. A total of 79 samples were collected (48 females and 31 males). Serum concentrations of the liver enzymes including alanine transaminase (ALT), aspartate transaminase (AST), and alkaline phosphatase (ALP), were measured at baseline and ≥12 weeks after the end of drug therapy. Cut points for enzyme levels were considered as ALT ≤ 45 UL-1, AST ≤ 45 UL-1, and ALP 35-85 UL-1 (Reference range from Thalassemia Center of Wasit, Iraq). All patients received a fixed dose of a combination tablet of 90 mg ledipasvir/400 mg sofosbuvir, administered orally once daily for 12 weeks. Also, demographic data were recorded and provided in Table 1.

Table 1. Demographic data of the patients tested in Wasit province,Iraq.

Liver Enzymes After

Treatment

 

Liver Enzymesc

Before Treatment

 


Treatment

 

MTTP GENE

ID: 4547

 

IFNL3

GENE

ID: 282617

 

HCV

Thalassemia

Age

Sex

Cases

ALP

SGOT

SGPT

 

ALP

SGOT

SGPT

 

HARVONYb

VIT C,D+ ZINCa

 

rs: 1800591

 

rs: 8099917

rs: 8113007

 

Viral load

Infection

History

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

GG

G>T

 

TT

T>G

AA

A>T

 

 

 

 

 

 

 

 

99

55

90

 

141

67

97

 

Harvony

VIT C,D+ ZINC

 

GT

 

TT

AA

 

Detectable

Positive

2019

Positive

24

F

1

105

62

110

 

133

70

119

 

Harvony

VIT C,D+ ZINC

 

TT

 

TG

AT

 

Detectable

Positive

2021

Positive

28

F

2

90

40

60

 

116

41

74

 

Harvony

VIT C,D+ ZINC

 

GG

 

TT

AA

 

Detectable

Positive

2020

Positive

29

F

3

120

95

130

 

93

45

67

 

Harvony

VIT C,D+ ZINC

 

GG

 

TT

AA

 

Detectable

Positive

2021

Positive

32

M

4

98

82

80

 

131

94

139

 

Harvony

VIT C,D+ ZINC

 

GG

 

TG

AT

 

Detectable

Positive

2019

Positive

19

M

5

210

80

82

 

168

89

70

 

Harvony

VIT C,D+ ZINC

 

GG

 

TT

AT

 

Detectable

Positive

2021

Positive

23

F

6

99

70

68

 

101

86

89

 

Harvony

VIT C,D+ ZINC

 

GT

 

TT

AT

 

Detectable

Positive

2020

Positive

20

M

7

110

88

70

 

118

80

86

 

Harvony

VIT C,D+ ZINC

 

GG

 

TG

TT

 

Detectable

Positive

2020

Positive

29

F

8

104

82

80

 

216

117

77

 

Harvony

VIT C,D+ ZINC

 

TT

 

TT

AA

 

Detectable

Positive

2019

Positive

26

F

9

98

56

58

 

285

77

56

 

Harvony

VIT C,D+ ZINC

 

GT

 

TT

AT

 

Detectable

Positive

2019

Positive

21

F

10

85

40

45

 

113

27

23

 

Harvony

VIT C,D+ ZINC

 

GG

 

TT

AT

 

Detectable

Positive

2021

Positive

30

F

11

90

42

40

 

111

114

141

 

Harvony

VIT C,D+ ZINC

 

TT

 

TT

AA

 

Detectable

Positive

2021

Positive

18

F

12

85

43

42

 

104

42

32

 

Harvony

VIT C,D+ ZINC

 

GG

 

TG

AT

 

Detectable

Positive

2019

Positive

24

F

13

80

24

22

 

109

103

138

 

Harvony

VIT C,D+ ZINC

 

GG

 

TT

AA

 

Detectable

Positive

2019

Positive

19

M

14

82

22

20

 

232

14

16

 

Harvony

VIT C,D+ ZINC

 

GT

 

TG

TT

 

Detectable

Positive

2020

Positive

28

M

15

80

56

55

 

160

50

59

 

Harvony

VIT C,D+ ZINC

 

GG

 

TT

AA

 

Detectable

Positive

2021

Positive

31

M

16

85

35

40

 

109

60

64

 

Harvony

VIT C,D+ ZINC

 

GG

 

TG

AT

 

Detectable

Positive

2021

Positive

25

M

17

105

60

70

 

77

60

76

 

Harvony

VIT C,D+ ZINC

 

GG

 

TT

AT

 

Detectable

Positive

2021

Positive

20

M

18

110

72

80

 

219

92

193

 

Harvony

VIT C,D+ ZINC

 

TT

 

TG

AT

 

Detectable

Positive

2019

Positive

27

F

19

120

93

92

 

393

85

111

 

Harvony

VIT C,D+ ZINC

 

GT

 

GG

AT

 

Detectable

Positive

2019

Positive

32

F

20

105

86

85

 

146

67

42

 

Harvony

VIT C,D+ ZINC

 

GG

 

TG

AT

 

Detectable

Positive

2019

Positive

22

F

21

90

43

42

 

144

26

28

 

Harvony

VIT C,D+ ZINC

 

GG

 

TT

AA

 

Detectable

Positive

2020

Positive

29

M

22

92

114

110

 

130

74

82

 

Harvony

VIT C,D+ ZINC

 

GT

 

TT

AT

 

Detectable

Positive

2020

Positive

19

M

23

105

86

88

 

360

140

112

 

Harvony

VIT C,D+ ZINC

 

GT

 

TT

AT

 

Detectable

Positive

2021

Positive

24

F

24

85

42

22

 

206

12

18

 

Harvony

VIT C,D+ ZINC

 

GG

 

TT

AA

 

Detectable

Positive

2021

Positive

21

M

25

80

32

40

 

216

100

72

 

Harvony

VIT C,D+ ZINC

 

GG

 

TT

AT

 

Detectable

Positive

2021

Positive

30

F

26

105

98

90

 

154

85

86

 

Harvony

VIT C,D+ ZINC

 

GT

 

GG

TT

 

Detectable

Positive

2019

Positive

23

F

27

103

67

77

 

164

90

92

 

Harvony

VIT C,D+ ZINC

 

GT

 

TG

AT

 

Detectable

Positive

2019

Positive

28

F

28

110

72

70

 

166

92

85

 

Harvony

VIT C,D+ ZINC

 

GG

 

TT

AA

 

Detectable

Positive

2021

Positive

19

F

29

98

83

80

 

180

102

92

 

Harvony

VIT C,D+ ZINC

 

GT

 

TG

AT

 

Detectable

Positive

2021

Positive

24

M

30

110

82

80

 

128

72

81

 

Harvony

VIT C,D+ ZINC

 

GT

 

TT

AT

 

Detectable

Positive

2019

Positive

28

F

31

98

70

90

 

103

58

60

 

Harvony

VIT C,D+ ZINC

 

GT

 

TT

AA

 

Detectable

Positive

2020

Positive

22

F

32

90

82

80

 

90

53

52

 

Harvony

VIT C,D+ ZINC

 

GT

 

TT

AT

 

Detectable

Positive

2021

Positive

26

M

33

85

46

45

 

112

79

68

 

Harvony

VIT C,D+ ZINC

 

GT

 

TG

AT

 

Detectable

Positive

2019

Positive

18

F

34

80

32

33

 

101

46

42

 

Harvony

VIT C,D+ ZINC

 

GG

 

TT

AT

 

Detectable

Positive

2019

Positive

32

F

35

82

34

36

 

108

70

67

 

Harvony

VIT C,D+ ZINC

 

GG

 

TT

AA

 

Detectable

Positive

2019

Positive

23

F

36

81

38

37

 

85

45

40

 

Harvony

VIT C,D+ ZINC

 

GT

 

TG

AT

 

Detectable

Positive

2021

Positive

29

F

37

85

44

45

 

99

79

68

 

Harvony

VIT C,D+ ZINC

 

GG

 

TG

AT

 

Detectable

Positive

2021

Positive

20

F

38

97

88

86

 

201

118

110

 

Harvony

VIT C,D+ ZINC

 

GG

 

TT

AA

 

Detectable

Positive

2020

Positive

25

M

39

80

42

40

 

160

67

88

 

Harvony

VIT C,D+ ZINC

 

GG

 

TT

AA

 

Detectable

Positive

2019

Positive

30

F

40

90

31

36

 

210

122

120

 

Harvony

VIT C,D+ ZINC

 

TT

 

TG

TT

 

Detectable

Positive

2019

Positive

19

F

41

73

22

21

 

100

60

68

 

Harvony

VIT C,D+ ZINC

 

GG

 

TT

AA

 

Detectable

Positive

2020

Positive

21

M

42

72

16

15

 

200

122

130

 

Harvony

VIT C,D+ ZINC

 

GT

 

TG

AT

 

Detectable

Positive

2021

Positive

23

M

43

70

20

18

 

104

82

91

 

Harvony

VIT C,D+ ZINC

 

TT

 

TT

AT

 

Detectable

Positive

2021

Positive

26

F

44

80

14

16

 

154

70

69

 

Harvony

VIT C,D+ ZINC

 

GG

 

TT

AA

 

Detectable

Positive

2019

Positive

28

F

45

83

22

21

 

120

56

88

 

Harvony

VIT C,D+ ZINC

 

GG

 

TG

TT

 

Detectable

Positive

2019

Positive

32

M

46

110

82

80

 

85

44

45

 

Harvony

VIT C,D+ ZINC

 

GG

 

GG

TT

 

Detectable

Positive

2019

Positive

19

F

47

120

86

88

 

91

42

67

 

Harvony

VIT C,D+ ZINC

 

GG

 

TT

AA

 

Detectable

Positive

2021

Positive

22

M

48

110

92

96

 

199

110

120

 

Harvony

VIT C,D+ ZINC

 

GT

 

TT

AT

 

Detectable

Positive

2021

Positive

25

M

49

120

112

110

 

198

140

155

 

Harvony

VIT C,D+ ZINC

 

GG

 

TT

AT

 

Detectable

Positive

2020

Positive

27

F

50

86

42

40

 

122

108

104

 

Harvony

VIT C,D+ ZINC

 

GG

 

TT

AA

 

Detectable

Positive

2021

Positive

30

M

51

80

33

40

 

100

87

86

 

Harvony

VIT C,D+ ZINC

 

GG

 

TT

AA

 

Detectable

Positive

2021

Positive

29

F

52

92

31

36

 

110

78

88

 

Harvony

VIT C,D+ ZINC

 

GG

 

TT

TT

 

Detectable

Positive

2019

Positive

20

M

53

100

22

37

 

90

52

66

 

Harvony

VIT C,D+ ZINC

 

GT

 

GG

TT

 

Detectable

Positive

2019

Positive

18

F

54

85

27

26

 

105

92

96

 

Harvony

VIT C,D+ ZINC

 

TT

 

TT

AA

 

Detectable

Positive

2019

Positive

31

F

55

86

71

66

 

122

112

111

 

Harvony

VIT C,D+ ZINC

 

GG

 

TT

AA

 

Detectable

Positive

2020

Positive

21

F

56

70

21

22

 

200

105

100

 

Harvony

VIT C,D+ ZINC

 

GG

 

TT

AA

 

Detectable

Positive

2021

Positive

28

F

57

80

22

21

 

150

106

105

 

Harvony

VIT C,D+ ZINC

 

GG

 

TT

AT

 

Detectable

Positive

2021

Positive

24

M

58

100

84

85

 

112

82

91

 

Harvony

VIT C,D+ ZINC

 

TT

 

TG

AT

 

Detectable

Positive

2021

Positive

26

M

59

98

62

70

 

200

130

120

 

Harvony

VIT C,D+ ZINC

 

GT

 

TT

AT

 

Detectable

Positive

2019

Positive

19

F

60

120

112

110

 

88

45

46

 

Harvony

VIT C,D+ ZINC

 

GG

 

TG

AT

 

Detectable

Positive

2019

Positive

23

M

61

80

32

40

 

105

76

88

 

Harvony

VIT C,D+ ZINC

 

GG

 

TG

AT

 

Detectable

Positive

2021

Positive

22

F

62

81

22

40

 

104

77

67

 

Harvony

VIT C,D+ ZINC

 

TT

 

TT

AT

 

Detectable

Positive

2021

Positive

19

M

63

82

22

16

 

254

200

210

 

Harvony

VIT C,D+ ZINC

 

GT

 

TT

AA

 

Detectable

Positive

2021

Positive

23

M

64

77

46

56

 

105

87

86

 

Harvony

VIT C,D+ ZINC

 

TT

 

TT

AA

 

Detectable

Positive

2021

Positive

25

F

65

70

26

36

 

90

42

46

 

Harvony

VIT C,D+ ZINC

 

TT

 

TG

AT

 

Detectable

Positive

2020

Positive

28

F

66

60

32

31

 

108

77

67

 

Harvony

VIT C,D+ ZINC

 

GT

 

TG

TT

 

Detectable

Positive

2019

Positive

30

M

67

60

38

37

 

89

56

55

 

Harvony

VIT C,D+ ZINC

 

GT

 

TT

AA

 

Detectable

Positive

2019

Positive

18

F

68

66

32

40

 

85

49

54

 

Harvony

VIT C,D+ ZINC

 

TT

 

TG

AT

 

Detectable

Positive

2019

Positive

21

M

69

62

42

40

 

89

46

45

 

Harvony

VIT C,D+ ZINC

 

TT

 

TG

AT

 

Detectable

Positive

2021

Positive

29

M

70

110

72

88

 

160

112

110

 

Harvony

VIT C,D+ ZINC

 

GT

 

TT

AA

 

Detectable

Positive

2021

Positive

20

F

71

89

46

45

 

120

80

67

 

Harvony

VIT C,D+ ZINC

 

GG

 

TT

AA

 

Detectable

Positive

2019

Positive

24

M

72

88

42

40

 

107

86

79

 

Harvony

VIT C,D+ ZINC

 

TT

 

TT

AT

 

Detectable

Positive

2019

Positive

27

F

73

87

32

31

 

112

80

88

 

Harvony

VIT C,D+ ZINC

 

GG

 

TT

AA

 

Detectable

Positive

2020

Positive

31

M

74

90

44

45

 

87

42

44

 

Harvony

VIT C,D+ ZINC

 

GG

 

TT

AA

 

Detectable

Positive

2021

Positive

18

F

75

110

86

96

 

155

120

133

 

Harvony

VIT C,D+ ZINC

 

GG

 

TG

TT

 

Detectable

Positive

2019

Positive

22

F

76

160

123

120

 

180

222

210

 

Harvony

VIT C,D+ ZINC

 

GG

 

TG

AT

 

Detectable

Positive

2021

Positive

26

F

77

160

112

110

 

199

234

222

 

Harvony

VIT C,D+ ZINC

 

GT

 

TG

AT

 

Detectable

Positive

2020

Positive

30

F

78

170

115

110

 

288

250

224

 

Harvony

VIT C,D+ ZINC

 

TT

 

TT

AA

 

Detectable

Positive

2019

Positive

21

F

79

F: female;  M: male;  a: Vit. C 1000mg +Vit. D 6000 IU + Zinc 50mg, one tablet daily for one month;  b: 90mg/400mg ledipasvir/ sofosbuvir, one tablet daily for 12 weeks;  c: SGPT normal values < 45 U/L, SGOT normal values < 45 U/L, AL P normal values 35-85 U/L.

  • DNA extraction and polymerase chain reaction (PCR)

A blood sample of 2 ml was withdrawn from the participants and placed in a sterile tube containing ethylenediaminetetraacetic acid (EDTA) under aseptic conditions and used for genomic DNA purification using ReliaPrep™ Blood gDNA Miniprep System Kit (Promega, USA). The quality and quantity of the DNA samples were assessed using 1.5% agarose gel electrophoresis and the Quantus™ Fluorometer (Promega, USA). PCR was performed using the extracted genomic DNA, primers, and GoTaq Green Master Mix (Promega, USA) and nuclease-free water (Promega, USA) in a final volume of 25 µl. The primer sequences used are listed in Table 2.

Table 2. The primers used for PCR in the current study

Primers

Sequence (5′ -3′)

Annealing (°C)

Product (bp)

MTTP-F

AGTTTCACACATAAGGACAATCATCTA

58

109

MTTP-R

GGATTTAAATTTAAACTGTTAATTCATATCAC

 

 

IFNL3-F

CATCCCACTTCTGGAACAAATC

60

400

IFNL3-R

GTATCAACCCCACCTCAAATTATC

 

 

Amplification reaction was performed using thermal cycler (Thermo Fisher Scientific, USA). It included a cycle of initial denaturation at 95 °C for 5 min, and then 30 cycles of denaturation at 95 °C for 30 s, annealing at 58 °C for MTTP and 60 °C for IFNL3 for 30 s, and extension at 72 °C for 30 s, followed by a cycle of final extension at 72 °C for 7 min. PCR products were assessed using 1.5% agarose gel electrophoresis and the Quantus™ Fluorometer. Finally, PCR products were sequenced by Sanger sequencing using ABI3730XL, an automated DNA sequencer (Macrogen, South Korea). The nucleotide sequences were analyzed using Geneious software version 11.1 (Biomatters, Auckland, NZ) for sequence alignments and SNP allele detection. Serum HCV RNA was quantified using a Hepatitis C (HCV RNA) PCR Kit (sensitivity, 13 IU/ml), SACACE BIOTECHNOLOGIES, Italy.

  • Statistical analyses

The obtained data were analyzed using GraphPad Prism version 8.3.0 with paired t test and Fisher’s exact test.

  1. Results

SVR refers to the condition in which the serum hepatitis C virus RNA becomes undetectable 12-14 weeks after completing treatment. The results of treatment in male and female thalassemia patients infected with HCV and treated with ledipasvir/sofosbuvir are shown in Table 3.

Table 3. The results of the treatment of the thalassemia patients infected with HCV and treated with ledipasvir/ sofosbuvir in males and females

Patients

SVR

NSVR

Total

0.0375%

99.9625%

Female

0.416%

99.95833

Male

0.343%

99.65%

     SVR: sustained virological response; NSVR: non-sustained virological response

 In PCR amplification, the entire 79 purified genomic DNAs with MTTP-F/MTTP-R and IFNL3-F/IFNL3-R primers, yielded fragments of 109 bp and 400 bp, respectively. The ethidium bromide-stained agarose gel (1.5%) electrophoresis of the PCR products of the MTTP and IFNL3 encoding genes is shown in Figures 1 and 2. The PCR products were sequenced and submitted to GenBank with accession numbers OQ980532-OQ980610. The allele frequencies of different SNPs detected in HCV-infected thalassemia patients treated with ledipasvir/ sofosbuvir and their association with SVR are shown in Table 4. GG allele was the most frequent allele of rs1800591 in both males (23%) and females (28%), followed by GT allele which was 11.39% in males and 19% in females. Also, the TT allele of rs8099917 was the most prevalent (37% in females and 25% in males), and the GG allele was the least frequent. Also, the AT allele was more prevalent than the AA and TT alleles of rs8113007. The presence of TT or GG polymorphisms only resulted in a 1.23% and 2.56% SVR, respectively in 3 patients. Also, our results revealed that ALT, AST, and ALP levels significantly decreased (P<0.001) after treatment (Table 5).

Figure 1: Agarose gel electrophoresis of the PCR products (109 bp) of the MTTP gene from HCV-infected thalassemia patients. M: 100 bp ladder marker (ExcelBand 100 bp DNA Ladder; Cosmo Bio, Tokyo, Japan).

Figure 2: Agarose gel electrophoresis of the PCR products (400 bp) of the IFNL3 gene from HCV-infected thalassemia patients. M: 100 bp ladder marker (ExcelBand 100 bp DNA Ladder; Cosmo Bio, Tokyo, Japan).

 Table 4. Allele frequencies of SNPs detected in HCV-infected thalassemia patients treated with ledipasvir/sofosbuvir and their association with SVR

Gene

SNP

Allele (F-%)

Male (F-%)

Female (F-%)

SVR (%)

NSVR (%)

MTTP

rs1800591

GT (24-30.37)

9-11.39

15-19

0

100

 

 

TT (15-18.98)

4-5.06

11-13.92

1.26

98.74

 

 

GG (40-50.63)

18-22.78

22-27.84

2.53

97.46

IFNL3

rs 8099917

TG (26-32.9)

11-23.92

15-19

1.26

98.74

 

 

TT (49-62)

20-25.31

29-36.7

2.53

97.46

 

 

GG (4-5)

0-0

4-5.06

0

100

 

rs8113007

AA (30-18.74)

12-15.2

18-22.78

1.26

98.74

 

 

AT (39-49.36)

15-19

24-30.4

2.53

97.46

 

 

TT (10-12.6)

4-5.06

6-7.6

0

100

F: frequency; SVR: sustained virological response; NSV: non-sustained virological response                                           

 Table 5. Comparison of liver enzyme levels pre- and post-treatment

P-value

UL-1 (Mean ± SD)

Gender

Enzyme

 

After treatment

Before treatment

 

 

P<0.001

93.58±2.66

136.22±6.92

Male

ALP

P<0.001

89.16±2.66

133.13±6.92

Female

 

P<0.001

88.77±2.66

140.9±6.92

Total

 

P<0.001

49/77±3.22

71.68±4.87

Male

AST

P<0.001

53/32±3.22

74.68±4.87

Female

 

P<0.001

54/32±3.22

76.26±4.87

Total

 

P<0.001

54/74±3.31

73.35±4.9

Male

ALT

P<0.001

54/22±3.24

81.77±4.9

Female

 

P<0.001

56/71±3.33

84.1±4.9

Total

 

 ALT: alanine transaminase,  AST: aspartate transaminase, ALP: alkaline phosphatase

The frequency of different alleles across various SNPs of the 31 cases with a decrease in liver enzymes to normal (≤ 45 UL-1 for ALT and AST and 35-85 UL-1 for ALP) after treatment with ledipasvir/sofosbuvir is shown in Table 6. Considering the MTTP gene, in the case of ALT, the frequency of the GG allele was significantly higher than that of the GT allele. In the case of AST, the frequency of the GG allele was significantly higher than that of the TT and GT alleles. For ALP, the frequency of the GG allele was significantly higher than that of the TT and GT alleles. For IFNL3 (rs8099917), regarding ALT, significant differences were observed among TT, TG, and GG. Furthermore, the difference between TT and TG was significant. A similar pattern was observed for AST. For ALP, the frequency of TT was significantly higher than that of GG. The same was true for TG compared with GG. For IFNL3 (rs8113007), regarding ALT, significant differences were observed only between AA and TT alleles. For AST, significant differences were observed between the frequency of AA and TT, as well as AT and TT. For ALP, significant differences were observed between AA and TT and also AT and TT. Based on the results, the GG allele of the MTTP gene was the most effective allele associated with a reduction ALT, AST, and ALP levels. For IFNL3 (rs8099917) and IFNL3 (rs811307), the TT and AT alleles were the most effective alleles for the ALP enzyme, respectively.

Table 6. Frequency of alleles in SNPs of the 31 cases with normalized liver enzymes (≤ 45 for ALT and AST, and 35-85 UL-1 for ALP) after ledipasvir/ sofosbuvir treatment

Enzyme

MTTP (rs1800591)

 

IFNL3 (rs 8099917)

 

IFNL3 (rs8113007)

Allele

F

P-value

 

Allele

F

P-value

 

Allele

F

P-value

ALT

GG

16

a*

 

TT

20

a*, b**

 

AA

14

a*

 

TT

9

 

 

TG

10

a*, c**

 

AT

12

 

 

GT

6

a*

 

GG

1

b**, c**

 

TT

5

a*

AST

GG

17

b*, c**

 

TT

20

a*, b**

 

AA

13

b*

 

TT

8

b*

 

TG

10

a*, c**

 

AT

13

c*

 

GT

6

c**

 

GG

1

b**, c**

 

TT

5

b*, c*

ALP

GG

18

d**, e**

 

TT

19

d****

 

AA

13

d*

 

TT

7

d**

 

TG

13

e****

 

AT

16

e***

 

GT

7

e**

 

GG

0

d****, e****

 

TT

3

d*, e***

F: frequency, ALT: alanine transaminase,  AST: aspartate transaminase, ALP: alkaline phosphatase, In each column, data with the same letters have significant differences, *= P < 0.05, ** = P < 0.01, *** = P < 0.001, **** = P < 0.0001

  1. Discussion and conclusion

Beta-thalassemia is an inherited blood disorder characterized by reduced or absent production of beta-globin chains, leading to anemia and potential complications. Regular blood transfusions in beta-thalassemia patients pose a risk for viral infections, including HCV (18). While no direct causal relationship exists between beta-thalassemia and HCV, the overall health of individuals with beta-thalassemia is often further compromised by co-infection (19). Antiviral medications like ledipasvir/sofosbuvir (Harvoni; Gilead Sciences) have been used to clear HCV in beta-thalassemia patients (20). This study investigated the impact of three SNPs- 493G/T, T/T and G/G (rs1800591) in the MTTP gene fragment, and A/T, A/A and T/T (rs8113007) and G/T, T/T and G/G (rs8099917) in the IFNL3 gene on viral clearance and their relationship with ledipasvir/sofosbuvir treatment in beta-thalassemia patients co-infected with HCV. Studies have revealed that carriers of this polymorphism exhibit elevated levels of steatosis, increased quantities of HCV RNA, and more advanced fibrosis in their liver (21). The possibility of applying rs1800591 polymorphism as a biomarker for early detection of non-alcoholic fatty liver disease (NAFLD) has been previously investigated (22). Tan et al. (2020) (23) also concluded that the G allele of rs1800591 was more likely to be associated with NASH susceptibility in their systematic review of a total of 10 case-control studies. According to gene expression analyses, the -493T allele is associated with elevated MTTP expression in healthy individuals, while the -493G allele is linked with reduced MTTP transcription (24). The association between genetic polymorphisms in the MTTP gene and HCV-related hepatic steatosis appears to be complex and dependent on population characteristics. While the -493G/T polymorphism of the MTTP gene shows no significant association with HCV genotype 1-related hepatic steatosis in the Turkish population (24), other studies have reported links between different MTTP gene polymorphisms and non-alcoholic fatty liver disease (NAFLD) susceptibility in various populations (22). These conflicting findings highlight the need for further research to clarify the role of MTTP gene polymorphisms in HCV-related hepatic steatosis. However, MTTP may serve as a potential biomarker of SVR in antiviral therapy of patients with HCV genotypes 1, 3, and 4 infections (21). In addition, the MTTP -493 G/T polymorphism has been linked to insulin resistance in chronic hepatitis C infection. Still, some studies have indicated that it is not universally applicable (24). In this study, the polymorphism of rs1800591 (-493G/T allele) was observed in 30.37% of the patients, while the T/T allele was present in 18.98% and the G/G allele in 50.63%. However, it should be noted that the presence of T/T or G/G alleles was associated with SVR rates of only 1.23% and 2.56%, respectively. Therefore, these rates of clearance are not sufficiently reliable predictors of antiviral treatment outcomes. The association between the influence of MTTP polymorphism in rs1800591 and treatment with ledipasvir-sofosbuvir has not been previously investigated. Nevertheless, based on our results, it appears that this treatment may not be effective for patients with polymorphisms in rs1800591 (-493GT, TT, and GG alleles) across all patient groups. Patients with TT or GT allele polymorphisms showed only a 1.26% and 2.56% SVR, respectively, indicating that the effectiveness of ledipasvir-sofosbuvir treatment in patients with these polymorphisms is limited. On the other hand, the weak results obtained in this study may be corelated to thalassemia, which needs more sophisticated studies.

The causal role of nucleotide variations of the IFNL3 gene in HCV therapy success and spontaneous viral clearance has been reported by some researchers (25, 26). However, the exact mechanism of this association is not fully understood. In a study on a population of 368 cases with beta thalassemia and anti-HCV antibodies in Italy, the total frequencies of the genotypes TT, GT, and GG of rs8099917 were 40.5%, 47%, and 12.5%, respectively (27). In addition, the obtained data revealed no correlation between IFNL3 polymorphisms and liver fibrosis stage. In another report, by contrast, spontaneous viral clearance was found to be more frequent among patients with the T/T genotype of rs8099917 or C/C genotype of rs12979860 than other genotypes variants in HCV-infected thalassemia major patients. Also, G/T or G/G genotypes of rs8099917 and C/Tor T/T genotypes of rs12979860 were associated with severe liver fibrosis (28). In addition, the IFNL3 gene polymorphisms have been linked to inflammation activity and fibrosis of the liver (29, 30). Nevertheless, according to genomic analyses, rs8099917 can be used as a valuable candidate SNP in clinical algorithms to predict SVR to IFN-based therapies (31). IFNL3 polymorphisms have been consistently associated with treatment outcomes in HCV infection, even with the introduction of modern highly effective direct-acting antivirals (32). Unfavorable IFNL3 SNPs are associated with high baseline expression of interferon-stimulated genes (ISGs) and insufficient induction of ISGs by exogenous interferon, resulting in poor treatment outcomes with interferon-based therapy (33, 34). These genetic markers can aid in individualizing treatment strategies, maximizing therapeutic efficiency, and identifying patients at risk of being refractory to treatment due to multidrug-resistant HCV (35). IFNL3 polymorphisms, specifically rs12979860 and rs8099917, have been identified as predictors of treatment response in pediatric patients infected with HCV genotypes 1 or 4 (36). The CC genotype of rs12979860 and the TT genotype of rs8099917 were associated with higher rates of SVR in treatment with pegylated interferon alpha and RBV (pegIFNα/RBV). Notably, the rs12979860 genotype was found to be a better predictor of treatment response among HCV/HIV-1 coinfected patients compared to rs8099917 (31, 37). These findings emphasize the importance of IFNL3 genotyping in predicting treatment outcomes, especially in specific patient groups. The T/T genotype of rs8099917 and the C/C genotype of rs12979860, along with age, female gender, and specific HCV genotypes, were independently associated with SVR in patients treated with interferon-alpha (28). These findings suggest that genetic factors, along with demographic characteristics and viral factors, contribute to treatment response. Patients with favorable IFNL3 genotypes may benefit from abbreviated treatment courses, which could potentially improve adherence and reduce the burden of therapy without sacrificing efficacy. However, caution is advised when considering this approach for patients with a less favorable genotype, as it may result in considerably lower SVR rates (38). In the ION-3 study, 423 previously untreated patients infected with HCV genotype 1 and without cirrhosis received ledipasvir/sofosbuvir for 8 weeks, and their outcome data were analyzed. Upon reevaluating the published ION-3 data, the researchers observed that SVR rates varied significantly based on gender and rs12979860 genotype. Notably, SVR rates exceeded 98% in women and individuals with the rs12979860-CC genotype (16). A study has been performed on 75 patients with genotype 3a HCV to evaluate the effect of allelic associations of 50 SNPs in the interferon-λ gene in response to interferon-α and RBV therapy in Pakistan. Data indicated the significant association of rs8109886, rs8113007, and rs12979860 among the 13 most effective SNPs in HCV clearance (39). Also, in a cohort study in China, the allele polymorphisms in rs8099917 and rs8113007 for IFNL3 were not associated with HCV infection susceptibility, and these polymorphisms showed similar frequencies in healthy and infected individuals (40). However, our study's evidence suggests that polymorphisms in IFNL3 rs8099917 (TG, TT, and GG) and rs8113007 (AA, AT, and TT alleles) do not significantly influence response to ledipasvir-sofosbuvir therapy. Based on the information provided, it appears that Harvoni (Harvoni®; Gilead Sciences, Inc., Foster City, CA, USA) has demonstrated higher success rates in treating patients with HCV genotype 1, compared to other viral genotypes. Additionally, for patients with genotype 1 or 4 of HCV, with or without cirrhosis, the use of Harvoni in combination with RBV is recommended for optimal viral clearance. In the Iraqi population, the most dominant HCV genotypes are genotypes 4 and 1 (41). Among thalassemic HCV patients, the rate of genotype 4 is even higher, reaching 94%, and in patients with chronic liver disorder due to hepatitis C, genotype 4 accounts for 85% of cases (42). Considering the high prevalence of genotype 4 in the Iraqi population and especially among thalassemic HCV patients, Harvoni® monotherapy may be insufficient for effective treatment in these patients. Instead, combination therapy with Harvoni® and RBV may be necessary to optimize treatment efficacy (43). As shown in Table 5, the liver enzyme levels decreased following treatment compared to baseline in the studied subjects. Similar results have been reported in previous studies. For example, Noureddin et al (2018) reported that ALT decreased from 63.1 ± 62.6 UL⁻¹ to 17.8 ± 12.3 UL⁻¹ and AST from 51.8 ± 41.1 UL⁻¹ to 21.5 ± 8.0 UL⁻¹ after achieving SVR compared with baseline values in chronic hepatitis C patients (44). However, other risk factors for elevated liver enzymes should be interpreted considering additional risk factors. For example, Chadha et al. (2023) have reported abnormal ALT at SVR-12 (12 weeks after SVR) in 9.6% of those with steatosis and 6.7% of those without and identified that abnormal ALT was related to increased body mass index but not ongoing alcohol use among HCV- infected patients (45). Although, a high rate of SVR was not observed in the patients, significant reduction of the liver enzymes was observed. Considering that the patients were thalassemic, it can be considered a positive outcome of the treatment. The periodic blood transfusions of patients with β-thalassemia major result in the accumulation of iron and this overload affects the liver along with other organs. Affected or damaged liver and also some treatments lead to significant increases of ALT, AST, and ALP enzymes (46). Co-infection with HCV is significantly correlated with the increased iron overload (47). Acute or chronic injuries to the liver increase the concentrations of AST and ALT (48). The high level of liver enzymes before treatment could be correlated with this. On the other hand, it has been reported that an increased risk of hepatocellular carcinoma and death is associated with elevated liver enzymes after SVR-24 (49). The decreased levels of liver enzymes indicate that the treatment at least can decrease these outcomes.

In this study, the high levels of liver enzymes significantly decreased after treatment with ledipasvir-sofosbuvir. The GG allele of the MTTP gene was the most effective allele involved in decreasing ALT, AST, and ALP enzymes. For IFNL3 (rs8099917) and IFNL3 (rs8113007), the TT and AT alleles were the most effective alleles for the ALP enzyme, respectively. Therefore, it seems there is a correlation between the frequent alleles detected and liver enzymes and in designing treatment strategies, these polymorphisms should be taken into consideration.

In conclusion, in this study, we conducted a thorough evaluation of the polymorphisms in the PCR-synthesized regions of IFNL3 and MTTP genes using 79 blood DNA samples obtained from HCV-infected thalassemia patients in Wasit province, Iraq. The analysis of genotypic alleles revealed a high prevalence of the G allele of rs1800591, the T allele of rs8099917, and the A allele of rs8113007 among the subjects under investigation. The analysis also indicated that these allelic polymorphisms in the MTTP and IFNL3 genes do not exhibit any meaningful correlation with the response to 12-week ledipasvir-sofosbuvir treatment in β-thalassemia patients with HCV infection. The results also show that other treatment strategies may be more successful. Given that the drug manufacturer's prescription indicates a higher efficacy of Harvoni® in treating HCV viral genotypes 1 and 4, it is advisable to avoid using this drug as a standalone treatment in countries like Iraq, where genotype 4 is the prevailing strain. In regions with predominant genotype 4 HCV prevalence, using Harvoni® alone may not yield optimal results. Instead, a more effective treatment approach may involve combining Harvoni® with RBV or other supplementary medications to enhance treatment outcomes.

 Acknowledgement: This research was funded by the grant provided by the University of Isfahan.

  • Modin L, Arshad A, Wilkes B, Benselin J, Lloyd C, Irving WL, et al. Epidemiology and natural history of hepatitis C virus infection among children and young people. Journal of hepatology. 2019;70(3):371–8. https://doi.org/10.1016/j.jhep.2018.11.013
  • Rosenberg ES, Rosenthal EM, Hall EW, Barker L, Hofmeister MG, Sullivan PS, et al. Prevalence of hepatitis C virus infection in US states and the District of Columbia, 2013 to 2016. JAMA network open. 2018;1(8): e186371–e. https://doi:10.1001/jamanetworkopen.2018.6371
  • Couronné L, Bachy E, Roulland S, Nadel B, Davi F, Armand M, et al. From hepatitis C virus infection to B-cell lymphoma. Annals of oncology. 2018;29(1):92–100. https://doi.org/10.1093/annonc/mdx635
  • Ataei B, Hashemipour M, Kassaian N, Hassannejad R, Nokhodian Z, Adibi P. Prevalence of anti HCV infection in patients with Beta-thalassemia in isfahan-iran. International journal of preventive medicine. 2012;3:S118. https://pmc.ncbi.nlm.nih.gov/articles/PMC3399295/
  • Tencer T, Friedman HS, Li-McLeod J, Johnson K. Medical costs and resource
    utilization for hemophilia patients with and without HIV or HCV infection. Journal of managed care pharmacy. 2007;13(9):790–8. https://doi.org/10.18553/jmcp.2007.13.9.790

  • Asthana M, Sahu SK, Kumar A, Mohanty S, Chakrabarti S, Das P, et al. Role of interleukin 28B polymorphisms in response to interferon based therapy for hepatitis C virus clearance. Current drug metabolism. 2018;19(3):215–23. https://doi.org/10.2174/1389200219666180129115359
  • Scott LJ. Ledipasvir/sofosbuvir: a review in chronic hepatitis C. Drugs. 2018;78:245–56. https://doi.org/10.1007/s40265-018-0864-z
  • Terrault NA, Zeuzem S, Di Bisceglie AM, Lim JK, Pockros PJ, Frazier LM, et al. Effectiveness of ledipasvir-sofosbuvir combination in patients with hepatitis C virus infection and factors associated with sustained virologic response. Gastroenterology. 2016;151(6):1131-40. https://doi.org/10.1053/j.gastro.2016.08.004
  • Hemeda AA, Ahmad Mohamed A, Aziz RK, Abdel-Hakeem MS, Ali-Tammam M. Impact of IL10, MTP, SOD2, and APOE gene polymorphisms on the severity of liver fibrosis induced by HCV genotype 4. Viruses. 2021;13(4):714. https://doi.org/10.3390/v13040714
  • Hussain MM, Rava P, Walsh M, Rana M, Iqbal J. Multiple functions of microsomal triglyceride transfer protein. Nutrition & metabolism. 2012;9:1–16. https://doi.org/10.1186/1743-7075-9-14
  • Bley H, Schöbel A, Herker E. Whole lotta lipids from HCV RNA replication to the mature viral particle. International journal of molecular sciences. 2020;21(8):2888. https://doi.org/10.3390/ijms21082888
  • Indolfi G, Azzari C, Resti M. Polymorphisms in the IFNL3/IL28B gene and hepatitis C: from adults to children. World journal of gastroenterology: WJG. 2014;20(28):9245-52. https://doi.org/10.3748/wjg.v20.i28.9245
  • Świątek-Kościelna B, Kałużna E, Strauss E, Nowak J, Bereszyńska I, Gowin E, et al. Prevalence of IFNL3 rs4803217 single nucleotide polymorphism and clinical course of chronic hepatitis C. World journal of gastroenterology. 2017;23(21):3815-24 . https://doi.org/10.3748/wjg.v23.i21.3815
  • Silva AMVd, Alvarado-Arnez LE, Azamor T, Batista-Silva LR, Leal-Calvo T, Bezerra OCdL, et al. Interferon-lambda 3 and 4 Polymorphisms increase sustained virological responses and regulate innate immunity in antiviral therapy with pegylated interferon-alpha. Frontiers in cellular and infection microbiology. 2021;11:656393. http://doi.org/10.3389/fcimb.2021.656393
  • Khudhair HAA, Albakaa AA, Hussein KR. Detecting the prevalence of hepatitis C virus among Iraqi people. International journal of biomedicine. 2023;13(2):234-240. http://dx.doi.org/10.21103/Article13(2)_OA5
  • O'Brien TR, Lang Kuhs KA, Pfeiffer RM, editors. Subgroup differences in response to 8 weeks of ledipasvir/sofosbuvir for chronic hepatitis C. Open forum infectious diseases. 2014;1(3):ofu110. https://doi.org/10.1093/ofid/ofu110
  • Thomas DL, Thio CL, Martin MP, Qi Y, Ge D, O’hUigin C, et al. Genetic variation in IL28B and spontaneous clearance of hepatitis C virus. Nature. 2009;461(7265):798–801. https://doi.org/10.1038/nature08463
  • Bastani M-N, Bokharaei-Salim F, Keyvani H, Esghaei M, Monavari SH, Ebrahimi M, et al. Prevalence of occult hepatitis C virus infection in Iranian patients with beta thalassemia major. Archives of virology. 2016;161(7):1899–906. https://doi.org/10.1007/s00705-016-2862-3
  • Kandi V, Vinjamuri SR, Tanikella BP, reddy Vinjamuri S. Hepatitis C viral infection among beta-thalassemia patients: a study from the centre for excellence in thalassemia and other blood disorders. Cureus. 2021;13(7): e16207. https://doi.org/10.7759/cureus.16207
  • El-Baraky IA, Abbassi MM, Ebeid FS, Hassany M, Sabry NA, El-Sayed MH. Beta-thalassemia major alters sofosbuvir/ledipasvir exposure in hepatitis C virus infected adolescent patients. Clinics and research in hepatology and gastroenterology. 2021;45(5): 101747. https://doi.org/10.1016/j.clinre.2021.101747
  • Saad Y, Shaker O, Nassar Y, Ahmad L, Said M, Esmat G. A polymorphism in the microsomal triglyceride transfer protein can predict the response to antiviral therapy in Egyptian patients with chronic hepatitis C virus genotype 4 infection. Gut and liver. 2014;8(6):655-61. https://doi.org/10.5009/gnl13374
  • Li X-L, Sui J-Q, Lu L-L, Zhang N-N, Xu X, Dong Q-Y, et al. Gene polymorphisms associated with non-alcoholic fatty liver disease and coronary artery disease: a concise review. Lipids in health and disease. 2016;15(1):1–8. https://doi.org/10.1186/s12944-016-0221-8
  • Tan J, Zhang J, Zhao Z, Zhang J, Dong M, Ma X, et al. The association between SNPs rs1800591 and rs3816873 of the MTTP gene and nonalcoholic fatty liver disease: a meta-analysis. Saudi journal of gastroenterology: official journal of the Saudi Gastroenterology Association. 2020;26(4):171-78. https://doi.org/10.4103/sjg.sjg_201_20
  • Akgöllü E, Akkız H. Association between hepatic steatosis and MTP gene–493G/T polymorphism in the patients with HCV genotype 1 infection. Infection, Genetics and evolution. 2019;70:101–6. https://doi.org/10.1016/j.meegid.2019.02.019
  • Chinnaswamy S. Genetic variants at the IFNL3 locus and their association with hepatitis C virus infections reveal novel insights into host-virus interactions. Journal of interferon & cytokine research. 2014;34(7): 479–97. https://doi.org/10.1089/jir.2013.0113
  • Møhlenberg M, O’Brien TR, Hartmann R. The role of IFNL4 in liver inflammation and progression of fibrosis. Genes & immunity. 2022;23(3-4):111–7. https://doi.org/10.1038/s41435-022-00173-9
  • Origa R, Marceddu G, Danjou F, Perseu L, Satta S, Demartis FR, et al. IFNL3 polymorphisms and HCV infection in patients with beta thalassemia. Annals of hepatology. 2015;14(3):389–95. https://doi.org/10.1016/S1665-2681(19) 31279-7
  • Di Marco V, Bronte F, Calvaruso V, Capra M, Borsellino Z, Maggio A, et al. IL28B polymorphisms influence stage of fibrosis and spontaneous or interferon-induced viral clearance in thalassemia patients with hepatitis C virus infection. Haematologica. 2012;97(5):679-86. https://doi.org/10.3324/haematol.2011.050351
  • Abe H, Ochi H, Maekawa T, Hayes CN, Tsuge M, Miki D, et al. Common variation of IL28 affects gamma-GTP levels and inflammation of the liver in chronically infected hepatitis C virus patients. Journal of hepatology. 2010;53(3):439–43. https://doi.org/10.1016/j.jhep.2010.03.022
  • Koolivand M, Allamehzadeh Z, Ahmadi A, Taheri RA, Hassanpour K, Zeini A, et al. The study of IFNL3 gene Rs12979860 polymorphism in the hepatitis C virus patients and healthy population in Tehran Province, Iran. Jundishapur journal of microbiology. 2020;13(5) :e95798. https://doi.org/10.5812/jjm.95798
  • de Castellarnau M, Aparicio E, Parera M, Franco S, Tural C, Clotet B, et al. Deciphering the interleukin 28B variants that better predict response to pegylated interferon-α and ribavirin therapy in HCV/HIV-1 coinfected patients. PloS one. 2012;7(2):e31016. https://doi.org/10.1371/journal.pone.0031016
  • Asahina Y, Nakagawa M, Kakinuma S, Watanabe M. Polymorphism near the interleukin-28B gene and anti-hepatitis C viral response. Journal of clinical and translational hepatology. 2013;1(1):39-44. https://doi.org/10.14218/jcth.2013.005xx
  • Hayes CN, Chayama K. Interferon stimulated genes and innate immune activation following infection with hepatitis B and C viruses. Journal of medical virology. 2017;89(3):388–96. https://doi.org/10.1002/jmv.24659
  • Murakawa M, Asahina Y, Kawai‐Kitahata F, Nakagawa M, Nitta S, Otani S, et al. Hepatic IFNL4 expression is associated with non‐response to interferon‐based therapy through the regulation of basal interferon‐ stimulated gene expression in chronic hepatitis C patients. Journal of medical virology. 2017;89(7):1241–7. https://doi.org/10.1002/jmv.24763
  • Anzenbacher P, Zanger UM. Metabolism of drugs and other xenobiotics: Wiley Online Library; 2012. https://doi.org/10.1002/9783527630905.ch19
  • Domagalski K, Pawłowska M, Tretyn A, Halota W, Pilarczyk M, Smukalska E, et al. Impact of IL-28B polymorphisms on pegylated interferon plus ribavirin treatment response in children and adolescents infected with HCV genotypes 1 and 4. European journal of clinical microbiology & infectious diseases. 2013;32(6):745–54. https://doi.org/10.1007/s10096-012-1799-z.
  • Aparicio E, Parera M, Franco S, Perez-Alvarez N, Tural C, Clotet B, et al. IL28B SNP rs8099917 is strongly associated with pegylated interferon-α and ribavirin therapy treatment failure in HCV/HIV-1 coinfected patients. PloS one. 2010;5(10):e13771. https://doi.org/10.1371/journal.pone.0013771
  • Enache EL, Sin A, Enache LS, Bancu L. Triplex high-resolution melting assay for the simultaneous assessment of IFNL3 rs12979860, ABCB11 rs2287622, and RNF7 rs16851720 genotypes in chronic hepatitis C patients. The Journal of molecular diagnostics. 2017;19(6):857–69. https://doi.org/10.1016/j.jmoldx.2017.07.005
  • Tipu I, Marriage F, Platt H, Athar MA, Day PJ, Short A. The IFN-λ genetic polymorphism association with the viral clearance induced by hepatitis c virus treatment in Pakistani patients. Hepatitis monthly. 2014;14(3): e15076. https://doi.org/10.5812/hepatmon.15076
  • GuoLei T, JianFang W, XuPing W. Relationship between IL-28B polymorphisms and susceptibility to hepatitis C among Han population in Jiangsu Province, China. 2014;30(6):514-7 (In Chinese, Abstracted). https://doi.org/10.3969/j.issn.1001-5256.2014.06.009
  • Mahmud S, Al‐Kanaani Z, Chemaitelly H, Chaabna K, Kouyoumjian SP, Abu‐Raddad LJ. Hepatitis C virus genotypes in the Middle East and North Africa: Distribution, diversity, and patterns. Journal of medical virology. 2018;90(1):131–41. https://doi.org/10.1002/jmv.24921
  • Khalid MD, Abdullah BA. Hepatitis C virus genotypes in Iraq. Iraqi journal of biotechnology. 2012;11(2):475–80.
  • Shiha G, Esmat G, Hassany M, Soliman R, Elbasiony M, Fouad R, et al. Ledipasvir/ sofosbuvir with or without ribavirin for 8 or 12 weeks for the treatment of HCV genotype 4 infection: results from a randomised phase III study in Egypt. Gut. 2019;68(4):721–8. https://doi.org/10.1136/gutjnl-2017-315906
  • Noureddin M, Wong MM, Todo T, Lu SC, Sanyal AJ, Mena EA. Fatty liver in hepatitis C patients post-sustained virological response with direct-acting antivirals. World journal of gastroenterology. 2018;24(11):1269-77 . https://doi.org/10.3748/wjg.v24.i11.1269
  • Chadha N, Turner A, Sterling RK. Prevalence and predictors of abnormal alanine aminotransferase in patients with HCV who have achieved SVR. Journal of Viral Hepatitis. 2023;30(1):73–8. https://doi.org/10.1111/jvh.13763
  • Bashi AYD, Fathi FH. Evaluation of Hepatic Enzymes in major β-thalassemic Patients using Deferasirox. Iraqi journal of pharmaceutical sciences. 2022;31(2):237–43. https://doi.org/10.31351/vol31iss2pp237-243
  • Salama KM, Ibrahim OM, Kaddah AM, Boseila S, Ismail LA, Hamid MMA. Liver enzymes in children with beta-thalassemia major: correlation with iron overload and viral hepatitis. Open access Macedonian journal of medical sciences. 2015;3(2):287-92. https://doi.org/10.3889/oamjms.2015.059
  • Giannini EG, Testa R, Savarino V. Liver enzyme alteration: a guide for clinicians. Cmaj. 2005;172(3):367–79. https://doi.org/10.1503/cmaj.1040752

Tacke F, Klinker H, Boeker KHW, Merle U, Link R, Buggisch P, et al. Elevated liver enzymes predict morbidity and mortality despite antiviral cure in patients with chronic hepatitis C: Data from the German Hepatitis C-Registry. Hepatology communications. 2022;6(9):2488-2495. https://doi.org/10.1002/hep4.2015