Association of TaqI VDR Polymorphism with the Response to Directly Acting Antiviral Treatment in Hepatitis C Patients
Noora Hassan Hezam Al-Aqmer1*, Soumble Zulfiqar2, Muhammad Farooq Hanif3, Abdul Rauf Shakoori2, Sibgha Zulfiqar4 and Mateen Izhar5
1University of Global Health Equity, Butaro, Rwanda
2School of Biological Sciences, University of the Punjab, Quaid-I-Azam Campus, Lahore, Pakistan.
3Pakistan Kidney and Liver Institute, Lahore, Pakistan
4Amna Inayat Medical College, Sheikhupura, Pakistan
5Rahbar Medical and Dental College, Lahore, Pakistan
ABSTRACT
The objective of this study was to determine the association between TaqI Vitamin D receptor (VDR) polymorphism and the response to directly acting antiviral treatment in hepatitis C patients. This case control study included 132 participants, out of which 66 were chronic hepatitis C (CHC) genotype 3 patients who received directly acting antiviral treatment, responded to the treatment, and achieved sustained virologic response (SVR) i.e. negative HCV-RNA three months after completion of the treatment (responders), and 66 were CHC genotype 3 patients who received the same treatment and did not achieve SVR (non-responders). After taking informed consent from each participant, demographic data was collected. Under aseptic conditions, 5 mL of blood was drawn for DNA extraction, polymerase chain reaction (PCR), restriction fragment length polymorphism analysis (RFLP), and gel electrophoresis. Data was analysed using SPSS 24. TaqI genotypes distribution was found to be 31 (47%), 26 (39.4%), and 9 (13.6%) for the genotypes TT, Tt, and tt in responders and 33 (50%), 26 (39.4%), and 7 (10.6%) in non-responders, respectively. For the T and t alleles, the distribution was 88 (66.7%) and 44 (33.3%) in responders and 92 (69.7%) and 40 (30.3%) in non-responders, respectively. No significant association was found between TaqI VDR polymorphism and the response to directly acting antiviral treatment nor between TaqI VDR polymorphism and cirrhosis in CHC patients (p-values > 0.05). In conclusion, TaqI VDR polymorphism has no association with the response to directly acting antiviral treatment in CHC genotype 3 patients.
Article Information
Received 10 January 2026
Revised 20 January 2026
Accepted 13 February 2026
Available online 31 March 2026
(early access)
Published 25 July 2026
Authors’ Contribution
NHHA: Designed the study, collected the data, did genetic analysis, performed statistical analysis, and wrote the manuscript. Soumble Z: Supervised and reviewed the genetic analysis work. MFH: Participated in data collection. ARS: Supervised the research and reviewed the study and the manuscript. Sibgha Z and MI: Supervised the research and reviewed the manuscript.
Key words
Hepatitis C, Vitamin D receptor polymorphism, TaqI VDR polymorphism, Response to treatment
DOI: https://dx.doi.org/10.17582/journal.pjz/20260110131646
* Corresponding author: [email protected], [email protected]
0030-9923/2026/0005-2081 $ 9.00/0
Copyright 2026 by the authors. Licensee Zoological Society of Pakistan.
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
INTRODUCTION
Hepatitis C is a global health problem with about 50 million people world-wide infected with chronic hepatitis C (CHC) virus. One million new cases in 2022 were reported by WHO. The largest burden of hepatitis C infections is found in Pakistan, India, China, the United States of America, Indonesia, and Russia (WHO, 2024). Hepatitis C is still one of the major health concerns (Manikat et al., 2024) and is one of the most common causes of chronic liver disease and cirrhosis (Moon et al., 2020). Hepatitis C is a risk factor for hepatocellular carcinoma. Globally, cirrhosis and hepatocellular carcinoma are the 11th and 16th causes of death respectively, accounting for 3.5% of the worldwide deaths (Asrani et al., 2019).
Directly acting antiviral drugs have revolutionized the treatment of CHC infection and have led to viral eradication in majority of the patients. However, some patients remain as difficult to treat (Manns and Maasoumy, 2022). The high cost of directly acting antiviral drugs and the high incidence of hepatitis C infection constitute an economic burden which makes it important to have adequate cure rates. Therefore, it is crucial to address the factors that might have led to failing DAA treatment (Schwander et al., 2022; Abdelaziz et al., 2024). Multiple factors can affect the course of the HCV infection including host as well as viral factors. It is suggested that host genetics may play an important role in affecting the clinical course of the disease (Nahon and Cobat, 2020).
Among the host genetic factors, vitamin D receptor (VDR) gene variations were reported to modulate the progression of the disease (Malicki et al., 2025). VDR polymorphisms may affect inflammation, response to treatment, and progress of fibrosis (Al-Aqmer et al., 2022; Lima et al., 2025). One of these VDR gene variations is TaqI VDR polymorphism. Beka et al. (2022) reported TaqI VDR genotype to be associated with the degree of liver fibrosis and Neamatallah et al. (2022) found more frequency of TaqI VDR polymorphism in patients with CHC as compared to those who had spontaneous virus clearance. Moreover, Abdelsalam et al. (2016) reported that TaqI VDR polymorphism was associated with successful treatment and was a predicting factor for the response to pegylated interferon and ribavirin therapy. In another study, TaqI VDR polymorphism was not found to be associated with cirrhosis, however, it was found to be associated with low VDR levels in CD14+ cells in hepatitis C patients. It was also found to affect the expression of the genes that regulate oxidative stress, proliferation and differentiation of cells, and intracellular signalling (Tourkochristou et al., 2023).
On the other hand, some studies found no association between TaqI VDR polymorphism and the response to treatment. Thanapirom et al. (2019) reported no relationship of TaqI VDR polymorphism with the response to pegylated interferon therapy nor with advanced liver disease in CHC patients. Similarly, Arai et al. (2015) reported no association between TaqI VDR genotypes and the response to pegylated interferon and ribavirin with Telaprevir in CHC patients.
Whether TaqI VDR polymorphism relates to the response to the treatment in HCV patients remains unclear. Moreover, there is no data on the association of TaqI VDR genotypes with the response to directly acting antiviral treatment in CHC genotype 3 patients. Our study aimed at finding out the association between TaqI VDR polymorphism and the response to the directly acting antiviral treatment in HCV genotype 3 patients.
MATERIALS AND METHODS
This case-control study included 132 participants, in which 66 CHC genotype 3 patients, males and females, aged ≥ 18 years, who received directly acting antiviral treatment, daclatasvir and sofosbuvir (with ribavirin in cirrhotic patients), and responded to the treatment by achieving a sustained virologic response (SVR) i.e. were HCV-RNA negative three months after the treatment was completed (Responders), and 66 CHC genotype 3 patients who received the same treatment and did not achieve a sustained virologic response (SVR) i.e. were HCV-RNA positive three months after the treatment was completed (Non-responders). Both the groups were matched in age, gender, and cirrhosis status. The study excluded CHC patients with hepatitis B, HIV, advanced liver disease, or renal disease. Informed written consent was taken from the participants and their demographic data was recorded. Test reports of platelet count, prothrombin time, INR, liver function tests, and haemoglobin were recorded. Under aseptic conditions, 5 mL blood was drawn from each participant for DNA extraction, polymerase chain reaction (PCR) of the sequence containing the TaqI restriction site (rs731236), restriction fragment length polymorphism (RFLP) analysis, gel electrophoresis, and visualization under UV light.
DNA extraction was done using ThermoScientific #K0781 and was followed by PCR. The primers used were:
F 5’CAGAGCATGGACAGGGAGCAA3’
R 5’GCAACTCCTCATGGCTGAGGTCTC3’.
The PCR reaction mixture of 20 μL contained 5 μL DNA, 3 μL 25 mM MgCl2, 3 μL 2.5 mM dNTPs, 2 μL 10X (NH4)2SO4 buffer, 0.5 μL 5U/μL Taq polymerase, 1.5 μL 10 μM forward primer, 1.5 μL 10 μM reverse primer, and 3.5 μL water. PCR reaction mixture underwent initial denaturation for 5 min at 95°C, 35 cycles each comprising of denaturation for 30 sec at 95°C, annealing for 45 sec at 65°C, extension for 45 sec at 72°C, and final extension for 10 min at 72°C. The PCR product containing TaqI VDR polymorphism (rs731236) was of 744 base pairs.
For TaqI VDR genotyping, restriction fragment length polymorphism (RFLP) analysis was done using Thermo Scientific TaqI (#ER0671). The mixture comprised of 10 μL PCR product (0.1-0.5 μg DNA), 2 μL TaqI enzyme, 2 μL 10X buffer TaqI, and 16 μL nuclease free water making up a total volume of 30 μL. The mixture tube was sealed with paraffin film and incubated at 65°C in water bath for 8-16 h. The samples were run on 2% agarose gel and visualized under UV light.
Statistical analysis
Data was entered and analysed using SPSS 24. T-test (for normally distributed data) and Mann-Whitney test (for not-normally distributed data) were used to compare age and BMI between responders and non-responders. Frequencies of TaqI polymorphisms were studied in accord with the Hardy-Weinberg equilibrium. The association of TaqI VDR polymorphism with the response to treatment, cirrhosis, and gender was studied using Chi Square test and Exact Fisher’s test accordingly. ANOVA (for normally distributed data) and Kruskal Wallis test (for not-normally distributed data) were used to compare platelets count, prothrombin time, INR, liver function tests and haemoglobin among the TT, tt, and Tt genotypes. A p-value ˂ 0.05 was considered significant.
RESULTS
There were 132 participants with 66 in the responders group and 66 in the non-responders group. No significant differences were found in age and BMI between the two groups (p-values > 0.05) (Table I). The restriction of the PCR product (744 base pairs) containing TaqI VDR polymorphism (rs731236) yielded two bands for the wild homozygous TT genotype (TT) of 494 and 250 base pairs, three bands for the mutant homozygous tt genotype (CC) of 293, 250, and 201 base pairs, and four bands for the heterozygous Tt genotype (CT) of 494, 293, 250, and 201 base pairs (Fig. 1).
The frequencies of the TaqI VDR genotypes were 48.5%, 39.4%, and 12.1% for the TT, Tt, and tt genotypes respectively with 68.2% frequency for the T alleles and 31.8% for the t alleles (Table II). In the responders and non-responders groups, the distribution of TaqI VDR genotypes was 47% and 50% for the wild homozygous TaqI genotype (TT), 39.4% for the heterozygous TaqI genotype (Tt) in both the groups, and 13.6% and 10.6% for the homozygous mutant TaqI genotype (tt), respectively. The distribution of the T and t alleles was 88 (66.7%) and 44 (33.3%) in responders and 92 (69.7%) and 40 (30.3%) in non-responders, respectively. There was no significant association between TaqI VDR genotypes and the response to treatment (p-value = 0.855) (Table III). There was no significant association between TaqI VDR polymorphism and cirrhosis nor between TaqI VDR polymorphism and gender (Table IV).
No significant differences were found in platelets count, prothrombin time, INR, total bilirubin, direct bilirubin, aspartate transaminase (AST), alanine transaminase (ALT), alkaline phosphatase (ALP), albumin, and haemoglobin levels among the TT, tt, and Tt genotypes (p-values > 0.05) (Table V).
Table I. Age (yrs) and BMI (kg/m2) in responders and non-responders.
|
Variables |
Responders a (n=66) |
Non-responders b (n=66) |
p- value |
|
Age Median (IQR) c |
53.5 (44-55) |
51.0 (43-55) |
0.360 |
|
BMI Mean±SD d |
26.97±6.81 |
28.01±6.46 |
0.369 |
* p-value ˂ .05 is considered significant. a Responders are HCV patients who achieved sustained virologic response (SVR) three months after completing the treatment; b Non-Responders are HCV patients who did not achieve sustained virologic response (SVR) three months after completing the treatment; c Mann-Whitney test was used; d T-test was used. IQR, Interquartile range; BMI, Body mass index.
Table II. Frequencies of TaqI VDR genotypes and alleles (n=132).
|
Genotypes/Alleles |
Count (%) |
|
Genotypes |
|
|
TT |
64 (48.5 %) |
|
Tt |
52 (39.4 %) |
|
tt |
16 (12.1 %) |
|
Total |
132 (100 %) |
|
Alleles |
|
|
T |
180 (68.2 %) |
|
t |
84 (31.8 %) |
|
Total |
264 (100 %) |
Table III. Association between TaqI VDR polymorphism and the response to directly acting antiviral treatment.
|
Genotypes |
Respondersa (n=66) |
Non-responders b (n=66) |
Chi-Square test |
p value |
|
TT |
31 |
33 |
0.313 |
0.855 |
|
Tt |
26 |
26 |
||
|
tt |
9 |
7 |
* p-value ˂ .05 is considered significant. Responders and non-responders are explained in Table I.
Table IV. Association of TaqI VDR polymorphism with cirrhosis and gender in responders and non-responders.
|
TaqI VDR genotypes |
Responders a (n=66) |
Non-responders b (n=66) |
||
|
With cirrhosis (n=33) |
Without cirrhosis (n=33) |
With cirrhosis (n=33) |
Without cirrhosis (n=33) |
|
|
Association with cirrhosis |
||||
|
TT |
16 |
15 |
19 |
14 |
|
tt |
5 |
4 |
2 |
5 |
|
Tt |
12 |
14 |
12 |
14 |
|
p-value |
0.891 |
0.356 |
||
|
Males (n=40) |
Females (n=26) |
Males (n=40) |
Females (n=26) |
|
|
Association with gender |
||||
|
TT |
17 |
14 |
21 |
12 |
|
tt |
7 |
2 |
4 |
3 |
|
Tt |
16 |
10 |
15 |
11 |
|
p-value |
0.460 |
0.936 |
||
* p-value ˂ .05 is considered significant. Responders and non-responders are explained in Table I.
Discussion
Our study found no significant association between TaqI VDR polymorphism and the response to directly acting antiviral treatment in chronic hepatitis C genotype 3 patients indicating no role of TaqI VDR polymorphism in affecting the response to therapy. Similar to our results, Arai et al. (2015) found no association between TaqI VDR polymorphism and the response to Telaprevir and pegylated interferon with ribavirin in CHC patients in Japan. Also, Wang et al. (2016) and Hung et al. (2016) reported the same in their studies conducted in China and Thailand with Taiwan, respectively on CHC patients who received pegylated interferon plus ribavirin therapy therapy.
On the contrary, Baur et al. (2012) found TT genotype to be a predictive marker for the treatment failure in CHC patients genotypes 1, 2, and 3 in Switzerland and Abdelsalam et al. (2016) reported t allele to be protective and associated with success of treatment.
The different reported results could be due to the differences in the hepatitis C virus genotypes and ethnicities as both factors may affect the response to treatment (Navaneethan et al., 2009; Ansaldi et al., 2014). Moreover, the above mentioned studies were on patients who received interferon and ribavirin whereas our study was on patients who received directly acting antiviral HCV treatment and pharmacogenetics might affect the results.
We found no association between TaqI polymorphism and cirrhosis, and no significant differences in platelets count, PT, INR, liver function tests, and haemoglobin among TaqI genotype groups. Our results aligned with the results of Tsounis et al. (2022) who also reported no association between TaqI polymorphism and cirrhosis. They also found no significant differences in platelets count, alanine transaminase (ALT), aspartate transaminase (AST), alkaline phosphatase (ALP), and albumin levels amongst the three TaqI genotype groups. On the contrary, Triantos et al. (2018) found that the TaqI VDR genotype TT was associated with advanced Child-Pugh stage and with the severity of liver cirrhosis. This could not be assessed in our study as advanced liver disease patients were excluded.
Table V. Platelets count, PT, INR, liver functions tests, and haemoglobin among the TT, tt, and Tt genotype groups.
|
Variables (Median (IQR)a/ Mean±SDb) |
TaqI VDR genotypes |
p-value |
||
|
TT |
tt |
Tt |
||
|
Platelets count (×1000/μL) |
260 (152-291) a |
252 (178-268) a |
260 (164.5-292) a |
.887 |
|
PT (sec) |
14.8 (14.2-15.9) a |
14.3 (14.0-14.8) a |
14.5 (14-15.5) a |
.141 |
|
INR |
1.1 (1.1-1.2) a |
1.1 (1.0-1.2) a |
1.1 (1-1.2) a |
.406 |
|
Total bilirubin (mg/dL) |
1 (0.5-1.6) a |
0.7 (0.5-1.4) a |
0.8 (0.5-1.3) a |
.585 |
|
Direct bilirubin (mg/dL) |
0.3 (0.2-0.9) a |
0.2 (0.1-0.7) a |
0.2 (0.1-0.7) a |
.280 |
|
AST (U/L) |
67.5 (52.0-80.8) a |
61.5 (50.5-81.8) a |
61.0 (47.0-80.0) a |
.671 |
|
ALT (U/L) |
71.0±21.6b |
70.4±25.3b |
69.2±22.0b |
.910 |
|
ALP (IU/L) |
110.1±22.0b |
109.9±22.7b |
107.4±19.4b |
.779 |
|
Serum albumin (g/dL) |
3.5 (3.0-4.2) a |
3.6 (2.9-4.0) a |
3.2 (3.0-3.9) a |
.380 |
|
Haemoglobin (gm/dL) |
13.2 (12.0-14.1) a |
12.9 (11.9-14.3) a |
13.1 (11.7-14.1) a |
.840 |
* p-value ˂ .05 is considered significant. a Kruskal-Wallis test was used; b ANOVA test was used. PT, prothrombin time; INR, international normalized ratio; AST, aspartate transaminase; ALT, alanine transaminase; ALP, alkaline phosphatase.
Conclusion
We concluded that there is no significant association between TaqI VDR polymorphism and the response to daclatasvir and sofosbuvir (with ribavirin for cirrhotic patients) in chronic hepatitis C genotype 3 patients. This finding suggests that TaqI VDR polymorphism may not play a major role in influencing the response to treatment within the studied population. While this contrasts with the results of some of the previous studies, it highlights that the relationship between TaqI VDR polymorphism and the response to therapy in CHC patients may be influenced by other factors.
Declarations
Acknowledgement
We would like to thank the Pakistan Kidney and Liver Institute (PKLI) and the School of Biological Sciences, University of the Punjab, Lahore for their support in conducting this study.
Funding
The authors declare that no funding was received for conducting this study.
Ethical statement and IRB approval
This study was conducted after approval from the Ethical Review Board of Pakistan Kidney and Liver Institute, Lahore.
Generative AI and AI assisted technology statement
The authors declare that no generative AI and AI assisted technology was used in the creation of this manuscript.
Statement of conflict of interest
The authors have declared no conflict of interest.
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