Volume 12, Issue 3 (Summer 2023)                   J Occup Health Epidemiol 2023, 12(3): 132-138 | Back to browse issues page

Ethics code: IR.SKUMS.REC.1399.198


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Badiei S, Rahmati S, Raeisi Shahraki H, Habibi Z. The Effect of Oral Silymarin on Remdesivir-Induced Hepatotoxicity and Clinical Course in Covid-19 Patients; A Double-Blind Randomized Controlled Trial. J Occup Health Epidemiol 2023; 12 (3) :132-138
URL: http://johe.rums.ac.ir/article-1-720-en.html

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1- Resident in Internal Medicine, Clinical Research Development Unit, Hajar Hospital, Shahrekord University of Medical Sciences, Shahrekord, Iran.
2- Ph.D. in Molecular Medicine, Cancer Research Center, Shahrekord University of Medical Sciences, Shahrekord, Iran.
3- Assistant Prof., Dept. of Epidemiology and Biostatistics, School of Health, Shahrekord University of Medical Sciences, Shahrekord, Iran.
4- Assistant Prof., Clinical Research Development Unit, Hajar Hospital, Shahrekord University of Medical Sciences, Shahrekord, Iran. , Dr_z_habibi@yahoo.com
Article history
Received: 2023/03/11
Accepted: 2023/08/16
ePublished: 2023/09/28
Subject: Epidemiology
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Introduction
SARS-CoV-2, a novel coronavirus, was identified as the cause of a cluster of pneumonia cases in Wuhan, China, at the end of 2019. The disease has since spread worldwide which has led to a persistent epidemic [1]. Acute respiratory distress syndrome (ARDS), severe pneumonia, mild upper respiratory infections, and possibly mortality are possible outcomes of the 2019 coronavirus illness, or COVID-19. [2]. Although lung damage is the most common clinical manifestation of COVID-19, clinical-pathological findings can occur in other organs, including liver. COVID-19 can infect liver cells and bile duct cells via the expression of angiotensin-converting enzyme (ACE2) receptors in liver cholangiocytes and result in abnormal liver function in patients [3]. Liver function indices in the patients with COVID-19 are associated with inflammatory markers such as CRP and the neutrophil-to-lymphocyte ratio (NLR), making NLR an independent risk factor for COVID-19 [4].
Remdesivir, corticosteroids, IL-6R antagonists like tocilizumab (TCZ), IL-1 antagonists like anakinra, TNF-inhibitors, and Janus kinase inhibitors are just a few of the treatment regimens that were developed to control SARS-CoV-2 pandemic [5]. Remdesivir was first created to treat hepatitis C, but it was also used to treat viral illnesses such as Ebola and Marburg before being used to COVID-19. The most frequent adverse effect of Remdesivir in healthy volunteers has been a rise in blood levels of liver enzymes, which is indicative of liver issues [6]. Milk thistle (Silybum marianum), an annual or biennial plant of the Asteraceae family, contains silymarin, an active component that was associated to a variety of health benefits, including liver protection, antioxidant activity, anti-inflammatory activity, and anti-canceractivity [7].Silymarin boosts hepatic glutathione levels by increasing cysteine availability, and inhibits taurine catabolism, potentially boosting antioxidant defenses in the liver [8]. Silymarin can aid in the recovery of liver damage caused by viruses which showed protective effects in acute and chronic viral hepatitis [9].
In light of the COVID-19 pandemic, the dearth of effective treatment approaches, and mounting evidence that certain herbal remedies possess antiviral qualities, the aim of this investigation was to evaluate silymarin's impact on remdesivir-induced hepatotoxicity in Covid-19 patients.

Materials and Methods
This double-blind, Placebo-controlled trial (IRCT20201227049854N1) was conducted from July 2021 to Sept. 2021 in Hajar Hospital of Shahr-e-Kord province, Iran. (Ethical code: IR.SKUMS.REC.1399.198). A total of 70 patients with COVID-19 were enrolled in the study.  
The inclusion criteria were RT-PCR positive for SARS-Cov19 receiving remdesivir, a blood oxygen saturation level SpO2of less than 93% or the need for supportive oxygen or mechanical ventilation, pulmonary infiltration in imaging test, the absence of underlying liver disease, such as liver cirrhosis and viral hepatitis, and liver enzymes that were less than five times the normal amount and willingness to participate in the study. All this information was confirmed by a medical specialist.
The exclusion criteria included a five-fold increase in liver enzymes, patient dissatisfaction, pregnancy and lactation, and glomerular filtration rate less than 50 mg/min. The patients without underlying heart disease
Patients did not provide demographic information, such as age, gender, or medical history, until they had completed a formal permission form. The permuted block randomization was used to randomly split the patients into two groups. The size of each block was equal to 6 and blocks were generated using Random Allocation software. All patients with estimated glomerular filtration rate (eGFR) >60 ml/min and liver enzyme less than five times the upper limit of normal range received remdesivir. The patients were randomly divided into two groups by the blocked randomization.
The intervention group received injection Remdesivir + Livergol(goldaru company), and the control groups received injection Remdesivir + placebo three times daily for one week.On the first day, all participants received 200 mg of Remdesivir by injection, followed by 100 mg daily. Each Livergol capsule contained 140 mg of dried silymarin extract. Furthermore, all patients received proton pump inhibitor or H2-blocker to prevent stress ulcer.
Coagulation, liver, kidney, and inflammatory tests were performed before enrollment, and on days 5, 7, 10, and 14 after enrolment. On days 1, 5, 10, and 14, clinical symptoms also were assessed for the severity of disease using a seven-point scale [10]:
1. mortality 2. hospitalization and need for the mechanical ventilation 3. non-intubated hospitalization with high flow oxygenation 4. hospitalization with no intubation with low flow oxygenation 5. hospitalization without supportive oxygenation, but in need of medical care 6. hospitalization without supportive oxygenation, but in need of medical treatment 7. outpatient.
This study aimed to comparatively investigate the effects of silymarin on COVID-19 inpatients' symptoms, hospital stay length and remdesivir-induced hepatotoxicity.
SPSS software version 26 (SPSS Inc. /IBM Corp., Chicago, IL, USA) was used to analyze the data, which included t-tests, chi-square tests, and analysis of variance with repeated measurements at a significance level of p = 0.05.
The findings have been presented as mean ± SD for continuous variables and as a number or percentage for nominal parameters. The McNemar test was used to assess the frequency of muscular soreness, headaches, and disease severity on days 1 and 5, since these factors differed across the groups on day 1.

Results
Totally, 70 eligible COVID-19 patients were enrolled in the study, and completed the trial.
Except for PT, PTT, and LDH, all other variables in the two groups were the same, as shown in Table 1.

Table 1. Comparison of different variables on the first day in the studied groups
Variable Intervention
Mean ± SD
Control
Mean ± SD
P-value
PT/sec 2.27±9.91 12.40±5.71 02.0*
PTT/sec 25.34± 6.41 32.34±17.00 030.0*
INR 1.05± .21 1.08± .53 720.0
WBC/µL 7108.57± 2630.29 7137.14± 4471.81 970.0
LYM/µL 32.7 ± 25.14 82.8 ± 11.16 330.0
NEUT/µL 93.7 ± 45.81 98.8 ± 60.79 360.0
Hb  (g/dL) 12.2 ± 28.14 60.1 ± 25.14 950.0
PLT/µL 39.85957 ± 00.195400 39.63905 ± 57.190428 780.0
AST(U/L) 29.35 ± 60.64 57.50 ± 31.66 870.0
ALT (U/L) 82.29 ± 28.56 76.38 ± 77.54 760.0
ALKP (U/L) 20.82 ± 14.161 34.124 ± 94.178 480.0
BILLT (mg/dL) 25.0 ± 64.0 30.0 ± 66.0 730.0
BILLD (mg/dL) 08.0 ± 21.0 11.0 ± 22.0 640.0
BUN (mg/dL) 74.6 ± 22.15 07.6 ± 68.15 720.0
Cr (mg/dL) 22.1 ± 10.1 20.0 ± 80.0 150.0
CRP (mg/L) 41.1 ± 85.1 94.0 ± 57.1 330.0
ESR (mm/hr) 98.25 ± 00.47 49.19 ± 34.38 120.0
Fer (mg/dL) 23.432 ± 02.577 92.706 ± 34.508 630.0
LDH (mg/dL) 79.187 ± 42.401 75.280 ± 82.724 001.0*
SPO2 % 56.6 ± 48.84 83.4 ± 94.81 07.0
TEMP ºC 85.0 ± 67.37 60.0 ± 60.37 710.0
PT: Prothrombin Time, PTT: Partial thromboplastin time, INR: International Normalized Ratio, WBC: White Blood Cell, LYM: lymphocytes, NEUT: Neutrophils, Hb: Hemoglobin, PLT: Platelet, AST: Aspartate Aminotransferase, ALT: Alanine Amino transferase, ALKP: Alkaline Phosphatase, BILL T: Bilirubin Total, BILL D: Bilirubin Direct, BUN: Blood Urea Nitrogen, Cr:  Creatinine, CRP: C-reactive-protein, ESR: Erythrocyte Sedimentation Rate, Fer: Ferritin, LDH: Lactate Dehydrogenase, SPO2: Oxygen saturation, TEMP: temperature
Analysis of covariance for baseline PT, PTT, and LDH as confounders showed that the LDH levels on days 5, 10, and 14 in the intervention group were significantly lower than in the control group (p < 0.05). Furthermore, a comparison of coagulation, hepatic, and renal variables across groups revealed that the PTT values on days 5 and 7 were substantially higher in the control group than in the intervention group (p < 0.05), but did not vary on other days. The alkaline phosphatase (ALP) values on days 5, 7, and 10 and aspartate aminotransferase (AST) values on day 14 in the intervention group were significantly lower than in the control group (p < 0.05). The other variables were not significantly different over the study period (Table 2).
Chills, fever, runny nose, sore throat, nausea and vomiting, diarrhea, abdominal pain on different days were not statistically different among the groups on different days. The intervention group had reported significantly reduced muscle pain on days 1 and 5, reduced cough on days 10 and 14, reduced headache on day 1, and reduced shortness of breath on day 5 over the control group (p < 0.05). (Table 3)

Table 2. Comparison of different variables at different times in the studied groups.
Variable Group Day 5 Day 7 Day 10 Day 14
PT Control 87.3 ± 08.12 87.3 ± 28.12 69.6 ± 54.13 82.8 ± 12.16
Intervention 99.4 ± 87.10 68.5 ± 08.11 59.3 ± 66.10 05.15 ± 66.20
P-value 260.0 380.0 130.0 490.0
PTT Control 40.7 ± 25.29 87.6 ± 51.28 29.12 ± 40.30 80.32 ± 25.39
Intervention 59.4 ± 00.26 05.2 ± 34.25 93.3 ± 93.24 32.1 ± 16.27
P-value 030.0* 010.0 * 1.0 390.0
INR Control 42.0 ± 11.1 50.0 ± 10.1 60.0 ± 20.1 73.1 ± 78.1
Intervention 55.0 ± 19.1 66.0 ± 18.1 40.0 ± 14.1 16.1 ± 23.2
P-value 500.0 590.0 750.0 630.0
LYM Control 82.8 ± 11.16 89.5 ± 20.11 70.6 ± 18.10 76.2 ± 25.6
Intervention 32.7 ± 25.14 56.7 ± 00.11 69.7 ± 56.10 50.2 ± 66.6
P-value 330.0 900.0 870.0 770.0
Hb Control 60.1 ± 25.14 30.1 ± 31.13 07.2 ± 88.12 09.2 ± 00.12
Intervention 12.2 ± 28.14 23.2 ± 08.14 19.1 ± 80.12 98.0 ± 26.13
P-value 950.0 900.0 080.0 200.0
PLT Control 39.63905 ± 57.190428 82.68444 ± 00.260800 01.83874 ± 72.271772 42.103439 ± 00.225000
Intervention 39.85957 ± 00.195400 92.115199 ± 71.255085 85.89935 ± 00.241200 89.87878 ± 00.195500
P-value 780.0 800.0 300.0 59.0
AST Control 50.15 ± 11.50 51.31 ± 05.45 47.41 ± 22.43 99.8 ± 00.37
Intervention 78.18 ± 34.41 90.16 ± 48.38 08.23 ± 26.33 41.6 ± 50.23
P-value 110.0 270.0 410.0 01.0*
ALT Control 81.38 ± 51.61 41.31 ± 17.56 51.35 ± 95.48 93.26 ± 00.44
Intervention 66.35 ± 37.58 17.31 ± 40.53 74.27 ± 73.39 79.31 ± 66.57
P-value 730.0 710.0 400.0 400.0
ALKP Control 92.70 ± 21.167 15.57 ± 97.160 66.65 ± 31.153 07.63 ± 00.142
Intervention 60.51 ± 28.137 72.45 ± 28.128 02.36 ± 26.115 10.33 ± 83.128
P-value 04.0* 01.0* 03.0* 650.0
BILLT Control 34.0 ± 68.0 47.0 ± 76.0 0.84± 0.71 0.84± 0.37
Intervention 27.0 ± 62.0 28.0 ± 62.0 0.71± 0.46 0.67± 0.21
P-value 380.0 140.0 0.52 0.34
BILLD Control 13.0 ± 24.0 13.0 ± 26.0 16.0 ± 28.0 77.3 ± 66.1
Intervention 12.0 ± 23.0 10.0 ± 22.0 13.0 ± 25.0 07.0 ± 18.0
P-value 590.0 150.0 590.0 36.0
BUN Control 15.69± 6.07 74.6 ± 57.18 15.6 ± 36.18 87.7 ± 37.21
Intervention 16.23± 6.74 53.5 ± 37.21 79.7 ± 66.20 80.11 ± 16.25
P-value 0.72 05.0* 320.0 480.0
CR Control 20.0 ± 80.0 17.0 ± 79.0 11.0 ± 79.0 17.0 ± 72.0
Intervention 22.1 ± 10.1 17.0 ± 84.0 15.0 ± 84.0 10.0 ± 76.0
P-value 150.0 200.0 330.0 620.0
CRP Control 1.57± 0.95 17.1 ± 51.0 96.0 ± 50.0- 70.0 ± 75.0-
Intervention 1.86± 1.42 51.1 ± 31.0 89.0 ± 66.0- 81.0 ± 66.0-
P-value 0.33 540.0 600.0 840.0
ESR Control 38.34± 19.49 26.23 ± 60.26 09.25 ± 36.20 15.20 ± 37.17
Intervention 47.00± 25.98 21.16 ± 82.25 96.9 ± 33.20 87.10 ± 16.17
P-value 0.12 0.87 990.0 980.0
Fer Control 508.3± 706.9 0.552 ±9.558 47.654 ± 40.558 13.913 ± 62.769
Intervention 577.0± 432.2 6.574 ± 77.685 60.705 ± 00.726 11.390 ± 50.647
P-value 0.63 350.0 550.0 750.0
LDH Control 727.8± 280.8 52.346 ± 2.740 05.272 ± 27.646 95.176 ± 50.706
Intervention 401.4± 187.8 75.180 ± 7.386 97.155 ± 33.323 36.153 ± 16.399
P-value <0.001 02.0# 02.0# 04.0#
PT: Prothrombin Time, PTT: Partial thromboplastin time, INR: International Normalized Ratio, LYM: lymphocytes,Hb: Hemoglobin, PLT: Platelet, AST: Aspartate Aminotransferase, ALT: Alanine Amino transferase, ALKP: Alkaline Phosphatase,BILL T: Bilirubin Total, BILL D: Bilirubin Direct, BUN: Blood Urea Nitrogen, Cr:  Creatinine, CRP: C-reactive-protein,ESR: Erythrocyte Sedimentation Rate, Fer: Ferritin, LDH: Lactate Dehydrogenase
 
Both groups experienced a considerable decrease in muscle pain. Headache decreased from 11.4% to 5.7% in the control group and from 37.1% to 0% in the intervention group. This decrease was significant in the intervention group. On days 1, 5, and 10, the severity of disease in the intervention group was substantially lower than in the control group (p < 0.05). (Table 4). The severity of disease (scale 4.) decreased from 68.6% (on day 1) to 50 % (on day 10) in the control group and from 88.6% to 46.7% in the intervention group. This decrease was more in the intervention group.

3. Frequency of symptoms at different times in the study groups
Variable Day 1 Day 5 Day 10 Day 14
Control % Intervention% P Control % Intervention% P Control % Intervention% P Control % Intervention% P  
Chills (3.34)12 14(40) 0.08 (4.11)4 (9.2)1 0.18 0(0) 0(0) 0(0) 0(0)
Shortness of breath (80)28 (1.77)27 0.177 - (4.51)18 0.006* (8.31)7 (7.26)4 0.99 0(0) (7.16)1 0.429
Fever (6.48)17 (6.48)17 0.99 (20)7 (9.2)1 0.06 0(0) (100)15 - (100)6 0(0) -
Muscular pain (3.74)26 (7.45)16 0.03* (4.29)10 (9.2)1 0.003* 0(0) 0(0) - 0(0) 0(0) -
Cough (100)35 (3.94)33 0.049 (100)35 (3.74)26 0.49 (100)22 (7.46)7 0.001* (5.87)7 (7.16)1 0.03*
Abdominal pain (9.2)1 (4.11)4 0.036 (9.2)1 0(0) 0.099 0(0) 0(0) - 0(0) 0(0) -
Headache (4.11)4 (1.37)13 0.01* (7.5)2 0(0) 0.049 0(0) 0(0) - 0(0) 0(0) -
Runny nose
and  Sore throat
11 (31.4) 4 (11.4) 0.08 0(0) 2 (5.7) 0.25 0 (0) 1 (6.7) 0.41 0(0) 0(0) -
Gastrointestinal symptoms 10 (28.6) 12 (34.3) 0.80 4 (11.4) 0(0) 0.06 1 (4.5) 0(0) 0.60 0(0) 0(0) -
Table 4. The severity of disease at different times in the study groups.
Day Clinical status on seven-point scale Control % Intervention% P
day 1 3 (4.31)11 (7.5)2 01.0*
4 (6.68)24 (6.88)31
5 (0)0 (7.5)2
day 5 3 (9.22)8 (6.9)3 03.0*
4 (1.57)20 (4.51)18
5 (20)7 (9.22)8
6 (0)0 (1.17)6
day 10 3 (6.13)3 (7.6)1 034.0*
4 (50)11 (7.46)7
5 (4.36)8 (3.13)2
6 (0)0 (7.26)4
7 (0)0 (7.6)1
day 14 4 (50)4 (9.42)6 12.0
5 (50)4 (7.16)5
6 (0)0 (4.21)3

Discussion
This study was conducted to explore the effect of silymarin on Remdesivir-induced hepatotoxicity in COVID-19 patients to introduce the hepatoprotective substance. The total and direct ALT, and bilirubin levels in the intervention and control groups were not statistically different on different days, but the ALP values on days 5, 7, and 10 and the AST values on day 14 in the intervention group were significantly lower than the control group, indicating that silymarin may have played a role in hepatic protection in theCOVID-19 patients.
The present results are supported by the fact that silymarin has been shown in many studies to be beneficial against hepatotoxicity induced by various medicines and hazardous substances, even if its effectiveness against hepatotoxicity produced by antiviral drugs has not been investigated. A meta-analysis of the effect of prophylactic treatment by silymarin (S. marianum) on the liver damage caused by anti-tuberculosis drugs in 1198 patients found that prophylactic treatment by silymarin significantly reduced serum ALT levels at weeks 2 and 4, AST levels at weeks 4 and 8, and ALP levels at week 8 [11]. In one trial, silymarin (5 mg/kg daily for one month) decreased liver enzyme levels in the patients with antiepileptic drug-induced liver damage[12]. Silymarin was shown to reduce liver enzyme levels in mice with hepatotoxicity caused by paracetamol [13], diclofenac [14], deferasirox[15], carbon tetrachloride [16], and titanium dioxide [17].
In individuals with liver illness, silymarin reduced ALT and AST levels, however the reductions were not clinically meaningful, according to a meta-analysis of 17 trials. Furthermore, studies performed in this area exhibited a high degree of heterogeneity, and low methodological quality; thus, more research is needed [18]. In the current study, in line with the previous studies, participants taking silymarin recorded reduced ALP levels on days 5, 7, and 10 and AST levels on day 14, but not on other days. Thisresult could be due to the short treatment period and low sample size; therefore, it is recommended that more studies with larger sample sizes and longer treatment periods and/or higher doses of drug be performed on COVID-19 patients.
The findings reveal that, on day l, the LDH levels differed significantly between groups, with the control group levels being much higher. The DLH was compared across groups on other days using covariance analysis and baseline LDH value control as confounders. LDH levels in the intervention group were considerably lower than in the control group on days 5, 10, and 14. LDH is a protein that is extensively secreted in bodily tissues as a result of tissue injury as the result of common injuries as well asin diseases such as heart or liver failure [19]. In a model of lipopolysaccharide-induced sepsis, silymarin was found to have a significantly protective effect on the liver and kidney and reduced LDH levels, which confirms the current findings [20].
In the control group, PT values on day 1 and PTT on days 1, 5, and 7 were significanthigher than for the intervention group. The frequency of patients with impaired values among groups was analyzed because of the mismatch between PTT and PT values on day 1, and no significant difference was found. Furthermore, when the mean PT and PTT values of patients with compromised tests were examined across groups at various times, it was shown that there was no significant difference between them. Comparing the changes in coagulation factors during the study period showed no significant differences among the groups, indicating that silymarin had no effect on the coagulation factors. Only a few studies have investigated the preventive role of silymarin against coagulation disorders. In one study, silymarin and its active components were found to reduce the synthesis of thromboxane A2 and malondialdehyde, decreasing COX activity and, thereby, platelet aggregation produced by arachidonic acid metabolism by COX [21].
BUN levels (except on day 5) and creatinine on different days were not statistically different between groups. Silymarin was shown to reduce BUN and creatinine in renal toxicity models [22]. Lack of change in BUN and creatinine among the groups in the present study could relate to them being at normal levels in the patients. Overall, this study has shown that the medication is effective in reducing the symptoms and severity of COVID-19 illness for the first time; this is probably because the medication contains antiviral and anti-inflammatory qualities.

Conclusion
The study's findings show that concomitant use of remdesivir with silymarin might reduce hepatotoxicity and ultimately improve the patients' condition. Silymarin was effective to predict the liver and reducing the severity of the disease and some symptoms in COVID-19 patients. This is likely due to the anti-inflammatory and antiviral properties of drug, which reduced the severity of the disease by counteracting the cytokine storm caused by the virus. To ascertain if silymarin has any effect on the outcomes and clinical trajectory of COVID-19, further studies with bigger sample numbers are required.

Acknowledgement
The authors would like to thank Clinical Research Development Unit, Hajar Hospital, Shahrekord University of Medical Sciences, cooperation and assistance throughout the period of study.

Conflict of interest: None declared.

References
1. Banitalebi S, Mohammadi K, Marjanian Z, Rabiei L, Masoudi R. The effect of COVID-19 epidemic on the mental health of nurses’ family members. J Educ Health Promot. 2021;10:368. [DOI] [PMID] [PMCID]
2. Rezakhani L, Kelishadrokhi AF, Soleimanizadeh A, Rahmati S. Mesenchymal stem cell (MSC)-derived exosomes as a cell-free therapy for patients Infected with COVID-19: Real opportunities and range of promises. Chem Phys Lipids. 2021;234:105009. [DOI] [PMID] [PMCID]
3. Chai X, Hu L, Zhang Y, Han W, Lu Z, Ke A, et al. Specific ACE2 expression in cholangiocytes may cause liver damage after 2019-nCoV infection. bioRxiv. 2020. [DOI]
4. Chen LY, Chu HK, Bai T, Tu SJ, Wei Y, Li ZL, et al. Liver damage at admission is an independent prognostic factor for COVID‐19. J Dig Dis. 2020;21(9):512-8. [DOI] [PMID]
5. Sarzi-Puttini P, Giorgi V, Sirotti S, Marotto D, Ardizzone S, Rizzardini G, et al. COVID-19, cytokines and immunosuppression: what can we learn from severe acute respiratory syndrome? Clin Exp Rheumatol. 2020;38(2):337-42. [DOI] [PMID]
6. Gammeltoft KA, Zhou Y, Duarte Hernandez CR, Galli A, Offersgaard A, Costa R, et al. Hepatitis C virus protease inhibitors show differential efficacy and interactions with remdesivir for treatment of SARS-CoV-2 in Vitro. Antimicrob Agents Chemother. 2021;65(9):e0268020. [DOI] [PMID] [PMCID]
7. Saller R, Meier R, Brignoli R. The use of silymarin in the treatment of liver diseases. Drugs. 2001;61(14):2035-63. [DOI] [PMID]
8. Silva CS, Portari GV, Vannucchi H. Antioxidant treatment and alcoholism. In: Patel VB, ed. Molecular Aspects of Alcohol and Nutrition. Cambridge, Massachusetts, United States: Academic Press; 2016. p.119-31. [DOI]
9. Mayer KE, Myers RP, Lee SS. Silymarin treatment of viral hepatitis: a systematic review. J Viral Hepat. 2005;12(6):559-67. [DOI] [PMID]
10. Lescure FX, Honda H, Fowler RA, Lazar JS, Shi G, Wung P, et al. Sarilumab in patients admitted to hospital with severe or critical COVID-19: a randomised, double-blind, placebo-controlled, phase 3 trial. Lancet Respir Med. 2021;9(5):522-32. [DOI] [PMID] [PMCID]
11. Tao L, Qu X, Zhang Y, Song Y, Zhang SX. Prophylactic therapy of silymarin (milk thistle) on antituberculosis drug-induced liver injury: a meta-analysis of randomized controlled trials. Can J Gastroenterol Hepatol. 2019;2019:3192351. [DOI] [PMID] [PMCID]
12. Asgarshirazi M, Shariat M, Sheikh M. Comparison of efficacy of folic acid and silymarin in the management of antiepileptic drug induced liver injury: a randomized clinical trial. Hepatobiliary Pancreat Dis Int. 2017;16(3):296-302. [DOI] [PMID]
13. Ahmad MM, Rezk NA, Fawzy A, Sabry M. Protective effects of curcumin and silymarin against paracetamol induced hepatotoxicity in adult male albino rats. Gene. 2019;712:143966. [DOI] [PMID]
14. Heidarian E, Nouri A. Hepatoprotective effects of silymarin against diclofenac-induced liver toxicity in male rats based on biochemical parameters and histological study. Arch Physiol Biochem. 2021;127(2):112-8. [DOI] [PMID]
15. Osman EY, Abo-Elnasr SE, Zaher SM, AbuoHashish NA. The Natural Antioxidants Curcumin and Silymarin Afforded Hepatoprotective Effects against Deferasirox-Induced Hepatotoxicity. 2021. [DOI]
16. Abdel-Moneim AM, Al-Kahtani MA, El-Kersh MA, Al-Omair MA. Free radical-scavenging, anti-inflammatory/anti-fibrotic and hepatoprotective actions of taurine and silymarin against CCl4 induced rat liver damage. PLoS One. 2015;10(12):e0144509. [DOI] [PMID] [PMCID]
17. Hajizadeh Moghaddam A, Ahmadi Avendi E, Sayrafi R, Zare M. Comparison of the therapeutic effects of Silymarin and Nanosilymarin on hepatotoxicity induced by titanium dioxide nanoparticles. Avicenna J Clin Med. 2017;23(4):345-51. [DOI]
18. de Avelar CR, Pereira EM, de Farias Costa PR, de Jesus RP, de Oliveira LPM. Effect of silymarin on biochemical indicators in patients with liver disease: Systematic review with meta-analysis. World J Gastroenterol. 2017;23(27):5004-17. [DOI] [PMID] [PMCID]
19. Rao PR, Viswanath RK. Cardioprotective activity of silymarin in ischemia-reperfusion-induced myocardial infarction in albino rats. Exp Clin Cardiol. 2007;12(4):179-87. [PMID] [PMCID]
20. Soltanian A, Mosallanejad B, Razi Jalali M, Najafzadeh Varzi H, Ghorbanpour M. Comparative evaluation of therapeutic effects of silymarin and hydrocortisone on clinical and hematological alterations, and organ injury (liver and heart) in a low-dose canine lipopolysaccharide-induced sepsis model. Vet Res Forum. 2020;11(3):235-41. [DOI] [PMID] [PMCID]
21. Bijak M, Saluk-Bijak J. Flavonolignans inhibit the arachidonic acid pathway in blood platelets. BMC Complement Altern Med. 2017;17(1):396. [DOI] [PMID] [PMCID]
22. Bouhalit S, Kechrid Z, Elfeki A. Effect of silymarin extracted from Silybum marianum on nickel hematotoxicity and nephrotoxicity in male albino wistar rats. Int J Pharm Pharm Sci. 2017;9(8):84-9. [DOI]

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