|Year : 2017 | Volume
| Issue : 3 | Page : 83-94
Effect of chronic hepatitis C on serum zinc and its relation as a cofactor to cognitive impairment and nutritional status in hemodialysis patients
Elsaid H Ibrahim1, Mohamed N Mowafy2, Dalia A Maharem2, Ahmad M Awad3, Sherif M Mamdouh Mohammed2
1 Department of Internal Medicine, Faculty of Medicine, Medical Research Institute, Alexandria University, Alexandria, Egypt
2 Department of Internal Medicine, Medical Research Institute, Alexandria University, Alexandria, Egypt
3 Department of Chemical Pathology, Medical Research Institute, Alexandria University, Alexandria, Egypt
|Date of Submission||17-Oct-2017|
|Date of Acceptance||11-Dec-2017|
|Date of Web Publication||1-Mar-2018|
Sherif M Mamdouh Mohammed
BHS 2004, Doctor degree in Internal Medicine, Department of Internal Medicine, Medical Research Institute, Alexandria University, Mail 21561, Alexandria
Source of Support: None, Conflict of Interest: None
Background and aim The prevalence of hepatitis C virus (HCV) infection among dialysis patients is higher than in the general population. The prevalence of cognitive impairment (CI) is common among hemodialysis (HD) patients. Also patients with end-stage liver disease are vulnerable to cognitive dysfunction. Malnutrition and inflammation are common occurrences in maintenance HD patients. About 40–78% of individuals on HD suffer from hypozincemia. Zinc deficiency has been observed with high prevalence in liver cirrhosis. This study was carried out to assess the effect of chronic HCV on serum zinc level and its relation as a cofactor to CI and nutritional status in HD patients.
Patients and methods The study involved 80 HD participants who were enrolled into two groups: group I: 40 HCV-positive HD patients (20 without liver cirrhosis and 20 with liver cirrhosis) and group II: 40 HCV-negative HD patients without liver cirrhosis. All participants were evaluated as regards detailed history and clinical examination, standardized mini-mental state examination (MMSE), malnutrition inflammation score (MIS), Child–Pugh classification, complete blood picture (CBP), prothrombin time, international normalized ratio, alanine aminotransferase, aspartate aminotransferase, serum albumin, bilirubin, blood urea, serum creatinine, Na, K, Ca, P, transferrin, ammonia, serum zinc level (predialysis and postdialysis session), virology including anti-HCV Ab, quantitative HCV PCR and hepatitis B surface antigen, Kt/V, fibrosis-4 score (FIB-4 score), and abdominal ultrasonography.
Results We found that MMSE and zinc level were significantly lower and MIS was significantly higher in HCV HD patients with liver cirrhosis when compared with HCV HD patients without liver cirrhosis and HCV-negative HD patients. A positive significant correlation was found between zinc level and MMSE while there was a negative significant correlation between zinc level and MIS.
Conclusion There may be an association between hypozincemia, CI, and malnutrition in HD patients especially those with chronic hepatitis C associated with liver cirrhosis.
Keywords: chronic hepatitis C, cognitive impairment, hemodialysis patients, nutritional status, serum zinc level
|How to cite this article:|
Ibrahim EH, Mowafy MN, Maharem DA, Awad AM, Mamdouh Mohammed SM. Effect of chronic hepatitis C on serum zinc and its relation as a cofactor to cognitive impairment and nutritional status in hemodialysis patients. Egypt J Obes Diabetes Endocrinol 2017;3:83-94
|How to cite this URL:|
Ibrahim EH, Mowafy MN, Maharem DA, Awad AM, Mamdouh Mohammed SM. Effect of chronic hepatitis C on serum zinc and its relation as a cofactor to cognitive impairment and nutritional status in hemodialysis patients. Egypt J Obes Diabetes Endocrinol [serial online] 2017 [cited 2018 May 24];3:83-94. Available from: http://www.ejode.eg.net/text.asp?2017/3/3/83/226516
| Introduction|| |
Hepatitis C virus (HCV) infection is a major public health problem, with an estimated global prevalence of 3% occurring in about 170 million infected persons worldwide and approximately four million people have been newly infected annually . This infection, particularly in its chronic form, is associated with sizable morbidity and mortality. More than 350 000 deaths are attributed to HCV infection each year, most of which are caused by liver cirrhosis and hepatocellular carcinoma .
The prevalence of HCV infection among dialysis patients is generally much higher than in the general population . Studies held in dialysis centers from different countries have shown that prevalence ranges from 1 to 84.6% .
The incidence of cognitive decline is increasing worldwide, with interventions to delay this decline becoming increasingly important. The prevalence of cognitive impairment (CI) in the UK in the Medical Research Council study was 18% . CI is common among persons with end-stage renal disease and cognitive functions have been shown to decline in patients on long-term hemodialysis (HD), with 70% of HD patients, aged more than or equal to 55 years, having moderate to severe chronic CI .
Patients with end-stage liver disease are vulnerable to cognitive dysfunction. Clinical presentation and pathophysiologic mechanisms of brain injury are dependent on the type of liver failure (fulminant vs. chronic). Chronic liver disease may present with a clinical spectrum ranging from rapidly developing acute confusion and coma to persistent and progressive CIs fully appreciated only on psychometric testing. This CI noted in the presence of a clear sensorium is often referred to as subclinical hepatic encephalopathy which was then called minimal hepatic encephalopathy .
Malnutrition and inflammation are common occurrences in maintenance HD patients and they are strong predictors of morbidity and mortality in these patients. These observations, made by different researchers, have led to the coinage of the term malnutrition inflammation complex syndrome .
Malnutrition is present in 65–90% of patients with advanced liver disease and in almost 100% of candidates for liver transplantation . Cirrhotic patients who are malnourished not only have a higher morbidity, but also an increased mortality rate . The severity of malnutrition correlates directly with the progression of the liver disease .
Zinc is the second most prevalent trace element in the human body and has important antioxidant, anti-inflammatory, and antiapoptotic effects. It is required for cell growth and maturation, and is a cofactor in many metabolic processes .
It has been estimated that 20% of the world population are zinc deficient . Zinc deficiency occurs in individuals and populations whose diets are low in sources of readily bioavailable zinc (such as red meat and seafood) and high in substances that limit zinc absorption (such as phytates, oxalates) . These dietary patterns are characteristics that are common in many developing countries .
It is a fact that 40−78% of individuals on HD suffer from low serum levels of zinc . This finding may be explained by three different reasons: due to decreased zinc intake, decreased absorption by the gastrointestinal tract and due to increased loss during HD session ,.
Zinc deficiency has been observed with high prevalence in liver cirrhosis  and this may be attributed to anorexia, changes in this element reservoir in the body, lactulose-induced diarrhea, and use of diuretics to control edema.
Brain growth and development are critically dependent on several micronutrients . Zinc is a key modulator of intracellular and intercellular neuronal signaling-4 that is found in high levels in the brain, particularly the hippocampus, which is considered to be the area involved in learning and memory , and in the amygdala, striatum, and the neocortex .
In humans, many observational studies have suggested a relationship between zinc deficiency and poor cognition ,. The essential role of zinc in the central nervous systems is marked during brain growth, particularly between 24 and 40 weeks after conception , which is the period where the brain goes through extraordinary structural changes, and it is during this critical time that the brain is most sensitive of zinc deficiency, such deficiency will affect the involvement of zinc in various enzymes and neurochemical processes such as synaptic transmission and the release of neurotransmitters .
Zinc deficiency may lead to anorexia . Appetite disorders can, in turn, cause malnutrition and inadequate zinc intake, leading to a vicious cycle. This is called ‘malnutrition induced malnutrition’ .
Zinc supplementation has been shown to improve weight gain in patients with anorexia nervosa . In a randomized, double-blind, placebo-controlled trial, a daily supplement of 14 mg zinc from zinc gluconate was found to double the rate of body mass increase compared with patients receiving the placebo control .
| Aim|| |
This work aimed to assess the effect of chronic HCV on serum zinc level and its relation as a cofactor to CI and nutritional status in HD patients.
| Patients and methods|| |
The study involved 80 HD participants from the Medical Research Institute Hemodialysis Unit and they were enrolled into two groups:
- Group I: 40 HCV-positive HD patients [20 without liver cirrhosis (subgroup IA) and 20 with liver cirrhosis (subgroup IB)].
- Group II: 40 HCV-negative HD patients without liver cirrhosis.
Participants with any other causes of CI (such as cerebrovascular disease), other causes of nutritional deficiency (such as chronic diarrhea, inflammatory bowel disease, and malignancies), and patients with hepatitis B virus infection were excluded from the study.
Note that patients were diagnosed to have hepatitis C infection by the presence of positive anti-HCV Ab and PCR. Diagnosis of liver cirrhosis was based on US combined with fibrosis-4 score (FIB-4 score). HD session were done three times per week, 4 h per session, and using bicarbonate buffer with a Kt/V of more than 1.2 to ensure adequacy of HD.
The study was conducted in accordance with the ethical guidelines of the 1975 Declaration of Helsinki and an informed consent was obtained from each patient.
| Methods|| |
All participants were evaluated as regards:
- Detailed history and clinical examination with special stress on the following:
- Age, sex of patients, and duration of HD.
- Detailed history taking with stress on history of gastrointestinal bleeding and hepatic encephalopathy.
- History of any other causes of CI (such as cerebrovascular disease).
- History of other causes of nutritional deficiency (such as chronic diarrhea, inflammatory bowel disease, and malignancies).
- History of aluminum exposure.
- Clinical manifestations of chronic liver disease including ascites, edema of lower limbs, jaundice, and splenomegaly.
- Measurement of mean blood pressure.
- Assessment of cognitive function: using standardized mini-mental state examination (MMSE) .
- Assessment of nutritional status: using malnutrition inflammation score (MIS) .
- Assessment of the degree of liver cirrhosis: using Child–Pugh classification .
- Laboratory methods:
- Estimation of complete blood picture, prothrombin time, and international normalized ratio .
- Estimation of predialysis serum alanine aminotransferase (ALT), aspartate aminotransferase (AST), albumin, bilirubin, blood urea, serum creatinine, sodium, potassium, Ca, P, transferrin .
- Estimation of serum ammonia level .
- Assessment of adequacy of HD using Kt/V.
- where ratio=post-BUN/pre-BUN.
- Assessment of virology including anti-HCV Ab, quantitative HCV PCR, and hepatitis B surface antigen .
- Assessment of serum zinc level (predialysis and postdialysis session) .
- Assessment of liver fibrosis using FIB-4 score :
- Radiological investigations:
- Abdominal ultrasonography to assess the presence of liver cirrhosis, portal hypertension, splenomegaly, and ascites .
| Results|| |
HCV-positive HD patients without liver cirrhosis included eight (40%) women and 12 (60%) men and HCV-positive HD patients with liver cirrhosis included 11 (55%) women and nine (45%) men, whereas HCV-negative patients included 17 (42.5%) women and 23 (57.5%) men with no statistically significant difference between groups as regards sex (P=0.574). The mean age in subgroup IA was 52.10±6.766 years; it was 52.15±9.132 years in subgroup IB; and 47.53±9.964 years in group II with no statistically significant difference among different groups as regards mean age (P=0.083).
The mean duration of HD showed a statistically significant difference between the three groups (P=0.005). As regards clinical manifestations of chronic liver disease, there was no statistically significant difference between both groups as regards the presenting symptoms and signs of the studied cases. As for the MBP, there was a statistically significant difference between group II and subgroup IA and between group II and subgroup IB with no statistical significance between subgroup IA and subgroup IB.
In this study, it was found that 26.4% of patients had CI (4% had severe and 22.4% had mild CI), whereas 73.6% had normal cognitive function using MMSE. The mean value of MMSE showed a statistically significant difference between subgroup IB and each of the group II and subgroup IA with no statistical significance between subgroup IA and group II (P=0.000, 0.000, 0.156, respectively). The mean value of MIS showed a statistically significant difference between subgroup IB and each of group II and subgroup IA with no statistical significance between subgroup IA and group II (P=0.002, 0.011, 0.783, respectively) ([Table 1]).
|Table 1 Comparison between studied groups according to patient’s mini-mental state examination and malnutrition inflammation score|
Click here to view
The quantitative HCV PCR showed no statistically significant difference between subgroup IA, and subgroup IB.
In subgroup IB, by ultrasonographic examination, PHT was detected in nine (45%) patients; ascites was detected in 13 (65%) patients whereas splenomegaly was detected in eight (40%) patients.
The mean of FIB-4 score in subgroup IA was 1.242±0.513 and in subgroup IB, it was 2.446±1.010 with a statistically significant difference between the two groups.
In HCV patients with liver cirrhosis, seven (35%) patients were in Child A; 13 (65%) patients were in Child B; and no patients (0%) were in Child C ([Table 2]). Child–Pugh ranged between 5 and 8 with a mean of 6.70±0.979 ([Table 3]).
|Table 2 Child class in patients with hepatitis C virus and cirrhosis group|
Click here to view
|Table 3 Distribution of the studied sample according to patient’s Child–Pugh in hepatitis C virus positive patients with cirrhosis group|
Click here to view
The percentage of patients who had zinc deficiency was 53.6% of the studied group. The mean value of zinc level before dialysis showed statistically significant difference between subgroup IB and each of the group II and subgroup IA with no statistical significance between subgroup IA and group II. The mean value of zinc level after dialysis showed a statistically significant difference between subgroup IB and each of the group II and subgroup IA with no statistical significance between subgroup IA and group II. The mean value of zinc level in all groups was significantly higher after HD when compared with its level before HD ([Table 4]).
|Table 4 Comparison between the studied groups according to patient’s zinc level|
Click here to view
There was a positive significant correlation between zinc level (before and after dialysis) and MMSE, while there was a negative significant correlation between age and MMSE and between zinc level and each of MIS and FIB-4 score (before and after dialysis) ([Table 5] and [Figure 1],[Figure 2],[Figure 3],[Figure 4],[Figure 5],[Figure 6],[Figure 7]).
|Figure 1 Correlation between age and mini-mental state examination. MMSE, mini-mental state examination.|
Click here to view
|Figure 2 Correlation between zinc level (before dialysis) and mini-mental state examination. MMSE, mini-mental state examination.|
Click here to view
|Figure 3 Correlation between zinc level (after dialysis) and mini-mental state examination. MMSE, mini-mental state examination.|
Click here to view
|Figure 4 Correlation between zinc level (before dialysis) and malnutrition inflammation score. MIS, malnutrition inflammation score.|
Click here to view
|Figure 5 Correlation between zinc level (after dialysis) and malnutrition inflammation score. MIS, malnutrition inflammation score.|
Click here to view
|Figure 6 Correlation between zinc level (before dialysis) and fibrosis-4 score. FIB, fibrosis.|
Click here to view
|Figure 7 Correlation between zinc level (after dialysis) and fibrosis-4 score. FIB, fibrosis.|
Click here to view
| Discussion|| |
HCV infection is one of the main causes of chronic liver disease worldwide . In Egypt, an Egyptian demographic health survey conducted in 2008 concluded that 14.7% of the population have been infected, making this the highest prevalence in any population in the world . HCV infection is common and is associated with significant morbidity and mortality among dialysis patients. It is more common in dialysis patients than in healthy populations . Zinc is an essential trace element which is required for the action of many enzymes. Zinc deficiency is a common problem in the world; it is frequently reported in patients with end-stage renal disease undergoing HD . Moreover, zinc deficiency has been observed with high prevalence in liver cirrhosis .
The goal of our study is to assess the effect of chronic HCV infection on serum zinc level and its relation as a cofactor to CI and nutritional status in HD patients.
Subgroup IA included eight women and 12 men with a mean age of 52.10±6.766 years and subgroup IB included 11 women and nine men with a mean age of 52.15±9.132 years, whereas group II included 17 women and 23 men with a mean age of 47.53±9.964 years with no statistically significant difference between groups as regards age and sex. The mean duration of HD was 53.75±16.065 months in subgroup IA, 45.20±10.739 in subgroup IB, and 58.48±14.884 months in group II with a statistically significant difference between the three groups. In a previous study, it has been reported that the duration of HD is significantly longer in anti-HCV-positive patients than in anti-HCV-negative patients. Further, it has been observed that patients on HD for more than 10 years have an increased incidence of HCV infection. The risk of acquiring HCV infection on HD is estimated at ∼10% per year .
In our study, the mean value of MMSE score showed a statistically significant difference between subgroup IB and each of the group II and subgroup IA with no statistical significance between subgroup IA and group II. We also found that 4% of participants had severe CI; 22.4% had mild CI; and 73.6% had normal cognitive function using MMSE.
Early studies among HD patients reported moderate rates of CI across multiple cognitive domains ,. One study in 1997 using MMSE found that 30% of 336 HD patients aged 23–93 years had mild to severe CI .
Multiple studies reported a cross-sectional, graded relation between estimated glomerular filtration rate level and cognitive function ,,. In the heart, estrogen/progesterone study among menopausal women, each 10 ml/min/1.73 m2 decrement in estimated glomerular filtration rate corresponded to an ∼15−25% increase in risk for cognitive dysfunction .
In general, the performance of patients with liver disease is found to be worse than that of healthy matched controls across a range of cognitive tests . Further, patients with more severe disease (Child–Pugh stage C) display greater cognitive deficits than patients with less severe disease on tests of immediate memory and processing speed .
The mean value of MIS showed a statistically significant difference between subgroup IB and each of group II and subgroup IA with no statistical significance between subgroup IA and group II. This is in accordance with many studies using different methods of nutritional assessment that report the prevalence of malnutrition and inadequate energy and protein intakes in patients with liver cirrhosis ,,.
Chazot’s study  assessed the nutritional status of 20 HD patients receiving HD treatment for more than 20 years and was shown that the longer the time spent on HD the more prevalent will be malnutrition .
The mean value of hemoglobin showed a statistically significant difference between subgroup IB and group II and between group II and subgroup IA with no statistical significance between subgroup IA and subgroup IB.
Although there have been many previous reports of cases with improvement of red blood cell status after hepatitis infection in patients on maintenance HD ,, the mechanisms underlying this improvement are incompletely understood. It was suggested that the liver has some potential to produce erythropoietin (EPO) apart from the kidneys. Thus, stimulation of hepatic EPO production has been considered as an explanation for lessened anemia in HD patients with viral hepatitis . In a recent explanation for the pathogenesis on the molecular level, an increase of hepatic EPO production was suggested to be related to hepatic regeneration during hepatitis and be proportional to increased interleukin-6 level .
Lin et al. , who followed up 80 chronic HD patients (30 HCV-positive and 50 HCV-negative) in Taipei Medical University Hospital for 1 year, concluded that less frequent anemia was observed in chronic hepatitis C. Also, HCV-infected patients needed lower EPO and iron doses than HCV noninfected patients. This data supported by Kranthi et al. , who reported that lesser EPO and iron requirements in HCV-infected patients compared with HCV noninfected patients.
On the other hand, Sabry et al.  studied 99 patients (70 HCV-positive and 29 HCV-negative); the result of this study showed comparable hemoglobin and hematocrit levels as well as EPO dose between the two groups. This may be attributed to resistance to EPO action secondary to chronic infection, with impaired iron availability, or perhaps suppressed erythropoiesis by humoral factors, other cytokines, or growth factors.
The small sample size of HCV-infected patients and lack of follow-up were the limitations of our study. Another limiting factor is that endogenous and exogenous EPO levels were not directly measured. Additional clinical variables, such as parathyroid hormone levels, transferrin saturation, and presence of chronic infections and other comorbidities, should be incorporated into future studies because these variables affect responsiveness to EPO therapy. Further, the primary etiology of renal failure for each individual patient should be taken into account, because different forms of renal failure cause varying degrees of EPO deficiency.
The mean value of ALT showed a statistically significant difference between subgroup IB and group IA and between group II and subgroup IA with no statistical significance between subgroup IB and group II. The mean value of AST showed a statistically significant difference between group IB and group II and between subgroup IA and group II with no statistical significance between subgroup IA and subgroup IB.
Several studies have shown that aminotransferase (AST, ALT) levels are low in patients on dialysis and this reduction appears to occur already in patients with advanced chronic kidney disease even before the initiation of renal replacement treatment ,. HD patients with chronic hepatitis C have serum aminotransferase levels which are at the upper limit but still within the normal range, although higher compared with HCV-negative HD patients.
Lemos et al.  found that HD patients infected with HCV had significantly higher ALT levels compared with the noninfected patients. On the contrary, Fabrizi et al.  showed that patients on dialysis in general tend to have lower ALT levels. Cotler et al.  also found that the serum ALT levels were significantly lower in patients with chronic renal failure.
The diminished values of liver enzymes restrict their diagnostic significance, while their use as a tool for hepatitis surveillance and follow-up is unreliable. This might be attributed to liver cell protection by the hepatocyte growth factor, which showed higher concentrations in patients on HD. The lower ALT activity in HD patients might also be a consequence of a smaller serum HCV viral load either due to the adsorption of the virus genome in the dialyzer membrane or due to the induction of endogenous interferon caused by HD . Hepatitis C had a greater tendency toward intermittent exacerbations and remissions, with a very variable and fluctuating ALT profile. Thus, patients with HCV, on dialysis, may have normal ALT levels despite significant histological liver damage .
The contribution of hemodilution in the decrease of aminotransferases has also been examined by several investigators. Yasuda et al.  observed a 15–35% increase in serum ALT/AST after dialysis compared with the predialysis values. Sombolos et al.  showed that in patients who underwent euvolemic HD, there were no differences in ALT/AST levels before and after the procedure. On the other hand, when HD with fluid removal or isolated ultrafiltration was performed, there was an increase in aminotransferase levels after the procedure.
The mean value of transferrin showed no statistically significant difference between groups. Contreras et al.  has shown HCV-infected patients to be associated with higher serum iron, ferritin, and transferrin saturation, and this supported the findings of Kalantar-Zadeh et al. . Moreover, there was increased red blood cell count, and this was in consistence with a study by Simon et al. , who found that there was increased endogenous EPO secretion in HCV-infected patients. Patients with chronic hepatitis C infection tended to have a higher ferritin level when compared with non-HCV-infected patients .
The mean value of ammonia showed a statistically significant difference between subgroup IB and each of group II and subgroup IA with no statistical significance between subgroup IA and group II, but all cases were in the normal range. In our study, the mean value of Kt/V showed no statistically significant difference between groups and it was in the target range to ensure adequate dialysis in all selected patients.
The mean value of quantitative HCV PCR was 986 171.35±2 022 931.146 IU/ml in group IA and 5 448 166.30±1921 IU/ml in group IB with no statistically significant difference between the two groups. Based on the literature data, HCV load in HD patients is usually low. However, in a few studies similar or even higher viral loads were found compared with nonuremic patients ,, while fluctuation of HCV-RNA as well as intermittent viremia have also been reported .
By ultrasonography in group HCV-positive patients with liver cirrhosis, PHT was detected in nine (45%) patients; ascites was detected in 13 (65%) patients, whereas splenomegaly was detected in eight (40%) patients. The FIB-4 score showed a statistically significant difference between HCV-positive patients with and without liver cirrhosis.
Child–Pugh in HCV-positive patients with liver cirrhosis ranged between 5 and 8 with a mean of 6.70±0.979; seven (35%) patients were in Child A; 13 (65%) patients were in Child B; and no patients (0%) were in Child C.
In the present study, we found that zinc deficiency was present in 53.6% of HD patients and the mean value of zinc level in all groups was significantly higher after HD when compared with the level before HD. We found that the mean value of zinc level before dialysis showed a statistically significant difference between subgroup IB and each of group II and subgroup IA with no statistical significance between subgroup IA and group II and the mean value of zinc level after dialysis showed a statistically significant difference between group IB and each of group II and subgroup IA with no statistical significance between subgroup IA and group II.
Previous studies have shown that the rate of zinc deficiency in patients undergoing HD has been reported to be between 40 and 78% ,. Moreover, several studies have shown that serum zinc levels were increased after HD ,,. The mechanism of elevated zinc after HD is not yet understood it could be related to an increase in transporter protein after HD. It is well known that zinc is transported bound with prealbumin, albumin, and transferrin; thus, zinc increased after HD session as these proteins are not filtered during HD.
Moreover, in the present study; there was a negative correlation between zinc level (before and after dialysis) and FIB-4 score. Mohammed et al.  studied zinc levels in 42 Egyptian patients with chronic hepatitis C. The results have shown that the levels of zinc in HCV-infected patients were decreased compared with the healthy group. This was in accordance with the result of Qasim et al.  who compared serum zinc in chronic hepatitis C patients with healthy controls; they found that the serum zinc concentration was significantly lower in HCV patients than controls.
Marchesini et al.  found that zinc deficiency is common in patients with advanced cirrhosis. Similarly, Pramoolsinsap et al.  found that serum zinc level decreased significantly in patients with chronic, active hepatitis, cirrhosis, and hepatocellular carcinoma. Kalkan et al.  and Czuczejko et al.  also reported that there was a decrease in the level of zinc in the sera of hepatitis cases.
Laguercia et al.  found that as the disease progresses from chronic hepatitis to liver cirrhosis, serum zinc concentrations decrease. Iwata et al.  concluded that the mean zinc values decreased with the progression of fibrosis and it was significantly lower in patients with varices. Moreover, the zinc level was significantly lower in patients with a high risk of bleeding than in those with a low risk. In a study by Anber et al. , there was a progressive decrease of zinc level with progression of HCV disease.
Interestingly, supplementation with zinc has been shown to improve the prognosis of cirrhotic patients, as well as the cirrhosis-related symptoms . In patients receiving oral zinc supplementation, maintenance of serum zinc concentration at more than 80 µg/dl was the most important factor associated with cancer-free survival .
On the other hand, Cesur et al.  compared serum zinc concentrations in chronic HCV patients (n=17) and healthy controls (n=17). They did not find any significant difference between healthy individuals and patients with chronic hepatitis C. This could be related to the small number included in each group.
In our study, there was a positive significant correlation between zinc level (before and after dialysis) and MMSE. Previous studies ,, suggested a positive association between zinc intake and measures of cognitive function. Ortega et al.  indicated a small but a significant correlation between increased zinc intake and MMSE test. Stoecker et al.  reported a positive correlation between plasma zinc concentration and CI. Two studies examined the association between plasma zinc concentration and cognitive score. One of these has shown that lower plasma zinc was significantly correlated with poor cognitive performance , whereas the other study  failed to find any association between plasma zinc and CI.
Our study has shown that there was a negative significant correlation between age and MMSE and this is in accordance of what has been found by Rait et al.  which showed an increasing prevalence of CI by age and this may be explained by a variety of possible causes, including medication side effects, metabolic and/or endocrine derangements, delirium due to intercurrent illness, depression, and dementia, with Alzheimer’s dementia being the most common .
In the present study, there was a negative correlation between zinc level (before and after dialysis) and MIS. This is in accordance with many clinical studies that have reinforced the link between zinc deficiency and malnutrition ,,,,,.
A study in 1995 suggested that the mean serum zinc level varied inversely with the severity of protein energy malnutrition (PEM) . Singla et al.  conducted a study among Indian children in 1996 and found the serum zinc level to be significantly low in higher grades of malnutrition. A study conducted by Gautam in 2008 showed that the serum zinc levels in Bangladeshi children having PEM were significantly lower than that in the control group .
In 2012, Khare et al.  found low level of zinc in the children having PEM. Another studies done in India and on Sudanese children with PEM showed lower serum zinc levels when compared to the control group ,.
Thus, in the present study we showed that MMSE was significantly lower and MIS was significantly higher in HCV HD patients with liver cirrhosis when compared with HCV HD patients without liver cirrhosis and HCV-negative HD patients.
Moreover, zinc level before or after dialysis was significantly lower in HCV HD patients with liver cirrhosis when compared with HCV HD patients without liver cirrhosis and HCV-negative HD patients.
Finally, a positive significant correlation was found between zinc level (before and after dialysis) and MMSE, while there was a negative significant correlation between zinc level (before and after dialysis) and MIS.
The previous findings indicate that there may be an association between hypozincemia, CI, and malnutrition in HD patients especially in those with chronic hepatitis C with liver cirrhosis and that zinc may be an important cofactor in the occurrence of CI and malnutrition in these patients.
Financial support and sponsorship
Conflicts of interest
There are no conflicts of interest.
| References|| |
Umar M, Bushra HT, Ahmad M, Khurram M, Usman S, Arif M et al.
Hepatitis C in Pakistan: a review of available data. Hepat Mon 2010; 10:205–214.
Lozano R, Naghavi M, Foreman K, Lim S, Shibuya K, Aboyans V et al.
Global and regional mortality from 235 causes of death for 20 age groups in1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012; 380:2095–2128.
Hosseini-Moghaddam SM, Keyvani H, Kasiri H, Kazemeyni SM, Basiri A, Aghel N et al.
Distribution of Hepatitis C virus genotypes among hemodialysis patients in tehran − a multicenter study. J Med Virol 2006; 78:569–573.
Rahnavardi M, Hosseini Moghaddam SM, Alavian SM. Hepatitis C in hemodialysis patients: current global magnitude, natural history, diagnostic difficulties, and preventive measures. J Nephrol 2008; 28:628–664.
Rait G, Fletcher A, Smeeth L, Brayne C, Stirling S, Nunes M et al.
Prevalence of cognitive impairment: results from the MRC trial of assessment and management of older people in the community. Age Ageing 2005; 34:242–248.
Murray A. Cognitive impairment in the aging dialysis and chronic kidney disease populations: an occult burden. Adv Chronic Kidney Dis 2008; 15:123–132.
Butterworth RF. Pathogenesis of hepatic encephalopathy: new insights from neuroimaging and molecular studies. J Hepatol 2003; 39:278–285.
Segall L, Moscalu M, Hogas S, Mititiuc I, Nistor I, Veisa G et al.
Protein-energy wasting, as well as overweight and obesity, is a long-term risk factor for mortality in chronic hemodialysis patients. Int Urol Nephrol 2014; 46:615–621.
Lautz HU, Selberg O, Körber J, Bürger M, Müller MJ. Protein calorie malnutrition in liver cirrhosis. Clin Investig 2001; 70:478–486.
Alberino F, Gatta A, Amodio P, Merkel C, Di Pascoli L, Boffo G et al.
Nutrition and survival in patients with liver cirrhosis. Nutrition 2001; 17:445–450.
Merli M, Riggio O, Dally L. Does malnutrition affect survival in cirrhosis? Hepatology 2002; 23:1041–1046.
Prasad AS. Clinical manifestations of zinc deficiency. Annu Rev Nutr 1985; 5:341.
Maret W, Sandstead HH. Possible roles of zinc nutriture in the fetal origins of disease. Exp Gerontol 2008; 43:378–381.
Sandstead HH. Causes of iron and zinc deficiencies and their effects on brain. J Nutr 2000; 130:347–349.
Walker SP, Wachs TD, Gardner JM, Lozoff B, Wasserman GA, Pollitt E et al.
Child development in developing countries risk factors for adverse outcomes in developing countries. Lancet 2007; 369:145–157.
Sandstead HH, Prasad AS, Schulert AR, Farid Z, Miale A, Bassilly S et al.
Human zinc deficiency, endocrine manifestations, and response to treatment. Am J Clin Nutr 1967; 20:422–442.
Ruz M, Carrasco F, Rojas P. Zinc absorption and zinc status are reduced after Roux-en-Y gastric bypass: a randomized study using zinc supplements. Am J Clin Nutr 2011; 94:1004.
Mahajan SK, Bowersox EM, Rye D. Factors underlying abnormal zinc metabolism in uremia. Kidney Int 1989; 27:269.
Gil EB, Ruiz MM, Cantero HJ, Diez RA, Rodrigo MM. Zinc and liver cirrhosis. Acta Gastroenterol Belg 2000; 53:292.
Huskisson E, Maggini S, Ruf M. The in fluence of micronutrients on cognitive function and performance. J Int Med Res 2007; 35:1–19.
Levenson CW. Regulation of the NMDA receptor: implications for neuropsychological development. Nutr Rev 2006; 64:428–432.
Bitanihirwe BK, Cunningham MG. Zinc: the brain’s dark horse. Synapse 2009; 63:1029–1049.
Black MM. Zinc deficiency and cognitive development. In: Benton D, editor. Life-time nutritional in fluences on cognition, behaviour and psychiatric illness woodhead publishing in food science technology and nutrition. Cambridge: Woodhead Publication Ltd; 2011. 13. 79–93.
Georgieff MK. Nutrition and the developing brain: nutrient priorities and measurement. Am J Clin Nutr 2007; 85:614–620.
Dreosti I. Zinc in brain development and function. In: Tomita H, editor. Trace elements in clinical medicine. Vol. 20. Japan: Springer; 1990. pp. 47–52.
Suzuki H, Asakawa A, Li JB, Tsai M, Amitani H, Ohinata K et al.
Zinc as an appetite stimulator − the possible role of zinc in the progression of diseases such as cachexia and sarcopenia. Recent Pat Food Nutr Agric 2011; 33:226–231.
Birmingham CL, Goldner EM, Bakan R. Controlled trial of zinc supplementation in anorexia nervosa. Int J Eat Disord 2002; 15:251–255.
Sallam K, Amr M. The use of the mini-mental state examination and the clock-drawing test for dementia in a tertiary hospital. J Clin Diagn Res 2013; 7:484–488.
Chan M, Kelly J, Batterham M, Tapsell L. Malnutrition (subjective global assessment) scores and serum albumin levels, but not body mass index values, at initiation of dialysis are independent predictors of mortality: a 10-year clinical cohort study. J Ren Nutr 2012; 22:547–557.
Durand F, Valla D. Assesment of the prognosis of cirrhosis: Child-Pugh versus MELD. J Hepatol 2005; 42:100–107.
Bain BJ, Lewis SM, Bates I, editors. Dalcie and lewis practical hematology. 10th ed. Philadelphia: Churchill Livingstone Elsevier; 2006. pp. 25–57. CBC, 470–471.
Burtis CA, Ashwod ER, Bruns DE. Tietz textbook of clinical chemistary and molecular diagnostics. 5th ed. St. Louis: Elsevier Saunders Company; 2012. 575–576. (ALT, AST), 677 (albumin), 1016–1024 (bilirubin), 679–686 (urea, creatinine), 807–835 (sodium, potassium), 1533–1534 (calcium, phosphorus), 1013–1015 (transferrin saturation), 960–965 (zinc), 1646–1647 (ammonia), respectively.
Daugirdas JT. Second generation logarithmic estimates of single-pool variable volume Kt/V: an analysis of error. JAM Soc Nephrol 1993; 4:1205–1213.
Harvey RA, Cornelissen CN, Fisher BD. Microbiology. 3rd ed. Philadelphia: Lippincott Williams & Wilkins; 2013. Viruses (anti HCV Ab, HCV PCR) pp. 273–292.
Sterling RK, Lissen E, Clumeck N, Sola R, Correa MC, Montaner J et al.
Development of a simple noninvasive index to predict significant fibrosis in patients with HIV/HCV coinfection. Hepatology 2006; 43:1317–1325.
Rumack PM, Wilson SR, Charponeau JW. Diagnostic ultrasound. 4th ed. Philadelphia, PA: Elsevier/Mospy; 2010.
Lavanchy D. Evolving epidemiology of hepatitis C virus. Clin Microbiol Infect 2011; 17:107–115.
El-Zanaty F, Way A. Egypt Demographic and Health Survey 2008. Cairo, Egypt: Ministry of Health, El-Zanaty and Associates, and Macro International 2009; 34:431.
Fissell RB, Bragg-Gresham JL, Woods JD, Jadoul M, Gillespie B, Hedderwick SA et al.
Patterns of hepatitis C prevalence and seroconversion in hemodialysis units from three continents: the DOPPS. Kidney Int 2004; 65:2335–2342.
Parsad S. A recognition of zinc deficiency syndrome. Nutrition 2001; 17:69–76.
Marchesini A, Fabbri G, Bianchi M, Brizi M, Zoli R. Zinc supplementation and amino acid-nitrogen metabolism in patients with advanced cirrhosis. Hepatology 2001; 23:1084–1092.
Natov SN, Lau JY, Bouthot BA. Serologic and virologic profiles of hepatitis C infection in renal transplant candidates. New England Organ Bank Hepatitis C Study Group. Am J Kidney Dis 1998; 31:920–927.
Ratner DP, Adams KM, Levin NW. Effects of hemodialysis on the cognitive and sensory-motor functioning of the adult chronic hemodialysis patient. J Behav Med 1983; 6:291–311.
Pliskin NH, Yurk HM, Ho LT. Neurocognitive function in chronic hemodialysis patients. Kidney Int 1996; 49:1435–1440.
Sehgal AR, Grey SF, DeOreo PB. Prevalence, recognition, and implications of mental impairment among hemodialysis patients. Am J Kidney Dis 1997; 30:41–49.
Hailpern SM, Melamed ML, Cohen HW. Moderate chronic kidney disease and cognitive function in adults 20 to 59 years of age: Third National Health and Nutrition Examination Survey (NHANES III). J Am Soc Nephrol 2007; 18:2205–2213.
Soutor C, Zieve L. Cognitive impairment in ESRD. J Am Geriatr Soc 2002; 59:20–29.
Kurella M, Yaffe K, Shlipak MG. Chronic kidney disease and cognitive impairment in menopausal women. Am J Kidney Dis 2005; 45:66–76.
Kurella M, Mapes DL, Port FK. Correlates and outcomes of dementia among dialysis patients: the Dialysis Outcomes and Practice Patterns Study. Nephrol Dial Transplant 2006; 21:2543–2548.
Pantiga C, Rodrigo LR, Cuesta M. Cognitive deficits in patients with hepatic cirrhosis and in liver transplant recipients. J Neuropsychiatry Clin Neurosci 2003; 15:84–89.
Alvares-da-Silva MR, Gottschall CB, Waechter FL, Hadlich E, Sampaio JA, Francesconi CF. The use of early enteral feeding post orthotopic liver transplantation in adults. Arq Gastroenterol 2004; 41:147–149.
Alvares-da-Silva MR, Reverbel da Silveira T. Comparison between handgrip strength, subjective global assessment, and prognostic nutritional index in assessing malnutrition and predicting clinical outcome in cirrhotic outpatients. Nutrition 2005; 21:113–117.
Peng S, Plank LD, McCall JL, Gillanders LK, McIlroy K, Gane E. Body composition, musclefunction, and energy expenditure in patients with liver cirrhosis: a comprehensive study. Am J Clin Nutr 2007; 85:1257–1266.
Chazot C, Laurent G, Charra B, Blanc C, Vovan C, Jean G et al.
Malnutrition in long term hemodialysis survivors. Nephrol Dial Transplant 2001; 16:61–69.
Meyrier A, Simon P, Boffa G. Uremia and the liver. I. The liver and erythropoiesis in chronic renal failure. Nephron 1981; 29:3–6.
Kolk-Vegter AJ, Bosch E, van Leeuven AM. Influence of serum hepatitis on hemoglobin levels in patients on regular hemodialysis. Lancet 1971; 1:526–528.
Sahin I, Arabaci F, Sahin HA. Does hepatitis C virus infection increase hematocrit and hemoglobin levels in hemodialyzed patients? Clin Nephrol 2003; 60:401–404.
Lin YL, Lin CW, Lee CH, Lai IC, Chen HH, Chen TW. Chronic hepatitis ameliorates anemia in hemodialysis patients. Nephrology (Carlton) 2008; 13:289–293.
Kranthi K, Faujdar SS, Singh A, Prabhu R. Hepatitis viruses in heamodialysis patients: an added insult to injury? Hepat Res Treat 2013; 86:514.
Sabry A, El-Dahshan K, Mahmoud K, El-Husseini A, Sheashaa H, Abo-Zenah H. Effects of hepatitis C virus infection on hematocrit and hemoglobin levels in Egyptian hemodialysis patients. Eur J Gen Med 2007; 4:9–15.
Fabrizi F, Lunghi G, Finazzi S, Colucci P, Pagano A, Ponticelli C et al.
Decreased serum aminotransferase activity in patients with chronic renal failure: impact on the detection of viral hepatitis. Am J Kidney Dis 2001; 38:1009–1015.
Yasuda K, Okuda K, Endo N, Ishiwatari Y, Ikeda R, Hayashi H et al.
Hypoaminotransferasemia in patients undergoing long-term hemodialysis: clinical and biochemical appraisal. Gastroenterology 1995; 109:1295–1300.
Lemos LB, Perez RM, Lemos MM. Hepatitis C among predialysis patients: prevalence and characteristics in a large cohort of patients. Nephron Clin Pract 2008; 108:135–140.
Cotler SJ, Diaz G, Gundlapalli S. Characteristics of hepatitis C in renal transplant candidates. J Clin Gastroenterol 2002; 35:191–195.
Adeyemo OA, Arbustini E, Gregorini M. Hemodialysis prevents liver disease caused by hepatitis C virus. Kidney Int 2002; 43:70–78.
Contreras AM, Ruiz I, Polanco-Cruz G. End-stage renal disease and hepatitis C infection, comparison of alanine aminotransferase levels and liver histology in patients with and without renal damage. Ann Hepatol 2007; 6:48–54.
Sombolos KI, Fragidis SK, Bamichas GI, Hatsiou VN, Bantis CK, Tsantekidou HS et al.
Dogma disputed: postdialysis increase of aminotransferase values cannot be attributed to an inhibitor removal by hemodialysis. ASAIO J 2012; 58:612–615.
Kalantar-Zadeh K, McAllister CJ, Miller LG. Clinical characteristics and mortality in hepatitis C-positive haemodialysis patients: a population based study. Nephrol Dial Transplant 2005; 20:1662–1669.
Simon P, Meyrier A, Tanquerel T, Ang KS. Improvement of anaemia in haemodialysed patients after viral or toxic hepatic cytolysis. Br Med J 2008; 280:892–894.
Azevedo HA, Villela-Nogueira CA, Perez RM, Segadas-Soares JA, Takahashi C, Gaburo N et al.
Similar HCV viral load levels and genotype distribution among end-stage renal disease patients on hemodialysis and HCV-infected patients with normal renal function. J Nephrol 2007; 20:609–616.
Fabrizi F, Martin P, Dixit V, Brezina M, Cole MJ, Vinson S et al.
Biological dynamics of viral load in hemodialysis patients with hepatitis C virus. Am J Kidney Dis 2000; 35:122–129.
Vanholder R, Cornelis R. The role of trace elements in uremic toxicity. Nephrol Dial Transplant 2002; 17:2–8.
Ardabili RB, Argani HG, Rashtchizadeh N, Behzad NM, Ghorashi MS, Nezami N. Paraoxonase enzyme activity is enhanced by zinc supplementation in hemodialysis patients. Renal Failure 2012; 34:1123–1128.
Anees M, Mumtaz A, Frooqi S, Ibrahim M, Hameed F. Serum trace elements (aluminium, copper, zinc) in hemodialysis patients. Biomedica 2011; 27:106–110.
Bhogade RB, Suryakar AN, Joshi NG. Effect of hemodialysis on serum copper and zinc levels in renal failure patients. Eur J Gen Med 2013; 10:154–157.
Churchwell MD, Pasko DA, Btaiche IF, Jain JC, Mueller BA. Trace element removal during in vitro and in vivo continuous haemodialysis. Nephrol Dialysis Transplant 2007; 22:2970–2977.
Mohammed N, Abbasi MS, Hasani SR, Mohebi MR, Zali J. Serum levels of trace elements in Egyptian patients with chronic hepatitis C under interferon therapy. Hepatitis 2010; 10:62–64.
Qasim RS, Saniullah AS, Muzaffar M, Abdul Aziz A, Sohail I. Serum copper and zinc concentration in patients with chronic hepatitis C. Medicine 2010; 16:27–30.
Pramoolsinsap N, Promvanit S, Komindr P, Lerdverasiriku S, Srianujata J. Serum trace metals in chronic viral hepatitis and hepatocellular carcinoma. Gastroenterology 1994; 29:610–615.
Kalkan V, Bulut I, Avcik NK, Bingol J. Trace elements in viral hepatitis. Trace Elem Med Biol 2002; 16:227–230.
Czuczejko BA, Zachara E, Topczewska SW, Halota J, Kedziora A. Selenium, glutathione and glutathione peroxidases in blood of patients with chronic liver diseases. Biochim Polon 2003; 50:1147–1154.
Laguercia V, Girolamo FL, Feng V, Catalbi C, Blanco J. Trace elements and chronic liver disease. Trace Elem Med Biol 1997; 11:158–161.
Iwata K, Enomoto H, Nishiguchi S, Aizawa N, Sakai Y, Iwata Y et al.
Serum zinc value in patients with hepatitis virus-related chronic liver disease: association with the histological degree of liver fibrosis and with the severity of varices in compensated cirrhosis. J Clin Biochem Nutr 2014; 55:147–152.
Anber NH, EL-Ghannam MZ, El-Kheshen GA, Bialy MI. Evaluation of serum zinc level in Egyptian patients with hepatitis C associated cirrhosis. J Pharm Biomed Sci 2016; 6:81–85.
Matsuoka S, Matsumura H, Nakamura H. Zinc supplementation improves the outcome of chronic hepatitis C and liver cirrhosis. J Clin Biochem Nutr 2009; 45:292–303.
Himoto T, Hosomi N, Nakai S. Efficacy of zinc administration in patients with hepatitis C virus-related chronic liver disease. Scand J Gastroenterol 2007; 42:1078–1087.
Cesur SA, Cebeci GO, Kavas N, Yilmaz DI, Buyukkagnici J. Serum copper and zinc concentrations in patients with chronic hepatitis C. J Infect 2005; 51:35–37.
Lam PK, Kritz-Silverstein D, Barrett-Connor E, Milne D, Nielsen F, Gamst A et al.
Plasma trace elements and cognitive function in older men and women: the Rancho Bernardo study. J Nutr Health Aging 2008; 12:22–27.
Gao S, Jin Y, Unverzagt FW, Ma F, Hall KS, Murrell JR et al.
Trace element levels and cognitive function in rural elderly Chinese. J Gerontol A Biol Sci Med Sci 2008; 63:635–641.
Stoecker BJ, Abebe Y, Hubbs-Tait L, Kennedy TS, Gibson RS, Arbide I et al.
Zinc status and cognitive function of pregnant women in Southern Ethiopia. Eur J Clin Nutr 2009; 63:916–918.
Ortega RM, Requejo AM, Andres P, Lopez Sobaler AM, Quintas ME, Redondo MR et al.
Dietary intake and cognitive function in a group of elderly people. Am J Clin Nutr 1997; 66:803–809.
McClain CJ, Kasarskis EJ Jr, Allen JJ. Functional consequences of zinc deficiency. Prog Food Nutr Sci 1985; 9:185–226.
Singla PN, Chand P, Kumar A, Kachhawaha JS. Serum zinc and copper levels in children with protein energy malnutrition. Indian J Pediatr 1996; 63:199–203.
Gautam B. Serum zinc and copper levels in children with protein energy malnutrition. Mymensingh Med J 2008; 17:12–15.
Khare M, Mohanty C, Das BK, Shankar R, Mishra SP. Serum micro-mineral levels in protein energy malnutrition in Eastern UP of Indian Children. Indian J Prev Soc Med 2012; 43:423–427.
Asha K, Sanghani H, Sidhu G, Sendhav S, Gandhi P, Solanki V. Serum copper and zinc levels in preschool children with protein energy malnutrition. Int J Res Med 2013; 2:7–10.
Hassan E, Aljafari AS. Estimation of serum zinc and magnesium levels in Sudanese children under five years with protein energy malnutrition. Eur J Pharm Med Res 2014; 1:91–98.
[Figure 1], [Figure 2], [Figure 3], [Figure 4], [Figure 5], [Figure 6], [Figure 7]
[Table 1], [Table 2], [Table 3], [Table 4], [Table 5]