Abstract
Background
Cognitive dysfunction in patients with chronic hepatitis C virus (HCV) infection may appear long before the development of severe liver cirrhosis. These alterations are not ascribed to hepatic encephalopathy; however, early detection is always difficult.
Objective
The aim of this study was to assess the changes of magnetic resonance spectroscopy (MRS) metabolites among chronic hepatitis C virus patients with and without cognitive impairment.
Patients and methods
A cross-sectional study was conducted in Suez Canal University Hospital. Forty-six HCV patients was included and divided into two groups: patients with and without cognitive impairment. Assessment of cognitive function was done using mini-mental state examination and Wechsler Memory Scale - Revised. Both groups were subjected to single-voxel MRS to evaluate metabolites in three brain regions: the basal ganglia, hippocampus, and posterior cingulate gyrus.
Results
The CHO/Cr was significantly higher, and NAA/Cr was significantly lower in group with cognitive impairment in the basal ganglia and posterior cingulate gyrus. Mini-mental state score had negative significant correlation with PCR of HCV. Mini-mental state score had significant negative and positive correlation with CHO/Cr and NAA/Cr, respectively, in the basal ganglia. All values of the Wechsler Memory Scale were statistically higher in the group without cognitive impairment except verbal memory score.
Conclusion
There were changes at brain metabolites associated with cognitive impairment in chronic hepatitis C patients regarding a decrease of NAA/Cr ratio and an increase of CHO/Cr ratio at the basal ganglia.
Keywords: Chronic hepatitis C, Hepatic encephalopathy, MRS, Cognitive dysfunction
Introduction
Hepatitis C virus (HCV) infection is common in Egypt. The prevalence of antibody to HCV in the general population is around 15–20% [1]. Alterations in cerebral functions in chronic HCV infection patients may appear long before the development of severe liver cirrhosis in the absence of hepatic encephalopathy. Irrespective of the severity of liver disease, about 50% of patients with chronic HCV infection showed neuropsychiatric symptoms leading to some degree of quality of life impairment [2]. Hilsabeck et al. (2003) [3] have documented neurologic abnormalities and cognitive impairments among HCV positive individuals without advanced liver disease. The HCV is thought to cross the blood brain barrier primarily by infecting surrounding monocytes and progenitor cells [4].
Studies using proton H magnetic resonance spectroscopy (H-MRS) showed decrease levels of N-acetyl aspartate (NAA) in frontal white matter and increase in myo-inosital (mI) and choline/creatine values in the basal ganglia in chronic hepatitis C patients. It is not known if these changes are related to cognitive impairment in chronic hepatitis C patients [5]. Yet, the information on the biochemical and functional changes of the brain in those patients is limited [6].
The aim of this study was assessing of changes of MRS metabolites among chronic hepatitis C virus patients with and without cognitive impairment.
Subjects and methods
A cross-sectional study was conducted in Suez Canal university hospital. The study included 46 patients with compensated chronic hepatitis C-positive patients who were eligible to antiviral therapy but not starting with, with high education level (final stage after completion of secondary education), age range 18–65 years, and both genders were included. We excluded patients with renal failure, decompensated liver disease, hypoxic encephalopathy, drug or alcohol intoxication, history of old cerebrovascular stroke, seizures, patient with pacemaker, or metal implant.
Patients were divided into two groups: patients with HCV with and without cognitive impairment. Both groups were matched for age, sex, and staging.
Included subjects were subjected to complete medical history and full abdominal and neurological examination. Laboratory investigations were done including liver function tests, renal function, and PCR for HCV.
Brain MRI and MRS was done for each subject, a high-resolution sagittal T1-weighted MR scan was acquired by using a 1.5 T Philips Achieva scanner, TR = 20 ms, TE = 5 ms, flip angle = 30, field of view = 220 mm, acquisition matrix 256, and slice thickness 1.3 mm. All subjects were investigated using cerebral MRI and MRS studies using single-voxel technique of short-time echo to identify metabolites of interest. The spectroscopic voxel of interest was positioned to assay metabolites in three brain regions: the basal ganglia (putamen and globuspallidus combined), posterior cingulate gyrus, and hippocampus. Metabolites of interest were choline (CHO), creatine (Cr), glutamine-glutamate (Glu), myo-inisotol (MYO), and N-acetyl aspartate (NAA). This attempt was to determine mainly the choline/creatine ratios (CHO/Cr ratio), myo-inistol to creatine ratio (MYO/Cr), N-acetyl aspartate-to-choline ratio (NAA/CHO ratio), glutamate to creatine ratio (Glu/Cr ratio), and N-acetyl aspartate-to-creatine ratios (NAA/Cr ratio).
Assessment of cognitive functions
It was assessed by mini-mental state examination as screening tool for categorization of patients before imaging and Wechsler Memory Scale - Revised, the short form for further details after imaging.
Mini-mental state examination (MMSE) [7]
The mini-mental state examination is probably the most widely used measure of cognitive decline. The MMSE has a maximum score of 30 points; patients with MMSE > 28 were recruited in chronic hepatitis C patients without cognitive impairment group, while patients with MMSE scores 25–28 [8] were recruited in chronic hepatitis C patients with cognitive impairment group, patients with MMSE of 24 or less were excluded.
Wechsler Memory Scale - Revised (WMS-R) short form [9]
The Wechsler Memory Scale - Revised short form comprises a series of brief subtests, each measuring a different facet of memory functions. Accordingly, WMS-R results are thought to measure the cognitive performance as follows: 1-verbal memory, 2-visual memory, 3-attention/concentration/psychomotor speed assessment, and 4-visuo-spatial function assessment. The test takes around 45 min. The subtests that were presented to the subjects as verbal stimuli were available as an Arabic version.
Statistical analysis
Data was managed using Statistical Package of Social Sciences (SPSS) version 16.0. Statistical significance tests were used and p value of less than or equal (0.05) was considered statistically significant (at 95% level of confidence). Descriptive statistics were presented as (mean ± standard deviation) for quantitative variables and as (%) for qualitative variables. Correlation was done using Pearson coefficient to assess relationships between quantitative variables. ANOVA test was used to compare means of metabolite ratios among different brain regions.
Ethical consideration
An informed written consent was taken from each patient. All data obtained from every patient were confidential and were not used outside the study. The patients have the rights to withdraw from the study at any time without giving any reason. All the cost of the investigations was afforded by the researcher.
The study was approved from ethical committee Faculty of Medicine, Suez Canal University on January 14, 2015 (research no. 2450).
Results
This study included 46 patients with chronic hepatitis c virus, 23 patients with cognitive impairment, and 23 patients without cognitive impairment. The mean age was 53.8 ± 7.4 and 47.7 ± 13.8 for the group with and without cognitive impairment, respectively. In group without cognitive impairment, 47.8% were males and 52.2% were females, while in group with cognitive impairment, 43.5% were males and 56.5% were females (Table 1). The mean of MMSE in group without cognitive impairment was 30.0 ± 0.0, and for group with cognitive impairment was 26.6 ± 0.89 (Table 1). The mean PCR for group without cognitive impairment was (45,391.3 ± 44,016.2), and for group with cognitive impairment was (685,217.3 ± 222,176.6) (Table 1).
Table 1.
Demographic data in both groups
Group without cognitive impairment N = 23 |
Group with cognitive impairment N = 23 |
p value | ||||
---|---|---|---|---|---|---|
Age | Mean ± SD | 47.7 ± 13.8 | 53.8 ± 7.4 | 0.068 a | ||
Gender | Male | 11 | 47.8% | 10 | 43.5% | 0.500 b |
Female | 12 | 52.2% | 13 | 56.5% | ||
MMSE | Median | 30 | 27 | 0.000 | ||
IQ range | 1 | |||||
Mean ± SD | 30.0 ± 0.0 | 26.6 ± 0.89 | ||||
Range | 30 | 25–28 | ||||
PCR | Mean ± SD | 45,391.3 ± 44,016.2 | 685,217.3 ± 222,176.6 | 0.000 ª |
NS no statistically significant difference
aStudent t test
bChi-square test
In the basal ganglia, the CHO/Cr and the NAA/Cr were significantly higher in the group with cognitive impairment (Table 2).
Table 2.
Basal ganglia metabolites ratios in both groups
Group without cognitive impairment Mean ± SD (N = 23) |
Group with cognitive impairment Mean ± SD (N = 23) |
p value | ||
---|---|---|---|---|
BG | Glu/Cr | 0.45 ± 0.09 | 0.46 ± 0.10 | 0.784 NSα |
CHO/Cr | 0.89 ± 0.14 | 1.00 ± 0.10 | 0.000 *α | |
MI/Cr | 0.51 ± 0.10 | 0.55 ± 0.09 | 0.122 NSα | |
NAA/CHO | 1.86 ± 0.36 | 1.83 ± 0.30 | 0.854 NSα | |
NAA/Cr | 1.59 ± 0.39 | 1.39 ± 0.31 | 0.011 *α |
NS non-statistically significant difference, BG basal ganglia
αMann-Whitney test
*Statistically significant difference
In the hippocampus, no significant differences existed between both groups regarding metabolites despite that NAA/Cr was higher in patients without cognitive impairment.
In posterior cingulate gyrus, the CHO/Cr ratio was significantly higher and NAA/Cr was significantly lower in the group with cognitive impairment (Table 3) (Figs. 1, 2, and 3).
Table 3.
Posterior cingulate gyrus metabolite ratios in both groups
Group without cognitive impairment Mean ± SD (N = 23) |
Group with cognitive impairment Mean ± SD (N = 23) |
p value | ||
---|---|---|---|---|
Cingulate gyrus | Glu/Cr | 0.44 ± 0.17 | 0.43 ± 0.16 | 0.913 NSα |
CHO/Cr | 0.86 ± 0.17 | 0.91 ± 0.16 | 0.019*α | |
MI/Cr | 0.57 ± 0.21 | 0.57 ± 0.11 | 0.167 NSα | |
NAA/CHO | 1.95 ± 0.27 | 1.91 ± 0.22 | 0.582 NSα | |
NAA/Cr | 1.62 ± 0.30 | 1.51 ± 0.19 | 0.021* a |
NS non-statistically significant difference
αMann-Whitney test
aStudent t test
*Statistically significant difference
Fig. 1.
MRS at basal ganglia in patients with cognitive impairment. Spectroscopic voxel of interest were done at basal ganglia in sagittal, coronal, and axial plans in patients with impaired attention/concentration/psychomotor score. Curve showed that NAA/Cr ratio was elevated (R = 0.499 and p value = 0.026), and CHO/Cr ratio was reduced (R = − 0.630 and p value = 0.008)
Fig. 2.
MRS at the hippocampus in patients with cognitive impairment. Spectroscopic voxel of interest were done at the hippocampus in sagittal, coronal, and axial plans in patients with impaired visual memory score. Curve showed that CHO/Cr ratio was reduced (R = − 0.445 and p value = 0.033)
Fig. 3.
MRS at posterior cingulate gyrus in patients with cognitive impairment. Spectroscopic voxel of interest was done at posterior cingulate gyrus in sagittal, coronal, and axial plans in patients with impaired Visuo-spatial function score. Curve showed that NAA/Cr ratio was elevated (R = 0.409 and p value = 0.009)
Mini-mental state score had negative significant correlation with PCR of HCV; however, increase virus load was associated with decrease in MMSE score (p value = 0.032) (Table 4) and (Fig. 4).
Table 4.
Mini-mental state score and PCR of HCV in the study group
Mini-mental state score | ||
---|---|---|
r | p value | |
PCR HCV | − 0.448 | 0.032 * |
*Statistically significant difference-Pearson correlation
Fig. 4.
Mini-mental state score and PCR of HCV in the study group
Mini-mental state score had significant negative and positive correlation with CHO/Cr and NAA/Cr, respectively, in the basal ganglia (Table 5). On the other hand, mini-mental state score had no significant correlation with any metabolites of the hippocampus or posterior cingulate gyrus.
Table 5.
Mini-mental state score and basal ganglia metabolites in the study group
Mini-mental state score | |||
---|---|---|---|
r | p value | ||
BG | Glu/Cr | 0.156 | 0.478 NS |
CHO/Cr | − 0.423 | 0.013* | |
MI/Cr | 0.048 | 0.827 NS | |
NAA/CHO | − 0.083 | 0.707 NS | |
NAA/Cr | 0.610 | 0.029* |
NS non-statistically significant difference
*Statistically significant Pearson correlation
All values of the Wechsler Memory Scale components were statistically higher in the group without cognitive impairment compared to group with cognitive impairment except verbal memory score (Table 6).
Table 6.
Wechsler Memory Scale in both groups
Group without cognitive impairment N = 23 |
Group with cognitive impairment N = 23 |
p value | |
---|---|---|---|
Visual memory assessment | 66.47 ± 2.01 | 60.82 ± 2.16 | 0.000 *α |
Verbal memory assessment | 51.91 ± 1.34 | 48.04 ± 1.79 | 0.253 NSa |
Attention/concentration/psychomotor | 27.95 ± 1.36 | 21.73 ± 1.88 | 0.000 *α |
Visuo-spatial function assessment | 40.08 ± 0.90 | 34.0 ± 2.43 | 0.000 α* |
αMann-Whitney test
aStudent t test
*Statistically significant difference
Verbal memory score had no significant correlation with any metabolites of the basal ganglia or hippocampus. Verbal memory assessment score had only negative significant correlation with CHO/Cr ratio in cingulate gyrus (R = − 0.424 and p value = 0.044), no significant correlation with any metabolites of the basal ganglia or hippocampus.
Visual memory score had no significant correlation with any metabolites of the basal ganglia. On other hand, visual memory assessment score had negative significant correlation with CHO/Cr (R = − 0.445 and p value = 0.033) and Mi/Cr (R = − 0.513 and p value = 0.012) ratio in the hippocampus. Also, visual memory assessment score had significant positive correlation with NAA/Cr (R = 0.553 and p value = 0.024) in posterior cingulate gyrus.
In the basal ganglia of the study group, attention/concentration/psychomotor score had significant negative and positive correlation with CHO/Cr (R = − 0.630 and p value = 0.008) and NAA/Cr (R = 0.499 and p value = 0.026), respectively. On the other hand, attention/concentration/psychomotor score had no significant correlation with any metabolites of the hippocampus or cingulate gyrus.
Visuo-spatial function assessment score had a significant positive correlation with NAA/Cr (R = 0.409 and p value = 0.009) in both cingulate gyrus areas. It had no significant correlation with all metabolites in basal ganglia and hippocampus (Figs. 1, 2, and 3).
Discussion
In this study, we compared between brain metabolites using single-voxel brain magnetic resonance spectroscopy in chronic hepatitis C virus patients with and without cognitive impairment. We found that the Cho/Cr ratio was elevated significantly in the basal ganglia and posterior cingulate gyrus in group with cognitive impairment. In contrast, there was a significant decrease of NAA/Cr ratio in those patients. At hippocampal regions, there were no significant differences between both groups. Elevations in cerebral CHO and reduction in NAA in white matter suggested decreasing neuronal activity and glial inflammation and activation [10]. On the contrary from hepatic encephalopathy where the CHO/Cr ratio is reduced, suggesting a different mechanism underlies the findings in HCV infection [11].
Our findings were in agreement with Weissenborn and his colleagues [6]. They found that NAA/Cr signal ratio is reduced over the occipital gray matter. The change in NAA/Cr is more likely to be multifactorial due to viral load and cognitive impairment [6]. Other studies also demonstrated elevations in cerebral CHO and reduction in NAA/Cr in white matter and basal ganglia [10, 12–14].
On the other hand, Forton and his colleagues in 2008 [15] and Thames and colleagues in 2015 [16] found an elevation of mI/Cr ratio in cerebral white matter in chronic hepatitis C patients. They demonstrated a positive correlation between frontal white matter mI and overall cognitive performance. Also, they found elevation of NAA in the basal ganglia. In our study, we did not find statistically significant difference regarding mI/Cr ratio between both groups. This difference may be a result of MRS parameter differences and different methods between studies.
There was a significant negative correlation regarding HCV load by PCR and mini-mental state examination. This finding is in agreement with previous studies which proved that HCV infects the brain cells and may be associated with a neuro-inflammatory process that leads to impairment of cognitive function in compensated hepatitis C virus patients without history of hepatic encephalopathy [17–19]. The mechanism of cognitive impairment is related to change at the level of brain neurotransmitters due to neuro-inflammation and immune response [16].
In studying the correlation between mini-mental state examination and brain metabolites in the group with cognitive impairment, we found significant positive correlation with NAA/Cr and significant negative correlation with CHO/Cr ratio at the basal ganglia study site while there were no significant correlations at the hippocampus and posterior cingulate gyrus study sites. These results agreed with previous studies [15, 16, 20].
These findings were associated with poor cognitive function regarding working memory, psychomotor speed, and reaction time. These findings were explained by microglial activation due to viral infection leading to neuro-inflammation and changes at the level of brain neurotransmitters [21].
Regarding Wechsler Memory Scale and its correlation with brain metabolites, we found a significant positive correlation of visual memory subtests with NAA/Cr at the posterior cingulate gyrus, negative significance with CHO/Cr and Mi/Cr at the hippocampus in the group with cognitive impairment. Furthermore, verbal memory showed negative significance with CHO/Cr ratio at posterior cingulate study site. Attention, concentration, and psychomotor speed subtests of Wechsler Memory Scale showed a significant positive correlation with NAA/Cr and significant negative correlation with CHO/Cr ratio at the basal ganglia study site while hippocampus and posterior cingulate gyrus study sites were statistically insignificant. Visuo-spatial function subtest showed a significant positive correlation with NAA/Cr at posterior cingulate gyrus and non-significant correlation with basal ganglia and hippocampus study sites.
These findings were in agreement with Martindale et al. [21] as NAA/Cr was lower in chronic hepatitis C patients with cognitive impairment at frontal white matter and basal ganglia with elevation of CHO/Cr at the basal ganglia study site.
In conclusion, altered cognition and neuropsychological performance are frequently found in chronic hepatitis C patients without hepatic encephalopathy. These changes typically occur without structural brain abnormality by magnetic resonance imaging of the brain in those patients. There is a significant negative correlation with PCR virus load of HCV and cognitive function. There are changes at brain metabolites associated with cognitive impairment in chronic hepatitis C patients regarding decrease NAA/Cr ratio, increase of CHO/Cr ratio at the basal ganglia. Attention, concentration, psychomotor speed, and visuo-spatial function are more affected in HCV patients than other domains.
This study had several limitations. Firstly, we faced inadequate funding resources. Secondly, sample population was relatively small to generalize the concept of associated cognitive impairment with higher hepatitis C virus infection. Administrative issues regarding interruption of case recruitment (frequent technical problems in MRI machine and software).
Acknowledgements
Not applicable
Funding
Not applicable
Availability of data and materials
The data that support the findings of this study are available from Faculty of Medicine, Suez Canal University, Egypt, but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of Faculty of Medicine, Suez Canal University, Egypt.
Abbreviations
- CHO
Choline
- Cr
Creatine
- Glu
Glutamate
- HCV
Hepatitis C virus
- mI
Myo-inosital
- MMSE
Mini-mental state examination
- MRS
Magnetic resonance spectroscopy
- NAA
N-acetyl aspartate
- PCR
Polymerase chain reaction
- WMS-R
Wechsler Memory Scale - Revised
Authors’ contributions
AA participated in the design of the study, guidance, follow-up, and the final revision of the manuscript. YA participated in its design and coordination and helped to draft the manuscript. MN participated in the design of the study, guidance, follow-up, final revision, sequence alignment, and draft of the manuscript. MA participated in the guidance, follow-up, and the final revision of the manuscript. KG led the practical work, follow-up, and guidance of the study. EH carried out practical work, participated in the design of the study, and performed the statistical analysis. All authors read and approved the final manuscript.
Ethics approval and consent to participate
An informed written consent was taken from each patient. All data obtained from every patient were confidential and were not used outside the study. The patients have the rights to withdraw from the study at any time without giving any reason. All the cost of the investigations was afforded by the researcher.
The study was approved from ethical committee Faculty of Medicine, Suez Canal University on 14/1/2015 (research no. 2450).
Consent for publication
Not applicable
Competing interests
The authors declare that they have no competing interests.
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References
- 1.Frank C, Mohamed MK, Strickland GT, Lavanchy D, Arthur RR, Magder LS, et al. The role of parenteral antischistosomal therapy in the spread of hepatitis C virus in Egypt. Lancet Lond Engl. 2000;355(9207):887–891. doi: 10.1016/S0140-6736(99)06527-7. [DOI] [PubMed] [Google Scholar]
- 2.Horeya M, Amany S, Mohamed E. Neuropsychiatric disorders and magnetic resonance spectroscopy in chronic hepatitis C patients. Egypt J Neurol Psychiat Neurosurg. 2014;51(3):345. [Google Scholar]
- 3.Hilsabeck RC, Hassanein TI, Carlson MD, Ziegler EA, Perry W. Cognitive functioning and psychiatric symptomatology in patients with chronic hepatitis C. J Int Neuropsychol Soc. 2003;9(6):847–854. doi: 10.1017/S1355617703960048. [DOI] [PubMed] [Google Scholar]
- 4.Fletcher NF, Yang JP, Farquhar MJ, Hu K, Davis C, He Q, et al. Hepatitis C virus infection of neuroepithelioma cell lines. Gastroenterology. 2010;139(4):1365–1374. doi: 10.1053/j.gastro.2010.06.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Liang Y, Shilagard T, Xiao S-Y, Snyder N, Lau D, Cicalese L, et al. Visualizing hepatitis C virus infections in human liver by two-photon microscopy. Gastroenterology. 2009;137(4):1448–1458. doi: 10.1053/j.gastro.2009.07.050. [DOI] [PubMed] [Google Scholar]
- 6.Weissenborn K, Krause J, Bokemeyer M, Hecker H, Schüler A, Ennen JC, et al. Hepatitis C virus infection affects the brain-evidence from psychometric studies and magnetic resonance spectroscopy. J Hepatol. 2004;41(5):845–851. doi: 10.1016/j.jhep.2004.07.022. [DOI] [PubMed] [Google Scholar]
- 7.Folstein MF, Folstein SE, McHugh PR. “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12(3):189–198. doi: 10.1016/0022-3956(75)90026-6. [DOI] [PubMed] [Google Scholar]
- 8.O’Caoimh R, Gao Y, Svendrovski A, Gallagher P, Eustace J, Molloy DW. Comparing approaches to optimize cut-off scores for short cognitive screening instruments in mild cognitive impairment and dementia. J Alzheimers Dis. 2017;57(1):123–133. doi: 10.3233/JAD-161204. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Elwood RW. The Wechsler Memory Scale—Revised: psychometric characteristics and clinical application. Neuropsychol Rev. 1991;2(2):179–201. doi: 10.1007/BF01109053. [DOI] [PubMed] [Google Scholar]
- 10.McAndrews MP, Farcnik K, Carlen P, Damyanovich A, Mrkonjic M, Jones S, et al. Prevalence and significance of neurocognitive dysfunction in hepatitis C in the absence of correlated risk factors. Hepatol Baltim Md. 2005;41(4):801–808. doi: 10.1002/hep.20635. [DOI] [PubMed] [Google Scholar]
- 11.Taylor-Robinson SD, Buckley C, Changani KK, Hodgson HJ, Bell JD. Cerebral proton and phosphorus-31 magnetic resonance spectroscopy in patients with subclinical hepatic encephalopathy. Liver Int. 1999;19(5):389–398. doi: 10.1111/j.1478-3231.1999.tb00067.x. [DOI] [PubMed] [Google Scholar]
- 12.Forton DM, Allsop JM, Main J, Foster GR, Thomas HC, Taylor-Robinson SD. Evidence for a cerebral effect of the hepatitis C virus. Lancet Lond Engl. 2001;358(9275):38–39. doi: 10.1016/S0140-6736(00)05270-3. [DOI] [PubMed] [Google Scholar]
- 13.Bokemeyer M, Ding X, Goldbecker A, Raab P, Heeren M, Arvanitis D, et al. Evidence for neuroinflammation and neuroprotection in HCV infection-associated encephalopathy. Gut. 2010;gut-2010. [DOI] [PubMed]
- 14.Bladowska J, Zimny A, Knysz B, Małyszczak K, Kołtowska A, Szewczyk P, et al. Evaluation of early cerebral metabolic, perfusion and microstructural changes in HCV-positive patients: a pilot study. J Hepatol. 2013;59(4):651–657. doi: 10.1016/j.jhep.2013.05.008. [DOI] [PubMed] [Google Scholar]
- 15.Forton DM, Hamilton G, Allsop JM, Grover VP, Wesnes K, O’Sullivan C, et al. Cerebral immune activation in chronic hepatitis C infection: a magnetic resonance spectroscopy study. J Hepatol. 2008;49(3):316–322. doi: 10.1016/j.jhep.2008.03.022. [DOI] [PubMed] [Google Scholar]
- 16.Thames AD, Castellon SA, Singer EJ, Nagarajan R, Sarma MK, Smith J, et al. Neuroimaging abnormalities, neurocognitive function, and fatigue in patients with hepatitis C. Neurol Neuroimmunol Neuroinflammation. 2015;2(1):e59. doi: 10.1212/NXI.0000000000000059. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Fishman SL, Murray JM, Eng FJ, Walewski JL, Morgello S, Branch AD. Molecular and bioinformatic evidence of hepatitis C virus evolution in brain. J Infect Dis. 2008;197(4):597–607. doi: 10.1086/526519. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Fletcher NF, Wilson GK, Murray J, Hu K, Lewis A, Reynolds GM, et al. Hepatitis C virus infects the endothelial cells of the blood-brain barrier. Gastroenterology. 2012;142(3):634–643. doi: 10.1053/j.gastro.2011.11.028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Wilkinson J, Radkowski M, Laskus T. Hepatitis C virus neuroinvasion: identification of infected cells. J Virol. 2009;83(3):1312–1319. doi: 10.1128/JVI.01890-08. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Grover VPB, Pavese N, Koh S-B, Wylezinska M, Saxby BK, Gerhard A, et al. Cerebral microglial activation in patients with hepatitis C: in vivo evidence of neuroinflammation. J Viral Hepat. 2012;19(2):e89–e96. doi: 10.1111/j.1365-2893.2011.01510.x. [DOI] [PubMed] [Google Scholar]
- 21.Martindale SL, Hurley RA, Taber KH. Neurobiology and neuroimaging of chronic hepatitis C virus: implications for neuropsychiatry. J Neuropsychiatry Clin Neurosci. 2017;29(4):A6–307. doi: 10.1176/appi.neuropsych.17080163. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data that support the findings of this study are available from Faculty of Medicine, Suez Canal University, Egypt, but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of Faculty of Medicine, Suez Canal University, Egypt.