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Wozniak 1
Apolipoprotein E-ε4 deficiency and cognitive function in hepatitis C virus -infected patients
M. A. Wozniak, PhD,1 L. M. Lugo Iparraguirre,2 M. Dirks, MD,2 M. Deb-Chatterji,MD,2 H.
Pflugrad,MD,2 A. Goldbecker,MD,2 A. B.Tryc, MD,2 H.Worthmann,MD,2 M. Gess, MD, 3 M. M.E.
Crossey,4 D. M. Forton,MD,3 S. D. Taylor-Robinson, Professor,4 R. Itzhaki, Professor,1* K.
Weissenborn,Professor.2
1Faculty of Life Sciences, University of Manchester, Manchester M60 1QD, United Kingdom
2Dept. of Neurology, Hannover Medical School, 30623 Hannover, Germany
3Dept. of Gastroenterology and Hepatology, St George’s Hospital and Medical School, London
SW17 0QT, United Kingdom
4 Dept. of Medicine, St Mary´s Hospital Campus, Imperial College London, London W2 1NY,
United Kingdom
*Present address: Nuffield Dept. Clinical Neurosciences, University of Oxford, Level 6, West
Wing, John Radcliffe Hospital, Oxford, OX3 9DU
Corresponding Author:
Professor Karin Weissenborn
Department of Neurology
Hannover Medical School,
30623 Hannover, Germany
Phone: 0049-511-532-2339; Fax: 0049-511-532-3115;
e-mail: [email protected]
running title: ApoE and cognition in HCV patients
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e-mail addresses of all authors:
Matthew A Wozniak: [email protected]
Lea Margrit Lugo Iparraguirre: [email protected]
Meike Dirks: [email protected]
Milani Deb-Chatterji: [email protected]
Henning Pflugrad: [email protected]
Annemarie Goldbecker: [email protected]
Anita Blanka Tryc: [email protected]
Hans Worthmann: [email protected]
Markus Gess: [email protected]
Mary ME Crossey: [email protected]
Daniel M Forton: [email protected]
Simon D Taylor-Robinson: [email protected]
Ruth Itzhaki: [email protected]
Karin Weissenborn: [email protected]
The statistical analysis of the data was conducted by M.A. Wozniak; Faculty of Life Sciences,
University of Manchester, Manchester M60 1QD, United Kingdom
Supplemental references and tables are available electronically (SR-1 to SR-10, table e-1, table e-2)
Study funding: The genotyping was partially financed by a grant from Pfizer Inc. to SDT-R. SDT-R
and MMEC are grateful to the United Kingdom National Institute for Health Research (NIHR)
Biomedical Facility at Imperial College London for infrastructure support. MMEC is supported by
a Fellowship from the Sir Halley Stewart Trust (Cambridge, UK).
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Search terms: All Clinical Neurology [14], All Cognitive Disorders [25], Viral Infections [142
Word count:
Abstract: 227 words
Main Text: 2878 words
Number of tables: 2
Number of figures: 0
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Authors’ Contributions
Matthew A Wozniak: study concept and design, APO E genotyping, analysis and interpretation of
data, statistical analysis, drafting of the manuscript; critical revision of the manuscript for important
intellectual content
Lea Margret Lugo Iparraguirre: recruitment of participants, psychometric testing, analysis and
interpretation of the data, critical revision of the manuscript for important intellectual content
Meike Dirks: recruitment of participants, psychometric testing, analysis and interpretation of the
data, critical revision of the manuscript for important intellectual content
Milani Deb-Chatterji: recruitment of participants, critical revision of the manuscript for important
intellectual content
Henning Pflugrad: recruitment of participants, psychometric testing, analysis and interpretation of
the data, critical revision of the manuscript for important intellectual content
Annemarie Goldbecker: recruitment of participants, analysis and interpretation of the data, critical
revision of the manuscript for important intellectual content
Anita Blanka Tryc: recruitment of participants, critical revision of the manuscript for important
intellectual content
Hans Worthmann: recruitment of participants, critical revision of the manuscript for important
intellectual content
Markus Gess: critical revision of the manuscript for important intellectual content
Mary ME Crossey: critical revision of the manuscript for important intellectual content
Daniel M Forton: drafting of the manuscript, critical revision of the manuscript for important
intellectual content
Simon D Taylor-Robinson: drafting of the manuscript, critical revision of the manuscript for
important intellectual content, obtained funding
Ruth Itzhaki: study concept, interpretation of data; drafting of the manuscript; critical revision of
the manuscript for important intellectual content
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Karin Weissenborn: study concept and design, recruitment of participants, analysis and
interpretation of data, drafting of the manuscript; critical revision of the manuscript for important
intellectual content
Study funding: The genotyping was partially financed by a grant from Pfizer Inc. to SDT-R. SDT-R
and MMEC are grateful to the United Kingdom National Institute for Health Research (NIHR)
Biomedical Facility at Imperial College London for infrastructure support. MMEC is supported by
a Fellowship from the Sir Halley Stewart Trust (Cambridge, UK).
Disclosures
Matthew A Wozniak reports no disclosures.
Lea Margrit Lugo Iparraguirre reports no disclosures
Meike Dirks reports no disclosures
Milani Deb-Chatterji reports no disclosures
Henning Pflugrad reports no disclosures
Annemarie Goldbecker reports no disclosures
Anita Blanka Tryc reports no disclosures
Hans Worthmann reports no disclosures
Markus Gess reports no disclosures
Mary ME Crossey reports no disclosures
Daniel M Forton reports no disclosures
Simon D Taylor-Robinson reports a grant from Pfizer Inc. that helped financing the genotyping
Ruth Itzhaki reports no disclosures
Karin Weissenborn reports no disclosures
Wozniak 6
List of abbreviations
HCV – hepatitis C virus
APOE - apolipoprotein E gene
apo E – apolipoprotein E protein
HIV – human immunodeficiency virus
DNA - deoxyribonucleic acid
PCR - Polymerase-Chain-Reaction
TAP- test battery for the assessment of attention
HADS - Hospital Anxiety and Depression Scale
BDI - Beck Depression Inventory
FIS - Fatigue Impact Scale
WFMT - word-figure memory test
RFT - Recurring Figures Test
BBB – blood brain barrier
MRS magnetic resonance spectroscopy
PET - positron emission tomography
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Abstract
Objective: Hepatitis C virus causes not only liver damage in certain patients but can also lead to
neuropsychiatric symptoms. Previous studies have shown that the type 4 allele of the gene for
apolipoprotein E is strongly protective against hepatitis C virus-induced damage in liver. In the
present study, we have investigated the possibility that APOE genotype is involved in the action of
hepatitis C virus in brain.
Methods: 100 hepatitis C virus-infected patients with mild liver disease underwent a neurological
examination and a comprehensive psychometric testing of attention and memory function. In
addition, patients completed questionnaires for the assessment of fatigue, health-related quality of
life and mood disturbances. APOE-genotyping was done on saliva using buccal swabs.
Results: The APOE-ε4 allele frequency was significantly lower in patients with an impairment of
working memory, compared to those with a normal working memory test result (p=0.003). A lower
APOE-ε4 allele frequency was also observed in patients with definitely altered attention ability
(p=0.008), but here the p-value missed the level of significance after application of the Bonferroni
correction.
Conclusions: Our data suggest that the APOE-ε4 allele is protective against attention deficit and
especially against poor working memory in HCV-infected subjects with mild liver disease.
Considering the role of apolipoprotein E in the life cycle of the virus the findings shed interesting
new light upon possible pathomechanisms behind the development of neuropsychiatric symptoms
in hepatitis C infection.
Keywords: virus replication, neurodegeneration, cerebral lipoprotein metabolism, attention, HCV
encephalopathy
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Introduction
Current World Health Organisation estimates suggest that, globally, 170 million people are infected
with hepatitis C virus (HCV), with 3-4 million new infections each year. Like many infectious
agents, HCV causes a variety of outcomes: patients can experience no symptoms, but liver
involvement may encompass a spectrum from mild liver disease, cirrhosis to liver cancer. A
considerable amount number of patients also exhibit neuropsychiatric symptoms, such as
depression, fatigue, and deficits in attention, concentration and memory.1 The reason why there are
different clinical syndromes probably reflects both underlying host and viral factors. In the case of
liver disease caused by HCV, one factor that is involved is apolipoprotein E (gene: APOE; protein:
apoE). This polymorphic gene has three common alleles (APOE-ε2, -ε3 and -ε4) that give rise to
three common protein isoforms (apoE2, apoE3 and apoE4).2 The main functions of the apoE protein
are the transport of lipids around the body and the repair of damaged tissue.2 APOE is also a key
determinant of the outcome of infection, with possession of certain alleles conferring risk of, or
protection against, damage caused by several infectious agents, including HIV3, Herpes simplex
virus types 14 and 25 ,Mycobacterium tuberculosis6 and Plasmodium falciparum7 For HCV, the
APOE-ε4 allele confers protection against severe liver disease.8 Subsequent studies have confirmed
the beneficial role of APOE-ε4 in HCV disease: Richardson and colleagues9 demonstrated that
HCV-induced liver damage progression was more rapid in those who lacked an APOE-ε4 allele;
Price and colleagues10 found that the APOE-ε2 and APOE-ε4 alleles were both associated with
increased clearance of the virus and that the APOE-ε3 allele was a risk for HCV persistence; and
Toniutto and colleagues11,12 showed that HCV-infected individuals who received a liver transplant
and had an APOE-ε4 allele had a slower liver disease progression rate than recipients carrying the
other alleles.
We hypothesised that HCV-induced development of neuropsychiatric symptoms might also depend
on possession of a particular APOE allele.. We therefore investigated the role of APOE in the
occurrence of neuropsychiatric complications in HCV-infected patients.
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Materials and Methods
Patients
100 HCV-infected patients with mild liver disease (32 male) aged 25-75 years were recruited at
Hannover Medical School, Hannover, Germany. 84 patients were infected with HCV genotype 1.
Eighty-one patients were HCV-RNA positive. Forty-six patients had undergone interferon treatment
several years previously. The time period since infection was more than 25 years in most of those in
whom the route of transmission was clear. The majority of patients had been infected via blood
transfusion (n=37), or by treatment with immunoglobulins (n=34). Seven patients had a history of
intravenous drug abuse more than 25 years ago. In four patients, occupational transmission was
considered likely, and in one, maternal transmission. In 17 patients, the route of transmission
remained unclear. Clinical findings, liver biopsy results and/or APRI scores showed that none of the
patients had cirrhosis. Patients with concomitant diseases, or with medication which might impair
brain function, were excluded from the study, as were patients with ongoing alcohol or drug abuse.
Clinical assessment
Besides neurological examination the patients underwent comprehensive psychometric testing. In
addition, they completed questionnaires for the assessment of health-related quality of life and
mood disturbances. The psychometric test battery applied comprised the PSE-Syndrome-TestSR-1 the
cancelling “d”-testSR-2 and several subtests of the TAP-battery, a battery of attention testsSR-3.
Furthermore, the Hospital Anxiety and Depression Scale (HADS)SR-4, Beck Depression Inventory
(BDI)SR-5, the Fatigue Impact Scale (FIS)SR-6, and the SF-36 questionnaireSR-7 were performed.
Seventy-four patients performed Luria’s list of wordsSR-8, the word-figure memory test (WFMT)SR-9
and the Recurring Figures Test (RFT)SR-10 for the assessment of learning ability and memory.
The individual results of the cancelling “d”-test, the TAP-battery subtests and the RFT were
compared to the available norm data and expressed as percentiles. Since in practice percentiles less
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than 10 are considered clinically relevant, the 10th percentile (accordingly z-scores ≤ -1.3) was used
as cut-off between normal and abnormal results. To achieve a sum score for each patient’s
individual attention ability, we calculated the ratio between of the maximal achievable number of
abnormal results and to the patient’s number of abnormal results (attention test sum score).
Attention tests results were summarized in a score ranging from 0-1. Scores above 0.35 are were
considered abnormal.
Test results of the WFMT are were expressed as z-scores after comparison with normal data,
adjusted for age and education. In accordance with the evaluation of the attention tests, z-scores ≤ -
1.3 were scored as abnormal. PSE-test results of less than -4 points were regarded as abnormal, as
recommended in the test manual.
APOE genotyping
Buccal swabs were used for APOE genotyping. DNA was prepared from the swabs using the
Nucleospin tissue preparation kit (ABgene, Epsom, UK) according to manufacturer’s instructions.
Swabs were left in PBS for 1 hour and then proteinase K and lysis buffer were added. After a 10-
min incubation at 70ºC, the DNA was ethanol-precipitated, bound to a column, washed and then
eluted. The extracted DNA was checked for quality and quantity using the Nanodrop 1000
spectrophotometer (Thermo Scientific, Wilmington, USA) and stored at -20C. The APOE genotype
was then determined using the method of Wenham et al.13, but using Hotstartaq® (Qiagen, Crawley,
UK) and agarose gel electrophoresis.
Standard Protocol Approvals, Registrations, and Patient Consents
The study was approved by the institutional ethics committee and complied with the precepts set
out in the 1975 Helsinki Declaration on human rights. Patients were included after giving their
written, informed consent.
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Statistics
To determine the influence of APOE on the psychometric tests conducted, subjects were divided
into those with and those without a specific allele. For example, subjects were divided into APOE-
ε2 allele possessors (i.e., those subjects with genotypes APOE-ε2ε2, ε2ε3 and ε2ε4) and those who
did not possess an APOE-ε2 allele (i.e., APOE-ε3ε3, ε3ε4 and ε4ε4 subjects). The means of the
different tests were compared by ANOVA using SPSS version 15.0 for Windows. Similarly, to
determine the influence of the APOE-ε4 allele, subjects were divided into APOE-ε4 allele
possessors and non-possessors. The subjects were not divided into those with and those without an
APOE-ε3 as there were far too few subjects without an APOE-ε3 allele. For some categories,
subjects were divided into abnormal and normal scores and the APOE allele frequencies were
determined for each group. Statistical significance in these cases was determined using 2 analysis.
A Bonferroni correction was applied and results were considered significant if p≤0.003.
Results
There were no differences in any of the psychometric test results between APOE-ε2 allele
possessors and non-possessors, and the same was true for APOE-ε4 (Tables e-1 and e-2). There
were also no differences in terms of allele frequency between the groups when divided into those
individuals with abnormal and normal fatigue, depression and anxiety scores (data not shown).
However, there were statistically significant differences in the working memory test of the TAP
battery (table 1). In this test, the APOE- ε4 allele frequency was higher (25.9 %) in those patients
who performed normally on this task compared to patients who performed expressing an
abnormally high number of errors (4.5%, p=0.003).
The results were also analysed for males and females separately. In women, the APOE-ε4 allele
frequency was higher in those with correct responses (25%) compared to those with a high number
of errors (2.8%, p=0.004). A difference was also seen in the men (27.5 % v 12.5%) but this did not
reach statistical significance.
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There were further trends for a beneficial effect of the APOE-ε4 allele in performance in attention
tasks (Intermodal comparison test p=0.01, Incompatibility test p=0.05, Alertness test p=0.008) but
these did not meet our criterion for statistical significance (table 1). Finally, when we analysed the
attention tests sum score, the APOE-ε4 allele frequency was significantly higher in those with
preserved cognitive function compared to those with a high number of pathological scores (24.6 %
v 9.5 %, p=0.008). There were no significant results for the APOE-ε2 and APOE-ε3 alleles.
Memory function was not found to be related to the frequency of any of the APOE alleles (table 2).
Discussion
Patients with neuropsychiatric sequelae of HCV frequently complain of cognitive problems or
“brain fog”.14 A large number of studies have reported objectively measured impairments in
cognitive function, most frequently characterised by deficits in attention and working memory .14-18
The precise aetiology remains to be elucidated but imaging studies, including the use of cerebral
magnetic resonance spectroscopy (MRS) and positron emission tomography (PET), have reported
abnormalities consistent with immune activation within the CNS.14, 17-19 The two main explanations
offered for these findings are 1) the penetration of HCV through the blood brain barrier into the
CNS and 2) a cerebral effect of the peripheral immune response 16, 20-24
In relation to this, our main finding was that in HCV-infected subjects with mild liver disease the
APOE-ε4 allele frequency was significantly lower in those with an abnormal number of errors in the
working memory test, compared to those with a normal result. Other psychometric tests that assess
attention deficit also displayed a tendency to lower APOE-ε4 allele frequency, although the level of
significance did not hold up after Bonferroni correction. This suggests that the APOE-ε4 allele is
protective against attention deficit and especially against poor working memory in HCV-infected
subjects with mild liver disease. Given that impaired working memory is the commonest measured
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impairment in these patients, it follows that the APOE-ε4 allele may in some way be protective
against the effect of HCV infection on the brain.
HCV infection is intimately linked to the metabolism of lipids within infected hepatocytes and
dysregulates the metabolism of circulating lipoproteins as well. HCV uses the very-low density
lipoprotein (VLDL) secretion pathway for the production of infectious particles, known as lipoviral
particles (LVP). There is evidence that in vivo, there is significant exchange of virions between
different lipoproteins. It has been suggested that the association of virions with lipoproteins enables
the virus to bind to lipoprotein receptors that are needed for entering the host cells, as well as to
hide from the host’s immune surveillance.25,26 The protein apoE has been found to be required for
HCV virion infectivity and production. Its level correlates with HCV infectivity.27 ApoE mediates
the binding of the virus to heparin sulphate proteoglycan (HSPG) receptors.28 HSPGs are
structurally heterogeneous and thereby serve as receptors for a multitude of viruses and cell types. It
is hypothesized that apoE-mediated binding of HCV to the HPSG receptor or LDL receptor (LDLr)
facilitates the interaction of the virus with other cell surface receptors for cell entry, such as CD81,
claudin, occludin, and SRBI.29
In one study, the level of apoE was found to correlate strongly with the LVP ratio, i.e. the ratio of
HCV RNA load in the highly infectious LVP to the total HCV RNA load in all plasma fractions.30
This and previous studies31 also show that apoE levels are lowest in those with APOE-ε4 alleles.
Thus, the APOE-ε4 genotype may potentially impair incorporation of HCV into LVP and reduce
the binding of HCV to cell surface receptors. In considering possible HCV infection of the CNS,
Fletcher and colleagues have shown that, in in vitro experiments, endothelial cells of the blood
brain barrier (BBB) express all the receptors necessary for viral entry. Furthermore, in vitro
infection of endothelial cells resulted in apoptosis and conformational change that might lead to a
leaky BBB.20 This raises the possibility that the APOE-ε4 genotype might protect against HCV-
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mediated BBB permeability and viral entry. If HCV penetration into the CNS underlies the
observed cognitive impairment, this might explain the protective effect of APOE-ε4 in our study.
Another possible explanation is an interaction between HCV and lipid metabolism within the brain.
The human apoE protein has its highest expression in the liver and importantly, in the brain. In the
brain it is predominantly expressed by astrocytes and microglia in high-density lipoprotein (HDL)-
like particles. As in the periphery, apoE functions as a ligand in receptor-mediated endocytosis of
lipoprotein particles in the CNS. Experimental data hint at a possible effect of apoE in neuronal
sprouting, synaptogenesis and maintenance of synaptic connections after brain injury. A protective
role of APOE-ε4 in patients with HCV infection is somehow unexpected, in view of the role of
apoE4 in the development of dementia and in severe cognitive dysfunction in patients with HIV
encephalopathy.32,33 However, the difference may be explained by the interactions between HCV
and lipoproteins. It may be assumed that similar to the periphery, the apoE4 isoform hampers HCV
binding to the HPSG and LDL receptors present on the membrane of their target cells in the CNS,
namely astrocytes and microglial cells, and thereby impedes infection of the glial cells. To this end,
several groups have shown evidence for HCV replication within the CNS.21-23 Wilkinson et al.24
provided evidence for HCV replication in microglia and astrocytes in autopsy brain tissue. One
autopsy study on the brain of HIV/HCV infected subjects found the highest density of HCV
infected cells in the frontal white matter and basal ganglia, and a predominance of HCV
immunoreactive microglial cells around blood vessels.23 This finding suggests that the virus, similar
to the human immunodeficiency virus (HIV), enters the brain as a “blind passenger”, using
circulating monocytes, which cross the blood-brain barrier. Within the brain, lipoviral particles
released from these monocytes are probably channelled into the CNS lipoprotein pathways with the
first step being the attachment to microglia and astrocytes via the HPSG and LDL receptors,
followed by the use of the VLDL secretion pathway for the production of infectious particles, as in
the periphery. Owing to the different binding capacities of the apoE isoforms, this process ought to
be less effective in APOE-ε4 allele carriers, and thus virus replication would be reduced and
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microglial function preserved. Microglia maintain a regular net-like pattern within the CNS, with
each of the cells covering a constant area of brain tissue ready to react to any alteration of brain
homeostasis.34 Recently Grover et al.19 showed microglia activation in the caudate nucleus and
thalamus of HCV-infected patients with mild liver disease, using PK11195-PET. PK11195 is a
selective marker of activated microglia in vivo. In accordance with their PET findings, they also
showed an increase of the myoinositol/creatine (mI/Cr) and choline/creatine (Cho/Cr) ratio in the
basal ganglia using MRS. Both brain metabolites are increased in case of glial proliferation and
neuroinflammation. Their findings also confirm a quantitative MRS study that showed an increase
of choline and creatine in the white matter and basal ganglia, and an increase of myo-inositol within
the basal ganglia in HCV patients without significant neuropsychiatric impairment, compared to
neurocognitively impaired HCV patients.18 The data suggest that reduced impairment of microglia
function by HCV in APOE-ε4 allele carriers results in better cognitive function.
Furthermore, several studies indicate that APOE-ε4 predisposes to glial activation and
neuroinflammation.35 It has been shown, that APOE-ε4 allele carriers have decreased expression of
apoC-I which is immunosuppressive, resulting in increased innate immune activity – an attribute
that might be beneficial in the presence of HCV within the brain .36
An alternative hypothesis for the neuropsychological effects of HCV infection is a CNS effect of
chronic systemic immune activation. ApoE levels correlate with blood levels of IP-10, a marker of
interferon-stimulated genes (ISGs) in patients with chronic HCV infection.37 Furthermore, pro-
inflammatory cytokines, such as γ-interferon induce the enzyme indoleamine 2 3-dioxygenase,
resulting in downstream alterations of serotonin and tryptophan metabolites, which may affect
cerebral function. Thus, if the finding of an association between ApoE and ISG induction can be
substantiated, the APOE genotype can be expected to affect this interaction.
In conflict with the above suggestions some data may put a protective role of APOE-ε4 into
question: apoE protein has a direct role in maintaining the integrity of the BBB and APOE-ε4
appears to offer least protection. Nishitsuji et al. showed that the integrity of the BBB in APOE-ε4-
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knock-in mice is poorer than in APOE-ε3-knock-in animals.38 Further conflicting data include the
harmful effect of the ε4 allele in Alzheimer’s disease, and the recent findings that suggest it may
have an adverse effect on working memory, in cognitively normal middle-aged adults.39 In a smaller
study of patients with hepatitis C, low apoE levels were associated with more depression, although
cognitive function was not tested.37 Finally, HCV-infected patients with a ε4 allele were more likely
to be referred to a psychiatrist and had more neuropsychiatric symptoms during antiviral treatment
with interferon than those without an ε4 allele.40 Thus, the complex interactions between APO-E
genotypes, apoE levels, HCV, LVP, cell receptor binding, a potential effect on BBB permeability,
and neuropsychological outcomes requires further research.
Although our findings potentially fit with the current knowledge about the interaction between
HCV and apoE isoforms, some limitations of the study must be taken into account. Owing to the
limited number of patients included in the study, a significant association between the APOE-ε4
genotype and cognitive function in HCV patients could only be proven for working
memory/attention deficit. Probably, further associations would have been detected in a far larger
group of patients. Some of our data hint at a sex effect upon the APOE/HCV interaction. An
interpretation of these data, however, is hampered by the imbalance of the sexes in the study group
and should be addressed in further work.
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Acknowledgements: We thank the following for their excellent technical assistance at different
periods in the study: Ms. Ann Cookson, Miss Alison Frost, Ms. Nicola A. Cook, and Ms. Ruth
Noone.
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Table 1 - APOE allele frequencies of subjects and attention test results
Total
N % N % N %
Whole group 14 7,6 148 75,8 38 16,7 200
Test for Attention Performance (TAP) batteryAttention Switch Test
Median reaction timePathological 6 12,0 37 74,0 7 14,0 50Non-pathological 8 5,6 106 73,6 30 20,8 144p-value
Number of errorsPathological 3 7,1 33 78,6 6 14,3 42Non-pathological 11 7,2 110 72,4 31 20,4 152p-value
Intermodal comparison testMedian reaction time
Pathological 9 9,4 75 78,1 12 12,5 96Non-pathological 4 4,2 68 70,8 24 25,0 96p-value
Number of errorsPathological 5 12,5 30 75,0 5 12,5 40Non-pathological 8 5,3 113 74,3 31 20,4 152p-value
Incompatibility test Median reaction time
Pathological 2 5,3 32 84,2 4 10,5 38Non-pathological 5 5,6 64 71,1 21 23,3 90p-value
Number of errorsPathological 3 13,6 18 81,8 1 4,5 22Non-pathological 4 3,8 78 73,6 24 22,6 106p-value
Go/No Go TestMedian reaction time
Pathological 8 9,3 66 76,7 12 14,0 86Non-pathological 6 5,7 75 70,8 25 23,6 106p-value
Number of errorsPathological 2 12,5 13 81,3 1 6,3 16Non-pathological 12 6,8 128 72,7 36 20,5 176p-value
Divided attention testMedian reaction time
Pathological 12 7,6 117 29,0 29 18,4 158Non-pathological 2 5,6 27 75,0 7 19,4 36p-value
Number of errorsPathological 7 7,6 68 73,9 17 18,5 92Non-pathological 7 6,9 76 74,5 19 18,6 102p-value
Number of missesPathological 6 9,7 47 75,8 9 14,5 62Non-pathological 8 6,1 97 73,5 27 5,3 132p-value
Alertness testMedian reaction time
Pathological 12 8,5 110 77,5 20 14,1 142Non-pathological 2 3,8 34 65,4 16 30,8 52p-value
Working memory testMedian reaction time
Pathological 5 11,9 30 71,4 7 16,7 42Non-pathological 7 6,1 83 72,8 24 21,1 114p-value
Number of errorsPathological 5 11,4 37 84,1 2 4,5 44Non-pathological 7 6,3 76 67,9 29 25,9 112p-value
Number of missesPathological 4 9,1 35 79,5 5 11,4 44Non-pathological 8 7,1 78 69,6 26 23,2 112
. p-value
0.36 0.73 0.32
0.28 0.20 0.003
0.68 0.21 0.10
0.23 0.86 0.51
0.27 0.09 0.008
0.67 0.59 0.88
0.84 0.92 1.0
0.93
0.37
0.15
0.09
0.42 0.46 0.17
0.33 0.35
0.05 0.06
0.12
0.26
0,129 0,96 0,29
1.0 0.42
0.11
APOE- 2 APOE- 3 APOE- 4
0.25 0.03
0.100.95
0.42
Wozniak 21
Table 2 - APOE allele frequencies of subjects and memory test results
Total
N % N % N %
Whole group 14 7,6 148 75,8 38 16,7 200
Word-Figure-Memory testWords
Pathological 0 0,0 14 77,8 4 22,2 18Non-pathological 12 9,2 92 70,8 26 20,0 130p-value
PicturesPathological 3 10,0 19 63,3 8 26,7 30Non-pathological 9 7,6 87 73,7 22 18,6 118p-value
Recurring figures testGeometric
Pathological 1 25,0 3 75,0 0 0,0 4Non-pathological 11 7,6 103 71,5 30 20,8 144p-value
NonsensePathological 1 12,5 6 75,0 1 12,5 8Non-pathological 11 7,9 100 71,4 29 20,7 140p-value
APOE-2 APOE-3 APOE-4
0,18 0,54 0,83
0,67 0,26 0,33
0,21 0,88 0,31
0,63 0,83 0,57