Effects of chronic hepatitis C genotype 1 and 4 on serum activins and follistatin in treatment...
Transcript of Effects of chronic hepatitis C genotype 1 and 4 on serum activins and follistatin in treatment...
ORIGINAL ARTICLE
Effects of chronic hepatitis C genotype 1 and 4 on serum activinsand follistatin in treatment naı̈ve patients and their correlationswith interleukin-6, tumour necrosis factor-a, viral load and liverdamage
Bassem Refaat • Ahmed Mohammed Ashshi •
Adel Galal El-Shemi • Adnan AlZanbagi
Received: 14 February 2014 / Accepted: 10 May 2014
� Springer-Verlag Italia 2014
Abstract The importance of activins and follistatin in
liver diseases has recently emerged. The aim of the present
study was to measure the influence of chronic infection
with viral hepatitis C (CHC) genotype 1 and 4 on serum
levels of activin-A, activin-B and follistatin, and to deter-
mine their correlations with viral load, liver damage,
interleukin-6 (IL-6) and tumour necrosis factor (TNF)-a.
Sera samples collected from 20 male and 20 female
treatment naı̈ve CHC genotype 1 and 4 Saudi patients (ten
males and ten females for each genotype), and 40 gender-
and age-matched healthy participants were analysed for
activin-A, activin-B and follistatin using enzyme-linked
immunosorbent assay and their levels were correlated with
IL-6, TNF-a, viral load and AST platelet ratio index
(APRI). Serum activin-A, activin-B, IL-6 and TNF-a were
significantly increased, while serum follistatin was signif-
icantly decreased, in both genders of CHC patients com-
pared with control subjects, In both viral genotypes,
activin-A was strongly and positively correlated with the
viral load, APRI, IL-6 and TNF-a, and negatively with
albumin (P \ 0.01). Activin-B showed the same correla-
tions of activin-A only in CHC genotype 1 patients, but it
was weaker than activin-A. No correlation was detected
with follistatin. Serum activins, particularly activin-A, and
follistatin are significantly altered by CHC genotype 1 and
4. This dysregulation of activins/follistatin axis may be
associated with viral replication, host immune response and
liver injury. Further studies are needed to illustrate the
definite role(s) and clinical value of activins and follistatin
in CHC.
Keywords Hepatitis C virus � Activin-A � Activin-B �Follistatin � Interleukin-6 � Tumour necrosis factor-a
Introduction
The World Health Organization has estimated that 170
million persons are infected with hepatitis C virus (HCV)
worldwide with an estimated annual incidence of 3–4
million newly acquired infections [1]. The HCV species
have been classified into six major genotypes and each
genotype contains different subtypes [1]. The distribution
of HCV genotypes varies geographically throughout the
world [2], and genotypes 4 and 1 are the most predominant
HCV species in Saudi Arabia [3, 4].
About 70–80 % of HCV infection cases progress to
chronic stage, due to viral escape from the immune system
[5], and those patients are at significant risk of developing
liver fibrosis, cirrhosis and hepatocellular carcinoma [1].
The progression to chronic inflammation and the devel-
opment of liver fibrosis is regulated by several cytokines
including IL-6, TNF-a and transforming growth factor
(TGF)-b [5, 6].
Activins are members of the TGF-b family and they are
homodimers of two b-subunits (bA and bB). The different
dimerization of subunits gives rise to three proteins: acti-
vin-A (bA–bA), activin-B (bB–bB) and activin-AB (bA–
B. Refaat (&) � A. M. Ashshi � A. G. El-Shemi
Laboratory Medicine Department,
Faculty of Applied Medical Sciences, Umm Al-Qura University,
PO Box 7607, Al Abdeyah, Makkah, KSA
e-mail: [email protected]
A. G. El-Shemi
Department of Pharmacology, Faculty of Medicine,
Assiut University, Assiut, Egypt
A. AlZanbagi
Gastroenterology Department, King Abdullah Medical City,
Makkah 21955, KSA
123
Clin Exp Med
DOI 10.1007/s10238-014-0297-2
bB) [7]. The coordinated synthesis of follistatin with ac-
tivins is the main regulator of the bioactivity of the dif-
ferent activin isoforms [7]. Activins and follistatin were
initially recognised as gonadal proteins that regulate the
secretion of follicle-stimulating hormone [7]. Later, they
have been shown to be essential for cell survival and they
are involved in the control of many biological processes by
orchestrating and modulating the developmental pro-
gramme, growth and differentiation profile and functional
homoeostasis of most cell types [8].
Activin subunits and follistatin are secreted by the
hepatocyte, and they play an important role in the regula-
tion of liver regeneration and repair [9, 10]. Moreover,
pathological alterations in the serum concentrations of
activin-A and follistatin have been associated with
numerous acute and chronic liver diseases [11]. However,
little is known about the role of the other isoforms of
activin (e.g. activin-B and activin-AB) in liver pathology
despite the reported results from gene knockout studies,
which have demonstrated that each subunit has distinct
functions in vivo [12, 13].
Activin-A increases in liver fibrosis in rat, and it is
mainly localised around the fibrotic areas [14]. Follistatin is
also altered in tissues during fibrosis, and therefore, a role
for endogenous follistatin in controlling the fibrotic effects
of activin has been suggested [15, 16]. The dysregulation in
activin-A/follistatin axis has also been proposed to con-
tribute and promote the growth of pre-neoplastic hepato-
cytes [11, 17]. Hence, activin-A and follistatin, including
serum activin/follistatin ratio, have been suggested as
markers for the diagnosis/prognosis of a variety of liver
pathologies [18, 19].
Currently, the published studies on activins and chronic
hepatitis C (CHC) are few and the results are not consistent
[20–22]. Additionally, none of the previously published
reports examined the effect of viral genotypes on activins
and follistatin. Therefore, the aim of the present study was
to measure the concentrations of activin-A, activin-B and
follistatin in serum samples collected from treatment naı̈ve
male and female patients diagnosed with CHC genotype 1
and 4, and the results were compared with those obtained
from age-matched healthy individuals. We also investi-
gated the correlation of serum concentrations of the can-
didate molecules with the viral load, liver function
parameters, IL-6 and TNF-a.
Subjects and methods
Ethical approval
The study was approved by the Institutional Review Board
and Ethics Committee of King Abdullah Medical City
(IRB 12-028). All samples were collected following
obtaining informed written consent from all the
participants.
Study design
This trial is a case–control study. Serum samples were
collected from 40 treatment naı̈ve Saudi patients diagnosed
with CHC and for whom polymerase chain reaction fol-
lowing reverse transcription was positive for HCV RNA.
The case group included 20 males and 20 females. The
cases positive for genotype 1 (n = 20) and 4 (n = 20)
according to gender were 10 males and 10 females for each
genotype. The inclusion and exclusion criteria are sum-
marised in Table 1. Serum samples from 20 male and 20
female healthy Saudi blood donors with no current acute or
chronic illness were also collected and served as control
group.
Serum concentrations of activin-A, activin-B and fol-
listatin were analysed as described below and their values
were compared between case and control groups, and the
results were also stratified according to viral genotype and
patient gender. The results of liver function parameters and
viral load at the time of sample collection were performed
as part of the routine laboratory workup.
Calculation of AST/platelet ratio index (APRI)
APRI was calculated using the following equation: (AST/
upper limit of normal)/platelet count (9109/L) 9 100. The
Table 1 Inclusion and exclusion criteria
Principal inclusion criteria Principle exclusion criteria
Patient age C18 B45 years Patient age \18 or [45 years
HCV RNA positive Previous non-responders/relapse
No concurrent infection with
HBV or HIV
Solid organ transplant (renal,
heart, or liver, etc.)
Proven fertility Primary or secondary infertility
Not taking exogenous hormones/
oral contraceptive pills for at
least 3 months prior to
enrolment
Taking exogenous hormones/
oral contraceptive pills
Treatment naı̈ve patients Autoimmune condition (e.g.
type 1 DM and rheumatoid
arthritis)
Compensated liver disease (e.g.
no liver cirrhosis, failure or
cancer) & APRI B1.2
History or current thyroid
disease
Acceptable haematological and
biochemical indices
Uncontrolled type 2 DM and
HTN
No or controlled type 2 diabetes
mellitus and hypertension
Concurrent chronic disease
(Renal failure, coronary heart
disease, etc.)
Clin Exp Med
123
interpretation of the APRI results was performed according
to previously published studies [23, 24]. Briefly, index
B0.5 indicated normal liver with no or minimal fibrosis,
[0.5 and B1.5 indicated progressive fibrotic stages (e.g.
Metavir F1–F4) and [1.5 indicated liver cirrhosis. Only
samples with B1.2 APRI were included into the study to
avoid patients with liver cirrhosis.
Enzyme-linked immunosorbent assay (ELISA)
ELISA was used for quantitative measurement of human
activin-A (R&D systems, Minneapolis, USA), activin-B
(Uscn Life Science Inc., Hubei, China), follistatin (R&D
systems, Minneapolis, USA), IL-6 (R&D systems, Min-
neapolis, USA) and TNF-a (R&D systems, Minneapolis,
USA). All samples were processed in duplicate and
according the manufacturer’s instructions.
Activin(s)/follistatin ratio index
Activin-A/follistatin ratio index (AFRI) and activin-B/fol-
listatin ratio index (BFRI) and activins/follistatin ratio
index (AsFRI) were calculated as follow, respectively:
(activin-A/follistatin 9 100), (activin-B/follistatin 9 100)
and [(activin-A ? activin-B)/follistatin 9 100].
Statistical analysis
Statistical analysis of the results was performed using SPSS
version 16. One-way ANOVA followed by LSD post hoc
test was used to compare between the different groups.
Correlations were determined using Pearson’s test.
P value \ 0.05 was considered significant.
Results
Liver function parameters
There was no significant difference in the mean age
between the control and study groups either according to
patient gender or viral genotype (Table 2). By contrast,
significant differences in serum albumin, ALP, AST, ALT
and APRI were detected between the CHC groups and
control group. Nonetheless, there was no significant dif-
ference (P [ 0.05) either between both genders or between
the viral genotype in these parameters within the CHC
group (Table 2).
Serum concentrations of IL-6 and TNF-a
Serum level of both IL-6 (9.5 ± 3.5 Vs. 3.4 ± 1.2;
P = 0.01 9 10-7) and TNF-a (11.2 ± 1.2 Vs. 5.3 ± 0.9; Ta
ble
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.8±
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,18
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.8±
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.2±
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.4±
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Clin Exp Med
123
P = 0.04 9 10-14) increased significantly in the case
group compared with control. However, there was no sig-
nificant difference in the serum concentrations of both
cytokines either between the viral genotypes or gender
groups (P [ 0.05).
Serum levels of activins and follistatin
Overall, CHC significantly increased serum concentrations
of activin-A (832.07 ± 252.2 Vs. 294.6 ± 71.4;
P = 0.03 9 10-10), activin-B (227.01 ± 86.6 Vs.
143.2 ± 58.02; P = 0.001), AFRI (189.5 ± 61.8 vs.
34.3 ± 11.5; P = 0.01 9 10-8), BFRI (51.7 ± 27.4 Vs.
17.8 ± 9.3; P = 0.0002), AsFRI (243.2 ± 89.4 Vs.
52.1 ± 21.2; P = 0.01 9 10-10) and significantly
decreased follistatin (500.9 ± 203.8 Vs. 923.02 ± 273.5;
P = 0.03 9 10-5) compared with the control.
By further disseminating the results according to viral
genotype and gender of the patients, both viral genotypes
significantly altered the serum concentrations of candidate
molecules compared with control (P \ 0.05). However,
there was no significant difference between genotype 1 and
4 groups (Fig. 1).
Activin-A and follistatin were significantly higher in
male (331.1 ± 65.5 and 1,111.3 ± 267.8, respectively)
compared with female (256.8 ± 70.1 and 734.7 ± 185.9,
respectively) participants in the control group (P \ 0.05).
However, there was no significant difference (P [ 0.05)
between both genders either between viral genotype 1 and
genotype 4 or within each genotype group (Table 3).
Correlation of serum activins and follistatin with pro-
inflammatory cytokines, liver function parameters
and viral load
Generally, a significant positive correlation between serum
activin-A and activin-B (r = 0.674, P = 0.007 9 10-8)
was detected. Both activin-A (r = -0.481, P = 0.000006)
and activin-B (r = -0.445, P = 0.0003) correlated inver-
sely and significantly with serum follistatin.
When only results from the CHC group (n = 40) were
analysed, serum activin-A was still strongly and positively
correlated with activin-B (r = 0.699, P = 0.00001).
However, both activins did not correlate with serum fol-
listatin (P [ 0.05). Additionally, the strongest positive
correlation between activin-A and activin-B was detected
in patients with genotype 1 (r = 0.911, P = 0.01 9
10-12). Nonetheless, there was no correlation between both
proteins in patients with genotype 4 (r = 0.378, P = 0.1).
Moreover, both proteins did not correlate with follistatin in
genotype 1 and genotype 4 patients (P [ 0.05).
By analysing the results of the 80 study participants
(control and CHC groups), activin-A significantly
correlated positively with IL-6 (r = 0.889, P = 0.03 9
10-20), TNF-a (r = 0.806, P = 0.01 9 10-17), viral load
(r = 0.882, P = 0.01 9 10-15), ALP (r = 0.510,
P = 0.00001), ALT (r = 0.338, P = 0.0003), AST
(r = 0.538, P = 0.00002) and APRI (r = 0.838,
P = 0.03 9 10-12), and negatively with albumin (r =
-0.746, P = 0.02 9 10-10). Activin-B, AFRI, BFRI,
AsFRI and follistatin also significantly correlated with
IL-6, TNF-a, viral load, liver enzymes and APRI but to a
lesser extent than activin-A (Table 4).
Furthermore, results from the CHC group (n = 40)
showed that serum activin-A was significantly (P \ 0.05)
and positively correlated with, IL-6, TNF-a, viral load and
APRI, and negatively with albumin (Fig. 2). However,
there was no correlation between activin-A and liver
enzymes (P [ 0.05). Similar results for activin-A with
viral load, liver function parameters and APRI were also
observed when the patients were disseminated according to
viral genotype (Table 5).
Activin-B was only correlated with IL-6 (r = 0.576,
P = 0.001), viral load (r = 0.417, P = 0.007) and APRI
(r = 0.430, P = 0.006) but not with TNF-a, albumin and
liver enzymes in the CHC group. Similar results were also
observed in patients with genotype 1. However, there was a
positive correlation between serum activin-B and TNF-a(r = 0.627, P = 0.003). In genotype 4 group, there was no
correlation for activin-B with serum cytokines viral load,
liver enzymes, albumin and APRI.
There was no significant correlation (P [ 0.05) for
follistatin with IL-6, TNF-a, viral load, liver enzymes,
albumin and APRI either in the CHC group or by strati-
fying the patients according to viral genotype.
Discussion
Significant dysregulation in serum activin-A/follistatin axis
may occur during liver diseases and therefore could be
utilised as diagnostic/prognostic bio-makers for liver injury
[18]. In the present study, the influence of chronic infection
with hepatitis C virus (CHC) of genotype 1 and 4 on serum
levels of activins and follistatin was measured in Saudi
male and female patients. Data showed a significant
increase in serum activin-A and activin-B, and significant
decrease in follistatin in CHC patients of both genotype 1
and 4, which was independent from the gender of the
patient. More interestingly, the serum levels of activin-A
were strongly and directly correlated with those of IL-6,
TNF-a, viral load, as well as with the liver damage asso-
ciated with CHC infection. These results may suggest that
HCV and/or its associated liver damage modulate the
serum concentrations of activins and follistatin. Additionally,
it appears that pathological alteration in serum activin-A, but
Clin Exp Med
123
not activin-B or follistatin, is common with both HCV
genotype 1 and 4 and is associated with the pro-inflam-
matory cytokine expression pattern and degree of liver
damage.
Over the last decade, there were few reports that had
spotlighted the influence of CHC on serum activin-A. The
first study was reported among Australian patients by
Patella et al. [21] and demonstrated a significant increase in
the serum levels of activin-A with non-significant change
in follistatin in archived samples of 47 CHC patients.
Additionally, there was no significant correlation between
these proteins and liver enzymes. Meanwhile, the alliter-
ating effect of CHC on serum activin-A was further
observed among Egyptian CHC patients by El-Sammak
et al. [20], who did not include follistatin, and the authors
have demonstrated a significant positive correlation
between activin-A and the Child-Pugh scores in 30 patients
[20]. By contrast and more recently, Voumvouraki et al.
Fig. 1 Values of (1) serum activin-A, (2) serum activin-B, (3) serum follistatin, (4) AFRI, (5) BFRI and (6) AsFRI among the studied groups
(Data are represented as Mean ± standard deviation; a = P \ 0.05 compared to control)
Clin Exp Med
123
[22] did not detect significant changes in serum activin-A
in 18 Greece patients with CHC [22].
In comparison with these previous reports, the results
of the present study can support the findings of Patella
et al. [21] and El-Sammak et al. [20] and disagree with
Voumvouraki et al. [22] as there was a significant
increase in serum activin-A in CHC genotype 1 and 4.
Nevertheless, we observed a significant decrease in fol-
listatin and significant correlations for activin-A with the
viral load, which disagree with the findings reported by
the Patella et al. [21].
In addition to the controversial outcomes of these pre-
vious studies, neither the possible role of viral genotype nor
the serum levels of other activin isoforms have been
reported. Genotype 1 and 4 are known to be more
aggressive, harder to treat and are associated with more
severe form of the disease compared with genotype 2 and 3
[1]. Hence, the inconsistency between both studies could
be due to differences in the viral genotypes as the most
prevalent genotypes in Australia are genotype 1 (54 %) and
3 (37 %) [25], while in Saudi Arabia genotype 4 (69 %)
and 1 (25 %) are most common [3, 4]. Furthermore, the
discrepancies in the results reported from Greece with the
other two reports and our study regarding activin-A could
be due to either their small sample size (18 patients) or
differences in viral genotype as the most predominant
genotypes in Greece are 1 and 3 (40 % each) [26, 27].
The insertion of other viral genotype (genotype 2 and 3)
in our study would have revealed the true effect(s) of the
different genotypes on serum activins and follistatin.
However, the addition of other genotypes according to the
inclusion and exclusion criteria of the present study
appeared not achievable as the prevalence of genotype 2
and 3 in Saudi Arabia is about 1 % [3, 4]. Therefore, future
studies should include the different genotypes to measure
the definite effect(s) of CHC on serum activins and
follistatin.
CHC induces several mechanisms of liver regenerating
and is a major cause of HCC [1]. Several reports have
indicated that activin-A is an important negative regulator
of liver growth under physiological conditions and it also
contributes to terminate liver regeneration [11]. Addition-
ally, activin-A is involved in the inflammatory and repair
phases and it induces early scar formation [28, 29]. The
expression of activin bA-subunit increases in liver fibrosis
in rat and it is mainly localised around the fibrotic areas
[14]. Moreover, activin-A increases significantly in liver
cirrhosis and HCC due to different aetiological factors,
including CHC [22]. Alternatively, follistatin induces liver
growth and regeneration in normal rat livers [30]. Disrup-
tion of the activin/follistatin axis was linked to viral hep-
atitis B and C replication but did not correlate with
hepatocyte apoptosis [21], and therefore, it has been sug-
gested that increased production of activin-A could lead to
impaired liver regeneration [31].
APRI has recently been proposed as a predictor of liver
fibrosis and cirrhosis in CHC to replace liver biopsy in a
substantial proportion of patients [32]. Several studies have
confirmed the high sensitivity and specificity and significant
correlation of APRI with both the stage of liver fibrosis and
the grade of activity [23, 24]. Data of the present study are
in agreement with the previous observations as demon-
strated by the presence of significant positive correlations
for serum activin-A and activin-B with APRI, and signifi-
cant negative correlation with serum albumin, suggesting
that the observed increase in activins and decrease in fol-
listatin could be due to liver damage induced by CHC.
Nevertheless, the correlations of activin-B with the liver
function parameters, APRI and viral load were weaker
compared with activin-A, and it was inconsistent in the
different genotypes. Therefore, we suggest that serum
activin-A could be a potential serum marker for the diag-
nosis of liver fibrosis/cirrhosis associated with CHC. Fur-
ther studies are compulsory to support our hypothesis.
Table 3 Mean ± standard deviation of activin-A, activin-B, follistatin, AFRI, BFRI and AsFRI in the different study groups
Control male (CM)
(n = 20)
Control female (CF)
(n = 20)
Male G1 (MG1)
(n = 10)
Male G 4 (MG4)
(n = 10)
Female G1 (FG1)
(n = 10)
Female G4 (FG4)
(n = 10)
Activin-A
(pg/mL)
331.1 ± 65.5 256.8 ± 70.1a 898.9 ± 204a,b 797.6 ± 283.7a,b 874.7 ± 304.4a,b 756.9 ± 221.1a,b
Activin-B
(pg/mL)
117.8 ± 55.1 168.6 ± 62.4 244.6 ± 79.1a,b 259.9 ± 95.3a,b 215.2 ± 40.5a 188.2 ± 32.7a
Follistatin
(pg/mL)
1,111.3 ± 267.8 734.7 ± 185.9a 502.7 ± 107.7a,b 462.3 ± 181.4a,b 540.8 ± 214.4a,b 497.9 ± 193.2a,b
AFRI 33.2 ± 15.7 35.4 ± 8.8 149.9 ± 60.4a,b 172.6 ± 56.7a,b 207.1 ± 86a,b,c 228.2 ± 90a,b,c
BFRI 12.6 ± 4.2 22.9 ± 8.6 39.4 ± 16.5a,b 60.4 ± 23.1a,b,c 44.2 ± 19.3a,b,d 61.2 ± 21a,b,c,e
AsFRI 45.8 ± 20.1 58.4 ± 10.5 228.7 ± 10.6a,b 245.2 ± 9.5a,b 241.5 ± 15.2a,b 257.1 ± 13.9a,b
a P \ 0.05 compared to CM, b P \ 0.05 compared to CF; c P \ 0.05 compared to MG1; d P \ 0.05 compared to MG4 and e P \ 0.05 compared
to FG4 groups
Clin Exp Med
123
IL-6 and TNF-a are well-known pro-inflammatory
cytokines that play a significant role in the host immune
response as well as in the prognosis of chronic infection
with HCV [5, 6]. There is compelling evidence that there is
a remarkable increase in the serum level of both cytokines
in patients with CHC and their levels return to normal
following treatment success [33–36]. Our results are in
agreement with these previous findings as both cytokines
were significantly elevated in the CHC group compared
with control. More importantly, the expression pattern of
both cytokines has also been reported to be regulated by
activin-A in several acute and chronic inflammatory dis-
eases [37–39]. Coherently, the observed positive correla-
tions for activin-A with both IL-6 and TNF-a may suggest
that the increased levels of serum activin-A in CHC could
be a part of the host immune response against HCV.
At the present time, there is no strong evidence indi-
cating the direct involvement of activins and/or follistatin
in the immune response to HCV infection. However,
cumulative data have shown that activin-A and follistatin
are regulatory elements of both innate and humoral
immune responses [40, 41], and both proteins have been
described in immune response to several pathogens
including viruses [42]. Activin-A and follistatin are also
important regulators of regulatory T cells [43], natural
killer cells [44] and dendritic cells [45], which are known
to play an important role in controlling CHC infection [5].
Furthermore, activin-A has been shown to promote the
production of Th2 cytokines, which inhibit Th1 cytokine-
mediated response and promote the development of
humoral response and the subsequent development of liver
fibrosis [5, 46, 47]. Hence, we suggest that activin-A could
have a role in the regulation of the host immune response
against HCV. However, additional studies are needed to
explore the role(s) of activins and follistatin in the immune
response to HCV.
In the current study, we measured the effect of CHC on
serum concentrations of activin-A and activin-B as results
from gene knockout studies have shown that activin bA-
and bB-subunits have distinct functions, and these subunits
do not functionally overlap in all settings in vivo [12, 13].
Our results suggest that activin-A plays a more important
role in the pathophysiology of CHC genotype 1 and 4,
while activin-B is only involved with genotype 1. How-
ever, more studies are compulsory on the role of activin-B
in CHC as the development of specific ELISA kits for
activin-B was not available until recently [48].
Although follistatin is regarded as the activin-binding
protein or an activin antagonist that regulates the majority
of activins’ physiological and pathological actions [7], it
appears that the production of follistatin is not only driven
by activin during inflammation [49, 50]. The synthesis and
secretion of follistatin are also modulated by otherTa
ble
4C
orr
elat
ion
anal
ysi
su
sin
gP
ears
on
’ste
stin
all
stu
dy
par
tici
pan
ts(n
=8
0)
for
acti
vin
-A,
acti
vin
-B,
foll
ista
tin
,A
FR
I,B
FR
Ian
dA
sFR
Iw
ith
IL-6
,T
NF
-a,
vir
allo
ad,
alb
um
in,
liv
er
enzy
mes
and
AP
RI
IL-6
TN
F-a
Vir
allo
adA
lbu
min
AL
PA
LT
AS
TA
PR
I
Act
ivin
-AR
Val
ue
0.8
89
*0
.80
6*
0.8
82
*-
0.7
46
*0
.46
2*
0.3
88
*0
.53
8*
0.8
38
*
PV
alu
e0
.03
91
0-
20
0.0
19
10
-17
0.0
19
10
-15
0.0
29
10
-10
0.0
00
01
0.0
00
30
.00
00
20
.03
91
0-
12
Act
ivin
-BR
Val
ue
0.5
68
*0
.48
5*
0.5
10
*-
0.2
54
*0
.28
6*
0.1
13
0.2
74
*0
.56
5*
PV
alu
e0
.03
91
0-
50
.00
05
0.0
00
01
0.0
20
.01
0.3
0.0
10
.04
91
0-
6
Fo
llis
tati
nR
Val
ue
-0
.42
5*
-0
.60
8-
0.5
55
0.3
62
*-
0.1
22
-0
.20
1-
0.2
04
-0
.36
6*
PV
alu
e0
.00
08
0.0
29
10
-7
0.0
09
91
0-
60
.00
10
.20
.07
0.0
60
.00
1
AF
RI
RV
alu
e0
.69
0*
0.7
62
*0
.76
2*
-0
.62
1*
0.2
75
*0
.23
3*
0.3
32
*0
.54
2*
PV
alu
e0
.01
91
0-
13
0.0
29
10
-15
0.0
29
10
-14
0.0
07
91
0-
80
.01
0.0
30
.00
30
.00
00
02
BF
RI
RV
alu
e0
.46
0*
0.6
03
*0
.55
0*
-0
.31
4*
0.1
99
0.1
11
0.2
18
0.3
46
*
PV
alu
e0
.00
10
.03
91
0-
50
.00
00
01
0.0
05
0.0
70
.30
.05
20
.00
2
AsF
RI
RV
alu
e0
.74
4*
0.7
59
*0
.75
1*
-0
.57
9*
0.2
61
*0
.21
60
.33
3*
0.5
17
*
PV
alu
e0
.02
91
0-
15
0.0
39
10
-12
0.0
19
10
-10
0.0
00
00
10
.01
0.0
54
0.0
03
0.0
00
00
08
Clin Exp Med
123
cytokines, including IL-1b, TNF-a and IFN-c [51, 52]. Our
results agree with these findings as they have shown a
significant decrease in serum concentrations of follistatin
associated with a significant increase in serum activins.
However, there was no significant correlation between the
serum levels of activins and follistatin in the CHC group,
suggesting that each of these proteins have a distinct role
during CHC and that the activities of activins are regulated
by other mechanisms [53], besides follistatin, during
chronic infection with HCV.
In conclusion, serum concentrations of activin-A, acti-
vin-B and follistatin are modulated by CHC. However, it
appears that pathological alterations in serum activin-A are
genotype and gender independent and that activin-A
plays a more important role in the immune response and
pathophysiology of CHC. Additionally, the significant
1
R = 0.836 P = 0.01 X 10-9
2
R = 0.593 P = 0.0005
3
R = 0.745 P = 0.03 X 10-6
4
R = 0.734 P = 0.006 X 10-4
5
R = -0.586 P = 0.0007
6
R = 0.007 P = 0.9
Fig. 2 Correlation of serum activin-A in CHC group (n = 40) with (1) IL-6, (2) TNF-a, (3) viral load, (4) APRI, (5) albumin and (6) ALT by
Pearson’s correlation test
Clin Exp Med
123
correlations of serum activin-A with the viral load and
APRI suggest that it could represent a potential serum
marker for the diagnosis/prognosis of liver damage asso-
ciated with CHC genotype 1 and 4. Further studies are
needed to explore the possible diagnostic/prognostic value
of these proteins in CHC disease.
Acknowledgments The authors thank KACST for the financial
support of the study (12-MED2302-10) under the National Science,
Technology and Innovation Plan. The study was funded by a Grant
(12-MED2302-10) under the National Science, Technology and
Innovation Plan from King Abdul Aziz City for Sciences and Tech-
nology (KACST), Riyadh, KSA.
Conflict of interest None.
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P Value 0.01 9 10-9 0.0005 0.03 9 10-6 0.0007 0.08 0.9 0.06 0.006 9 10-4
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