Parham Jazireian1,2, Raha Favaedi2, Mohammad Ali Sadighi Gilani3,4, Maryam Shahhoseini1,5,6. 1. Reproductive Epidemiology Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran. 2. Department of Genetics, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran. 3. Department of Andrology, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran. 4. Department of Urology, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran. 5. Department of Genetics, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran. Email: m.shahhoseini@royaninstitute.org. 6. Department of Cell and Molecular Biology, School of Biology, College of Science, University of Tehran, Tehran, Iran.
About 15% of couples struggle with infertility and
are unable to conceive and male factor is the reason
for infertility in half of the cases (1, 2). Genetic factors
have an important part in causing male infertility by
affecting various physiological processes, specifically
spermatogenesis (3, 4). Spermatogenesis is the
differentiation process in which diploid spermatogonia,
successively undergo mitotic, meiotic and post-meiotic
stages, eventually differentiating into haploid mature
spermatozoa (5).Chromatin re-organization and condensation associated with the maturation of the paternal
genome is a unique process, required for the generation of healthy functional male germ
cells (6). During this process, core histones are hyperacetylated and replaced by germ cells
specific proteins including transition proteins (TNP1 and TNP2) and protamines (PRM1 and
PRM2) (5, 7, 8). The latter remain tightly associated with a highly condensed paternal
genome within the mature spermatozoa (9, 10). Inadequate expression of these nucleoproteins
can obstruct process of nuclear compaction which can ultimately lead to impaired
spermatogenesis (11, 12). It was demonstrated that disruption of both TNP1
and TNP2 in mice led to abnormalities in sperm morphology and
spermiogenesis, whereas, either PRM1 knockout or PRM2
knockout can cause male infertility (13, 14). cAMP responsive element modulator (CREM) and
its cofactor activator of CREM in the testis (ACT) are transcription factors which bind to
the cAMP response element (CRE) regions of PRM1, PRM2, TNP1 and
TNP2 and increase the expression of aforementioned genes (15, 16).CCREM protein is a member of basic domain-leucine zipper family which functions as
transcription factor and binds to a palindromic sequence named CRE and initiates the
transcription of its downstream genes: TNP1, TNP2, PRM1, PRM2 (16). ACT
protein is a member of Lim-only family with two zinc finger domains which binds to CREM and
strengthens its function in transcribing their target genes (17). How CREM and ACT activate
gene transcription can be different based on the type of the cell, in somatic cells, CREM
gets phosphorylated at the Ser-117 residue and only then it binds to a CRE and triggers gene
transcription whereas in the haploid cells of the testis, CREM no longer needs to be
phosphorylated in order to function after binding to ACT which binds with high affinity to
CREM protein (18, 19).Studies have shown that CREM and its cofactor, ACT, have important impact on male
infertility (17, 20). A study demonstrated that mice which lacked CREM gene
had lower sperm concentration, abnormal sperm morphology and most importantly they were
infertile. Another study showed that mice lacking ACT gene had
significantly decreased sperm concentration and also they had folded or bent sperm tail,
interestingly, they were still fertile (21, 22). These finding along with the fact that the
expression of these two proteins are in line with each other , simply indicates the
importance of ACT and CREM to male fertility (20).The current study is aimed to consider the expression levels of CREM and
of its cofactor ACT and of their target genes, encoding
TNPs and PRMs, in testis tissues of infertile men in
order to gain more insight into the molecular characterization of the defects observed in
infertile patients with post-meiotic arrests.
Materials and Methods
Subjects
In this case-control study, 40 testicular biopsy
specimens were collected from infertile male patients
who were referred to Royan Institute. The samples
were categorized as follows: obstructive azoospermia
(OA, positive control), round spermatid maturation
arrest (SMA), and Sertoli cell-only syndrome (SCOS,
negative control group). The clinical features of the
groups including patients’ karyotype, age, luteinizing
hormone (LH), follicle-stimulating hormone (FSH),
and testosterone hormone are monitored in the study.
In order to obtain sperm for intracytoplasmic sperm
injection (ICSI), SMA samples were obtained from
TESE operation and OA samples and SMA samples
were retrieved from testes with microTESE. The
current research was approved by the Reproductive
Biomedicine Research Center and Ethics Committee
of Royan Institute (EC/91/1046) and written informed
consent was obtained from all patients which allowed
us to use their tissue samples.
DNA synthesis and Real-time quantitative polymerase
chain reaction
RNA extraction from tissue samples was carried out with TRIzol Reagent (Invitrogen,
Carlsbad, CA, USA). Samples were treated with DNase-I so that DNA contamination was
removed, complementary DNA strand was synthesized using the RevertAid™ H Minus First
Strand cDNA Synthesis Kit (Fermentas, St. Leon-Rot, Germany) according to the
manufacturer’s protocol. All samples were normalized with the expression of
GAPDH gene.The cDNA samples were quantified with quantitative
reverse transcription polymerase chain reaction (qRT-PCR) using SYBR Green PCR master mix (Applied
Biosystems) on a Step One Plus Real-Time PCR System
(Applied Biosystem) and with designed primers which
are shown in Table 1 in three groups: OA (n=10), SMA
(n=20), SCOS (n=10).The qPCR reaction for ACT and CREM genes were carried
out with the following profile: 20 µL volume, containing 2 µl of template cDNA (12.5
ng/μL), 1 µl of each 5 pmol/μl primer (Sinaclone, Iran), 10 µl of SYBR Green PCR master
mix and 6 µl dH2 O and followed by initial denaturation at 95°C for 4 minutes,
followed by 40 cycles of denaturation at 95°C for 10 seconds, annealing at 60°C for 1
minute.Two replicates were carried out for each sample and gene and also the relative gene
expression level was assessed by using 2-ΔΔCt quantitative method (23), in
which the parameter threshold cycle (Ct), demonstrates the fractional cycle number where
the fluorescent signal reaches detection threshold. The results were normalized to an
endogenous control (GAPDH). For normalizing each target gene sample, the
relative abundance value obtained is divided by the value derived from the endogenous
control.
Chromatin immunoprecipitation (ChIP)-qPCR
ChIP-qPCR was carried out using anti-CREM (ab54625,
Abcam) and anti-ACT (ab97396, Abcam) antibodies and
with the low cell number ChIPkit (Diagenode, Belgium)
according to its presented instruction. Input control DNA
and immunoprecipitated DNA and were measured by
qPCR on a Step One Plus Real-Time PCR System (AB
Applied Biosystems, USA) using SYBR Green master
mix and designed primers (Table 1) in three groups: OA
(n=10), SMA (n=10), SCOS (n=10). qPCR profile was
as follows: initial denaturation at 95°C for 4 minutes,
followed by 40 cycles of denaturation at 95°C for 10
seconds, annealing at 60°C for 1 minute. The obtained
results were normalized to input DNA and presented
as percentage of input DNA.
Table 1
Primers designed for this study
Gene
Primer sequence (5´-3´)
Product size (bp)
Annealing temperature (°C)
qPCR primers
ACT
F: CCATTAGTGGTCTCACAGGT
178
60
R: GTCTCCTAGATGTCAGTGTCC
CREM
F: ATGACAAATTCAGGAGCTCCTC
90
60
R: TGGGACAAAGAACTGCTGTG
PRM1
F: AATAGCACATCCACCAAACTC
134
60
R: CAACATTTATTGACAGGCGG
PRM2
F: GCTGGAAGTTAAGAGAAAGTCAC
80
60
R: GGCTTGAGCATTTGATGTAGG
TNP1
F: GACCTGATGTTAGATCAAAGCC
75
60
R: ATTCCTCATTTCGTCACAACTG
TNP2
F: GGAAATCCAACTAATGAGACCG
127
60
R: TAGTGTTGCGTAGAAATCACCA
GAPDH
F: CTCATTTCCTGGTATGACAACGA
121
60
R: CTTCCTCTTGTGCTCTTGCT
ChIP-qPCR primers
PRM1
F: GGAGGAGTCATCTTGTATCG
147
60
R: TCATTGTGAGGGCAAAGG
PRM2
F: CTTCCAAATGACAATGTGCG
128
60
R: TTGCCTTGCCTGTAAAGC
TNP1
F: GTCTCTTGTACTCATCCAATGCC
187
60
R: TACTGTGCTGTCACTCACCT
TNP2
F: TTCTTCTAATGTCCGAATGAGG
76
60
R: CTGAACAAGTCCCAGTTTCC
Primers designed for this studyClinical features of patients groupValues are mean ± SEM. NS; Not statistically significant, Kruskal-wallis test, LH; Luteinizing hormone, FSH; Follicle-stimulating hormone, OA; Obstructive
azoospermia, SMA; Round spermatid maturation arrest, SCOS; Sertoli cell-only syndrome, and ***; P≤0.001.
Statistical analysis
Statistical comparisons between the three groups were
performed using Kruskal-Wallis and Spearman’s rank
correlation was used to determine the possibility of
correlation. Differences between groups were considered to
be statistically significant at P≤0.05. All statistical analyses
were performed by GraphPad Prism (version 8.0.2 for
Windows, GraphPad Software, La Jolla California, USA).
Results
SCOS group had the highest serum FSH concentration
among all groups
The results demonstrate that the differences in age,
LH and testosterone levels among the three groups of
OA, SMA and SCOS were non-significant. However, the
difference regarding FSH concentration among foregoing groups was significant (P=0.001, Table 2). Moreover, SCOS
group had the highest concentrations of FSH in comparison
to OA and SMA (P≤0.005) and there was no significant
difference in the FSH concentration between SMA and OA
group.
Table 2
Clinical features of patients group
Patient groups
No. of patients
Genetic analysis
Age (Y)
LH (mIU/ml)
FSH (mIU/ml)
Testosterone (ng/ml)
OA
10
46XY/ normal AZF
35.3 ± 2.4
7.7 ± 1.2
8.9 ± 1.3
3.4 ± 0.5
SMA
20
46XY/ normal AZF
31.1 ± 1.4
7.7 ± 1.1
10.3 ± 1.3
4.9 ± 0.4
SCOS
10
46XY/ normal AZF
34.9 ± 1.9
8.8 ± 1.6
20.4 ± 2.3
3.7 ± 0.2
P value
-
-
NS
NS
0.001***
NS
Values are mean ± SEM. NS; Not statistically significant, Kruskal-wallis test, LH; Luteinizing hormone, FSH; Follicle-stimulating hormone, OA; Obstructive
azoospermia, SMA; Round spermatid maturation arrest, SCOS; Sertoli cell-only syndrome, and ***; P≤0.001.
ACT and CREM expressions are downregulated in SMA
group
ACT, CREM and its target genes (TNP1, TNP2, PRM1 and
PRM2) expressions were evaluated by qPCR analysis in the three groups.
Quantification of mRNA relative expression showed significant lower expression of
ACT in SMA group in comparison to positive control group (P≤0.05,
Fig .1). CREM expression level also significantly lowered compared to OA
group (P≤0.002, Fig .1). Significant decrease in expression levels of TNP1, TNP2,
PRM1 and PRM2 in testis tissues of round SMA and SCOS groups
were observed in comparison to positive control group (Fig .2). The significance was
calculated at (P≤0.05).
Fig.1
Relative mRNA expression of the ACT and CREM genes normalized
to GAPDH in testicular samples with OA (n=10), SMA (n=20) and SCOS
(n=10). OA; Obstructive azoospermia, SMA; Round spermatid maturation arrest, SCOS;
Sertoli cell-only syndrome, ***; P≤0.001, **; P≤0.002, and *; P≤0.05.
Fig.2
Relative mRNA expression of the TNP1, TNP2, PRM1 and PRM2 genes
normalized to GAPDH in testicular samples with OA (n=10), SMA (n=20)
and SCOS (n=10). OA; Obstructive azoospermia, SMA; Round spermatid maturation arrest,
SCOS; Sertoli cell-only syndrome, ***; P≤0.001, and **; P≤0.002.
Relative mRNA expression of the ACT and CREM genes normalized
to GAPDH in testicular samples with OA (n=10), SMA (n=20) and SCOS
(n=10). OA; Obstructive azoospermia, SMA; Round spermatid maturation arrest, SCOS;
Sertoli cell-only syndrome, ***; P≤0.001, **; P≤0.002, and *; P≤0.05.Relative mRNA expression of the TNP1, TNP2, PRM1 and PRM2 genes
normalized to GAPDH in testicular samples with OA (n=10), SMA (n=20)
and SCOS (n=10). OA; Obstructive azoospermia, SMA; Round spermatid maturation arrest,
SCOS; Sertoli cell-only syndrome, ***; P≤0.001, and **; P≤0.002.
TNP1 expression is positively correlated with
PRMs expressions in both SMA group and OA group
The obtained results from Spearman’s correlation coefficient test from SMA group
revealed positive correlations between TNP1 and PRM1 and
between TNP1 and PRM2 (P≤0.05, two-tailed).
Furthermore, PRM1 and PRM2 were positively correlated
(P≤0.05, two-tailed). However, no correlation was observed between TNP2
and PRMs genes. In OA group, we only observed positive correlation
between TNP1 expression level and PRMs expression levels
(P≤0.05, two-tailed). The results are presented in Tables S1 and S2 (See Supplementary
Online Information at www.celljournal.org).
ACT and CREM proteins are associated with promoter regions of TNP
genes
Total protein levels of ACT and CREM into regulatory regions of PRM1, PRM2,
TNP1 and TNP2 genes in the testis tissue sections were
assessed by ChIP real-time PCR. The quantitative data revealed a significant decrease in
detection of CREM and ACT transcription factors into regulatory regions of PRM1,
PRM2, TNP1 and TNP2 in testis tissues of SMA and SCOS groups
in comparison to positive control group (Figes.3, 4). The significance was calculated at
P≤0.05.
Fig.3
Incorporation of CREM protein on the promoter regions of TNP1, TNP2, PRM1 and
PRM2 genes in patients with OA (n=10), SMA (n=10) and SCOS (n=10).
OA; Obstructive azoospermia, SMA; Round spermatid maturation arrest, SCOS; Sertoli
cell-only syndrome, and *; P≤ 0.05.
Fig.4
Incorporation of ACT protein on the promoter regions of TNP1, TNP2,
PRM1 and PRM2 genes in patients with OA (n=10), SMA
(n=10) and SCOS (n=10). OA; Obstructive azoospermia, SMA; Round spermatid maturation
arrest, SCOS; Sertoli cell-only syndrome, ***; P≤0.001, and **; P≤0.002.
Incorporation of CREM protein on the promoter regions of TNP1, TNP2, PRM1 and
PRM2 genes in patients with OA (n=10), SMA (n=10) and SCOS (n=10).
OA; Obstructive azoospermia, SMA; Round spermatid maturation arrest, SCOS; Sertoli
cell-only syndrome, and *; P≤ 0.05.
The correlations between incorporations of ACT/ CREM and the expressions of
PRMs/TNPs genes
CREM and ACT incorporations on PRM1 were found to be negatively
correlated with PRM1 expression in SMA group (P≤0.05, two-tailed).
Moreover, ACT incorporation on TNP2 was found to be positively correlated
with TNP2 expression (P≤0.05, two-tailed). Other correlations between
ACT/CREM incorporations and their target genes’ expressions were non-significant. For OA
group, we only observed negative correlation between ACT incorporation on
TNP2 and TNP2 expression (P≤0.05, two-tailed). All
results are presented in Tables S3 and S4 (See Supplementary Online Information at www.
celljournal.org).Incorporation of ACT protein on the promoter regions of TNP1, TNP2,
PRM1 and PRM2 genes in patients with OA (n=10), SMA
(n=10) and SCOS (n=10). OA; Obstructive azoospermia, SMA; Round spermatid maturation
arrest, SCOS; Sertoli cell-only syndrome, ***; P≤0.001, and **; P≤0.002.
Discussion
Both environmental factors and genetic factors can
attribute to male infertility which this fact simply indicates
that this condition is perplexing and multifactorial,
and thousands of genes are known to be involved in
male infertility (24). Therefore, delving into molecular
characterization of male infertility can help better
understand this medical condition and can also contribute
to its treatment.In the present research, we investigated the expression
and chromatin incorporation of ACT and CREM
together with the expression of their target genes in
the testis of infertile men with SMA. SMA group was
compared with both patients classified in OA group
and SCOS group. OA group was considered as a
positive control group because OA patients undergo
normal spermatogenesis, but their reproductive tracks
are blocked and SCOS group were assigned as negative
control group due to lack of germ cells in this group (5,
25). Our data demonstrate that there is low expression
of ACT and CREM in infertilities associated with
post-meiotic arrest.Our findings are consistent with previous studies which have demonstrated that male mice
which lack the functional form of CREM gene in its genome, are infertile
with arrested spermatogenesis at the round spermatid stage (26, 27). ACT regulates CREM
expression level in male germ cells and it is also required for spermatid maturation (22,
28). A study showed that male mice which lack ACT expression are still
fertile but show significantly decreased numbers of mature sperms and severe abnormalities
of the remaining cells (22).CREM and its cofactor ACT cooperate to initiate the expression of several important
post-meiotic genes including the expression of TNP1, TNP2, PRM1, PRM2 which
are necessary for chromatin compaction through spermatogenesis (15-17). It has been
demonstrated that transgenic mice carrying null mutations for TNP1 and
TNP2 are infertile associated with decreased chromatin compaction,
motility, viability and a high proportion of morphology abnormalities of sperm cells (11).
Another study demonstrated that null mutation for PRM1 and PRM2
genes in mice, interrupts nuclear formation and the normal function of the sperm
ultimately leading to infertility (29).We observed low incorporations of ACT and CREM on their target genes and low expressions of
TNPs and PRMs. Since post-meiotic cells are absent or
less abundant in the samples with SMA samples and these cells normally express these genes,
therefore, it is expected that we observe a decrease in incorporation of ACT and CREM and
decreased levels of expression of their target genes compared to samples which have all
spermatogenesis cell stages including post-meiotic cells.TNP1 is located on chromosome 2 and it has a vital role in decreasing the
melting temperature of DNA and relaxing its nucleosome core particles which are essential
for histones eviction. On the other hand, TNP2 and the
PRMs are in a cluster on chromosome 16 and they are mainly responsible
for DNA compaction (30). We carried out correlation analyses between TNPs
and PRMs gene expressions in SMA group and we observed that
TNP1 expression is positively correlated with both PRMs
genes. This finding is somewhat surprising since these genes are not neighboring
genes, but it suggests that are co-regulated. We also found that PRM1 was
positively correlated with PRM2. Same correlation patterns were observed
for OA group except that PRM1 was not correlated with
PRM2.We also ran correlation analyses between the incorporation of ACT/CREM and the expression
of the PRMs/TNPs genes in both OA group and SMA group. In OA group we only
observed negative correlation between the incorporation of ACT on TNP1 and
TNP1 expression. Moreover, we found out that incorporations of ACT and
CREM on PRM1 regulatory region are negatively correlated with
PRM1 expression in SMA group which might suggest that ACT and CREM
incorporations are increased in order to compensate for the reduced expression of
PRM1 in SMA group.
Conclusion
This work confirms that ACT and CREM have key roles
in spermatid maturation and decrease in their expression
levels might be associated with spermatogenesis failure
at the stage of post-meiotic cells (SMA group). However,
further investigation on larger sample size is required to
justify these findings.
Authors: Greg L Christensen; Stephen P Wooding; Ivaylo P Ivanov; John F Atkins; Douglas T Carrell Journal: Mol Hum Reprod Date: 2006-04 Impact factor: 4.025
Authors: F Nantel; L Monaco; N S Foulkes; D Masquilier; M LeMeur; K Henriksén; A Dierich; M Parvinen; P Sassone-Corsi Journal: Nature Date: 1996-03-14 Impact factor: 49.962