DIFFERENTIAL EXPRESSION OF MICRORNA IN GENERALIZED ANXIETY DISORDER AND ITS ASSOCIATION WITH SOCIAL SUPPORTLingming Kong 1 1 Prevention and Treatment Center for Psychological Diseases, No. 904 Hospital of Chinese PLA, Changzhou 213003, Jiangsu, China2 Department of Rehabilitation, No.904 Hospital of
Chinese PLA, Changzhou, Jiangsu 213003, China
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Received 1 September2021 Accepted 15 September2021 Published 30 September2021 Corresponding Author Liyi
Zhang, zlhlb123@sohu.com DOI 10.29121/granthaalayah.v9.i9.2021.4265 Funding:
This
research received no specific grant from any funding agency in the public,
commercial, or not-for-profit sectors. Copyright:
© 2021
The Author(s). This is an open access article distributed under the terms of
the Creative Commons Attribution License, which permits unrestricted use, distribution,
and reproduction in any medium, provided the original author and source are
credited. |
ABSTRACT |
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To
explore the differential expression of microRNA (miRNA, miR-) and its
correlation with social support and personality in Generalized Anxiety Disorder
(GAD) patients. A total of 80 GAD patients and 80 control participants were
selected from our serial study samples to be tested for microarray analysis,
and real time quantitative Polymerase Chain Reaction (qRT-PCR) verification
was carried out in both patient group and control group. Correlation between
miRNA expression and social support were also carried out. According to
microarray analysis, 6 miRNAs were differentially expressed between patient
group and control group, with miR-4505, miR-4484, miR-4674, miR-501-3p and
miR-663 up-regulated, and miR-1301 down-regulated; qPCR verification revealed
that 5 miRNAs (miR-1301, miR-4484, miR-4674,
miR-501-3p, miR-663, miR-4505) were significantly up-regulated and the
expression of miRNA-1301 down-regulated; the expression of miRNA-1301 was
significantly related to social support in GAD patients. In conclusions,
comprehensive factors, including miRNA regulation, social support may be
involved into the aetiology of GAD. |
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Keywords: GAD;
MicroRNA; Social Support; Personality 1. INTRODUCTION Anxiety disorders are generally considered
as a heterogeneous group of disorders that include acute stress disorder,
agoraphobia, generalized anxiety disorder (GAD), obsessive-compulsive
disorder (OCD), panic disorder (PD), phobias and posttraumatic stress
disorder (PTSD). Domschke et al. (2021) and Baxter et al. (2013) found that
anxiety disorders are the most prevalent mental disorders and a leading cause
of disability, it was estimated the global prevalence of current anxiety
disorders has been estimated at 7.3 % (4.8–10.9 %) and ranges from 5.3 %
(3.5–8.1 %) in African cultures to 10.4 % (7.0–15.5 %) in Euro/Anglo
cultures. Anxiety is thought to be a normal reaction to stress, It may help
to deal with difficult situations by prompting one to cope with it. But when
anxiety becomes excessive, it may fall under the classification of an anxiety
disorder. Numerous factors play a role in the aetiology of anxiety disorders,
such as cognitive and physiological factors, genetic heterogeneity as well as
epigenetic or regulatory changes. Several animal and human studies have
investigated the role of molecular mechanisms in anxiety disorders. Strell-Zimonyi et al.
(2020) argued that the
aetiology of GAD, PD, phobias and PTSD point to a complex interplay of
genetics and the environment. But the molecular and cellular mechanism of
anxiety disorders remain poorly understood. |
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Ebrahimi et al. (2020) reported that miRNAs are a large class of small noncoding RNAs of about 19–25 nucleotides in length in their mature form that act as posttranscriptional regulators of gene expression by either mRNA degradation or translational repression. The role that miRNAs play in synaptic plasticity and neuronal differentiation suggests that miRNAs may be involved in the aetiology of numerous psychiatric disorders. Segaran et al. (2021) argued that various miRNA expression studies have been conducted in Alzheimer's Disease, Depression, Schizophrenia. To date, there have been few studies of miRNAs in anxiety disorders and its association with social support and personality.
Ren et al. (2020) reported previous studies have shown that satisfaction with social support can have a direct effect on well-being and serve as a buffer between the negative health consequences of a stressor and mental health consequence. Tirone et al. (2021) obtained that 174 (73%) bereaved siblings (12-25 years) participated in a nationwide, long-term follow-up study in Sweden using an anonymous study-specific questionnaire, They conclude that bereaved siblings had a greater probability to report self-assessed anxiety if they perceived that their need for social support was not satisfied prior to and following death. Eilertse et al. (2013) found that information from both nurses and other health care professionals to families about the impact of social support may contribute to lessen the siblings’ risk of anxiety.
Based upon all these studies, we are wondering if there is any relationship between miRAN expression and social support in GAD patients, in a further effort to shed new light on the aetiology of GAD.
2. MATERIALS AND METHODS
Participants
Between Aug. 2018
and Jun. 2020, 80 GAD patients fulfilling the criteria as defined by the
Diagnostic and Statistical Manual 5th edition (DSM-Ⅴ) were prospectively recruited from No.904
Hospital of the Chinese PLA. Clinical diagnoses of the patients were made by at
least two consultant psychiatrists, and the diagnoses were further confirmed by
an additional experienced clinical psychiatrist. All patients were first
visitors to the clinics and prior to any clinical treatment for GAD, or in the
absence of anxiolytics medication within at least three months. No patient had
history of severe medical diseases, other psychiatric disorders, structural
brain disorders, mental retardation, unstable psychiatric features and movement
disorders. Also, patients who had brain injury causing traumatic amnesia longer
than 24 hours and who received blood transfusion within a month or
electroconvulsive therapy within 6 months, were excluded from the study.
In addition, 80
healthy controls without any family history of major psychiatric disorders
within the last three generations were recruited. Similarly, all healthy
controls were without any history of blood transfusion or severe traumatic
event within a month. Patients and healthy controls were matched in gender, age
and ethnicity. All individuals recruited in the study were provided with
written informed consent. The study was approved by local Institutional Review
Boards.
Measuring instruments
Social Support
Scale (SSS) had 20 items, covering 3 dimensions, namely subjective support,
objective support and utility of social support. The Cronbach’s α
coefficient was 0.874. Higher scores indicate less social support.
MiRNA microarray expression profiling
Total RNAs from
three GAD patients and three controls were used for miRNA microarray profiling.
MiRNA expression was measured by Affymetrix miRNA 3.0 array (Affymetrix, Santa
Clara, CA, USA) containing probes for a total of 723 human miRNAs. The sample
labeling, microarray hybridization and washing were performed based on the manufacturer’s
standard protocols. The scanned images were analyzed using Expression Console
software (version1.3.1, Affymetrix). Screening was carried out based on the
criteria: Fold change value≥2.0 and P valus≤0.05 for those miRNAs
with biological duplication, and on the criteria: Fold change value≥ 2.0
for those miRNAs without biological duplication.
Real-time quantitative reverse-transcription
PCR (qRT-PCR)
Total RNAs were
extracted from the purified plasma using Trizol reagent (Invitrogen®, USA) for
quantitative detection of miRNA. Complementary DNA was synthesized using the
Reverse Transcription TaqMan MicroRNA Reverse Transcription Kit and
miRNA-specific stemloop primers (Applied Biosystems, inc., USA, P/N: 4366596)
according to the manufacturer’s instructions. The 5 × RT primers
(miRNA-specific stem-loop primers) and 20 × miRNA-specific PCR primer/probe mix
were supplied by the TaqMan MicroRNA Assays (Applied Biosystems, Inc.) based on
the miRNA sequences obtained from the miRBase database. After normalized to
RNU48, the expression levels of miRNAs were calculated using the 2-ΔΔCt
method.
Statistical analysis
Wilcoxon rank
sum test was used to compare the expression levels of miRNA between SZ and
healthy controls. Spearman correlation test was carried out for testing the
correlation of miRNA expression levels with social support score and PDQ score.
All data were processed by DataAssist v3.0 and SPSS v17.0 (Chicago, IL, USA). P<0.05 was considered statistically
significant.
3. Results
Clinical
characteristics of the patients
All the patients and controls were of Han nationality, and there were no differences in age, sex or residential locations between MDD patients and healthy controls(P>0.05).
MiRNA microarray
expression profiling
Using six blood samples in microarray profiling, 6 miRNAs were identified with significantly different expression levels in GAD patients compared with controls (fold change≧2; P<0.05). Of these, miR-1301 were down-regulated and miR-4484, miR-4674, miR-501-3p, miR-663, miR-4505 were up-regulated (Table 1).
Table 1 Differentially expressed miRNA screened
by microarray analysis in GAD group |
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miRNA |
FC (abs) |
Regulation |
p value |
miR-1301 |
2.3241158 |
down |
0.043555733 |
miR-4484 |
2.6544758 |
up |
0.027691107 |
miR-4674 |
5.235361 |
up |
0.033227257 |
miR-501-3p |
2.603456 |
up |
0.020094587 |
miR-663 |
3.5586042 |
up |
0.030692855 |
miR-4505 |
5.31572 |
up |
0.013972622 |
qPCR
verification
The expression levels of 6 miRNAs were compared between GAD group and control group. The results indicated that 5 out of the 6 miRNAs, including miR-4484, miR-4674, miR-501-3p, miR-663, miR-4505 were up-regulated, had significantly increased expression levels in GAD group than those in control group and miR-1301 were down regulated (Table 2).
Table 2 Comparison of miRNA
expression levels between GAD group and control group(ΔCT) |
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miRNA |
GAD group |
Control group |
Z |
P |
miR-1301 |
11.09±2.72 |
9.61±3.05 |
2.718 |
0.007 |
miR-4484 |
-0.74±3.84 |
1.57±3.02 |
-3.426 |
0.001 |
miR-4674 |
2.89±6.00 |
5.45±4.15 |
-2.285 |
0.023 |
miR-501-3p |
8.88±3.17 |
10.46±2.32 |
-2.883 |
0.004 |
miR-663 |
2.61±4.83 |
4.64±3.60 |
-2.399 |
0.016 |
miRNA-4505 |
8.35±3.27 |
10.48±2.61 |
-3.451 |
0.001 |
Correlation
between miRNA expression and social support score
Spearman correlation analysis results revealed that significant correlation were found between the expression level of miR-1301 and total score of social support and the score of support utilization (Table 3).
Table 3 Correlation analysis between miRNA expression levels and social support(r) |
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Items |
miR-1301 |
miR-4484 |
miR-4674 |
miR-501-3p |
miR-663 |
miR-4505 |
Total score |
-0.47* |
-0.359 |
-0.237 |
-0.268 |
-0.307 |
-0.208 |
Objective support |
-0.384 |
-0.415 |
-0.237 |
-0.309 |
-0.244 |
-0.253 |
Subjective support |
-0.422 |
-0.202 |
-0.174 |
-0.081 |
-0.321 |
-0.364 |
utilization |
-0.573** |
-0.415 |
-0.272 |
-0.431 |
-0.305 |
-0.277 |
Note: *P<0.05, **P<0.01 |
4. Discussion
In previous studies, Song et al. (2014) and Zhou et al. (2021) have identified that circulating miRNAs were associated with human schizophrenia and major depressive disorder. Malan-Müller et al. argued it has been increasingly acceptable that aberrant expressions of certain miRNAs also have a significant role in underlying pathophysiology of GAD, even less studies on correlation between miRNA expression profiling in GAD patients and social support.
In this study, 6 miRNAs (miR-1301, miR-4484, miR-4674, miR-501-3p, miR-663, miR-4505) have been identified by microarray analysis and qPCR analysis, In studies of Menezes et al. (2019) and Arzua et al. (2021) reported that miRNAs, as genetic biomarkers, are related to genes that play a fundamental role in synaptic plasticity, neurogenesis, mood control, brain ageing, immune-inflammatory processes and mitochondrial respiratory chain, and these neuro-process may furtherly induce pathology of GAD. In addition, the expression level of miR-1301 was significantly and negatively correlated to the total social support score and score of social support utilization, which maybe suggests a close connection between miRNA expression and GAD molecular and cellular mechanism. On one hand, Qi et al. (2020), Abbas et al. (2019) and Zhou et al. (2020) reported that social support has great impact upon the mental health of individuals, attracting tremendous attention demonstrated by many studies on children and adults. Initial community and school violence exposure and witnessing IPV were both positively associated with initial levels of anxiety. Further, Kennedy et al. (2009) found that gender, initial family social support, and change in family social support significantly moderated the effect of change in community and school violence exposure on anxiety. There was no evidence that social support was more ‘protective’ in areas of greatest social fragmentation, Fagg et al. (2008) note that while being in employment with more social inerpersonal relationship was associated with better mental health in this sample. Ren and Li (2020). found that social support was negatively related to anxiety, In this study, the △CT value of miR-1301 was negatively related to the total social support score and score of social support utilization, indicating that individuals who had better social support had lower expression of miR-1301. GAD patients had differentially expressed miR-1301 but those of GAD patients who had better social support had lower expression of miR-1301, suggesting that social support has negative relation with anxiety, and there are interactions between social support, anxiety and miR-1301 expression.
Hoffart et al. (2021) and Fitzpatrick et al. (2020) noted that GAD patients have usually demonstrated to be over-concerned with negative stimulating events and poorly regulated inhibition, which may suggest that GAD patients have difficulty in regulating negative emotions. Social support refers to emotional and material connection with relatives, friends, colleagues and relevant organizations. Weiss et al. (2021) confirmed that effective social support could substantially down regulate the effects of negative life events, thus serving a positive role in maintaining good mental health. Based upon these studies mentioned above, we can say that the development of GAD probably results from the interaction between social support, individual’s cognition, endocrinology and also the molecular genetics such as miR-1301 expression.
5. CONCLUSION
In conclusion, comprehensive factors, including miRNA regulation, social support may be involved into the aetiology of GAD. We can say that the development of GAD probably results from the interaction between social support, individual’s cognition, endocrinology and also the molecular genetics such as miR-1301 expression.
ACKNOWLEDGEMENTS
The authors would like to thank Sheng-dong Chen and Gao-feng Yao for their help statistical analysis and manuscript revision.
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