Literature DB >> 34184078

Expression levels of specific microRNAs are increased after exercise and are associated with cognitive improvement in Parkinson's disease.

Franciele Cascaes Da Silva1, Michele Patrícia Rode2, Giovanna Grunewald Vietta3, Rodrigo Da Rosa Iop1, Tânia Beatriz Creczynski-Pasa2, Alessandra Swarowsky Martin4, Rudney Da Silva1.   

Abstract

There is a consensus regarding the efficacy of physical exercise in maintaining or improving human health; however, there are few studies examining the effect of physical exercise on the expression levels of microRNAs (miRNA/miRs) in Parkinson's disease (PD). The aim of the present study was to investigate the effects of an interval training program on a cycle ergometer on the expression levels of miR‑106a‑5p, miR‑103a‑3p and miR‑29a‑3p in serum samples from men with PD. This was a quasi‑experimental study with pre‑ and post‑testing and with a non‑equivalent group design. The participants were selected based on the eligibility criteria and subsequently classified into two groups: Experimental group and control group. The evaluations were performed at the beginning of the study (week 0) and after 8 weeks of the intervention program (week 9). The interval training program was performed on a cycle ergometer for 30 min, three times a week during an 8‑week period. The expression levels of miR‑106a‑5p, miR‑103a‑3p and miR‑29a‑3p in the experimental group were increased after physical exercise and were associated with cognitive improvement in men with PD. However, further studies are required to clarify the potential use of these circulating miRNAs as markers of adaptation to physical exercise. Collectively, the present results indicated that these three miRNAs may be associated with the exercise response and cognitive improvement in men with PD.

Entities:  

Keywords:  Parkinson's disease; microRNA; physical exercise; serum

Year:  2021        PMID: 34184078      PMCID: PMC8258464          DOI: 10.3892/mmr.2021.12257

Source DB:  PubMed          Journal:  Mol Med Rep        ISSN: 1791-2997            Impact factor:   2.952


Introduction

In recent years, there has been a consensus that physical exercise is effective in maintaining or improving cardiovascular and musculoskeletal health, both of which are fundamental for the preservation of physiological functioning and independence (1). Previous studies have reported that some physical exercise modalities are effective in reducing falls (2–4), and in improving balance (2) and symptoms of anxiety and depression (5,6) in healthy individuals. There has been increasing evidence of the benefits of physical exercise in improving mobility (7–10), postural stability (7–10), gait (11,12), quality of life (13,14), cognitive function (13–15) and severity of symptoms in individuals with Parkinson's disease (PD) (10). PD has a lifetime risk of 2% and is considered the second most common neurodegenerative disorder (16). Functional disability caused by PD leads to an increased inability to perform activities of daily living, loss of independence, decreased quality of life, and socioeconomic and occupational losses (17). Motor deficiencies in individuals with PD, caused by bradykinesia, rigidity, tremor and postural instability, accelerate the declines in functional capacity, especially when associated with decreasing physical activity and a sedentary lifestyle (18,19). Recent advances in understanding the molecular mechanisms of PD have revealed the involvement of small non-coding RNA molecules, known as microRNAs (miRNAs/miRs), in the derangements and perturbation of processes associated with the regulation of the expression levels of genes involved in PD development (20–22). Moreover, a systematic review of the literature identified ~91 different miRNAs associated with PD, with the expression levels of 39 of these miRNAs differing significantly between individuals with PD and healthy controls and/or between treated and untreated patients with PD (23), such as miR-30b, miR-30c, miR-26a, miR-450b-3p, miR-148b, miR-1, miR-22*, miR-29a, miR-103a-3p, miR-30b-5p, miR-29a-3p, miR-1249, miR-20a, miR-18b, miR-378c, miR-4293, miR-652, miR-15a*, miR-29c, miR-376c, miR-143, and miR-19b (downregulated miRNAs) and miR-1826, miR-626, miR-505, miR-16-2a*, miR-26a2*, miR-30a, miR-7, miR-9-3-p, miR-9-5p, miR-129, miR-132, miR-423, miR-365, miR-486, miR-1260, miR-218 and miR-331-5p (upregulated miRNAs). A systematic review of experimental and quasi-experimental studies published between 2007 and 2017 (24) revealed the acute and/or chronic effects of physical exercise (aerobic and resistance) on the expression of several miRNAs in healthy individuals (25–36), athletes (37–40), young and older adults (41–50), as well as in patients with chronic heart failure (CHF) (51,52), chronic kidney disease (CKD) (53), type 2 diabetes mellitus (DM2) associated with morbid obesity (54), prediabetes (55) and intermittent claudication (56,57). However, to the best of our knowledge, there have been no studies investigating the effects of physical exercise on the expression levels of miRNAs in individuals with PD. Therefore, additional studies should be performed to examine the effect of physical exercise on circulating miRNAs in individuals with pathological conditions, such as neurological diseases, as physical exercise serves an important role in mitigating or delaying the emergence of symptoms, which ultimately results in a certain degree of independence and improved quality of life, indicating its consideration as an auxiliary method in traditional therapies (24). Based on these premises, the present study aimed to investigate the effects of an interval training program using a cycle ergometer on the expression levels of miRs associated with PD, including miR-106a-5p, miR-103a-3p and miR-29a-3p, in serum samples from men with PD.

Materials and methods

Ethics approval and consent

This quasi-experimental study with pre- and post-tests, and with a non-equivalent group design was approved by the Ethics Committee for Research involving Human Beings of the State University of Santa Catarina in 2015 (certificate of presentation for ethical appreciation no. 50032415.1.0000.0118). The objectives of this study and the procedures adopted throughout the research were explained to all participants, who voluntarily agreed to continue participation by signing an informed consent document.

Study design

The evaluations were performed at the beginning of the study (week 0) and after 8 weeks of the intervention program (week 9) at the Center for Health and Sports Sciences (CEFID; Florianópolis, Brazil) from March to June 2018.

Identification, selection and allocation of participants

A total of eight men with PD participated in this study. The participants fulfilled the following inclusion criteria: i) Age ≥50 years old and ≤80 years old; ii) classification in stages I, II and III of the Hoehn & Yahr scale; iii) a score ≥24 in the Mini-Mental State Examination (MMSE); iv) use of stable medication during the last 3 months; and v) physical ability to walk 300 m or more during the 6-min walk test (6MWT). The decision to include only men in this study was made given the need to minimize possible sex-specific confounding effects, such as those arising from typical hormonal implications of the menstrual cycle in women, which may cause changes in circulating miRNA expression levels (58,59). During the recruitment phase, some individuals indicated that they would meet the inclusion criteria. After the initial assessments, these potential participants were excluded as they may i) have a deep brain stimulator implant; ii) present with other neurological disorders, musculoskeletal diseases and uncontrolled hypertension; iii) show changes in cognitive functions that would impair cooperation and comprehension of the proposed activities; and iv) have visual deficits. The participants were selected based on the eligibility criteria and classified into two groups (both n=8): Experimental group (EG, interval training program) and control group (CG). The medications prescribed [levodopa (L-dopa) or Prolopa] for the participants were not changed by the researchers during the present study. All evaluations and training sessions were performed at the same time of day to minimize the effects of scheduled medication on motor function.

Demographic, economic and clinical assessments

Demographic and economic information was collected using a clinical report form specifically developed for this study in March 2018. Clinical characteristics, namely time of diagnosis, disease severity and motor function were respectively assessed using a clinical report form, the modified Hoehn & Yahr Scale (60), with scores ranging from 0 (no signs of disease) to 5 (wheelchair bound or bedridden unless aided), and the Unified Parkinson's Rating Scale-section III (UPDRS) (61), where the score of each of the 14 items ranges from 0–4 and higher values indicate greater impairment. Overall cognition was assessed through the MMSE (62), with a score ranging from 0–30 points and lower scores indicating a possible cognitive deficit, and the Montreal Cognitive Assessment (MoCA) (63), with a total score of 30 points and scores ≥26 indicating absence of cognitive impairment. Cardiorespiratory performance was assessed in field tests, and all participants were submitted to the 6MWT following the Brazilian guidelines for the application of the test (64). The 6MWT is useful to evaluate clinical data and to help design rehabilitation therapies for individuals with PD (65).

Blood samples

Blood was collected following the recommendations of the Brazilian Society of Clinical Pathology/Laboratory Medicine for venous blood collection (66). All participants had their blood samples collected in the afternoon (week 0 and 9). Peripheral blood samples (5 ml) were collected in Vacutainer tubes without anticoagulant (BD Biosciences). The samples were processed for serum isolation within 2 h of collection. Serum samples were centrifuged at 3,000 × g for 10 min at 4°C (Omega® centrifuge). The serum was divided into aliquots and stored in a freezer at −80°C for subsequent analyses, which were performed by the Group of Studies on Micro-Macromolecule Interactions of the Federal University of Santa Catarina. The aliquots were transported by land on dry ice following the Brazilian Health Regulatory Agency guidelines for blood transport and components (67). Serum samples with hemolysis were not included in the study.

Extraction of total RNA and reverse transcription-quantitative PCR

Total RNA was extracted using the mirVana™ PARIS™ RNA kit (Thermo Fisher Scientific, Inc.) according to the manufacturer's instructions. During RNA extraction, 25 fmol spike-in cel-miR-238-3p from Caenorhabditis elegans was added to each serum sample after denaturation. To evaluate the amount and quality of total RNA, the NanoVue Plus spectrophotometer (GE Healthcare Life Sciences) was used. Finally, the total RNA obtained was stored in a freezer at −80°C. For qPCR, polyadenylation, RT and qPCR were performed using the miRNA RT-qPCR Master Mix Detection kit (Agilent Technologies, Inc.) according to the manufacturer's instructions. For the qPCR experiment, the specific primers of each miRNA were designed following the recommendations of the miRNA RT-qPCR Master Mix Detection kit protocol (Agilent Technologies, Inc.). Primers were designed for evaluation of the expression levels of the following miRNAs: Cel-miR-238-3p, hsa-miR-106a-5p, hsa-miR-103a-3p and hsa-miR-29a-5p. The sequences of the primers are presented in Table SI. The efficiency of the primers was determined using LinRegPCR version 2018.0 (68). The qPCR data were analyzed on 96-well plates using the StepOnePlus™ Real-Time PCR System (Applied Biosystems; Thermo Fisher Scientific, Inc.). The qPCR reactions were performed in a final volume of 25 µl according to the manufacturer's instructions. The qPCR experimental conditions were as follows: Initial denaturation at 95°C for 10 min, followed by 40 cycles at 95°C for 10 sec, 53°C for 15 sec and 72°C for 20 sec. Finally, the specificity of the reactions was evaluated via analysis of dissociation curves (95°C for 1 min, 53°C for 30 sec, annealing temperature up to 95°C with ramp of 0.3°C per second and 95°C for 1 min). The miRNA with Cq value >35 was considered undetected. The reactions were performed in triplicate, assuming the geometric mean between the Cq values found for each sample to calculate relative gene expression. For the calculation of relative gene expression, the 2−ΔΔCq method described by Livak and Schmittgen was used (69).

Prediction of target genes

Prediction analyses of target genes of miR-106a-5p, −103a-3p and −29a-3p were performed using two databases (TargetScan version 7.2: http://www.targetscan.org/vert_72/ and miRDB January 2019 version: http://www.mirdb.org/) (70,71). The final list of target genes was obtained through the intersection of the results from the two databases. The analysis of the main biological processes (P<0.05) involved in the target genes list was performed using the Gene Ontology (GO) database (Released 2018-12-01; http://geneontology.org/) (72). The most relevant biological processes were visualized using REViGO (version 2017; revigo.irb.hr/) (73).

Interval training program

The interval training program was performed on a cycle ergometer (Embreex® stationary bicycle; Embreex) for 30 min, three times a week during an 8-week period. The program was supervised by a physiotherapist specialized in Exercise Physiology and Customized Training for Special Groups. All activities were performed at the CEFID. The exercise sessions were standardized and divided into five parts: i) Initial part (prior to training): Blood pressure (BP), heart rate (HR) and rate of perceived exertion (RPE) were measured; ii) Preparation/warm-up (5 min): Participants were instructed to pedal at a comfortable rate; iii) Training (20 min): Participants were asked to pedal for 15 sec at an intensity corresponding to 80% HR6MWT (74). Due to cardiovascular adjustments in the first sec of the training, perceived exertion was controlled during the stimulus phase according to the RPE scale 6–7 (74). In the recovery phase, the participants were recommended to pedal for 45 sec at an intensity of 55–60% HR6MWT, which corresponds to the RPE scale 2–3. Thus, the participants performed the interval training composed of 20 stimuli of 15 sec and recovery of 45 sec (74). The HR was monitored throughout the training using an FT1 Polar® heart rate monitor (74). Sound signals indicated the moment when the participant should change the pedaling intensity. iv) Cooling-off/calm down (5 min): Participants were instructed to pedal at a comfortable rate; and v) Final part (similar to the initial part): BP, HR and RPE were measured. Each participant was monitored on a daily basis using a control chart including the participant's name, date of activity, BP, HR, initial and final perceived exertion rates. In addition, HR and perceived exertion were recorded at 15 and 45 sec of each min for 20 min.

Statistical analysis

The data were initially entered into a Microsoft Excel® spreadsheet (2010; Microsoft Corporation) and were subsequently exported to the IBM® SPSS program (version 20.0; IBM Corp.) and to the GraphPad Prism 6 statistics software (GraphPad Software, Inc.). Data are presented as the mean ± SD of two independent experimental repeats. The normality of the data was analyzed using the Shapiro-Wilk test. The t-test for independent samples was used to compare the groups (EG and CG). Comparisons among the participants before (week 0) and after (week 9) the intervention were conducted using the t-test for paired samples with GraphPad Prism 6 statistics software. The correlation between the variables UPDRS, MMSE, MoCA, 6MWT and the relative expression levels of the miRNAs (before and after training) were evaluated using the Spearman's rank correlation coefficient. P<0.05 was considered to indicate a statistically significant difference.

Results

Participant characteristics

After the research was advertised on social media, nine assessed individuals met the eligibility criteria to participate in the study. However, between the assessment phase and the beginning of the exercise program, one individual decided to withdraw participation due to personal reasons. Demographic and economic data, clinical characteristics, global cognition and cardiorespiratory performance at baseline are summarized in Table I.
Table I.

Characteristics of the study participants at baseline (n=8).

Groups

CharacteristicsEG (n=4)CG (n=4)P-value
Demographic and economic data
  Age, years66.25±12.9763.50±9.600.745
  Years of schooling11.00±2.1610.25±6.940.843
  ABEP, points26.50±7.4129.25±14.860.752
Clinical characteristics
  Time of diagnosis, years5.75±3.689.25±5.730.344
Hoehn & Yahr scale
  Stage I3 (75)3 (75)
  Stage II1 (25)1 (25)
  Stage III00
UPDRS- section III12.50±2.388.50±2.510.069
Global cognition
  MMSE27.50±1.7326.75±2.630.651
  MoCA25.50±4.6523±5.470.513
Cardiorespiratory performance
  Distance in 6MWT, m422.00±84.36546.79±74.990.060

Data were analyzed by t-test and are presented as the mean ± SD or n (%). n, absolute frequency; %, relative frequency; EG, Experimental Group; CG, Control Group; ABEP, Brazilian Marketing Research Association; MMSE, Mini-Mental State Examination; UPDRS, Unified Parkinson's Disease Rating Scale; 6MWT, 6-min Walk Test; MoCA, Montreal Cognitive Assessment.

Relative expression of miRNAs before and after cycling training program

There was no difference in the relative expression levels of the miRNAs analyzed between the EG and CG before and after the cycling training program. Regarding the effect of the interval training on a cycle ergometer, there was an increase in the relative expression levels of miR-106a-5p in the EG (P=0.04) and no difference in the CG (P=0.07) compared with the levels before training (Fig. 1A). There was an increase in the relative expression levels of miR-103a-3p in the CG (P=0.005), but no significant difference was observed in the EG (P=0.09) after training (Fig. 1B). The expression levels of miR-29a-3p were upregulated in the CG (P=0.06) (Fig. 1C), while no statistical difference was noted in the EG (P=0.16).
Figure 1.

Relative expression levels of (A) miR-106a-5p, (B) miR-103a-3p and (C) miR-29a-3p in the CG and EG before and after interval training on a cycle ergometer. Data are presented as the mean ± SD of relative expression. Statistical differences were calculated using the t-test for independent or paired samples. miR, microRNA; CG, control group; EG, experimental group.

Correlation between relative expression levels of miRNAs, MMSE, UPDRS, MoCA and 6MWT

Spearman's rank correlation coefficient was used to identify the correlation between the analyzed variables. The cognitive profile assessed using the MMSE was moderately, positively correlated with the relative expression levels of miR-106a-5p, miR-103a-3p and miR-29a-3p (Fig. 2).
Figure 2.

Correlations between the values obtained in the MMSE and the relative expression levels of (A) miR-106a-5p, (B) miR-103a-3p and (C) miR-29a-3p. The correlation was assessed using the Spearman's Rank Correlation Coefficient (r). Significant P-values are marked with an asterisk. MMSE, Mini-Mental State Examination; miR, microRNA.

The variables UPDRS, MoCA and 6MWT were not correlated with the relative expression levels of the assessed miRNAs (Table II).
Table II.

Correlation between the variables UPDRS, MoCA, 6MWT and the relative expression levels of miR-106a-5p, miR-103a-3p and miR-29a-3p.

miR-106a-5pmiR-103a-3pmiR-29a-3p



VariablesρP-valueρP-valueρP-value
MoCA0.4500.0930.3400.2140.4570.088
UPDRS−0.2340.365−0.2480.337−0.3040.241
6MWT0.0850.7600.2370.3900.1430.608

Correlation was assessed using the Spearman's Rank Correlation Coefficient. MoCA, Montreal Cognitive Assessment; UPDRS, Unified Parkinson's Disease Rating Scale; 6MWT, 6-min walk test; miR, microRNA.

Target genes

The target genes for the three miRNAs were identified using the TargetScan and miRDB databases. Among these genes, 943 genes were predicted for miR-106a-5p, 438 genes for miR-103a-3p and 771 genes for miR-29a-3p in both databases (Fig. S1 and Data S1). The analysis of the main biological processes involved with the target genes identified an important relation with the ‘Wnt signaling pathway’, as well as with the development of the nervous system, bones and muscles (Fig. 3 and Table SII).
Figure 3.

Ontological analysis of significant biological processes associated with Parkinson's disease regulated by the predicted target genes of (A) miR-106a-5p, (B) miR-103a-3p and (C) miR-29a-3p. miR, microRNA.

Discussion

PD is the most prevalent movement disorder of the central nervous system, characterized by the progressive loss of dopaminergic neurons in the substantia nigra pars compacta and the accumulation of α-synuclein (10,16,20). The accumulation of the α-synuclein protein leads to neuronal dysfunction. miRNAs can modulate the accumulation of this factor and other proteins by regulating the genes that encode these toxic proteins and transcription factors, or by altering the expression of proteins that regulate survival of neuronal cells (75). In this context, miRNAs are involved directly and indirectly in the pathogenesis of PD (75–79), and therefore, miRNAs that target genes involved in neurodegeneration are of potential therapeutic value (80). In the present study, it was possible to observe an increase in relative expression levels of miR-106a-5p, miR-103a-3p and miR-29a-3p in serum of individuals who participated in a supervised cycling training program of 30 min, three times a week for a period of 8 weeks. Notably, the program promoted a significant increase in the expression of miR-106a-5p. In healthy individuals, previous studies have reported changes in miRNA expression levels after aerobic exercise. For instance, Denham et al (34) observed a reduction in miR-210 and an increase in miR-21 after 12 weeks of physical exercise on the treadmill. In four studies, changes were identified in 38 miRNAs in neutrophils (25), 33 miRNAs in peripheral blood mononuclear cells (26), 22 miRNAs in natural killer cells (27) and 18 in monocytes (28) in healthy men after exercise using a cycle ergometry. Another study revealed the acute and chronic effects of stationary bike exercise in healthy young individuals on the expression levels of miRNAs (46). In a previous study, miR-106a, miR-221, miR-30b, miR-151-5p, let-7i, miR-146a, miR-652 and miR-151-3p expression levels were decreased, while miR-338-3p, miR-330-3p, miR-223, miR-139-5p, miR-143, miR-145 and miR-424 expression levels were increased after 1 h of training. After 12 weeks, there was a decrease in miR-342-3p, let-7d, miR-766, miR-25, miR-148a, miR-185 and miR-21 expression levels and an increase in miR-103 and miR-107 expression levels (46). These results suggested the potential value of miRNAs as a possible physiological mediator of exercise-induced adaptation in healthy individuals and in individuals with neurological diseases, such as PD. In the present study, positive correlations were observed between the MMSE values and the relative expression levels of miR-106a-5p, miR-103a-3p and miR-29a-3p, indicating that the increase in the expression level of these miRNAs was associated with decreased cognitive deficit. Other studies also reported a correlation between miR-29a expression and MMSE in patients with vascular dementia (81), and between miR-103a expression and MMSE in Japanese subjects without a clinical diagnosis of dementia who attended a health examination in Yakumo, Hokkaido (82). A study involving an ovariectomized mouse model of cognitive impairment suggested that miR-106a may be a marker of onset or a potential therapeutic target for cognitive disturbances (83). At present, to the best of our knowledge, only Serafin et al (79) demonstrated dysregulation of miR-103a-3p and miR-29a-3p in PD; additionally, overexpression in peripheral blood mononuclear cells of patients treated with L-dopa was observed. Prediction analyses of target genes in the present study revealed that these miRNAs are associated with important biological processes involved in motor function and in the development of the central nervous system. Some of these target genes have been validated in functional experiments, where it has been reported that miR-106a-5p regulates the expression of the autophagy-related gene 7 (84), and suppression of this gene is associated with the death of dopaminergic neurons and accumulation of α-synuclein (85). Moreover, miR-106a-5p has been reported to regulate the expression of the hypoxia-induced factor-1 gene (86), which is associated with cell death in various neurodegenerative diseases. In addition to regulating processes related to neurogenesis, miR-106a-5p serves a role in myogenesis. Recently, miR-106a-5p has been identified in animal models as a repressor of myogenesis as it inhibits differentiation and promotes atrophy by blocking the PI3K/AKT signaling pathway via PIK3R1 (87). A previous study also observed that miR-106a-5p was downregulated immediately after acute exercise in young healthy men (88); however, the impact of exercises in older men is yet to be elucidated. Prediction analyses of target genes of miR-103a-3p have demonstrated a relationship with the Wnt signaling pathway (89,90). This pathway is associated with the survival of dopaminergic neurons and their dysregulation may be a potential cause for PD (89,90), suggesting that miR-103a-3p can regulate the expression of the extracellular Dickkopf-1 protein (DKK1) (88). A recent study confirmed that miR-103a-3p can regulate DKK1 expression (88). Furthermore, this protein can block the canonical Wnt pathway, contributing to neurotoxicity in PD (91,92). miR-103a-3p is also involved in the regulation of several other PD-related processes, such as the regulation of myocyte enhancer factor-2 (MEF2D) transcription factor, and the regulation of MEF2D is associated with loss of dopaminergic neurons (93,94). miR-103a-3p and miR-29a-3p are related to insulin resistance, a process that may be linked to neurodegeneration in DP (95–100). In the present study, although miR-29a-3p did not show a statistically significant difference between the pre- and post-exercise groups, a correlation with cognitive profile assessed using the MMSE was noted. One of the targets of miR-29a-3p is G protein-coupled receptor 37 (GPR37) (99). The intracellular accumulation of GPR37 is neurotoxic and is associated with PD (99). Inactivation of GPR37 produces motor and non-motor phenotypes relevant to PD (99). Thus, poor regulation of GPR37 due to overexpression of miR-29a-3p may be associated with PD (79). CDC42, a candidate gene for PD involved in neuronal death (100), was also identified as a potential target for miR-29a-3p. An emerging paradigm of post-transcriptional molecular regulation due to physical exercises involves the action of miRNAs, which regulate mRNA translation (38). Several studies have examined the acute and/or chronic effects of physical exercises s(aerobic and resistance) on various miRNAs in healthy individuals (25–36), athletes (37–40) and in young and older adults (41–50), as well as in patients with CHF (51,52), CKD (53), DM2 associated with morbid obesity (54), prediabetes (55) and intermittent claudication (56,57). In these studies, most of the investigated subjects were men. Moreover, to the best of our knowledge, the effects of physical exercises on the expression of miRNAs in individuals with PD have not been investigated. Thus, the present study was the first to investigate the effects of an interval cycling training program on the expression levels of miRNAs in serum samples from men with PD. In the present study, the interval cycling training program increased the expression levels of miR-106a-5p, miR-103a-3p and miR-29a-3p, with a statistically significant increase observed in the expression of miR-106a-5p. However, there is limited information regarding this miRNA in PD. The current results indicated that these miRNAs may participate in the response to exercise; however, further studies with a larger sample size are required to confirm these results. The present results suggested that miR-106a-5p, miR-103a-3p and miR-29a-3p may partially reflect exercise-induced responses or time regulation controlled by miRNAs during exercise. Limitations of the present work are that the selected participants were only men, and that the dosage and treatment were not investigated. Therefore, future research should be performed to investigate whether this is a sex-specific issue, as well as to examine the relationship between patients were treated with L-dopa or Prolopa. In conclusion, in men with PD, serum expression levels of miR-106a-5p, miR-103a-3p and miR-29a-3p were increased in response to a supervised interval training program on a cycle ergometer for 30 min, three times a week for a period of 8 weeks. It was found that the program promoted a significant increase in the expression of miR-106a-5p. Additionally, the expression levels of miR106a-5p, miR-103a-3p and miR-29a-3p were positively correlated with MMSE values. Further studies are required to clarify the potential use of these circulating miRNAs as markers of adaptation to physical exercise. The present results indicated that these three miRNAs were associated with the exercise response and cognitive improvement in men with PD.
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