American Journal of BioScience
Volume 3, Issue 5, September 2015, Pages: 190-196

Influence of Beta-2-Adrenergic Receptor Gln27Glu Polymorphism on the Autonomic Heart Rate Modulation in Young Sedentary and Physically Active Women

Rebelo Ana Cristina Silva1, Melo Aryanne Batista Soares2, Salviati Mariana Rodrigues3, Verlengia Rozangela3, Vale Arthur Ferreira Do1, Nogueira Yanley Lucio4, Tamburús Nayara Yamada5, Kunz Vandeni Clarice6, Silva Ester Da5

1Department of Morphology, Biological Sciences Institute, Federal University of Goiás, Goiânia, Brazil

2Center for Neuroscience and Cardiovascular Physiology Research, Department of Physiological Sciences, Biological Sciences Institute, Federal University of Goiás, Goiânia, Brazil

3Humana Performance Research Group - College of Health Sciences (FACIS), Methodist University of Piracicaba (UNIMEP), Piracicaba, Brazil

4Faculty of Medicine, Federal University of Goiás, Goiânia, Brazil

5Department of Physiotherapy, Federal University of Sao Carlos, Sao Carlos, Brazil

6Adventist University of Sao Paulo, Engenheiro Coelho, Sao Paulo, Brazil

Email address:

(R. A. C. Silva)

To cite this article:

Rebelo Ana Cristina Silva, Melo Aryanne Batista Soares, Salviati Mariana Rodrigues, Verlengia Rozangela, Vale Arthur Ferreira Do, Nogueira Yanley Lucio, Tamburús Nayara Yamada, Kunz Vandeni Clarice, Silva Ester Da. Influence of Beta-2-Adrenergic Receptor Gln27Glu Polymorphism on the Autonomic Heart Rate Modulation in Young Sedentary and Physically Active Women. American Journal of BioScience.Vol.3, No. 5, 2015, pp. 190-196. doi: 10.11648/j.ajbio.20150305.15


Abstract: Background: Studies have shown an interaction between the autonomic heart rate (HR) modulation and genetic polymorphisms. Nevertheless, it is yet unclear how a particular genetic polymorphism may determine a pattern of autonomic HR control, especially regarding the role of physical exercise. The objective was to investigate the influence of of Beta-2-Adrenergic (β2-AR) Gln27Glu polymorphisms and exercise on HRV of young Brazilian women. Methods: The group was selected as Sedentary Group (SG; n = 88) and physically Active Group (AG; n = 99). The β2-AR polymorphisms were analyzed using PCR-RFLP. The amplicons were subjected to electrophoresis on a 10% acrylamide gel and stained with ethidium bromide. The HR was registered in real time for 15 minutes, in the supine-position. The heart rate variability (HRV) was analysed using Shannon’s entropy (SE), conditional entropy (complexity index [CInd] and normalized CInd [NCI]), and symbolic analysis (0V%, 1V%, 2LV%, and 2ULV%). Statistical analysis: Analysis of variance (ANOVA) with Fisher's Least. Results: AG presented higher values for SE and 2ULV%, and lower values for 0V% when compared to SG (p<0.05). There was no significant difference of any index among genotypes both from the complexity and symbolic analysis. The interaction between genotype and exercise did not significantly affect HRV. Conclusion: These results do not support the concept that the β2-AR Gln27Glu polymorphisms affects the HRV indexes in physically active or sedentary women.

Keywords: β2-Adrenergic Polymorphism, Heart Rate Variability, Non-Linear Analysis, Women, Exercise


1. Introduction

Heart activity is largely modulated by the autonomic nervous system, which promotes rapid adjustments in the cardiovascular system during different stimuli (i.e., physical exercise, mental stress and postural change) [1,2]. Heart rate variability (HRV) is a non-invasive measure used to analyze the influence of the autonomic nervous parasympathetic contributions to consecutive HR oscillations. Reduced HRV indices are associated with an increased risk of future cardiovascular disease onset [3-5].

Studies have shown a significant genetic influence on a variety of HRV measures [6,7]. β2 adrenergic receptor (β2-AR) have a pivotal role in the functions of the cardiac autonomic nervous system. Activation of β1-AR provides strong stimulus to increase the frequency and contractility of the heart, whereas the activation of β2-AR results in smooth muscle relaxation and increased cardiac output with less extent when compared to β1-AR [7,8].

Considering that the participation and function of β2-AR have been widely recognized, a large amount of research is being done regarding the physiological and physiopathological relevance of polymorphisms of receptors in cardiac insufficiency [9], sistemic arterial hypertension [10], obesity [11-13] and metabolic syndromes [14].

Studies have also observed an interaction between the autonomic heart rate (HR) modulation and genetic polymorphisms. Matsunaga et al. [15] observed a reduction in high frequency (HF) indexes in Japonese men carriers of Glu/Glu genotype. Atala et al. [16] observed by linear analyses (time domain and spectral) in a healthy young population that the β2-AR Gly16Arg polymorphisms can influence intermediate phenotypes, such as HR, cardiac parasympathetic modulation, and baroreflex sensitivity.

It is yet unclear how a particular genetic polymorphism may determine a similar pattern of autonomic HR control from one subject to another, especially regarding the role of physical exercise. It is know that an interaction of several variables such as environmental, morphophysiological, trainability and genetic fac­tors contribute to modifications in the cardiac autonomic modulation [17]. Macho-Azcarate et al. [18] suggest that both lipolysis and fat oxidation promoted by an acute submaximal exercise intervention could be blunted in the β2-AR polymorphisms of female obese population. However, the association between β2-AR Gln27Glu and cardiac autonomic modulation in physically active and sedentary young women was not described.

The following study will do a wide evaluation of the autonomic variation of HR based on non-linear analysis. The use of polymorphism analysis will undeniably contribute to create a profile of the population’s genotype and understanding of which specific phenotypes are altered and can influence autonomic adaptations during physical activity.

The present study is important because intermediate physiological traits in healthy individuals may be predictive of future disease or a distant phenotype. The phenotype can be modulated by physical exercise, creating a cardioprotective effect, improving autonomic cardiac modulation [19]. Cardiovascular modulation is interconnected with the non-linear theory which is sensitive in detecting changes in HRV patterns caused by different stimuli, adaptations and/or pathologies [20].

The hypothesis of the present study is that polymorphisms in ADR-β2 are associated with the autonomic cardiac response; more specifically, physically active women, carriers of the genotype ADR-β2 Gln27Gln, may have better HRV indexes when compared with non-carriers. The objective was to investigate the influence of β2-AR Gln27Glu polymorphisms on HRV of young sedentary and active Brazilian women.

2. Material and Methods

The Ethics Committee of the Methodist University of Piracicaba, SP, Brazil (protocol #43/06), approved the study. All participants gave written informed consent. A group of 187 healthy Caucasian women between 18 to 30 years of age in the Brazilian cohort were selected as Sedentary Group (SG; n = 88) and physically Active Group (AG; n = 99). The AG performed continu­ous physical activity at least 3 days per week (for at least 6 months) at an intensity of 65-90% of maximum HR with durations of 30–60 minutes in accordance to the American College of Sports Medicine. The inclu­sion criteria for all subjects were body mass index (BMI) between 19.0 and 24.9 kg/m2; ovulation confirmed by se­rum progesterone above 4.0 mg/mL on the 21st day of the menstrual cycle.

An evaluation form containing previous family history of existing pathologies, use of oral contraceptives and physical activity level was filled out on a daily basis. Resting HR was measured with a 12-lead electrocardiogram (ECG). HR and BP were evaluated after 5 min of rest in the supine and sitting positions during two visits to the laboratory during the follicular phase of the menstrual cycle. All subjects were in good health, and their biochemical parameters were within normal range. Subjects showing clinical evidences and/or biochemical signs of hyperandrogenism, cardiac or respiratory disease, hypertension (BP 140/90 mmHg), diabetes mellitus, thromboembolic disease, thyroid diseases, stroke, depression or a history of smoking or alcohol use were excluded from the study. None of the subjects were taking sedatives, antihypertensives, antiarrhythmic or other medication that could affect autonomic control of HR.

Resting HR was measured with a 12-lead ECG and a maximum exercise test was conducted using cardiac auscultation. HR and BP were measured after 5 min of rest in the supine and sitting positions by the Korotkoff auscultatory method every 2 min with a mercury column sphygmomanometer (WanMed São Paulo, SP, Brazil) and a stethoscope (Littman, St. Paul, MN, USA) during two visits to the laboratory.

The experiments were carried out during the morning to avoid differences in response due to circadian changes. Room temperature was maintained at 22°C with relative air humidity 40% to 60%. Subjects were informed of the experimental protocol and instructed to abstain from use of stimulants (coffee or tea) and alcoholic beverages during the 24 hours preceding the test as well as to have a light meal at least 2 hours prior to the measurement. ECG and HR data were obtained from a one-channel heart monitor (Miniscope II, Instramed, Porto Alegre, RS, Brazil) and processed using a Lab-PC + analog-to-digital converter (National Instruments Corp., Austin, TX, USA), which interfaced between the heart monitor and a computer. Signals were recorded in real time after analog-to-digital conversion at a sampling rate of 500 Hz, and the R-R intervals (RRi) (ms) were calculated on a beat-to-beat basis using specific software. To evaluate the effect of body position on HR response and its variability, RRi were recorded at rest over an 8-min period with the subjects in both the supine and sitting positions while breathing spontaneously. HRV were assessed in both time and frequency domains. The region of greatest stability for gathering RRi was used for this measurement so that at least 256 consecutive beats were observed [21].

Shannon’s entropy (SE) was calculated to qualify the complexity of the pattern distribution. Shannon’s entropy is higher when distribution is uniform and lower if a subset of probable standard tests is missing or infrequent (for example, in a Gaussian distribution) [22,23].

Symbolic analysis entails (i) the transformation of a heart period variability series into a sequence of integers (i.e., symbols), (ii) the construction of patterns, (iii) reduction in the number of patterns by grouping them into a small number of families, and (iv) the evaluation of the rates of occurrence of these families. The pattern families were as follows: (i) patterns with no variation [0V], (ii) patterns with one variation [1V], (iii) patterns with two like variations [2LV], and (iv) patterns with two unlike variations [2ULV]. The percentage of occurrence of each pattern was calculated (0V%, 1V%, 2LV% and 2ULV%). Studies with pharmacological blockade and autonomic tests (like the tilt test) have indicated that 0V% and 2ULV% represent sympathetic and parasympathetic modulations, respectively [20,22,23].

In this approach, the minimum corrected conditional entropy with respect to past values was taken as a CInd and the index was normalized by the SE of the RR series to obtain a NCI. The larger the complexity index and the normalized complexity index, the higher the complexity and the smaller the regularity. However, neither Shannon’s entropy nor the corrected conditional entropy provide information about the predominance of sympathetic or parasympathetic modulation [24].

DNA was isolated from white blood cells with the use of a standard salting-out procedure [25]. ADR-β2 Gln27Glu (rs1042714) polymorphisms were determined using polymerase chain reaction (PCR) and restriction fragment analysis. PCR assays were carried out in a Biometra T Gradient (Whatman Biometra, Göttingen, Germany). Amplification conditions were set as follows: a 10-min initial denaturation at 94°C, followed by 30 cycles at 95°C for 1 min, 63°C for 1 min and 72°C for 1 min; final extension was conducted at 72°C for 10 min. The sequence primers used - 5'-GAA TGA GGC TTC CAG GCG TC-3'; and 5'-GGC CCA TGA CCA GAT CAG CA-3'. The 353 bp PCR product was digested with 1 unit of Fnu4HI (New England Biolab Incorporated, Beverly, MA, USA) for 2 hours. Genotyping was as follows: 174, 97, 55 and 27 bp for the Gln allele; and  229, 97 and 27 bp for the Glu allele. The amplicons were subjected to electrophoresis on a 10% acrylamide gel and stained with ethidium bromide. Genotyping quality control was performed as described in detail elsewhere [26]. All genotypes were determined by two independent technicians, the results were entered in the database in duplicate, and 10% of the samples were randomly reanalyzed.

Statistical analysis

The calculation of sample size was based on the data reported for the population by [27]. Considering p=.017 and the probability of a woman found in the population with the characteristic (Gln27 or Glu7). The sample size was N = 68, error of 10% and power of 0.80. The allele frequencies and genotype distribution were estimated by gene counting. Hardy–Weinberg equilibrium was assessed with the χ2 test using the Arlequin v3.11 software, which uses an expectation–maximization algorithm. Linkage disequilibrium (LD) and haplotype frequencies were estimated with the LD coefficient (Lewontin's Lewontin's D′) from each pair of SNPs using Haploview 4.2 software. Statistical Package for the Social Sciences v.21 was used to compare frequencies among groups, adjusted residuals and the power of the test. T-test was used to compare demographic, clinical and laboratory characteristics between the SG and AG groups. The relationship between genotype groups and cardiovascular variables was analyzed using analysis of variance (ANOVA) with Fisher's Least significant difference correction for multiple comparisons (p<0.05).

3. Results

3.1. Clinical Characteristics

Baseline characteristics including anthropometric variables, HR, systolic blood pressure (SBP) and diastolic blood pressure (DBP) are shown in Table 1. No significant differences in age, weight, height, BMI, SBP, DBP and HR were found between the AG and SC groups. There were no significant intergroup differences in mean fasting glucose, urea and creatinine (p>0.05). Mean HR was higher in SG group than in AG (p<0.05).

Table 1. Demographic, clinical and laboratory characteristic of young women.

Variables Total (n = 187) AG (n = 88) SG (n = 99) p-value
Age, years 22,7±7,2 26,3±6,5 26,9±7,4 0,58
Weight, kg 59,9±8,3 60,0±8,4 59,8±8,0 0,70
Height, cm 163,2±13,5 163,5±6,6 162,8±17,6 0,65
BMI, kg/m2 22,6±3,6 22,4±2,5 22,7±4,4 0,69
HR supine, bpm 67,2±10,3 58,9±10,5 65,7±10,0 < 0,0001
SBP, mmHg 107,7±9,2 107,8±9,7 107,4±8,8 0,75
DBP, mmHg 72,0±7,1 72,4±6,7 71,4±7,4 0,38
Fasting glucose, mg/dL 70±5 71±9 70±5 0,08
Urea, mg/dL 24±4 23±5 24±4 0.66
Creatinine, mg/dL 0.7±0.3 0.7±0.3 0.6±0.4 0.36
Progesterone, ng/mL 1±7 1±4 1±11 0.07
Exercise (min/session) ----- 157±20.5 ----- ------
Exercise (years) ----- 5.8±4.0 ----- -----

Values are means _ SD. p < 0.05 Compared by independent t-test. BMI: Body mass index; HR: Heart rate; SBP: Systolic blood pressure; DBP: Diastolic blood pressure; AG= Active Group; SG=Sedentary Group.

3.2. Genotyping Data

Minor allele frequencies for ADR-β2 Gln27Glu polymorphism in the study population were 27% and 29%, respectively. The genotype distributions were as expected from Hardy–Weinberg equilibrium and were similar between AG and SG groups (p>0.05).

Table 2. Frequencies of ADR-β2 Gln27Glu polymorphism in physically active and sedentary women.

Data are presented as No. (%); AG= Active Group; SG=Sedentary Group.

Table 3. Spectral and Nonlinear analysis of heart rate variability according to genotypes ADR-β2 Gln27Glu polymorphism of the total group in supine position.

Variables   Genotypes   p
  Gln27 Gln27(n=111) Gln27Glu27(n=49) Glu27 Glu27(n=29)  
SE 3.72±0.38 3.85±0.31 3.71±0.34 0.07
0V% 16.14±12.58 12.72±11.30 17.41±11.62 0.11
1V % 44.99±7.05 45.14±7.02 45.91±5.86 0.91
2LV% 15.31±8.57 15.81±6.66 15.60±7.19 0.51
2 ULV (%) 26.0 ± 6.20 24.0 ± 4.55 25.2 ± 3.53 0.44
NCI 0.72 ± 0.42 0.75±0.58 0.73 ±0.83 0.82
CI 1.23 ± 0.51 1.26 ± 0.62 1.22 ±0.46 0.52

Values are means ± SD. p<0.05 compared to ANOVA by Ranks. LF: Low frequency; HF: High frequency; SE: Shannon Entropy; 0V: patterns with no variation; 1V: patterns with one variation; 2LV: patterns with two like variations; NCI: Normalized Conditional Index; CI: Complexity Index.

The table 3 showed the data from HRV analysis based on symbolic dynamics, Shannon’s entropy, complexity index and normalized complexity index of the groups studied. There was no significant difference of any index among genotypes both from the symbolic analysis (SE, 0V%, 1V%, 2LV% and 2ULV%) and the complexity index (p>0.05).

The relationship between ADR-β2 Gln27Glu polymorphisms and cardiovascular variables in AG group and SG are shown in Tables 4. These variants had no effect on symbolic dynamics, SE, complexity index and normalized complexity index. Moreover, the interaction between genotype and exercise did not significantly affect HRV (p>0.05). AG presented higher values for SE and 2ULV% and lower values for 0V% when compared to SG (p<0.05). There was no significant difference of a 1V%, 2LV% and NCI index between AG and SG (Table 4).

Table 4. Interactions between exercise and ADR-β2 Gln27Glu polymorphism on cardiovascular variables in young women.

Groups Genotypes ES 0V% 1V % 2LV % 2 ULV (%) NCI CI
AG Gln27Gln27 (n=57) 4.0±0.1 7.3±4.9 42.0±6.8 19.8±7.9 27.0± 2.12 0.77±0.18 1.22±0.58
  Gln27Glu27 (n=29) 4.0±0.1 9.7±11.9 42.6±7.5 18.2±5.9 28.8± 3.10 0.78±0.25 1.24± 0.62
  Glu27Glu27 (n=13) 3.9±0.07 9.7±6.1 42.7±5.1 19.3±7.0 26.5 ± 4.35 0.78±0.41 1.26± 0.46
SG Gln27Gln27 (n=52) 3.4±0.3 21.8±11.4 47.9±5.8 11.9±5.7 16.0± 3.18 0.72 ±0.42 1.05±0.58
  Gln27Glu27 (n=20) 3.2±0.3 19.0±8.8 48.7±4.0 12.3±6.2 15.8± 5.10 0.73± 0.51 1.07±0.31
  Glu27Glu27 (n=16) 3.2±0.3 23.6±11.3 48.4±5.1 12.5±5.9 15.5 ± 4.51 0.75±0.58 1.3±0.25
  p values              
  E <0.05 <0.05 <0.05 >0.05 <0.05 >0.05 <0.05
  G 0.47 0.71 0.12 0.45 0.84 0.12 0.36
  I 0.34 0.95 0.41 0.96 0.70 0.52 0.56

Values are means ± SD. AG= Active Group; SG=Sedentary Group; LF: Low frequency; HF: High frequency; SE: Shannon Entropy; 0V: patterns with no variation; 1V: patterns with one variation; 2LV: patterns with two like variations. E= exercise; G=genotype; I=interaction between exercise and genotype. ANOVA two way test p<0.05.

4. Discussion

Genetic variations in both peripheral and central β-AR have major roles in the physiopathology of cardiovascular diseases and in adaptations related to physical exercise because they are also involved in the regulation of cardiac autonomic variation modulations [16,19].

The study sample included active and sedentary women in order to verify whether the ADRB2 Glu27Glu polymorphism affects HRV. The sedentary group was classified as having low cardiorespiratory fitness and the physically ac­tive group was classified as having regular cardiorespi­ratory fitness. According to the population studied, our data shows that the level of aerobic physical activity is associated with improvements in parasympathetic modulation and greater complexity. However, the improvements were not enough to show a positive interaction with the polymorphism and were independent of the physical activity status in the population studied.

HRV analysis by means of Shannon’s entropy and corrected conditional entropy (complexity index and normalized complexity index) showed no differences in the sequential pattern distribution or in the regularity and predictability of patterns, among the genotypes. Also the symbolic analysis of 0V% and 2LV% patterns, regularity and predictability of patterns revealed no differences in HRV ADRβ2 Gln27Gln genotype in both groups.

Atala et al. [16] demonstrated that HRV in time domain was not different between Gln27Glu genotypes subjects. Furthermore, the recessive Glu27Glu and the heterozygous Gln27Glu genotypes had a higher percentage of low-frequency components (LF%) than the homozygous Gln27Gln [16]. It was also observed that the Gln27 allele has a protective effect showed by increased parasympathetic modulation in studied individuals; i.e. we can infer that the type of analysis applied influenced the results obtained.

Matsunaga et al. [15] observed that homozygous carriers of the β2-AR Arg16 allele had lower sympathetic activity than subjects with the Gly allele, and carriers of β2-AR Glu27 allele were linked with higher cardiac sympathetic modulation than subjects with the Gly allele, and carriers of β2-AR Glu27 allele were linked with higher cardiac sympathetic autonomic activity. Differences in population or in experimental conditions may have influenced the discrepancy in the results.

The studies reach controversial results due to the many factors under consideration such as the recessive model and homogeneity of the sample (including gender, age and level of trainability of the test subjects) which may easily confound the researchers thus hindering data interpretation.

Recent studies have shown a relationship between aerobic functional capacity and polymorphisms in β2-AR. Wolfarth et al. [28] observed a positive association between Agr16Gly polymorphism and endurance athletes. Authors have also observed that when comparing carriers and non-carriers of the Gly allele, sedentary individuals present a significant excess amount of said allele, indicating an unfavorable effect during aerobic performance. It is possible that ADR-β2 influence the variation during aerobic performance due to the contribution in regulating energy use and lipid mobilization in fat tissue. Based on these physiological implications, various studies about the genetic composition of athletes have proposed that alterations in the genetic structure result in an increase of aerobic phenotypes with a higher maximum oxygen use and a rise in fat oxidation. Polymorphism in the Gly16Glu27 haplotype has a relation with positive aerobic phenotypes and helps ideal lipolysis, which can also influence aerobic performance [8]. In contrast, the presence of β -AR Gln 27 allele was not associated with increased parasympathetic modulation in active women studied.

Meirhaeghe et al. [29] reported that in sedentary men, those carrying the Gln27Gln genotype had higher body weight, BMI and WHR, as compared with Glu27 carriers. Obese individuals with the ADRβ2 Gln27Gln genotype may benefit from physical activity to reduce their weight.

Sedentary behavior has been associated to autonomic alterations with a reduction of parasympathetic activity. Studies among young adults also observed an increase in HF after a 12 week aerobic conditioning among men however, such results were not obtained with women [4]. A study among healthy young women observed a rise in the indexes based on a non-linear analysis (Shannon’s Entropy and symbolic patterns) [30]. Additionally, regular physical activity lowers HR during rest because of increased vagal tone [31]. The present study is expanding to include the relationship of this ADRβ2 Gln27Gln polymorphism to autonomic modulation. The research does not support the hypothesis that active women - those carrying the Gln27Gln genotype - had higher parasympathetic modulation in comparison to Glu27 carriers. These contradictory results may be due to experimental conditions, type of analysis, heterogeneity of genetic variants of the popula­tion involved in the studies and the aerobic training sta­tus.

Our results confirm other findings reported in the literature, namely, that regular physical exercise is beneficial to the cardiac autonomic nervous regulation. Studies have shown that aerobic physical training promotes high complexity and low regularity of HRV patterns as well as an increase in parasympathetic modulation and a decrease in sympathetic modulation [4,32,33].

However, the level of trainability was not large enough to promote effects of ADRβ2 Gln27Gln polymorphism on parasympathetic modulation in physically active women whereas studies conducted with elite en­durance athletes with a high level of trainability had positive results [28]. Studies in large scale are necessary in other populations to elucidate the functional mechanisms of β2-AR polymorphisms in relation to HR phenotypes and autonomic cardiac modulation.

These results do not support the concept that the genetic polymorphism variation in ADRβ2 Gln27Gln affects the HRV indexes in physically active or sedentary women. This indi­cates that other factors might mediate these responses such as the physical training level of women.

Acknowledgements

This study was supported by CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico – Process no. 370448/2007-3) and FAPESP (Fundação de Amparo à Pesquisa do Estado de São Paulo – Process no. 2006/56788-1). We are indebted to Dr. Alberto Porta and his team of the Department of Technologies for Health, Galeazzi Orthopaedic Institute, University of Milan, Milan, Italy, for providing the programme for the nonlinear analysis of HRV.

Authors’ Contributions

Rebelo ACS, Melo ABS and Salviati MR were integrated in conception and study design, collection and analysis of data, wrote the first draft of the manuscript and edited and revised subsequent drafts. Verlengia R, Vale AF and Nogueira YL participated in collection of data, and edited and revised the article for important intellectual content. Tamburús NY, Kunz VC and Silva E participated in data collection and edited and revised the article for important. All authors approved the final manuscript as submitted.


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