Literature DB >> 30764688

Relationship Between Endothelial Function and the Eliciting Shear Stress Stimulus in Women: Changes Across the Lifespan Differ to Men.

Sophie M Holder1, Áine Brislane1, Ellen A Dawson1, Nicola D Hopkins1, Maria T E Hopman2, N Timothy Cable3, Helen Jones1, Tim H A Schreuder2, Victoria S Sprung1,4, Louise Naylor5, Andrew Maiorana6,7, Andrew Thompson8, Dick H J Thijssen1,2, Daniel J Green5.   

Abstract

Background Premenopausal women have a lower incidence of cardiovascular disease, which may partly be due to a protective effect of estrogen on endothelial function. Animal studies suggest that estrogen may also improve the relationship between shear rate ( SR ) and endothelial function. We aimed to explore the relationship between endothelial function (ie, flow-mediated dilation [ FMD ]) and SR (ie, SR area under the curve [ SRAUC ]) in women versus men, and between pre- versus postmenopausal women. Methods and Results Brachial artery FMD and SRAUC were measured in accordance with expert-consensus guidelines in 932 healthy participants who were stratified into young adults (18-40 years, 389 men, 144 women) and older adults (>40 years, 260 men, 139 women). Second, we compared premenopausal (n=173) and postmenopausal women (n=110). There was evidence of a weak correlation between SRAUC and FMD in all groups but older men, although there was variation in strength of outcomes. Further exploration using interaction terms (age-sex× SRAUC ) in linear regression revealed differential relationships with FMD (young women versus young men [β=-5.8-4, P=0.017] and older women [β=-5.9-4, P=0.049]). The correlation between SRAUC and FMD in premenopausal women ( r2=0.097) was not statistically different from that in postmenopausal women ( r2=0.025; Fisher P=0.30). Subgroup analysis using stringent inclusion criteria for health markers (n=505) confirmed a stronger FMD - SRAUC correlation in young women compared with young men and older women. Conclusions Evidence for a stronger relationship between endothelial function and the eliciting SR stimulus is present in young women compared with men. Estrogen may contribute to this finding, but larger healthy cohorts are required for conclusive outcomes.

Entities:  

Keywords:  endothelial function; estrogen; sex‐specific; shear stress

Mesh:

Year:  2019        PMID: 30764688      PMCID: PMC6405684          DOI: 10.1161/JAHA.118.010994

Source DB:  PubMed          Journal:  J Am Heart Assoc        ISSN: 2047-9980            Impact factor:   5.501


Clinical Perspective

What Is New?

In a sample of 932 individuals we have shown that the correlation between brachial artery flow‐mediated dilation and its eliciting shear rate stimulus was not statistically different between sexes or age groups. Systolic blood pressure was an important factor that influenced flow‐mediated dilation. After repeated analysis using stringent inclusion criteria for blood pressure (n=505), sex‐ and age‐related differences were apparent in the relationship between flow‐mediated dilation and shear rate.

What Are the Clinical Implications?

Shear stress is a hemodynamic stimulus for acute artery vasodilation as well as chronic adaptation and promotes antiatherogenic properties for protection against the development and progression of atherosclerosis. Premenopausal women benefit from the cardioprotective effects of estrogen, which may play a role in increasing sensitivity to a given shear stress stimulus. A stronger relationship between shear stress and artery vasodilation may contribute to the lower incidence of cardiovascular disease observed in premenopausal women, compared with men of similar age and postmenopausal women.

Introduction

Cardiovascular diseases (CVD) remain the world's leading causes of morbidity and mortality in women. The vascular endothelium is responsive to hormonal and hemodynamic stimuli and plays a pivotal role in the development and progression of atherosclerosis.1 Consequently, endothelial dysfunction has been identified as an early biomarker of CVD2, 3 and predictor of future CVD.4, 5, 6 Although the incidence of CVD in women is lower compared with age‐matched men, an increase in CVD‐related mortality in women coincides with the onset of menopause.7 These sex‐related differences in CVD may at least partly relate to differences in endothelial function.8 Interestingly, premenopausal women exhibit enhanced endothelial function, assessed using the flow‐mediated dilation (FMD), compared with men.8, 9, 10, 11 An important physiological characteristic explaining sex differences in endothelial function relates to the sex hormone estrogen. FMD declines markedly in women after menopause,8, 12 and some studies show that FMD follows the fluctuating levels of estrogen across the menstrual cycle.13, 14, 15 The direct vasodilator effects of estrogen may contribute to the larger FMD in premenopausal women. An alternative explanation for sex differences in endothelial function relates to observations in animal studies, which suggest that estrogen improves the vascular responsiveness to changes in shear stress. For example, Huang and colleagues found that female and ovariectomized rats with estrogen replacement show significantly greater dilation in response to a given shear stress than male and ovariectomized rats.16 A stronger relationship between endothelial function and shear stress may therefore contribute to the enhanced endothelial function observed in premenopausal women compared with postmenopausal women and age‐matched men. To date, no study has examined this hypothesis in humans. The purpose of this study was to explore the relationship between endothelial function (measured as FMD) and arterial shear rate (SR, ie, SR area under the curve [SRAUC]) between healthy men and women across the life span and also between pre‐ and postmenopausal women. We hypothesized that the relationship between FMD and its eliciting SR stimulus would be stronger in younger women than in men and that this relationship would be attenuated with older age and postmenopausal status.

Methods

The data that support the findings of this study are available from the corresponding author on reasonable request.

Participants

This study utilized a retrospective design, including studies performed previously in our laboratories. From these studies, we identified 932 healthy individuals who were stratified into young adults (18‐40 years; 389 men, 144 women) and older adults (>40 years; 260 men, 139 women) (Table 1). The cut‐off level of 40 years was chosen on the basis of the increase in CVD incidence after this age17 and is in line with previous research.18 In addition, based on prescreening of menopausal status (postmenopause was defined as at least 1 year without a menstrual cycle/spotting12), subanalysis was performed between premenopausal (n=173) and postmenopausal women (n=110) (Table 2). All participants were nonsmokers, not taking any medication, and free of risk factors and signs or symptoms of cardiovascular or metabolic disease. Premenopausal women were not on any hormone‐based contraception, and postmenopausal women were not on hormone replacement therapy. All participants gave informed consent, and all studies were approved by the local ethics committees of Liverpool John Moores School of Sport and Exercise Science Research Ethics Committee, Radboud University Medical Center, or The University of Western Australia. All work adhered to the Declaration of Helsinki.
Table 1

Subject Characteristics of Participants Divided on the Basis of Sex and Age Into Young Men and Women (18‐40 Years) and Older Men and Women (>40 Years)

Young Adults (18‐40 y)Older Adults (>40 y)ANOVA
WomenMenWomenMenSexAgeSex×Age
n144389139260
Age, y27±625±556±1059±100.535<0.001<0.001
Height, m1.69±0.081.80±0.071.63±0.071.77±0.06<0.001<0.0010.003
Body mass, kg69.6±14.076.3±10.369.7±14.082.9±14.1<0.001<0.001<0.001
BMI, kg/m2 24.6±5.223.6±2.825.5±4.526.1±4.80.130<0.0010.030
SBP, mm Hg113±10120±11124±15127±14<0.001<0.0010.010
DBP, mm Hg68±872±1474±977±9<0.001<0.0010.907
MAP, mm Hg86±1187±1192±1094±10<0.001<0.0010.524
Diameter, mm (rest)3.3±0.54.1±0.63.5±0.54.4±0.6<0.001<0.0010.218
Diameter, mm (peak)3.6±0.54.3±0.63.7±0.54.6±0.6<0.001<0.0010.103
FMD, %7.9±3.96.4±2.75.3±3.34.8±2.3<0.001<0.0010.021
SRAUC (s−1, ×103)23.0±12.020.4±10.721.6±11.019.7±9.00.0030.1750.662
Time to peak, s51±2559±3064±3058±280.5750.0060.002

Values are mean±SD. Comparisons between groups were made using a 2‐way ANOVA with sex and age as factors. BMI indicates body mass index; DBP, diastolic blood pressure; FMD, flow‐mediated dilation; MAP, mean arterial pressure; SBP, systolic blood pressure; SRAUC, shear rate area under the curve.

Table 2

Subject Characteristics of Women Divided on the Basis of Menopausal Status

PremenopausePostmenopause P Value
n173110
Age, y30±859±9<0.001
Height, m1.69±0.081.62±0.07<0.001
Body mass, kg69.6±13.770.0±15.10.938
BMI, kg/m2 24.7±5.126.4±5.00.007
SBP, mm Hg113±10126±14<0.001
DBP, mm Hg74±974±9<0.001
MAP, mm Hg82±890±10<0.001
Baseline diameter, mm3.3±0.53.6±0.5<0.001
Peak diameter, mm3.6±0.53.8±0.60.018
FMD, %7.8±3.94.9±3.1<0.001
SRAUC (s−1, ×103)23.0±11.621.3±11.40.213
Time to peak, s51±2468±32<0.001

Values are mean±SD. P‐value refers to an independent t test. BMI indicates body mass index; DBP, diastolic blood pressure; FMD, flow‐mediated dilation; MAP, mean arterial pressure; SBP, systolic blood pressure; SRAUC, shear rate area under the curve.

Subject Characteristics of Participants Divided on the Basis of Sex and Age Into Young Men and Women (18‐40 Years) and Older Men and Women (>40 Years) Values are mean±SD. Comparisons between groups were made using a 2‐way ANOVA with sex and age as factors. BMI indicates body mass index; DBP, diastolic blood pressure; FMD, flow‐mediated dilation; MAP, mean arterial pressure; SBP, systolic blood pressure; SRAUC, shear rate area under the curve. Subject Characteristics of Women Divided on the Basis of Menopausal Status Values are mean±SD. P‐value refers to an independent t test. BMI indicates body mass index; DBP, diastolic blood pressure; FMD, flow‐mediated dilation; MAP, mean arterial pressure; SBP, systolic blood pressure; SRAUC, shear rate area under the curve.

Brachial Artery FMD

Participants reported to the temperature‐controlled (20°C to 22°C) laboratory on 1 occasion for FMD assessment. In preparation, participants abstained from strenuous exercise for 24 hours and alcohol for 8 hours as well from as any food/caffeine/stimulants for 6 hours before reporting to the laboratory. Following 20 minutes of supine rest, brachial artery diameter was assessed via high‐resolution duplex ultrasound (Terason t3000/u‐smart 3300, Teratech, Burlington, MA; or Siemens Acuson Aspen, Mountain View, CA) with a 7.5‐ to 12‐MHz linear array probe. B‐mode images were obtained and optimized, and Doppler velocity was recorded simultaneously. Expert‐consensus protocol guidelines were followed for the performance of the FMD.19 Briefly, after 1 minute of baseline diameter and flow measurement, an occlusion cuff, connected to a rapid inflator (Hokanson, Bellevue, WA), placed distal to the olecranon process, was inflated to a suprasystolic pressure (>200 mm Hg) for 5 minutes. Brachial artery diameter and flow recordings were resumed 30 seconds before cuff deflation, and FMD was recorded for a further 3 minutes after cuff deflation. All FMD data were analyzed using a specialized custom‐designed edge‐detection and wall‐tracking software, the reproducibility and validity of which have been previously reported.20 This software tracks the vessel walls and blood velocity trace in B‐mode frames via pixel density and frequency distribution algorithm. An optimal region of interest to be analyzed was selected by the sonographer, chosen on the basis of image quality, with a clear distinction between the artery walls and lumen. The FMD was defined as the percentage change in artery diameter from baseline to the peak captured during the 3 minutes following cuff release. The software automatically calculated the relative diameter change, time to peak (following cuff release), and SRAUC.21 SRAUC was calculated as the area under the SR curve between the points of cuff release (manually selected by the sonographer) to peak diameter (determined by the software).19 Despite the initial region of interest selection being operator determined, the remaining analysis was automated and independent of operator bias.

Statistical Analysis

Statistical analyses were performed using SPSS (Version 24, SPSS, Chicago, IL). Pearson correlation coefficient was used to calculate the correlation between FMD and SRAUC across age groups in men and women. This analysis was repeated using the allometrically scaled FMD to correct for baseline artery diameter.22 Fisher r‐to‐z transformation was used to compare the difference between 2 correlation coefficients in the independent groups (ie, sex, age, menopause status). Linear regression analysis was performed to examine the interaction between age‐sex group and SRAUC with FMD as the dependent outcome. Other variables (eg, age, sex, body mass index [BMI], blood pressure) that have been purported to influence SR and/or FMD were also considered in the model. Two‐way ANOVA was also used to examine the differences between sex and age. Independent t tests examined the differences between pre‐ and postmenopausal women. All data were presented as mean± SD unless stated otherwise. Statistical significance was assumed at P<0.05.

Results

Impact of Sex and Age

Older age was associated with lower FMD, and higher body mass, BMI, systolic, diastolic, and mean blood pressure, alongside higher baseline and peak brachial artery diameters (all P<0.05). There was a significant main effect for sex, with women demonstrating a lower height, body mass, systolic, diastolic, and mean blood pressure, baseline diameter, and peak diameter but a higher FMD response and SRAUC (P<0.05; Table 1). A significant interaction effect between age and sex was observed for height, body mass, BMI, systolic blood pressure, FMD response, and time to peak (P<0.05, Table 1). A significant positive correlation between FMD response and SRAUC was evident in young men (r 2=0.042, P<0.001; Figure 1A). Young women also demonstrated a significant correlation between FMD and SRAUC (young women r 2=0.112, P<0.001), which did not significantly differ from that in young men (Fisher P=0.15). The correlation between FMD and SRAUC was nonsignificant in older men (r 2=0.011, P=0.098), whereas older women presented a very weak, but significant correlation (r 2=0.029, P=0.047; Figure 1B). Using the allometrically scaled FMD, we confirmed presence of a correlation in young women (r 2=0.108, P<0.001), and a lower correlation in older women (r 2=0.029, P=0.045), although this difference did not reach statistical significance (Fisher P=0.15). Young and older men did not demonstrate a significant correlation between the allometrically scaled FMD and SRAUC (r 2<0.001 and P=0.662, r 2<0.001 and P=0.779, respectively).
Figure 1

Brachial artery flow‐mediated dilation (FMD; percentage change from baseline) and the eliciting shear rate area under the curve (SRAUC) stimulus (in second−1) in healthy younger (A, total n=533) and older (B, total n=399) adults. In these figures data were presented and analyzed separately for younger men (open circles, n=389) and women (solid circles, n=144), but also for older men (open triangles, n=260) and women (solid triangles, n=139). Pearson's correlation coefficient was used to examine the relationship between the FMD and SRAUC in younger and older women (dotted line) and men (solid line).

Brachial artery flow‐mediated dilation (FMD; percentage change from baseline) and the eliciting shear rate area under the curve (SRAUC) stimulus (in second−1) in healthy younger (A, total n=533) and older (B, total n=399) adults. In these figures data were presented and analyzed separately for younger men (open circles, n=389) and women (solid circles, n=144), but also for older men (open triangles, n=260) and women (solid triangles, n=139). Pearson's correlation coefficient was used to examine the relationship between the FMD and SRAUC in younger and older women (dotted line) and men (solid line). The impact of age, sex, and SRAUC on FMD was investigated further using interaction terms in linear regression. This approach revealed evidence of a differential relationship between sex and age status and SRAUC on subsequent FMD outcomes. More specifically, young women demonstrated a significantly stronger relationship between SRAUC and FMD than young men (β=−5.8−4, P=0.017) and older women (β=−5.9−4, P=0.049). Age did not significantly alter the relationship between SRAUC and FMD in men (β=−2.5−4, P=0.30). Other variables that might contribute to FMD response were also explored in the linear regression model. In addition to age‐sex–SRAUC interactions, FMD is influenced by systolic blood pressure (β=−0.035, P=0.001) but not by diastolic blood pressure (β=0.006, P=0.60) or BMI (β=0.033, P=0.26). Given the systolic blood pressure outcome, we repeated the bivariate correlations in a subset of n=505 who all fell within strict cut‐off values for normal blood pressure (systolic <130 mm Hg, diastolic <80 mm Hg), BMI (<25 kg/m2), and, when available, glucose (<5.6 mmol/L) and cholesterol levels (<4.9 mmol/L). Young men show evidence of a correlation between FMD response and SRAUC (r 2=0.02, P=0.024), but this response was significantly stronger in young women (r 2=0.124, P<0.001, Fisher P=0.05). Older men and women did not show a correlation between FMD and SRAUC (r 2=0.006 and 0.002, respectively, both P>0.05).

Impact of Menopausal Status

Compared with premenopausal women, postmenopausal women demonstrated a higher BMI and blood pressure but lower height and FMD (all P<0.05, Table 2). Premenopausal women demonstrated a significant correlation between FMD and SRAUC (r 2=0.097, P<0.001), although this correlation was not significant after menopause (r 2=0.025, P=0.100, Figure 2, Fisher P=0.19). Using the allometrically scaled FMD, we confirmed these findings in that the correlation with SRAUC in premenopausal women (r 2=0.095, P<0.001) disappeared after menopause (r 2=0.025, P=0.099, Fisher P=0.20). Reanalysis of the correlation coefficients within the subgroup of healthy participants (n=505) confirmed the presence of a correlation between FMD and SRAUC in premenopausal women (r 2=0.09, P=0.001) that was absent in postmenopausal women (r 2=0.006, P=0.73, Fisher P=0.30).
Figure 2

Brachial artery flow‐mediated dilation (FMD; percentage change from baseline) and the eliciting shear rate area under the curve (SRAUC) stimulus (in second−1) in healthy premenopausal women (solid circles, n=173) and postmenopausal women (open circles, n=110). The Pearson correlation coefficient was used to examine the relationship between the FMD and SRAUC in pre‐ (solid line) and postmenopausal women (dotted line).

Brachial artery flow‐mediated dilation (FMD; percentage change from baseline) and the eliciting shear rate area under the curve (SRAUC) stimulus (in second−1) in healthy premenopausal women (solid circles, n=173) and postmenopausal women (open circles, n=110). The Pearson correlation coefficient was used to examine the relationship between the FMD and SRAUC in pre‐ (solid line) and postmenopausal women (dotted line).

Discussion

Our initial analyses were suggestive of sex differences in conduit artery flow‐mediated dilation across the life span. However, given the impact of systolic blood pressure on FMD, we repeated our analysis on a subset of participants following the American Heart Association guidelines for blood pressure.23 This analysis revealed a significantly stronger relationship between FMD and SRAUC in young women compared with young men, and this was attenuated with advancing age. The sex‐related difference and the impact of menopausal status on the relationship between FMD and its eliciting shear stress stimulus suggest that estrogen may play a role in mediating the higher FMD in premenopausal women and, consequently, the reduced risk of CVD in comparison with young men.7 Our work in a large population of 932 healthy individuals confirms previous work on the association between FMD and SR in that a statistically significant correlation is present between endothelial function and the magnitude of the shear stress stimulus. This correlation remained present after the FMD had been corrected for individual differences in baseline diameter and when performed in a subset of healthy individuals (n=505). Given that SRAUC is the eliciting stimulus of the FMD response,24 we would expect to observe a moderate to strong correlation between FMD and SR. However, our data show a somewhat weaker correlation, in general, compared with previous work, especially in men.18 This finding could be attributed to a number of participant characteristics that may lead to a weaker or even absent relationship between FMD and SRAUC (eg, age, CVD risk factors).18, 25 Indeed, the subanalysis performed among individuals with no risk factors revealed a slightly higher r value. In addition, other factors that impact on the FMD response must be acknowledged, such as the response of the vascular smooth muscle cells to dilator signals (we did not assess endothelium‐independent dilation in our studies) and the structural properties of the artery (ie, wall thickness, stiffness, and diameter).26, 27, 28 Also, numerous studies have shown that baseline diameter is a stronger predictor of the FMD response than SRAUC,18, 24, 25, 29, 30 and our scaling of FMD responses to baseline diameter attempted to account for this. In line with some previous observations, we observed sex‐related differences in the relationship between FMD and the eliciting SRAUC stimulus. More specifically, we found that young healthy women demonstrate a stronger correlation between FMD and SRAUC than their male peers, especially in the healthy subgroup. To examine the potential role of estrogen, we performed a subanalysis based on menopausal status and found that the relationship between FMD and SRAUC was absent in postmenopausal women. The potential cardioprotective properties of estrogen have been described before and may relate to upregulated endothelial nitric oxide (NO) synthase activity,31 vasodilator prostacyclin synthase, expression of vascular endothelial growth factor, inhibition of endothelial cell apoptosis, or vascular smooth muscle cell migration and/or proliferation.32, 33 These adaptations likely contribute to changes in vascular health, especially because some studies have shown that the cyclical estrogen levels across the menstrual cycle are mirrored by fluctuations in arterial stiffness34, 35 and endothelial function.13, 14, 15, 34 Some of this work used intrabrachial infusions to examine forearm blood flow responses, an endothelial assessment independent of SR, and confirmed that endothelial function per se fluctuates across the menstrual cycle.14 Studies that utilized FMD found that fluctuations in this variable across the menstrual cycle were independent of changes in the SR stimulus.13, 14, 15, 34 This suggests that these larger FMD responses are explained, at least partly, by enhanced sensitivity of the endothelium to SR. Distinction between levels of estrogen receptors (ERα and ERβ, respectively) may contribute to the relationship between FMD and the SR stimulus in premenopausal women. Estrogen receptors are located within endothelial cells and play an important role in the vasodilator effects of estrogen.36 In animal models, abundance of ERα is linked to higher circulating estrogen levels,37, 38, 39 which are consequently linked to increased NO bioavailability.38, 40 In humans ERα expression was lower in the early follicular phase (ie, low estrogen) and also in postmenopausal women and was positively associated with (phosphorylated) endothelial NO synthase protein expression and brachial artery FMD.41 Indeed, the binding of estrogen to a receptor upregulates NO release, and because shear‐independent dilation also mirrors the menstrual cycle,14 this implies a greater release of NO with higher estrogen abundance. NO possesses a myriad of antiatherogenic properties to protect against the development of CVD42 and is negatively associated with traditional CVD risk factors.43 Given the above evidence, it could be suggested that estrogen receptors mediate the relationship between FMD and shear stress, resulting in greater dilator responses to a given shear stress stimulus. More research is required to explore the mechanisms underlying the FMD‐SRAUC relationships we observed. When exploring the effects of age, we found an attenuated FMD‐SRAUC relationship with advancing age in both men and women, which confirms previous findings.18 Notably, we observed a weak but significant correlation in older women. However, this observation may be attributable to the inclusion of 29 (21%) premenopausal women in the older (over 40 years) group. Our findings therefore provide further evidence that older age impairs the FMD‐SRAUC relationship. Various components of vascular aging, including alterations in blood vessel structure,44, 45 shear patterns,46, 47, 48, 49 and attenuated NO bioavailability,50, 51 may potentially contribute to the age‐related attenuation in the FMD‐SRAUC relationship. Because these processes are also present in women, we may question the relative importance of age (versus estrogen) in the loss of the relationship between FMD and SRAUC in postmenopausal women. Given the more gradual impact of age on these factors compared with the relatively rapid alterations in estrogen, we may hypothesize that the loss of estrogen may represent a stronger factor than age in explaining the loss of the relationship between FMD and SRAUC. Future studies are required to untangle the effects of age and sex on this relationship. A potential lifestyle factor underlying the age‐ and sex‐related differences in the FMD‐SRAUC relationship relates to fitness and/or physical activity levels. It has been well established that physical activity and subsequent fitness are associated with enhanced endothelial function52, 53, 54 among a myriad of other health markers, mediated by the activity‐induced exposure to increases in cyclical shear stress.55 Because studies highlight a trend for declining physical activity levels with advancing age,56, 57 age‐related differences in physical activity may represent a confounding variable in the relationship between FMD and SRAUC. Future studies are warranted to better understand this potential link. The clinical relevance of our findings relates to the importance of changes in shear stress as an important hemodynamic stimulus for acute58, 59 and chronic60, 61 adaptation in vascular function and structure.62 High levels of shear stress have also been linked to the upregulation of antiatherogenic proteins and to the downregulation of proatherogenic substances62, 63, 64 to provide further protection against the development/progression of atherosclerosis. Accordingly, enhanced sensitivity of the endothelium to increases in shear stress (eg, those induced by physical activity) in younger women may contribute to the relatively lower risk for CVD events in this cohort. In addition, such changes may also contribute to impaired ability for remodeling of arteries in response to prolonged periods of changes in shear stress in older women. Importantly, shear stress–mediated changes in endothelial function, for example by exercise training, lead to clinically important improvements in vascular health. Notably, meta‐analyses have concluded that a 1% increase in brachial FMD is associated with 8% to 13% reduction in CVD risk.4, 6, 65

Limitations

First, we do not have data available on estrogen levels, which makes it difficult to directly link our observations to menstrual status and/or to estrogen. Furthermore, we must acknowledge that the timing and duration of menopause may also play a role in mediating the FMD‐SRAUC relationship. However, vigorous eligibility screening for the respective study established menopause status. Furthermore, markers of endothelial activation and/or damage were not available, which may have helped to better explain the age‐related changes in endothelial function and/or the role of shear stress. Another limitation is that data were collected from different laboratories, which may have contributed to some variation. Nonetheless, all laboratories strictly followed expert‐consensus guidelines19 and utilized identical data collection and validated software analysis procedures, which resulted in high reproducibility of FMD.66 In conclusion, a stronger relationship between endothelial function and the eliciting SR stimulus was found in women, compared with men, with this sex difference being attenuated with advancing age in the healthy subgroup. We suggest that endogenous estrogen may play a role in mediating the relationship between SRAUC and FMD. Therefore, the stronger relationship between endothelial function and shear stress (compared with that in men) may contribute to the cardioprotection of young women and subsequent lower prevalence of CVD.

Disclosures

None.
  64 in total

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Authors:  O Kittnar
Journal:  Physiol Res       Date:  2019-12-19       Impact factor: 1.881

5.  Relationship Between Endothelial Function and the Eliciting Shear Stress Stimulus in Women: Changes Across the Lifespan Differ to Men.

Authors:  Sophie M Holder; Áine Brislane; Ellen A Dawson; Nicola D Hopkins; Maria T E Hopman; N Timothy Cable; Helen Jones; Tim H A Schreuder; Victoria S Sprung; Louise Naylor; Andrew Maiorana; Andrew Thompson; Dick H J Thijssen; Daniel J Green
Journal:  J Am Heart Assoc       Date:  2019-02-19       Impact factor: 5.501

6.  Selective deletion of endothelial mineralocorticoid receptor protects from vascular dysfunction in sodium-restricted female mice.

Authors:  Jessica L Faulkner; Emily Lluch; Simone Kennard; Galina Antonova; Iris Z Jaffe; Eric J Belin de Chantemèle
Journal:  Biol Sex Differ       Date:  2020-11-23       Impact factor: 5.027

Review 7.  Sex differences in the blood-brain barrier and neurodegenerative diseases.

Authors:  Callie M Weber; Alisa Morss Clyne
Journal:  APL Bioeng       Date:  2021-03-16

Review 8.  Sex-Specific MicroRNAs in Neurovascular Units in Ischemic Stroke.

Authors:  Barend W Florijn; Roel Bijkerk; Nyika D Kruyt; Anton Jan van Zonneveld; Marieke J H Wermer
Journal:  Int J Mol Sci       Date:  2021-11-02       Impact factor: 5.923

9.  Efficacy of interval exercise training to improve vascular health in sedentary postmenopausal females.

Authors:  Gemma K Lyall; Gurpreet K Birk; Emma Harris; Carrie Ferguson; Kirsten Riches-Suman; Mark T Kearney; Karen E Porter; Karen M Birch
Journal:  Physiol Rep       Date:  2022-08
  9 in total

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