Journal of Applied Physiology Ad Instruments
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
QUICK SEARCH:   [advanced]


     

J Appl Physiol 102: 249-254, 2007. First published September 28, 2006; doi:10.1152/japplphysiol.00240.2006
8750-7587/07 $8.00
This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF) Free
Right arrow All Versions of this Article:
102/1/249    most recent
00240.2006v1
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Web of Science (1)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by O'Leary, D. D.
Right arrow Articles by Hargens, A. R.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by O'Leary, D. D.
Right arrow Articles by Hargens, A. R.

Heterogeneity of responses to orthostatic stress in homozygous twins

D. D. O'Leary,1 R. L. Hughson,2 J. K. Shoemaker,3 D. K. Greaves,2 D. E. Watenpaugh,4 B. R. Macias,5 and A. R. Hargens5

1Department of Community Health Sciences, Brock University, St. Catharines; 2Department of Kinesiology, University of Waterloo, Waterloo; 3School of Kinesiology, University of Western Ontario, London, Ontario, Canada; 4Sleep Consultants, Inc., Fort Worth, Texas; and 5Department of Orthopaedic Surgery, University of California, San Diego, California

Submitted 23 February 2006 ; accepted in final form 20 September 2006


   ABSTRACT
TOP
 ABSTRACT
METHODS
 RESULTS
 DISCUSSION
 GRANTS
 REFERENCES
 
Early analysis into the role of genetics on cardiovascular regulation has been accomplished by comparing blood pressure and heart rate in homozygous twins during unstressed, resting physiological conditions. However, many variables, including cognitive and environmental factors, contribute to the regulation of cardiovascular hemodynamics. Therefore, the purpose of this study was to determine the hemodynamic response of identical twins to an orthostatic stress, ranging from supine rest to presyncope. Heart rate, arterial blood pressure, middle cerebral artery blood velocity, an index of cerebrovascular resistance, cardiac output, total peripheral resistance, and end-tidal carbon dioxide were measured in 16 healthy monozygotic twin pairs. Five minutes of supine resting baseline data were collected, followed by 5 min of 60° head-up tilt. After 5 min of head-up tilt, lower body negative pressure was applied in increments of 10 mmHg every 3 min until the onset of presyncope, at which time the subject was returned to the supine position for a 5-min recovery period. The data indicate that cardiovascular regulation under orthostatic stress demonstrates a significant degree of variance between identical twins, despite similar orthostatic tolerance. As the level of stress increases, so does the difference in the cardiovascular response within a twin pair. The elevated variance with increasing stress may be due to an increase in the role of environmental factors, as the influential role of genetics nears a functional limit. Therefore, although orthostatic tolerance times were very similar between identical twins, the mechanism involved in sustaining cardiovascular function during increasing stress was different.

presyncope; blood pressure; cardiac output; cerebral blood flow; cardiovascular control

ORTHOSTATIC TOLERANCE REFLECTS the effectiveness of integrated reflex cardiovascular control when central blood volume is reduced. These reflex adjustments, including tachycardia and elevated sympathetic vasomotor tone, maintain systemic blood pressure (BP) and, consequently, cerebral perfusion. In acute studies, there is considerable interindividual difference in orthostatic tolerance (29). However, we have reported that, within a given individual, orthostatic capacity varies by <10% on repeated tests separated by several weeks (29). These data suggest a characteristic response for a given individual that may be genetically influenced. There is evidence of plasticity in orthostatic tolerance in healthy individuals (12, 31), suggesting that these reflex responses are not entirely "programmed," but are subject to considerable environmental influences, including level of deconditioning, hydration status, and disease (21, 26, 27). The relative contributions of genetics and other factors remain unclear and may interfere with assessments of how various interventions affect autonomic reflex cardiovascular function.

The genetic basis of BP regulation received preliminary attention by comparing homozygous twins in baseline or unstressed physiological conditions. Specifically, resting levels of arterial BP (ABP) (18, 40), plasma norepinephrine concentration (41), muscle sympathetic nerve activity (39), and central systolic BP (SBP) augmentation (35) all demonstrate a degree of heritability. The heredity estimates for resting ABP have been reported to range between 35 and 67% (38) and 11 and 67% (20), depending on the specific ABP component (systolic, diastolic, or mean), as well as the possible effects of age and gender. Monozygotic twins have higher heritability estimates compared with dizygotic twins (17, 20, 22, 35). Nevertheless, heredity estimates only account for, at most, one-half of resting ABP variability. Moreover, these studies failed to investigate the genetic contributions to ABP regulation when cardiovascular function is challenged across its range of regulatory capacity. As for heart rate (HR), the genetic basis of baseline levels is debatable (5, 10, 13, 14, 17).

In contrast to resting baseline measures, the heritability of BP regulation appears to vary under stressors that elicit pressor responses. In fact, Van den Bree and colleagues (37) suggest that a set of "work" vs. "resting" genes dominate ABP regulation during dynamic bicycle ergometry exercise. A similar phenomenon has been suggested with mental arithmetic (9, 10, 14) and the cold pressor test (5, 9, 14). In contrast, other studies have failed to find a genetic component for ABP reactivity (5, 9, 10), where environmental (i.e., individual habits and experiences, along with the reactions to these experiences) factors appear to be the main determinant of ABP control during handgrip exercise (14). As well, there is controversy regarding the degree to which genetics influences ABP during a predefined orthostatic stress (2, 22, 25). For example, Bielen and colleagues (2) found that the genetic trait attributed to BP regulation was greater in the standing vs. the supine position in monozygotic and dizygotic male twins. In contrast, Hunt et al. (22) observed a reduction in the SBP heritability estimate on going from a sitting to a standing position in both monozygous and dizygous twins.

Therefore, the purpose of this investigation was to determine the cardiovascular and cerebrovascular responses in identical twins across the range of stress between supine rest and presyncope. We tested the hypothesis that the responses and tolerance for orthostatic stress would demonstrate a strong relationship between identical twins, implying a genetic component.


   METHODS
TOP
 ABSTRACT
 METHODS
RESULTS
 DISCUSSION
 GRANTS
 REFERENCES
 
Subjects.   Sixteen healthy monozygotic twin pairs (8 male and 8 female pairs) from across the United States volunteered to participate in this study conducted at the University of California San Diego Medical Center. The average (mean ± SD) age, height, and weight were 27 ± 7 yr, 169 ± 11 cm, and 63 ± 12 kg, respectively. Zygosity was determined by self-report in all subjects. It has been reported that physical appearance similarity criteria yields a diagnoses in agreement with blood genotyping ~95% of the time (11, 30). To confirm, zygosity was further determined in seven twin pairs using DNA polymorphism analysis for short tandem repeat markers, D3 S1358, vWA, D16 S539, D2 S1338, D8 S1179, D21S11, D18 S51, D19 S433, Tho1, and FGA. The subject's DNA was obtained using a cheek swab kit. All seven twin pairs were deemed identical. Subjects were not hypertensive, did not suffer from diabetes or cardiovascular disease, and were not on any medication known to alter cardiovascular function. To minimize sex hormone fluctuations, all female twin pairs were placed on the same birth control medication of their choice 1 mo before data collection. All participants provided written, informed consent to participate. This research was approved by the University of California San Diego and NASA-Johnson Space Center, Houston, Texas, review boards.

Measurements.   HR was collected using a standard three-lead electrocardiogram. Noninvasive SBP, diastolic BP (DBP), and mean ABPs (MAP) were continuously collected (servo off) from a finger on the right hand, positioned at heart level using a Finapres (model 2300, Ohmeda). Finapres measurements have been shown to accurately represent and track beat-by-beat BP during rest and orthostatic stress (23, 24). Finger BP estimates were adjusted to manual brachial artery sphygmomanometry measures during supine rest. Care was taken to ensure that the Finapres BP values did not drift throughout the testing procedure by comparing these values to manually obtained values throughout the course of the test. Transcranial pulsed-wave Doppler ultrasound (2 MHz probe; Transpect TCD, Medasonics) was used to measure middle cerebral artery mean blood flow velocity (MFV) on a beat-by-beat basis, which has been shown to be a valid means of measuring MFV (28, 33). Similarly, pulsed-wave Doppler ultrasound (2-MHz probe; Multiflow DWL, Elektronicsche Systeme Doppler) was used to obtain stroke volume velocity using the suprasternal notch approach. B-mode echo imaging of the aorta was performed (Sonos 5500, HP), allowing measurement of aortic root diameter in systole. By combining stroke volume velocity and diameter with changes in cardiac cycle, cardiac output (Q) was calculated. An index of cerebrovascular resistance (CVRi) was also calculated as the quotient of MAP adjusted for eye level (MAPeye) and middle cerebral artery MFV. Total peripheral resistance (TPR) was calculated as MAP/Q. End-tidal carbon dioxide (ETCO2) was measured from a nasal cannula (CO2 Monitor, Ohmeda 5200) and adjusted for BTPS.

Experimental protocol.   Subjects arrived several days before the initial testing session for dietary stabilization and familiarization with the surroundings and all procedures. For comparison purposes, members of each twin pair were randomly assigned as twin 1 and twin 2. On the test day, subjects had a catheter placed in their right antecubital vein, and they ate a defined meal at least 2-h before testing. The order in which a twin was tested was randomly determined by using the alphabetic order of the twin pairs names. A given twin pair was tested in either the morning or afternoon.

Each twin was placed supine inside a lower body negative pressure (LBNP) chamber positioned on a tilt table. The various data collection instruments were then placed on the subject. After at least 30 min of supine rest, 5 min of baseline data were collected, followed by 5 min of 60° head-up tilt (HUT). After 5 min of HUT, LBNP at 10 mmHg was applied for 3 min, followed every 3 min by an increase in LBNP of 10 mmHg until the onset of presyncope, at which time LBNP was stopped and the subject was returned to the supine position for a 5-min recovery period. At each stage of the protocol, subjects were asked to report their symptoms (i.e., nausea, sweatiness, tunnel vision, and limb numbness or pain) on a scale from 1 to 10. Presyncope, or termination of the test, was defined as follows: 1) a sudden drop in BP (SBP > 25 mmHg and DBP > 15 mmHg); 2) a sudden drop in HR (>15 beats/min); 3) sudden or extreme subject nausea, clammy skin, sweating, or pallor of the skin; 4) upon subject's request; 5) SBP < 70 mmHg; 6) significant cardiac arrhythmias; or 7) loss of ECG signal.

Data analysis.   Data were recorded in real time on digital format tape (Teac RD-111T Data Recorder) and then transferred to a computer at 100 Hz for analysis, except for the ECG signal, which was sampled at 1,000 Hz. R-wave-R-wave interval was taken as the time between successive R-waves, while HR was computed as the inverse. The average response for each variable was taken from the last 60 s of beat-by-beat data in each protocol stage. However, at presyncope, a 10-s average was used to provide a clearer estimate of rapidly changing events. Orthostatic tolerance time was measured from the onset of HUT until the cessation of HUT + LBNP, when the subject was returned to the supine position for recovery.

Statistics.   Paired t-tests were used to assess weight, height, and orthostatic tolerance times between randomly assigned twin groups. The effect of tilt phase on the measured variables across all subjects was assessed using a repeated-measures one-way analysis of variance (SAS version 9.1). Relationships between the responses from each twin pair across the consecutive levels of the tilt test were assessed in two manners. First, a general view of how the twin pairs were related was assessed using least squares linear regression analysis of paired data for each variable and level of the orthostatic tilt test, with emphasis on the slope of the relationship and how this was similar to, or deviated from, the line of unity. Subsequently, Bland-Altman analysis (1, 3) was performed to assess the difference scores between the twin pairs (twin 1-twin 2) for each variable at each level of the tilt test. In particular, we were interested in the bias and the degree of error that might be involved, if it was assumed that the two twins responded identically. The bias was determined as the mean of the difference between the twin pairs for each tilt test level. Error was defined as the standard deviation of the difference in scores. Subsequently, an error coefficient was calculated as the error divided by the mean value at a particular level of the tilt test. Unfortunately, technical difficulties arose with the LBNP protocol where destructive interference waves were introduced into the stroke volume velocity Doppler ultrasound signal. Therefore, Q and TPR were determined only during supine rest and 60° HUT in 10 twin pairs. Cerebral blood flow and CVRi were obtained in 15 of the 16 twin pairs at various time points, whereas all other variables were obtained in all twin pairs during each study phase. The level of statistical probability was set at P < 0.05, and all data are reported as means ± SE, unless otherwise stated.


   RESULTS
TOP
 ABSTRACT
 METHODS
 RESULTS
DISCUSSION
 GRANTS
 REFERENCES
 
Mean data analysis.   There were no significant differences in height, weight, or age between the two twin groups (P > 0.2). Compared with supine, the normotensive components of the tilt test (i.e., before presyncope) were characterized by increased HR and TPR, unchanged MAP, and decreases in ETCO2, middle cerebral artery MFV, CVRi, and Q (Table 1: all P < 0.05). At presyncope, middle cerebral artery MFV, MAP, MAPeye, and ETCO2 were reduced below levels measured at all prior time points, whereas CVRi was lower at presyncope compared with baseline only. In contrast, HR at presyncope was greater than supine baseline and HUT+LBNP periods (P < 0.05; Table 1). Average orthostatic tilt tolerance time was 954 ± 65 and 893 ± 70 s for twin 1 and twin 2 groups, respectively (P = 0.08). Figure 1 demonstrates both the linear regression and Bland-Altman plots for individual tilt tolerance times between each twin pair. The slope and coefficient of the regression relationship were both strong. Moreover, the difference scores varied within ±2 SD of the mean, suggesting similarity between twins (4).


View this table:
[in this window]
[in a new window]

  		Table 1. Mean data during each level of the orthostatic tolerance test

 

Figure 1
View larger version (9K):
[in this window]
[in a new window]

  		Fig. 1. Linear regression analysis (top) of tilt tolerance times (seconds) and the corresponding Bland-Altman plot (bottom).

 
Hemodynamic variables: linear regression and Bland-Altman analysis.   As an example, Figure 2 demonstrates the linear regression analysis and the Bland-Altman plots for MAPeye comparisons across twin pairs at each level of the tilt test. Visually, the linear regression analysis demonstrates that the slope of this relationship varies from one level of the test to another and often varies importantly from unity. Similarly, the Bland-Altman plots depict a varying degree of variability in the consecutive tilt-test periods. Table 2 presents the regression slope and coefficient values for each variable across the test levels and illustrates that the degree of similarity between twin pairs is highly variable in this protocol. For example, slope values of MAPeye comparing twin 1 to twin 2 ranged from 0.32 to 0.97 and rarely corresponded to unity. Table 3 outlines the Bland-Altman bias and error estimates for each stress level. The bias estimates were relatively consistent and small over time, indicating little or no systematic difference in the twin pair responses. The error estimate tended to increase as the tilt test progressed. This increase in variability with progressive orthostatic stress to presynocpe is particularly evident in the error coefficient, when the degree of variability is assessed relative to the mean overall level of a particular variable. This pattern is replicated for all variables.


Figure 2
View larger version (18K):
[in this window]
[in a new window]

  		Fig. 2. Least square linear regression analysis (A) and Bland-Altman plots (B) for mean arterial blood pressure at eye level (mmHg) at each level of the orthostatic tolerance test. Symbols in A each represent a twin pair. HUT, head-up tilt; All Conditions, entire orthostatic tolerance test.

 

View this table:
[in this window]
[in a new window]

  		Table 2. Least square linear regression coefficient of determination and slope at each level of orthostatic stress

 

View this table:
[in this window]
[in a new window]

  		Table 3. Bland-Altman bias, error, and error coefficient estimates for each level of orthostatic stress

 

   DISCUSSION
TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
GRANTS
 REFERENCES
 
The main finding of the present study was that, in general, hemodynamic variables were moderately related in homozygous twin pairs while supine, but became progressively less similar as level of orthostatic stress increased. Nonetheless, the time to presyncope was very similar in the twin pairs. Thus, while orthostatic capacity per se appears to be quite similar, the mechanism(s) by which that tolerance was achieved varied in the twin pairs.

The physiological response of the twin pairs to combined HUT+LBNP (Table 1) mirrors that previously reported in young, healthy individuals (15, 29, 32). LeLorier et al. (29) used a similar protocol of HUT+LBNP to induce presyncope. They reported HR to increase throughout the entire protocol, while middle cerebral artery MFV and ETCO2 decreased, with the largest change occurring at presyncope. SBP did not change until the onset of presyncope, where it significantly decreased (29). Their observations were similar to those of the present study using identical twins (Table 1). However, one major difference was the slightly longer average time to presyncope and larger tilt tolerance time variability between subjects in their study. These observational differences could be the result of differences in testing protocol, such as longer data collection periods (5 min vs. 3 min) at each level of LBNP (29). Subjects in this study were introduced to higher levels of LBNP more quickly. Quicker transitions to higher orthostatic stress levels could have impacted orthostatic adaptation and tolerance. In addition, the fact that identical twins are genetically the same and were compared on the same day at relatively the same time, compared with repeating the tests in the same subjects 1 mo apart, could have played a major role in reducing tolerance time variability.

In addition to morphometric measures of body height, weight, and body mass index (2, 13, 16, 19, 22), heritability appears to determine a large degree of variation in resting ABP (18, 38, 40), HR (14), sympathetic nerve activity (39), and plasma norepinephrine concentration (41). HR variability (6, 34), arterial compliance (35), and baroreflex function (36) have also been reported to be genetically influenced. However, heritability estimates are often <60%. Such estimates are consistent with the present findings, where coefficient of determination values ranged from 0.3 to 0.71 for MFV, CVRi, HR, and MAPeye during supine rest.

Many factors, including spontaneous cognitive aspects and environmental influences, contribute to supine or resting hemodynamic variables. Therefore, a more thorough assessment of genetic influence on cardiovascular function should incorporate a degree or range of stress. In the present study, the stress was applied progressively to maximal tolerance to assess similarities or dissimilarities between twin pairs. With this approach, it was observed that the apparent similarities between the twin pairs regarding baseline or resting cardiovascular function deteriorates under progressive levels of orthostatic stress. This conclusion is supported by previous data from Hunt and colleagues (22), who reported rather low intraclass correlation values for ABP in monozygotic twins, ranging between 0.14 and 0.5 for sitting, standing, arithmetic, bicycle, and static handgrip exercise protocols. Of note, these authors observed that orthostasis reduced heritability estimates, derived from the intraclass correlation coefficients, for SBP in monozygotic twins when adjusted for age and environment (22).

The above discussion pertains to the majority of variables assessed in this study. However, it is noteworthy that the variability of HR and CVRi between twin pairs remained fairly consistent throughout the orthostatic test. This result supports an earlier finding that the intrapair similarity for HR increased on going to an upright posture (2). The mechanism for these divergent results is not clear and may include neural and end-organ controls.

The lack of similarity in twin responses during stress suggests that the neural, cardiac, and vascular mechanisms that are engaged to control BP during orthostasis are malleable and sensitive to environmental stimuli. Certainly, cardiovascular deconditioning, such as occurs in exposure to real or simulated microgravity, results in altered BP regulation and one or more of neural, cardiac, and/or vascular end points. These twins were not consistently engaged in identical lifestyles. Therefore, the heterogeneity in the identical twins might be explained by the propensity of integrated mechanisms for BP regulation to be sensitive to environmental influences. The rapid changes that can occur in orthostatic tolerance (7, 8) are further evidence of the important environmental influence on BP regulatory systems. The present data, therefore, indicate that such malleability of orthostatic tolerance in healthy individuals undergoing bed rest or space flight is less influenced by genetics than other predispositions to adaptation. However, the role of genetics in such adaptability requires further study.

Limitations.   Both males and females were included in this study. However, sex-dependent differences were not the focus of our study, and, based on earlier results, it is not expected that heritability estimates for ABP reflect a strong gender basis (20). Age reportedly affects the heritability of some cardiovascular indexes (e.g., SBP) in some (38), but not all, studies (20). Nonetheless, this potential impact should not have factored importantly in the present analysis because of the relatively narrow age range of the volunteers. Twenty-four-hour variations in ABP and heritability estimates have been demonstrated (13, 16). However, this too should not have impacted on the within-twin pair variability, as both individuals were tested in either the morning or afternoon sessions. In support of this, there is no indication in the bias estimates of difference scores of a systematic or directional impact of twin 1 or twin 2. Finally, the level of fitness and/or physical activity patterns may affect orthostatic tolerance (42). Although reports of physical activity patterns were not assessed in the present study, measures of actual physical fitness (which will encompass all physical activity patterns) were not different between twin pairs.

In conclusion, the combined data indicate a higher than expected level of variance between identical twins with respect to both cardiovascular and cerebrovascular responses to a stress. The elevated variance with increasing stress may be due to an increase in the role of environmental factors (2, 37) as a genetic component nears a functional limit. Thus, although orthostatic tolerance times were similar within a twin pair, the mechanism involved in sustaining cardiovascular/cerebrovascular function was not.


   GRANTS
TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 GRANTS
REFERENCES
 
The study was supported by National Aeronautics and Space Administration Grant NAG 9–1425 (A. R. Hargens), by the Natural Sciences and Engineering Research Council of Canada (K. Shoemaker), the Heart and Stroke Foundation of Ontario (T4972, R. L. Hughson), and the Canadian Space Agency (9F007–033004/001/ST). D. D. O'Leary was supported by a postdoctoral research fellowship funded by a partnership between the Heart and Stroke Foundation of Canada and the Canadian Institutes of Health Research.


   FOOTNOTES
 

Address for reprint requests and other correspondence: D. D. O'Leary, Dept. of Community Health Sciences, Rm. ASB 325, Brock Univ., St. Catharines, Ontario, Canada L2S 3A1 (e-mail: doleary{at}brocku.ca)

The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.


   REFERENCES
TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 GRANTS
 REFERENCES
 

  1. Altman DG and Bland JM. Measurement in medicine: the analysis of method comparison studies. Statistician 32: 307–317, 1983.[CrossRef][Web of Science]
  2. Bielen EC, Fagard RH, and Amery AK. Inheritance of blood pressure and haemodynamic phenotypes measured at rest and during supine dynamic exercise. J Hypertens 9: 655–663, 1991.[CrossRef][Web of Science][Medline]
  3. Bland JM and Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1: 307–310, 1986.[CrossRef][Web of Science][Medline]
  4. British Standards Institution. Precision of Test Methods. Part 1: Guide for the Determination of Repeatability and Reproducibility for a Standard Test Method. London: British Standards Institution, 1979, BS5497, 1979.
  5. Busjahn A, Faulhaber H, Viken RJ, Rose RJ, and Luft FC. Genetic influences on blood pressure with the cold-pressor test: a twin study. J Hypertens 14: 1195–1199, 1996.[CrossRef][Web of Science][Medline]
  6. Busjahn A, Voss A, Knoblauch H, Knoblauch M, Jeschke E, Wessel N, Bohlender J, McCarron J, Faulhaber H, Schuster H, Dietz R, and Luft FC. Angiotensin-converting enzyme and angiotensinogen gene polymorphisms and heart rate variability in twins. Am J Cardiol 81: 755–760, 1998.[CrossRef][Web of Science][Medline]
  7. Butler GC, Xing HC, and Hughson RL. Cardiovascular response to 4 hours of 6° head-down tilt or 30° head-up tilt bed rest. Aviat Space Environ Med 61: 240–246, 1990.[Medline]
  8. Butler GC, Xing HC, Northey DR, and Hughson RL. Reduced orthostatic tolerance following 4 h head-down tilt. Eur J Appl Physiol 62: 26–30, 1991.[CrossRef][Web of Science]
  9. Carmelli D, Chesney MA, Ward MM, and Rosenman RH. Twin similarity in cardiovascular stress response. Health Psychol 4: 413–423, 1985.[CrossRef][Web of Science][Medline]
  10. Carmelli D, Ward MM, Reed T, Grim CE, Harshfield GA, and Fabsitz RR. Genetic effects on cardiovascular responses to cold and mental activity in late adulthood. Am J Hypertens 4: 239–244, 1991.[Web of Science][Medline]
  11. Cohen DJ, Dibble E, Grawe JM, and Pollin W. Separating identical from fraternal twins. Arch Gen Psychiatry 29: 465–469, 1973.[Abstract/Free Full Text]
  12. Custaud MA, de Souza Neto EP, Abry P, Flandrin P, Millet C, Duvareille M, Fortrat JO, and Gharib C. Orthostatic tolerance and spontaneous baroreflex sensitivity in men versus women after 7 days of head-down bed rest. Auton Neurosci 100: 66–76, 2002.[CrossRef][Web of Science][Medline]
  13. Degaute J, Van Cauter E, van de Borne P, and Linkowski P. Twenty-four-hour blood pressure and heart rate profiles in humans: a twin study. Hypertension 23: 244–253, 1994.[Abstract/Free Full Text]
  14. Ditto B. Familial influences on heart rate, blood pressure, and self-report anxiety responses to stress: results from 100 twin pairs. Psychophysiology 30: 635–645, 1993.[Web of Science][Medline]
  15. El-Bedawi KM and Hainsworth R. Combined head-up tilt and lower body negative suction: a test of orthostatic tolerance. Clin Auton Res 4: 41–47, 1994.[CrossRef][Medline]
  16. Fagard R, Brguljan J, Staessen J, Thijs L, Derom C, Thomis M, and Vlietnck R. Heritability of conventional and ambulatory blood pressures: a study in twins. Hypertension 26: 919–924, 1995.[Abstract/Free Full Text]
  17. Havlik RJ, Garrison RJ, Fabsitz R, and Feinleib M. Variability of heart rate, P-R, QRS and Q-T durations in twins. J Electrocardiol 13: 45–48, 1980.[CrossRef][Web of Science][Medline]
  18. Havlik RJ, Garrison RJ, Feinleib M, Kannel WB, Castelli WP, and McNamara PM. Blood pressure aggregation in families. Am J Epidemiol 110: 304–312, 1979.[Abstract/Free Full Text]
  19. Herrington DM. Hormone replacement therapy and heart disease: replacing dogma with data. Circulation 107: 2–4, 2003.
  20. Hong Y, de Faire U, Heller DA, McClearn GE, and Pedersen N. Genetic and environmental influences on blood pressure in elderly twins. Hypertension 24: 663–670, 1994.[Abstract/Free Full Text]
  21. Hughson RL, Maillet A, Gharib C, Fortrat JO, Yamamoto Y, Pavy-Letraon A, Rivière D, and Güell A. Reduced spontaneous baroreflex response slope during lower body negative pressure after 28 days of head-down bed rest. J Appl Physiol 77: 69–77, 1994.[Abstract/Free Full Text]
  22. Hunt SC, Hasstedt SJ, Kuida H, Stults BM, Hopkins PN, and Williams RR. Genetic heritability and common environmental components of resting and stressed blood pressures, lipids, and body mass index in Utah pedigrees and twins. Am J Epidemiol 129: 625–638, 1989.[Abstract/Free Full Text]
  23. Imholz BPM, Settels JJ, van der Meiracker AH, Wesseling KH, and Wieling W. Non-invasive continuous finger blood pressure measurement during orthostatic stress compared to intra-arterial pressure. Cardiovasc Res 24: 214–221, 1990.[Abstract/Free Full Text]
  24. Jellema WT, Imholz BPM, Van Goudoever J, Wesseling KH, and Van Lieshout JJ. Finger arterial versus intrabrachial pressure and continuous cardiac output during head-up tilt testing in healthy subjects. Clin Sci (Lond) 91: 193–200, 1996.[Medline]
  25. Jordan J, Shannon JR, Jacob G, Pohar B, and Robertson D. Interaction of genetic predisposition and environmental factors in the pathogenesis of idiopathic orthostatic intolerance. Am J Med Sci 318: 298–303, 1999.[CrossRef][Web of Science][Medline]
  26. Katsube Y, Sato H, Naka M, Kim BH, Kinoshita N, Koretsune Y, and Hori M. Decreased baroreflex sensitivity in patients with stable coronary artery disease is correlated with the severity of coronary narrowing. Am J Cardiol 78: 1007–1010, 1996.[CrossRef][Web of Science][Medline]
  27. Kimmerly DS and Shoemaker JK. Hypovolemia and neurovascular control during orthostatic stress. Am J Physiol Heart Circ Physiol 282: H645–H655, 2002.[Abstract/Free Full Text]
  28. Larsen FS, Olsen KS, Hansen BA, Paulson OB, and Knudsen GM. Transcranial Doppler is valid for determination of the lower limit of cerebral blood flow. Stroke 25: 1985–1988, 1994.[Abstract]
  29. LeLorier P, Klein GJ, Krahn A, Yee R, and Shoemaker JK. Combined head-up tilt and lower body negative pressure as an experimental model of orthostatic syncope. J Cardiovasc Electrophysiol 14: 920–924, 2003.[CrossRef][Medline]
  30. Nichols RC and Bilbro WC. The diagnosis of twin zygosity. Acta Gene Stat Med 16: 265–275, 1966.
  31. Schneider SM, Watenpaugh DE, Lee SM, Ertl AC, Williams WJ, Ballard RE, and Hargens AR. Lower-body negative-pressure exercise and bed-rest-mediated orthostatic intolerance. Med Sci Sports Exerc 34: 1446–1453, 2002.
  32. Serrador JM, Hughson RL, Kowalchuk JM, Bondar RL, and Gelb AW. Cerebral blood flow during orthostasis: role of arterial CO2. Am J Physiol Regul Integr Comp Physiol 290: R1087–R1093, 2006.[Abstract/Free Full Text]
  33. Serrador JM, Picot PA, Rutt BK, Shoemaker JK, and Bondar RL. MRI measures of MCA diameter in conscious humans during simulated orthostasis. Stroke 31: 1672–1678, 2000.[Abstract/Free Full Text]
  34. Singh JP, Larson MG, O'Donnell CJ, Tsuji H, Evans JC, and Levy D. Heritability of heart rate variability: the Framingham Heart Study. Circulation 99: 2251–2254, 1999.
  35. Snieder H, Hayward CS, Perks U, Kelly RP, Kelly PJ, and Spector TD. Heritability of central systolic pressure augmentation: a twin study. Hypertension 35: 574–579, 2000.[Abstract/Free Full Text]
  36. Tank J, Jordan J, Diedrich A, Stoffels M, Franke G, Faulhaber H, Luft FC, and Busjahn A. Genetic influences on baroreflex function in normal twins. Hypertension 37: 907–910, 2001.[Abstract/Free Full Text]
  37. van den Bree MBM, Schieken RM, Moskowitz wB, and Eaves LJ. Genetic regulation of hemodynamic variables during dynamic exercise: the MVC twin study. Circulation 94: 1864–1869, 1996.
  38. Vinck WJ, Fagard RH, Loos R, and Vlietinck R. The impact of genetic and environmental influences on blood pressure variance across age-groups. J Hypertens 19: 1007–1013, 2001.[CrossRef][Web of Science][Medline]
  39. Wallin BG, Kunimoto MM, and Sellgren J. Possible genetic influence on the strength of human muscle nerve sympathetic activity at rest. Hypertension 22: 282–284, 1993.[Abstract/Free Full Text]
  40. Weinberg R, Shear CL, Avet LM, Frerichs RR, and Fox M. Path analysis of environmental and gentic influences on blood pressure. Am J Epidemiol 109: 588–596, 1979.[Abstract/Free Full Text]
  41. Williams PD, Puddey IB, Beilin LJ, and Vandongen R. Genetic influences on plasma catecholamines in human twins. J Clin Endrocrinol Metab 77: 794–799, 1993.[Abstract]
  42. Zhang LF, Zheng J, Wang SY, Zhang ZY, and Liu C. Effect of aerobic training on orthostatic tolerance, circulatory response, and heart rate dynamics. Aviat Space Environ Med 70: 975–982, 1999.[Medline]



This article has been cited by other articles:


Home page
 EuropaceHome page
L. R.A. Olde Nordkamp, W. Wieling, A. H. Zwinderman, A. A.M. Wilde, and N. van Dijk
Genetic aspects of vasovagal syncope: a systematic review of current evidence
Europace, April 1, 2009; 11(4): 414 - 420.
[Abstract] [Full Text] [PDF]

Home page
 EuropaceHome page
G. Fuca, M. Dinelli, L. Gianfranchi, S. Bressan, C. Lamborghini, and P. Alboni
Do subjects with vasovagal syncope have subtle haemodynamic alterations during orthostatic stress?
Europace, June 1, 2008; 10(6): 751 - 759.
[Abstract] [Full Text] [PDF]

Home page
 J. Appl. Physiol.Home page
D. E. Watenpaugh, D. D. O'Leary, S. M. Schneider, S. M. C. Lee, B. R. Macias, K. Tanaka, R. L. Hughson, and A. R. Hargens
Lower body negative pressure exercise plus brief postexercise lower body negative pressure improve post-bed rest orthostatic tolerance
J Appl Physiol, December 1, 2007; 103(6): 1964 - 1972.
[Abstract] [Full Text] [PDF]

This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF) Free
Right arrow All Versions of this Article:
102/1/249    most recent
00240.2006v1
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Web of Science (1)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by O'Leary, D. D.
Right arrow Articles by Hargens, A. R.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by O'Leary, D. D.
Right arrow Articles by Hargens, A. R.

HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Visit Other APS Journals Online
Copyright © 2007 by the American Physiological Society.