|
|
||||||||
1 Department of Public Health and General Practice, Faculty of Medicine, University of Kuopio, FIN-70211 Kuopio; and 2 Department of Epidemiology and Health Promotion, National Public Health Institute, and 3 Department of Public Health, University of Helsinki, FIN-00014 Helsinki, Finland
| |
ABSTRACT |
|---|
|
|
|---|
The study evaluated the
association of the insertion/deletion polymorphism of the
angiotensin-converting enzyme gene (ACE I/D) with self-reported
moderate-intensity leisure time physical activity (MILTPA), arterial
blood pressure (BP) and history of hypertension (HT). A representative
population-based sample of 721 middle-aged adults (358 women) from two
areas of Finland was genotyped for the ACE I/D. After exclusion
criteria were applied, 455 subjects (288 women) were selected for the
analysis. The distribution of the ACE I/D genotypes did not differ
significantly among frequent vs. nonfrequent MILTPA groups
(
2 = 2.556; df = 2; P value = 0.279). The main predictors of BP were male gender, age, body mass
index, and arterial pulse. Additionally, tobacco smoking and alcohol
consumption also had a significant main effect on diastolic BP. HT was
significantly more frequent in subjects with obesity, family history of
cardiovascular disease, or lower educational level. As for BP, neither
ACE I/D nor MILTPA was associated with HT. The study confirmed recent
reports from population-based studies of no association between ACE I/D
and physical fitness. The study also confirmed a lack of association between ACE I/D and BP or HT.
polymorphism; leisure time; exercise; fitness; association
| |
INTRODUCTION |
|---|
|
|
|---|
EPIDEMIOLOGICAL RESEARCH has shown that regular physical activity has protective effects for several chronic diseases, including coronary heart disease (CHD), hypertension (HT), non-insulin-dependent diabetes mellitus, and osteoporosis, whereas low levels of physical fitness are associated with increased all-causes mortality rates (21). The angiotensin-converting enzyme (ACE) plays an important role in cardiovascular homeostasis through angiotensin II formation and bradykinin inactivation (33). It has been shown that an insertion (I)/deletion (D) polymorphism of the ACE gene (ACE I/D) accounts for half of the phenotypic variance of serum ACE (26, 31) and that the ACE/DD genotype, which is associated with higher levels of serum ACE, is also a risk factor for myocardial infarction, especially in subjects normally considered to be at low risk (3). Recent reports additionally suggest that the ACE I/D may be associated to the anabolic response and the left ventricular growth induced by physical training (15-17, 36), maximal oxygen consumption (10), and elite athletic performance (1, 7, 18). Thus it could be possible that, given an ACE I/D genotype, subjects might be more likely to become physically active during adulthood. The aims of this study were to evaluate the association of the ACE I/D with self-reported moderate-intensity leisure time physical activity (MILTPA), arterial blood pressure (BP), and history of HT in a population-based sample of Finnish middle-aged adults participants of the 1992 FINRISK survey.
| |
METHODS |
|---|
|
|
|---|
The World Health Organization (WHO) initiated the MONICA Project (Multinational Monitoring of Trends and Determinants in Cardiovascular Disease) in 1982 to assess the extent to which trends in CHD and cardiovascular disease (CVD) are related to changes in known risk factors. FINMONICA (renamed FINRISK from 1992 onward) was the Finnish part of this project, which included the provinces of North Karelia and Kuopio in eastern Finland and the region of Turku-Loimaa in southwestern Finland. This study presents results based on the sample of the FINRISK survey carried out in 1992. In that survey, a random sample was chosen from the national population register with an age range of 25-64 yr. The sample was stratified so that at least 250 persons for each gender and 10-yr age group were chosen in the areas. The total number of respondents was 6,051 (3,202 women), and the participation rate ranged from 72% in men to 81% in women. A representative subsample of 357 participants (176 women) from the region of North Karelia and 364 participants (182 women) from the region of Turku-Loimaa was drawn among participants aged 35-64 yr to undergo ACE I/D genotyping. Subjects who reported to be 55 yr or older and/or to be unable to practice leisure time physical activity (LTPA) because of disease or disability and/or to have angina pectoris/heart failure/rheumatoid arthritis and/or to be pregnant were excluded from this study. Altogether, 266 subjects (130 women) were excluded, leaving 455 participants (288 women) available for the analysis. The 1992 FINRISK survey followed the WHO MONICA project protocol, including a self-administrated questionnaire on socioeconomic status, health status, and lifestyles; blood sampling; and physical measurements (19). MILTPA was defined as the practice of at least 20-30 min of physical exercise during leisure time so that the person is at least a little out of breath and sweating. It was assessed through the following question: How often do you practice physical exercise during leisure time for at least 20-30 min so that you are a little out of breath and sweating? The possible answers to this question were: 1) daily, 2) 2-3 times a week, 3) once a week, 4) 2-3 times a month, 5) few times a year or less, 6) I can't do it because of disease or disability. Subjects who answered 1 or 2 were classified as having frequent MILTPA. Subjects who answered 3, 4, or 5 were classified as having nonfrequent MILTPA, and those who answered 6 were excluded from the study. Weight was measured with subjects dressed in light indoor clothes without shoes by use of a digital scale with an accuracy of 0.1 kg. Height was measured by stadiometer of barefoot subjects with an accuracy of 0.1 cm. Body mass index (BMI) was calculated as weight (kg) divided by the square of height (m). BP was measured twice on the right arm of subjects in a sitting position after 5 min of rest by using a mercury sphygmomanometer with an accuracy of 2 mmHg. The cuff bladder used for the measurements was 13 cm wide and 42 cm long. Systolic BP (SBP) and diastolic BP (DBP) were recorded at the first and fifth phases of Korotkoff sounds, respectively. The average of the two measurements was used in the analysis. BP measurements were taken by a small number of well-trained nurses who were rotated between the study areas at regular intervals. Serum total cholesterol, high-density lipoprotein cholesterol, and triglycerides (CHOD-PAP Monotest, Boehringer Mannheim, Germany) were measured enzymatically in fresh serum samples by use of a Stasar III photometer (Gilford Instrument Laboratories, Oberlin, OH) after a minimum 4-h fasting period. DNA was extracted from EDTA-anti-coagulated whole blood in accordance with standard procedures. ACE I/D genotyping was carried out as previously described by Perola et al. (22). ACE I/D genotypes were in Hardy-Weinberg equilibrium in both subsamples.
The association of ACE I/D with MILTPA was evaluated through
2 test. To account for the possible effect of
confounders, an adjusted
2 test was obtained by using a
multinomial logistic regression model in which MILTPA was included as
the dependent variable; ACE I/D was included as the main factor; and
living area, gender, age group, educational level, obesity status,
tobacco smoking, alcohol consumption, and family history of CVD were
included as covariates. The main predictors of SBP, DBP, and arterial
pulse were evaluated through a linear regression model in which, for example, SBP was included as the dependent variable and living area,
gender, age, BMI, educational level, arterial pulse, tobacco smoking,
alcohol consumption, ACE I/D, and MILTPA were included as independent
variables by the enter method. In this analysis, subjects under HT drug
treatment were excluded from the analysis (n = 33). The
main predictors of HT were also evaluated through a multinomial
logistic regression model in which HT was included as the dependent
variable; ACE I/D and MILTPA were included as the main factors; and
living area, gender, age group, educational level, obesity status,
tobacco smoking, alcohol consumption, and family history of CVD were
included as covariates. History of HT was used in this analysis because
it is based on a diagnosis made by a physician on the basis of blood
pressure measurements taken at least on three subsequent occasions,
which is more reliable than HT classification based on casual blood
pressure measurements. However, an analysis using HT classification
based on the present blood pressure measurements and the antecedent of
HT drug treatment did not give different results. Results were
considered as statistically significant with P value < 0.05. All the statistical analyses were carried out by use of the SPSS
program version 10. Informed, written consent was obtained from all
participants, and the research protocol was approved by a locally
appointed ethics committee.
| |
RESULTS |
|---|
|
|
|---|
Subjects with frequent MILTPA, in general, showed a better profile
of CVD risk factors than subjects with nonfrequent MILTPA, although
only arterial pulse and DBP were significantly lower in the former
group (Table 1). The distributions of the
ACE DD, ID, and II genotypes did not differ significantly among the
MILTPA groups (
2 = 2,556; df = 2; P
value = 0.279) (Table 2). The
adjustment for confounders did not change this result. The D allele was
common, and its frequency did not differ significantly between the
MILTPA groups (
2 = 1,217; df = 1; P
value = 0.269). The main predictors of BP were male gender, age,
BMI, and arterial pulse (Table 3).
Additionally, tobacco smoking and alcohol consumption also had a
significant main effect on DBP. Neither ACE I/D nor MILTPA had a
significant main effect on arterial blood pressure. The only
significant predictor of arterial pulse was MILTPA. Subjects with
frequent MILTPA showed a significantly lower arterial pulse than
subjects with nonfrequent MILTPA. Finally, HT was significantly more
frequent in subjects with obesity (adjusted
2 = 24,57; P value < 0.001), family history of CVD
(adjusted
2 = 5,92; P value = 0.015), or lower educational level (adjusted
2 = 7,64; P value = 0.054). As for BP, neither ACE I/D nor
MILTPA was associated with HT.
|
|
|
| |
DISCUSSION |
|---|
|
|
|---|
Between 1982 and 1992, the Finnish adult population showed a significant decline in total energy expenditure, mainly because of a decrease in energy expenditure at work, which has not been counterbalanced by the favorable increase of energy expenditure during leisure time (6). Because the total energy intake in the Finnish adult population decreased during the same time period, the lower energy expenditure at work has been suggested as one the contributors to the increment of BMI in the Finnish adult population during the last decades (11, 23). Because an increase of energy expenditure at work is not expected, the promotion of LTPA has been proposed as a feasible and effective approach to increase the total energy expenditure at the population level. This national epidemiological scenario and the intrinsic health benefits of physical fitness make self-evident the importance of studying the determinants of LTPA in the Finnish population.
We found no association between ACE I/D and MILTPA. This lack of association can be ascribed to factors related to the study population, the definition of the phenotype under study, and the genotype itself. The Finnish population is well known by its condition of a genetically isolated population with a common cultural background. Additionally, morbidity and mortality related to CVD and related risk factors are still high in the population, although significant improvements have occurred during the past three decades. Overall, the Finnish population represents an ideal setting to evaluate the contribution of genetic factors to the development of CVD. Moreover, in our study we used representative samples of adult populations from eastern and southwestern Finland in which the ACE I/D genotypes were in Hardy-Weinberg equilibrium and the proportion of the participants with frequent MILTPA was similar to the national figures reported for the years 1991-1992 (20). Thus the characteristics of the population and the sampling procedures carried out in this study should not weaken any association between the genotype and the phenotype being evaluated.
In population studies, physical activity usually is assessed by questionnaire, either filled out by the respondent or collected by interview (28). Information on the amount, the intensity, and the response of the individual to the activity is gathered, and analyses of absolute energy expenditure and vigorous quality can be done. The main objective is to learn about the behavior (physical activity) among different sections of the adult population. LTPA has been the component of total physical activity most extensively studied in cardiovascular research, and in Finland, given the above scenario, it has not been the exception (8, 9, 14, 32). However, recent reports have suggested that physical fitness may be a better predictor of mortality than physical activity itself (2) and that the association of LTPA with physical fitness may not be consistent (13). Also, whereas the validity of few-question or single-question self-assessment of LTPA has been found acceptable to consider and recommend their use in population studies (4, 34, 27), there are reports that have questioned it (12, 35). There are issues related to the validity of single-question self-assessment to measure LTPA in particular and to estimate physical activity and physical fitness in general that may bias the study of the association of a given genotype and physical activity in population studies.
The studies that have found a significant positive association between ACE I/D and physical fitness have either compared the genotype distribution between a sample of elite athletes and some control group or have evaluated the association of the genotype with physical fitness measured in army recruits before and after a period of intensive physical training (1, 7, 15-18, 36). Although the assessment of physical fitness in those studies may be more reliable, the use of extremely selected subject samples and training conditions in their design limits the generalization of their findings into the general population. Furthermore, recently a lack of association has been reported between ACE I/D polymorphism and physical fitness in representative samples of sedentary adult Caucasian and Black populations before and after a period of 20 wk of a standardized endurance training program (24), when a sample of Australian elite athletes was compared with a community control group (29) and when a Caucasian multinational sample of elite athletes was compared with a sedentary control group (25).
Our study also found no association between the ACE I/D polymorphism and BP or HT, confirming results of most previously published linkage and association studies (5, 30, 33). Additionally MILTPA did not significantly predict either BP or HT in this cross-sectional study. This lack of association persisted in further analyses using HT classification that were based on the present blood pressure measurements and the antecedent of HT drug treatment and/or excluded BMI from the regression models (results not shown). This finding is clearly in disagreement with previous epidemiological and experimental studies showing a significant inverse association between level of physical fitness and BP/prevalence or incidence of HT (8, 9, 14, 21, 32). The validity issues related to the assessment of LTPA in populations discussed above are also pertinent here.
In conclusion, we found no association between ACE I/D and LTPA in the Finnish middle-aged adult population. Although a single-question self-assessment of LTPA was used in our study, the result confirms recent negative reports in which physical fitness has been assessed more thoroughly. The study also confirmed a lack of association between ACE I/D and BP or HT.
| |
ACKNOWLEDGEMENTS |
|---|
This study was funded by the Ministry of Education of Finland (R. M. Fuentes) and the Academy of Finland (J. Tuomilehto).
| |
FOOTNOTES |
|---|
Address for reprint requests and other correspondence: R. M. Fuentes, Dept. of Public Health and General Practice, Univ. of Kuopio, P.O.B. 1627, FIN-70211 Kuopio, Finland (E-mail: ricardo.fuentes{at}messi.uku.fi).
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.
First published February 15, 2002;10.1152/japplphysiol.01196.2001
Received 4 December 2001; accepted in final form 8 February 2002.
| |
REFERENCES |
|---|
|
|
|---|
1.
Alvarez, R,
Terrados N,
Ortolano R,
Iglesias-Cubero G,
Reguero JR,
Batalla A,
Cortina A,
Fernández-García B,
Rodríguez C,
Braga S,
Alvarez V,
and
Coto E.
Genetic variation in the renin-angiotensin system and athletic performance.
Eur J Appl Physiol
82:
117-120,
2000[ISI][Medline].
2.
Blair, SN,
Kampert JB,
Kohl HW,
Barlow CE,
Macera CA,
Paffenbarger RS,
and
Gibbons LW.
Influences of cardiorespiratory fitness and other precursors on cardiovascular disease and all-cause mortality in men and women.
JAMA
276:
205-210,
1996[Abstract].
3.
Cambien, F,
Poirier O,
Lecert L,
Evans A,
Cambou JP,
Arveiler D,
Luc G,
Bard JM,
Bara L,
Ricard S,
Tiret L,
Amouyel P,
Alhenc-Gelas F,
and
Soubrier F.
Deletion polymorphism in the gene for angiotensin-converting enzyme is a potent risk factor for myocardial infarction.
Nature
359:
641-644,
1992[Medline].
4.
Cardinal, BJ.
Predicting cardiorespiratory fitness without exercise testing in epidemiologic studies: a concurrent validity study.
J Epidemiol
6:
31-35,
1996[Medline].
5.
Corvol, P,
Jeunemaitre X,
Charru A,
and
Soubrier F.
The renin-angiotensin system in human hypertension.
In: Molecular Cardiovascular Medicine, edited by Haber E.. New York: Scientific American, 1995, p. 259-274.
6.
Fogelholm, M,
Männistö S,
Vartiainen E,
and
Pietinen P.
Determinants of energy balance and overweight in Finland 1982 and 1992.
Int J Obes
20:
1097-1104,
1996[ISI][Medline].
7.
Gayagay, G,
Yu B,
Hambly B,
Boston T,
Hahn A,
Celermajer DS,
and
Trent RJ.
Elite endurance and the ACE I allele-the role of genes in athletic performance.
Hum Genet
103:
48-50,
1998[ISI][Medline].
8.
Haapanen, N,
Miilunpalo S,
Vuori I,
Oja P,
and
Pasanen M.
Characteristics of leisure time physical activity associated with decreased risk of premature all-cause and cardiovascular disease mortality in middle-aged men.
Am J Epidemiol
143:
870-880,
1996
9.
Haapanen, N,
Miilunpalo S,
Vuori I,
Oja P,
and
Pasanen M.
Association of leisure time physical activity with the risk of coronary heart disease, hypertension and diabetes in middle-aged men and women.
Int J Epidemiol
25:
739-747,
1997.
10.
Hagberg, JM,
Ferrell RE,
McCole SD,
Wilund KR,
and
Moore GE.
O2 max is associated with ACE genotype in postmenopausal women.
J Appl Physiol
85:
1842-1846,
1998
11.
Jalkanen, L,
Tuomilehto J,
Nissinen A,
and
Puska P.
Changes in body mass index in a Finnish population between 1972 and 1982.
J Intern Med
226:
163-170,
1989[ISI][Medline].
12.
Lakka, TA,
Kauhanen J,
and
Salonen JT.
Conditioning leisure time physical activity and cardiorespiratory fitness in sociodemographic groups of middle-aged men in eastern Finland.
Int J Epidemiol
25:
86-93,
1996
13.
Lamb, KL,
and
Brodie DA.
Leisure-time physical activity as an estimate of physical fitness: a validation study.
J Clin Epidemiol
44:
41-42,
1991[ISI][Medline].
14.
Marti, B,
Tuomilehto J,
Salonen JT,
Puska P,
and
Nissinen A.
Relationship between leisure-time physical activity and risk factors for coronary heart disease in middle-aged Finnish women.
Acta Med Scand
222:
223-230,
1987[ISI][Medline].
15.
Montgomery, HE,
Clarkson P,
Dollery CM,
Prasad K,
Losi MA,
Hemingway H,
Statters D,
Jubb M,
Girvain M,
Varnava A,
World M,
Deanfield J,
Talmud P,
McEwan JR,
McKenna WJ,
and
Humphries S.
Association of angiotensin-converting enzyme gene I/D polymorphism with change in left ventricular mass in response to physical training.
Circulation
96:
741-747,
1997[ISI][Medline].
16.
Montgomery, HE,
Marshall R,
Hemingway H,
Myerson S,
Clarkson P,
Dollery C,
Hayward M,
Holliman DE,
Jubb M,
World M,
Thomas EL,
Brynes AE,
Saeed N,
Barnard M,
Bell JD,
Prasad K,
Rayson M,
Talmud PJ,
and
Humphries SE.
Human gene for physical performance.
Nature
393:
221-222,
1998[Medline].
17.
Montgomery, H,
Clarkson P,
Barnard M,
Bell J,
Brynes A,
Dollery C,
Hajnal J,
Hemingway H,
Mercer D,
Jarman P,
Marshall R,
Prasad K,
Rayson M,
Saeed N,
Talmud P,
Thomas L,
Jubb M,
World M,
and
Humphries S.
Angiotensin-converting-enzyme gene insertion/deletion polymorphism and response to physical training.
Lancet
353:
541-545,
1999[ISI][Medline].
18.
Myerson, S,
Hemingway H,
Budget R,
Martin J,
Humphries S,
and
Montgomery H.
Human angiotensin I-converting enzyme gene and endurance performance.
J Appl Physiol
87:
1313-1316,
1999
19.
National Public Health Institute.
Monitoring Trends and Determinants of Cardiovascular Diseases in Finland: the MONICA Study. Helsinki: National Public Health Institute, 1982, issue B3.
20.
National Public Health Institute.
Health Behaviour Among Finnish Adult Population, Spring 1998. Helsinki: National Public Health Institute, 1998, issue B10, p. 143.
21.
Pate, RR,
Pratt M,
Blair SN,
Haskell WL,
Macera CA,
Bouchard C,
Buchner D,
Ettinger W,
Heath GW,
King AC,
Physical activity and public health. A recommendation from the Centers for Diseases Control and Prevention and the American College of Sports Medicine.
JAMA
273:
402-407,
1995[Abstract].
22.
Perola, M,
Sajantila A,
Sarti C,
Stengård J,
Tamminen M,
Puska P,
Huttunen J,
Tuomilehto J,
and
Peltonen L.
Angiotensin-converting enzyme genotypes in high-and low-risk area for coronary heart disease in Finland.
Genet Epidemiol
12:
391-399,
1995[ISI][Medline].
23.
Pietinen, P,
Vartiainen E,
and
Mannisto S.
Trends in body mass index and obesity among adults in Finland from 1972 to 1992.
Int J Obes Relat Metab Disord
20:
114-120,
1996[ISI][Medline].
24.
Rankinen, T,
Pérusse L,
Gagnon J,
Chagnon YC,
Leon AS,
Skinner JS,
Wilmore JH,
Rao DC,
and
Bouchard C.
Angiotensin-converting enzyme ID polymorphism and fitness phenotype in the HERITAGE Family Study.
J Appl Physiol
88:
1029-1235,
2000
25.
Rankinen, T,
Wolfarth B,
Simoneau JM,
Maier-Lenz D,
Raumaa R,
Rivera MA,
Boulay MR,
Chagnon YC,
Pérusse L,
Keul J,
and
Bouchard C.
No association between the angiotensin-converting enzyme ID polymorphism and elite endurance athlete status.
J Appl Physiol
88:
1571-1575,
2000
26.
Rigat, B,
Hubert C,
Alhenc-Gelas F,
Cambien F,
Corvol P,
and
Soubrier F.
An insertion/deletion polymorphism in the angiotensin I-converting enzyme gene account for half the variance of serum enzyme levels.
J Clin Invest
86:
1343-1346,
1990[ISI][Medline].
27.
Schechtman, KB,
Barzilai B,
and
Fisher EB.
Measuring physical activity with a single question.
Am J Public Health
81:
771-773,
1991
28.
Smith, GD,
and
Morris JN.
Assessment of physical activity and physical fitness in population surveys.
J Epidemiol Community Health
46:
89-91,
1992[ISI][Medline].
29.
Taylor, RR,
Mamotte CDS,
Fallon K,
and
van Bockxmeer FM.
Elite athletes and the gene for angiotensine-converting enzyme.
J Appl Physiol
87:
1035-1037,
1999
30.
Timberlake, DS,
O'Connor DT,
and
Parmer RJ.
Molecular genetics of essential hypertension: recent results and emerging strategies.
Opin Nephrol Hypertens
10:
71-79,
2001.
31.
Tiret, L,
Rigat B,
Visvikis S,
Breda C,
Corvol P,
Cambien F,
and
Soubrier F.
Evidence, from combined segregation and linkage analysis, that a variant of the angiotensin I-converting enzyme (ACE) gene controls plasma ACE levels.
Am J Hum Genet
51:
197-205,
1992[ISI][Medline].
32.
Tuomilehto, J,
Marti B,
Salonen JT,
Virtala E,
Lahti T,
and
Puska P.
Leisure-time physical activity is inversely related to risk factors for coronary heart disease in middle-aged Finnish men.
Eur Heart J
8:
1047-1055,
1987
33.
Wang, JG,
and
Staessen JA.
Genetic polymorphisms in the renin-angiotensin system: relevance for susceptibility to cardiovascular disease.
Eur J Pharmacol
410:
289-302,
2000[ISI][Medline].
34.
Washburn, RA,
Adams LL,
and
Haile GT.
Physical activity assessment for epidemiologic research: the utility of two simplified approaches.
Prev Med
16:
636-646,
1987[ISI][Medline].
35.
Weiss, TW,
Slater CH,
Green LW,
Kennedy VC,
Albright DL,
and
Wun CC.
The validity of single-item, self-assessment questions as measures of adult physical activity.
J Clin Epidemiol
43:
1123-1129,
1990[ISI][Medline].
36.
Williams, AG,
Rayson MP,
Jubb M,
World M,
Woods D,
Hayward M,
Martin J,
Humphries SE,
and
Montgomery HE.
The ACE gene and muscle performance.
Nature
403:
614,
2000[Medline].
This article has been cited by other articles:
![]() |
F Zhang, M Lewis, G Yang, J Iriondo-Perez, Y Zeng, and J Liu Apolipoprotein E polymorphism, life stress and self-reported health among older adults. J. Epidemiol. Community Health, April 1, 2008; 62(4): e3 - e3. [Abstract] [Full Text] [PDF] |
||||
![]() |
I. Cascorbi, M. Paul, and H. K. Kroemer Pharmacogenomics of heart failure - focus on drug disposition and action Cardiovasc Res, October 1, 2004; 64(1): 32 - 39. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. G. Williams, S. H. Day, S. Dhamrait ;, and R. M. Fuentes ACE gene, physical activity, and physical fitness J Appl Physiol, October 1, 2002; 93(4): 1561 - 1562. [Full Text] [PDF] |
||||
![]() |
F. Stuber Genomics and Acute Respiratory Distress Syndrome Am. J. Respir. Crit. Care Med., September 1, 2002; 166(5): 633 - 634. [Full Text] [PDF] |
||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
| Visit Other APS Journals Online |