Abstract Background Patients with prior coronary artery bypass graft (CABG) surgery have been excluded or under-represented in many of the trials of percutaneous coronary intervention (PCI) vs. conservative strategy in the management of patients presenting with non-ST elevation myocardial infarction (NSTEMI). Therefore, limited data supports the use of PCI in this context. Given the higher risk profile of these patients, clinicians may default to a conservative strategy given the lack of evidence of benefit of PCI. Our institution consists of one PCI and one non-PCI acute site and serves a population of 500 000 including a uniquely high proportion of the elderly with a high follow up rate and an ideal, interesting population to study with many patients offered a conservative strategy. Methodology Patients who presented over a 5 year period from Jan 2012 to Dec 2017 with NSTEMI and prior CABG were identified from Myocardial Ischaemia National Audit Project (MINAP) returns. Hospital records were reviewed to exclude patients with type 2 MI and ST elevation MI. We identified patients who were managed conservatively or with PCI and assessed outcomes at the end pf December 2019, giving a follow up range of 2–7 years. The primary outcome was all cause death or myocardial infarction. Secondary outcome measures included readmission at 30 days and 1 year, angina, need for revascularisation. Results 206 patients were identified (mean age 77.7y, 26% female) of whom 107 were managed medically and 99 underwent angiography. 74 (36%) of patients were admitted to the non-interventional site, of which 27 patients underwent angiography. Overall, 48 (23%) went on to have PCI (only 7% of patients from the non-PCI site). 29 patients had PCI to the native coronaries, 16 to a bypass graft and the remainder to both. Age and clinical frailty score (CFS) was significantly higher in patients managed conservatively. The primary end point occurred in a high proportion of patients (124, 74.6%) consisting of 28 MI and 96 deaths during the follow up period. Age at presentation, clinical frailty score (CFS), presence of heart failure and absence of statin use were were significantly associated with the primary outcome. There was a significant difference in the primary outcome in patients managed conservatively (113/158; 72%) compared to those who had PCI (11/48; 23%), P<0.001. Conclusion PCI in NSTEMI patients with prior CABG is significantly associated with improved survival and less myocardial infarction compared to a conservative strategy in this retrospective audit of our patient population, but PCI patients are younger and less frail, which, in themselves, could suggest treatment bias and might confer a survival benefit. PCI rates varied significantly when patients were assessed in non-interventional acute site compared to a PCI site which has important implications for service provision. A large-scale randomised control trial is warranted to guide best practice. Funding Acknowledgement Type of funding source: None

Purpose: The D-variant of the angiotensin-1 converting enzyme (ACE) gene is associated with higher circulating and tissue ACE activity. Some studies have suggested a similar association of genotype with muscle strength or the gain in strength in response to training. This study has assessed the relationship between circulating ACE activity, strength, and the response to training. Methods: Eighty-one untrained men were tested for quadriceps muscle strength, and 44 of these performed an 8-wk program of dynamic strength training of the quadriceps muscle group. Venous blood was obtained for assessment of circulating ACE activity before and after the training program. ACE genotype was also determined. Results: At baseline, circulating ACE activity was significantly correlated with isometric (r = 0.25-0.29, P < 0.02) and isokinetic (r = 0.38, P < 0.0005) quadriceps muscle strength. ACE genotype also seemed to be related to pretraining muscle strength. However, circulating ACE activity showed no significant association with the 9-14% mean increases of muscle strength in response to the training intervention. ACE genotype also showed no association with the training-induced change in muscle strength. Circulating ACE activity did not change significantly after the training program. Conclusions: The data support a role for ACE in the regulation of human skeletal muscle strength, but do not confirm a role in altering the response to short-term training.

Objective. The severity of the proinflammatory response may determine outcome in the critically ill. Genetic variation in the promoter region of the gene encoding the proinflammatory cytokine interleukin-6 (IL-6; −174 CC genotype) may encode enhanced production of IL-6. Our objective was to determine whether the CC genotype is associated with worse early illness severity, neurologic injury, and lower developmental scores among surviving preterm children. Methods. Genotype was determined from dried blood spots that were taken for neonatal screening tests 7 days or more after birth; outcome was independently assessed as part of a longitudinal study of children of ≤32 weeks’ gestational age. Results. CC genotype was associated with worse intensive care indices. Significant hemorrhagic brain injuries occurred in 5 (19%) of 27 children with CC genotype compared with 7 (6%) of 121 children with GC or GG genotype, and images consistent with white matter damage (ventriculomegaly or cystic periventricular leukomalacia) occurred in 9 (26%) of CC patients compared with 9 (7%) in GC/GG children. Disability occurred significantly more often in CC children: 8 (31%) compared with 16 (13%). A similar trend was also noted in children with cerebral palsy (15% compared with 7%, respectively). Developmental, cognitive, and motor scores at 2 years and 5.5 years were independent of genotype among children with or without disability. Conclusions. In a population of surviving children who were born at ≤32 weeks’ gestational age, variation of the gene that may increase IL-6 synthesis is associated with disabling brain injury but not cognitive development despite association with worse early critical care indices.

OBJECTIVE:Systemic infection affects one quarter of preterm infants. Defense from infection is in part mediated by the cytokine interleukin-6 (IL-6). We tested the hypothesis that the IL-6 -174 GG genotype, associated with lower IL-6 response to inflammation, is also associated with the development of septicemia in preterm infants.METHODS:The study group comprised 157 infants who were born at < or =32 weeks. Genotype distribution (34% [54] GG, 46% [72] GC, 20% [31] CC) and C allele frequency (0.43; 95% confidence interval [CI]: 0.37-0.48) were similar to the UK adult population. Among the patients who developed bacterially confirmed septicemia (n = 51 [33%]), there was a significantly higher prevalence of the IL-6 -174 GG genotype than that observed in those who did not develop infection (47% vs 28% for GG: odds ratio [OR]: 2.3; 95% CI: 1.1-4.5). This association remained statistically significant (OR: 2.7; 95% CI: 1.2-6.3) after multiple binary logistic regression adjustment for other significant predictors of the development of septicemia. Late infection alone was similarly associated with GG genotype (septicemia 47% vs no septicemia 29% for GG: OR: 2.2; 95% CI: 1.1-4.3).CONCLUSIONS:Variation in the IL-6 gene seems to influence the defense against bacterial pathogens in the very preterm infant.

OBJECTIVES:The angiotensin-converting enzyme (ACE) deletion (D) variant is associated with greater ACE activity and perhaps with deleterious cardiorespiratory pathophysiological responses. We determined whether the early health status of the preterm infant was adversely influenced by homozygosity for the D allele (DD genotype) compared with ID or II genotype. Study design Angiotensin-converting enzyme genotype was determined in a cohort of 148 preterm infants born in Bristol, United Kingdom (median gestational age, 31 weeks; range, 28-32). Intensive care data were prospectively obtained. Primary analysis was by Mann-Whitney U and chi(2) tests.RESULTS:Higher oxygen, circulatory support requirements, and base deficit in the first 12 hours after birth were found in infants with DD genotype (minimum inspired oxygen concentration in first 12 hours, median [interquartile range], DD 0.26 [0.21-0.40], ID/II 0.21 [0.21-0.30], P=.028; blood pressure support in first 12 hours, DD 12 [30%], ID/II 15 [14%], P=.039; worse base deficit in first 12 hours, DD 4.8 [7.7 to 0], ID/II 0 [5.3 to 0], P=.020).CONCLUSIONS:Angiotensin-converting enzyme polymorphism has a role in the development of preterm cardiorespiratory disease. The DD genotype, encoding higher angiotensin-converting enzyme activity, may adversely influence the early health status of preterm infants.

LETTERS TO THE EDITORACE Genotype and PerformanceHugh Montgomery, and Sukhbir DhamraitHugh Montgomery, and Sukhbir DhamraitPublished Online:01 Apr 2002https://doi.org/10.1152/japplphysiol.00875.2001MoreSectionsPDF (54 KB)Download PDF ToolsExport citationAdd to favoritesGet permissionsTrack citations ShareShare onFacebookTwitterLinkedInEmailWeChat To the Editor: The angiotensin-converting enzyme (ACE) insertion/deletion (I/D) polymorphism has previously been associated with measures of training response and human endurance performance. A recent article (4) concluded that such an association was weak or spurious. However, this conclusion is erroneous, being derived from flaws in the gene-environment model used. The application of four different training regimes to nine subgroups of race and sex in a sample of only 117 individuals will per force prevent the identification of any such association. The rationale for this contention is discussed.Gene-environment interaction (GEI) studies relate the magnitude of physiological response to a uniform environmental stimulus with variation in a candidate gene. However, response magnitude depends on stimulus nature and scale and on the subject's physical and genetic characteristics. The ideal GEI study thus seeks 1) subject homogeneity (similar individuals of identical race and sex),2) stimulus homogeneity (nature, magnitude, and duration), and 3) selection of an appropriate phenotype to assess.Sonna et al. (4) report such a GEI study: candidate gene was ACE, variant was I/D polymorphism, subjects were army recruits, environmental stimulus was exercise, and phenotypic responses were performance measures. However, their conclusion that the ACE gene exerts minor or spurious effects on performance characteristics is not justified. Subjects were not homogeneous. The use of nine combinations of race and sex is disadvantageous. 1) Associations of phenotype with race confound association with genotype if polymorphism frequency also varies dramatically (as here) with race.2) Phenotype is influenced by genes associated with race and gender. Left ventricular growth is greater in men and those of African descent (3), and some performance responses will also be influenced by race and sex. 3) The influence of a polymorphism on phenotypic response will, as the authors acknowledge, differ as a function of the genetic background of the population under study. Mixing such backgrounds by inclusion of diverse race and sex combinations is thus detrimental. 4) Polymorphism functionality may itself vary with race. Fundamental to this study, the ACE I/D polymorphism is used as a marker of tissue ACE activity. Such an association is unexplored and unproven among non-Caucasians. However, its association with serum ACE activity in Caucasians may be absent among African-Americans (1), thus negating the very rationale for the use of the polymorphism as a marker of ACE activity in such groups entirely.The complex effects of race and sex on the gene-environment interaction cannot be modeled when 117 subjects are divided into nine potential combinations of race and sex themselves spread over three genotypes. Furthermore, detecting a 20% difference in phenotypic response (far greater than that reported in any gene-environment association studies of mixed race-sex cohorts so far) with 80% power requires (they suggest) 30 subjects in each group, which is far more than is found for any race-sex combination here. Thus, with only 37 African-Americans starting training (3 of II genotype, roughly one-half likely to be women) and a reported cohort dropout rate of 20.4%, even fewer subjects are left for analysis.The problem cannot be overcome by “lumping together” those of one sex (and different race) or those of different race, as performed in the Sonna et al. study (4) for the three non-African-American/Caucasian groups. Furthermore, conclusions cannot be drawn from the study of Caucasians alone. Data for only 117 (61 women) individuals were studied, of 147 “starters,” and, of the original cohort, only 57% were Caucasian. If we assume no race and sex selection in passing training (an additional confounder that we cannot judge from the data presented), then there would have been only 29 male Caucasians of three genotypes in the final analysis, which is again far too few for meaningful comparisons with other race-sex groups.Training stimulus was inhomogeneous.Training stimulus was inhomogeneous, differing according to four ability groups whose racial or gender composition, genotype mix, and “pass rate” may have also differed.Choice of phenotype.An association of ACE genotype with training-related change in maximal O2 uptake has never been shown. Other measures (such as press-ups and sit-ups) may require mixed strength and endurances. The association of the I allele with the latter and the D allele with the former (2) would confound allele association with such measures.Furthermore, raw data were adjusted for age and sex to provide a “score” in a range of 0–100, the effect being to “reduce the statistical impact of outliers without excluding them from analysis” (4), a major problem when the genetic variation being examined may account for such outliers.In addition, lack of association of genotype with such measures (even if statistically valid) cannot be used to discount past association with different measures of performance in other more homogeneous groups. Nor can such data be used to infer anything of the validity of other studies of entirely other types (e.g., candidate gene-association studies of elite athletes).Thus a heterogeneous (four group) environmental stimulus has been applied to nine combinations of race and sex with three genotypes among only 117 individuals. The conclusion that “the apparent association described by some is due to a minor effect of the ACE gene on physical performance that is important only under selected circumstances” (4) is thus questionable.Putative race and sex dependence of the strength of association of a polymorphism with a given phenotypic trait remains an important issue to address. This study did not set out to (and could not) do this. In addition, analysis of mixed training in such small mixed-sex and race groups does not prove, or disprove, the impact of any given polymorphism in any population, mixed or otherwise.REFERENCES1 Bloem LJ, Manatunga AK, Pratt JH.Racial difference in the relationship of an angiotensin I-converting enzyme gene polymorphism to serum angiotensin I-converting enzyme activity.Hypertension2719966266Crossref | PubMed | ISI | Google Scholar2 Folland J.Angiotensin-converting enzyme genotype affects the response of human skeletal muscle to functional overload.Exp Physiol852000575579Crossref | PubMed | ISI | Google Scholar3 Schieken RM, Schwartz PF, Goble MM.Tracking of left ventricular mass in children: race and sex comparisons: the MCV Twin Study. Medical College of Virginia.Circulation97199819011906Crossref | ISI | Google Scholar4 Sonna LA, Sharp MA, Knapik JJ, Cullivan M, Angel KC, Patton JF, Lilly CM.Angiotensin-converting enzyme genotype and physical performance during US Army basic training.J Appl Physiol91200113551363Link | ISI | Google ScholarjapjapJAPPLPHYSIOLJournal of Applied PhysiologyJ Appl Physiol1522-16018750-7587American Physiological SocietyBethesda, MDjapjapJAPPLPHYSIOLJournal of Applied PhysiologyJ Appl Physiol1522-16018750-7587American Physiological SocietyBethesda, MDjapjapJAPPLPHYSIOLJournal of Applied PhysiologyJ Appl Physiol1522-16018750-7587American Physiological SocietyBethesda, MDjapjapJAPPLPHYSIOLJournal of Applied PhysiologyJ Appl Physiol1522-16018750-7587American Physiological SocietyBethesda, MD10.1152/japplphysiol.00875.2001LETTERS TO THE EDITOR Genetic Studies of PerformanceJohn R. Payne 1 Centre for Cardiovascular Genetics 2 BHF Laboratories 3 Rayne Institute 4 University College London 5 London WC1E 6JJ, United Kingdom14200292417741777Copyright © 2002 the American Physiological Society200210.1152/japplphysiol.00875.2001LETTERS TO THE EDITOR Alun Jones, and David Woods 1 Cardiovascular Repair Unit 2 Middlesex Hospital 3 London W1N 8AA, United Kingdom 4 E-mail:[email protected]com 5 Department of Medicine 6 Freeman Hospital 7 Newcastle upon Tyne, United Kingdom14200292417741777Copyright © 2002 the American Physiological Society200210.1152/japplphysiol.00875.2001LETTERS TO THE EDITOR Larry A. Sonna, Craig M. Lilly, Marilyn A. Sharp, Joseph J. Knapik, and John F. Patton 1 Thermal and Mountain Medicine Division 2 US Army Research Institute of Environmental Medicine 3 Natick, Massachusetts 01760 4 E-mail:larry.[email protected]amedd.army.mil 14200292417741777Copyright © 2002 the American Physiological Society200210.1152/japplphysiol.00875.2001LETTERS TO THE EDITOR 14200292417741777Copyright © 2002 the American Physiological Society2002 To the Editor: In a recent issue of theJournal of Applied Physiology, Sonna and colleagues (1-9) cite three references (1-1, 1-5, 1-6) that they claim “convincingly ruled out a role for ACE genotype in aerobic performance.” This conclusion is misleading.First, the fact that “a genomewide scan for markers linked withV˙o 2 max found none on chromosome 17” (where V˙o 2 max is maximal O2 uptake) is in no way evidence for a lack of a role for ACE genotype in aerobic performance. Linkage studies extend over substantial genetic distances and aid long-range mapping. Association studies, on the other hand, are far more powerful in the demonstration of alleles with modest phenotypic effects (1-8), such that “the future of the genetics of complex diseases is likely to require large-scale testing by association analysis” (1-7). For an allele frequency of ∼50% (that of the ACE I allele) and an increase in “risk” of a fixed phenotype of 1.5, a powerful sib-pair linkage study would need to examine over 17,000 families (1-7). Absence of linkage marker association on a chromosome thus does not exclude the presence of a powerful gene cited there, as evidenced by the failure of linkage strategies to relate the insulin gene region with insulin-dependent diabetes mellitus (IDDM) (1-2) when association studies were later able to do so (1-3). These findings emphasized “the importance of performing careful association studies before considering any region of the genome void of IDDM-susceptibility loci” (1-4).Second, the authors also cite a cross-sectional study (1-6) that failed to identify an excess frequency of the I allele among “elite endurance athletes.” However, these were drawn from four countries, and potentially even more races, and from diverse sporting disciplines. Such heterogeneity dramatically weakens the power of any association study in which single, not multiple, phenotypes and races should be studied. In addition, to be included, subjects also had to demonstrate a V˙o 2 max of >75 ml · kg−1 · min−1. Similarly, Sonna et al. (1-9) also cite a suggested lack of association between the ACE I/D polymorphism and V˙o 2 max in one study.Therefore, the cited data in Ref. 1-9 might perhaps only offer some support for a lack of association between the ACE I allele and V˙o 2 max. However, a lack of association with “aerobic performance” has not been demonstrated, convincingly or otherwise. To the Editor: Recently, Sonna and colleagues (2-3) concluded that the ACE gene may have no association of note with the human endurance-training response. We do not feel these conclusions are justified.Military recruits of diverse race and both sexes were subjected to a heterogeneous (four different groupings of intensity) 8-wk period of physical training. Such application of heterogeneous training to a heterogeneous group will prevent identification of candidate allele-associated changes in performance unless each race-sex combination is itself substantial, as a consistent stimulus must be applied to assess the influence of any gene on the response to an environmental stimulus. In this study, subjects were divided into groups according to their baseline level of fitness and subsequently trained at different levels of intensity.The argument that the study of such mixed subjects reveals the “true effect” of a genotype in a population is misguided. The more diverse the genetic background and environment, the less likely is the possibility for identifying mechanisms of importance through gene-environment interactions. Thus the association of the ACE gene with left ventricular growth responses becomes clear when small uniform groups (by age and sex and race) are studied in the presence of a qualitatively similar growth stimulus, whereas such an effect is not seen in very large studies where such effects are uncontrolled (2-2). Quite simply, such heterogeneity instills too much white noise.In addition, the effect on “endurance performance” was assessed by changes in sit-up and the push-up “scores.” It is debatable whether these are accurate measures of pure endurance. Indeed, the US Army National Guard define these as “measures of strength,” whereas the US Army Physical Fitness Test (APFT) protocol suggests these tests are measures of combined endurance and strength development (2-1), a view with which other authors concur (2-4). Given the potential association of the D allele with a strength-training response and the I allele with possible endurance measures, it is unsurprising that no allele association was identified.Other problems exist. Soldiers were encouraged to obtain “scores” of over 60 with the knowledge that they had obtained (pass) scores of 50. With the incentive to continue gone, it is not unreasonable to assume that subjects might not have performed to the limit of their capabilities, blunting any identification of gene association with maximal performance. The “weighting” of scores to annul the effect of “outliers” has a similar effect in attenuating the very extremes of performance with which a genotype may be associated.Such studies should be performed with (even multiple) similar age-sex-race cohorts being exposed to identical training stimuli and with measures of endurance and not strength or strength-endurance. Until such time, the authors' conclusions (2-3) concerning the lack of influence of the ACE genotype remain unfounded.REPLY To the Editor: We accept Dr. Payne's criticism that we may have overstated the importance of previous studies that failed to detect a relationship between the ACE I/D polymorphism and aerobic performance (of which V˙o 2 max is, quantitatively, the most significant determinant). He eloquently states why genetic association studies continue to be an important tool in the study of complex traits.Drs. Montgomery and Dhamrait highlight many of the limitations that are, unfortunately, almost inescapable in any reasonably large field study of the human physical performance response to training, including their own (3-1). We agree that the study of physical training in military recruits has significant limitations; however, outside of a military organization, it is very hard to find a substantial cohort of subjects who will undergo a comparably regulated and enforced training program over a period of several weeks.A few of the issues raised require clarification. First, during basic training, our subjects trained in ability groups only for running, not for training activities designed to enhance muscle strength and endurance (calisthenics, and so forth). From the perspective of muscle strength and endurance, our subjects were subjected to a highly homogeneous physical training regime and essentially identical environmental conditions.Second, we reported APFT data on 143 of 147 subjects, which is a 2.7% loss. Although it is true that we had paired treadmill data for only 80% of the subjects, the conclusions drawn from these data were similar to those obtained from examining the 2-mile run scores. In any case, as pointed out in their letter, Drs. Montgomery and Dhamrait agree that available evidence to date does not demonstrate an effect of ACE I/D genotype on V˙o 2 max in young adults. Our findings are consistent with this body of literature, but, of course, it is impossible to prove a negative finding beyond all doubt.Third, it is true that the APFT scoring system can narrow the differences between superb athletes (i.e., athletes who score above the 100 maximum) and athletes of average ability, thus (in principle) reducing the statistical power of a genetic association study. However, in our cohort, the highest score achieved at the end of basic training was 92 in the pushup event, and only two subjects achieved a score of 100 in the sit-up event. It is therefore unlikely that underestimation of the abilities of the best-performing subjects led to a significant bias in our findings concerning muscular endurance. We believe the very substantial advantages of the APFT (namely, its ability to adjust for age and gender, based on measurements in thousands of individuals, and the fact that APFT scores vary linearly with number of repetitions and run times at all but the very lowest scores) greatly outweighed its limitations in this study.Fourth, there is no universally accepted measure of pure muscular endurance. As in other tests of muscular endurance, we agree that performance on the APFT pushup and sit-up events are likely influenced to some extent by muscle strength (as defined by single-repetition isotonic maximums). However, few performance physiologists would argue that events involving multiple, repetitive, submaximal muscular contractions to exhaustion over a period of 2 min are primarily tests of strength. Even with a contribution of strength, we would have expected that an effect on muscular endurance as large as that reported by Montgomery et al. (3-1) (an 11-fold difference) would have been detectable.Fifth, motivation to perform affects any exercise that can be terminated voluntarily, not just the APFT. Fortunately, the APFT also has a standard against which a “just good enough” effort can be judged: the minimum score required to graduate from basic training. Had our subjects been motivated to achieve a passing score and nothing more, the mean scores we reported would have been only slightly greater than the minimum passing score (equal to 50). In fact, they were substantially higher.Sixth, by far the most important confounding variable (“white noise”) that affects the gains realized in a physical training regimen is prior level of fitness, not ethnic origin. Adjusting for these in our analysis did not affect our conclusions.With these clarifications in mind, we certainly agree that our results must not be overinterpreted. We agree that the more subtle a gene's contribution is to a complex trait, the more important it is to study the most homogeneous group possible, so as to minimize confounding effects. However, at the time we undertook this study, a very large effect of ACE genotype on muscular endurance had already been reported in a homogeneous group (3-1). Our primary objective was thus to ascertain whether this finding could be extended to a heterogeneous group. We found no evidence that it can. Nonetheless, as pointed out by Drs. Montgomery, Dhamrait, Jones, and Woods, our study had limited statistical power to detect an effect that is manifest only in specific demographic subgroups, and it is certainly plausible that ACE genotype has an effect on performance that can be detected readily only in individuals of a certain specific genetic background. One hypothetical mechanism by which this might occur would be if the effect of ACE genotype on performance is dependent on other, as of yet unidentified genetic factors that are highly prevalent in some but not other demographic groups. Our study was not designed or powered to address this interesting possibility.The challenge, of course, is to design a prospective study that meets the methodological criteria outlined by Drs. Montgomery and Dhamrait, properly accounts for a baseline level of fitness, and yet is large enough to allow for a substantive analysis of different gender and ethnic subgroups with reasonable statistical power. We would welcome, and gladly contribute to, such a study.The following is the abstract of the article discussed in the subsequent letters: Sonna, Larry A., Marilyn A. Sharp, Joseph J. Knapik, Michael Cullivan, Karen C. Angel, John F. Patton, and Craig M. Lilly. Angiotensin-converting enzyme genotype and physical performance during US Army basic training. J Appl Physiol 91: , 2001.—Prior studies have suggested that angiotensin I-converting enzyme (ACE) genotype correlates with superior physical performance in highly selected populations. This study assessed whether such an association exists in a heterogeneous population. Using polymerase chain reaction techniques, we determined the ACE genotypes (insertion/insertion, deletion/insertion, or deletion/deletion) of 62 male and 85 female US Army recruits. Before and after 8 wk of basic training, we determined peak oxygen uptake and performance on the Army Physical Fitness Test (APFT), which includes standardized measures of muscular endurance (sit-ups, push-ups) and a 2-mile run. Subjects of different ACE genotypes had similar peak oxygen uptakes and APFT scores, both before and after training. Subjects with genotype II had higher APFT scores than others, but the differences were not statistically significant. Furthermore, no ACE genotype group had a performance advantage in analyses that adjusted for baseline fitness. We conclude that ACE genotype does not have a strong effect on aerobic power or muscular endurance in healthy, young American adults drawn from an ethnically and geographically diverse population.REFERENCES1-1. Bouchard C, Rankinen T, Chagnon YC, Rice T, Perusse L, Gagnon J, Borecki I, An P, Leon AS, Skinner JS, Wilmore JH, Province M, Rao DC.Genomic scan for maximal oxygen uptake and its response to training in the HERITAGE Family Study.J Appl Physiol882000551559 Link | ISI | Google Scholar1-2. Field LL.Genes predisposing to IDDM in multiplex families.Genet Epidemiol61989101106 Crossref | ISI | Google Scholar1-3. Field LL.Non-HLA region genes in insulin dependent diabetes mellitus.Baillieres Clin Endocrinol Metab51991413438 Crossref | ISI | Google Scholar1-4. 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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, Humphries SE.Human gene for physical performance.Nature3931998221222 Crossref | PubMed | ISI | Google Scholar Download PDF Previous Back to Top FiguresReferencesRelatedInformationRelated articlesAngiotensin-converting enzyme genotype and physical performance during US Army basic training 01 Sep 2001Journal of Applied PhysiologyCited ByPreliminary evidence that letters to the editor are indexed inconsistently in PubMed and in exercise science and physical therapy journals: Implications and resolutions12 September 2020 | Learned Publishing, Vol. 34, No. 2Endokrines System17 August 2017The ACE Gene and Performance25 November 2010The associations of ACE polymorphisms with physical, physiological and skill parameters in adolescents4 January 2006 | European Journal of Human Genetics, Vol. 14, No. 3No Observable Relationship between the ACE Gene Insertion/Deletion Polymorphism and Psychometric IQ and Psychomotor Ability in Chinese Children18 August 2006 | Neuropsychobiology, Vol. 53, No. 4Angiotensin-converting enzyme and human physical performance9 March 2007 | Equine and Comparative Exercise Physiology, Vol. 1, No. 4 More from this issue > Volume 92Issue 4April 2002Pages 1774-1777 Copyright & PermissionsCopyright © 2002 the American Physiological Societyhttps://doi.org/10.1152/japplphysiol.00875.2001PubMed11933889History Published online 1 April 2002 Published in print 1 April 2002 Metrics

We have examined the effect of two beta-fibrinogen gene promoter polymorphisms (-455G>A and -854G>A) on the fibrinogen response to severe exercise in a group of male army recruits undergoing basic training. Fibrinogen was measured pre-training and again serially after severe 48 h final military exercise (FME). Out of 884 subjects, 762 completed training of whom 250 were selected for post-FME study. Fibrinogen levels (g/l) were significantly elevated over baseline levels 2, 48 and 96 h after FME, representing increases of 15.7%, 3.4% and 7.6% (p <0.005; p = 0.05 and p <0.005 respectively), with higher levels in -455A allele carriers than genotype -455GG: 3.17+/-0.05 vs. 2.94+/-0.05 (p <0.001), 2.86+/-0.05 vs. 2.60+/-0.05 (p <0.0005) and 2.98+/-0.06 vs. 2.69+/-0.06 (p <0.0005) at 2, 48 and 96 h respectively. There was no effect of the -854G>A polymorphism on fibrinogen, even after taking into account beta-fibrinogen -455 genotype. Thus the fibrinogen -455G>A polymorphism influences fibrinogen levels following exercise. The effect of genotype might be clinically relevant at times of hyperfibrinogenaemia such as following an acute inflammatory response.

Interleukin-6 (IL-6) synthesized in response to diverse stimuli may play an important role in bridging the inflammatory and atherosclerotic processes. The acute-phase response after coronary artery bypass graft surgery (CABG) is associated with the induction and release of cytokines, such as IL-6. We have examined the effect of common polymorphisms in the IL-6 gene promoter (−174G>C, −572G>C, and −597G>A) on IL-6 levels after elective CABG. DNA extracted from the peripheral blood of 127 patients was amplified by polymerase chain reaction. IL-6 genotypes were resolved by gel electrophoresis after restriction enzyme digestion. Serum IL-6 was measured before surgery and in serial samples at 6, 24, 48, and 72 hours after CABG. Genotype distribution was as expected for a population in Hardy-Weinberg equilibrium for all polymorphisms. Rare allele frequencies (±95% CIs) were similar to those reported previously: −597A 0.36 (0.30 to 0.42), −572C 0.07 (0.04 to 0.10), and −174C 0.37 (0.31 to 0.43). The −174G>C and −597G>A genotypes were in strong allelic association (Δ=0.97, P <0.001). Baseline IL-6 levels did not significantly differ between patients with different genotypes for any polymorphism. However, 6 hours after CABG, peak IL-6 levels were significantly higher ( P =0.03) in carriers of the −572C allele than in those of the −572GG genotype (355±67 versus 216±13 pg/mL, respectively) and in those with genotype −174CC compared with −174G allele carriers (287±31 versus 227±15 pg/mL, respectively; P =0.04). These effects remained statistically significant after adjusting for possible confounders, including age, sex, smoking, duration of cardiopulmonary bypass, aortic cross-clamp time, and total duration of surgery. These data demonstrate that IL-6 promoter polymorphisms influence peak IL-6 production after CABG, suggesting that these polymorphisms, which are functional in vitro, are also functional in vivo, suggesting a genetic influence on IL-6 levels after acute severe injury.