非稳态Vo_2半反应时间与酸碱失衡关系的研究

１０名较高水平（ＨＬ）和１２名一般水平（ＮＬ）运动员以按实际成绩换算得出的跑速在活动跑台上进行了８００ｍ和１５００ｍ跑的测定,其目的是探讨非稳态Ｖｏ２半反应时间（Ｔ１／２ｖｏ２）与酸碱失衡及其恢复过程的关系。结果显示：８００ｍ和１５００ｍ跑时非稳态Ｖｏ２呈单指数函数曲线。ＨＬ者由于氧的运输和利用能力动员快,故Ｖｏ２增加迅速,Ｔ１／２ｖｏ２短。体内缺氧少使得酸碱失衡程度轻,运动能力强,运动后恢复快。Ｔ１／２Ｖｏ２与血乳酸（ＬＡ）及ｐＨ值的半恢复时间（ｔ１／２ＬＡ,ｔ１／２ｐＨ）存在着显著相关（ｒ≥０．７５,Ｐ＜０．０１）,８００ｍ和１５００ｍ的回归方程分别为：ｔ１／２ＬＡ＝５．１１＋１３．６３Ｔ１／２ｖｏ２,ｔ１／２ｐＨ＝４．６２＋１４．３７Ｔ１／２ｖｏ２;ｔ１／２ＬＡ＝６．６３＋５．７４Ｔ１／２ｖｏ２,ｔ１／２ｐＨ＝１．８４＋１３．６５Ｔ１／２ｖｏ２。方程可靠性检验预测值与实测值之间无显著差异。由于酸碱失衡的恢复与疲劳的消除一致,因此利用Ｔ１／２ｖｏ２通过回归方程计算可对运动疲劳恢复过程进行间接的评估。     

P物质对大鼠DRG神经元胞体膜的作用

本文在大鼠ＤＲＧ神经元标本上应用细胞内记录,以确定ＳＰ对ＤＲＧ细胞的膜反应及其可能的离子机制。实验所测ＤＲＧ细胞静息膜电位为－５８．９±８．２ｍＶ（Ｘ±ＳＥ,ｎ＝８１）。传导速度：Ａ_（α／β）细胞为２０．４±４．８ｍ／ｓ（Ｘ±ＳＥ）,范围１４．１－２８．７ｍ／ｓ（４７／６０）;Ａδ及Ｃ类细胞为９．８±５．２ｍ／ｓ,范围１．２－１３．７ｍ／ｓ（１３／６０）。浴槽滴加ＳＰ（１０￣（－７）－３×１０￣（－４）ｍｏｌ／Ｌ）在大多数细胞可引起明显的膜去极化反应（５６／６０）。少数细胞对ＳＰ无反应（４／６０）。在ＳＰ去极化期间膜电导值有所增加,从平均值２．７２×１０￣（－８）ｍｈｏ增加２４．６％（ｎ＝３）。所测逆转电位值在＋４０－＋５０ｍＶ之间（ｎ＝３）。浊流平衡液（ＢＳＳ）中ＮａＣｌ以氯化胆碱置代,或用含ＴＴＸ（１０￣（－５）ｍｏｌ／Ｌ）的ＢＳＳ灌流,可使ＳＰ－去极化幅值大大减小但不能完全消除。而高（２０ｍｍｏｌ／Ｌ）和低（０ｍｍｏｌ／Ｌ）Ｃａ￣（２＋）的ＢＳＳ灌流时,使ＳＰ－去极化幅值相应的增加和降低。用含１０￣（－４）ｍｏｌ／ＬＣｄ￣（２＋）及１０￣（－２）ｍｏｌ／ＬＴＥＡ的ＢＳＳ灌流,均使ＳＰ－去极化明显减小。     

血管紧张素Ⅱ对大鼠心肌肌浆网Ca~(2+),Mg~(2+)-ATPase基因转录调节的影响

观察血管紧张素Ⅱ（ＡｎｇⅡ）对心肌肌浆网Ｃａ２＋,Ｍｇ２＋－ＡＴＰａｓｅ基因（ＳＥＲＣＡ２ａ）转录调节的影响,评价ＤＭＰ８１１对此效应的干预作用．６周龄雄性ＳＤ大鼠随机分为３组,每组６只．组１：生理盐水输注;组２：ＡｎｇⅡ输注＋ＤＭＰ８１１管饲（３ｍｇ·ｄ－１·ｋｇ－１）;组３：ＡｎｇⅡ输注（２００ｎｇ·ｍｉｎ－１·ｋｇ－１．１周后称其体重,取心脏并称重,提取心脏总ＲＮＡ后采用Ｎｏｒｔｈｅｒｎｂｌｏｔ的方法检测ＳＥＲ－ＣＡ２ａ的转录水平,采用ＲＴ－ＰＣＲ检测ＡｎｇⅡ１型受体（ＡＴ１）ｍＲＮＡ水平．实验后,组３心重（ＣＷ）、心重／体重（Ｃ／Ｂ）、ＡＴ１受体转录水平均高于组１（分别增加４．７±０．４％,４．９±０．９％和２４．７±３．５％;Ｐ＜０．０１）,而ＳＥＲＣＡ２ａ基因转录水平显著低于组１（降低２０．１±３．０％,Ｐ＜０．０１）,并且ＳＥＲＣＡ２ａｍＲＮＡ水平与ＡＴ１受体ｍＲＮＡ水平呈负相关（ｒ＝－０．７４,Ｐ＜０．０１）．ＡｎｇⅡ导致的上述改变能被ＤＭＰ８１１完全阻断．ＡｎｇⅡ通过其Ⅰ型受体的介导,诱导了ＳＥＲＣＡ２ａ的转录下调     

丹皮酚对心肌细胞自律性和延迟后除极的影响

目的与方法：采用常规玻璃微电极技术研究丹皮酚对离体心肌细胞自律性（ＡＭ）、延迟后除极（ＤＡＤ） 及触发活动（ＴＡ）的影响。结果：１．８×１０－４ｍｏｌ／Ｌ丹皮酚灌流组,肾上腺素（Ａｄｒ）的阈浓度空白对照组为（１．２８±０．５７）μｍｏｌ／Ｌ,药后为（１．５６±０．５３）μｍｏｌ／Ｌ（ｎ＝９,Ｐ＞０．０５）;用（１．８×１０－ ３） ｍｏｌ／Ｌ丹皮酚（Ｐａｅ）灌流组,Ａｄｒ 浓度由空白对照组的（１．２２ ±０．６２）μｍｏｌ／Ｌ升高到（６．２２±２．１１）μｍｏｌ／Ｌ（ｎ＝９,Ｐ＜０．０１）。１．８×１０－３ｍｏｌ／Ｌ的Ｐａｅ 能明显抑制哇巴因（Ｏｕａ）诱发的ＤＡＤ的幅值,当基本刺激周长为５００,４００,３００ 和２００ ｍｓ 时,其ＤＡＤ幅值从（５．５±２．０）ｍＶ,（７．３±２．１）ｍＶ,（８．０ ±２．４）ｍＶ和（９．２±１．９）ｍＶ减小到（３．０±１．１）ｍＶ、（３．６±１．７）ｍＶ,（４．３±２．０） ｍＶ和（５．９ ±１．６） ｍＶ,Ｐ＜０．０１。当基本刺激周长为２００ ｍｓ时,ＴＡ 数目由５．５±１．０ 降至０．７±０．３（Ｐ＜０．０１）。结论：丹皮酚能抑制心肌细胞ＡＭ、ＤＡＤ及ＴＡ,具有抗心律失常作用     

SNP抑制5-HT诱导的胞内游离钙浓度升高和内钙释放

用Ｆｕｒａ － ２／ＡＭ 荧光测量技术研究了５ － 羟色胺（５－ ＨＴ） 诱导的大鼠尾动脉平滑肌细胞胞内钙升高和一氧化氮（ＮＯ） 的抑制效应。实验表明, 胞外０ｍ ｍｏｌ／ Ｌ Ｃａ２ ＋ 时胞内静息［Ｃａ２ ＋ ］ ｉ 为２０ ．２±８ ．６ｎｍｏｌ／Ｌ（ｎ ＝ ８） 。１０μｍｏｌ／Ｌ ５－ ＨＴ 可诱导出胞内钙库释放引起的瞬态［Ｃａ２ ＋］ｉ 升高,其峰值达２４５ ．７ ±７１．６ｎｍｏｌ／ Ｌ（ｎ ＝ ６） 。１０ － ７ ｍｏｌ／Ｌ 硝普钠（ＳＮＰ） 可抑制５－ ＨＴ 诱导的［Ｃａ２ ＋］ｉ 升高,其峰值浓度降为７５．１±３５ ．９ｎｍｏｌ／Ｌ（ｎ ＝ ５） 。当细胞浴液含２．５ｍ ｍｏｌ／Ｌ Ｃａ２ ＋ 时,静息［Ｃａ２ ＋］ｉ为１１２ ．８ ±１０ ．３ｎｍｏｌ／ Ｌ（ｎ ＝ ５） , 这时１０μｍｏｌ／ Ｌ ５ － ＨＴ 可诱导［Ｃａ２ ＋ ］ ｉ 的峰值为２５２ ．３ ±８０ ．６ｎｍｏｌ／Ｌ（ｎ ＝ ４） ,以及其后平台浓度为１４３ ．０ ±３７ ．６ｎｍｏｌ／Ｌ（ｎ ＝ ４） ,略大于［Ｃａ２ ＋］ｉ 为１１２．８ ±１０ ．３ｎｍｏｌ／Ｌ 的静息浓度,为外钙内流引起。１０ － ７ ｍｏｌ／Ｌ ＳＮＰ 也可抑制５－ ＨＴ 诱导［Ｃａ２ ＋ ］ｉ 平台相浓度。平台浓度由１４３ ±４７     

大肠杆菌精氨酰－tRNA合成酶的变种ArgRS306KR的纯化和基本性质

本文从含ＡｒｇＲＳ３０６ＫＲ基因ａｒｇｓ３０６ＫＲ的ｐＵＣ１８重组质粒的大肠杆菌ＴＧ１转化子中经ＤＥＡＥ－Ｓｅｐｈａｃｅｌ和Ｂｌｕｅ－Ｓｅｐｈａｒｏｓｅ两步柱层析,得到电泳一条带的ＡｒｇＲＳ３０６ＫＲ。纯酶的比活为２７９０单位／毫克。该酶氨酰化和ＡＴＰ～ＰＰｉ交换活力的最适ｐＨ分别为ｐＨ８．３和ｐＨ７．５。氨酰化活力对ＡＴＰ、Ａｒｇ和ｔＲＮＡ的Ｋｍ分别为２．６ｍｍｏｌ／Ｌ、１４．０μｍｏｌ／Ｌ和５．０μｍｏｌ／Ｌ：Ｖｍａｘ为７６３０单位／毫克;ｋｏａｔ为９Ｓ－１。ＡＴＰ～ＰＰｉ交换活力对ＡＴＰ和Ａｒｇ的Ｋｍ分别为８．３ｍｍｏｌ／Ｌ和９９μｍｏｌ／Ｌ;Ｖｍａｘ为１６３２０单位／毫克;ｋｃａｔ为１８Ｓ－１。     

兔心肌细胞核钙转运

本研究在离体家兔心肌细胞核上,观察细胞核钙调节的特征。发现心肌细胞每毫克蛋白质的钱含量较细胞浆高２．６倍,而核总钙含量占细胞总钙含量的１／６。心肌细胞核上存在高新和力的Ｃａ－ＡＴＰａｓｅ,其活性具有Ｃａ＾２＋和ＡＴＰ依赖性,在２．０ｍｍｏｌ／ＬＡＴＰ时,其Ｃａ＾２＋依赖的Ｋａ＝２２６ｎｍｏｌ／Ｌ,Ｖｍａｘ＝３４６０ｎｍｌ／（ｈ．ｍｇ）;在４００ｎｍｏｌ／Ｌ的Ｃａ＾２＋时,其ＡＴＰ依赖的Ｋｍ＝３７６     

α受体激动对绵羊心肌瞬时性内向离子流的影响

用乙酰毒毛旋花子甙元（ＡＳ）０．０５μｍｏｌ／Ｌ诱发绵羊心浦肯野纤维产生稳定的瞬时性内向离子流（Ｉｔｉ）,用普萘洛尔０．５μｍｏｌ／Ｌ阻断β受体,观察α受体激动剂苯肾上腺素（ＰＥ）０．３,１．０μｍｏｌ／Ｌ对Ｉｔｉ幅值与时程的影响。ＰＥ１．０μｍｏｌ／Ｌ灌流２０,５０ｍｉｎ时Ｉｔｉ幅值分别由对照值１２．８±１．９ｎＡ减小至１０．７±１．２ｎＡ（ｎ＝５,Ｐ＜０．０５）与９．６±１．９ｎＡ（ｎ＝５,Ｐ＜０．０１）;ＩｔｉＤ５０时程分别由对照值１４５±２４．４ｍｓ延长至１８３．３±２８．１ｍｓ（ｎ＝５,Ｐ＜０．０５）与２０７．５±３４．２ｍｓ（ｎ＝５,Ｐ＜０．０１）,ＰＥ对Ｉｔｉ的抑制作用呈剂量依赖性与时间依赖性。Ｉｔｉ到达峰值的时间和回复到基线的时间都延长,提示ＰＥ作用下Ｉｔｉ通道动力学发生了变化。如果在β受体激动剂异丙肾上腺素（ＩＳＯ）１．０μｍｏｌ／Ｌ增强Ｉｔｉ的基础上,ＰＥ１．０μｍｏｌ／Ｌ灌流１０ｍｉｎ,对Ｉｔｉ幅值的抑制及时程的延长作用更显著,Ｉｔｉ幅值由对照值１５．６±３．２ｎＡ减小到１０．３±２．２ｎＡ;ＩｔｉＤ５０由９２．５±１４．３ｍｓ延长到１３２．５±３６．０ｍｓ（ｎ＝５,Ｐ＜０．０１）。     

K^＋对大豆下胚轴质膜H^＋—ATPase水解与质子转运活力偶联的影响

以大豆（ Ｇｌｙｃｉｎｅ ｍａｘ Ｌ．） 下胚轴为材料, 采用二相法制得高纯度质膜微囊。实验发现,Ｋ＋ 对质膜Ｈ＋＿ＡＴＰａｓｅ水解活力和转运活力刺激差别显著,对转运活力刺激８５０％ , 对水解活力仅刺激２８ ．２％ 。动力学结果表明,有Ｋ＋时ＡＴＰ水解的Ｋｍ 值为０．７０ ｍｍｏｌ／Ｌ,Ｖｍａｘ 为３４４ ．８ ｎｍｏｌ Ｐｉ·ｍｇ－１ ｐｒｏｔｅｉｎ·ｍｉｎ－１ ; 无Ｋ＋ 时ＡＴＰ水解的Ｋｍ 值为１ ．１４ｍｍｏｌ／Ｌ, Ｖｍａｘ为２８５．７ ｎｍｏｌ Ｐｉ·ｍｇ－１ ｐｒｏｔｅｉｎ·ｍｉｎ－１ 。Ｋ＋ 对ＡＴＰ水解的最适ｐＨ 值也有影响,有Ｋ＋ 时为６ ．５ ,无Ｋ＋ 时降低到６．０ 。进一步实验发现,Ｋ＋ 对羟胺和钒酸钠的抑制作用影响较大,Ｋ＋ 可以提高质膜Ｈ＋＿ＡＴＰａｓｅ 对羟胺和钒酸钠的敏感性。结果表明,Ｋ＋ 可以调节大豆下胚轴质膜Ｈ＋＿ＡＴＰａｓｅ 水解与转运活力之间的偶联程度     

三种类型辐射对质粒超螺旋DNA损伤的研究

用ａｇａｒｏｓｅ电泳和图象处理技术比较了６０Ｃｏγ射线、ＵＶ及低能Ｎ＋离子处理ｐＵＣ１９ＤＮＡ超螺旋结构的损伤效应及若干自由基清除剂的保护效应。结果表明：（１）γ射线和ＵＶ照射干燥ＤＮＡ的损伤显著低于水溶液样品;（２）Ｎ＋离子注入后超螺旋ＤＮＡ的减少（ＳＣ％）与剂量呈良好线性关系,而γ射线和ＵＶ组的ＳＣ％随剂量升高呈指数下降;（３）干燥ＤＮＡγ辐照组的Ｄ３７值为８２０Ｇｙ,ＳＣ完全消失的剂量ＬＤ为３８１４Ｇｙ,ＬＤ／Ｄ３７＝４．６５;ＵＶ照射组的相应值分别为：１．６５Ｊ／ｃｍ２,７．６５Ｊ／ｃｍ２,４．６４;Ｎ＋离子组的相应值为：３．２×１０１５Ｎ＋／ｃｍ２,５．０×１０１５Ｎ＋／ｃｍ２和１．５６。虽然上述三种辐射的剂量单位不同,不能直接比较其相对生物学效应,但从ＬＤ与Ｄ３７的比值可反映ＤＮＡＳＣ破坏的程度和终点剂量（ＳＣ％＝０）的大小。从而看出,Ｎ＋离子（高ＬＥＴ辐射）比γ射线（低ＬＥＴ辐射）ＵＶ（非电离辐射）对ＤＮＡ损伤作用更强;（４）乙醇、甘露醇等自由基清除剂对电离辐射损伤有很强的保护作用,但对ＵＶ损伤未见明显的保护效应     

The relationship of the heart rate deflection point to the ventilatory threshold in trained cyclists

The purpose of this study was to assess the relationship of the heart rate deflection point (HRDP) to the ventilatory threshold (VT) in trained cyclists. Twenty-one endurance-trained cyclists (mean +/- SD: Vo(2)max = 67.6 +/- 4.7 ml x kg x min(-1)) completed a maximal cycle ergometer test of volitional fatigue using a ramped protocol. Ventilatory variables (Ve, Vo(2), Vco(2)) and power were measured online with averages reported every 20 seconds. Heart rate (HR) was recorded every 20 seconds using a Polar monitor. VT was calculated using the excess CO(2) elimination curve. The first derivative of a logistic growth curve fit to the HR-power data produced the HRDP. No significant differences (p > 0.01) existed between HR values at HRDP (171.7 +/- 9.6 b x min(-1)) and VT (169.8 +/- 9.9 b x min(-1)) or between Vo(2) values at HRDP (53.6 +/- 4.2 ml x kg x min(-1)) and VT (52.2 +/- 4.8 ml x kg x min(-1)). But power values at HRDP (318.7 +/- 30.7 W) were significantly different (p < 0.01) from those at VT (334.8 +/- 36.7 W). There were significant relationships between HRDP and VT for the physiological variables of HR (r = 0.92, p < 0.001), Vo(2) (r = 0.72, p < 0.001), and power (r = 0.77, p < 0.001). These findings indicate that HR and Vo(2) at HRDP are not significantly different from the values at VT in trained cyclists. HR values derived from HRDP may be used to set parameters for training intensity. Variability in the speed/power-HRDP relationship across detrained/trained states may be used to evaluate training programs.     

A new non-exercise-based Vo2max prediction equation for aerobically trained men

The purposes of the present study were to (a) modify previously published Vo(2)max equations using the constant error (CE = mean difference between actual and predicted Vo(2)max) values from Malek et al. (28); (b) cross-validate the modified equations to determine their accuracy for estimating Vo(2)max in aerobically trained men; (c) derive a new non- exercise-based equation for estimating Vo(2)max in aerobically trained men if the modified equations are not found to be accurate; and (d) cross-validate the new Vo(2)max equation using the predicted residual sum of squares (PRESS) statistic and an independent sample of aerobically trained men. One hundred and fifty-two aerobically trained men (Vo(2)max mean +/- SD = 4,154 +/- 629 ml.min(-1)) performed a maximal incremental test on a cycle ergometer to determine actual Vo(2)max. An aerobically trained man was defined as someone who had participated in continuous aerobic exercise 3 or more sessions per week for a minimum of 1 hour per session for at least the past 18 months. Nine previously published Vo(2)max equations were modified for use with aerobically trained men. The predicted Vo(2)max values from the 9 modified equations were compared to actual Vo(2)max by examining the CE, standard error of estimate (SEE), validity coefficient (r), and total error (TE). Cross-validation of the modified non-exercise-based equations on a random subsample of 50 subjects resulted in a %TE > or = 13% of the mean of actual Vo(2)max. Therefore, the following non-exercise-based Vo(2)max equation was derived from a random subsample of 112 subjects: Vo(2)max (ml.min(-1)) = 27.387(weight in kg) + 26.634(height in cm) - 27.572(age in years) + 26.161(h.wk(-1) of training) + 114.904(intensity of training using the Borg 6-20 scale) + 506.752(natural log of years of training) - 4,609.791 (R = 0.82, R(2) adjusted = 0.65, and SEE = 378 ml.min(-1)). Cross-validation of this equation on the remaining sample of 40 subjects resulted in a %TE of 10%. Therefore, the non-exercise-based equation derived in the present study is recommended for estimating Vo(2)max in aerobically trained men.     

The respiratory Vco2/Vo2 exchange ratio during maximum exercise and its use as a predictor of maximum oxygen uptake

The purpose of this study was to define carefully the dynamic relationship between oxygen uptake (as % Vo2max) and the respiratory Vco2/Vo2 exchange ratio (R) during maximum progressive treadmill exercise in trained and untrained men, and to determine if this relationship could be used to predict Vo2max. Respiratory gases were continuously monitored and the %Vo2max/R time profile calculated at 15 sec intervals over the final 5 min of each test. Young sedentary men (controls, n = 122) and over-60y sedentary men (n = 30) shared the same %Vo2max/R relationship but the latter group had lower R values at Vo2max (1.06 +/- 0.03 vs 1.08 +/- 0.03, p less than 0.01) than controls. Endurance trained men (n = 45) had a lower %Vo2max/R relationship and higher R at Vo2max (1.11 +/- 0.02, p less than 0.001), team athletes (n = 98) had a lower %Vo2max/R relationship but lower R at Vo2max (1.06 +/- 0.03, p less than 0.001) and the weight trained (n = 19) had a higher %Vo2max/R relationship and lower R at Vo2max (1.01 +/- 0.02, p less than 0.001) all compared to controls. From the %Vo2max/R time profile, the following formulae were devised for the estimation of Vo2max (Vo2maxR): Young Sedentary, Vo2maxR = Vo2R (3.000-1.874 R); Over-60y Sedentary, Vo2maxR = Vo2R (3.457-2.345 R); Endurance Trained, Vo2max = Vo2R (1.980-0.912 R); Team Athletes, Vo2maxR = Vo2R (2.805-1.726 R); Weight Trained, Vo2maxR = Vo2R (4.236-3.191 R).(ABSTRACT TRUNCATED AT 250 WORDS)     

The effects of nightly normobaric hypoxia and high intensity training under intermittent normobaric hypoxia on running economy and hemoglobin mass.

We investigated the effects of nightly intermittent exposure to hypoxia and of training during intermittent hypoxia on both erythropoiesis and running economy (RE), which is indicated by the oxygen cost during running at submaximal speeds. Twenty-five college long- and middle- distance runners [maximal oxygen uptake (Vo(2max)) 60.3 +/- 4.7 ml x kg(-1) x min(-1)] were randomly assigned to one of three groups: hypoxic residential group (HypR, 11 h/night at 3,000 m simulated altitude), hypoxic training group (HypT), or control group (Con), for an intervention of 29 nights. All subjects trained in Tokyo (altitude of 60 m) but HypT had additional high-intensity treadmill running for 30 min at 3,000 m simulated altitude on 12 days during the night intervention. Vo(2) was measured at standing rest during four submaximal speeds (12, 14, 16, and 18 km/h) and during a maximal stage to volitional exhaustion on a treadmill. Total hemoglobin mass (THb) was measured by carbon monoxide rebreathing. There were no significant changes in Vo(2max), THb, and the time to exhaustion in all three groups after the intervention. Nevertheless, HypR showed approximately 5% improvement of RE in normoxia (P < 0.01) after the intervention, reflected by reduced Vo(2) at 18 km/h and the decreased regression slope fitted to Vo(2) measured during rest position and the four submaximal speeds (P < 0.05), whereas no significant corresponding changes were found in HypT and Con. We concluded that our dose of intermittent hypoxia (3,000 m for approximately 11 h/night for 29 nights) was insufficient to enhance erythropoiesis or Vo(2max), but improved the RE at race speed of college runners.     

Is running performance enhanced with creatine serum ingestion?

Runners Advantage (RA) creatine (Cr) serum has been marketed to increase running performance. To test this claim, cross-country runners completed baseline testing (BASE), an outdoor 5,000-m run followed by treadmill Vo(2)max testing on the same day. Subjects repeated testing after ingesting 5 ml of RA (n = 13) containing 2.5 g of Cr or placebo (n = 11). Heart rate (HR), rating of perceived exertion (RPE), and run time were recorded. With RA (56.48 +/- 8.93 ml.kg(-1.)min(-1)), Vo(2)max was higher (p = 0.01) vs. BASE (54.07 +/- 9.36 ml.kg(-1.)min(-1)), yet the magnitude of the increase was within the coefficient of variation of Vo(2)max. No effect of RA on maximal HR was exhibited, yet Vco(2)max and duration of incremental exercise were significantly higher (p < 0.025) vs. BASE. Vo(2)max was similar in PL (58.85 +/- 6.67 ml.kg(-1).min(-1)) and BASE (57.28 +/- 7.22 ml.kg(-1.)min(-1)). With RA, the 5,000-m time was unchanged, and RPE was lower (p < 0.025) vs. BASE. These data do not support the ergogenic claims of RA in its current form and dose.     

Heart rate deflection point as a strategy to defend stroke volume during incremental exercise.

The purpose of this study was to examine whether the heart rate (HR) deflection point (HRDP) in the HR-power relationship is concomitant with the maximal stroke volume (SV(max)) value achievement in endurance-trained subjects. Twenty-two international male cyclists (30.3 +/- 7.3 yr, 179.7 +/- 7.2 cm, 71.3 +/- 5.5 kg) undertook a graded cycling exercise (50 W every 3 min) in the upright position. Thoracic impedance was used to measure continuously the HR and stroke volume (SV) values. The HRDP was estimated by the third-order curvilinear regression method. As a result, 72.7% of the subjects (HRDP group, n = 16) presented a break point in their HR-work rate curve at 89.9 +/- 2.8% of their maximal HR value. The SV value increased until 78.0 +/- 9.3% of the power associated with maximal O(2) uptake (Vo(2 max)) in the HRDP group, whereas it increased until 94.4 +/- 8.6% of the power associated with Vo(2 max) in six other subjects (no-HRDP group, P = 0.004). Neither SV(max) (ml/beat or ml.beat(-1).m(-2)) nor Vo(2 max) (ml/min or ml.kg(-1).min(-1)) were different between both groups. However, SV significantly decreased before exhaustion in the HRDP group (153 +/- 44 vs. 144 +/- 40 ml/beat, P = 0.005). In the HRDP group, 62% of the variance in the power associated with the SV(max) could also be predicted by the power output at which HRDP appeared. In conclusion, in well-trained subjects, the power associated with the SV(max)-HRDP relationship supposed that the HR deflection coincided with the optimal cardiac work for which SV(max) was attained.     

The metabolic cost of hatha yoga

To determine the metabolic and heart rate (HR) responses of hatha yoga, 26 women (19-40 years old) performed a 30-minute hatha yoga routine of supine lying, sitting, and standing asanas (i.e., postures). Subjects followed identical videotaped sequences of hatha yoga asanas. Mean physiological responses were compared to the physiological responses of resting in a chair and walking on a treadmill at 93.86 m.min(-1) [3.5 miles per hour (mph)]. During the 30-minute hatha yoga routine, mean absolute oxygen consumption (Vo(2)), relative Vo(2), percentage maximal oxygen consumption (%Vo(2)R), metabolic equivalents (METs), energy expenditure, HR, and percentage maximal heart rate (%MHR) were 0.45 L.min(-1), 7.59 ml.kg(-1).min(-1), 14.50%, 2.17 METs, 2.23 kcal.min(-1), 105.29 b.min(-1), and 56.89%, respectively. When compared to resting in a chair, hatha yoga required 114% greater O(2) (L.min(-1)), 111% greater O(2)(ml.kg(-1).min(-1)), 4,294% greater %Vo(2)R, 111% greater METs, 108% greater kcal.min(-1), 24% greater HR, and 24% greater %MHR. When compared to walking at 93.86 m.min(-1), hatha yoga required 54% lower O(2)(L.min(-1)), 53% lower O(2)(ml.kg(-1).min(-1)), 68% lower %Vo(2)R, 53% lower METs, 53% lower kcal.min(-1), 21% lower HR, and 21% lower %MHR. The hatha yoga routine in this study required 14.50% Vo(2)R, which can be considered a very light intensity and significantly lighter than 44.8% Vo(2)R for walking at 93.86 m.min(-1) (3.5 mph). The intensity of hatha yoga may be too low to provide a training stimulus for improving cardiovascular fitness. Although previous research suggests that hatha yoga is an acceptable form of physical activity for enhancing muscular fitness and flexibility, these data demonstrate that hatha yoga may have little, if any, cardiovascular benefit.     

The accuracy of the American College of Sports Medicine metabolic equation for walking at altitude and higher-grade conditions

The purpose of this study was to examine the accuracy of the American College of Sports Medicine (ACSM) walking equation at low walking speeds, altitude (1,550 m), and higher grades. Twenty men and women (mean +/- SD, age, 28 +/- 6 years; height, 171 +/- 13 cm; weight, 67.8 +/- 18.1 kg) completed 2 randomized testing sessions under altitude (AL) (P(I)o(2) = 123.1 mm Hg [20.93%]) and sea level control (SLC) (P(I)o(2) = 147.3 mm Hg [25.00%]) conditions. Steady-state oxygen uptake (Vo(2)) was measured while subjects walked at 50 m.min(-1) at 8 separate grades (0, 5, 10, 15, 18, 21, 24, and 27%). Steady-state Vo(2) measurements from the last 2 minutes of each grade in AL and SLC were compared to the predicted Vo(2) of each grade according to the ACSM walking equation. Mean Vo(2) differences between predicted and AL values ranged from -0.5 to 1.4 ml.kg(-1).min(-1), averaged -0.1 ml.kg(-1).min(-1) across all grades, and were significant (p < 0.05) at 0 percent grade. Mean Vo(2) differences between predicted and SLC values ranged from 0.6 to 3.0 ml.kg(-1).min(-1), averaged 1.4 ml.kg(-1).min(-1) across all grades, and were statistically significant (p < 0.05) at 0 and 5 percent. The standard error of the estimate (SEE) for the prediction of Vo(2) under AL and SLC were 2.2 and 2.0 ml.kg(-1).min(-1), respectively. Total errors for the prediction of Vo(2)max under AL and SLC were 2.3 and 2.6 ml.kg(-1).min(-1), respectively. Overall, the findings indicate that the current ACSM prediction equation for walking is appropriate for application at low speeds, moderate altitude, and higher grades.     

The influence of cardiorespiratory fitness on the decrement in maximal aerobic power at high altitude

There are conflicting reports in the literature which imply that the decrement in maximal aerobic power experienced by a sea-level (SL) resident sojourning at high altitude (HA) is either smaller or larger for the more aerobically "fit" person. In the present study, data collected during several investigations conducted at an altitude of 4300 m were analyzed to determine if the level of aerobic fitness influenced the decrement in maximal oxygen uptake (VO2max) at HA. The VO2max of 51 male SL residents was measured at an altitude of 50 m and again at 4300 m. The subjects' ages, heights, and weights (mean +/- SE) were 22 +/- 1 yr, 177 +/- 7 cm and 78 +/- 2 kg, respectively. The subjects' VO2max ranged from 36 to 60 ml X kg -1 X min -1 (mean +/- SE = 48 +/- 1) and the individual values were normally distributed within this range. Likewise, the decrement in VO2max at HA was normally distributed from 3 ml X kg-1 X min-1 (9% VO2max at SL) to 29 ml X kg-1 X min-1 (54% VO2max at SL), and averaged 13 +/- 1 ml X kg-1 X min-1 (27 +/- 1% VO2max at SL). The linear correlation coefficient between aerobic fitness and the magnitude of the decrement in VO2max at HA expressed in absolute terms was r = 0.56, or expressed as % VO2max at SL was r = 0.30; both were statistically significant (p less than 0.05).(ABSTRACT TRUNCATED AT 250 WORDS)     

Preexercise metabolic alkalosis induced via bicarbonate ingestion accelerates Vo2 kinetics at the onset of a high-power-output exercise in humans.

The present study investigated the effect of preexercise metabolic alkalosis on the primary component of oxygen uptake (Vo(2)) kinetics, characterized by tau(1). Seven healthy physically active nonsmoking men, aged 22.4 +/- 1.8 (mean +/- SD) yr, maximum Vo(2) (Vo(2 max)) 50.4 +/- 4 ml.min(-1).kg(-1), performed two bouts of cycling, corresponding to 40 and 87% of Vo(2 max), lasting 6 min each, separated by a 20-min pause, once as a control study and a few days later at approximately 90 min after ingestion of 3 mmol/kg body wt of NaHCO(3). Blood samples for measurements of bicarbonate concentration and hydrogen ion concentration were taken from antecubital vein via catheter. Pulmonary Vo(2) was measured continuously breath by breath. The values of tau(1) were calculated by using six various approaches published in the literature. Preexercise level of bicarbonate concentration after ingestion of NaHCO(3) was significantly elevated (P < 0.01) compared with the control study (28.96 +/- 2.11 vs. 24.84 +/- 1.18 mmol/l; P < 0.01), and [H(+)] was significantly (P < 0.01) reduced (42.79 +/- 3.38 nmol/l vs. 46.44 +/- 3.51 nmol/l). This shift (P < 0.01) was also present during both bouts of exercise. During cycling at 40% of Vo(2 max), no significant effect of the preexercise alkalosis on the magnitude of tau(1) was found. However, during cycling at 87% of Vo(2 max), the tau(1) calculated by all six approaches was significantly (P < 0.05) reduced, compared with the control study. The tau(1) calculated as in Borrani et al. (Borrani F, Candau R, Millet GY, Perrey S, Fuchsloscher J, and Rouillon JD. J Appl Physiol 90: 2212-2220, 2001) was reduced on average by 7.9 +/- 2.6 s, which was significantly different from zero with both the Student's t-test (P = 0.011) and the Wilcoxon's signed-ranks test (P = 0.014).