Exercise-related changes in serum catecholamines and potassium: Effect of sustained exercise above and below lactate threshold

1989 ◽  
Vol 117 (5) ◽  
pp. 1070-1075 ◽  
Author(s):  
Neil L. Coplan ◽  
Gilbert W. Gleim ◽  
James A. Nicholas
Author(s):  
Wojciech Ignatiuk ◽  
Paweł Rompa ◽  
Łukasz Radzimiński ◽  
Robert Dargiewicz ◽  
Zbigniew Jastrzębski

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yuta Seki ◽  
Daisuke Nakashima ◽  
Yasuyuki Shiraishi ◽  
Toshinobu Ryuzaki ◽  
Hidehiko Ikura ◽  
...  

AbstractThe lactate threshold (LT1), which is defined as the first rise in lactate concentration during incremental exercise, has not been non-invasively and conveniently determined in a clinical setting. We aimed to visualize changes in lactate concentration in sweat during exercise using our wearable lactate sensor and investigate the relationship between the lactate threshold (LT1) and ventilatory threshold (VT1). Twenty-three healthy subjects and 42 patients with cardiovascular diseases (CVDs) were enrolled. During exercise, the dynamic changes in lactate values in sweat were visualized in real-time with a sharp continuous increase up to volitional exhaustion and a gradual decrease during the recovery period. The LT1 in sweat was well correlated with the LT1 in blood and the VT1 (r = 0.92 and 0.71, respectively). In addition, the Bland–Altman plot described no bias between the mean values (mean differences: − 4.5 and 2.5 W, respectively). Continuous monitoring of lactate concentrations during exercise can provide additional information for detecting the VT1.


1986 ◽  
Vol 18 (supplement) ◽  
pp. S97
Author(s):  
R. B. Read ◽  
R. A. Boileau ◽  
B. H. Hassey ◽  
J. E. Misner ◽  
B. Bhattacharya

2010 ◽  
Vol 111 (2) ◽  
pp. 365-378 ◽  
Author(s):  
Herbert Gustavo Simões ◽  
Wolysson Carvalho Hiyane ◽  
Ronaldo Esch Benford ◽  
Bibiano Madrid ◽  
Francisco Andriotti Prada ◽  
...  

2006 ◽  
Vol 31 (5) ◽  
pp. 612-620 ◽  
Author(s):  
Lixin Wang ◽  
Takahiro Yoshikawa ◽  
Taketaka Hara ◽  
Hayato Nakao ◽  
Takashi Suzuki ◽  
...  

Various near-infrared spectroscopy (NIRS) variables have been used to estimate muscle lactate threshold (LT), but no study has determined which common NIRS variable best reflects muscle estimated LT. Establishing the inflection point of 2 regression lines for deoxyhaemoglobin (ΔHHbi.p.), oxyhaemoglobin (ΔO2Hbi.p.), and tissue oxygenation index (TOIi.p.), as well as for blood lactate concentration, we then investigated the relationships between NIRS variables and ventilatory threshold (VT), LT, or maximal tissue hemoglobin index (nTHImax) during incremental cycling exercise. ΔHHbi.p. and TOIi.p. could be determined for all 15 subjects, but ΔO2Hbi.p. was determined for only 11 subjects. The mean absolute values for the 2 measurable slopes of the 2 continuous linear regression lines exhibited increased changes in 3 NIRS variables. The workload and VO2 at ΔO2Hbi.p. and nTHImax were greater than those at VT, LT, ΔHHbi.p., and TOIi.p.. For workload and VO2, ΔHHbi.p. was correlated with VT and LT, whereas ΔO2Hbi.p. was correlated with nTHImax, and TOIi.p. with VT and nTHImax. These findings indicate that ΔO2Hb strongly corresponds with local perfusion, and TOI corresponds with both local perfusion and deoxygenation, but that ΔHHb can exactly determine deoxygenation changes and reflect O2 metabolic dynamics. The finding of strongest correlations between ΔHHb and VT or LT indicates that ΔHHb is the best variable for muscle LT estimation.


1940 ◽  
Vol 23 (4) ◽  
pp. 429-432 ◽  
Author(s):  
W. J. V. Osterhout

The ability of Nitella to distinguish electrically between Na+ and K+ (potassium effect) appears to depend on several organic substances (or groups of substances). Of these RMK and RSK determine the mobility and partition coefficient (S) respectively of K+ while RMNa and RSNa do the same for Na+. These substances can vary independently and this variation is susceptible to experimental control.


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