m-Octopamine: Normal Occurrence with p-Octopamine in Mammalian Sympathetic Nerves

The development of a radiochemical enzyme assay for p-octopamine in 1969 led to its identification in a large number of invertebrate nerve systems and in mammalian sympathetic nerves. The original method by which p-octopamine was measured has now been found to be nonspecific; however, modifications of this procedure can determine both m- and p-octopamine. We recently developed a new specific method for the unequivocal identification and quantitative determination in tissue of the six octopamine and synephrine isomers. With this method--negative chemical ionization gas chromatography-mass spectrometry--the more physiologically active m-octopamine has been found in association with p-octopamine in 10 organs of the rat. m-Octopamine is present in concentrations equal to those of p-octopamine in heart, spleen, and liver and in concentrations from 30 to 60% of p-octopamine in adrenals, vas deferens, brain, kidney, large intestine, bladder, and lungs. In vivo inhibition of monoamine oxidase markedly increased the concentrations of both m- and p-octopamine in all organs examined. Both amines were virtually absent from all organs except the adrenals following chemical sympathectomy with 6-hydroxydopamine, thereby establishing that m- and p-octopamine are localized within sympathetic nerve endings.     

Disruption of estrous cycles in exercise-trained rats

The female Sprague-Dawley rat was evaluated as an animal model for the menstrual irregularities that are common in women athletes. Daily vaginal smears revealed that estrous cycles were markedly disrupted in rats during a 10-week exercise training program, while cycles remained normal in sedentary rats. Compared to 9 sedentary rats, the 10 exercise-trained rats had longer mean cycle lengths and fewer estrus smears. Six of the exercise-trained rats, but none of the sedentary rats, had an "anestrus period" with more than twice the normal interval between estrus smears; one exercise-trained rat became essentially acyclic. Weight gain during the 10-week training program was lower in exercise-trained rats than in sedentary rats. Colonic temperatures, monitored at rest and during 30 min of exercise, were slightly lower in exercise-trained rats with irregular estrous cycles than in exercise-trained rats with regular cycles, indicating that unusually elevated body temperatures during exercise are not responsible for exercise-related reproductive acyclicity. It is concluded that the female Sprague-Dawley rat may be a useful animal model for the study of menstrual irregularities associated with exercise training.     

Effect of an exercise regimen on development of hypertension in rats

The possibility that a forced exercise regimen might prevent the development of hypertension induced in rats both by renal encapsulation and chronic administration of deoxycorticosterone acetate (DOCA) and NaCl has been studied. In renal hypertensive rats, forced exercise at 0.4 to 1.25 miles/day, 7 days/wk for 16-22 wk failed to prevent the development of hypertension and cardiomegaly and reduced renal concentrating ability accompanying the hypertension. In DOCA-treated rats (10 mg/wk), forced exercise at 0.4 and 0.8 mile/day, 7 days/wk for 16 wk also failed to prevent both the development of hypertension and cardiomegaly. A review of data of others reveals that exercise may delay the development of hypertension in both Dahl salt-sensitive and spontaneously hypertensive (SHR) rats and may modestly reduce the maximal level of pressure attained. Of the four models of hypertension studied to date in rats, the Dahl salt-sensitive strain appears to be the one that responded best to exercise, although blood pressure eventually reached that of sedentary controls.     

The effect of ambient temperature on beta-adrenergic responsiveness in rats.

The responses of tail skin and colonic temperatures of female rats to ambient temperatures of 20, 22, 24, 26, 28, and 30 degrees C were measured. Within this range, colonic temperature was stable while tail skin temperature increased linearly with increasing ambient temperature. Administration of the beta-adrenergic agonist, d,l-isoproterenol, at 10.0, 25.0, and 62.5 micrograms/kg, sc, at each ambient temperature was accompanied by increases in tail skin and colonic temperatures that were dependent on both the dose of isoproterenol administered and the ambient temperature. The integrated responses of tail skin temperature following administration of the three doses of isoproterenol were maximal at an ambient temperature of 26 degrees C while the integrated responses of colonic temperature were maximal at 30 degrees C. The results suggest that tests of beta-adrenergic responsiveness using this technique should be performed at an ambient temperature of 26 degrees C for maximal sensitivity.     

Response surface optimization for joint contact model evaluation

When optimization is used to evaluate a joint contact model's ability to reproduce experimental measurements, the high computational cost of repeated contact analysis can be a limiting factor. This paper presents a computationally-efficient response surface optimization methodology to address this limitation. Quadratic response surfaces were fit to contact quantities (contact force, maximum pressure, average pressure, and contact area) predicted by a discrete element contact model of the tibiofemoral joint for various combinations of material modulus and relative bone pose (i.e., position and orientation). The response surfaces were then used as surrogates for costly contact analyses in optimizations that minimized differences between measured and predicted contact quantities. The methodology was evaluated theoretically using six sets of synthetic (i.e., computer-generated) contact data, and practically using one set of experimental contact data. For the synthetic cases, the response surface optimizations recovered all contact quantities to within 3.4% error. For the experimental case, they matched all contact quantities to within 6.3% error except for maximum contact pressure, which was in error by up to 50%. Response surface optimization provides rapid evaluation of joint contact models within a limited range of relative bone poses and can help identify potential weaknesses in contact model formulation and/or experimental data quality.     

Predicting knee replacement damage in a simulator machine using a computational model with a consistent wear factor

Wear of ultrahigh molecular weight polyethylene remains a primary factor limiting the longevity of total knee replacements (TKRs). However, wear testing on a simulator machine is time consuming and expensive, making it impractical for iterative design purposes. The objectives of this paper were first, to evaluate whether a computational model using a wear factor consistent with the TKR material pair can predict accurate TKR damage measured in a simulator machine, and second, to investigate how choice of surface evolution method (fixed or variable step) and material model (linear or nonlinear) affect the prediction. An iterative computational damage model was constructed for a commercial knee implant in an AMTI simulator machine. The damage model combined a dynamic contact model with a surface evolution model to predict how wear plus creep progressively alter tibial insert geometry over multiple simulations. The computational framework was validated by predicting wear in a cylinder-on-plate system for which an analytical solution was derived. The implant damage model was evaluated for 5 million cycles of simulated gait using damage measurements made on the same implant in an AMTI machine. Using a pin-on-plate wear factor for the same material pair as the implant, the model predicted tibial insert wear volume to within 2% error and damage depths and areas to within 18% and 10% error, respectively. Choice of material model had little influence, while inclusion of surface evolution affected damage depth and area but not wear volume predictions. Surface evolution method was important only during the initial cycles, where variable step was needed to capture rapid geometry changes due to the creep. Overall, our results indicate that accurate TKR damage predictions can be made with a computational model using a constant wear factor obtained from pin-on-plate tests for the same material pair, and furthermore, that surface evolution method matters only during the initial "break in" period of the simulation.     

Crank inertial load affects freely chosen pedal rate during cycling.

Cyclists seek to maximize performance during competition, and gross efficiency is an important factor affecting performance. Gross efficiency is itself affected by pedal rate. Thus, it is important to understand factors that affect freely chosen pedal rate. Crank inertial load varies greatly during road cycling based on the selected gear ratio. Nevertheless, the possible influence of crank inertial load on freely chosen pedal rate and gross efficiency has never been investigated. This study tested the hypotheses that during cycling with sub-maximal work rates, a considerable increase in crank inertial load would cause (1) freely chosen pedal rate to increase, and as a consequence, (2) gross efficiency to decrease. Furthermore, that it would cause (3) peak crank torque to increase if a constant pedal rate was maintained. Subjects cycled on a treadmill at 150 and 250W, with low and high crank inertial load, and with preset and freely chosen pedal rate. Freely chosen pedal rate was higher at high compared with low crank inertial load. Notably, the change in crank inertial load affected the freely chosen pedal rate as much as did the 100W increase in work rate. Along with freely chosen pedal rate being higher, gross efficiency at 250W was lower during cycling with high compared with low crank inertial load. Peak crank torque was higher during cycling at 90rpm with high compared with low crank inertial load. Possibly, the subjects increased the pedal rate to compensate for the higher peak crank torque accompanying cycling with high compared with low crank inertial load.     

Implantable sensor technology: measuring bone and joint biomechanics of daily life in vivo

Stresses and strains are major factors influencing growth, remodeling and repair of musculoskeletal tissues. Therefore, knowledge of forces and deformation within bones and joints is critical to gain insight into the complex behavior of these tissues during development, aging, and response to injury and disease. Sensors have been used in vivo to measure strains in bone, intraarticular cartilage contact pressures, and forces in the spine, shoulder, hip, and knee. Implantable sensors have a high impact on several clinical applications, including fracture fixation, spine fixation, and joint arthroplasty. This review summarizes the developments in strain-measurement-based implantable sensor technology for musculoskeletal research.