ABNORMAL PASSIVE FORCES IN FROG TIBIALIS ANTERIOR MUSCLES
Bibliographic record
Abstract
INTRODUCTION Typically in force-length relationships of skeletal muscle, the passive forces are much lower than the active forces. These results have been shown in both single fiber experiments and whole muscle experiments [1]. However, abnormally high passive forces were noticed in a pilot study done with the whole tibialis anterior (TA) in the frog, rana pipiens. Surprisingly, single fiber experiments of the same muscle and species have shown a standard force-length relationship with low passive force. Thus, the purpose of this study was to verify the observation of extremely high passive forces made previously and, if true, investigate the range of muscle lengths in which these high pasive forces occur. Possible functional reasons for this phenomenon will be discussed. METHODS The TA and sciatic nerve of three frogs were isolated with surgical techniques. The attached tarsal bone was clamped to a load cell and the knee was pinned. The muscle was then stretched to various lengths and isometrically contracted via nerve stimulation with a platinum hook. A Short rest was given between trials. Whole muscle biopsies were taken and prepared for analysis of sarcomere length within the normal range of motion. The range of muscle lengths in which the animal normally functions was analysed by configuring knee and ankle joint angles to values that were identified for swimming and jumping. [2]. RESULTS All subjects showed very large passive forces on the ascending limb of the force-length relationship (Figure 1). At long muscle lengths, passive forces were up to six times as high as the corresponding active forces. The functional range of muscle lengths for jumping and swimming is 87-95% and 91%-96%, respectivelyof the maximum in vivo muscle length. The shortest in vivo muscle length is about 77% of its maximal in vivo length. DISCUSSION AND CONCLUSIONS It is likely that the high passive forces observed in the frog TA come from the extracellular matrix, as earlier studies with single TA fibers show low passive force [3]. These high passive forces found for the entire muscle have implications for the function of the muscle during every day activities, such as swimming and jumping. It has been demonstrated that frogs produce extremely high muscle power output during jumping [4]. They achieve these high powers by using a catapult mechanism through the plantaris tendon [5]. High passive forces in the TA would be a natural development to counterbalance plantaris forces as the TA is the antagonist muscle to the plantaris. It is also possible that the high passive forces in the TA are used during frog swimming. Since frogs have large webbed feet, a high passive force in the TA allows frogs to use their feet like human swimmers use passive fins at to increase the speed and decrease the energy expenditure of swimming.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".