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Reference values of respiratory and peripheral muscle function in rats.
E Barreiro1, J Marín-Corral, F Sanchez
1Pulmonology Department-Muscle and Respiratory System Research Unit, IMIM-Hospital del Mar, Health and Experimental Sciences Department (CEXS), Universitat Pompeu Fabra, Barcelona Biomedical Research Park (PRBB), Barcelona, Catalonia, Spain. ebarreiro@imim.es
Journal of Animal Physiology and Animal Nutrition
|July 29, 2010
Summary
This study establishes predictive values for maximal inspiratory pressure (MIP) and grip strength in healthy rats. These findings provide essential reference ranges for assessing muscle function in laboratory animals.
Area of Science:
- Physiology
- Animal Models
- Respiratory and Muscle Function
Background:
- Skeletal muscle dysfunction is a common feature of many prevalent diseases.
- Predictive values are crucial for disease diagnosis and prognosis.
- Reference values for muscle function evaluation in experimental animals are lacking.
Purpose of the Study:
- To establish predictive values for maximal inspiratory pressure (MIP) and grip strength in healthy rats.
- To provide reference ranges for in vivo muscle function assessments in rodent models.
Main Methods:
- Non-invasive measurement of MIP and grip strength in 70 healthy rats over five weeks.
- Grouping rats by body weight (250-399g) and length (37.0-44.0cm).
- Calculation of weight- and length-percentile distributions and regression equations.
Main Results:
- MIP and grip strength were significantly greater in heavier and longer rats.
- Direct correlations were observed between rat body weight/length and muscle function measurements.
- Predictive equations relating rat size to MIP and grip strength were determined.
Conclusions:
- The study provides significant predictive equations for MIP and grip strength in rats.
- These equations will aid scientists in estimating respiratory and peripheral muscle dysfunction in laboratory animals.
- This research offers valuable tools for follow-up and intervention studies in animal models.
