Field-based adipose tissue quantification in sea turtles using bioelectrical impedance spectroscopy validated with CT...

Area of Science:

• Wildlife Ecology
• Animal Physiology
• Biotechnology

Background:

• Adipose tissue loss in wildlife signifies poor health and is linked to environmental stressors.
• Current body condition indices (BCI) lack predictive accuracy for assessing adipose tissue mass.
• There is a need for quantitative methods to accurately assess wildlife nutritional status.

Purpose of the Study:

• To calibrate bioelectrical impedance spectroscopy (BIS) as a quantitative method for assessing adipose tissue mass in wildlife.
• To develop a standardized BIS protocol for ecological studies.
• To improve upon the predictive power of traditional body condition indices.

Main Methods:

• Bioelectrical impedance spectroscopy (BIS) was calibrated using sea turtles as model organisms.
• Computed tomography (CT) scans were used as a reference method for quantifying adipose tissue.
• An artificial intelligence (AI) model was developed to automate adipose tissue quantification from CT images.

Main Results:

• A prediction equation was established to estimate adipose tissue mass using BIS measurements, body mass, length, and time after capture.
• The inclusion of impedance parameters significantly improved the accuracy of adipose tissue percentage prediction (mean bias 0.11%-0.61%) compared to body mass alone (mean bias 6.35%).
• The developed BIS protocol demonstrated higher accuracy than conventional BCI methods.

Conclusions:

• Standardized BIS provides a robust, quantitative method for assessing wildlife nutritional and health status.
• This protocol can be applied to various species for BIS validation.
• Accurate wildlife health assessments using BIS can inform conservation and management decisions.