Metabolic Cage (Indirect Calorimetry)

Overview

Metabolic cage systems (indirect calorimetry) provide comprehensive, continuous monitoring of whole-body energy metabolism by measuring oxygen consumption (VO2), carbon dioxide production (VCO2), and the respiratory exchange ratio (RER = VCO2/VO2) over extended periods (24-72 hours). The RER indicates substrate utilization: values near 0.7 indicate predominantly fat oxidation, while values near 1.0 indicate carbohydrate oxidation. Combined with simultaneous measurement of food intake, water intake, and locomotor activity, metabolic cages generate a complete metabolic profile under controlled conditions.

Indirect calorimetry is essential for phenotyping obesity, diabetes, and metabolic syndrome models, evaluating the thermogenic effects of pharmacological compounds, and understanding how circadian rhythms, diet composition, and genetic background modulate energy balance. The ability to measure energy expenditure (heat production, computed from VO2 and RER via the Weir equation) rather than just food intake is critical because two animals can have identical caloric intake but very different metabolic rates.

ConductMaze interfaces with metabolic cage hardware to stream gas exchange data, food/water consumption, and activity counts in real time. The software computes derived parameters (RER, heat, cumulative intake), performs light/dark cycle segmentation, generates circadian rhythm plots, and exports analysis-ready datasets. ANCOVA-adjusted metabolic comparisons (normalizing to lean mass) are supported for cross-genotype or treatment comparisons.

Trial Flow

start

Acclimation

Subject placed in metabolic cage, 24h acclimation (data discarded)

process

Recording Start

Begin continuous VO2/VCO2/activity recording

output

Gas Sampling

Sequential cage sampling with reference air calibration

output

Intake Monitoring

Food/water mass logged at each sampling interval

output

Activity Tracking

IR beam-break arrays record ambulatory activity

decision

Light/Dark Segment

Software segments data by circadian phase

end

Recording End

Compute 24h averages, light/dark means, export data

Parameters

ParameterTypeDefaultDescription
Recording Durationhours48Total metabolic data collection period (after acclimation)
Acclimation Periodhours24Time in cage before data collection begins
Sampling Intervalseconds600Time between gas measurements per cage
Flow RateL/min0.5Air flow rate through each cage
Light Cycleenum12L:12DLight/dark schedule during recording
Temperature°C22Ambient temperature in metabolic chamber
DietenumStandard chowDiet type during measurement period

Metrics

MetricUnitDescription
VO2mL/kg/hOxygen consumption rate — primary metabolic rate indicator
VCO2mL/kg/hCarbon dioxide production rate
RERratioVCO2/VO2 — substrate utilization index (0.7=fat, 1.0=carb)
Energy Expenditurekcal/hHeat production computed via Weir equation
Food Intakeg/dayCumulative food consumption per 24-hour period
Water IntakemL/dayCumulative water consumption per 24-hour period
Activity Countscounts/hAmbulatory beam breaks per hour — locomotor activity
Light/Dark Ratio (VO2)ratioDark-phase VO2 / Light-phase VO2 — circadian metabolic amplitude

Sample Data

SubjectGroupPhaseVO2_mL_kg_hREREE_kcal_hFood_gActivity_counts

Representative data for illustration purposes. Actual values will vary by species, strain, and experimental conditions.

Applications

  • 1
    Obesity researchmetabolic phenotyping of diet-induced and genetic obesity models (ob/ob, db/db)
  • 2
    Diabetes drug developmentcompound effects on energy expenditure, RER, and food intake
  • 3
    Circadian biologymetabolic rhythm disruption from shift-work models or clock gene mutations
  • 4
    Thermogenesisbrown adipose tissue activation and UCP1-dependent heat production
  • 5
    Exercise physiologyresting metabolic rate before and after chronic exercise interventions

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