A newly developed feeder and oxygen measurement system reveals the effects of aging and obesity on the metabolic rate of zebrafish.

Metabolic alterations are relevant for the aging process. Declining metabolic rate with age is a common future of many animals, but it is not well understood how it does so. Here, we used zebrafish as a model for understanding how metabolic changes occur during aging and the interaction between aging and obesity on the metabolic rate. The oxygen consumption rate (OCR) has been used as an index of metabolic processes; however, it is difficult to accurately evaluate OCR with movement being considered because zebrafish need to move freely during the OCR measurement. To measure metabolic rate with high accuracy and efficiency, we developed a method for simultaneously collecting data on sequential oxygen consumption and distance moved by zebrafish using optical dissolved-oxygen sensors and the EthoVision video-tracking system as well as an automatic feeding system for zebrafish whereby obese zebrafish were produced by short-term overfeeding treatment. Using these systems, we examined metabolic changes during aging and overfeeding. First, we used 1- to 22-month-old zebrafish to evaluate changes in metabolism during the aging process. Measurements of body mass and length showed that the growth of the body rarely continued beyond 6 months, at which point zebrafish reach adulthood. Spontaneous swimming activity peaked at approximately 6-10 months and declined thereafter. Metabolic rates at low movement dramatically dropped during the first 4 months and gradually decreased with age after 10 months. These data suggest that metabolic aging becomes evident at approximately 10-14 months and that the metabolic rate (low movement) is useful for the detection of age-related metabolic changes in zebrafish. Second, by short-term overfeeding treatment using the automatic feeding system, we found that overweight is a strong risk factor for the development of metabolic disorders in zebrafish, but there was no interaction between obesity and aging on the metabolic rate. Therefore, our data suggest that the aging-related decline in metabolic-rate may be mostly programmed rather than being affected by energy balance disorder.

Successive and discrete spaced conditioning in active avoidance learning in young and aged zebrafish.

We designed an automated device to study active avoidance learning abilities of zebrafish. Open source tools were used for the device control, statistical computing, and graphic outputs of data. Using the system, we developed active avoidance tests to examine the effects of trial spacing and aging on learning. Seven-month-old fish showed stronger avoidance behavior as measured by color preference index with discrete spaced training as compared to successive spaced training. Fifteen-month-old fish showed a similar trend, but with reduced cognitive abilities compared with 7-month-old fish. Further, in 7-month-old fish, an increase in learning ability during trials was observed with discrete, but not successive, spaced training. In contrast, 15-month-old fish did not show increase in learning ability during trials. Therefore, these data suggest that discrete spacing is more effective for learning than successive spacing, with the zebrafish active avoidance paradigm, and that the time course analysis of active avoidance using discrete spaced training is useful to detect age-related learning impairment.