Back

Colony maintenance and the behavioral and physiological characteristics of selectively bred obesity prone and obesity resistant rats.

Sales Colquitt, J.; Raycraft, L. M.; Calkins, R. J.; Ortego-Dominguez, M.; Ferrario, C. R.

2026-07-09 physiology
10.64898/2026.07.03.736414 bioRxiv
Show abstract

Obesity arises from interactions between several factors including physiology, environment and genes. Studies in humans have revealed that up to 70% of overweight and obesity can be attributed to biological and genetic factors. Thus, rodent models that capture innate susceptibility or resistance to obesity have been invaluable for disentangling inherent drivers of obesity from neurobiological alterations that occur in response to consumption of obesogenic foods and/or increased adiposity. For example, studies of rats selectively bred for their propensity vs resistance to diet-induced weight gain (DIO and DR) have uncovered differences in hypothalamic circuits involved in leptin signaling and revealed relationships between susceptibility to obesity and motivational response to food cues, as well as inherent and diet-induced alterations in mesocorticolimbic systems that differ between these populations. Maintaining selectively bred lines in a closed breeding population requires the periodic introduction of new genes to avoid inbreeding. Here we describe a process for maintaining these lines, characterize key phenotypes across the selection process and verify weight gain and obesity phenotypes in the resulting colony. In addition, given the central role of the striatum in motivation for food, we examined basal striatal function and food motivation in these refreshed lines using whole-cell patch clamping and instrumental procedures. Key weight and metabolic phenotypes were maintained in the resulting colony, as was enhanced motivation for food in obesity prone rats. This provides a strong basis for examination of interactions between genes, environment and neurobehavioral plasticity that promote weight gain and obesity.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Obesity
21 papers in training set
Top 0.1%
27.0%
2
eLife
5828 papers in training set
Top 15%
7.4%
3
The Journal of Physiology
150 papers in training set
Top 0.3%
6.8%
4
PLOS ONE
5266 papers in training set
Top 30%
5.2%
5
Molecular Metabolism
112 papers in training set
Top 0.5%
4.4%
50% of probability mass above
6
Scientific Reports
3612 papers in training set
Top 23%
4.4%
7
Hormones and Behavior
45 papers in training set
Top 0.1%
3.3%
8
Acta Physiologica
17 papers in training set
Top 0.1%
2.4%
9
Journal of Neuroendocrinology
22 papers in training set
Top 0.1%
2.2%
10
Nature Communications
5641 papers in training set
Top 41%
2.2%
11
Appetite
18 papers in training set
Top 0.2%
1.8%
12
Endocrinology
43 papers in training set
Top 0.4%
1.5%
13
International Journal of Molecular Sciences
494 papers in training set
Top 10%
1.4%
14
Physiological Genomics
16 papers in training set
Top 0.2%
1.1%
15
Cell Reports
1498 papers in training set
Top 22%
1.1%
16
The FASEB Journal
194 papers in training set
Top 4%
1.1%
17
Journal of Neurophysiology
302 papers in training set
Top 3%
1.1%
18
Frontiers in Endocrinology
58 papers in training set
Top 1%
1.0%
19
Translational Psychiatry
260 papers in training set
Top 4%
1.0%
20
Diabetes
56 papers in training set
Top 0.8%
0.9%
21
Nutrients
67 papers in training set
Top 2%
0.9%
22
PLOS Biology
486 papers in training set
Top 11%
0.9%
23
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 40%
0.9%
24
eneuro
439 papers in training set
Top 8%
0.6%
25
Alcohol
18 papers in training set
Top 0.2%
0.6%
26
Biology Open
156 papers in training set
Top 4%
0.6%
27
Physiological Reports
40 papers in training set
Top 1%
0.6%
28
Journal of the Endocrine Society
15 papers in training set
Top 0.3%
0.6%