We describe a protocol for the rapid and sensitive quantification of disease severity in mouse models of cerebella ataxia. It is derived from previously published phenotype assessments in several disease models, including spinocerebellar ataxias, Huntington s disease and spinobulbar muscular atrophy. Measures include hind limb clasping, ledge test, gait and kyphosis. Each measure is recorded on a scale of 0-3, with a combined total of 0-12 for all four measures. The results effectively discriminate between affected and non-affected individuals, while also quantifying the temporal progression of neurodegenerative disease phenotypes. Measures may be analyzed individually or combined into a composite phenotype score for greater statistical power. The ideal combination of the four described measures will depend upon the disorder in question. We present an example of the protocol used to assess disease severity in a transgenic mouse model of spinocerebellar ataxia type 7 (SCA7).Albert R. La Spada and Gwenn A. Garden contributed to this manuscript equally. ProtocolTo prevent bias, the experimenter performing the assessments should not have knowledge of the animal's genotype. Individual measures are scored on a scale of 0-3, with 0 representing an absence of the relevant phenotype and 3 representing the most severe manifestation. Each test is performed multiple times to ensure that the score is reproducible. Obesity will complicate the interpretation of all measures described. The investigator may wish to weigh mice following phenotype scoring to assess the possible role of adiposity in the results. Ledge testThe ledge test is a direct measure of coordination, which is impaired in cerebellar ataxias and many other neurodegenerative disorders. This measure is the most directly comparable to human signs of cerebellar ataxia. Hindlimb claspingHindlimb clasping is a marker of disease progression in a number of mouse models of neurodegeneration, including certain cerebellar ataxias [1]. GaitGait is a measure of coordination and muscle function. Page 1 of 3Journal of Visualized Experiments www.jove.comCopyright © 2010 Journal of Visualized Experiments 1. Lift the mouse from the cage and place it on the cage's ledge. Mice will typically walk along the ledge and attempt to descend back into the cage. 2. Observe the mouse as it walks along the cage ledge and lowers itself into its cage. A wild-type mouse will typically walk along the ledge without losing its balance, and will lower itself back into the cage gracefully, using its paws. This is assigned a score of 0. If the mouse loses its footing while walking along the ledge, but otherwise appears coordinated, it receives a score of 1. If it does not effectively use its hind legs, or lands on its head rather than its paws when descending into the cage, it receives a score of 2. If it falls off the ledge, or nearly so, while walking or attempting to lower itself, or shakes and refuses to move at all despite encouragement, it receives a score of 3. Some mice will require ...
Previous studies implicate the hypothalamic ventromedial nucleus (VMN) in glycemic control. Here, we report that selective inhibition of the subset of VMN neurons that express the transcription factor steroidogenic-factor 1 (VMN SF1 neurons) blocks recovery from insulin-induced hypoglycemia whereas, conversely, activation of VMN SF1 neurons causes diabetes-range hyperglycemia. Moreover, this hyperglycemic response is reproduced by selective activation of VMN SF1 fibers projecting to the anterior bed nucleus of the stria terminalis (aBNST), but not to other brain areas innervated by VMN SF1 neurons. We also report that neurons in the lateral parabrachial nucleus (LPBN), a brain area that is also implicated in the response to hypoglycemia, make synaptic connections with the specific subset of glucoregulatory VMN SF1 neurons that project to the aBNST. These results collectively establish a physiological role in glucose homeostasis for VMN SF1 neurons and suggest that these neurons are part of an ascending glucoregulatory LPBN→VMN SF1 →aBNST neurocircuit.glucoregulatory circuit | counter regulation | ventromedial nucleus | bed nucleus of the stria terminalis | hyperglycemia B ecause the brain relies exclusively on glucose as a fuel source, brain function is rapidly compromised when circulating glucose levels drop below the normal range. Consequently, hypoglycemia elicits a robust, integrated, and redundant set of counterregulatory responses (CRRs) that ensure the rapid and efficient recovery of plasma glucose concentrations into the normal range (1). Components of the CRR include increased secretion of the hormones glucagon, epinephrine, and glucocorticoids, inhibition of glucoseinduced insulin secretion, increased sympathetic nervous system (SNS) outflow to the liver, and increased food intake (1-3). Owing to this redundancy, recovery from hypoglycemia is difficult to block in normal humans and animal models, even when adrenal or glucagon responses are prevented. Only when multiple responses are blocked is the ability to recover from hypoglycemia significantly compromised (4). This arrangement is perhaps unsurprising, given the threat to survival posed by hypoglycemia.Although glucose sensing can occur at peripheral (e.g., neurons innervating the hepatic portal vein) as well as central sites (3, 5), the brain is the organ responsible both for transducing this information into effective glucose counterregulation and for terminating this response once euglycemia is restored. Of the many brain areas that have been investigated, the hypothalamic ventromedial nucleus (VMN) has emerged as potentially being both necessary and sufficient to elicit this powerful response. This assertion is based on evidence that, whereas electrical stimulation of the VMN activates the CRR and thereby raises circulating glucose levels (6), glucose infusion directly into the VMN can suppress the CRR during hypoglycemia (7) and thereby impair recovery of normal blood glucose levels (8). Moreover, two recent papers identified a circuit comprise...
Female mice are less susceptible to the negative metabolic consequences of high-fat diet feeding than male mice, for reasons that are incompletely understood. Here we identify sex-specific differences in hypothalamic microglial activation via the CX3CL1-CX3CR1 pathway that mediate the resistance of female mice to diet-induced obesity. Female mice fed a high-fat diet maintain CX3CL1-CX3CR1 levels while male mice show reductions in both ligand and receptor expression. Female Cx3cr1 knockout mice develop ‘male-like' hypothalamic microglial accumulation and activation, accompanied by a marked increase in their susceptibility to diet-induced obesity. Conversely, increasing brain CX3CL1 levels in male mice through central pharmacological administration or virally mediated hypothalamic overexpression converts them to a ‘female-like' metabolic phenotype with reduced microglial activation and body-weight gain. These data implicate sex differences in microglial activation in the modulation of energy homeostasis and identify CX3CR1 signalling as a potential therapeutic target for the treatment of obesity.
To maintain energy homeostasis during cold exposure, the increased energy demands of thermogenesis must be counterbalanced by increased energy intake. To investigate the neurobiological mechanisms underlying this cold-induced hyperphagia, we asked whether agouti-related peptide (AgRP) neurons are activated when animals are placed in a cold environment and, if so, whether this response is required for the associated hyperphagia. We report that AgRP neuron activation occurs rapidly upon acute cold exposure, as do increases of both energy expenditure and energy intake, suggesting the mere perception of cold is sufficient to engage each of these responses. We further report that silencing of AgRP neurons selectively blocks the effect of cold exposure to increase food intake but has no effect on energy expenditure. Together, these findings establish a physiologically important role for AgRP neurons in the hyperphagic response to cold exposure.
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