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In several species caloric restriction (CR) extends life span. In this paper we integrate data from studies on CR and other sources to articulate the hypothalamic deregulation hypothesis by which estrogen receptor-alpha (ER-α) signaling in the hypothalamus and limbic system affects life span under the stress of CR in mammals. ER-α is one of two principal estrogen-binding receptors differentially expressed in the amygdala, hippocampus, and several key hypothalamic nuclei: the arcuate nucleus (ARN), preoptic area (POA), ventromedial nucleus (VMN), antero ventral periventricular nucleus (AVPV), paraventricular nucleus (PVN), supraoptic nucleus (SON), and suprachiasmatic nucleus (SCN). Estradiol signaling via ER-α is essential in basal level functioning of reproductive cycle, sexually receptive behaviors, physiological stress responses, as well as sleep cycle, and other nonsexual behaviors. When an organism is placed under long-term CR, which introduces an external stress to this ER-α signaling, the reduction of ER-α expression is attenuated over time in the hypothalamus. This review paper seeks to characterize the downstream effects of ER-α in the hypothalamus and limbic system that affect normal endocrine functioning.

The hunger response in humans has been simulated in an quantitative temporal physiological model using the Center for Research and Education in Aging Language (CREAL). CREAL is a language that can ...

The Biological Navigation and Visualization Tool (BioNaVisT) is an artificial intelligence system that can read, interpret, and organize information from textbooks and research papers. The project is currently being developed to tackle the rapid growth of biological discoveries and literature. Today as individuals, it is becoming infeasible to keep up with the amount of information that is published at an ever increasing rate. The BioNaVisT that is being developed may allow us to interact with very large sets of data. The system draws together vast amounts of information disseminated by researchers, and creates a visual user-interface to show concentrations of related data using a natural language processing program and a customized open-source graphing program. The system will utilize artificial intelligence to establish connections between different blocks of information, and allow the researcher to see clusters of information and display the relative importance of each node in the system. This system c...

An interactive quantitative temporal model of glucose intake, absorption and utilization in humans has been assembled using the Center for Research and Education in Aging Language (CREAL). CREAL is a language that can be used to describe biological systems from a macro to a molecular scale. This model displays the concentration of glucose throughout the gastrointestinal (GI) tract in relation to time. The rate of absorption of glucose through the intestinal walls and subsequent modulation of insulin and glucagon secretion rates can be graphed in relation to time as well as the utilization and depletion of glucose by the various organ systems. The model can also be utilized as part of a more comprehensive system that can simulate the intake, absorption and utilization of other compounds, such as lipids, proteins, minerals and carbohydrates. The quantitative results from these large scale simulations can be used to validate results from higher resolution simulations such as those that take place at the cellular scale.

A language that can describe biological systems from a macro to a molecular scale can play an important role in better understanding the mechanisms that drive the aging process and other biological processes. The Center for Research and Education in Aging Language (CREAL), was developed to allow biologists and Artificial Intelligence (AI) systems to augment a Knowledge Base (KB) that can be used as a data source by a massively paralleled simulation engine to describe complex systems. CREAL uses Java Script Object Notation (JSON) as its template to create nodes of information that can interact with other nodes within the simulation. The language can describe systems of transportation and location as well as properties, actions, and conditions of biological components and processes. A simulation using a KB with CREAL nodes can reveal many relationships between processes when using Dijkstra's shortest path algorithm, and with the aid of tools such as Hidden Markov Models (HMM) could suggest possible linkages...

Changes in the neuroendocrine regulation of gonadal function, via altered hypothalamic sensitivity to peripheral hormones, are known to schedule reproductive maturation in the young and influence reproductive senescence. Estrogen (E) is a key hormone in this process. While changes in circulating levels of E over the life span are well documented, less is known about the corresponding changes in E sensitivity over the lifespan, especially during middle-age, when the initial signs of reproductive senescence emerge.Taking Estrogen Receptor (ER)-alpha-immunoreactive cells as an index of hypothalamic sensitivity to E, this investigation aims to quantify alterations occurring at middle age in comparison to young age.We counted ER-alpha-immunoreactive (IR) cells in the Arcuate hypothalamus of 6-week-old (young) and 18-month-old (middle-aged) C57BL/6J female mice, sacrificed at vaginal opening and diestrous, respectively. An automated imaging microscopy system (AIMS) was employed to generate counts of ER-alpha-IR cells for each sampled section of the Arcuate nucleus (ARC).This study shows a 21% reduction in the number of ER-alpha-IR cells and an 18% reduction in total ARC cell populations with aging. However, the calculated percentage of ER-alpha IR cells is similar in both young and middle aged mice, 30% and 29%, respectively.Both ER-alpha IR cell populations and total cell populations within the ARC hypothalamus decline by middle age in comparison to young age. Despite such a significant decrease in ER-alpha immunoreactive and total cells, both young and middle age mice maintain a similar ratio of ER-alpha IR cells to total cells in the ARC hypothalamus.

The mammalian lifespan is dramatically extended by both caloric restriction (CR) and insulin-like growth factor-1 (IGF-1) suppression. Both interventions involve neuroendocrine alterations directed by the hypothalamus. Yet, it remains unclear whether CR exerts its affects by altering central IGF-1 sensitivity. With this question in mind, we investigated the influence of CR and normal aging on hypothalamic IGF-1 sensitivity, by measuring the changes in IGF-1 receptor (IGF-1R) populations. Taking IGF-1 receptor (IGF-1R) immunoreactivity as an index of sensitivity to IGF-1, we counted IGF-1R immunoreactive and non-immunoreactive cells in the paraventricular nucleus (PVN) of Young-ad libitum fed (Young-Al, 6 weeks old), Old-ad libitum fed (Old-Al, 22 months old), and old calorically restricted (Old-CR, 22 months old) female B6D2F1 mice. An automated imaging microscopy system (AIMS) was used to generate cell counts for each cross-section of PVN hypothalamus. Ad libitum fed mice show a 37% reduction in IGF-1R immunoreactive cells and a 12% reduction in the total cell population of the PVN with aging. In comparison, caloric-restricted mice show a 33% reduction in IGF-1R immunoreactive cells and a notable 24% decrease in the total cell population with aging. This selective maintenance of IGF-1R expressing cells coupled with the simultaneous loss of non-immunoreactive cells, results in a higher percentage of IGF-1R immunoreactive cells in the PVNs of CR mice. Thus, the decline in the percentage of IGF-1 sensitive cells in the PVN with age is attenuated by CR.

Both life-long caloric restriction (CR) and the suppression of insulin-like growth factor-1 (IGF-1) signaling reliably extend the mammalian lifespan. The neuroendocrine system, regulated by the hypothalamus, remains the most convincing site of action for both these modes of life extension. Yet, determining whether CR actions are mediated by the modulation of neuroendocrine IGF-1 signaling remains unclear. Of the hypothalamic nuclei that express the IGF-1 receptor (IGF-1R), the cells of the supraoptic nucleus (SON) display some of the most robust IGF-1R expression. Taking IGF-1R immunoreactivity as an index of sensitivity to IGF-1, we counted IGF-1R immunoreactive and non-immunoreactive cells in the SON of young-ad-libitum fed (young-Al, 6 weeks), old-ad-libitum fed (Old-Al, 22 months), and old-calorie-restricted (Old-CR, 22 months) female B6D2F1 mice. An automated imaging microscopy system (AIMS) was used to generate cell counts for each section of supraoptic hypothalamus. Results show that while the total number of cells in the SON of ad-libitum fed mice does not change significantly with aging, a significant reduction in IGF-1R immunoreactive cells does occur in ad-libitum fed mice with aging. In contrast to this, calorie restricted mice show both a decline in the total number of cells and IGF-1R immunoreactive cells in the SON with age, but with the decrease in the latter being notably attenuated when compared to the degree of loss seen in ad-libitum fed mice. Thus, while CR induces greater loss in the total number of cells in the SON with age, it reduces the degree of age-dependent loss seen in IGF-1R expressing cells. As a result, when compared to Old-AL mice, the SON of Old-CR mice displays a greater proportion of IGF-1R cells and thus possibly enhanced IGF-1 sensitivity with aging.

Insulin-like Growth Factor-I (IGF-I) is a critical hormone that regulates both development and aging with its fluctuating expression throughout the lifespan. Multiple studies have demonstrated that...

Life-long calorie restriction (CR) remains the most robust and reliable means of extending life span in mammals. Among the several theories to explain CR actions, one variant of the neuroendocrine theories of aging postulates that changing hypothalamic sensitivity to endocrine feedback is the clock that times phenotypic change over the life span. If the feedback sensitivity hypothesis is correct, CR animals should display a significantly different pattern of hormone-sensitive cell density and distribution in the hypothalamus. Of the many endocrine signal receptors that may be involved in maintaining hypothalamic feedback sensitivity, our study has selected to begin mapping those for estrogen (E). Altered hypothalamic sensitivity to E is known to schedule reproductive maturation and influence reproductive senescence. Taking estrogen receptor-alpha (ERalpha) immunoreactivity as an index of sensitivity to E, we counted ERalpha immunoreactive and non-immunoreactive cells in the pre-optic hypothalamus of young (6 weeks), ad-libitum (Old-AL) fed old (22 months), and calorie restricted (Old-CR) old (22 months) female B6D2F1 mice. An automated imaging microscopy system (AIMS) was used to generate cell counts for each sampled section of pre-optic hypothalamus. Results show a 38% reduction in ERalpha immunoreactive cells and an 18% reduction in total cell numbers in AL-old mice in comparison to young mice. However, CR mice only show a 19% reduction in ERalpha immunoreactive cells and a 13% reduction in total cell numbers in comparison to young mice. This indicates CR prevents age-related cell loss and maintains estrogen sensitivity in the pre-optic hypothalamus of old female B6D2F1 mice.