Nerve growth factor in the anterior pituitary: localization in mammotroph cells and cosecretion with prolactin by a dopamine-regulated mechanism.

Nerve growth factor (NGF) is well characterized for its neurotrophic actions on peripheral sensory and sympathetic neurons and on central cholinergic neurons of the basal forebrain. Recent evidence, however, has shown high levels of NGF to be present in a variety of biological fluids after inflammatory and autoimmune responses, suggesting that NGF is a mediator of immune interactions. Increased NGF serum levels have been reported in both humans and experimental animal models of psychological and physical stress, thus implicating NGF in neuroendocrine interactions as well. The possible source(s) and the regulatory mechanisms involved in the control of serum NGF levels, however, still remain to be elucidated. We now report the presence of both NGF gene transcripts and protein in the anterior pituitary. Immunofluorescence analysis indicated that hypophysial NGF is selectively localized in mammotroph cells and stored in secretory granules. NGF is cosecreted with prolactin from mammotroph cells by a neurotransmitter-dependent mechanism that can be pharmacologically regulated. Activation of the dopamine D2 receptor subtype, which physiologically controls prolactin release, resulted in a complete inhibition of vasoactive intestinal peptide-stimulated NGF secretion in vitro, whereas the specific D2 antagonist (-)-sulpiride stimulated NGF secretion in vivo, suggesting that the anterior pituitary is a possible source of circulating NGF. Given the increased NGF serum levels in stressful conditions and the newly recognized immunoregulatory function of this protein, NGF, together with prolactin, may thus be envisaged as an immunological alerting signal under neuronal control.

Antiangiogenic therapy of transgenic mice impairs de novo tumor growth.

Angiogenesis is activated during multistage tumorigenesis prior to the emergence of solid tumors. Using a transgenic mouse model, we have tested the proposition that treatment with angiogenesis inhibitors can inhibit the progression of tumorigenesis after the switch to the angiogenic phenotype. In this model, islet cell carcinomas develop from multifocal, hyperproliferative nodules that show the histological hallmarks of human carcinoma in situ. Mice were treated with a combination of the angiogenesis inhibitor AGM-1470 (TNP-470), the antibiotic minocycline, and interferon alpha/beta. The treatment regimen markedly attenuated tumor growth but did not prevent tumor formation; tumor volume was reduced to 11% and capillary density to 40% of controls. The proliferation index of tumor cells in treated and control mice was similar, whereas the apoptotic index was doubled in treated tumors. This study shows that de novo tumor progression can be restricted solely by antiangiogenic therapy. The results suggest that angiogenesis inhibitors represent a valid component of anticancer strategies aimed at progression from discrete stages of tumorigenesis and demonstrate that transgenic mouse models can be used to evaluate efficacy of candidate antiangiogenic agents.

Thermodynamic parameters for the helix-coil transition of oligopeptides: molecular dynamics simulation with the peptide growth method.

The helix-coil transition equilibrium of polypeptides in aqueous solution was studied by molecular dynamics simulation. The peptide growth simulation method was introduced to generate dynamic models of polypeptide chains in a statistical (random) coil or an alpha-helical conformation. The key element of this method is to build up a polypeptide chain during the course of a molecular transformation simulation, successively adding whole amino acid residues to the chain in a predefined conformation state (e.g., alpha-helical or statistical coil). Thus, oligopeptides of the same length and composition, but having different conformations, can be incrementally grown from a common precursor, and their relative conformational free energies can be calculated as the difference between the free energies for growing the individual peptides. This affords a straightforward calculation of the Zimm-Bragg sigma and s parameters for helix initiation and helix growth. The calculated sigma and s parameters for the polyalanine alpha-helix are in reasonable agreement with the experimental measurements. The peptide growth simulation method is an effective way to study quantitatively the thermodynamics of local protein folding.

Failure of programmed cell death and differentiation as causes of tumors: some simple mathematical models.

Most models of tumorigenesis assume that the tumor grows by increased cell division. In these models, it is generally supposed that daughter cells behave as do their parents, and cell numbers have clear potential for exponential growth. We have constructed simple mathematical models of tumorigenesis through failure of programmed cell death (PCD) or differentiation. These models do not assume that descendant cells behave as their parents do. The models predict that exponential growth in cell numbers does sometimes occur, usually when stem cells fail to die or differentiate. At other times, exponential growth does not occur: instead, the number of cells in the population reaches a new, higher equilibrium. This behavior is predicted when fully differentiated cells fail to undergo PCD. When cells of intermediate differentiation fail to die or to differentiate further, the values of growth parameters determine whether growth is exponential or leads to a new equilibrium. The predictions of the model are sensitive to small differences in growth parameters. Failure of PCD and differentiation, leading to a new equilibrium number of cells, may explain many aspects of tumor behavior--for example, early premalignant lesions such as cervical intraepithelial neoplasia, the fact that some tumors very rarely become malignant, the observation of plateaux in the growth of some solid tumors, and, finally, long lag phases of growth until mutations arise that eventually result in exponential growth.