The brain and the immune system are the two major adaptive systems of the body During an immune response the brain and the immune system "talk to each other" and this process is essential for maintaining homeostasis Two major pathway systems are involved in this cross-talk: the hypothalamic-pituitary-adrenal (HPA) axis and the sympathetic nervous system (SNS) This overview focuses on the role of SNS in neuroimmune interactions, an area that has received much less attention than the role of HPA axis Evidence accumulated over the last 20 years suggests that norepinephrine (NE) fulfills the criteria for neurotransmitter/neuromodulator in lymphoid organs Thus, primary and secondary lymphoid organs receive extensive sympathetic/noradrenergic innervation Under stimulation, NE is released from the sympathetic nerve terminals in these organs, and the target immune cells express adrenoreceptors Through stimulation of these receptors, locally released NE, or circulating catecholamines such as epinephrine, affect lymphocyte traffic, circulation, and proliferation, and modulate cytokine production and the functional activity of different lymphoid cells Although there exists substantial sympathetic innervation in the bone marrow, and particularly in the thymus and mucosal tissues, our knowledge about the effect of the sympathetic neural input on hematopoiesis, thymocyte development, and mucosal immunity is extremely modest In addition, recent evidence is discussed that NE and epinephrine, through stimulation of the beta(2)-adrenoreceptor-cAMP-protein kinase A pathway, inhibit the production of type 1/proinflammatory cytokines, such as interleukin (IL-12), tumor necrosis factor-alpha, and interferon-gamma by antigen-presenting cells and T helper (Th) 1 cells, whereas they stimulate the production of type 2/anti-inflammatory cytokines such as IL-10 and transforming growth factor-beta Through this mechanism, systemically, endogenous catecholamines may cause a selective suppression of Th1 responses and cellular immunity, and a Th2 shift toward dominance of humoral immunity On the other hand, in certain local responses, and under certain conditions, catecholamines may actually boost regional immune responses, through induction of IL-1, tumor necrosis factor-alpha, and primarily IL-8 production Thus, the activation of SNS during an immune response might be aimed to localize the inflammatory response, through induction of neutrophil accumulation and stimulation of more specific humoral immune responses, although systemically it may suppress Th1 responses, and, thus protect the organism from the detrimental effects of proinflammatory cytokines and other products of activated macrophages The above-mentioned immunomodulatory effects of catecholamines and the role of SNS are also discussed in the context of their clinical implication in certain infections, major injury and sepsis, autoimmunity, chronic pain and fatigue syndromes, and tumor growth Finally, the pharmacological manipulation of the sympathetic-immune interface is reviewed with focus on new therapeutic strategies using selective alpha(2)- and beta(2)-adrenoreceptor agonists and antagonists and inhibitors of phosphodiesterase type IV in the treatment of experimental models of autoimmune diseases, fibromyalgia, and chronic fatigue syndrome

The Sympathetic Nerve—An Integrative Interface between Two Supersystems: The Brain and the Immune System

Dose-response studies are an important tool in weed science. The use of such studies has become especially prevalent following the widespread development of herbicide resistant weeds. In the past, analyses of dose-response studies have utilized various types of transformations and equations which can be validated with several statistical techniques. Most dose-response analysis methods 1) do not accurately describe data at the extremes of doses and 2) do not provide a proper statistical test for the difference(s) between two or more dose-response curves. Consequently, results of dose-response studies are analyzed and reported in a great variety of ways, and comparison of results among various researchers is not possible. The objective of this paper is to review the principles involved in dose-response research and explain the log-logistic analysis of herbicide dose-response relationships. In this paper the log-logistic model is illustrated using a nonlinear computer analysis of experimental data. The log-logistic model is an appropriate method for analyzing most dose-response studies. This model has been used widely and successfully in weed science for many years in Europe. The log-logistic model possesses several clear advantages over other analysis methods and the authors suggest that it should be widely adopted as a standard herbicide dose-response analysis method.

https://www.jstor.org/stable/info/3987736

Log-logistic analysis of herbicide dose-response relationships

In recent years, several mathematical models have been developed for analysis of drug dissolution data, and many different mathematical approaches have been proposed to assess the similarity between two drug dissolution profiles. However, until now, no computer program has been reported for simplifying the calculations involved in the modeling and comparison of dissolution profiles. The purposes of this article are: (1) to describe the development of a software program, called DDSolver, for facilitating the assessment of similarity between drug dissolution data; (2) to establish a model library for fitting dissolution data using a nonlinear optimization method; and (3) to provide a brief review of available approaches for comparing drug dissolution profiles. DDSolver is a freely available program which is capable of performing most existing techniques for comparing drug release data, including exploratory data analysis, univariate ANOVA, ratio test procedures, the difference factor f
 1, the similarity factor f
 2, the Rescigno indices, the 90% confidence interval (CI) of difference method, the multivariate statistical distance method, the model-dependent method, the bootstrap f
 2 method, and Chow and Ki’s time series method. Sample runs of the program demonstrated that the results were satisfactory, and DDSolver could be served as a useful tool for dissolution data analysis.

DDSolver: An Add-In Program for Modeling and Comparison of Drug Dissolution Profiles

Linked Editorials
This Editorial is part of a series. To view the other Editorials in this series, visit: http://onlinelibrary.wiley.com/doi/10.1111/bph.12956/abstract; http://onlinelibrary.wiley.com/doi/10.1111/bph.12954/abstract; http://onlinelibrary.wiley.com/doi/10.1111/bph.12955/abstract and http://onlinelibrary.wiley.com/doi/10.1111/bph.13112/abstract

https://bpspubs.onlinelibrary.wiley.com/doi/epdf/10.1111/bph.12856

Experimental design and analysis and their reporting: new guidance for publication in BJP.

LXRα and -β are nuclear receptors that regulate the metabolism of several important lipids, including cholesterol and bile acids. Previously, we have proposed that LXRs regulate these pathways through their interaction with specific, naturally occurring oxysterols, including 22(R)-hydroxycholesterol, 24(S)-hydroxycholesterol, and 24(S),25-epoxycholesterol. Using a ligand binding assay that incorporates scintillation proximity technology to circumvent many of the problems associated with assaying extremely hydrophobic ligands, we now demonstrate that these oxysterols bind directly to LXRs at concentrations that occur in vivo. To characterize further the structural determinants required for potent LXR ligands, we synthesized and tested a series of related compounds for binding to LXRs and activation of transcription. These studies revealed that position-specific monooxidation of the sterol side chain is requisite for LXR high-affinity binding and activation. Enhanced binding and activation can also be achieved through the use of 24-oxo ligands that act as hydrogen bond acceptors in the side chain. In addition, introduction of an oxygen on the sterol B-ring results in a ligand with LXRα-subtype selectivity. These results support the hypothesis that naturally occurring oxysterols are physiological ligands for LXRs and show that a rational, structure-based approach can be used to design potent LXR ligands for pharmacologic use.

https://www.pnas.org/content/pnas/96/1/266.full.pdf

Structural requirements of ligands for the oxysterol liver X receptors LXRalpha and LXRbeta.

Many types of data are best analyzed by fitting a curve using nonlinear regression, and computer programs that perform these calculations are readily available. Like every scientific technique, however, a nonlinear regression program can produce misleading results when used inappropriately. This article reviews the use of nonlinear regression in a practical and nonmathematical manner to answer the following questions: Why is nonlinear regression superior to linear regression of transformed data? How does nonlinear regression differ from polynomial regression and cubic spline? How do nonlinear regression programs work? What choices must an investigator make before performing nonlinear regression? What do the final results mean? How can two sets of data or two fits to one set of data be compared? What problems can cause the results to be wrong? This review is designed to demystify nonlinear regression so that both its power and its limitations will be appreciated.

Fitting curves to data using nonlinear regression: a practical and nonmathematical review.

THE catecholamines norepinephrine and epinephrine are key regulators of many physiologic events in human beings; norepinephrine acts primarily as a neurotransmitter released from sympathetic-nerve ...

Adrenergic Receptors in Man

Calculating receptor number from binding experiments using same compound as radioligand and competitor.

beta-Adrenergic receptors were identified in two fractions of guinea pig myocardium: a purified sarcolemmal fraction and a light vesicle (presumably intracellular) fraction. In the light vesicle fraction, which contained approximately 25 percent of the myocardial receptors under control conditions, the receptors appeared to be segregated from the stimulatory guanine nucleotide binding and catalytic components of adenylate cyclase. During myocardial ischemia, beta-adrenergic receptors were redistributed from the intracellular vesicles to the sarcolemmal fraction, where isoproterenol-stimulated adenylate cyclase activity was increased. These findings should facilitate further studies on cellular and molecular mechanisms that regulate adrenergic receptor traffic in the myocardium and may explain the rapid enhancement in adrenergic receptor expression that occurs with myocardial ischemia.

https://science.sciencemag.org/content/sci/230/4722/183.full.pdf

Externalization of beta-adrenergic receptors promoted by myocardial ischemia.

To determine the specificity of the previously demonstrated competition of verapamil with radioligand binding to alpha-adrenergic receptors, we examined the interaction of calcium channel blockers with alpha 1- and alpha 2-adrenergic receptors on several tissues. Verapamil competed for [3H] prazosin binding to alpha 1-adrenergic receptors and for [3H]yohimbine binding to alpha 2-adrenergic receptors in several tissues (human platelets, rat kidney and heart, and cultured muscle cells) with dissociation constants of 0.6-6 microM. The calcium channel blockers D600, D591, fendiline, and prenylamine--which are structural analogues of verapamil--also competed for [3H]yohimbine binding to human platelets. Two other calcium channel blockers, diltiazem and nifedipine, did not compete for [3H] yohimbine binding to human platelets or [3H]prazosin binding to membranes prepared from rat ventricles. We used [3H]nitrendipine binding to identify putative calcium channels on rat myocardial membranes. Nifedipine and verapamil blocked these [3H]nitrendipine-binding sites on ventricular membranes, but epinephrine and prazosin did not, indicating that the ventricular alpha 1 receptors and calcium channels are distinct. We found no specific [3H]nitrendipine binding to human platelets. We conclude that the interaction of verapamil with alpha-adrenergic receptors is not receptor subtype or tissue specific, that interaction with alpha-adrenergic receptors is not a property of all calcium channel blockers, and that the interaction of verapamil with alpha-adrenergic receptors and its interaction with calcium channels occur at at least two distinct sites.

Harvey J. Motulsky

Papers

Fitting curves to data using nonlinear regression: a practical and nonmathematical review.

Adrenergic Receptors in Man

Calculating receptor number from binding experiments using same compound as radioligand and competitor.

Externalization of beta-adrenergic receptors promoted by myocardial ischemia.

Interaction of verapamil and other calcium channel blockers with alpha 1- and alpha 2-adrenergic receptors.