Presence of immunoreactive β-endorphin in plasma of patients with Nelson's syndrome and Addison's disease

A sensitive radioimmunoassay for β-endorphin (β-EP) has been developed with an antiserum obtained from a guinea pig immunized with β-EP which was contained in crude porcine ACTH preparations (Organon). The minimal detectable quantity of β-EP was 1 pg. This antibody has the same affinity for β-EP and β-LPH on a molar basis, but human ACTH, α-MSH, β-MSH, α-EP, γ-EP, Met⁵-Enkephalin and Leu⁵-Enkephalin failed to displace ¹²⁵I-β-EP from its antibody. Utilizing this radioimmunoassay we have demonstrated the existence of β-EP in plasma from patients with Nelson's syndrome and Addison's disease.     

How well does Turing's theory of morphogenesis work?

In 1952 Turing published a paper which showed how under restricted conditions a class of chemical reactions could give biological patterns in diffusion-coupled cells. Although this theory has been much discussed, little has been learnt about the range and type of pattern it can generate. In order to do this and to see how stable the patterns are, we have examined the system in detail and written a computer program to simulate Turing's kinetics for two morphogens over various assemblies of cells. We find that on one-dimensional lines of cells, patterns can indeed be produced and that the chemical wavelengths follow all of Turing's predictions. The results show that stable repeating peaks of chemical concentration of periodicity 2–20 cells can be obtained in embryos in periods of time of less than an hour. We do find however that these patterns are not reliable: small variations in initial conditions give small but significant changes in the number and positions of observed peaks. Similar results are observed in two-dimensional assemblies of cells. On rectangles, random blotches are observed whose position cannot be reliably predicted. On cylinders whose circumference is less than the chemical wavelength, annular stripes are produced. For larger cylinders, blotches that lie very approximately on helices are generated; again sharp prediction of the detailed pattern is impossible.The significance of these results for the developing embryo is discussed. We conclude that Turing kinetics, at least in the simple cases that we have studied, are too unreliable to serve as the generating mechanism for features such as digits which are characterized by a consistent number of units. The theory is however more than adequate by these criteria to specify less well-defined developing patterns such as those of hair follicles or leaf organization. It is emphasized however that the Turing theory is quite unable to generate regulative systems, only mosaicpatterns can be produced.     

Convergence of a structured metapopulation model to Levins’s model

We consider a structured metapopulation model describing the dynamics of a single species, whose members are located in separate patches that are linked through migration according to a mean field rule. Our main aim is to find conditions under which its equilibrium distribution is reasonably approximated by that of the unstructured model of Levins (1969). We do this by showing that the (positive) equilibrium distribution converges, as the carrying capacity of each population goes to infinity together with appropriate scalings on the other parameters, to a bimodal distribution, consisting of a point mass at 0, together with a positive part which is closely approximated by a shifted Poisson centred near the carrying capacity. Under this limiting régime, we also give simpler approximate formulae for the equilibrium distribution. We conclude by showing how to compute persistence regions in parameter space for the exact model, and then illustrate all our results with numerical examples. Our proofs are based on Steins method.Supported in part by Schweizer Nationalfonds Projekt Nrs 20–61753.00 and 20–67909.02Supported in part by CNR of Italy under Grant n. 00.0142.ST74     

The innervation of frog's taste organ “A histochemical study”

Morphological investigations on the fungiform papilla of the frog (Rana pipiens) have shown that this taste organ contains two distinct populations of cells: associate and sensory. Messages received by the sensory cells are believed to be transmitted through the mediation of an adrenergic transmitter. This chemical was shown by fluorescence microscopy and electron histochemistry to be stored in synaptic granular vesicles which accumulate at the membrane of the cytoplasmic processes of the sensory cells in typical chemical synaptic complexes. The sensory cell cytoplasmic processes form the presynaptic component of these complexes whose post synaptic components are the nerve fibres supplying the taste buds. These sensory nerve fibres contain agranular vesticles and are probably cholinergic, since they show positive cholinesterase activity at the light and electron microscopical levels.     

The accumulation of deleterious genes in a population—Muller's Ratchet

A quantitative study of the operation of Muller's Ratchet for the accumulation of deleterious genes in an asexually reproducing population is made. For a population of size N, in which deleterious mutations occur at rate λ/genome/ generation, and the relative fitness of an individual with k mutants is (1 ? s)^k, the most important parameter is $\text{n}{}_0\text{= Ne}{}^{\mathrm{?\theta }}\text{,}\text{where}\text{θ =}\text{λ}\text{s}$. If n₀ is large (?25), deleterious mutations will accumulate very slowly, and independently of each other; if n₀ is small (<1), the rate of accumulation of deleterious mutations will be greater than a natural population could plausibly bear; an estimate of the speed of the Ratchet for intermediate values of n₀ is made. It is pointed out that the frequency distribution for the numbers of individuals carrying k mutants will retain its shape, but will move bodily to the right at the same average speed as the Ratchet. When favourable mutations also occur, the frequency distributions can move right of left; an estimate of the probability that any particular step is right or left is made, and it is shown that, for a given net rate of arrisal of deleterious mutations, the greater the rate of beneficial mutation, the greater the chance that beneficial mutations will accumulate.     

A standard model of Alzheimer’s disease?

ABSTRACT

The recent Research Framework proposed by the US National Institute on Aging and the Alzheimer’s Association (NIA-AA) recommends that Alzheimer’s disease be defined by its specific biology rather than by non-specific neurodegenerative and syndromal features. By affirming markers of abnormal Aβ and tau proteins as the essential pathobiological signature of Alzheimer’s disease, the Framework tacitly reinforces the amyloid (Aβ) cascade as the leading theory of Alzheimer pathogenesis. In light of recent evidence that the cascade is driven by the misfolding and templated aggregation of Aβ and tau, we believe that an empirically grounded Standard Model of Alzheimer’s pathogenesis is within reach. A Standard Model can clarify and consolidate existing information, contextualize risk factors and the complex disease phenotype, identify testable hypotheses for future research, and pave the most direct path to effective prevention and treatment.     

Action de l'ecdystérone sur l'apolysis et l'ecdysis de divers crustacés isopodes

Ecdysterone acts differently according to the period of the moulting cycle when it is applied. In period C it induces apolysis, while at the beginning of apolysis it delays ecdysis. Experiments show that the exoskeleton cannot be rejected in the presence of ecdysterone. The possibility of stopping exuviation or ecdysis with ecdysterone seems to prove that this phenomenon is controlled by a particular factor called the factor of exuviation or the ecdysis factor. Ecdysterone would control only the release of this specific factor but would not prevent its action.     

Construction of rat spinal cord injury model based on Allen’s animal model

The aim of this study is to explore the construction of rat spinal cord injury model guided by Allen's model. Methods: Male rats aged 4–5 weeks and weighing about 250 g are selected as subjects in the Animal Laboratory Center of XX Hospital. Rats are divided into two groups, which are experimental group 1 and experimental group 2, respectively, so as to construct spinal cord injury model in rats. The first group is given 300 g.cm hitting force of T10 spinal cord, and the second group is given 500 g.cm hitting force of T10 spinal cord. Within 25 days after spinal cord injury in Allen's rats, the survival, neurological function, diet, motor ability, tactile ability and auditory ability of the two groups are monitored and evaluated daily. Results: In terms of survival, the survival rate of rats in group 1 is 85%, while that of rats in group 2 is 21%, and there is a concentrated death phenomenon in group 2. In terms of neurological function recovery, experimental group 1 is stable and gets 7 points and experimental group 2 is stable and gets 3 points. In terms of diet, the experimental group 1 is stable and gets 5 points and the experimental group 2 is stable and gets 2 points. In terms of motor ability, the experimental group 1 is stable and gets 5 points and the experimental group 2 is stable and gets 2 points. In tactile sense, experimental group 1 is stable and gets 17 points and experimental group 2 is stable and gets 12 points. It can be seen that the post-operative recovery ability of the experimental group 1 is better than that of the experimental group 2. Conclusion: Under the guidance of Allen's model, compared with the group 2, the experimental group 1 of the rat spinal cord injury model has better recovery in each index. It can be seen that the smaller impact strength is more beneficial to the recovery of rats after spinal cord injury surgery.     

‘Information parasitism’ in mixed colonies of western grebes and Forster's terns

Of 38 western grebe (Aechmophorus occidentalis) colonies initiated on the Delta Marsh, Lake Manitoba, in 1973 through 1979, over half (53%) included breeding Forster's terns (Sterna forsteri). Tern-associated colonies included 12 of the 13 largest colonies, incorporating 83% of the total nesting effort (N=2821 nests). Such colonies were impossible to approach undetected, because grebes used the tern's aerial alarm system to warn of danger. Playbacks showed that grebes recognized the tern's alarm call, and responded by immediately leaving their nests. This essentially constitutes a form of ‘information parasitism,’ which probably is widespread in many nesting associations. This work suggests a broadening of the ‘information centre’ hypothesis to include transfer of information about any reproductive requisite, not just food.     

A novel GAA-repeat-expansion-based mouse model of Friedreich’s ataxia

Friedreich’s ataxia (FRDA) is an autosomal recessive neurodegenerative disorder caused by a GAA repeat expansion mutation within intron 1 of the FXN gene, resulting in reduced levels of frataxin protein. We have previously reported the generation of human FXN yeast artificial chromosome (YAC) transgenic FRDA mouse models containing 90–190 GAA repeats, but the presence of multiple GAA repeats within these mice is considered suboptimal. We now describe the cellular, molecular and behavioural characterisation of a newly developed YAC transgenic FRDA mouse model, designated YG8sR, which we have shown by DNA sequencing to contain a single pure GAA repeat expansion. The founder YG8sR mouse contained 120 GAA repeats but, due to intergenerational expansion, we have now established a colony of YG8sR mice that contain ~200 GAA repeats. We show that YG8sR mice have a single copy of the FXN transgene, which is integrated at a single site as confirmed by fluorescence in situ hybridisation (FISH) analysis of metaphase and interphase chromosomes. We have identified significant behavioural deficits, together with a degree of glucose intolerance and insulin hypersensitivity, in YG8sR FRDA mice compared with control Y47R and wild-type (WT) mice. We have also detected increased somatic GAA repeat instability in the brain and cerebellum of YG8sR mice, together with significantly reduced expression of FXN, FAST-1 and frataxin, and reduced aconitase activity, compared with Y47R mice. Furthermore, we have confirmed the presence of pathological vacuoles within neurons of the dorsal root ganglia (DRG) of YG8sR mice. These novel GAA-repeat-expansion-based YAC transgenic FRDA mice, which exhibit progressive FRDA-like pathology, represent an excellent model for the investigation of FRDA disease mechanisms and therapy.KEY WORDS: GAA repeat, Friedreich’s ataxia, FRDA, YG8sR, Mouse model     

Stereochemistry of dihydrofolate reductase inhibitor antitumor acents: Molecular structure of “Baker's antifol” (NSC 139105, triazinate) and “insoluble Baker's antifol” (NSC 113423)

The crystal and molecular structures of 1-[3-chloro-4-($\text{m}$-dimethylcarbamoylbenzyloxy)] phenyl-4,6-diamino-1,2-dihydro-2,2-dimethyl-$\text{s}$-triazine ethanesulfonate, (Baker's antifol), and 1-[4-(N-[3′-methyl-4′-fluorosulfonyl] phenyl) propanamide] phenyl-4,6-diamino-1,2-dihydro-2,2-dimethyl-$\text{s}$-triazine ethanesulfonate dihydrate (insoluble Baker's antifol) have been determined by X-ray crystallography. These compounds are, respectively, reversible and irreversible inhibitors of dihydrofolate reductase and show clinical promise for use in cancer chemotherapy. Both molecules adopt an extended conformation and are protonated at one of the triazine ring nitrogens.     

A biomathematical model of a human operator’s falling asleep

Quantitative analysis of the transition from wakefulness to sleep and prediction of the moment when errors in professional activity appear because of a decrease in the arousal level require microinterval monitoring of falling asleep. A psychomotor test was developed that rapidly decreased the arousal level, which made it possible to record as many as 10–20 episodes of correct and erroneous activity within 40 min and isolate the periods electrophysiologically corresponding to wakefulness and brief sleep. Seventy subjects were tested, and 6700 fragments of recordings with correct and erroneous performance were analyzed. Analysis of the experimental data showed that the transition from wakefulness to sleep includes intermediate short and relatively long periods of wakefulness and sleep, whose durations are distributed according to the double exponential law. A mathematical model describing the time course of alternation of these four states of wakefulness and sleep predicts the probability of prolonged, potentially dangerous disturbances in operator activity because of microsleep as dependent on the initial state and individual characteristics of subjects. The results will be useful both for the development of devices monitoring and predicting changes in the physiological arousal level and for analysis of traffic and industrial accidents.     

Synaptic abnormalities in a Drosophila model of Alzheimer’s disease

Alzheimer’s disease (AD) is an age-related neurodegenerative disease characterized by memory loss and decreased synaptic function. Advances in transgenic animal models of AD have facilitated our understanding of this disorder, and have aided in the development, speed and efficiency of testing potential therapeutics. Recently, we have described the characterization of a novel model of AD in the fruit fly, Drosophila melanogaster, where we expressed the human AD-associated proteins APP and BACE in the central nervous system of the fly. Here we describe synaptic defects in the larval neuromuscular junction (NMJ) in this model. Our results indicate that expression of human APP and BACE at the larval NMJ leads to defective larval locomotion behavior, decreased presynaptic connections, altered mitochondrial localization in presynaptic motor neurons and decreased postsynaptic protein levels. Treating larvae expressing APP and BACE with the γ-secretase inhibitor L-685,458 suppresses the behavioral defects as well as the pre- and postsynaptic defects. We suggest that this model will be useful to assess and model the synaptic dysfunction normally associated with AD, and will also serve as a powerful in vivo tool for rapid testing of potential therapeutics for AD.KEY WORDS: APP, Alzheimer’s disease, Drosophila, BACE, Synapse, NMJ     

Origins and suppression of oscillations in a computational model of Parkinson’s disease

Efficacy of deep brain stimulation (DBS) for motor signs of Parkinson’s disease (PD) depends in part on post-operative programming of stimulus parameters. There is a need for a systematic approach to tuning parameters based on patient physiology. We used a physiologically realistic computational model of the basal ganglia network to investigate the emergence of a 34 Hz oscillation in the PD state and its optimal suppression with DBS. Discrete time transfer functions were fit to post-stimulus time histograms (PSTHs) collected in open-loop, by simulating the pharmacological block of synaptic connections, to describe the behavior of the basal ganglia nuclei. These functions were then connected to create a mean-field model of the closed-loop system, which was analyzed to determine the origin of the emergent 34 Hz pathological oscillation. This analysis determined that the oscillation could emerge from the coupling between the globus pallidus external (GPe) and subthalamic nucleus (STN). When coupled, the two resonate with each other in the PD state but not in the healthy state. By characterizing how this oscillation is affected by subthreshold DBS pulses, we hypothesize that it is possible to predict stimulus frequencies capable of suppressing this oscillation. To characterize the response to the stimulus, we developed a new method for estimating phase response curves (PRCs) from population data. Using the population PRC we were able to predict frequencies that enhance and suppress the 34 Hz pathological oscillation. This provides a systematic approach to tuning DBS frequencies and could enable closed-loop tuning of stimulation parameters.     

Heat exchange in the cryosurgery of Menière's disease: Experimental and clinical studies

The temperature course in the lateral semicircular canal and in the facial canal was studied in experiments during freezing of the semicircular canal. The course of the temperature was measured with thermocouples. Concurrently, the heat flow was measured, and also the total heat exchange was measured throughout the freezing period by a thermoelectric heat flowmeter incorporated in the cryotip. The measurements showed correlation between the total amount of heat exchanged, the freezing time, and the temperature in the semicircular canal. This correlation was utilized to assess and calculate (the temperature of the lateral semicircular canal) the course of the cryoprocess in vivo, where it is possible to measure the heat flow and the total heat exchange during the freezing period only.

2. Results upon Vertigo

     

18.

Computationally designed prodrugs of statins based on Kirby’s enzyme model     

Rafik Karaman  Wajd Amly  Laura Scrano  Gennaro Mecca  Sabino A. Bufo 《Journal of molecular modeling》2013,19(9):3969-3982

DFT calculations at B3LYP/6-31G(d,p) for intramolecular proton transfer in Kirby’s enzyme models 1–7 demonstrated that the reaction rate is dependent on the distance between the two reacting centers, r_GM, and the hydrogen bonding angle, α, and the rate of the reaction is linearly correlated with r_GM and α. Based on these calculation results three simvastatin prodrugs were designed with the potential to provide simvastatin with higher bioavailability. For example, based on the calculated log EM for the three proposed prodrugs, the interconversion of simvastatin prodrug ProD 3 to simvastatin is predicted to be about 10 times faster than that of either simvastatin prodrug ProD 1 or simvastatin ProD 2. Hence, the rate by which the prodrug releases the statin drug can be determined according to the structural features of the promoiety (Kirby’s enzyme model).

Figure

A representation Scheme showing the interconversion of simvastatin prodrug to simvastatin by a prodrug chemical approach.     

19.

Practical considerations for choosing a mouse model of Alzheimer’s disease     

Joanna L. Jankowsky

  Hui Zheng
《Molecular neurodegeneration》2017,12(1):89

Alzheimer’s disease (AD) is behaviorally identified by progressive memory impairment and pathologically characterized by the triad of β-amyloid plaques, neurofibrillary tangles, and neurodegeneration. Genetic mutations and risk factors have been identified that are either causal or modify the disease progression. These genetic and pathological features serve as basis for the creation and validation of mouse models of AD. Efforts made in the past quarter-century have produced over 100 genetically engineered mouse lines that recapitulate some aspects of AD clinicopathology. These models have been valuable resources for understanding genetic interactions that contribute to disease and cellular reactions that are engaged in response. Here we focus on mouse models that have been widely used stalwarts of the field or that are recently developed bellwethers of the future. Rather than providing a summary of each model, we endeavor to compare and contrast the genetic approaches employed and to discuss their respective advantages and limitations. We offer a critical account of the variables which may contribute to inconsistent findings and the factors that should be considered when choosing a model and interpreting the results. We hope to present an insightful review of current AD mouse models and to provide a practical guide for selecting models best matched to the experimental question at hand.     

20.

Alzheimer’s disease: analysis of a mathematical model incorporating the role of prions     

Mohamed Helal  Erwan Hingant  Laurent Pujo-Menjouet  Glenn F. Webb 《Journal of mathematical biology》2014,69(5):1207-1235

We introduce a mathematical model of the in vivo progression of Alzheimer’s disease with focus on the role of prions in memory impairment. Our model consists of differential equations that describe the dynamic formation of \(\upbeta \) -amyloid plaques based on the concentrations of A \(\upbeta \)  oligomers, PrP^C proteins, and the A \(\upbeta \) - \(\times \) -PrP^Ccomplex, which are hypothesized to be responsible for synaptic toxicity. We prove the well-posedness of the model and provided stability results for its unique equilibrium, when the polymerization rate of \(\upbeta \) -amyloid is constant and also when it is described by a power law.     

	No Vertigo	Improved	Unchanged
Number of patients	7	5	3

Computationally designed prodrugs of statins based on Kirby’s enzyme model

DFT calculations at B3LYP/6-31G(d,p) for intramolecular proton transfer in Kirby’s enzyme models 1–7 demonstrated that the reaction rate is dependent on the distance between the two reacting centers, r_GM, and the hydrogen bonding angle, α, and the rate of the reaction is linearly correlated with r_GM and α. Based on these calculation results three simvastatin prodrugs were designed with the potential to provide simvastatin with higher bioavailability. For example, based on the calculated log EM for the three proposed prodrugs, the interconversion of simvastatin prodrug ProD 3 to simvastatin is predicted to be about 10 times faster than that of either simvastatin prodrug ProD 1 or simvastatin ProD 2. Hence, the rate by which the prodrug releases the statin drug can be determined according to the structural features of the promoiety (Kirby’s enzyme model).

Practical considerations for choosing a mouse model of Alzheimer’s disease

Alzheimer’s disease (AD) is behaviorally identified by progressive memory impairment and pathologically characterized by the triad of β-amyloid plaques, neurofibrillary tangles, and neurodegeneration. Genetic mutations and risk factors have been identified that are either causal or modify the disease progression. These genetic and pathological features serve as basis for the creation and validation of mouse models of AD. Efforts made in the past quarter-century have produced over 100 genetically engineered mouse lines that recapitulate some aspects of AD clinicopathology. These models have been valuable resources for understanding genetic interactions that contribute to disease and cellular reactions that are engaged in response. Here we focus on mouse models that have been widely used stalwarts of the field or that are recently developed bellwethers of the future. Rather than providing a summary of each model, we endeavor to compare and contrast the genetic approaches employed and to discuss their respective advantages and limitations. We offer a critical account of the variables which may contribute to inconsistent findings and the factors that should be considered when choosing a model and interpreting the results. We hope to present an insightful review of current AD mouse models and to provide a practical guide for selecting models best matched to the experimental question at hand.     

Alzheimer’s disease: analysis of a mathematical model incorporating the role of prions

We introduce a mathematical model of the in vivo progression of Alzheimer’s disease with focus on the role of prions in memory impairment. Our model consists of differential equations that describe the dynamic formation of \(\upbeta \) -amyloid plaques based on the concentrations of A \(\upbeta \)  oligomers, PrP^C proteins, and the A \(\upbeta \) - \(\times \) -PrP^Ccomplex, which are hypothesized to be responsible for synaptic toxicity. We prove the well-posedness of the model and provided stability results for its unique equilibrium, when the polymerization rate of \(\upbeta \) -amyloid is constant and also when it is described by a power law.