A conceptual framework to assess the effectiveness of HIV prevention

Aim: The relative effectiveness of different methods of prevention of HIV transmission is a subject of debate that is renewed with the integration of each new method. The relative weight of values and evidence in decision-making is not always clearly defined. Debate is often confused, as the proponents of different approaches address the issue at different levels of implementation. This paper defines and delineates the successive levels of analysis of effectiveness, and proposes a conceptual framework to clarify debate. Method / Issue: Initially inspired from work on contraceptive effectiveness, a first version of the conceptual framework was published in 1993 with definition of the Condom Effectiveness Matrix (Spencer, 1993). The framework has since integrated and further developed thinking around distinctions made between efficacy and effectiveness and has been applied to HIV prevention in general. Three levels are defined: theoretical effectiveness (ThE), use-effectiveness (UseE) and population use-effectiveness (PopUseE). For example, abstinence and faithfulness, as proposed in the ABC strategy, have relatively high theoretical effectiveness but relatively low effectiveness at subsequent levels of implementation. The reverse is true of circumcision. Each level is associated with specific forms of scientific enquiry and associated research questions: basic and clinical sciences with ThE; clinical and social sciences with UseE; epidemiology and social, economic and political sciences with PopUseE. Similarly, the focus of investigation moves from biological organisms, to the individual at the physiological and then psychological, social and ecological level, and finally takes as perspective populations and societies as a whole. The framework may be applied to analyse issues on any approach. Hence, regarding consideration of HIV treatment as a means of prevention, examples of issues at each level would be: ThE: achieving adequate viral suppression and non-transmission to partners; UseE: facility and degree of adherence to treatment and medical follow-up; PopUseE: perceived validity of strategy, feasibility of achieving adequate population coverage. Discussion: Use of the framework clarifies the questions that need to be addressed at all levels in order to improve effectiveness. Furthermore, the interconnectedness and complementary nature of research from the different scientific disciplines and the relative contribution of each become apparent. The proposed framework could bring greater rationality to the prevention effectiveness debate and facilitate communication between stakeholders.

The use of the murine model of infection with Leishmania major to reveal the antagonistic effects that IL-4 can exert on T helper cell development and demonstrate that these opposite effects depend upon the nature of the cells targeted for IL-4 signaling.

In contrast to mice from the majority of inbred strains, BALB mice develop aberrant Th2 responses and suffer progressive disease after infection with Leishmania major. These outcomes depend on the production of Interleukin 4, during the first 2 d of infection, by CD4+ T cells that express the Vbeta4-Valpha8 T cell receptors specific for a dominant I-A(d) restricted epitope of the LACK antigen from L. major. In contrast to this well established role of IL-4 in Th2 cell maturation, we have recently shown that, when limited to the initial period of activation of dendritic cells by L. major preceding T cell priming, IL-4 directs DCs to produce IL-12, promotes Th1 cell maturation and resistance to L. major in otherwise susceptible BALB/c mice. Thus, the antagonistic effects that IL-4 can have on Th cell development depend upon the nature of the cells (DCs or primed T cells) targeted for IL-4 signaling.

Hypothetical metaphysics of nature

The paper first sketches out a reply to the underdetermination challenge and the incommensurability challenge that rebuts the sceptical conclusions of these challenges and that is sufficient to lay the ground for the project of a metaphysics of nature. That metaphysics is as hypothetical as are our scientific theories. The paper then explains how can one can argue for certain views in the metaphysics of nature based on our current fundamental physical theories, namely the commitments to a tenseless theory of time and existence instead of a tensed one, to events instead of substances, and to relations instead of intrinsic properties. Finally, the paper mentions the themes of causation, laws and dispositions.

A modular approach for integrative analysis of large-scale gene-expression and drug-response data

High-throughput technologies are now used to generate more than one type of data from the same biological samples. To properly integrate such data, we propose using co-modules, which describe coherent patterns across paired data sets, and conceive several modular methods for their identification. We first test these methods using in silico data, demonstrating that the integrative scheme of our Ping-Pong Algorithm uncovers drug-gene associations more accurately when considering noisy or complex data. Second, we provide an extensive comparative study using the gene-expression and drug-response data from the NCI-60 cell lines. Using information from the DrugBank and the Connectivity Map databases we show that the Ping-Pong Algorithm predicts drug-gene associations significantly better than other methods. Co-modules provide insights into possible mechanisms of action for a wide range of drugs and suggest new targets for therapy

Extreme Precipitation Modelling Using Geostatistics and Machine Learning Algorithms

The paper presents an approach for mapping of precipitation data. The main goal is to perform spatial predictions and simulations of precipitation fields using geostatistical methods (ordinary kriging, kriging with external drift) as well as machine learning algorithms (neural networks). More practically, the objective is to reproduce simultaneously both the spatial patterns and the extreme values. This objective is best reached by models integrating geostatistics and machine learning algorithms. To demonstrate how such models work, two case studies have been considered: first, a 2-day accumulation of heavy precipitation and second, a 6-day accumulation of extreme orographic precipitation. The first example is used to compare the performance of two optimization algorithms (conjugate gradients and Levenberg-Marquardt) of a neural network for the reproduction of extreme values. Hybrid models, which combine geostatistical and machine learning algorithms, are also treated in this context. The second dataset is used to analyze the contribution of radar Doppler imagery when used as external drift or as input in the models (kriging with external drift and neural networks). Model assessment is carried out by comparing independent validation errors as well as analyzing data patterns.

Nature's shape.

Review of the book : "What shape is a snowflake?", by I.S. Weidenfeld & Nicholson, London, UK

L'hibernation du muscardin Muscardinus avellanarius (Gliridae, Rodentia) en nature: nids, fréquence de réveils et température corporelle

Six muscardins vivant en liberté, munis d'une marque radioactive, ont été étudiés durant un hiver dans leur habitat naturel. L'un d'eux était muni d'un radio-émetteur en position intrapéritonéale permettant de mesurer la température corporelle (Tc) au nid et sur des sites de nourrissage. Tous les nids d'hibernation (n=17) étaient situés sur le sol, dans la litière ou dans un gazon. Un nid d'été a été utilisé occasionnellement durant une période clémente. Entre décembre et avril, les périodes de torpeur de 2 à 27 jours (xmoy= 10.8 j). Les périodes de nomothérmie sans quitter le nid duraient 50 à 210 min (xmoy=105 min). Durant les réveils spontanés, la température corporelle était de 36.7 ± 0.4°C, correspondant à une température corporelle moyenne diurne durant le sommeil (36.8 ± 0.3°C). En captivité, la Tc durant la nuit équivalait à 37.6 ± 0.6°C , tandis que la température en activité, mesurée dans la nature, était de 38.5 ± 0.7°C. Durant la torpeur, la Tc était très proche de la température du sol (∆T < 1°C); quand la température descendait à -3°, la Tc a été maintenue entre -0.4 et -0.8°C. Les nids d'hiver situés en surface du sol et sous une couverture de neige restent durant une grande partie de l'hibernation près de 0 ºC, ce qui est probablement proche de la température à laquelle M. avellanarius présente des dépenses énergétiques minimales.