Detecting IL-26 in multiple sclerosis patients by ELISA

Multiple sclerosis (MS) is an auto‐inflammatory disease of the central nervous system (CNS) that eventually leads to neuro‐degeneration. MS affects over one million people worldwide, twice as many women as men, and is the first cause of neurologic disability in young adults(1). For the patient, the diagnosis of MS means a sentence to hardship, a storm of uncertain hopes and incomprehensible certainty about future loss of function. MS is a progressive disease that can take various clinical courses. In most cases, there is a progression towards accumulation of neurological dysfunction with relapses and remissions (RR‐MS). During relapses, symptoms commonly include a loss of sensation, coordination or vision. In the beginning of the disease, there is usually restitution ad integrum of neurological functions, but over time, neurological impediments persist even during the remission phases. Thus, the functional losses accumulate as the disease progresses to a second phase (Secondary Progressive [SP‐MS]). In ten percent of cases, the disease is progressive from the beginning, without remissions (Primary Progressive MS [PP‐MS])(2). In about a quarter of patients, the progression will never lead to major disability, while in some patients the course of the disease quickly evolves towards major functional loss(3), thereby making it a highly unpredictable and heterogeneous disease. The precise cause(s) of MS is/are undetermined, which explains why no curative treatment has so far been developed. There is therefore a huge interest in understanding the immunopathogenesis of MS, as so much is still to be learnt about this autoinflammatory and degenerative disorder of the CNS

Smoking cessation and the incidence of pre-diabetes and type 2 diabetes : a cohort study

Le tabagisme est associé à un risque augmenté de développer un diabète de type 2. Arrêter de fumer devrait donc diminuer le risqué de diabète. Seulement, les études concernant le risque métabolique à l'arrêt du tabac sont discordantes. Par ailleurs, les effets métaboliques du tabac et de l'arrêt du tabac diffèrent probablement selon le sexe, avec notamment un effet différent du tabac sur la santé des femmes, et une prise pondérale plus importante à l'arrêt que chez les hommes. Notre étude vise à évaluer le risque métabolique à l'arrêt du tabac, chez les femmes et les homes séparément. Nous avons utilisé les données de l'étude de cohorte prospective CoLaus, qui évalue différents facteurs de risque cardiovasculaire chez des sujets choisis de manière aléatoire, dans la population Lausannoise entre 35 et 75 ans, suivis sur 5.5 ans en moyenne. Parmi ceux avec une glycémie à jeun normale au départ, nous avons divisé les participants en quatre groupes selon leur statut tabagique : non fumeurs, personnes ayant arrêté de fumer depuis plus de 5 ans, celles ayant arrêté depuis moins de 5 ans, et fumeurs actifs. Nous avons mesuré les incidences de glycémie à jeun altérée (5.6-6.99 mmol/l) et de diabète (glycémie à jeun ≥ 7 mmol/l et/ou traitement pour le diabète) durant le période de suivi, stratifiées par sexe. Puis le risque d'incidence de glycémie altérée et de diabète a été calculé avec trois niveaux d'ajustement pour les facteurs confondants pour un risque métabolique. Nous avons inclus 3166 participants, dont 63% de femmes. Au total, 26.3% étaient fumeurs, 6.5% ex-fumeurs depuis moins de 5 ans et 23.5% ex-fumeurs depuis plus de 5 ans. Durant le suivi, 1311 (41.4%) personnes ont développé une glycémie à jeun altérée (33.6% des femmes, 54.7% des homes), et 47 (1.5%) ont développé un diabète (1.1% des femmes, 2.1% des hommes). Les personnes ayant arrêté de fumer n'avait pas de risque significativement plus élevé de développer une glycémie à jeun altérée ou un diabète que les fumeurs, après ajustement pour l'âge, l'éducation, l'hypercholestérolémie, la prise d'alcool, l'activité physique, la prise de poids, le BMI initial et le BMI d'arrivée dans les différents modèles d'ajustement. L'analyse de l'interaction du sexe avec ces résultats est également négative. Les analyses de sensibilité ont montré que l'exclusion des personnes ayant changé de statut tabagique durant le suivi ne changeait pas ces résultats. Nous avons refait les analyses en incluant les participants ayant une glycémie altérée au début du suivi, mais le risque d'incidence de diabète n'est pas plus élevé chez les ex-fumeurs que chez les fumeurs non plus dans cette population. Sur demande d'un reviewer, nous avons également refait les analyses avec la glycémie en continue (valeurs de base et valeurs à 5.5 ans), et la glycémie moyenne n'était pas différente par groupe de tabagisme. En conclusion, dans cette population européenne d'âge moyen, avec une prévalence basse d'obésité et une prise de poids modérée durant le suivi, nous n'avons pas trouvé de risque significativement plus élevé de développer un diabète en arrêtant de fumer, et ce pour les deux sexes. L'arrêt du tabac doit donc être encouragé chez toutes les fumeuses et tous les fumeurs

Theories and Models for Internet Quality of Service

We survey recent advances in theories and models for Internet Quality of Service (QoS). We start with the theory of network calculus, which lays the foundation for support of deterministic performance guarantees in networks, and illustrate its applications to integrated services, differentiated services, and streaming media playback delays. We also present mechanisms and architecture for scalable support of guaranteed services in the Internet, based on the concept of a stateless core. Methods for scalable control operations are also briefly discussed. We then turn our attention to statistical performance guarantees, and describe several new probabilistic results that can be used for a statistical dimensioning of differentiated services. Lastly, we review recent proposals and results in supporting performance guarantees in a best effort context. These include models for elastic throughput guarantees based on TCP performance modeling, techniques for some quality of service differentiation without access control, and methods that allow an application to control the performance it receives, in the absence of network support

Reputation-based content dissemination for user generated wireless podcasting

User-generated podcasting service over human-centric opportunistic network can facilitate user-generated content sharing while humans are on the move beyond the coverage of infrastructure networks. We focus on the aspects of designing efficient forwarding and cache replacement schemes of such service under the constraints of limited capability of handheld device and limited network capacity. In particular, the design of those schemes is challenged by the lack of podcast channel popularity information at each node which is crucial for forwarding and caching decisions. We design a distributed reputation system based on modified Bayesian framework that enable each node estimates the channel popularity in a efficient way. It estimates channel popularity by not only first hand observations but also second hand observations from other nodes. Our simulation result shows reputation system can always well estimate most popular, intermediate and low popular channels, compare to history-based rank scheme which can only well estimate a few most popular channels. Reputation system significantly outperforms history-based rank when the public cache size is small or "a" parameter of Zipf-like distribution is small

Smoking cessation and the incidence of pre-diabetes and type 2 diabetes: a cohort study.

AIMS: Smoking cessation has been suggested to increase the short-term risk of type 2 diabetes mellitus (T2DM). This study aimed at assessing the association between smoking cessation and incidence of T2DM and impaired fasting glucose (IFG). METHODS: Data from participants in the CoLaus study, Switzerland, aged 35-75 at baseline and followed for 5.5years were used. Participants were classified as smokers, recent (≤5years), long-term (>5years) quitters, and non-smokers at baseline. Outcomes were IFG (fasting serum glucose (FSG) 5.6-6.99mmol/l) and T2DM (FSG ≥7.0mmol/l and/or treatment) at follow up. RESULTS: 3,166 participants (63% women) had normal baseline FSG, of whom 26.7% were smokers, 6.5% recent quitters, and 23.5% long-term quitters. During follow-up 1,311 participants (41.4%) developed IFG (33.6% women, 54.7% men) and 47 (1.5%) developed T2DM (1.1% women, 2.1% men). Former smokers did not have statistically significant increased odds of IFG compared with smokers after adjustment for age, education, physical activity, hypercholesterolemia, hypertension and alcohol intake, with OR of 1.29 [95% confidence interval 0.94-1.76] for recent quitters and 1.03 [0.84-1.27] for long-term quitters. Former smokers did not have significant increased odds of T2DM compared with smokers with multivariable-adjusted OR of 1.53 [0.58-4.00] for recent quitters and 0.64 [0.27-1.48] for long-term quitters. Adjustment for body-mass index and waist circumference attenuated the association between recent quitting and IFG (OR 1.07 [0.78-1.48]) and T2DM (OR 1.28 [0.48-3.40]. CONCLUSION: In this middle-aged population, smoking cessation was not associated with an increased risk of IFG or T2DM

Optimal channel choice for collaborative ad-hoc dissemination

Abstract—Collaborative ad-hoc dissemination of information has been proposed as an efficient means to disseminate information among devices in a wireless ad-hoc network. Devices help in forwarding the information channels to the entire network, by disseminating the channels they subscribe to, plus others. We consider the case where devices have a limited amount of storage that they are willing to devote to the public good, and thus have to decide which channels they are willing to help disseminate. We are interested in finding channel selection strategies which optimize the dissemination time across the channels. We first consider a simple model under the random mixing assumption; we show that channel dissemination time can be characterized in terms of the number of nodes that forward this channel. Then we show that maximizing a social welfare is equivalent to an assignment problem, whose solution can be obtained by a centralized greedy algorithm. We show empirical evidence, based on Zune data, that there is a substantial difference between the utility of the optimal assignment and heuristics that were used in the past. We also show that the optimal assignment can be approximated in a distributed way by a Metropolis-Hastings sampling algorithm. We also give a variant that accounts for battery level. This leads to a practical channel selection and reselection algorithm that can be implemented without any central control. I