Submicrometer tomography of cells by multiple-wavelength digital holographic microscopy in reflection

We present first results on a method enabling mechanical scanning-free tomography with submicrometer axial resolution by multiple-wavelength digital holographic microscopy. By sequentially acquiring reflection holograms and summing 20 wavefronts equally spaced in spatial frequency in the 485-670 nm range, we are able to achieve a slice-by-slice tomographic reconstruction with a 0.6-1 mum axial resolution in a biological medium. The method is applied to erythrocytes investigation to retrieve the cellular membrane profile in three dimensions.

Histology-driven data mining of lipid signatures from multiple imaging mass spectrometry analyses: application to human colorectal cancer liver metastasis biopsies.

Imaging mass spectrometry (IMS) represents an innovative tool in the cancer research pipeline, which is increasingly being used in clinical and pharmaceutical applications. The unique properties of the technique, especially the amount of data generated, make the handling of data from multiple IMS acquisitions challenging. This work presents a histology-driven IMS approach aiming to identify discriminant lipid signatures from the simultaneous mining of IMS data sets from multiple samples. The feasibility of the developed workflow is evaluated on a set of three human colorectal cancer liver metastasis (CRCLM) tissue sections. Lipid IMS on tissue sections was performed using MALDI-TOF/TOF MS in both negative and positive ionization modes after 1,5-diaminonaphthalene matrix deposition by sublimation. The combination of both positive and negative acquisition results was performed during data mining to simplify the process and interrogate a larger lipidome into a single analysis. To reduce the complexity of the IMS data sets, a sub data set was generated by randomly selecting a fixed number of spectra from a histologically defined region of interest, resulting in a 10-fold data reduction. Principal component analysis confirmed that the molecular selectivity of the regions of interest is maintained after data reduction. Partial least-squares and heat map analyses demonstrated a selective signature of the CRCLM, revealing lipids that are significantly up- and down-regulated in the tumor region. This comprehensive approach is thus of interest for defining disease signatures directly from IMS data sets by the use of combinatory data mining, opening novel routes of investigation for addressing the demands of the clinical setting.

MOBP-specific cellular immune responses are weaker than MOG-specific cellular immune responses in patients with multiple sclerosis and healthy subjects.

Multiple sclerosis (MS) is an inflammatory and demyelinating disease of the central nervous system (CNS). Myelin oligodendrocyte glycoprotein (MOG) and myelin oligodendrocyte basic protein (MOBP) were both shown to be highly encephalitogenic in animal models of MS. In contrast, the association of MOG- and MOBP-specific humoral or cellular immune responses and MS in humans is far less established. In this study, we sought to analyse MOG- and MOBP-specific T-cell responses in a large cohort of patients with various stages of the disease. Patients with other neurological diseases and healthy subjects were enrolled to serve as control study subjects. We determined the proliferation and the secretion of IFN-γ secretion in our cohort. We found that MOG-specific T-cell responses were higher and more frequent as compared to MOBP-specific ones. However, both MS patients and control study subjects had similar myelin-specific T-cell responses at the periphery, thus calling for more precise studies at CNS level.

Imputation in data fusion of heterogeneous data sets a model-based numerical experiment

Given the very large amount of data obtained everyday through population surveys, much of the new research again could use this information instead of collecting new samples. Unfortunately, relevant data are often disseminated into different files obtained through different sampling designs. Data fusion is a set of methods used to combine information from different sources into a single dataset. In this article, we are interested in a specific problem: the fusion of two data files, one of which being quite small. We propose a model-based procedure combining a logistic regression with an Expectation-Maximization algorithm. Results show that despite the lack of data, this procedure can perform better than standard matching procedures.

OnabotulinumtoxinA and multiple sclerosis.

Lower urinary tract dysfunction is present in two of three patients with multiple sclerosis five years after the diagnosis. Most frequent symptoms are related to neurogenic detrusor overactivity, often associated with detrusor-sphincter dyssynergia. From the end of the 1990s, there is growing evidence that neurogenic detrusor overactivity can be effectively managed by intradetrusorial injections of botulinum toxin type A. This treatment has shown, in different randomised placebo-controlled trials, to be safe and effective on clinical and urodynamic parameters with significant improvement in quality of life. The median duration of effect is in mean nine months. The vast majority of studies have been conducted with onabotulinumtoxinA. The dose of onabotulinumtoxinA commonly used to treat neurogenic detrusor overactivity in patients with multiple sclerosis is 200 UI, even if in selected patients lower doses can be preferred. To be considered eligible for treatment, all patients should accept and be instructed to perform clean intermittent self-catheterisation, since the risk of increased post-void residual volume and/or urinary retention after injection is high, especially with 200 UI of onabotulinumtoxinA. However, quality of life and patient satisfaction seem not to be affected by the need of intermittent catheterisation. The risk of urinary infection after the procedure is to be kept in mind, mainly in patients with multiple sclerosis, so that adequate antibiotic prophylaxis is highly recommended.

Significant genetic and phenotypic changes arising from clonal growth of a single spore of an arbuscular mycorrhizal fungus over multiple generations.

Arbuscular mycorrhizal fungi (AMF) are highly successful plant symbionts. They reproduce clonally producing multinucleate spores. It has been suggested that some AMF harbor genetically different nuclei. However, recent advances in sequencing the Glomus irregulare genome have indicated very low within-fungus polymorphism. We tested the null hypothesis that, with no genetic differences among nuclei, no significant genetic or phenotypic variation would occur among clonal single spore lines generated from one initial AMF spore. Furthermore, no additional variation would be expected in the following generations of single spore lines. Genetic diversity contained in one initial spore repeatedly gave rise to genetically different variants of the fungus with novel phenotypes. The genetic changes represented quantitative changes in allele frequencies, most probably as a result of changes in the frequency of genetic variation partitioned on different nuclei. The genetic and phenotypic variation is remarkable, given that it arose repeatedly from one clonal individual. Our results highlight the dynamic nature of AMF genetics. Even though within-fungus genetic variation is low, some is probably partitioned among nuclei and potentially causes changes in the phenotype. Our results are important for understanding AMF genetics, as well as for researchers and biotechnologists hoping to use AMF genetic diversity for the improvement of AMF inoculum.

Antibiotic resistant bacteria/genes dissemination in lacustrine sediments highly increased following cultural eutrophication of Lake Geneva (Switzerland).

This study investigates faecal indicator bacteria (FIB), multiple antibiotic resistant (MAR), and antibiotic resistance genes (ARGs), of sediment profiles from different parts of Lake Geneva (Switzerland) over the last decades. MARs consist to expose culturable Escherichia coli (EC) and Enterococcus (ENT) to mixed five antibiotics including Ampicillin, Tetracycline, Amoxicillin, Chloramphenicol and Erythromycin. Culture-independent is performed to assess the distribution of ARGs responsible for, β-lactams (blaTEM; Amoxicillin/Ampicillin), Streptomycin/Spectinomycin (aadA), Tetracycline (tet) Chloramphenicol (cmlA) and Vancomycin (van). Bacterial cultures reveal that in the sediments deposited following eutrophication of Lake Geneva in the 1970s, the percentage of MARs to five antibiotics varied from 0.12% to 4.6% and 0.016% to 11.6% of total culturable EC and ENT, respectively. In these organic-rich bacteria-contaminated sediments, the blaTEM resistant of FIB varied from 22% to 48% and 16% to 37% for EC and ENT respectively, whereas the positive PCR assays responsible for tested ARGs were observed for EC, ENT, and total DNA from all samples. The aadA resistance gene was amplified for all the sediment samples, including those not influenced by WWTP effluent water. Our results demonstrate that bacteria MARs and ARGs highly increased in the sediments contaminated with WWTP effluent following the cultural eutrophication of Lake Geneva. Hence, the human-induced changing limnological conditions highly enhanced the sediment microbial activity, and therein the spreading of antibiotic resistant bacteria and genes in this aquatic environment used to supply drinking water in a highly populated area. Furthermore, the presence of the antibiotic resistance gene aadA in all the studied samples points out a regional dissemination of this emerging contaminant in freshwater sediments since at least the late nineteenth century.

Multiple causes of the evolution of dispersal in metapopulations

Abstract This work investigates the outcome of the interaction of the multiple causes of selection acting on dispersal in metapopulations. Dispersal, defined here as the ability of individuals to move out of their natal population to reproduce in an other one, has three main causes. First, population variability, as caused by random population extinctions, induces high incentives to disperse through the probability to recolonize an empty population and thus to escape competition for space. This adds to the second cause, kin competition avoidance where individuals in a crowded patch will benefit from the release of competition with relatives caused by dispersal. Dispersal may thus be viewed as an altruistic act. Third, dispersal might evolve as a strategy of avoiding inbred matings which are expected to bear fitness costs due to the presence of a mutation load. The interaction of inbreeding avoidance and kin competition is explored in chapter 2. Conditions conducive to the establishment of a high relatedness within population are expected to induce high dispersal through both kin competition avoidance and inbreeding avoidance. However, the dynamics of inbreeding depression is bound to depend on the level of gene flow as well as on the deleterious mutation parameters. Mutations more prone to settle a high level of inbreeding depression will select for increased dispersal. Chapter 3 investigates the effect of the mating system on the joint dynamics of dispersal and inbreeding depression. Higher inbreeding rates as those found in various mating systems lead to a more efficient purge of the deleterious mutations. However, this decrease in the costs of inbreeding are usually accompanied by a higher within deme relatedness which balances the decreased effect of inbreeding avoidance on the evolution of dispersal. Finally, population turnover, as found in most natural populations has a dual effect on dispersal. Indeed, it increases dispersal by the increased probability of winning a breeding slot in extinct demes it creates but, on the other hand, it counter-selects for dispersal through the slow establishment of unsaturated demic conditions which contribute to lower the local competition for space. Résumé Ce travail se propose d'étudier les effets conjoints des multiples causes de l'évolution de la dispersion en métapopulation. La dispersion, définie ici comme étant la capacité de quitter sa population d'origine pour se reproduire dans une antre population, possède trois principales causes. Premièrement, l'extinction aléatoire de populations sélectionne pour plus de dispersion car elle augmente la Probabilité de recoloniser un patch éteint et donc d'échapper à la compétition locale. La seconde cause, l'évitement de la compétition de parentèle, sélectionne pour plus de dispersion par les bénéfices qu'elle apporte par diminution de la compétition entre individus apparentés. Troisièmement, la dispersion évolue "comme stratégie d'évitement de la dépression de consanguinité présente dans des petites populations isolées. L'interaction entre l'évitement de la consanguinité et de la compétition de parentèle est étudiée dans le chapitre 2. Les conditions conduisant à l'établissement d'un fort apparentement à l'intérieur des populations sont celles qui génèrent le plus de sélection pour la dispersion. Cependant, la dynamique de la dépression de consanguinité est dépendante de la dispersion entre populations ainsi que des paramètres des mutations délétères. Les mutations créant le plus de dépression de consanguinité sont celles qui sélectionneront le plus pour de la dispersion. Le chapitre 3 s'intéresse aux effets du système de reproduction sur la dynamique conjointe du fardeau de mutation et de la dispersion. La purge des mutations délétère étant plus sévère dans des conditions de forte consanguinité, elle diminue les coûts de la consanguinité mais est habituellement accompagné par une augmentation de l'apparentement et donc l'effet peut être neutre sur la dispersion. Finalement, le turnover de populations a un effet dual sur la dispersion. La dispersion est sélectionnée par l'augmentation de la probabilité de gagner une place de reproduction dans des patchs éteints mais elle est également contre sélectionnée par la désaturation des patchs causée par l'extinction et la diminution de la compétition pour l'espace qui intervient dans ce cas.

Forest fires cluster detection with space-time scan statistics

Forest fires are defined as uncontrolled fires often occurring in wildland areas, but that can also affect houses or agricultural resources. Causes are both natural (e.g.,lightning phenomena) and anthropogenic (human negligence or arsons).Major environmental factors influencing the fire ignition and propagation are climate and vegetation. Wildfires are most common and severe during drought period and on windy days. Moreover, under water-stress conditions, which occur after a long hot and dry period, the vegetation is more vulnerable to fire. These conditions are common in the United State and Canada, where forest fires represent a big problem. We focused our analysis on the state of Florida, for which a big dataset on forest fires detection is readily available. USDA Forest Service Remote Sensing Application Center, in collaboration with NASA-Goddard Space Flight Center and the University of Maryland, has compiled daily MODIS Thermal Anomalies (fires and biomass burning images) produced by NASA using a contextual algorithm that exploits the strong emission of mid-infrared radiation from fires. Fire classes were converted in GIS format: daily MODIS fire detections are provided as the centroids of the 1 kilometer pixels and compiled into daily Arc/INFO point coverage.

Progressive decline of decision-making performances during multiple sclerosis.

The purpose of this study was to evaluate longitudinally, using the Iowa Gambling Task (IGT), the dynamics of decision-making capacity at a two-year interval (median: 2.1 years) in a group of patients with multiple sclerosis (MS) (n = 70) and minor neurological disability [Expanded Disability Status Scale (EDSS) < or = 2.5 at baseline]. Cognition (memory, executive functions, attention), behavior, handicap, and perceived health status were also investigated. Standardized change scores [(score at retest-score at baseline)/standard deviation of baseline score] were computed. Results showed that IGT performances decreased from baseline to retest (from 0.3, SD = 0.4 to 0.1, SD = 0.3, p = .005). MS patients who worsened in the IGT were more likely to show a decreased perceived health status and emotional well-being (SEP-59; p = .05 for both). Relapsing rate, disability progression, cognitive, and behavioral changes were not associated with decreased IGT performances. In conclusion, decline in decision making can appear as an isolated deficit in MS.

Qualité des statistiques de causes de décès: problèmes actuels et perspectives. [Quality of statistics on causes of death: current problems and perspectives].

Statistics of causes of death remain an important source of epidemiological data for the evaluation of various medical and health problems. The improvement of analytical techniques and, above all, the transformation of demographic and morbid structures of populations have prompted researchers in the field to give more importance to the quality of death certificates. After describing the data collection system presently used in Switzerland, the paper discusses various indirect estimations of the quality of Swiss data and reviews the corresponding international literature.

Immune responses to JC virus in patients with multiple sclerosis treated with natalizumab: a cross-sectional and longitudinal study.

BACKGROUND: Natalizumab is used to prevent relapses and progression of disability in patients with multiple sclerosis but has been associated with progressive multifocal leukoencephalopathy (PML). We aimed to better understand the associations between JC virus, which causes PML, and natalizumab treatment. METHODS: We prospectively assessed patients with multiple sclerosis who started treatment with natalizumab. Blood and urine samples were tested for the presence of JC virus DNA with quantitative real-time PCR before treatment and at regular intervals after treatment onset for up to 18 months. At the same timepoints, by use of proliferation and enzyme-linked immunospot assays, the cellular immune responses against JC virus, Epstein-Barr virus, cytomegalovirus, myelin oligodendrocyte glycoprotein, and myelin oligodendrocyte basic protein (MOBP) were assessed. Humoral immune response specific to JC virus was assessed with an enzyme immunoassay. The same experiments were done on blood samples from patients with multiple sclerosis before and 10 months after the start of interferon beta treatment. FINDINGS: We assessed 24 patients with multiple sclerosis who received natalizumab and 16 who received interferon beta. In patients treated with natalizumab, JC virus DNA was not detected in the blood at any timepoint. However, JC virus DNA was present in the urine of six patients and in most of these patients the concentrations of JC virus DNA were stable over time. Compared with pretreatment values, the cellular immune response was increased to cytomegalovirus at 6 months, to JC virus at 1, 9, and 12 months, and to Epstein-Barr virus and MOBP at 12 months. Humoral responses remained stable. There were no increases in cellular immune responses specific to the viruses or myelin proteins in the 16 patients treated with interferon beta. INTERPRETATION: Natalizumab increases cellular immune responses specific to viruses and myelin proteins in the peripheral blood after 1 year, without evidence of viral reactivation. FUNDING: Swiss National Foundation, Swiss Society for Multiple Sclerosis, and Biogen Dompé.