Generative FDG-PET and MRI model of aging and disease progression in Alzheimer's disease.

The failure of current strategies to provide an explanation for controversial findings on the pattern of pathophysiological changes in Alzheimer's Disease (AD) motivates the necessity to develop new integrative approaches based on multi-modal neuroimaging data that captures various aspects of disease pathology. Previous studies using [18F]fluorodeoxyglucose positron emission tomography (FDG-PET) and structural magnetic resonance imaging (sMRI) report controversial results about time-line, spatial extent and magnitude of glucose hypometabolism and atrophy in AD that depend on clinical and demographic characteristics of the studied populations. Here, we provide and validate at a group level a generative anatomical model of glucose hypo-metabolism and atrophy progression in AD based on FDG-PET and sMRI data of 80 patients and 79 healthy controls to describe expected age and symptom severity related changes in AD relative to a baseline provided by healthy aging. We demonstrate a high level of anatomical accuracy for both modalities yielding strongly age- and symptom-severity- dependant glucose hypometabolism in temporal, parietal and precuneal regions and a more extensive network of atrophy in hippocampal, temporal, parietal, occipital and posterior caudate regions. The model suggests greater and more consistent changes in FDG-PET compared to sMRI at earlier and the inversion of this pattern at more advanced AD stages. Our model describes, integrates and predicts characteristic patterns of AD related pathology, uncontaminated by normal age effects, derived from multi-modal data. It further provides an integrative explanation for findings suggesting a dissociation between early- and late-onset AD. The generative model offers a basis for further development of individualized biomarkers allowing accurate early diagnosis and treatment evaluation.

Plutonium and americium isotopes as alternative chronostratigraphic markers in tropical regions: An application in the Havana Bay (Cuba)

The low 137Cs activity observed in marine sediments of tropical regions often precludes its use as chronostratigraphic marker. Here we present a study on the use of Pu and Am radioisotopes as alternative markers to constrain the 210Pb ages in a sediment core of the Havana Bay (Cuba). Mean activity ratios of 238Pu/239,240Pu, 241Am/239,240Pu and 241Pu/239,240Pu indicated that the nuclear weapon tests fallout is the main source of the anthropogenic radionuclides. While the inventory of 137Cs in the sediments is lower than the expected fallout inventory, 239,240Pu accumulates in the sediments with inventories higher than the expected fallout inventory. The high fluxes of 239,240Pu are nevertheless corroborated here through use of 210Pb, and confirm that focusing of solid particles is of great importance in the investigated site. 239,240Pu showed to be a useful time tracer in marine sites where the 137Cs signal is very low.

Regional Innovation Policy: Effect on SMEs in Five EU-Regions

Valtaosa eurooppalaisista yrityksistä on pk-yrityksiä, mutta tästä huolimatta seudullisen innovaatiopolitiikan vaikutusta juuri pk-yrityksiin on tutkittu melko vähän. Tämän tutkimuksen tarkoituksena on luoda yleiskuva pk-yritysten näkemykseen oman seutunsa innovaatiopolitiikasta viidellä EU:n alueella sijaitsevalla seudulla. Kirjallisuuden perusteella rakennettiin seudullista innovaatiopolitiikkaa kuvaava kysely, johon joukko pk-yrityksiä viideltä seudulta vastasi. Kyselyn tulokset kuvailtiin graafisesti, minkä lisäksi etsittiin vastauksiin vaikuttaneita tekijöitä ja yhteyksiä yritysten vastausten välillä. Tutkimus oli luonteeltaan lähinnä kvantitatiivinen. Tutkimus osoittaa, että seudullisessainnovaatiopolitiikassa on vielä paljon kehitettävää, jotta se tavoittaisi kattavasti pk-yritykset. Pk-yritysten tietoisuutta tulisi lisätä, sillä nämä eivät yleisesti ottaen näytä pitävän seudullista innovaatiopolitiikkaa menetykseen vaikuttavana tekijänä tai siihen liittyviä yhteistyömahdollisuuksia tärkeinä omalle toiminnalleen. Erot innovaatiotoiminnan seudullisessa roolissa tulivat esiin tuloksissa. Yritysten vastauksia selittäviä tekijöitä löydettiin, samoin yhteyksiä vastausten välillä, mutta varsinaisten johtopäätösten tekeminen edellyttänee laajempaa tutkimusta

Classifying minimally disabled multiple sclerosis patients from resting state functional connectivity.

Multiple sclerosis (MS), a variable and diffuse disease affecting white and gray matter, is known to cause functional connectivity anomalies in patients. However, related studies published to-date are post hoc; our hypothesis was that such alterations could discriminate between patients and healthy controls in a predictive setting, laying the groundwork for imaging-based prognosis. Using functional magnetic resonance imaging resting state data of 22 minimally disabled MS patients and 14 controls, we developed a predictive model of connectivity alterations in MS: a whole-brain connectivity matrix was built for each subject from the slow oscillations (<0.11Hz) of region-averaged time series, and a pattern recognition technique was used to learn a discriminant function indicating which particular functional connections are most affected by disease. Classification performance using strict cross-validation yielded a sensitivity of 82% (above chance at p<0.005) and specificity of 86% (p<0.01) to distinguish between MS patients and controls. The most discriminative connectivity changes were found in subcortical and temporal regions, and contralateral connections were more discriminative than ipsilateral connections. The pattern of decreased discriminative connections can be summarized post hoc in an index that correlates positively (ρ=0.61) with white matter lesion load, possibly indicating functional reorganisation to cope with increasing lesion load. These results are consistent with a subtle but widespread impact of lesions in white matter and in gray matter structures serving as high-level integrative hubs. These findings suggest that predictive models of resting state fMRI can reveal specific anomalies due to MS with high sensitivity and specificity, potentially leading to new non-invasive markers.

Genome-wide prediction of matrix attachment regions that increase gene expression in mammalian cells.

Gene transfer in eukaryotic cells and organisms suffers from epigenetic effects that result in low or unstable transgene expression and high clonal variability. Use of epigenetic regulators such as matrix attachment regions (MARs) is a promising approach to alleviate such unwanted effects. Dissection of a known MAR allowed the identification of sequence motifs that mediate elevated transgene expression. Bioinformatics analysis implied that these motifs adopt a curved DNA structure that positions nucleosomes and binds specific transcription factors. From these observations, we computed putative MARs from the human genome. Cloning of several predicted MARs indicated that they are much more potent than the previously known element, boosting the expression of recombinant proteins from cultured cells as well as mediating high and sustained expression in mice. Thus we computationally identified potent epigenetic regulators, opening new strategies toward high and stable transgene expression for research, therapeutic production or gene-based therapies.

An operon of three transcriptional regulators controls horizontal gene transfer of the integrative and conjugative element ICEclc in Pseudomonas knackmussii B13.

The integrative and conjugative element ICEclc is a mobile genetic element in Pseudomonas knackmussii B13, and an experimental model for a widely distributed group of elements in Proteobacteria. ICEclc is transferred from specialized transfer competent cells, which arise at a frequency of 3-5% in a population at stationary phase. Very little is known about the different factors that control the transfer frequency of this ICE family. Here we report the discovery of a three-gene operon encoded by ICEclc, which exerts global control on transfer initiation. The operon consists of three consecutive regulatory genes, encoding a TetR-type repressor MfsR, a MarR-type regulator and a LysR-type activator TciR. We show that MfsR autoregulates expression of the operon, whereas TciR is a global activator of ICEclc gene expression, but no clear role was yet found for MarR. Deletion of mfsR increases expression of tciR and marR, causing the proportion of transfer competent cells to reach almost 100% and transfer frequencies to approach 1 per donor. mfsR deletion also caused a two orders of magnitude loss in population viability, individual cell growth arrest and loss of ICEclc. This indicates that autoregulation is an important feature maintaining ICE transfer but avoiding fitness loss. Bioinformatic analysis showed that the mfsR-marR-tciR operon is unique for ICEclc and a few highly related ICE, whereas tciR orthologues occur more widely in a large variety of suspected ICE among Proteobacteria.

Interhemispheric coupling between the posterior sylvian regions impacts successful auditory temporal order judgment.

Accurate perception of the temporal order of sensory events is a prerequisite in numerous functions ranging from language comprehension to motor coordination. We investigated the spatio-temporal brain dynamics of auditory temporal order judgment (aTOJ) using electrical neuroimaging analyses of auditory evoked potentials (AEPs) recorded while participants completed a near-threshold task requiring spatial discrimination of left-right and right-left sound sequences. AEPs to sound pairs modulated topographically as a function of aTOJ accuracy over the 39-77ms post-stimulus period, indicating the engagement of distinct configurations of brain networks during early auditory processing stages. Source estimations revealed that accurate and inaccurate performance were linked to bilateral posterior sylvian regions activity (PSR). However, activity within left, but not right, PSR predicted behavioral performance suggesting that left PSR activity during early encoding phases of pairs of auditory spatial stimuli appears critical for the perception of their order of occurrence. Correlation analyses of source estimations further revealed that activity between left and right PSR was significantly correlated in the inaccurate but not accurate condition, indicating that aTOJ accuracy depends on the functional decoupling between homotopic PSR areas. These results support a model of temporal order processing wherein behaviorally relevant temporal information--i.e. a temporal 'stamp'--is extracted within the early stages of cortical processes within left PSR but critically modulated by inputs from right PSR. We discuss our results with regard to current models of temporal of temporal order processing, namely gating and latency mechanisms.

ENFIN--A European network for integrative systems biology.

Integration of biological data of various types and the development of adapted bioinformatics tools represent critical objectives to enable research at the systems level. The European Network of Excellence ENFIN is engaged in developing an adapted infrastructure to connect databases, and platforms to enable both the generation of new bioinformatics tools and the experimental validation of computational predictions. With the aim of bridging the gap existing between standard wet laboratories and bioinformatics, the ENFIN Network runs integrative research projects to bring the latest computational techniques to bear directly on questions dedicated to systems biology in the wet laboratory environment. The Network maintains internally close collaboration between experimental and computational research, enabling a permanent cycling of experimental validation and improvement of computational prediction methods. The computational work includes the development of a database infrastructure (EnCORE), bioinformatics analysis methods and a novel platform for protein function analysis FuncNet.

Regional Innovation Policy: Effect on SMEs in Five EU-Regions

Valtaosa eurooppalaisista yrityksistä on pk-yrityksiä, mutta tästä huolimatta seudullisen innovaatiopolitiikan vaikutusta juuri pk-yrityksiin on tutkittu melko vähän. Tämän tutkimuksen tarkoituksena on luoda yleiskuva pk-yritysten näkemykseen oman seutunsa innovaatiopolitiikasta viidellä EU:n alueella sijaitsevalla seudulla. Kirjallisuuden perusteella rakennettiin seudullista innovaatiopolitiikkaa kuvaava kysely, johon joukko pk-yrityksiä viideltä seudulta vastasi. Kyselyn tulokset kuvailtiin graafisesti, minkä lisäksi etsittiin vastauksiin vaikuttaneita tekijöitä ja yhteyksiä yritysten vastausten välillä. Tutkimus oli luonteeltaan lähinnä kvantitatiivinen. Tutkimus osoittaa, että seudullisessa innovaatiopolitiikassa on vielä paljon kehitettävää, jotta se tavoittaisi kattavasti pk-yritykset. Pk-yritysten tietoisuutta tulisi lisätä, sillä nämä eivät yleisesti ottaen näytä pitävän seudullista innovaatiopolitiikkaa menetykseen vaikuttavana tekijänä tai siihen liittyviä yhteistyömahdollisuuksia tärkeinä omalle toiminnalleen. Erot innovaatiotoiminnan seudullisessa roolissa tulivat esiin tuloksissa. Yritysten vastauksia selittäviä tekijöitä löydettiin, samoin yhteyksiä vastausten välillä, mutta varsinaisten johtopäätösten tekeminen edellyttänee laajempaa tutkimusta.

Task-induced deactivation from rest extends beyond the default mode brain network

Activity decreases, or deactivations, of midline and parietal cortical brain regions are routinely observed in human functional neuroimaging studies that compare periods of task-based cognitive performance with passive states, such as rest. It is now widely held that such task-induced deactivations index a highly organized"default-mode network" (DMN): a large-scale brain system whose discovery has had broad implications in the study of human brain function and behavior. In this work, we show that common task-induced deactivations from rest also occur outside of the DMN as a function of increased task demand. Fifty healthy adult subjects performed two distinct functional magnetic resonance imaging tasks that were designed to reliably map deactivations from a resting baseline. As primary findings, increases in task demand consistently modulated the regional anatomy of DMN deactivation. At high levels of task demand, robust deactivation was observed in non-DMN regions, most notably, the posterior insular cortex. Deactivation of this region was directly implicated in a performance-based analysis of experienced task difficulty. Together, these findings suggest that task-induced deactivations from rest are not limited to the DMN and extend to brain regions typically associated with integrative sensory and interoceptive processes.

Patterns of nucleotide diversity at the regions encompassing the Drosophila insulin-like peptide (dilp) genes: demography vs positive selection in Drosophila melanogaster.

In Drosophila, the insulin-signaling pathway controls some life history traits, such as fertility and lifespan, and it is considered to be the main metabolic pathway involved in establishing adult body size. Several observations concerning variation in body size in the Drosophila genus are suggestive of its adaptive character. Genes encoding proteins in this pathway are, therefore, good candidates to have experienced adaptive changes and to reveal the footprint of positive selection. The Drosophila insulin-like peptides (DILPs) are the ligands that trigger the insulin-signaling cascade. In Drosophila melanogaster, there are several peptides that are structurally similar to the single mammalian insulin peptide. The footprint of recent adaptive changes on nucleotide variation can be unveiled through the analysis of polymorphism and divergence. With this aim, we have surveyed nucleotide sequence variation at the dilp1-7 genes in a natural population of D. melanogaster. The comparison of polymorphism in D. melanogaster and divergence from D. simulans at different functional classes of the dilp genes provided no evidence of adaptive protein evolution after the split of the D. melanogaster and D. simulans lineages. However, our survey of polymorphism at the dilp gene regions of D. melanogaster has provided some evidence for the action of positive selection at or near these genes. The regions encompassing the dilp1-4 genes and the dilp6 gene stand out as likely affected by recent adaptive events.

Patent claims in certain geographical regions

Työn tavoitteena oli käsitellä mahdollisuutta laatia patenttihakemuksen vaatimuksia siten, että patenttihakemukset toimisivat eri oikeusalueilla, jotka ovat tässä Eurooppa, Suomi ja USA. Aluksi käsiteltiin patentointia ja eri patenttijärjestelmiä yleisesti, jonka jälkeen käsiteltiin lähemmin patenttivaatimuksia, niiden muotoja ja eri vaatimusten edellytyksiä, joita vaaditaan Euroopan patenttisopimuksessa, suomalaisessa ja USA:laisessa patenttijärjestelmässä. Vaikka uutuus, keksinnöllisyys ja teollinen käyttökelpoisuus ovat tärkeimmät edellytykset kun määritetään patenttivaatimuksia, niitä ei käsitelty työn empiirisessä osassa. Työn empiirinen osuus osoittaa selvästi, että erilaiset muodolliset vaatimukset Euroopan patenttisopimuksessa, suomalaisessa ja USA:laisessa patenttijärjestelmässä hankaloittavat patenttivaatimusten laatimista siten että ne toimisivat yhdessä patenttihakemuksessa yllä mainituissa patenttijärjestelmissä. Empiirisen tutkimuksen ja eri oikeusalueilla patenttivaatimusten edellytysten perusteella, ei ole yksinkertaista ratkaisua laatia patenttivaatimuksia (ja myös patenttiselostuksia), jotka toimisivat monilla oikeusalueilla. Eräs ratkaisu ongelmaan on laatia yksi sarja patenttivaatimuksia, jotka täyttävät Euroopan patenttisopimuksen käytännön mukaiset edellytykset (täyttävät myös Suomalaisen patenttijärjestelmän edellytykset) ja toinen sarja patenttivaatimuksia, jotka täyttävät USA:laisen patenttijärjestelmän edellytykset samassa patenttihakemuksessa. Hakemuksen käsittelyvaiheessa hakija voi pudottaa patenttivaatimukset, jotka eivät täytä kansallisen patenttijärjestelmän edellytyksiä patenttihakemuksesta.