IL-7/anti-IL-7 mAb complexes restore T cell development and induce homeostatic T Cell expansion without lymphopenia.

IL-7, a member of the common gamma-chain family of cytokines, is essential for B and T lymphocyte development and homeostasis of mature T cell subsets. Thus, naive and memory T cells are both dependent on IL-7 for survival and homeostatic proliferation under lymphopenic conditions. In line with prior findings with IL-2, we show in this study that the biological activity of IL-7 in vivo is greatly increased by association with anti-IL-7 mAb. Under in vivo conditions, IL-7/mAb complexes displayed 50- to 100-fold higher activity than free IL-7 and induced massive expansion of pre-B cells. IL-7/mAb complexes also increased thymopoiesis in normal mice and restored thymopoeisis in IL-7-deficient mice. For mature T cells, IL-7/mAb complexes induced marked homeostatic proliferation of both naive and memory CD4(+) and CD8(+) cell subsets even under normal T cell-replete conditions. Finally, IL-7/mAb complexes were able to enhance the magnitude of the primary response of Ag-specific naive CD8(+) cells. The strong stimulatory activity of IL-7/mAb complexes could be useful for treatment of immunodeficiency and cancer.

Harmonisation of short-term in vitro culture for the expansion of antigen-specific CD8(+) T cells with detection by ELISPOT and HLA-multimer staining.

Ex vivo ELISPOT and multimer staining are well-established tests for the assessment of antigen-specific T cells. Many laboratories are now using a period of in vitro stimulation (IVS) to enhance detection. Here, we report the findings of a multi-centre panel organised by the Association for Cancer Immunotherapy Immunoguiding Program to investigate the impact of IVS protocols on the detection of antigen-specific T cells of varying ex vivo frequency. Five centres performed ELISPOT and multimer staining on centrally prepared PBMCs from 3 donors, both ex vivo and following IVS. A harmonised IVS protocol was designed based on the best-performing protocol(s), which was then evaluated in a second phase on 2 donors by 6 centres. All centres were able to reliably detect antigen-specific T cells of high/intermediate frequency both ex vivo (Phase I) and post-IVS (Phase I and II). The highest frequencies of antigen-specific T cells ex vivo were mirrored in the frequencies following IVS and in the detection rates. However, antigen-specific T cells of a low/undetectable frequency ex vivo were not reproducibly detected post-IVS. Harmonisation of the IVS protocol reduced the inter-laboratory variation observed for ELISPOT and multimer analyses by approximately 20 %. We further demonstrate that results from ELISPOT and multimer staining correlated after (P < 0.0001 and R (2) = 0.5113), but not before IVS. In summary, IVS was shown to be a reproducible method that benefitted from method harmonisation.

Fibroblastic reticular cells from lymph nodes attenuate T cell expansion by producing nitric oxide.

Adaptive immune responses are initiated when T cells encounter antigen on dendritic cells (DC) in T zones of secondary lymphoid organs. T zones contain a 3-dimensional scaffold of fibroblastic reticular cells (FRC) but currently it is unclear how FRC influence T cell activation. Here we report that FRC lines and ex vivo FRC inhibit T cell proliferation but not differentiation. FRC share this feature with fibroblasts from non-lymphoid tissues as well as mesenchymal stromal cells. We identified FRC as strong source of nitric oxide (NO) thereby directly dampening T cell expansion as well as reducing the T cell priming capacity of DC. The expression of inducible nitric oxide synthase (iNOS) was up-regulated in a subset of FRC by both DC-signals as well as interferon-γ produced by primed CD8+ T cells. Importantly, iNOS expression was induced during viral infection in vivo in both LN FRC and DC. As a consequence, the primary T cell response was found to be exaggerated in Inos(-/-) mice. Our findings highlight that in addition to their established positive roles in T cell responses FRC and DC cooperate in a negative feedback loop to attenuate T cell expansion during acute inflammation.

Analysis of sensitivity with respect to a compositional parameter : A comment on 'Local sensitivity analysis for compositional data with application to soil texture in hydrologic modelling' by L. Loosvelt and co-authors

A comment about the article “Local sensitivity analysis for compositional data with application to soil texture in hydrologic modelling” writen by L. Loosvelt and co-authors. The present comment is centered in three specific points. The first one is related to the fact that the authors avoid the use of ilr-coordinates. The second one refers to some generalization of sensitivity analysis when input parameters are compositional. The third tries to show that the role of the Dirichlet distribution in the sensitivity analysis is irrelevant

Expansion of gamma delta+ T cells in BALB/c mice infected with Leishmania major is dependent upon Th2-type CD4+ T cells.

T cells belong to either the alpha beta+ or gamma delta+ lineage as defined by their antigen receptor. Although both T-cell subsets have been shown to be involved in the immune response to the parasite Leishmania major, very little is known about possible interactions between these two populations. In this study, using a mouse model of infection with L. major, we showed that expansion of a subset of gamma delta+ T cells in vivo is dependent upon the presence of alpha beta+ CD4+ T cells. Moreover, this effect appears to be mediated via the secretion of lymphokines by CD4+ cells with a T-helper 2 (Th2) functional phenotype. Results showing that activation of Th2-type cells in mice treated with anti-immunoglobulin D antibodies or infected with Nippostrongylus brasiliensis also results in gamma delta+ T-cell expansion suggest that this effect of the Th2-type CD4+ cells is a general phenomenon not restricted to infection with L. major.

Quantitative multi-parameter mapping of R1, PD(*), MT, and R2(*) at 3T: a multi-center validation.

Multi-center studies using magnetic resonance imaging facilitate studying small effect sizes, global population variance and rare diseases. The reliability and sensitivity of these multi-center studies crucially depend on the comparability of the data generated at different sites and time points. The level of inter-site comparability is still controversial for conventional anatomical T1-weighted MRI data. Quantitative multi-parameter mapping (MPM) was designed to provide MR parameter measures that are comparable across sites and time points, i.e., 1 mm high-resolution maps of the longitudinal relaxation rate (R1 = 1/T1), effective proton density (PD(*)), magnetization transfer saturation (MT) and effective transverse relaxation rate (R2(*) = 1/T2(*)). MPM was validated at 3T for use in multi-center studies by scanning five volunteers at three different sites. We determined the inter-site bias, inter-site and intra-site coefficient of variation (CoV) for typical morphometric measures [i.e., gray matter (GM) probability maps used in voxel-based morphometry] and the four quantitative parameters. The inter-site bias and CoV were smaller than 3.1 and 8%, respectively, except for the inter-site CoV of R2(*) (<20%). The GM probability maps based on the MT parameter maps had a 14% higher inter-site reproducibility than maps based on conventional T1-weighted images. The low inter-site bias and variance in the parameters and derived GM probability maps confirm the high comparability of the quantitative maps across sites and time points. The reliability, short acquisition time, high resolution and the detailed insights into the brain microstructure provided by MPM makes it an efficient tool for multi-center imaging studies.

Popping expansion and yield responses of popcorn cultivars under different row spacings and plant populations

The objective of this work was to evaluate the agronomic traits and the popping expansion index of three Brazilian popcorn cultivars under different row spacings and plant populations. The trials were performed during two crop seasons, under field conditions. The experimental design used was a randomized complete block, in a split-split plot, with 27 treatments and four replicates. Treatments were represented in a triple factorial arrangement: three row spacings (0.40, 0.60, and 0.80 m), three plant populations (40,000, 60,000, and 80,000 plants per hectare), and three popcorn cultivars (IAC-TC 01, IAC 12, and Zelia). The increase in plant population causes a reduction in the number of grains per ear, lower prolificacy, and grain weight loss. Cultivar grain yield is affected by row spacing and popcorn plant population. Cultivar IAC 12 shows highest grain yield under row spacings of 0.40 and 0.60 m and plant population between 60,000 and 80,000 plants per hectare. The popping expansion index is not affected by row spacing or plant population.

Second-order parameter estimation

This work provides a general framework for the design of second-order blind estimators without adopting anyapproximation about the observation statistics or the a prioridistribution of the parameters. The proposed solution is obtainedminimizing the estimator variance subject to some constraints onthe estimator bias. The resulting optimal estimator is found todepend on the observation fourth-order moments that can be calculatedanalytically from the known signal model. Unfortunately,in most cases, the performance of this estimator is severely limitedby the residual bias inherent to nonlinear estimation problems.To overcome this limitation, the second-order minimum varianceunbiased estimator is deduced from the general solution by assumingaccurate prior information on the vector of parameters.This small-error approximation is adopted to design iterativeestimators or trackers. It is shown that the associated varianceconstitutes the lower bound for the variance of any unbiasedestimator based on the sample covariance matrix.The paper formulation is then applied to track the angle-of-arrival(AoA) of multiple digitally-modulated sources by means ofa uniform linear array. The optimal second-order tracker is comparedwith the classical maximum likelihood (ML) blind methodsthat are shown to be quadratic in the observed data as well. Simulationshave confirmed that the discrete nature of the transmittedsymbols can be exploited to improve considerably the discriminationof near sources in medium-to-high SNR scenarios.

Managing Subsidiary Integration During Corporate Expansion in Russia

Kansallisten rajojen yli laajentuvat yritykset kohtaavat kasvavia paineita yhtenäistää eri yksiköiden toimintatapoja, prosesseja ja järjestelmiä. Hyvin toteutettuna organisaation sisäinen integrointi voi johtaa tytäryritysten tuottavuuden parantumiseen ja strategisiin mittakaavaetuihin, kun taas huonosti toteutettuna integrointi voi johtaa lisääntyviin konflikteihin ja emoyhtiön kontrollin katoamiseen. Integroinnin kannalta Venäjälle perustettavat tytäryritykset asettavat suuria haasteita. Kasvava ja kehittyvä kansantalous on jatkuvassa muutoksessa kohti edistyneempiä ja tuottavampia toimintamalleja, mutta toisaalta yritystoiminnantaustalla vaikuttaa edelleenkin Neuvostoajan perinnöt, jotka muokkaavat yritysten johtamisrakenteita ja prosesseja. Nämä taustavaikuttajat vaikeuttavat kansainvälisen yrityksen yhtenäistämistä, mutta toisaalta tarjoavat suuria mahdollisuuksia yrityksille, jotka oppivat elämään Venäjän markkinoiden ehdoilla. Tämä tutkimus käyttää apunaan konstruktiivista tutkimustyötä ratkoakseenYIT:n Venäjälle perustettavien yritysten integrointiin liittyviä ongelmia ja mahdollisuuksia. Työn lopputuloksena syntyy oppimiseen pohjautuva integraatiostrategia ja tätä strategiaa tukeva integroinnin johtamisjärjestelmä.

Monte Carlo Methods in Parameter Estimation of Nonlinear Models

Yksi keskeisimmistä tehtävistä matemaattisten mallien tilastollisessa analyysissä on mallien tuntemattomien parametrien estimointi. Tässä diplomityössä ollaan kiinnostuneita tuntemattomien parametrien jakaumista ja niiden muodostamiseen sopivista numeerisista menetelmistä, etenkin tapauksissa, joissa malli on epälineaarinen parametrien suhteen. Erilaisten numeeristen menetelmien osalta pääpaino on Markovin ketju Monte Carlo -menetelmissä (MCMC). Nämä laskentaintensiiviset menetelmät ovat viime aikoina kasvattaneet suosiotaan lähinnä kasvaneen laskentatehon vuoksi. Sekä Markovin ketjujen että Monte Carlo -simuloinnin teoriaa on esitelty työssä siinä määrin, että menetelmien toimivuus saadaan perusteltua. Viime aikoina kehitetyistä menetelmistä tarkastellaan etenkin adaptiivisia MCMC menetelmiä. Työn lähestymistapa on käytännönläheinen ja erilaisia MCMC -menetelmien toteutukseen liittyviä asioita korostetaan. Työn empiirisessä osuudessa tarkastellaan viiden esimerkkimallin tuntemattomien parametrien jakaumaa käyttäen hyväksi teoriaosassa esitettyjä menetelmiä. Mallit kuvaavat kemiallisia reaktioita ja kuvataan tavallisina differentiaaliyhtälöryhminä. Mallit on kerätty kemisteiltä Lappeenrannan teknillisestä yliopistosta ja Åbo Akademista, Turusta.

Environmental and T cell-intrinsic factors limit the expansion of neonatal follicular T helper cells but may be circumvented by specific adjuvants.

Follicular Th (T(FH)) cells have emerged as a new Th subset providing help to B cells and supporting their differentiation into long-lived plasma cells or memory B cells. Their differentiation had not yet been investigated following neonatal immunization, which elicits delayed and limited germinal center (GC) responses. We demonstrate that neonatal immunization induces CXCR5(high)PD-1(high) CD4(+) T(FH) cells that exhibit T(FH) features (including Batf, Bcl6, c-Maf, ICOS, and IL-21 expression) and are able to migrate into the GCs. However, neonatal T(FH) cells fail to expand and to acquire a full-blown GC T(FH) phenotype, as reflected by a higher ratio of GC T(FH)/non-GC CD4(+) T cells in immunized adults than neonates (3.8 × 10(-3) versus 2.2 × 10(-3), p = 0.01). Following the adoptive transfer of naive adult OT-II CD4(+) T cells, OT-II T(FH) cells expand in the vaccine-draining lymph nodes of immunized adult but not infant recipients, whereas naive 2-wk-old CD4(+) OT-II cells failed to expand in adult hosts, reflecting the influence of both environmental and T cell-intrinsic factors. Postponing immunization to later in life increases the number of T(FH) cells in a stepwise manner, in direct correlation with the numbers of GC B cells and plasma cells elicited. Remarkably, adjuvantation with CpG oligonucleotides markedly increased GC T(FH) and GC B cell neonatal responses, up to adult levels. To our knowledge, this is the first demonstration that the T(FH) cell development limits early life GC responses and that adjuvants/delivery systems supporting T(FH) differentiation may restore adultlike early life GC B cell responses.

Managing Business Processes in Corporate Expansion

Yrityksen laajentuessa kansainvälisesti, olemassa olevat rutiinit jäävät vanhoiksi ja liiketoimintaprosessien johtaminen muuttuu. Kyseisten prosessien täytyy olla läpinäkyviä ja tietovirtojen hyvin suunniteltuja. Prosessien harmonisointi aiheuttaa haasteita yrityksessä ja konsernin etu tulee ottaa huomioon. Ahlstrom konserni laajentuu merkittävästi kaikilla liiketoiminta-alueillaan ja kansainvälinen laajentuminen vie Ahlstrom Glassfibre Oy:n täysin uuteen tilanteeseen. Liiketoimintaprosessien johtamiseen vaikuttavat konsernin ohjaus, mahdollisuudet muutosten implementoimiseksi, toimintaympäristön tekijät ja järjestelmien muodostama arkkitehtuuri. Tässä tutkimuksessa keskitytään ydinprosessien tietovirtoihin ja työ on tehty Karhulan tehtaalla Suomessa. Johtamismallin luomiseksi vaaditaan yrityksessä ongelmia määrittelevää työskentelyä. Tämä ongelmanmääritys oli työn tärkein tavoite. Ongelma-alueiden tutkimuksen pohjalta muodostettiin ratkaisu, jossa käsiteltiin systemaattisen liiketoimintaprosessien johtamisen mahdollisuuksia ja vaatimuksia. Lopputuloksena voidaan todeta, että suurin painopiste löytyy informaatioteknologian ja liiketoiminnan rajapinnoista. Tähän työhön liittyvät myös prossien harmonisointi ja integrointi.