Differential role of naïve and memory CD4 T-cell subsets in primary alloresponses.

The T cell response to major histocompatibility complex (MHC) alloantigens occurs via two main pathways. The direct pathway involves the recognition of intact allogeneic MHC:peptide complexes on donor cells and provokes uniquely high frequencies of responsive T cells. The indirect response results from alloantigens being processed like any other protein antigen and presented as peptide by autologous antigen-presenting cells. The frequencies of T cells with indirect allospecificity are orders of magnitude lower and comparable to other peptide-specific responses. In this study, we explored the contributions of naïve and memory CD4(+) T cells to these two pathways. Using an adoptive transfer and skin transplantation model we found that naive and memory CD4(+) T cells, both naturally occurring and induced by sensitization with multiple third-party alloantigens, contributed equally to graft rejection when only the direct pathway was operative. In contrast, the indirect response was predominantly mediated by the naïve subset. Elimination of regulatory CD4(+)CD25(+) T cells enabled memory cells to reject grafts through the indirect pathway, but at a much slower tempo than for naïve cells. These findings have implications for better targeting of immunosuppression to inhibit immediate and later forms of alloimmunity.

Differentiation associated regulation of microRNA expression in vivo in human CD8+ T cell subsets.

BACKGROUND: The differentiation of CD8+ T lymphocytes following priming of naïve cells is central in the establishment of the adaptive immune response. Yet, the molecular events underlying this process are not fully understood. MicroRNAs have been recently shown to play a key role in the regulation of haematopoiesis in mouse, but their implication in peripheral lymphocyte differentiation in humans remains largely unknown. METHODS: In order to explore the potential implication of microRNAs in CD8+ T cell differentiation in humans, microRNA expression profiles were analysed using microarrays and quantitative PCR in several human CD8+ T cell subsets defining the major steps of the T cell differentiation pathway. RESULTS: We found expression of a limited set of microRNAs, including the miR-17~92 cluster. Moreover, we reveal the existence of differentiation-associated regulation of specific microRNAs. When compared to naive cells, miR-21 and miR-155 were indeed found upregulated upon differentiation to effector cells, while expression of the miR-17~92 cluster tended to concomitantly decrease. CONCLUSIONS: This study establishes for the first time in a large panel of individuals the existence of differentiation associated regulation of microRNA expression in human CD8+ T lymphocytes in vivo, which is likely to impact on specific cellular functions.

Sensitive gene expression profiling of human T cell subsets reveals parallel post-thymic differentiation for CD4+ and CD8+ lineages.

The differentiation of CD4(+) or CD8(+) T cells following priming of naive cells is central in the establishment of the immune response against pathogens or tumors. However, our understanding of this complex process and the significance of the multiple subsets of differentiation remains controversial. Gene expression profiling has opened new directions of investigation in immunobiology. Nonetheless, the need for substantial amount of biological material often limits its application range. In this study, we have developed procedures to perform microarray analysis on amplified cDNA from low numbers of cells, including primary T lymphocytes, and applied this technology to the study of CD4 and CD8 lineage differentiation. Gene expression profiling was performed on samples of 1000 cells from 10 different subpopulations, defining the major stages of post-thymic CD4(+) or CD8(+) T cell differentiation. Surprisingly, our data revealed that while CD4(+) and CD8(+) T cell gene expression programs diverge at early stages of differentiation, they become increasingly similar as cells reach a late differentiation stage. This suggests that functional heterogeneity between Ag experienced CD4(+) and CD8(+) T cells is more likely to be located early during post-thymic differentiation, and that late stages of differentiation may represent a common end in the development of T-lymphocytes.

Inequality measurement for ordered response health data

When health status is an ordered response variable, Allison and Foster (2004)postulate that a distribution Q exhibits more inequality than a distribution P if Q is obtained from P via a sequence of median preserving spreads. This paper introduces a parametric family of inequality indices which are founded on the Allison and Foster ordering. [Authors]

Expectation to improve cardiovascular risk factors control in participants to a health promotion program.

BACKGROUND: We assessed expectations to improve cardiovascular disease risk factors (CVD-RF) in participants to a health promotion program. PARTICIPANTS AND METHODS: Blood pressure (BP), blood glucose (BG), blood total cholesterol (TC), body mass index (BMI), and self-reported smoking were assessed in 1,598 volunteers from the general public (men: 40%; mean age: 56.7 +/- 12.7 years) participating in a mobile health promotion program in the Vaud canton, Switzerland. Participants were asked about their expectation to have their CVD-RF improved at a next visit scheduled 2-3 years later. RESULTS: Expectation for improved control was found in 90% of participants with elevated BP, 91% with elevated BG, 45% with elevated TC, 44% who were overweight, and 35% who were smoking. Expectation for TC improvement was reported more often by men, persons with high level of TC, and persons who had consulted a doctor in the past 12 months. Expectations to lose weight and to quit smoking were found more often in younger persons than the older ones. CONCLUSION: Volunteers from the general population participating in a health promotion program expected improved control more often for hypertension and dysglycemia than for dyslipidemia, overweight and smoking.

Telomere fluorescence measurements in granulocytes and T lymphocyte subsets point to a high turnover of hematopoietic stem cells and memory T cells in early childhood.

To study telomere length dynamics in hematopoietic cells with age, we analyzed the average length of telomere repeat sequences in diverse populations of nucleated blood cells. More than 500 individuals ranging in age from 0 to 90 yr, including 36 pairs of monozygous and dizygotic twins, were analyzed using quantitative fluorescence in situ hybridization and flow cytometry. Granulocytes and naive T cells showed a parallel biphasic decline in telomere length with age that most likely reflected accumulated cell divisions in the common precursors of both cell types: hematopoietic stem cells. Telomere loss was very rapid in the first year, and continued for more than eight decades at a 30-fold lower rate. Memory T cells also showed an initial rapid decline in telomere length with age. However, in contrast to naive T cells, this decline continued for several years, and in older individuals lymphocytes typically had shorter telomeres than did granulocytes. Our findings point to a dramatic decline in stem cell turnover in early childhood and support the notion that cell divisions in hematopoietic stem cells and T cells result in loss of telomeric DNA.

Ex vivo characterization of human CD8+ T subsets with distinct replicative history and partial effector functions.

After antigenic challenge, naive T lymphocytes enter a program of proliferation and differentiation during the course of which they acquire effector functions and may ultimately become memory cells. In humans, the pathways of effector and memory T-cell differentiation remain poorly defined. Here we describe the properties of 2 CD8+ T-lymphocyte subsets, RA+CCR7-27+28+ and RA+CCR7-27+28-, in human peripheral blood. These cells display phenotypic and functional features that are intermediate between naive and effector T cells. Like naive T lymphocytes, both subsets show relatively long telomeres. However, unlike the naive population, these T cells exhibit reduced levels of T-cell receptor excision circles (TRECs), indicating they have undergone additional rounds of in vivo cell division. Furthermore, we show that they also share effector-type properties. At equivalent in vivo replicative history, the 2 subsets express high levels of Fas/CD95 and CD11a, as well as increasing levels of effector mediators such as granzyme B, perforin, interferon gamma, and tumor necrosis factor alpha. Both display partial ex vivo cytolytic activity and can be found among cytomegalovirus-specific cytolytic T cells. Taken together, our data point to the presence of T cells with intermediate effector-like functions and suggest that these subsets consist of T lymphocytes that are evolving toward a more differentiated effector or effector-memory stage.

Inequality measurement for ordered response health data

Because self-reported health status [SRHS] is an ordered response variable, inequality measurement for SRHS data requires a numerical scale for converting individual responses into a summary statistic. The choice of scale is however problematic, since small variations in the numerical scale may reverse the ordering of a given pair of distributions of SRHS data in relation to conventional inequality indices such as the variance. This paper introduces a parametric family of inequality indices, founded on an inequality ordering proposed by Allison and Foster [Allison, R.A., Foster, J., 2004. Measuring health inequalities using qualitative data. Journal of Health Economics 23, 505-524], which satisfy a suitable invariance property with respect to the choice of numerical scale. Several key members of the parametric family are also derived, and an empirical application using data from the Swiss Health Survey illustrates the proposed methodology. [Authors]

Characterising the role of T-cell subsets in experimental allograft rejection and transplantation tolerance

SUMMARY : The recognition by recipient T cells of the allograft major histocompatibility complex (MHC)mismatched antigens is the primary event that ultimately leads to rejection. In the transplantation setting, circulating alloreactive CD4+ T cells play a central role in the initiation and the coordination of the immune response and can initiate the rejection of an allograft via three distinct pathways: the direct, indirect and the recently described semi-direct pathway. However, the exact role of individual CD4+ T-cell subsets in the development of allograft rejection is not clearly defined. Furthermore, besides pathogenic effector T cells, a new subset of T cells with regulatory properties, the CD4+CD25+Foxp3+ (Treg) cells, has come under increased scrutiny over the last decade. The experiments presented in this thesis were designed to better define the phenotype and functional characteristics of CD4+ T-cell subsets and Treg cells in vitro and in vivo in a marine adoptive transfer and skin transplantation model. As Treg cells play a key role in the induction and maintenance of peripheral transplantation tolerance, we have explored whether donor-antigen specific Treg cells could be expanded in vitro. Here we describe a robust protocol for the ex-vivo generation and expansion of antigen-specific Treg cells, without loss of their characteristic phenotype and suppressive function. In our in vivo transplantation model, antigen-specific Treg cells induced donor-specific tolerance to skin allografts in lymphopenic recipients and significantly delayed skin graft rejection in wild-type mice in the absence of any other immunosuppression. Naïve and memory CD4+ T cells have distinct phenotypes, effector functions and in vivo homeostatsis, and thus may play different roles in anti-donor immunity after transplantation. We have analyzed in vitro and in vivo primary alloresponses of naïve and cross-reactive memory CD4+ T cells. We found that the CD4+CD45RBlo memory T-cell pool was heterogeneous and contained cells with regulatory potentials, both in the CD4+CD25+ and CD4+CD25- populations. CD4+ T cells capable of inducing strong primary alloreactive responses in vitro and rejection of a first allograft in vivo were mainly contained within the CD45RBhi naïve CD4+ T-cell compartment. Taken together, the work described in this thesis provides new insights into the mechanisms that drive allograft rejection or donor-specific transplantation tolerance. These results will help to optimise current clinical immunosuppressive regimens used after solid organ transplantation and design new immunotherapeutic strategies to prevent transplant rejection. RÉSUMÉ : ROLE DES SOUS-POPULATIONS DE CELLULES T DANS LE REJET DE GREFFE ET L'INDUCTION DE TOLERANCE EN TRANSPLANTATION La reconnaissance par les cellules T du receveur des alloantigènes du complexe majeur d'histocompatibilité (CMIT) présentés par une greffe allogénique, est le premier événement qui aboutira au rejet de l'organe greffé. Dans le contexte d'une transplantation, les cellules alloréactives T CD4+ circulantes jouent un rôle central dans l'initiation et la coordination de 1a réponse immune, et peuvent initier le rejet par 3 voies distinctes : la voie directe, indirecte et la voie servi-directe, plus récemment décrite. Toutefois, le rôle exact des sous-populations de cellules T CD4+ dans les différentes étapes menant au rejet d'une allogreffe n'est pas clairement établi. Par ailleurs, hormis les cellules T effectrices pathogéniques, une sous-population de cellules T ayant des propriétés régulatrices, les cellules T CD4+CD25+Foxp3+ (Treg), a été nouvellement décrite et est intensément étudiée depuis environ dix ans. Les expériences présentées dans cette thèse ont été planifiées afin de mieux définir le phénotype et les caractéristiques fonctionnels des sous-populations de cellules T CD4+ et des Treg in vitro et in vivo dans un modèle marin de transfert adoptif de cellules et de transplantation de peau. Comme les cellules Treg jouent un rôle clé dans l'induction et le maintien de la tolérance périphérique en transplantation, nous avons investigué la possibilité de multiplier in vitro des cellules Treg avec spécificité antigénique pour le donneur. Nous décrivons ici un protocole reproductible pour la génération et l'expansion ex-vivo de cellules Treg avec spécificité antigénique, sans perte de leur phénotype caractéristique et de leur fonction suppressive. Dans notre modèle in vivo de transplantation de peau, ces cellules Treg pouvaient induire une tolérance spécifique vis-à-vis du donneur chez des souris lymphopéniques, et, chez des souris normales non-lymphopéniques ces Treg ont permis de retarder significativement le rejet en l'absence de tout traitement immunosuppresseur. Les cellules T CD4+ naïves et mémoires se distinguent par leur phénotype, fonction effectrice et leur homéostasie in vivo, et peuvent donc moduler différemment la réponse immune contre le donneur après transplantation. Nous avons analysé in vitro et in vivo les réponses allogéniques primaires de cellules T CD4+ naïves et mémoires non-spécifiques (cross-réactives). Nos résultats ont montré que le pool de cellules T CD4+CD45RB'° mémoires était hétérogène et contenait des cellules avec un potentiel régulateur, aussi bien parmi la sous-population de cellules CD4+CD25+ que CD4+CD25+. Les cellules T CD4+ capables d'induire une alloréponse primaire intense in vitro et le rejet d'une première allogreffe in vivo étaient essentiellement contenues dans le pool de cellules T CD4+CD45RBhi naïves. En conclusion, le travail décrit dans cette thèse amène un nouvel éclairage sur les mécanismes responsables du rejet d'une allogreffe ou de l'induction de tolérance en transplantation. Ces résultats permettront d'optimaliser les traitements immunosuppresseurs utilisés en transplantation clinique et de concevoir des nouvelles stratégies irnmuno-thérapeutiques pour prévenir le rejet de greffe allogénique.

COMPASS identifies T-cell subsets correlated with clinical outcomes.

Advances in flow cytometry and other single-cell technologies have enabled high-dimensional, high-throughput measurements of individual cells as well as the interrogation of cell population heterogeneity. However, in many instances, computational tools to analyze the wealth of data generated by these technologies are lacking. Here, we present a computational framework for unbiased combinatorial polyfunctionality analysis of antigen-specific T-cell subsets (COMPASS). COMPASS uses a Bayesian hierarchical framework to model all observed cell subsets and select those most likely to have antigen-specific responses. Cell-subset responses are quantified by posterior probabilities, and human subject-level responses are quantified by two summary statistics that describe the quality of an individual's polyfunctional response and can be correlated directly with clinical outcome. Using three clinical data sets of cytokine production, we demonstrate how COMPASS improves characterization of antigen-specific T cells and reveals cellular 'correlates of protection/immunity' in the RV144 HIV vaccine efficacy trial that are missed by other methods. COMPASS is available as open-source software.

Restriction site-associated DNA sequencing, genotyping error estimation and de novo assembly optimization for population genetic inference.

Restriction site-associated DNA sequencing (RADseq) provides researchers with the ability to record genetic polymorphism across thousands of loci for nonmodel organisms, potentially revolutionizing the field of molecular ecology. However, as with other genotyping methods, RADseq is prone to a number of sources of error that may have consequential effects for population genetic inferences, and these have received only limited attention in terms of the estimation and reporting of genotyping error rates. Here we use individual sample replicates, under the expectation of identical genotypes, to quantify genotyping error in the absence of a reference genome. We then use sample replicates to (i) optimize de novo assembly parameters within the program Stacks, by minimizing error and maximizing the retrieval of informative loci; and (ii) quantify error rates for loci, alleles and single-nucleotide polymorphisms. As an empirical example, we use a double-digest RAD data set of a nonmodel plant species, Berberis alpina, collected from high-altitude mountains in Mexico.

The role of Notch in the differentiation of CD4⁺ T helper cells.

CD4⁺ T helper cells are playing critical roles in host defense to pathogens and in the maintenance of immune homeostasis. Naïve CD4⁺T cells, upon antigen-specific recognition, receive signals to differentiate into distinct effector T helper cell subsets characterized by their pattern of cytokine production and specific immune functions. A tight balance between these different subsets ensures proper control of the immune response. There is increasing evidence revealing an important role for Notch signaling in the regulation of CD4⁺T helper cell differentiation or function in the periphery. However, the exact mechanisms involved remain unclear and appear contradictory. In this review, we summarize current knowledge and discuss recent advances in the field to reconcile different views on the role of Notch signaling in the differentiation of functional T helper subsets.

Three essays on the psychology of investment and financial markets

Préface My thesis consists of three essays where I consider equilibrium asset prices and investment strategies when the market is likely to experience crashes and possibly sharp windfalls. Although each part is written as an independent and self contained article, the papers share a common behavioral approach in representing investors preferences regarding to extremal returns. Investors utility is defined over their relative performance rather than over their final wealth position, a method first proposed by Markowitz (1952b) and by Kahneman and Tversky (1979), that I extend to incorporate preferences over extremal outcomes. With the failure of the traditional expected utility models in reproducing the observed stylized features of financial markets, the Prospect theory of Kahneman and Tversky (1979) offered the first significant alternative to the expected utility paradigm by considering that people focus on gains and losses rather than on final positions. Under this setting, Barberis, Huang, and Santos (2000) and McQueen and Vorkink (2004) were able to build a representative agent optimization model which solution reproduced some of the observed risk premium and excess volatility. The research in behavioral finance is relatively new and its potential still to explore. The three essays composing my thesis propose to use and extend this setting to study investors behavior and investment strategies in a market where crashes and sharp windfalls are likely to occur. In the first paper, the preferences of a representative agent, relative to time varying positive and negative extremal thresholds are modelled and estimated. A new utility function that conciliates between expected utility maximization and tail-related performance measures is proposed. The model estimation shows that the representative agent preferences reveals a significant level of crash aversion and lottery-pursuit. Assuming a single risky asset economy the proposed specification is able to reproduce some of the distributional features exhibited by financial return series. The second part proposes and illustrates a preference-based asset allocation model taking into account investors crash aversion. Using the skewed t distribution, optimal allocations are characterized as a resulting tradeoff between the distribution four moments. The specification highlights the preference for odd moments and the aversion for even moments. Qualitatively, optimal portfolios are analyzed in terms of firm characteristics and in a setting that reflects real-time asset allocation, a systematic over-performance is obtained compared to the aggregate stock market. Finally, in my third article, dynamic option-based investment strategies are derived and illustrated for investors presenting downside loss aversion. The problem is solved in closed form when the stock market exhibits stochastic volatility and jumps. The specification of downside loss averse utility functions allows corresponding terminal wealth profiles to be expressed as options on the stochastic discount factor contingent on the loss aversion level. Therefore dynamic strategies reduce to the replicating portfolio using exchange traded and well selected options, and the risky stock.