O linfoma difuso de grandes células B (LDGCB) é o subtipo de linfoma mais comum em países em desenvolvimento. Entretanto, apesar de sua prevalência e importância, ainda existem poucas publicações com dados epidemiológicos para a população brasileira. Conhecer os fatores de prognóstico é imperativo para identificar os pacientes que responderão melhor ao tratamento, além de permitir sua individualização terapêutica. Alguns estudos demonstraram que pacientes com o mesmo Índice Internacional de Prognóstico (IPI) podem apresentar diferentes sobrevidas, justificando a necessidade de identificar novos marcadores biológicos de prognóstico. O objetivo deste estudo foi avaliar o impacto prognóstico da expressão dos genes BCL2, MDR1 e OCT1, de suas respectivas proteínas e da translocação t(14;18), nos desfechos de resposta completa (RC), sobrevida global (SG), sobrevida livre de doença (SLD) e sobrevida livre de progressão (SLP) em pacientes com LDGCB. Foram avaliados de forma retrospectiva 98 pacientes com LDGCB de novo tratados com R-CHOP. A expressão gênica foi avaliada por PCR em Tempo Real com RNA extraído de amostras parafinadas. A expressão proteica foi avaliada pelo método de imuno-histoquímica. A mediana de idade foi de 54,5 anos e 49 pacientes (50%) eram do sexo masculino. Sessenta e quatro pacientes (85,3%) obtiveram RC, com uma mediana de acompanhamento de 2,66 anos. A expressão mediana de BCL2, MDR1 e OCT1 foi 6,27; 0 e 24,49, respectivamente. Não encontramos impacto prognóstico da expressão do gene BCL2 na RC (p=0,277), SG (p=0,068) e SLD (p=0,860). Porém, a expressão de BCL2 >= à mediana associou-se à menor SLP (p=0,040). Encontramos associação entre expressão do gene OCT1 >= à mediana e pior prognóstico para SG (p=0,010) e SLP (p=0,016). Porém, não observamos impacto prognóstico da expressão de OCT1 para RC (p=0,464) e SLD (p=0,717). Não houve associação entre expressão do gene MDR1 e das proteínas BCL-2, Pg-p e OCT-1 com o prognóstico dos pacientes em relação à RC, SG, SLD e SLP. O número de sítios extralinfonodais (p=0,004 e p=0,005), estádio clínico (p < 0,001 para ambas), IPI (p < 0,001 para ambas) e nível de DHL (p=0,010 e p=0,008) apresentaram impacto prognóstico na SG e SLP, respectivamente. Quando os pacientes foram estratificados pelo estádio, IPI e idade, o grupo com expressão de OCT1 >= à mediana e IPI intermediário-alto ou alto risco apresentou pior SG (p=0,048) e o grupo com idade >= 60 anos e expressão de OCT1 >= à mediana apresentou pior prognóstico para SG e SLP (p=0,025 para ambas). Em conclusão, a expressão de MDR1 não apresentou impacto no prognóstico de portadores de LDGCB, porém, a expressão do gene BCL2 >= à mediana foi associada a menor SLP. Além disso, a hiperexpressão de OCT1 apresentou valor preditivo de prognóstico para a SG e SLP em pacientes com LDGCB tratados com R-CHOP / The diffuse large B-cell lymphoma (DLBCL) is the most common lymphoma subtype in developing countries. However, despite its prevalence and importance, there are still few publications showing the epidemiological data of the Brazilian population. Knowing the prognostic factors is imperative to identify patients supposed to better respond to treatment, as well as to allow their therapeutic individualization. Some studies have shown that patients with the same International Prognostic Index (IPI) may present different survival rates, thus justifying the need to identify new prognosis biomarkers. The aim of this study was to assess the prognostic impact of the genes BCL2, MDR1 and OCT1 and their respective proteins and t (14; 18) translocation on the complete response (CR), overall survival (OS), disease-free survival (DFS) and progression-free survival (PFS) of patients with DLBCL. We retrospectively assessed 98 patients with de novo DLBCL treated with R-CHOP. The gene expression was assessed through real-time PCR using RNA extracted from paraffin samples. The protein expression was assessed through the immunohistochemistry method. The median age was 54.5 years; 49 patients (50%) were men. Sixty-four patients (85.3%) had CR and median follow-up 2.66 years. The median expression of BCL2, MDR1 and OCT1 was 6.27; 0 and 24.49, respectively. We did not find the prognostic impact of the BCL2 gene expression on CR (p = 0.277), OS (p = 0.068) and on DFS (p = 0.860). However, the expression of BCL2 >= the median was associated with the lower PFS (p = 0.040). We found association between OCT1 gene expression >= the median and worse prognosis for OS (p = 0.010) and PFS (p = 0.016). However, we did not find the prognostic impact of OCT1 expression on CR (p = 0.464) and DFS (p = 0.717). There was no association between the MDR1 gene expression and the BCL-2, Pg-p and OCT-1 proteins, and the patients\' prognosis regarding CR, OS, DFS and PFS. The number of extranodal sites (p = 0.004 and p = 0.005), the clinical status (p <0.001 for both), the IPI (p < 0.001 for both) and DHL levels (p = 0.010 and p = 0.008) presented PFS, respectively. When the patients were stratified by stage, IPI and age, the group with OCT1 expression at the median and intermediate-to-high or high-risk IPI had worse OS results (p = 0.048) and the patients in the age group >= 60 years and expression of OCT1 >= the median presented worse prognosis for OS and PFS (p = 0.025 for both). Therefore, the MDR1 expression had no impact on the prognosis of DLBCL carriers. However, the expression of the BCL2 gene >= the median was associated with lower PFS. In addition, the OCT1 hyperexpression presented a predictive prognosis value for OS and PFS in patients with DLBCL treated with R-CHOP

INTRODUÇÃO: O linfoma difuso de grandes células B, sem outras especificaçoes (LDGCB, SOE) é uma neoplasia agressiva caracterizada pela heterogeneidade morfológica, imunofenotípica e molecular, porém o atual tratamento padrão utilizando imunoquimioterapia (R-CHOP) não considera tal diversidade. Há percentual significativo de pacientes que são refratários à terapia de primeira linha e alguns que apresentam recidiva precoce ou tardia, os quais representam as vítimas desta doença. O estudo imuno-histoquímico (IHQ), que é um método simples e universalmente disponível, vem sendo utilizado para reconhecer a diversidade biológica do LDGCB, SOE, identificando biomarcadores e subgrupos distintos da doença, que poderiam predizer a resposta terapêutica ao tratamento padrão e apontar possíveis candidatos a novas estratégias terapêuticas. OBJETIVOS: Este estudo avalia o valor prognóstico de cinco algoritmos para classificação do LDGCB segundo a célula de origem (COO) e da expressão de três biomarcadores (BCL2, CD30 e MYC) tendo como endpoint a sobrevida global. MÉTODOS: Foi realizado estudo retrospectivo com setenta e nove pacientes com LDGCB,SOE de novo tratados com imunoquimioterapia padrão, estadiados e acompanhados protocolarmente. Os casos foram classificados como subgrupo célula B centrogerminativa símile (GCB) ou como subgrupo célula B não-centrogerminativa símile (NGCB), de acordo com três algoritmos IHQ (Hans, Choi, e Visco-Young) pareados com estudo do perfil de expressão gênica (PEG) e dois algoritmos IHQ não-PEG pareados (Muris e Nyman). Foi estimado o valor prognóstico destes algoritmos e também avaliado a concordância entre eles. O valor prognóstico da expressão do BCL2, CD30 e MYC utilizando IHQ também foi analisado. RESULTADOS: Os algoritmos IHQ PEG pareados revelaram maior concordância entre si, porém nenhum deles revelou força prognóstica. A expressão do CD30 mostrou tendência a melhor prognóstico, porém a expressão de BCL2 e MYC avaliados isoladamente não revelaram impacto prognóstico. Contudo, a coexpressão do BCL2 e MYC, denominado como fenótipo linfoma duplo-expressor (LDE), revelou-se importante marcador prognóstico desfavorável. Foram identificados três subgrupos de risco baseado no fenótipo LDE e o Índice Prognóstico Internacional (IPI). CONCLUSÃO: Em pacientes com LDGCB, SOE de novo tratados com esquema terapêutico padrão, a pesquisa da expressão do fenótipo LDE é mais relevante do ponto vista prognóstico que a classificação em subgrupo GCB ou NGCB. Além disso, a expressão do CD30 pode ser relevante tanto para identificar subgrupo com tendência a melhor prognóstico como para identificar possíveis candidatos a nova terapia alvo / BACKGROUND: Diffuse large B-cell lymphoma, not otherwise specified (DLBCL, NOS) is an aggressive neoplasm characterized by morphological, phenotypic and molecular heterogeneity, but the current standard therapy using immunochemotherapy (R-CHOP) does not consider such diversity. There is a significant percentage of patients who are refractory to first-line therapy and those with early or late recurrence, whose represent the victims of this disease. Immunohistochemistry (IHC), a simple and universally available method, has been used to recognize the biological diversity of DLBCL, NOS, to identify biomarkers and distinct subgroups of the disease, which would predict the therapeutic response to standard treatment and point possible candidates for novel therapeutic strategies. OBJECTIVES: The current study was conducted to evaluate the prognostic value from five algorithms for classification of DLBCL based on cell of origin (COO) and the expression of three biomarkers (BCL2, CD30 and MYC) with overall survival (OS) as an endpoint. METHODS: We retrospectively evaluated seventy nine patients with de novo DLBCL, NOS treated with R-CHOP-like immunochemotherapy. The cases were assigned as germinal center B-cell like (GCB) or non-GCB subgroup (NGCB) according to five different IHC algorithms, including three algorithms based on gene expressing profile study (GEP), proposed by Hans, Choi, and Visco-Young, and two non-GEP based algoritms proposed by Muris, and Nyman. We evaluated their prognostic relevance and the concordance between these algorithms. The prognostic power of BCL2, CD30 and MYC expression were also assessed by IHC. RESULTS: None of the profiles assessed by IHC algorithms was able to predict overall survival (OS). The positive expression of CD30 showed a trend toward a better outcome. Neither the positive expression of BCL2 nor the positive expression of MYC were associated with outcome. However, the double-expressor lymphoma phenotype (DEL), represented by the concurrent expression of MYC and BCL2, exhibited a negative prognostic impact. Three different risk subgroups were identified based on the DEL phenotype and the International Prognostic Index (IPI) score. CONCLUSIONS: These data suggest that the DEL, rather than the cell of origin classification based on IHC, is a better predictor of OS in patients with DLBCL treated with R-CHOP-like immunochemotherapy. Besides, the CD30 expression may be a useful prognostic marker and a possible therapeutic target

En France, les hémopathies lymphoïdes, se situant au sixième rang des cancers les plus fréquents, sontun problème majeur de santé publique. Ce travail a pour objectif d’étudier l’impact de la prise en charge thérapeutiquesur la survie et sur la qualité de vie (QdV) des patients atteints de ce type d’hémopathies. Le premierobjectif de ce travail est un état des lieux de l’épidémiologie des hémopathies lymphoïdes avec l’étudede l’évolution de l’incidence et de la survie nette en Côte d’Or entre 1980 et 2009. L’incidence, en nette augmentationdepuis 1980, semble se stabiliser depuis les années 2000 pour certaines entités, notamment pourles lymphomes folliculaires (LF) et les lymphomes B diffus à grandes cellules (LBDGC). Nous observons globalementune amélioration de la survie nette avec, toutefois, un pronostic à court et à long terme qui restedéfavorable pour certaines entités. Les LF et les LBDGC sont les premiers lymphomes à bénéficier de l’introductiondes anticorps monoclonaux dans leur prise en charge thérapeutique. Notre deuxième étude a pourobjectif demesurer l’impact du rituximab sur la survie globale des patients atteints d’un LF ou d’un LBDGC enCôte d’Or en utilisant une méthodologie basée sur le score de propension. Nos résultats confirment le bénéficesignificatif du rituximab sur la survie globale en population générale, sans critère de sélection. En vue de cesrésultats, nous avons étudié la QdV de ces patients pendant et à la suite de la prise en charge thérapeutique. LaQdV évolue différemment au cours du suivi en fonction du type de lymphome. / In France, hematologic malignancies, which are the sixthmost common cancers, are amajor public healthproblem. This work aimed to study the impact of the therapeutic management on survival and healt-relatedquality of life (HRQoL) in patients with these hematologic malignancies. The first objective of this work is topresent an overview of the epidemiology of lymphoid malignancies with a study of changes in the incidenceand net survival in the Côte d’Or department between 1980 and 2009. The incidence, which has increased since1980, seems to have stabilized since the 2000s for some entities, including follicular lymphoma (FL) and diffuselarge B-cell lymphoma (DLBCL). Overall, we observed an improvement in net survival, with, however, a lessfavorable prognosis in the short and long-term for some entities. FL and DLBCL were the first lymphomas tobenefit from the introduction of monoclonal antibodies in their therapeutic management. Our second studyaimed to assess the impact of rituximab on overall survival in patients with FL or DLBCL in the Côte d’Or departmentusing a methodology based on the propensity score. Our results confirmed the significant benefit ofrituximab on overall survival in an unselected population of patients. In view of these results, we studied theHRQoL of these patients during and after treatment. HRQoL evolved differently during follow-up dependingon the type of lymphoma.

No description available.

Background: Sphingosine 1-phosphat receptor modulators (S1PRMs) have been linked to attenuated immune response to SARS-CoV-2 vaccines. Objective: To characterize differences in the immune response to SARS-CoV-2 vaccines in patients on selective versus unselective S1PRMs. Methods: Monocentric, longitudinal study on people with multiple sclerosis (pwMS) on fingolimod (FTY), siponimod (SIP), ozanimod (OZA), or without disease-modifying therapy (DMT) following primary and booster SARS-CoV-2 vaccination. Anti-SARS-CoV-2 antibodies and T-cell response was measured with electro-chemiluminescent immunoassay and interferon-γ release assay. Results: Primary vaccination induced a significant antibody response in pwMS without DMT while S1PRM patients exhibited reduced antibody titers. The lowest antibodies were found in patients on FTY, whereas patients on OZA and SIP presented significantly higher levels. Booster vaccinations induced increased antibody levels in untreated patients and comparable titers in patients on OZA and SIP, but no increase in FTY-treated patients. While untreated pwMS developed a T-cell response, patients on S1PRMs presented a diminished/absent response. Patients undergoing SARS-CoV-2 vaccination before onset of S1PRMs presented a preserved, although attenuated humoral response, while T-cellular response was blunted. Conclusion: Our data confirm differential effects of selective versus unselective S1PRMs on T- and B-cell response to SARS-CoV-2 vaccination and suggest association with S1PRM selectivity rather than lymphocyte redistribution.

Das in der vorliegenden Arbeit vorgestellte Verfahren der nicht-radioaktiven Southern Blot Hybridisierung unter Verwendung einer Digoxigenin Markierung hat sich für die Darstellung von Rekombinationen im TEL-Genlokus genomischer DNA als sensitive Vergleichsmethode bewiesen. Es wurden insgesamt 122 Kinder mit dieser Methode auf das Vorliegen der Translokation t(12;21) untersucht. Bei einer nur relevante Faktoren berücksichtigenden Beschränkung des PatientInnenkollektivs auf protokollgerecht nach ALL-REZ BFM behandelte B-Vorläufer-Zell-ALL und Erstrezidive konnte eine Rekombination von TEL in 5 von 65 PatientInnen (7,7%) nachgewiesen werden. Lässt man die Einschlusskriterien der ALL-REZ BFM Studie unberücksichtigt, handelt es sich sogar um 7 von 71 (9,9%) PatientInnen. Damit bestätigen die hier vorliegenden Ergebnisse den Trend der aktuellen Diskussion über die Häufigkeit des Vorliegens des Fusionsgenes TEL-AML1 bei Erstrezidiven, die eine kumulative Inzidenz bei einem 10-jährigen Untersuchungszeitraum von 9 ± 5% angeben. Weiterhin konnte mit ereignisfreien Beobachtungszeiträumen nach dem 1. Rezidiv im Median von 8,6 Jahren ein Trend zu späten Rezidiven und somit eine mittelfristig günstige Prognose für die TEL-Rearrangement positiven Rezidivfälle konstatiert werden. Zusammenfassend kann gesagt werden, dass TEL-AML1 positive PatientInnen eine Subgruppe darstellen, die lange erkrankungsfreie Intervalle mit zur Zeit üblichen Therapieprotokollen erreichen, nach Therapie der Ersterkrankung aber auch nach dem ersten Rezidiv. Auf Grund der sich aus dem retrospektiven PatientInnekollektiv ergebenen Selektion war es nicht möglich, statistisch signifikante Aussagen zur unabhängigen prognostischen Bedeutung für die langfristige Prognose von ALL im Kindesalter mit TEL-Rekombinationen zu treffen. / The presence of TEL/AML1 fusion gene in childhood acute lymphoblastic leukaemia (ALL) defines a subgroup of patients with better than average outcome. Around 20% of the patient at point of initial ALL diagnosis are characterised by this fusion transcript from translocation t(12;21)(p12;q22). However, the prognostic significance of this aberration has recently been disputed by the Berlin-Frankfurt-Munster (BFM) study group due to its relatively high incidence found in relapsed patients (19.6% and 21.9%, in two cohorts). Here we wanted to get more data in a long term follow up retrospect investigation by analysing DNA from frozen conserved bone marrow samples of 65 children. In the study presented here only five out of 65 (7.7%) patients selected as childhood B cell precursor acute lymphoblastic leukaemia only treated according to Berlin-Frankfurt-Munster (BFM) ALL relapse trial protocols (ALL-REZ BFM 82-96) (excluding T-lineage and Philadelphia chromosome (Ph)-positive leukaemia) carry this fusion. The detection was done due to a new developed non-radioactive Southern blotting with a Digoxigenin marked template. We could confirm the still good middle term prognosis in the relapsed TEL-AML1 positive subgroup. The TEL-AML1-positive and negative patients differed with respect to duration of last remission and age at initial diagnosis. At a median follow-up time of 8.6 years, children positive for TEL-AML1 had a higher probability of disease-free survival. Because of the small number of patients in this study it was not possible to get statistical significant facts about the independent prognostic impact for the long term prognosis of ALL in childhood with TEL rearrangement.

Obwohl B-Zellen in der Pathogenese der Rheumatoide Arthritis (RA) eine wichtige Rolle spielen, ist über ihre Aktivierung und Differenzierung im Synovialgewebe (SG) nicht viel bekannt. Ein Merkmal von RA ist das Auftreten von Autoantikörpern (auto-AK). Trotz dessen sind bisher kaum Daten über den Einfluss des SG auf die auto-AK-Produktion und die Frequenz autoreaktiver synovialer B-Zellen bekannt. Diese Arbeit beschäftigt sich mit der Charakterisierung der synovialen B-Zell-Antwort und der Spezifität synovialer B-Lymphozyten. Dazu wurden B- und Plasmazellen (PC) aus dem Synovialgewebe von RA-Patienten mittels Mikrodissektion und Durchflusszytometrie isoliert und ihr Immunglobulin(Ig)-Repertoire bestimmt. Die Analyse der VH-Gene zeigte, dass sowohl naive als auch Gedächtnis-B-Zellen in das SG einwandern können. Ein Vergleich der VDJ-Rearrangements aus B-Zellen und PC belegte, dass hauptsächlich Gedächtnis-B-Zellen Antigen-abhängig aktiviert werden, klonal expandieren und zu PC differenzieren. Dabei können aktivierte B-Zellen ihre Ig-Klasse wechseln. Im Gegensatz dazu wurden nur rudimentäre Anzeichen somatischer Hypermutation nachgewiesen. Um die Spezifität synovialer B-Lymphozyten zu ermitteln, wurden rekombinante AK aus synovialen B-Zellen und PC generiert. Der Polyreaktivitätstest zeigte, dass naive B-Zellen aus dem SG einen hohen Anteil polyreaktiver Zellen besitzen. Im Gegensatz dazu ist die Frequenz von autoreaktiven Gedächtnis-B-Zellen und PC gegenüber naiven B-Zellen erhöht. Daneben konnten auch spezifische AK gegen bakterielle Antigene (insbesondere gegen Parodontitis-auslösende Bakterien) und gegen das Auto-Ag MCV identifiziert werden. Eine Affinitätsmessung des MCV-spezifischen Auto-AK zeigte, dass im SG sezernierte Auto-AK eine sehr hohe Affinität erreichen können. Die hier gewonnenen Daten verdeutlichen, dass B-Lymphozyten entscheidend an der Aufrechterhaltung oder gar Entstehung von RA beteiligt sind / Although B cells have an important impact on the pathogenesis of Rheumatoid arthritis (RA) still surprisingly little is known about their activation and differentiation within the inflamed synovial tissue (ST). A hallmark of RA is the presence of auto-antibodies (auto-Ab). However, still little is known about the frequency of self reactive synovial lymphocytes and it is unclear to which extent the inflamed ST contributes to auto-Ab production. These thesis deals with the characterization of the synovial B cell response and the specificity of synovial B lymphocytes. B and plasma cells (PC) from RA patients were isolated either by Laser Capture Microdissection or by FACS and their immunoglobulin(Ig)-repertoire was determined. The analysis of the VH-genes revealed that both naïve and memory B cells can immigrate the ST. A comparison of VDJ-rearrangements of B cells and PC showed that in ST without ectopic germinal centres mainly memory B cells become activated, expand clonally and differentiate into PC. During this process B cells can switch their Ig-class but do only hypermutate slightly. To determine the specificity of synovial B lymphocytes, recombinant Ab from synovial B cells and PC were generated. The polyreactivity assay showed that particularly naïve B cells were polyreactive. In contrast, the frequency of autoreactive memory B cells and PC was much higher than that of naïve B cells. In addition, Ab specific for bacterial antigens (especially for periodontal bacterias) and for the autoantigen MCV were identified. The affinity measurement of the MCV-specific autoantibody revealed that auto-Ab secreted in the ST can exhibit very high affinities. The data presented here show that B cells seem to play an important role in the maintenance and possibly the development of RA.

Bei Autoimmunkrankheiten wie der Multiplen Sklerose (MS) kommt es zu einer fehlgesteuerten Immunantwort mit Aktivierung und Persistenz autoreaktiver T-Zellen. Apoptose-regulierende Mechanismen wie das CD95-Rezeptor/CD95-Ligand- und TRAIL-Rezeptor/TRAIL-System könnten dabei eine wichtige Rolle spielen. Die lösliche Form des CD95-Rezeptor (sCD95) kann an CD95L binden und so die Apoptose aktivierter T-Zellen verhindern. Die systemische Blockade von TRAIL führt zur Exazerbation von Autoimmunerkrankungen in Tierversuchen. In der vorliegenden Arbeit wurden deshalb die Expression, Regulation und Bedeutung sowohl von sCD95 als auch von löslichem TRAIL (sTRAIL) und membranständigem TRAIL bei gesunden Probanden und Patienten mit schubförmig remittierender MS (RRMS) untersucht. Zytokine wurden mit ELISAs, Zelloberflächenproteine sowie Apoptose im Durchflusszytometer gemessen. Die Untersuchungen mit magnetisch gereinigten humanen Leukozytensubpopulationen und Zelllinien zeigten, dass sCD95 lediglich von zelltyp-spezifisch aktivierten humanen T-Zellen, sezerniert wird. TRAIL wurde vor allem von Monozyten, die mit IFN-beta stimuliert waren, sezerniert und auf der Zelloberfläche exprimiert. Zellkulturüberstände, die sTRAIL enthielten, lösten Apoptose in suszeptiblen Tumorzellen aus. TRAIL führte zu einer signifikanten Inhibition der Proliferation und der Produktion von Th1- und Th2-spezifischen Zytokinen bei humanen (auto)antigenspezifischen T-Zellen. Weder für die sCD95- noch für die TRAIL-Expression wurden Unterschiede zwischen RRMS-Patienten und gesunden Probanden nachgewiesen. Die Ergebnisse dieser Arbeit zeigen ein komplexes Regulations- und Expressionsmuster von sCD95 und TRAIL, ohne jedoch Anhaltspunkte für Unterschiede zwischen MS-Patienten und Gesunden zu liefern. Es ergaben sich wichtige Hinweise darauf, dass der protektive immunomodulatorische Effekt einer systemischen IFN-beta-Therapie bei MS durch TRAIL vermittelt werden könnte. / Autoimmune disorders such as Multiple Sclerosis (MS) are characterized by an aberrant immune response with activation and persistence of autoreactive T-cells. Apoptosis-regulating mechanism such as the CD95-Rezeptor/CD95-Ligand- and the TRAIL-Rezeptor/TRAIL-System may play a major role in this process. The soluble CD95 receptor (sCD95) can bind to CD95L and subsequently inhibit apoptosis of activated T-cells. The systemic blockade of TRAIL leads to the exacerbation of autoimmune disease in animal experiments. In this work I investigated the expression, regulation and significance of sCD95, soluble TRAIL (sTRAIL) and membrane-bound TRAIL in patients with remitting-relapsing MS (RRMS), and in healthy controls. Cytokines were measured by ELISA, membrane bound proteins and apoptosis were measured by flow cytometry. The experiments with magnetically sorted human leucocyte subpopulations and cell lines showed, that only cell-type specific activated human T-cells secrete sCD95. Both forms of TRAIL were expressed by monocytes stimulated with IFN-beta. Cell supernatants containing sTRAIL induced apoptosis in susceptible tumour cells. Furthermore TRAIL inhibited proliferation of (auto)antigen-specific T cells and the production of Th-1 and Th-2 specific cytokines. There were no differences in the expression of sCD95 and TRAIL between RRMS patients and healthy controls. This work shows a complex regulation pattern of sCD95 and TRAIL without being able to detect differences between MS patients and healthy controls. However, results point out that TRAIL could be an important mediator of the immunomodulatory effects of systemic IFN-beta therapy in MS.

No description available.

Stem cells differentiate through an organized hierarchy of intermediate cell types to terminally differentiated cell types. This process is largely guided by master transcriptional regulators, but it also depends on the expression of many other types of genes. The discrete cell types in the differentiation hierarchy are often identified based on the expression or non-expression of certain marker genes. Historically, these have often been various cell-surface proteins, which are fairly easy to assay biochemically but are not necessarily causative of the cell type, in the sense of being master transcriptional regulators. This raises important questions about how gene expression across the whole genome controls or reflects cell state, and in particular, differentiation hierarchies. Traditional approaches to understanding gene expression patterns across multiple conditions, such as principal components analysis or K-means clustering, can group cell types based on gene expression, but they do so without knowledge of the differentiation hierarchy. Hierarchical clustering and maximization of parsimony can organize the cell types into a tree, but in general this tree is different from the differentiation hierarchy. Using hematopoietic differentiation as an example, we demonstrate how many genes other than marker genes are able to discriminate between different branches of the differentiation tree by proposing two models for detecting genes that are up-regulated or down-regulated in distinct lineages. We then propose a novel approach to solving the following problem: Given the differentiation hierarchy and gene expression data at each node, construct a weighted Euclidean distance metric such that the minimum spanning tree with respect to that metric is precisely the given differentiation hierarchy. We provide a set of linear constraints that are provably sufficient for the desired construction and a linear programming framework to identify sparse sets of weights, effectively identifying genes that are most relevant for discriminating different parts of the tree. We apply our method to microarray gene expression data describing 38 cell types in the hematopoiesis hierarchy, constructing a sparse weighted Euclidean metric that uses just 175 genes. These 175 genes are different than the marker genes that were used to identify the 38 cell types, hence offering a novel alternative way of discriminating different branches of the tree. A DAVID functional annotation analysis shows that the 175 genes reflect major processes and pathways active in different parts of the tree. However, we find that there are many alternative sets of weights that satisfy the linear constraints. Thus, in the style of random-forest training, we also construct metrics based on random subsets of the genes and compare them to the metric of 175 genes. Our results show that the 175 genes frequently appear in the random metrics, implicating their significance from an empirical point of view as well. Finally, we show how our linear programming method is able to identify columns that were selected to build minimum spanning trees on the nodes of random variable-size matrices.