Dispersal probability distributions and the wave-front speed problem

The speed and width of front solutions to reaction-dispersal models are analyzed both analytically and numerically. We perform our analysis for Laplace and Gaussian distribution kernels, both for delayed and nondelayed models. The results are discussed in terms of the characteristic parameters of the models

A low-dose stimulation protocol using highly purified follicle-stimulating hormone can lead to high pregnancy rates in in vitro fertilization patients with polycystic ovaries who are at risk of a high ovarian response to gonadotropins.

OBJECTIVE: To study the benefits of a low-dose stimulation (LDS) protocol with purified urinary follicle-stimulating hormone in patients with polycystic ovaries who have presented previously with a very high ovarian response to a standard hMG stimulation. DESIGN: Cohort study. SETTING: Fertility center in a university hospital. PATIENT(S): Sixty-one patients involved in an IVF/ICSI program from January 1995 to December 1996. INTERVENTION(S): The patients were first stimulated with a standard protocol using hMG and presented with a very high ovarian response. These patients were then stimulated a second time using a low-dose protocol. Cryopreserved embryos were transferred in later artificial or natural cycles until to December 1999. MAIN OUTCOME MEASURE(S): Number of gonadotropin ampules; estradiol level on the day of ovulation induction; follicles, oocytes, and cryopreserved zygotes; fertilization, implantation, and pregnancy rates; and number of ovarian hyperstimulation syndromes (OHSS). RESULT(S): The number of ampules used, the estradiol level reached, and the number of oocytes obtained were significantly lower under the LDS than the standard protocol. High implantation (21.8%) and clinical pregnancy (38.4%) rates were obtained after LDS. The cumulated deliveries per cycle started and per patient were, respectively, 41.6% and 52.5%. Five patients suffered OHSS with the standard protocol, and none with the LDS. CONCLUSION(S): The LDS protocol offers a safe and efficient treatment for patients who present with echographic polycystic ovaries and are at risk of an excessive ovarian response to standard IVF stimulation protocols.

Saturable metabolism of continuous high-dose ifosfamide with mesna and GM-CSF: a pharmacokinetic study in advanced sarcoma patients. Swiss Group for Clinical Cancer Research (SAKK).

BACKGROUND: The aim of this study was to assess the pharmacology, toxicity and activity of high-dose ifosfamide mesna +/- GM-CSF administered by a five-day continuous infusion at a total ifosfamide dose of 12-18 g/m2 in adult patients with advanced sarcomas. PATIENTS AND METHODS: Between January 1991 and October 1992 32 patients with advanced or metastatic sarcoma were entered the study. Twenty-seven patients were pretreated including twenty-three with prior ifosfamide at less than 8 g/m2 total dose/cycle. In 25 patients (27 cycles) extensive pharmacokinetic analyses were performed. RESULTS: The area under the plasma concentration-time curve (AUC) for ifosfamide increased linearly with dose while the AUC's of the metabolites measured in plasma by thin-layer chromatography did not increase with dose, particularly that of the active metabolite isophosphoramide mustard. Furthermore the AUC of the inactive carboxymetabolite did not increase with dose. Interpatient variability of pharmacokinetic parameters was high. Dose-limiting toxicity was myelosuppression at 18 g/m2 total dose with grade 4 neutropenia in five of six patients and grade 4 thrombocytopenia in four of six patients. Therefore the maximum tolerated dose was considered to be 18 g/m2 total dose. There was one CR and eleven PR in twenty-nine evaluable patients (overall response rate 41%). CONCLUSION: Both the activation and inactivation pathways of ifosfamide are non-linear and saturable at high-doses although the pharmacokinetics of the parent drug itself are dose linear. Ifosfamide doses greater than 14-16 g/m2 per cycle appear to result in a relative decrease of the active metabolite isophosphoramide mustard. These data suggest a dose-dependent saturation or even inhibition of ifosfamide metabolism by increasing high dose ifosfamide and suggest the need for further metabolic studies.

On the depth of blowup algebras of ideals with analytic deviation one

Let I be an ideal in a local Cohen-Macaulay ring (A, m). Assume I to be generically a complete intersection of positive height. We compute the depth of the Rees algebra and the form ring of I when the analytic deviation of I equals one and its reduction number is also at most one. The formu- las we obtain coincide with the already known formulas for almost complete intersection ideals.

Integrated Analysis of High-Resolution Gene Expression and Copy Number Profiling Identified Biallelic Deletion of CDKN2A/2B Tumor Suppressor Locus As the Most Frequent and Unique Genomic Abnormality in Diffuse Large B-Cell Lymphoma (DLBCL) with Strong Prognostic Value in Both GCB and ABC Subtypes and Not Overcome by a Dose-Intensive Immunochemotherapy Regimen Plus Rituximab. Results of a Prospective GELA Clinical Trial Program

Background and aim of the study: Genomic gains and losses play a crucial role in the development and progression of DLBCL and are closely related to gene expression profiles (GEP), including the germinal center B-cell like (GCB) and activated B-cell like (ABC) cell of origin (COO) molecular signatures. To identify new oncogenes or tumor suppressor genes (TSG) involved in DLBCL pathogenesis and to determine their prognostic values, an integrated analysis of high-resolution gene expression and copy number profiling was performed. Patients and methods: Two hundred and eight adult patients with de novo CD20+ DLBCL enrolled in the prospective multicentric randomized LNH-03 GELA trials (LNH03-1B, -2B, -3B, 39B, -5B, -6B, -7B) with available frozen tumour samples, centralized reviewing and adequate DNA/RNA quality were selected. 116 patients were treated by Rituximab(R)-CHOP/R-miniCHOP and 92 patients were treated by the high dose (R)-ACVBP regimen dedicated to patients younger than 60 years (y) in frontline. Tumour samples were simultaneously analysed by high resolution comparative genomic hybridization (CGH, Agilent, 144K) and gene expression arrays (Affymetrix, U133+2). Minimal common regions (MCR), as defined by segments that affect the same chromosomal region in different cases, were delineated. Gene expression and MCR data sets were merged using Gene expression and dosage integrator algorithm (GEDI, Lenz et al. PNAS 2008) to identify new potential driver genes. Results: A total of 1363 recurrent (defined by a penetrance > 5%) MCRs within the DLBCL data set, ranging in size from 386 bp, affecting a single gene, to more than 24 Mb were identified by CGH. Of these MCRs, 756 (55%) showed a significant association with gene expression: 396 (59%) gains, 354 (52%) single-copy deletions, and 6 (67%) homozygous deletions. By this integrated approach, in addition to previously reported genes (CDKN2A/2B, PTEN, DLEU2, TNFAIP3, B2M, CD58, TNFRSF14, FOXP1, REL...), several genes targeted by gene copy abnormalities with a dosage effect and potential physiopathological impact were identified, including genes with TSG activity involved in cell cycle (HACE1, CDKN2C) immune response (CD68, CD177, CD70, TNFSF9, IRAK2), DNA integrity (XRCC2, BRCA1, NCOR1, NF1, FHIT) or oncogenic functions (CD79b, PTPRT, MALT1, AUTS2, MCL1, PTTG1...) with distinct distribution according to COO signature. The CDKN2A/2B tumor suppressor locus (9p21) was deleted homozygously in 27% of cases and hemizygously in 9% of cases. Biallelic loss was observed in 49% of ABC DLBCL and in 10% of GCB DLBCL. This deletion was strongly correlated to age and associated to a limited number of additional genetic abnormalities including trisomy 3, 18 and short gains/losses of Chr. 1, 2, 19 regions (FDR < 0.01), allowing to identify genes that may have synergistic effects with CDKN2A/2B inactivation. With a median follow-up of 42.9 months, only CDKN2A/2B biallelic deletion strongly correlates (FDR p.value < 0.01) to a poor outcome in the entire cohort (4y PFS = 44% [32-61] respectively vs. 74% [66-82] for patients in germline configuration; 4y OS = 53% [39-72] vs 83% [76-90]). In a Cox proportional hazard prediction of the PFS, CDKN2A/2B deletion remains predictive (HR = 1.9 [1.1-3.2], p = 0.02) when combined with IPI (HR = 2.4 [1.4-4.1], p = 0.001) and GCB status (HR = 1.3 [0.8-2.3], p = 0.31). This difference remains predictive in the subgroup of patients treated by R-CHOP (4y PFS = 43% [29-63] vs. 66% [55-78], p=0.02), in patients treated by R-ACVBP (4y PFS = 49% [28-84] vs. 83% [74-92], p=0.003), and in GCB (4y PFS = 50% [27-93] vs. 81% [73-90], p=0.02), or ABC/unclassified (5y PFS = 42% [28-61] vs. 67% [55-82] p = 0.009) molecular subtypes (Figure 1). Conclusion: We report for the first time an integrated genetic analysis of a large cohort of DLBCL patients included in a prospective multicentric clinical trial program allowing identifying new potential driver genes with pathogenic impact. However CDKN2A/2B deletion constitutes the strongest and unique prognostic factor of chemoresistance to R-CHOP, regardless the COO signature, which is not overcome by a more intensified immunochemotherapy. Patients displaying this frequent genomic abnormality warrant new and dedicated therapeutic approaches.

Is Less Chemotherapy Detrimental in Adults with Philadelphia Chromosome (Ph)-Positive Acute Lymphoblastic Leukemia (ALL) Treated with High-Dose Imatinib? Results of the Prospective Randomized Graaph-2005 Study

Aim: To compare a less intensive regimen based on high-dose imatinib (IM) to an intensive IM/HyperCVAD regimen in adults with Ph+ ALL, in terms of early response and outcome after stem cell transplantation (SCT). Methods: Patients aged 18-60 years with previously untreated Ph+ ALL not evolving from chronic myeloid leukemia were eligible if no contra-indication to chemotherapy and SCT (ClinicalTrials.gov ID, NCT00327678). After a steroid prephase allowing Ph and/or BCR-ABL diagnosis, cycle 1 differed between randomization arms. In arm A (IM-based), IM was given at 800 mg on day 1-28, combined with vincristine (2 mg, day 1, 8, 15, 22) and dexamethasone (40 mg, day 1-2, 8-9, 15-16, and 22-23) only. In arm B (IM/HyperCVAD), IM was given at 800 mg on day 1-14, combined with adriamycin (50 mg/m2, day 4), cyclophosphamide (300 mg/m2/12h, day 1, 2, 3), vincristine (2 mg, day 4 and 11), and dexamethasone (40 mg, day 1-4 and 11-14). All patients received a cycle 2 combining high-dose methotrexate (1 g/m2, day 1) and AraC (3 g/m2/12h, day 2 and 3) with IM at 800 mg on day 1-14, whatever their response. Four intrathecal infusions were given during this induction/consolidation period. Minimal residual disease (MRD) was centrally evaluated by quantitative RQ-PCR after cycle 1 (MRD1) and cycle 2 (MRD2). Major MRD response was defined as BCR-ABL/ABL ratio <0.1%. Then, all patients were to receive allogeneic SCT using related or unrelated matched donor stem cells or autologous SCT if no donor and a major MRD2 response. IM/chemotherapy maintenance was planned after autologous SCT. In the absence of SCT, patients received alternating cycles 1 (as in arm B) and cycles 2 followed by maintenance, like in the published IM/HyperCVAD regimen. The primary objective was non-inferiority of arm A in term of major MRD2 response. Secondary objectives were CR rate, SCT rate, treatment- and transplant-related mortality, relapse-free (RFS), event-free (EFS) and overall (OS) survival. Results: Among the 270 patients randomized between May 2006 and August 2011, 265 patients were evaluable for this analysis (133 arm A, 132 arm B; median age, 47 years; median follow-up, 40 months). Main patient characteristics were well-balanced between both arms. Due to higher induction mortality in arm B (9 versus 1 deaths; P=0.01), CR rate was higher in the less intensive arm A (98% versus 89% after cycle 1 and 98% versus 91% after cycle 2; P= 0.003 and 0.006, respectively). A total of 213 and 205 patients were evaluated for bone marrow MRD1 and MRD2. The rates of patients reaching major MRD response and undetectable MRD were 45% (44% arm A, 46% arm B; P=0.79) and 10% (in both arms) at MRD1 and 66% (68% arm A, 63.5% arm B; P=0.56) and 25% (28% arm A, 22% arm B; P=0.33) at MRD2, respectively. The non-inferiority primary endpoint was thus demonstrated (P= 0.002). Overall, EFS was estimated at 42% (95% CI, 35-49) and OS at 51% (95% CI, 44-57) at 3 years, with no difference between arm A and B (46% versus 38% and 53% versus 49%; P=0.25 and 0.61, respectively). Of the 251 CR patients, 157 (80 arm A, 77 arm B) and 34 (17 in both arms) received allogeneic and autologous SCT in first CR, respectively. Allogeneic transplant-related mortality was similar in both arms (31.5% versus 22% at 3 years; P=0.51). Of the 157 allografted patients, 133 had MRD2 evaluation and 89 had MRD2 <0.1%. In these patients, MRD2 did not significantly influence post-transplant RFS and OS, either when tested with the 0.1% cutoff or as a continuous log covariate. Of the 34 autografted patients, 31 had MRD2 evaluation and, according to the protocol, 28 had MRD2 <0.1%. When restricting the comparison to patients achieving major MRD2 response and with the current follow-up, a trend for better results was observed after autologous as compared to allogeneic SCT (RFS, 63% versus 49.5% and OS, 69% versus 58% at 3 years; P=0.35 and P=0.08, respectively). Conclusions: In adults, the use of TK inhibitors (TKI) has markedly improved the results of Ph+ ALL therapy, now close to those observed in Ph-negative ALL. We demonstrated here that chemotherapy intensity may be safely reduced when associated with high-dose IM. We will further explore this TKI-based strategy using nilotinib prior to SCT in our next GRAAPH-2013 trial. The trend towards a better outcome after autologous compared to allogeneic SCT observed in MRD responders validates MRD as an important early surrogate endpoint for treatment stratification and new drug investigation in this disease.

A Dose-Response Strategy Reveals Differences between Normal-Weight and Obese Men in Their Metabolic and Inflammatory Responses to a High-Fat Meal.

A dose-response strategy may not only allow investigation of the impact of foods and nutrients on human health but may also reveal differences in the response of individuals to food ingestion based on their metabolic health status. In a randomized crossover study, we challenged 19 normal-weight (BMI: 20-25 kg/m(2)) and 18 obese (BMI: >30 kg/m(2)) men with 500, 1000, and 1500 kcal of a high-fat (HF) meal (60.5% energy from fat). Blood was taken at baseline and up to 6 h postprandially and analyzed for a range of metabolic, inflammatory, and hormonal variables, including plasma glucose, lipids, and C-reactive protein and serum insulin, glucagon-like peptide-1, interleukin-6 (IL-6), and endotoxin. Insulin was the only variable that could differentiate the postprandial response of normal-weight and obese participants at each of the 3 caloric doses. A significant response of the inflammatory marker IL-6 was only observed in the obese group after ingestion of the HF meal containing 1500 kcal [net incremental AUC (iAUC) = 22.9 ± 6.8 pg/mL × 6 h, P = 0.002]. Furthermore, the net iAUC for triglycerides significantly increased from the 1000 to the 1500 kcal meal in the obese group (5.0 ± 0.5 mmol/L × 6 h vs. 6.0 ± 0.5 mmol/L × 6 h; P = 0.015) but not in the normal-weight group (4.3 ± 0.5 mmol/L × 6 h vs. 4.8 ± 0.5 mmol/L × 6 h; P = 0.31). We propose that caloric dose-response studies may contribute to a better understanding of the metabolic impact of food on the human organism. This study was registered at clinicaltrials.gov as NCT01446068.

Época de aplicação da primeira dose de nitrogênio em cobertura em milho e espécies antecessoras de cobertura de inverno

Atualmente, os critérios utilizados no Sul do Brasil para definição da dose de nitrogênio (N) a ser aplicada no milho são o teor de matéria orgânica no solo, a expectativa de rendimento da cultura e as características da cultura antecessora. Embora apresente alta relação carbono:nitrogênio (C/N), a aveia preta é a espécie de cobertura de solo de inverno mais utilizada como antecessora às culturas comerciais de verão. Essa característica pode resultar em imobilização do N do solo, deficiência de N na planta de milho e redução no rendimento de grãos. Embora na determinação da dose a ser aplicada sejam consideradas as espécies antecessoras, os avanços quanto à melhor época para aplicar N em cobertura em milho foram pequenos. Com o objetivo de avaliar a época mais adequada para aplicação da primeira dose de N em cobertura no milho cultivado em sucessão a espécies de inverno com distintas relações C/N, um experimento foi realizado em vasos em casa de vegetação em Porto Alegre-RS. Utilizaram-se colunas de solo não deformado, classificado como Argissolo Vermelho distrófico típico. Os tratamentos constaram de quatro sistemas de coberturas de solo de inverno (aveia preta, ervilhaca comum, nabo forrageiro e pousio) e três formas de manejo de N em cobertura (com aplicação de N nos estádios V3 ou V5 e sem aplicação de N em cobertura). O delineamento experimental foi o completamente casualizado, em esquema fatorial 4 x 3, com três repetições. Procedeu-se à análise de variância pelo teste F e à comparação de médias pelo teste de Tukey (p < 0,05). A aveia, que tem alta relação C/N, apresentou baixa taxa de mineralização e de liberação de N de seus resíduos, enquanto as culturas de ervilhaca comum e nabo forrageiro mostraram relação C/N mais estreita, estimulando esses processos. Com o uso de aveia como cultura antecessora ao milho, verificou-se diminuição dos teores de N mineral no solo e de N total na planta de milho, independentemente da época de aplicação de N em cobertura, diminuindo o desenvolvimento inicial da planta. Em sucessão à ervilhaca comum e ao nabo forrageiro, o teor relativo de clorofila na folha e a produção de massa seca de milho, avaliados no estádio V7, foram maiores em relação aos obtidos em sucessão à aveia preta, independentemente da época de aplicação da primeira dose de N em cobertura. Os dados obtidos evidenciaram ser possível retardar a época de aplicação da primeira dose de N em cobertura em milho do estádio V3 para V5, quando o milho for cultivado em sucessão a espécies de inverno com baixa relação C/N.

Fluxo difusivo de micronutrientes catiônicos afetado pelo tipo, dose e época de incorporação de adubos verdes ao solo

Os solos brasileiros, principalmente os do cerrado, são bastante intemperizados e pobres em alguns micronutrientes catiônicos na solução do solo. A utilização de técnicas de manejo, como a adubação verde, pode favorecer o fluxo difusivo (FD) e a disponibilidade desses nutrientes para as plantas. O presente trabalho visou avaliar se a incorporação de adubos verdes ao solo, em diferentes doses e épocas, modifica o FD e a forma iônica de transporte dos micronutrientes Zn, Cu, Fe e Mn no solo. Para tanto, foram incorporados dois resíduos vegetais largamente cultivados como adubo verde: o feijão guandu (Cajanus cajan) ou o milheto (Pennisetum americanum) por diferentes períodos (0, 15, 25, 35, 45 e 55 dias) e doses (0, 9, 18 e 36 t ha-1) num Latossolo Vermelho, argiloso, em condições de laboratório. Para avaliar o FD, utilizaram-se resinas de troca aniônica (positivamente carregada) e de troca catiônica (negativamente carregada) na forma de lâmina, incubadas junto ao solo em câmaras de difusão durante 15 dias. Os resultados obtidos demonstraram que houve aumento do FD do Cu e do Fe com o aumento das doses de material vegetal, principalmente no início do período de incubação, e maior fluxo desses dois micronutrientes para a resina aniônica em relação à catiônica, possivelmente por ser o seu transporte no solo mais dependente da formação de complexos organometálicos com carga líquida negativa. Já para Zn e Mn, o fluxo difusivo foi maior para a resina catiônica. O aumento do tempo de incubação favoreceu o fluxo difusivo de Mn e Zn e reduziu o do Cu e Fe.

Novel methods improve prediction of species' distributions from occurrence data

Prediction of species' distributions is central to diverse applications in ecology, evolution and conservation science. There is increasing electronic access to vast sets of occurrence records in museums and herbaria, yet little effective guidance on how best to use this information in the context of numerous approaches for modelling distributions. To meet this need, we compared 16 modelling methods over 226 species from 6 regions of the world, creating the most comprehensive set of model comparisons to date. We used presence-only data to fit models, and independent presence-absence data to evaluate the predictions. Along with well-established modelling methods such as generalised additive models and GARP and BIOCLIM, we explored methods that either have been developed recently or have rarely been applied to modelling species' distributions. These include machine-learning methods and community models, both of which have features that may make them particularly well suited to noisy or sparse information, as is typical of species' occurrence data. Presence-only data were effective for modelling species' distributions for many species and regions. The novel methods consistently outperformed more established methods. The results of our analysis are promising for the use of data from museums and herbaria, especially as methods suited to the noise inherent in such data improve.

When "enough" is not enough: new perspectives on optimal methadone maintenance dose.

Some methadone maintenance treatment (MMT) programs prescribe inadequate daily methadone doses. Patients complain of withdrawal symptoms and continue illicit opioid use, yet practitioners are reluctant to increase doses above certain arbitrary thresholds. Serum methadone levels (SMLs) may guide practitioners dosing decisions, especially for those patients who have low SMLs despite higher methadone doses. Such variation is due in part to the complexities of methadone metabolism. The medication itself is a racemic (50:50) mixture of 2 enantiomers: an active "R" form and an essentially inactive "S" form. Methadone is metabolized primarily in the liver, by up to five cytochrome P450 isoforms, and individual differences in enzyme activity help explain wide ranges of active R-enantiomer concentrations in patients given identical doses of racemic methadone. Most clinical research studies have used methadone doses of less than 100 mg/day [d] and have not reported corresponding SMLs. New research suggests that doses ranging from 120 mg/d to more than 700 mg/d, with correspondingly higher SMLs, may be optimal for many patients. Each patient presents a unique clinical challenge, and there is no way of prescribing a single best methadone dose to achieve a specific blood level as a "gold standard" for all patients. Clinical signs and patient-reported symptoms of abstinence syndrome, and continuing illicit opioid use, are effective indicators of dose inadequacy. There does not appear to be a maximum daily dose limit when determining what is adequately "enough" methadone in MMT.

Time-lapse and probabilistic inversion strategies for plane-wave electromagnetic data.

L'utilisation efficace des systèmes géothermaux, la séquestration du CO2 pour limiter le changement climatique et la prévention de l'intrusion d'eau salée dans les aquifères costaux ne sont que quelques exemples qui démontrent notre besoin en technologies nouvelles pour suivre l'évolution des processus souterrains à partir de la surface. Un défi majeur est d'assurer la caractérisation et l'optimisation des performances de ces technologies à différentes échelles spatiales et temporelles. Les méthodes électromagnétiques (EM) d'ondes planes sont sensibles à la conductivité électrique du sous-sol et, par conséquent, à la conductivité électrique des fluides saturant la roche, à la présence de fractures connectées, à la température et aux matériaux géologiques. Ces méthodes sont régies par des équations valides sur de larges gammes de fréquences, permettant détudier de manières analogues des processus allant de quelques mètres sous la surface jusqu'à plusieurs kilomètres de profondeur. Néanmoins, ces méthodes sont soumises à une perte de résolution avec la profondeur à cause des propriétés diffusives du champ électromagnétique. Pour cette raison, l'estimation des modèles du sous-sol par ces méthodes doit prendre en compte des informations a priori afin de contraindre les modèles autant que possible et de permettre la quantification des incertitudes de ces modèles de façon appropriée. Dans la présente thèse, je développe des approches permettant la caractérisation statique et dynamique du sous-sol à l'aide d'ondes EM planes. Dans une première partie, je présente une approche déterministe permettant de réaliser des inversions répétées dans le temps (time-lapse) de données d'ondes EM planes en deux dimensions. Cette stratégie est basée sur l'incorporation dans l'algorithme d'informations a priori en fonction des changements du modèle de conductivité électrique attendus. Ceci est réalisé en intégrant une régularisation stochastique et des contraintes flexibles par rapport à la gamme des changements attendus en utilisant les multiplicateurs de Lagrange. J'utilise des normes différentes de la norme l2 pour contraindre la structure du modèle et obtenir des transitions abruptes entre les régions du model qui subissent des changements dans le temps et celles qui n'en subissent pas. Aussi, j'incorpore une stratégie afin d'éliminer les erreurs systématiques de données time-lapse. Ce travail a mis en évidence l'amélioration de la caractérisation des changements temporels par rapport aux approches classiques qui réalisent des inversions indépendantes à chaque pas de temps et comparent les modèles. Dans la seconde partie de cette thèse, j'adopte un formalisme bayésien et je teste la possibilité de quantifier les incertitudes sur les paramètres du modèle dans l'inversion d'ondes EM planes. Pour ce faire, je présente une stratégie d'inversion probabiliste basée sur des pixels à deux dimensions pour des inversions de données d'ondes EM planes et de tomographies de résistivité électrique (ERT) séparées et jointes. Je compare les incertitudes des paramètres du modèle en considérant différents types d'information a priori sur la structure du modèle et différentes fonctions de vraisemblance pour décrire les erreurs sur les données. Les résultats indiquent que la régularisation du modèle est nécessaire lorsqu'on a à faire à un large nombre de paramètres car cela permet d'accélérer la convergence des chaînes et d'obtenir des modèles plus réalistes. Cependent, ces contraintes mènent à des incertitudes d'estimations plus faibles, ce qui implique des distributions a posteriori qui ne contiennent pas le vrai modèledans les régions ou` la méthode présente une sensibilité limitée. Cette situation peut être améliorée en combinant des méthodes d'ondes EM planes avec d'autres méthodes complémentaires telles que l'ERT. De plus, je montre que le poids de régularisation des paramètres et l'écart-type des erreurs sur les données peuvent être retrouvés par une inversion probabiliste. Finalement, j'évalue la possibilité de caractériser une distribution tridimensionnelle d'un panache de traceur salin injecté dans le sous-sol en réalisant une inversion probabiliste time-lapse tridimensionnelle d'ondes EM planes. Etant donné que les inversions probabilistes sont très coûteuses en temps de calcul lorsque l'espace des paramètres présente une grande dimension, je propose une stratégie de réduction du modèle ou` les coefficients de décomposition des moments de Legendre du panache de traceur injecté ainsi que sa position sont estimés. Pour ce faire, un modèle de résistivité de base est nécessaire. Il peut être obtenu avant l'expérience time-lapse. Un test synthétique montre que la méthodologie marche bien quand le modèle de résistivité de base est caractérisé correctement. Cette méthodologie est aussi appliquée à un test de trac¸age par injection d'une solution saline et d'acides réalisé dans un système géothermal en Australie, puis comparée à une inversion time-lapse tridimensionnelle réalisée selon une approche déterministe. L'inversion probabiliste permet de mieux contraindre le panache du traceur salin gr^ace à la grande quantité d'informations a priori incluse dans l'algorithme. Néanmoins, les changements de conductivités nécessaires pour expliquer les changements observés dans les données sont plus grands que ce qu'expliquent notre connaissance actuelle des phénomenès physiques. Ce problème peut être lié à la qualité limitée du modèle de résistivité de base utilisé, indiquant ainsi que des efforts plus grands devront être fournis dans le futur pour obtenir des modèles de base de bonne qualité avant de réaliser des expériences dynamiques. Les études décrites dans cette thèse montrent que les méthodes d'ondes EM planes sont très utiles pour caractériser et suivre les variations temporelles du sous-sol sur de larges échelles. Les présentes approches améliorent l'évaluation des modèles obtenus, autant en termes d'incorporation d'informations a priori, qu'en termes de quantification d'incertitudes a posteriori. De plus, les stratégies développées peuvent être appliquées à d'autres méthodes géophysiques, et offrent une grande flexibilité pour l'incorporation d'informations additionnelles lorsqu'elles sont disponibles. -- The efficient use of geothermal systems, the sequestration of CO2 to mitigate climate change, and the prevention of seawater intrusion in coastal aquifers are only some examples that demonstrate the need for novel technologies to monitor subsurface processes from the surface. A main challenge is to assure optimal performance of such technologies at different temporal and spatial scales. Plane-wave electromagnetic (EM) methods are sensitive to subsurface electrical conductivity and consequently to fluid conductivity, fracture connectivity, temperature, and rock mineralogy. These methods have governing equations that are the same over a large range of frequencies, thus allowing to study in an analogous manner processes on scales ranging from few meters close to the surface down to several hundreds of kilometers depth. Unfortunately, they suffer from a significant resolution loss with depth due to the diffusive nature of the electromagnetic fields. Therefore, estimations of subsurface models that use these methods should incorporate a priori information to better constrain the models, and provide appropriate measures of model uncertainty. During my thesis, I have developed approaches to improve the static and dynamic characterization of the subsurface with plane-wave EM methods. In the first part of this thesis, I present a two-dimensional deterministic approach to perform time-lapse inversion of plane-wave EM data. The strategy is based on the incorporation of prior information into the inversion algorithm regarding the expected temporal changes in electrical conductivity. This is done by incorporating a flexible stochastic regularization and constraints regarding the expected ranges of the changes by using Lagrange multipliers. I use non-l2 norms to penalize the model update in order to obtain sharp transitions between regions that experience temporal changes and regions that do not. I also incorporate a time-lapse differencing strategy to remove systematic errors in the time-lapse inversion. This work presents improvements in the characterization of temporal changes with respect to the classical approach of performing separate inversions and computing differences between the models. In the second part of this thesis, I adopt a Bayesian framework and use Markov chain Monte Carlo (MCMC) simulations to quantify model parameter uncertainty in plane-wave EM inversion. For this purpose, I present a two-dimensional pixel-based probabilistic inversion strategy for separate and joint inversions of plane-wave EM and electrical resistivity tomography (ERT) data. I compare the uncertainties of the model parameters when considering different types of prior information on the model structure and different likelihood functions to describe the data errors. The results indicate that model regularization is necessary when dealing with a large number of model parameters because it helps to accelerate the convergence of the chains and leads to more realistic models. These constraints also lead to smaller uncertainty estimates, which imply posterior distributions that do not include the true underlying model in regions where the method has limited sensitivity. This situation can be improved by combining planewave EM methods with complimentary geophysical methods such as ERT. In addition, I show that an appropriate regularization weight and the standard deviation of the data errors can be retrieved by the MCMC inversion. Finally, I evaluate the possibility of characterizing the three-dimensional distribution of an injected water plume by performing three-dimensional time-lapse MCMC inversion of planewave EM data. Since MCMC inversion involves a significant computational burden in high parameter dimensions, I propose a model reduction strategy where the coefficients of a Legendre moment decomposition of the injected water plume and its location are estimated. For this purpose, a base resistivity model is needed which is obtained prior to the time-lapse experiment. A synthetic test shows that the methodology works well when the base resistivity model is correctly characterized. The methodology is also applied to an injection experiment performed in a geothermal system in Australia, and compared to a three-dimensional time-lapse inversion performed within a deterministic framework. The MCMC inversion better constrains the water plumes due to the larger amount of prior information that is included in the algorithm. The conductivity changes needed to explain the time-lapse data are much larger than what is physically possible based on present day understandings. This issue may be related to the base resistivity model used, therefore indicating that more efforts should be given to obtain high-quality base models prior to dynamic experiments. The studies described herein give clear evidence that plane-wave EM methods are useful to characterize and monitor the subsurface at a wide range of scales. The presented approaches contribute to an improved appraisal of the obtained models, both in terms of the incorporation of prior information in the algorithms and the posterior uncertainty quantification. In addition, the developed strategies can be applied to other geophysical methods, and offer great flexibility to incorporate additional information when available.

Oral administration of a low dose of midazolam (75 microg) as an in vivo probe for CYP3A activity.

OBJECTIVE: We investigated whether the oral administration of a low dose (75 micro g) of midazolam, a CYP3A probe, can be used to measure the in vivo CYP3A activity. METHODS: Plasma concentrations of midazolam, 1'OH-midazolam and 4'OH-midazolam were measured after the oral administration of 7.5 mg and 75 micro g midazolam in 13 healthy subjects without medication, in four subjects pretreated for 2 days with ketoconazole (200 mg b.i.d.), a CYP3A inhibitor, and in four subjects pretreated for 4 days with rifampicin (450 mg q.d.), a CYP3A inducer. RESULTS: After oral administration of 75 micro g midazolam, the 30-min total (unconjugated + conjugated) 1'OH-midazolam/midazolam ratios measured in the groups without co-medication, with ketoconazole and with rifampicin were (mean+/-SD): 6.23+/-2.61, 0.79+/-0.39 and 56.1+/-12.4, respectively. No side effects were reported by the subjects taking this low dose of midazolam. Good correlations were observed between the 30-min total 1'OH-midazolam/midazolam ratio and midazolam clearance in the group without co-medication (r(2)=0.64, P<0.001) and in the three groups taken together (r(2)=0.91, P<0.0001). Good correlations were also observed between midazolam plasma levels and midazolam clearance, measured between 1.5 h and 4 h. CONCLUSION: A low oral dose of midazolam can be used to phenotype CYP3A, either by the determination of total 1'OH-midazolam/midazolam ratios at 30 min or by the determination of midazolam plasma levels between 1.5 h and 4 h after its administration.

Influence of the timing of low-dose aspirin on tolerability of prolonged-release nicotinic acid in patients at elevated cardiovascular risk

OBJECTIVES: To investigate the effect of low-dose aspirin administered in the morning or evening on the rate of discontinuation of prolonged-release nicotinic acid (Niaspan) due to flushing in patients at elevated cardiovascular risk. RESEARCH DESIGN AND METHODS: This was an observational, non-interventional study in patients at elevated cardiovascular risk due to cardiovascular disease or type 2 diabetes. Patients received prolonged-release nicotinic acid and aspirin under the usual care of their physician for 15 weeks. MAIN OUTCOME MEASURES: The main outcome measure was the rate of treatment discontinuation for flushing. Other adverse drug reactions (ADRs) were also recorded. Lipid parameters were also measured. RESULTS: The patient population included 539 subjects (70% male); 36% had type 2 diabetes, 80% had prior cardiovascular disease, and 37% had a family history of cardiovascular disease. The rate of treatment discontinuation due to flushing did not differ (p = 0.3375) between the morning aspirin group (10.6%) and the evening aspirin group (13.8%). The overall incidence of flushing was 57%. Most flushes were of mild or moderate severity and decreases occurred over time in both frequency and intensity. ADRs unrelated to flushing occurred in 6.6% of the morning aspirin group and 7.4% of the evening aspirin group. HDL-cholesterol increased by +21.3% in the overall population, together with moderate improvements in other lipid parameters. CONCLUSIONS: Flushing was the most common ADR with prolonged-release nicotinic acid treatment, as expected. The timing of aspirin administration did not influence the rate of treatment discontinuations for flushing. Marked increases in HDL-cholesterol were observed.