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6 results on '"Laroche B"'

1. Challenges in microbial ecology: Building predictive understanding of community function and dynamics

Author

Widder, S, Allen, RJ, Pfeiffer, T, Curtis, TP, Wiuf, C, Sloan, WT, Cordero, OX, Brown, SP, Momeni, B, Shou, W, Kettle, H, Flint, HJ, Hass, AF, Laroche, B, Kreft, JU, Rainey, PB, Freilich, S, Shuster, S, Milferstedt, K, Van der Meer, JR, Grosskopf, T, Huisman, J, Free, A, Picioreanu, C, Quince, C, Klapper, I, Labarthe, S, Smets, B, Wang, H, Allison, SD, Chong, J, Lagomarsion, MC, Croze, OA, Hamelin, J, Harmand, J, Hoyle, R, Hwa, TT, Jin, Q, Johson, DR, Lorenzo, VD, Mobilia, M, Murphy, B, Peaudecerf, F, Prosser, JI, Quinn, RA, Ralser, M, Smith, AG, Steyer, JP, Swainston, N, Tarnita, CE, Trably, E, Warren, PB, Wilmes, P, Soyer, O, CUBE, Department of Microbiology and Ecosystem Science, Medizinische Universität Wien = Medical University of Vienna, SUPA, School of Physics and Astronomy, University of Edinburgh, New Zealand Institute for Advanced Study, School of Civil Engineering and Geosciences, University of Newcastle upon Tyne, Department of Mathematical Sciences [Copenhagen], Faculty of Science [Copenhagen], University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), Infrastructure and Environment Research Division, School of Engineering, University of Glasgow, Department of Civil and Environmental Engineering [Cambridge, USA] (CEE), Massachusetts Institute of Technology (MIT), Centre for Immunity, Infection and Evolution, School of Biological Sciences, Department of Biology, Boston College (BC), Fred Hutchinson Cancer Research Center [Seattle] (FHCRC), Division of Basic Sciences, Biomathematics and Statistics Scotland, Rowett Institute of Nutrition and Health, University of Aberdeen, Biology Department [San Diego], San Diego State University (SDSU), Mathématiques et Informatique Appliquées du Génome à l'Environnement [Jouy-En-Josas] (MaIAGE), Institut National de la Recherche Agronomique (INRA), School of Biosciences, University of Birmingham, Newe Ya’ar Research Center, Agricultural Research Organization, Department of Bioinformatics, Friedrich-Schiller-Universität Jena, Laboratoire de Biotechnologie de l'Environnement [Narbonne] (LBE), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA), Department of Fundamental Microbiology [Lausanne], Université de Lausanne (UNIL), School of Life Sciences, University of Warwick, Department of Aquatic Microbiology, University of Amsterdam, Institute of Quantitative Biology, Biochemistry and Biotechnology, School of Biological Science, Department of Biotechnology, Delft University of Technology (TU Delft), Warwick Medical School, University of Warwick [Coventry], Department of Mathematics, Temple University [Philadelphia], Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Department of Environmental Engineering, Technical University of Denmark [Lyngby] (DTU), Department of Systems Biology, Columbia University [New York], Genomic Physics [LCQB] (LCQB-Gphi), Biologie Computationnelle et Quantitative = Laboratory of Computational and Quantitative Biology (LCQB), Institut de Biologie Paris Seine (IBPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut de Biologie Paris Seine (IBPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Isaac Newton Institute of Mathematical Sciences, University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH), Department of Civil and Environmental Engineering [Cambridge] (CEE), Friedrich-Schiller-Universität = Friedrich Schiller University Jena [Jena, Germany], Institut National de la Recherche Agronomique (INRA)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Université de Lausanne = University of Lausanne (UNIL), University of Amsterdam [Amsterdam] (UvA), Danmarks Tekniske Universitet = Technical University of Denmark (DTU), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Biologie Paris Seine (IBPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Biologie Paris Seine (IBPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Widder, Stefanie [0000-0003-0733-5666], Brown, Sam P [0000-0003-1892-9275], Momeni, Babak [0000-0003-1271-5196], Kreft, Jan-Ulrich [0000-0002-2351-224X], Smets, Barth F [0000-0003-4119-6292], Soyer, Orkun S [0000-0002-9504-3796], Apollo - University of Cambridge Repository, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Aquatic Microbiology (IBED, FNWI), Massachusetts Institute of Technology. Department of Civil and Environmental Engineering, and Cordero Sanchez, Otto X.

Subjects
0301 basic medicine, microbial, Mini Review, Ecology (disciplines), media_common.quotation_subject, Air Microbiology, Biology, Microbiology, 03 medical and health sciences, Microbial ecology, challenge in microbial, predictive, ecology, challenge, Animals, Humans, Seawater, SDG 14 - Life Below Water, QA, Function (engineering), Ecosystem, Soil Microbiology, Ecology, Evolution, Behavior and Systematics, media_common, Structure (mathematical logic), Ecology, Microbiology and Parasitology, Models, Theoretical, 15. Life on land, Modélisation et simulation, Data science, Method development, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, Microbiologie et Parasitologie, QR, 030104 developmental biology, [SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology, 13. Climate action, Modeling and Simulation, Key (cryptography), Research questions, Model building
Abstract

The importance of microbial communities (MCs) cannot be overstated. MCs underpin the biogeochemical cycles of the earth’s soil, oceans and the atmosphere, and perform ecosystem functions that impact plants, animals and humans. Yet our ability to predict and manage the function of these highly complex, dynamically changing communities is limited. Building predictive models that link MC composition to function is a key emerging challenge in microbial ecology. Here, we argue that addressing this challenge requires close coordination of experimental data collection and method development with mathematical model building. We discuss specific examples where model–experiment integration has already resulted in important insights into MC function and structure. We also highlight key research questions that still demand better integration of experiments and models. We argue that such integration is needed to achieve significant progress in our understanding of MC dynamics and function, and we make specific practical suggestions as to how this could be achieved., United States. Army Research Office (W911NF-14-1-0445)

Published
2016
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2. The assessment of disease aggressivity in stage D2 prostate cancer patients (review)

Author

Koutsilieris M, Laroche B, Thabet M, and Yves Fradet

Subjects
Gonadotropin-Releasing Hormone, Male, Neoplasms, Hormone-Dependent, Humans, Prostatic Neoplasms, Estrogens, Testosterone, Neoplasm Metastasis, Prognosis, Orchiectomy, Neoplasm Staging
Abstract

Suppression of androgen levels in blood of stage D2 prostate cancer patients has been the prominent treatment for advanced prostate cancer. However, the duration of hormone sensitivity of prostate tumor is variable. The type of initial response to hormonal treatment, the length of response and patient's survival are in direct association with disease aggressiveness. Recently, an arithmetic formula expressing disease aggressivity was computed using pretreatment values of prostatic acid phosphatase (P.A.P.), alkaline phosphatase (A.P.), degree of tumor differentiation and number of bone metastases. This aggressiveness score was related to disease response and patients outcome receiving hormonal treatments. The use of an arithmetic formula to express disease aggressivity could result in a subdivision of the disease. The identification of the subgroup of stage D2 patients destined not to benefit from hormonal manipulation could change the strategies employed up until today for the treatment of advanced prostate cancer.

Published
1990

3. The antihypertensive effect of captopril. Evidence for an influence of kinins

Author

Mimran A, Targhetta R, and Laroche B

Subjects
medicine.medical_specialty, Mean arterial pressure, Captopril, Proline, Blood Pressure, Kinins, Pharmacology, Essential hypertension, Plasma renin activity, Renovascular hypertension, chemistry.chemical_compound, Aprotinin, Internal medicine, Internal Medicine, Humans, Medicine, cardiovascular diseases, Clinical Trials as Topic, business.industry, medicine.disease, Endocrinology, Blood pressure, chemistry, Hypertension, Saralasin, business, hormones, hormone substitutes, and hormone antagonists, circulatory and respiratory physiology, medicine.drug
Abstract

The acute effect of the orally-active converting enzyme inhibitor, captopril, was compared to that of saralasin in 13 patients with various forms of hypertension on ad libitum sodium intake. A significant difference between the effects of the two drugs on mean arterial pressure (MAP) was found (-11 +/- 3 mm Hg with saralasin, -24 +/- 4.5 mm Hg after captopril). This difference was not correlated with control plasma renin activity (PRA). To determine the influence of the endogenous kallikrein-kinin system in the antihypertensive action of captopril, the effect of aprotinin (Apro), an inhibitor of kinin generation, on the MAP level achieved by captopril was assessed in five normal subjects and 15 patients with hypertension on ad libitum sodium intake. In normal subjects, captopril did not alter MAP, nor did Apro have any effect. In six patients with essential hypertension and normal PRA, MAP decreased by 5.5 +/- 2 mm Hg following captopril, and Apro did not modify this level. In nine patients with renovascular hypertension (RVH), MAP fell by 22 +/ 3 mm Hg after captopril administration, and Apro infusion induced a rise in MAP of 13 +/- 1.7 mm Hg. A positive correlation between log control PRA and the effect of aprotinin was obtained ( r = 0.63, p less than 0.005). Apro had no effect in two patients with RVH who experiences a large drop in MAP during salasin. These results suggest that endogenous kinins as well as other substances, the generation of which is inhibited by aprotinin, may participate to the antihypertensive effect of captopril in patients with angiotensin-dependent hypertension. The lack of an aprotinin effect on the MAP level achieved during saralasin infusion suggests that the influence of the kallikrein-kinin system is related to the effect of captopril rather than the fall in arterial pressure resulting from angiotensin blockade.

Published
1980
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4. Abcès rénal et périrénal chez l'enfant

Author

Laroche, B, Homsy, Y, Perreault, G, and Laberge, I

Subjects
Male, bacterial infections and mycoses, Kidney, Prognosis, Abscess, Anti-Bacterial Agents, Radiography, Child, Preschool, Drainage, Humans, Female, Kidney Diseases, Child, Research Article
Abstract

One child with a pure perinephric abscess and three with renal abscesses, one of which had perinephric extension, are described. All presented with a long course of subacute infection leading to localizing symptoms or signs in the flank. The diagnosis was confirmed by radiologic examination. All the abscesses were surgically drained at various intervals after diagnosis, while the patients were receiving antibiotic therapy. Salvage of renal function was possible in all cases. A rational approach to the diagnosis and management of such abscesses is emphasized.

Published
1979

6. Total androgen ablation: Canadian experience

Author

Béland G, Elhilali M, Yves Fradet, Laroche B, Ew, Ramsey, Trachtenberg J, Pm, Venner, and Hd, Tewari

Subjects
Adult, Aged, 80 and over, Male, Double-Blind Method, Imidazoles, Humans, Prostatic Neoplasms, Androgen Antagonists, Middle Aged, Imidazolidines, Combined Modality Therapy, Orchiectomy, Aged
Abstract

A multicenter randomized, double-blind trial comparing total androgen blockade obtained by the use of castration with a pure anti-androgen (nilutamide) with simple castration was begun. One hundred and five patients received the combined treatment and 103 the orchiectomy plus placebo. Several features were used to evaluate the efficacy. Bone pain responded better to combined treatment at 6 months (P = 0.042). The number of favorable responses, as evaluated by the NPCP criteria, was 61% with simple castration and 78% with the combined treatment (P = 0.013). There was no statistically significant difference between the two groups in time to progression (logrank test P = 0.462) or survival (logrank test P = 0.137) despite an increase in median survival of 5.4 months. All other measures showed no difference between the two treatments. With total androgen blockade, 50% of the patients had disease progression at 1 year, and 45% were dead at 2 years. A review of the results of similar reported studies suggests no improvement or very modest improvement with total androgen blockade over testicular androgen ablation alone.

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