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1. Covariate modeling in pharmacometrics: General points for consideration

Author

Kinjal Sanghavi, Jakob Ribbing, James A. Rogers, Mariam A. Ahmed, Mats O. Karlsson, Nick Holford, Estelle Chasseloup, Malidi Ahamadi, Kenneth G. Kowalski, Susan Cole, Essam Kerwash, Janet R. Wade, Chao Liu, Yaning Wang, Mirjam N. Trame, Hao Zhu, Justin J. Wilkins, and for the ISoP Standards & Best Practices Committee

Subjects
Therapeutics. Pharmacology, RM1-950
Abstract

Abstract Modeling the relationships between covariates and pharmacometric model parameters is a central feature of pharmacometric analyses. The information obtained from covariate modeling may be used for dose selection, dose individualization, or the planning of clinical studies in different population subgroups. The pharmacometric literature has amassed a diverse, complex, and evolving collection of methodologies and interpretive guidance related to covariate modeling. With the number and complexity of technologies increasing, a need for an overview of the state of the art has emerged. In this article the International Society of Pharmacometrics (ISoP) Standards and Best Practices Committee presents perspectives on best practices for planning, executing, reporting, and interpreting covariate analyses to guide pharmacometrics decision making in academic, industry, and regulatory settings.

Published
2024
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2. Evaluation of the effect of erenumab on migraine‐specific questionnaire in patients with chronic and episodic migraine

Author

Po‐Wei Chen, Mats O. Karlsson, Sebastian Ueckert, Ari Pritchard‐Bell, Cheng‐Pang Hsu, Sandeep Dutta, and Malidi Ahamadi

Subjects
Therapeutics. Pharmacology, RM1-950
Abstract

Abstract Erenumab is a fully human anti‐canonical calcitonin gene‐related peptide receptor monoclonal antibody approved for migraine prevention. The Migraine‐Specific Quality‐of‐Life Questionnaire (MSQ) is a 14‐item patient‐reported outcome instrument that measures the impact of migraine on health‐related quality of life. Erenumab data from four phase II/III clinical trials were used to develop an item response theory (IRT) model within a nonlinear mixed effects framework, (i) evaluate the MSQ item information with respect to patient disability, (ii) characterize the longitudinal progression of the MSQ, and (iii) quantify the effect of erenumab on the MSQ in patients with migraine. The majority (80%) of information was found to be contained in 9 out of 14 items, extending the current knowledge on the reliability of the MSQ as a psychometric tool. Simulations across three MSQ domains show significant improvement from baseline, exceeding minimally important differences. Overall, the IRT model platform developed herein allows for systematic quantification of the effect of erenumab on the MSQ in patients with migraine.

Published
2023
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3. Oncolytic viral kinetics mechanistic modeling of Talimogene Laherparepvec (T‐VEC) a first‐in‐class oncolytic viral therapy in patients with advanced melanoma

Author

Malidi Ahamadi, Johannes Kast, Po‐Wei Chen, Xiaojun Huang, Sandeep Dutta, and Vijay V. Upreti

Subjects
Therapeutics. Pharmacology, RM1-950
Abstract

Abstract Talimogene Laherparepvec (T‐VEC) is a first‐in‐class oncolytic virotherapy approved for the treatment of unresectable melanoma recurrent after initial surgery. Biodistribution data from a phase II study was used to develop a viral kinetic mechanistic model describing the interaction between cytokines such as granulocyte‐macrophage colony‐stimulating factor (GM‐CSF), the immune system, and T‐VEC treatment. Our analysis found that (1) the viral infection rate has a great influence on T‐VEC treatment efficacy; (2) an increase in T‐VEC dose of 102 plaque‐forming units/ml 21 days and beyond after the initial dose of T‐VEC resulted in an ~12% increase in response; and (3) at the systemic level, the ratio of resting innate immune cells to the death rate of innate immune impact T‐VEC treatment efficacy. This analysis clarifies under which condition the immune system either assists in eliminating tumor cells or inhibits T‐VEC treatment efficacy, which is critical to both efficiently design future oncolytic agents and understand cancer development.

Published
2023
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4. Recent advances and clinical pharmacology aspects of Chimeric Antigen Receptor (CAR) T‐cellular therapy development

Author

Johannes Kast, Saeideh Nozohouri, Di Zhou, Marc R. Yago, Po‐Wei Chen, Malidi Ahamadi, Sandeep Dutta, and Vijay V. Upreti

Subjects
Therapeutics. Pharmacology, RM1-950, Public aspects of medicine, RA1-1270
Abstract

Abstract Advances in immuno‐oncology have provided a variety of novel therapeutics that harness the innate immune system to identify and destroy neoplastic cells. It is noteworthy that acceptable safety profiles accompany the development of these targeted therapies, which result in efficacious cancer treatment with higher survival rates and lower toxicities. Adoptive cellular therapy (ACT) has shown promising results in inducing sustainable remissions in patients suffering from refractory diseases. Two main types of ACT include engineered Chimeric Antigen Receptor (CAR) T cells and T cell receptor (TCR) T cells. The application of these immuno‐therapies in the last few years has been successful and has demonstrated a safe and rapid treatment regimen for solid and non‐solid tumors. The current review presents an insight into the clinical pharmacology aspects of immuno‐therapies, especially CAR‐T cells. Here, we summarize the current knowledge of TCR and CAR‐T cell immunotherapy with particular focus on the structure of CAR‐T cells, the effects and toxicities associated with these therapies in clinical trials, risk mitigation strategies, dose selection approaches, and cellular kinetics. Finally, the quantitative approaches and modeling techniques used in the development of CAR‐T cell therapies are described.

Published
2022
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5. Molecular Neuroimaging of the Dopamine Transporter as a Patient Enrichment Biomarker for Clinical Trials for Early Parkinson's Disease

Author

Klaus Romero, Daniela Conrado, Jackson Burton, Timothy Nicholas, Vikram Sinha, Sreeraj Macha, Malidi Ahamadi, Jesse Cedarbaum, John Seibyl, Kenneth Marek, Peter Basseches, Derek Hill, Ed Somer, Jill Gallagher, David T. Dexter, Arthur Roach, Diane Stephenson, for the Critical Path for Parkinson's (CPP) Consortium, and the Parkinson's Progression Markers Initiative (PPMI)

Subjects
Therapeutics. Pharmacology, RM1-950, Public aspects of medicine, RA1-1270
Abstract

The Critical Path for Parkinson's (CPP) Imaging Biomarker and Modeling and Simulation working groups aimed to achieve qualification opinion by the European Medicines Agency (EMA) Committee for Medical Products for Human Use (CHMP) for the use of baseline dopamine transporter neuroimaging for patient selection in early Parkinson's disease clinical trials. This paper describes the regulatory science strategy to achieve this goal. CPP is an international consortium of three Parkinson's charities and nine pharmaceutical partners, coordinated by the Critical Path Institute.

Published
2019
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6. Evaluation of dosing strategy for pembrolizumab for oncology indications

Author

Tomoko Freshwater, Anna Kondic, Malidi Ahamadi, Claire H. Li, Rik de Greef, Dinesh de Alwis, and Julie A. Stone

Subjects
Pembrolizumab, Fixed dose, Flat dose, Dosing strategy, Clinical dose, Exposure-response analysis, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Abstract Background Traditionally, most monoclonal antibodies (mAbs) have been dosed based on body weight because of perceived contribution of body size in pharmacokinetic variability. The same approach was used in the initial pembrolizumab studies; however, following availability of PK data, the need for weight-based dosing for pembrolizumab was reassessed. Methods A previously established population PK (popPK) model as well as exposure-response results from patients with advanced melanoma or non–small cell lung cancer (NSCLC) were used to evaluate the potential application of a fixed dosing regimen with the aim of maintaining pembrolizumab exposures within the range demonstrated to provide near maximal efficacy and acceptable safety. Individual PK exposures for the selected fixed dosing regimen from recently completed trials with head and neck cancer, NSCLC, microsatellite instability high (MSI-H) in colorectal cancer (CRC) and urothelial cancer were used to confirm acceptability. To determine whether fixed dosing would maintain exposures within the range of clinical experience, the individual AUC distributions with fixed dosing were compared with the range of exposures from the pembrolizumab doses that were evaluated in early studies (2 mg/kg Q3W, 10 mg/kg Q3W/Q2W). Results Body-weight dependence of clearance was characterized by a power relationship with an exponent of 0.578, a value consistent with fixed- and weight-based dosing providing similar control of PK variability. A fixed dose of 200 mg Q3W was investigated in trials based on predicted exposures maintained within the established exposure range in all patients. Mean (% CV, n) AUCss, 6-weeks was 1.87 (37%, 830), 1.38 (38%, 760) and 7.63 (35%, 1405) mg*day/mL in patients receiving 200 mg, 2 mg/kg and 10 mg/kg Q3W pembrolizumab. High-weight patients had the lowest exposures with 200 mg Q3W; however, exposures in this group (>90 kg) were within the range of prior clinical experience at 2 mg/kg Q3W associated with near maximal efficacy. Conclusions Doses of 200 mg and 2 mg/kg provide similar exposure distributions with no advantage to either dosing approach with respect to controlling PK variability. These findings suggest that weight-based and fixed-dose regimens are appropriate for pembrolizumab.

Published
2017
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7. Oncolytic Viral Kinetics Mechanistic Modeling of Talimogene Laherparepvec (IMLYGIC®) a First-in-Class Oncolytic Viral Therapy in patients with Advanced Melanoma

Author

Malidi Ahamadi, Johannes Kast, Po‐Wei Chen, Xiaojun Huang, Sandeep Dutta, and Vijay V. Upreti

Subjects
Modeling and Simulation, Pharmacology (medical)
Abstract

Talimogene Laherparepvec (T-VEC) is a first in class oncolytic virotherapy approved for the treatment of unresectable melanoma recurrent after initial surgery. Biodistribution data from phase 2 study was used to develop a viral kinetics mechanistic model describing the interaction between cytokines like granulocyte-macrophage colony-stimulating factor (GM-CSF), immune system and T-VEC treatment. Our analysis found 1) viral infection rate has great influence on T-VEC treatment efficacy, 2) an increase of T-VEC dose of 10

Published
2022

8. Development of a Disease Progression Model for Leucine‐Rich Repeat Kinase 2 in Parkinson's Disease to Inform Clinical Trial Designs

Author

Romeo Maciuca, Rachael A Lawson, Timothy Nicholas, David T. Dexter, Malidi Ahamadi, Chao Chen, David J. Burn, Kenneth Marek, Minhua Yang, Klaus Romero, Bob Stafford, Sreeraj Macha, Julie A. Stone, Diane Stephenson, Jackson Burton, Daniela J. Conrado, Vikram Sinha, Hans Smit, Massimo Bani, Mussie Akalu, Jill Gallagher, Babak Boroojerdi, Jonas Weidemann, and Charles S. Venuto

Subjects
Adult, Male, Research design, Oncology, medicine.medical_specialty, Parkinson's disease, Disease, Leucine-Rich Repeat Serine-Threonine Protein Kinase-2, 030226 pharmacology & pharmacy, Article, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, Humans, Medicine, Pharmacology (medical), Aged, Aged, 80 and over, Pharmacology, Clinical Trials as Topic, business.industry, Incidence (epidemiology), Parkinson Disease, Middle Aged, Models, Theoretical, medicine.disease, LRRK2, Clinical trial, Research Design, 030220 oncology & carcinogenesis, Concomitant, Mutation, Disease Progression, Female, business, Cohort study
Abstract

A quantitative assessment of Parkinson’s disease (PD) progression is critical for optimizing clinical trials design. Disease progression model was developed using pooled data from the Progression Marker Initiative study and the Incidence of Cognitive Impairment in Cohorts with Longitudinal Evaluation in Parkinson’s Disease study. Age, gender, concomitant medication, and study arms were predictors of baseline. A mutation in the leucine-rich repeat kinase 2 (LRRK2) encoding gene was associated with the disease progression rate. The progression rate in subjects with PD who carried LRRK2 mutation was slightly slower (~0.170 points/month) than that in PD subjects without the mutation (~0.222 points/month). For a non-enriched placebo-controlled clinical trial, approximately 70 subjects/arm would be required to detect a drug effect of 50% reduction in the progression rate with 80% probability. Whereas, 85, 93 and 100 subjects/arm would be required for an enriched clinical trial with 30%, 50% and 70% subjects with LRRK2 mutations, respectively.

Published
2019
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9. Performance of longitudinal item response theory models in shortened or partial assessments

Author

Sebastian Ueckert, Sreeraj Macha, Leticia Arrington, Malidi Ahamadi, and Mats O. Karlsson

Subjects
Composite score, Motor Activity, Models, Biological, Severity of Illness Index, 030226 pharmacology & pharmacy, behavioral disciplines and activities, Item response theory, Antiparkinson Agents, 03 medical and health sciences, Pharmaceutical Sciences, 0302 clinical medicine, Pharmacometrics, Statistics, Humans, Computer Simulation, Longitudinal Studies, Drug effect, Mathematics, Pharmacology, Original Paper, Disease progression, Contrast (statistics), Parkinson Disease, Farmaceutiska vetenskaper, Treatment Outcome, Information function, Simulated data, Disease Progression, Item information, Metric (unit), Drug Monitoring, 030217 neurology & neurosurgery
Abstract

This work evaluates the performance of longitudinal item response (IR) theory models in shortened assessments using an existing model for part II and III of the MDS-UPDRS score. Based on the item information content, the assessment was reduced by removal of items in multiple increments and the models’ ability to recover the item characteristics of the remaining items at each level was evaluated. This evaluation was done for both simulated and real data. The metric of comparison in both cases was the item information function. For real data, the impact of shortening on the estimated disease progression and drug effect was also studied. In the simulated data setting, the item characteristics did not differ between the full and the shortened assessments down to the lowest level of information remaining; indicating a considerable independence between items. In contrast when reducing the assessment in a real data setting, a substantial change in item information was observed for some of the items. Disease progression and drug effect estimates also decreased in the reduced assessments. These changes indicate a shift in the measured construct of the shortened assessment and warrant caution when comparing results from a partial assessment with results from the full assessment. Electronic supplementary material The online version of this article (10.1007/s10928-020-09697-x) contains supplementary material, which is available to authorized users.

Published
2020

10. Population pharmacokinetics of orally administrated bromopride: Focus on the absorption process

Author

Gustavo Mendes Lima Santos, Elza Kimura, Marcos Luciano Bruschi, Malidi Ahamadi, Bibiana Verlindo de Araújo, Larissa Lachi-Silva, Aline Bergesch Barth, and Andréa Diniz

Subjects
Adult, Male, medicine.drug_class, Metoclopramide, Pharmaceutical Science, Administration, Oral, Biological Availability, 02 engineering and technology, Absorption (skin), Population pharmacokinetics, Pharmacology, Bioequivalence, 030226 pharmacology & pharmacy, Dosage form, 03 medical and health sciences, 0302 clinical medicine, Pharmacokinetics, Bromopride, medicine, Antiemetic, Humans, Retrospective Studies, Volume of distribution, business.industry, 021001 nanoscience & nanotechnology, Kinetics, Gastrointestinal Absorption, Antiemetics, Female, 0210 nano-technology, business, Brazil, medicine.drug
Abstract

Bromopride is a prokinetic and antiemetic drug used to treat nausea and vomiting. Although its prescription is common in Brazil, there is a lack of studies about bromopride pharmacokinetics. Therefore, the aims of this study were to investigate the population pharmacokinetics of bromopride and to evaluate the influence of covariates on its absorption. This study is a retrospective analysis of data collected from bioequivalence studies. The data was modeled using MONOLIX 2018R2. Assuming one-compartment and linear elimination, the absorption phase was evaluated with different structural models. The model of sequential first- and zero-order with combined error and exponential inter-individual variability in all parameters best described the atypical absorption profile of bromopride. Population estimates were first-order absorption rate (ka) of 0.08 h − 1, fraction of dose absorbed by first-order (Fr) of 32.60%, duration of the zero-order absorption (Tk0) of 0.88 h with latency time (Tlag) of 0.47 h, volume of distribution of 230 l and clearance of 46.80 l h − 1. Bodyweight affects Tk0, dosage form was found to correlate with Tk0 and Tlag, while gender affects Tlag. However, simulations evaluating the clinical importance of these covariates on steady-state indicated minimal changes on bromopride exposure. The mixed absorption model was reasonable to describe the absorption process of bromopride because it had the flexibility to fit multiple-peaks profile and shows good agreement with physicochemical properties of drug.

Published
2019

11. Model-Based Characterization of the Pharmacokinetics of Pembrolizumab: A Humanized Anti-PD-1 Monoclonal Antibody in Advanced Solid Tumors

Author

Marita Prohn, Tomoko Freshwater, Anna Georgieva Kondic, Claire Li, Jeroen Elassaiss-Schaap, Julie A. Stone, R de Greef, Malidi Ahamadi, and Dinesh P. de Alwis

Subjects
0301 basic medicine, Volume of distribution, Oncology, medicine.medical_specialty, education.field_of_study, business.industry, Population, Ipilimumab, Pembrolizumab, Pharmacology, Clinical trial, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, Pharmacokinetics, 030220 oncology & carcinogenesis, Modeling and Simulation, Internal medicine, Monoclonal, medicine, Pharmacology (medical), Clinical significance, business, education, medicine.drug
Abstract

Pembrolizumab, a potent antibody against programmed death 1 (PD-1) receptor, has shown robust antitumor activity and manageable safety in patients with advanced solid tumors. Its pharmacokinetic (PK) properties were analyzed with population PK modeling using pooled data from the KEYNOTE-001, -002, and -006 studies of patients with advanced melanoma, non-small cell lung cancer (NSCLC), and other solid tumor types. Pembrolizumab clearance was low and the volume of distribution small, as is typical for therapeutic antibodies. Identified effects of sex, baseline Eastern Cooperative Oncology Group performance status, measures of renal and hepatic function, tumor type and burden, and prior ipilimumab treatment on pembrolizumab exposure were modest and lacked clinical significance. Furthermore, simulations demonstrated the model has robust power to detect clinically relevant covariate effects on clearance. These results support the use of the approved pembrolizumab dose of 2 mg/kg every 3 weeks without dose adjustment in a variety of patient subpopulations.

Published
2016
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12. Pembrolizumab: Role of Modeling and Simulation in Bringing a Novel Immunotherapy to Patients With Melanoma

Author

Mark S. Forman, Anna Georgieva Kondic, Manash Shankar Chatterjee, Dinesh P. de Alwis, R de Greef, Julie A. Stone, David C. Turner, D Cutler, Malidi Ahamadi, and Jeroen Elassaiss-Schaap

Subjects
0301 basic medicine, Oncology, medicine.medical_specialty, business.industry, medicine.medical_treatment, Melanoma, Cancer, Pembrolizumab, Immunotherapy, Pharmacology, medicine.disease, Clinical trial, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, 030220 oncology & carcinogenesis, Modeling and Simulation, Maximum tolerated dose, Internal medicine, medicine, Pharmacology (medical), business, Melanoma diagnosis
Abstract

Recently, immunotherapy has yielded promising results in several cancer types. Contrary to the established classical chemotherapy-dosing paradigm, a maximum tolerated dose approach does not always produce better clinical outcomes for novel targeted therapies, as their efficacy is frequently robust at pharmacologically active doses below the maximum tolerated dose. Integrated safety and efficacy assessments are needed to inform clinical dose and trial design, and to support an early identification of potentially safe and efficacious combination treatments.

Published
2016
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13. 31st Annual Meeting and Associated Programs of the Society for Immunotherapy of Cancer (SITC 2016): part two

Author

Casey Ager, Matthew Reilley, Courtney Nicholas, Todd Bartkowiak, Ashvin Jaiswal, Michael Curran, Tina C. Albershardt, Anshika Bajaj, Jacob F. Archer, Rebecca S. Reeves, Lisa Y. Ngo, Peter Berglund, Jan ter Meulen, Caroline Denis, Hormas Ghadially, Thomas Arnoux, Fabien Chanuc, Nicolas Fuseri, Robert W. Wilkinson, Nicolai Wagtmann, Yannis Morel, Pascale Andre, Michael B. Atkins, Matteo S. Carlino, Antoni Ribas, John A. Thompson, Toni K. Choueiri, F. Stephen Hodi, Wen-Jen Hwu, David F. McDermott, Victoria Atkinson, Jonathan S. Cebon, Bernie Fitzharris, Michael B. Jameson, Catriona McNeil, Andrew G. Hill, Eric Mangin, Malidi Ahamadi, Marianne van Vugt, Mariëlle van Zutphen, Nageatte Ibrahim, Georgina V. Long, Robyn Gartrell, Zoe Blake, Ines Simoes, Yichun Fu, Takuro Saito, Yingzhi Qian, Yan Lu, Yvonne M. Saenger, Sadna Budhu, Olivier De Henau, Roberta Zappasodi, Kyle Schlunegger, Bruce Freimark, Jeff Hutchins, Christopher A. Barker, Jedd D. Wolchok, Taha Merghoub, Elena Burova, Omaira Allbritton, Peter Hong, Jie Dai, Jerry Pei, Matt Liu, Joel Kantrowitz, Venus Lai, William Poueymirou, Douglas MacDonald, Ella Ioffe, Markus Mohrs, William Olson, Gavin Thurston, Cristian Capasso, Federica Frascaro, Sara Carpi, Siri Tähtinen, Sara Feola, Manlio Fusciello, Karita Peltonen, Beatriz Martins, Madeleine Sjöberg, Sari Pesonen, Tuuli Ranki, Lukasz Kyruk, Erkko Ylösmäki, Vincenzo Cerullo, Fabio Cerignoli, Biao Xi, Garret Guenther, Naichen Yu, Lincoln Muir, Leyna Zhao, Yama Abassi, Víctor Cervera-Carrascón, Mikko Siurala, João Santos, Riikka Havunen, Suvi Parviainen, Akseli Hemminki, Angus Dalgleish, Satvinder Mudan, Mark DeBenedette, Ana Plachco, Alicia Gamble, Elizabeth W. Grogan, John Krisko, Irina Tcherepanova, Charles Nicolette, Pooja Dhupkar, Ling Yu, Eugenie S. Kleinerman, Nancy Gordon, Italia Grenga, Lauren Lepone, Sofia Gameiro, Karin M. Knudson, Massimo Fantini, Kwong Tsang, James Hodge, Renee Donahue, Jeffrey Schlom, Elizabeth Evans, Holm Bussler, Crystal Mallow, Christine Reilly, Sebold Torno, Maria Scrivens, Cathie Foster, Alan Howell, Leslie Balch, Alyssa Knapp, John E. Leonard, Mark Paris, Terry Fisher, Siwen Hu-Lieskovan, Ernest Smith, Maurice Zauderer, William Fogler, Marilyn Franklin, Matt Thayer, Dan Saims, John L. Magnani, Jian Gong, Michael Gray, George Fromm, Suresh de Silva, Louise Giffin, Xin Xu, Jason Rose, Taylor H. Schreiber, Sofia R. Gameiro, Paul E. Clavijo, Clint T. Allen, James W. Hodge, Kwong Y. Tsang, Jane Grogan, Nicholas Manieri, Eugene Chiang, Patrick Caplazi, Mahesh Yadav, Patrick Hagner, Hsiling Chiu, Michelle Waldman, Anke Klippel, Anjan Thakurta, Michael Pourdehnad, Anita Gandhi, Ian Henrich, Laura Quick, Rob Young, Margaret Chou, Andrew Hotson, Stephen Willingham, Po Ho, Carmen Choy, Ginna Laport, Ian McCaffery, Richard Miller, Kimberly A. Tipton, Kenneth R. Wong, Victoria Singson, Chihunt Wong, Chanty Chan, Yuanhiu Huang, Shouchun Liu, Jennifer H. Richardson, W. Michael Kavanaugh, James West, Bryan A. Irving, Ritika Jaini, Matthew Loya, Charis Eng, Melissa L. Johnson, Alex A. Adjei, Mateusz Opyrchal, Suresh Ramalingam, Pasi A. Janne, George Dominguez, Dmitry Gabrilovich, Laura de Leon, Jeannette Hasapidis, Scott J. Diede, Peter Ordentlich, Scott Cruickshank, Michael L. Meyers, Matthew D. Hellmann, Pawel Kalinski, Amer Zureikat, Robert Edwards, Ravi Muthuswamy, Nataša Obermajer, Julie Urban, Lisa H. Butterfield, William Gooding, Herbert Zeh, David Bartlett, Olga Zubkova, Larissa Agapova, Marina Kapralova, Liudmila Krasovskaia, Armen Ovsepyan, Maxim Lykov, Artem Eremeev, Vladimir Bokovanov, Olga Grigoryeva, Andrey Karpov, Sergey Ruchko, Alexandr Shuster, Danny N. Khalil, Luis Felipe Campesato, Yanyun Li, Adam S. Lazorchak, Troy D. Patterson, Yueyun Ding, Pottayil Sasikumar, Naremaddepalli Sudarshan, Nagaraj Gowda, Raghuveer Ramachandra, Dodheri Samiulla, Sanjeev Giri, Rajesh Eswarappa, Murali Ramachandra, David Tuck, Timothy Wyant, Jasmin Leshem, Xiu-fen Liu, Tapan Bera, Masaki Terabe, Birgit Bossenmaier, Gerhard Niederfellner, Yoram Reiter, Ira Pastan, Leiming Xia, Yang Xia, Yangyang Hu, Yi Wang, Yangyi Bao, Fu Dai, Shiang Huang, Elaine Hurt, Robert E. Hollingsworth, Lawrence G. Lum, Alfred E. Chang, Max S. Wicha, Qiao Li, Thomas Mace, Neil Makhijani, Erin Talbert, Gregory Young, Denis Guttridge, Darwin Conwell, Gregory B. Lesinski, Rodney JM Macedo Gonzales, Austin P. Huffman, Ximi K. Wang, Ran Reshef, Andy MacKinnon, Jason Chen, Matt Gross, Gisele Marguier, Peter Shwonek, Natalija Sotirovska, Susanne Steggerda, Francesco Parlati, Amani Makkouk, Mark K. Bennett, Ethan Emberley, Tony Huang, Weiqun Li, Silinda Neou, Alison Pan, Jing Zhang, Winter Zhang, Netonia Marshall, Thomas U. Marron, Judith Agudo, Brian Brown, Joshua Brody, Christopher McQuinn, Matthew Farren, Hannah Komar, Reena Shakya, Thomas Ludwug, Y. Maurice Morillon, Scott A. Hammond, John W. Greiner, Pulak R. Nath, Anthony L. Schwartz, Dragan Maric, David D. Roberts, Aung Naing, Kyriakos P. Papadopoulos, Karen A. Autio, Deborah J. Wong, Manish Patel, Gerald Falchook, Shubham Pant, Patrick A. Ott, Melinda Whiteside, Amita Patnaik, John Mumm, Filip Janku, Ivan Chan, Todd Bauer, Rivka Colen, Peter VanVlasselaer, Gail L. Brown, Nizar M. Tannir, Martin Oft, Jeffrey Infante, Evan Lipson, Ajay Gopal, Sattva S. Neelapu, Philippe Armand, Stephen Spurgeon, John P. Leonard, Rachel E. Sanborn, Ignacio Melero, Thomas F. Gajewski, Matthew Maurer, Serena Perna, Andres A. Gutierrez, Raphael Clynes, Priyam Mitra, Satyendra Suryawanshi, Douglas Gladstone, Margaret K. Callahan, James Crooks, Sheila Brown, Audrey Gauthier, Marc Hillairet de Boisferon, Andrew MacDonald, Laura Rosa Brunet, William T. Rothwell, Peter Bell, James M. Wilson, Fumi Sato-Kaneko, Shiyin Yao, Shannon S. Zhang, Dennis A. Carson, Cristina Guiducci, Robert L. Coffman, Kazutaka Kitaura, Takaji Matsutani, Ryuji Suzuki, Tomoko Hayashi, Ezra E. W. Cohen, David Schaer, Yanxia Li, Julie Dobkin, Michael Amatulli, Gerald Hall, Thompson Doman, Jason Manro, Frank Charles Dorsey, Lillian Sams, Rikke Holmgaard, Krishnadatt Persaud, Dale Ludwig, David Surguladze, John S. Kauh, Ruslan Novosiadly, Michael Kalos, Kyla Driscoll, Hardev Pandha, Christy Ralph, Kevin Harrington, Brendan Curti, Wallace Akerley, Sumati Gupta, Alan Melcher, David Mansfield, David R. Kaufman, Emmett Schmidt, Mark Grose, Bronwyn Davies, Roberta Karpathy, Darren Shafren, Katerina Shamalov, Cyrille Cohen, Naveen Sharma, James Allison, Tala Shekarian, Sandrine Valsesia-Wittmann, Christophe Caux, Aurelien Marabelle, Brian M. Slomovitz, Kathleen M. Moore, Hagop Youssoufian, Marshall Posner, Poonam Tewary, Alan D. Brooks, Ya-Ming Xu, Kithsiri Wijeratne, Leslie A. A. Gunatilaka, Thomas J. Sayers, John P. Vasilakos, Tesha Alston, Simon Dovedi, James Elvecrog, Iwen Grigsby, Ronald Herbst, Karen Johnson, Craig Moeckly, Stefanie Mullins, Kristen Siebenaler, Julius SternJohn, Ashenafi Tilahun, Mark A. Tomai, Katharina Vogel, Eveline E. Vietsch, Anton Wellstein, Martin Wythes, Stefano Crosignani, Joseph Tumang, Shilpa Alekar, Patrick Bingham, Sandra Cauwenberghs, Jenny Chaplin, Deepak Dalvie, Sofie Denies, Coraline De Maeseneire, JunLi Feng, Kim Frederix, Samantha Greasley, Jie Guo, James Hardwick, Stephen Kaiser, Katti Jessen, Erick Kindt, Marie-Claire Letellier, Wenlin Li, Karen Maegley, Reece Marillier, Nichol Miller, Brion Murray, Romain Pirson, Julie Preillon, Virginie Rabolli, Chad Ray, Kevin Ryan, Stephanie Scales, Jay Srirangam, Jim Solowiej, Al Stewart, Nicole Streiner, Vince Torti, Konstantinos Tsaparikos, Xianxian Zheng, Gregory Driessens, Bruno Gomes, Manfred Kraus, Chunxiao Xu, Yanping Zhang, Giorgio Kradjian, Guozhong Qin, Jin Qi, Xiaomei Xu, Bo Marelli, Huakui Yu, Wilson Guzman, Rober Tighe, Rachel Salazar, Kin-Ming Lo, Jessie English, Laszlo Radvanyi, Yan Lan, Michael Postow, Yasin Senbabaoglu, Billel Gasmi, Hong Zhong, Cailian Liu, Daniel Hirschhorhn-Cymerman, Yuanyuan Zha, Gregory Malnassy, Noreen Fulton, Jae-Hyun Park, Wendy Stock, Yusuke Nakamura, Hongtao Liu, Xiaoming Ju, Rachelle Kosoff, Kimberly Ramos, Brandon Coder, Robert Petit, Michael Princiotta, Kyle Perry, Jun Zou, Ainhoa Arina, Christian Fernandez, Wenxin Zheng, Michael A. Beckett, Helena J. Mauceri, Yang-Xin Fu, Ralph R. Weichselbaum, Whitney Lewis, Yanyan Han, Yeting Wu, Chou Yang, Jing Huang, Dongyun Wu, Jin Li, Xiaoling Liang, Xiangjun Zhou, Jinlin Hou, Raffit Hassan, Thierry Jahan, Scott J. Antonia, Hedy L. Kindler, Evan W. Alley, Somayeh Honarmand, Weiqun Liu, Meredith L. Leong, Chan C. Whiting, Nitya Nair, Amanda Enstrom, Edward E. Lemmens, Takahiro Tsujikawa, Sushil Kumar, Lisa M. Coussens, Aimee L. Murphy, Dirk G. Brockstedt, Sven D. Koch, Martin Sebastian, Christian Weiss, Martin Früh, Miklos Pless, Richard Cathomas, Wolfgang Hilbe, Georg Pall, Thomas Wehler, Jürgen Alt, Helge Bischoff, Michael Geissler, Frank Griesinger, Jens Kollmeier, Alexandros Papachristofilou, Fatma Doener, Mariola Fotin-Mleczek, Madeleine Hipp, Henoch S. Hong, Karl-Josef Kallen, Ute Klinkhardt, Claudia Stosnach, Birgit Scheel, Andreas Schroeder, Tobias Seibel, Ulrike Gnad-Vogt, Alfred Zippelius, Ha-Ram Park, Yong-Oon Ahn, Tae Min Kim, Soyeon Kim, Seulki Kim, Yu Soo Lee, Bhumsuk Keam, Dong-Wan Kim, Dae Seog Heo, Shari Pilon-Thomas, Amy Weber, Jennifer Morse, Krithika Kodumudi, Hao Liu, John Mullinax, Amod A. Sarnaik, Luke Pike, Andrew Bang, Tracy Balboni, Allison Taylor, Alexander Spektor, Tyler Wilhite, Monica Krishnan, Daniel Cagney, Brian Alexander, Ayal Aizer, Elizabeth Buchbinder, Mark Awad, Leena Ghandi, Jonathan Schoenfeld, Elizabeth Lessey-Morillon, Lisa Ridnour, Neil H. Segal, Manish Sharma, Dung T. Le, Robert L. Ferris, Andrew D. Zelenetz, Ronald Levy, Izidore S. Lossos, Caron Jacobson, Radhakrishnan Ramchandren, John Godwin, A. Dimitrios Colevas, Roland Meier, Suba Krishnan, Xuemin Gu, Jaclyn Neely, John Timmerman, Claire I. Vanpouille-Box, Silvia C. Formenti, Sandra Demaria, Erik Wennerberg, Aranzazu Mediero, Bruce N. Cronstein, Michael P. Gustafson, AriCeli DiCostanzo, Courtney Wheatley, Chul-Ho Kim, Svetlana Bornschlegl, Dennis A. Gastineau, Bruce D. Johnson, Allan B. Dietz, Cameron MacDonald, Mark Bucsek, Guanxi Qiao, Bonnie Hylander, Elizabeth Repasky, William J. Turbitt, Yitong Xu, Andrea Mastro, Connie J. Rogers, Sita Withers, Ziming Wang, Lam T. Khuat, Cordelia Dunai, Bruce R. Blazar, Dan Longo, Robert Rebhun, Steven K. Grossenbacher, Arta Monjazeb, William J. Murphy, Scott Rowlinson, Giulia Agnello, Susan Alters, David Lowe, Nicole Scharping, Ashley V. Menk, Ryan Whetstone, Xue Zeng, Greg M. Delgoffe, Patricia M. Santos, Jian Shi, Greg Delgoffe, Misako Nagasaka, Ammar Sukari, Miranda Byrne-Steele, Wenjing Pan, Xiaohong Hou, Brittany Brown, Mary Eisenhower, Jian Han, Natalie Collins, Robert Manguso, Hans Pope, Yashaswi Shrestha, Jesse Boehm, W. Nicholas Haining, Kyle R. Cron, Ayelet Sivan, Keston Aquino-Michaels, Marco Orecchioni, Davide Bedognetti, Wouter Hendrickx, Claudia Fuoco, Filomena Spada, Francesco Sgarrella, Gianni Cesareni, Francesco Marincola, Kostas Kostarelos, Alberto Bianco, Lucia Delogu, Jessica Roelands, Sabri Boughorbel, Julie Decock, Scott Presnell, Ena Wang, Franco M. Marincola, Peter Kuppen, Michele Ceccarelli, Darawan Rinchai, Damien Chaussabel, Lance Miller, Andrew Nguyen, J. Zachary Sanborn, Charles Vaske, Shahrooz Rabizadeh, Kayvan Niazi, Steven Benz, Shashank Patel, Nicholas Restifo, James White, Sam Angiuoli, Mark Sausen, Sian Jones, Maria Sevdali, John Simmons, Victor Velculescu, Luis Diaz, Theresa Zhang, Jennifer S. Sims, Sunjay M. Barton, Angela Kadenhe-Chiweshe, Filemon Dela Cruz, Andrew T. Turk, Christopher F. Mazzeo, Andrew L. Kung, Jeffrey N. Bruce, Darrell J. Yamashiro, Eileen P. Connolly, Jason Baird, Marka Crittenden, David Friedman, Hong Xiao, Rom Leidner, Bryan Bell, Kristina Young, Michael Gough, Zhen Bian, Koby Kidder, Yuan Liu, Emily Curran, Xiufen Chen, Leticia P. Corrales, Justin Kline, Ethan G. Aguilar, Jennifer Guerriero, Alaba Sotayo, Holly Ponichtera, Alexandra Pourzia, Sara Schad, Ruben Carrasco, Suzan Lazo, Roderick Bronson, Anthony Letai, Richard S. Kornbluth, Sachin Gupta, James Termini, Elizabeth Guirado, Geoffrey W. Stone, Christina Meyer, Laura Helming, Nicholas Wilson, Robert Hofmeister, Natalie J. Neubert, Laure Tillé, David Barras, Charlotte Soneson, Petra Baumgaertner, Donata Rimoldi, David Gfeller, Mauro Delorenzi, Silvia A. Fuertes Marraco, Daniel E. Speiser, Tara S. Abraham, Bo Xiang, Michael S. Magee, Scott A. Waldman, Adam E. Snook, Wojciech Blogowski, Ewa Zuba-Surma, Marta Budkowska, Daria Salata, Barbara Dolegowska, Teresa Starzynska, Leo Chan, Srinivas Somanchi, Kelsey McCulley, Dean Lee, Nico Buettner, Feng Shi, Paisley T. Myers, Stuart Curbishley, Sarah A. Penny, Lora Steadman, David Millar, Ellen Speers, Nicola Ruth, Gabriel Wong, Robert Thimme, David Adams, Mark Cobbold, Remy Thomas, Mariam Al-Muftah, Michael KK Wong, Michael Morse, Joseph I. Clark, Howard L. Kaufman, Gregory A. Daniels, Hong Hua, Tharak Rao, Janice P. Dutcher, Kai Kang, Yogen Saunthararajah, Vamsidhar Velcheti, Vikas Kumar, Firoz Anwar, Amita Verma, Zinal Chheda, Gary Kohanbash, John Sidney, Kaori Okada, Shruti Shrivastav, Diego A. Carrera, Shuming Liu, Naznin Jahan, Sabine Mueller, Ian F. Pollack, Angel M. Carcaboso, Alessandro Sette, Yafei Hou, Hideho Okada, Jessica J. Field, Weiping Zeng, Vincent FS Shih, Che-Leung Law, Peter D. Senter, Shyra J. Gardai, Nicole M. Okeley, Jennifer G. Abelin, Abu Z. Saeed, Stacy A. Malaker, Jeffrey Shabanowitz, Stephen T. Ward, Donald F. Hunt, Pam Profusek, Laura Wood, Dale Shepard, Petros Grivas, Kerstin Kapp, Barbara Volz, Detlef Oswald, Burghardt Wittig, Manuel Schmidt, Julian P. Sefrin, Lars Hillringhaus, Valeria Lifke, Alexander Lifke, Anna Skaletskaya, Jose Ponte, Thomas Chittenden, Yulius Setiady, Eva Sivado, Vincent Thomas, Meddy El Alaoui, Sébastien Papot, Charles Dumontet, Mike Dyson, John McCafferty, Said El Alaoui, Praveen K. Bommareddy, Andrew Zloza, Frederick Kohlhapp, Ann W. Silk, Sachin Jhawar, Tomas Paneque, Jenna Newman, Pedro Beltran, Felicia Cao, Bang-Xing Hong, Tania Rodriguez-Cruz, Xiao-Tong Song, Stephen Gottschalk, Hugo Calderon, Sam Illingworth, Alice Brown, Kerry Fisher, Len Seymour, Brian Champion, Emma Eriksson, Jessica Wenthe, Ann-Charlotte Hellström, Gabriella Paul-Wetterberg, Angelica Loskog, Ioanna Milenova, Magnus Ståhle, Justyna Jarblad-Leja, Gustav Ullenhag, Anna Dimberg, Rafael Moreno, Ramon Alemany, Sharad Goyal, Ann Silk, Janice Mehnert, Nashat Gabrail, Jennifer Bryan, Daniel Medina, Leah Mitchell, Kader Yagiz, Fernando Lopez, Daniel Mendoza, Anthony Munday, Harry Gruber, Douglas Jolly, Steven Fuhrmann, Sasa Radoja, Wei Tan, Aldo Pourchet, Alan Frey, Ian Mohr, Matthew Mulvey, Robert H. I. Andtbacka, Merrick Ross, Sanjiv Agarwala, Kenneth Grossmann, Matthew Taylor, John Vetto, Rogerio Neves, Adil Daud, Hung Khong, Stephanie M. Meek, Richard Ungerleider, Scott Welden, Maki Tanaka, Matthew Williams, Sigrun Hallmeyer, Bernard Fox, Zipei Feng, Christopher Paustian, Carlo Bifulco, Sadia Zafar, Otto Hemminki, Simona Bramante, Lotta Vassilev, Hongjie Wang, Andre Lieber, Silvio Hemmi, Tanja de Gruijl, Anna Kanerva, Tameem Ansari, Srividya Sundararaman, Diana Roen, Paul Lehmann, Anja C. Bloom, Lewis H. Bender, Ian B. Walters, Jay A. Berzofsky, Fanny Chapelin, Eric T. Ahrens, Jeff DeFalco, Michael Harbell, Amy Manning-Bog, Alexander Scholz, Danhui Zhang, Gilson Baia, Yann Chong Tan, Jeremy Sokolove, Dongkyoon Kim, Kevin Williamson, Xiaomu Chen, Jillian Colrain, Gregg Espiritu Santo, Ngan Nguyen, Wayne Volkmuth, Norman Greenberg, William Robinson, Daniel Emerling, Charles G. Drake, Daniel P. Petrylak, Emmanuel S. Antonarakis, Adam S. Kibel, Nancy N. Chang, Tuyen Vu, Dwayne Campogan, Heather Haynes, James B. Trager, Nadeem A. Sheikh, David I. Quinn, Peter Kirk, Murali Addepalli, Thomas Chang, Ping Zhang, Marina Konakova, Katsunobu Hagihara, Steven Pai, Laurie VanderVeen, Palakshi Obalapur, Peiwen Kuo, Phi Quach, Lawrence Fong, Deborah H. Charych, Jonathan Zalevsky, John L. Langowski, Yolanda Kirksey, Ravi Nutakki, Shalini Kolarkar, Rhoneil Pena, Ute Hoch, Stephen K. Doberstein, John Cha, Zach Mallon, Myra Perez, Amanda McDaniel, Snjezana Anand, Darrin Uecker, Richard Nuccitelli, Eva Wieckowski, Ravikumar Muthuswamy, Roshni Ravindranathan, Ariana N. Renrick, Menaka Thounaojam, Portia Thomas, Samuel Pellom, Anil Shanker, Duafalia Dudimah, Alan Brooks, Yu-Lin Su, Tomasz Adamus, Qifang Zhang, Sergey Nechaev, Marcin Kortylewski, Spencer Wei, Clark Anderson, Chad Tang, Jonathan Schoenhals, Efrosini Tsouko, John Heymach, Patricia de Groot, Joe Chang, Kenneth R. Hess, Adi Diab, Padmanee Sharma, David Hong, James Welsh, Andrea J. Parsons, Jardin Leleux, Stephane Ascarateil, Marie Eve Koziol, Dina Bai, Peihong Dai, Weiyi Wang, Ning Yang, Stewart Shuman, Liang Deng, Patrick Dillon, Gina Petroni, David Brenin, Kim Bullock, Walter Olson, Mark E. Smolkin, Kelly Smith, Carmel Nail, Craig L. Slingluff, Meenu Sharma, Faisal Fa’ak, Louise Janssen, Hiep Khong, Zhilan Xiao, Yared Hailemichael, Manisha Singh, Christina Vianden, Willem W. Overwijk, Andrea Facciabene, Pierini Stefano, Fang Chongyung, Stavros Rafail, Michael Nielsen, Peter Vanderslice, Darren G. Woodside, Robert V. Market, Ronald J. Biediger, Upendra K. Marathi, Kevin Hollevoet, Nick Geukens, Paul Declerck, Nathalie Joly, Laura McIntosh, Eustache Paramithiotis, Magnus Rizell, Malin Sternby, Bengt Andersson, Alex Karlsson-Parra, Rui Kuai, Lukasz Ochyl, Anna Schwendeman, James Moon, Weiwen Deng, Thomas E. Hudson, Bill Hanson, Chris S. Rae, Joel Burrill, Justin Skoble, George Katibah, Michele deVries, Peter Lauer, Thomas W. Dubensky, Xin Chen, Li Zhou, Xiubao Ren, Charu Aggarwal, Drishty Mangrolia, Roger Cohen, Gregory Weinstein, Matthew Morrow, Joshua Bauml, Kim Kraynyak, Jean Boyer, Jian Yan, Jessica Lee, Laurent Humeau, Sandra Oyola, Susan Duff, David Weiner, Zane Yang, Mark Bagarazzi, Douglas G. McNeel, Jens Eickhoff, Robert Jeraj, Mary Jane Staab, Jane Straus, Brian Rekoske, Glenn Liu, Marit Melssen, William Grosh, Nikole Varhegyi, Nadejda Galeassi, Donna H. Deacon, Elizabeth Gaughan, Maurizio Ghisoli, Minal Barve, Robert Mennel, Gladice Wallraven, Luisa Manning, Neil Senzer, John Nemunaitis, Masahiro Ogasawara, Shuichi Ota, Kaitlin M. Peace, Diane F. Hale, Timothy J. Vreeland, Doreen O. Jackson, John S. Berry, Alfred F. Trappey, Garth S. Herbert, Guy T. Clifton, Mark O. Hardin, Anne Toms, Na Qiao, Jennifer Litton, George E. Peoples, Elizabeth A. Mittendorf, Lila Ghamsari, Emilio Flano, Judy Jacques, Biao Liu, Jonathan Havel, Vladimir Makarov, Timothy A. Chan, Jessica B. Flechtner, John Facciponte, Stefano Ugel, Francesco De Sanctis, George Coukos, Sébastien Paris, Agnes Pottier, Laurent Levy, Bo Lu, Federica Cappuccini, Emily Pollock, Richard Bryant, Freddie Hamdy, Adrian Hill, Irina Redchenko, Hussein Sultan, Takumi Kumai, Valentyna Fesenkova, Esteban Celis, Ingrid Fernando, Claudia Palena, Justin M. David, Elizabeth Gabitzsch, Frank Jones, James L. Gulley, Mireia Uribe Herranz, Hiroshi Wada, Atsushi Shimizu, Toshihiro Osada, Satoshi Fukaya, Eiji Sasaki, Milad Abolhalaj, David Askmyr, Kristina Lundberg, Ann-Sofie Albrekt, Lennart Greiff, Malin Lindstedt, Dallas B. Flies, Tomoe Higuchi, Wojciech Ornatowski, Jaryse Harris, Sarah F. Adams, Todd Aguilera, Marjan Rafat, Laura Castellini, Hussein Shehade, Mihalis Kariolis, Dadi Jang, Rie vonEbyen, Edward Graves, Lesley Ellies, Erinn Rankin, Albert Koong, Amato Giaccia, Reham Ajina, Shangzi Wang, Jill Smith, Mariaelena Pierobon, Sandra Jablonski, Emanuel Petricoin, Louis M. Weiner, Lorcan Sherry, John Waller, Mark Anderson, Alison Bigley, Chantale Bernatchez, Cara Haymaker, Harriet Kluger, Michael Tetzlaff, Natalie Jackson, Ivan Gergel, Mary Tagliaferri, Patrick Hwu, Mario Snzol, Michael Hurwitz, Theresa Barberi, Allison Martin, Rahul Suresh, David Barakat, Sarah Harris-Bookman, Charles Drake, Alan Friedman, Sara Berkey, Stephanie Downs-Canner, Robert P. Edwards, Tyler Curiel, Kunle Odunsi, Tullia C. Bruno, Brandon Moore, Olivia Squalls, Peggy Ebner, Katherine Waugh, John Mitchell, Wilbur Franklin, Daniel Merrick, Martin McCarter, Brent Palmer, Jeffrey Kern, Dario Vignali, Jill Slansky, Anissa S. H. Chan, Xiaohong Qiu, Kathryn Fraser, Adria Jonas, Nadine Ottoson, Keith Gordon, Takashi O. Kangas, Steven Leonardo, Kathleen Ertelt, Richard Walsh, Mark Uhlik, Jeremy Graff, Nandita Bose, Ravi Gupta, Nitin Mandloi, Kiran Paul, Ashwini Patil, Rekha Sathian, Aparna Mohan, Malini Manoharan, Amitabha Chaudhuri, Yu Chen, Jing Lin, Yun-bin Ye, Chun-wei Xu, Gang Chen, Zeng-qing Guo, Andrey Komarov, Alex Chenchik, Michael Makhanov, Costa Frangou, Yi Zheng, Carla Coltharp, Darryn Unfricht, Ryan Dilworth, Leticia Fridman, Linying Liu, Milind Rajopadhye, Peter Miller, Fernando Concha-Benavente, Julie Bauman, Sumita Trivedi, Raghvendra Srivastava, James Ohr, Dwight Heron, Uma Duvvuri, Seungwon Kim, Heather Torrey, Toshi Mera, Yoshiaki Okubo, Eva Vanamee, Rosemary Foster, Denise Faustman, Edward Stack, Daisuke Izaki, Kristen Beck, Dan Tong Jia, Paul Armenta, Ashley White-Stern, Douglas Marks, Bret Taback, Basil Horst, Laura Hix Glickman, David B. Kanne, Kelsey S. Gauthier, Anthony L. Desbien, Brian Francica, Justin L. Leong, Leonard Sung, Ken Metchette, Shailaja Kasibhatla, Anne Marie Pferdekamper, Lianxing Zheng, Charles Cho, Yan Feng, Jeffery M. McKenna, John Tallarico, Steven Bender, Chudi Ndubaku, Sarah M. McWhirter, Elena Gonzalez Gugel, Charles J. M. Bell, Adiel Munk, Luciana Muniz, Nina Bhardwaj, Fei Zhao, Kathy Evans, Christine Xiao, Alisha Holtzhausen, Brent A. Hanks, Nathalie Scholler, Catherine Yin, Pien Van der Meijs, Andrew M. Prantner, Cecile M. Krejsa, Leia Smith, Brian Johnson, Daniel Branstetter, Paul L. Stein, Juan C. Jaen, Joanne BL Tan, Ada Chen, Timothy Park, Jay P. Powers, Holly Sexton, Guifen Xu, Steve W. Young, Ulrike Schindler, Wentao Deng, David John Klinke, Hannah M. Komar, Gregory Serpa, Omar Elnaggar, Philip Hart, Carl Schmidt, Mary Dillhoff, Ming Jin, Michael C. Ostrowski, Madhuri Koti, Katrina Au, Nichole Peterson, Peter Truesdell, Gillian Reid-Schachter, Charles Graham, Andrew Craig, Julie-Ann Francis, Beatrix Kotlan, Timea Balatoni, Emil Farkas, Laszlo Toth, Mihaly Ujhelyi, Akos Savolt, Zoltan Doleschall, Szabolcs Horvath, Klara Eles, Judit Olasz, Orsolya Csuka, Miklos Kasler, Gabriella Liszkay, Eytan Barnea, Collin Blakely, Patrick Flynn, Reid Goodman, Raphael Bueno, David Sugarbaker, David Jablons, V. Courtney Broaddus, Brian West, Paul R. Kunk, Joseph M. Obeid, Kevin Winters, Patcharin Pramoonjago, Edward B. Stelow, Todd W. Bauer, Osama E. Rahma, Adam Lamble, Yoko Kosaka, Fei Huang, Kate A. Saser, Homer Adams, Christina E. Tognon, Ted Laderas, Shannon McWeeney, Marc Loriaux, Jeffery W. Tyner, Brian J. Druker, Evan F. Lind, Zhuqing Liu, Shanhong Lu, Lawrence P. Kane, Gulidanna Shayan, Julia Femel, Ryan Lane, Jamie Booth, Amanda W. Lund, Anthony Rodriguez, Victor H. Engelhard, Alessandra Metelli, Bill X. Wu, Caroline W. Fugle, Rachidi Saleh, Shaoli Sun, Jennifer Wu, Bei Liu, Zihai Li, Zachary S. Morris, Emily I. Guy, Clinton Heinze, Jasdeep Kler, Monica M. Gressett, Lauryn R. Werner, Stephen D. Gillies, Alan J. Korman, Hans Loibner, Jacquelyn A. Hank, Alexander L. Rakhmilevich, Paul M. Harari, Paul M. Sondel, Erica Huelsmann, Joseph Broucek, Dorothee Brech, Tobias Straub, Martin Irmler, Johannes Beckers, Florian Buettner, Elke Schaeffeler, Matthias Schwab, Elfriede Noessner, Alison Wolfreys, Andre Da Costa, John Silva, Andrea Crosby, Ludovicus Staelens, Graham Craggs, Annick Cauvin, Sean Mason, Alison M. Paterson, Andrew C. Lake, Caroline M. Armet, Rachel W. O’Connor, Jonathan A. Hill, Emmanuel Normant, Ammar Adam, Detlev M. Biniszkiewicz, Scott C. Chappel, Vito J. Palombella, Pamela M. Holland, Annette Becker, Manmohan R. Leleti, Eric Newcomb, Joanne B. L. Tan, Suthee Rapisuwon, Arash Radfar, Kellie Gardner, Geoffrey Gibney, Michael Atkins, Keith R. Rennier, Robert Crowder, Ping Wang, Russell K. Pachynski, Rosa M. Santana Carrero, Sarai Rivas, Figen Beceren-Braun, Scott Anthony, Kimberly S. Schluns, Deepali Sawant, Maria Chikina, Hiroshi Yano, Creg Workman, Elise Salerno, Ileana Mauldin, Donna Deacon, Sofia Shea, Joel Pinczewski, Thomas Gajewski, Stefani Spranger, Brendan Horton, Akiko Suzuki, Pamela Leland, Bharat H. Joshi, Raj K. Puri, Randy F. Sweis, Riyue Bao, Jason Luke, Marie-Nicole Theodoraki, Frances-Mary Mogundo, Haejung Won, Dayson Moreira, Chan Gao, Xingli Zhao, Priyanka Duttagupta, Jeremy Jones, Massimo D’Apuzzo, and Sumanta Pal

Subjects
0301 basic medicine, Pharmacology, Cancer Research, medicine.medical_specialty, business.industry, medicine.medical_treatment, Immunology, Cancer, Immunotherapy, medicine.disease, 3. Good health, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, Oncology, 030220 oncology & carcinogenesis, Family medicine, Molecular Medicine, Immunology and Allergy, Medicine, business
Abstract

O1 IL-15 primes an mTOR-regulated gene-expression program to prolong anti-tumor capacity of human natural killer cells #### Andreas Lundqvist1, Vincent van Hoef1, Xiaonan Zhang1, Erik Wennerberg2, Julie Lorent1, Kristina Witt1, Laia Masvidal Sanz1, Shuo Liang1, Shannon Murray3, Ola Larsson1

Published
2016
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14. Prediction of the hERG potassium channel inhibition potential with use of artificial neural networks

Author

Malidi Ahamadi, Aleksander Mendyk, Barbara Winiowska, and Sebastian Polak

Subjects
Drug, Computer science, media_common.quotation_subject, Activation function, hERG, Machine learning, computer.software_genre, medicine.disease_cause, medicine, IC50, media_common, Virtual screening, Cardiotoxicity, biology, Artificial neural network, business.industry, In vitro, Clinical trial, Drug development, Lipophilicity, Toxicity, biology.protein, Artificial intelligence, business, computer, Software, Genotoxicity
Abstract

New drug development is a complex and time consuming process. The procedure is informally divided into strongly inter-dependent phases beginning from chemical structure synthesis or bioengineering through ADME-Tox properties assessment, clinical trials, up to the market introduction. Recently more and more effort has been invested in the early toxicity assessment of the drugs being developed. Apart from relatively well known and widely researched groups of effects which include hepatotoxicity, immunotoxicity, genotoxicity new toxic effects have become deeply investigated. One of the possible and potentially dangerous cardiotoxic effects is triggered by drugs acquired long QT syndrome (LQTS) which can lead to the fatal ventricular arrhythmia what effected in withdrawal of several drugs from the market. In most drugs known causing the ECG (electrocardiography) interferences the effect results from inhibition of the fast potassium channels (encoded as hERG follow the gene name-human ERG). Therefore early prediction of the hERG channel-drug interaction potential has become a major pharmacological safety concern. The objective of this research was to develop a reliable empirical model for the - triggered by drugs - potassium channel inhibition prediction with use of the previously published and publicly available database. The input data consisted of in vitro research settings, drug chemical structure (molecular fingerprints) and physico-chemical parameters for all substances present in database. Artificial neural networks were chosen as the algorithms for the models development and back-propagation multi-layer perceptrons as well as neuro-fuzzy systems of Mamdani MISO (multiple input single output) type were tested. Classifiers were built on the training set containing 447 records, describing 175 various chemicals. Two test procedures were applied for the model performance assessment: standard 10-fold cross validation procedure and validation based on the external test set containing 45 records describing. Various activation functions were tested including hyperbolic tangent, sigma and fsr function. The performance of the best model estimated in 10-fold CV was 76% (78% for positive and 74% for negative output respectively). Neural network model with 3 and 2 cells in hidden layers respectively and sigma activation function properly predicted 89% instances from the external validation dataset. By neural model analysis it was possible to estimate quantitative relationship between cardiotoxicity risk potential of particular drug and its lipophilicity described as the logP value.

Published
2011
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15. Prediction of concentration-time profile and its inter-individual variability following the dermal drug absorption

Author

Malidi Ahamadi, H Mishra, Masoud Jamei, Nikunjkumar Patel, Amin Rostami-Hodjegan, Cyrus Ghobadi, and Sebastian Polak

Subjects
Male, Diclofenac, In silico, Skin Absorption, Pharmaceutical Science, Simcyp$^{®}$ simulator, Absorption (skin), Computational biology, Pharmacology, Biology, Clinical pharmacokinetic, Administration, Cutaneous, Models, Biological, inter-individual variability, Pharmacokinetics, distribution, Humans, Computer Simulation, In vitro in vivo, Time profile, Skin, physiological model, integumentary system, Drug disposition, Anti-Inflammatory Agents, Non-Steroidal, transdermal drug delivery, Population variability, physiologically based pharmacokinetic (PBPK) models, ADME (absorption), excretion, in vitro–in vivo extrapolation (IVIVE), Female, metabolism, mathematical model
Abstract

Estimation of systemic exposure after absorption of any xenobiotic from the skin is very important in development of dermal pharmaceutical products as well as assessing un-intended exposures due to cosmetic products or environmental and occupational compounds. Historically, animal models have been used to evaluate dermal drug absorption before conducting human trials. However, occasional disparity between the animal and human data plus rising public interest and regulatory requirements to reduce animal usage in research combined with high cost and time-consuming attributes of animal experiments have prompted many academic and industrial researchers to develop economically viable and scientifically robust in silico and in vitro methods to assess dermal drug absorption. There are a number of in silico models available in literature from quantitative structure-activity relationship to semi-mechanistic to physiologically based mechanistic models. Nonetheless, to the best of our knowledge, so far, there has been no attempt to combine mechanistic skin absorption model with database of physiological variability to simulate the inter- and intra-individual variability observed in human trials. Thus, we report here mechanistic dermal absorption model with formulation, stratum corneum, viable epidermis-dermis and blood compartments along with datab"ase of human dermal physiological variability including gender, ethnic and site of application variations. The developed model is incorporated into the Simcyp simulator which is a 'bottom-up' platform and database for mechanistic modelling and simulation of the drug disposition process using full body physiologically based pharmacokinetics model. The built model is validated using the clinical pharmacokinetic data from five different topical formulations of diclofenac. The effect of penetration enhancers, site of application, gender and ethnic variations were incorporated to simulate the clinical trials. The applied mechanistic dermal absorption model when combined with skin physiological database was able to recover well the observed clinical pharmacokinetics and population variability in all the five validation studies.

Published
2012

16. Symbolic-numerical methods for the computation of normal forms of PDEs

Author

Malidi Ahamadi and Jean-Jacques Gervais

Subjects
Partial differential equation, Applied Mathematics, Numerical analysis, Mathematical analysis, MathematicsofComputing_NUMERICALANALYSIS, Symbolic computation, Normal forms, Finite element method, Computational Mathematics, Nonlinear system, Pitchfork bifurcation, Finite element, ComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATION, Applied mathematics, Center manifold, Linear equation, Mathematics
Abstract

The center manifold and the normal forms are effective tools for the study of local bifurcations occurring in evolution equations. The computation of the center manifold and the normal form amounts, after more or less complex algebraic transformations, to solve in a recursive way a hierarchy of linear equations. We present a method and computer programs for the computation of normal forms of some nonlinear parabolic PDEs. These computations are performed using the symbolic algebra system Maple, Matlab and exploiting the compatibility of these two systems. Here the linear equations to be solved are infinite dimensional and we use the finite element method for this purpose. The use of the finite element method allows to consider problems with complex shape domains. In our programs, Maple takes care of the algebraic manipulations delivering the set of linear equations to be solved and writes some parts of the Matlab code for their resolution. We give three applications: a pitchfork bifurcation in a semilinear parabolic equation, a Hopf bifurcation and a bifurcation to rotating and standing waves in a reaction–diffusion system.

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