Reproducibility of in Vivo Research Using the Mouse As a Model
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Meta Analyses – Pros and Cons
Meta analyses – pros and cons Emily S Sena, PhD Centre for Clinical Brain Sciences, University of Edinburgh @camarades_ CAMARADES: Bringing evidence to translational medicine CAMARADES • Collaborative Approach to Meta-Analysis and Review of Animal Data from Experimental Studies • Look systematically across the modelling of a range of conditions • Data Repository – 30 Diseases – 40 Projects – 25,000 studies – from over 400,000 animals CAMARADES: Bringing evidence to translational medicine Why do we do meta-analysis of animal studies? • Animal models are generally performed to inform human health but when should you be convinced to move to the next step? • Systematic reviews & meta-analyses: – assess the quality and range of evidence – identify gaps in the field – quantify relative utility of outcome measures – inform power/sample size calculations – assess for publication bias – try to explain discrepancies between preclinical and clinical trial results – inform clinical trial design CAMARADES: Bringing evidence to translational medicine Systematic review and meta-analysis • Pros – What have we learnt about…….. • Translation? • Quality? • The 3Rs? • Cons – What are the limitations? • As good as the data that goes in? • Rapidly outdated • The Impact CAMARADES: Bringing evidence to translational medicine Systematic review and meta-analysis • Pros – What have we learnt about…….. • Translation? • Quality? • The 3Rs? • Cons – What are the limitations? • As good as the data that goes in? • Rapidly outdated • The Impact CAMARADES: Bringing evidence -
Revealing the Role of the Human Blood Plasma Proteome in Obesity Using Genetic Drivers
ARTICLE https://doi.org/10.1038/s41467-021-21542-4 OPEN Revealing the role of the human blood plasma proteome in obesity using genetic drivers Shaza B. Zaghlool 1,11, Sapna Sharma2,3,4,11, Megan Molnar 2,3, Pamela R. Matías-García2,3,5, Mohamed A. Elhadad 2,3,6, Melanie Waldenberger 2,3,7, Annette Peters 3,4,7, Wolfgang Rathmann4,8, ✉ Johannes Graumann 9,10, Christian Gieger2,3,4, Harald Grallert2,3,4,12 & Karsten Suhre 1,12 Blood circulating proteins are confounded readouts of the biological processes that occur in 1234567890():,; different tissues and organs. Many proteins have been linked to complex disorders and are also under substantial genetic control. Here, we investigate the associations between over 1000 blood circulating proteins and body mass index (BMI) in three studies including over 4600 participants. We show that BMI is associated with widespread changes in the plasma proteome. We observe 152 replicated protein associations with BMI. 24 proteins also associate with a genome-wide polygenic score (GPS) for BMI. These proteins are involved in lipid metabolism and inflammatory pathways impacting clinically relevant pathways of adiposity. Mendelian randomization suggests a bi-directional causal relationship of BMI with LEPR/LEP, IGFBP1, and WFIKKN2, a protein-to-BMI relationship for AGER, DPT, and CTSA, and a BMI-to-protein relationship for another 21 proteins. Combined with animal model and tissue-specific gene expression data, our findings suggest potential therapeutic targets fur- ther elucidating the role of these proteins in obesity associated pathologies. 1 Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Doha, Qatar. -
Melanoma: Epidemiology, Risk Factors, Pathogenesis, Diagnosis and Classification
in vivo 28: 1005-1012 (2014) Review Melanoma: Epidemiology, Risk Factors, Pathogenesis, Diagnosis and Classification MARCO RASTRELLI1, SAVERIA TROPEA1, CARLO RICCARDO ROSSI2 and MAURO ALAIBAC3 1Melanoma and Sarcoma Unit, Veneto Institute of Oncology, IOV- IRCCS, Padova, Italy; 2Melanoma and Sarcoma Unit, Veneto Institute of Oncology, IOV-IRCCS and Department of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy; 3Dermatology Unit, University of Padova, Padova, Italy Abstract. This article reviews epidemiology, risk factors, Epidemiology pathogenesis and diagnosis of melanoma. Data on melanoma from the majority of countries show a rapid At the start of 21st century, melanoma remains a potentially increase of the incidence of this cancer, with a slowing of fatal malignancy. At a time when the incidence of many the rate of incidence in the period 1990-2000. Males are tumor types is decreasing, melanoma incidence continues to approximately 1.5-times more likely to develop melanoma increase (1). Although most patients have localized disease than females, while according to other studies, the different at the time of the diagnosis and are treated by surgical prevalence in both sexes must be analyzed in relation with excision of the primary tumor, many patients develop age: the incidence rate of melanoma is grater in women metastases (2). than men until they reach the age of 40 years, however, by The incidence of malignant melanoma has been increasing 75 years of age, the incidence is almost 3-times as high in worldwide, resulting in an important socio-economic men versus women. The most important and potentially problem. From being a rare cancer one century ago, the modifiable environmental risk factor for developing average lifetime risk for melanoma has now reached 1 in 50 malignant melanoma is the exposure to ultraviolet (UV) in many Western populations (3). -
Adaptive Enrichment Designs in Clinical Trials
Annual Review of Statistics and Its Application Adaptive Enrichment Designs in Clinical Trials Peter F. Thall Department of Biostatistics, M.D. Anderson Cancer Center, University of Texas, Houston, Texas 77030, USA; email: [email protected] Annu. Rev. Stat. Appl. 2021. 8:393–411 Keywords The Annual Review of Statistics and Its Application is adaptive signature design, Bayesian design, biomarker, clinical trial, group online at statistics.annualreviews.org sequential design, precision medicine, subset selection, targeted therapy, https://doi.org/10.1146/annurev-statistics-040720- variable selection 032818 Copyright © 2021 by Annual Reviews. Abstract All rights reserved Adaptive enrichment designs for clinical trials may include rules that use in- terim data to identify treatment-sensitive patient subgroups, select or com- pare treatments, or change entry criteria. A common setting is a trial to Annu. Rev. Stat. Appl. 2021.8:393-411. Downloaded from www.annualreviews.org compare a new biologically targeted agent to standard therapy. An enrich- ment design’s structure depends on its goals, how it accounts for patient heterogeneity and treatment effects, and practical constraints. This article Access provided by University of Texas - M.D. Anderson Cancer Center on 03/10/21. For personal use only. first covers basic concepts, including treatment-biomarker interaction, pre- cision medicine, selection bias, and sequentially adaptive decision making, and briefly describes some different types of enrichment. Numerical illus- trations are provided for qualitatively different cases involving treatment- biomarker interactions. Reviews are given of adaptive signature designs; a Bayesian design that uses a random partition to identify treatment-sensitive biomarker subgroups and assign treatments; and designs that enrich superior treatment sample sizes overall or within subgroups, make subgroup-specific decisions, or include outcome-adaptive randomization. -
Use of in Vivo and in Vitro Models to Guide Dose Selection for Neonatal Infections
Use of In Vivo and In Vitro Models to Guide Dose Selection for Neonatal Infections Professor William Hope Antimicrobial Pharmacodynamics & Therapeutics University of Liverpool September 2016 Disclosures • William Hope has received research funding from Pfizer, Gilead, Astellas, AiCuris, Amplyx, Spero Therapeutics and F2G, and acted as a consultant and/or given talks for Pfizer, Basilea, Astellas, F2G, Nordic Pharma, Medicines Company, Amplyx, Mayne Pharma, Spero Therapeutics, Auspherix, Cardeas and Pulmocide. First of all BIOMARKER OUTCOME OF CLINICAL DOSE INTEREST/IMPORTANCE •Decline in Log10CFU/mL •Linked to an outcome of clinical interest •Survival 7 6 5 4 CFU/g) CNS 10 3 Effect (log 2 1 0 0.01 0.1 1 10 100 1000 Total doseDose 5FC (mg/kg) PHARMACOKINETICS PHARMACODYNAMICS Concept of Expensive Failure COST Derisking White Powder Preclinical Program Clinical Program Concept from Trevor Mundell & Gates Foundation And this… Normal Therapeutics Drug A, Dose A1 versus Drug B, Dose B1 Pharmacodynamics is the Bedrock of ALL Therapeutics…it sits here without being seen One of the reasons simple scaling does not work is the fact pharmacodynamics are different Which means the conditions that govern exposure response relationships in neonates need to be carefully considered …Ignore these at your peril Summary of Preclinical Pharmacodynamic Studies for Neonates** • Hope el al JID 2008 – Micafungin for neonates – Primary question of HCME – Rabbit model with hematogenous dissemination • Warn et al AAC 2010 – Anidulafungin for neonates – Primary question -
Dermatopontin in the Extracellular Matrix Enhances Osteogenic Differentiation of Adipose-Derived Mesenchymal Stem Cells
Musculoskeletal Biology ISSN 2054-720X | Volume 1 | Article 2 Research Open Access Dermatopontin in the extracellular matrix enhances osteogenic differentiation of adipose-derived mesenchymal stem cells Heather B. Coan1, Mark O. Lively2 and Mark E. Van Dyke3* *Correspondence: [email protected] CrossMark ← Click for updates 1Department of Biology, Western Carolina University, Cullowhee, NC 28723, USA. 2Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA. 3School of Biomedical Engineering and Sciences, Virginia Tech, Blacksburg, VA 24061, USA. Abstract Background: Dermatopontin (DPT) is a 22-kDa tyrosine-rich extracellular matrix (ECM) protein that is found at high levels in demineralized bone matrix and cartilage and may play an important role in skeletal tissue function. In the current study, we investigate whether DPT in the ECM plays a role in the enhanced osteogenic differentiation of adipose-derived stem cells (ADSCs). Methods: In order to determine whether DPT modulates osteogenesis, we overexpressed the DPT gene in ADSC using stable lentiviral infection, induced the DPT-overexpressing cells to differentiate, and isolated the ECM secreted by these cells during osteogenesis. Using the secreted ECM with “higher than normal” levels of DPT embedded within as a substrate for cell growth, we assessed the extent to which the excess DPT modulated osteogenic marker expression during osteogenic differentiation of naive ADSC. Results: We found that ADSC cultured on the DPT-enriched ECM differentiated towards an osteogenic phenotype more robustly, as measured by expression of osteogenic marker genes. Conclusions: This may indicate an important role for DPT in the induction of stem cells toward an osteoblast phenotype during skeletal wound healing. -
Role and Limitations of Epidemiology in Establishing a Causal Association Eduardo L
Seminars in Cancer Biology 14 (2004) 413–426 Role and limitations of epidemiology in establishing a causal association Eduardo L. Franco a,∗, Pelayo Correa b, Regina M. Santella c, Xifeng Wu d, Steven N. Goodman e, Gloria M. Petersen f a Departments of Epidemiology and Oncology, McGill University, 546 Pine Avenue West, Montreal, QC, Canada H2W1S6 b Department of Pathology, Louisiana State University Health Sciences Center, New Orleans, LA, USA c Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA d Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA e Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA f Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, MN, USA Abstract Cancer risk assessment is one of the most visible and controversial endeavors of epidemiology. Epidemiologic approaches are among the most influential of all disciplines that inform policy decisions to reduce cancer risk. The adoption of epidemiologic reasoning to define causal criteria beyond the realm of mechanistic concepts of cause-effect relationships in disease etiology has placed greater reliance on controlled observations of cancer risk as a function of putative exposures in populations. The advent of molecular epidemiology further expanded the field to allow more accurate exposure assessment, improved understanding of intermediate endpoints, and enhanced risk prediction by incorporating the knowledge on genetic susceptibility. We examine herein the role and limitations of epidemiology as a discipline concerned with the identification of carcinogens in the physical, chemical, and biological environment. We reviewed two examples of the application of epidemiologic approaches to aid in the discovery of the causative factors of two very important malignant diseases worldwide, stomach and cervical cancers. -
Interspecies NASH Disease Activity Whole-Genome Profiling Identifies a Fibrogenic Role of Pparα-Regulated Dermatopontin
Interspecies NASH disease activity whole-genome profiling identifies a fibrogenic role of PPARα-regulated dermatopontin Philippe Lefebvre, … , Sven Francque, Bart Staels JCI Insight. 2017;2(13):e92264. https://doi.org/10.1172/jci.insight.92264. Research Article Gastroenterology Nonalcoholic fatty liver disease prevalence is soaring with the obesity pandemic, but the pathogenic mechanisms leading to the progression toward active nonalcoholic steatohepatitis (NASH) and fibrosis, major causes of liver-related death, are poorly defined. To identify key components during the progression toward NASH and fibrosis, we investigated the liver transcriptome in a human cohort of NASH patients. The transition from histologically proven fatty liver to NASH and fibrosis was characterized by gene expression patterns that successively reflected altered functions in metabolism, inflammation, and epithelial-mesenchymal transition. A meta-analysis combining our and public human transcriptomic datasets with murine models of NASH and fibrosis defined a molecular signature characterizing NASH and fibrosis and evidencing abnormal inflammation and extracellular matrix (ECM) homeostasis. Dermatopontin expression was found increased in fibrosis, and reversal of fibrosis after gastric bypass correlated with decreased dermatopontin expression. Functional studies in mice identified an active role for dermatopontin in collagen deposition and fibrosis. PPARα activation lowered dermatopontin expression through a transrepressive mechanism affecting the Klf6/TGFβ1 pathway. -
(GIVIMP) for the Development and Implementation of in Vitro Methods for 829 Regulatory Use in Human Safety Assessment
1 2 Draft GUIDANCE DOCUMENT ON GOOD IN VITRO METHOD PRACTICES (GIVIMP) 3 FOR THE DEVELOPMENT AND IMPLEMENTATION OF IN VITRO METHODS FOR 4 REGULATORY USE IN HUMAN SAFETY ASSESSMENT 5 6 FOREWORD 7 8 A guidance document on Good In Vitro Method Practices (GIVIMP) for the development and 9 implementation of in vitro methods for regulatory use in human safety assessment was 10 identified as a high priority requirement. The aim is to reduce the uncertainties in cell and 11 tissue-based in vitro method derived predictions by applying all necessary good scientific, 12 technical and quality practices from in vitro method development to in vitro method 13 implementation for regulatory use. 14 The draft guidance is coordinated by the European validation body EURL ECVAM and has 15 been accepted on the work plan of the OECD test guideline programme since April 2015 as a 16 joint activity between the Working Group on Good Laboratory Practice (GLP) and the 17 Working Group of the National Coordinators of the Test Guidelines Programme (WNT). 18 The draft document prepared by the principal co-authors has been sent in September 2016 to 19 all 37 members of the European Union Network of Laboratories for the Validation of 20 Alternative Methods (EU-NETVAL1) and has been subsequently discussed at the EU- 21 NETVAL meeting on the 10th of October 2016. 22 By November/December 2016 the comments of the OECD Working Group on GLP and 23 nominated experts of the OECD WNT will be forwarded to EURL ECVAM who will 24 incorporate these and prepare an updated version. -
Transforming Clinical Trials with Digital Tech, and What That Means for the Patient
■ SCRIP 100 SPONSORED BY: Transforming Clinical Trials With Digital Tech, And What That Means For The Patient Many stakeholders within the pharma and biotech industries are management systems, safety systems and data repositories. A witnessing radical shifts taking place in how clinical trials are central data storage location provides sponsors and sites access conceived, designed and conducted. This transformation relies in real time, and increases productivity by allowing information heavily on applying the power of digital technologies. to be quickly shared and managed in a secure fashion. As new technologies emerge, they will converge through networks Additionally, the continuous streaming of data to cloud-based plat- and cloud-based platforms to create a new digital health care ecosys- forms could accelerate clinical trials and decrease protocol amend- tem. Collectively, they will have a greater impact on clinical trials than ments, resulting in reduced clinical trial costs. Also, sponsors can use any one technology would achieve separately. At the center of this cloud-based platforms for data submission to regulatory agencies, ecosystem is the patient, demonstrated by the uptick in personalized which has the potential to accelerate drug development, streamline therapies and a growing emphasis on patient-reported outcomes. regulatory review and enhance regulatory decision-making.2 While the mean projected return on new drug research and devel- DEMOCRATIZATION OF AI, DATA AND ALGORITHMS opment (R&D) investments by a dozen large cap biopharma firms fell from 10.1% in 2010 to 1.9% in 2018,1 an opportunity remains The influx of big data is fueling algorithms that are the building blocks for emerging digital technologies to improve R&D productivity. -
82232002.Pdf
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Dermatopontin Expression is Decreased in Hypertrophic Scar and Systemic Sclerosis Skin Fibroblasts and is Regulated by Transforming Growth Factor-β1, Interleukin-4, and Matrix Collagen Kei Kuroda, Osamu Okamoto,* and Hiroshi Shinkai Department of Dermatology, School of Medicine, Chiba University, Chiba, Japan; *Department of Dermatology, Oita Medical University, Oita, Japan Dermatopontin is a recently discovered extracellular investigated the effects of cytokines and matrix colla- matrix protein with proteoglycan and cell-binding gen on dermatopontin expression in normal cultured properties and is assumed to play important roles in fibroblasts. Transforming growth factor-β1 increased cell–matrix interactions and matrix assembly. In this dermatopontin mRNA and protein levels, while study we examined the expression of dermatopontin interleukin-4 reduced dermatopontin expression. Sub- mRNA and protein in skin fibroblast cultures from strate coated with type I collagen reduced dermato- patients with hypertrophic scar and patients with sys- pontin mRNA levels, the reduction being more temic sclerosis. Dermatopontin mRNA and protein prominent in three-dimensional collagen matrices. levels were reduced in fibroblast cultures from hyper- Our results suggest that the decreased expression of trophic scar lesional skin compared with fibroblasts dermatopontin is associated with the pathogenesis of from normal skin of the same hypertrophic scar fibrosis in hypertrophic scar and systemic sclerosis, patient. Fibroblast cultures from systemic sclerosis and that the effect of the cytokines and matrix collagen patient involved skin also showed significantly reduced on dermatopontin may have important implications expression of dermatopontin compared with normal for skin fibrosis. -
Analysis of the Acellular Matrix, Growth Factors, and Cytokines Present in Dermacell® Advanced Wound Management Dr
Analysis of the Acellular Matrix, Growth Factors, and Cytokines Present in DermACELL® Advanced Wound Management Dr. Eran Rosinesa, Dr. Qishan Linb Study conducted at Albany Medical center through funding from the Skin and Wound Allograft Institute, a Subsidiary of LifeNet Health aDr. Eran Rosines: R&D Staff Scientist, LifeNet Health, 1864 Concert Drive., Virginia Beach, VA 23451 bDr. Qishan Lin: UAlbany Proteomics Facility Director; Center for Functional Genomics, University of Albany, 1 Discovery Drive, 342 H, Rensselaer, NY 12144 Findings Fragments of the following proteins were found by LC-MS/MS to be present in DermACELL: Collagens GF-binding ECM Additional ECM Matrikines Growth Factors Cytokines Type I Heparan Sulfate Proteoglycan (HSPG) Elastin Tenascin-C BMP6 IL1a Type III Chondroitin Sulfate Proteoglycan (CSPG) Nidogen (Entactin) Laminins CTGF IL1b Type IV Perlecan (HSPG2) Keratin Decorin EGF IL2 Type V Aggrecan Endostatin HGF IL5 Type VI Lumican Pentastatin PDGFD IL9 Type VII Versican Tumstatin TGFB1 IL22b Type VIII Glypican Elastokines VEGFA IL25 Type XII Syndecan VEGFD (FIGF) IL27 Type XIV Tenascin (C & N) IL32 Type XVII Thrombospondin 2 TNF Type XVIII Dermatopontin Type XX Decorin Type XXI Vitronectin Type XXIII Laminin (α1-5, β1-3,γ1&3) Type XXVII Fibrinogen (Fibrin precursor) Type XXVIII Objective Identify the extracellular matrix (ECM) components, growth factors, and cytokines in DermACELL, a decellularized sterile human dermal allograft. Introduction Human skin is a complex tissue containing various extracellular matrix molecules, growth factors, and cytokines3. While healthy human skin is capable of repairing damaged areas and replacing all components, chronic wounds display an inability to properly synthesize many components and rebuild healthy skin3-5.