NuGO has initiated the development of the Phenotype Database (dbNP). This database is developed together with several other consortia (e.g. Netherlands Metabolomics Centre) and is currently used within several European projects, such as Food4me, NU-AGE, Bioclaims and Nutritech.
The Phenotype Database (www.dbnp.org) is a web-based application/database that can store any biological study. We used this application to perform an analysis on a combination of several studies with the objective to test if it is possible to answer new research questions using a ‘virtual cohort’.
Study comparison:
The assessment of the health status of an individual is an important but challenging issue. Nowadays, challenge tests are proposed as a method to assess and quantify health status. We would like to find mechanistic explanations for differences in clinical subgroups and to develop a metabolomics platform based fingerprint at baseline that represents important parameters of the challenge test. Currently, there is not one single study available that includes enough subjects from specific clinical subgroups to develop such a fingerprint or study the biological processes specific for those subgroups. Therefore, we developed a toolbox that facilitates the combined analysis of multiples studies.
dkNET Webinar: A New Approach to the Study of Energy Balance and Obesity usin...dkNET
Abstract
We report a web-based tool for analysis of experiments using indirect calorimetry to measure physiological energy balance. CalR simplifies the process to import raw data files, generate plots, and determine the most appropriate statistical tests for interpretation. Analysis using the generalized linear model (which includes ANOVA and ANCOVA) allows for flexibility in interpreting diverse experimental designs, including those of obesity and thermogenesis. Users also may produce standardized output files for an experiment that can be shared and subsequently re-evaluated using CalR. This framework will provide the transparency necessary to enhance consistency, rigor, and reproducibility. The CalR analysis software will greatly increase the speed and efficiency with which metabolic experiments can be organized, analyzed per accepted norms, and reproduced and has become a standard tool for the field. CalR is accessible at https://CalRapp.org/
The top 4 key questions that our tool can answer:
1. Can I reproducibly and transparently analyze indirect calorimetry experiments in under 10 minutes?
2. How hard is it to use Analysis of Covariance (ANCOVA) to determine whether my groups of animals are significantly different?
3. Is there an automated, reproducible way to exclude “noisy” outlier data from our indirect calorimetry experiments?
4. What are the key factors in determining metabolic rate of mice?
Presenter: Alexander Banks, PhD, principal investigator and assistant professor at Harvard Medical School and the Beth Israel Deaconess Medical Center.
dkNET Webinar Information: https://dknet.org/about/webinar
Estimating the Survival Function of HIV AIDS Patients using Weibull Modelijtsrd
This work provides information on the survival times of a cohort of infected individuals. The mean survival time was obtained as 22.579 months from the resultant estimate of the shape parameter =1.156 and scale parameter =0.0256 from Weibull 7 simulation of n = 500. Confidence intervals were also obtained for the two parameters at = 0.05 and it was found that the estimates are highly reliable. R. A. Adeleke | O. D. Ogunwale "Estimating the Survival Function of HIV/AIDS Patients using Weibull Model" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30636.pdf Paper Url :https://www.ijtsrd.com/mathemetics/statistics/30636/estimating-the-survival-function-of-hivaids-patients-using-weibull-model/r-a-adeleke
Allometry Scalling in Drug Development by Murugesh Kandasamy in Advancements in Bioequivalence & Bioavailability
Allometry is about the study of body size and its outcomes, it is described as ‘by a different measure’, and in allometric system the proportions are changed in a regular fashion [1]. Allometry, which is the oldest of the approaches and still widely applied in biology, is concerned with the study of the relationship between the size and function of components of the body and growth or size of the whole body [2]. Alternatively, to study the species change in a specific factor which correlates with difference in size of the species. Allometry is centered on the prediction (an exact prediction) by considering the physiological, anatomical and biochemical parallels among animals, which can be explained by mathematical models. It is now an established fact that many physiological processes and size of the organ that exhibit a power-law relationship with the body weight of the species. This relationship is defined as the scientific source of allometric scaling [3,4].
https://crimsonpublishers.com/abb/fulltext/ABB.000512.php
Systems medicine of metabolic syndrome and its comorbiditiesNatal van Riel
Due to an aging population and the obesity epidemic, an increasing number of people suffer from the so-called Metabolic Syndrome (MetSyn). Those people have a combination of related disease phenotypes, such as high cholesterol, disturbed sugar metabolism and insulin insensitivity. Moreover, they are at a high risk to develop type 2 diabetes, fatty liver and cardiovascular diseases. We use systems biology to understand how the processes involved in metabolism of cholesterol, lipids and sugars become imbalanced. As an example, a study on the effect of Liver X receptor (LXR) agonists is reported.
Systems biology (systems medicine) research also triggers innovation in methods and technology for modelling. The application of a novel computational modeling approach, called Analysis of Dynamic Adaptations in Parameter Trajectories (ADAPT) will be discussed. ADAPT is applied to describe the development and progression of MetSyn over a longer period of time. In combination with model-based experimental validation we study the physiological origin of hepatic steatosis induced by liver X receptor activation.
dkNET Webinar: A New Approach to the Study of Energy Balance and Obesity usin...dkNET
Abstract
We report a web-based tool for analysis of experiments using indirect calorimetry to measure physiological energy balance. CalR simplifies the process to import raw data files, generate plots, and determine the most appropriate statistical tests for interpretation. Analysis using the generalized linear model (which includes ANOVA and ANCOVA) allows for flexibility in interpreting diverse experimental designs, including those of obesity and thermogenesis. Users also may produce standardized output files for an experiment that can be shared and subsequently re-evaluated using CalR. This framework will provide the transparency necessary to enhance consistency, rigor, and reproducibility. The CalR analysis software will greatly increase the speed and efficiency with which metabolic experiments can be organized, analyzed per accepted norms, and reproduced and has become a standard tool for the field. CalR is accessible at https://CalRapp.org/
The top 4 key questions that our tool can answer:
1. Can I reproducibly and transparently analyze indirect calorimetry experiments in under 10 minutes?
2. How hard is it to use Analysis of Covariance (ANCOVA) to determine whether my groups of animals are significantly different?
3. Is there an automated, reproducible way to exclude “noisy” outlier data from our indirect calorimetry experiments?
4. What are the key factors in determining metabolic rate of mice?
Presenter: Alexander Banks, PhD, principal investigator and assistant professor at Harvard Medical School and the Beth Israel Deaconess Medical Center.
dkNET Webinar Information: https://dknet.org/about/webinar
Estimating the Survival Function of HIV AIDS Patients using Weibull Modelijtsrd
This work provides information on the survival times of a cohort of infected individuals. The mean survival time was obtained as 22.579 months from the resultant estimate of the shape parameter =1.156 and scale parameter =0.0256 from Weibull 7 simulation of n = 500. Confidence intervals were also obtained for the two parameters at = 0.05 and it was found that the estimates are highly reliable. R. A. Adeleke | O. D. Ogunwale "Estimating the Survival Function of HIV/AIDS Patients using Weibull Model" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30636.pdf Paper Url :https://www.ijtsrd.com/mathemetics/statistics/30636/estimating-the-survival-function-of-hivaids-patients-using-weibull-model/r-a-adeleke
Allometry Scalling in Drug Development by Murugesh Kandasamy in Advancements in Bioequivalence & Bioavailability
Allometry is about the study of body size and its outcomes, it is described as ‘by a different measure’, and in allometric system the proportions are changed in a regular fashion [1]. Allometry, which is the oldest of the approaches and still widely applied in biology, is concerned with the study of the relationship between the size and function of components of the body and growth or size of the whole body [2]. Alternatively, to study the species change in a specific factor which correlates with difference in size of the species. Allometry is centered on the prediction (an exact prediction) by considering the physiological, anatomical and biochemical parallels among animals, which can be explained by mathematical models. It is now an established fact that many physiological processes and size of the organ that exhibit a power-law relationship with the body weight of the species. This relationship is defined as the scientific source of allometric scaling [3,4].
https://crimsonpublishers.com/abb/fulltext/ABB.000512.php
Systems medicine of metabolic syndrome and its comorbiditiesNatal van Riel
Due to an aging population and the obesity epidemic, an increasing number of people suffer from the so-called Metabolic Syndrome (MetSyn). Those people have a combination of related disease phenotypes, such as high cholesterol, disturbed sugar metabolism and insulin insensitivity. Moreover, they are at a high risk to develop type 2 diabetes, fatty liver and cardiovascular diseases. We use systems biology to understand how the processes involved in metabolism of cholesterol, lipids and sugars become imbalanced. As an example, a study on the effect of Liver X receptor (LXR) agonists is reported.
Systems biology (systems medicine) research also triggers innovation in methods and technology for modelling. The application of a novel computational modeling approach, called Analysis of Dynamic Adaptations in Parameter Trajectories (ADAPT) will be discussed. ADAPT is applied to describe the development and progression of MetSyn over a longer period of time. In combination with model-based experimental validation we study the physiological origin of hepatic steatosis induced by liver X receptor activation.
Social Media For B2B (Business to Business)Digital Vidya
Learn to leverage Social Media for B2B (Business to Business). Presentation by Jessie Paul (CEO, PaulWriter) at Digital Vidya’s Social Media for Business Bootcamp in Bangalore.
Wir leben und arbeiten in einer schnelllebigen Zeit, in der vor allem das "Gut" Information immer mehr zum entscheidenden Wettbewerbsvorsprung und persönlichen Erfolgsfaktor wird. In den unternehmerischen Schwerpunkten und Guidelines unserer Verlagsarbeit stehen innovative Mehrwert-Leistungen im Zuge einer sich rasend schnell verändernden Medien- und Fachinformationslandschaft mit hohen Qualitätsansprüchen von Lesern und Kunden im Vordergrund.
Die Fachwerke des PRAXIUM-Verlages gehen weit über die traditionelle Wissensvermittlung hinaus und unterstützen auch den Lern- und Arbeitsprozess in der HR- und Unternehmens-Praxis mit digitalen Mehrwertleistungen – online downloadbar und auf CD-ROM. Dies sind individuell anpassbare und interaktive Tools von einfachen Checklisten bis zu Analyse- und Planungstools, von denen Sie hier zahlreiche Beispiele finden.
Die Digitalisierung von Fachinformationen gewinnt immer mehr an Bedeutung. Stichworte sind Filesharing im Team, Arbeiten in und mit der Cloud, plattformübergreifende auch mobile Zugriffsmöglichkeiten von Fachinformationen, jederzeit schnelle und komfortable Aktualisierbarkeit von Informationen, das Handling unterschiedlichster Contentarten und Datenformate und mehr. Auch diesen Entwicklungen gegenüber ist der PRAXIUM-Verlag aufgeschlossen und bietet seinen Lesern und Kunden innovative, praxisgerechte und vielseitige Lösungen.
Water Initiative 2014 Canadian Water Network Research Project OverviewJoel Gehman
The Water Initiative research team is preparing an
extensive comparative, multidisciplinary review of
hydraulic fracturing wastewater handling, treatment,
reuse and disposal by comparing the operating
practices, regulatory policies and stakeholder concerns
that have emerged in various jurisdictions regulating
unconventional shale formations in North America. The
research will identify key knowledge gaps and enable
private and public sector decision-makers to develop
specific research approaches to directly address these
identified knowledge gaps.
Web2.0 in the classroom…The Who, What, Where and the HowAnne-Mart Olsen
A presentation that briefly introduces the need for technology in education and looks at why it is so important. It also briefly touches on digital design, digital literacies and some basic tools (of many out there) one can start with in order to kick one's classroom into the 21st century.
This presentation serves as an introduction into the world of technology in education.
Design Basics for DIY Print and Digital Publications Paul Brown
Originally presented at The Association of College and University Housing Officers International’s (ACUHO-I) Business Operations Conference in Scottsdale, AZ, in October 2016.
VO2max Trainability and High Intensity Interval Training in Humans: A Meta-An...Fernando Farias
The benefits of an active lifestyle are well documented [1–3].
Many of these benefits are also associated with higher levels of
cardiorespiratory fitness (VO2max) which may exert protective
effects that are independent of traditional risk factors [3,4].
Additionally, for individuals with low physical fitness, even modest
improvements in fitness can have substantial health benefits.
However, some individuals may have a limited ability to increase
their cardiorespiratory fitness (trainability) in response to endurance
exercise training
Social Media For B2B (Business to Business)Digital Vidya
Learn to leverage Social Media for B2B (Business to Business). Presentation by Jessie Paul (CEO, PaulWriter) at Digital Vidya’s Social Media for Business Bootcamp in Bangalore.
Wir leben und arbeiten in einer schnelllebigen Zeit, in der vor allem das "Gut" Information immer mehr zum entscheidenden Wettbewerbsvorsprung und persönlichen Erfolgsfaktor wird. In den unternehmerischen Schwerpunkten und Guidelines unserer Verlagsarbeit stehen innovative Mehrwert-Leistungen im Zuge einer sich rasend schnell verändernden Medien- und Fachinformationslandschaft mit hohen Qualitätsansprüchen von Lesern und Kunden im Vordergrund.
Die Fachwerke des PRAXIUM-Verlages gehen weit über die traditionelle Wissensvermittlung hinaus und unterstützen auch den Lern- und Arbeitsprozess in der HR- und Unternehmens-Praxis mit digitalen Mehrwertleistungen – online downloadbar und auf CD-ROM. Dies sind individuell anpassbare und interaktive Tools von einfachen Checklisten bis zu Analyse- und Planungstools, von denen Sie hier zahlreiche Beispiele finden.
Die Digitalisierung von Fachinformationen gewinnt immer mehr an Bedeutung. Stichworte sind Filesharing im Team, Arbeiten in und mit der Cloud, plattformübergreifende auch mobile Zugriffsmöglichkeiten von Fachinformationen, jederzeit schnelle und komfortable Aktualisierbarkeit von Informationen, das Handling unterschiedlichster Contentarten und Datenformate und mehr. Auch diesen Entwicklungen gegenüber ist der PRAXIUM-Verlag aufgeschlossen und bietet seinen Lesern und Kunden innovative, praxisgerechte und vielseitige Lösungen.
Water Initiative 2014 Canadian Water Network Research Project OverviewJoel Gehman
The Water Initiative research team is preparing an
extensive comparative, multidisciplinary review of
hydraulic fracturing wastewater handling, treatment,
reuse and disposal by comparing the operating
practices, regulatory policies and stakeholder concerns
that have emerged in various jurisdictions regulating
unconventional shale formations in North America. The
research will identify key knowledge gaps and enable
private and public sector decision-makers to develop
specific research approaches to directly address these
identified knowledge gaps.
Web2.0 in the classroom…The Who, What, Where and the HowAnne-Mart Olsen
A presentation that briefly introduces the need for technology in education and looks at why it is so important. It also briefly touches on digital design, digital literacies and some basic tools (of many out there) one can start with in order to kick one's classroom into the 21st century.
This presentation serves as an introduction into the world of technology in education.
Design Basics for DIY Print and Digital Publications Paul Brown
Originally presented at The Association of College and University Housing Officers International’s (ACUHO-I) Business Operations Conference in Scottsdale, AZ, in October 2016.
VO2max Trainability and High Intensity Interval Training in Humans: A Meta-An...Fernando Farias
The benefits of an active lifestyle are well documented [1–3].
Many of these benefits are also associated with higher levels of
cardiorespiratory fitness (VO2max) which may exert protective
effects that are independent of traditional risk factors [3,4].
Additionally, for individuals with low physical fitness, even modest
improvements in fitness can have substantial health benefits.
However, some individuals may have a limited ability to increase
their cardiorespiratory fitness (trainability) in response to endurance
exercise training
Dr. Joseph C. Fleishaker - Pfizer Inc., Speaker at the marcus evans Discovery Summit Fall 2011, delivers his presentation on From In Silco to In Vivo – Modeling and Simulation Technologies, a Tool for Optimized Drug Development
BioVariance - Pediatric Pharmacogenomics in Drug DiscoveryJosef Scheiber
This slideset gives an overview of pharmacogenomic and pediatric dosing knowledge and various influence factors. Finally it shows an example on how to use this kind of Data within predictive approaches.
A meta-analysis is the use of statistical methods to summaries the results of the studies. Meta-analyses are conducted to assess the strength of evidence present on a disease and treatment. The results of a meta-analysis can improve precision of estimates of effect, answer questions not posed by the individual studies, settle controversies arising from apparently conflicting studies, and generate new hypotheses. In particular, the examination of heterogeneity is vital to the development of new hypotheses.
Biostatistics is also known as biometry, the development and application of statistical methods to a wide range of topics in biology. It encompasses the design of biological experiments, the collection and analysis of data from those experiments and the interpretation of the results.
Keynote presented at the Phenotype Foundation first annual meeting.
Describes data sharing, data annotation and the needs for further tool and ontology and ontology mapping development.
Amsterdam, January 18, 2016
WikiPathways: how open source and open data can make omics technology more us...Chris Evelo
Presentation about collaborative development of open source pathway analysis code and pathways and about usage in analytical software distributed with analytical machines like mass spectrophotometers.
Presentation pathway extensions using knowledge integration and network approaches presented at the Systems Biology Institute in Luxembourg on November 28 2012.
Using ontologies to do integrative systems biologyChris Evelo
To really get ahead with complex health problems like cancer and diabetes we need to become better at combining different types of studies, including large scale genomics and genetics studies and we need to learn to better combine such studies with biological knowledge we already. Typically that leads to questions like “I did this study with high-fat low fat diet comparison in mice and looked at the transcriptomics results in liver, fat and muscle. Did somebody else maybe do a study like that and publish the data, maybe for proteomics? Could I find that in one of these open data repositories?”. Or, “I did that, can I find which biological pathways are affected most and whether any of the proteins in that pathway is a known target for an existing drug?”. Or even “I did that study, could I find another study that yielded the same kind of biological results even if it was from a different research field with a completely different result?”.
To answer this kind of questions we need to describe studies and study results, structure knowledge allow mapping of “equal” things with different identifier schemes and essentially do a lot of mapping to and between ontologies. More and more of this is getting real and I will try to describe some of that.
Homepage for this webinar is here: http://www.bioontology.org/ontologies-in-integrative-systems-biology
It is part of this series: http://www.bioontology.org/webinar-series
Anti ulcer drugs and their Advance pharmacology ||
Anti-ulcer drugs are medications used to prevent and treat ulcers in the stomach and upper part of the small intestine (duodenal ulcers). These ulcers are often caused by an imbalance between stomach acid and the mucosal lining, which protects the stomach lining.
||Scope: Overview of various classes of anti-ulcer drugs, their mechanisms of action, indications, side effects, and clinical considerations.
Couples presenting to the infertility clinic- Do they really have infertility...Sujoy Dasgupta
Dr Sujoy Dasgupta presented the study on "Couples presenting to the infertility clinic- Do they really have infertility? – The unexplored stories of non-consummation" in the 13th Congress of the Asia Pacific Initiative on Reproduction (ASPIRE 2024) at Manila on 24 May, 2024.
Pulmonary Thromboembolism - etilogy, types, medical- Surgical and nursing man...VarunMahajani
Disruption of blood supply to lung alveoli due to blockage of one or more pulmonary blood vessels is called as Pulmonary thromboembolism. In this presentation we will discuss its causes, types and its management in depth.
Lung Cancer: Artificial Intelligence, Synergetics, Complex System Analysis, S...Oleg Kshivets
RESULTS: Overall life span (LS) was 2252.1±1742.5 days and cumulative 5-year survival (5YS) reached 73.2%, 10 years – 64.8%, 20 years – 42.5%. 513 LCP lived more than 5 years (LS=3124.6±1525.6 days), 148 LCP – more than 10 years (LS=5054.4±1504.1 days).199 LCP died because of LC (LS=562.7±374.5 days). 5YS of LCP after bi/lobectomies was significantly superior in comparison with LCP after pneumonectomies (78.1% vs.63.7%, P=0.00001 by log-rank test). AT significantly improved 5YS (66.3% vs. 34.8%) (P=0.00000 by log-rank test) only for LCP with N1-2. Cox modeling displayed that 5YS of LCP significantly depended on: phase transition (PT) early-invasive LC in terms of synergetics, PT N0—N12, cell ratio factors (ratio between cancer cells- CC and blood cells subpopulations), G1-3, histology, glucose, AT, blood cell circuit, prothrombin index, heparin tolerance, recalcification time (P=0.000-0.038). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and PT early-invasive LC (rank=1), PT N0—N12 (rank=2), thrombocytes/CC (3), erythrocytes/CC (4), eosinophils/CC (5), healthy cells/CC (6), lymphocytes/CC (7), segmented neutrophils/CC (8), stick neutrophils/CC (9), monocytes/CC (10); leucocytes/CC (11). Correct prediction of 5YS was 100% by neural networks computing (area under ROC curve=1.0; error=0.0).
CONCLUSIONS: 5YS of LCP after radical procedures significantly depended on: 1) PT early-invasive cancer; 2) PT N0--N12; 3) cell ratio factors; 4) blood cell circuit; 5) biochemical factors; 6) hemostasis system; 7) AT; 8) LC characteristics; 9) LC cell dynamics; 10) surgery type: lobectomy/pneumonectomy; 11) anthropometric data. Optimal diagnosis and treatment strategies for LC are: 1) screening and early detection of LC; 2) availability of experienced thoracic surgeons because of complexity of radical procedures; 3) aggressive en block surgery and adequate lymph node dissection for completeness; 4) precise prediction; 5) adjuvant chemoimmunoradiotherapy for LCP with unfavorable prognosis.
Ethanol (CH3CH2OH), or beverage alcohol, is a two-carbon alcohol
that is rapidly distributed in the body and brain. Ethanol alters many
neurochemical systems and has rewarding and addictive properties. It
is the oldest recreational drug and likely contributes to more morbidity,
mortality, and public health costs than all illicit drugs combined. The
5th edition of the Diagnostic and Statistical Manual of Mental Disorders
(DSM-5) integrates alcohol abuse and alcohol dependence into a single
disorder called alcohol use disorder (AUD), with mild, moderate,
and severe subclassifications (American Psychiatric Association, 2013).
In the DSM-5, all types of substance abuse and dependence have been
combined into a single substance use disorder (SUD) on a continuum
from mild to severe. A diagnosis of AUD requires that at least two of
the 11 DSM-5 behaviors be present within a 12-month period (mild
AUD: 2–3 criteria; moderate AUD: 4–5 criteria; severe AUD: 6–11 criteria).
The four main behavioral effects of AUD are impaired control over
drinking, negative social consequences, risky use, and altered physiological
effects (tolerance, withdrawal). This chapter presents an overview
of the prevalence and harmful consequences of AUD in the U.S.,
the systemic nature of the disease, neurocircuitry and stages of AUD,
comorbidities, fetal alcohol spectrum disorders, genetic risk factors, and
pharmacotherapies for AUD.
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Ozempic: Preoperative Management of Patients on GLP-1 Receptor Agonists Saeid Safari
Preoperative Management of Patients on GLP-1 Receptor Agonists like Ozempic and Semiglutide
ASA GUIDELINE
NYSORA Guideline
2 Case Reports of Gastric Ultrasound
New Directions in Targeted Therapeutic Approaches for Older Adults With Mantl...i3 Health
i3 Health is pleased to make the speaker slides from this activity available for use as a non-accredited self-study or teaching resource.
This slide deck presented by Dr. Kami Maddocks, Professor-Clinical in the Division of Hematology and
Associate Division Director for Ambulatory Operations
The Ohio State University Comprehensive Cancer Center, will provide insight into new directions in targeted therapeutic approaches for older adults with mantle cell lymphoma.
STATEMENT OF NEED
Mantle cell lymphoma (MCL) is a rare, aggressive B-cell non-Hodgkin lymphoma (NHL) accounting for 5% to 7% of all lymphomas. Its prognosis ranges from indolent disease that does not require treatment for years to very aggressive disease, which is associated with poor survival (Silkenstedt et al, 2021). Typically, MCL is diagnosed at advanced stage and in older patients who cannot tolerate intensive therapy (NCCN, 2022). Although recent advances have slightly increased remission rates, recurrence and relapse remain very common, leading to a median overall survival between 3 and 6 years (LLS, 2021). Though there are several effective options, progress is still needed towards establishing an accepted frontline approach for MCL (Castellino et al, 2022). Treatment selection and management of MCL are complicated by the heterogeneity of prognosis, advanced age and comorbidities of patients, and lack of an established standard approach for treatment, making it vital that clinicians be familiar with the latest research and advances in this area. In this activity chaired by Michael Wang, MD, Professor in the Department of Lymphoma & Myeloma at MD Anderson Cancer Center, expert faculty will discuss prognostic factors informing treatment, the promising results of recent trials in new therapeutic approaches, and the implications of treatment resistance in therapeutic selection for MCL.
Target Audience
Hematology/oncology fellows, attending faculty, and other health care professionals involved in the treatment of patients with mantle cell lymphoma (MCL).
Learning Objectives
1.) Identify clinical and biological prognostic factors that can guide treatment decision making for older adults with MCL
2.) Evaluate emerging data on targeted therapeutic approaches for treatment-naive and relapsed/refractory MCL and their applicability to older adults
3.) Assess mechanisms of resistance to targeted therapies for MCL and their implications for treatment selection
MANAGEMENT OF ATRIOVENTRICULAR CONDUCTION BLOCK.pdfJim Jacob Roy
Cardiac conduction defects can occur due to various causes.
Atrioventricular conduction blocks ( AV blocks ) are classified into 3 types.
This document describes the acute management of AV block.
Explore natural remedies for syphilis treatment in Singapore. Discover alternative therapies, herbal remedies, and lifestyle changes that may complement conventional treatments. Learn about holistic approaches to managing syphilis symptoms and supporting overall health.
Prix Galien International 2024 Forum ProgramLevi Shapiro
June 20, 2024, Prix Galien International and Jerusalem Ethics Forum in ROME. Detailed agenda including panels:
- ADVANCES IN CARDIOLOGY: A NEW PARADIGM IS COMING
- WOMEN’S HEALTH: FERTILITY PRESERVATION
- WHAT’S NEW IN THE TREATMENT OF INFECTIOUS,
ONCOLOGICAL AND INFLAMMATORY SKIN DISEASES?
- ARTIFICIAL INTELLIGENCE AND ETHICS
- GENE THERAPY
- BEYOND BORDERS: GLOBAL INITIATIVES FOR DEMOCRATIZING LIFE SCIENCE TECHNOLOGIES AND PROMOTING ACCESS TO HEALTHCARE
- ETHICAL CHALLENGES IN LIFE SCIENCES
- Prix Galien International Awards Ceremony
A real life example to show the added value of the Phenotype Database (dbNP). Presented at ICSB Copenhagen, 2013
1. • Combined studies in the Phenotype Database can be used as virtual cohort
• We show that meta-analysis on plasma glucose data of studies in which an OGTT is
performed is possible, although we have to look into some detail of the covariates
• The Phenotype Database contains studies (OGTT with time resolved data for glucose,
insulin and metabolomics) and the relevant subjects to answer our biological research
question (see future work)
NuGO has initiated the development of the Phenotype Database (dbNP). This database is developed together with several other consortia (e.g. Netherlands Metabolomics Centre)
and is currently used within several European projects, such as Food4me, NU-AGE, Bioclaims and Nutritech.
The Phenotype Database (www.dbnp.org) is a web-based application/database that can store any biological study. We used this application to perform an analysis on a
combination of several studies with the objective to test if it is possible to answer new research questions using a ‘virtual cohort’.
Study comparison:
The assessment of the health status of an individual is an important but challenging issue. Nowadays, challenge tests are proposed as a method to assess and quantify health
status. We would like to find mechanistic explanations for differences in clinical subgroups and to develop a metabolomics platform based fingerprint at baseline that represents
important parameters of the challenge test. Currently, there is not one single study available that includes enough subjects from specific clinical subgroups to develop such a
fingerprint or study the biological processes specific for those subgroups. Therefore, we developed a toolbox that facilitates the combined analysis of multiples studies.
A real life example to show the added value
of the Phenotype Database (dbNP)
Bas Kremer, Robert Ernst, Thomas Kelder, Jeroen Wesbeek, Kees van Bochove, Carina
Rubingh, Ruud Boessen, Chris Evelo, Ben van Ommen, Margriet Hendriks, Suzan Wopereis,
Jildau Bouwman and many others of the Phenotype Foundation
Introduction
TNO Quality of Life
Microbiology &
Systems Biology
Zeist, The Netherlands
jildau.bouwman@tno.nl
Studies stored in a structured way
The concept: Challenge tests
Complex data analysis: suitable for virtual cohort?
Conclusions & Discussion
Glucose
3
4
5
6
7
8
Admit Study 3 Study 4
Study
Value(mmol/l)
Gender
Female
Male
Glucose
0.0
0.5
1.0
3 4 5 6 7 8
Value (mmol/l)
Density
Study − Gender
Admit − Female
Admit − Male
Study 3 − Female
Study 3 − Male
Study 4 − Female
Study 4 − Male
Base model: value = Study_1 * time0 + healthy + BMI : Normal
Value Std.Error DF t-value p-value
Study_1
study_2 -0.06 0.42 156 -0.14 0.89
study_3 -0.77 0.57 156 -1.35 0.18
Time: 0
Time: 30 2.14 0.60 470 3.57 0.00 **
Time: 60 1.98 0.54 470 3.67 0.00 **
Time: 120 -0.19 0.44 470 -0.44 0.66
Healthy
Diabetes 3.04 0.60 156 5.09 0.00 **
Prediabetes 1.21 0.21 156 5.71 0.00 **
BMI: Normal
BMI: Morbid obese 1.02 0.49 156 2.07 0.04 *
BMI: Obese 0.78 0.29 156 2.71 0.01 *
BMI: Overweight 0.22 0.20 156 1.12 0.26
BMI: Underweight -0.23 0.35 156 -0.67 0.51
Study1:Time30
Study_2:time30 0.15 0.62 470 0.24 0.81
Study_3:time30 1.28 0.72 470 1.77 0.08 #
Study1:Time60
Study_2:time60 -1.08 0.56 470 -1.94 0.05 #
Study_3:time60 1.64 0.67 470 2.44 0.02 *
Study1:Time120
Study_2:time120 0.00 0.47 470 0.01 0.99
Study_3:time120 2.00 0.60 470 3.34 0.00 **
To test if it is possible to use data from the virtual cohort for complex data-analysis we evaluated the plasma glucose response to
the OGTT and looked at different covariates where differences were to be expected. A linear mixed model was used to model the
plasma glucose response. The model included Study (1, 2 and 3), Time (0, 30, 60 and 120 minutes), Health status (healthy,
diabetic and prediabetic), BMI group (normal, underweight, overweight, obese and morbid obese) and the Study*Time interaction
as fixed factors and a random Subject intercept. Gender and Age were evaluated as well, but were excluded from the final model
since both did not significantly improve the model’s performance. Significant differences are indicated with stars. As expected
significant differences (α = 0.05) were found between:
• Subjects with a normal BMI level and subjects with an obese or morbid obese BMI level
• Healthy subjects and subjects classified with prediabetes and diabetes
• Baseline and time points 30 and 60 minutes
The Study*Time interaction effect was significant for Study_3 and time points 60 and 120 minutes. This means that subjects of
this study differed significantly in their plasma glucose response at these time points from the subjects of the other studies. We
should analyze whether meta-data can explain these differences in Study 3.
The complex data analysis shows that we can find health related differences in response to OGTT (based on the single
parameter glucose) by combining studies. The next step is to include metabolomics data and define subgroups.
*) P < 0.05
**) P < 0.01
#) P <0.1 (trend)
The Phenotype Database stores data in a structured
way. The wizard guides you through all the essential
parts of the study upload. Parts of the study design
can also be uploaded from Excel sheets. This
system stores individual data, which facilitates it’s
use as a virtual cohort.
Templates in the Phenotype
Database structure the data in all
steps. Template administrators
can adjust the information
included in the study by adding a
‘field’ to the templates. A link to
BioPortal makes it possible to use
ontologies as input in the system.
Studies can be made accessible to specific
people/research groups or to the whole world.
Individual subject data can be made available
through this system
Statistical analysis of the combined data can be
performed in R which is connected to the
database via a web service (API).
Currently, 40 (nutritional) studies are included in
the database of which 7 include a challenge
test.
Health can be defined as: ‘the ability to adapt and self-manage in the face of social, physical, and emotional challenges’ (Huber et
al. 2011). To test health in this perspective, challenge tests are widely used in research and health care nowadays. The amplitude
or time to get to normal values are examples of parameters that can be used as health parameter and can be markers for the
functioning of a certain health related process. The Oral Glucose Tolerance Test (OGTT) is the most well-known challenge test.
Baseline: studies can be combined
Density and box plots from 3 different studies from the Phenotype Database (dbNP) that show plasma glucose
concentrations at baseline of the OGTT. Baseline differences in the glucose concentration ranges are observed between the
studies at baseline, but the ranges show an overlap between the studies. Similar trends in gender differences are seen in all
three studies: male subjects in general have a slightly higher glucose level.
As an overlap in the baseline levels between the studies is observed, a further study comparison can be performed.
Description Fasting glucose (mmol/l) Glucose 120 min after OGTT (mmol/l)
Diabetes (T2DM) 7,0 > 11.0
IGT (Impaired glucose tolerance) < 5.6 (normal) 7.8 – 11.0
IFG (impaired fasting glucose) 5.6 – 6.9 < 7.8
IGT&IFG 5.6 – 6.9 7.8 – 11.0
Normal < 5.6 < 7.8
Study 1
Study 3 All studies
Study 2
Analysis of the distribution of (pre)diabetic subgroups in 3 different studies.
We would like to use the virtual cohort to look into the mechanism underlying different clinical (pre)diabetic subgroups by
analyzing metabolic responses to the challenge. In addition, we would like to use these data to try to find metabolomics
platform based fingerprints at baseline that represents important phenotype related parameters of the clinical subgroups.
The 3 studies represent all 5 (pre)diabetic subgroups and therefore can be used to answer our biological question.
Future work
• How different are the subgroups metabolically in the available studies at baseline?
• Are the subgroups different in metabolic response to the OGTT in the available
studies?
• Can we find differences in biological mechanisms in different subgroups?
• Can we predict some of the OGTT health parameters with a metabolomics platform
based fingerprint at baseline?
Defining clinical (pre)diabetic subgroups
Study_1 Study_2 Study_3
Study_1-Female
Study_1-Male
Study_2-Female
Study_2-Male
Study_3-Female
Study_3-Male