scholarly journals Data Management for Systems Medicine: The SMART-CARE Joint Environment

Author(s):  
Friedemann Ringwald ◽  
Felix Czernilofsky ◽  
Aleksei Dudchenko ◽  
Matthias Ganzinger ◽  
Sascha Dietrich ◽  
...  

For a research project on mass spectrometry, a streamlined, harmonized and robust analytical pipeline is built to predict tumor recurrence. By means of standardization all steps from sample collection, analysis, proteome, and metabolome analysis are harmonized. Challenges like non-central identificators and distributed data are overcome with a centralized high-performant IT-platform in combination with a pseudonymization service and harmonization.

1986 ◽  
Vol 25 (03) ◽  
pp. 171-175
Author(s):  
I. Steinhart ◽  
G. Bosch ◽  
Th. Muhr ◽  
E. Mohlfeld

SummaryThe possible conclusions reached by catamnestical studies are often significantly restricted because of the lack of representativeness of the sample. The example of an investigation of former patients of the Department of Social Psychiatry proves that positive responses to an interview are influenced by various factors. As expected, patients were more inclined to participate in the research project the closer their discharge was to the time of the project itself. Further, it became clear that various different approach strategies, such as letters, enquiries with the registration authorities, phone calls and house visits, effectively increased the motivation of former patients, and that only this kind of graded registration procedure guarantees motivation leading to a sample representative of the total population. Personal contact plays an especially important role. These empirical findings indicate the necessity of careful planning and implementation of sample collection in catamnestical studies. Without this approach, representative results cannot be expected.


2003 ◽  
Vol 16 (1) ◽  
pp. 28-34 ◽  
Author(s):  
Fabien K Baksh ◽  
Sanja Dacic ◽  
Sydney D Finkelstein ◽  
Patricia A Swalsky ◽  
Siva Raja ◽  
...  

2012 ◽  
Vol 58 (2) ◽  
pp. 353-365 ◽  
Author(s):  
Ana Konvalinka ◽  
James W Scholey ◽  
Eleftherios P Diamandis

Abstract BACKGROUND Technological advances have resulted in a renaissance of proteomic studies directed at finding markers of disease progression, diagnosis, or responsiveness to therapy. Renal diseases are ideally suited for such research, given that urine is an easily accessible biofluid and its protein content is derived mainly from the kidney. Current renal prognostic markers have limited value, and renal biopsy remains the sole method for establishing a diagnosis. Mass spectrometry instruments, which can detect thousands of proteins at nanomolar (or even femtomolar) concentrations, may be expected to allow the discovery of improved markers of progression, diagnosis, or treatment responsiveness. CONTENT In this review we describe the strengths and limitations of proteomic methods and the drawbacks of existing biomarkers, and provide an overview of opportunities in the field. We also highlight several proteomic studies of biomarkers of renal diseases selected from the plethora of studies performed. SUMMARY It is clear that the field of proteomics has not yet fulfilled its promise. However, ongoing efforts to standardize sample collection and preparation, improve study designs, perform multicenter validations, and create joint industry–regulatory bodies offer promise for the recognition of novel molecules that could change clinical nephrology forever.


2014 ◽  
Vol 513 (3) ◽  
pp. 032095 ◽  
Author(s):  
Wataru Takase ◽  
Yoshimi Matsumoto ◽  
Adil Hasan ◽  
Francesca Di Lodovico ◽  
Yoshiyuki Watase ◽  
...  

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