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- Clinical Physiology of the Kidneys
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1. Molecular basis of genetic renal diseases 1
- Dr. Paul Jennings
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2. Molecular basis of genetic renal diseases 2
- Dr. Paul Jennings
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3. Assessment of renal function
- Dr. Jochen Raimann
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4. Isolated microhematuria and proteinuria in adults
- Dr. Eva Seiringer
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5. Intradialytic oxygen saturation
- Dr. Lili Chan
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6. Pervasive sensing in chronic kidney disease
- Ms. Maggie Han
- Ms. Schantel Williams
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7. The genetic basis of kidney cancer
- Dr. W. Marston Linehan
- Glomerular Disorders
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8. Focal segmental glomerulosclerosis
- Prof. Moin Saleem
- Tubular Interstitial Disorders
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9. What’s new for IgA nephropathy part 1: epidemiology and pathogenesis
- Prof. Maurizio Salvadori
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10. What’s new for IgA nephropathy part 2: clinical presentation, diagnosis, prognosis, treatment
- Prof. Maurizio Salvadori
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11. Renal complications of sickle cell disease
- Dr. Claire Sharpe
- Acute Kidney Injury
- Chronic Kidney Disease
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13. Pathophysiology of acute renal failure
- Dr. Viviane Calice-Silva
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14. Anaemia in chronic kidney disease
- Prof. Iain Macdougall
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15. Kidney disease and pregnancy: a new era?
- Dr. Kate Bramham
- Renal Cell Carcinoma
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16. The genetics and genomics of familial renal carcinoma
- Prof. Eamonn Maher
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17. Immune checkpoint blockade in renal cell carcinoma
- Prof. David McDermott
- Pharmacology and the Kidney
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19. Toxicology of the kidney
- Prof. Lawrence Lash
- Proteomics and the Kidney
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20. Proteomics in diabetic kidney disease
- Prof. Peter Rossing
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21. Urinary proteomics in kidney and cardiovascular disease
- Prof. Harald Mischak
- Pediatric Nephrology
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22. Continuous renal replacement therapy (CRRT) in children
- Prof. Timothy E. Bunchman
- Archived Lectures *These may not cover the latest advances in the field
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23. Proteomics in kidney disease: clinical considerations
- Prof. Peter Rossing
Printable Handouts
Navigable Slide Index
- Introduction
- Mammals are complex organisms
- Microscopic structures reveal high complexity
- Single biomarkers are of limited specificity
- Limited precision of single marker X
- Increased precision of two markers, X and Y
- Higher precision of 3 markers, X, Y and Z
- Omics technologies or: why proteomics?
- Clinical proteomics: recommended steps
- Clinical diagnosis of diabetic nephropathy
- The course of diabetic nephropathy
- Why urine?
- Why not blood?
- Technology platforms: 2DE-MS
- Technology platforms: LC-MS-MS
- Technology platforms: CE/MS
- CE/MS movie
- CE/MS data flow
- Graphical depiction of CE/MS analysis
- Human urinary LMW proteome database
- Requirements for biomarker selection
- Classification using n-dimensional models
- Valid biomarkers and biomarker models
- How to identify valid proteomic biomarkers (1)
- How to identify valid proteomic biomarkers (2)
- Effect size estimation and the number of samples
- Erroneous biomarkers
- Sample size reflects the number of biomarkers
- Classification using different sizes of training sets
- Classification error depends on sample size
- Example
- Proteomic CKD biomarker discovery
- CKD-biomarkers and their regulation (1)
- CKD-biomarkers and their regulation (2)
- Biomarker validation
- Pathophysiological suggestions
- Selected urinary peptides and CKD staging
- DN progression in diabetes type 2 patients
- Prediction of DN
- CKD biomarker profile vs. AER for DN detection
- Multicentric European PRIORITY trial
- Coronary artery disease
- Proteomics of coronary artery disease
- Assessment of therapy success
- Results
- Summary
Topics Covered
- Omics technologies
- Technology platforms: (2DE-MS, LC-MS-MS, CE/MS)
- Clinical proteomics
- Precision as a function of no. of markers
- Human urinary LMW proteome database
- Requirements for biomarker selection
- How to identify valid proteomic biomarkers
- Effect size estimation and the number of samples
- Erroneous biomarkers
- Classification using different sizes of training sets
- Classification errors
- CKD biomarkers
- Biomarker validation
- Pathophysiological suggestions
- Selected urinary peptides and CKD staging
- Multicentric European PRIORITY trial
- Proteomics of coronary artery disease and of diabetic nephropathy
Links
Series:
Categories:
Therapeutic Areas:
Talk Citation
Mischak, H. (2013, November 5). Urinary proteomics in kidney and cardiovascular disease [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved November 1, 2024, from https://doi.org/10.69645/BTPJ2409.Export Citation (RIS)
Publication History
Financial Disclosures
- Prof. Harald Mischak, Stock Shareholder (Self-managed): Mosaiques Diagnostics.