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Precision/Personalized
Medicine for Intensive
Care
Koumail Yassine
5th year doz 3
What is Precision or Personalized
medicine Medicine? A form of medicine that uses
information about a person's own
genes or proteins to prevent,
diagnose, or treat disease.
Importance of diagnostics in Precision
medicine
The following molecules can be analyzed and used as biomarkers:
biomolecules
entire gene sets (Genomic)
gene transcripts and transcript intensity (Transcriptomic)
proteins (Proteomic)
metabolites (Metabolomic)
Big Data! data obtained from genome sequencing and the help of
currently available omics technologies
All the information we can obtain about one patient,
including from all levels of genomics and clinical
records, should be stored in one place so it is accessibl
at any time.
• Types of biosensors and their applications.
Precision Medicine in
Intensive Care Unit
Intensive care medicine is still a relatively young specialty but in its short lifetime has
evolved rapidly
Recent advances in technology and better understanding of mechanisms underlying
disease
Although patients are individuals, traditionally we have tended to “label” them
according to their disease or condition and often treated them accordingly
Shakoory et al experiment
Specific Conditions that must be met in
critically ill patients
Coronary artery disease
• coronary artery disease is produced by a complex of factors, one of the most
important of which is the hereditary factor [1]
mutations in the low-density lipoprotein (LDL) receptor gene or the apolipoprotein
(apo) B gene [2]
Familial hyperhomocystinuria associated with mutations in the 5,10-
methylenetetrahydrofolate reductase gene [3]
A type of coronary artery disease related to the MADS box transcription enhancer
factor 2, polypeptide A gene (MEF2A) [4]
Post-operative Atrial Fibrillation
Genetic variations are thought to play a key role in PAF
Genetic alterations of any of the involved genes can be identified by genome wide
association studies (GWAS) or by single-nucleotide polymorphisms (SNP) [1]
Based on personalized approaches to biodata analysis, GWAS and SNP, researchers
were able to identify an SNP in the LY96 gene and a supplementary gene–gene
interaction with NFkB1, on the signaling pathway of PAF [2]
Acute Kidney Injury
This disorder is confirmed to have a strong link in terms of its appearance in patients
who have undergone a coronary artery bypass graft [1]
AKI is triggered by a range of factors, age, obesity, chronic kidney disease, preexistent
heart pathologies, and systemic inflammation [2]
GWAS analysis performed on AKI found identified new loci associated with post
CABG-AKI [3]
Sepsis
Enrichment approach method for precision medicine in septic
patients
• The physiopathology of sepsis can be understood as a
complex maze
• Although extensive research has been
• conducted on sepsis, results are limited with respect to the
prevention and management of this syndrome [1]
• Metabolomic and proteomic studies of septic patients
revealed a set of biomarkers to be used to determine the
mortality prognosis of such critically ill patients and to
improve survival [2]
prognostic and predictive enrichment of
sepsis
Pain • Genome-wide association studies (GWAS) on pain-specific
mechanismsrevealed that a three-SNP haplotype of
catecholamine O-methyltransferase is correlated with a 30-
fold sensitivity to pain in humans [1]
• Another method is constituted of whole genome
sequencing. With this approach, rare gene variants were
identified in the angiotensin pathway alone, an enzyme
linked with pain in animal models [2]
Hemodynamic Optimization
Currently, the success of goal-directed therapy, in terms of hemodynamics, is defined
as a mean arterial pressure of at least 65 mmHg [1]
A possible solution to this problem is cardiac modeling based on a set of
mathematical relations The result incorporates all this specific data on the studied
individual, resulting in a heart model that matches their unique patient features [2]
Fluid Resuscitation
Fluid resuscitation constitutes one of the most used treatments in ICUs.
Many large studies have proposed different strategies for fluid administration in
critically ill patients
When critically ill patients were grouped based on their diagnosis, the results were
mostly negative; however, scientists observed that in some individuals, the proposed
interventions were successful.
Biomarkers were subsequently identified based on these subgroups
Ethics of Precision Medicine
different patients might receive a different course of treatment for the same disease
on the basis of the patient’s genetic characteristics
Personalized medicine shifts the balance of responsibility from the doctor to the
patient
genetic material donated and stored in biobanks issues related to donor consent
when it comes to the use of stored biodata.
However, these look very logical and unavoidable compromises if we take the benefits
of PM into perspective
Future of Precision Medicine
Thank You

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precision medicine in ICU.pptx

  • 2. What is Precision or Personalized medicine Medicine? A form of medicine that uses information about a person's own genes or proteins to prevent, diagnose, or treat disease.
  • 3. Importance of diagnostics in Precision medicine The following molecules can be analyzed and used as biomarkers: biomolecules entire gene sets (Genomic) gene transcripts and transcript intensity (Transcriptomic) proteins (Proteomic) metabolites (Metabolomic)
  • 4. Big Data! data obtained from genome sequencing and the help of currently available omics technologies All the information we can obtain about one patient, including from all levels of genomics and clinical records, should be stored in one place so it is accessibl at any time.
  • 5. • Types of biosensors and their applications.
  • 7. Intensive care medicine is still a relatively young specialty but in its short lifetime has evolved rapidly Recent advances in technology and better understanding of mechanisms underlying disease Although patients are individuals, traditionally we have tended to “label” them according to their disease or condition and often treated them accordingly Shakoory et al experiment
  • 8. Specific Conditions that must be met in critically ill patients
  • 9. Coronary artery disease • coronary artery disease is produced by a complex of factors, one of the most important of which is the hereditary factor [1] mutations in the low-density lipoprotein (LDL) receptor gene or the apolipoprotein (apo) B gene [2] Familial hyperhomocystinuria associated with mutations in the 5,10- methylenetetrahydrofolate reductase gene [3] A type of coronary artery disease related to the MADS box transcription enhancer factor 2, polypeptide A gene (MEF2A) [4]
  • 10. Post-operative Atrial Fibrillation Genetic variations are thought to play a key role in PAF Genetic alterations of any of the involved genes can be identified by genome wide association studies (GWAS) or by single-nucleotide polymorphisms (SNP) [1] Based on personalized approaches to biodata analysis, GWAS and SNP, researchers were able to identify an SNP in the LY96 gene and a supplementary gene–gene interaction with NFkB1, on the signaling pathway of PAF [2]
  • 11. Acute Kidney Injury This disorder is confirmed to have a strong link in terms of its appearance in patients who have undergone a coronary artery bypass graft [1] AKI is triggered by a range of factors, age, obesity, chronic kidney disease, preexistent heart pathologies, and systemic inflammation [2] GWAS analysis performed on AKI found identified new loci associated with post CABG-AKI [3]
  • 12. Sepsis Enrichment approach method for precision medicine in septic patients • The physiopathology of sepsis can be understood as a complex maze • Although extensive research has been • conducted on sepsis, results are limited with respect to the prevention and management of this syndrome [1] • Metabolomic and proteomic studies of septic patients revealed a set of biomarkers to be used to determine the mortality prognosis of such critically ill patients and to improve survival [2]
  • 13. prognostic and predictive enrichment of sepsis
  • 14. Pain • Genome-wide association studies (GWAS) on pain-specific mechanismsrevealed that a three-SNP haplotype of catecholamine O-methyltransferase is correlated with a 30- fold sensitivity to pain in humans [1] • Another method is constituted of whole genome sequencing. With this approach, rare gene variants were identified in the angiotensin pathway alone, an enzyme linked with pain in animal models [2]
  • 15. Hemodynamic Optimization Currently, the success of goal-directed therapy, in terms of hemodynamics, is defined as a mean arterial pressure of at least 65 mmHg [1] A possible solution to this problem is cardiac modeling based on a set of mathematical relations The result incorporates all this specific data on the studied individual, resulting in a heart model that matches their unique patient features [2]
  • 16. Fluid Resuscitation Fluid resuscitation constitutes one of the most used treatments in ICUs. Many large studies have proposed different strategies for fluid administration in critically ill patients When critically ill patients were grouped based on their diagnosis, the results were mostly negative; however, scientists observed that in some individuals, the proposed interventions were successful. Biomarkers were subsequently identified based on these subgroups
  • 17. Ethics of Precision Medicine different patients might receive a different course of treatment for the same disease on the basis of the patient’s genetic characteristics Personalized medicine shifts the balance of responsibility from the doctor to the patient genetic material donated and stored in biobanks issues related to donor consent when it comes to the use of stored biodata. However, these look very logical and unavoidable compromises if we take the benefits of PM into perspective

Editor's Notes

  1. https://doi.org/10.3390/pr10061200
  2. https://doi.org/10.3390/pr10061200
  3. https://doi.org/10.3390/pr10061200
  4. https://doi.org/10.3390/pr10061200
  5. https://doi.org/10.1186/s13054-017-1910-z Shakoory et al experiment : doi: 10.1097/CCM.0000000000001402
  6. [1] DOI: 10.1161/CIRCULATIONAHA.105.171600 [2] DOI: 10.1126/science.3513311 [3] https://doi.org/10.1515/CCLM.2006.194 [4] DOI: 10.1126/science.1088477
  7. [1] https://doi.org/10.1038/ng.2261 [2] https://doi.org/10.1016/j.ahj.2015.06.009
  8. [1] https://doi.org/10.1016/j.athoracsur.2009.12.018 [2]  DOI: https://doi.org/10.2215/CJN.05411008 [3] https://doi.org/10.1038/ki.2015.161
  9. [1] DOI: https://doi.org/10.2478/jccm-2019-0017 [2] https://doi.org/10.1016/S1473-3099(12)70157-3
  10. https://doi.org/10.1038/s41581-019-0199-3 DOI: 10.1186/cc11652 DOI: 10.1097/CCM.0000000000001852
  11. https://doi.org/10.1016/j.ejps.2017.05.027 [1] http://dx.doi.org/10.1136/jmedgenet-2011-100386 [2] https://doi.org/10.1002/j.1532-2149.2012.00269.x
  12. [1] doi: 10.1007/978-3-319-73670-9_48 [2]  https://doi.org/10.1002/mrm.20209
  13. doi: 10.1097/CCM.0000000000001402