Registration for a live webinar on 'Innovative Vaccines and Viral Pathogenesis: Insights from Recent Monkeypox Research' is now open.
See webinar detailsWe noted you are experiencing viewing problems
-
Check with your IT department that JWPlatform, JWPlayer and Amazon AWS & CloudFront are not being blocked by your network. The relevant domains are *.jwplatform.com, *.jwpsrv.com, *.jwpcdn.com, jwpltx.com, jwpsrv.a.ssl.fastly.net, *.amazonaws.com and *.cloudfront.net. The relevant ports are 80 and 443.
-
Check the following talk links to see which ones work correctly:
Auto Mode
HTTP Progressive Download Send us your results from the above test links at access@hstalks.com and we will contact you with further advice on troubleshooting your viewing problems. -
No luck yet? More tips for troubleshooting viewing issues
-
Contact HST Support access@hstalks.com
-
Please review our troubleshooting guide for tips and advice on resolving your viewing problems.
-
For additional help, please don't hesitate to contact HST support access@hstalks.com
We hope you have enjoyed this limited-length demo
This is a limited length demo talk; you may
login or
review methods of
obtaining more access.
Printable Handouts
Navigable Slide Index
- Introduction
- Antidepressants (and all >100 psych drugs)
- Variability
- Clinical-demographic predictors of response
- Sociodemographic predictors
- Clinical predictors
- Precision medicine
- Pharmacogenetics (PGx)
- PGx in clinical guidelines
- PGx biomarkers in drug labels (FDA)
- Psychotropic drugs
- Antidepressant efficacy & plasma levels: correlation
- Practicalities: when to recommend PGx testing?
- Pharmacodynamics?
- 5-HTTLPR variants explained 7% of the variance of antidepressant efficacy
- 5-HTTLPR effects
- Genome-Wide Association Studies (GWAS)
- Polygenic risk scores
- GWAS studies
- GWAS TRD summary
- What evidence supports a role of genetics in treatment outcomes?
- Whole exome sequencing
- Role of the identified top GO gene sets
- Predictive model validity
- Other factors that can modulate the clinical picture
- Personalized antidepressant treatments
- Polygenic risk scores (PRS) in psychiatry
- Potential use of PRS for predicting treatment response in MDD
- TRD in the UKB primary care EHRs
- Potential use of PRS for predicting treatment response in MDD
- Non-response in MDD patients according to SCZ PRS quantiles
- Using PRS to treat other disorders
- Non-pharmacological treatments for depression
- Drug repositioning for TRD
- A prediction algorithm?
- Combining psychotherapy and pharmacotherapy
- Available pharmacogenetic tests
- Genetic algorithms to predict antidepressant response and side effects
- Is pharmacogenetic testing ready for a store near you?
- Criticism to the commercially available pharmacogenetics
- Misleading guidance from pharmacogenomic testing
- Precision psychiatry in clinical practice
- Precision psychiatry in clinical practice: the future
- How to utilize clinical and genetic information for personalized treatment of MDD
- Portable real-time biological analyses
- Perspective
- Conclusion
- Disclosures
Topics Covered
- Antidepressants
- Clinical-demographic predictors
- Sociodemographic predictors
- Precision medicine
- Pharmacogenetics (PGx)
- Psychotropic drugs
- Pharmacodynamics
- Genome-wide association studies (GWAS)
- Polygenic risk scores (PRS)
- Personalized antidepressant treatments
- Precision psychiatry
Links
Series:
Categories:
Therapeutic Areas:
External Links
Talk Citation
Serretti, A. (2024, October 31). Pharmacogenetics of antidepressants [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved November 12, 2024, from https://doi.org/10.69645/CVAA8322.Export Citation (RIS)
Publication History
Financial Disclosures
- Prof. Alessandro Serretti has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.
A selection of talks on Neuroscience
Transcript
Please wait while the transcript is being prepared...
0:00
My name is Alessandro
Serretti and I am
a Professor of Psychiatry
at Kore University of Enna,
Italy, and that this
presentation will be
about pharmacogenetics
of antidepressants.
0:15
Why we need pharmacogenetics
or antidepressants?
Well, as a clinician,
I can tell you that it is
quite difficult to
treat patients with
depression because at present
we have to work in a recursive,
in a trial and error
procedure, because usually,
the first antidepressant that we
use is not useful for
all the patients.
Typically, one-third of
the patients respond
quite well to the first
antidepressant that we use,
but two-thirds
don't respond well.
Of this half are responding
to further treatments
and then we have one-third of
patients that are
non-responders,
the so called
treatment-resistant depression.
The other problem
and difficulty is
that the antidepressants
that we use in
our everyday clinical practice
are indeed quite as
slow in their action.
We need at least 2, 3,
sometime four weeks
or even more before
seeing the effect of
the treatment that we
are administering.
So it's clear also from
the slide that we are
starting from the first
antidepressant in
case of people with
depression that is being
treated for depression and
that can be chosen
a wide range of
antidepressants at present
in many markets worldwide,
we have more than
40 antidepressants.
Usually the clinician
chooses one that is
supposedly the best for the
patient and then waits,
or increases the
dose if needed to
see if the treatment
is tolerated or not,
and then it happens as I told
before that two-thirds of
patients indeed do not show
an adequate response to
the first treatment.
Therefore, for non-response
or poor tolerability,
we have to switch to a
second antidepressant.
Again, wait for 2, 3,
4 weeks until we
see the outcome.
Sometime it is needed
to change 2, 3,
4 antidepressants or make
combination or augmentations
or potentiations to achieve
a satisfactory result.
Of course, this is clear
that the current practice
from a clinical perspective
is far from ideal,
and this is exactly
the role of genetics,
so called pharmacogenetics
or antidepressants,
that is the final aim to predict
on the basis of the genetic
background of the subject,
which will be the best
treatment for every patient.
Instead of trying 1, 2, 3,
4 antidepressant and maybe
the fifth antidepressant is
the one that is effective.