Primary Objective:Part 1: to characterize platelets of patients with Lowe syndrome using superresolution microscopy.Part 2: to characterize platelet age in patients receiving chemotherapy for AML using artificial intelligence techniques.Secondary…
ID
Source
Brief title
Condition
- Platelet disorders
Synonym
Research involving
Sponsors and support
Intervention
Outcome measures
Primary outcome
For Part 1 as well as Part 2: platelet characteristics using staining of alpha
tubulin and VWF and SPARC.
Secondary outcome
NA
Background summary
Platelets are small, anucleated cells with their primary physiological role to
repair vascular damage (hemostasis) and initiate thrombus formation in response
to vascular injury. During ageing platelets lose platelet surface glycoproteins
and proteins involving platelet granulation, secretion and regulated exocytosis
time as we have previously shown.
Diminished function due to storage, e.g. the platelet storage lesion (PSL), has
major impact on transfusion medicine. Also deficiency in platelet function or
count will lead to bleeding complications, like in patients with immune
thrombocytopenia (ITP). Predicting apparent platelet age will determine whether
platelets are relatively young and thus rapidly cleared, or older assuming due
to decreased production. Patients with rapid clearance may benefit more from
treatment with clearance inhibitors (glucocorticoids and Rituximab), where
patients with older platelets may benefit from treatment to enhance production
such as TPO-RA. In our preliminary in vitro studies we could separate young and
old platelets using novel platelet imaging techniques and artificial
intelligence techniques.
In this research proposal we will first characterize platelets in vivo in
patients with a platelet disorder (Lowe syndrome). Additionally we will
characterize young and old platelets in vivo in patients with acute myeloid
leukemia (AML) receiving chemotherapy. Results of this project will lead to
better understanding of platelets of patients with a platelet disorder (part
1), and will also generate new insights into treatment options for patients
with thrombocytopenia (part 2).
Study objective
Primary Objective:
Part 1: to characterize platelets of patients with Lowe syndrome using
superresolution microscopy.
Part 2: to characterize platelet age in patients receiving chemotherapy for AML
using artificial intelligence techniques.
Secondary Objectives:
Part 1: to evaluate platelet function using flowcytometry and aggregometry.
Part 2: Not applicable
Study design
Single center observational study
Study burden and risks
The burden for Lowe patients in Part 1 is one blood draw during routine
clinical test. The amount of blood is based on the weight, with a maximum of
16mL. This is lower than the maximum amount of blood recommended (appendix 1).
The burden for clinical AML patients in Part 2 is 4,5mL blood draw during
routine clinical test at day 0, 3, 5 and 7 after chemotherapy. And also 1 blood
draw during repopulation, defined as first timepoint of increase of platelet
count and >10 days after platelet transfusion. Finally during steady state one
blood draw, defined as the time when platelet count >150x10E9/L.
Dr. Molewaterplein 40
Rotterdam 3015 GD
NL
Dr. Molewaterplein 40
Rotterdam 3015 GD
NL
Listed location countries
Age
Inclusion criteria
Part 1:
Patients diagnosed with Lowe syndrome
All ages
Part 2:
Patients diagnosed with AML
After first remission induction (RI) cycle
In complete remission after first RI cycle
Exclusion criteria
Part 1:
patients with a known bleeding disorder
Unwilling to give informed consent
Patients using anticoagulants
Part 2:
patients receiving platelet transfusion in the study period
unwilling to give informed consent
Patients using anticoagulants
Design
Recruitment
Followed up by the following (possibly more current) registration
No registrations found.
Other (possibly less up-to-date) registrations in this register
No registrations found.
In other registers
Register | ID |
---|---|
CCMO | NL82620.078.22 |