The goal of this retrospective study is to assess whether a selection of genetic variants may allow us to identify individuals who will have a satisfactory response after GLP-1 treatment in terms of weight loss, sugar level reduction, and adverse events. Participants will The study consists of a single visit at the diabetes unit clinic at the involved study sites. The following will be performed for every subject at the study screening enrollment visit: * Informed consent * Study eligibility (Inclusion / Exclusion criteria) * Collection of demographic data (age (date of birth), gender, ethnic origin) * General and T2DM medical history review (per subject file) * Concomitant medication review (at enrollment) * Physical attributes (Body Weight, Height, BMI) * Allocation to study cohort and study subgroup * Saliva and blood collection for genetic tests * Self-reported questionnaire for Ozempic (Semaglutide) experience
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
OTHER
Masking
NONE
Enrollment
400
DNA extracted from saliva / oral mucosa will be tested for diversities reported in the literature known to be associated with T2DM and Obesity and which may have a potential impact on the response to treatment with Semaglutide. In addition, the DNA will be screened for new diversities that have a potential impact on the response to treatment. working assumption of the study is that there can be 3 types of genetic variants that affect the drug's effectiveness and/or side effects.
Performing small RNA sequencing experiments on an Illumina Next-Generation Sequencing (NGS) machine to investigate microRNAs (miRNAs) or other small non-coding RNAs involves specific steps tailored to the unique characteristics of these molecules
Rambem medical center
Haifa, Israel
RECRUITINGGenetic variants and miRNA expressions associated with changes in BMI.
Identify genetic variants and miRNA expressions that affects the response to GLP-1 treatment associated with changes in BMI.
Time frame: 12 months
Genetic variants and miRNA expressions associated with changes in A1c.
Identify genetic variants and miRNA expressions that affects the response to GLP-1 treatment associated with changes in A1c.
Time frame: 12 months
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