Page 23 - Biennial Report 2018-20 Jun 2021
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arising from a combination of biological factors, social stigma, poor diagnosis, and limited access
                  to effective treatment. Genetic variation in the form of differences in the DNA sequence can
                  affect the severity of major depressive disorder.  Moreover, such variations can also affect the
                  efficacy  of treatment  with the available drugs.   One of the  major biological reasons for
                  depression is thought to be low levels of serotonin.  Serotonin is a neurotransmitter that is
                  released from  one neuron and taken up by  another across synapses.   When  the serotonin
                  released at the synapse, is only partly transmitted across the synapse, the rest is taken up by a
                  process called serotonin  reuptake. Serotonin reuptake inhibitors, thus  ensure prolonged
                  availability of serotonin, counteracting the low levels in the brain of patients suffering from
                  depression.  Thus, genes of the pathway by which neurons make serotonin are prime candidates
                  for finding genetic variations that impact both disease severity and drug efficacy.

                  At IGIB, Ritushree Kukreti is working in close association with clinicians at the All India Institute
                  of Medical Sciences (AIIMS), under the ambit of a ICMR funded project to study distribution of
                  known  functional genetic variants in serotonergic pathway genes, enzymes involved in
                  metabolism, drug transporters genes in depression patients and explore their role in disease
                  susceptibility, serum drug  levels  and inter-individual variability in  therapeutic  response. The
                  project aims firstly, to assess the depression patients treated with optimal antidepressant dosing
                  of escitalopram, fluoxetine and sertraline and monitor their respective serum drug levels at
                  steady state. Further, re-sequencing  of  candidate  loci identified in the initial analyses, is
                  expected to identify additional single nucleotide polymorphisms including novel genetic variants
                  and haplotype blocks in Indian population with a role in disease severity, drug efficacy and safety.
                  Such novel variants may be taken up to perform functional follow-up studies using in-vitro cell
                  culture to understand their biological basis.

                  A well characterized patient cohort is the backbone of such clinical studies. Here, a total pool of
                  194 patients  with  clear major depressive disease diagnosis form a sizable cohort  while  120
                  patients are being followed up to establish if they respond well to the prescribed SSRI (selective
                  serotonin reuptake inhibitor). Patient phenotypes such as age, gender, ethnicity, disease type
                  and subtypes, disease severity, duration of illness, dose, serum drug levels and response to drugs
                  are studied. Further plasma, RNA and DNA were isolated from the blood samples and stored at
                  -80°C for biochemical, gene expression and genotypic studies, respectively. Moreover, genetic
                  variants for drug response would be screened using a commercially available Bead Chip array
                  called Illumina Infinium Global Screening Array (GSA). GSA contains the multi-ethnic genome-
                  wide content, curated clinical research variants and quality control (QC) markers for precision
                  medicine research. This chip is an advanced genotyping array that includes ~6,50,000 markers.
                  It can help in pharmacogenomics research, disease characterization, disease association and risk
                  profiling studies, and markers for complex disease discovery. Along with this, optimization of
                  real-time polymerase chain reaction (RT-PCR) for genes involved in serotonergic pathways to
                  look at static as well as dynamic information is also a part of this study, which is aimed at
                  biomarker identification.


                  CENTRE OF EXCELLENCE FOR APPLIED DEVELOPMENT OF AYURVEDA, PRAKRITI
                  AND GENOMICS






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