Page 85 - Annual report 2021-22
P. 85

Annual Report 2021-22 |






               Neeru Saini

                                                                                                                  68


               Neeru Saini’s lab studies long non-coding RNAs in adipose biology, osteogenesis and breast cancer.

               Obesity is characterized as ‘metabolically healthy obesity', ‘metabolically benign obesity', or ‘insulin-
               sensitive obesity' (ISO), and all these are being reported in approximately 10%-40% of obese people ,
               including  those  with  extreme  obesity.  The  metabolic  and  cellular  mechanism(s)  linking  adipocyte
               biology to Insulin resistance are complex and are not fully understood. There is always a need for
               discovering additional adipocyte-secreted products, which are central to insulin sensitivity and /or
               resistance. The current project proposes to explore the contributions and mechanisms of action of
               lncRNAs in adipose tissue function in insulin-sensitive (metabolically ˜healthy') and insulin-resistant,
               (metabolically  ˜unhealthy')  phenotypes  of  obese  and  non-obese  subjects.  The  present  study  will
               deploy genome-wide transcriptomics using RNA sequencing to profile the transcriptome of the ADSCs.
               The pathways related  to  adipogenesis  that  correlate  the  changes in  these  with the  alterations in
               differentiation potential, if any, between adipose derived hMSCs from lean and obese individuals.
               Human Adipose Tissue samples are being collected from AIIMS and till now 9 samples have been
               received. The tissue samples have been processed and their characterization by flow cytometry is in
               process.
               Identification  and  functional  validation  of  noncoding  RNA(s)  related  to  osteogenesis  using  the
               osteoblast-like cell line MG-63 using a combined computational and/or  experimental approach is
               another goal of Neeru Saini’s lab. Study of the miRNA-lncRNA interactions could lead to an improved
               understanding of their crosstalk with related signalling pathways and factors related to osteogenesis.
               A preferred strategy is the isolation and characterization of MSCs from human adipose tissue biopsies
               /  lipoaspirates  and  investigation  of  the  biological  effect(s)  of  above  identified  noncoding  RNA  (s)
               towards osteogenic differentiation potential of MSCs. Preliminary analysis of array data provided clues
               of miR-365 playing a role in osteoblast-osteoclast formation and has great translational value. Wnt
               signalling pathway in bone biology has gained considerable attention and this group is in the process
               of functionally validating the role of miR-365 using bone osteosarcoma cell line(s). This miRNA was
               previously identified in our laboratory as a regulator of the Wnt signaling pathway .
               Coronary artery disease (CAD) is the leading cause of death in India, partly due to inefficient prognosis
               of CAD by the existing methods. There is a need for specific and cost-effective biomarkers for CAD
               diagnostics/prognostics. Accumulating evidence suggests that circulating microRNAs (miRNAs) are
               associated with CAD, but miRNA based biomarkers have not been extensively searched in the Indian
               population. The aim of this project is to identify circulating miRNAs as potential prognostic and/or
               diagnostic biomarkers for CAD. Blood samples from patients suffering from coronary artery disease
               are being collected from AIIMS, New Delhi. Serum from 13 patients has been collected as of now.
               Initial standardizations for blood based detection of miRNA in CAD blood samples has been completed.
               A total of 60 CAD patients and 60 age  and  gender matched controls will be selected and miRNA
               profiling analysis in plasma will be done and the results will be validated by qRT-PCR analysis. The
               association study between the identified miRNAs and severity of CAD will be statistically evaluated.
   80   81   82   83   84   85   86   87   88   89   90