Biology subjects

Telkar, N.

Publications and source records attributed to Telkar, N..

2 recordsLinked to original sources

bioRxiv2026

Telmisartan alters the transcriptomes of cancer associated fibroblasts and fibrocytes in a solid tumour model

Cancer associated fibroblasts (CAFs) are the main contributors to fibrosis in solid tumours. Fibrosis can lead to increased tumoural stiffness, immune cell exclusion, and poor response to cancer therapies. However, therapeutically depleting CAFs has been shown to increase tumour progression and metastasis in some pre-clinical tumour models. Targeted approaches to inhibit CAF activity and decrease fibrosis without abrogating CAFs altogether may improve the effect of existing cancer therapies. We have previously shown that the blood pressure medication telmisartan decreases tumoural collagen, resulting in improved vascular perfusion, decreased hypoxia, and improved radiation treatment efficacy. To understand how telmisartan influences CAF populations in solid tumours, we conducted single cell RNA sequencing analyses of host cells isolated from tumours in mice treated with telmisartan. Telmisartan modified the transcriptomes of CAF populations, promoting the expression of chemokine signaling while decreasing the expression of extracellular matrix components in myCAFs. Telmisartan decreased expression of collagen transcripts in myCAFs and fibrocytes, indicating that telmisartan does not remove myCAFs but changes the myCAF transcriptome to become less fibrillar. Our work provides further support for using telmisartan to manipulate CAF populations in the solid tumour microenvironment to decrease collagen deposition and render tumours more responsive to current cancer therapies.

cancer biology↗

bioRxiv2019

The transferability of lipid-associated loci across African, Asian and European cohorts

The under-representation of non-European samples in genome-wide association studies could ultimately restrict who benefits from medical advances through genomic science. Our aim was therefore to address the fundamental question whether causal variants for blood lipids are shared across populations.\n\nA polygenic score based on established LDL-cholesterol-associated loci from European discovery samples had consistent effects on serum levels in samples from the UK, Uganda and Greek population isolates (correlation coefficient r=0.23 to 0.28 per LDL standard deviation, p<1.9x10-14). Trans-ethnic genetic correlations between European ancestry, Chinese and Japanese cohorts did not differ significantly from 1 for HDL, LDL and triglycerides. In each study, >60% of major lipid loci displayed evidence of replication with one exception. There was evidence for an effect on serum levels in the Ugandan samples for only 10% of major triglyceride loci. The PRS was only weakly associated in this group (r=0.06, SE=0.013). We establish trans-ethnic colocalization as a method to distinguish shared from population-specific trait loci.\n\nOur results provide evidence for high levels of consistency of genetic associations for cholesterol biomarkers across populations. However, we also demonstrate that the degree of shared causal genetic architecture can be population-, trait- and locus-specific. Efforts to implement genetic risk prediction in clinical settings should account for this.

genetics↗