Biology subjects

Mehra, D.

Publications and source records attributed to Mehra, D..

7 recordsLinked to original sources

bioRxiv2025

Circulating Biomarkers for Therapeutic Response to Immune Checkpoint Inhibitor Therapy in Patients with Advanced Lung Cancer

Immune checkpoint inhibitors (ICIs) have demonstrated remarkable efficacy in the treatment of advanced lung cancer (ALC), but not all patients benefit. To identify responders, patient selection, categorization, and the identification of specific predictive biomarkers are crucial. Our research aims to identify circulating metabolites that could be used to stratify patients into potential responders prior to the initiation of ICIs and to monitor clinical response in real-time during treatment. In the discovery phase, plasma samples (n = 25) from ALC patients receiving ICIs were analyzed using unbiased metabolomics and validated in a distinct patient cohort (n = 39). Five potential biomarkers were identified (FC > 1.5, p 0.05, AUC 0.81-1), including Thiourea and a combined metabolite panel (CMP) consisting of sphingosine-1-phosphate, gentisic acid, glutathione, and 4-hydroxybutanone. Early on-treatment high plasma levels of Thiourea were significantly associated with 5-year progression-free survival [Hazard ratio (HR) = 0.038, 95% confidence interval (CI) = 0.013-0.107, p<0.001] and overall survival [HR = 0.048, 95% CI = 0.019-0.120, p<0.001]. Low levels of CMP early on treatment were significantly associated with progression-free survival [HR = 8.119, 95% CI: 3.767-17.501, p<0.001] and overall survival [HR = 7.367, 95% CI: 3.517-15.433, 3.517-15.433, p<0.001]. This predictive plasma metabolite panel could serve as promising circulating biomarkers for predicting the therapeutic response of ICIs in ALC patients.

cancer biology↗

bioRxiv2025

Cytokine profiling identifies circulating IL-2, IL23 and sPD-L1 as prognostic biomarkers for treatment outcomes in Non-Small cell Lung Cancer patients undergoing anti-PD1 therapy

BackgroundThis study investigates the predictive potential of circulating cytokines for response and survival outcomes in patients with advanced non-small cell lung cancer (NSCLC) undergoing immune checkpoint inhibitor (ICI) therapy. Materials and MethodsA cohort of 64 patients with advanced NSCLC receiving ICI therapy were included. Baseline serum samples were collected prior to ICI initiation and profiled using a multiplex cytokine panel. Logistic regression, Cox regression, and Kaplan-Meier survival analysis were employed to assess associations between cytokine levels, therapeutic response, progression-free survival (PFS), and overall survival (OS). Gene expression levels of key cytokines were validated in peripheral blood mononuclear cells (PBMCs) using quantitative real-time PCR. ResultsElevated baseline levels of IL-2, IL-23, and sPD-L1 were significantly associated with clinical response to ICI therapy. Among these, sPD-L1 emerged as an independent predictor of response (AUC = 0.87). Multivariate Cox regression showed IL-2 (HR = 0.67), sPD-L1 (HR = 0.15), and IL-23 (HR = 1.18) were significantly associated with PFS and also predictive of OS. Notably, combined profiling of IL-2 and sPD-L1 enhanced predictive power (AUC = 0.95 for both PFS and OS). RT-PCR analysis of PBMCs corroborated these findings, confirming upregulation of IL-2 in responders and elevated IL-23 expression in non-responders. ConclusionBaseline cytokine profiling particularly of IL-2, sPD-L1, and IL-23 provides important prognostic and predictive information in advanced NSCLC patients undergoing ICI therapy. These biomarkers may facilitate more personalized approaches to immunotherapy and guide clinical decision-making.

cancer biology↗

bioRxiv2024

Mechanically Sheared Axially Swept Light-Sheet Microscopy

We present a mechanically sheared image acquisition format for upright and open-top light-sheet microscopes that automatically places data in its proper spatial context. This approach, which reduces computational post-processing and eliminates unnecessary interpolation or duplication of the data, is demonstrated on an upright variant of Axially Swept Light-Sheet Microscopy (ASLM) that achieves a field of view, measuring 774 x 435 microns, that is 3.2-fold larger than previous models and a raw and isotropic resolution of [~]420 nm. Combined, we demonstrate the power of this approach by imaging sub-diffraction beads, cleared biological tissues, and expanded specimens.

biophysics↗

bioRxiv2024

navigate: an open-source platform for smart light-sheet microscopy.

navigate is a turnkey, open-source software solution designed to enhance light-sheet fluorescence microscopy (LSFM) by integrating smart microscopy techniques into a user-friendly framework. It enables automated, intelligent imaging with a Python-based control system that supports GUI-reconfigurable acquisition routines and the integration of diverse hardware sets. As a comprehensive package, navigate democratizes access to advanced LSFM capabilities, facilitating the development and implementation of smart microscopy workflows without requiring deep programming knowledge or specialized expertise in light-sheet microscopy.

biophysics↗

bioRxiv2021

Characterizing Locus Specific Chromatin Structure and Dynamics with Correlative Conventional and Super Resolution imaging in living cells

The dynamic rearrangement of chromatin is critical for gene regulation, but mapping both the spatial organization of chromatin and its dynamics remains a challenge. Many structural conformations are too small to be resolved via conventional fluorescence microscopy and the long acquisition time of super-resolution PALM imaging precludes the structural characterization of chromatin below the optical diffraction limit in living cells due to chromatin motion. Here we develop a correlative conventional fluorescence and PALM imaging approach to quantitatively map time-averaged chromatin structure and dynamics below the optical diffraction limit in living cells. By assigning localizations to a locus as it moves, we reliably discriminate between bound and searching dCas9 molecules, whose mobility overlap. Our approach accounts for changes in DNA mobility and relates local chromatin motion to larger scale domain movement. In our experimental system, we show that compacted telomeres have a higher density of bound dCas9 molecules, but the relative motion of those molecules is more restricted than in less compacted telomeres. Correlative conventional and PALM imaging therefore improves the ability to analyze the mobility and time-averaged nanoscopic structural features of locus specific chromatin with single molecule precision and yields unprecedented insights across length and time scales.

biophysics↗

bioRxiv2020

Quantitative super-resolution microscopy reveals distinct ULK1 oligomeric states and nanoscopic morphologies during autophagy initiation

Autophagy induction involves extensive molecular and membrane reorganization. Despite significant progress, the mechanism underlying autophagy initiation remains poorly understood. Here, we used quantitative Photoactivated Localization Microscopy with single-molecule sensitivity to analyze the nanoscopic distribution of endogenous ULK1, the kinase that triggers autophagy. Under amino acid starvation, ULK1 formed large clusters containing up to 161 molecules at the endoplasmic reticulum. Cross-correlation analysis revealed that ULK1 clusters engaging in autophagosome formation require 30 or more molecules. The ULK1 structures with more than the threshold number contained varying levels of Atg13, Atg14, Atg16, LC3B, GEC1 and WIPI2. We found that ULK1 activity is dispensable for the initial clustering of ULK1, but necessary for the subsequent expansion of the clusters, which involves interaction with Atg14, Atg16, and LC3B and relies on Vps34 activity. This quantitative analysis at the single molecule level has provided unprecedented insights into the behavior of ULK1 during autophagy initiation.

biophysics↗

bioRxiv2020

Cellular internalization of Godanti Bhasma (anhydrous CaSO4) induces massive cytoplasmic reversible vacuolation and survival response of mammalian cells.

Bhasmas are Ayurvedic herbo-mineral formulations that have been used since ancient times for therapeutic benefits. Godanti Bhasma (GB) is an anhydrous calcium sulfate preparation processed by heating of gypsum powder with herbal extracts. Thermo-transformation of gypsum into the anhydrous GB was confirmed by Raman and FT-IR spectroscopy. GB particle showed size range of 0.5-5 {micro}m and neutral surface charge. Exposure to mammalian cells with GB particles showed massive vacuolation in their cytoplasm. Interestingly, no vacuolation was observed with parent gypsum particle. The result indicated that the cytoplasmic vacuolation by GB was due to its unique physicochemical property obtained during the thermo-transformation of gypsum. Using lysosomal inhibitors Bafilomycin A1 (BFA1) and Chloroquine (CQ), the process of vacuole formation was suppressed indicating GB induced vacuolation require acidic environment. The GB induced vacuolation was also found to follow dose and time dependent manner. Vacuolation often accompany with the sign of cell death whereas, in our study, massive vacuolation by GB did not induce any cell death. Moreover, GB treated cells survive with massive vacuolar process, which was reversed following post-treatment with vacuole inhibitors in GB treated cells, suggesting normal vacuolar function is essential for cell survival. Treatment of cells with GB was also found to induce translocation of LC3 protein from the nucleus to vacuolar membrane, indicating LC3 associated phagocytosis (LAP) is involved in the vacuolar process. Interestingly, the LAP function was found to be reversed in the cells treated with vacuole inhibitors. Our results provide a mechanistic correlation with GB induced vacuolation and associated LAP function, essential for cell survival. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=164 SRC="FIGDIR/small/930594v3_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@169ed89org.highwire.dtl.DTLVardef@169c339org.highwire.dtl.DTLVardef@900004org.highwire.dtl.DTLVardef@1f13823_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗