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Sabharwal, N.

Publications and source records attributed to Sabharwal, N..

2 recordsLinked to original sources

Early plasma proteomic alterations precede amyloidosis diagnosis, reflecting cardiac and immune dysregulation

Systemic amyloidosis is typically diagnosed only after irreversible organ damage has occurred, limiting the effectiveness of available therapies. Whether the disease is preceded by detectable molecular changes long before clinical presentation has remained unclear. Here, we leveraged population-scale plasma proteomics and longitudinal follow-up from the UK Biobank to investigate early circulating protein signatures associated with future diagnosis of amyloidosis. Among approximately 53,000 participants with proteomic profiling, we identified 61 individuals who developed amyloidosis up to 14 years after protein assessment. Differential expression and correlation analyses identified a seven-protein panel, including MYL3, MYBPC1, NT-proBNP, NPPB, FCRLB, IGFBP1, and FABP1, consistent with early cardiac stress and immune dysregulation. Time-to-event modelling demonstrated robust stratification of amyloidosis risk and timing. Importantly, a parsimonious subset of these proteins retained strong predictive performance, indicating that a reduced set of biologically informative markers is sufficient for risk stratification. Furthermore, these proteomic signals were not explained by pre-existing cardiac disease, clonal haematopoiesis, or related plasma cell disorders, indicating that they capture disease-specific biological processes preceding clinical diagnosis. Together, these findings show that amyloidosis is preceded by persistent plasma proteomic alterations, providing a framework for early risk stratification and insight into the preclinical biology of this under-recognised disease.

bioinformatics↗

Membrane Proteins at Scale: Automated Copolymer Nanodisc Purification for Structure and Function

Membrane proteins remain among the most important yet least accessible classes of drug targets. Conventional detergents can remove native lipids, destabilizing proteins and limiting downstream biochemistry and structural biology. Amphiphilic copolymers offer a powerful alternative, directly extracting membrane proteins in their native lipid environment, but solubilization outcomes remain unpredictable, turning each new target into a slow empirical search. Here, we introduce an automated, plate-based copolymer screening platform that compresses this process from days to hours using millilitre-scale volumes. Lyophilized copolymer libraries combined with magnetic-bead affinity purification enable parallel testing of dozens of copolymers against multiple targets; across 14 diverse human membrane proteins, next-generation copolymers (AASTY, CyclAPol and Cubipol) systematically outperform classical scaffolds. In this work, we show that this automated copolymer screening robustly identifies the right target-copolymer combination, yielding native-like, active, ligand-binding competent protein suitable for structure determination, and establishes a scalable route to systematic exploration of the membrane proteome.

biochemistry↗