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Practical Magic  /  Biology

A single blood test can now predict the future of a patient's illness by watching a movie of how their RNA is changing.

Traditional blood tests give a static snapshot of a patient's health at a single moment in time. This new method, called VeloCD, looks at the ratio of spliced to unspliced mRNA to determine RNA velocity. This allows doctors to see not just where a patient's health is now, but where it is headed in the next several hours. It can accurately predict if an acutely ill person will get better or require intensive care before they actually show signs of crashing. This predictive power could allow hospitals to intervene much earlier and save lives that might otherwise be lost to sudden complications.

Original Paper

Predicting trajectories of acute illness using RNA velocity of whole blood

Claire Dunican, Clare Wilson, Dominic Habgood-Coote, Suzanna Patterson, Mahdad Noursadeghi, Raymond Moseki, Cari Stek, Robert Wilkinson, Philipp Agyeman, Coco Beudeker, Giske Biesbroek, Ulrich von Both, Karen Brengel-Pesce, Enitan Carrol, Lachlan Coin, Giselle D'Souza, Tisham De, Marieke Emonts, Katy Fidler, Colin Fink, Michiel Van der Flier, Ioanna Georgaki, Laura Kolberg, Mojca Kolnik, Taco Kuijpers, Federico Martinon-Torres, Marine Mommert-Tripon, Samuel Nichols, Stéphane Paulus, Marko Pokorn, Andrew Pollard, Irene Rivero-Calle, Aleksandra Rudzate, Luregn Schlapbach, Nina Schweintzger, Ching-Fen Shen, Shrijana Shrestha, Chantal Tan, Maria Tsolia, Effua Usuf, Fabian van der Velden, Clementien Vermont, Marie Voice, Shunmay Yeung, Dace Zavadska, Werner Zenz, Victoria Wright, Michael Levin#, Jethro Herberg, Rachel Lai, Graeme Meintjes, Christopher Chiu, Mauricio Barahona, Myrsini Kaforou, Aubrey Cunnington

research_square  ·  rs-5764288

Abstract Transcriptomic analyses reveal the status of cells, tissues, or organisms, across states of health and disease. RNA velocity adds a temporal dimension to single cell analyses, predicting future transcriptomic and phenotypic states, based on current spliced and unspliced mRNA of each cell. We hypothesized that RNA velocity could be adapted to predict future clinical status of individuals with acute illness using their whole-blood transcriptome. We developed a method for quantitative pred