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Predicting trajectories of illness using RNA velocity of whole blood

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Predicting trajectories of illness using RNA velocity of whole blood
Συγγραφείς: Dunican, C, Wilson, C, Habgood-Coote, D, Paterson, S, Noursadeghi, M, Moseki, R, Stek, C, Wilkinson, RJ, Agyeman, PKA, Beudeker, CR, Biesbroek, G, von Both, U, Brengel-Pesce, K, Carrol, ED, Coin, LJM, D’Souza, G, De, T, Emonts, M, Fidler, K, Fink, CG, van der Flier, M, Georgaki, I, Kolberg, L, Kolnik, M, Kuijpers, T, Martinón-Torres, F, Mommert-Tripon, M, Nichols, S, Paulus, S, Pokorn, M, Pollard, AJ, Rivero-Calle, I, Rudzate, A, Schlapbach, LJ, Schweintzger, NA, Shen, CF, Shrestha, S, Tan, CD, Tsolia, M, Usuf, E, van der Velden, F, Vermont, CL, Voice, M, Yeung, S, Zavadska, D, Zenz, W, Wright, VJ, Levin, M, Herberg, J, Wang, SM, Liu, CC, D’Alessandro, U, Ceesay, S, Darboe, S, Saidykhan, M, Sarr, I, Roca, A, Anderson, S, Secka, F, Zaman, SMA, Bojang, K, Pachot, A, Mallet, F, Avramoska, T, Osterman, V, Prunk, P, Bahovec, N, Srovin, TP, Vincek, K, Berger, C, Riedel, T, Relly, C, Natalucci, G, Kahlert, C, Niederer-Loher, A, Bernhard-Stirnemann, S, Heininger, U, Posfay-Barbe, KM, Stocker, M, Giannoni, E, Usman, M, Wyss, V, Aebi, C, Syggelou, K, Xagorari, M, Marmarinos, A, Tambouratzi, M, Eleftheriou, I, Schoen, C, Reiter, K, Muench, G, Lurz, E, Kappler, M, Keil, J, Feuchtinger, T, Griese, M, Haas, N, Danhauser, K, Binder, V, Bidlingmaier, C
Στοιχεία εκδότη: Springer Nature
Έτος έκδοσης: 2026
Συλλογή: The University of Liverpool Repository
Περιγραφή: 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 the current spliced and unspliced mRNA of each cell. We hypothesized that RNA velocity could be adapted to predict future clinical state of individuals with acute and chronic illnesses, using their whole-blood transcriptomes. We developed VeloCD, a method for quantitative prediction of transitions in clinical state from a single time-point RNA sample. This predicts transcriptomic trajectories and future infection status in influenza A and SARS-CoV-2 controlled human infection studies, which are consistent with trajectories in naturally acquired infections. In HIV-TB coinfected individuals, VeloCD predicts the onset of immune reconstitution inflammatory syndrome. In individuals receiving biological therapy for inflammatory bowel disease, whole blood RNA velocity after the first dose of treatment indicates whether remission will be achieved by the end of the treatment course. In a multinational observational study of acutely unwell febrile children, VeloCD predicts those with greatest medical care requirements. Our results demonstrate proof-of-concept for the use of RNA velocity to predict trajectories of human diseases.
Τύπος εγγράφου: article in journal/newspaper
Περιγραφή αρχείου: application/pdf
Γλώσσα: English
ISSN: 2041-1723
Relation: https://livrepository.liverpool.ac.uk/3198392/1/Predicting%20trajectories%20of%20illnes%20RNA%20velocity%20submitted%20nature%20comms.pdf; Collapse authors list. Dunican, C orcid:0000-0001-5835-263X , Wilson, C, Habgood-Coote, D orcid:0000-0001-5501-0335 , Paterson, S, Noursadeghi, M orcid:0000-0002-4774-0853 , Moseki, R, Stek, C, Wilkinson, RJ orcid:0000-0002-2753-1800 , Agyeman, PKA orcid:0000-0002-8339-5444 , Beudeker, CR et al (show 90 more authors) , Biesbroek, G, von Both, U orcid:0000-0001-8411-1071 , Brengel-Pesce, K, Carrol, ED orcid:0000-0001-8357-7726 , Coin, LJM orcid:0000-0002-4300-455X , D’Souza, G, De, T orcid:0000-0001-7278-0534 , Emonts, M orcid:0000-0002-2822-3527 , Fidler, K, Fink, CG orcid:0000-0002-8008-5870 , van der Flier, M orcid:0000-0003-1296-0159 , Georgaki, I, Kolberg, L orcid:0000-0002-3311-8254 , Kolnik, M, Kuijpers, T, Martinón-Torres, F orcid:0000-0002-9023-581X , Mommert-Tripon, M, Nichols, S orcid:0000-0001-6737-0610 , Paulus, S, Pokorn, M, Pollard, AJ orcid:0000-0001-7361-719X , Rivero-Calle, I, Rudzate, A orcid:0000-0003-4885-0031 , Schlapbach, LJ, Schweintzger, NA orcid:0000-0003-2549-5911 , Shen, CF orcid:0000-0001-5926-0462 , Shrestha, S orcid:0000-0001-9484-0227 , Tan, CD, Tsolia, M, Usuf, E orcid:0000-0002-6515-7186 , van der Velden, F, Vermont, CL, Voice, M, Yeung, S orcid:0000-0002-0997-0850 , Zavadska, D orcid:0000-0003-4892-3763 , Zenz, W, Wright, VJ orcid:0000-0001-7826-1516 , Levin, M orcid:0000-0003-2767-6919 , Herberg, J, Wang, SM, Liu, CC, D’Alessandro, U, Ceesay, S, Darboe, S, Saidykhan, M, Sarr, I, Roca, A, Anderson, S, Secka, F, Zaman, SMA, Bojang, K, Pachot, A, Mallet, F, Avramoska, T, Osterman, V, Prunk, P, Bahovec, N, Srovin, TP, Vincek, K, Berger, C, Riedel, T, Relly, C, Natalucci, G, Kahlert, C, Niederer-Loher, A, Bernhard-Stirnemann, S, Heininger, U, Posfay-Barbe, KM, Stocker, M, Giannoni, E, Usman, M, Wyss, V, Aebi, C, Syggelou, K, Xagorari, M, Marmarinos, A, Tambouratzi, M, Eleftheriou, I, Schoen, C, Reiter, K, Muench, G, Lurz, E, Kappler, M, Keil, J, Feuchtinger, T, Griese, M, Haas, N, Danhauser, K, Binder, V and Bidlingmaier, C (2026) Predicting trajectories of illness using RNA velocity of whole blood Nature Communications, 17 (1). 3652-. ISSN 2041-1723, 2041-1723
DOI: 10.1038/s41467-026-71685-5
Διαθεσιμότητα: https://livrepository.liverpool.ac.uk/3198392/
https://doi.org/10.1038/s41467-026-71685-5
https://livrepository.liverpool.ac.uk/3198392/1/Predicting%20trajectories%20of%20illnes%20RNA%20velocity%20submitted%20nature%20comms.pdf
Αριθμός Καταχώρησης: edsbas.63CA4D7C
Βάση Δεδομένων: BASE
Περιγραφή
ISSN:20411723
DOI:10.1038/s41467-026-71685-5