Impact of infection on proteome-wide glycosylation revealed by distinct signatures for bacterial and viral pathogens

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Willems, E ORCID: 0000-0002-7993-9613, Gloerich, J ORCID: 0000-0001-5976-8426, Suppers, A, van der Flier, M, van den Heuvel, LP, van de Kar, N, Philipsen, RHLA, van Dael, M, Kaforou, M, Wright, VJ et al (show 90 more authors) , Herberg, JA, Torres, FM, Levin, M ORCID: 0000-0003-2767-6919, de Groot, R, van Gool, AJ, Lefeber, DJ, Wessels, HJCT, de Jonge, MI, Abdulla, A, Aebi, C, van Aerde, K, Agbeko, R, Agyeman, P, D'alessandro, U, Ali, L, Alkema, W, Allen, K, González, FÁ, Anderson, S, Ansari, I, Araf, T, Avramoska, T, Baas, B, Bahovec, N, Farto, CB, Balode, A, Barendregt, AM, Barral-Arca, R, Castro, MB, Bārzdiņa, A, Bath, D, Bauchinger, S, Baumard, L, Baumgart, H, Baxter, F, Bell, A, Bell, K, Bello, X, Bellos, E, Benesch, M, Ben García, M, Bennet, J, Berger, C, van den Berg, JM, Bernhard-Stirnemann, S, Bibi, S, Bidlingmaier, C, Binder, A, Binder, V, Bojang, K, Borensztajn, DM, von Both, U, Brengel-Pesce, K, van den Broek, B, Buschbeck, J, Calvo-Bado, L, Carnota, S, Carrol, ED ORCID: 0000-0001-8357-7726, Carter, MJ, Cebey-López, M, Ceesay, S, Ceolotto, A, Chan, A, Cocklin, E, Collings, K, Crulley, S, Cunnington, A, Curras-Tuala, MJ, Danhauser, K, Darboe, S, Darnell, S, De, T, Deksne, D, Devine, K, Dewez, JE, Dudley, J, Suárez, CD, Eber, E, Eleftheriou, I, Emonts, M, Fabian, D, Feuchtinger, T, Fidler, K, Fink, C, van Furth, AM, Galassini, R, Gallistl, S, Vicente, LG, Gardovska, D and Geissler, J (2023) Impact of infection on proteome-wide glycosylation revealed by distinct signatures for bacterial and viral pathogens Iscience, 26 (8). 107257-. ISSN 2589-0042, 2589-0042

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Abstract

Mechanisms of infection and pathogenesis have predominantly been studied based on differential gene or protein expression. Less is known about posttranslational modifications, which are essential for protein functional diversity. We applied an innovative glycoproteomics method to study the systemic proteome-wide glycosylation in response to infection. The protein site-specific glycosylation was characterized in plasma derived from well-defined controls and patients. We found 3862 unique features, of which we identified 463 distinct intact glycopeptides, that could be mapped to more than 30 different proteins. Statistical analyses were used to derive a glycopeptide signature that enabled significant differentiation between patients with a bacterial or viral infection. Furthermore, supported by a machine learning algorithm, we demonstrated the ability to identify the causative pathogens based on the distinctive host blood plasma glycopeptide signatures. These results illustrate that glycoproteomics holds enormous potential as an innovative approach to improve the interpretation of relevant biological changes in response to infection.

Item Type:	Article
Uncontrolled Keywords:	PERFORM consortium
Divisions:	Faculty of Health & Life Sciences Faculty of Health & Life Sciences > Inst. Infection, Vet & Ecological Sciences
Depositing User:	Symplectic Admin
Date Deposited:	05 Aug 2023 15:22
Last Modified:	24 Jan 2026 04:31
DOI:	10.1016/j.isci.2023.107257
Related Websites:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3172061
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