Photo of Wen Zhong

Wen Zhong

Assistant Professor, Docent

My research mainly focuses on the integration of multi-omics, the interplay between genetics and phenotypes, and the development of data-driven strategies/tools for precision medicine.

Research Interests:

My research mainly focuses on the integration of multi-omics, the interplay between genetics and phenotypes, and the development of data-driven strategies/tools for precision medicine. The aim is to investigate the molecular biomarkers for the estimation of disease risks, early diagnosis of disease, stratification of drug treatment response, disease progression monitoring and the stratification of patients.

Publications

2026

Xiangyu Qiao, Vanessa William Toma, Jing Wang, Ángel Herraiz-Adillo, Simon Söderholm, Daniel Berglind, Susanna Calling, Bledar Daka, Mats Martinell, Frida Bergman, Pontus Henriksson, Bijar Ghafouri, Martin Ulander, Carl Johan Östgren, Claudio Cantù, Wen Zhong, Fredrik Iredahl (2026) Genetic predisposition to coffee consumption and the association with the early risk of atherosclerosis Scientific Reports, Vol. 16, Article 9652 (Article in journal) Continue to DOI
Simon Söderholm, Martin Ulander, Vanessa William Toma, Sara Kaufmann, Xiangyu Qiao, Daniel Berglind, Susanna Calling, Bledar Daka, Ludger Grote, Mats Martinell, Frida Bergman, Pontus Henriksson, Carl Johan Östgren, Wen Zhong, Claudio Cantù, Fredrik Iredahl (2026) Habitual coffee consumption poorly correlates with sleep quality and daytime sleepiness: A cross-sectional study PLOS ONE, Vol. 21, Article e0344479 (Article in journal) Continue to DOI
Pia Lundgren, Hanna Danielsson, Mohit B. Panwar, Maria Bueno Alvez, Aldina Pivodic, Wen Zhong, Nele Brusselaers, Dirk Wackernagel, Ulrika Sjobom, Karin Savman, Ingrid Hansen Pupp, David Ley, Susanna Klevebro, Anders K. Nilsson, Zhongjie Fu, Lois E. H. Smith, Mathias Uhlen, Ann Hellstrom (2026) Proteomic Profile in Retinopathy of Prematurity: A Secondary Analysis of the Mega Donna Mega Randomized Clinical Trial JAMA ophthalmology, Vol. 144, p. 174-184 (Article in journal) Continue to DOI

2025

T. Hökfelt, S. Barde, Wen Zhong, J. He (2025) Cholecystokinin in the central and peripheral nervous system Cholecystokinin: from Gallbladder to Cognition and Beyond, p. 101-160 (Chapter in book) Continue to DOI
Xingyue Wang, Xiangyu Qiao, Alberto Zenere, Swapnali Barde, Jing Wang, Wen Zhong (2025) HUBMet: an integrative database and analytical platform for human blood metabolites and metabolite-protein associations Genome Biology, Vol. 27, Article 7 (Article in journal) Continue to DOI

Selected publications

See full list in Google Scholar: https://scholar.google.com/citations?user=c7w5Bh4AAAAJ&hl=en

  1. Zhong W, Barde S, Mitsios N, Adori C, Oksvold P, Feilitzen K.V, O’Leary L, Csiba L, Hortobágyi T, Szocsics P and Mechawar N, Maglóczky Z, Renner E, Palkovits M, Uhlen M, Mulder J, Hökfelt T. (2022). The neuropeptide landscape of human prefrontal cortex. Proceedings of the National Academy of Sciences, 119(33), p.e2123146119.
    https://www.pnas.org/doi/abs/10.1073/pnas.2123146119
  2. Zhong W, Altay O, Arif M, Edfors F, Mardinoglu A, Uhlén M, Fagerberg L. (2021). Next generation plasma proteome profiling of COVID-19 patients with mild to moderate symptoms. EBioMedicine 74, 103723
    https://www.sciencedirect.com/science/article/pii/S235239642100517X
  3. Zhong W, Edfors F, Gummesson A, Bergstrom G, Fagerberg L, Uhlén M. (2021). Next generation plasma proteome profiling to monitor health and disease. Nature communications 12 (1), 1-12
    https://www.nature.com/articles/s41467-021-22767-z
  4. Karlsson MJ, Zhang C, Méar L, Zhong W, Digre A, Katona B, Sjöstedt E, Butler L, Odeberg J, Dusart P, Edfors F, Oksvold P, von Feilitzon K, Zwahlen M, Muhammad A, Altay O, Li X, Ozcan M, Mardonoglu A, Fagerberg L, Mulder J, Luo Y, Ponten F, Uhlen M, Lindskog C. (2021). A single–cell type transcriptomics map of human tissues. Science Advances, 7(31), p.eabh2169.
    https://www.science.org/doi/10.1126/sciadv.abh2169
  5. Zhong W, Danielsson H, Tebani A, Karlsson MJ, Elfvin A., Hellgren, G., Brusselaers, N., Brodin, P., Hellström, A., Fagerberg, L., Uhlén, M., (2021). Dramatic changes in blood protein levels during the first week of life in extremely preterm infants. Pediatric research, 89(3), pp.604-612.
    https://www.nature.com/articles/s41390-020-0912-8
  6. Zhong W, Gummesson A, Tebani A, Karlsson M J, Hong MG, Schwenk JM, Edfors F, Bergström G, Fagerberg L, Uhlén M. (2020). Whole-genome sequence association analysis of blood proteins in a longitudinal wellness cohort. Genome Medicine, 12(1), 1-16.
    https://genomemedicine.biomedcentral.com/articles/10.1186/s13073-020-00755-0
  7. Tebani A, Gummesson A, Zhong W, Koistinen IS, Lakshmikanth T, Olsson LM, Boulund F, Neiman M, Stenlund H, Hellström C, Karlsson MJ, Arif M, Dodig-Crnković T, Mardinoglu A, Lee S, Zhang C, Chen Y, Olin A, Mikes J, Danielsson H, von Feilitzen K, Jansson PA, Angerås O, Huss M, Kjellqvist S, Odeberg J, Edfors F, Tremaroli V, Forsström B, Schwenk JM, Nilsson P, Moritz T, Bäckhed F, Engstrand L, Brodin P, Bergström G, Uhlén M, Fagerberg L. (2020). Integration of molecular profiles in a longitudinal wellness profiling cohort. Nature communications, 11(1), 1-14.
    https://www.nature.com/articles/s41467-020-18148-7
  8. Sjöstedt E, Zhong W, Fagerberg L, Karlsson M, Mitsios N, Adori C, Oksvold P, Edfors F, Limiszewska A, Hikmet F, Huang J, Du Y, Lin L, Dong Z, Yang L, Liu X, Jiang H, Xu X, Wang J, Yang H, Bolund L, Mardinoglu A, Zhang C, von Feilitzen K, Lindskog C, Pontén F, Luo Y, Hökfelt T, Uhlén M, Mulder J. (2020). An atlas of the protein-coding genes in the human, pig, and mouse brain. Science, 367 (6482)
    https://www.science.org/doi/10.1126/science.aay5947
  9. Uhlén M, Karlsson MJ, Zhong W, Tebani A, Pou C, Mikes J, Lakshmikanth T, Forsström B, Edfors F, Odeberg J, Mardinoglu A, Zhang C, von Feilitzen K, Mulder J, Sjöstedt E, Hober A, Oksvold P, Zwahlen M, Ponten F, Lindskog C, Sivertsson Å, Fagerberg L, Brodin P. (2019). A genome-wide transcriptomic analysis of protein-coding genes in human blood cells. Science, 366 (6472)
    https://www.science.org/doi/10.1126/science.aax9198
  10. Hou J#, Li Z#, Zhong W#, Hao Q, Lei L, Wang L, Zhao D, Xu P, Zhou Y, Wang Y, Xu T. (2017). Temporal transcriptomic and proteomic landscapes of deteriorating pancreatic islets in type 2 diabetic rats. Diabetes, 66(8), 2188-2200 (# equal contribution)
    https://diabetes.diabetesjournals.org/content/66/8/2188

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