Ioannis Kamzolas 博士

TVPlab · Cambridge

Ioannis Kamzolas 博士

博士后研究员

电子邮箱ik352@cam.ac.uk

个人简介

利用转录组学、机器学习与多组学整合，研究肝脏和脂肪组织功能障碍，重点关注代谢功能障碍相关脂肪性肝病（MASLD）及脂肪性肝炎（MASH）的进展。

了解研究方向 返回团队成员

背景与经历

我于 2015 年和 2017 年分别在帕特雷大学取得计算机工程与信息学工程硕士学位，以及生物信息学理学硕士学位。硕士学习期间，我加入海德堡 EMBL，参与探索 RNA 结合蛋白在四种癌症中治疗潜力的项目。

2017—2021 年，我在剑桥大学 TVP-Lab 与 EMBL-EBI 合作完成博士研究。我的博士课题聚焦于解析 MASLD 进展的分子机制，并确定最能代表人类疾病的啮齿动物模型。我主要具有计算研究背景，重点关注转录组学、机器学习及多组学整合。

目前，我在 TVP-Lab 担任博士后研究员，继续开展代谢疾病研究。我希望将高维组学数据转化为对疾病机制的认识，尤其关注肝脏和脂肪组织功能障碍。

具体研究兴趣

生物信息学 · 代谢疾病（MASLD／MASH）· 机器学习 · 多组学数据整合 · 脂肪组织与肝脏生物学 · 生物标志物发现

代表性论文与成果

  1. Carobbio S, Guenantin AC, Bahri M, Samuelson I, Honig F, Rodriguez-Fdez S, Long K, Kamzolas I, Chiarugi D, Vidal-Puig A, Unraveling the Developmental Roadmap toward Human Brown Adipose Tissue, bioRxiv, 2020, doi: 10.1101/2020.07.09.194886.
  2. Carobbio S, Guenantin AC, Bahri M, Rodriguez-Fdez S, Honig F, Kamzolas I, Chiarugi D, Vidal-Puig A, Unraveling the Developmental Roadmap toward Human Brown Adipose Tissue, Stem Cell Reports, 2021, 16(4), 641-655, doi: 10.1016/j.stemcr.2021.03.009.
  3. Azzu V, Vacca M, Kamzolas I, Hall Z, Leslie J, Carobbio S, Petsalaki E, Griffin J, Oakley F, Allison M, Vidal-Puig A, Suppression of insulin-induced gene 1 (INSIG1) function promotes hepatic lipid remodelling and restrains NASH progression, Molecular Metabolism, 2021, 48, doi: 10.1016/j.molmet.2021.101210.
  4. Mózes FE, Lee JA & LITMUS Investigators, Diagnostic accuracy of non-invasive tests for advanced fibrosis in patients with NAFLD: an individual patient data meta-analysis, Gut, 2021, 71(5):1006-1019, doi: 10.1136/gutjnl-2021-324243.
  5. Selvaraj EA, Mózes FE, & LITMUS Investigators, Diagnostic accuracy of elastography and magnetic resonance imaging in patients with NAFLD: A systematic review and meta-analysis. Journal of Hepatology, 2021, 75(4):770-785. doi: 10.1016/j.jhep.2021.04.044.
  6. Tan J, Virtue S, …, Kamzolas I, et al, Limited oxygen availability in standard cell culture alters metabolism and function in terminally-differentiated cells. bioRxiv, 2022, doi: 10.1101/2022.11.29.516437.
  7. Figueroa-Juarez E, Pellegrinelli V, Kamzolas I, et al, Extracellular Matrix Remodelling in Brown Adipose Tissue Adipogenesis and Activation: Role of Cyr61, Current Developments in Nutrition, 2023, 7 (1), doi:10.1016/j.cdnut.2023.100769.
  8. Tan J, Virtue S, …, Kamzolas I, et al, Limited oxygen availability in standard cell culture alters metabolism and function of differentiated cells. EMBO J, 2024, https://doi.org/10.1038/s44318-024-00084-7.
  9. Vacca M*, Kamzolas I*, Harder L.M. et al, An unbiased ranking of murine dietary models based on their proximity to human metabolic dysfunction-associated steatotic liver disease (MASLD), Nature Metabolism, 2024, 6 (6), 1178–1196, https://doi.org/10.1038/s42255-024-01043-6.
  10. Hvid H, Hjuler S, Bedossa P, Tiniakos D, Kamzolas I, Harder L.M, & LITMUS Investigators, Choline-deficient, high-fat diet-induced MASH in Göttingen Minipigs: characterization and effects of a chow reversal period. 2024, American Journal of Physiology-Gastrointestinal and Liver Physiology, 327 (4), https://doi.org/10.1152/ajpgi.00120.2024.
  11. Nielsen M.H, Nøhr-Meldgaard J, Møllerhøj M.B, Oró D, Pors S.E., Andersen M.W., Kamzolas I, Petsalaki E, Vacca M, Harder L.M, Perfield J.W, Veidal S, Hansen H.H, & Feigh M, Characterization of six clinical drugs and dietary intervention in the nonobese CDAA-HFD mouse model of MASH and progressive fibrosis. 2024, American Journal of Physiology-Gastrointestinal and Liver Physiology, 327 (4), G338–G355. https://doi.org/10.1152/ajpgi.00110.2024.
  12. Kamzolas I, Koutsandreas T, …, Vidal-Puig A, Petsalaki E, Decoding MASLD Progression: A Molecular Trajectory-Based Framework for Modelling Disease Dynamics. bioRxiv, 2025, 2025.01. 14.632908, doi: https://doi.org/10.1101/2025.01.14.632908.
  13. Constant B*, Kamzolas I*, Yang X, Guo J, Rodriguez-Fernandez S, Mali I, Rodriguez-Cuenca S, Petsalaki E, Vidal-Puig A, & Li W, Distinct signalling dynamics of BMP4 and BMP9 in brown versus white adipocytes. 2025, Scientific Reports, 15, 15971, https://doi.org/10.1038/s41598-025-99122-5.