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Rapid Communication | Open Access

Investigation of prodromal features in metabolic syndrome based on transcriptome analysis

Sang-Min Parka,b, Musun Parka, Hyo-Jeong Bana, Su-Jin Baeka, Soo Yeon Kima, Siwoo Leea, Hee-Jeong Jina( )
Korean Medicine (KM) Data Division, Korea Institute of Oriental Medicine, Daejeon 34054, Republic of Korea
College of Pharmacy, Chungnam National University, Daejeon 34134, Republic of Korea

Peer review under responsibility of Chongqing Medical University.

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Genes & Diseases
Volume 10 Issue 3,
May 2023
Pages 708-711
DOI: 10.1016/j.gendis.2022.07.021

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Cite this article:
Park S-M, Park M, Ban H-J, et al. Investigation of prodromal features in metabolic syndrome based on transcriptome analysis. Genes & Diseases, 2023, 10(3): 708-711. https://doi.org/10.1016/j.gendis.2022.07.021

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Received: 03 May 2022
Published: 19 August 2022
© 2022 The Authors.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).