Identification of diabetes related phenotype and diagnostic biomarkers in coronary artery disease
This study delves into the microenvironmental characteristics of diabetes-related phenotypes in CAD, constructing an optimal diagnostic model and validated the significance of diagnostic markers in mouse CAD model, which may offer insights that could be beneficial for clinical management in the near future.
Authors
- Ning Song (ORCID: https://orcid.org/0009-0004-2884-4341)
- Yi‐Ning Yang (ORCID: https://orcid.org/0000-0002-8332-8508)
- Niyaziaili Adili
- Xiao‐Mei Li (ORCID: https://orcid.org/0000-0002-1769-127X)
- Fen Liu (ORCID: https://orcid.org/0000-0001-7276-9044)
- Junyi Luo (ORCID: https://orcid.org/0009-0005-9444-9857)
- Qian Zhao (ORCID: https://orcid.org/0009-0001-6879-8392)
- Gulandanmu Aihemaiti (ORCID: https://orcid.org/0000-0001-5340-3733)
- Abulikemu Abula
Institutions
- Xinjiang Medical University (CN)
- First Affiliated Hospital of Xinjiang Medical University (CN)
- People's Hospital of Xinjiang Uygur Autonomous Region (CN)
Publication Details
- Journal
- PeerJ
- Published
- 2025-10-14
- DOI
- https://doi.org/10.7717/peerj.20117
- Primary Topic
- Cardiovascular Function and Risk Factors
- Type
- article
- Field-Weighted Citation Impact
- 0.00