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DOI 10.1111/dom.70962

Медицинская библиотека · Diabetes, obesity & metabolism · 2026

Molecular Signature of Prediabetes With High-Risk of Diabetes Revealed by Deep Plasma Proteome.

Yin Yuanyuan, Gao Xiaojing, Li Qingrun, Lu Ling, Zhang Haoqiang, Wu Qingqing, Shi Jincheng, Liu Conghui, Yue Ling, Xiao Shifu, Wu Jiarui, Lin Xu, Zeng Rong

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Аннотация

AIMS: Prediabetes is biologically heterogeneous, but molecular subtypes linked to diabetes progression remain poorly defined. We aimed to identify plasma proteome-based subtypes of impaired fasting glucose (IFG), characterise their molecular features and assess their association with future diabetes risk.

MATERIALS AND

METHODS

We quantified 2584 plasma proteins using liquid chromatography-mass spectrometry in 538 IFG participants from a prospective discovery cohort (Nutrition and Health of Aging Population in China, NHAPC). Proteomic subtypes were defined by consensus clustering, linked to longitudinal changes in insulin sensitivity and incident type 2 diabetes mellitus (T2DM), which were further validated in an independent Shanghai Brain Aging Study (SBAS) cohort.

RESULTS

Two reproducible IFG molecular subtypes based on plasma proteomics were identified. The high-risk subtype showed higher incident diabetes and a greater 6-year decline in insulin sensitivity and was characterised by enrichment of glycolysis/gluconeogenesis, insulin signalling and neutrophil degranulation, together with a dyslipidemic lipidomic profile indicating co-dysregulation of glucose and lipid homeostasis. The low-risk subtype demonstrated a higher complement cascade and high-density lipoprotein particle remodelling signature. In the high-risk subtype, key proteins and lipids showed stronger associations with longitudinal declines in insulin sensitivity, including PPBP, PGK1 and ALDOA, as well as PE-P 18:0/20:3 and PE-P 18:1/20:3.

CONCLUSIONS

Proteome-based molecular subtyping stratifies IFG individuals with similar fasting glucose levels but distinct biology and future diabetes risk, supporting earlier and more targeted prevention.

Для цитирования: Yin Yuanyuan, Gao Xiaojing, Li Qingrun, Lu Ling, Zhang Haoqiang, Wu Qingqing, Shi Jincheng, Liu Conghui, Yue Ling, Xiao Shifu, Wu Jiarui, Lin Xu, Zeng Rong. Molecular Signature of Prediabetes With High-Risk of Diabetes Revealed by Deep Plasma Proteome.. Diabetes, obesity & metabolism. 2026. DOI: 10.1111/dom.70962.

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