Author

Na Cui

3 papers indexed here

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Open access Aug 2026

Unveiling the immuno-inflammatory endotype of sepsis-associated acute kidney injury: a machine learning-based approach.

Background Sepsis-associated acute kidney injury (SA-AKI) is a frequent and high-mortality complication in critically ill patients. Current diagnostic criteria rely on functional markers that often lag behind the onset of renal injury. While immune dysregulation is central to SA-AKI pathogenesis, few prediction models...

Jin Zhang, Peng-Chao Tian, Jingyi Wang et al. · Kidney Research and Clinical... · 0 citations

Open access Aug 2026

Restricted TCR Diversity and Expansion of CD177+CD8+ and TLR4+CD4+T Cell Subsets in Septic Shock‐Associated Immunosuppression: A Single‐Cell Multi‐Omics Study

Sepsis‐induced immunosuppression contributes to poor outcomes in sepsis patients, yet the mechanisms underlying T cell dysfunction remain incompletely understood. We integrated single‐cell RNA sequencing (scRNA‐seq), paired single‐cell T cell receptor sequencing (scTCR‐seq), bulk RNA sequencing (RNA‐seq), and flow cyto...

Ya-Wen Xie, Xun-Yao Wu, Guoyu Zhao et al. · MedComm · 0 citations

Open access Aug 2026

Prediction of severe sepsis-associated acute kidney injury incorporating immune-inflammatory profiles: development and validation of a machine learning model in a multicenter prospective cohort study

An interpretable random forest model incorporating immune-inflammatory profiles accurately predicted progression to severe SA-AKI in critically ill patients with sepsis and may offer an effective and practical strategy for early risk stratification.

Xiaoxia Guo, Fei Li, Chang Xu et al. · Frontiers in Immunology · 0 citations