日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Supplemental exposure to polystyrene nanoplastics synergistically amplifies calcium oxalate crystal-induced injury to renal tubular epithelium, accelerating the formation of calcium oxalate kidney stones.

额外接触聚苯乙烯纳米塑料可协同放大草酸钙晶体对肾小管上皮的损伤,加速草酸钙肾结石的形成。

Su Xiaozhe, Yang Yijun, Xiang Heng, Dong Caitao, Shi MingCheng, Wang Yufei, Zhou Qixuan, Song Qianlin, He Ziqi, Jiang Qinhong, Chen Bobo, Wang Yunhan, Xiong Yunhe, Yang Sixing

Individualized drug therapy and survival prediction in ICU patients with acute kidney injury: construction and validation of a nomogram

重症监护室急性肾损伤患者的个体化药物治疗和生存预测:列线图的构建和验证

Yang, Rui; Su, Xiaozhe; Liu, Ziqi; Shao, Shuai; Wang, Yinhuai; Su, Hao; He, Haiqing

Carcinoembryonic antigen as a predictor of treatment outcomes in cancer patients receiving immune checkpoint inhibitors

癌胚抗原作为接受免疫检查点抑制剂治疗的癌症患者治疗结果的预测指标

Ma, Wangbin; Shi, Qiao; Su, Xiaozhe; Zhang, Lilong; Chen, Chen; Zhang, Chao; Wang, Ying

Understanding formation processes of calcareous nephrolithiasis in renal interstitium and tubule lumen

了解肾间质和肾小管腔内钙化性肾结石的形成过程

Dong, Caitao; Zhou, Jiawei; Su, Xiaozhe; He, Ziqi; Song, Qianlin; Song, Chao; Ke, Hu; Wang, Chuan; Liao, Wenbiao; Yang, Sixing

Oxalate regulates crystal-cell adhesion and macrophage metabolism via JPT2/PI3K/AKT signaling to promote the progression of kidney stones

草酸盐通过JPT2/PI3K/AKT信号通路调节晶体细胞黏附和巨噬细胞代谢,从而促进肾结石的进展。

Song, Qianlin; Song, Chao; Chen, Xin; Xiong, Yunhe; He, Ziqi; Su, Xiaozhe; Zhou, Jiawei; Ke, Hu; Dong, Caitao; Liao, Wenbiao; Yang, Sixing

Building a nomogram plot based on the nanopore targeted sequencing for predicting urinary tract pathogens and differentiating from colonizing bacteria

基于纳米孔靶向测序构建列线图,用于预测泌尿道病原体并将其与定植细菌区分开来。

Jiang, Shengming; Wei, Yangyan; Ke, Hu; Song, Chao; Liao, Wenbiao; Meng, Lingchao; Sun, Chang; Zhou, Jiawei; Wang, Chuan; Su, Xiaozhe; Dong, Caitao; Xiong, Yunhe; Yang, Sixing

Competitive Risk Model for Specific Mortality Prediction in Patients with Bladder Cancer: A Population-Based Cohort Study with Machine Learning

基于机器学习的膀胱癌患者特定死亡率预测竞争风险模型:一项基于人群队列的研究

Su, Hao; Xue, Xiaoqiang; Wang, Yutao; Lu, Yi; Ma, Chengquan; Ji, Zhigang; Su, Xiaozhe