Linguo Xie

Ambient nitrogen dioxide and composition-specific risk of urolithiasis: a multicenter time-stratified case-crossover study

Zhenglin Chang, Bangxian Yu, Jierong Chen, Wenhan Cao et autres

Background: Emerging evidence suggests that ambient air pollution and meteorological variation may trigger urolithiasis, but stone-composition–specific and lagged associations are poorly characterized.Methods: We conducted a multicenter, time-stratified case-crossover study in Guangzhou (training set) with 25,374 laboratory-confirmed urinary stones and two independent validation …

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Multimodal Raman–Gene Framework for Interpretable Phenotypic Antibiotic Resistance and Health Risk Stratification

Zhonghua Shen, Yuwei Hou, Linguo Xie, Yuchi Jia et autres

The increasing burden of antibiotic-resistant bacteria presents a major challenge for clinical management, as conventional antimicrobial susceptibility testing (AST) depends on culture-based workflows that are slow, labor-intensive, and poorly suited for rapid clinical decision-making. Moreover, standard AST primarily reports susceptibility phenotypes, while …

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F‐ URS with FANS versus mPCNL for 2–3 cm UUTS : a RCT with a subgroup analysis of 2–2.5 cm stones

Rui Wang, 启星 王, Chunpeng Li, Junkai Huang et autres

OBJECTIVE: To evaluate the safety and efficacy of flexible ureteroscopy (f-URS) with a flexible and navigable suction ureteral access sheath (FANS) compared with mini-percutaneous nephrolithotomy (mPCNL) in the treatment of 2-3 cm upper urinary tract stones (UUTS), with a prespecified subgroup analysis …

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Clinical Human-Derived Pathogen Signatures Captured by SERS and Deep Learning for Environmental Exposure Risk Assessment

Zhonghua Shen, Linguo Xie, Yu-wei Hou, Zhaofan He et autres

High Resolution Image Download MS PowerPoint Slide Microbial contamination and antibiotic-resistant bacteria (ARB) pose significant threats to environmental ecosystems, particularly in regions lacking adequate sanitation. Urinary pathogens of human origin, frequently detected in contaminated water and surfaces, represent early indicators of ARB-related …

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Elemental composition analysis of calcium-based urinary stones via laser-induced breakdown spectroscopy for enhanced clinical insights

Haijie Xie, Junkai Huang, Rui Wang, Xiaohong Ma et autres

The purpose of this study was to profile elemental composition of calcium-based urinary stones using laser-induced breakdown spectroscopy (LIBS) and develop a machine learning model to distinguish recurrence-associated profiles by integrating elemental and clinical data. A total of 122 calcium-based stones (41 …

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An Interpretable SERS–AI Platform for Rapid and Quantitative Diagnosis of Polymicrobial UTIs: Powered by Positively Charged Plasmonic Nanoparticles and Attention‐Based Deep Learning

Zhonghua Shen, Linguo Xie, Yu-wei Hou, Junjie Liang et autres

Abstract Polymicrobial urinary tract infections (UTIs) present diagnostic challenges due to overlapping symptoms and limitations of conventional methods. Although SERS and AI have shown potential for microbial diagnostics, existing approaches lack reproducibility, quantification capability, and interpretability—especially in complex clinical samples. Here, a …

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1708MO ZG005 in combination with etoposide and cisplatin for the first-line treatment of advanced neuroendocrine carcinoma

Ye Sang, Jie Xu, Lin Song, Yi Zhang et autres

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Early detection of positive urine culture in patients with urolithiasis: a machine learning model with dynamic online nomogram

Di Luo, Jingdong Zhang, Linguo Xie, Chunyu Liu et autres

BACKGROUND: Positive urine cultures are common in urinary stone patients, yet tools for early infection prediction are limited. To address this gap, a user-friendly, dynamic online nomogram was developed to predict the incidence of positive urine cultures in patients with urolithiasis. METHODS: …

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IP06-17 ELEMENTAL PROFILING OF CALCIUM-BASED URINARY STONES VIA LASER-INDUCED BREAKDOWN SPECTROSCOPY FOR ENHANCED CLINICAL INSIGHTS

Haijie Xie, Junkai Huang, Linguo Xie, Rui Wang et autres

Exploring the association between osteoporosis and kidney stones: a clinical to mechanistic translational study based on big data and bioinformatics

Di Luo, Linguo Xie, Jingdong Zhang, Chunyu Liu

BACKGROUND: Osteoporosis and kidney stones share several common pathophysiological risk factors, and their association is well-established. However, previous studies have primarily focused on environmental mediators, such as diet, and the precise mechanism linking these two conditions remains unclear. METHODS: The relationship between …

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Enhancer Profiling Reveals a Protective Role of RXRα Against Calcium Oxalate‐Induced Crystal Deposition and Kidney Injury

Xudan Dou, Yongzhan Sun, Mengyao Wang, Jing Wang et autres

During the formation of kidney stones, the interaction between crystals and tubular epithelial cells (TECs) leads to tubular injury and dysfunction, which in turn promote stone formation. However, the molecular mechanisms underlying these changes in TECs remain elusive. Drug screening revealed that …

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Vacuum-assisted dedusting lithotripsy: a retrospective comparative study in high-risk patients with positive preoperative urine cultures

Junjie Liang, Zhonghua Shen, Linguo Xie, Chunpeng Li et autres

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