Yilong Wang

Yilong Wang

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article

Previous Organizations / Institutes

The organizations / institutes from the scholar's other articles in the past ten years


Yilong Wang has a total of 30 co-authors. Here are the top co-authors by number of shared publications:

  • Feng Gao

    Department of Neurology, The Childrens Hospital, National Clinical Research Center for Child Health, Zhejiang University School of Medicine, Hangzhou, China

    2 shared publications
  • Mengying Zhu

    Department of Neurology, Children’s Hospital, Zhejiang University School of Medicine , Zhejiang, Hangzhou 310052 , China

    2 shared publications
  • Xiaotong Guo

    National Clinical Research Center for Child Health, Children’s Hospital, Zhejiang University School of Medicine , Zhejiang, Hangzhou 310052 , China

    2 shared publications
  • Xuebin Xu

    National Clinical Research Center for Child Health, Children’s Hospital, Zhejiang University School of Medicine , Zhejiang, Hangzhou 310052 , China

    2 shared publications
  • Duo Zhou

    Department of Genetics and Metabolism, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310052, China

    1 shared publication
  • Fei Deng

    Department of Urology, The Second Xiangya Hospital at Central South University, Changsha, China

    1 shared publication

Latest Publications

  • Open Access

    Extracellular vesicle derived miRNAs from plasma as promising diagnosis and prognosis biomarkers for neuroblastoma

    by Duo Zhou, Yilong Wang, Mengying Zhu, Lingjie Li, Jinkai Peng, Yuxiang Hu, Jieni Xiong, Ting Tao, Jinhu Wang, Zhengyan Zhao


  • Open Access

    Clinical characteristics and associated factors of pediatric acute necrotizing encephalopathy: a retrospective study

    by Huiling Zhang, Yilong Wang, Qianyun Ding, Xuekun Li, Sheng Ye

    Background: In the clinic, pediatric acute necrotizing encephalopathy (ANE) primarily affects children under 5 years of age and is characterized by severe brain damage and high mortality. However, some challenges remain regarding the diagnosis and treatment of ANE. In the present study, we analyzed the clinical characteristics and related factors of ANE with the aim of providing improved diagnostic and treatment strategies.Purpose: The main purpose of this study is to gain a deeper understanding of the clinical characteristics and pathophysiology of ANE through a retrospective study, and to provide clinical practitioners with more effective. diagnostic and treatment strategies to improve patient survival rates and quality of life.Methods: Thirty-four pediatric ANE patients admitted to Zhejiang University School of Medicine Hospital between February 2019 and December 2023 were included in this study. To identify the factors associated with mortality, clinical, laboratory and imaging data were analyzed with independent-sample t tests, Mann-Whitney U tests, Fisher exact probability tests and receiver operating characteristic curve analyses.Results: In this cohort of 34 patients, the most common symptoms were fever, seizures, altered consciousness, vomiting, diarrhea and shock. The mortality rate was 55.9%. Laboratory tests revealed that patients who died had higher creatinine, lactate, activated partial thromboplastin time, thrombin time, interleukin (IL)-6, IL-10, creatine kinase, and D-dimer than survivors. Imaging examinations predominantly revealed symmetrical lesions in the thalamus. The fatal group displayed lower Glasgow Coma Scale (GCS) scores and severe complications. Other factors related to mortality included the arterial pH, GCS score and hospitalization duration.Conclusion: The most common symptoms of ANE are fever, seizures, altered consciousness, vomiting, diarrhea and shock, and ANE has a high mortality rate. The GCS score and arterial pH are critical biomarkers for assessing the severity of ANE.


  • Open Access

    Small extracellular vesicle microRNAs in pediatric myasthenia gravis plasma and skeletal muscle

    by Mengying Zhu, Yilong Wang, Xuebin Xu, Xiaotong Guo, Yuchen Mao, Feng Gao

    Background: The diagnosis of myasthenia gravis (MG) in children remains difficult. Circulating small extracellular vesicle (sEV)-derived miRNAs (sEV-miRNAs) have been recognized as biomarkers of various diseases and can be excreted by different cell types. These biomarker candidates also play a vital role in autoimmune diseases via intercellular communication. Methods: In the present study, we used sEV isolation and purification methods to extract the plasma-derived sEV-miRNAs from children with MG and healthy controls. A small RNA sequencing analysis confirmed the miRNA expression features in plasma-derived sEVs from MG patients. The miRNA expression analysis in vitro was determined using microarray analysis. The enrichment and network analyses of altered sEV-miRNAs were performed using miRNA databases and Database for Annotation, Visualization, and Integrated Discovery website. Quantitative real-time polymerase chain reaction was performed for validation of sEV-miRNA. The diagnostic power of altered sEV-miRNAs was evaluated using receiver operating characteristic curve analyses. Results: Twenty-four sEV-miRNAs with altered expression level were identified between groups by DESeq2 method. The miRNAs were extracted from the sEVs, which were isolated from human primary skeletal muscle cell culture treated with mAb198. The target genes and enriched pathways of sEV-miRNAs partially overlapped between cell supernatant and plasma samples. The significantly downregulated miR-143-3p was validated in quantitative real-time polymerase chain reaction analysis. Conclusions: For the first time, we report that plasma-derived sEV-miRNAs may act as novel circulating biomarkers and therapeutic targets in pediatric MG.


  • Open Access

    WBP2 restrains the lysosomal degradation of GPX4 to inhibit ferroptosis in cisplatin-induced acute kidney injury

    by Zebin Deng, Yilong Wang, Jiachen Liu, Hao Zhang, Lizhi Zhou, Hao Zhao, Yachun Han, Shu Yan, Zheng Dong, Yinhuai Wang, et al.


  • Open Access

    Micro-RNAs from Plasma-Derived Small Extracellular Vesicles as Potential Biomarkers for Tic Disorders Diagnosis

    by Yilong Wang, Xuebin Xu, Haihua Chen, Mengying Zhu, Xiaotong Guo, Feng Gao

    Tic disorders (TDs) are a series of childhood neuropsychiatric disorders characterized by involuntary motor and/or vocal tics and commonly comorbid with several other psychopathological and/or behavioral disorders (e.g., attention deficit hyperactivity disorder and obsessive–compulsive disorder), which indeed aggravate clinical symptoms and complicate diagnosis and treatment. Micro-RNAs (miRNAs) derived from small extracellular vesicles (sEVs) have been recognized as novel circulating biomarkers of disease. To identify specific miRNAs derived from plasma sEVs for TDs’ diagnosis and prognosis, we used official EV isolation and purification methods to characterize the plasma-derived EV miRNAs from children with different types of TDs. Nanoparticle tracking analysis, transmission electron microscopy, and immunoblot analysis of EV surface markers were applied to confirm the features and quality of sEVs. The RNA sequencing (RNA-seq) approach was adapted to identify novel circulating sEVs-derived miRNAs with altered expression levels in paired comparisons of TDs versus healthy controls (HCs), transient tic disorder (TTD) versus chronic motor or vocal tic disorder (CTD), and TTD versus Tourette Syndrome (TS). GO term and KEGG pathway were performed for functional analysis and the receiver operator curve analysis was followed to test the diagnosis efficacy of differentially expressed miRNAs (DEMs) derived from plasma sEVs among paired groups, namely, TDs versus HCs, TTD versus CTD, and TTD versus TS. As a result, 10 miRNAs (hsa-let-7a, hsa-let-7b, hsa-let-7c, hsa-let-7e, hsa-let-7f, hsa-miR-25-3p, hsa-miR-29a-3p, hsa-miR-30b-5p, hsa-miR-125b-5p, and hsa-miR-1469) have demonstrated a significantly different expression signature in the TDs group compared to HCs with excellent area under curve (AUC) values of 0.99, 0.973, 0.997, 1, 0.99, 0.997, 0.987, 0.993, 0.977, and 0.997, respectively, and the diagnostic efficacy of miRNAs was also estimated for discriminating TTD from CTD or TS. In our research, we finally obtained several potential sEVs-derived miRNA biomarkers to assess the diagnosis and prognosis of TDs.