Huilai Miao

Huilai Miao

*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


Huilai Miao has a total of 56 co-authors. Here are the top co-authors by number of shared publications:

  • Bin Liang

    Center for Life Sciences, Yunnan Key Laboratory of Cell Metabolism and Diseases, School of Life Sciences, Yunnan University, Kunming 650500, China; Southwest United Graduate School, Kunming 650092, China

    2 shared publications
  • Linqiang Zhang

    Department of Hepatobiliary Surgery, Affiliated Hospital of Guangdong Medical University

    2 shared publications
  • Tingting Zhu

    Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences

    2 shared publications
  • Bingyan Dai

    Guangdong Key Laboratory of Age-Related Cardiac and Cerebral Diseases, Institute of Neurology, Affiliated Hospital of Guangdong Medical University, Zhanjiang 524001, China

    1 shared publication
  • Bo Jin

    School of Innovation and Entrepreneurship, Dalian University of Technology, Dalian, China

    1 shared publication
  • Chengbin Li

    Center for Life Sciences, School of Life Sciences, Yunnan University, Kunming, Yunnan, China

    1 shared publication

Latest Publications

  • Dynamic graph representation learning based on multi-scale attention

    by Pingtao Duan, Yanqun Wu, Jiayi Wei, Jing Tian, Jiang Wu, Lin Lin, Huilai Miao, Jinchao Cui, Hui Wang, Dong Ouyang, et al.

  • Open Access

    The Calcium Binding Protein S100A11 and Its Roles in Diseases

    by Linqiang Zhang, Tingting Zhu, Huilai Miao, Bin Liang

    The calcium binding protein S100 family in humans contains 21 known members, with each possessing a molecular weight between 10 and 14 kDa. These proteins are characterized by a unique helix-loop-helix EF hand motif, and often form dimers and multimers. The S100 family mainly exists in vertebrates and exerts its biological functions both inside cells as a calcium sensor/binding protein, as well as outside cells. S100A11, a member of the S100 family, may mediate signal transduction in response to internal or external stimuli and it plays various roles in different diseases such as cancers, metabolic disease, neurological diseases, and vascular calcification. In addition, it can function as chemotactic agent in inflammatory disease. In this review, we first detail the discovery of S100 proteins and their structural features, and then specifically focus on the tissue and organ expression of S100A11. We also summarize its biological activities and roles in different disease and signaling pathways, providing an overview of S100A11 research thus far.


  • Open Access

    S100A11 Promotes Liver Steatosis via FOXO1-Mediated Autophagy and Lipogenesis

    by Linqiang Zhang, Zhiguo Zhang, Chengbin Li, Tingting Zhu, Jing Gao, Hu Zhou, Yingzhuan Zheng, Qing Chang, Mingshan Wang, Jieyu Wu, et al.


  • Open Access

    Nomograms predicting long-term survival in patients with invasive intraductal papillary mucinous neoplasms of the pancreas: A population-based study

    by Jia-Yuan Wu, Yu-Feng Wang, Huan Ma, Sha-Sha Li, Hui-Lai Miao

    BACKGROUND There are few effective tools to predict survival in patients with invasive intraductal papillary mucinous neoplasms of the pancreas. AIM To develop comprehensive nomograms to individually estimate the survival outcome of patients with invasive intraductal papillary mucinous neoplasms of the pancreas. METHODS Data of 1219 patients with invasive intraductal papillary mucinous neoplasms after resection were extracted from the Surveillance, Epidemiology, and End Results database, and randomly divided into the training (n = 853) and the validation (n = 366) cohorts. Based on the Cox regression model, nomograms were constructed to predict overall survival and cancer-specific survival for an individual patient. The performance of the nomograms was measured according to discrimination, calibration, and clinical utility. Moreover, we compared the predictive accuracy of the nomograms with that of the traditional staging system. RESULTS In the training cohort, age, marital status, histological type, T stage, N stage, M stage, and chemotherapy were selected to construct nomograms. Compared with the American Joint Committee on Cancer 7(th) staging system, the nomograms were generally more discriminative. The nomograms passed the calibration steps by showing high consistency between actual probability and nomogram prediction. Categorial net classification improvements and integrated discrimination improvements suggested that the predictive accuracy of the nomograms exceeded that of the American Joint Committee on Cancer staging system. With respect to decision curve analyses, the nomograms exhibited more preferable net benefit gains than the staging system across a wide range of threshold probabilities. CONCLUSION The nomograms show improved predictive accuracy, discrimination capability, and clinical utility, which can be used as reliable tools for risk classification and treatment recommendations.


  • Open Access

    Identify potential clinical significance of long noncoding RNA forkhead box P4 antisense RNA 1 in patients with early stage pancreatic ductal adenocarcinoma

    by Xiao‐Guang Liu, Hao Xu, Ming Chen, Xiao‐Yu Tan, Xiao‐Feng Chen, Yong‐Guang Yang, Man‐Zhou Lin, Guo‐Hua Liu, Xiao‐Lu Liang, Yi‐Bin Qian, et al.

    Previous studies have shown that forkhead box P4 antisense RNA 1 (FOXP4‐AS1) is dysregulated in tumor tissues and can serve as a prognostic indicator for multiple cancers. However, the clinical significance of FOXP4‐AS1 in pancreatic ductal adenocarcinoma (PDAC) remains unclear. The goal of this study is to recognize the possible clinical significance of long noncoding RNA FOXP4‐AS1 in patients with early stage PDAC. A total of 112 patients from The Cancer Genome Atlas (TCGA) PDAC cohort, receiving RNA sequencing, were involved in the study. Survival analysis, functional mechanism, and potential small molecule drugs of target therapy of FOXP4‐AS1 were performed in this study. Survival analysis in TCGA PDAC cohort suggested that patients with high FOXP4‐AS1 expression had significantly augmented possibility of death than in PDAC patients with lower FOXP4‐AS1 expression (adjusted P = .008; adjusted HR = 2.143, 95% CI = 1.221‐3.760). In this study, a genome‐wide RNA sequencing dataset was used to identify 927 genes co‐expressing with FOXP4‐AS1 in PDAC tumor tissues. A total of 676 differentially expressed genes were identified between different FOXP4‐AS1 expression groups. Functional enrichment analysis of these genes and gene set enrichment analysis for PDAC genome‐wide RNA sequencing dataset was done. We have found that FOXP4‐AS1 may function in PDAC by participating in biological processes and pathways including oxidative phosphorylation, tricarboxylic acid cycle, classical tumor‐related pathways such as NF‐kappaB as well as Janus kinase/signal transducers in addition to activators of transcription, cell proliferation, and adhesion. In addition, we also screened two potential targeted therapeutic small molecule drugs (dimenhydrinate and metanephrine) for FOXP4‐AS1 in PDAC. In conclusion, our present study demonstrated that higher expression of FOXP4‐AS1 in PDAC tumor tissues were related with an inferior medical outcome. Through multiple genome‐wide approaches, we identified the potential molecular mechanisms of FOXP4‐AS1 in PDAC and two targeted therapeutic drugs for it.


  • Accuracy of Fukuoka and American Gastroenterological Association Guidelines for Predicting Advanced Neoplasia in Pancreatic Cyst Neoplasm: A Meta-Analysis

    by Jiayuan Wu, Yufeng Wang, Zitao Li, Huilai Miao

    Background A differential diagnosis of advanced pancreatic cystic neoplasms (PCNs) is critical to determine optimal treatment. The Fukuoka and American Gastroenterological Association (AGA) guidelines...


  • Open Access

    Hepatic Stellate Cell‐Derived Microvesicles Prevent Hepatocytes from Injury Induced by APAP/H2O2

    by Renwei Huang, Qunwen Pan, Xiaotang Ma, Yan Wang, Yaolong Liang, Bingyan Dai, Xiaorong Liao, Mingyi Li, Huilai Miao

    Hepatic stellate cells (HSCs), previously described for liver‐specific mesenchymal stem cells (MSCs), appear to contribute to liver regeneration. Microvesicles (MVs) are nanoscale membrane fragments, which can regulate target cell function by transferring contents from their parent cells. The aim of this study was to investigate the effect of HSC‐derived MVs on xenobiotic‐induced liver injury. Rat and human hepatocytes, BRL‐3A and HL‐7702, were used to build hepatocytes injury models by n‐acetyl‐p‐aminophenol n‐(APAP) or H2O2 treatment. MVs were prepared from human and rat HSCs, LX‐2, and HST‐T6 and, respectively, added to injured BRL‐3A and HL‐7702 hepatocytes. MTT assay was utilized to determine cell proliferation. Cell apoptosis was analyzed by flow cytometry and hoechst33258 staining. Western blot was used for analyzing the expression of activated caspase‐3. Liver injury indicators, alanine aminotransferase (ALT), aspartate aminotransferase (AST), and lactate dehydrogenase (LDH) in culture medium were also assessed. Results showed that (1) HSC‐MVs derived from LX‐2 and HST‐T6 were positive to CD90 and annexin V surface markers; (2) HSC‐MVs dose‐dependently improved the viability of hepatocytes in both injury models; (3) HSC‐MVs dose‐dependently inhibited the APAP/H2O2 induced hepatocytes apoptosis and activated caspase‐3 expression and leakage of LDH, ALT, and AST. Our results demonstrate that HSC‐derived MVs protect hepatocytes from toxicant‐induced injury.