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Featured researches published by Qingxia Ling.


Cancer Research | 2016

Acetylcarnitine Is a Candidate Diagnostic and Prognostic Biomarker of Hepatocellular Carcinoma

Yonghai Lu; Ning Li; Liang Gao; Yong-Jiang Xu; Chong Huang; Kangkang Yu; Qingxia Ling; Qi Cheng; Shengsen Chen; Mengqi Zhu; Jinling Fang; Mingquan Chen; Choon Nam Ong

The identification of serum biomarkers to improve the diagnosis and prognosis of hepatocellular carcinoma has been elusive to date. In this study, we took a mass spectroscopic approach to characterize metabolic features of the liver in hepatocellular carcinoma patients to discover more sensitive and specific biomarkers for diagnosis and progression. Global metabolic profiling of 50 pairs of matched liver tissue samples from hepatocellular carcinoma patients was performed. A series of 62 metabolites were found to be altered significantly in liver tumors; however, levels of acetylcarnitine correlated most strongly with tumor grade and could discriminate between hepatocellular carcinoma tumors and matched normal tissues. Post hoc analysis to evaluate serum diagnosis and progression potential further confirmed the diagnostic capability of serum acetylcarnitine. Finally, an external validation in an independent batch of 58 serum samples (18 hepatocellular carcinoma patients, 20 liver cirrhosis patients, and 20 healthy individuals) verified that serum acetylcarnitine was a meaningful biomarker reflecting hepatocellular carcinoma diagnosis and progression. These findings present a strong new candidate biomarker for hepatocellular carcinoma with potentially significant diagnostic and prognostic capabilities. Cancer Res; 76(10); 2912-20. ©2016 AACR.


Scientific Reports | 2016

The combination of three molecular markers can be a valuable predictive tool for the prognosis of hepatocellular carcinoma patients

Shengsen Chen; Kangkang Yu; Qingxia Ling; Chong Huang; Ning Li; Jianming Zheng; Suxia Bao; Qi Cheng; Mengqi Zhu; Mingquan Chen

Based on molecular profiling, several prognostic markers for HCC are also used in clinic, but only a few genes have been identified as useful. We collected 72 post-operative liver cancer tissue samples. Genes expression were tested by RT-PCR. Multilayer perceptron and discriminant analysis were built, and their ability to predict the prognosis of HCC patients were tested. Receiver operating characteristic (ROC) analysis was performed and multivariate analysis with Cox’s Proportional Hazard Model was used for confirming the markers’predictive efficiency for HCC patients’survival. A simple risk scoring system devised for further predicting the prognosis of liver tumor patients. Multilayer perceptron and discriminant analysis showed a very strong predictive value in evaluating liver cancer patients’prognosis. Cox multivariate regression analysis demonstrated that DUOX1, GLS2, FBP1 and age were independent risk factors for the prognosis of HCC patients after surgery. Finally, the risk scoring system revealed that patients whose total score >1 and >3 are more likely to relapse and die than patients whose total score ≤1 and ≤3. The three genes model proposed proved to be highly predictive of the HCC patients’ prognosis. Implementation of risk scoring system in clinical practice can help in evaluating survival of HCC patients after operation.


Clinics and Research in Hepatology and Gastroenterology | 2017

Role of interleukin-23 in monocyte-derived dendritic cells of HBV-related acute-on-chronic liver failure and its correlation with the severity of liver damage.

Suxia Bao; Jianming Zheng; Ning Li; Chong Huang; Mingquan Chen; Qi Cheng; Qian Li; Qing Lu; Mengqi Zhu; Qingxia Ling; Kangkang Yu; Shengshen Chen; Guangfeng Shi

BACKGROUND The role of interleukin-23 (IL-23) in monocyte-derived dendritic cells (MoDCs) from hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) patients remains unclear. The aim of this study was to observe the correlation between the activation of the IL-23 signaling pathway and the prognosis of HBV-ACLF patients. MATERIALS AND METHODS The baseline levels of serum IL-6, IL-12, IL-17, IL-23, tumor necrosis factor-α (TNF-α), and interferon-γ (IFN-γ) from immune tolerant (IT), chronic hepatitis B (CHB), HBV-ACLF patients and healthy individuals who served as healthy controls (HCs) were analyzed using the Luminex system, whereas serum IL-23 from HBV-ACLF patients was measured by ELISA before and after treatment. Purified monocytes were isolated from peripheral blood and were induced into MoDCs, IL-23, IL-23R, NF-κB and TRAF6 expression in MoDCs from 4 groups was analyzed using real-time PCR, and IL-23R and intracellular IL-23 were evaluated by flow cytometry. RESULTS Serum IL-6, IL-12, IL-17, IL-23 and TNF-α levels were upregulated in HBV-ACLF patients compared with IT patients, CHB patients and HCs (P<0.05 for all). Serum IL-23 was closely correlated with elevated serum IL-17 in HBV-ACLF patients (r=0.5935, P<0.0001). Moreover, IL-23 and IL-23R levels were significantly upregulated in MoDCs from patients with CHB or HBV-ACLF compared with HCs, and further upregulation of IL-23 and IL-23R was observed in HBV-ACLF patients compared to CHB patients (P<0.05 for all). IL-23 expression was markedly enhanced and was correlated with elevated NF-κB and TRAF6 in MoDCs from HBV-ACLF patients (P<0.05 for both). Linear correlation analysis demonstrated significant correlations between the expression of IL-23 and disease severity markers (MELD scoring system, international normalized ratio, prothrombin time and total bilirubin, r=0.6874, r=0.6475, r=0.6249, r=0.3771, respectively, P<0.05 for all) for individual HBV-ACLF patients, and IL-23 levels were significantly upregulated in non-survival HBV-ACLF patients compared with survival HBV-ACLF patients (P<0.05). CONCLUSION IL-23 in serum and MoDCs is significantly elevated in HBV-ACLF patients, TRAF6/NF-κB may play a role in IL-23 production by MoDCs in HBV-ACLF patients and high pre-treatment IL-23 levels in MoDCs are associated with mortality in HBV-ACLF patients.


Biochemical and Biophysical Research Communications | 2017

MicroRNA-548j inhibits type I interferon production by targeting ZBTB11 in patients with chronic hepatitis B

Kangkang Yu; Qian Li; Qi Cheng; Chong Huang; Jianming Zheng; Shengsen Chen; Qingxia Ling; Mengqi Zhu; Mingquan Chen; Guangfeng Shi; Ning Li

Type I IFNs play crucial roles in antiviral immune responses. By inducing cellular resistance to viral infection and apoptosis of virus-infected cells, they impair virus replication and eliminate the invading pathogens. However, in CHB patients, generation of type I IFN was significantly impaired and the underlying mechanisms have not been fully understood. MicroRNA-548 family has been implicated in regulating antiviral response upon various infections. Here we explored the potential role of miR-548j in modulating type I IFN production in CHB. We found that miR-548j expression increased in MoDCs from CHB patients than that from healthy volunteers and transient transfection of miR-548j mimic led to a marked decrease of IFN-α/β production in MoDCs from healthy volunteers while blockade of miR-548j by anti-miR-548j significantly restored IFN-α/β secretion in MoDCs from CHB patients. In addition, Zinc finger and BTB domain containing 11 (ZBTB11) was predicted and finally confirmed to be a target of miR-548j. Forced expression of ZBTB11 also restored IFN-α/β secretion in MoDCs from CHB patients. These results indicate the involvement of miR-548j in aberrant production of type I IFN in CHB patients, and provide a potential target for developing anti-HBV therapies.


Scientific Reports | 2016

Factors associated with significant liver necroinflammation in chronic hepatitis B patients with cirrhosis

Shengsen Chen; Kangkang Yu; Qingxia Ling; Chong Huang; Ning Li; Jianming Zheng; Suxia Bao; Qi Cheng; Mengqi Zhu; Mingquan Chen

We determined the association between various clinical parameters and significant liver necroinflammation in patients with chronic hepatitis B (CHB) related cirrhosis. Two hundred patients with CHB related cirrhosis were recruited in the final analysis. Clinical laboratory values and characteristics were obtained from the medical record. We performed analyses of the relationships between independent variables and significant liver necroinflammation by using binary logistic regression analysis and discriminant analysis. Significant liver necroinflammation (grade≥2) was found in 58.0% (80/138) of antiviral therapy patients and 48.4% (30/62) of non antiviral therapy patients respectively. Also, there were some significant differences in serum hepatitis B surface antigen (HBsAg), serum hepatitis B e antigen (HBeAg) and serum hepatitis B virus (HBV) DNA between antiviral therapy and non antiviral therapy patients. After that, aspartate aminotransferase (AST), total bilirubin (TBIL), total bile acid (TBA), prothrombin time (PT), aspartate aminotransferase to platelet ratio index (APRI) and serum HBV DNA were confirmed as independent predictors of significant liver necroinflammation in CHB patients with cirrhosis by univariate analysis and multivariate analysis (p = 0.002, 0.044, 0.001, 0.014, 0.01 and 0.02 respectively). Finally, receiver operating characteristic (ROC) curve analysis and discriminant analysis validated that these six variables together have strong predictive power to evaluate significant liver necroinflammation.


Oncotarget | 2018

Comparison of hepatic and serum lipid signatures in hepatocellular carcinoma patients leads to the discovery of diagnostic and prognostic biomarkers

Yonghai Lu; Juanjuan Chen; Chong Huang; Ning Li; Li Zou; Sin Eng Chia; Shengsen Chen; Kangkang Yu; Qingxia Ling; Qi Cheng; Mengqi Zhu; Weidong Zhang; Mingquan Chen; Choon Nam Ong

We compared hepatic and serum lipid changes in hepatocellular carcinoma (HCC) patients to have a better understanding of the molecular pathogenesis of this disease and discovery novel lipid biomarkers. Hepatic and serum lipid profiling was conducted in paired liver and serum samples from 50 HCC patients and 24 healthy controls. A total of 20 hepatic and 40 serum lipid signatures were identified, yet there was hardly any significant correlation between them. The results indicated that triglycerides and phosphatidylcholines contributed significantly to altered hepatic lipids, whereas triglycerides and phosphatidylethanolamine-based plasmalogens (PEp) contributed most to altered serum lipids. In serum, PEp (36:4) and (40:6) showed a fair capability to discriminate HCC patients from healthy controls, and were significantly associated with HCC tumor grades (p < 0.05), and thus were identified as potential diagnostic and prognostic biomarkers of HCC. These findings were confirmed by a validation study conducted in an independent cohort consisting of 18 HCC, 20 cirrhosis patients, and 20 healthy controls. This study suggests that hepatic and serum lipid signatures of HCC have to be considered as mostly independent, and the results imply potential roles of PEp species, particularly PEp (36:4) and (40:6), as serum biomarkers for HCC diagnosis and progression.


American Journal of Cancer Research | 2014

Epigenetic silencing of dual oxidase 1 by promoter hypermethylation in human hepatocellular carcinoma.

Qingxia Ling; Wei Shi; Chong Huang; Jianming Zheng; Qi Cheng; Kangkang Yu; Shengsen Chen; Hao Zhang; Ning Li; Mingquan Chen


Metabolomics | 2015

Identification of serum biomarkers associated with hepatitis B virus-related hepatocellular carcinoma and liver cirrhosis using mass-spectrometry-based metabolomics

Yonghai Lu; Chong Huang; Liang Gao; Yong-Jiang Xu; Sin Eng Chia; Shengsen Chen; Ning Li; Kangkang Yu; Qingxia Ling; Qi Cheng; Mengqi Zhu; Mingquan Chen; Choon Nam Ong


International Journal of Clinical and Experimental Medicine | 2014

Fever of unknown origin: report of 107 cases in a university hospital

Kangkang Yu; Shengsen Chen; Qingxia Ling; Chong Huang; Jianming Zheng; Qi Cheng; Ning Li; Mingquan Chen; Guangfeng Shi


Case Reports in Clinical Medicine | 2014

One Case about the Diagnosis and Treatment of Right-Sided Infective Endocarditis without Any Inducement

Shengsen Chen; Kangkang Yu; Qingxia Ling; Chong Huang; Jianming Zheng; Qi Cheng; Mengqi Zhu; Ning Li; Mingquan Chen

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