Xiaodong Zhao

Prof. Xiaodong Zhao

Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiaotong University, Shanghai 200240, China

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 May 2018 in Oncogene
Verified
Journal Article
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STSheng Tan
Sheng Tan
HLHua Li
Hua Li
WZWeijie Zhang
Weijie Zhang
YSYunying Shao
Yunying Shao
YLYuan Liu
Yuan Liu
TZTao Zhu
Tao Zhu

1 November 2018 in Computer Methods and Programs in Biomedicine
Verified
Journal Article
Closed access
YXYawen Xiao
Yawen Xiao
JWJun Wu
Jun Wu
Zongli LinZongli Lin
Zongli Lin
XZXiaodong Zhao
Xiaodong Zhao

29 March 2017 in Marine Drugs
Verified
Journal Article
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YKYani Kang
Yani Kang
ZWZhijiang Wang
Zhijiang Wang
DXDongsheng Xie
Dongsheng Xie
XSXue Sun
Xue Sun
WYWenge Yang
Wenge Yang
NXNianjun Xu
Nianjun Xu
Substances with valuable antitumor properties have been identified in many marine algae, including an edible polysaccharide from the marine alga Gracilariopsis lemaneiformis (PGL). We previously reported transcriptome profiling data showing that PGL induced transcriptional alterations generate anti-lung cancer activity. To identify how PGL is detrimental to tumors, we purified PGL to characterize its chemical composition, molecular weight, and sugar and protein content and investigated its antitumor activity. We demonstrated that PGL exerted its antitumor activities by modulating cell viability, morphology, apoptosis, and the apoptosis-related Fas/FasL signaling pathway in the human lung cancer cell line A549, the gastric cancer cell line MKN28, and the mouse melanoma cell line B16. Our data provide the first evidence that PGL inhibits cell proliferation by inducing apoptosis, which is largely mediated by Fas/FasL in cancer cells, suggesting that PGL might be a novel therapeutic agent against cancer.

9 February 2016 in Oncotarget
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Journal Article
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YQYing Qi
Ying Qi
HOHong Sain Ooi
Hong Sain Ooi
JWJun Wu
Jun Wu
JCJian Chen
Jian Chen
XZXiaoli Zhang
Xiaoli Zhang
XZXiaodong Zhao
Xiaodong Zhao
MALAT1 long ncRNA promotes gastric cancer metastasis by suppressing PCDH10 MALAT1 long ncRNA promotes gastric cancer metastasis by suppressing PCDH10

16 March 2021 in Frontiers in Immunology
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Journal Article
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SLShuangqing Liu
Shuangqing Liu
XWXinkun Wang
Xinkun Wang
FSFei She
Fei She
WZWei Zhang
Wei Zhang
HLHongsheng Liu
Hongsheng Liu
XZXiaodong Zhao
Xiaodong Zhao
Background: The current study aimed to evaluate the relationship between the neutrophil-to-lymphocyte ratio (NLR) combined with interleukin (IL)-6 on admission day and the 28-day mortality of septic patients.Material and Methods: We conducted an observational retrospective study. Patients with presumed sepsis were included. We observed the correlation of studied biomarkers (NLR, IL-6, PCT, and CRP) and the severity scores (APACHE II and SOFA scores) by plotting scatter plots. The relationships of the studied biomarkers and 28-day mortality were evaluated by using Cox regression model, receiver-operating characteristic (ROC) curve, and reclassification analysis.Results: A total of 264 patients diagnosed with sepsis were enrolled. It was revealed that IL-6 had the strongest correlation with both APACHE II and SOFA scores, followed by the NLR and PCT, and there was no obvious correlation between CRP and the illness severity. NLR and IL-6 were independent predictors of the 28-day mortality in septic patients in the Cox regression model [NLR, odds ratio 1.281 (95% CI 1.159–1.414), P < 0.001; IL-6, odds ratio 1.017 (95% CI 1.005–1.028), P=0.004]. The area under the ROC curve (AUC) of NLR, IL-6 and NLR plus IL-6 (NLR_IL-6) was 0.776, 0.849, and 0.904, respectively.Conclusion: Our study showed that the levels of NLR and IL-6 were significantly higher in the deceased patients with sepsis. NLR and IL-6 appeared to be independent predictors of 28-day mortality in septic patients. Moreover, NLR combined with IL-6 could dramatically enhance the prediction value of 28-day mortality.

1 January 2021 in Burns & Trauma
Verified
Journal Article
Open access
PDF file
SLShuangqing Liu
Shuangqing Liu
YLYuxuan Li
Yuxuan Li
FSFei She
Fei She
XZXiaodong Zhao
Xiaodong Zhao
YYYong-ming Yao
Yong-ming Yao
The current study aimed to evaluate the value of immune cell counts and neutrophil-to-lymphocyte ratio (NLR) when attempting to predict 28-day mortality. We conducted an observational retrospective study that included consecutive septic patients. Severity scores on the first day and peripheral circulating immune cell counts (at day 1, day 3, day 5 and day 7 of admission) were collected during each patient’s emergency intensive care unit stay. We assessed the associations of peripheral circulating immune cell counts and NLR with the severity of illness. The relationships between 28-day mortality and peripheral circulating immune cell counts and NLR with were evaluated using Cox proportional cause-specific hazards models. A total of 216 patients diagnosed with sepsis caused by IAI were enrolled. The lymphocyte counts (days 1, 3, 5 and 7) and monocyte counts (days 3, 5 and 7) were significantly lower in non-survivors (n = 72) than survivors (n = 144). The NLR values at each time point were significantly higher in non-survivors. The day 1 lymphocyte counts, as well as the monocyte counts, were significantly lower in the highest-scoring group, when stratified by the Acute Physiology and Chronic Health Evaluation II and Sequential Organ Failure Assessment scores, than in the other groups (p < 0.05). The day 1 NLR was significantly higher in the highest-scoring group than in the other groups (p < 0.05). The day 5 and day 7 lymphocyte counts, day 3 and day 7 monocyte counts and day 7 NLR were significant predictors of 28-day mortality in the Cox proportional hazards models (day 5 lymphocyte count: hazard ratio, 0.123 (95% CI, 0.055–0.279), p < 0.001; day 7 lymphocyte count: hazard ratio, 0.115 (95% CI, 0.052–0.254), p < 0.001; day 3 monocyte count: hazard ratio, 0.067 (95% CI, 0.005–0.861), p = 0.038; day 7 monocyte count: hazard ratio, 0.015 (95% CI, 0.001–0.158), p < 0.001; day 7 NLR: hazard ratio, 0.773 (95% CI, 0.659–0.905), p = 0.001). The results showed that circulating lymphocytes and monocytes were dramatically decreased within 7 days in non-survivors following sepsis from an IAI. Lymphocyte counts, monocyte counts and NLR appeared to be associated with the severity of illness, and they may serve as independent predictors of 28-day mortality in septic patients with IAIs.