Jianming Huang

Prof. Dr. Jianming Huang

Shanghai Pudong Hospital, Fudan University Pudong Medical Center

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

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

Representative Publications

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1 January 2018 in Biochemical and Biophysical Research Communications
Verified
Journal Article
Closed access
TCTing Cao
Ting Cao
XZXiong Zhang
Xiong Zhang
DYDan Yang
Dan Yang
YWYue-Qian Wang
Yue-Qian Wang
ZQZheng-Dong Qiao
Zheng-Dong Qiao
PZPeng Zhang
Peng Zhang

24 November 2016 in European Spine Journal
Verified
Journal Article
Closed access
PDF file
YJYun-Qi Jiang
Yun-Qi Jiang
XLXi-Lei Li
Xi-Lei Li
XZXiao-Gang Zhou
Xiao-Gang Zhou
CBChong Bian
Chong Bian
HWHan-Ming Wang
Han-Ming Wang
JDJian Dong
Jian Dong

1 March 2017 in Medicine
Verified
Journal Article
Open access
PDF file
XZXiao-Yi Zhou
Xiao-Yi Zhou
XXXi-Ming Xu
Xi-Ming Xu
FWFei Wang
Fei Wang
SWSui-Yi Wu
Sui-Yi Wu
YYYi-Lin Yang
Yi-Lin Yang
XWXianzhao Wei
Xianzhao Wei
The Pain Anxiety Symptoms Scale (PASS) has been developed to evaluate pain anxiety, which leads to avoidance of daily activities and normal movements. However, a simplified Chinese version of PASS is still not available. Physicians are not aware of which patients are prone to anxiety, and what the risk factors are. To cross-culturally adapt the PASS into a simplified Chinese version and test the reliability and validity. Factors affecting pain anxiety were also explored. The PASS was first translated into a simplified Chinese version according to a forward-backward method. Then, validations were tested including content validity, construct validity, and reliability. Content validity was analyzed by response trend. Construct validity was analyzed by confirmatory factor analysis (CFA), exploratory factor analysis, and priori hypotheses testing. Reliability was analyzed by internal consistency and test–retest reliability. Risk factors of catastrophizing were analyzed by performing multivariate liner regression. A total of 219 patients were included in the study. The scores of items were well distributed. Both CFA and exploratory factor analysis suggested a 2nd-order, 4-factor model, accounting for 65.42% of the total variance according to principle component analysis. SC-PASS obtained good reliability with a Cronbach α = 0.92 and ICC = 0.90. College education, long pain duration, and both married and divorced status were risk factors. Factors reduced pain-related anxiety were no medication assumption, female sex, widowed status, non-Han ethnicity, and having no religious belief. The SC-PASS was applicable in Chinese patients and it was suitable for the clinical uses in mainland China.

29 September 2020 in Biological Research
Verified
Journal Article
Open access
PDF file
DCDanxia Cao
Danxia Cao
HZHan Zhu
Han Zhu
QZQian Zhao
Qian Zhao
JHJianming Huang
Jianming Huang
CZCixiang Zhou
Cixiang Zhou
YLYongjun Liang
Yongjun Liang
Background: Breast cancer, the most common cancer in women worldwide, causes the vast majority of cancer-related deaths. Undoubtedly, tumor metastasis and recurrence are responsible for more than 90 percent of these deaths. MicroRNAs are endogenous noncoding RNAs that have been integrated into almost all the physiological and pathological processes, including metastasis. In the present study, the role of miR-128 in breast cancer was investigated. Results: Compared to the corresponding adjacent normal tissue, the expression of miR-128 was significantly suppressed in human breast cancer specimens. More importantly, its expression level was reversely correlated to histological grade of the cancer. Ectopic expression of miR-128 in the aggressive breast cancer cell line MDA-MB-231 could inhibit cell motility and invasive capacity remarkably. Afterwards, Metadherin (MTDH), also known as AEG-1 (Astrocyte Elevated Gene 1) and Lyric that implicated in various aspects of cancer progression and metastasis, was further identified as a direct target gene of miR-128 and its expression level was up-regulated in clinical samples as expected. Moreover, knockdown of MTDH in MDA-MB-231 cells obviously impaired the migration and invasion capabilities, whereas re-expression of MTDH abrogated the suppressive effect caused by miR-128. Conclusions: Overall, these findings demonstrate that miR-128 could serve as a novel biomarker for breast cancer metastasis and a potent target for treatment in the future.