Weiwei Su

Dr. Weiwei Su


Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

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

Representative Publications

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5 March 2014 in Journal of Chemical Information and Modeling
Verified
Journal Article
Open access
HLHaibin Liu
Haibin Liu
LWLirong Wang
Lirong Wang
MLMingliang Lv
Mingliang Lv
RPRongrong Pei
Rongrong Pei
PLPeibo Li
Peibo Li
XXXiang-Qun Xie
Xiang-Qun Xie
Alzheimer’s disease (AD) is one of the most complicated progressive neurodegeneration diseases that involve many genes, proteins, and their complex interactions. No effective medicines or treatments are available yet to stop or reverse the progression of the disease due to its polygenic nature. To facilitate discovery of new AD drugs and better understand the AD neurosignaling pathways involved, we have constructed an Alzheimer’s disease domain-specific chemogenomics knowledgebase, AlzPlatform (www.cbligand.org/AD/) with cloud computing and sourcing functions. AlzPlatform is implemented with powerful computational algorithms, including our established TargetHunter, HTDocking, and BBB Predictor for target identification and polypharmacology analysis for AD research. The platform has assembled various AD-related chemogenomics data records, including 928 genes and 320 proteins related to AD, 194 AD drugs approved or in clinical trials, and 405 188 chemicals associated with 1 023 137 records of reported bioactivities from 38 284 corresponding bioassays and 10 050 references. Furthermore, we have demonstrated the application of the AlzPlatform in three case studies for identification of multitargets and polypharmacology analysis of FDA-approved drugs and also for screening and prediction of new AD active small chemical molecules and potential novel AD drug targets by our established TargetHunter and/or HTDocking programs. The predictions were confirmed by reported bioactivity data and our in vitro experimental validation. Overall, AlzPlatform will enrich our knowledge for AD target identification, drug discovery, and polypharmacology analyses and, also, facilitate the chemogenomics data sharing and information exchange/communications in aid of new anti-AD drug discovery and development.

1 February 2012 in Journal of Ethnopharmacology
Verified
Journal Article
Closed access
JWJinxu Wang
Jinxu Wang
XTXin Tong
Xin Tong
PLPeibo Li
Peibo Li
HCHui Cao
Hui Cao
WSWeiwei Su
Weiwei Su

27 March 2020 in Frontiers in Pharmacology
Verified
Journal Article
Open access
PDF file
YBYang Bai
Yang Bai
WPWei Peng
Wei Peng
CYCuiping Yang
Cuiping Yang
WZWei Zou
Wei Zou
MLMenghua Liu
Menghua Liu
WSWeiwei Su
Weiwei Su
Background: Pharmacokinetics provides a scientific basis for drug product design, dosage regimen planning, understanding the body's action on the drug, and relating the time course of the drug in the body to its pharmacodynamics and/or toxic effects. Recently, naringin, a natural flavonoid, was approved for clinical trials as a first-class new drug product by the China Food and Drug Administration, owing to its nonclinical efficacy in relieving cough, reducing sputum, and low toxicity. Previous reports focused on the pharmacokinetic studies of naringin or its active metabolite naringenin in rats, which were scattered and insufficient because naringin was coadministered with mixtures such as herbs, fruits, and other traditional medicines. The purpose of this study was to evaluate the pharmacokinetics and metabolism of naringin and naringenin, following oral and intravenous administration of naringin in rats, dogs, and humans, which can be beneficial for new drug development. Methods: Separate bioanalytical methods were developed and validated to determine the concentrations of naringin and its active metabolite naringenin in biological samples obtained from rats, dogs, and humans. Comprehensive nonclinical and clinical data were used to estimate the pharmacokinetic parameters of naringin and naringenin. Experiments included single-dose studies (oral and intravenous administration), multiple-dose studies, and an assessment of food-effects. Furthermore, the metabolism of naringin and naringenin was studied in rat and human liver and kidney microsomes. All biological samples were analyzed using liquid chromatography-tandem mass spectrometry. Results: The pharmacokinetic parameters of naringin and naringenin were calculated and the results show an insignificant influence of high-fat diet and insignificant accumulation of the drugs after multiple dosing. Twelve metabolites were detected in the liver and kidney microsomes of rats and humans; naringin metabolism was a complex process simultaneously catalyzed by multiple human enzymes. All evaluated species demonstrated differences in the pharmacokinetics and metabolism of naringin and naringenin. Conclusion: The results can be used to design a dosage regimen, deepen understanding of mechanisms, and accelerate new drug development. Clinical Trial Registration: http://www.chinadrugtrials.org.cn/eap/main, identifiers CTR20130704 and CTR20190127.

28 January 2019 in Frontiers in Pharmacology
Verified
Journal Article
Open access
PDF file
XZXuan Zeng
Xuan Zeng
WSWeiwei Su
Weiwei Su
YZYuying Zheng
Yuying Zheng
YHYudong He
Yudong He
YHYan He
Yan He
HYHongliang Yao
Hongliang Yao
Aging is an inevitable biological process characterized by the loss of functional capacity and associated with changes in all phases of pharmacokinetic processes. Naringin, a dietary flavanone glycoside, has been proved to be beneficial for the treatment of multiple age-associated chronic diseases. To date, the pharmacokinetic processes of naringin in aged individuals are still unknown. Thus, a rapid resolution liquid chromatography tandem triple quadrupole mass spectrometry (RRLC-QQQ-MS/MS) method was established for the determination of naringin and its metabolite naringenin in rat plasma, urine, feces, and tissue homogenate. The pharmacokinetic parameters were calculated and a higher exposure of naringin and naringenin were observed in aged rats. Naringin and naringenin were mostly distributed in gastrointestinal tract, liver, kidney, lung, and trachea. Furthermore, a total of 39 flavonoid metabolites (mainly glucuronides and sulfates) and 46 microbial-derived phenolic catabolites were screened with ultra-fast liquid chromatography-quadrupole-time-of-flight tandem mass spectrometry (UFLC-Q-TOF-MS/MS). Naringenin, hippuric acid, and 3-(4’-hydroxyphenyl)propionic acid were predominated metabolites. This study systemically investigated the pharmacokinetics, tissue distribution, metabolism, and excretion of naringin in aged rats, revealing age- and gender-related changes in the in vivo behavior of naringin. These results would be helpful for the interpretation of pharmacokinetics and pharmacodynamics of naringin in aged population.

7 April 2018 in Molecular Neurobiology
Verified
Journal Article
Closed access
PDF file
JFJinghan Feng
Jinghan Feng
XCXingmiao Chen
Xingmiao Chen
SLShengwen Lu
Shengwen Lu
WLWenting Li
Wenting Li
DYDan Yang
Dan Yang
JSJiangang Shen
Jiangang Shen

1 February 2006 in Journal of Pharmaceutical and Biomedical Analysis
Verified
Journal Article
Closed access
TFTiezheng Fang
Tiezheng Fang
YWYonggang Wang
Yonggang Wang
YMYan Ma
Yan Ma
WSWeiwei Su
Weiwei Su
YBYang Bai
Yang Bai
PZPeiyu Zhao
Peiyu Zhao