Xinning Yang

Dr. Xinning Yang


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

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

Representative Publications

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21 June 2022 in Clinical Pharmacology & Therapeutics
Verified
Journal Article
Closed access
XCXiaoyan Chu
Xiaoyan Chu
BPBhagwat Prasad
Bhagwat Prasad
SNSibylle Neuhoff
Sibylle Neuhoff
KYKenta Yoshida
Kenta Yoshida
JLJames Steven Leeder
James Steven Leeder
AGAleksandra Galetin
Aleksandra Galetin

22 June 2022 in Clinical Pharmacology & Therapeutics
Verified
Journal Article
Closed access
KTKunal S Taskar
Kunal S Taskar
Xinning YangXinning Yang
Xinning Yang
SNSibylle Neuhoff
Sibylle Neuhoff
MPMitesh Patel
Mitesh Patel
KYKenta Yoshida
Kenta Yoshida
TIThe Itc
The Itc


14 May 2020 in CPT: Pharmacometrics & Systems Pharmacology
Verified
Journal Article
Open access
PDF file
DSDaniel Scotcher
Daniel Scotcher
VAVikram Arya
Vikram Arya
Xinning YangXinning Yang
Xinning Yang
PZPing Zhao
Ping Zhao
LZLei Zhang
Lei Zhang
AGAleksandra Galetin
Aleksandra Galetin
Creatinine is widely used as a biomarker of glomerular filtration, and, hence, renal function. However, transporter‐mediated secretion also contributes to its renal clearance, albeit to a lesser degree. Inhibition of these transporters causes transient serum creatinine elevation, which can be mistaken as impaired renal function. The current study developed mechanistic models of creatinine kinetics within physiologically based framework accounting for multiple transporters involved in creatinine renal elimination, assuming either unidirectional or bidirectional‐OCT2 transport (driven by electrochemical gradient). Robustness of creatinine models was assessed by predicting creatinine‐drug interactions with 10 perpetrators; performance evaluation accounted for 5% intra‐individual variability in serum creatinine. Models showed comparable predictive performances of the maximum steady‐state effect regardless of OCT2 directionality assumptions. However, only the bidirectional‐OCT2 model successfully predicted the minimal effect of ranitidine. The dynamic nature of models provides clear advantage to static approaches and most advanced framework for evaluating interplay between multiple processes in creatinine renal disposition.

19 March 2025 in Clinical Pharmacology & Therapeutics
Verified
Journal Article
Closed access
KRKelly Reynolds
Kelly Reynolds
Xinning YangXinning Yang
Xinning Yang
SPSheila Annie Peters
Sheila Annie Peters
VSVikram Sinha
Vikram Sinha
HHHelen Heymann
Helen Heymann
RMRajanikanth Madabushi
Rajanikanth Madabushi

27 May 2025 in Clinical Pharmacology & Therapeutics
Verified
Journal Article
Open access
SASatoshi Asano
Satoshi Asano
AGAleksandra Galetin
Aleksandra Galetin
YTYoshiko Tomita
Yoshiko Tomita
KGKathleen M. Giacomini
Kathleen M. Giacomini
XCXiaoyan Chu
Xiaoyan Chu
YSYuichi Sugiyama
Yuichi Sugiyama
Organic cation transporter (OCT) 2 and multidrug and toxin extrusion (MATE) transporters play significant roles in the renal secretion of organic cations and drug–drug interactions (DDIs). Recent in vitro studies indicate that the K i values for OCT2 exhibit substrate dependency and increase in potency with pre‐incubation. However, consensus is lacking on whether these factors should be considered in predicting in vivo inhibition. Physiologically based pharmacokinetic models, combined with the extended clearance concept, have been used and are discussed here for OCT2/MATEs probes. In addition to modeling, early clinical studies use endogenous biomarkers to evaluate transporter‐mediated DDI risk, with the aim of avoiding unnecessary clinical DDI studies. Identified biomarkers for OCT2/MATEs, such as creatinine, N 1 ‐methylnicotinamide, and N 1 ‐methyladenosine, have proven useful in confirming clinically relevant OCT2/MATEs‐mediated DDIs when renal clearance (CLr) is used as an endpoint; their application is discussed further. From a clinical perspective, the intact nephron hypothesis (INH), which postulates that the decrease in CLr in chronic kidney disease (CKD) is proportional to that in nephron numbers, has been proposed. However, reports suggest that the secretion clearance of creatinine and substrates of organic anion transporters (OATs) does not follow this proportionality in patients with CKD. This state‐of‐the‐art review highlights key developments in predicting OCT2/MATEs‐mediated DDIs in healthy volunteers and explores the prediction of clinical OCT2/MATEs DDI risk in patients with CKD by comparing substrate‐dependent changes in secretion clearance for substrates of OCT2/MATEs and OATs. Recommendations for the prediction of OCT2/MATEs‐mediated DDI risk, together with the current knowledge gaps and future directions, are discussed.