Han Xing

Han Xing


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 2024 in Burns & Trauma
Verified
Journal Article
Open access
PDF file
ZWZiqing Wei
Ziqing Wei
HYHaihan Yu
Haihan Yu
HZHuijuan Zhao
Huijuan Zhao
MWMingze Wei
Mingze Wei
HXHan Xing
Han Xing
KRKaidi Ren
Kaidi Ren
Traumatic brain injury (TBI) is a leading cause of death and disability worldwide, with ~50 million people experiencing TBI each year. Ferroptosis, a form of regulated cell death triggered by iron ion-catalyzed and reactive oxygen species-induced lipid peroxidation, has been identified as a potential contributor to traumatic central nervous system conditions, suggesting its involvement in the pathogenesis of TBI. Alterations in iron metabolism play a crucial role in secondary injury following TBI. This study aimed to explore the role of ferroptosis in TBI, focusing on iron metabolism disorders, lipid metabolism disorders and the regulatory axis of system Xc−/glutathione/glutathione peroxidase 4 in TBI. Additionally, we examined the involvement of ferroptosis in the chronic TBI stage. Based on these findings, we discuss potential therapeutic interventions targeting ferroptosis after TBI. In conclusion, this review provides novel insights into the pathology of TBI and proposes potential therapeutic targets.

1 August 2016 in Drug Metabolism and Pharmacokinetics
Verified
Journal Article
Closed access
XSXiaolin Sun
Xiaolin Sun
JLJunxiu Li
Junxiu Li
CGChaorui Guo
Chaorui Guo
HXHan Xing
Han Xing
JXJie Xu
Jie Xu
DZDi Zhao
Di Zhao

1 May 2021 in Journal of Pharmaceutical Sciences
Verified
Journal Article
Closed access
ZQZifei Qin
Zifei Qin
PWPeile Wang
Peile Wang
SDShuyi Duan
Shuyi Duan
XWXiaoying Wan
Xiaoying Wan
HXHan Xing
Han Xing
XYXinsheng Yao
Xinsheng Yao

22 April 2019 in Molecules
Verified
Journal Article
Open access
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HXHan Xing
Han Xing
DKDexuan Kong
Dexuan Kong
CNChen Ning
Chen Ning
YKYing Kong
Ying Kong
CRChang Ren
Chang Ren
YLYang Lu
Yang Lu
GL-V9 is a prominent derivative of wogonin with a wide therapeutic spectrum and potent anti-tumor activity. The metabolism characteristics of GL-V9 remain unclear. This study aimed to clarify the metabolic pathway of GL-V9 and investigate the generation of its glucuronidation metabolites in vitro and in vivo. HPLC-UV-TripleTOF was used to identify metabolites. The main metabolite that we found was chemically synthesized and the synthetic metabolite was utilized as standard substance for the subsequent metabolism studies of GL-V9, including enzyme kinetics in liver microsomes of five different species and reaction phenotyping metabolism using 12 recombinant human UDP-glucuronosyltransferase (UGT) isoforms. Results indicated that the glucuronidation reaction occurred at C5-OH group, and 5-O-glucuronide GL-V9 is the only glucuronide metabolite and major phase II metabolite of GL-V9. Among 12 recombinant human UGTs, rUGT1A9 showed the strongest catalytic capacity for the glucuronidation reaction of GL-V9. rUGT1A7 and rUGT1A8 were also involved in the glucuronidation metabolism. Km of rUGT1A7-1A9 was 3.25 ± 0.29, 13.92 ± 1.05, and 4.72 ± 0.28 μM, respectively. In conclusion, 5-O-glucuronide GL-V9 is the dominant phase II metabolite of GL-V9 in vivo and in vitro, whose formation rate and efficiency are closely related to isoform-specific metabolism profiles and the distribution of UGTs in different tissues of different species.

1 May 2025 in Drug Design, Development and Therapy
Verified
Journal Article
Open access
PDF file
JYJing Yang
Jing Yang
HWHaoran Wang
Haoran Wang
DLDongmei Liu
Dongmei Liu
WCWeijie Cao
Weijie Cao
HXHan Xing
Han Xing
PWPeile Wang
Peile Wang
Background: Venetoclax is a selective small-molecule BCL-2 inhibitor that has been approved for treating hematologic malignancies. Co-administration with CYP3A inhibitors, such as voriconazole, poses a high risk of drug–drug interactions (DDIs) that can increase venetoclax exposure. This study aimed to develop a population pharmacokinetics (PopPK) model to characterize the PK properties of venetoclax when co-administered with voriconazole. Methods: Patients (≥ 18 years of age) treated with venetoclax for hematologic malignancies and concomitant with voriconazole were enrolled. A PopPK model of venetoclax was developed, and Monte Carlo simulations were performed to optimize dosing regimens. Results: A total of 261 samples from 30 patients were collected as the development dataset, and 55 samples from 43 patients as the external validation dataset. Venetoclax concentrations were adequately described by a two-compartment linear model with first-order absorption and elimination and absorption lag-time. Albumin was identified as a significant covariate influencing the clearance, with a typical value of 1.31 ± 0.08 L/h. Simulation indicated that the exposure to venetoclax (75 mg/day and 100 mg/day) concomitant with voriconazole was higher than that to venetoclax (400 mg/day) alone and tended to accumulate over two weeks. Conclusion: Co-administration of voriconazole contributed to elevated venetoclax exposure. These potential DDIs suggest the need for therapeutic drug monitoring of venetoclax.