Yuqing Zhang

Dr. Yuqing Zhang

orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

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

Representative Publications

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17 January 2019 in Discover Nano
Verified
Journal Article
Open access
PDF file
ZMZhilei Mao
Zhilei Mao
LQLi Qi
Li Qi
TDTianyu Dong
Tianyu Dong
LZLina Zhang
Lina Zhang
YZYuqing Zhang
Yuqing Zhang
Yankai XiaYankai Xia
Yankai Xia
Titanium dioxide nanoparticles (TiO2 NPs) were used worldwide for decades, and pregnant women are unable to avoid exposing to them. Studies revealed that TiO2 NPs could kill many kinds of bacteria, but whether they would affect the composition of gut microbiota, especially during pregnancy, was seldom reported. And, what adverse effects may be brought to pregnant females was also unknown. In this study, we established the prenatal exposure model of rats to explore the effects of TiO2 NPs on gut microbiota. We observed an increasing trend, but not a significant change of alpha-diversity among control and exposure groups at gestation day (GD) 10 and GD 17 during normal pregnancy process. Each different time point had unique gut microbiota operational taxonomic units (OTUs) characteristics. The abundance of Ellin6075 decreased at GD 10 and GD 17, Clostridiales increased at GD 10, and Dehalobacteriaceae decreased at GD 17 after TiO2 NPs exposure. Further phylogenetic investigation of communities by reconstruction of unobserved states (PICRUSt) prediction indicated that the type 2 diabetes mellitus related genes were enhanced, and taurine metabolism was weakened at the second-trimester. Further study showed that the rats’ fasting blood glucose levels significantly increased at GD 10 (P < 0.05) and GD 17 (P < 0.01) after exposure. Our study pointed out that TiO2 NPs induced the alteration of gut microbiota during pregnancy and increased the fasting blood glucose of pregnant rats, which might increase the potential risk of gestational diabetes of pregnant women.

23 July 2020 in Journal of Diabetes Investigation
Verified
Journal Article
Open access
PDF file
TCTing Chen
Ting Chen
YZYuqing Zhang
Yuqing Zhang
YZYiyun Zhang
Yiyun Zhang
CSChunjian Shan
Chunjian Shan
YZYingying Zhang
Yingying Zhang
ZSzhonghua shi
zhonghua shi
Aims/Introduction: To investigate the changes in the gut microbiome in the second trimester of pregnancy associated with later‐diagnosed gestational diabetes mellitus (GDM) and their relationship with fasting serum levels of metabolites, especially glucose.Materials and Methods: We carried out a case–control study with 110 GDM patients and 220 healthy pregnant women who provided fecal samples for 16S ribosomal ribonucleic acid sequencing in the second trimester of pregnancy.Results: Our results showed that GDM patients had lower α‐diversity that was significantly associated with glycemic traits. Principal coordinates analysis showed significantly different microbial communities, as within GDM patients, seven genera within the phylum Firmicutes and two within the phylum Actinobacteria were significantly decreased, and four genera within phylum Bacteroidetes were increased. In addition, microbiota co‐occurrence network analysis was carried out, and decreased genera within the phylum Firmicutes in GDM patients showed a significant negative correlation with oral glucose tolerance test values. Finally, microbial gene functions related to glycan biosynthesis and metabolism were found to be enriched in GDM patients.Conclusions: Our results show the relationship between changed gut microbiota composition in the second trimester of pregnancy before the diagnosis of GDM and fasting serum levels of metabolites, which might inform the diagnosis, prevention and treatment of GDM.

17 May 2024 in Toxics
Verified
Journal Article
Open access
PDF file
JLJunyi Lv
Junyi Lv
QHQing He
Qing He
ZYZixiang Yan
Zixiang Yan
YXYuan Xie
Yuan Xie
YWYao Wu
Yao Wu
ZHZhenyao Huang
Zhenyao Huang
Nanoplastics, created by the fragmentation of larger plastic debris, are a serious pollutant posing substantial environmental and health risks. Here, we developed a polystyrene nanoparticle (PS-NP) exposure model during mice pregnancy to explore their effects on embryonic development. We found that exposure to 30 nm PS-NPs during pregnancy resulted in reduced mice placental weight and abnormal embryonic development. Subsequently, our transcriptomic dissection unveiled differential expression in 102 genes under PS-NP exposure and the p38 MAPK pathway emerged as being significantly altered in KEGG pathway mapping. Our findings also included a reduction in the thickness of the trophoblastic layer in the placenta, diminished cell invasion capabilities, and an over-abundance of immature red cells in the blood vessels of the mice. In addition, we validated our findings through the human trophoblastic cell line, HTR-8/SVneo (HTR). PS-NPs induced a drop in the vitality and migration capacities of HTR cells and suppressed the p38 MAPK signaling pathway. This research highlights the embryotoxic effects of nanoplastics on mice, while the verification results from the HTR cells suggest that there could also be certain impacts on the human trophoblast layer, indicating a need for further exploration in this area.

11 December 2024 in Environmental Pollution
Verified
Journal Article
Closed access
XZXingdi Zhu
Xingdi Zhu
CCCongxin Chen
Congxin Chen
QLQi Liu
Qi Liu
ZZZhihong Zhu
Zhihong Zhu
XWXiaoli Wu
Xiaoli Wu
YZYuqing Zhang
Yuqing Zhang

2 November 2018 in British Journal Of Neurosurgery
Verified
Journal Article
Closed access
WSWei Shu
Wei Shu
YLYongjie Li
Yongjie Li
JLJianyu Li
Jianyu Li
YZYuqing Zhang
Yuqing Zhang
We present the effectiveness of interleaving programming in pallidal deep brain stimulation in a patient with Meige syndrome. This patient’s symptoms were initially inadequately relieved by conventional programming methods. Then, we switched to the interleaving programming strategy, which produced an individual electrical density and improved her symptoms significantly.

17 March 2023 in Obesity Research & Clinical Practice
Verified
Journal Article
Closed access
QHQi Hu
Qi Hu
YZYuqing Zhang
Yuqing Zhang
MLMinjuan Liu
Minjuan Liu
BWBenjing Wang
Benjing Wang
XWXu Wang
Xu Wang
TWting wang
ting wang